DOE OSTI · 3007231
Exploring the Whole Set of Accurate Sparse Interpretable Models
Abstract
In data science applications, there are often many models that fit the data well. This phenomenon was called the Rashomon Effect by Leo Breiman. The set of good models is called the Rashomon Set, and the goal of this project is to locate, store, and study the Rashomon sets for classes of interpretable models, including decision trees and generalized additive models.
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Rudin, Cynthia [Duke Univ., Durham, NC (United States)]. 2025-10-06. Exploring the Whole Set of Accurate Sparse Interpretable Models. https://doi.org/10.2172/3007231
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