metadata

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.