{ "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": "Joaquin Vanschoren", "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, "MeanSkewnessOfNumericAtts": 0.027964818364968, "Quartile1StdDevOfNumericAtts": 1.0170338111324284, "REPTreeDepth2AUC": null, "CfsSubsetEval_kNN1NErrRate": null, "kNN1NAUC": null, "J48.001.Kappa": null, "MeanStdDevOfNumericAtts": 1.0216546383408185, "Quartile2AttributeEntropy": null, "REPTreeDepth2ErrRate": null, "CfsSubsetEval_kNN1NKappa": null, "kNN1NErrRate": null, "MajorityClassPercentage": null, "MinAttributeEntropy": null, "Quartile2KurtosisOfNumericAtts": -0.21948610088569653, "REPTreeDepth2Kappa": null, "ClassEntropy": null, "kNN1NKappa": null, "MajorityClassSize": null, "MinKurtosisOfNumericAtts": -1.5397789845066974, "Quartile2MeansOfNumericAtts": 14.341133333333334, "REPTreeDepth3AUC": null, "DecisionStumpAUC": null, "MaxAttributeEntropy": null, "MinMeansOfNumericAtts": -0.012199999999999996, "Quartile2MutualInformation": null, "REPTreeDepth3ErrRate": null, "DecisionStumpErrRate": null, "MaxKurtosisOfNumericAtts": 4.566232400489467, "MinMutualInformation": null, "Quartile2SkewnessOfNumericAtts": -0.06562624011334929, "REPTreeDepth3Kappa": null, "DecisionStumpKappa": null, "MaxMeansOfNumericAtts": 22.744033333333334, "MinNominalAttDistinctValues": null, "PercentageOfBinaryFeatures": 0, "Quartile2StdDevOfNumericAtts": 1.0170877113817067, "RandomTreeDepth1AUC": null, "Dimensionality": 1.3666666666666667, "MaxMutualInformation": null, "MinSkewnessOfNumericAtts": -1.4894256362777145, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": null, "RandomTreeDepth1ErrRate": null, "EquivalentNumberOfAtts": null, "MaxNominalAttDistinctValues": null, "MinStdDevOfNumericAtts": 0.936522157625829, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": 0.27820805955473205, "AutoCorrelation": -0.1446551724137931, "RandomTreeDepth1Kappa": null, "J48.00001.AUC": null, "MaxSkewnessOfNumericAtts": 1.4073168574148849, "MinorityClassPercentage": null, "PercentageOfNumericFeatures": 100, "Quartile3MeansOfNumericAtts": 16.672183333333336, "CfsSubsetEval_DecisionStumpAUC": null, "RandomTreeDepth2AUC": null, "J48.00001.ErrRate": null, "MaxStdDevOfNumericAtts": 1.189736119201789, "MinorityClassSize": null, "PercentageOfSymbolicFeatures": 0, "Quartile3MutualInformation": null, "CfsSubsetEval_DecisionStumpErrRate": null, "RandomTreeDepth2ErrRate": null, "J48.00001.Kappa": null, "MeanAttributeEntropy": null, "NaiveBayesAUC": null, "Quartile1AttributeEntropy": null, "Quartile3SkewnessOfNumericAtts": 0.3268636015801899, "CfsSubsetEval_DecisionStumpKappa": null, "RandomTreeDepth2Kappa": null, "J48.0001.AUC": null, "MeanKurtosisOfNumericAtts": 0.009598608772001672, "NaiveBayesErrRate": null, "Quartile1KurtosisOfNumericAtts": -0.5339448833818048, "Quartile3StdDevOfNumericAtts": 1.0171587408180316, "CfsSubsetEval_NaiveBayesAUC": null, "RandomTreeDepth3AUC": null, "J48.0001.ErrRate": null, "MeanMeansOfNumericAtts": 12.42700081300813, "MeanMutualInformation": null, "NaiveBayesKappa": null, "Quartile1MeansOfNumericAtts": 13.464183333333335, "REPTreeDepth1AUC": null, "CfsSubsetEval_NaiveBayesErrRate": null, "RandomTreeDepth3ErrRate": null, "J48.0001.Kappa": null, "MeanNoiseToSignalRatio": null, "NumberOfBinaryFeatures": 0, "Quartile1MutualInformation": null, "REPTreeDepth1ErrRate": null, "CfsSubsetEval_NaiveBayesKappa": null, "RandomTreeDepth3Kappa": null, "J48.001.AUC": null, "MeanNominalAttDistinctValues": null, "Quartile1SkewnessOfNumericAtts": -0.22938264184492893, "REPTreeDepth1Kappa": null, "CfsSubsetEval_kNN1NAUC": null, "StdvNominalAttDistinctValues": null, "J48.001.ErrRate": 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_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_11", "index": "10", "type": "numeric", "distinct": "24", "missing": "0", "min": "14", "max": "17", "mean": "16", "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" }, { "name": "response_21", "index": "20", "type": "numeric", "distinct": "18", "missing": "0", "min": "14", "max": "19", "mean": "17", "stdev": "1" }, { "name": "response_22", "index": "21", "type": "numeric", "distinct": "19", "missing": "0", "min": "16", "max": "20", "mean": "18", "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_32", "index": "31", "type": "numeric", "distinct": "23", "missing": "0", "min": "10", "max": "16", "mean": "14", "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" } ], "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 }