Build cross-validated models
In this exercise, you will build a linear model predicting life_expectancy using all available features. You will do this for the train data of each cross-validation fold.
This exercise is part of the course
Machine Learning in the Tidyverse
Exercise instructions
Build models predicting life_expectancy using all available features with the train data for each fold of the cross validation.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Build a model using the train data for each fold of the cross validation
cv_models_lm <- cv_data %>%
mutate(model = map(___, ~lm(formula = ___, data = ___)))