{ "data_id": "61", "name": "iris", "exact_name": "iris", "version": 1, "version_label": "1", "description": "**Author**: R.A. Fisher \n**Source**: [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/Iris) - 1936 - Donated by Michael Marshall \n**Please cite**: \n\n**Iris Plants Database** \nThis is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.\n\nPredicted attribute: class of iris plant. \nThis is an exceedingly simple domain. \n \n### Attribute Information:\n 1. sepal length in cm\n 2. sepal width in cm\n 3. petal length in cm\n 4. petal width in cm\n 5. class: \n -- Iris Setosa\n -- Iris Versicolour\n -- Iris Virginica", "format": "ARFF", "uploader": "Jan van Rijn", "uploader_id": 1, "visibility": "public", "creator": "R.A. Fisher", "contributor": null, "date": "2014-04-06 23:23:39", "update_comment": null, "last_update": "2014-04-06 23:23:39", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/61\/dataset_61_iris.arff", "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": null, "runs": 8045, "suggest": { "input": [ "iris", "This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other. Predicted attribute: class of iris plant. This is an exceedingly simple domain. ### At " ], "weight": 5 }, "qualities": { "NumberOfInstances": 150, "NumberOfFeatures": 5, "NumberOfClasses": 3, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 4, "NumberOfSymbolicFeatures": 1, "MinorityClassSize": 50, "PercentageOfSymbolicFeatures": 20, "Quartile3MutualInformation": null, "CfsSubsetEval_DecisionStumpErrRate": 0.06666666666666667, "RandomTreeDepth2ErrRate": 0.06666666666666667, "J48.00001.Kappa": 0.9, "MeanAttributeEntropy": null, "MeanKurtosisOfNumericAtts": -0.7507394876837399, "NaiveBayesAUC": 0.9932000000000001, "Quartile1AttributeEntropy": null, "Quartile3SkewnessOfNumericAtts": 0.32926723578831013, "CfsSubsetEval_DecisionStumpKappa": 0.9, "RandomTreeDepth2Kappa": 0.9, "J48.0001.AUC": 0.9565333333333332, "MeanMeansOfNumericAtts": 3.4636666666666667, "NaiveBayesErrRate": 0.03333333333333333, "Quartile1KurtosisOfNumericAtts": -1.3863791432688857, "Quartile3StdDevOfNumericAtts": 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