PerformanceVector:
accuracy: 88.80% +/- 4.21% (mikro: 88.80%)
ConfusionMatrix:
True:	negative	positive
negative:	210	28
positive:	28	234
precision: 89.77% +/- 6.35% (mikro: 89.31%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	210	28
positive:	28	234
recall: 89.27% +/- 5.94% (mikro: 89.31%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	210	28
positive:	28	234
AUC (optimistic): 0.988 +/- 0.009 (mikro: 0.988) (positive class: positive)
AUC: 0.500 +/- 0.000 (mikro: 0.500) (positive class: positive)
AUC (pessimistic): 0.787 +/- 0.077 (mikro: 0.787) (positive class: positive)