I have trained the BDT and now have the weights. Then, I apply this to a mixed of signal and background events (data)
Create TMVA::Reader and add BDT method from weight file
Read in data from tree
For event in tree
store the BDT response and the corresponding variables to the output
and now I want find out the ROC curve as a check of its performance on the data events. My signal and background efficiency definition is basically eff = N(BDT)/N(S/B) as N(BDT) corresponds to the # of signal and background events passing BDT and N(S/B) all signal(S) and background(B) events. Basically, what is missing here is my S and B class in the tree. How can I store them?