{
    "data_id": "45402",
    "name": "space_ga",
    "exact_name": "space_ga",
    "version": 5,
    "version_label": null,
    "description": "**Data Description**\n\nThe dataset contains 3,107 observations on U.S. county votes cast in the 1980 presidential election.\n\nGiven population, education levels in the population, number of owned houses, incomes and coordinates, the goal is to predict the number of votes per population (logarithmic).\n\n**Attribute Description**\n\n1. *ln_votes_pop* - logarithm of total number of votes - logarithm of populaiton (ln(votes\/pop)), target feature\n2. *pop* - the population in each county of 18 years of age or older\n3. *education* - the population in each county with a 12th grade or higher education\n4. *houses* - the number of owner-occupied housing units\n5. *income* - the aggregate income\n6. *xcoord* - X spatial coordinate of the county\n7. *ycoord* - Y spatial coordinate of the county",
    "format": "arff",
    "uploader": "Sebastian Fischer",
    "uploader_id": 30127,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2023-05-26 10:50:05",
    "update_comment": null,
    "last_update": "2023-05-26 10:50:05",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22116370\/file1080748b75709.arff",
    "default_target_attribute": "ln_votes_pop",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "space_ga",
            "The dataset contains 3,107 observations on U.S. county votes cast in the 1980 presidential election. Given population, education levels in the population, number of owned houses, incomes and coordinates, the goal is to predict the number of votes per population (logarithmic). 1. *ln_votes_pop* - logarithm of total number of votes - logarithm of populaiton (ln(votes\/pop)), target feature 2. *pop* - the population in each county of 18 years of age or older 3. *education* - the population in each c "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 3107,
        "NumberOfFeatures": 7,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 7,
        "NumberOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "AutoCorrelation": 0.859022668137316,
        "PercentageOfMissingValues": 0,
        "Dimensionality": 0.002252977148374638,
        "PercentageOfNumericFeatures": 100,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0
    },
    "tags": [
        {
            "tag": "Machine Learning",
            "uploader": "38960"
        },
        {
            "tag": "study_353",
            "uploader": "0"
        }
    ],
    "features": [
        {
            "name": "ln_votes_pop",
            "index": "0",
            "type": "numeric",
            "distinct": "3105",
            "missing": "0",
            "target": "1",
            "min": "-3",
            "max": "0",
            "mean": "-1",
            "stdev": "0"
        },
        {
            "name": "pop",
            "index": "1",
            "type": "numeric",
            "distinct": "3001",
            "missing": "0",
            "min": "4",
            "max": "16",
            "mean": "10",
            "stdev": "1"
        },
        {
            "name": "education",
            "index": "2",
            "type": "numeric",
            "distinct": "2914",
            "missing": "0",
            "min": "4",
            "max": "15",
            "mean": "9",
            "stdev": "1"
        },
        {
            "name": "houses",
            "index": "3",
            "type": "numeric",
            "distinct": "2832",
            "missing": "0",
            "min": "3",
            "max": "14",
            "mean": "9",
            "stdev": "1"
        },
        {
            "name": "income",
            "index": "4",
            "type": "numeric",
            "distinct": "3097",
            "missing": "0",
            "min": "8",
            "max": "18",
            "mean": "12",
            "stdev": "1"
        },
        {
            "name": "xcoord",
            "index": "5",
            "type": "numeric",
            "distinct": "3107",
            "missing": "0",
            "min": "-124229902",
            "max": "0",
            "mean": "-91638847",
            "stdev": "11475690"
        },
        {
            "name": "ycoord",
            "index": "6",
            "type": "numeric",
            "distinct": "3106",
            "missing": "0",
            "min": "25117067",
            "max": "48833747",
            "mean": "38281092",
            "stdev": "4838502"
        }
    ],
    "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
}