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On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study. (arXiv:2203.12701v1 [cs.AI])
cs.LG updates on arXiv.org arxiv.org
Feature attribution XAI algorithms enable their users to gain insight into
the underlying patterns of large datasets through their feature importance
calculation. Existing feature attribution algorithms treat all features in a
dataset homogeneously, which may lead to misinterpretation of consequences of
changing feature values. In this work, we consider partitioning features into
controllable and uncontrollable parts and propose the Controllable fActor
Feature Attribution (CAFA) approach to compute the relative importance of
controllable features. We carried out experiments applying CAFA to …
ai algorithm arxiv attribution case study influence medical study