HI, Saeed, Thanks so much for the help, I run your code and found the following problem, do you have any comments or suggestions?
> svm.p<-svm(as.factor(out) ~ ., data=train[,c( 2:18, 20:21, 24, 27:32)], probability=TRUE, method="C-classification", + kernel="radial", cost=bestc, gamma=bestg, cross=10) > > svm.pred<-predict(svm.p, valid, decision.values = TRUE, probability = TRUE) > library(ROCR) > svm.roc <- prediction(attributes(svm.pred)$decision.values, valid) Error in prediction(attributes(svm.pred)$decision.values, valid) : Number of cross-validation runs must be equal for predictions and labels. > length(svm.pred) [1] 943 > dim(valid) [1] 943 32 On Thu, Apr 29, 2010 at 4:49 PM, Saeed Abu Nimeh <sabun...@gmail.com> wrote: > svm.model <- svm(y~.,data=dataset,probability=TRUE) > svm.pred<-predict(svm.model, test.set, decision.values = TRUE, > probability = TRUE) > library(ROCR) > svm.roc <- prediction(attributes(svm.pred)$decision.values, test.set) > svm.auc <- performance(svm.roc, 'tpr', 'fpr') > plot(svm.auc) > > > On Thu, Apr 29, 2010 at 4:17 PM, Changbin Du <changb...@gmail.com> wrote: > >> x <- train[,c( 2:18, 20:21, 24, 27:31)] > >> y <- train$out > >> > >> svm.pr <- svm(x, y, probability = TRUE, method="C-classification", > > kernel="radial", cost=bestc, gamma=bestg, cross=10) > >> > >> pred <- predict(svm.pr, valid[,c( 2:18, 20:21, 24, 27:31)], > > decision.values = TRUE, probability = TRUE) > >> attr(pred, "decision.values")[1:4,] > > 16 23 43 52 > > 1.08157648 0.51241842 0.06234319 1.20656580 > >> attr(pred, "probabilities")[1:4,] > > NULL > > > > > > HI, Dear David and R community, > > > > I am trying to print out the probabilities and set a threshold for make > ROC > > curve. I dont know why it showed NULL for the probabilities. > > > > y<-train$out, is consisting of 0 and 1 binary values. > > > > Can you help me with this? > > > > Thanks so much! > > > > > > > > -- > > Sincerely, > > Changbin > > -- > > > > [[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. > > > -- Sincerely, Changbin -- [[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.
