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Related Questions
- Can feature selection techniques help alleviate class imbalance issues in machine learning models?
- How can dimensionality reduction methods impact the performance of imbalanced datasets?
- What are some common feature engineering techniques used to address class imbalance in machine learning?
- Can feature correlation analysis help identify and remove redundant features that exacerbate class imbalance?
- How does feature scaling affect the performance of models trained on imbalanced datasets?
- Can feature extraction techniques, such as PCA or t-SNE, help reduce the impact of irrelevant features on class imbalance?
- What role does feature engineering play in improving the robustness of machine learning models to class imbalance?
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