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 exercício faz parte do curso
Predictive Analytics using Networked Data in R
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Make firstModel
firstModel <- glm(___ ~ degree + degree2 + triangles + betweenness + closeness + transitivity, family = ___, data = training_set)