{
    "data_id": "43739",
    "name": "Country_data",
    "exact_name": "Country_data",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nThis dataset was a part of the assignment of my coursework.\nContent\nThe dataset contains 90+ columns describing different aspects of all countries like GDP, Population, Electricity-consumption and many more. Most of the fields are explained here (others are standard terms you can search for): link\nAcknowledgements\nThis dataset is taken from CIA\nInspiration\nGDP Prediction is the most important task here. Other tasks include the prediction of other fields. Since the dataset is small I want to see how much accuracy can be reached with this.",
    "format": "arff",
    "uploader": "Dustin Carrion",
    "uploader_id": 30123,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 07:45:48",
    "update_comment": null,
    "last_update": "2022-03-24 07:45:48",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102564\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Country_data",
            "Context This dataset was a part of the assignment of my coursework. Content The dataset contains 90+ columns describing different aspects of all countries like GDP, Population, Electricity-consumption and many more. Most of the fields are explained here (others are standard terms you can search for): link Acknowledgements This dataset is taken from CIA Inspiration GDP Prediction is the most important task here. Other tasks include the prediction of other fields. Since the dataset is small I want "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 197,
        "NumberOfFeatures": 80,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 0,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.40609137055837563,
        "PercentageOfNumericFeatures": 0,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Economics"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
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