PerformanceVector:
accuracy: 92.60% +/- 2.84% (mikro: 92.60%)
ConfusionMatrix:
True:	negative	positive
negative:	205	4
positive:	33	258
precision: 88.78% +/- 3.29% (mikro: 88.66%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	205	4
positive:	33	258
recall: 98.52% +/- 3.39% (mikro: 98.47%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	205	4
positive:	33	258
AUC (optimistic): 0.993 +/- 0.006 (mikro: 0.993) (positive class: positive)
AUC: 0.991 +/- 0.006 (mikro: 0.991) (positive class: positive)
AUC (pessimistic): 0.990 +/- 0.007 (mikro: 0.990) (positive class: positive)