I am new to TMVA. So far, I define my signal and background region and prepare an output to use for TMVA. I am using BDT(boosted decision tree) method.
My question is when I using the small size samples (10000000 events)to do the training and testing, the MVA works. However, if I change the larger size samples (40000000 events)to training, the training will break down, seems like:
[sheny@lxplus784 HZg]$ root -l HZg_mva.c root  Processing HZg_mva.c... input signal file debug DataSetInfo : [dataset] : Added class "Signal" : Add Tree mEvent of type Signal with 14342801 events : Add Tree mEvent of type Signal with 36318813 events DataSetInfo : [dataset] : Added class "Background" : Add Tree mEvent of type Background with 66930010 events Factory : Booking method: BDT : [sheny@lxplus784 HZg]$
I do not think the problem is in the code itself.
Can someone help me, please?
Here is my MVAcode:HZg_mva.c (4.2 KB)