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Related Questions
- What is the difference between ROC-AUC and accuracy in evaluating binary classification models?
- How does the ROC-AUC score relate to the precision and recall of a binary classification model?
- Can you explain the concept of the area under the ROC curve (AUC) and its importance in evaluating model performance?
- What is the optimal ROC-AUC score for a binary classification model, and how is it determined?
- How does the ROC-AUC score change when dealing with imbalanced datasets in binary classification?
- Can you provide examples of scenarios where the ROC-AUC score is more informative than accuracy in evaluating binary classification models?
- What are the limitations of using ROC-AUC as a single metric for evaluating binary classification models?
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