xgboost and linear regression new feature analysis Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsHow does xgboost work with linear booster?Is feature engineering still useful when using XGBoost?Why doesn't LightGBM perform better than SVC (linear kernel)? [sentiment analysis]How to interpret continuous variables in a decision tree model?XGBoost Feature importance - Gain and Cover are high but Frequency is lowLinear Regression and scaling of dataxgboost cannot identify perfectly fitting regression lineXGBoost: Quantifying Feature ImportancesXGBoost regressionXGBoost feature significance and feature importance

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xgboost and linear regression new feature analysis



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow does xgboost work with linear booster?Is feature engineering still useful when using XGBoost?Why doesn't LightGBM perform better than SVC (linear kernel)? [sentiment analysis]How to interpret continuous variables in a decision tree model?XGBoost Feature importance - Gain and Cover are high but Frequency is lowLinear Regression and scaling of dataxgboost cannot identify perfectly fitting regression lineXGBoost: Quantifying Feature ImportancesXGBoost regressionXGBoost feature significance and feature importance










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$begingroup$


For linear regression. seem like a new feature has to be a linear relation with the target variable.



But If you make the new feature for the Xgboost.

what do you have to consider to make a new feature for a xgboost or lightgbm ?









share









$endgroup$
















    0












    $begingroup$


    For linear regression. seem like a new feature has to be a linear relation with the target variable.



    But If you make the new feature for the Xgboost.

    what do you have to consider to make a new feature for a xgboost or lightgbm ?









    share









    $endgroup$














      0












      0








      0





      $begingroup$


      For linear regression. seem like a new feature has to be a linear relation with the target variable.



      But If you make the new feature for the Xgboost.

      what do you have to consider to make a new feature for a xgboost or lightgbm ?









      share









      $endgroup$




      For linear regression. seem like a new feature has to be a linear relation with the target variable.



      But If you make the new feature for the Xgboost.

      what do you have to consider to make a new feature for a xgboost or lightgbm ?







      feature-selection xgboost





      share












      share










      share



      share










      asked 7 mins ago









      monkmonk

      164




      164




















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