class xgboost.XGBClassifier(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, **kwargs)