Table 4 8 groups of XGBoost model parameter results
max_depth | min_child_weight | gamma | subsample | colsample_bytree | reg_alpha | reg_lambda | learning_rate | num_boost_round |
|---|---|---|---|---|---|---|---|---|
3 | 3 | 0.2 | 0.9 | 0.8 | 1.00E-05 | 1 | 0.01 | 5000 |
3 | 3 | 0.2 | 0.8 | 0.8 | 1.00E-05 | 1 | 0.01 | 5000 |
3 | 3 | 0.4 | 0.9 | 0.5 | 1.00E-05 | 1 | 0.01 | 5000 |
3 | 3 | 0.4 | 0.95 | 0.5 | 1.00E-05 | 1 | 0.01 | 5000 |
7 | 4 | 0 | 0.9 | 0.95 | 1.00E-05 | 1 | 0.01 | 1000 |
7 | 4 | 0 | 0.95 | 0.95 | 1.00E-05 | 1 | 0.01 | 1000 |
7 | 4 | 0.1 | 0.9 | 0.3 | 1.00E-05 | 1 | 0.01 | 1000 |
7 | 4 | 0.1 | 0.95 | 0.4 | 1.00E-05 | 1 | 0.01 | 2000 |