Maithili Shiva <maithili_shiva <at> yahoo.com> writes: > I havd main sample of 42500 clentes and > based on their status as regards to defaulted / non - defaulted, I have genereted the probability of default. > > I have a hold out sample of 5000 clients. I have calculated (1) No of correctly classified goods Gg, (2) No of > correcly classified Bads Bg and also (3) number of wrongly classified bads (Gb) and (4) number of wrongly > classified goods (Bg).
The simple and wrong answer is to use these data directly to compute sensitivity (fraction of hits). This measure is useless, but I encounter it often in medical publications. You can get a more reasonable answer by using cross-validation. Check, for example, Frank Harrell's http://biostat.mc.vanderbilt.edu/twiki/pub/Main/RmS/logistic.val.pdf 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.
