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Related Questions
- What are the common approaches to address class imbalance in machine learning models?
- How does data augmentation impact the performance of models trained on imbalanced datasets?
- What are the benefits of using oversampling and undersampling techniques in class imbalance problems?
- Can you explain the concept of cost-sensitive learning and its application in class imbalance problems?
- How does the choice of evaluation metrics affect the performance of models on imbalanced datasets?
- What are the differences between random oversampling and SMOTE (Synthetic Minority Over-sampling Technique) in handling class imbalance?
- How does the size of the minority class affect the performance of machine learning models in class imbalance problems?
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