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Related Questions
- What is overfitting in the context of imbalanced datasets, and how does it affect model performance?
- How does class weighting handle overfitting in imbalanced datasets, and what are its limitations?
- What is the difference between class weighting and oversampling in handling overfitting in imbalanced datasets?
- Can you explain the concept of Synthetic Minority Over-sampling Technique (SMOTE) and how it addresses overfitting in imbalanced datasets?
- How does Random Under-sampling handle overfitting in imbalanced datasets, and what are its potential drawbacks?
- What is the role of ensemble methods in reducing overfitting in imbalanced datasets, and how do they work?
- Can you discuss the trade-offs between different methods for handling overfitting in imbalanced datasets, such as class weighting, oversampling, and undersampling?
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