Results of sensitivity analysis for the best model
Involved parameters . | Omitted parameters . | Training . | Testing . | ||||||
---|---|---|---|---|---|---|---|---|---|
R2 . | RMSE . | NRMSE (%) . | MAPE (%) . | R2 . | RMSE . | NRMSE (%) . | MAPE (%) . | ||
yc/h, n, α | __ | 0.9938 | 0.0081 | 1.92 | 1.59 | 0.9805 | 0.0125 | 3.10 | 2.41 |
yc/h, n | Α | 0.7900 | 0.0422 | 9.96 | 8.30 | 0.7824 | 0.0453 | 11.26 | 9.59 |
yc/h, α | N | 0.8613 | 0.0362 | 8.5457 | 6.82 | 0.8048 | 0.0386 | 9.59 | 7.40 |
n, α | yc/h | 0.5494 | 0.0698 | 16.45 | 14.81 | 0.3975 | 0.0693 | 17.22 | 15.5 |
Involved parameters . | Omitted parameters . | Training . | Testing . | ||||||
---|---|---|---|---|---|---|---|---|---|
R2 . | RMSE . | NRMSE (%) . | MAPE (%) . | R2 . | RMSE . | NRMSE (%) . | MAPE (%) . | ||
yc/h, n, α | __ | 0.9938 | 0.0081 | 1.92 | 1.59 | 0.9805 | 0.0125 | 3.10 | 2.41 |
yc/h, n | Α | 0.7900 | 0.0422 | 9.96 | 8.30 | 0.7824 | 0.0453 | 11.26 | 9.59 |
yc/h, α | N | 0.8613 | 0.0362 | 8.5457 | 6.82 | 0.8048 | 0.0386 | 9.59 | 7.40 |
n, α | yc/h | 0.5494 | 0.0698 | 16.45 | 14.81 | 0.3975 | 0.0693 | 17.22 | 15.5 |