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Related Questions
- What are the common techniques for addressing class imbalance in machine learning?
- How does oversampling affect the model's performance when dealing with imbalanced datasets?
- Can you explain the concept of synthetic minority oversampling technique (SMOTE)?
- How does undersampling differ from oversampling in handling class imbalance?
- What are the potential drawbacks of oversampling in addressing class imbalance?
- Can you provide examples of real-world applications where class imbalance is a significant challenge?
- How does the choice of sampling method impact the overall performance of a machine learning model?
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