PerformanceVector:
accuracy: 95.00% +/- 10.00% (mikro: 95.00%)
ConfusionMatrix:
True:	bad	good
bad:	12	0
good:	2	26
precision: 94.17% +/- 11.81% (mikro: 92.86%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	12	0
good:	2	26
recall: 100.00% +/- 0.00% (mikro: 100.00%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	12	0
good:	2	26
AUC (optimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: good)
AUC: 1.000 +/- 0.000 (mikro: 1.000) (positive class: good)
AUC (pessimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: good)