Receiver operating characteristic (ROC) analysis: valuating discriminance effects among decision support systems
2001 (English)Report (Other academic)
An overview of the usage of Receiver Operating Characteristic (ROC) analysis within medicine and computer science is given. A survey of the theory behind the analysis is given together with a presentation of how to create the ROC curve and different methods to interpret it. Both methods that rely on binormal distributions and methods that rely on distribution free methods have been mentioned.
A way to better know the quality of the measurements of sensitivity and specificity is presented. The quality measures and the QROC curve as is also included together with a discussion about optimal cut-offs and the connection to Bayesian decision theory. Results from earlier experiments and case studies will be used to exemplify the use of the ROC and QROC curves.
Place, publisher, year, edition, pages
Umeå: Dept. of Computing Science, Umeå University , 2001. , 26 p.
Report / UMINF, ISSN 0348-0542 ; 18
IdentifiersURN: urn:nbn:se:umu:diva-34848OAI: oai:DiVA.org:umu-34848DiVA: diva2:325974