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temporaldrift777/telco-churn-7k

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}… See the full description on the dataset page: https://huggingface.co/datasets/temporaldrift777/telco-churn-7k.

sourceHugging Faceecl-2.0updated 5mo agoView on Hugging Face
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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.