This notebook is a simple example of how to use the Iris Data Set to train a model using scikit-learn.

The Iris Data Set is a classic data set used for machine learning. It contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.

The attributes are:

• sepal length in cm
• sepal width in cm
• petal length in cm
• petal width in cm

The classes are:

• Iris Setosa
• Iris Versicolour
• Iris Virginica

The data set is available at UCI Machine Learning Repository.