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Related Questions
- What are the limitations of using F1-score for imbalanced datasets?
- How can the F1-score be adjusted for imbalanced datasets?
- Can the F1-score be used as a standalone metric for imbalanced datasets?
- What are some alternative metrics that can be used for imbalanced datasets?
- How does the F1-score compare to other metrics for imbalanced datasets?
- Can the F1-score be used in conjunction with other metrics for imbalanced datasets?
- What are some common techniques for handling imbalanced datasets in machine learning?
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