PerformanceVector:
accuracy: 88.40% +/- 5.20% (mikro: 88.40%)
ConfusionMatrix:
True:	negative	positive
negative:	207	27
positive:	31	235
precision: 88.59% +/- 5.73% (mikro: 88.35%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	207	27
positive:	31	235
recall: 89.70% +/- 6.64% (mikro: 89.69%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	207	27
positive:	31	235
AUC (optimistic): 0.950 +/- 0.036 (mikro: 0.950) (positive class: positive)
AUC: 0.877 +/- 0.055 (mikro: 0.877) (positive class: positive)
AUC (pessimistic): 0.823 +/- 0.084 (mikro: 0.823) (positive class: positive)