PerformanceVector:
accuracy: 65.34% +/- 0.41% (mikro: 65.34%)
ConfusionMatrix:
True:	positive	negative
positive:	609	315
negative:	17	17
precision: 50.00% (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	609	315
negative:	17	17
recall: 5.15% +/- 15.45% (mikro: 5.12%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	609	315
negative:	17	17
AUC (optimistic): 0.980 +/- 0.061 (mikro: 0.980) (positive class: negative)
AUC: 0.512 +/- 0.037 (mikro: 0.512) (positive class: negative)
AUC (pessimistic): 0.045 +/- 0.136 (mikro: 0.045) (positive class: negative)