PerformanceVector:
accuracy: 90.60% +/- 3.38% (mikro: 90.60%)
ConfusionMatrix:
True:	g	b
g:	225	33
b:	0	93
precision: 100.00% +/- 0.00% (mikro: 100.00%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	225	33
b:	0	93
recall: 73.85% +/- 9.43% (mikro: 73.81%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	225	33
b:	0	93
AUC (optimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: b)
AUC: 0.500 +/- 0.000 (mikro: 0.500) (positive class: b)
AUC (pessimistic): 0.738 +/- 0.094 (mikro: 0.738) (positive class: b)