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Related Questions
- What are the primary types of normalization techniques used to address class imbalance in datasets?
- How do oversampling methods, such as SMOTE, balance the classes in a dataset?
- What are the potential drawbacks of using undersampling methods to handle class imbalance?
- Can you explain the concept of Synthetic Minority Over-sampling Technique (SMOTE) and its application in machine learning?
- What are the differences between cost-sensitive learning and class weighting in handling imbalanced datasets?
- How does the choice of normalization technique impact the performance of a machine learning model on an imbalanced dataset?
- What are some common pitfalls to avoid when applying normalization techniques to imbalanced datasets?
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