random forest roc curve r
data(iris) library(randomForest) library(pROC) set.seed(1000) # 3-class in response variable rf = randomForest(Species~., data = iris, ntree = 100) # predict(.., type = 'prob') returns a probability matrix multiclass.roc(iris$Species, predict(rf, iris, type = 'prob')) ##shout out to Yin Zhao for the clear explanation ##https://www.researchgate.net/post/How_to_deal_with_multiple_class_ROC_analysis_in_R_pROC_package