{ "data_id": "46280", "name": "blastchar", "exact_name": "blastchar", "version": 1, "version_label": null, "description": "From original source:\n-----\n\nContext\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\nNew version from IBM:\nhttps:\/\/community.ibm.com\/community\/user\/businessanalytics\/blogs\/steven-macko\/2019\/07\/11\/telco-customer-churn-1113\n-----\nColumns with index 0 were deleted from the dataset, usually because they related to some kind of index.", "format": "arff", "uploader": "Bruno Belucci Teixeira", "uploader_id": 30703, "visibility": "public", "creator": "\"Blast Char\"", "contributor": "\"Bruno Belucci\"", "date": "2024-07-23 16:03:25", "update_comment": null, "last_update": "2024-07-23 16:03:25", "licence": "Data files Original Authors", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22120791\/dataset", "default_target_attribute": "Churn", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "blastchar", "From original source: ----- 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, " ], "weight": 5 }, "qualities": { "NumberOfInstances": 7043, "NumberOfFeatures": 20, "NumberOfClasses": 2, "NumberOfMissingValues": 11, "NumberOfInstancesWithMissingValues": 11, "NumberOfNumericFeatures": 3, "NumberOfSymbolicFeatures": 17, "PercentageOfBinaryFeatures": 35, "PercentageOfInstancesWithMissingValues": 0.1561834445548772, "AutoCorrelation": 0.6074978699233172, "PercentageOfMissingValues": 0.007809172227743859, "Dimensionality": 0.0028396989919068577, "PercentageOfNumericFeatures": 15, "MajorityClassPercentage": 73.4630129206304, "PercentageOfSymbolicFeatures": 85, "MajorityClassSize": 5174, "MinorityClassPercentage": 26.536987079369588, "MinorityClassSize": 1869, "NumberOfBinaryFeatures": 7 }, "tags": [], "features": [ { "name": "Churn", "index": "19", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "No", "Yes" ], [ [ "5174", "0" ], [ "0", "1869" ] ] ] }, { "name": "gender", "index": "0", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "Female", "Male" ], [ [ "2549", "939" ], [ "2625", "930" ] ] ] }, { "name": "SeniorCitizen", "index": "1", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "0", "1" ], [ [ "4508", "1393" ], [ "666", "476" ] ] ] }, { "name": "Partner", "index": "2", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "No", "Yes" ], [ [ "2441", "1200" ], [ "2733", "669" ] ] ] }, { "name": "Dependents", "index": "3", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "No", "Yes" ], [ [ "3390", "1543" ], [ "1784", "326" ] ] ] }, { "name": "tenure", "index": "4", "type": "numeric", "distinct": "73", "missing": "0", "min": "0", "max": "72", "mean": "32", "stdev": "25" }, { "name": "PhoneService", "index": "5", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "No", "Yes" ], [ [ "512", "170" ], [ "4662", "1699" ] ] ] }, { "name": "MultipleLines", "index": "6", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "No", "No phone service", "Yes" ], [ [ "2541", "849" ], [ "512", "170" ], [ "2121", "850" ] ] ] }, { "name": "InternetService", "index": "7", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "DSL", "Fiber optic", "No" ], [ [ "1962", "459" ], [ "1799", "1297" ], [ "1413", "113" ] ] ] }, { "name": "OnlineSecurity", "index": "8", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "No", "No internet service", "Yes" ], [ [ "2037", "1461" ], [ "1413", "113" ], [ "1724", "295" ] ] ] }, { "name": "OnlineBackup", "index": "9", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "No", "No internet service", "Yes" ], [ [ "1855", "1233" ], [ "1413", "113" ], [ "1906", "523" ] ] ] }, { "name": "DeviceProtection", "index": "10", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "No", "No internet service", "Yes" ], [ [ "1884", "1211" ], [ "1413", "113" ], [ "1877", "545" ] ] ] }, { "name": "TechSupport", "index": "11", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "No", "No internet service", "Yes" ], [ [ "2027", "1446" ], [ "1413", "113" ], [ "1734", "310" ] ] ] }, { "name": "StreamingTV", "index": "12", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "No", "No internet service", "Yes" ], [ [ "1868", "942" ], [ "1413", "113" ], [ "1893", "814" ] ] ] }, { "name": "StreamingMovies", "index": "13", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "No", "No internet service", "Yes" ], [ [ "1847", "938" ], [ "1413", "113" ], [ "1914", "818" ] ] ] }, { "name": "Contract", "index": "14", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "Month-to-month", "One year", "Two year" ], [ [ "2220", "1655" ], [ "1307", "166" ], [ "1647", "48" ] ] ] }, { "name": "PaperlessBilling", "index": "15", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "No", "Yes" ], [ [ "2403", "469" ], [ "2771", "1400" ] ] ] }, { "name": "PaymentMethod", "index": "16", "type": "nominal", "distinct": "4", "missing": "0", "distr": [ [ "Bank transfer (automatic)", "Credit card (automatic)", "Electronic check", "Mailed check" ], [ [ "1286", "258" ], [ "1290", "232" ], [ "1294", "1071" ], [ "1304", "308" ] ] ] }, { "name": "MonthlyCharges", "index": "17", "type": "numeric", "distinct": "1585", "missing": "0", "min": "18", "max": "119", "mean": "65", "stdev": "30" }, { "name": "TotalCharges", "index": "18", "type": "numeric", "distinct": "6530", "missing": "11", "min": "19", "max": "8685", "mean": "2283", "stdev": "2267" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }