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Related Questions
- What are the key differences between ROC-AUC and accuracy metrics in evaluating binary classification models?
- How does the ROC-AUC score account for class imbalance in binary classification problems?
- Can you explain the concept of the area under the receiver operating characteristic curve (ROC-AUC) and its significance in model evaluation?
- How can the ROC-AUC score be used to compare the performance of different models on imbalanced datasets?
- What are some common pitfalls to avoid when using ROC-AUC scores to compare model performance?
- Can you provide examples of how to calculate and interpret ROC-AUC scores for different binary classification models?
- How can the ROC-AUC score be used to identify the most informative features in a binary classification model?
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