2020
Understanding Global Feature Contributions With Additive Importance Measures
NeurIPS 2020poster
Understanding the inner workings of complex machine learning models is a long-standing problem and most recent research has focused on local interpretability. To assess the role of individual input features in a global sense, we explore the perspective of defining feature importance through the pred…