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".
Latihan ini adalah bagian dari kursus
Machine Learning in the Tidyverse
Petunjuk latihan
Build models predicting Attrition using all available features with the train data for each fold of the cross validation.
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
# 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 = ___)))