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Related Questions
- How can feature engineering techniques like dimensionality reduction and feature selection impact model performance on imbalanced datasets?
- Can you provide examples of feature engineering strategies that can help mitigate the effects of class imbalance in machine learning models?
- How do feature engineering techniques like one-hot encoding and label encoding affect the performance of models on imbalanced datasets?
- What are some common pitfalls to avoid when using feature engineering to address class imbalance in machine learning models?
- Can feature engineering be used to create new features that capture non-linear relationships between variables and classes?
- How can feature engineering techniques like feature transformation and normalization impact model performance on imbalanced datasets?
- What are some best practices for using feature engineering to improve model performance on imbalanced datasets in real-world applications?
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