How to can I use TMVA to draw the ROC curve and compute its AUC of a discriminative variable?

Dear experts,

I’m using TMVA for training a BDTs classifier model. I noticed that after the model is ready, I can request a ROC curve of the BDTs trained and TMVA will tell me its AUC. But now I would like to know the discriminative power of the variables entered for training. Is there a method that I can use via TMVA to request the ROC curve of a variable as a TGraph object?

I setup via adding a signal tree and a background tree.

Hi @ammelsayed,

Adding @moneta in the loop so he can help you with your question.

Thanks,
Aaron