Table 1. Test set (20% of the original data) performances of the machine learning algorithms.

SVM outperforms BLR on a number of performance measures, whereas BLR has slightly better specificity and positive predictive value results.

	SVM	BLR
Accuracy	0.94	0.89
Kappa	0.87	0.78
Area Under the ROC Curve	0.98	0.92
Sensitivity	0.92	0.80
Specificity	0.95	0.99
Positive Predictive Value	0.95	0.98
Negative Predictive Value	0.93	0.83
F1 Score	0.94	0.88
Matthews Correlation Coefficient	0.88	0.81