Wild guess :
You need to have some kind of score for ROC to work (so you can work with a
threshold), so a predict() that only returns classlabels probably won't work.
On 13.07.2012, at 15:25, blerta wrote:
Hi,
I don't really understand how ROCR works. Here's another example with a
randomforest model: I have the training dataset(bank_training) and testing
dataset(bank_testing) and I ran a randomForest as below:
bankrf-randomForest(y~., bank_training, mtry=4, ntree=2,
keep.forest=TRUE,importance=TRUE)
bankrf.pred-predict(bankrf, bank_testing)
library(ROCR)
pred-prediction(bankrf.pred$y, bank_testing$y)
Here I get the error that the prediction format is incorrect? Where is the
mistake?
Thanks in advance
--
View this message in context:
http://r.789695.n4.nabble.com/ROC-curves-with-ROCR-tp4636435.html
Sent from the R help mailing list archive at Nabble.com.
__
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.