PerformanceVector:
accuracy: 84.80% +/- 4.31% (mikro: 84.80%)
ConfusionMatrix:
True:	0	1
0:	106	19
1:	19	106
precision: 85.08% +/- 5.56% (mikro: 84.80%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	106	19
1:	19	106
recall: 84.62% +/- 6.97% (mikro: 84.80%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	106	19
1:	19	106
AUC (optimistic): 0.978 +/- 0.014 (mikro: 0.978) (positive class: 1)
AUC: 0.847 +/- 0.043 (mikro: 0.847) (positive class: 1)
AUC (pessimistic): 0.716 +/- 0.073 (mikro: 0.716) (positive class: 1)