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Besides being the area under the ROC curve, AUC is has a slightly less known interpretation:
If you choose a random pair of samples (one positive and one negative) - AUC is the probability that the positive-sample score is above the negative-sample score.
Here we compute the AUC by counting these pairs.
Cite As
Lior Kirsch (2026). Fast AUC (https://www.mathworks.com/matlabcentral/fileexchange/50962-fast-auc), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.05 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
