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Build cross-validated models

In this exercise, you will build logistic regression models for each fold in your cross-validation.

You will build this using the glm() function and by setting the family argument to "binomial".

This exercise is part of the course

Machine Learning in the Tidyverse

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Exercise instructions

Build models predicting Attrition 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_lr <- cv_data %>% 
  mutate(model = map(___, ~glm(formula = ___, 
                               data = ___, family = ___)))
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