PerformanceVector:
accuracy: 82.26% +/- 2.59% (mikro: 82.25%)
ConfusionMatrix:
True:	positive	negative
positive:	626	170
negative:	0	162
precision: 100.00% +/- 0.00% (mikro: 100.00%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	626	170
negative:	0	162
recall: 48.76% +/- 7.65% (mikro: 48.80%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	626	170
negative:	0	162
AUC (optimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: negative)
AUC: 0.500 +/- 0.000 (mikro: 0.500) (positive class: negative)
AUC (pessimistic): 0.488 +/- 0.076 (mikro: 0.488) (positive class: negative)