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".
Este exercício faz parte do curso
Machine Learning in the Tidyverse
Instruções do exercício
Build models predicting Attrition using all available features with the train data for each fold of the cross validation.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# 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 = ___)))