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().
This exercise is part of the course
Predictive Analytics using Networked Data in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Make firstModel
firstModel <- glm(___ ~ degree + degree2 + triangles + betweenness + closeness + transitivity, family = ___, data = training_set)