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Related Questions
- Can feature selection methods like recursive feature elimination or mutual information gain help mitigate class imbalance?
- How do techniques like principal component analysis (PCA) or independent component analysis (ICA) affect the balance between classes?
- Can data normalization or standardization techniques like Min-Max Scaler or Standard Scaler improve the balance between classes?
- Are there any feature engineering techniques specifically designed to handle class imbalance, such as the SMOTE algorithm?
- Can the use of ensemble methods, like Random Forest or Gradient Boosting, help balance the class distribution?
- How does feature extraction through techniques like dimensionality reduction or feature hashing impact class imbalance?
- Can the incorporation of additional features, such as derived or engineered features, improve the balance between classes?
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