{
    "data_id": "43967",
    "name": "covertype",
    "exact_name": "covertype",
    "version": 8,
    "version_label": null,
    "description": "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. Original description: \n \n**Author**: Jock A. Blackard, Dr. Denis J. Dean, Dr. Charles W. Anderson   \n**Source**: [LibSVM repository](http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvmtools\/datasets\/) - 2013-11-14  \n**Please cite**: For the binarization: R. Collobert, S. Bengio, and Y. Bengio. A parallel mixture of SVMs for very large scale problems. Neural Computation, 14(05):1105-1114, 2002.\n\nThis is the famous covertype dataset in its binary version, retrieved 2013-11-13 from the libSVM site (called covtype.binary there). Additional to the preprocessing done there (see LibSVM site for details), this dataset was created as  follows:\n-load covertpype dataset, unscaled.\n-normalize each file columnwise according to the following rules:\n-If a column only contains one value (constant feature), it will set to zero and thus removed by sparsity.\n-If a column contains two values (binary feature), the value occuring more often will be set to zero, the other to one.\n-If a column contains more than two values (multinary\/real feature), the column is divided by its std deviation.\n-duplicate lines were finally removed.\n\nPreprocessing: Transform from multiclass into binary class.",
    "format": "arff",
    "uploader": "Leo Grin",
    "uploader_id": 26324,
    "visibility": "public",
    "creator": "\"Jock A. Blackard\",\"Dr. Denis J. Dean\",\"Dr. Charles W. Anderson\"",
    "contributor": "\"Leo Grin\"",
    "date": "2022-06-16 19:19:11",
    "update_comment": null,
    "last_update": "2022-06-16 19:19:11",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/old.openml.org\/data\/download\/22103055\/dataset",
    "default_target_attribute": "Y",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "covertype",
            "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. Original description: This is the famous covertype dataset in its binary version, retrieved 2013-11-13 from the libSVM site (called covtype.binary there). Additional to the preprocessing done there (see LibSVM site for details), this dataset was created as follows: -load covertpype dataset, unscaled. -n "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 566602,
        "NumberOfFeatures": 11,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 11,
        "NumberOfSymbolicFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "AutoCorrelation": 0.9999982350895956,
        "PercentageOfMissingValues": 0,
        "Dimensionality": 1.9413980183620954e-5,
        "PercentageOfNumericFeatures": 100,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        },
        {
            "uploader": "38960",
            "tag": "Medicine"
        }
    ],
    "features": [
        {
            "name": "Y",
            "index": "10",
            "type": "numeric",
            "distinct": "2",
            "missing": "0",
            "target": "1",
            "min": "0",
            "max": "1",
            "mean": "1",
            "stdev": "1"
        },
        {
            "name": "X1",
            "index": "0",
            "type": "numeric",
            "distinct": "1971",
            "missing": "0",
            "min": "7",
            "max": "14",
            "mean": "11",
            "stdev": "1"
        },
        {
            "name": "X2",
            "index": "1",
            "type": "numeric",
            "distinct": "361",
            "missing": "0",
            "min": "0",
            "max": "3",
            "mean": "1",
            "stdev": "1"
        },
        {
            "name": "X3",
            "index": "2",
            "type": "numeric",
            "distinct": "67",
            "missing": "0",
            "min": "0",
            "max": "9",
            "mean": "2",
            "stdev": "1"
        },
        {
            "name": "X4",
            "index": "3",
            "type": "numeric",
            "distinct": "551",
            "missing": "0",
            "min": "0",
            "max": "7",
            "mean": "1",
            "stdev": "1"
        },
        {
            "name": "X5",
            "index": "4",
            "type": "numeric",
            "distinct": "700",
            "missing": "0",
            "min": "-3",
            "max": "10",
            "mean": "1",
            "stdev": "1"
        },
        {
            "name": "X6",
            "index": "5",
            "type": "numeric",
            "distinct": "5785",
            "missing": "0",
            "min": "0",
            "max": "5",
            "mean": "2",
            "stdev": "1"
        },
        {
            "name": "X7",
            "index": "6",
            "type": "numeric",
            "distinct": "207",
            "missing": "0",
            "min": "0",
            "max": "9",
            "mean": "8",
            "stdev": "1"
        },
        {
            "name": "X8",
            "index": "7",
            "type": "numeric",
            "distinct": "185",
            "missing": "0",
            "min": "0",
            "max": "13",
            "mean": "11",
            "stdev": "1"
        },
        {
            "name": "X9",
            "index": "8",
            "type": "numeric",
            "distinct": "255",
            "missing": "0",
            "min": "0",
            "max": "7",
            "mean": "4",
            "stdev": "1"
        },
        {
            "name": "X10",
            "index": "9",
            "type": "numeric",
            "distinct": "5827",
            "missing": "0",
            "min": "0",
            "max": "5",
            "mean": "1",
            "stdev": "1"
        }
    ],
    "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
}