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Results of hyperparameters for developed machine learning models.
| Hyperparameters | XGBoost | LightGBM | CatBoost |
|---|---|---|---|
| reg_alpha | 0 | 4 | - |
| reg_lambda | 7 | 8 | - |
| colsample_bytree | 0.9 | 1.0 | - |
| min_child_weight | 5 | 1 | - |
| eta | 0.1 | 0.1 | - |
| l2_leaf_reg | - | - | 5.0 |
| border_count | - | - | 80 |
| colsample_bylevel | - | - | 0.7 |
| bagging_temperature | - | - | 5.8858097 |
| min_data_in_leaf | - | - | 2 |
| max_depth | 4 | 12 | 3 |
| subsample | 0.7 | 0.8 | 0.720713 |
| learning_rate | 0.05 | 0.045 | 0.025 |
| n_estimators | 428 | 574 | 7600 |
