DEVELOPMENT...      {
    "data_id": "555",
    "name": "analcatdata_apnea3",
    "exact_name": "analcatdata_apnea3",
    "version": 1,
    "version_label": null,
    "description": "**Author**:   \n**Source**: Unknown - Date unknown  \n**Please cite**:   \n\nanalcatdata    A collection of data sets used in the book \"Analyzing Categorical Data,\"\nby Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission\nconsists of a zip file containing two versions of each of 84 data sets,\nplus this README file. Each data set is given in comma-delimited ASCII\n(.csv) form, and Microsoft Excel (.xls) form.\n\nNOTICE: These data sets may be used freely for scientific, educational and\/or\nnoncommercial purposes, provided suitable acknowledgment is given (by citing\nthe above-named reference).\n\nFurther details concerning the book, including information on statistical software\n(including sample S-PLUS\/R and SAS code), are available at the web site\n\nhttp:\/\/www.stern.nyu.edu\/~jsimonof\/AnalCatData\n\n\nInformation about the dataset\nCLASSTYPE: numeric\nCLASSINDEX: last\n\n\nNote: Quotes, Single-Quotes and Backslashes were removed, Blanks replaced\nwith Underscores",
    "format": "ARFF",
    "uploader": "unknown",
    "uploader_id": 2,
    "visibility": "public",
    "creator": "Jeffrey S. Simonoff",
    "contributor": null,
    "date": "2014-10-03 21:07:11",
    "update_comment": null,
    "last_update": "2014-10-03 21:07:11",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/52733\/analcatdata_apnea3.arff",
    "default_target_attribute": "Count",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 2,
    "suggest": {
        "input": [
            "analcatdata_apnea3",
            "analcatdata A collection of data sets used in the book \"Analyzing Categorical Data,\" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two versions of each of 84 data sets, plus this README file. Each data set is given in comma-delimited ASCII (.csv) form, and Microsoft Excel (.xls) form. NOTICE: These data sets may be used freely for scientific, educational and\/or noncommercial purposes, provided suitable acknowledgment is given (by citing "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 450,
        "NumberOfFeatures": 4,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 2,
        "NumberOfSymbolicFeatures": 2,
        "AutoCorrelation": -1456.7661469933184,
        "CfsSubsetEval_DecisionStumpAUC": null,
        "CfsSubsetEval_DecisionStumpErrRate": null,
        "CfsSubsetEval_DecisionStumpKappa": null,
        "CfsSubsetEval_NaiveBayesAUC": null,
        "CfsSubsetEval_NaiveBayesErrRate": null,
        "CfsSubsetEval_NaiveBayesKappa": null,
        "CfsSubsetEval_kNN1NAUC": null,
        "CfsSubsetEval_kNN1NErrRate": null,
        "CfsSubsetEval_kNN1NKappa": null,
        "ClassEntropy": null,
        "DecisionStumpAUC": null,
        "DecisionStumpErrRate": null,
        "DecisionStumpKappa": null,
        "Dimensionality": 0.008888888888888889,
        "EquivalentNumberOfAtts": null,
        "J48.00001.AUC": null,
        "J48.00001.ErrRate": null,
        "J48.00001.Kappa": null,
        "J48.0001.AUC": null,
        "J48.0001.ErrRate": null,
        "J48.0001.Kappa": null,
        "J48.001.AUC": null,
        "J48.001.ErrRate": null,
        "J48.001.Kappa": null,
        "MajorityClassPercentage": null,
        "MajorityClassSize": null,
        "MaxAttributeEntropy": null,
        "MaxKurtosisOfNumericAtts": 25.92144278445295,
        "MaxMeansOfNumericAtts": 830.7911111111115,
        "MaxMutualInformation": null,
        "MaxNominalAttDistinctValues": 5,
        "MaxSkewnessOfNumericAtts": 5.015906385287465,
        "MaxStdDevOfNumericAtts": 3163.6544705181564,
        "MeanAttributeEntropy": null,
        "MeanKurtosisOfNumericAtts": 12.356970601906818,
        "MeanMeansOfNumericAtts": 420.14555555555575,
        "MeanMutualInformation": null,
        "MeanNoiseToSignalRatio": null,
        "MeanNominalAttDistinctValues": 5,
        "MeanSkewnessOfNumericAtts": 2.5079531926437326,
        "MeanStdDevOfNumericAtts": 1584.4241861008989,
        "MinAttributeEntropy": null,
        "MinKurtosisOfNumericAtts": -1.2075015806393137,
        "MinMeansOfNumericAtts": 9.5,
        "MinMutualInformation": null,
        "MinNominalAttDistinctValues": 5,
        "MinSkewnessOfNumericAtts": 0,
        "MinStdDevOfNumericAtts": 5.193901683641292,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NaiveBayesAUC": null,
        "NaiveBayesErrRate": null,
        "NaiveBayesKappa": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfMissingValues": 0,
        "PercentageOfNumericFeatures": 50,
        "PercentageOfSymbolicFeatures": 50,
        "Quartile1AttributeEntropy": null,
        "Quartile1KurtosisOfNumericAtts": -1.2075015806393137,
        "Quartile1MeansOfNumericAtts": 9.5,
        "Quartile1MutualInformation": null,
        "Quartile1SkewnessOfNumericAtts": 0,
        "Quartile1StdDevOfNumericAtts": 5.193901683641292,
        "Quartile2AttributeEntropy": null,
        "Quartile2KurtosisOfNumericAtts": 12.356970601906818,
        "Quartile2MeansOfNumericAtts": 420.14555555555575,
        "Quartile2MutualInformation": null,
        "Quartile2SkewnessOfNumericAtts": 2.5079531926437326,
        "Quartile2StdDevOfNumericAtts": 1584.4241861008989,
        "Quartile3AttributeEntropy": null,
        "Quartile3KurtosisOfNumericAtts": 25.92144278445295,
        "Quartile3MeansOfNumericAtts": 830.7911111111115,
        "Quartile3MutualInformation": null,
        "Quartile3SkewnessOfNumericAtts": 5.015906385287465,
        "Quartile3StdDevOfNumericAtts": 3163.6544705181564,
        "REPTreeDepth1AUC": null,
        "REPTreeDepth1ErrRate": null,
        "REPTreeDepth1Kappa": null,
        "REPTreeDepth2AUC": null,
        "REPTreeDepth2ErrRate": null,
        "REPTreeDepth2Kappa": null,
        "REPTreeDepth3AUC": null,
        "REPTreeDepth3ErrRate": null,
        "REPTreeDepth3Kappa": null,
        "RandomTreeDepth1AUC": null,
        "RandomTreeDepth1ErrRate": null,
        "RandomTreeDepth1Kappa": null,
        "RandomTreeDepth2AUC": null,
        "RandomTreeDepth2ErrRate": null,
        "RandomTreeDepth2Kappa": null,
        "RandomTreeDepth3AUC": null,
        "RandomTreeDepth3ErrRate": null,
        "RandomTreeDepth3Kappa": null,
        "StdvNominalAttDistinctValues": 0,
        "kNN1NAUC": null,
        "kNN1NErrRate": null,
        "kNN1NKappa": null
    },
    "tags": [
        {
            "tag": "study_239",
            "uploader": "0"
        }
    ],
    "topics": [
        {
            "topic": "Book-based",
            "uploader": "8111"
        }
    ],
    "features": [
        {
            "name": "Count",
            "index": "3",
            "type": "numeric",
            "distinct": "159",
            "missing": "0",
            "target": "1",
            "min": "0",
            "max": "23973",
            "mean": "831",
            "stdev": "3164"
        },
        {
            "name": "Automatic",
            "index": "0",
            "type": "nominal",
            "distinct": "5",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Scorer_2",
            "index": "1",
            "type": "nominal",
            "distinct": "5",
            "missing": "0",
            "distr": []
        },
        {
            "name": "Subject",
            "index": "2",
            "type": "numeric",
            "distinct": "18",
            "missing": "0",
            "min": "1",
            "max": "18",
            "mean": "10",
            "stdev": "5"
        }
    ],
    "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
}