Table 10.

Comparative performance gains across models.

Baseline Model	MAE (Baseline)	MAE (Proposed Stacked Regressor)	MAE Reduction (%)	MSE (Baseline)	MSE (Proposed Stacked Regressor)	MSE Reduction (%)	R2 (Baseline)	R2 (Proposed Stacked Regressor)	R2 Gain
Gradient Boosting	0.048	0.042	12.50	0.0037	0.0031	16.20	0.91	0.94	0.03
XGBoost	0.045	0.042	6.70	0.0033	0.0031	6.10	0.92	0.94	0.02
LightGBM	0.047	0.042	10.60	0.0034	0.0031	8.80	0.92	0.94	0.02
CatBoost	0.044	0.042	4.50	0.0032	0.0031	3.10	0.93	0.94	0.01
Neural Network	0.05	0.042	16.00	0.0036	0.0031	13.90	0.9	0.94	0.04
LSTM	0.049	0.042	14.30	0.0035	0.0031	11.40	0.91	0.94	0.03