---
license: ecl-2.0
task_categories:
- text-classification
language:
- en
tags:
- public
- text
- tabular
- customer-churn-analysis
- education
pretty_name: Teclo Churn 7k
size_categories:
- 1K<n<10K
---

# Telco Churn 7k

A 7,043-row customer-retention dataset drawn from a U.S. telecom provider. Each record profiles one account with 21 concise attributes and a **Churn** flag (*Yes* / *No*) indicating whether the customer left within the last month. The schema is:

- **customerID** – unique subscriber identifier  
- **gender** – {Female, Male}  
- **SeniorCitizen** – {0, 1}  
- **Partner**, **Dependents** – {Yes, No}  
- **tenure** – months of service (0–72)  
- **PhoneService**, **MultipleLines** – {Yes, No, No phone service}  
- **InternetService** – {DSL, Fiber optic, No}  
- **OnlineSecurity**, **OnlineBackup**, **DeviceProtection**, **TechSupport**, **StreamingTV**, **StreamingMovies** – {Yes, No, No internet service}  
- **Contract** – {Month-to-month, One year, Two year}  
- **PaperlessBilling** – {Yes, No}  
- **PaymentMethod** – {Electronic check, Mailed check, Bank transfer (automatic), Credit card (automatic)}  
- **MonthlyCharges**, **TotalCharges** – numeric fees in USD  
- **Churn** – target label for churn prediction

The dataset mixes categorical, numeric and missing-value patterns typical of real CRM exports, making it a standard benchmark for churn-modeling and customer-analytics pipelines.