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Related Questions
- What are the typical techniques used to address class imbalance in machine learning?
- How does oversampling and undersampling address class imbalance?
- What are the key differences between Random Oversampling and SMOTE?
- Can you explain the concept of synthetic minority oversampling technique (SMOTE) and its application in class imbalance?
- What is cost-sensitive learning and how is it used to address class imbalance?
- Can you compare the performance of different ensemble methods for addressing class imbalance?
- How does data preprocessing, such as feature selection and normalization, impact class imbalance?
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