PerformanceVector:
accuracy: 81.40% +/- 5.06% (mikro: 81.40%)
ConfusionMatrix:
True:	negative	positive
negative:	215	70
positive:	23	192
precision: 91.21% +/- 9.45% (mikro: 89.30%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	215	70
positive:	23	192
recall: 73.26% +/- 10.30% (mikro: 73.28%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	215	70
positive:	23	192
AUC (optimistic): 0.948 +/- 0.019 (mikro: 0.948) (positive class: positive)
AUC: 0.885 +/- 0.028 (mikro: 0.885) (positive class: positive)
AUC (pessimistic): 0.822 +/- 0.059 (mikro: 0.822) (positive class: positive)