Table 2 Comparative analysis of feature selection algorithms at 70% learning rate: a Metric-based performance evaluation.
IEPO | TLBO | EMA | EPO | PROPOSED | |
---|---|---|---|---|---|
R-squared (R²) | 0.812632 | 0.82334 | 0.87363 | 0.91623 | 0.98263 |
MSE | 0.45653 | 0.423434 | 0.32342 | 0.40985 | 0.234643 |
MSRE | 0.44543 | 0.41234 | 0.33243 | 0.412345 | 0.24323 |
NMSE | 0.44432 | 0.43214 | 0.34432 | 0.43567 | 0.21134 |
RMSE | 0.411124 | 0.45322 | 0.36536 | 0.41124 | 0.231467 |
MAPE | 0.421213 | 0.40987 | 0.38786 | 0.38768 | 0.212345 |