Table 6.

Machine learning algorithms	R2 score	MSE
Generalized linear models
Ordinary least squares	63.71	0.985
Ridge Regression	63.83	0.982
Lasso Regression	64.32	0.968
Ensemble methods
Random forest	63.58	0.988
Gradient boosting	65.42	0.938
ADA boosting	64.86	0.954
Extra trees	63.38	0.994

Note: R² score: Higher is better. MSE (mean square error): Lower is better. Bold data is the fittest model in each models.

Abbreviation: ADA, adaptive.