Table 5.

Performance of the classifiers during testing.

Classifier	Sensitivity	Specificity	Accuracy	AUC-ROC
Fine Gaussian SVM	99.6%	85%	95.2%	0.9228
Fine KNN	73.5%	98%	80.9%	0.8574
Ensemble Bagged Model Trees (EBM)	87.8%	97%	90.6%	0.9241