TABLE 4.

Accuracy metrics for machine learning models

	True positive rate	False positive rate	Precision	Recall	F measure	ROC	Accuracy
Logistic regression	0.786	0.216	0.788	0.786	0.786	0.775	0.786
Decision tree	0.81	0.254	0.857	0.81	0.796	0.852	0.810
Random forest	0.929	0.081	0.929	0.929	0.928	0.993	0.929
Support vector machine	0.762	0.262	0.761	0.762	0.76	0.75	0.762

Abbreviation: ROC, receiver operating characteristic.