In the Tensorflow Playground, we can use a "bullseye" dataset to demonstrate non-linear decision boundaries that would be impossibly difficult for logistic regression. Here we're going to explore that kind of dataset in a simplified version A one-dimensional bullseye dataset would be like the following. Notice that one of the classes completely surrounds the other x = rnorm(50 , 0 ,2) y