From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets

In three linesPRAXIS is an algorithm that efficiently computes Rashomon sets (sets of near-optimal models) for sparse decision trees. The approach drastically reduces memory and runtime while recovering most of the full set. Code available on GitHub.

Summary generated by Claude — human-verified