  We present a simple introduction to the decision tree algorithm using some
examples from nuclear physics. We show how to improve the accuracy of the
classical liquid drop nuclear mass model by performing Feature Engineering with
a decision tree. Finally, we apply the method to the Duflo-Zuker model showing
that, despite their simplicity, decision trees are capable of improving the
description of nuclear masses using a limited number of free parameters.
