Table 3 Comparative analysis of feature selection algorithms at 80% learning rate: a metric-based performance evaluation.
| Â | IEPO | TLBO | EMA | EPO | PROPOSED |
|---|---|---|---|---|---|
R-squared (R²) | 0.8242 | 0.8736 | 0.8927 | 0.9123 | 0.972632 |
MSE | 0.44212 | 0.39867 | 0.42341 | 0.34542 | 0.22133 |
MSRE | 0.423454 | 0.38766 | 0.41233 | 0.33245 | 0.23235 |
NMSE | 0.423445 | 0.37654 | 0.432435 | 0.33225 | 0.21342 |
RMSE | 0.41234 | 0.363234 | 0.45322 | 0.33212 | 0.248786 |
MAPE | 0.409873 | 0.365443 | 0.41234 | 0.32134 | 0.23786 |