Model-Agnostic Interpretability of Machine Learning

Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin

Understanding why machine learning models behave the way they do empowers both system designers and end-users in many ways: in model selection, feature engineering, in order to tru…