{ "data_id": "312", "name": "scene", "exact_name": "scene", "version": 1, "version_label": "", "description": "**Author**: Matthew R. Boutell, Jiebo Luo, Xipeng Shen, and Christopher M. Brown. \r\n**Source**: [Mulan](http:\/\/mulan.sourceforge.net\/datasets-mlc.html) \r\n**Please cite**: \r\n\r\n### Description\r\n\r\nScene recognition dataset - It contains characteristics about images and their classes. \r\nThe original dataset is a multi-label classification problem with 6 different labels: {Beach, Sunset, FallFoliage, Field, Mountain, Urban}.\r\nThe current dataset is a binary classification problem considering just the 'Urban' label.\r\n\r\n### Sources\r\n\r\nMatthew R. Boutell, Jiebo Luo, Xipeng Shen, and Christopher M. Brown.\r\nLearning multi-label scene classification.\r\nPattern Recognition, 37(9):1757-1771, 2004. \r\n\r\n### Dataset Information\r\n\r\nMulti-label classification problem, based on real-world images. \r\nInstances: 2407 \r\nFeatures: 294 numerical features with values between [0,1] \r\nClasses\/Labels: 2 {Urban, Nor Urban} \r\nNo missing values \r\n", "format": "ARFF", "uploader": "Tobias Kuehn", "uploader_id": 94, "visibility": "public", "creator": "\"\"", "contributor": "\"\"", "date": "2014-08-25 11:43:22", "update_comment": "removed ranges after the definition of a numerical attribute", "last_update": "2015-04-15 22:22:58", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1390080\/phpuZu33P", "default_target_attribute": "Urban", "row_id_attribute": "", "ignore_attribute": null, "runs": 89930, "suggest": { "input": [ "scene", "### Description Scene recognition dataset - It contains characteristics about images and their classes. The original dataset is a multi-label classification problem with 6 different labels: {Beach, Sunset, FallFoliage, Field, Mountain, Urban}. The current dataset is a binary classification problem considering just the 'Urban' label. ### Sources Matthew R. Boutell, Jiebo Luo, Xipeng Shen, and Christopher M. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):1757-1771, 20 " ], "weight": 5 }, "qualities": { "NumberOfInstances": 2407, "NumberOfFeatures": 300, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 294, "NumberOfSymbolicFeatures": 6, "MaxSkewnessOfNumericAtts": 7.314409408799282, "MinStdDevOfNumericAtts": 0.06708000792507711, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": 6.957725594186666, "AutoCorrelation": 0.984621778886118, "RandomTreeDepth1Kappa": 0.4353286069627718, "J48.00001.AUC": 0.9787349587157257, "MaxStdDevOfNumericAtts": 0.2604767133791669, "MinorityClassPercentage": 17.90610718737017, "PercentageOfNumericFeatures": 98, "Quartile3MeansOfNumericAtts": 0.5101368164727877, "CfsSubsetEval_DecisionStumpAUC": 0.8725805959213581, "RandomTreeDepth2AUC": 0.7249693538236095, "J48.00001.ErrRate": 0.018695471541337765, "MeanAttributeEntropy": 0.6751729963437599, "MinorityClassSize": 431, "PercentageOfSymbolicFeatures": 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