Research Article
Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost
Table 3
Parameter settings of XGBoost-S.
| Type | Parameter | Settings |
| Booster | max_depth | 5 | min_child_weight | 10 | gamma | 0 | subsample | 1 | reg_alpha | 0.01 | 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 | 0.25 | num_boost_round | 80 |
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