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Related Questions
- What is the F1-score and how is it calculated in the context of model evaluation?
- How does class imbalance affect the F1-score and what are its implications for model performance?
- What are some common techniques used to address class imbalance and improve the F1-score in machine learning models?
- Can you explain the difference between precision, recall, and F1-score in the context of class imbalance?
- How does the F1-score compare to other evaluation metrics such as accuracy and AUC-ROC in terms of handling class imbalance?
- What are some real-world applications where class imbalance is a significant issue and how is the F1-score used in these scenarios?
- Are there any limitations or challenges associated with using the F1-score for model evaluation in the presence of class imbalance?
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