lightgbm.sklearn.LGBMClassifier
Visibility: public
Uploaded 31-12-2023 by
Thao Nguyen Trang
sklearn==1.2.2
numpy>=1.17.3
scipy>=1.3.2
joblib>=1.1.1
threadpoolctl>=2.0.0
3 runs
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Parameters
| boosting_type | | default: "gbdt" |
| class_weight | | default: null |
| colsample_bytree | | default: 1.0 |
| importance_type | | default: "gain" |
| learning_rate | | default: 0.05 |
| max_depth | | default: -1 |
| metric | | default: "auc" |
| min_child_samples | | default: 20 |
| min_child_weight | | default: 0.001 |
| min_split_gain | | default: 0.0 |
| n_estimators | | default: 1000 |
| n_jobs | | default: -1 |
| num_leaves | | default: 2 |
| objective | | default: "binary" |
| random_state | | default: 123 |
| reg_alpha | | default: 0.0 |
| reg_lambda | | default: 0.0 |
| silent | | default: "warn" |
| subsample | | default: 1.0 |
| subsample_for_bin | | default: 200000 |
| subsample_freq | | default: 0 |
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