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
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 = ___)))