arXiv cs.LG
· Papers
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
arXiv:2508.14268v2 Announce Type: replace-cross Abstract: Feature selection and importance estimation in a model-agnostic setting is an ongoing challenge of significant interest. Wrapper methods are commonly used because they are typically model-agnostic. In this paper, we develop a general comparison framework for mod