{ "data_id": "45146", "name": "insurance_4", "exact_name": "insurance_4", "version": 1, "version_label": null, "description": "**Insurance Bayesian Network. Sample 4.**\n\nbnlearn Bayesian Network Repository reference: [URL](https:\/\/www.bnlearn.com\/bnrepository\/discrete-medium.html#insurance)\n\n- Number of nodes: 27\n\n- Number of arcs: 52\n\n- Number of parameters: 1008\n\n- Average Markov blanket size: 5.19\n\n- Average degree: 3.85\n\n- Maximum in-degree: 3\n\n**Authors**: J. Binder, D. Koller, S. Russell, and K. Kanazawa\n\n**Please cite**: ([URL](https:\/\/cse.sc.edu\/~mgv\/csce582sp21\/links\/SDLC_CHILD_1993.pdf)): J. Binder, D. Koller, S. Russell, and K. Kanazawa. Adaptive Probabilistic Networks with Hidden Variables. Machine Learning, 29(2-3):213-244, 1997.", "format": "arff", "uploader": "Pablo Torrijos Arenas", "uploader_id": 33148, "visibility": "public", "creator": "\"J. Binder, D. Koller, S. Russell, and K. Kanazawa\"", "contributor": "\"OpenML\"", "date": "2023-04-26 16:43:29", "update_comment": null, "last_update": "2023-04-26 16:43:29", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22115808\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "insurance_4", "bnlearn Bayesian Network Repository reference: [URL](https:\/\/www.bnlearn.com\/bnrepository\/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 - Average Markov blanket size: 5.19 - Average degree: 3.85 - Maximum in-degree: 3 " ], "weight": 5 }, "qualities": { "NumberOfInstances": 5000, "NumberOfFeatures": 27, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 0, "NumberOfSymbolicFeatures": 7, "PercentageOfNumericFeatures": 0, "Dimensionality": 0.0054, "PercentageOfSymbolicFeatures": 25.925925925925924, "MajorityClassPercentage": null, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 7, "PercentageOfBinaryFeatures": 25.925925925925924, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "AutoCorrelation": null }, "tags": [ { "uploader": "33148", "tag": "bnlearn" }, { "uploader": "33148", "tag": "insurance" }, { "uploader": "38960", "tag": "Life Science" }, { "uploader": "38960", "tag": "Machine Learning" }, { "uploader": "33148", "tag": "sample" } ], "features": [ { "name": "DrivHist", "index": "0", "type": "string", "distinct": "3", "missing": "0" }, { "name": "DrivingSkill", "index": "1", "type": "string", "distinct": "3", "missing": "0" }, { "name": "Age", "index": "2", "type": "string", "distinct": "3", "missing": "0" }, { "name": "RuggedAuto", "index": "3", "type": "string", "distinct": "3", "missing": "0" }, { "name": "Mileage", "index": "4", "type": "string", "distinct": "4", "missing": "0" }, { "name": "VehicleYear", "index": "5", "type": "string", "distinct": "2", "missing": "0" }, { "name": "ILiCost", "index": "6", "type": "string", "distinct": "4", "missing": "0" }, { "name": "ThisCarDam", "index": "7", "type": "string", "distinct": "4", "missing": "0" }, { "name": "AntiTheft", "index": "8", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "DrivQuality", "index": "9", "type": "string", "distinct": "3", "missing": "0" }, { "name": "RiskAversion", "index": "10", "type": "string", "distinct": "4", "missing": "0" }, { "name": "GoodStudent", "index": "11", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "OtherCar", "index": "12", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "MakeModel", "index": "13", "type": "string", "distinct": "5", "missing": "0" }, { "name": "Accident", "index": "14", "type": "string", "distinct": "4", "missing": "0" }, { "name": "SocioEcon", "index": "15", "type": "string", "distinct": "4", "missing": "0" }, { "name": "HomeBase", "index": "16", "type": "string", "distinct": "4", "missing": "0" }, { "name": "PropCost", "index": "17", "type": "string", "distinct": "4", "missing": "0" }, { "name": "CarValue", "index": "18", "type": "string", "distinct": "5", "missing": "0" }, { "name": "Antilock", "index": "19", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "ThisCarCost", "index": "20", "type": "string", "distinct": "3", "missing": "0" }, { "name": "OtherCarCost", "index": "21", "type": "string", "distinct": "3", "missing": "0" }, { "name": "Theft", "index": "22", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Airbag", "index": "23", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "MedCost", "index": "24", "type": "string", "distinct": "4", "missing": "0" }, { "name": "SeniorTrain", "index": "25", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Cushioning", "index": "26", "type": "string", "distinct": "4", "missing": "0" } ], "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 }