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