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Related Questions
- What are the limitations of permutation importance in detecting non-linear correlations?
- Can permutation importance be used in conjunction with other feature importance methods for improved results?
- How does permutation importance perform in comparison to other model-agnostic interpretability techniques?
- What are some common pitfalls to avoid when using permutation importance for non-linear correlation detection?
- Can permutation importance be applied to models with non-linear interactions between features?
- How does the dimensionality of the feature space impact the effectiveness of permutation importance?
- Are there any specific techniques for adjusting permutation importance in high-dimensional spaces to improve its effectiveness?
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