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Hyperparameter optimization results of LightGBM (GS).
| Hyperparameters | Meanings | Search ranges | Optimal values |
|---|---|---|---|
| learning_rate | Learning rate | (0.01, 1.0) | 0.1 |
| max_depth | Maximum depth of the tree | (1, 50) | 15 |
| max_bin | The max number of bins that feature values will be bucketed in | (10, 100) | 20 |
| reg_alpha | L1 regularization | (1e-9, 1.0) | 1e-5 |
| boosting_type | Training method | gbdt; goss; rf; dart | gbdt |
| num_leaves | Number of leaf nodes | (4, 50) | 36 |
| n_estimators | Number of iterations | (100, 600) | 450 |
