I am using boosted decision trees (as a regressor) in TMVA. I want an error estimate along with the prediction (e.g. EvaluateMVA() --> 2.5 ± 0.5). I’ve combed through the documentation and I thought that perhaps Reader->GetMVAError() was what I needed but this always returns exactly zero (after calling EvaluateMVA first).
Is there a flag that needs to be set during training to get access to this feature? Or is this not the intent of this method?