Table 2. Result of testing for each machine learning model.

Model	AUC		Accuracy		Kappa		F1-measure
	Mean	S.D.	Mean	S.D.	Mean	S.D.	Mean	S.D.
Gradient Descent	0.861	0.059	0.742	0.028	0.464	0.044	0.480	0.049
Random Forest	0.910	0.080	0.767	0.079	0.508	0.156	0.479	0.064
XGBoost	0.857	0.057	0.808	0.058	0.594	0.123	0.494	0.062