xgboost参数默认值

xgboost的XGBClassifier分类算法的参数默认值如下：
- max_depth: 3
- learning_rate: 0.1
- n_estimators: 100
- silent: True
- objective: 'binary:logistic'
- booster: 'gbtree'
- n_jobs: 1
- nthread: None
- gamma: 0
- min_child_weight: 1
- max_delta_step: 0
- subsample: 1
- colsample_bytree: 1
- colsample_bylevel: 1
- reg_alpha: 0
- reg_lambda: 1
- scale_pos_weight: 1
- base_score: 0.5
- random_state: 0
- seed: None
- missing: None

这些参数可以通过调用XGBClassifier时传入不同的值来进行调整。
#### 引用[.reference_title]
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