Logistic regression model
In this exercise, you will build churn prediction models using logistic regression.
These models predict which customers will churn in the future.
You will build three models with different sets of features.
The target variable is called Future.
You will build the models using the training dataset training_set and the function glm().
Deze oefening maakt deel uit van de cursus
Predictive Analytics using Networked Data in R
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Make firstModel
firstModel <- glm(___ ~ degree + degree2 + triangles + betweenness + closeness + transitivity, family = ___, data = training_set)