A synthetic two-dimensional binary classification problem where the two classes form interleaved spirals - a simple example of data that linear models cannot separate. Included as supervised-learning practice data.
spiralsA data frame with 2,000 rows and 3 columns: coordinates x0,
x1 and the class label y (factor, 0/1).