{
    "data_id": "43",
    "name": "haberman",
    "exact_name": "haberman",
    "version": 1,
    "version_label": "1",
    "description": "**Author**:   \r\n**Source**: Unknown -   \r\n**Please cite**:   \r\n\r\n1. Title: Haberman's Survival Data\r\n \r\n 2. Sources:\r\n    (a) Donor:   Tjen-Sien Lim (limt@stat.wisc.edu)\r\n    (b) Date:    March 4, 1999\r\n \r\n 3. Past Usage:\r\n    1. Haberman, S. J. (1976). Generalized Residuals for Log-Linear\r\n       Models, Proceedings of the 9th International Biometrics\r\n       Conference, Boston, pp. 104-122.\r\n    2. Landwehr, J. M., Pregibon, D., and Shoemaker, A. C. (1984),\r\n       Graphical Models for Assessing Logistic Regression Models (with\r\n       discussion), Journal of the American Statistical Association 79:\r\n       61-83.\r\n    3. Lo, W.-D. (1993). Logistic Regression Trees, PhD thesis,\r\n       Department of Statistics, University of Wisconsin, Madison, WI.\r\n \r\n 4. Relevant Information:\r\n    The dataset contains cases from a study that was conducted between\r\n    1958 and 1970 at the University of Chicago's Billings Hospital on\r\n    the survival of patients who had undergone surgery for breast\r\n    cancer.\r\n \r\n 5. Number of Instances: 306\r\n \r\n 6. Number of Attributes: 4 (including the class attribute)\r\n \r\n 7. Attribute Information:\r\n    1. Age of patient at time of operation (numerical)\r\n    2. Patient's year of operation (year - 1900, numerical)\r\n    3. Number of positive axillary nodes detected (numerical)\r\n    4. Survival status (class attribute)\r\n          1 = the patient survived 5 years or longer\r\n          2 = the patient died within 5 year\r\n \r\n 8. Missing Attribute Values: None\r\n\r\n Information about the dataset\r\n CLASSTYPE: nominal\r\n CLASSINDEX: last",
    "format": "ARFF",
    "uploader": "Jan van Rijn",
    "uploader_id": 1,
    "visibility": "public",
    "creator": "University of Chicago's Billings Hospital",
    "contributor": null,
    "date": "2014-04-06 23:22:34",
    "update_comment": null,
    "last_update": "2014-04-06 23:22:34",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/43\/dataset_43_haberman.arff",
    "default_target_attribute": "Survival_status",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 3243,
    "suggest": {
        "input": [
            "haberman",
            "1. Title: Haberman's Survival Data 2. Sources: (a) Donor: Tjen-Sien Lim (limt@stat.wisc.edu) (b) Date: March 4, 1999 3. Past Usage: 1. Haberman, S. J. (1976). Generalized Residuals for Log-Linear Models, Proceedings of the 9th International Biometrics Conference, Boston, pp. 104-122. 2. Landwehr, J. M., Pregibon, D., and Shoemaker, A. C. (1984), Graphical Models for Assessing Logistic Regression Models (with discussion), Journal of the American Statistical Association 79: 61-83. 3. Lo, W.-D. (19 "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 306,
        "NumberOfFeatures": 4,
        "NumberOfClasses": 2,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 2,
        "NumberOfSymbolicFeatures": 2,
        "Quartile2AttributeEntropy": 3.526626058053382,
        "REPTreeDepth2ErrRate": 0.28431372549019607,
        "CfsSubsetEval_kNN1NKappa": 0,
        "kNN1NErrRate": 0.3431372549019608,
        "MajorityClassPercentage": 73.52941176470588,
        "MeanStdDevOfNumericAtts": 8.996552927775925,
        "Quartile2KurtosisOfNumericAtts": 5.570741938126848,
        "REPTreeDepth2Kappa": 0.0172757475083057,
        "ClassEntropy": 0.833764907210665,
        "kNN1NKappa": 0.08602150537634402,
        "MajorityClassSize": 225,
        "MinAttributeEntropy": 3.526626058053382,
        "Quartile2MeansOfNumericAtts": 28.24183006535949,
        "REPTreeDepth3AUC": 0.5160219478737997,
        "DecisionStumpAUC": 0.6604938271604939,
        "MaxAttributeEntropy": 3.526626058053382,
        "MinKurtosisOfNumericAtts": -0.5893930383959516,
        "Quartile2MutualInformation": 0.03592504183782,
        "REPTreeDepth3ErrRate": 0.28431372549019607,
        "DecisionStumpErrRate": 0.26143790849673204,
        "MaxKurtosisOfNumericAtts": 11.730876914649649,
        "MinMeansOfNumericAtts": 4.026143790849673,
        "Quartile2SkewnessOfNumericAtts": 1.5651639804604582,
        "REPTreeDepth3Kappa": 0.0172757475083057,
        "DecisionStumpKappa": 0.19478981645944363,
        "MaxMeansOfNumericAtts": 52.45751633986931,
        "MinMutualInformation": 0.03592504183782,
        "PercentageOfBinaryFeatures": 25,
        "Quartile2StdDevOfNumericAtts": 8.996552927775925,
        "RandomTreeDepth1AUC": 0.5319341563786009,
        "Dimensionality": 0.013071895424836602,
        "MaxMutualInformation": 0.03592504183782,
        "MinNominalAttDistinctValues": 2,
        "PercentageOfInstancesWithMissingValues": 0,
        "Quartile3AttributeEntropy": 3.526626058053382,
        "RandomTreeDepth1ErrRate": 0.3562091503267974,
        "EquivalentNumberOfAtts": 23.208460298379418,
        "MaxNominalAttDistinctValues": 12,
        "MinSkewnessOfNumericAtts": 0.1465050564900938,
        "PercentageOfMissingValues": 0,
        "Quartile3KurtosisOfNumericAtts": 11.730876914649649,
        "AutoCorrelation": 0.7868852459016393,
        "RandomTreeDepth1Kappa": 0.07396301849075466,
        "J48.00001.AUC": 0.5385185185185185,
        "MaxSkewnessOfNumericAtts": 2.9838229044308227,
        "MinStdDevOfNumericAtts": 7.189653506248565,
        "PercentageOfNumericFeatures": 50,
        "Quartile3MeansOfNumericAtts": 52.45751633986931,
        "CfsSubsetEval_DecisionStumpAUC": 0.4958024691358025,
        "RandomTreeDepth2AUC": 0.5319341563786009,
        "J48.00001.ErrRate": 0.2679738562091503,
        "MaxStdDevOfNumericAtts": 10.803452349303285,
        "MinorityClassPercentage": 26.47058823529412,
        "PercentageOfSymbolicFeatures": 50,
        "Quartile3MutualInformation": 0.03592504183782,
        "CfsSubsetEval_DecisionStumpErrRate": 0.2647058823529412,
        "RandomTreeDepth2ErrRate": 0.3562091503267974,
        "J48.00001.Kappa": 0.06880427521710084,
        "MeanAttributeEntropy": 3.526626058053382,
        "MinorityClassSize": 81,
        "Quartile1AttributeEntropy": 3.526626058053382,
        "Quartile3SkewnessOfNumericAtts": 2.9838229044308227,
        "CfsSubsetEval_DecisionStumpKappa": 0,
        "RandomTreeDepth2Kappa": 0.07396301849075466,
        "J48.0001.AUC": 0.5385185185185185,
        "MeanKurtosisOfNumericAtts": 5.570741938126849,
        "NaiveBayesAUC": 0.6978052126200275,
        "Quartile1KurtosisOfNumericAtts": -0.5893930383959516,
        "Quartile3StdDevOfNumericAtts": 10.803452349303285,
        "CfsSubsetEval_NaiveBayesAUC": 0.4958024691358025,
        "RandomTreeDepth3AUC": 0.5319341563786009,
        "J48.0001.ErrRate": 0.2679738562091503,
        "MeanMeansOfNumericAtts": 28.24183006535949,
        "NaiveBayesErrRate": 0.24836601307189543,
        "Quartile1MeansOfNumericAtts": 4.026143790849673,
        "REPTreeDepth1AUC": 0.5160219478737997,
        "CfsSubsetEval_NaiveBayesErrRate": 0.2647058823529412,
        "RandomTreeDepth3ErrRate": 0.3562091503267974,
        "J48.0001.Kappa": 0.06880427521710084,
        "MeanMutualInformation": 0.03592504183782,
        "NaiveBayesKappa": 0.19701678060907382,
        "Quartile1MutualInformation": 0.03592504183782,
        "REPTreeDepth1ErrRate": 0.28431372549019607,
        "CfsSubsetEval_NaiveBayesKappa": 0,
        "RandomTreeDepth3Kappa": 0.07396301849075466,
        "J48.001.AUC": 0.5385185185185185,
        "MeanNoiseToSignalRatio": 97.16623384807683,
        "NumberOfBinaryFeatures": 1,
        "Quartile1SkewnessOfNumericAtts": 0.1465050564900938,
        "REPTreeDepth1Kappa": 0.0172757475083057,
        "CfsSubsetEval_kNN1NAUC": 0.4958024691358025,
        "StdvNominalAttDistinctValues": 7.0710678118654755,
        "J48.001.ErrRate": 0.2679738562091503,
        "MeanNominalAttDistinctValues": 7,
        "Quartile1StdDevOfNumericAtts": 7.189653506248565,
        "REPTreeDepth2AUC": 0.5160219478737997,
        "CfsSubsetEval_kNN1NErrRate": 0.2647058823529412,
        "kNN1NAUC": 0.563758573388203,
        "J48.001.Kappa": 0.06880427521710084,
        "MeanSkewnessOfNumericAtts": 1.5651639804604582
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Medicine"
        },
        {
            "uploader": "1",
            "tag": "mythbusting_1"
        },
        {
            "uploader": "38960",
            "tag": "Statistics"
        },
        {
            "uploader": "2",
            "tag": "study_1"
        },
        {
            "uploader": "3886",
            "tag": "study_123"
        },
        {
            "uploader": "4209",
            "tag": "study_127"
        },
        {
            "uploader": "939",
            "tag": "study_15"
        },
        {
            "uploader": "939",
            "tag": "study_20"
        },
        {
            "uploader": "348",
            "tag": "study_29"
        },
        {
            "uploader": "348",
            "tag": "study_30"
        },
        {
            "uploader": "1",
            "tag": "study_41"
        },
        {
            "uploader": "64",
            "tag": "study_50"
        },
        {
            "uploader": "64",
            "tag": "study_52"
        },
        {
            "uploader": "64",
            "tag": "study_7"
        },
        {
            "uploader": "4209",
            "tag": "study_88"
        },
        {
            "uploader": "1",
            "tag": "uci"
        }
    ],
    "features": [
        {
            "name": "Survival_status",
            "index": "3",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "target": "1",
            "distr": [
                [
                    "1",
                    "2"
                ],
                [
                    [
                        "225",
                        "0"
                    ],
                    [
                        "0",
                        "81"
                    ]
                ]
            ]
        },
        {
            "name": "Age_of_patient_at_time_of_operation",
            "index": "0",
            "type": "numeric",
            "distinct": "49",
            "missing": "0",
            "min": "30",
            "max": "83",
            "mean": "52",
            "stdev": "11"
        },
        {
            "name": "Patients_year_of_operation",
            "index": "1",
            "type": "nominal",
            "distinct": "12",
            "missing": "0",
            "distr": [
                [
                    "58",
                    "59",
                    "60",
                    "61",
                    "62",
                    "63",
                    "64",
                    "65",
                    "66",
                    "67",
                    "68",
                    "69"
                ],
                [
                    [
                        "24",
                        "12"
                    ],
                    [
                        "18",
                        "9"
                    ],
                    [
                        "24",
                        "4"
                    ],
                    [
                        "23",
                        "3"
                    ],
                    [
                        "16",
                        "7"
                    ],
                    [
                        "22",
                        "8"
                    ],
                    [
                        "23",
                        "8"
                    ],
                    [
                        "15",
                        "13"
                    ],
                    [
                        "22",
                        "6"
                    ],
                    [
                        "21",
                        "4"
                    ],
                    [
                        "10",
                        "3"
                    ],
                    [
                        "7",
                        "4"
                    ]
                ]
            ]
        },
        {
            "name": "Number_of_positive_axillary_nodes_detected",
            "index": "2",
            "type": "numeric",
            "distinct": "31",
            "missing": "0",
            "min": "0",
            "max": "52",
            "mean": "4",
            "stdev": "7"
        }
    ],
    "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
}