{ "data_id": "820", "name": "chatfield_4", "exact_name": "chatfield_4", "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 14:34:22", "update_comment": null, "last_update": "2014-10-04 14:34:22", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/53354\/chatfield_4.arff", "kaggle_url": null, "default_target_attribute": "binaryClass", "row_id_attribute": null, "ignore_attribute": null, "runs": 810, "suggest": { "input": [ "chatfield_4", "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": 235, "NumberOfFeatures": 13, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 12, "NumberOfSymbolicFeatures": 1, "Quartile1SkewnessOfNumericAtts": 0.943489868776042, "REPTreeDepth1Kappa": 0.777149793270872, "CfsSubsetEval_kNN1NAUC": 0.9015220354384371, "StdvNominalAttDistinctValues": 0, "J48.001.ErrRate": 0.1148936170212766, "MeanNominalAttDistinctValues": 2, "Quartile1StdDevOfNumericAtts": 42.56775165652132, "REPTreeDepth2AUC": 0.9044373769498714, "CfsSubsetEval_kNN1NErrRate": 0.09787234042553192, "kNN1NAUC": 0.875662577616235, "J48.001.Kappa": 0.7628480657820967, "MeanSkewnessOfNumericAtts": 0.9872729349034098, "Quartile2AttributeEntropy": null, "REPTreeDepth2ErrRate": 0.10638297872340426, "CfsSubsetEval_kNN1NKappa": 0.7972389991371872, "kNN1NErrRate": 0.10212765957446808, "MajorityClassPercentage": 60.42553191489362, "MeanStdDevOfNumericAtts": 45.410321076753256, "Quartile2KurtosisOfNumericAtts": 0.6494899932734246, "REPTreeDepth2Kappa": 0.777149793270872, "ClassEntropy": 0.9684069022981412, "kNN1NKappa": 0.7824241956639147, "MajorityClassSize": 142, "MinAttributeEntropy": null, "Quartile2MeansOfNumericAtts": 51.507446808510636, "REPTreeDepth3AUC": 0.9044373769498714, "DecisionStumpAUC": 0.8953505982129335, "MaxAttributeEntropy": null, "MinKurtosisOfNumericAtts": -1.200000000000001, "Quartile2MutualInformation": null, "REPTreeDepth3ErrRate": 0.10638297872340426, "DecisionStumpErrRate": 0.10638297872340426, "MaxKurtosisOfNumericAtts": 2.033520473054053, "MinMeansOfNumericAtts": 49.11191489361702, "Quartile2SkewnessOfNumericAtts": 1.0382484713200821, "REPTreeDepth3Kappa": 0.777149793270872, "DecisionStumpKappa": 0.7820117991911245, "MaxMeansOfNumericAtts": 1866, "MinMutualInformation": null, "PercentageOfBinaryFeatures": 7.6923076923076925, "Quartile2StdDevOfNumericAtts": 43.32996113332571, "RandomTreeDepth1AUC": 0.8760033318188702, "Dimensionality": 0.05531914893617021, "MaxMutualInformation": null, "MinNominalAttDistinctValues": 2, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": null, "RandomTreeDepth1ErrRate": 0.13191489361702127, "EquivalentNumberOfAtts": null, "MaxNominalAttDistinctValues": 2, "MinSkewnessOfNumericAtts": 0, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": 1.2974024264104842, "AutoCorrelation": 0.7735042735042735, "RandomTreeDepth1Kappa": 0.7316462224186835, "J48.00001.AUC": 0.8656292594275331, "MaxSkewnessOfNumericAtts": 1.3073869469687087, "MinStdDevOfNumericAtts": 40.68973220561795, "PercentageOfNumericFeatures": 92.3076923076923, "Quartile3MeansOfNumericAtts": 52.22755319148936, "CfsSubsetEval_DecisionStumpAUC": 0.9015220354384371, "RandomTreeDepth2AUC": 0.8760033318188702, "J48.00001.ErrRate": 0.1148936170212766, "MaxStdDevOfNumericAtts": 67.98284097231203, "MinorityClassPercentage": 39.57446808510638, "PercentageOfSymbolicFeatures": 7.6923076923076925, "Quartile3MutualInformation": null, "CfsSubsetEval_DecisionStumpErrRate": 0.09787234042553192, "RandomTreeDepth2ErrRate": 0.13191489361702127, "J48.00001.Kappa": 0.7628480657820967, "MeanAttributeEntropy": null, "MinorityClassSize": 93, "Quartile1AttributeEntropy": null, "Quartile3SkewnessOfNumericAtts": 1.182409757240932, "CfsSubsetEval_DecisionStumpKappa": 0.7972389991371872, "RandomTreeDepth2Kappa": 0.7316462224186835, "J48.0001.AUC": 0.8656292594275331, "MeanKurtosisOfNumericAtts": 0.7219777292935543, "NaiveBayesAUC": 0.9406411012402487, "Quartile1KurtosisOfNumericAtts": 0.2995127946922531, "Quartile3StdDevOfNumericAtts": 45.00449222595071, "CfsSubsetEval_NaiveBayesAUC": 0.9015220354384371, "RandomTreeDepth3AUC": 0.8760033318188702, "J48.0001.ErrRate": 0.1148936170212766, "MeanMeansOfNumericAtts": 202.473085106383, "NaiveBayesErrRate": 0.13191489361702127, "Quartile1MeansOfNumericAtts": 50.732021276595745, "REPTreeDepth1AUC": 0.9044373769498714, "CfsSubsetEval_NaiveBayesErrRate": 0.09787234042553192, "RandomTreeDepth3ErrRate": 0.13191489361702127, "J48.0001.Kappa": 0.7628480657820967, "MeanMutualInformation": null, "NaiveBayesKappa": 0.7236657436558814, "Quartile1MutualInformation": null, "REPTreeDepth1ErrRate": 0.10638297872340426, "CfsSubsetEval_NaiveBayesKappa": 0.7972389991371872, "RandomTreeDepth3Kappa": 0.7316462224186835, "J48.001.AUC": 0.8656292594275331, "MeanNoiseToSignalRatio": null, "NumberOfBinaryFeatures": 1 }, "tags": [ { "uploader": "1", "tag": "binarized" }, { "uploader": "38960", "tag": "Healthcare" }, { "uploader": "1", "tag": "mythbusting_1" }, { "uploader": "2", "tag": "study_1" }, { "uploader": "3886", "tag": "study_123" }, { "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": "12", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "P", "N" ], [ [ "142", "0" ], [ "0", "93" ] ] ] }, { "name": "col_1", "index": "0", "type": "numeric", "distinct": "235", "missing": "0", "min": "1749", "max": "1983", "mean": "1866", "stdev": "68" }, { "name": "col_2", "index": "1", "type": "numeric", "distinct": "203", "missing": "0", "min": "0", "max": "217", "mean": "49", "stdev": "43" }, { "name": "col_3", "index": "2", "type": "numeric", "distinct": "211", "missing": "0", "min": "0", "max": "182", "mean": "51", "stdev": "42" }, { "name": "col_4", "index": "3", "type": "numeric", "distinct": "209", "missing": "0", "min": "0", "max": "191", "mean": "50", "stdev": "41" }, { "name": "col_5", "index": "4", "type": "numeric", "distinct": "202", "missing": "0", "min": "0", "max": "196", "mean": "51", "stdev": "43" }, { "name": "col_6", "index": "5", "type": "numeric", "distinct": "207", "missing": "0", "min": "0", "max": "239", "mean": "52", "stdev": "45" }, { "name": "col_7", "index": "6", "type": "numeric", "distinct": "205", "missing": "0", "min": "0", "max": "201", "mean": "52", "stdev": "43" }, { "name": "col_8", "index": "7", "type": "numeric", "distinct": "215", "missing": "0", "min": "0", "max": "191", "mean": "51", "stdev": "44" }, { "name": "col_9", "index": "8", "type": "numeric", "distinct": "202", "missing": "0", "min": "0", "max": "200", "mean": "52", "stdev": "45" }, { "name": "col_10", "index": "9", "type": "numeric", "distinct": "200", "missing": "0", "min": "0", "max": "236", "mean": "52", "stdev": "46" }, { "name": "col_11", "index": "10", "type": "numeric", "distinct": "207", "missing": "0", "min": "0", "max": "254", "mean": "52", "stdev": "44" }, { "name": "col_12", "index": "11", "type": "numeric", "distinct": "209", "missing": "0", "min": "0", "max": "211", "mean": "51", "stdev": "43" } ], "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 }