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Related Questions
- What are the key differences between precision and recall in NLP tasks?
- How is the F1 score calculated, and what does it represent?
- Can you explain the concept of precision in the context of NLP classification tasks?
- What are some common metrics used to evaluate the performance of named entity recognition models?
- How does the choice of metric impact the development and evaluation of NLP models?
- What are some limitations of using precision and F1 score as evaluation metrics in NLP tasks?
- Can you provide examples of scenarios where precision is more important than recall, and vice versa?
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