Found the solution to my own question. To find the false positive rate
and the false negative rate that correspond to a certain cutoff point
using the ROCR package, one can do the following (for sure there is
simpler ways, but this works):
library(ElemStatLearn)
library(rpart)
data(spam)
If we use the ROCR package to find the accuracy of a classifier
pred - prediction(svm.pred, testset[,2])
perf.acc - performance(pred,acc)
Do we find the maximum accuracy as follows (is there a simplier way?):
max(perf@x.values[[1]])
Then to find the cutoff point that maximizes the accuracy
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