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Related Questions
- What are the common metrics used to evaluate machine learning models on imbalanced datasets?
- How does the F1-score handle class imbalance in a dataset?
- Can the F1-score be used as a standalone metric to evaluate model performance on imbalanced datasets?
- What are the limitations of using the F1-score on imbalanced datasets?
- Are there any other metrics that are more suitable for evaluating model performance on imbalanced datasets?
- How does class weight affect the F1-score in imbalanced datasets?
- Can you provide examples of situations where the F1-score is not suitable for evaluating model performance on imbalanced datasets?
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