PerformanceVector:
accuracy: 97.50% +/- 7.50% (mikro: 97.50%)
ConfusionMatrix:
True:	bad	good
bad:	13	0
good:	1	26
precision: 97.50% +/- 7.50% (mikro: 96.30%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	13	0
good:	1	26
recall: 100.00% +/- 0.00% (mikro: 100.00%) (positive class: good)
ConfusionMatrix:
True:	bad	good
bad:	13	0
good:	1	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)