DEVELOPMENT... { "data_id": "45575", "name": "Epsilon", "exact_name": "Epsilon", "version": 1, "version_label": null, "description": "Data from the PASCAL Challenge 2008 as available on the LibSVM repository\n\n## Description\n\n**Notes by the LibSVM dataset website**\n\nPreprocessing: The raw data set (epsilon_train) is instance-wisely scaled to unit length and split into two parts: 4\/5 for training and 1\/5 for testing. The training part is feature-wisely normalized to mean zero and variance one and then instance-wisely scaled to unit length. Using the scaling factors of the training part, the testing part is processed in a similar way. These train and testing data sets are used in [GXY11a].\n\n[GXY11a]\nGuo-Xun Yuan, Chia-Hua Ho, and Chih-Jen Lin.\nAn improved GLMNET for l1-regularized logistic regression.\nJournal of Machine Learning Research, 13:1999-2030, 2012.\n\n**Notes by Uploader to OpenML**\n\n* This dataset contains both the train and test split.", "format": "arff", "uploader": "Shelby Padilla", "uploader_id": 86, "visibility": "public", "creator": null, "contributor": null, "date": "2023-06-15 16:09:53", "update_comment": null, "last_update": "2023-06-15 16:09:53", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22116559\/dataset", "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Epsilon", "Data from the PASCAL Challenge 2008 as available on the LibSVM repository ## Description Preprocessing: The raw data set (epsilon_train) is instance-wisely scaled to unit length and split into two parts: 4\/5 for training and 1\/5 for testing. The training part is feature-wisely normalized to mean zero and variance one and then instance-wisely scaled to unit length. Using the scaling factors of the training part, the testing part is processed in a similar way. These train and testing data sets are " ], "weight": 5 }, "qualities": { "NumberOfInstances": 500000, "NumberOfFeatures": 2001, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 2000, "NumberOfSymbolicFeatures": 1, "PercentageOfSymbolicFeatures": 0.04997501249375312, "AutoCorrelation": 0.5015930031860064, "PercentageOfNumericFeatures": 99.95002498750625, "PercentageOfMissingValues": 0, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfBinaryFeatures": 0.04997501249375312, "NumberOfBinaryFeatures": 1, "MinorityClassSize": 249778, "MinorityClassPercentage": 49.9556, "MajorityClassSize": 250222, "MajorityClassPercentage": 50.0444, "Dimensionality": 0.004002 }, "tags": [], "features": [ { "name": "class", "index": "2000", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "-1.0", "1.0" ], [ [ "250222", "0" ], [ "0", "249778" ] ] ] }, { "name": "feat0000", "index": "0", "type": 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