Research Article
Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots
Table 4
Random forest parameters in the Xi’anbei Railway Station area.
| Parameter | Accuracy before adjustment | Accuracy after adjustment | Value | Increase in accuracy |
| n_estimators | 0.857206 | 0.858649 | 80 | 0.001443 | max_features | 0.858649 | 0.884258 | 4 | 0.025609 | max_depth | 0.884258 | 0.884258 | Default | 0 | min_samples_leaf | 0.884258 | 0.8842589 | Default | 0 |
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