{
    "data_id": "45047",
    "name": "Airlines_DepDelay_1M",
    "exact_name": "Airlines_DepDelay_1M",
    "version": 6,
    "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 \"regression on both numerical and categorical features\" benchmark. \n \n  Original link: https:\/\/openml.org\/d\/42721 \n \n Original description: \n \n**Author**: Bureau of Transportation Statistics, Airline Service Quality Performance  \n**Source**: [original](http:\/\/www.transtats.bts.gov\/) - 2013  \n**Please cite**:   \n\nAirlines Departure Delay Prediction (Regression).\nOriginal data can be found at: http:\/\/www.transtats.bts.gov\n\nThis is a processed version of the original data, designed to predict departure delay (in seconds).  \n\nA CSV of the raw data (years 1987-2013) can be be found [here](https:\/\/h2o-airlines-unpacked.s3.amazonaws.com\/allyears.1987.2013.csv). This is the first 1 million rows (and a subset of the columns) of this CSV file, in ARFF format.",
    "format": "arff",
    "uploader": "Leo Grin",
    "uploader_id": 26324,
    "visibility": "public",
    "creator": null,
    "contributor": "\"Leo Grin\"",
    "date": "2023-01-11 18:15:46",
    "update_comment": null,
    "last_update": "2023-01-11 18:15:46",
    "licence": "CC0",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22111945\/dataset",
    "kaggle_url": null,
    "default_target_attribute": "DepDelay",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Airlines_DepDelay_1M",
            "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"regression on both numerical and categorical features\" benchmark. Original link: https:\/\/openml.org\/d\/42721 Original description: Airlines Departure Delay Prediction (Regression). Original data can be found at: http:\/\/www.transtats.bts.gov This is a processed version of the original data, designed to predict departure delay (in seconds). A CSV of the  "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 1000000,
        "NumberOfFeatures": 6,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 6,
        "NumberOfSymbolicFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfMissingValues": 0,
        "AutoCorrelation": -0.9784510419232934,
        "PercentageOfNumericFeatures": 100,
        "Dimensionality": 6.0e-6,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassPercentage": null,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0
    },
    "tags": [],
    "features": [
        {
            "name": "DepDelay",
            "index": "5",
            "type": "numeric",
            "distinct": "629",
            "missing": "0",
            "target": "1",
            "min": "-7",
            "max": "8",
            "mean": "0",
            "stdev": "2"
        },
        {
            "name": "Month",
            "index": "0",
            "type": "numeric",
            "distinct": "12",
            "missing": "0",
            "min": "1",
            "max": "12",
            "mean": "6",
            "stdev": "3"
        },
        {
            "name": "DayofMonth",
            "index": "1",
            "type": "numeric",
            "distinct": "31",
            "missing": "0",
            "min": "1",
            "max": "31",
            "mean": "16",
            "stdev": "9"
        },
        {
            "name": "CRSDepTime",
            "index": "2",
            "type": "numeric",
            "distinct": "1343",
            "missing": "0",
            "min": "0",
            "max": "2400",
            "mean": "1333",
            "stdev": "474"
        },
        {
            "name": "CRSArrTime",
            "index": "3",
            "type": "numeric",
            "distinct": "1429",
            "missing": "0",
            "min": "0",
            "max": "2400",
            "mean": "1492",
            "stdev": "491"
        },
        {
            "name": "Distance",
            "index": "4",
            "type": "numeric",
            "distinct": "1735",
            "missing": "0",
            "min": "0",
            "max": "4983",
            "mean": "712",
            "stdev": "557"
        }
    ],
    "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
}