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stat.ML2021
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models
Salim I. Amoukou, Nicolas J. B Brunel
To explain the decision of any model, we extend the notion of probabilistic Sufficient Explanations (P-SE). For each instance, this approach selects the minimal subset of features…
stat.ML2021★ 6 cited
Accurate Shapley Values for explaining tree-based models
Salim I. Amoukou, Nicolas J-B. Brunel, Tangi Salaün
Shapley Values (SV) are widely used in explainable AI, but their estimation and interpretation can be challenging, leading to inaccurate inferences and explanations. As a starting…