PerformanceVector:
accuracy: 93.60% +/- 3.32% (mikro: 93.60%)
ConfusionMatrix:
True:	negative	positive
negative:	220	14
positive:	18	248
precision: 93.40% +/- 4.19% (mikro: 93.23%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	220	14
positive:	18	248
recall: 94.70% +/- 4.50% (mikro: 94.66%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	220	14
positive:	18	248
AUC (optimistic): 0.989 +/- 0.010 (mikro: 0.989) (positive class: positive)
AUC: 0.989 +/- 0.010 (mikro: 0.989) (positive class: positive)
AUC (pessimistic): 0.989 +/- 0.010 (mikro: 0.989) (positive class: positive)