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Related Questions
- How does representation bias in machine learning models affect their performance on diverse datasets?
- What are some common sources of representation bias in data preprocessing and feature engineering?
- Can you provide examples of data preprocessing techniques that can help mitigate representation bias?
- How do feature engineering strategies, such as feature selection and dimensionality reduction, impact representation bias?
- What is the role of domain knowledge in identifying and addressing representation bias in data preprocessing and feature engineering?
- Can you discuss the trade-offs between model accuracy and fairness in addressing representation bias?
- How do data augmentation and oversampling/undersampling techniques contribute to addressing representation bias in imbalanced datasets?
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