Feature engineering using XGBoost

Question

I am participating in a kaggle competition. I am planning to use the XGBoost package (in R). I read the XGBoost documentation and understood the basics.

Can someone explain how is feature engineering done using XGBoost?

An example for explanation would be of great help.

Answer 1

It turns out that the question I asked is incorrect.

Initially feature engineering is done, then xgboost is used to build a model out of it. If we not satisfied with the model's performance we can go back to feature engineering.

Thanks Dan Levin for the explanation.