Table 2. Performance metrics of six machine learning algorithms in the training and test set

Model	Performance metrics of six machine learning algorithms in the training set
	AUC	Accuracy	F1	Precision	Recall
Decisoin tree	0.691	0.693	0.695	0.698	0.693
Gradient boosting	0.676	0.657	0.659	0.662	0.657
Logistic regression	0.590	0.633	0.559	0.598	0.633
Neural network	0.711	0.699	0.682	0.690	0.699
Random forest	0.835	0.774	0.767	0.771	0.774
Support vector machine	0.582	0.593	0.589	0.586	0.593