PerformanceVector:
accuracy: 69.94%
ConfusionMatrix:
True:	positive	negative
positive:	478	140
negative:	148	192
precision: 56.47% (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	478	140
negative:	148	192
recall: 57.83% (positive class: negative)
ConfusionMatrix:
True:	positive	negative
positive:	478	140
negative:	148	192
AUC (optimistic): 0.851 (positive class: negative)
AUC: 0.688 (positive class: negative)
AUC (pessimistic): 0.526 (positive class: negative)