Table 3.

Performance comparison of different classifiers.

Model	Accuracy	AUC	Negative Predictive	Positive Predictive	Sensitivity	Specificity
SVM	0.786	0.758	0.859	0.625	0.667	0.836
AE	0.708	0.677	0.794	0.500	0.500	0.794
LR-Lasso	0.553	0.675	0.885	0.382	0.866	0.424
Decision Tree	0.737	0.678	0.810	0.551	0.533	0.821
Random Forest	0.737	0.706	0.819	0.548	0.566	0.808
LDA	0.747	0.724	0.873	0.551	0.733	0.753