Data splitting and general model fitting

The caret package includes a set of very useful functions for splitting the data prior to modeling. This is often necessary, as we typically need to work with both train and test datasets.

In this exercise, we will work with the famous mushroom dataset, which can be obtained from the UCI Machine Learning Repository.

Getting ready

In order to run this recipe, the caret package needs to be installed using install.packages("caret").

How to do it...

This dataset has 8,124 samples of mushrooms that can be either poisonous...