There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 705`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 705`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 705`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 525`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 525`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 525`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 525`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 800`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 800`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 800`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 800`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1306`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1306`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1306`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1306`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 668`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 668`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 668`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 668`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 959`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 959`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 959`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 995`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 995`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 995`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 995`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1109`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1109`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1109`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1109`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 440`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 440`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 440`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 479`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 479`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 479`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 479`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1307`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1307`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1307`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1307`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1141`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1141`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1141`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1141`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 700`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 700`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 700`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 700`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 725`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 725`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 725`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 832`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 832`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 832`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 832`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 498`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 498`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 498`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 498`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1429`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1429`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1429`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 563`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 563`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 563`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1300`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1300`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1300`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1300`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1001`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1001`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1001`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 610`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 610`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 610`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1266`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1266`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1266`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1266`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 582`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 582`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 582`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 582`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 566`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 566`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 566`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 566`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 744`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 744`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 744`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 744`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 517`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 517`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 517`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 905`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 905`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 905`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 905`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 467`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 467`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 467`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 467`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 620`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 620`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 620`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 620`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1345`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1345`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1345`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 816`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 816`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 816`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 816`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 454`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 454`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 454`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 454`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 584`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 584`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 584`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 802`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 802`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 802`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 802`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 883`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 883`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 883`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 883`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 524`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 524`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 524`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 971`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 971`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 971`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 971`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1467`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1467`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1467`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 788`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 788`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 788`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 788`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 932`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 932`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 932`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 618`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 618`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 618`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 618`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 807`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 807`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 807`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 807`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 703`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 703`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 703`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 470`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 470`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 470`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 431`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 431`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 431`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 431`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1244`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1244`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1244`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 434`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 434`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 434`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1190`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 852`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 852`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 852`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 852`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 795`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 795`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 795`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 767`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 767`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 767`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 767`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 603`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 603`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 603`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 603`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1276`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1276`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1276`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 672`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 672`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 672`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1394`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1394`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1394`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 405`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 405`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 405`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 405`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 687`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 687`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 687`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 687`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 646`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 646`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 646`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 646`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 454`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 454`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 454`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 454`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1073`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1073`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1073`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1073`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1158`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1158`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1158`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1116`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1116`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1116`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1451`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1451`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1451`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1451`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1300`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1300`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1300`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1197`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1197`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1197`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 963`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 963`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 963`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 432`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 432`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 432`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 787`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 787`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 787`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 787`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 459`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 459`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 459`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 459`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 510`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 510`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 510`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 891`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 891`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 891`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 703`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 703`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 703`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 703`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 601`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 601`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 601`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 601`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 630`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 630`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 630`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 974`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 974`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 974`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1173`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1173`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1173`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 683`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 683`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 683`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 683`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1020`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1020`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1020`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1020`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 963`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 963`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 963`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 963`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1191`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1191`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1191`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1191`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1277`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1277`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1277`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1277`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1122`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1122`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1122`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 976`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 976`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 976`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 976`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 430`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 430`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 430`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 430`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 766`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 766`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 766`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 766`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 996`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 996`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 996`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 756`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 756`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 756`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 756`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1305`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1305`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1305`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1305`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1343`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1343`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1343`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 665`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 665`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 665`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 633`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 633`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 633`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 947`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 947`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 947`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1191`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1191`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1191`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1191`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1225`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1225`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1225`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1225`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 916`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 916`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 916`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 916`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 835`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 835`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 835`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 408`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 408`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 408`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 408`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1191`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1191`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1191`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1076`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1076`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1076`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 786`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 786`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 786`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 786`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 651`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 651`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 651`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1489`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1489`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1489`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1489`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1384`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1384`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1384`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1384`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1382`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1382`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1382`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1429`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1429`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1429`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1159`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1159`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1159`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 499`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 499`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 499`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 499`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 400`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 400`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 400`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1447`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1447`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1447`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 544`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 544`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 544`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 544`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1143`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1143`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1143`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1431`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1431`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1431`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1431`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1154`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1154`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1154`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1400`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1400`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1400`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 596`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 596`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 596`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 596`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 564`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 564`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 564`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 564`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 404`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 404`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 404`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 404`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 986`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 986`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 986`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 848`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 848`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 848`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1422`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1422`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1422`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1422`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 725`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 725`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 725`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 725`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1223`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1223`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1223`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1223`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1423`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1423`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1423`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1423`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1166`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1166`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1166`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1166`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 542`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 542`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 542`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 861`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 861`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 861`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 967`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 967`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 967`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1382`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1382`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1382`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1382`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 681`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 681`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 681`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 681`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 570`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 570`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 570`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 486`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 486`, `min_n = 21`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 486`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1098`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1098`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1098`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1098`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 475`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 475`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 475`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 475`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1449`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1449`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1449`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1449`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 928`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 928`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 928`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1033`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1033`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1033`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1033`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 798`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 798`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 798`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1252`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1252`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1252`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1252`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1145`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1145`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1145`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 686`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 686`, `min_n = 21`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 686`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1270`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1270`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1270`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1290`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1290`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1290`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1474`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1474`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1474`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1474`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 764`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 764`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 764`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 411`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 411`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 411`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 411`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 762`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 762`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 762`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 634`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 634`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 634`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1000`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1000`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1000`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 741`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 741`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 741`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1418`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1418`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1418`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1378`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1378`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1378`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1378`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1103`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1103`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1103`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1103`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1467`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1467`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1467`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 822`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 822`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 822`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 577`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 577`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 577`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1095`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1095`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1095`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1095`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 559`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 559`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 559`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 635`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 635`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 635`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 652`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 652`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 652`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 652`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1296`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1296`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1296`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1296`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 402`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 402`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 402`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 713`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 713`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 713`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1162`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1162`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1162`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 957`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 957`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 957`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 957`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 734`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 734`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 734`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 734`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 440`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 440`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 440`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 440`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 691`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 691`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 691`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 691`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1032`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1032`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1032`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1226`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1226`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1226`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 890`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 890`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 890`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 890`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 870`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 870`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 870`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 870`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 922`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 922`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 922`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 922`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 495`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 495`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 495`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1167`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1167`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1167`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1167`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1422`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1422`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1422`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1422`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1248`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1248`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1248`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1368`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1368`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1368`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1368`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1192`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1192`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1192`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1182`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1182`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1182`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1182`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 470`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 470`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 470`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1225`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1225`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1225`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 761`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 761`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 761`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 761`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 865`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 865`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 865`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1445`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1445`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1445`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1445`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 442`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 442`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 442`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 442`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1240`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1240`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1240`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1240`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1265`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1265`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1265`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1265`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1018`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1018`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1018`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 599`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 599`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 599`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 599`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1406`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1406`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1406`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1406`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1208`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1208`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1208`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 663`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 663`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 663`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 663`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 998`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 998`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 998`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1232`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1232`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1232`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1232`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 490`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 490`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 490`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 490`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 681`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 681`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 681`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 687`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 687`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 687`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 713`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 713`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 713`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 713`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 611`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 611`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 611`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 622`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 622`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 622`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 622`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1068`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1068`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1068`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1068`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1021`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1021`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1021`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1021`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 603`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 603`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 603`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 983`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 983`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 983`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 630`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 630`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 630`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 630`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 758`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 758`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 758`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1180`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1180`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1180`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 759`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 759`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 759`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 920`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 920`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 920`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 748`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 748`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 748`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1202`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1202`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1202`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1121`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1121`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1121`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1121`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1398`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1398`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1398`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1124`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1124`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1124`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 453`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 453`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 453`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 499`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 499`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 499`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 499`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 780`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 780`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 780`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1108`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1108`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1108`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1108`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 645`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 645`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 645`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 645`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1197`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1197`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1197`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 450`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 450`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 450`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1276`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1276`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1276`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1276`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 786`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 786`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 786`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1261`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1261`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1261`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1261`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 18`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 18`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 535`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1134`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1134`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1134`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1134`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1317`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1317`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1317`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1145`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1145`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1145`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1145`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 867`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 867`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 867`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 867`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1019`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1019`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1019`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1019`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1135`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1135`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1135`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1135`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1312`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1312`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1312`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1312`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 502`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 502`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 502`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 502`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1084`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1084`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1084`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 827`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 827`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 827`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 827`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1388`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1388`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1388`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 530`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 530`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 530`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 530`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 644`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 644`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 644`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 644`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 756`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 756`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 756`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 677`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 677`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 677`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 677`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 405`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 405`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 405`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 405`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1276`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1276`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1276`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1461`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1461`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1461`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1441`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1441`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1441`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 586`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 586`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 586`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 586`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1239`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1239`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1239`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1239`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1265`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1265`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1265`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1074`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1074`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1074`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1074`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1060`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1060`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1060`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1060`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 475`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 475`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 475`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1181`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1181`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1181`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1071`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1071`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1071`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 542`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 542`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 542`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 769`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 769`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 769`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 769`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 411`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 411`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 411`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 931`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 931`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 931`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 931`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1271`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1271`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1271`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1271`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 587`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 587`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 587`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 587`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1043`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1043`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1043`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1043`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 634`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 634`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 634`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 938`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 938`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 938`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 938`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 492`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 492`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 492`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 492`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 966`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 966`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 966`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 966`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1166`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1166`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1166`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1166`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 751`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 751`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 751`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 751`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1483`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1483`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1483`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1483`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 898`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 898`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 898`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 972`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 972`, `min_n = 22`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 972`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 492`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 492`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 492`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1292`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1292`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1292`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 681`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 681`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 681`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 681`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1413`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1413`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1413`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1438`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1438`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1438`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1438`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 623`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 623`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 623`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 623`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1481`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1481`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1481`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1481`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1328`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1328`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1328`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1328`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1148`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1148`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1148`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 734`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 734`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 734`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 734`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 423`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 423`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 423`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 423`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 992`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 992`, `min_n = 18`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 992`, `min_n = 18`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 992`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 685`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 685`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 685`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 685`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 447`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 447`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 447`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 447`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 623`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 623`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 623`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 623`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 592`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 592`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 592`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 522`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 522`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 522`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 464`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 464`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 464`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 464`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1434`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1434`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1434`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1434`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1328`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1328`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1328`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1328`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1064`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1064`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1064`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1064`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 609`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 609`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 609`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 741`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 741`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 741`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 741`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1144`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1144`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1144`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 421`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 421`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 421`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 421`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 476`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 476`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 476`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 476`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1366`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1366`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1366`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1366`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 843`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 843`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 843`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1458`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1458`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1458`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1458`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 930`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 930`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 930`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 930`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 739`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 739`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 739`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 931`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 931`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 931`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 448`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 448`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 448`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 448`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1373`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1373`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1373`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 635`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 635`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 635`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 635`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 731`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 731`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 731`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 731`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 997`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 997`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 997`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1281`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1281`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1281`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1281`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1059`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1059`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1059`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1059`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1439`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1439`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1439`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1425`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1425`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1425`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1425`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1092`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1092`, `min_n = 21`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1092`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 448`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 448`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 448`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1322`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1322`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1322`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1322`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 640`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 640`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 640`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 640`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1345`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1345`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1345`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1345`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 420`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 420`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 420`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1264`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1264`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1264`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1264`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1064`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1064`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1064`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1064`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1331`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1331`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1331`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 666`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 666`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 666`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 666`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1271`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1271`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1271`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1271`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1215`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1215`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1215`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1181`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1181`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1181`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1181`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 415`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 415`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 415`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 747`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 747`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 747`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1175`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1175`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1175`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1175`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 416`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 416`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 416`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 588`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 588`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 588`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 588`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1420`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1420`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1420`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1105`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1105`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1105`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1105`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 495`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 495`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 495`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 495`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1206`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1206`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1206`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1206`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 527`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 527`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 527`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1320`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1320`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1320`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1320`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 900`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 900`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 900`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 545`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 545`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 545`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 545`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 719`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 719`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 719`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 719`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 710`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 710`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 710`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 710`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 434`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 434`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 434`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1311`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1311`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1311`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1295`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1295`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1295`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1295`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 753`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 753`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 753`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 753`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 667`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 667`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 667`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 667`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 737`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 737`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 737`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 737`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1075`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1075`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1075`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1075`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 503`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 503`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 503`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 503`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 705`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 705`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 705`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 705`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 818`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 818`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 818`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1170`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1170`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1170`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1170`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 588`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 588`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 588`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 588`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1204`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1204`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1204`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1375`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1375`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1375`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1307`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1307`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1307`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1225`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1225`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1225`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1225`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 959`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 959`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 959`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 959`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 864`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 864`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 864`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 864`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1203`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1203`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1203`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1203`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 830`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 830`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 830`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 518`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 518`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 518`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 985`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 985`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 985`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1469`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1469`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1469`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1256`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1256`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1256`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1401`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1401`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1401`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1314`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1314`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1314`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1314`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1019`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1019`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1019`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1083`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1138`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1138`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1138`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1138`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 971`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 971`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 971`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 971`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1377`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1377`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1377`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 881`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 881`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 881`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 466`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 466`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 466`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1207`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1207`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1207`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1207`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 634`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 634`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 634`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1146`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1146`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1146`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 551`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 551`, `min_n = 21`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 551`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 974`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 974`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 974`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 974`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1447`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1447`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1447`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1099`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1099`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1099`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1385`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1385`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1385`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1385`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 450`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 450`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 450`, `min_n = 19`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 450`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 768`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 768`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 768`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1398`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1398`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1398`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1398`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1244`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 702`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 702`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 702`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1150`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1150`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1150`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1150`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1473`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1473`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1473`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 922`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 922`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 922`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 922`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 453`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 453`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 453`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 453`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1449`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1449`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1449`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 496`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 496`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 496`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 496`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 692`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 692`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 692`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 692`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 524`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 524`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 524`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 677`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 677`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 677`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 677`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1454`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1454`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1454`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1454`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 520`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 520`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 520`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 520`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 925`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 925`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 925`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 462`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 462`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 462`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 462`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1441`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1441`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1441`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1441`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1181`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1181`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1181`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1181`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 426`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 426`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 426`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 426`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1435`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1435`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1435`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1435`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 564`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 564`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 564`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 564`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 692`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 692`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 692`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 480`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 480`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 480`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 480`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 990`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 990`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 990`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 712`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 712`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 712`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 749`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 749`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 749`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 749`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 694`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 694`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 694`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 881`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 881`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 881`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 881`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1145`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1145`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1145`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 687`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 687`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 687`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 687`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1415`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1415`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1415`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1194`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1194`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1194`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1194`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1089`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1089`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1089`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1089`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 540`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 540`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 540`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1190`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1190`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1190`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 534`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 534`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 534`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1274`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1274`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1274`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1274`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1342`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1342`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1342`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 812`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 812`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 812`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1185`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1185`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1185`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1185`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1058`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1058`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1058`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1376`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1376`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1376`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 852`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 852`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 852`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 852`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1010`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1010`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1010`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1010`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 647`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 647`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 647`, `min_n = 22`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 647`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1029`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1029`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1029`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 816`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 816`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 816`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 816`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 558`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 558`, `min_n = 17`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 558`, `min_n = 17`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 558`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 500`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 500`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 500`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1289`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1289`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1289`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 870`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 870`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 870`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 870`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1101`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1101`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1101`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1101`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1482`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1482`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1482`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1482`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 967`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 967`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 967`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 967`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1433`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1433`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1433`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1433`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 891`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 891`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 891`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 891`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1477`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1477`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1477`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 984`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 984`, `min_n = 18`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 984`, `min_n = 18`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 984`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1405`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1405`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1405`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1405`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1178`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1178`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1178`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 810`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 810`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 810`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 810`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 419`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 419`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 419`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 419`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 857`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 857`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 857`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 857`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 714`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 714`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 714`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1001`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1001`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1001`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1001`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1128`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1128`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1128`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1128`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1146`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1146`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1146`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1146`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 920`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 920`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 920`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1208`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1208`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1208`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 841`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1197`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1197`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1197`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 895`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 895`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 895`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 895`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 425`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 425`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 425`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 425`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 478`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 478`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 478`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 478`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1029`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1029`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1029`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1029`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 624`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 624`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 624`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 624`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 810`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1358`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1358`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1358`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1358`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1251`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1251`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1251`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1251`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 844`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 844`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 844`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 844`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1326`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1326`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1326`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1011`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1011`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1011`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 847`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 557`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 557`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 557`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 557`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1338`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1338`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1338`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1338`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 480`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 480`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 480`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 480`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1348`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1348`, `min_n = 21`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1348`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 516`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 516`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 516`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 516`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 674`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 674`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 674`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 674`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1198`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1198`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1198`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1425`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1425`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1425`, `min_n = 20`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1425`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 848`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 848`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 848`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 848`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1054`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1054`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1054`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1054`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 605`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 605`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 605`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 605`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1330`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1330`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1330`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1330`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1096`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1096`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1096`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1096`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 452`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 452`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 452`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 452`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 522`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 522`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 522`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 522`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 895`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 895`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 895`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 566`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 566`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 566`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 566`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1243`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1243`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1243`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1243`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1007`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1007`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1007`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 612`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 612`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 612`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 612`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 634`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 634`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 634`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 634`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 915`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 915`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 915`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 448`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 448`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 448`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 448`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1069`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1069`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1069`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 684`, `min_n = 22`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 684`, `min_n = 22`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 684`, `min_n = 22`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 740`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 740`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 740`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 740`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 796`, `min_n = 32`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 796`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 796`, `min_n = 32`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 796`, `min_n = 32`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 806`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 806`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 806`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1435`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1435`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1435`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1435`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 481`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 481`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 481`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 481`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1322`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1322`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1322`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1322`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 770`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 770`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 770`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 770`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 876`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 876`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 876`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 731`, `min_n = 17`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 731`, `min_n = 17`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 731`, `min_n = 17`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1082`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1082`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1082`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1082`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 876`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 876`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 876`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 876`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1014`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1014`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1014`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 436`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 436`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 436`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 583`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 583`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 583`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 583`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 572`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 572`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 572`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 940`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 940`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 940`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 940`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 742`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 742`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 742`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1441`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1441`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1441`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1095`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1095`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1095`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 784`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 784`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 784`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 784`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 980`, `min_n = 19`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 980`, `min_n = 19`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 980`, `min_n = 19`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 809`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 809`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 809`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 809`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 986`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 986`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 986`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1379`, `min_n = 4`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1379`, `min_n = 4`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1379`, `min_n = 4`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1363`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1363`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1363`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 527`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 527`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 527`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 527`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 690`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 690`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 690`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 690`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 543`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 543`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 543`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1409`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1409`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1409`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1409`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1010`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1010`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1010`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1010`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 882`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 882`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 882`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 882`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 469`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 469`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 469`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 834`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 834`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 834`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1413`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1413`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1413`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1413`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 438`, `min_n = 31`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 438`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 438`, `min_n = 31`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 438`, `min_n = 31`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1054`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1054`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1054`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1054`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 845`, `min_n = 30`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 845`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 845`, `min_n = 30`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 845`, `min_n = 30`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 927`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 927`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 927`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 927`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1248`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1248`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1248`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 731`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 731`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 731`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 731`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 583`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 583`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 583`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 694`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 694`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 694`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 694`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 487`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 487`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 487`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 487`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 540`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 540`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 540`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1370`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1370`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1370`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1370`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 772`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 772`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 772`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 772`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1335`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1335`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1335`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1401`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1401`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1401`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 917`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 917`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 917`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1434`, `min_n = 35`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1434`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1434`, `min_n = 35`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1434`, `min_n = 35`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 750`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 750`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 750`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 750`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1374`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1374`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1374`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1374`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1343`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1343`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1343`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1343`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 591`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 591`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 591`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 906`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 906`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 906`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 906`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1402`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1402`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1402`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1402`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1228`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1228`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1228`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 626`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 626`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 626`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1079`, `min_n = 15`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1079`, `min_n = 15`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1079`, `min_n = 15`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1008`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1008`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1008`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1008`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 28`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 28`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 28`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 671`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 671`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 671`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 671`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1373`, `min_n = 34`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1373`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1373`, `min_n = 34`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1373`, `min_n = 34`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1476`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1476`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1476`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 602`, `min_n = 7`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 602`, `min_n = 7`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 602`, `min_n = 7`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1466`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1466`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1466`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 869`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 869`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 869`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 694`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 694`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 694`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 694`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1017`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1017`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1017`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1017`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 997`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 997`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 997`, `min_n = 23`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 997`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1373`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1373`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1373`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1376`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1376`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1376`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1249`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1249`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1249`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1249`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 584`, `min_n = 33`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 584`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 584`, `min_n = 33`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 584`, `min_n = 33`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1326`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1326`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1326`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1326`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 900`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 900`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 900`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 900`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1072`, `min_n = 38`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1072`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1072`, `min_n = 38`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1072`, `min_n = 38`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1296`, `min_n = 18`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1296`, `min_n = 18`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1296`, `min_n = 18`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1420`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1420`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1420`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1420`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 813`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 813`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 813`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 562`, `min_n = 13`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 562`, `min_n = 13`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 562`, `min_n = 13`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 26`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 26`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1319`, `min_n = 26`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 783`, `min_n = 9`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 783`, `min_n = 9`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 783`, `min_n = 9`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 754`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 754`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 754`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 569`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 569`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 569`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 569`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 457`, `min_n = 20`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 457`, `min_n = 20`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 457`, `min_n = 20`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 639`, `min_n = 21`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 639`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 639`, `min_n = 21`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 639`, `min_n = 21`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 495`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 495`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 495`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 495`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 686`, `min_n = 6`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 686`, `min_n = 6`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 686`, `min_n = 6`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 434`, `min_n = 5`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 434`, `min_n = 5`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 434`, `min_n = 5`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1350`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1350`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1350`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 812`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 812`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 812`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 590`, `min_n = 25`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 590`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 590`, `min_n = 25`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 590`, `min_n = 25`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1480`, `min_n = 40`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1480`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1480`, `min_n = 40`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1480`, `min_n = 40`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 716`, `min_n = 16`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 716`, `min_n = 16`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 716`, `min_n = 16`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 716`, `min_n = 2`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 716`, `min_n = 2`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 716`, `min_n = 2`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 954`, `min_n = 8`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 954`, `min_n = 8`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 954`, `min_n = 8`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 679`, `min_n = 23`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 679`, `min_n = 23`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 679`, `min_n = 23`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 834`, `min_n = 29`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 834`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 834`, `min_n = 29`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 834`, `min_n = 29`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1319`, `min_n = 3`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1319`, `min_n = 3`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1319`, `min_n = 3`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 12`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 12`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 12`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 521`, `min_n = 11`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 521`, `min_n = 11`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 521`, `min_n = 11`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1150`, `min_n = 36`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1150`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1150`, `min_n = 36`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1150`, `min_n = 36`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 780`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 493`, `min_n = 14`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 493`, `min_n = 14`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 493`, `min_n = 14`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 477`, `min_n = 27`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 477`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 477`, `min_n = 27`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 477`, `min_n = 27`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 469`, `min_n = 10`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 469`, `min_n = 10`.
Caused by warning:
! While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Recall is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 1, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 469`, `min_n = 10`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1339`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1339`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1339`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1339`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1268`, `min_n = 37`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1268`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1268`, `min_n = 37`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1268`, `min_n = 37`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1487`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1487`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1487`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 4`, `trees = 1487`, `min_n = 24`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1316`, `min_n = 39`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1316`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1316`, `min_n = 39`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1316`, `min_n = 39`.
Caused by warning:
! No observations were detected in `truth` for level(s): '1'
Computation will proceed by ignoring those levels., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1359`, `min_n = 24`.
Caused by warning:
! While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`). 
Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of predicted events actually occured for each problematic event level:
'1': 0, There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1359`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`). 
Precision is undefined in this case, and those levels will be removed from the averaged result.
Note that the following number of true events actually occured for each problematic event level:
'1': 0, There were 2 warnings in `dplyr::summarise()`.
The first warning was:
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1359`, `min_n = 24`.
Caused by warning:
! While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + fa