tree-based

Definition

Describing any method built out of decision trees — a single tree, a random forest, or a gradient-boosted ensemble. What they share is splitting the feature space by axis-aligned thresholds, which makes them insensitive to feature scaling, tolerant of mixed types, and effective on tabular data with modest sample counts. The phrase usually shows up when a paper contrasts this family against neural networks.