Machine Learning with R Cookbook - Second Edition

How it works...

In this recipe, we demonstrate how convenient it is to conduct the k-fold cross-validation using the caret package. In the first step, we set up the training control and select the option to perform the 10-fold cross-validation in three repetitions. The process of repeating the k-fold validation is called repeated k-fold validation, which is used to test the stability of the model. If the model is stable, one should get a similar test result. Then, we apply rpart on the training dataset with the option to scale the data and to train the model with the options configured in the previous step.

After the training process is complete, the model outputs three resampling results. Of these results, the model with cp=0.05555556 has ...