DEVELOPMENT... { "data_id": "790", "name": "elusage", "exact_name": "elusage", "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": "Felicia West", "uploader_id": 2, "visibility": "public", "creator": null, "contributor": null, "date": "2014-10-04 14:33:33", "update_comment": null, "last_update": "2014-10-04 14:33:33", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/53324\/elusage.arff", "default_target_attribute": "binaryClass", "row_id_attribute": null, "ignore_attribute": null, "runs": 766, "suggest": { "input": [ "elusage", "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": 55, "NumberOfFeatures": 3, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 1, "NumberOfSymbolicFeatures": 2, "AutoCorrelation": 0.8333333333333334, "CfsSubsetEval_DecisionStumpAUC": 0.9153225806451613, "CfsSubsetEval_DecisionStumpErrRate": 0.09090909090909091, "CfsSubsetEval_DecisionStumpKappa": 0.8160535117056855, "CfsSubsetEval_NaiveBayesAUC": 0.9153225806451613, "CfsSubsetEval_NaiveBayesErrRate": 0.09090909090909091, "CfsSubsetEval_NaiveBayesKappa": 0.8160535117056855, "CfsSubsetEval_kNN1NAUC": 0.9153225806451613, "CfsSubsetEval_kNN1NErrRate": 0.09090909090909091, "CfsSubsetEval_kNN1NKappa": 0.8160535117056855, "ClassEntropy": 0.9882836109919162, "DecisionStumpAUC": 0.9099462365591398, "DecisionStumpErrRate": 0.09090909090909091, "DecisionStumpKappa": 0.8160535117056855, "Dimensionality": 0.05454545454545454, "EquivalentNumberOfAtts": 1.40649661746536, "J48.00001.AUC": 0.9099462365591398, "J48.00001.ErrRate": 0.09090909090909091, "J48.00001.Kappa": 0.8160535117056855, "J48.0001.AUC": 0.9099462365591398, "J48.0001.ErrRate": 0.09090909090909091, "J48.0001.Kappa": 0.8160535117056855, "J48.001.AUC": 0.9099462365591398, "J48.001.ErrRate": 0.09090909090909091, "J48.001.Kappa": 0.8160535117056855, "MajorityClassPercentage": 56.36363636363636, "MajorityClassSize": 31, "MaxAttributeEntropy": 3.576496380414521, "MaxKurtosisOfNumericAtts": -1.2958937271384918, "MaxMeansOfNumericAtts": 53.81818181818182, "MaxMutualInformation": 0.70265623018198, "MaxNominalAttDistinctValues": 12, "MaxSkewnessOfNumericAtts": -0.06953450415002152, "MaxStdDevOfNumericAtts": 15.543357410674169, "MeanAttributeEntropy": 3.576496380414521, "MeanKurtosisOfNumericAtts": -1.2958937271384918, "MeanMeansOfNumericAtts": 53.81818181818182, "MeanMutualInformation": 0.70265623018198, "MeanNoiseToSignalRatio": 4.089966084109507, "MeanNominalAttDistinctValues": 7, "MeanSkewnessOfNumericAtts": -0.06953450415002152, "MeanStdDevOfNumericAtts": 15.543357410674169, "MinAttributeEntropy": 3.576496380414521, "MinKurtosisOfNumericAtts": -1.2958937271384918, "MinMeansOfNumericAtts": 53.81818181818182, "MinMutualInformation": 0.70265623018198, "MinNominalAttDistinctValues": 2, "MinSkewnessOfNumericAtts": -0.06953450415002152, "MinStdDevOfNumericAtts": 15.543357410674169, "MinorityClassPercentage": 43.63636363636363, "MinorityClassSize": 24, "NaiveBayesAUC": 0.9764784946236559, "NaiveBayesErrRate": 0.09090909090909091, "NaiveBayesKappa": 0.8160535117056855, "NumberOfBinaryFeatures": 1, "PercentageOfBinaryFeatures": 33.33333333333333, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "PercentageOfNumericFeatures": 33.33333333333333, "PercentageOfSymbolicFeatures": 66.66666666666666, "Quartile1AttributeEntropy": 3.576496380414521, "Quartile1KurtosisOfNumericAtts": -1.2958937271384918, "Quartile1MeansOfNumericAtts": 53.81818181818182, "Quartile1MutualInformation": 0.70265623018198, "Quartile1SkewnessOfNumericAtts": -0.06953450415002152, "Quartile1StdDevOfNumericAtts": 15.543357410674169, "Quartile2AttributeEntropy": 3.576496380414521, "Quartile2KurtosisOfNumericAtts": -1.2958937271384918, "Quartile2MeansOfNumericAtts": 53.81818181818182, "Quartile2MutualInformation": 0.70265623018198, "Quartile2SkewnessOfNumericAtts": -0.06953450415002152, "Quartile2StdDevOfNumericAtts": 15.543357410674169, "Quartile3AttributeEntropy": 3.576496380414521, "Quartile3KurtosisOfNumericAtts": -1.2958937271384918, "Quartile3MeansOfNumericAtts": 53.81818181818182, "Quartile3MutualInformation": 0.70265623018198, "Quartile3SkewnessOfNumericAtts": -0.06953450415002152, "Quartile3StdDevOfNumericAtts": 15.543357410674169, "REPTreeDepth1AUC": 0.8891129032258065, "REPTreeDepth1ErrRate": 0.10909090909090909, "REPTreeDepth1Kappa": 0.7782258064516128, "REPTreeDepth2AUC": 0.8891129032258065, "REPTreeDepth2ErrRate": 0.10909090909090909, "REPTreeDepth2Kappa": 0.7782258064516128, "REPTreeDepth3AUC": 0.8891129032258065, "REPTreeDepth3ErrRate": 0.10909090909090909, "REPTreeDepth3Kappa": 0.7782258064516128, "RandomTreeDepth1AUC": 0.8575268817204301, "RandomTreeDepth1ErrRate": 0.12727272727272726, "RandomTreeDepth1Kappa": 0.7400405131667791, "RandomTreeDepth2AUC": 0.8575268817204301, "RandomTreeDepth2ErrRate": 0.12727272727272726, "RandomTreeDepth2Kappa": 0.7400405131667791, "RandomTreeDepth3AUC": 0.8575268817204301, "RandomTreeDepth3ErrRate": 0.12727272727272726, "RandomTreeDepth3Kappa": 0.7400405131667791, "StdvNominalAttDistinctValues": 7.0710678118654755, "kNN1NAUC": 0.8904569892473119, "kNN1NErrRate": 0.12727272727272726, "kNN1NKappa": 0.7400405131667791 }, "tags": [ { "tag": "binarized", "uploader": "1" }, { "tag": "mythbusting_1", "uploader": "1" }, { "tag": "study_1", "uploader": "2" }, { "tag": "study_123", "uploader": "3886" }, { "tag": "study_15", "uploader": "939" }, { "tag": "study_20", "uploader": "939" }, { "tag": "study_41", "uploader": "1" } ], "features": [ { "name": "binaryClass", "index": "2", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "P", "N" ], [ [ "31", "0" ], [ "0", "24" ] ] ] }, { "name": "average_temperature", "index": "0", "type": "numeric", "distinct": "37", "missing": "0", "min": "24", "max": "79", "mean": "54", "stdev": "16" }, { "name": "month", "index": "1", "type": "nominal", "distinct": "12", "missing": "0", "distr": [ [ "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12" ], [ [ "0", "5" ], [ "0", "5" ], [ "1", "3" ], [ "2", "2" ], [ "4", "0" ], [ "4", "0" ], [ "4", "0" ], [ "5", "0" ], [ "5", "0" ], [ "4", "1" ], [ "2", "3" ], [ "0", "5" ] ] ] } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 5, "total_downloads": 6, "reach": 5, "reuse": 14, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 14 }