A decision tree is an interpretable supervised learningmodel that represents decision rules in a tree-like structure. Inference follows a path from a root node through feature-based conditions to a leaf node that provides the predicted class or value.
A supervised learningmodel composed of a set of
conditions and leaves organized hierarchically.
For example, the following is a decision tree:
!A decision tree consisting of four conditions arranged
hierarchically, which lead to five leaves.