Table 2.

The recorded performance metric values for each developed model across all dataset partitions are presented.

Model	R 2			MSE			AARE%
	Training	Test	Total	Training	Test	Total	Training	Test	Total
Decision Tree	0.999819	0.9706057	0.997204	0.126441	18.164167	1.934354	0.009765	0.3180942	0.040669
AdaBoost	0.999936	0.9847832	0.99858	0.04469	9.4032279	0.982692	0.010112	0.2610402	0.035263
Random Forest	0.998354	0.9884347	0.997466	1.152669	7.1467405	1.753452	0.078133	0.1910725	0.089453
KNN	0.986438	0.9718468	0.985133	9.49446	17.39721	10.28655	0.215057	0.2797323	0.221539
Ensemble Learning	0.99859	0.987654	0.997612	0.986782	7.6291987	1.652548	0.068288	0.1946209	0.080951
CNN	0.993536	0.9905885	0.993273	4.525454	5.8158071	4.654789	0.128943	0.1495213	0.131005
SVR	0.998171	0.9975452	0.998115	1.28019	1.5169392	1.303919	0.072712	0.0792602	0.073368