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Related Questions
- Can feature engineering techniques like PCA or t-SNE help reduce the impact of class imbalance on model performance?
- How can feature selection methods like recursive feature elimination or mutual information impact the balance between classes?
- Can dimensionality reduction techniques like LLE or ISOMAP improve model accuracy in imbalanced datasets?
- Do feature engineering techniques have a more significant impact on class imbalance when combined with ensemble methods?
- Can feature engineering techniques help in identifying the most informative features for a specific class, thus reducing the impact of class imbalance?
- How can feature engineering techniques like correlation analysis or mutual information help in understanding the relationships between features and classes?
- Can feature engineering techniques like principal component analysis (PCA) or independent component analysis (ICA) help in reducing the effect of noisy or irrelevant features on class imbalance?
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