Leaf Machine Learning
noun
Definition: A terminal node in a tree structure that has no children; in decision trees, it stores a prediction or output value [CS/ML usage].
Example in context: “Preferences that are single-peaked on a tree capture, e.g., the setting where voters’ preferences are single-peaked over non-extreme candidates, but a small number of extreme candidates prove to be difficult to order; the resulting tree may then have each of the extreme candidates as a leaf.” [ Peters 2022]
Related terms: leaf node, terminal node