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XGBoost Part 3 (of 4): Mathematical Details
27:24
YouTubeStatQuest with Josh Starmer
XGBoost Part 3 (of 4): Mathematical Details
In this video we dive into the nitty-gritty details of the math behind XGBoost trees. We derive the equations for the Output Values from the leaves as well as the Similarity Score. Then we show how these general equations are customized for Regression or Classification by their respective Loss Functions. If you make it to the end, you will be ...
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