Table 3.

Machine learning model performance evaluation.

Model performance measurement	Logistic regression	Decision tree	Gradient boost	Random forest
Recall	0.851	0.949	0.952	0.908
Precision	0.896	0.989	0.988	0.984
Specificity	0.956	0.995	0.995	0.993
F measure	0.873	0.969	0.970	0.944
Balanced accuracy	0.903	0.972	0.973	0.951
Area under the receiver operating characteristic curve	1.000	0.988	1.000	0.988