How to deal faeture redundancy in SHAP?
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In the context of SHAP (SHapley Additive exPlanations), dealing with feature redundancy involves various techniques. One approach is to compute irredundant sub-sets of constraint networks, which involves eliminating redundant constraints to focus the search on the most constrained parts of the network . Another method is through distributed proofs, where nodes collectively verify network predicates with high redundancy levels, allowing for tradeoffs between certificate size and verification rounds . Additionally, optimization methods like column generation decomposition can be utilized for redundancy allocation problems, maximizing system reliability by selecting components and redundancy levels efficiently . These diverse strategies offer effective ways to address feature redundancy in the context of SHAP.
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