PerformanceVector:
accuracy: 85.00% +/- 16.58% (mikro: 85.00%)
ConfusionMatrix:
True:	bad	good
bad:	11	3
good:	3	23
precision: 91.67% +/- 12.91% (mikro: 88.46%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	11	3
good:	3	23
recall: 90.00% +/- 21.34% (mikro: 88.46%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	11	3
good:	3	23
AUC (optimistic): 0.933 +/- 0.200 (mikro: 0.933) (positive class: good)
AUC: 0.775 +/- 0.211 (mikro: 0.775) (positive class: good)
AUC (pessimistic): 0.650 +/- 0.398 (mikro: 0.650) (positive class: good)