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Exercise

Cross-validation data frames

Now that you have withheld a portion of your data as testing data, you can use the remaining portion to find the best performing model.

In this exercise, you will split the training data into a series of 5 train-validate sets using the vfold_cv() function from the rsample package.

Instructions

100 XP
  • Build a data frame for 5-fold cross validation from the training_data using vfold_cv() and assign it to cv_split.
  • Prepare cv_data by appending two new columns to cv_split:
    • train: containing the train data frames by mapping training() across the splits column.
    • validate: containing the validate data frames by using mapping testing() across the splits column.