On 7/23/20 9:34 AM, Neha gupta wrote: > > Hello David, file not found should be the path problem I guess. I just > forgot the pROC library, which I included here. These are all the > libraries I am using. > > library(caret) > library(farff) > library(DMwR) > library(pROC) > library(pls) > > setwd("C:/Users/PC/Documents") > d=readARFF("bughunter.arff")
I suppose *you* might have such a file in that directory, but do you assume that *we* will???? A reproducible example will allow others to run your code. Seems fairly clear that we are not there yet. -- David. > dput( head( d, 30 ) ) > > index <- createDataPartition(d$`Bug class`, p = .70,list = FALSE) > > tr <- d[index, ] > > ts <- d[-index, ] > > boot3 <- trainControl(method = "repeatedcv", number=10, > repeats=10,classProbs = TRUE,verboseIter = FALSE, > > summaryFunction = twoClassSummary, sampling = "rose") > > set.seed(30218) > > ct <- train(`Bug class` ~ ., data = tr, method = "pls", metric = > "AUC", preProc = c("center", "scale", "nzv"), trControl = boot3) > > getTrainPerf(ct) > > > > <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=icon> > > Virus-free. www.avast.com > <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=link> > > > > > On Thu, Jul 23, 2020 at 4:01 PM Neha gupta <neha.bologn...@gmail.com > <mailto:neha.bologn...@gmail.com>> wrote: > > > Hello David, thanks for your reply. I have added the information. > > library(caret) > library(farff) > library(DMwR) > > d=readARFF("bughunter.arff") > dput( head( d, 30 ) ) > > index <- createDataPartition(d$`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 <mailto: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 <mailto: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.