PerformanceVector:
accuracy: 65.34% +/- 0.41% (mikro: 65.34%)
ConfusionMatrix:
True:	positive	negative
positive:	626	332
negative:	0	0
precision: unknown (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	626	332
negative:	0	0
recall: 0.00% +/- 0.00% (mikro: 0.00%) (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	626	332
negative:	0	0
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): 0.000 +/- 0.000 (mikro: 0.000) (positive class: negative)