The Iris flower dataset or Fisher’s Iris dataset (built into R or downloadable from OA 9.16) is a multivariate dataset introduced by the British statistician and biologist Ronald Fisher in his 1936 paper.4 The use of multiple measurements in taxonomic problems is an example of linear discriminant analysis. The dataset consists of 50 samples from each of three species of iris (Iris sentosa, Iris virginica and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on the combination of these four features, create a prediction model using softmax regression for the species of iris flower.
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