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()
.
Este ejercicio forma parte del curso
Predictive Analytics using Networked Data in R
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Make firstModel
firstModel <- glm(___ ~ degree + degree2 + triangles + betweenness + closeness + transitivity, family = ___, data = training_set)