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Part II - Explainable ML Models: Local post hoc explanations
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Part II - Explainable ML Models: Local post hoc explanations

Post hoc explanations approximate the behavior of a black-box by extracting relationships between feature values and the predictions. Several local explanation methods are model-agnostic, meaning they do not have access to the internal structure of the model.
May 25, 2021 3 min read
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