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Related Questions
- What are the key differences between precision and recall in the context of text generation models?
- How does the F1-score take into account both precision and recall when evaluating a text generation model?
- What are some common scenarios where a high F1-score does not necessarily indicate high accuracy in a text generation model?
- Can a text generation model have a high F1-score but still produce inaccurate or irrelevant outputs?
- How does the F1-score relate to the concept of 'false positives' and 'false negatives' in text generation?
- What are some techniques to improve the F1-score of a text generation model without sacrificing accuracy?
- Can a text generation model with a high F1-score be considered reliable and trustworthy for real-world applications?
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