DEVELOPMENT... { "data_id": "23381", "name": "dresses-sales", "exact_name": "dresses-sales", "version": 2, "version_label": null, "description": "**Author**: Muhammad Usman & Adeel Ahmed \n**Source**: origin source at [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/Dresses_Attribute_Sales) \n**Please cite**: [Paper that claims to first have used the data](https:\/\/www.researchgate.net\/profile\/Dalia_Jasim\/publication\/293464737_main_steps_for_doing_data_mining_project_using_weka\/links\/56b8782008ae44bb330d2583\/main-steps-for-doing-data-mining-project-using-weka.pdf)\n\n####1. Summary\n\nThis dataset contain attributes of dresses and their recommendations according to their sales. Sales are monitor on the basis of alternate days. \n\nThe attributes present analyzed are: Recommendation, Style, Price, Rating, Size, Season, NeckLine, SleeveLength, waiseline, Material, FabricType, Decoration, Pattern, Type. In this dataset they are named Class(target) and then subsequently V2 - V13.\n\nContact:\n```\nMuhammad Usman & Adeel Ahmed, usman.madspot '@' gmail.com adeel.ahmed92 '@' gmail.com, Air University, Students at Air University.\n```\n\n####2: Attribute Information:\n\n```\nRecommendation:0,1 \nStyle: Bohemia,brief,casual,cute,fashion,flare,novelty,OL,party,sexy,vintage,work. \nPrice:Low,Average,Medium,High,Very-High \nRating:1-5 \nSize:S,M,L,XL,Free \nSeason:Autumn,winter,Spring,Summer \nNeckLine:O-neck,backless,board-neck,Bowneck,halter,mandarin-collor,open,peterpan-collor,ruffled,scoop,slash-neck,square-collar,sweetheart,turndowncollar,V-neck. \nSleeveLength:full,half,halfsleeves,butterfly,sleveless,short,threequarter,turndown,null \nwaiseline:dropped,empire,natural,princess,null. \nMaterial:wool,cotton,mix etc \nFabricType:shafoon,dobby,popline,satin,knitted,jersey,flannel,corduroy etc \nDecoration:applique,beading,bow,button,cascading,crystal,draped,embroridary,feathers,flowers etc \nPattern type: solid,animal,dot,leapard etc \n```", "format": "ARFF", "uploader": "unknown", "uploader_id": 64, "visibility": "public", "creator": null, "contributor": null, "date": "2016-04-11 19:57:27", "update_comment": null, "last_update": "2016-04-11 19:57:27", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1910507\/phpcFPMhq", "default_target_attribute": "Class", "row_id_attribute": null, "ignore_attribute": null, "runs": 19207, "suggest": { "input": [ "dresses-sales", "####1. Summary This dataset contain attributes of dresses and their recommendations according to their sales. Sales are monitor on the basis of alternate days. The attributes present analyzed are: Recommendation, Style, Price, Rating, Size, Season, NeckLine, SleeveLength, waiseline, Material, FabricType, Decoration, Pattern, Type. In this dataset they are named Class(target) and then subsequently V2 - V13. Contact: ``` Muhammad Usman & Adeel Ahmed, usman.madspot '@' gmail.com adeel.ahmed92 '@' g " ], "weight": 5 }, "qualities": { "NumberOfInstances": 500, "NumberOfFeatures": 13, "NumberOfClasses": 2, "NumberOfMissingValues": 835, "NumberOfInstancesWithMissingValues": 401, "NumberOfNumericFeatures": 1, "NumberOfSymbolicFeatures": 12, "AutoCorrelation": 0.4729458917835671, "CfsSubsetEval_DecisionStumpAUC": 0.5689983579638751, "CfsSubsetEval_DecisionStumpErrRate": 0.39, "CfsSubsetEval_DecisionStumpKappa": 0.13287086446104596, "CfsSubsetEval_NaiveBayesAUC": 0.5821860426929393, "CfsSubsetEval_NaiveBayesErrRate": 0.396, "CfsSubsetEval_NaiveBayesKappa": 0.15384615384615374, "CfsSubsetEval_kNN1NAUC": 0.5239655172413793, "CfsSubsetEval_kNN1NErrRate": 0.424, "CfsSubsetEval_kNN1NKappa": 0.10016977928692682, "ClassEntropy": 0.9814538950336535, "DecisionStumpAUC": 0.5689983579638751, "DecisionStumpErrRate": 0.39, "DecisionStumpKappa": 0.13287086446104596, "Dimensionality": 0.026, "EquivalentNumberOfAtts": 30.473106715455046, "J48.00001.AUC": 0.5, "J48.00001.ErrRate": 0.42, "J48.00001.Kappa": 0, "J48.0001.AUC": 0.5, "J48.0001.ErrRate": 0.42, "J48.0001.Kappa": 0, "J48.001.AUC": 0.5, "J48.001.ErrRate": 0.42, "J48.001.Kappa": 0, "MajorityClassPercentage": 57.99999999999999, "MajorityClassSize": 290, "MaxAttributeEntropy": 2.8085450978410593, "MaxKurtosisOfNumericAtts": -0.5820891187268162, "MaxMeansOfNumericAtts": 3.5286, "MaxMutualInformation": 0.04980682279954, "MaxNominalAttDistinctValues": 24, "MaxSkewnessOfNumericAtts": -1.1647649580553958, "MaxStdDevOfNumericAtts": 2.005364059222174, "MeanAttributeEntropy": 2.229601148769659, "MeanKurtosisOfNumericAtts": -0.5820891187268162, "MeanMeansOfNumericAtts": 3.5286, "MeanMutualInformation": 0.03220721484678454, "MeanNoiseToSignalRatio": 68.22676050618685, "MeanNominalAttDistinctValues": 13.083333333333334, "MeanSkewnessOfNumericAtts": -1.1647649580553958, "MeanStdDevOfNumericAtts": 2.005364059222174, "MinAttributeEntropy": 1.3729342705988772, "MinKurtosisOfNumericAtts": -0.5820891187268162, "MinMeansOfNumericAtts": 3.5286, "MinMutualInformation": 0.00520546565465, "MinNominalAttDistinctValues": 2, "MinSkewnessOfNumericAtts": -1.1647649580553958, "MinStdDevOfNumericAtts": 2.005364059222174, "MinorityClassPercentage": 42, "MinorityClassSize": 210, "NaiveBayesAUC": 0.5924055829228243, "NaiveBayesErrRate": 0.396, "NaiveBayesKappa": 0.15844950697041815, "NumberOfBinaryFeatures": 1, "PercentageOfBinaryFeatures": 7.6923076923076925, "PercentageOfInstancesWithMissingValues": 80.2, "PercentageOfMissingValues": 12.846153846153847, "PercentageOfNumericFeatures": 7.6923076923076925, "PercentageOfSymbolicFeatures": 92.3076923076923, "Quartile1AttributeEntropy": 1.9828514861071393, "Quartile1KurtosisOfNumericAtts": -0.5820891187268162, "Quartile1MeansOfNumericAtts": 3.5286, "Quartile1MutualInformation": 0.02698419264909, "Quartile1SkewnessOfNumericAtts": -1.1647649580553958, "Quartile1StdDevOfNumericAtts": 2.005364059222174, "Quartile2AttributeEntropy": 2.3216763221266055, "Quartile2KurtosisOfNumericAtts": -0.5820891187268162, "Quartile2MeansOfNumericAtts": 3.5286, "Quartile2MutualInformation": 0.03539008404906, "Quartile2SkewnessOfNumericAtts": -1.1647649580553958, "Quartile2StdDevOfNumericAtts": 2.005364059222174, "Quartile3AttributeEntropy": 2.57118554925015, "Quartile3KurtosisOfNumericAtts": -0.5820891187268162, "Quartile3MeansOfNumericAtts": 3.5286, "Quartile3MutualInformation": 0.04339185153236, "Quartile3SkewnessOfNumericAtts": -1.1647649580553958, "Quartile3StdDevOfNumericAtts": 2.005364059222174, "REPTreeDepth1AUC": 0.5552873563218391, "REPTreeDepth1ErrRate": 0.406, "REPTreeDepth1Kappa": 0.04569386987589322, "REPTreeDepth2AUC": 0.5434318555008211, "REPTreeDepth2ErrRate": 0.412, "REPTreeDepth2Kappa": 0.09996504718629831, "REPTreeDepth3AUC": 0.5434318555008211, "REPTreeDepth3ErrRate": 0.412, "REPTreeDepth3Kappa": 0.09996504718629831, "RandomTreeDepth1AUC": 0.5452714285714285, "RandomTreeDepth1ErrRate": 0.422, "RandomTreeDepth1Kappa": 0.07618213660245171, "RandomTreeDepth2AUC": 0.5536471264367816, "RandomTreeDepth2ErrRate": 0.444, "RandomTreeDepth2Kappa": 0.06027768371147998, "RandomTreeDepth3AUC": 0.5606285714285714, "RandomTreeDepth3ErrRate": 0.408, "RandomTreeDepth3Kappa": 0.1270112975008558, "StdvNominalAttDistinctValues": 7.549332701797176, "kNN1NAUC": 0.5343513957307061, "kNN1NErrRate": 0.442, "kNN1NKappa": 0.07762938230383976 }, "tags": [ { "tag": "OpenML-CC18", "uploader": "1" }, { "tag": "OpenML100", "uploader": "348" }, { "tag": "study_123", "uploader": "3886" }, { "tag": "study_135", "uploader": "5824" }, { "tag": "study_14", "uploader": "1" }, { "tag": "study_144", "uploader": "5824" }, { "tag": "study_98", "uploader": "1935" }, { "tag": "study_99", "uploader": "1" }, { "tag": "study_293", "uploader": "0" }, { "tag": "study_253", "uploader": "0" }, { "tag": "study_275", "uploader": "0" } ], "features": [ 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