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Related Questions
- What is the effect of class imbalance on the F1-score and AUC-ROC metrics in machine learning models?
- How do F1-score and AUC-ROC behave when the positive class is underrepresented in the dataset?
- Under what conditions do F1-score and AUC-ROC tend to agree and disagree with each other?
- Can you explain why F1-score is more sensitive to class imbalance than AUC-ROC?
- How does the choice of class imbalance correction techniques affect the F1-score and AUC-ROC values?
- What are the implications of using F1-score and AUC-ROC as evaluation metrics in cases of class imbalance?
- Can you provide examples of scenarios where F1-score and AUC-ROC would yield different conclusions about a model's performance?
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