Iris flower data set

[2] Two of the three species were collected in the Gaspé Peninsula "all from the same pasture, and picked on the same day and measured at the same time by the same person with the same apparatus".

Based on the combination of these four features, Fisher developed a linear discriminant model to distinguish each species.

[7] The data set is approximated by the closest tree with some penalty for the excessive number of nodes, bending and stretching.

The dataset contains a set of 150 records under five attributes: sepal length, sepal width, petal length, petal width and species.The iris data set is widely used as a beginner's dataset for machine learning purposes.

The dataset is included in R base and Python in the machine learning library scikit-learn, so that users can access it without having to find a source for it.