PerformanceVector:
accuracy: 80.00% +/- 18.71% (mikro: 80.00%)
ConfusionMatrix:
True:	bad	good
bad:	10	4
good:	4	22
precision: 88.33% +/- 14.53% (mikro: 84.62%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	10	4
good:	4	22
recall: 86.67% +/- 26.67% (mikro: 84.62%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	10	4
good:	4	22
AUC (optimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: good)
AUC: 0.717 +/- 0.208 (mikro: 0.717) (positive class: good)
AUC (pessimistic): 0.633 +/- 0.400 (mikro: 0.633) (positive class: good)