PerformanceVector:
accuracy: 90.20% +/- 3.94% (mikro: 90.20%)
ConfusionMatrix:
True:	negative	positive
negative:	217	28
positive:	21	234
precision: 92.22% +/- 6.02% (mikro: 91.76%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	217	28
positive:	21	234
recall: 89.36% +/- 6.02% (mikro: 89.31%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	217	28
positive:	21	234
AUC (optimistic): 0.972 +/- 0.017 (mikro: 0.972) (positive class: positive)
AUC: 0.972 +/- 0.017 (mikro: 0.972) (positive class: positive)
AUC (pessimistic): 0.972 +/- 0.017 (mikro: 0.972) (positive class: positive)