Table 4.

Comparison of the proposed framework regression prediction models based on evaluation metrics (The best results are represented in bold).

Model		Evaluation Metric
		MSE	RMSE		MAE	R2
Linear Regression	Ridge Regression	0.00023083	0.01519314		0.01023939	−0.15965093
	Simple Linear Regularization	0.00023091	0.01519604		0.01024034	−0.16009405
	Elastic Net Regression	0.00018113	0.01345867		0.00873109	0.09001016
AdaBoost		0.00020749	0.01440446	0.00761746		−0.04237952