Table 2.

Performance metrics of different machine learning models.

Model	AUC	Sensitivity	Specificity	F1 score	Accuracy	MCC
Gradient Boosting Machine	0.91	0.70	0.95	0.82	0.96	0.81
Deep Learning	0.86	0.66	0.94	0.72	0.93	0.68
Logistic Regression	0.85	0.52	0.94	0.65	0.92	0.64
Distributed Random Forest	0.92	0.71	0.95	0.81	0.95	0.80

Abbreviations: AUC, area under the curve of ROC plot; MCC, Matthew's correlation coefficient.