_________ is a metric that considers both the ability of the classifier to correctly identify positive cases and the ability to correctly identify negative cases.
- AUC
- F1-Score
- Precision
- nan
AUC (Area Under the Curve) considers both the ability of the classifier to identify positive cases (sensitivity) and the ability to identify negative cases (specificity) at various thresholds, providing a comprehensive view.
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