Andra, You can transfer the probabilities into class membership by setting up a cut-off value, usually 0.5.
set.seed(3) x<-rnorm(100) y<-rbinom(100,prob=1/(1+exp(x)),size=1) model<-glm(y~x,family=binomial(link=logit)) pred<-ifelse(predict(model,type='response')>0.5,1,0) table(pred,y) Weidong Gu On Fri, Aug 26, 2011 at 12:58 AM, Andra Isan <andra_i...@yahoo.com> 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. > ______________________________________________ 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.
