Table 5.

The AUROC^a, accuracy, sensitivity, and specificity of the 6 classification models.

Model	AUROC	Accuracy	Sensitivity	Specificity
RFb	0.91	0.84	0.63	0.92
LightGBMc	0.86	0.81	0.63	0.89
XGBoostd	0.83	0.78	0.55	0.89
KNNe	0.77	0.76	0.60	0.84
SVMf	0.88	0.81	0.47	0.95
LRg	0.81	0.77	0.52	0.85

^aAUROC: area under the receiver operating characteristic curve.

^bRF: random forest.

^cLightGBM: light gradient boosting machine.

^dXGBoost: extreme gradient boosting.

^eKNN: k-nearest neighbor.

^fSVM: support vertical machine.

^gLR: logistic regression.