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
<cours>Machine Learning in the Tidyverse</cours>Instructions de l’exercice
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 ce code d’exemple.
# 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 = ___)))