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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 in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]
An example of a decision stump that discriminates between two of three classes of Iris flower data set: Iris versicolor and Iris virginica. The petal width is in centimetres. This particular stump achieves 94% accuracy on the Iris dataset for these two classes. A decision stump is a machine learning model consisting of a one-level decision tree ...
In 1936, he introduced the Iris flower data set as an example of discriminant analysis. [67] In his 1937 paper The wave of advance of advantageous genes he proposed Fisher's equation in the context of population dynamics to describe the spatial spread of an advantageous allele, and explored its travelling wave solutions. [68]
English: Iris flower data set, clustered using k means (left) and true species in the data set (right). Note that k-means is non-determinicstic, so results vary. Cluster means are visualized using larger, semi-transparent markers.
Iris variegata, commonly known as the Hungarian iris, is a plant species in the genus Iris, also in the subgenus Iris. It is a rhizomatous perennial from eastern Europe. It has dark green, ribbed leaves. The branched flowering stems can be as tall as the leaves, they can hold 2–3 flowers in summer.
Iris is a flowering plant genus of 310 accepted species [1] with showy flowers.As well as being the scientific name, iris is also widely used as a common name for all Iris species, as well as some belonging to other closely related genera.
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The stems have 1 – 2 leaves on the stem, [2] [4] and between 1 and 2 terminal (at the top of the stem) flowers, [10] [11] [5] in spring and summer, [10] [7] between May, [4] [11] [3] and June. [12] It has 2 or 3 green, lanceolate (lance-like), 5.5–7.5 cm (2–3 in) long, spathes (leaves of the flower bud), are acuminate (end in a point). [2 ...