PerformanceVector:
accuracy: 76.60% +/- 6.26% (mikro: 76.60%)
ConfusionMatrix:
True:	negative	positive
negative:	180	59
positive:	58	203
precision: 78.10% +/- 7.52% (mikro: 77.78%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	180	59
positive:	58	203
recall: 77.48% +/- 6.98% (mikro: 77.48%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	180	59
positive:	58	203
AUC (optimistic): 0.895 +/- 0.046 (mikro: 0.895) (positive class: positive)
AUC: 0.830 +/- 0.067 (mikro: 0.830) (positive class: positive)
AUC (pessimistic): 0.798 +/- 0.071 (mikro: 0.798) (positive class: positive)