We opt to use nearest neighbors classifiers as they are simple, require no training, and can asymptotically capture arbitrary continuous decision boundaries.
we set k = 16 and define neighbors using L 2 distances over the feature vectors φ(x, y) scaled componentwise to have unit variance.