Andra, Two common methods are the AUC (area under the curve) and the Log Likelihood.
The ROCR package has several nice functions for evaluating the accuracy of your model -- Noah Silverman UCLA Department of Statistics 8117 Math Sciences Building Los Angeles, CA 90095 On Aug 25, 2011, at 9:58 PM, Andra Isan wrote: > Hi All, > > When modeling with glm and family = binomial (link = logit) and response > values of 0 and 1, I get the predicted probabilities of assigning to my class > one, then I would like to compare it with my vector y which does have the > original labels. How should I change the probabilities into values of zero > and 1 and then compare it with my vector y to find out about the accuracy of > my prediction? > > Thanks, > Andra > > ______________________________________________ > 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. [[alternative HTML version deleted]] ______________________________________________ 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.
