Table 6 The prediction comparison on Guizhou dataset.
From: A multi-feature spatial–temporal fusion network for traffic flow prediction
Method | MAE | MSE | RMSE | R2 | MAPE |
|---|---|---|---|---|---|
HA | 4.2939 | 25.8327 | 5.0826 | 0.0801 | 18.1406 |
SVR | 2.9184 | 11.5318 | 3.3959 | 0.1328 | 12.3207 |
FCN | 3.0079 | 13.2737 | 3.6433 | 0.1258 | 12.7584 |
Transformer | 2.7888 | 9.8345 | 3.1360 | 0.1878 | 11.9192 |
LSTM-GAT | 2.9153 | 12.0708 | 3.4743 | 0.1339 | 12.7275 |
MFSTN | 2.2639 | 8.0175 | 2.8315 | 0.2121 | 9.1711 |
