arXiv Machine Learning August 6, 2026 By Zakk Heile, Hayden McTavish, Margo Seltzer, Cynthia Rudin

ArborEnum: Decision Tree Rashomon Sets over Continuous Features

Read the original on arXiv Machine Learning →

arXiv:2608. 04310v1 Announce Type: new Abstract: The Rashomon effect describes the phenomenon that many models can achieve nearly equivalent performance on the same learning task, with significant ramifications for robustness, feature importance, and customizability.

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

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