PerformanceVector:
accuracy: 93.15% +/- 4.82% (mikro: 93.16%)
ConfusionMatrix:
True:	g	b
g:	218	17
b:	7	109
precision: 94.00% +/- 6.78% (mikro: 93.97%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	218	17
b:	7	109
recall: 86.60% +/- 7.65% (mikro: 86.51%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	218	17
b:	7	109
AUC (optimistic): 0.989 +/- 0.010 (mikro: 0.989) (positive class: b)
AUC: 0.801 +/- 0.201 (mikro: 0.801) (positive class: b)
AUC (pessimistic): 0.883 +/- 0.082 (mikro: 0.883) (positive class: b)