Chapter 6. Other Regression Techniques and Tools for Evaluation
Note
Learning Objectives
By the end of this chapter, you will be able to:
Calculate mean absolute error and root mean squared error, which are common measures of the accuracy of a regression model
Use evaluation metrics or lasso regression to perform feature selection for linear models
Use tree-based regression models (regression trees and random forest regression)
Compare the accuracy of different regression models
Note
This chapter covers other regression techniques such as lasso regression, and explains how to evaluate various regression models using common measures of accuracy.
