Nature Communications (Aug 2022)
Explaining a series of models by propagating Shapley values
Abstract
Series of machine learning models, relevant for tasks in biology, medicine, and finance, usually involve complex feature attribution techniques. The authors introduce a tractable method to compute local feature attributions for a series of machine learning models inspired by connections to the Shapley value.