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    "format": "arff",
    "uploader": "Onur Yildirim",
    "uploader_id": 30126,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:45:54",
    "update_comment": null,
    "last_update": "2022-03-23 13:45:54",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102365\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Emissions-by-Cars",
            "Context This Data set contains various information about a set of cars that were manufactured with set of factory parameters like cylinder size, number of cylinders, fuel consumption, Carbon dioxide emissions etc. Content Feature set includes model, make, vehicle type, engine size,Transmission, fuel consumption etc. The target set is Carbon dioxide Emission. Inspiration The inspiration was to learn and help understand the concept behind data science's basics. "
        ],
        "weight": 5
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        "NumberOfFeatures": 13,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 8,
        "NumberOfSymbolicFeatures": 0,
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        "PercentageOfNumericFeatures": 61.53846153846154,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0
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    "tags": [
        {
            "uploader": "38960",
            "tag": "Machine Learning"
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        {
            "uploader": "38960",
            "tag": "Mathematics"
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