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".
Это упражнение является частью курса
Machine Learning in the Tidyverse
Инструкции к упражнению
Build models predicting Attrition using all available features with the train data for each fold of the cross validation.
Интерактивное практическое упражнение
Попробуйте выполнить это упражнение, дополнив этот пример кода.
# 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 = ___)))