Table 21.

Evaluation metrics obtained for all selected algorithms.

Algorithm	Data subset	MSE	RMSE	MAE	R2
RFR	1	0.0002	0.0148	0.0066	0.9995
	2	0.0002	0.0143	0.0064	0.9995
	3	0.0002	0.0148	0.0066	0.9995
SVR	1	0.0001	0.0104	0.0074	0.9997
	2	0.0001	0.0087	0.0065	0.9998
	3	0.0001	0.0104	0.0074	0.9997
XGBoost	1	0.0001	0.0113	0.0054	0.9997
	2	0.0001	0.0114	0.0056	0.9997
	3	0.0001	0.0113	0.0055	0.9997
LSTM	1	0.0001	0.0104	0.0068	0.9998
	2	0.0001	0.0136	0.0083	0.9997
	3	0.0001	0.0103	0.0068	0.9998
MLP	1	0.0002	0.0125	0.0086	0.9996
	2	0.0002	0.0134	0.0111	0.9996
	3	0.0001	0.0112	0.0078	0.9997