PerformanceVector:
accuracy: 70.56% +/- 5.03% (mikro: 70.56%)
ConfusionMatrix:
True:	positive	negative
positive:	539	195
negative:	87	137
precision: 60.97% +/- 11.12% (mikro: 61.16%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	539	195
negative:	87	137
recall: 41.23% +/- 9.57% (mikro: 41.27%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	539	195
negative:	87	137
AUC (optimistic): 0.744 +/- 0.064 (mikro: 0.744) (positive class: negative)
AUC: 0.744 +/- 0.064 (mikro: 0.744) (positive class: negative)
AUC (pessimistic): 0.744 +/- 0.064 (mikro: 0.744) (positive class: negative)