The Telco Customer Churn Dataset is commonly used for predicting customer retention in the telecommunications industry. Here’s a breakdown of the dataset and its significance:
Dataset Overview:
Rows: Each row represents a unique customer.
Columns: Contain information about customer demographics, account details, services subscribed to, and whether the customer has churned (left the service).
Key Features:
Demographic Information: gender, SeniorCitizen, Partner, Dependents.
Service Details: PhoneService, MultipleLines, InternetService, OnlineSecurity, TechSupport, etc.
Account Information: tenure (how long the customer has been with the company), Contract, MonthlyCharges, TotalCharges.
Target Variable: Churn – whether the customer left the company or stayed (Yes/No).
Objective:
Main goal is to predict customer churn, which refers to whether a customer will leave the company based on their historical data.