PerformanceVector:
accuracy: 65.03% +/- 0.93% (mikro: 65.03%)
ConfusionMatrix:
True:	positive	negative
positive:	618	327
negative:	8	5
precision: 38.46% (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	618	327
negative:	8	5
recall: 1.52% +/- 4.55% (mikro: 1.51%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	618	327
negative:	8	5
AUC (optimistic): 0.698 +/- 0.198 (mikro: 0.698) (positive class: negative)
AUC: 0.447 +/- 0.143 (mikro: 0.447) (positive class: negative)
AUC (pessimistic): 0.195 +/- 0.184 (mikro: 0.195) (positive class: negative)