DEVELOPMENT...      {
    "data_id": "43531",
    "name": "Gender-Classification-Dataset",
    "exact_name": "Gender-Classification-Dataset",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nWhile I was practicing machine learning, I wanted to create a simple dataset that is closely aligned to the real world scenario and gives better results to whet my appetite on this domain. If you are a beginner who wants to try solving classification problems in machine learning and if you prefer achieving better results, try using this dataset in your projects which will be a great place to start.\nContent\nThis dataset contains 7 features and a label column. \nlonghair - This column contains 0's and 1's where 1 is \"long hair\" and 0 is \"not long hair\".\nforeheadwidthcm - This column is in CM's. This is the width of the forehead. \nforeheadheightcm - This is the height of the forehead and it's in Cm's.\nnosewide - This column contains 0's and 1's where 1 is \"wide nose\" and 0 is \"not wide nose\". \nnoselong - This column contains 0's and 1's where 1 is \"Long nose\" and 0 is \"not long nose\".\nlipsthin - This column contains 0's and 1's where 1 represents the \"thin lips\" while 0 is \"Not thin lips\".\ndistancenosetoliplong - This column contains 0's and 1's where 1 represents the \"long distance between nose and lips\" while 0 is \"short distance between nose and lips\".\ngender - This is either \"Male\" or \"Female\".\nAcknowledgements\nNothing to acknowledge as this is just a made up data.\nInspiration\nIt's painful to see bad results at the beginning. Don't begin with complicated datasets if you are a beginner. I'm sure that this dataset will encourage you to proceed further in the domain. Good luck.",
    "format": "arff",
    "uploader": " Lowe",
    "uploader_id": 30126,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:44:45",
    "update_comment": null,
    "last_update": "2022-03-23 13:44:45",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102356\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Gender-Classification-Dataset",
            "Context While I was practicing machine learning, I wanted to create a simple dataset that is closely aligned to the real world scenario and gives better results to whet my appetite on this domain. If you are a beginner who wants to try solving classification problems in machine learning and if you prefer achieving better results, try using this dataset in your projects which will be a great place to start. Content This dataset contains 7 features and a label column. longhair - This column contai "
        ],
        "weight": 5
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    "qualities": {
        "NumberOfInstances": 5001,
        "NumberOfFeatures": 8,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 7,
        "NumberOfSymbolicFeatures": 0,
        "PercentageOfSymbolicFeatures": 0,
        "AutoCorrelation": null,
        "PercentageOfNumericFeatures": 87.5,
        "PercentageOfMissingValues": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfBinaryFeatures": 0,
        "NumberOfBinaryFeatures": 0,
        "MinorityClassSize": null,
        "MinorityClassPercentage": null,
        "MajorityClassSize": null,
        "MajorityClassPercentage": null,
        "Dimensionality": 0.0015996800639872025
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    "tags": [],
    "features": [
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