PerformanceVector:
accuracy: 83.60% +/- 5.20% (mikro: 83.60%)
ConfusionMatrix:
True:	0	1
0:	107	23
1:	18	102
precision: 85.11% +/- 5.57% (mikro: 85.00%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	107	23
1:	18	102
recall: 81.41% +/- 9.07% (mikro: 81.60%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	107	23
1:	18	102
AUC (optimistic): 0.935 +/- 0.022 (mikro: 0.935) (positive class: 1)
AUC: 0.905 +/- 0.039 (mikro: 0.905) (positive class: 1)
AUC (pessimistic): 0.883 +/- 0.046 (mikro: 0.883) (positive class: 1)