{
    "data_id": "459",
    "name": "analcatdata_asbestos",
    "exact_name": "analcatdata_asbestos",
    "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: nominal\nCLASSINDEX: 1\n\n\nNote: Quotes, Single-Quotes and Backslashes were removed, Blanks replaced\nwith Underscores",
    "format": "ARFF",
    "uploader": "Joaquin Vanschoren",
    "uploader_id": 2,
    "visibility": "public",
    "creator": "Jeffrey S. Simonoff",
    "contributor": null,
    "date": "2014-09-28 23:51:07",
    "update_comment": null,
    "last_update": "2014-09-28 23:51:07",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/52571\/analcatdata_asbestos.arff",
    "default_target_attribute": "Task",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 694,
    "suggest": {
        "input": [
            "analcatdata_asbestos",
            "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": 83,
        "NumberOfFeatures": 4,
        "NumberOfClasses": 2,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 1,
        "NumberOfSymbolicFeatures": 3,
        "MeanSkewnessOfNumericAtts": 0.025082469040279297,
        "Quartile1StdDevOfNumericAtts": 75.88386234376878,
        "REPTreeDepth2AUC": 0.6630434782608695,
        "CfsSubsetEval_kNN1NErrRate": 0.21686746987951808,
        "kNN1NAUC": 0.7834900117508813,
        "J48.001.Kappa": 0.5199537304800463,
        "MeanStdDevOfNumericAtts": 75.88386234376878,
        "Quartile2AttributeEntropy": 1.129631700604039,
        "REPTreeDepth2ErrRate": 0.3614457831325301,
        "CfsSubsetEval_kNN1NKappa": 0.5701956271576524,
        "kNN1NErrRate": 0.24096385542168675,
        "MajorityClassPercentage": 55.42168674698795,
        "MinAttributeEntropy": 0.9763102872004581,
        "Quartile2KurtosisOfNumericAtts": -1.2403333647323869,
        "REPTreeDepth2Kappa": 0.23195558297347296,
        "ClassEntropy": 0.9915017866855544,
        "kNN1NKappa": 0.5224395857307249,
        "MajorityClassSize": 46,
        "MinKurtosisOfNumericAtts": -1.2403333647323869,
        "Quartile2MeansOfNumericAtts": 147.0722891566265,
        "REPTreeDepth3AUC": 0.6630434782608695,
        "DecisionStumpAUC": 0.753231492361927,
        "MaxAttributeEntropy": 1.28295311400762,
        "MinMeansOfNumericAtts": 147.0722891566265,
        "Quartile2MutualInformation": 0.218964544898045,
        "REPTreeDepth3ErrRate": 0.3614457831325301,
        "DecisionStumpErrRate": 0.24096385542168675,
        "MaxKurtosisOfNumericAtts": -1.2403333647323869,
        "MinMutualInformation": 0.15607925061011,
        "Quartile2SkewnessOfNumericAtts": 0.025082469040279297,
        "REPTreeDepth3Kappa": 0.23195558297347296,
        "DecisionStumpKappa": 0.5297450424929179,
        "MaxMeansOfNumericAtts": 147.0722891566265,
        "MinNominalAttDistinctValues": 2,
        "PercentageOfBinaryFeatures": 50,
        "Quartile2StdDevOfNumericAtts": 75.88386234376878,
        "RandomTreeDepth1AUC": 0.7605757931844889,
        "Dimensionality": 0.04819277108433735,
        "MaxMutualInformation": 0.28184983918598,
        "MinSkewnessOfNumericAtts": 0.025082469040279297,
        "PercentageOfInstancesWithMissingValues": 0,
        "Quartile3AttributeEntropy": 1.28295311400762,
        "RandomTreeDepth1ErrRate": 0.25301204819277107,
        "EquivalentNumberOfAtts": 4.5281385036432305,
        "MaxNominalAttDistinctValues": 3,
        "MinStdDevOfNumericAtts": 75.88386234376878,
        "PercentageOfMissingValues": 0,
        "Quartile3KurtosisOfNumericAtts": -1.2403333647323869,
        "AutoCorrelation": 0.6585365853658537,
        "RandomTreeDepth1Kappa": 0.4998565279770445,
        "J48.00001.AUC": 0.7523501762632199,
        "MaxSkewnessOfNumericAtts": 0.025082469040279297,
        "MinorityClassPercentage": 44.57831325301205,
        "PercentageOfNumericFeatures": 25,
        "Quartile3MeansOfNumericAtts": 147.0722891566265,
        "CfsSubsetEval_DecisionStumpAUC": 0.7917156286721504,
        "RandomTreeDepth2AUC": 0.7605757931844889,
        "J48.00001.ErrRate": 0.24096385542168675,
        "MaxStdDevOfNumericAtts": 75.88386234376878,
        "MinorityClassSize": 37,
        "PercentageOfSymbolicFeatures": 75,
        "Quartile3MutualInformation": 0.28184983918598,
        "CfsSubsetEval_DecisionStumpErrRate": 0.21686746987951808,
        "RandomTreeDepth2ErrRate": 0.25301204819277107,
        "J48.00001.Kappa": 0.5199537304800463,
        "MeanAttributeEntropy": 1.129631700604039,
        "NaiveBayesAUC": 0.8490011750881314,
        "Quartile1AttributeEntropy": 0.9763102872004581,
        "Quartile3SkewnessOfNumericAtts": 0.025082469040279297,
        "CfsSubsetEval_DecisionStumpKappa": 0.5701956271576524,
        "RandomTreeDepth2Kappa": 0.4998565279770445,
        "J48.0001.AUC": 0.7523501762632199,
        "MeanKurtosisOfNumericAtts": -1.2403333647323869,
        "NaiveBayesErrRate": 0.21686746987951808,
        "Quartile1KurtosisOfNumericAtts": -1.2403333647323869,
        "Quartile3StdDevOfNumericAtts": 75.88386234376878,
        "CfsSubsetEval_NaiveBayesAUC": 0.7917156286721504,
        "RandomTreeDepth3AUC": 0.7605757931844889,
        "J48.0001.ErrRate": 0.24096385542168675,
        "MeanMeansOfNumericAtts": 147.0722891566265,
        "MeanMutualInformation": 0.218964544898045,
        "NaiveBayesKappa": 0.5656976744186045,
        "Quartile1MeansOfNumericAtts": 147.0722891566265,
        "REPTreeDepth1AUC": 0.6630434782608695,
        "CfsSubsetEval_NaiveBayesErrRate": 0.21686746987951808,
        "RandomTreeDepth3ErrRate": 0.25301204819277107,
        "J48.0001.Kappa": 0.5199537304800463,
        "MeanNoiseToSignalRatio": 4.158970833063507,
        "NumberOfBinaryFeatures": 2,
        "Quartile1MutualInformation": 0.15607925061011,
        "REPTreeDepth1ErrRate": 0.3614457831325301,
        "CfsSubsetEval_NaiveBayesKappa": 0.5701956271576524,
        "RandomTreeDepth3Kappa": 0.4998565279770445,
        "J48.001.AUC": 0.7523501762632199,
        "MeanNominalAttDistinctValues": 2.3333333333333335,
        "Quartile1SkewnessOfNumericAtts": 0.025082469040279297,
        "REPTreeDepth1Kappa": 0.23195558297347296,
        "CfsSubsetEval_kNN1NAUC": 0.7917156286721504,
        "StdvNominalAttDistinctValues": 0.5773502691896258,
        "J48.001.ErrRate": 0.24096385542168675
    },
    "tags": [
        {
            "tag": "mythbusting_1",
            "uploader": "1"
        },
        {
            "tag": "study_1",
            "uploader": "2"
        },
        {
            "tag": "study_15",
            "uploader": "939"
        },
        {
            "tag": "study_20",
            "uploader": "939"
        },
        {
            "tag": "study_41",
            "uploader": "1"
        }
    ],
    "topics": [
        {
            "topic": "Book-based",
            "uploader": "8111"
        }
    ],
    "features": [
        {
            "name": "Task",
            "index": "0",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "target": "1",
            "distr": [
                [
                    "Insulation",
                    "Tile"
                ],
                [
                    [
                        "46",
                        "0"
                    ],
                    [
                        "0",
                        "37"
                    ]
                ]
            ]
        },
        {
            "name": "Ventilation",
            "index": "1",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": [
                [
                    "General",
                    "Negative_pressure"
                ],
                [
                    [
                        "28",
                        "6"
                    ],
                    [
                        "18",
                        "31"
                    ]
                ]
            ]
        },
        {
            "name": "Duration",
            "index": "2",
            "type": "numeric",
            "distinct": "63",
            "missing": "0",
            "min": "30",
            "max": "300",
            "mean": "147",
            "stdev": "76"
        },
        {
            "name": "Exposure",
            "index": "3",
            "type": "nominal",
            "distinct": "3",
            "missing": "0",
            "distr": [
                [
                    "(1)_Low_exposure",
                    "(2)_Action_level",
                    "(3)_Above_legal_limit"
                ],
                [
                    [
                        "13",
                        "32"
                    ],
                    [
                        "4",
                        "2"
                    ],
                    [
                        "29",
                        "3"
                    ]
                ]
            ]
        }
    ],
    "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
}