{ "data_id": "41519", "name": "Diabetes(scikit-learn)", "exact_name": "Diabetes(scikit-learn)", "version": 6, "version_label": "test", "description": ".. _diabetes_dataset:\n\nDiabetes dataset\n----------------\n\nTen baseline variables, age, sex, body mass index, average blood\npressure, and six blood serum measurements were obtained for each of n =\n442 diabetes patients, as well as the response of interest, a\nquantitative measure of disease progression one year after baseline.\n\n**Data Set Characteristics:**\n\n :Number of Instances: 442\n\n :Number of Attributes: First 10 columns are numeric predictive values\n\n :Target: Column 11 is a quantitative measure of disease progression one year after baseline\n\n :Attribute Information:\n - Age\n - Sex\n - Body mass index\n - Average blood pressure\n - S1\n - S2\n - S3\n - S4\n - S5\n - S6\n\nNote: Each of these 10 feature variables have been mean centered and scaled by the standard deviation times `n_samples` (i.e. the sum of squares of each column totals 1).\n\nSource URL:\nhttp:\/\/www4.stat.ncsu.edu\/~boos\/var.select\/diabetes.html\n\nFor more information see:\nBradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani (2004) \"Least Angle Regression,\" Annals of Statistics (with discussion), 407-499.\n(http:\/\/web.stanford.edu\/~hastie\/Papers\/LARS\/LeastAngle_2002.pdf)", "format": "arff", "uploader": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": "\"Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani\"", "contributor": null, "date": "2019-03-22 16:23:57", "update_comment": null, "last_update": "2019-03-22 16:23:57", "licence": "CC0", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21230548\/dataset", "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Diabetes(scikit-learn)", ".. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442 diabetes patients, as well as the response of interest, a quantitative measure of disease progression one year after baseline. :Number of Instances: 442 :Number of Attributes: First 10 columns are numeric predictive values :Target: Column 11 is a quantitative measure of disease progression one year af " ], "weight": 5 }, "qualities": { "NumberOfInstances": 442, "NumberOfFeatures": 11, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 11, "NumberOfSymbolicFeatures": 0, "Quartile3MeansOfNumericAtts": 1.3108543913489898e-16, "MaxMutualInformation": null, "MinNominalAttDistinctValues": null, "PercentageOfNumericFeatures": 100, "Quartile3MutualInformation": null, "MaxNominalAttDistinctValues": null, "MinSkewnessOfNumericAtts": -0.23138153297088546, "PercentageOfSymbolicFeatures": 0, "Quartile3SkewnessOfNumericAtts": 0.5981484879110461, "MaxSkewnessOfNumericAtts": 0.7992551183440632, "MinStdDevOfNumericAtts": 0.04761904761904639, "Quartile1AttributeEntropy": null, "Quartile3StdDevOfNumericAtts": 0.047619047619050676, "MaxStdDevOfNumericAtts": 77.09300453299109, "MinorityClassPercentage": null, "Quartile1KurtosisOfNumericAtts": -0.6712236886195964, "StdvNominalAttDistinctValues": null, "MeanAttributeEntropy": null, "MinorityClassSize": null, "Quartile1MeansOfNumericAtts": -3.8422947578762306e-16, "MeanKurtosisOfNumericAtts": -0.14745347447019513, "NumberOfBinaryFeatures": 0, "Quartile1MutualInformation": null, "MeanMeansOfNumericAtts": 13.83031674208145, "Quartile1SkewnessOfNumericAtts": 0.2079166161507071, "AutoCorrelation": -84.63718820861678, "MeanMutualInformation": null, "Quartile1StdDevOfNumericAtts": 0.0476190476190478, "ClassEntropy": null, "MeanNoiseToSignalRatio": null, "Quartile2AttributeEntropy": null, "Dimensionality": 0.024886877828054297, 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