PerformanceVector:
accuracy: 80.37% +/- 2.86% (mikro: 80.38%)
ConfusionMatrix:
True:	positive	negative
positive:	581	143
negative:	45	189
precision: 81.90% +/- 8.39% (mikro: 80.77%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	581	143
negative:	45	189
recall: 56.93% +/- 6.26% (mikro: 56.93%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	581	143
negative:	45	189
AUC (optimistic): 0.842 +/- 0.034 (mikro: 0.842) (positive class: negative)
AUC: 0.796 +/- 0.037 (mikro: 0.796) (positive class: negative)
AUC (pessimistic): 0.749 +/- 0.041 (mikro: 0.749) (positive class: negative)