Table 4.

Performance of the classifiers during training.

Classifier	Sensitivity	Specificity	Accuracy	AUC-ROC
Fine Gaussian SVM	98.2%	88.4%	93.4%	0.9894
Fine KNN	88.9%	97.9%	93.3%	0.9343
Ensemble Bagged Model Trees (EBM)	91.6%	92.6%	91.8%	0.9772