data/results_df_all_tuned.csv

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