Table 4 Performance comparison of different fusion models.
From: The comparative study of machine learning agent models in flood forecasting for tidal river reaches
Model | NSE | RMSE/(m) |
|---|---|---|
LSTM | 0.9243 | 0.2068 |
RF | 0.9438 | 0.1911 |
Simple averaging | 0.9340 | 0.1990 |
Weighted averaging | 0.9405 | 0.1850 |
Blending | 0.9552 | 0.1811 |
Stacking | 0.9672 | 0.1787 |
