telco-customer-churn
OpenML dataset with id 42178
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/21756251/telco-customer-churn.arff
Upload date: 15 October 2019
Dataset Characteristics
Number of classes: 2
Number of features: 20 (numeric: 3, symbolic: 0 and in total binary: 0 )
Number of instances: 7,043
Number of instances with missing values: 0
Number of missing values: 0
Context "Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets]
Content Each row represents a customer, each column contains customer's attributes described on the column Metadata.
The data set includes information about:
Customers who left within the last month - the column is called Churn Services that each customer has signed up for - phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies Customer account information - how long they've been a customer, contract, payment method, paperless billing, monthly charges, and total charges Demographic info about customers - gender, age range, and if they have partners and dependents Inspiration To explore this type of models and learn more about the subject.
Taken from Kaggle: https://www.kaggle.com/blastchar/telco-customer-churn/download
This page was built for dataset: telco-customer-churn
