{
    "data_id": "43154",
    "name": "coronary_dataset",
    "exact_name": "coronary_dataset",
    "version": 1,
    "version_label": null,
    "description": "**Dataset description**\n\nProbable risk factors for coronary thrombosis, comprising data from 1841 men.\n\n**Format of the dataset**\n\nThe coronary data set contains the following 6 variables:\n\nSmoking (smoking): a two-level factor with levels no and yes.\n\nM. Work (strenuous mental work): a two-level factor with levels no and yes.\n\nP. Work (strenuous physical work): a two-level factor with levels no and yes.\n\nPressure (systolic blood pressure): a two-level factor with levels <140 and >140.\n\nProteins (ratio of beta and alpha lipoproteins): a two-level factor with levels <3 and >3.\n\nFamily (family anamnesis of coronary heart disease): a two-level factor with levels neg and pos.\n\n**Source** \n\nEdwards DI (2000). Introduction to Graphical Modelling. Springer, 2nd edition.\n\nReinis Z, Pokorny J, Basika V, Tiserova J, Gorican K, Horakova D, Stuchlikova E, Havranek T, Hrabovsky F (1981). \"Prognostic Significance of the Risk Profile in the Prevention of Coronary Heart Disease\". Bratisl Lek Listy, 76:137-150. Published on Bratislava Medical Journal, in Czech.\n\nWhittaker J (1990). Graphical Models in Applied Multivariate Statistics. Wiley.",
    "format": "arff",
    "uploader": "Oleksandr Zadorozhnyi",
    "uploader_id": 29044,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-01-31 11:43:35",
    "update_comment": null,
    "last_update": "2022-01-31 11:43:35",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22101749\/data.arff",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "coronary_dataset",
            "Probable risk factors for coronary thrombosis, comprising data from 1841 men. The coronary data set contains the following 6 variables: Smoking (smoking): a two-level factor with levels no and yes. M. Work (strenuous mental work): a two-level factor with levels no and yes. P. Work (strenuous physical work): a two-level factor with levels no and yes. Pressure (systolic blood pressure): a two-level factor with levels <140 and >140. Proteins (ratio of beta and alpha lipoproteins): a two-level facto "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 1841,
        "NumberOfFeatures": 6,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 0,
        "NumberOfSymbolicFeatures": 6,
        "Dimensionality": 0.0032590983161325366,
        "PercentageOfNumericFeatures": 0,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 100,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 6,
        "PercentageOfBinaryFeatures": 100,
        "PercentageOfInstancesWithMissingValues": 0,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
        {
            "name": "Smoking",
            "index": "0",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": []
        },
        {
            "name": "M. Work",
            "index": "1",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": []
        },
        {
            "name": "P. Work",
            "index": "2",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Pressure",
            "index": "3",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Proteins",
            "index": "4",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Family",
            "index": "5",
            "type": "nominal",
            "distinct": "2",
            "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
}