Table 2.

Performance of the LASSO, MARS, decision tree, random forest, and XGBoost methods.

Method	Avg_Accuracy	Avg_Recall	Avg_Precision	Avg_Specificity	Avg_F1
Testing Dataset
LASSO Regression	0.615	0.857	0.600	0.333	0.706
MARS	0.689	0.924	0.676	0.357	0.778
Decision Tree	0.516	0.592	0.547	0.429	0.569
Random Forest	0.655	0.794	0.675	0.458	0.729
XGBoost	0.615	0.857	0.600	0.333	0.706

Abbreviations: avg: average.