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".
Cet exercice fait partie du cours
Machine Learning in the Tidyverse
Instructions
Build models predicting Attrition using all available features with the train data for each fold of the cross validation.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de 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 = ___)))