DEVELOPMENT... { "data_id": "44040", "name": "analcatdata_supreme", "exact_name": "analcatdata_supreme", "version": 3, "version_label": null, "description": "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, \n transformed in the same way. This dataset belongs to the \"regression on categorical and\n numerical features\" benchmark. Original description: \n \n**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: none specific\n\n\nNote: Quotes, Single-Quotes and Backslashes were removed, Blanks replaced\nwith Underscores", "format": "arff", "uploader": "Frank Wallace", "uploader_id": 26324, "visibility": "public", "creator": "\"Jeffrey S. Simonoff\"", "contributor": "\"Leo Grin\"", "date": "2022-06-18 13:07:01", "update_comment": null, "last_update": "2022-06-18 13:07:01", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/old.openml.org\/data\/download\/22103128\/dataset", "default_target_attribute": "Log_exposure", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "analcatdata_supreme", "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"regression on categorical and numerical features\" benchmark. Original description: 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 g " ], "weight": 5 }, "qualities": { "NumberOfInstances": 4052, "NumberOfFeatures": 8, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 3, "NumberOfSymbolicFeatures": 5, "PercentageOfSymbolicFeatures": 62.5, "AutoCorrelation": 0.9796642804245866, "PercentageOfNumericFeatures": 37.5, "PercentageOfMissingValues": 0, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfBinaryFeatures": 62.5, "NumberOfBinaryFeatures": 5, "MinorityClassSize": null, "MinorityClassPercentage": null, "MajorityClassSize": null, "MajorityClassPercentage": null, "Dimensionality": 0.0019743336623889436 }, "tags": [], "features": [ { "name": "Log_exposure", "index": "7", "type": "numeric", "distinct": "10", "missing": "0", "target": "1", "min": "0", "max": "2", "mean": "2", "stdev": "1" }, { "name": "Actions_taken", "index": "0", "type": "numeric", "distinct": "10", "missing": "0", "min": "0", "max": "11", "mean": "0", "stdev": "1" }, { "name": "Liberal", "index": "1", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Unconstitutional", "index": "2", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Precedent_alteration", "index": "3", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Unanimous", "index": "4", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "Year_of_decision", "index": "5", "type": "numeric", "distinct": "36", "missing": "0", "min": "1953", "max": "1988", "mean": "1972", "stdev": "10" }, { "name": "Lower_court_disagreement", "index": "6", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] } ], "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 }