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Related Questions
- Can you explain how the type of medical text data affects the choice of evaluation metrics?
- In what ways do precision and recall impact the selection of hyperparameters in medical text classification models?
- How does the F1 score compare to accuracy in selecting hyperparameters for medical text classification models?
- Can you discuss the trade-offs between using F1 score vs. other evaluation metrics (e.g., AU-ROC) in hyperparameter tuning for medical text classification models?
- In what scenarios would using ROCAUC be preferred over F1 score in the selection of hyperparameters?
- Can you provide an example of a medical text classification task where using accuracy as an evaluation metric may lead to incorrect hyperparameter selection?
- How do task-specific metrics (e.g., sentence-level F1 score for named entity recognition) impact hyperparameter tuning in medical text classification models?
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