Table 8.
Comparative performance measurements.
| Model | R-Squared Score | RMSE | MAE | MAPE | ||||
|---|---|---|---|---|---|---|---|---|
| Train | Test | Train | Test | Train | Test | Train | Test | |
| Random Forest Regressor | 0.99 | 0.95 | 156.95 | 414.88 | 82.76 | 221.00 | 0.02 | 0.05 |
| CatBoost Regressor | 0.98 | 0.95 | 237.69 | 393.73 | 164.66 | 248.59 | 0.04 | 0.06 |
| Extreme Gradient Boosting (XGB) Regressor | 1.00 | 0.94 | 2.84 | 446.56 | 1.88 | 263.60 | 0.00 | 0.06 |
| Light Gradient Boosting Machine (LightGBM) Regressor) | 0.98 | 0.94 | 221.95 | 449.48 | 159.27 | 289.12 | 0.03 | 0.07 |
| Average Scoring | 0.99 | 0.95 | 154.86 | 426.16 | 102.14 | 255.58 | 0.02 | 0.06 |