ConceptBoruta算法
Boruta
A random-forest-based all-relevant feature selection algorithm that systematically identifies feature subsets making significant contributions to a model by comparing them against randomized shadow features.
Timeline (last 90 days)
Oct 5
The research integrated four feature importance methods — SHAP, grouped permutation importance, Boruta, and Recursive Feature Elimination (RFE) — and merged the results through a consensus ranking strategy.
Unverified50%