08_main.qmd

# 8. Tree-Based Methods

## Learning Objectives

- Use **decision trees** o model relationships between predictors and an outcome
- Compare and contrast tree-based models with other model types
- Use **tree-based ensemble methods** to improve predictive models
- Compare and contrast the various methods of building tree ensembles: bagging, boosting, random forests, and Bayesian Additive Regression Trees (BART)

Sources: 
https://github.com/JauntyJJS/islr2-bookclub-cohort3-chapter8,  https://hastie.su.domains/ISLR2/Slides/Ch8_Tree_Based_Methods.pdf