{ "data_id": "471", "name": "analcatdata_draft", "exact_name": "analcatdata_draft", "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: none specific\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": null, "contributor": null, "date": "2014-09-28 23:51:28", "update_comment": "Actual.date is a row id", "last_update": "2015-04-15 17:36:25", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/52583\/analcatdata_draft.arff", "default_target_attribute": "", "row_id_attribute": "Actual.date", "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "analcatdata_draft", "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": 366, "NumberOfFeatures": 5, "NumberOfClasses": null, "NumberOfMissingValues": 2, "NumberOfInstancesWithMissingValues": 2, "NumberOfNumericFeatures": 2, "NumberOfSymbolicFeatures": 3, "Quartile2SkewnessOfNumericAtts": 0, "REPTreeDepth3Kappa": null, "DecisionStumpKappa": null, "MaxMeansOfNumericAtts": 183.5, "MinMutualInformation": null, "Quartile2StdDevOfNumericAtts": 105.65500067023703, "RandomTreeDepth1AUC": null, "Dimensionality": 0.01366120218579235, "MaxMutualInformation": null, "MinNominalAttDistinctValues": 12, "PercentageOfBinaryFeatures": 0, "Quartile3AttributeEntropy": null, "RandomTreeDepth1ErrRate": null, "EquivalentNumberOfAtts": null, "MaxNominalAttDistinctValues": 12, "MinSkewnessOfNumericAtts": 0, "PercentageOfInstancesWithMissingValues": 0.546448087431694, 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