PerformanceVector:
accuracy: 90.20% +/- 2.60% (mikro: 90.20%)
ConfusionMatrix:
True:	negative	positive
negative:	216	27
positive:	22	235
precision: 91.62% +/- 3.73% (mikro: 91.44%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	216	27
positive:	22	235
recall: 89.70% +/- 4.21% (mikro: 89.69%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	216	27
positive:	22	235
AUC (optimistic): 0.981 +/- 0.015 (mikro: 0.981) (positive class: positive)
AUC: 0.971 +/- 0.018 (mikro: 0.971) (positive class: positive)
AUC (pessimistic): 0.962 +/- 0.021 (mikro: 0.962) (positive class: positive)