Research Article
Feature Selection and Model Fusion Approach for Predicting Urban Macro Travel Time
Table 5
Evaluation results with all features as model inputs.
| ā | SMAPE | MAPE | RMSE | MAE |
| GBDT | 3.7695 | 3.9317 | 0.4277 | 0.2483 | XGBoost | 3.7481 | 3.9394 | 0.4451 | 0.2490 | LightGBM | 3.3052 | 3.3305 | 0.3233 | 0.2167 | Model fusion | 3.2651 | 3.3148 | 0.3189 | 0.2144 |
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