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Related Questions
- What are the common methods for addressing class imbalance in machine learning models?
- How does the F1-score change when the positive class is underrepresented compared to the negative class?
- What are the implications of using a class-weighted approach to handle class imbalance on model performance?
- Can you explain the concept of oversampling and undersampling in the context of class imbalance?
- How does the choice of evaluation metric impact the assessment of model performance in imbalanced datasets?
- What are the potential consequences of ignoring class imbalance in model development and deployment?
- Can you describe a scenario where a class imbalance leads to a biased model and how to mitigate it?
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