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Stanford Seminar - ML Explainability Part 4 I Evaluating Model Interpretations/Explanations
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Professor Hima Lakkaraju describes how explanation methods can be compared and evaluated. Interpretability evaluation techniques range from the highly quantitative, where interpretability is replaced with a metric such as the number of rules or parameters, to qualitative where humans are asked to rate the interpretation.
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