Foundations of Symbolic Languages for Model Interpretability Marcelo Arenas 1,4, Daniel Baez
–Neural Information Processing Systems
Several queries and scores have been proposed to explain individual predictions made by ML models. Examples include queries based on "anchors", which are parts of an instance that are sufficient to justify its classification, and "feature-perturbation" scores such as SHAP .
Neural Information Processing Systems
Aug-14-2025, 19:38:43 GMT
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