{ "data_id": "84", "name": "steel-plates-fault", "exact_name": "steel-plates-fault", "version": 1, "version_label": null, "description": "**Author**: Semeion, Research Center of Sciences of Communication, Rome, Italy. \n**Source**: UCI \n**Please cite**: Dataset provided by Semeion, Research Center of Sciences of Communication, Via Sersale 117, 00128, Rome, Italy. \n(www.semeion.it) \n\n\n* Title: Steel Plates Faults Data Set \n\n* Abstract: \n\nA dataset of steel plates' faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.\n\n* Source:\n\nSemeion, Research Center of Sciences of Communication, Via Sersale 117, 00128, Rome, Italy. \nwww.semeion.it\n\n\n* Data Set Information:\n\nType of dependent variables (7 Types of Steel Plates Faults): \n1.Pastry \n2.Z_Scratch \n3.K_Scatch \n4.Stains \n5.Dirtiness \n6.Bumps \n7.Other_Faults \n\n\nAttribute Information:\n\n27 independent variables: \nX_Minimum \nX_Maximum \nY_Minimum \nY_Maximum \nPixels_Areas \nX_Perimeter \nY_Perimeter \nSum_of_Luminosity \nMinimum_of_Luminosity \nMaximum_of_Luminosity \nLength_of_Conveyer \nTypeOfSteel_A300 \nTypeOfSteel_A400 \nSteel_Plate_Thickness \nEdges_Index \nEmpty_Index \nSquare_Index \nOutside_X_Index \nEdges_X_Index \nEdges_Y_Index \nOutside_Global_Index \nLogOfAreas \nLog_X_Index \nLog_Y_Index \nOrientation_Index \nLuminosity_Index \nSigmoidOfAreas \n\n\n* Relevant Papers:\n\n1.M Buscema, S Terzi, W Tastle, A New Meta-Classifier,in NAFIPS 2010, Toronto (CANADA),26-28 July 2010, 978-1-4244-7858-6\/10 \u00c2\u00a92010 IEEE \n2.M Buscema, MetaNet: The Theory of Independent Judges, in Substance Use & Misuse, 33(2), 439-461,1998\n\n", "format": "ARFF", "uploader": "Rafael Gomes Mantovani", "uploader_id": 64, "visibility": "public", "creator": null, "contributor": null, "date": "2015-05-25 22:42:40", "update_comment": null, "last_update": "2015-11-09 20:17:37", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1592296\/php9xWOpn", "default_target_attribute": "Class", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "steel-plates-fault", "(www.semeion.it) * Title: Steel Plates Faults Data Set * Abstract: A dataset of steel plates' faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition. * Source: Semeion, Research Center of Sciences of Communication, Via Sersale 117, 00128, Rome, Italy. www.semeion.it * Data Set Information: Type of dependent variables (7 Types of Steel Plates Faults): 1.Pastry 2.Z_Scratch 3.K_Scatch 4.Stains 5.Dirtiness 6.Bumps 7.Other_Faults Attribute " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1941, "NumberOfFeatures": 34, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 33, "NumberOfSymbolicFeatures": 1, "AutoCorrelation": 0.9994845360824742, "CfsSubsetEval_DecisionStumpAUC": 0.9957450747863749, "CfsSubsetEval_DecisionStumpErrRate": 0.01287995878413189, "CfsSubsetEval_DecisionStumpKappa": 0.9716573320335522, "CfsSubsetEval_NaiveBayesAUC": 0.9957450747863749, "CfsSubsetEval_NaiveBayesErrRate": 0.01287995878413189, "CfsSubsetEval_NaiveBayesKappa": 0.9716573320335522, "CfsSubsetEval_kNN1NAUC": 0.9957450747863749, "CfsSubsetEval_kNN1NErrRate": 0.01287995878413189, "CfsSubsetEval_kNN1NKappa": 0.9716573320335522, "ClassEntropy": 0.9311123348674444, "DecisionStumpAUC": 0.649386428300233, "DecisionStumpErrRate": 0.3467284904688305, "DecisionStumpKappa": 0, "Dimensionality": 0.01751674394641937, "EquivalentNumberOfAtts": null, "J48.00001.AUC": 1, "J48.00001.ErrRate": 0, "J48.00001.Kappa": 1, "J48.0001.AUC": 1, "J48.0001.ErrRate": 0, "J48.0001.Kappa": 1, "J48.001.AUC": 1, "J48.001.ErrRate": 0, "J48.001.Kappa": 1, "MajorityClassPercentage": 65.32715095311696, "MajorityClassSize": 1268, "MaxAttributeEntropy": null, "MaxKurtosisOfNumericAtts": 1663.0518475718168, "MaxMeansOfNumericAtts": 1650738.7053065428, "MaxMutualInformation": null, "MaxNominalAttDistinctValues": 2, "MaxSkewnessOfNumericAtts": 39.29315840666627, "MaxStdDevOfNumericAtts": 1774590.0890002127, "MeanAttributeEntropy": null, "MeanKurtosisOfNumericAtts": 91.64638873109897, "MeanMeansOfNumericAtts": 106447.78586589223, "MeanMutualInformation": null, "MeanNoiseToSignalRatio": null, "MeanNominalAttDistinctValues": 2, "MeanSkewnessOfNumericAtts": 3.6458966474516092, "MeanStdDevOfNumericAtts": 123291.94556078123, "MinAttributeEntropy": null, "MinKurtosisOfNumericAtts": -1.8563564132863728, "MinMeansOfNumericAtts": -0.13130504894384337, "MinMutualInformation": null, "MinNominalAttDistinctValues": 2, "MinSkewnessOfNumericAtts": -0.9285824124769803, "MinStdDevOfNumericAtts": 0.05896116935205036, "MinorityClassPercentage": 34.672849046883044, "MinorityClassSize": 673, "NaiveBayesAUC": 0.8773886527469534, "NaiveBayesErrRate": 0.3317877382792375, "NaiveBayesKappa": 0.38794540294607877, "NumberOfBinaryFeatures": 1, "PercentageOfBinaryFeatures": 2.941176470588235, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "PercentageOfNumericFeatures": 97.05882352941177, "PercentageOfSymbolicFeatures": 2.941176470588235, "Quartile1AttributeEntropy": null, "Quartile1KurtosisOfNumericAtts": -1.0610900871365136, "Quartile1MeansOfNumericAtts": 0.20427614631633056, "Quartile1MutualInformation": null, "Quartile1SkewnessOfNumericAtts": 0.20962814019436693, "Quartile1StdDevOfNumericAtts": 0.2722896631818028, "Quartile2AttributeEntropy": null, "Quartile2KurtosisOfNumericAtts": 0.18930051226112798, "Quartile2MeansOfNumericAtts": 0.6105286450283357, "Quartile2MutualInformation": null, "Quartile2SkewnessOfNumericAtts": 0.8514222506284619, "Quartile2StdDevOfNumericAtts": 0.48235199045249033, "Quartile3AttributeEntropy": null, "Quartile3KurtosisOfNumericAtts": 11.357384183179548, "Quartile3MeansOfNumericAtts": 121.0244719216897, "Quartile3MutualInformation": null, "Quartile3SkewnessOfNumericAtts": 2.9375932293060005, "Quartile3StdDevOfNumericAtts": 222.89350520599646, "REPTreeDepth1AUC": 1, "REPTreeDepth1ErrRate": 0, "REPTreeDepth1Kappa": 1, "REPTreeDepth2AUC": 1, "REPTreeDepth2ErrRate": 0, "REPTreeDepth2Kappa": 1, "REPTreeDepth3AUC": 1, "REPTreeDepth3ErrRate": 0, "REPTreeDepth3Kappa": 1, "RandomTreeDepth1AUC": 0.9341301015744745, "RandomTreeDepth1ErrRate": 0.05873261205564142, "RandomTreeDepth1Kappa": 0.8700801687218684, "RandomTreeDepth2AUC": 0.9341301015744745, "RandomTreeDepth2ErrRate": 0.05873261205564142, "RandomTreeDepth2Kappa": 0.8700801687218684, "RandomTreeDepth3AUC": 0.9341301015744745, "RandomTreeDepth3ErrRate": 0.05873261205564142, "RandomTreeDepth3Kappa": 0.8700801687218684, "StdvNominalAttDistinctValues": 0, "kNN1NAUC": 0.9964475886022844, "kNN1NErrRate": 0.0061823802163833074, "kNN1NKappa": 0.9864096884940965 }, "tags": [ { "tag": "study_14", "uploader": "1" }, { "tag": "study_1", "uploader": "0" }, { "tag": "study_79", "uploader": "0" }, { "tag": "study_117", "uploader": "0" }, { "tag": "study_134", "uploader": "0" }, { "tag": "study_286", "uploader": "0" }, { "tag": "study_105", "uploader": "0" }, { "tag": "study_106", "uploader": "0" }, { "tag": "study_509", "uploader": "0" }, { "tag": "study_113", "uploader": "0" }, { "tag": "study_617", "uploader": "0" } ], "features": [ { "name": "Class", "index": "33", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "1", "2" ], [ [ "1268", "0" ], [ "0", "673" ] ] ] }, { "name": "V19", "index": "18", "type": "numeric", "distinct": "818", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "V18", "index": "17", "type": "numeric", "distinct": "454", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V20", "index": "19", "type": "numeric", "distinct": "648", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "V21", "index": "20", "type": "numeric", "distinct": "3", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "V22", "index": "21", "type": "numeric", "distinct": "914", "missing": "0", "min": "0", "max": "5", "mean": "2", "stdev": "1" }, { "name": "V23", "index": "22", "type": "numeric", "distinct": "183", "missing": "0", "min": "0", "max": "3", "mean": "1", "stdev": "0" }, { "name": "V24", "index": "23", "type": "numeric", "distinct": "217", "missing": "0", "min": "0", "max": "4", "mean": "1", "stdev": "0" }, { "name": "V25", "index": "24", "type": "numeric", "distinct": "918", "missing": "0", "min": "-1", "max": "1", "mean": "0", "stdev": "1" }, { "name": "V26", "index": "25", "type": "numeric", "distinct": "1522", "missing": "0", "min": "-1", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V27", "index": "26", "type": "numeric", "distinct": "388", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "V28", "index": "27", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V29", "index": "28", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V30", "index": "29", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V31", "index": "30", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V32", "index": "31", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V33", "index": "32", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V10", "index": "9", "type": "numeric", "distinct": "100", "missing": "0", "min": "37", "max": "253", "mean": "130", "stdev": "19" }, { "name": "V2", "index": "1", "type": "numeric", "distinct": "994", "missing": "0", "min": "4", "max": "1713", "mean": "618", "stdev": "498" }, { "name": "V3", "index": "2", "type": "numeric", "distinct": "1939", "missing": "0", "min": "6712", "max": "12987661", "mean": "1650685", "stdev": "1774578" }, { "name": "V4", "index": "3", "type": "numeric", "distinct": "1940", "missing": "0", "min": "6724", "max": "12987692", "mean": "1650739", "stdev": "1774590" }, { "name": "V5", "index": "4", "type": "numeric", "distinct": "920", "missing": "0", "min": "2", "max": "152655", "mean": "1894", "stdev": "5168" }, { "name": "V6", "index": "5", "type": "numeric", "distinct": "399", "missing": "0", "min": "2", "max": "10449", "mean": "112", "stdev": "301" }, { "name": "V7", "index": "6", "type": "numeric", "distinct": "317", "missing": "0", "min": "1", "max": "18152", "mean": "83", "stdev": "426" }, { "name": "V8", "index": "7", "type": "numeric", "distinct": "1909", "missing": "0", "min": "250", "max": "11591414", "mean": "206312", "stdev": "512294" }, { "name": "V9", "index": "8", "type": "numeric", "distinct": "161", "missing": "0", "min": "0", "max": "203", "mean": "85", "stdev": "32" }, { "name": "V1", "index": "0", "type": "numeric", "distinct": "962", "missing": "0", "min": "0", "max": "1705", "mean": "571", "stdev": "521" }, { "name": "V11", "index": "10", "type": "numeric", "distinct": "84", "missing": "0", "min": "1227", "max": "1794", "mean": "1459", "stdev": "145" }, { "name": "V12", "index": "11", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V13", "index": "12", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "V14", "index": "13", "type": "numeric", "distinct": "24", "missing": "0", "min": "40", "max": "300", "mean": "79", "stdev": "55" }, { "name": "V15", "index": "14", "type": "numeric", "distinct": "1387", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V16", "index": "15", "type": "numeric", "distinct": "1338", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "V17", "index": "16", "type": "numeric", "distinct": "770", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 12, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 12 }