Iris Flower Data Set¶
The Iris flower data set or Fisher’s Iris data set is a multivariate data set introduced by Sir Ronald Aylmer Fisher (1936) as an example of discriminant analysis. The dataset consists of 50 samples from three species of Iris flowers (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample, they are the length and the width of sepal and petal, in centimeters.
As this data set is quite small and used for testing purpose, it is directly integrated into Bob, which provides both ways to access the data, as well as the data itself (feature vectors of length four for various samples of the three species).