Generalized SHAP: Generating multiple types of explanations in machine learning

12 Jun 2020Dillon BowenLyle Ungar

Many important questions about a model cannot be answered just by explaining how much each feature contributes to its output. To answer a broader set of questions, we generalize a popular, mathematically well-grounded explanation technique, Shapley Additive Explanations (SHAP)... (read more)

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