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Related Questions
- What are the implications of using the F1-score to compare models with different numbers of classes?
- Can the F1-score be used as a single metric to compare models with varying class distributions?
- How does the F1-score handle class imbalance issues in models with different numbers of classes?
- What are some alternative metrics that can be used to compare models with different numbers of classes?
- Can the F1-score be used to compare the performance of a binary classification model and a multi-class classification model?
- How does the F1-score account for the difference in class sizes in models with different numbers of classes?
- What are the limitations of using the F1-score to compare models with different numbers of classes?
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