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Related Questions
- What is the mathematical formula for calculating the F1 score in machine learning?
- How does the F1 score differ from accuracy in evaluating model performance?
- Can the F1 score be used for multi-class classification problems, or is it limited to binary classification?
- What are some common scenarios where the F1 score is preferred over precision and recall individually?
- How does the F1 score help in understanding the trade-off between precision and recall in a classification model?
- Can the F1 score be used as a metric for regression problems, or is it only applicable to classification problems?
- What are some limitations of using the F1 score as a single metric for evaluating model performance?
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