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Related Questions
- What are the implications of using F1-score in imbalanced datasets?
- How does F1-score compare to precision and recall in terms of class imbalance?
- Can you explain the relationship between F1-score and ROC-AUC in the context of class imbalance?
- What are the limitations of using F1-score to evaluate models in imbalanced datasets?
- How does F1-score handle multi-class classification problems with class imbalance?
- Can you compare the performance of F1-score with log loss in imbalanced datasets?
- What are some alternative metrics to F1-score for evaluating models in imbalanced datasets?
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