{
    "data_id": "44998",
    "name": "Airlines_DepDelay_1M",
    "exact_name": "Airlines_DepDelay_1M",
    "version": 5,
    "version_label": null,
    "description": "**Data Description**\n\nThe dataset contains information about departure delays of airlines from years 1987 - 2013.\n\nThis is a subset of the 10M version (which is once again a subset of the original dataset).\n\nUnique carrier is the airline: https:\/\/aspm.faa.gov\/aspmhelp\/index\/ASQP__Carrier_Codes_and_Names.html\n\nPreprocessing on time features of the data has been performed.\n\n**Attribute Description**\n\n1. *DepDelay* - target feature, how long the delay was\n2. *Month*\n3. *DayofMonth* - 1-31\n4. *DayOfWeek* - 1 (Monday) - 7 (Sunday)\n5. *UniqueCarrier* - unique carrier code\n6. *Origin* - origin airport code\n7. *Dest* - destination airport code\n8. *Distance* - distance between the airports in miles\n9. *CRSDepTime_hour*  - scheduled departure time, hour\n10. *CRSDepTime_minute* - scheduled departure time, minutes\n11. *CRSArrTime_hour* - scheduled arrive time, hour\n12. *CRSArrTime_minute* - schedule arrive time, minutes",
    "format": "arff",
    "uploader": "Sebastian Fischer",
    "uploader_id": 30127,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2023-01-02 10:31:28",
    "update_comment": null,
    "last_update": "2023-01-02 10:31:28",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22111880\/file71fb3c59ba0d.arff",
    "kaggle_url": null,
    "default_target_attribute": "DepDelay",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Airlines_DepDelay_1M",
            "The dataset contains information about departure delays of airlines from years 1987 - 2013. This is a subset of the 10M version (which is once again a subset of the original dataset). Unique carrier is the airline: https:\/\/aspm.faa.gov\/aspmhelp\/index\/ASQP__Carrier_Codes_and_Names.html Preprocessing on time features of the data has been performed. 1. *DepDelay* - target feature, how long the delay was 2. *Month* 3. *DayofMonth* - 1-31 4. *DayOfWeek* - 1 (Monday) - 7 (Sunday) 5. *UniqueCarrier* -  "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 1000000,
        "NumberOfFeatures": 12,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 6,
        "NumberOfSymbolicFeatures": 6,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfMissingValues": 0,
        "AutoCorrelation": -11.604851604851605,
        "PercentageOfNumericFeatures": 50,
        "Dimensionality": 1.2e-5,
        "PercentageOfSymbolicFeatures": 50,
        "MajorityClassPercentage": null,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0
    },
    "tags": [],
    "features": [
        {
            "name": "DepDelay",
            "index": "0",
            "type": "numeric",
            "distinct": "561",
            "missing": "0",
            "target": "1",
            "min": "-898",
            "max": "1438",
            "mean": "7",
            "stdev": "23"
        },
        {
            "name": "Month",
            "index": "1",
            "type": "nominal",
            "distinct": "12",
            "missing": "0",
            "distr": []
        },
        {
            "name": "DayOfWeek",
            "index": "2",
            "type": "nominal",
            "distinct": "7",
            "missing": "0",
            "distr": []
        },
        {
            "name": "UniqueCarrier",
            "index": "3",
            "type": "nominal",
            "distinct": "14",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Origin",
            "index": "4",
            "type": "nominal",
            "distinct": "245",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Dest",
            "index": "5",
            "type": "nominal",
            "distinct": "244",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Distance",
            "index": "6",
            "type": "numeric",
            "distinct": "1145",
            "missing": "0",
            "min": "0",
            "max": "4983",
            "mean": "616",
            "stdev": "512"
        },
        {
            "name": "DayOfMonth",
            "index": "7",
            "type": "nominal",
            "distinct": "31",
            "missing": "0",
            "distr": []
        },
        {
            "name": "CRSDepTime_hour",
            "index": "8",
            "type": "numeric",
            "distinct": "24",
            "missing": "0",
            "min": "0",
            "max": "23",
            "mean": "13",
            "stdev": "5"
        },
        {
            "name": "CRSDepTime_minute",
            "index": "9",
            "type": "numeric",
            "distinct": "60",
            "missing": "0",
            "min": "0",
            "max": "59",
            "mean": "27",
            "stdev": "18"
        },
        {
            "name": "CRSArrTime_hour",
            "index": "10",
            "type": "numeric",
            "distinct": "25",
            "missing": "0",
            "min": "0",
            "max": "24",
            "mean": "15",
            "stdev": "5"
        },
        {
            "name": "CRSArrTime_minute",
            "index": "11",
            "type": "numeric",
            "distinct": "60",
            "missing": "0",
            "min": "0",
            "max": "59",
            "mean": "29",
            "stdev": "18"
        }
    ],
    "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
}