{
    "data_id": "43812",
    "name": "Performance-Prediction",
    "exact_name": "Performance-Prediction",
    "version": 1,
    "version_label": "v1.0",
    "description": "Content\nThe Dataset contains the summary of each player.\non the basis of the summary of each player you have to predict the target variable\nTarget Variable:\n1-Signifies whether a player has a career of 5 years or more.\n0-Signifies the career of the player is shorter than 5 years.\nSome features  other than target variable:\nGamesPlayed\nPointsPerGame\n3PointMade  etc.\nInspiration\n-This dataset is helpful in finding the features which are helpful in predicting that how long a player can play.\n-Use EDA to get the insight information about the features.\n-Create a classification model to predict the target variable.",
    "format": "arff",
    "uploader": "Elif Ceren Gok",
    "uploader_id": 30125,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 15:29:19",
    "update_comment": null,
    "last_update": "2022-03-24 15:29:19",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102637\/dataset",
    "default_target_attribute": "Target",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Performance-Prediction",
            "Content The Dataset contains the summary of each player. on the basis of the summary of each player you have to predict the target variable Target Variable: 1-Signifies whether a player has a career of 5 years or more. 0-Signifies the career of the player is shorter than 5 years. Some features other than target variable: GamesPlayed PointsPerGame 3PointMade etc. Inspiration -This dataset is helpful in finding the features which are helpful in predicting that how long a player can play. -Use EDA  "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 1340,
        "NumberOfFeatures": 21,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 11,
        "NumberOfInstancesWithMissingValues": 11,
        "NumberOfNumericFeatures": 20,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.015671641791044775,
        "PercentageOfNumericFeatures": 95.23809523809523,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0.8208955223880596,
        "AutoCorrelation": 0.5705750560119492,
        "PercentageOfMissingValues": 0.03909026297085999
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    "tags": [
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        },
        {
            "uploader": "38960",
            "tag": "Medicine"
        }
    ],
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            "max": "82",
            "mean": "60",
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            "type": "numeric",
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            "missing": "0",
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            "max": "41",
            "mean": "18",
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        },
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            "missing": "0",
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            "mean": "7",
            "stdev": "4"
        },
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            "type": "numeric",
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            "missing": "0",
            "min": "0",
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            "mean": "3",
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        },
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            "name": "FieldGoalsAttempt",
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            "type": "numeric",
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            "missing": "0",
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            "max": "20",
            "mean": "6",
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        },
        {
            "name": "FieldGoalPercent",
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            "type": "numeric",
            "distinct": "284",
            "missing": "0",
            "min": "24",
            "max": "74",
            "mean": "44",
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            "type": "numeric",
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            "missing": "0",
            "min": "0",
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            "missing": "11",
            "min": "0",
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        },
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            "name": "FreeThrowMade",
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            "type": "numeric",
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            "missing": "0",
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            "mean": "1",
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        },
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        },
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            "missing": "0",
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            "name": "Turnovers",
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}