Table 4.
Model | R2 | MAE | RMSE |
---|---|---|---|
XGBoost | 0.92 | 0.2 | 0.4 |
LightGBM | 0.93 | 0.1 | 0.4 |
CatBoost | 0.89 | 0.2 | 0.5 |
Bagging ensemble | 0.92 | 0.2 | 0.4 |
Stacking ensemble | 0.93 | 0.1 | 0.4 |
Attention-based CNN-LSTM | 0.92 | 0.2 | 0.4 |
Final Ensemble | 0.93 | 0.1 | 0.4 |