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Related Questions
- How do feature importance plots and partial dependence plots complement SHAP values in model interpretation?
- Can you explain the differences between feature importance, partial dependence plots, and permutation importance in terms of their assumptions and limitations?
- How do feature importance plots and partial dependence plots handle interactions between features, whereas SHAP values can capture interactions?
- Can you provide an example of a scenario where feature importance plots and partial dependence plots would be more suitable than SHAP values?
- How do permutation importance and feature importance plots relate to each other in terms of their calculation and interpretation?
- Can you discuss the advantages and disadvantages of using partial dependence plots versus SHAP values for model interpretation?
- How do feature importance plots and partial dependence plots handle non-linear relationships between features and the target variable, whereas SHAP values assume linearity?
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