Confusion Matrix and it's 25 offspring: or the link between machine learning and epidemiology Dr. Yury Zablotski

For instance, an LR of 3 suggests that for every false positive, there are 3 true positives. The greater the value of the LR for a particular test, the more likely a positive test result is a true positive. On the other hand, an LR 1 would imply that an individual with a positive test result is more likely to be non-diseased than diseased. The rationale for the diagnostic odds ratio is that it is a single indicator of test performance (like accuracy and Youden's J index, explained below) which is independent of prevalence (unlike accuracy) and is presented as an odds ratio, which is familiar to epidemiologists. Similarly to a usual odds ratio, the diagnostic odds ratio ranges from zero to infinity, where DOR greater then one is already good, and the higher DOR goes, the better the test performs. DOR of less than one indicates that the test performs bad, or even gives wrong information.