Table 3.
Assessment of ML model prediction.
| Parameter | ANN | SVM | ELM | KRR | XGB | RF |
|---|---|---|---|---|---|---|
| R2 | 0.9804 | 0.9760 | 0.9877 | 0.9781 | 0.9758 | 0.9583 |
| NSE | 0.9801 | 0.9733 | 0.9871 | 0.9762 | 0.9745 | 0.9336 |
| WI | 0.9950 | 0.9935 | 0.9968 | 0.9942 | 0.9933 | 0.9801 |
| MAE | 0.1155 | 0.1011 | 0.0744 | 0.1172 | 0.1105 | 0.2376 |
| RMSE | 0.1507 | 0.1744 | 0.1212 | 0.1649 | 0.1704 | 0.2752 |
| AAD (%) | 1.9787 | 1.6973 | 1.2188 | 1.9481 | 1.9211 | 3.8604 |
| AIC | −53.0090 | −48.0359 | −60.4138 | −49.9398 | −32.5365 | −32.5365 |