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Related Questions
- Can SHAP values capture non-linear interactions between features in high-dimensional data?
- How do model-agnostic interpretability methods like LIME handle complex relationships between features?
- In what ways do SHAP and LIME methods account for non-linear relationships in their feature importance calculations?
- Can you explain the challenges of applying SHAP and LIME to high-dimensional data with non-linear relationships?
- How do model-agnostic interpretability methods like SHAP and LIME handle feature interactions in deep learning models?
- What are some common pitfalls to avoid when using SHAP or LIME to interpret models with non-linear relationships?
- Can you provide examples of datasets or scenarios where SHAP and LIME performed well in capturing non-linear relationships?
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