ROC AUC from score groups
Audit discrimination using tied score groups and concordant case–control pairs.
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The starting values are hypothetical. Use aggregate or synthetic inputs only.
Calculation results
- ROC AUC
- 0.91666667
- Positive cases
- 2
- Negative cases
- 3
How to interpret the output
Higher scores predict the positive class. Each tied case–control pair contributes one half. Use a common, fully observed binary outcome and disjoint groups. AUC describes ranking and does not measure calibration.
Method reference