PerformanceVector:
accuracy: 79.60% +/- 5.12% (mikro: 79.60%)
ConfusionMatrix:
True:	negative	positive
negative:	171	35
positive:	67	227
precision: 78.03% +/- 6.71% (mikro: 77.21%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	171	35
positive:	67	227
recall: 86.68% +/- 10.66% (mikro: 86.64%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	171	35
positive:	67	227
AUC (optimistic): 0.952 +/- 0.025 (mikro: 0.952) (positive class: positive)
AUC: 0.846 +/- 0.035 (mikro: 0.846) (positive class: positive)
AUC (pessimistic): 0.739 +/- 0.065 (mikro: 0.739) (positive class: positive)