Table 9 Evaluation indicators for multi-step prediction.
From: An efficient parallel runoff forecasting model for capturing global and local feature information
Site | Model | 2-Steps | 3-Steps | ||||||
|---|---|---|---|---|---|---|---|---|---|
R2 | MAE | RMSE | NSEC | R2 | MAE | RMSE | NSEC | ||
Dongjiang | PCPFN | 0.86 | 53.33 | 91.01 | 0.83 | 0.74 | 63.65 | 112.18 | 0.74 |
PFN | 0.78 | 45.70 | 95.63 | 0.72 | 0.69 | 55.45 | 112.72 | 0.64 | |
Quinebaug | PCPFN | 0.91 | 17.97 | 27.76 | 0.91 | 0.81 | 19.16 | 32.30 | 0.83 |
PFN | 0.82 | 12.09 | 24.80 | 0.80 | 0.59 | 17.07 | 37.07 | 0.65 | |
Housatonic | PCPFN | 0.95 | 7.39 | 11.98 | 0.94 | 0.87 | 7.89 | 13.81 | 0.88 |
PFN | 0.86 | 4.63 | 12.46 | 0.85 | 0.69 | 7.20 | 13.97 | 0.72 | |
