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Related Questions
- What are the common techniques used to address class imbalance in datasets, and how do they impact model performance?
- How does oversampling the minority class affect model performance, and what are the potential drawbacks?
- What is the difference between random undersampling and synthetic minority over-sampling technique (SMOTE), and which one is more effective?
- How does class weighting impact model performance, and what are the optimal weight values for different classes?
- What is the impact of ensemble methods, such as bagging and boosting, on class imbalance problems?
- How does cost-sensitive learning impact model performance, and what are the benefits and drawbacks of this approach?
- What are the potential risks and limitations of using class imbalance techniques, and how can they be mitigated?
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