{ "data_id": "329", "name": "hayes-roth", "exact_name": "hayes-roth", "version": 1, "version_label": "", "description": "**Author**: Barbara and Frederick Hayes-Roth \n \n**Source**: [original](https:\/\/archive.ics.uci.edu\/ml\/datasets\/Hayes-Roth) - \n**Please cite**: \n\nHayes-Roth Database\n\nThis is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks.\n\nSource Information: \n(a) Creators: Barbara and Frederick Hayes-Roth \n(b) Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779 \n(c) Date: March, 1989 \n\nAttribute Information: \n-- 1. name: distinct for each instance and represented numerically \n-- 2. hobby: nominal values ranging between 1 and 3 \n-- 3. age: nominal values ranging between 1 and 4 \n-- 4. educational level: nominal values ranging between 1 and 4 \n-- 5. marital status: nominal values ranging between 1 and 4 \n-- 6. class: nominal value between 1 and 3 \n\nDetailed description of the experiment: \n1. 3 categories (1, 2, and neither -- which I call 3) \n-- some of the instances could be classified in either class 1 or 2, and they have been evenly distributed between the two classes \n2. 5 Attributes \n-- A. name (a randomly-generated number between 1 and 132) \n-- B. hobby (a randomly-generated number between 1 and 3) \n-- C. age (a number between 1 and 4) \n-- D. education level (a number between 1 and 4) \n-- E. marital status (a number between 1 and 4) \n3. Classification: \n-- only attributes C-E are diagnostic; values for A and B are ignored \n-- Class Neither: if a 4 occurs for any attribute C-E \n-- Class 1: Otherwise, if (# of 1's)>(# of 2's) for attributes C-E \n-- Class 2: Otherwise, if (# of 2's)>(# of 1's) for attributes C-E \n-- Either 1 or 2: Otherwise, if (# of 2's)=(# of 1's) for attributes C-E \n4. Prototypes: \n-- Class 1: 111 \n-- Class 2: 222 \n-- Class Either: 333 \n-- Class Neither: 444", "format": "ARFF", "uploader": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": "Barbara and Frederick Hayes-Roth", "contributor": "\"\"", "date": "2014-08-26 15:23:02", "update_comment": null, "last_update": "2014-08-26 15:23:02", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/52233\/phpRql5hp", "kaggle_url": null, "default_target_attribute": "class", "row_id_attribute": "", "ignore_attribute": null, "runs": 384, "suggest": { "input": [ "hayes-roth", "Hayes-Roth Database This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks. Source Information: (a) Creators: Barbara and Frederick Hayes-Roth (b) Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779 (c) Date: March, 1989 Attribute Information: -- 1. name: distinct for each instance and represented numerically -- 2. hobby: nominal values ranging between 1 and 3 -- 3. age: nominal values " ], "weight": 5 }, "qualities": { "NumberOfInstances": 160, "NumberOfFeatures": 5, "NumberOfClasses": 3, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 4, "NumberOfSymbolicFeatures": 1, "REPTreeDepth3AUC": 0.8937344690304977, "DecisionStumpAUC": 0.5781459098327213, "MaxAttributeEntropy": null, "MinKurtosisOfNumericAtts": -1.488796554323729, "Quartile2MeansOfNumericAtts": 1.975, "REPTreeDepth3ErrRate": 0.2125, "DecisionStumpErrRate": 0.525, "MaxKurtosisOfNumericAtts": -0.49345197085051273, "MinMeansOfNumericAtts": 1.8250000000000004, "Quartile2MutualInformation": null, "REPTreeDepth3Kappa": 0.6646322668146231, "DecisionStumpKappa": 0.13702324386798503, "MaxMeansOfNumericAtts": 1.975, "MinMutualInformation": null, "Quartile2SkewnessOfNumericAtts": 0.6520274751287027, "RandomTreeDepth1AUC": 0.8607504111842106, "Dimensionality": 0.03125, "MaxMutualInformation": null, "MinNominalAttDistinctValues": 3, "PercentageOfBinaryFeatures": 0, "Quartile2StdDevOfNumericAtts": 0.9380161053182818, "RandomTreeDepth1ErrRate": 0.19375, "EquivalentNumberOfAtts": null, "MaxNominalAttDistinctValues": 3, "MinSkewnessOfNumericAtts": 0.3400447842467226, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": null, "RandomTreeDepth1Kappa": 0.6958734441106138, "J48.00001.AUC": 0.9174335252192982, "MaxSkewnessOfNumericAtts": 0.6520274751287028, "MinStdDevOfNumericAtts": 0.8359079724256618, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": -0.49345197085051273, "AutoCorrelation": 0.4088050314465409, "RandomTreeDepth2AUC": 0.8607504111842106, "J48.00001.ErrRate": 0.14375, "MaxStdDevOfNumericAtts": 0.938016105318282, "MinorityClassPercentage": 19.375, "PercentageOfNumericFeatures": 80, "Quartile3MeansOfNumericAtts": 1.975, "CfsSubsetEval_DecisionStumpAUC": 0.9174335252192982, "RandomTreeDepth2ErrRate": 0.19375, "J48.00001.Kappa": 0.7746340865944025, "MeanAttributeEntropy": null, "MinorityClassSize": 31, "PercentageOfSymbolicFeatures": 20, "Quartile3MutualInformation": null, "CfsSubsetEval_DecisionStumpErrRate": 0.14375, "RandomTreeDepth2Kappa": 0.6958734441106138, "J48.0001.AUC": 0.9174335252192982, "MeanKurtosisOfNumericAtts": -0.7422881167188174, "NaiveBayesAUC": 0.7894668470777233, "Quartile1AttributeEntropy": null, "Quartile3SkewnessOfNumericAtts": 0.6520274751287028, "CfsSubsetEval_DecisionStumpKappa": 0.7746340865944025, "CfsSubsetEval_NaiveBayesAUC": 0.9174335252192982, "RandomTreeDepth3AUC": 0.8607504111842106, "J48.0001.ErrRate": 0.14375, "MeanMeansOfNumericAtts": 1.9375000000000002, "NaiveBayesErrRate": 0.34375, "Quartile1KurtosisOfNumericAtts": -1.2399604084554254, "Quartile3StdDevOfNumericAtts": 0.938016105318282, "CfsSubsetEval_NaiveBayesErrRate": 0.14375, "RandomTreeDepth3ErrRate": 0.19375, "J48.0001.Kappa": 0.7746340865944025, "MeanMutualInformation": null, "NaiveBayesKappa": 0.45699123781315565, "Quartile1MeansOfNumericAtts": 1.8625000000000003, "REPTreeDepth1AUC": 0.8937344690304977, "CfsSubsetEval_NaiveBayesKappa": 0.7746340865944025, "RandomTreeDepth3Kappa": 0.6958734441106138, "J48.001.AUC": 0.9174335252192982, "MeanNoiseToSignalRatio": null, "NumberOfBinaryFeatures": 0, "Quartile1MutualInformation": null, "REPTreeDepth1ErrRate": 0.2125, "CfsSubsetEval_kNN1NAUC": 0.9174335252192982, "StdvNominalAttDistinctValues": 0, "J48.001.ErrRate": 0.14375, "MeanNominalAttDistinctValues": 3, "Quartile1SkewnessOfNumericAtts": 0.4180404569672176, "REPTreeDepth1Kappa": 0.6646322668146231, "REPTreeDepth2AUC": 0.8937344690304977, "CfsSubsetEval_kNN1NErrRate": 0.14375, "kNN1NAUC": 0.7268430854115667, "J48.001.Kappa": 0.7746340865944025, "MeanSkewnessOfNumericAtts": 0.5740318024082077, "Quartile1StdDevOfNumericAtts": 0.8614350056488168, "REPTreeDepth2ErrRate": 0.2125, "CfsSubsetEval_kNN1NKappa": 0.7746340865944025, "kNN1NErrRate": 0.36875, "MajorityClassPercentage": 40.625, "MeanStdDevOfNumericAtts": 0.9124890720951269, "Quartile2AttributeEntropy": null, "REPTreeDepth2Kappa": 0.6646322668146231, "ClassEntropy": 1.5154656357070955, "kNN1NKappa": 0.40044458558272467, "MajorityClassSize": 65, "MinAttributeEntropy": null, "Quartile2KurtosisOfNumericAtts": -0.49345197085051407 }, "tags": [ { "uploader": "38960", "tag": "Animals" }, { "uploader": "38960", "tag": "Data Science" }, { "uploader": "38960", "tag": "Psychology" }, { "uploader": "2", "tag": "study_1" }, { "uploader": "64", "tag": "study_50" }, { "uploader": "64", "tag": "study_52" }, { "uploader": "64", "tag": "study_7" }, { "uploader": "4209", "tag": "study_88" }, { "uploader": "9180", "tag": "uci" } ], "features": [ { "name": "class", "index": "4", "type": "nominal", "distinct": "3", "missing": "0", "target": "1", "distr": [ [ "1", "2", "3", "4" ], [ [ "65", "0", "0", "0" ], [ "0", "64", "0", "0" ], [ "0", "0", "31", "0" ], [ "0", "0", "0", "0" ] ] ] }, { "name": "hobby", "index": "0", "type": "numeric", "distinct": "3", "missing": "0", "min": "1", "max": "3", "mean": "2", "stdev": "1" }, { "name": "age", "index": "1", "type": "numeric", "distinct": "4", "missing": "0", "min": "1", "max": "4", "mean": "2", "stdev": "1" }, { "name": "educational_level", "index": "2", "type": "numeric", "distinct": "4", "missing": "0", "min": "1", "max": "4", "mean": "2", "stdev": "1" }, { "name": "marital_status", "index": "3", "type": "numeric", "distinct": "4", "missing": "0", "min": "1", "max": "4", "mean": "2", "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 }