Research Article
Feature Selection and Model Fusion Approach for Predicting Urban Macro Travel Time
Table 6
The evaluation results of key features as input to the model.
| ā | SMAPE | MAPE | RMSE | MAE |
| GBDT | 3.7332 | 3.9118 | 0.4295 | 0.2482 | XGBoost | 3.7280 | 3.8742 | 0.4134 | 0.2452 | LightGBM | 3.2544 | 3.2882 | 0.3203 | 0.2141 | Model fusion | 3.2439 | 3.2851 | 0.3197 | 0.2133 |
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