R in a Nutshell, 2nd Edition

Chapter 21. Classification Models

In Chapter 20, I provided an overview of R’s statistical modeling software for regression problems. However, not all problems can be solved by predicting a continuous numerical quantity like a drug dose, or a person’s wage, or the value of a customer. Often, an analyst’s goal is to classify an item into a category or maybe to estimate the probability that an item belongs to a certain category. Models that describe this relationship are called classification models.

This chapter gives an overview of R’s statistical modeling software for linear classification models.