Table 3 The suitable group of independent variables for determining two GR2M parameters.
From: Using machine learning methods for supporting GR2M model in runoff estimation in an ungauged basin
Methods | Scenario | X1 | X2 | ||||||
|---|---|---|---|---|---|---|---|---|---|
MAE | RMSE | r | CA | MAE | RMSE | r | CA | ||
MLR | 1 | 2.032 | 2.383 | 0.237 | 1.787 | 0.083 | 0.110 | 0.312 | 0.365 |
2 | 1.462 | 1.820 | 0.671 | 1.277 | 0.059 | 0.078 | 0.733 | 0.200 | |
3 | 1.455 | 1.797 | 0.681 | 1.263 | 0.053 | 0.070 | 0.794 | 0.164 | |
RF | 1 | 0.658 | 0.861 | 0.963 | 0.531 | 0.036 | 0.045 | 0.971 | 0.046 |
2 | 0.595 | 0.790 | 0.976 | 0.478 | 0.024 | 0.036 | 0.984 | 0.031 | |
3 | 0.580 | 0.772 | 0.974 | 0.468 | 0.028 | 0.039 | 0.983 | 0.033 | |
M5 | 1 | 2.072 | 2.453 | 0.000 | 1.842 | 0.083 | 0.109 | 0.312 | 0.365 |
2 | 1.226 | 1.578 | 0.790 | 1.060 | 0.051 | 0.070 | 0.799 | 0.161 | |
3 | 1.502 | 1.917 | 0.624 | 1.343 | 0.048 | 0.065 | 0.829 | 0.142 | |
