{
    "data_id": "697",
    "name": "Weather",
    "exact_name": "Weather",
    "version": 14,
    "version_label": "example",
    "description": "The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some unspecified game. In general, instances in a dataset are characterized by the values of features, or attributes, that measure different aspects of the instance. In this case there are four attributes: outlook, temperature, humidity, and windy. The outcome is whether to play or not.",
    "format": "arff",
    "uploader": "Test Test",
    "uploader_id": 3229,
    "visibility": "public",
    "creator": "\"I. H. Witten, E. Frank, M. A. Hall, and ITPro\"",
    "contributor": null,
    "date": "2024-10-17 16:21:15",
    "update_comment": null,
    "last_update": "2024-10-17 16:21:15",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/test.openml.org\/data\/download\/6208\/dataset",
    "default_target_attribute": "play",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Weather",
            "The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some unspecified game. In general, instances in a dataset are characterized by the values of features, or attributes, that measure different aspects of the instance. In this case there are four attributes: outlook, temperature, humidity, and windy. The outcome is whether to play or not. "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 14,
        "NumberOfFeatures": 5,
        "NumberOfClasses": 2,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 2,
        "NumberOfSymbolicFeatures": 3,
        "AutoCorrelation": 0.5384615384615384,
        "CfsSubsetEval_DecisionStumpAUC": 0.3444444444444445,
        "CfsSubsetEval_DecisionStumpErrRate": 0.42857142857142855,
        "CfsSubsetEval_DecisionStumpKappa": -0.13513513513513528,
        "CfsSubsetEval_NaiveBayesAUC": 0.3444444444444445,
        "CfsSubsetEval_NaiveBayesErrRate": 0.42857142857142855,
        "CfsSubsetEval_NaiveBayesKappa": -0.13513513513513528,
        "CfsSubsetEval_kNN1NAUC": 0.3444444444444445,
        "CfsSubsetEval_kNN1NErrRate": 0.42857142857142855,
        "CfsSubsetEval_kNN1NKappa": -0.13513513513513528,
        "ClassEntropy": 0.9402859586706309,
        "DecisionStumpAUC": 0.29999999999999993,
        "DecisionStumpErrRate": 0.5714285714285714,
        "DecisionStumpKappa": -0.36585365853658536,
        "Dimensionality": 0.35714285714285715,
        "EquivalentNumberOfAtts": 7.6213709864523445,
        "J48.00001.AUC": 0.29999999999999993,
        "J48.00001.ErrRate": 0.5714285714285714,
        "J48.00001.Kappa": -0.36585365853658536,
        "J48.0001.AUC": 0.29999999999999993,
        "J48.0001.ErrRate": 0.5714285714285714,
        "J48.0001.Kappa": -0.36585365853658536,
        "J48.001.AUC": 0.29999999999999993,
        "J48.001.ErrRate": 0.5714285714285714,
        "J48.001.Kappa": -0.36585365853658536,
        "MajorityClassPercentage": 64.28571428571429,
        "MajorityClassSize": 9,
        "MaxAttributeEntropy": 1.5774062828523452,
        "MaxKurtosisOfNumericAtts": -0.8795125663723047,
        "MaxMeansOfNumericAtts": 81.64285714285714,
        "MaxMutualInformation": 0.24674981977444,
        "MaxNominalAttDistinctValues": 3,
        "MaxSkewnessOfNumericAtts": 0.36899864486966527,
        "MaxStdDevOfNumericAtts": 10.285218242007035,
        "MeanAttributeEntropy": 0.7887031414261726,
        "MeanKurtosisOfNumericAtts": -1.12426580829556,
        "MeanMeansOfNumericAtts": 77.60714285714286,
        "MeanMutualInformation": 0.12337490988722,
        "MeanNoiseToSignalRatio": 5.3927352988313855,
        "MeanNominalAttDistinctValues": 2,
        "MeanSkewnessOfNumericAtts": 0.09389543597068546,
        "MeanStdDevOfNumericAtts": 8.428442850318392,
        "MinAttributeEntropy": -0,
        "MinKurtosisOfNumericAtts": -1.3690190502188155,
        "MinMeansOfNumericAtts": 73.57142857142857,
        "MinMutualInformation": 0,
        "MinNominalAttDistinctValues": 1,
        "MinSkewnessOfNumericAtts": -0.18120777292829435,
        "MinStdDevOfNumericAtts": 6.57166745862975,
        "MinorityClassPercentage": 35.714285714285715,
        "MinorityClassSize": 5,
        "NaiveBayesAUC": 0.3333333333333333,
        "NaiveBayesErrRate": 0.42857142857142855,
        "NaiveBayesKappa": -0.02439024390243905,
        "NumberOfBinaryFeatures": 2,
        "PercentageOfBinaryFeatures": 40,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfMissingValues": 0,
        "PercentageOfNumericFeatures": 40,
        "PercentageOfSymbolicFeatures": 60,
        "Quartile1AttributeEntropy": -0,
        "Quartile1KurtosisOfNumericAtts": -1.3690190502188155,
        "Quartile1MeansOfNumericAtts": 73.57142857142857,
        "Quartile1MutualInformation": 0,
        "Quartile1SkewnessOfNumericAtts": -0.18120777292829435,
        "Quartile1StdDevOfNumericAtts": 6.57166745862975,
        "Quartile2AttributeEntropy": 0.7887031414261726,
        "Quartile2KurtosisOfNumericAtts": -1.12426580829556,
        "Quartile2MeansOfNumericAtts": 77.60714285714286,
        "Quartile2MutualInformation": 0.12337490988722,
        "Quartile2SkewnessOfNumericAtts": 0.09389543597068548,
        "Quartile2StdDevOfNumericAtts": 8.428442850318392,
        "Quartile3AttributeEntropy": 1.5774062828523452,
        "Quartile3KurtosisOfNumericAtts": -0.8795125663723047,
        "Quartile3MeansOfNumericAtts": 81.64285714285714,
        "Quartile3MutualInformation": 0.24674981977444,
        "Quartile3SkewnessOfNumericAtts": 0.36899864486966527,
        "Quartile3StdDevOfNumericAtts": 10.285218242007035,
        "REPTreeDepth1AUC": 0.4222222222222222,
        "REPTreeDepth1ErrRate": 0.35714285714285715,
        "REPTreeDepth1Kappa": 0,
        "REPTreeDepth2AUC": 0.4222222222222222,
        "REPTreeDepth2ErrRate": 0.35714285714285715,
        "REPTreeDepth2Kappa": 0,
        "REPTreeDepth3AUC": 0.4222222222222222,
        "REPTreeDepth3ErrRate": 0.35714285714285715,
        "REPTreeDepth3Kappa": 0,
        "RandomTreeDepth1AUC": 0.3333333333333333,
        "RandomTreeDepth1ErrRate": 0.5714285714285714,
        "RandomTreeDepth1Kappa": -0.36585365853658536,
        "RandomTreeDepth2AUC": 0.3333333333333333,
        "RandomTreeDepth2ErrRate": 0.5714285714285714,
        "RandomTreeDepth2Kappa": -0.36585365853658536,
        "RandomTreeDepth3AUC": 0.3333333333333333,
        "RandomTreeDepth3ErrRate": 0.5714285714285714,
        "RandomTreeDepth3Kappa": -0.36585365853658536,
        "StdvNominalAttDistinctValues": 1,
        "kNN1NAUC": 0.688888888888889,
        "kNN1NErrRate": 0.2857142857142857,
        "kNN1NKappa": 0.37777777777777777
    },
    "tags": [],
    "features": [
        {
            "name": "play",
            "index": "4",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "target": "1",
            "distr": [
                [
                    "no",
                    "yes"
                ],
                [
                    [
                        "5",
                        "0"
                    ],
                    [
                        "0",
                        "9"
                    ]
                ]
            ]
        },
        {
            "name": "outlook",
            "index": "0",
            "type": "nominal",
            "distinct": "3",
            "missing": "0",
            "distr": [
                [
                    "overcast",
                    "rainy",
                    "sunny"
                ],
                [
                    [
                        "0",
                        "4"
                    ],
                    [
                        "2",
                        "3"
                    ],
                    [
                        "3",
                        "2"
                    ]
                ]
            ]
        },
        {
            "name": "temperature",
            "index": "1",
            "type": "numeric",
            "distinct": "12",
            "missing": "0",
            "min": "64",
            "max": "85",
            "mean": "74",
            "stdev": "7"
        },
        {
            "name": "humidity",
            "index": "2",
            "type": "numeric",
            "distinct": "10",
            "missing": "0",
            "min": "65",
            "max": "96",
            "mean": "82",
            "stdev": "10"
        },
        {
            "name": "windy",
            "index": "3",
            "type": "nominal",
            "distinct": "1",
            "missing": "0",
            "distr": [
                [
                    "True",
                    "False"
                ],
                [
                    [
                        "5",
                        "9"
                    ],
                    [
                        "0",
                        "0"
                    ]
                ]
            ]
        }
    ],
    "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
}