AI RESEARCH

Analyzing Error Sources in Global Feature Effect Estimation

arXiv CS.AI

ArXi:2603.15057v1 Announce Type: cross Global feature effects such as PD and ALE plots are widely used to interpret black-box models. However, they are only estimates of true underlying effects, and their reliability depends on multiple sources of error. Despite the popularity of global feature effects, these error sources are largely unexplored. In particular, the practically relevant question of whether to use