Introduction

In the previous chapter, we learned how to prepare data for regression modeling. We also learned how to apply linear regression to data and interpret the results.

In this chapter, we will build on this knowledge by learning how to evaluate a model. This will be used to choose which features to use for a model, as well as to compare different models. Then, we will learn about using lasso regression for feature selection. Finally, we will learn about tree-based regression methods, and why they sometimes outperform linear regression techniques.