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--- |
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license: ecl-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- public |
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- text |
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- tabular |
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- customer-churn-analysis |
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- education |
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pretty_name: Teclo Churn 7k |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Telco Churn 7k |
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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: |
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- **customerID** – unique subscriber identifier |
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- **gender** – {Female, Male} |
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- **SeniorCitizen** – {0, 1} |
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- **Partner**, **Dependents** – {Yes, No} |
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- **tenure** – months of service (0–72) |
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- **PhoneService**, **MultipleLines** – {Yes, No, No phone service} |
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- **InternetService** – {DSL, Fiber optic, No} |
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- **OnlineSecurity**, **OnlineBackup**, **DeviceProtection**, **TechSupport**, **StreamingTV**, **StreamingMovies** – {Yes, No, No internet service} |
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- **Contract** – {Month-to-month, One year, Two year} |
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- **PaperlessBilling** – {Yes, No} |
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- **PaymentMethod** – {Electronic check, Mailed check, Bank transfer (automatic), Credit card (automatic)} |
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- **MonthlyCharges**, **TotalCharges** – numeric fees in USD |
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- **Churn** – target label for churn prediction |
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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. |
