XGBoost With Python

Fisseha Berhane looked at Extreme Gradient Boosting with R and now covers it in Python:

In both R and Python, the default base learners are trees (gbtree) but we can also specify gblinear for linear models and dart for both classification and regression problems.
In this post, I will optimize only three of the parameters shown above and you can try optimizing the other parameters. You can see the list of parameters and their details from the website.

It’s hard to overstate just how valuable XGBoost is as an algorithm.

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