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Related Questions
- Can feature importance analysis uncover biases that are hidden in high-order interactions between features?
- How do complex feature interactions affect the reliability of feature importance scores in detecting biases in machine learning models?
- What alternative methods can be used to detect biases in models with complex feature interactions, in addition to feature importance analysis?
- Can feature importance analysis identify biases that are caused by interactions between categorical and continuous features?
- In what scenarios is feature importance analysis more likely to fail in detecting biases due to complex feature interactions?
- Are there any limitations of feature importance analysis in capturing non-linear relationships between features and the target variable?
- Can feature importance analysis be used to identify biases that are caused by feature engineering techniques, such as one-hot encoding or normalization?
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