18 Chapter 18: Supervised Models II
Learning outcomes
At the end of this chapter, you should be able to
- Explain classification and regression tree methods
- Explain adaptations of single tree methods including forests, bagging, and boosting
- Explain typical tuning parameters for tree based models
- Use R packages for tree based models
Chapter content
Note: include practice and knowledge checks throughout chapter
Tutorial video
Note: include practice and knowledge checks
Mini-case video
Note: include practice and knowledge checks