PerformanceVector:
accuracy: 91.60% +/- 3.44% (mikro: 91.60%)
ConfusionMatrix:
True:	negative	positive
negative:	232	36
positive:	6	226
precision: 97.40% +/- 2.12% (mikro: 97.41%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	232	36
positive:	6	226
recall: 86.30% +/- 5.36% (mikro: 86.26%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	232	36
positive:	6	226
AUC (optimistic): 0.978 +/- 0.017 (mikro: 0.978) (positive class: positive)
AUC: 0.955 +/- 0.030 (mikro: 0.955) (positive class: positive)
AUC (pessimistic): 0.935 +/- 0.042 (mikro: 0.935) (positive class: positive)