{"status":200,"statusText":"OK","data":{"uci_id":53,"name":"Iris","repository_url":"https://archive.ics.uci.edu/dataset/53/iris","data_url":"https://archive.ics.uci.edu/static/public/53/data.csv","abstract":"A small classic dataset from Fisher, 1936. One of the earliest known datasets used for evaluating classification methods.\n","area":"Biology","tasks":["Classification"],"characteristics":["Tabular"],"num_instances":150,"num_features":4,"feature_types":["Real"],"demographics":[],"target_col":["class"],"index_col":null,"has_missing_values":"no","missing_values_symbol":null,"year_of_dataset_creation":1936,"last_updated":"Tue Sep 12 2023","dataset_doi":"10.24432/C56C76","creators":["R. A. Fisher"],"intro_paper":{"ID":191,"type":"NATIVE","title":"The Iris data set: In search of the source of virginica","authors":"A. Unwin, K. Kleinman","venue":"Significance, 2021","year":2021,"journal":"Significance, 2021","DOI":"1740-9713.01589","URL":"https://www.semanticscholar.org/paper/4599862ea877863669a6a8e63a3c707a787d5d7e","sha":null,"corpus":null,"arxiv":null,"mag":null,"acl":null,"pmid":null,"pmcid":null},"variables":[{"name":"sepal length","role":"Feature","type":"Continuous","demographic":null,"description":null,"units":"cm","missing_values":"no"},{"name":"sepal width","role":"Feature","type":"Continuous","demographic":null,"description":null,"units":"cm","missing_values":"no"},{"name":"petal length","role":"Feature","type":"Continuous","demographic":null,"description":null,"units":"cm","missing_values":"no"},{"name":"petal width","role":"Feature","type":"Continuous","demographic":null,"description":null,"units":"cm","missing_values":"no"},{"name":"class","role":"Target","type":"Categorical","demographic":null,"description":"class of iris plant: Iris Setosa, Iris Versicolour, or Iris Virginica","units":null,"missing_values":"no"}],"additional_info":{"summary":"This is one of the earliest datasets used in the literature on classification methods and widely used in statistics and machine learning.  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.\n\nThis is an exceedingly simple domain.\n\nThis data differs from the data presented in Fishers article (identified by Steve Chadwick,  spchadwick@espeedaz.net ).  The 35th sample should be: 4.9,3.1,1.5,0.2,\"Iris-setosa\" where the error is in the fourth feature. The 38th sample: 4.9,3.6,1.4,0.1,\"Iris-setosa\" where the errors are in the second and third features.  ","purpose":"N/A","funded_by":null,"instances_represent":"Each instance is a plant","recommended_data_splits":null,"sensitive_data":null,"preprocessing_description":null,"variable_info":null,"citation":null}}}