{
    "data_id": "43448",
    "name": "Calculate-Concrete-Strength",
    "exact_name": "Calculate-Concrete-Strength",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nThis data set aims to provide a start up for the ones who just started off with deep learning and act as a benchmark.\nContent\nThe feature set includes:\n\nCement\nBlast Furnace Slag\nFly Ash\nWater\nSuper-plasticizer\nCoarse Aggregate\nFine Aggregate\nAge\n\nThe target set is:\n\nStrength of the Cement\n\nInspiration\nThe main agenda is not only to solve and get better results but understand the process and learn from the journey.\nbest of luck.",
    "format": "arff",
    "uploader": "Onur Yildirim",
    "uploader_id": 30126,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:21:38",
    "update_comment": null,
    "last_update": "2022-03-23 13:21:38",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102273\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Calculate-Concrete-Strength",
            "Context This data set aims to provide a start up for the ones who just started off with deep learning and act as a benchmark. Content The feature set includes: Cement Blast Furnace Slag Fly Ash Water Super-plasticizer Coarse Aggregate Fine Aggregate Age The target set is: Strength of the Cement Inspiration The main agenda is not only to solve and get better results but understand the process and learn from the journey. best of luck. "
        ],
        "weight": 5
    },
    "qualities": {
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        "NumberOfFeatures": 9,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 9,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.008737864077669903,
        "PercentageOfNumericFeatures": 100,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "AutoCorrelation": null,
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    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
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