Table 8.

Precision, recall and F1-score of each classification model (%).

	RF	XGBT	GBM	NN	GLM
Precision	0.998	0.996	0.967	0.995	0.942
Recall	0.971	0.969	0.991	0.941	0.948
F1-score	0.985	0.982	0.979	0.967	0.969

XGBT extreme gradient boosting tree model, GBM gradient boosting model, NN neural network model, GLM generalized linear model.