TABLE 5.
Evaluation metric values for each algorithm.
| MAE | MSE | R2 | |
|---|---|---|---|
| GradientBoostingRegressor | 0.6732 | 0.7927 | 0.6087 |
| RandomForestRegressor | 0.6180 | 0.6752 | 0.6600 |
| Stacking | 0.5940 | 0.6436 | 0.7002 |
Evaluation metric values for each algorithm.
| MAE | MSE | R2 | |
|---|---|---|---|
| GradientBoostingRegressor | 0.6732 | 0.7927 | 0.6087 |
| RandomForestRegressor | 0.6180 | 0.6752 | 0.6600 |
| Stacking | 0.5940 | 0.6436 | 0.7002 |