| Model,RMSE (Absolute Error),MAE (Mean Absolute Error),MAPE (Relative Error),R-squared | |
| Naive Persistence,1.1635,0.9121,3.2054,0.4497 | |
| Ridge Regression,0.8644,0.6824,2.3828,0.6963 | |
| Huber Regressor,0.8627,0.6799,2.3777,0.6975 | |
| Random Forest,0.8254,0.6551,2.2794,0.7231 | |
| XGBoost,0.8691,0.682,2.3613,0.693 | |
| LightGBM,0.8448,0.6622,2.2989,0.7099 | |
| CatBoost,0.8215,0.6478,2.2512,0.7257 | |
| Stacking (Huber+XGB+LGBM),0.8068,0.6317,2.212,0.7355 | |
| Stacking (Huber+LGBM+CatBoost),0.7951,0.6242,2.1842,0.743 | |
| Prophet,1.5334,1.2488,4.4454,0.0444 | |
| Simple LSTM,2.6483,1.997,6.9563,-1.8297 | |
| Random Forest (Optuna),0.8295,0.6594,2.2937,0.7204 | |
| XGBoost (Optuna),0.8563,0.6628,2.3156,0.702 | |
| LightGBM (Optuna),0.7972,0.6245,2.1822,0.7417 | |
| CatBoost (Optuna),0.8374,0.6486,2.2581,0.715 | |
| Stacking (Optuna),0.7889,0.6201,2.168,0.747 | |