Chapter 23 of 827 min read
Chapter 5.5 — Gradient Boosting: AdaBoost, XGBoost, LightGBM, and CatBoost
1. Learning Objectives Understand boosting as sequential error correction (contrasted with bagging) Distinguish AdaBoost, XGBoost, LightGBM, and CatBoost Fit a boosted model in R and Python 2. Theory Unlike bagging…
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