<Pedro.Rodriguez <at> sungard.com> writes: > There are two good papers that illustrate how to compare classifiers > using Sensitivity and Specificity and their extensions (e.g., likelihood > ratios, young index, KL distance, etc). > > See: > 1) Biggerstaff, Brad, 2000, "Comparing diagnostic tests: a simple > graphic using likelihood ratios," Statistics in Medicine, 19:649-663. > > 2) Lee, Wen-Chung, 1999, "Selecting diagnostic tests for ruling out or > ruling in disease: the use of the Kllback-Leibler distance," > International Epidemiological Association, 28:521-525. >
Both papers refer to medical applications, and even the most basic books on medical statistics explain the concepts in the context of incidence and prevalance of a disease. Interpreting sensitivity and specificity is much more a problem of the context than one of R and statistics: note that her application was in econometrics. Dieter ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.