Dear TMVA experts,
I am learning to use the TMVA package, here is the models (BDT and BDTF) I used:
factory -> BookMethod(dataloader, Types::kBDT, “BDT”, “!H:!V:NTrees=850:MinNodeSize=2.5%:MaxDepth=4:BoostType=AdaBoost:AdaBoostBeta=0.5:UseBaggedBoost:BaggedSampleFraction=0.5:SeparationType=GiniIndex:nCuts=20”);
factory -> BookMethod(dataloader, Types::kBDT, “BDTF”, “!H:!V:NTrees=50:MinNodeSize=2.5%:UseFisherCuts:MaxDepth=3:BoostType=AdaBoost:AdaBoostBeta=0.5:SeparationType=GiniIndex:nCuts=20”);
The training was successful, how ever I got very strange ROC curves, and the signal efficiency is almost a constant 100%:
: Testing efficiency compared to training efficiency (overtraining check)
: -------------------------------------------------------------------------------------------------------------------
: DataSet MVA Signal efficiency: from test sample (from training sample)
: Name: Method: @B=0.01 @B=0.10 @B=0.30
: -------------------------------------------------------------------------------------------------------------------
: babarTMVA BDT : 1.000 (1.000) 1.000 (1.000) 1.000 (1.000)
: babarTMVA BDTF : 1.000 (1.000) 1.000 (1.000) 1.000 (1.000)
Anyone has idea, where I did wrong, or how can I tune them?
Thanks a lot in advance!