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Related Questions
- What is the formula for calculating the F1-score in machine learning?
- How does the F1-score balance precision and recall in model evaluation?
- What are the implications of using F1-score instead of precision or recall alone?
- Can the F1-score be used for imbalanced datasets, and if so, how?
- How does the F1-score compare to other metrics such as accuracy and AUC-ROC?
- What are the limitations of using F1-score as a metric for model performance?
- Can the F1-score be used for multi-class classification problems, and if so, how?
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