PerformanceVector:
accuracy: 82.50% +/- 19.53% (mikro: 82.50%)
ConfusionMatrix:
True:	bad	good
bad:	9	2
good:	5	24
precision: 86.67% +/- 17.56% (mikro: 82.76%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	9	2
good:	5	24
recall: 91.67% +/- 17.08% (mikro: 92.31%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	9	2
good:	5	24
AUC (optimistic): 0.967 +/- 0.100 (mikro: 0.967) (positive class: good)
AUC: 0.650 +/- 0.229 (mikro: 0.650) (positive class: good)
AUC (pessimistic): 0.850 +/- 0.320 (mikro: 0.850) (positive class: good)