R: Recipes for Analysis, Visualization and Machine Learning

Chapter 6. Give Me a Number – Regression

In this chapter, you will cover:

• Computing the root mean squared error
• Building KNN models for regression
• Performing linear regression
• Performing variable selection in linear regression
• Building regression trees
• Building random forest models for regression
• Using neural networks for regression
• Performing k-fold cross-validation
• Performing leave-one-out-cross-validation

Introduction

In many situations, data analysts seek to make numerical predictions and use regression techniques to do so. Some examples can be the future sales of a product, the amount of deposits that a bank will receive during the next month, the number of copies that a particular book will sell, and the expected selling price for a used car. This ...