AI RESEARCH
Variable Selection Using Relative Importance Rankings
arXiv CS.LG
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ArXi:2509.10853v2 Announce Type: replace-cross Although conceptually related, variable selection and relative importance (RI) analysis have been treated quite differently in the literature. While RI is typically used for post-hoc model explanation, this paper explores its potential for variable or feature ranking and filter-based selection before model creation.