What is ROC-AUC?
ROC-AUC measures how well a classifier ranks positives ahead of negatives across decision thresholds.
- Threshold-independent ranking view
- Useful for comparing classifiers
- Can mislead on highly imbalanced data
What is ROC-AUC?
What is ROC-AUC?
ROC-AUC measures how well a classifier ranks positives ahead of negatives across decision thresholds.