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Related Questions
- What are the key differences between influence functions and other sensitivity analysis methods, such as partial dependence plots and SHAP values?
- How do influence functions handle high-dimensional data compared to other sensitivity analysis methods?
- Can influence functions be used to identify feature importance in addition to detecting individual sample influence?
- How do influence functions compare to other model-agnostic sensitivity analysis methods in terms of computational efficiency?
- Can influence functions be used to identify groups of samples that have a significant impact on the model's predictions?
- How do influence functions handle non-linear relationships between features and the target variable compared to other sensitivity analysis methods?
- Can influence functions be used to detect feature interactions and their impact on the model's predictions?
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