Frank E Harrell Jr wrote: > > This makes me think you are trying to go against maximum likelihood to > optimize an improper criterion. Forcing a single cutpoint to be chosen > seems to be at the heart of your problem. There's nothing wrong with > using probabilities and letting the utility possessor make the final > decision.
I agree, and in fact I was thinking along those lines, but I also needed a way of evaluating how good is the model to discriminate between abnormal and normal cases, as opposed to e.g. GOF. The only way I know of is using area under ROC (thus setting cut-off points), which also followed neatly from Michael Dewey comments. Any alternatives would be welcome :) -- Ramón Casero Cañas http://www.robots.ox.ac.uk/~rcasero/wiki http://www.robots.ox.ac.uk/~rcasero/blog ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
