{
    "data_id": "42178",
    "name": "telco-customer-churn",
    "exact_name": "telco-customer-churn",
    "version": 1,
    "version_label": null,
    "description": "Context\n\"Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.\" [IBM Sample Data Sets]\n\nContent\nEach row represents a customer, each column contains customer's attributes described on the column Metadata.\n\nThe data set includes information about:\n\nCustomers who left within the last month - the column is called Churn\nServices that each customer has signed up for - phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies\nCustomer account information - how long they've been a customer, contract, payment method, paperless billing, monthly charges, and total charges\nDemographic info about customers - gender, age range, and if they have partners and dependents\nInspiration\nTo explore this type of models and learn more about the subject.\n\nTaken from Kaggle: https:\/\/www.kaggle.com\/blastchar\/telco-customer-churn\/download",
    "format": "arff",
    "uploader": "Andreas Mueller",
    "uploader_id": 1140,
    "visibility": "public",
    "creator": null,
    "contributor": "\"Andreas Mueller\"",
    "date": "2019-10-15 13:07:48",
    "update_comment": null,
    "last_update": "2019-10-15 13:07:48",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/21756251\/dataset",
    "default_target_attribute": "Churn",
    "row_id_attribute": null,
    "ignore_attribute": "\"customerID\"",
    "runs": 0,
    "suggest": {
        "input": [
            "telco-customer-churn",
            "Context \"Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.\" [IBM Sample Data Sets] Content Each row represents a customer, each column contains customer's attributes described on the column Metadata. The data set includes information about: Customers who left within the last month - the column is called Churn Services that each customer has signed up for - phone, multiple lines, internet, online security, online back "
        ],
        "weight": 5
    },
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    "tags": [
        {
            "uploader": "38960",
            "tag": "Agriculture"
        },
        {
            "uploader": "38960",
            "tag": "Earth Science"
        }
    ],
    "features": [
        {
            "name": "Churn",
            "index": "20",
            "type": "string",
            "distinct": "2",
            "missing": "0",
            "target": "1"
        },
        {
            "name": "customerID",
            "index": "0",
            "type": "string",
            "distinct": "7043",
            "missing": "0",
            "ignore": "1"
        },
        {
            "name": "gender",
            "index": "1",
            "type": "string",
            "distinct": "2",
            "missing": "0"
        },
        {
            "name": "SeniorCitizen",
            "index": "2",
            "type": "numeric",
            "distinct": "2",
            "missing": "0",
            "min": "0",
            "max": "1",
            "mean": "0",
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            "name": "Partner",
            "index": "3",
            "type": "string",
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            "missing": "0"
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            "name": "Dependents",
            "index": "4",
            "type": "string",
            "distinct": "2",
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            "index": "5",
            "type": "numeric",
            "distinct": "73",
            "missing": "0",
            "min": "0",
            "max": "72",
            "mean": "32",
            "stdev": "25"
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            "name": "PhoneService",
            "index": "6",
            "type": "string",
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            "name": "MultipleLines",
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            "name": "InternetService",
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            "name": "OnlineSecurity",
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            "name": "StreamingTV",
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            "name": "StreamingMovies",
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            "missing": "0"
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        {
            "name": "Contract",
            "index": "15",
            "type": "string",
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            "missing": "0"
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        {
            "name": "PaperlessBilling",
            "index": "16",
            "type": "string",
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            "missing": "0"
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            "name": "PaymentMethod",
            "index": "17",
            "type": "string",
            "distinct": "4",
            "missing": "0"
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        {
            "name": "MonthlyCharges",
            "index": "18",
            "type": "numeric",
            "distinct": "1585",
            "missing": "0",
            "min": "18",
            "max": "119",
            "mean": "65",
            "stdev": "30"
        },
        {
            "name": "TotalCharges",
            "index": "19",
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            "distinct": "6531",
            "missing": "0"
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}