{ "data_id": "767", "name": "analcatdata_apnea1", "exact_name": "analcatdata_apnea1", "version": 2, "version_label": null, "description": "**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nBinarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N').", "format": "ARFF", "uploader": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": null, "contributor": null, "date": "2014-10-04 14:32:56", "update_comment": null, "last_update": "2014-10-04 14:32:56", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/53301\/analcatdata_apnea1.arff", "default_target_attribute": "binaryClass", "row_id_attribute": null, "ignore_attribute": null, "runs": 739, "suggest": { "input": [ "analcatdata_apnea1", "Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N'). " ], "weight": 5 }, "qualities": { "NumberOfInstances": 475, "NumberOfFeatures": 4, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 1, "NumberOfSymbolicFeatures": 3, "REPTreeDepth3Kappa": 0.7368852963502451, "DecisionStumpKappa": 0, "MaxMeansOfNumericAtts": 10, "MinMutualInformation": 0.1208221274274, "Quartile2SkewnessOfNumericAtts": 0, "RandomTreeDepth1AUC": 0.8050011879306248, "Dimensionality": 0.008421052631578947, "MaxMutualInformation": 0.12964800958887, "MinNominalAttDistinctValues": 2, "PercentageOfBinaryFeatures": 25, "Quartile2StdDevOfNumericAtts": 5.483000195079379, "RandomTreeDepth1ErrRate": 0.09473684210526316, "EquivalentNumberOfAtts": 4.4164303709610655, "MaxNominalAttDistinctValues": 5, "MinSkewnessOfNumericAtts": 0, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": 2.321928094887362, "RandomTreeDepth1Kappa": 0.5797369300642932, "J48.00001.AUC": 0.8549734695493785, "MaxSkewnessOfNumericAtts": 0, "MinStdDevOfNumericAtts": 5.483000195079379, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": -1.2067266277278035, "AutoCorrelation": 0.7974683544303798, "RandomTreeDepth2AUC": 0.8050011879306248, "J48.00001.ErrRate": 0.056842105263157895, "MaxStdDevOfNumericAtts": 5.483000195079379, "MinorityClassPercentage": 12.842105263157894, "PercentageOfNumericFeatures": 25, "Quartile3MeansOfNumericAtts": 10, "CfsSubsetEval_DecisionStumpAUC": 0.9138750296982656, "RandomTreeDepth2ErrRate": 0.09473684210526316, "J48.00001.Kappa": 0.7368852963502451, "MeanAttributeEntropy": 2.321928094887362, "MinorityClassSize": 61, "PercentageOfSymbolicFeatures": 75, "Quartile3MutualInformation": 0.12964800958887, "CfsSubsetEval_DecisionStumpErrRate": 0.05473684210526316, "RandomTreeDepth2Kappa": 0.5797369300642932, "J48.0001.AUC": 0.8549734695493785, "MeanKurtosisOfNumericAtts": -1.2067266277278035, "NaiveBayesAUC": 0.9151421556981072, "Quartile1AttributeEntropy": 2.321928094887362, "Quartile3SkewnessOfNumericAtts": 0, "CfsSubsetEval_DecisionStumpKappa": 0.7484520123839008, "RandomTreeDepth3AUC": 0.8050011879306248, "J48.0001.ErrRate": 0.056842105263157895, "MeanMeansOfNumericAtts": 10, "NaiveBayesErrRate": 0.07157894736842105, "Quartile1KurtosisOfNumericAtts": -1.2067266277278035, "Quartile3StdDevOfNumericAtts": 5.483000195079379, "CfsSubsetEval_NaiveBayesAUC": 0.9138750296982656, "RandomTreeDepth3ErrRate": 0.09473684210526316, "J48.0001.Kappa": 0.7368852963502451, "MeanMutualInformation": 0.12523506850813498, "NaiveBayesKappa": 0.595420612255123, "Quartile1MeansOfNumericAtts": 10, "REPTreeDepth1AUC": 0.9135186505108102, "CfsSubsetEval_NaiveBayesErrRate": 0.05473684210526316, "RandomTreeDepth3Kappa": 0.5797369300642932, "J48.001.AUC": 0.8549734695493785, "MeanNoiseToSignalRatio": 17.540558347972116, "NumberOfBinaryFeatures": 1, "Quartile1MutualInformation": 0.1208221274274, "REPTreeDepth1ErrRate": 0.056842105263157895, "CfsSubsetEval_NaiveBayesKappa": 0.7484520123839008, "CfsSubsetEval_kNN1NAUC": 0.9138750296982656, "StdvNominalAttDistinctValues": 1.7320508075688772, "J48.001.ErrRate": 0.056842105263157895, "MeanNominalAttDistinctValues": 4, "Quartile1SkewnessOfNumericAtts": 0, "REPTreeDepth1Kappa": 0.7368852963502451, "CfsSubsetEval_kNN1NErrRate": 0.05473684210526316, "kNN1NAUC": 0.8363229587392096, "J48.001.Kappa": 0.7368852963502451, "MeanSkewnessOfNumericAtts": 0, "Quartile1StdDevOfNumericAtts": 5.483000195079379, "REPTreeDepth2AUC": 0.9135186505108102, "CfsSubsetEval_kNN1NKappa": 0.7484520123839008, "kNN1NErrRate": 0.08210526315789474, "MajorityClassPercentage": 87.1578947368421, "MeanStdDevOfNumericAtts": 5.483000195079379, "Quartile2AttributeEntropy": 2.321928094887362, "REPTreeDepth2ErrRate": 0.056842105263157895, "ClassEntropy": 0.5530919600687171, "kNN1NKappa": 0.6253715949766423, "MajorityClassSize": 414, "MinAttributeEntropy": 2.321928094887362, "Quartile2KurtosisOfNumericAtts": -1.2067266277278035, "REPTreeDepth2Kappa": 0.7368852963502451, "REPTreeDepth3AUC": 0.9135186505108102, "DecisionStumpAUC": 0.6730814920408648, "MaxAttributeEntropy": 2.321928094887362, "MinKurtosisOfNumericAtts": -1.2067266277278035, "Quartile2MeansOfNumericAtts": 10, "REPTreeDepth3ErrRate": 0.056842105263157895, "DecisionStumpErrRate": 0.12842105263157894, "MaxKurtosisOfNumericAtts": -1.2067266277278035, "MinMeansOfNumericAtts": 10, "Quartile2MutualInformation": 0.12523506850813498 }, "tags": [ { "uploader": "38960", "tag": "Chemistry" }, { "uploader": "38960", "tag": "Life Science" }, { "uploader": "1", "tag": "mythbusting_1" }, { "uploader": "2", "tag": "study_1" }, { "uploader": "4209", "tag": "study_127" }, { "uploader": "939", "tag": "study_15" }, { "uploader": "939", "tag": "study_20" }, { "uploader": "1", "tag": "study_41" }, { "uploader": "64", "tag": "study_7" }, { "uploader": "4209", "tag": "study_88" } ], "features": [ { "name": "binaryClass", "index": "3", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "P", "N" ], [ [ "414", "0" ], [ "0", "61" ] ] ] }, { "name": "Scorer_1", "index": "0", "type": "nominal", "distinct": "5", "missing": "0", "distr": [ [ "CA", "H", "MA", "N", "OA" ], [ [ "65", "30" ], [ "92", "3" ], [ "94", "1" ], [ "69", "26" ], [ "94", "1" ] ] ] }, { "name": "Scorer_2", "index": "1", "type": "nominal", "distinct": "5", "missing": "0", "distr": [ [ "CA", "H", "MA", "N", "OA" ], [ [ "75", "20" ], [ "89", "6" ], [ "95", "0" ], [ "62", "33" ], [ "93", "2" ] ] ] }, { "name": "Subject", "index": "2", "type": "numeric", "distinct": "19", "missing": "0", "min": "1", "max": "19", "mean": "10", "stdev": "5" } ], "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 }