The AUC-ROC curve is a performance measurement for classification problems at various _______ levels.
- Confidence
- Sensitivity
- Specificity
- Threshold
The AUC-ROC curve measures classification performance at various threshold levels. It represents the trade-off between true positive rate (Sensitivity) and false positive rate (1 - Specificity) at different threshold settings. The threshold affects the classification decisions, and the AUC-ROC summarizes this performance.
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