arXiv Machine Learning June 18, 2026 By Nicolas Mahler

Kernel of Partition Paths: A Unified Representation for Tree Ensembles

Read the original on arXiv Machine Learning →

arXiv:2606. 18853v1 Announce Type: cross Abstract: A recent line of work has reframed individual decision trees as linear models on engineered features associated with their splits, opening routes for oracle inequalities and feature-importance reinterpretation, but leaving open the question of what unified geometric object a forest induces when one indexes its feature map by nodes rather than by splits.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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