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().
Bu egzersiz, kursun bir parçasıdır
Predictive Analytics using Networked Data in R
Uygulamalı etkileşimli egzersiz
Bu egzersizi bu örnek kodu tamamlayarak deneyin.
# Make firstModel
firstModel <- glm(___ ~ degree + degree2 + triangles + betweenness + closeness + transitivity, family = ___, data = training_set)