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Related Questions
- What is the main goal of Recursive Feature Elimination (RFE) in machine learning?
- How does RFE select important features by recursively eliminating less relevant ones?
- What is the difference between RFE and other feature selection techniques like PCA?
- Can RFE be used for both regression and classification tasks?
- How does RFE handle high-dimensional feature spaces?
- What is the trade-off between feature selection and overfitting in RFE?
- How does RFE incorporate the relationship between features when selecting important ones?
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