Table 3.

Prediction accuracy and AUC of three models.

Model	Threshold	Specificity	Sensitivity	Accuracy	Precision	Recall	f1_score	AUC
Logistics regression	0.155	0.732	0.883	0.763	0.459	0.883	0.604	0.875 (0.837–0.914)
Decision tree model	0.179	0.956	0.883	0.941	0.838	0.883	0.860	0.949 (0.919–0.980)
Random forest model	0.318	0.997	0.989	0.996	0.989	0.989	0.989	0.999 (0.997–1)