PerformanceVector:
accuracy: 90.32% +/- 4.45% (mikro: 90.31%)
ConfusionMatrix:
True:	g	b
g:	216	25
b:	9	101
precision: 92.11% +/- 6.90% (mikro: 91.82%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	216	25
b:	9	101
recall: 80.38% +/- 9.01% (mikro: 80.16%) (positive class: b)
ConfusionMatrix:
True:	g	b
g:	216	25
b:	9	101
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)