PerformanceVector:
accuracy: 72.50% +/- 20.77% (mikro: 72.50%)
ConfusionMatrix:
True:	bad	good
bad:	6	3
good:	8	23
precision: 76.67% +/- 17.80% (mikro: 74.19%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	6	3
good:	8	23
recall: 88.33% +/- 23.63% (mikro: 88.46%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	6	3
good:	8	23
AUC (optimistic): 0.933 +/- 0.200 (mikro: 0.933) (positive class: good)
AUC: 0.642 +/- 0.269 (mikro: 0.642) (positive class: good)
AUC (pessimistic): 0.483 +/- 0.369 (mikro: 0.483) (positive class: good)