PerformanceVector:
accuracy: 89.48% +/- 4.18% (mikro: 89.46%)
ConfusionMatrix:
True:	g	b
g:	211	23
b:	14	103
precision: 88.49% +/- 7.09% (mikro: 88.03%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	211	23
b:	14	103
recall: 81.92% +/- 8.94% (mikro: 81.75%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	211	23
b:	14	103
AUC (optimistic): 0.943 +/- 0.033 (mikro: 0.943) (positive class: b)
AUC: 0.943 +/- 0.033 (mikro: 0.943) (positive class: b)
AUC (pessimistic): 0.943 +/- 0.033 (mikro: 0.943) (positive class: b)