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Related Questions
- What are the key differences between F1-score and AUC-ROC in evaluating model performance?
- How do F1-score and AUC-ROC handle class imbalance in a real-world dataset?
- Can you provide examples of scenarios where F1-score is more suitable than AUC-ROC, and vice versa?
- How do F1-score and AUC-ROC differ in their sensitivity to false positives and false negatives?
- In what situations is AUC-ROC more effective than F1-score in assessing model performance?
- Can you explain the relationship between F1-score and AUC-ROC in terms of precision and recall?
- How do F1-score and AUC-ROC perform when dealing with multi-class classification problems?
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