Xgbboostclassifier model

data_dmatrix = xgb.DMatrix(data=X,label=y)

Source: datacamp.com

Xgbboostclassifier model

params = {"objective":"reg:linear",'colsample_bytree': 0.3,'learning_rate': 0.1,
                'max_depth': 5, 'alpha': 10}

cv_results = xgb.cv(dtrain=data_dmatrix, params=params, nfold=3,
                    num_boost_round=50,early_stopping_rounds=10,metrics="rmse", as_pandas=True, seed=123)

Source: datacamp.com

Similar codes

0 vote336 views1 answer
Qpushbutton pyqt5
Python
5 votes320 views1 answer
How to rezize image in python tkinter
Python
0 vote342 views1 answer
Qtablewidget clear python
Python
2 votes350 views1 answer
Python Key–value database
Python
11 votes344 views3 answers
Pandas conditional replace values in a series
Python
14 votes329 views5 answers
Server in python
Python
0 vote338 views1 answer
Python numpy kurtosis
Python
0 vote330 views1 answer
Generic rectangle
Python
0 vote355 views1 answer
Python enum declare
Python
31 votes346 views3 answers
Django createsuperuser
Python