DEVELOPMENT...      {
    "data_id": "487",
    "name": "papir_2",
    "exact_name": "papir_2",
    "version": 1,
    "version_label": null,
    "description": "**Author**: Magne Aldrin (magne.aldrin@nr.no)  \n**Source**: [StatLib](http:\/\/lib.stat.cmu.edu\/datasets\/) - April 14. 1999  \n**Please cite**:   \n\nOne of two multivariate regression data sets from paper industry, from an experiment at the paper plant Saugbruksforeningen, Norway. They have been described and analysed in:  \nAldrin, M. (1996), \"Moderate projection pursuit regression for multivariate response data\", Computational Statistics and Data Analysis,\n21, p. 501-531.\n\nIt consists of 30 observations (rows) and 41 variables (columns). Columns 1 to 32 are response variables that describes various qualities \nof the paper. Columns 33 to 41 are 9 predictor variables. The first three predictor variables  (x1 in column 33, x2 in column 34 and x3 in column 35) were varied systematically through the experiment. The next three predictor variables (columns 36 to 38) are constructed as x1**2, x2**2 and x3**2. The last three predictor variables (columns 39 to 41) are constructed as x1*x2, x1*x3 and x2*x3. ",
    "format": "ARFF",
    "uploader": "unknown",
    "uploader_id": 2,
    "visibility": "public",
    "creator": "Magne Aldrin",
    "contributor": null,
    "date": "2014-09-29 00:05:23",
    "update_comment": "set target feature",
    "last_update": "2014-10-06 17:06:31",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/52599\/papir_2.arff",
    "default_target_attribute": "response_1",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "papir_2",
            "One of two multivariate regression data sets from paper industry, from an experiment at the paper plant Saugbruksforeningen, Norway. They have been described and analysed in: Aldrin, M. (1996), \"Moderate projection pursuit regression for multivariate response data\", Computational Statistics and Data Analysis, 21, p. 501-531. It consists of 30 observations (rows) and 41 variables (columns). Columns 1 to 32 are response variables that describes various qualities of the paper. Columns 33 to 41 are  "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 30,
        "NumberOfFeatures": 41,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 41,
        "NumberOfSymbolicFeatures": 0,
        "AutoCorrelation": -0.1446551724137931,
        "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": 1.3666666666666667,
        "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": 4.566232400489467,
        "MaxMeansOfNumericAtts": 22.744033333333334,
        "MaxMutualInformation": null,
        "MaxNominalAttDistinctValues": null,
        "MaxSkewnessOfNumericAtts": 1.4073168574148849,
        "MaxStdDevOfNumericAtts": 1.189736119201789,
        "MeanAttributeEntropy": null,
        "MeanKurtosisOfNumericAtts": 0.009598608772001672,
        "MeanMeansOfNumericAtts": 12.42700081300813,
        "MeanMutualInformation": null,
        "MeanNoiseToSignalRatio": null,
        "MeanNominalAttDistinctValues": null,
        "MeanSkewnessOfNumericAtts": 0.027964818364968,
        "MeanStdDevOfNumericAtts": 1.0216546383408185,
        "MinAttributeEntropy": null,
        "MinKurtosisOfNumericAtts": -1.5397789845066974,
        "MinMeansOfNumericAtts": -0.012199999999999996,
        "MinMutualInformation": null,
        "MinNominalAttDistinctValues": null,
        "MinSkewnessOfNumericAtts": -1.4894256362777145,
        "MinStdDevOfNumericAtts": 0.936522157625829,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NaiveBayesAUC": null,
        "NaiveBayesErrRate": null,
        "NaiveBayesKappa": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfMissingValues": 0,
        "PercentageOfNumericFeatures": 100,
        "PercentageOfSymbolicFeatures": 0,
        "Quartile1AttributeEntropy": null,
        "Quartile1KurtosisOfNumericAtts": -0.5339448833818048,
        "Quartile1MeansOfNumericAtts": 13.464183333333335,
        "Quartile1MutualInformation": null,
        "Quartile1SkewnessOfNumericAtts": -0.22938264184492893,
        "Quartile1StdDevOfNumericAtts": 1.0170338111324284,
        "Quartile2AttributeEntropy": null,
        "Quartile2KurtosisOfNumericAtts": -0.21948610088569653,
        "Quartile2MeansOfNumericAtts": 14.341133333333334,
        "Quartile2MutualInformation": null,
        "Quartile2SkewnessOfNumericAtts": -0.06562624011334929,
        "Quartile2StdDevOfNumericAtts": 1.0170877113817067,
        "Quartile3AttributeEntropy": null,
        "Quartile3KurtosisOfNumericAtts": 0.27820805955473205,
        "Quartile3MeansOfNumericAtts": 16.672183333333336,
        "Quartile3MutualInformation": null,
        "Quartile3SkewnessOfNumericAtts": 0.3268636015801899,
        "Quartile3StdDevOfNumericAtts": 1.0171587408180316,
        "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": null,
        "kNN1NAUC": null,
        "kNN1NErrRate": null,
        "kNN1NKappa": null
    },
    "tags": [],
    "features": [
        {
            "name": "response_1",
            "index": "0",
            "type": "numeric",
            "distinct": "19",
            "missing": "0",
            "target": "1",
            "min": "13",
            "max": "17",
            "mean": "15",
            "stdev": "1"
        },
        {
            "name": "response_32",
            "index": "31",
            "type": "numeric",
            "distinct": "23",
            "missing": "0",
            "min": "10",
            "max": "16",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_23",
            "index": "22",
            "type": "numeric",
            "distinct": "19",
            "missing": "0",
            "min": "12",
            "max": "16",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_24",
            "index": "23",
            "type": "numeric",
            "distinct": "18",
            "missing": "0",
            "min": "17",
            "max": "22",
            "mean": "20",
            "stdev": "1"
        },
        {
            "name": "response_25",
            "index": "24",
            "type": "numeric",
            "distinct": "22",
            "missing": "0",
            "min": "15",
            "max": "19",
            "mean": "17",
            "stdev": "1"
        },
        {
            "name": "response_26",
            "index": "25",
            "type": "numeric",
            "distinct": "25",
            "missing": "0",
            "min": "12",
            "max": "16",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_27",
            "index": "26",
            "type": "numeric",
            "distinct": "23",
            "missing": "0",
            "min": "15",
            "max": "20",
            "mean": "17",
            "stdev": "1"
        },
        {
            "name": "response_28",
            "index": "27",
            "type": "numeric",
            "distinct": "21",
            "missing": "0",
            "min": "12",
            "max": "17",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_29",
            "index": "28",
            "type": "numeric",
            "distinct": "21",
            "missing": "0",
            "min": "13",
            "max": "17",
            "mean": "16",
            "stdev": "1"
        },
        {
            "name": "response_30",
            "index": "29",
            "type": "numeric",
            "distinct": "22",
            "missing": "0",
            "min": "14",
            "max": "18",
            "mean": "15",
            "stdev": "1"
        },
        {
            "name": "response_31",
            "index": "30",
            "type": "numeric",
            "distinct": "24",
            "missing": "0",
            "min": "12",
            "max": "16",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_21",
            "index": "20",
            "type": "numeric",
            "distinct": "18",
            "missing": "0",
            "min": "14",
            "max": "19",
            "mean": "17",
            "stdev": "1"
        },
        {
            "name": "x1",
            "index": "32",
            "type": "numeric",
            "distinct": "27",
            "missing": "0",
            "min": "-2",
            "max": "1",
            "mean": "0",
            "stdev": "1"
        },
        {
            "name": "x2",
            "index": "33",
            "type": "numeric",
            "distinct": "23",
            "missing": "0",
            "min": "-2",
            "max": "2",
            "mean": "0",
            "stdev": "1"
        },
        {
            "name": "x3",
            "index": "34",
            "type": "numeric",
            "distinct": "19",
            "missing": "0",
            "min": "-2",
            "max": "2",
            "mean": "0",
            "stdev": "1"
        },
        {
            "name": "x1**2",
            "index": "35",
            "type": "numeric",
            "distinct": "24",
            "missing": "0",
            "min": "0",
            "max": "4",
            "mean": "1",
            "stdev": "1"
        },
        {
            "name": "x2**2",
            "index": "36",
            "type": "numeric",
            "distinct": "23",
            "missing": "0",
            "min": "0",
            "max": "3",
            "mean": "1",
            "stdev": "1"
        },
        {
            "name": "x3**2",
            "index": "37",
            "type": "numeric",
            "distinct": "19",
            "missing": "0",
            "min": "0",
            "max": "4",
            "mean": "1",
            "stdev": "1"
        },
        {
            "name": "x1*x2",
            "index": "38",
            "type": "numeric",
            "distinct": "30",
            "missing": "0",
            "min": "-3",
            "max": "3",
            "mean": "0",
            "stdev": "1"
        },
        {
            "name": "x2*x3",
            "index": "39",
            "type": "numeric",
            "distinct": "29",
            "missing": "0",
            "min": "-2",
            "max": "2",
            "mean": "0",
            "stdev": "1"
        },
        {
            "name": "x3*x2",
            "index": "40",
            "type": "numeric",
            "distinct": "29",
            "missing": "0",
            "min": "-2",
            "max": "3",
            "mean": "0",
            "stdev": "1"
        },
        {
            "name": "response_11",
            "index": "10",
            "type": "numeric",
            "distinct": "24",
            "missing": "0",
            "min": "14",
            "max": "17",
            "mean": "16",
            "stdev": "1"
        },
        {
            "name": "response_2",
            "index": "1",
            "type": "numeric",
            "distinct": "21",
            "missing": "0",
            "min": "12",
            "max": "17",
            "mean": "15",
            "stdev": "1"
        },
        {
            "name": "response_3",
            "index": "2",
            "type": "numeric",
            "distinct": "18",
            "missing": "0",
            "min": "14",
            "max": "19",
            "mean": "17",
            "stdev": "1"
        },
        {
            "name": "response_4",
            "index": "3",
            "type": "numeric",
            "distinct": "23",
            "missing": "0",
            "min": "12",
            "max": "15",
            "mean": "13",
            "stdev": "1"
        },
        {
            "name": "response_5",
            "index": "4",
            "type": "numeric",
            "distinct": "20",
            "missing": "0",
            "min": "12",
            "max": "16",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_6",
            "index": "5",
            "type": "numeric",
            "distinct": "20",
            "missing": "0",
            "min": "16",
            "max": "20",
            "mean": "18",
            "stdev": "1"
        },
        {
            "name": "response_7",
            "index": "6",
            "type": "numeric",
            "distinct": "21",
            "missing": "0",
            "min": "12",
            "max": "16",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_8",
            "index": "7",
            "type": "numeric",
            "distinct": "22",
            "missing": "0",
            "min": "13",
            "max": "18",
            "mean": "15",
            "stdev": "1"
        },
        {
            "name": "response_9",
            "index": "8",
            "type": "numeric",
            "distinct": "25",
            "missing": "0",
            "min": "13",
            "max": "17",
            "mean": "15",
            "stdev": "1"
        },
        {
            "name": "response_10",
            "index": "9",
            "type": "numeric",
            "distinct": "21",
            "missing": "0",
            "min": "12",
            "max": "17",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_22",
            "index": "21",
            "type": "numeric",
            "distinct": "19",
            "missing": "0",
            "min": "16",
            "max": "20",
            "mean": "18",
            "stdev": "1"
        },
        {
            "name": "response_12",
            "index": "11",
            "type": "numeric",
            "distinct": "23",
            "missing": "0",
            "min": "11",
            "max": "15",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_13",
            "index": "12",
            "type": "numeric",
            "distinct": "26",
            "missing": "0",
            "min": "12",
            "max": "17",
            "mean": "15",
            "stdev": "1"
        },
        {
            "name": "response_14",
            "index": "13",
            "type": "numeric",
            "distinct": "22",
            "missing": "0",
            "min": "15",
            "max": "20",
            "mean": "18",
            "stdev": "1"
        },
        {
            "name": "response_15",
            "index": "14",
            "type": "numeric",
            "distinct": "23",
            "missing": "0",
            "min": "12",
            "max": "16",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_16",
            "index": "15",
            "type": "numeric",
            "distinct": "27",
            "missing": "0",
            "min": "11",
            "max": "15",
            "mean": "14",
            "stdev": "1"
        },
        {
            "name": "response_17",
            "index": "16",
            "type": "numeric",
            "distinct": "19",
            "missing": "0",
            "min": "16",
            "max": "20",
            "mean": "18",
            "stdev": "1"
        },
        {
            "name": "response_18",
            "index": "17",
            "type": "numeric",
            "distinct": "17",
            "missing": "0",
            "min": "21",
            "max": "25",
            "mean": "23",
            "stdev": "1"
        },
        {
            "name": "response_19",
            "index": "18",
            "type": "numeric",
            "distinct": "19",
            "missing": "0",
            "min": "14",
            "max": "18",
            "mean": "16",
            "stdev": "1"
        },
        {
            "name": "response_20",
            "index": "19",
            "type": "numeric",
            "distinct": "18",
            "missing": "0",
            "min": "17",
            "max": "21",
            "mean": "19",
            "stdev": "1"
        }
    ],
    "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
}