XGBoost Part 2 (of 4): Classification 

In this video we pick up where we left off in part 1 and cover how XGBoost trees are built for Classification.
NOTE: This StatQuest assumes that you are already familiar with...
XGBoost Part 1: XGBoost Trees for Regression: • XGBoost Part 1 (of 4):...
...the main ideas behind Gradient Boost for Classification: • Gradient Boost Part 3 ...
...Odds and Log(odds): • Odds and Log(Odds), Cl...
...and how the Logistic Function works: • Logistic Regression De...
Also note, this StatQuest is based on the following sources:
The original XGBoost manuscript: arxiv.org/pdf/1603.02754.pdf
The original XGBoost presentation: homes.cs.washington.edu/~tqch...
And the XGBoost Documentation: xgboost.readthedocs.io/en/lat...
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Corrections:
14:24 I meant to say "larger" instead of "lower.
18:48 In the original XGBoost documents they use the epsilon symbol to refer to the learning rate, but in the actual implementation, this is controlled via the "eta" parameter. So, I guess to be consistent with the original documentation, I made the same mistake! :)
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