ComenzarEmpieza gratis

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

Ver curso

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)
Editar y ejecutar código