Getting ready

The Boston dataset won't be useful for this section. While it's useful for feature binarization, it won't suffice for creating features from categorical variables. For this, the iris dataset will suffice.

For this to work, the problem needs to be turned on its head. Imagine a problem where the goal is to predict the sepal width; in this case, the species of the flower will probably be useful as a feature.