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Related Questions
- What are the common use cases for F1 score in machine learning model evaluation?
- Can you explain the mathematical formula for calculating F1 score?
- How does F1 score differ from precision and recall in terms of its ability to balance between them?
- What are the implications of a high F1 score on the performance of a classification model?
- Can you provide examples of scenarios where a high precision but low recall is acceptable, and vice versa?
- How can F1 score be used to compare the performance of different machine learning models on the same dataset?
- What are some common pitfalls or limitations of using F1 score as a single metric for model evaluation?
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