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Related Questions
- How does feature permutation importance work, and what is its underlying assumption?
- In what scenarios does recursive feature elimination not work well, and how can feature permutation importance be a suitable alternative?
- What are the advantages of using feature permutation importance over recursive feature elimination for feature selection?
- Can you provide an example where feature permutation importance outperforms recursive feature elimination in feature selection?
- How does feature permutation importance handle high-dimensional feature spaces, and what are the challenges associated with it?
- Can you compare and contrast feature permutation importance with other feature selection methods, such as mutual information and L1 regularization?
- What are some common pitfalls to avoid when using feature permutation importance for feature selection, and how can they be addressed?
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