Skip to content

A machine learning model to forecast customer retention, as well as performing exploratory data analysis to examine which metrics may be most relevant to increase retention.

JKReyner/interconnect

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Interconnect

The telecom operator Interconnect would like to be able to forecast their churn of clients. If it's discovered that a user is planning to leave, they will be offered promotional codes and special plan options. Interconnect's marketing team has collected some of their clientele's personal data, including information about their plans and contracts.

Interconnect's services

Interconnect mainly provides two types of services:

  1. Landline communication. The telephone can be connected to several lines simultaneously.
  2. Internet. The network can be set up via a telephone line (DSL, digital subscriber line) or through a fiber optic cable.

Some other services the company provides include:

  • Internet security: antivirus software (DeviceProtection) and a malicious website blocker (OnlineSecurity)
  • A dedicated technical support line (TechSupport)
  • Cloud file storage and data backup (OnlineBackup)
  • TV streaming (StreamingTV) and a movie directory (StreamingMovies)

The clients can choose either a monthly payment or sign a 1- or 2-year contract. They can use various payment methods and receive an electronic invoice after a transaction.

Data Description

The data consists of files obtained from different sources:

  • contract.csv — contract information
  • personal.csv — the client's personal data
  • internet.csv — information about Internet services
  • phone.csv — information about telephone services

In each file, the column customerID contains a unique code assigned to each client.

The contract information is valid as of February 1, 2020.

Evaluation Metrics

Target feature: the 'EndDate' column equals 'No'.

Primary metric: AUC-ROC.

Additional metric: Accuracy.

About

A machine learning model to forecast customer retention, as well as performing exploratory data analysis to examine which metrics may be most relevant to increase retention.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published