Precision-Recall and ROC Curves
Consider a binary classification task, and a real-valued predictor, where higher values denote more confidence that an instance is positive. By setting a fixed threshold on the output, we can trade-off recall (=true positive rate) versus false positive rate (resp. precision).
Depending on the relative class frequencies, ROC and P/R curves can highlight different properties; for details, see e.g., Davis & Goadrich, 'The Relationship Between Precision-Recall and ROC Curves', ICML 2006.
Zitieren als
Stefan Schroedl (2024). Precision-Recall and ROC Curves (https://www.mathworks.com/matlabcentral/fileexchange/21528-precision-recall-and-roc-curves), MATLAB Central File Exchange. Abgerufen .
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox >
- Industries > Biotech and Pharmaceutical > ROC - AUC >
Tags
Quellenangaben
Inspiriert: Lynx MATLAB Toolbox
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
prec_rec/
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.2.0.0 | Updated function arguments, added options |
||
1.1.0.0 | Update for better user interface, added options |
||
1.0.0.0 |