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Related Questions
- Can feature importance scores accurately capture interactions between non-linearly related features?
- Do non-linear relationship feature importance scores consider multiple pathways between features and the target variable?
- Can feature importance scores correctly identify the significance of interactions between non-linearly related features?
- In what scenarios are feature importance scores likely to fail to accurately represent non-linear relationships between features and the target variable?
- Can ensemble methods such as random forests or gradient boosting be used to accurately identify feature importance in non-linear relationships?
- Do correlation coefficients provide a better understanding of non-linear relationships than feature importance scores?
- Can regularization techniques, such as L1 or L2 regularization, be used to improve the accuracy of feature importance scores for non-linear relationships?
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