Table 2.

Performance of the forecasting models

S. no	Model	MSE	MAE	R2
1	Random forest	6.92e-05	0.0028	0.9351
2	XGBoost	4.82e-05	0.0024	0.9547
3	Gradient boosting	9.42e-05	0.0032	0.9116
4	AdaBoost	7.38e-05	0.0027	0.9308
5	Artificial neural network	6.45e-04	0.0129	0.3958
6	RF-XGBoost-LR (hybrid)	4.79e-05	0.0024	0.9551

The bold values shows the performance of the proposed model