On this day 11/24/2006 05:03 PM, Amir Safari wrote: > Hi > you need predict.ksvm() function. > Yes, like this is below I do to predict (kernlab package, http://www.jstatsoft.org/v11/i09/v11i09.pdf): pima.pred <- predict(pimamodel, Pima.te[,-8], type="probabilities") pima.pred
My problems is how to find AUC (with ROCR package, or other ROC functions) from predict above. Regards, Muhammad Subianto > for more information see The kernlab package here: > http://lib.stat.cmu.edu/R/CRAN/doc/packages/kernlab.pdf > > cheers, > Amir > > > */Muhammad Subianto <[EMAIL PROTECTED]>/* wrote: > > Dear all, > I was wondering if someone can help me. I am learning SVM for > classification in my research with kernlab package. I want to know > about > classification performance using Area Under Curve (AUC). I know ROCR > package can do this job but I found all example in ROCR package have > include prediction, for example, ROCR.hiv {ROCR}. My problem is > how to > produce prediction in SVM and to find AUC. > > Here is a simple example: > > library(MASS) > library(kernlab) > library(ROCR) > > pimamodel <- ksvm(type ~ > .,data=Pima.tr,type="C-svc",C=10,prob.model=TRUE) > pimamodel > fitted(pimamodel) > > pima.pred <- predict(pimamodel, Pima.te[,-8], type="probabilities") > pima.pred > > # try to find AUC > #predid.no <- prediction(pima.pred[,1], Pima.te[,8]) > #predid.yes <- prediction(pima.pred[,2], Pima.te[,8]) > predid <- prediction(pima.pred, Pima.te[,8]) > perfid <- performance(predid,"tpr","fpr") > perfid.auc <- performance(predid,"auc") > perfid.auc > > Thank you very much for your help. > > Best wishes, Muhammad Subianto > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > > > ------------------------------------------------------------------------ > Cheap Talk? Check out > <http://us.rd.yahoo.com/mail_us/taglines/postman8/*http://us.rd.yahoo.com/evt=39663/*http://voice.yahoo.com> > > Yahoo! Messenger's low PC-to-Phone call rates. ______________________________________________ R-help@stat.math.ethz.ch 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.