In Chapter 12, Multilevel Analyses, we examined how to fit and predict nested data using multilevel analyses. In the previous chapter, we discussed text mining in R. In this chapter, we will discover how to perform cross-validation and bootstrapping using the
caret package and how to export models using Predictive Model Markup Language (PMML).
In this section, we will discuss how to examine the reliability of a model with cross-validation. We start by discussing what cross-validation is.
You might remember that, in several chapters, we used half of the ...