Xgboost

Explaining Predictions: Boosted Trees Post-hoc Analysis (Xgboost)

R
Recap We’ve covered various approaches in explaining model predictions globally. Today we will learn about another model specific post hoc analysis. We will learn to understand the workings of gradient boosting predictions. Like past posts, the Clevaland heart dataset as well as tidymodels principle will be used. Refer to the first post of this series for more details. Gradient Boosting Besides random forest introduced in a past post, another tree-based ensemble model is gradient boosting.