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Related Questions
- What are the common methods used to normalize imbalanced datasets in machine learning?
- How does normalization affect the performance of classification models on imbalanced datasets?
- Can you explain the difference between oversampling, undersampling, and SMOTE in the context of imbalanced datasets?
- What are the advantages and disadvantages of using normalization techniques on imbalanced datasets?
- How does normalization impact the accuracy of model predictions on imbalanced datasets?
- What are some common evaluation metrics used to assess model performance on imbalanced datasets?
- Can you discuss the relationship between normalization and feature scaling in the context of imbalanced datasets?
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