{ "data_id": "46289", "name": "medical_cost", "exact_name": "medical_cost", "version": 1, "version_label": null, "description": "From original source:\n-----\n\nContext\nMachine Learning with R by Brett Lantz is a book that provides an introduction to machine learning using R. As far as I can tell, Packt Publishing does not make its datasets available online unless you buy the book and create a user account which can be a problem if you are checking the book out from the library or borrowing the book from a friend. All of these datasets are in the public domain but simply needed some cleaning up and recoding to match the format in the book.\n\nContent\nColumns\n\nage: age of primary beneficiary\n\nsex: insurance contractor gender, female, male\n\nbmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height,\nobjective index of body weight (kg \/ m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9\n\nchildren: Number of children covered by health insurance \/ Number of dependents\n\nsmoker: Smoking\n\nregion: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.\n\ncharges: Individual medical costs billed by health insurance\n-----", "format": "arff", "uploader": "Bruno Belucci Teixeira", "uploader_id": 30703, "visibility": "public", "creator": "\"Miri Choi\"", "contributor": "\"Bruno Belucci\"", "date": "2024-07-23 18:00:52", "update_comment": null, "last_update": "2024-07-23 18:00:52", "licence": "Database: Open Database, Contents: Database Contents", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22120800\/dataset", "default_target_attribute": "charges", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "medical_cost", "From original source: ----- Context Machine Learning with R by Brett Lantz is a book that provides an introduction to machine learning using R. As far as I can tell, Packt Publishing does not make its datasets available online unless you buy the book and create a user account which can be a problem if you are checking the book out from the library or borrowing the book from a friend. All of these datasets are in the public domain but simply needed some cleaning up and recoding to match the forma " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1338, "NumberOfFeatures": 7, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 3, "NumberOfSymbolicFeatures": 4, "AutoCorrelation": -12304.181128181002, "PercentageOfMissingValues": 0, "Dimensionality": 0.00523168908819133, "PercentageOfNumericFeatures": 42.857142857142854, "PercentageOfSymbolicFeatures": 57.14285714285714, "MajorityClassPercentage": null, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 2, "PercentageOfBinaryFeatures": 28.57142857142857, "PercentageOfInstancesWithMissingValues": 0 }, "tags": [], "features": [ { "name": "charges", "index": "6", "type": "numeric", "distinct": "1337", "missing": "0", "target": "1", "min": "1122", "max": "63770", "mean": "13270", "stdev": "12110" }, { "name": "age", "index": "0", "type": "nominal", "distinct": "47", "missing": "0", "distr": [] }, { "name": "sex", "index": "1", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "bmi", "index": "2", "type": "numeric", "distinct": "548", "missing": "0", "min": "16", "max": "53", "mean": "31", "stdev": "6" }, { "name": "children", "index": "3", "type": "numeric", "distinct": "6", "missing": "0", "min": "0", "max": "5", "mean": "1", "stdev": "1" }, { "name": "smoker", "index": "4", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "region", "index": "5", "type": "nominal", "distinct": "4", "missing": "0", "distr": [] } ], "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 }