I am building a multinomial logistic regression on top of the iris datas-set, to segregate it into 3 classes.
I'm using the mulitnom() function from the nnet package:
mod1 = multinom(Species~., data = iris, trace = F)
After building the model, i am predicting the results on top of the iris data-set:
This only gives me a confusion matrix, but i want to find the AUC for these three classes, how can i do that?