Table 15.

Classification methods comparison.

Method	Precision	Accuracy	f1-score	AUC
Our model	0.578	0.732	0.474	0.77
Decision jungle	0.581	0.734	0.453	0.769
Logistic regression	0.589	0.737	0.465	0.764
Support vector machine	0.59	0.737	0.464	0.759
Boosted decision tree	0.564	0.729	0.462	0.765
Bayes point machine	0.583	0.735	0.456	0.763
Synthetic minority oversampling	0.73	0.73	0.77	0.8