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Related Questions
- What are the potential limitations of using cross-validation to estimate feature importance in models with non-linear relationships between features and target variables?
- Can cross-validation be used to evaluate the stability of feature importance estimates in models with complex interactions between features?
- How does the choice of cross-validation technique (e.g., k-fold, leave-one-out) impact the estimation of feature importance in non-linear models?
- What are some strategies for improving the accuracy of feature importance estimates in models with non-linear relationships between features and target variables?
- Can cross-validation be used to identify the most important features in a model with a large number of features and non-linear relationships between them?
- How does the level of noise in the data affect the estimation of feature importance in models with non-linear relationships between features and target variables?
- Are there any specific machine learning algorithms that are more robust to non-linear relationships between features and target variables when estimating feature importance using cross-validation?
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