Table 5.
Performance evaluation of the ML-based developed models.
| Model | Subset | MAE | RMSE | RSE | RRMSE | R | ρ | OF |
|---|---|---|---|---|---|---|---|---|
| GEP | ||||||||
| Training | 4.0853 | 5.9697 | 0.0339 | 0.1232 | 0.9829 | 0.0622 | 0.0695 | |
| Validation | 5.3973 | 7.1330 | 0.0535 | 0.1473 | 0.9813 | 0.0743 | ||
| MEP | ||||||||
| Training | 2.3142 | 9.2813 | 0.0820 | 0.1916 | 0.9631 | 0.0976 | 0.1041 | |
| Validation | 2.4667 | 10.4115 | 0.1139 | 0.2149 | 0.9607 | 0.1085 | ||