PerformanceVector:
accuracy: 82.60%
ConfusionMatrix:
True:	negative	positive
negative:	218	67
positive:	20	195
precision: 90.70% (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	218	67
positive:	20	195
recall: 74.43% (positive class: positive)
ConfusionMatrix:
True:	negative	positive
negative:	218	67
positive:	20	195
AUC (optimistic): 0.979 (positive class: positive)
AUC: 0.830 (positive class: positive)
AUC (pessimistic): 0.682 (positive class: positive)