R help - Apr 2022 - How to output ROC/AUC in caret?

Hello everyone

I use the caret library to train a model and need to output ROC/AUC score,
however, caret outputs 'Accuracy' and not ROC/AUC.

The code is here

cv.folds <- createMultiFolds(train$TYPE, k = 10, times = 3)

ctrl <- trainControl(method = "cv",number=3, index = cv.folds,
classProbs TRUE, summaryFunction = multiClassSummary)


m= train(y = train_label, x = train_x,
      method = "rpart" , na.action = na.pass,
      metric = "ROC",
      preProc = c("center", "scale", "nzv"),
      trControl = ctrl)

p=predict(m, test_x)
confusionMatrix(p, as.factor(test_label))

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On Tue, 19 Apr 2022 19:08:37 +0200
Neha gupta <neha.bologna90 at gmail.com> wrote:
> Hello everyone
> 
> I use the caret library to train a model and need to output ROC/AUC
> score, however, caret outputs 'Accuracy' and not ROC/AUC.
Should you not be contacting the maintainer of the caret *package*
(*NOT* library!!!) rather than R-help?  (Type 'maintainer("caret")
in
the R console.)

cheers,

Rolf Turner

P.S. Please read the posting guide; in particular learn how to post in
*plain text* (not in html).

R. T.

-- 
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276