Research Article
Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost
Table 2
Parameter settings of XGBoost-I
| Type | Parameter | Settings |
| Booster | max_depth | 3 | min_child_weight | 10 | gamma | 0 | subsample | 1 | reg_alpha | 0.1 | reg_lambda | 0.05 | scale_pos_weight | 1 |
| General | Booster | gbtree | Silent | 0 | Nthread | max |
| Learning target | Objective | reg:gamma | eval_metric | Depending on objective | Seed | 0 | learning_rates | 0.04 | eval_metric | rmse | evals | evallist |
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