PerformanceVector:
accuracy: 52.40% +/- 0.80% (mikro: 52.40%)
ConfusionMatrix:
True:	negative	positive
negative:	0	0
positive:	238	262
precision: 52.40% +/- 0.80% (mikro: 52.40%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	0	0
positive:	238	262
recall: 100.00% +/- 0.00% (mikro: 100.00%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	0	0
positive:	238	262
AUC (optimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: positive)
AUC: 0.500 +/- 0.000 (mikro: 0.500) (positive class: positive)
AUC (pessimistic): 0.000 +/- 0.000 (mikro: 0.000) (positive class: positive)