Augment the fitted values of each model

In this exercise you will prepare your four best and worst fitting models for further exploration by augmenting your model data with augment().

This exercise is part of the course

Machine Learning in the Tidyverse

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Exercise instructions

Build the best_augmented data frame by building augmented data frames and simplifying them with unnest() using the best_fit data frame.
Build the worst_augmented data frame by building augmented data frames and simplifying them with unnest() using the worst_fit data frame.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

best_augmented <- best_fit %>% 
  # Build the augmented data frame for each country model
  mutate(augmented = ___) %>% 
  # Expand the augmented data frames
  ___

worst_augmented <- worst_fit %>% 
  # Build the augmented data frame for each country model
  mutate(augmented = ___) %>% 
  # Expand the augmented data frames
  ___

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