{
    "data_id": "43463",
    "name": "Insurance-Premium-Data",
    "exact_name": "Insurance-Premium-Data",
    "version": 1,
    "version_label": "v1.0",
    "description": "This Dataset is something I found online when I wanted to practice regression models. It is an openly available online dataset at multiple places. Though I do not know the exact origin and collection methodology of the data, I would recommend this dataset to everybody who is just beginning their journey in Data science.",
    "format": "arff",
    "uploader": "Onur Yildirim",
    "uploader_id": 30126,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:23:08",
    "update_comment": null,
    "last_update": "2022-03-23 13:23:08",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102288\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Insurance-Premium-Data",
            "This Dataset is something I found online when I wanted to practice regression models. It is an openly available online dataset at multiple places. Though I do not know the exact origin and collection methodology of the data, I would recommend this dataset to everybody who is just beginning their journey in Data science. "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 1338,
        "NumberOfFeatures": 7,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 4,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.00523168908819133,
        "PercentageOfNumericFeatures": 57.14285714285714,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
        {
            "name": "age",
            "index": "0",
            "type": "numeric",
            "distinct": "47",
            "missing": "0",
            "min": "18",
            "max": "64",
            "mean": "39",
            "stdev": "14"
        },
        {
            "name": "sex",
            "index": "1",
            "type": "string",
            "distinct": "2",
            "missing": "0"
        },
        {
            "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": "string",
            "distinct": "2",
            "missing": "0"
        },
        {
            "name": "region",
            "index": "5",
            "type": "string",
            "distinct": "4",
            "missing": "0"
        },
        {
            "name": "charges",
            "index": "6",
            "type": "numeric",
            "distinct": "1337",
            "missing": "0",
            "min": "1122",
            "max": "63770",
            "mean": "13270",
            "stdev": "12110"
        }
    ],
    "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
}