There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 516`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 516`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 537`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 537`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1277`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1277`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 922`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 922`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '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 binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1074`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1433`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1433`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1235`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1235`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 598`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 598`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 554`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 554`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 851`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 851`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1012`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1012`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 403`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 403`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 880`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 880`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1482`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1482`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1183`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1183`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 886`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 886`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1430`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1430`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 988`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 988`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 929`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 929`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 706`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 706`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1474`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1474`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 421`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 421`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1362`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1362`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 767`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 767`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 815`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 815`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 423`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 423`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 637`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 637`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1087`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1087`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 877`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 877`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1336`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1336`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 456`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 456`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1273`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1273`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 802`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 802`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 572`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 572`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 674`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 674`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1415`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1415`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1254`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1254`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 534`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 534`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 874`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 874`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1350`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1350`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1429`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1429`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 466`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 466`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 421`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 421`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 703`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 703`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1191`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1191`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 833`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 833`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1260`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1260`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1247`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1247`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 677`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 677`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 984`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 984`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1228`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1228`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1361`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1361`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 593`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 593`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1467`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1467`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1011`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1011`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 872`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 872`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 495`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 495`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1251`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1251`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 740`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 740`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1204`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1204`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 594`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 594`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 877`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 877`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 596`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 596`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 868`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 868`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '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 binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 583`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 780`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 780`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 579`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 579`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1343`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1343`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 750`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 750`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 565`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 565`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 795`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 795`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 463`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 463`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1079`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1079`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 512`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 512`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1268`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1268`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1038`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1038`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 724`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 724`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1002`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1002`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 554`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 554`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 872`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 872`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 879`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 879`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 994`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 994`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 976`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 976`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1197`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1197`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1314`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1314`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1111`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1111`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1304`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1304`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 946`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 946`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 910`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 910`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 898`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 898`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 981`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 981`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 630`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 630`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1398`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1398`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 461`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 461`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 429`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 429`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 405`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 405`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 759`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 759`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 918`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 918`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1255`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1255`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 758`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 758`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1092`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1092`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 889`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 889`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 957`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 957`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1381`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1381`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1103`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1103`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 670`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 670`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 752`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 752`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1126`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1126`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 456`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 456`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 867`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 867`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 616`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 616`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1053`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1053`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1282`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1282`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 796`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 796`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 993`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 993`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 561`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 561`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 551`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 551`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 881`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 881`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 471`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 471`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 493`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 493`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1276`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1276`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 766`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 766`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1216`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1216`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 838`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 838`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1394`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1394`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1388`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1388`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 920`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 920`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 921`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 921`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1331`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1331`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1438`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1438`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1103`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1103`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1113`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1113`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1415`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1415`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 698`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 698`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1201`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1201`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 480`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 480`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1021`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1021`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1011`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1011`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1455`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1455`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 797`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 797`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 929`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 929`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 523`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 523`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1447`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1447`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1323`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1323`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1347`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1347`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1097`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1097`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1474`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1474`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1227`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1227`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 455`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 455`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1378`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1378`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1484`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1484`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 868`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 868`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1317`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1317`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 499`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 499`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1096`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1096`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1137`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1137`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 821`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 821`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1190`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1190`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 433`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 433`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 783`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 783`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 766`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 766`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1015`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1015`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 407`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 407`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 592`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 592`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 848`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 848`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 451`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 451`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 558`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 558`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 673`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 673`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 611`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 611`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1367`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1367`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 777`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 777`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 440`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 440`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 936`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 936`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 759`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 759`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1436`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1436`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 737`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 737`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1249`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1249`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 893`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 893`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 427`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 427`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 891`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 891`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1365`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1365`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1070`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1070`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 639`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 639`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1227`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1227`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1487`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1487`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 885`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 885`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 859`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 859`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1245`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1245`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 563`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 563`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1270`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1270`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1196`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1196`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 679`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 679`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 460`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 460`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 563`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 563`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1398`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1398`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 880`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 880`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1392`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1392`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 421`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 421`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1028`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1028`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 458`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 458`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 633`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 633`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 890`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 890`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1288`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1288`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1105`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1105`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 648`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 648`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., 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 binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 716`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1320`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1320`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 994`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 994`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 758`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 758`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1366`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1366`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 728`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 728`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1257`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1257`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1317`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1317`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1200`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1200`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1224`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1224`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 908`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 908`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1133`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1133`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1169`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1024`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1024`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1267`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1267`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 893`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 893`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1328`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1328`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1409`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1409`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 819`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 819`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 629`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 629`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1151`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1151`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 431`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 431`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1061`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1061`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1206`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1206`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1405`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1405`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 477`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 477`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 556`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 556`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 583`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 583`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 438`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 438`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1093`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1093`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 576`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 576`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1005`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1005`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 950`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 950`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1351`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1351`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1050`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1050`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 968`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 968`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 622`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 622`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 590`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 590`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1073`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 516`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 516`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1137`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1137`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 584`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 584`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1440`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1440`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1167`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1167`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 581`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 581`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 618`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 618`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1028`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1028`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1323`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1323`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 432`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 432`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1098`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1098`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1201`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1201`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 797`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 797`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1314`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1314`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 447`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 447`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 483`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 483`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 875`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 875`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 947`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 947`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1066`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1066`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 697`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 697`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 699`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 699`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 588`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 588`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1417`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1417`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 530`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 530`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1063`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1063`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1302`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1302`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 460`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 460`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 536`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 536`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 829`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 829`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 684`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 684`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1121`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1121`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1317`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1317`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1224`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1224`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 676`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 676`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1392`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1392`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1407`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1407`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 748`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 748`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 508`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 508`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1395`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1395`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 627`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 627`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 671`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 671`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 545`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 545`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 892`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 892`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1329`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1329`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1024`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 484`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 484`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 860`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 860`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 454`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 454`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 783`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 783`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 787`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 787`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 786`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 786`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1132`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1132`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 568`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 568`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 823`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 823`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 636`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 636`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 830`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 830`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 497`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 497`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 700`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 700`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1394`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1394`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 984`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 984`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 773`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 773`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1213`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1213`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 434`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 434`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1229`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1229`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 645`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 645`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 946`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 946`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 779`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 779`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1432`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1432`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 826`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 826`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1475`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1475`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1412`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1412`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 726`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 726`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1039`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1039`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 640`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 640`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 926`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 926`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 657`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 657`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 536`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 536`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 987`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 987`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1049`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1049`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 897`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 897`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 606`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 606`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1064`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1064`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1080`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1080`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 853`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 853`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1358`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1358`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1284`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1284`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1038`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1038`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 779`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 779`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 479`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 479`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1056`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1056`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1363`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1363`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1277`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1277`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1086`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1086`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 980`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 980`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1212`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1212`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 678`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 678`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1371`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1371`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1176`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1176`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 504`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 504`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 716`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 716`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1077`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1077`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 746`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 746`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 807`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 807`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 519`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 519`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 863`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 863`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1425`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1425`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1033`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1033`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 672`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 672`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1419`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1419`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1240`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1240`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 949`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1434`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1434`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1185`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1185`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1219`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1219`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 817`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 817`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1426`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1426`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1220`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1220`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1292`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1292`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1002`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1002`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1256`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1256`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 545`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 545`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1193`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1193`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1306`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1306`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1419`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1419`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1325`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1325`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1357`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1357`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1013`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1013`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 605`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 605`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1046`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1046`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1147`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1147`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1265`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1265`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 649`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 649`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 887`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 887`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1101`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1101`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 630`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 630`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 526`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 526`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1017`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1017`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 530`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 530`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1159`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1159`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 708`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 708`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 550`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 550`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1450`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1450`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 836`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 836`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1442`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1442`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1342`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1342`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1374`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1374`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1179`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1179`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 777`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 777`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 479`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 479`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 813`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 813`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 546`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 546`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 639`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 639`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 646`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 646`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1092`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1092`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 647`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 647`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1255`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1255`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 590`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 590`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 853`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 853`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1326`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1326`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1227`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1227`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 531`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 420`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 420`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1252`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1252`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 685`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 685`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1154`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1154`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1382`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1382`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1237`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1237`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1425`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1425`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 770`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 770`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1407`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1407`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 486`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 486`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1396`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1396`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 402`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 402`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 510`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 510`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 643`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 643`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1398`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1398`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1399`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1399`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 921`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 921`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 996`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 996`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1035`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1035`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 802`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 802`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 798`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 798`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1267`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1267`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 589`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 589`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 477`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 477`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1363`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1363`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 891`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 891`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1255`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1255`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 864`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 864`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '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 binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 974`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1396`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1396`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1108`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1108`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1062`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1062`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 965`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 965`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 616`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 616`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 498`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 498`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 931`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 931`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 703`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 703`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1257`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1257`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 664`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 664`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1372`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1372`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 616`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 616`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1023`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1023`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1483`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1483`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 831`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 401`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 401`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 619`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 619`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1018`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1018`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 820`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 820`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1009`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1009`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 868`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 868`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1377`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1377`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 941`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 941`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 820`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 820`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1212`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1212`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1360`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1360`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1161`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1161`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 816`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 816`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 942`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 942`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1182`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1182`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1229`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1229`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 928`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 928`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 515`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 515`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 564`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 564`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 411`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 411`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 466`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 466`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1468`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 637`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 637`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1405`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1405`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1275`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1275`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 460`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 460`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1301`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 757`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 757`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 425`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 425`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 931`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 931`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 462`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 462`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 439`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1154`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1154`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1253`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1253`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 487`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 487`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 986`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 986`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1480`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1480`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 728`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 728`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 884`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 884`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 797`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 797`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1461`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1461`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 701`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 701`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 729`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 729`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1198`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1198`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1341`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1341`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 476`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 476`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1185`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1185`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1181`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1181`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1442`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1442`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 835`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 835`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 738`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 738`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1081`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1081`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1145`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1145`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 707`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 707`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1249`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1249`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1070`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1070`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 577`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 577`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 759`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 759`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1384`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1384`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1200`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1200`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 433`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 433`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 552`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 552`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1193`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1193`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 978`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 978`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 491`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 491`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 408`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 408`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 914`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 914`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1222`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1222`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 576`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 576`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 829`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 829`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 619`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 619`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 558`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 558`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1330`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1330`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1259`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1259`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 938`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 938`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 925`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 925`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1299`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1299`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1033`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1033`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1256`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1256`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 896`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 673`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 673`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1275`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1275`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1117`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1117`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 486`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 486`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 598`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 598`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1165`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1165`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1203`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1203`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1005`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1005`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1057`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1057`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 930`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 930`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1333`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 599`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 599`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 455`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 455`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1189`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1189`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 682`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 682`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 752`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 752`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1189`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1189`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 971`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 971`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1026`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1026`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 789`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 789`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 823`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 823`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 412`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 412`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 766`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 766`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 425`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 425`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 495`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 495`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 536`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 536`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 950`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 950`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 853`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 853`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1220`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1220`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1288`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1288`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 433`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 433`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 524`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 524`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 475`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 475`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 537`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 537`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 419`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 419`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 488`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 488`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1406`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1406`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 988`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 988`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1220`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1220`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1447`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1447`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 827`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 827`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1477`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1477`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1440`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1440`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 815`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 815`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1287`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1287`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1060`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1060`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1068`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1068`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 612`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 612`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 752`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 752`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 946`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 946`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 930`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 930`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 498`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 498`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1325`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1325`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 420`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 420`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 528`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 528`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1390`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1390`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1499`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1499`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 863`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 863`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1094`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1094`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 978`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 978`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1403`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1403`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 786`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 786`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1037`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1037`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1303`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1303`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 837`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 837`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1025`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1025`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1470`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1470`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 614`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 614`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1005`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1005`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1374`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1374`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1277`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1277`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1165`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1165`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1047`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1047`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 551`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 551`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 418`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 418`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1408`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1408`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1417`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1417`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 660`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 660`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 723`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 723`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 935`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 935`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 725`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 725`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 777`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 777`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1175`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1175`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 558`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 558`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 644`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 644`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1018`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1018`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 958`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 958`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1301`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1301`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 604`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 604`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1045`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1045`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1379`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1379`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1065`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1065`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1428`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1428`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1404`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1404`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1344`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1344`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 534`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 534`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 699`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 699`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1222`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1222`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 650`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 650`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 975`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 975`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 899`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 899`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1033`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1033`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1336`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1336`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1062`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1062`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 545`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 545`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1014`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1014`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1334`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1334`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 861`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1117`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1117`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 457`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 457`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1379`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1379`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1167`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1167`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 991`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 991`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1022`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1022`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1170`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1170`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 594`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 594`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1096`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1096`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 949`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 949`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1146`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1146`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 976`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 976`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1271`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1271`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1371`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1371`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1295`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1295`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1287`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1287`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1170`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1170`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 458`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 458`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1475`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1475`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 625`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 625`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1352`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1352`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1009`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1009`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 791`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 791`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1210`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1210`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 791`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 791`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1286`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1286`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1421`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1421`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1489`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1036`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1036`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1492`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1492`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1232`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1232`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1299`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1299`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1323`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1323`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1339`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1339`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 938`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 938`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 451`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 451`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1202`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1202`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1496`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1496`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1187`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1187`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 779`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 779`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1401`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1401`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 799`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 799`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1449`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1449`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1436`, `min_n = 24`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1436`, `min_n = 24`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1350`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1350`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 758`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 758`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1499`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1499`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1289`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1289`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 740`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 740`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 701`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 701`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 935`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 935`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1361`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1361`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1171`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1171`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1037`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1037`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 658`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 658`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1025`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1025`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 700`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 700`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 741`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 741`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1436`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1436`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1335`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1335`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 480`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 480`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 754`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 754`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 595`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 595`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 798`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 798`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1373`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1373`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 766`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 766`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1274`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1274`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 697`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 697`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 693`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 693`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 461`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 461`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 541`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 541`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 969`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 969`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 551`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 551`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 913`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 913`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1079`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1079`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 576`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 576`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 688`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 688`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1309`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1309`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1310`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1310`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 902`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 902`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1462`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1462`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1156`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1156`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 677`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 677`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1041`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1041`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 824`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 824`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 501`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 501`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1014`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1014`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1353`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1353`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 670`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 670`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 507`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 507`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1239`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1239`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1259`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1259`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 443`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 443`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1287`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1287`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 479`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 479`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1499`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1499`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 502`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 502`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1116`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1116`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 730`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 730`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1407`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1407`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1098`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1098`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1446`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1446`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 493`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 493`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 719`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 719`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 843`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 843`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 708`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 708`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 564`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 564`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 704`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 704`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 669`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1402`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1402`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 497`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 497`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 562`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 562`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 702`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 702`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 447`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 447`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 878`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 878`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1019`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1019`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 933`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 933`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1292`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 511`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 511`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 635`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 635`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 728`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 728`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1497`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1497`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 596`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 596`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 987`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 405`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 405`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1438`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1438`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 770`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 770`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1412`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1412`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1493`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 628`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 628`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1197`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1197`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1016`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1016`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 881`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 881`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1030`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1030`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 981`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 981`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 985`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 985`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1300`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1300`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 889`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 889`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 421`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 421`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1276`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1276`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1197`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1197`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1113`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1113`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 599`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 599`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 794`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 794`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 620`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 620`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 905`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 905`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1051`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1051`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1119`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1119`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 801`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 801`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1413`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1413`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 462`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 462`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1229`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1229`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1344`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 713`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 713`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1409`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1409`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 743`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 743`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1277`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1277`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 926`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 926`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 435`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 435`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 748`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 748`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 782`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 782`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1284`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1284`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 817`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 817`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1379`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1379`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '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 binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 916`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 562`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 562`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1089`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1089`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 695`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 695`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1006`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1006`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 546`, `min_n = 5`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 546`, `min_n = 5`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1334`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1334`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1170`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1170`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 806`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 806`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 757`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 757`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1085`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1085`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1316`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1316`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 701`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 701`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 522`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 522`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1361`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1361`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1365`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1365`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 751`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 751`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1432`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1432`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 576`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 576`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 420`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 420`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1455`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 833`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 833`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1312`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1312`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 813`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 813`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 962`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 962`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 987`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 987`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1144`, `min_n = 38`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1144`, `min_n = 38`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 430`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1077`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1077`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1286`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1286`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 891`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 891`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 426`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 426`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 668`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 668`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 412`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 412`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 776`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 776`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 652`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 652`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1401`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1401`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 782`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 782`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1250`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1250`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 765`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 765`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 614`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 614`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1459`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1459`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1346`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1346`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1281`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1281`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 658`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 658`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 635`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 635`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1411`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 893`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 893`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 848`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 848`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1456`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1456`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 662`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 662`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1269`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1269`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1316`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1316`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 704`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 704`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 813`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 813`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 608`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 608`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1141`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1141`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1214`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1214`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1013`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1013`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1131`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1131`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 850`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 850`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 892`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 892`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 501`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1257`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1257`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 589`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 589`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1316`, `min_n = 6`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1316`, `min_n = 6`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 400`, `min_n = 35`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 400`, `min_n = 35`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 895`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 895`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 846`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 846`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1405`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1405`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 468`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 468`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1246`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1246`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1194`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1194`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1272`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1272`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 836`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 836`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1213`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1213`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 601`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 601`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 541`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 541`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1283`, `min_n = 2`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1283`, `min_n = 2`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1117`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1117`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1385`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1385`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1222`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1222`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1047`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1047`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 671`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 671`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 479`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 479`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1334`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1334`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1220`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1220`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 967`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 967`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1428`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1428`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 788`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 788`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1321`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1321`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 826`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 826`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1323`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1323`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 796`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 445`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 445`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 669`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 669`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1330`, `min_n = 11`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1330`, `min_n = 11`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1350`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1350`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 701`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 701`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1056`, `min_n = 22`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1056`, `min_n = 22`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 3`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 3`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1115`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1115`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1372`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1372`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., 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 binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 436`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1469`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1251`, `min_n = 40`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1251`, `min_n = 40`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1342`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1342`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1231`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 851`, `min_n = 29`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 851`, `min_n = 29`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 484`, `min_n = 16`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 484`, `min_n = 16`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1418`, `min_n = 8`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1418`, `min_n = 8`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 754`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1082`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1082`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 852`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 852`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1312`, `min_n = 15`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1312`, `min_n = 15`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 582`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 953`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 953`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1010`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1010`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 937`, `min_n = 19`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 937`, `min_n = 19`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 584`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 584`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1167`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1167`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1047`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1047`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1043`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1043`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1402`, `min_n = 21`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1402`, `min_n = 21`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1272`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1272`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1354`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1354`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1370`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1370`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 819`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 819`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 819`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 819`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1121`, `min_n = 31`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1121`, `min_n = 31`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 520`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 520`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1485`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1485`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 579`, `min_n = 23`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 579`, `min_n = 23`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1007`, `min_n = 4`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1007`, `min_n = 4`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1119`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1119`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1331`, `min_n = 36`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1331`, `min_n = 36`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1352`, `min_n = 25`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1352`, `min_n = 25`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 447`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 447`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1044`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1044`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 651`, `min_n = 20`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 651`, `min_n = 20`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 871`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 871`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 429`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 790`, `min_n = 37`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 790`, `min_n = 37`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 465`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 465`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 946`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 946`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 650`, `min_n = 18`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 650`, `min_n = 18`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1254`, `min_n = 14`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1254`, `min_n = 14`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 414`, `min_n = 26`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 414`, `min_n = 26`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1396`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1396`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 568`, `min_n = 34`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 568`, `min_n = 34`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 820`, `min_n = 9`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 820`, `min_n = 9`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 605`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 605`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1092`, `min_n = 28`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1092`, `min_n = 28`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 925`, `min_n = 30`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 925`, `min_n = 30`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1288`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1288`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 630`, `min_n = 33`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 630`, `min_n = 33`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1221`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1221`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 617`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 617`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1096`, `min_n = 7`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1096`, `min_n = 7`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 1284`, `min_n = 17`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 1284`, `min_n = 17`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1364`, `min_n = 32`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1364`, `min_n = 32`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 577`, `min_n = 39`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 577`, `min_n = 39`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 513`, `min_n = 13`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 513`, `min_n = 13`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1179`, `min_n = 10`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1179`, `min_n = 10`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 2`, `trees = 1080`, `min_n = 27`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 2`, `trees = 1080`, `min_n = 27`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(...)`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 12`.
Caused by warning:
! While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`). 
Specificity is undefined in this case, and `NA` will be returned.
Note that 0 predicted negatives(s) actually occured for the problematic event level, '1'., There was 1 warning in `dplyr::summarise()`.
ℹ In argument: `.estimate = metric_fn(truth = klasa, estimate = .pred_1, na_rm
  = na_rm, event_level = "first")`.
ℹ In group 1: `mtry = 3`, `trees = 446`, `min_n = 12`.
Caused by warning:
! No control observations were detected in `truth` with control level '0'.