PerformanceVector:
accuracy: 82.50% +/- 16.01% (mikro: 82.50%)
ConfusionMatrix:
True:	bad	good
bad:	10	3
good:	4	23
precision: 88.33% +/- 14.53% (mikro: 85.19%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	10	3
good:	4	23
recall: 90.00% +/- 21.34% (mikro: 88.46%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	10	3
good:	4	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): 0.600 +/- 0.382 (mikro: 0.600) (positive class: good)