Currently the algorithms covered are:

- Linear regression (with cubic expansion on feature space)
- Logistic regression (with cubic expansion on feature space)
- Neural network (sigmoidal feed forward back propagation)
- K nearest neighbor (where k=5)
- Naive bayes
- Support vector machine (gauss kernel)
- Discriminate analysis

As the algorithm trains you'll see the background color morph to display the classification boundary. Change the algorithm (via the dropdown on the top) and see how it impacts the classification boundary.