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The Iris flower data set is a specific set of information compiled by Ronald Fisher, a biologist, in the 1930s. It describes particular biological characteristics of various types of Iris flowers, specifically, the length and width of both pedals and the sepals, which are part of the flower’s reproductive system.
The Iris flower data set is now widely used as a data set for testing purposes in computer science.
Fisher’s Iris flower data set is an excellent example of a traditional resource that has become a staple of the computing world, especially for testing purposes. New types of sorting models and taxonomy algorithms often use the Iris flower data set as an input, to examine how various technologies sort and handle data sets. Programmers might, for example, download the Iris flower data set for the purposes of testing a decision tree, or a piece of machine learning software. For this reason, the Iris flower data set is built into some coding libraries, in order to make this process easier.
The Iris flower data set has also been used to explore the world of data mining, as in its use by the IBM Watson analytics engine.