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    "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",
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    "date": "2018-04-13 17:54:12",
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    "last_update": "2018-04-13 17:54:12",
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    "url": "https:\/\/www.openml.org\/data\/download\/19038793\/dataset.arff",
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            "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 "
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