Displaying 1 result from an estimated 1 matches for "trainpr".
Did you mean:
trainor
2011 May 12
2
Can ROC be used as a metric for optimal model selection for randomForest?
...o use ROC as the metric for variable selection. I know that this works with the logit model by making sure that classProbs = TRUE and summaryFunction = twoClassSummary in the trainControl function. However if I do the same with randomForest, I get a warning saying that
"In train.default(x = trainPred, y = trainDep, method = "rf", :
The metric "ROC" was not in the result set. Accuracy will be used instead."
I wonder if ROC metric can be used for randomForest? Have I missed something? Very very grateful if anyone can help!
Best regards,
XiaoLiu...