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".
Questo esercizio fa parte del corso
Machine Learning in the Tidyverse
Istruzioni dell'esercizio
Build models predicting Attrition using all available features with the train data for each fold of the cross validation.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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 = ___)))