{ "data_id": "491", "name": "analcatdata_negotiation", "exact_name": "analcatdata_negotiation", "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": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": "Jeffrey S. Simonoff", "contributor": null, "date": "2014-09-29 00:06:39", "update_comment": null, "last_update": "2014-09-29 00:06:39", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/52603\/analcatdata_negotiation.arff", "kaggle_url": null, "default_target_attribute": "Future_business", "row_id_attribute": null, "ignore_attribute": null, "runs": 53, "suggest": { "input": [ "analcatdata_negotiation", "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": 92, "NumberOfFeatures": 6, "NumberOfClasses": 0, "NumberOfMissingValues": 26, "NumberOfInstancesWithMissingValues": 17, "NumberOfNumericFeatures": 5, "NumberOfSymbolicFeatures": 1, "Quartile2AttributeEntropy": null, "REPTreeDepth2ErrRate": null, "CfsSubsetEval_kNN1NKappa": null, "kNN1NErrRate": null, "MajorityClassPercentage": null, "MeanStdDevOfNumericAtts": 11.821772023988377, "Quartile2KurtosisOfNumericAtts": -0.06976788024150604, "REPTreeDepth2Kappa": null, "ClassEntropy": null, "kNN1NKappa": null, "MajorityClassSize": null, "MinAttributeEntropy": null, "Quartile2MeansOfNumericAtts": 53.544973545, "REPTreeDepth3AUC": null, "DecisionStumpAUC": null, "MaxAttributeEntropy": null, "MinKurtosisOfNumericAtts": -0.4598389723292464, "Quartile2MutualInformation": null, "REPTreeDepth3ErrRate": null, "DecisionStumpErrRate": null, "MaxKurtosisOfNumericAtts": 0.9472012717820122, "MinMeansOfNumericAtts": 5.934782608695652, "Quartile2SkewnessOfNumericAtts": -0.37781516937943554, "REPTreeDepth3Kappa": null, "DecisionStumpKappa": null, "MaxMeansOfNumericAtts": 64.41653584483517, "MinMutualInformation": null, "PercentageOfBinaryFeatures": 16.666666666666664, "Quartile2StdDevOfNumericAtts": 15.447845979550953, "RandomTreeDepth1AUC": null, "Dimensionality": 0.06521739130434782, "MaxMutualInformation": null, "MinNominalAttDistinctValues": 2, "PercentageOfInstancesWithMissingValues": 18.478260869565215, "Quartile3AttributeEntropy": null, "RandomTreeDepth1ErrRate": null, "EquivalentNumberOfAtts": null, "MaxNominalAttDistinctValues": 2, "MinSkewnessOfNumericAtts": -1.093211081746012, "PercentageOfMissingValues": 4.710144927536232, "Quartile3KurtosisOfNumericAtts": 0.4714349211361861, "AutoCorrelation": -0.21978021978021978, "RandomTreeDepth1Kappa": null, "J48.00001.AUC": null, "MaxSkewnessOfNumericAtts": -0.14748628972231778, "MinStdDevOfNumericAtts": 1.1271314151184708, "PercentageOfNumericFeatures": 83.33333333333334, "Quartile3MeansOfNumericAtts": 63.63039517831502, "CfsSubsetEval_DecisionStumpAUC": null, "RandomTreeDepth2AUC": null, "J48.00001.ErrRate": null, "MaxStdDevOfNumericAtts": 15.800147823919174, "MinorityClassPercentage": null, "PercentageOfSymbolicFeatures": 16.666666666666664, "Quartile3MutualInformation": null, "CfsSubsetEval_DecisionStumpErrRate": null, "RandomTreeDepth2ErrRate": null, "J48.00001.Kappa": null, "MeanAttributeEntropy": null, "MinorityClassSize": null, "Quartile1AttributeEntropy": null, "Quartile3SkewnessOfNumericAtts": -0.240238382118326, "CfsSubsetEval_DecisionStumpKappa": null, "RandomTreeDepth2Kappa": null, "J48.0001.AUC": null, "MeanKurtosisOfNumericAtts": 0.03267208824208241, "NaiveBayesAUC": null, "Quartile1KurtosisOfNumericAtts": -0.354870760410227, "Quartile3StdDevOfNumericAtts": 15.687083813911798, "CfsSubsetEval_NaiveBayesAUC": null, "RandomTreeDepth3AUC": null, "J48.0001.ErrRate": null, "MeanMeansOfNumericAtts": 47.21041567043381, "NaiveBayesErrRate": null, "Quartile1MeansOfNumericAtts": 27.623157225269512, "REPTreeDepth1AUC": null, "CfsSubsetEval_NaiveBayesErrRate": null, "RandomTreeDepth3ErrRate": null, "J48.0001.Kappa": null, "MeanMutualInformation": null, "NaiveBayesKappa": null, "Quartile1MutualInformation": null, "REPTreeDepth1ErrRate": null, "CfsSubsetEval_NaiveBayesKappa": null, "RandomTreeDepth3Kappa": null, "J48.001.AUC": null, "MeanNoiseToSignalRatio": null, "NumberOfBinaryFeatures": 1, "Quartile1SkewnessOfNumericAtts": -0.8078210467242262, "REPTreeDepth1Kappa": null, "CfsSubsetEval_kNN1NAUC": null, "StdvNominalAttDistinctValues": 0, "J48.001.ErrRate": null, "MeanNominalAttDistinctValues": 2, "Quartile1StdDevOfNumericAtts": 6.143423256283669, "REPTreeDepth2AUC": null, "CfsSubsetEval_kNN1NErrRate": null, "kNN1NAUC": null, "J48.001.Kappa": null, "MeanSkewnessOfNumericAtts": -0.494786805412908 }, "tags": [ { "tag": "study_239", "uploader": "0" }, { "tag": "study_346", "uploader": "0" } ], "topics": [ { "topic": "Book-based", "uploader": "8111" } ], "features": [ { "name": "Future_business", "index": "5", "type": "numeric", "distinct": "6", "missing": "0", "target": "1", "min": "2", "max": "7", "mean": "6", "stdev": "1" }, { "name": "Role", "index": "0", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Status", "index": "1", "type": "numeric", "distinct": "42", "missing": "14", "min": "32", "max": "84", "mean": "63", "stdev": "11" }, { "name": "Trust", "index": "2", "type": "numeric", "distinct": "28", "missing": "9", "min": "7", "max": "81", "mean": "49", "stdev": "16" }, { "name": "Outcome_favorability", "index": "3", "type": "numeric", "distinct": "16", "missing": "2", "min": "14", "max": "86", "mean": "54", "stdev": "15" }, { "name": "Procedural_fairness", "index": "4", "type": "numeric", "distinct": "14", "missing": "1", "min": "14", "max": "86", "mean": "64", "stdev": "16" } ], "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 }