PerformanceVector:
accuracy: 84.80% +/- 5.31% (mikro: 84.80%)
ConfusionMatrix:
True:	0	1
0:	112	25
1:	13	100
precision: 89.03% +/- 6.99% (mikro: 88.50%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	112	25
1:	13	100
recall: 79.74% +/- 9.54% (mikro: 80.00%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	112	25
1:	13	100
AUC (optimistic): 0.967 +/- 0.028 (mikro: 0.967) (positive class: 1)
AUC: 0.851 +/- 0.060 (mikro: 0.851) (positive class: 1)
AUC (pessimistic): 0.761 +/- 0.076 (mikro: 0.761) (positive class: 1)