{"data_set_description":{"id":"61","name":"iris","version":"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","description_version":"4","format":"ARFF","creator":"R.A. Fisher","collection_date":"1936","upload_date":"2014-04-06T23:23:39","language":"English","licence":"Public","url":"https:\/\/openml.org\/data\/v1\/download\/61\/iris.arff","parquet_url":"https:\/\/data.openml.org\/datasets\/0000\/0061\/dataset_61.pq","file_id":"61","default_target_attribute":"class","version_label":"1","citation":"https:\/\/archive.ics.uci.edu\/ml\/citation_policy.html","tag":["Botany","Ecology","Kaggle","Machine Learning","study_1","study_25","study_4","study_41","study_50","study_52","study_7","study_86","study_88","study_89","uci"],"visibility":"public","original_data_url":"https:\/\/archive.ics.uci.edu\/ml\/datasets\/Iris","paper_url":"http:\/\/digital.library.adelaide.edu.au\/dspace\/handle\/2440\/15227","status":"active","processing_date":"2020-11-20 19:02:18","md5_checksum":"ad484452702105cbf3d30f8deaba39a9"}}