Hello David, thanks for your reply. I have added the information. library(caret) library(farff) library(DMwR)
d=readARFF("bughunter.arff") dput( head( d, 30 ) ) index <- createDataPartition(d$`Bug class`, p = .70,list = FALSE) tr <- d[index, ] ts <- d[-index, ] boot3 <- trainControl(method = "repeatedcv", number=10, repeats=10,classProbs = TRUE,verboseIter = FALSE, summaryFunction = twoClassSummary, sampling = "rose") set.seed(30218) ct <- train(`Bug class` ~ ., data = tr, method = "pls", metric = "AUC", preProc = c("center", "scale", "nzv"), trControl = boot3) getTrainPerf(ct) On Thu, Jul 23, 2020 at 1:08 AM David Winsemius <dwinsem...@comcast.net> wrote: > > On 7/22/20 3:43 PM, Neha gupta wrote: > > Hello, > > > > > > I get the following error when I use the ROSE class balancing method but > > when I use other methods like SMOTE, up, down, I do not get any error > > message. > > > > > > Something is wrong; all the ROC metric values are missing: > > > > ROC Sens Spec > > > > Min. : NA Min. : NA Min. : NA > > > > 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA > > > > Median : NA Median : NA Median : NA > > > > Mean :NaN Mean :NaN Mean :NaN > > > > 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA > > > > Max. : NA Max. : NA Max. : NA > > > > > > > > library(DMwR) > > > > d=readARFF("bughunter.arff") > > After installing that package and loading pkg:DMwR I get: > > > Error in readARFF("bughunter.arff") : could not find function "readARFF" > > > Since you also posted in HTML, I suggest you read the Posting Guide, > restart and R session and post a reproducible example that loads all > needed packages and data. > > -- > > David. > > > > > index <- createDataPartition(d$`Bug class`, p = .70,list = FALSE) > > > > tr <- d[index, ] > > > > ts <- d[-index, ] > > > > boot3 <- trainControl(method = "repeatedcv", number=10, > > repeats=10,classProbs = TRUE,verboseIter = FALSE, > > > > summaryFunction = twoClassSummary, sampling = "rose") > > > > set.seed(30218) > > > > ct <- train(`Bug class` ~ ., data = tr, > > > > method = "pls", > > > > metric = "AUC", > > > > preProc = c("center", "scale", "nzv"), > > > > trControl = boot3) > > > > getTrainPerf(ct) > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > 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 -- To UNSUBSCRIBE and more, see 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.