PerformanceVector:
accuracy: 81.20% +/- 7.39% (mikro: 81.20%)
ConfusionMatrix:
True:	0	1
0:	92	14
1:	33	111
precision: 77.47% +/- 8.14% (mikro: 77.08%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	92	14
1:	33	111
recall: 88.65% +/- 7.65% (mikro: 88.80%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	92	14
1:	33	111
AUC (optimistic): 0.968 +/- 0.028 (mikro: 0.968) (positive class: 1)
AUC: 0.811 +/- 0.073 (mikro: 0.811) (positive class: 1)
AUC (pessimistic): 0.654 +/- 0.122 (mikro: 0.654) (positive class: 1)