PerformanceVector:
accuracy: 88.40% +/- 4.08% (mikro: 88.40%)
ConfusionMatrix:
True:	negative	positive
negative:	209	29
positive:	29	233
precision: 89.31% +/- 5.90% (mikro: 88.93%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	209	29
positive:	29	233
recall: 88.89% +/- 5.60% (mikro: 88.93%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	209	29
positive:	29	233
AUC (optimistic): 0.987 +/- 0.009 (mikro: 0.987) (positive class: positive)
AUC: 0.500 +/- 0.000 (mikro: 0.500) (positive class: positive)
AUC (pessimistic): 0.780 +/- 0.074 (mikro: 0.780) (positive class: positive)