PerformanceVector:
accuracy: 84.40% +/- 5.78% (mikro: 84.40%)
ConfusionMatrix:
True:	0	1
0:	103	17
1:	22	108
precision: 83.26% +/- 6.14% (mikro: 83.08%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	103	17
1:	22	108
recall: 86.35% +/- 10.17% (mikro: 86.40%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	103	17
1:	22	108
AUC (optimistic): 0.931 +/- 0.033 (mikro: 0.931) (positive class: 1)
AUC: 0.931 +/- 0.033 (mikro: 0.931) (positive class: 1)
AUC (pessimistic): 0.931 +/- 0.033 (mikro: 0.931) (positive class: 1)