Chapter 2. Tidying Data and Measuring Performance

In this chapter, we will cover the topics of tidying your data in preparation for predictive modeling, performance metrics, cross-validation, and learning curves.

In statistics, it is an accepted concept that there are two types of data, which are:

Untidy data is considered to be raw or messy; tidy data is data that has gone through a quality assurance process and is ready to be used.