PerformanceVector:
accuracy: 86.40% +/- 4.45% (mikro: 86.40%)
ConfusionMatrix:
True:	0	1
0:	104	13
1:	21	112
precision: 84.47% +/- 5.51% (mikro: 84.21%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	104	13
1:	21	112
recall: 89.62% +/- 8.02% (mikro: 89.60%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	104	13
1:	21	112
AUC (optimistic): 0.933 +/- 0.032 (mikro: 0.933) (positive class: 1)
AUC: 0.933 +/- 0.032 (mikro: 0.933) (positive class: 1)
AUC (pessimistic): 0.933 +/- 0.032 (mikro: 0.933) (positive class: 1)