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Related Questions
- Can you explain the core differences between partial dependence plots and SHAP values, specifically in terms of visualization and interpretation?
- How do partial dependence plots and SHAP values account for interactions between input variables, and which method provides a more accurate representation of complex relationships?
- What are some potential pitfalls or limitations associated with relying solely on partial dependence plots or SHAP values for understanding model behavior, and how can model practitioners address these limitations?
- Can you walk me through a comparison of partial dependence plots and SHAP values in a concrete example, such as a regression model or decision tree?
- Are there any specific situations where one method is preferable to the other, based on the characteristics of the model or the data at hand?
- How can partial dependence plots and SHAP values be combined to provide a more comprehensive understanding of model behavior?
- What role do partial dependence plots and SHAP values play in the broader context of model interpretability, and how can they be used to improve model transparency and accountability?
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