PerformanceVector:
accuracy: 99.40% +/- 0.92% (mikro: 99.40%)
ConfusionMatrix:
True:	negative	positive
negative:	237	2
positive:	1	260
precision: 99.63% +/- 1.11% (mikro: 99.62%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	237	2
positive:	1	260
recall: 99.23% +/- 1.54% (mikro: 99.24%) (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	237	2
positive:	1	260
AUC (optimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: positive)
AUC: 1.000 +/- 0.000 (mikro: 1.000) (positive class: positive)
AUC (pessimistic): 1.000 +/- 0.000 (mikro: 1.000) (positive class: positive)