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The Iris flower data set or Fisher’s Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher. The dataset was introduced in his 1936 paper "The Use of Multiple Measurements in Taxonomic Problems" (Fisher 1936) as an example of linear discriminant analysis. This dataset has the following Features: Petal.Length: Length of the petal Petal.Width: Width of the petal Sepal.Length: Length of the sepal Sepal.Width: Width of the sepal It has a total of 3 Groups: setosa, versicolor, and virginica.
{"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Fisher, R. A. 1936. \"The Use of Multiple Measurements in Taxonomic Problems.\" Annals of Eugenics 7 (2): 179\u201388. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x."]}
Iris, Flowers, Metrics As Scores
Iris, Flowers, Metrics As Scores
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