Demo usage of the information from the TMVA interface fitting TPC QA variables

Load TMVA interface function
Load tree and defining derived information (TTree aliases) and metadata
CacheTree input variables to tree format usable by TMVA
Register example methods used for regression
Emulation of the bootstrap - training repeated several time
Load array of regression -used later in the array regression evaluation (mean, median, rms)
Example draw queries



In [1]:

    
%jsroot OFF



In [2]:

    
gSystem->AddIncludePath("-I$ALICE_ROOT/include/"); //couldn't add include path in .rootr
AliDrawStyle::SetDefaults();
AliDrawStyle::ApplyStyle("figTemplate");
TCanvas *canvasDraw = new TCanvas("canvasDraw","canvasDraw",900,700);
TTree *treeCache=0,*tree=0;









    



Info in <AliDrawStyle::ApplyStyle>: figTemplate

Load TMVA interface function



In [3]:

    
.L $AliRoot_SRC/STAT/Macros/AliNDFunctionInterface.cxx+

Load tree and defining derived information (TTree aliases) and metadata



In [4]:

    
AliExternalInfo info;
tree = info.GetChain("QA.TPC", "LHC17*", "cpass1_pass1", "QA.EVS;QA.rawTPC");
tree->SetAlias("interactionRate", "QA.EVS.interactionRate");
///
tree->SetAlias("qmaxQASum", "Sum$(qmaxQA.fElements*((abs(qmaxQA.fElements-40)<20)))/Sum$((abs(qmaxQA.fElements-40)<20))");
tree->SetAlias("qmaxQASumIn", "Sum$(qmaxQA.fElements*((Iteration$<36&&abs(qmaxQA.fElements-40)<20)))/Sum$((Iteration$<36&&abs(qmaxQA.fElements-40)<20))");
tree->SetAlias("qmaxQASumOut", "Sum$(qmaxQA.fElements*((Iteration$>=36&&abs(qmaxQA.fElements-40)<20)))/Sum$((Iteration$>=36&&abs(qmaxQA.fElements-40)<20))");
tree->SetAlias("qmaxQASumR", "qmaxQASumIn/qmaxQASum");
tree->SetAlias("meanMIPeleR", "meanMIPele/meanMIP");
tree->SetAlias("bz0", "bz+rndm*0.0001");
tree->SetMarkerStyle(21); tree->SetMarkerSize(0.5);









    



Info in <AliExternalInfo::ReadConfig>: Path: $ALICE_ROOT/STAT/Macros/AliExternalInfo.cfg	/data/alicesw6/sw/ubuntu1604_x86-64/AliRoot/0_ROOT6-1/STAT/Macros/AliExternalInfo.cfg
Info in <AliExternalInfo::SetupVariables>: Information will be stored/retrieved in/from /homeold/miranov/AliExternalInfoCache//data/2017/LHC17*/cpass1_pass1/
Info in <AliExternalInfo::GetChain>: Files to add to chain: /homeold/miranov/AliExternalInfoCache//data/2017/LHC17c/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17e/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17f/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17g/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17h/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17i/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17j/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17k/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17l/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17m/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17n/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17o/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17p/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17q/cpass1_pass1/TPC_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17r/cpass1_pass1/TPC_trending.root
Info in <AliExternalInfo::SetupVariables>: Information will be stored/retrieved in/from /homeold/miranov/AliExternalInfoCache//data/2017/LHC17*/cpass1_pass1/
Info in <AliExternalInfo::AddChain>: Add to internal Chain: /homeold/miranov/AliExternalInfoCache//data/2017/LHC17*/cpass1_pass1/TPC_trending.root
Info in <AliExternalInfo::AddChain>: with tree name: tpcQA,trending
Error in <TChainIndex::TChainIndex>: The indices in files of this chain aren't sorted.
Error in <TTreePlayer::BuildIndex>: Creating a TChainIndex unsuccessful - switching to TTreeIndex






    



Collection name='metaTable', class='THashList', size=1490
 OBJ: TNamed	DCAr_Status.html	%d<run>/dca_and_phi.png
 OBJ: TNamed	DCAz_Status.html	%d<run>/dca_and_phi.png
 OBJ: TNamed	MIPattachSlopeA.AxisTitle	 dEdx(MIP/50) Attach
 OBJ: TNamed	MIPattachSlopeA.Description	TPC standard QA variables.  Class TPC dEdx Attach ASide
 OBJ: TNamed	MIPattachSlopeA.Legend	 dEdx Attach A side
 OBJ: TNamed	MIPattachSlopeA.Title	 dEdx Attach A side
 OBJ: TNamed	MIPattachSlopeA.class	TPC dEdx Attach ASide
 OBJ: TNamed	MIPattachSlopeC.AxisTitle	 dEdx(MIP/50) Attach
 OBJ: TNamed	MIPattachSlopeC.Description	TPC standard QA variables.  Class TPC dEdx Attach CSide
 OBJ: TNamed	MIPattachSlopeC.Legend	 dEdx Attach C side
 OBJ: TNamed	MIPattachSlopeC.Title	 dEdx Attach C side
 OBJ: TNamed	MIPattachSlopeC.class	TPC dEdx Attach CSide
 OBJ: TNamed	PID_Status.html	%d<run>/TPC_dEdx_track_info.png
 OBJ: TNamed	TPC_Occ_IROC..AxisTitle	 Occupancy
 OBJ: TNamed	TPC_Occ_IROC..Description	TPC standard QA variables.  Class TPC Occ CSide IROC Class:TVectorT<float>
 OBJ: TNamed	TPC_Occ_IROC..Legend	 Occ. C side IROC
 OBJ: TNamed	TPC_Occ_IROC..Title	 Occupancy C side IROC
 OBJ: TNamed	TPC_Occ_IROC..class	TPC Occ CSide IROC Class:TVectorT<float>
 OBJ: TNamed	TPC_Occ_OROC..AxisTitle	 Occupancy
 OBJ: TNamed	TPC_Occ_OROC..Description	TPC standard QA variables.  Class TPC Occ CSide OROC Class:TVectorT<float>
 OBJ: TNamed	TPC_Occ_OROC..Legend	 Occ. C side OROC
 OBJ: TNamed	TPC_Occ_OROC..Title	 Occupancy C side OROC
 OBJ: TNamed	TPC_Occ_OROC..class	TPC Occ CSide OROC Class:TVectorT<float>
 OBJ: TNamed	bz.AxisTitle	 z(cm)
 OBJ: TNamed	bz.Description	TPC standard QA variables.  Class TPC Z
 OBJ: TNamed	bz.Legend	 z
 OBJ: TNamed	bz.Title	 z
 OBJ: TNamed	bz.class	TPC Z
 OBJ: TNamed	dataType..AxisTitle	
 OBJ: TNamed	dataType..Description	TPC standard QA variables.  Class TPC Class:TObjString
 OBJ: TNamed	dataType..Legend	
 OBJ: TNamed	dataType..Title	
 OBJ: TNamed	dataType..class	TPC Class:TObjString
 OBJ: TNamed	dcarAP0.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcarAP0.Description	TPC standard QA variables.  Class TPC DCAr ASide
 OBJ: TNamed	dcarAP0.Legend	 DCA_{xy} A side
 OBJ: TNamed	dcarAP0.Title	 DCA_{xy} A side
 OBJ: TNamed	dcarAP0.class	TPC DCAr ASide
 OBJ: TNamed	dcarAP1.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcarAP1.Description	TPC standard QA variables.  Class TPC DCAr ASide
 OBJ: TNamed	dcarAP1.Legend	 DCA_{xy} A side
 OBJ: TNamed	dcarAP1.Title	 DCA_{xy} A side
 OBJ: TNamed	dcarAP1.class	TPC DCAr ASide
 OBJ: TNamed	dcarCP0.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcarCP0.Description	TPC standard QA variables.  Class TPC DCAr CSide
 OBJ: TNamed	dcarCP0.Legend	 DCA_{xy} C side
 OBJ: TNamed	dcarCP0.Title	 DCA_{xy} C side
 OBJ: TNamed	dcarCP0.class	TPC DCAr CSide
 OBJ: TNamed	dcarCP1.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcarCP1.Description	TPC standard QA variables.  Class TPC DCAr CSide
 OBJ: TNamed	dcarCP1.Legend	 DCA_{xy} C side
 OBJ: TNamed	dcarCP1.Title	 DCA_{xy} C side
 OBJ: TNamed	dcarCP1.class	TPC DCAr CSide
 OBJ: TNamed	dcar_negA_0.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negA_0.Description	TPC standard QA variables.  Class TPC DCAr ASide Neg
 OBJ: TNamed	dcar_negA_0.Legend	 DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_0.Title	 DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_0.class	TPC DCAr ASide Neg
 OBJ: TNamed	dcar_negA_0_Err.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negA_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAr ASide Neg
 OBJ: TNamed	dcar_negA_0_Err.Legend	 DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_0_Err.Title	#sigma DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_0_Err.class	TPC Err DCAr ASide Neg
 OBJ: TNamed	dcar_negA_1.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negA_1.Description	TPC standard QA variables.  Class TPC DCAr ASide Neg
 OBJ: TNamed	dcar_negA_1.Legend	 DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_1.Title	 DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_1.class	TPC DCAr ASide Neg
 OBJ: TNamed	dcar_negA_1_Err.AxisTitle	 x_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_negA_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAr ASide Neg
 OBJ: TNamed	dcar_negA_1_Err.Legend	 x_{G} DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_1_Err.Title	#sigma x_{G} DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_1_Err.class	TPC Err FitGX DCAr ASide Neg
 OBJ: TNamed	dcar_negA_2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negA_2.Description	TPC standard QA variables.  Class TPC DCAr ASide Neg
 OBJ: TNamed	dcar_negA_2.Legend	 DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_2.Title	 DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_2.class	TPC DCAr ASide Neg
 OBJ: TNamed	dcar_negA_2_Err.AxisTitle	 y_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_negA_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAr ASide Neg
 OBJ: TNamed	dcar_negA_2_Err.Legend	 y_{G} DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_2_Err.Title	#sigma y_{G} DCA_{xy} A side Q<0
 OBJ: TNamed	dcar_negA_2_Err.class	TPC Err FitGY DCAr ASide Neg
 OBJ: TNamed	dcar_negA_chi2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negA_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAr Neg
 OBJ: TNamed	dcar_negA_chi2.Legend	 DCA_{xy} Q<0
 OBJ: TNamed	dcar_negA_chi2.Title	 #chi2 DCA_{xy} Q<0
 OBJ: TNamed	dcar_negA_chi2.class	TPC Chi2 DCAr Neg
 OBJ: TNamed	dcar_negC_0.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negC_0.Description	TPC standard QA variables.  Class TPC DCAr CSide Neg
 OBJ: TNamed	dcar_negC_0.Legend	 DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_0.Title	 DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_0.class	TPC DCAr CSide Neg
 OBJ: TNamed	dcar_negC_0_Err.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negC_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAr CSide Neg
 OBJ: TNamed	dcar_negC_0_Err.Legend	 DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_0_Err.Title	#sigma DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_0_Err.class	TPC Err DCAr CSide Neg
 OBJ: TNamed	dcar_negC_1.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negC_1.Description	TPC standard QA variables.  Class TPC DCAr CSide Neg
 OBJ: TNamed	dcar_negC_1.Legend	 DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_1.Title	 DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_1.class	TPC DCAr CSide Neg
 OBJ: TNamed	dcar_negC_1_Err.AxisTitle	 x_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_negC_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAr CSide Neg
 OBJ: TNamed	dcar_negC_1_Err.Legend	 x_{G} DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_1_Err.Title	#sigma x_{G} DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_1_Err.class	TPC Err FitGX DCAr CSide Neg
 OBJ: TNamed	dcar_negC_2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negC_2.Description	TPC standard QA variables.  Class TPC DCAr CSide Neg
 OBJ: TNamed	dcar_negC_2.Legend	 DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_2.Title	 DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_2.class	TPC DCAr CSide Neg
 OBJ: TNamed	dcar_negC_2_Err.AxisTitle	 y_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_negC_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAr CSide Neg
 OBJ: TNamed	dcar_negC_2_Err.Legend	 y_{G} DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_2_Err.Title	#sigma y_{G} DCA_{xy} C side Q<0
 OBJ: TNamed	dcar_negC_2_Err.class	TPC Err FitGY DCAr CSide Neg
 OBJ: TNamed	dcar_negC_chi2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_negC_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAr Neg
 OBJ: TNamed	dcar_negC_chi2.Legend	 DCA_{xy} Q<0
 OBJ: TNamed	dcar_negC_chi2.Title	 #chi2 DCA_{xy} Q<0
 OBJ: TNamed	dcar_negC_chi2.class	TPC Chi2 DCAr Neg
 OBJ: TNamed	dcar_posA_0.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posA_0.Description	TPC standard QA variables.  Class TPC DCAr ASide Pos
 OBJ: TNamed	dcar_posA_0.Legend	 DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_0.Title	 DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_0.class	TPC DCAr ASide Pos
 OBJ: TNamed	dcar_posA_0_Err.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posA_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAr ASide Pos
 OBJ: TNamed	dcar_posA_0_Err.Legend	 DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_0_Err.Title	#sigma DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_0_Err.class	TPC Err DCAr ASide Pos
 OBJ: TNamed	dcar_posA_1.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posA_1.Description	TPC standard QA variables.  Class TPC DCAr ASide Pos
 OBJ: TNamed	dcar_posA_1.Legend	 DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_1.Title	 DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_1.class	TPC DCAr ASide Pos
 OBJ: TNamed	dcar_posA_1_Err.AxisTitle	 x_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_posA_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAr ASide Pos
 OBJ: TNamed	dcar_posA_1_Err.Legend	 x_{G} DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_1_Err.Title	#sigma x_{G} DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_1_Err.class	TPC Err FitGX DCAr ASide Pos
 OBJ: TNamed	dcar_posA_2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posA_2.Description	TPC standard QA variables.  Class TPC DCAr ASide Pos
 OBJ: TNamed	dcar_posA_2.Legend	 DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_2.Title	 DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_2.class	TPC DCAr ASide Pos
 OBJ: TNamed	dcar_posA_2_Err.AxisTitle	 y_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_posA_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAr ASide Pos
 OBJ: TNamed	dcar_posA_2_Err.Legend	 y_{G} DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_2_Err.Title	#sigma y_{G} DCA_{xy} A side Q>0
 OBJ: TNamed	dcar_posA_2_Err.class	TPC Err FitGY DCAr ASide Pos
 OBJ: TNamed	dcar_posA_chi2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posA_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAr Pos
 OBJ: TNamed	dcar_posA_chi2.Legend	 DCA_{xy} Q>0
 OBJ: TNamed	dcar_posA_chi2.Title	 #chi2 DCA_{xy} Q>0
 OBJ: TNamed	dcar_posA_chi2.class	TPC Chi2 DCAr Pos
 OBJ: TNamed	dcar_posC_0.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posC_0.Description	TPC standard QA variables.  Class TPC DCAr CSide Pos
 OBJ: TNamed	dcar_posC_0.Legend	 DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_0.Title	 DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_0.class	TPC DCAr CSide Pos
 OBJ: TNamed	dcar_posC_0_Err.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posC_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAr CSide Pos
 OBJ: TNamed	dcar_posC_0_Err.Legend	 DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_0_Err.Title	#sigma DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_0_Err.class	TPC Err DCAr CSide Pos
 OBJ: TNamed	dcar_posC_1.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posC_1.Description	TPC standard QA variables.  Class TPC DCAr CSide Pos
 OBJ: TNamed	dcar_posC_1.Legend	 DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_1.Title	 DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_1.class	TPC DCAr CSide Pos
 OBJ: TNamed	dcar_posC_1_Err.AxisTitle	 x_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_posC_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAr CSide Pos
 OBJ: TNamed	dcar_posC_1_Err.Legend	 x_{G} DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_1_Err.Title	#sigma x_{G} DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_1_Err.class	TPC Err FitGX DCAr CSide Pos
 OBJ: TNamed	dcar_posC_2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posC_2.Description	TPC standard QA variables.  Class TPC DCAr CSide Pos
 OBJ: TNamed	dcar_posC_2.Legend	 DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_2.Title	 DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_2.class	TPC DCAr CSide Pos
 OBJ: TNamed	dcar_posC_2_Err.AxisTitle	 y_{G} DCA_{xy}(cm)
 OBJ: TNamed	dcar_posC_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAr CSide Pos
 OBJ: TNamed	dcar_posC_2_Err.Legend	 y_{G} DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_2_Err.Title	#sigma y_{G} DCA_{xy} C side Q>0
 OBJ: TNamed	dcar_posC_2_Err.class	TPC Err FitGY DCAr CSide Pos
 OBJ: TNamed	dcar_posC_chi2.AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	dcar_posC_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAr Pos
 OBJ: TNamed	dcar_posC_chi2.Legend	 DCA_{xy} Q>0
 OBJ: TNamed	dcar_posC_chi2.Title	 #chi2 DCA_{xy} Q>0
 OBJ: TNamed	dcar_posC_chi2.class	TPC Chi2 DCAr Pos
 OBJ: TNamed	dcaz_negA_0.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negA_0.Description	TPC standard QA variables.  Class TPC DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_0.Legend	 DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_0.Title	 DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_0.class	TPC DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_0_Err.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negA_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_0_Err.Legend	 DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_0_Err.Title	#sigma DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_0_Err.class	TPC Err DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_1.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negA_1.Description	TPC standard QA variables.  Class TPC DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_1.Legend	 DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_1.Title	 DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_1.class	TPC DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_1_Err.AxisTitle	 x_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_negA_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_1_Err.Legend	 x_{G} DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_1_Err.Title	#sigma x_{G} DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_1_Err.class	TPC Err FitGX DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negA_2.Description	TPC standard QA variables.  Class TPC DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_2.Legend	 DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_2.Title	 DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_2.class	TPC DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_2_Err.AxisTitle	 y_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_negA_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_2_Err.Legend	 y_{G} DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_2_Err.Title	#sigma y_{G} DCA_{z} A side Q<0
 OBJ: TNamed	dcaz_negA_2_Err.class	TPC Err FitGY DCAz ASide Neg
 OBJ: TNamed	dcaz_negA_chi2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negA_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAz Neg
 OBJ: TNamed	dcaz_negA_chi2.Legend	 DCA_{z} Q<0
 OBJ: TNamed	dcaz_negA_chi2.Title	 #chi2 DCA_{z} Q<0
 OBJ: TNamed	dcaz_negA_chi2.class	TPC Chi2 DCAz Neg
 OBJ: TNamed	dcaz_negC_0.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negC_0.Description	TPC standard QA variables.  Class TPC DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_0.Legend	 DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_0.Title	 DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_0.class	TPC DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_0_Err.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negC_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_0_Err.Legend	 DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_0_Err.Title	#sigma DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_0_Err.class	TPC Err DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_1.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negC_1.Description	TPC standard QA variables.  Class TPC DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_1.Legend	 DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_1.Title	 DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_1.class	TPC DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_1_Err.AxisTitle	 x_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_negC_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_1_Err.Legend	 x_{G} DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_1_Err.Title	#sigma x_{G} DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_1_Err.class	TPC Err FitGX DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negC_2.Description	TPC standard QA variables.  Class TPC DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_2.Legend	 DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_2.Title	 DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_2.class	TPC DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_2_Err.AxisTitle	 y_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_negC_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_2_Err.Legend	 y_{G} DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_2_Err.Title	#sigma y_{G} DCA_{z} C side Q<0
 OBJ: TNamed	dcaz_negC_2_Err.class	TPC Err FitGY DCAz CSide Neg
 OBJ: TNamed	dcaz_negC_chi2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_negC_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAz Neg
 OBJ: TNamed	dcaz_negC_chi2.Legend	 DCA_{z} Q<0
 OBJ: TNamed	dcaz_negC_chi2.Title	 #chi2 DCA_{z} Q<0
 OBJ: TNamed	dcaz_negC_chi2.class	TPC Chi2 DCAz Neg
 OBJ: TNamed	dcaz_posA_0.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posA_0.Description	TPC standard QA variables.  Class TPC DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_0.Legend	 DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_0.Title	 DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_0.class	TPC DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_0_Err.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posA_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_0_Err.Legend	 DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_0_Err.Title	#sigma DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_0_Err.class	TPC Err DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_1.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posA_1.Description	TPC standard QA variables.  Class TPC DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_1.Legend	 DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_1.Title	 DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_1.class	TPC DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_1_Err.AxisTitle	 x_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_posA_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_1_Err.Legend	 x_{G} DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_1_Err.Title	#sigma x_{G} DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_1_Err.class	TPC Err FitGX DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posA_2.Description	TPC standard QA variables.  Class TPC DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_2.Legend	 DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_2.Title	 DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_2.class	TPC DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_2_Err.AxisTitle	 y_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_posA_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_2_Err.Legend	 y_{G} DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_2_Err.Title	#sigma y_{G} DCA_{z} A side Q>0
 OBJ: TNamed	dcaz_posA_2_Err.class	TPC Err FitGY DCAz ASide Pos
 OBJ: TNamed	dcaz_posA_chi2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posA_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAz Pos
 OBJ: TNamed	dcaz_posA_chi2.Legend	 DCA_{z} Q>0
 OBJ: TNamed	dcaz_posA_chi2.Title	 #chi2 DCA_{z} Q>0
 OBJ: TNamed	dcaz_posA_chi2.class	TPC Chi2 DCAz Pos
 OBJ: TNamed	dcaz_posC_0.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posC_0.Description	TPC standard QA variables.  Class TPC DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_0.Legend	 DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_0.Title	 DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_0.class	TPC DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_0_Err.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posC_0_Err.Description	TPC standard QA variables.  Class TPC Err DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_0_Err.Legend	 DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_0_Err.Title	#sigma DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_0_Err.class	TPC Err DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_1.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posC_1.Description	TPC standard QA variables.  Class TPC DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_1.Legend	 DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_1.Title	 DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_1.class	TPC DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_1_Err.AxisTitle	 x_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_posC_1_Err.Description	TPC standard QA variables.  Class TPC Err FitGX DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_1_Err.Legend	 x_{G} DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_1_Err.Title	#sigma x_{G} DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_1_Err.class	TPC Err FitGX DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posC_2.Description	TPC standard QA variables.  Class TPC DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_2.Legend	 DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_2.Title	 DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_2.class	TPC DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_2_Err.AxisTitle	 y_{G} DCA_{z}(cm)
 OBJ: TNamed	dcaz_posC_2_Err.Description	TPC standard QA variables.  Class TPC Err FitGY DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_2_Err.Legend	 y_{G} DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_2_Err.Title	#sigma y_{G} DCA_{z} C side Q>0
 OBJ: TNamed	dcaz_posC_2_Err.class	TPC Err FitGY DCAz CSide Pos
 OBJ: TNamed	dcaz_posC_chi2.AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	dcaz_posC_chi2.Description	TPC standard QA variables.  Class TPC Chi2 DCAz Pos
 OBJ: TNamed	dcaz_posC_chi2.Legend	 DCA_{z} Q>0
 OBJ: TNamed	dcaz_posC_chi2.Title	 #chi2 DCA_{z} Q>0
 OBJ: TNamed	dcaz_posC_chi2.class	TPC Chi2 DCAz Pos
 OBJ: TNamed	deltaPt.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPt.Description	TPC standard QA variables.  Class TPC Delta Pt
 OBJ: TNamed	deltaPt.Legend	 p_{T}
 OBJ: TNamed	deltaPt.Title	#Delta p_{T}
 OBJ: TNamed	deltaPt.class	TPC Delta Pt
 OBJ: TNamed	deltaPtA.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPtA.Description	TPC standard QA variables.  Class TPC Delta Pt ASide
 OBJ: TNamed	deltaPtA.Legend	 p_{T} A side
 OBJ: TNamed	deltaPtA.Title	#Delta p_{T} A side
 OBJ: TNamed	deltaPtA.class	TPC Delta Pt ASide
 OBJ: TNamed	deltaPtA_Err.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPtA_Err.Description	TPC standard QA variables.  Class TPC Delta Err Pt
 OBJ: TNamed	deltaPtA_Err.Legend	 p_{T}
 OBJ: TNamed	deltaPtA_Err.Title	#Delta#sigma p_{T}
 OBJ: TNamed	deltaPtA_Err.class	TPC Delta Err Pt
 OBJ: TNamed	deltaPtC.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPtC.Description	TPC standard QA variables.  Class TPC Delta Pt CSide
 OBJ: TNamed	deltaPtC.Legend	 p_{T} C side
 OBJ: TNamed	deltaPtC.Title	#Delta p_{T} C side
 OBJ: TNamed	deltaPtC.class	TPC Delta Pt CSide
 OBJ: TNamed	deltaPtC_Err.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPtC_Err.Description	TPC standard QA variables.  Class TPC Delta Err Pt
 OBJ: TNamed	deltaPtC_Err.Legend	 p_{T}
 OBJ: TNamed	deltaPtC_Err.Title	#Delta#sigma p_{T}
 OBJ: TNamed	deltaPtC_Err.class	TPC Delta Err Pt
 OBJ: TNamed	deltaPt_Err.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPt_Err.Description	TPC standard QA variables.  Class TPC Delta Err Pt
 OBJ: TNamed	deltaPt_Err.Legend	 p_{T}
 OBJ: TNamed	deltaPt_Err.Title	#Delta#sigma p_{T}
 OBJ: TNamed	deltaPt_Err.class	TPC Delta Err Pt
 OBJ: TNamed	deltaPtchi2.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPtchi2.Description	TPC standard QA variables.  Class TPC Delta Chi2 Pt
 OBJ: TNamed	deltaPtchi2.Legend	 p_{T}
 OBJ: TNamed	deltaPtchi2.Title	#Delta #chi2 p_{T}
 OBJ: TNamed	deltaPtchi2.class	TPC Delta Chi2 Pt
 OBJ: TNamed	deltaPtchi2A.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPtchi2A.Description	TPC standard QA variables.  Class TPC Delta Chi2 Pt ASide
 OBJ: TNamed	deltaPtchi2A.Legend	 p_{T} A side
 OBJ: TNamed	deltaPtchi2A.Title	#Delta #chi2 p_{T} A side
 OBJ: TNamed	deltaPtchi2A.class	TPC Delta Chi2 Pt ASide
 OBJ: TNamed	deltaPtchi2C.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	deltaPtchi2C.Description	TPC standard QA variables.  Class TPC Delta Chi2 Pt CSide
 OBJ: TNamed	deltaPtchi2C.Legend	 p_{T} C side
 OBJ: TNamed	deltaPtchi2C.Title	#Delta #chi2 p_{T} C side
 OBJ: TNamed	deltaPtchi2C.class	TPC Delta Chi2 Pt CSide
 OBJ: TNamed	duration.AxisTitle	
 OBJ: TNamed	duration.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	duration.Legend	
 OBJ: TNamed	duration.Title	
 OBJ: TNamed	duration.class	TPC
 OBJ: TNamed	electroMIPSeparation.AxisTitle	 dEdx(MIP/50)
 OBJ: TNamed	electroMIPSeparation.Description	TPC standard QA variables.  Class TPC dEdx
 OBJ: TNamed	electroMIPSeparation.Legend	 dEdx
 OBJ: TNamed	electroMIPSeparation.Title	 dEdx
 OBJ: TNamed	electroMIPSeparation.class	TPC dEdx
 OBJ: TNamed	entriesMult.AxisTitle	
 OBJ: TNamed	entriesMult.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	entriesMult.Legend	
 OBJ: TNamed	entriesMult.Title	
 OBJ: TNamed	entriesMult.class	TPC
 OBJ: TNamed	entriesVertX.AxisTitle	 x(cm)
 OBJ: TNamed	entriesVertX.Description	TPC standard QA variables.  Class TPC X
 OBJ: TNamed	entriesVertX.Legend	 x
 OBJ: TNamed	entriesVertX.Title	 x
 OBJ: TNamed	entriesVertX.class	TPC X
 OBJ: TNamed	entriesVertY.AxisTitle	 y(cm)
 OBJ: TNamed	entriesVertY.Description	TPC standard QA variables.  Class TPC Y
 OBJ: TNamed	entriesVertY.Legend	 y
 OBJ: TNamed	entriesVertY.Title	 y
 OBJ: TNamed	entriesVertY.class	TPC Y
 OBJ: TNamed	entriesVertZ.AxisTitle	 z(cm)
 OBJ: TNamed	entriesVertZ.Description	TPC standard QA variables.  Class TPC Z
 OBJ: TNamed	entriesVertZ.Legend	 z
 OBJ: TNamed	entriesVertZ.Title	 z
 OBJ: TNamed	entriesVertZ.class	TPC Z
 OBJ: TNamed	errorMultNeg.AxisTitle	
 OBJ: TNamed	errorMultNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	errorMultNeg.Legend	 Q<0
 OBJ: TNamed	errorMultNeg.Title	#sigma Q<0
 OBJ: TNamed	errorMultNeg.class	TPC Err Neg
 OBJ: TNamed	errorMultPos.AxisTitle	
 OBJ: TNamed	errorMultPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	errorMultPos.Legend	 Q>0
 OBJ: TNamed	errorMultPos.Title	#sigma Q>0
 OBJ: TNamed	errorMultPos.class	TPC Err Pos
 OBJ: TNamed	fitElectron..AxisTitle	 Electron
 OBJ: TNamed	fitElectron..Description	TPC standard QA variables.  Class TPC FitInfo[] Electron Class:TVectorT<float>
 OBJ: TNamed	fitElectron..Legend	 e-
 OBJ: TNamed	fitElectron..Title	fit[] e-
 OBJ: TNamed	fitElectron..class	TPC FitInfo[] Electron Class:TVectorT<float>
 OBJ: TNamed	fitMIP..AxisTitle	 dEdx(MIP/50)
 OBJ: TNamed	fitMIP..Description	TPC standard QA variables.  Class TPC FitInfo[] dEdx Class:TVectorT<float>
 OBJ: TNamed	fitMIP..Legend	 dEdx
 OBJ: TNamed	fitMIP..Title	fit[] dEdx
 OBJ: TNamed	fitMIP..class	TPC FitInfo[] dEdx Class:TVectorT<float>
 OBJ: TNamed	grNclPhiMedian..AxisTitle	 #phi Ncl(#)
 OBJ: TNamed	grNclPhiMedian..Description	TPC standard QA variables.  Class TPC Phi Ncl Class:TVectorT<double>
 OBJ: TNamed	grNclPhiMedian..Legend	 #phi Ncl
 OBJ: TNamed	grNclPhiMedian..Title	 #phi Ncl
 OBJ: TNamed	grNclPhiMedian..class	TPC Phi Ncl Class:TVectorT<double>
 OBJ: TNamed	grNclPhiNegA..AxisTitle	 #phi Ncl(#)
 OBJ: TNamed	grNclPhiNegA..Description	TPC standard QA variables.  Class TPC Phi Ncl ASide Class:TGraphErrors
 OBJ: TNamed	grNclPhiNegA..Legend	 #phi Ncl A side
 OBJ: TNamed	grNclPhiNegA..Title	 #phi Ncl A side
 OBJ: TNamed	grNclPhiNegA..class	TPC Phi Ncl ASide Class:TGraphErrors
 OBJ: TNamed	grNclPhiNegC..AxisTitle	 #phi Ncl(#)
 OBJ: TNamed	grNclPhiNegC..Description	TPC standard QA variables.  Class TPC Phi Ncl CSide Class:TGraphErrors
 OBJ: TNamed	grNclPhiNegC..Legend	 #phi Ncl C side
 OBJ: TNamed	grNclPhiNegC..Title	 #phi Ncl C side
 OBJ: TNamed	grNclPhiNegC..class	TPC Phi Ncl CSide Class:TGraphErrors
 OBJ: TNamed	grNclPhiPosA..AxisTitle	 #phi Ncl(#)
 OBJ: TNamed	grNclPhiPosA..Description	TPC standard QA variables.  Class TPC Phi Ncl ASide Class:TGraphErrors
 OBJ: TNamed	grNclPhiPosA..Legend	 #phi Ncl A side
 OBJ: TNamed	grNclPhiPosA..Title	 #phi Ncl A side
 OBJ: TNamed	grNclPhiPosA..class	TPC Phi Ncl ASide Class:TGraphErrors
 OBJ: TNamed	grNclPhiPosC..AxisTitle	 #phi Ncl(#)
 OBJ: TNamed	grNclPhiPosC..Description	TPC standard QA variables.  Class TPC Phi Ncl CSide Class:TGraphErrors
 OBJ: TNamed	grNclPhiPosC..Legend	 #phi Ncl C side
 OBJ: TNamed	grNclPhiPosC..Title	 #phi Ncl C side
 OBJ: TNamed	grNclPhiPosC..class	TPC Phi Ncl CSide Class:TGraphErrors
 OBJ: TNamed	grNclSectorNegA..AxisTitle	 Ncl(#)
 OBJ: TNamed	grNclSectorNegA..Description	TPC standard QA variables.  Class TPC Ncl ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNclSectorNegA..Legend	 Ncl A side Sector
 OBJ: TNamed	grNclSectorNegA..Title	 Ncl A side Sector
 OBJ: TNamed	grNclSectorNegA..class	TPC Ncl ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNclSectorNegC..AxisTitle	 Ncl(#)
 OBJ: TNamed	grNclSectorNegC..Description	TPC standard QA variables.  Class TPC Ncl CSide Sector Class:TGraphErrors
 OBJ: TNamed	grNclSectorNegC..Legend	 Ncl C side Sector
 OBJ: TNamed	grNclSectorNegC..Title	 Ncl C side Sector
 OBJ: TNamed	grNclSectorNegC..class	TPC Ncl CSide Sector Class:TGraphErrors
 OBJ: TNamed	grNclSectorPosA..AxisTitle	 Ncl(#)
 OBJ: TNamed	grNclSectorPosA..Description	TPC standard QA variables.  Class TPC Ncl ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNclSectorPosA..Legend	 Ncl A side Sector
 OBJ: TNamed	grNclSectorPosA..Title	 Ncl A side Sector
 OBJ: TNamed	grNclSectorPosA..class	TPC Ncl ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNclSectorPosC..AxisTitle	 Ncl(#)
 OBJ: TNamed	grNclSectorPosC..Description	TPC standard QA variables.  Class TPC Ncl CSide Sector Class:TGraphErrors
 OBJ: TNamed	grNclSectorPosC..Legend	 Ncl C side Sector
 OBJ: TNamed	grNclSectorPosC..Title	 Ncl C side Sector
 OBJ: TNamed	grNclSectorPosC..class	TPC Ncl CSide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrPhiNegA..AxisTitle	 #phi
 OBJ: TNamed	grNtrPhiNegA..Description	TPC standard QA variables.  Class TPC Phi ASide Class:TGraphErrors
 OBJ: TNamed	grNtrPhiNegA..Legend	 #phi A side
 OBJ: TNamed	grNtrPhiNegA..Title	 #phi A side
 OBJ: TNamed	grNtrPhiNegA..class	TPC Phi ASide Class:TGraphErrors
 OBJ: TNamed	grNtrPhiNegC..AxisTitle	 #phi
 OBJ: TNamed	grNtrPhiNegC..Description	TPC standard QA variables.  Class TPC Phi CSide Class:TGraphErrors
 OBJ: TNamed	grNtrPhiNegC..Legend	 #phi C side
 OBJ: TNamed	grNtrPhiNegC..Title	 #phi C side
 OBJ: TNamed	grNtrPhiNegC..class	TPC Phi CSide Class:TGraphErrors
 OBJ: TNamed	grNtrPhiPosA..AxisTitle	 #phi
 OBJ: TNamed	grNtrPhiPosA..Description	TPC standard QA variables.  Class TPC Phi ASide Class:TGraphErrors
 OBJ: TNamed	grNtrPhiPosA..Legend	 #phi A side
 OBJ: TNamed	grNtrPhiPosA..Title	 #phi A side
 OBJ: TNamed	grNtrPhiPosA..class	TPC Phi ASide Class:TGraphErrors
 OBJ: TNamed	grNtrPhiPosC..AxisTitle	 #phi
 OBJ: TNamed	grNtrPhiPosC..Description	TPC standard QA variables.  Class TPC Phi CSide Class:TGraphErrors
 OBJ: TNamed	grNtrPhiPosC..Legend	 #phi C side
 OBJ: TNamed	grNtrPhiPosC..Title	 #phi C side
 OBJ: TNamed	grNtrPhiPosC..class	TPC Phi CSide Class:TGraphErrors
 OBJ: TNamed	grNtrSectorNegA..AxisTitle	
 OBJ: TNamed	grNtrSectorNegA..Description	TPC standard QA variables.  Class TPC ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrSectorNegA..Legend	 A side Sector
 OBJ: TNamed	grNtrSectorNegA..Title	 A side Sector
 OBJ: TNamed	grNtrSectorNegA..class	TPC ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrSectorNegC..AxisTitle	
 OBJ: TNamed	grNtrSectorNegC..Description	TPC standard QA variables.  Class TPC CSide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrSectorNegC..Legend	 C side Sector
 OBJ: TNamed	grNtrSectorNegC..Title	 C side Sector
 OBJ: TNamed	grNtrSectorNegC..class	TPC CSide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrSectorPosA..AxisTitle	
 OBJ: TNamed	grNtrSectorPosA..Description	TPC standard QA variables.  Class TPC ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrSectorPosA..Legend	 A side Sector
 OBJ: TNamed	grNtrSectorPosA..Title	 A side Sector
 OBJ: TNamed	grNtrSectorPosA..class	TPC ASide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrSectorPosC..AxisTitle	
 OBJ: TNamed	grNtrSectorPosC..Description	TPC standard QA variables.  Class TPC CSide Sector Class:TGraphErrors
 OBJ: TNamed	grNtrSectorPosC..Legend	 C side Sector
 OBJ: TNamed	grNtrSectorPosC..Title	 C side Sector
 OBJ: TNamed	grNtrSectorPosC..class	TPC CSide Sector Class:TGraphErrors
 OBJ: TNamed	grOCDBStatus..AxisTitle	
 OBJ: TNamed	grOCDBStatus..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grOCDBStatus..Legend	
 OBJ: TNamed	grOCDBStatus..Title	
 OBJ: TNamed	grOCDBStatus..class	TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVMedian..AxisTitle	
 OBJ: TNamed	grROCHVMedian..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVMedian..Legend	
 OBJ: TNamed	grROCHVMedian..Title	
 OBJ: TNamed	grROCHVMedian..class	TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVNominal..AxisTitle	
 OBJ: TNamed	grROCHVNominal..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVNominal..Legend	
 OBJ: TNamed	grROCHVNominal..Title	
 OBJ: TNamed	grROCHVNominal..class	TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVStatus..AxisTitle	
 OBJ: TNamed	grROCHVStatus..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVStatus..Legend	
 OBJ: TNamed	grROCHVStatus..Title	
 OBJ: TNamed	grROCHVStatus..class	TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVTimeFraction..AxisTitle	
 OBJ: TNamed	grROCHVTimeFraction..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grROCHVTimeFraction..Legend	
 OBJ: TNamed	grROCHVTimeFraction..Title	
 OBJ: TNamed	grROCHVTimeFraction..class	TPC Class:TGraphErrors
 OBJ: TNamed	grRawAboveThr..AxisTitle	
 OBJ: TNamed	grRawAboveThr..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grRawAboveThr..Legend	
 OBJ: TNamed	grRawAboveThr..Title	
 OBJ: TNamed	grRawAboveThr..class	TPC Class:TGraphErrors
 OBJ: TNamed	grRawLocalMax..AxisTitle	
 OBJ: TNamed	grRawLocalMax..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grRawLocalMax..Legend	
 OBJ: TNamed	grRawLocalMax..Title	
 OBJ: TNamed	grRawLocalMax..class	TPC Class:TGraphErrors
 OBJ: TNamed	grRawQMax..AxisTitle	
 OBJ: TNamed	grRawQMax..Description	TPC standard QA variables.  Class TPC Class:TGraphErrors
 OBJ: TNamed	grRawQMax..Legend	
 OBJ: TNamed	grRawQMax..Title	
 OBJ: TNamed	grRawQMax..class	TPC Class:TGraphErrors
 OBJ: TNamed	grdcar_neg_ASidePhi..AxisTitle	 #phi DCA_{xy}(cm)
 OBJ: TNamed	grdcar_neg_ASidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAr ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcar_neg_ASidePhi..Legend	 #phi DCA_{xy} A side Q<0
 OBJ: TNamed	grdcar_neg_ASidePhi..Title	 #phi DCA_{xy} A side Q<0
 OBJ: TNamed	grdcar_neg_ASidePhi..class	TPC Phi DCAr ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcar_neg_CSidePhi..AxisTitle	 #phi DCA_{xy}(cm)
 OBJ: TNamed	grdcar_neg_CSidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAr CSide Neg Class:TGraphErrors
 OBJ: TNamed	grdcar_neg_CSidePhi..Legend	 #phi DCA_{xy} C side Q<0
 OBJ: TNamed	grdcar_neg_CSidePhi..Title	 #phi DCA_{xy} C side Q<0
 OBJ: TNamed	grdcar_neg_CSidePhi..class	TPC Phi DCAr CSide Neg Class:TGraphErrors
 OBJ: TNamed	grdcar_neg_Eta..AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	grdcar_neg_Eta..Description	TPC standard QA variables.  Class TPC DCAr ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcar_neg_Eta..Legend	 DCA_{xy} A side Q<0
 OBJ: TNamed	grdcar_neg_Eta..Title	 DCA_{xy} A side Q<0
 OBJ: TNamed	grdcar_neg_Eta..class	TPC DCAr ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcar_pos_ASidePhi..AxisTitle	 #phi DCA_{xy}(cm)
 OBJ: TNamed	grdcar_pos_ASidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAr ASide Pos Class:TGraphErrors
 OBJ: TNamed	grdcar_pos_ASidePhi..Legend	 #phi DCA_{xy} A side Q>0
 OBJ: TNamed	grdcar_pos_ASidePhi..Title	 #phi DCA_{xy} A side Q>0
 OBJ: TNamed	grdcar_pos_ASidePhi..class	TPC Phi DCAr ASide Pos Class:TGraphErrors
 OBJ: TNamed	grdcar_pos_CSidePhi..AxisTitle	 #phi DCA_{xy}(cm)
 OBJ: TNamed	grdcar_pos_CSidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAr CSide Pos Class:TGraphErrors
 OBJ: TNamed	grdcar_pos_CSidePhi..Legend	 #phi DCA_{xy} C side Q>0
 OBJ: TNamed	grdcar_pos_CSidePhi..Title	 #phi DCA_{xy} C side Q>0
 OBJ: TNamed	grdcar_pos_CSidePhi..class	TPC Phi DCAr CSide Pos Class:TGraphErrors
 OBJ: TNamed	grdcar_pos_Eta..AxisTitle	 DCA_{xy}(cm)
 OBJ: TNamed	grdcar_pos_Eta..Description	TPC standard QA variables.  Class TPC DCAr ASide Pos Class:TGraphErrors
 OBJ: TNamed	grdcar_pos_Eta..Legend	 DCA_{xy} A side Q>0
 OBJ: TNamed	grdcar_pos_Eta..Title	 DCA_{xy} A side Q>0
 OBJ: TNamed	grdcar_pos_Eta..class	TPC DCAr ASide Pos Class:TGraphErrors
 OBJ: TNamed	grdcaz_neg_ASidePhi..AxisTitle	 #phi DCA_{z}(cm)
 OBJ: TNamed	grdcaz_neg_ASidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAz ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcaz_neg_ASidePhi..Legend	 #phi DCA_{z} A side Q<0
 OBJ: TNamed	grdcaz_neg_ASidePhi..Title	 #phi DCA_{z} A side Q<0
 OBJ: TNamed	grdcaz_neg_ASidePhi..class	TPC Phi DCAz ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcaz_neg_CSidePhi..AxisTitle	 #phi DCA_{z}(cm)
 OBJ: TNamed	grdcaz_neg_CSidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAz CSide Neg Class:TGraphErrors
 OBJ: TNamed	grdcaz_neg_CSidePhi..Legend	 #phi DCA_{z} C side Q<0
 OBJ: TNamed	grdcaz_neg_CSidePhi..Title	 #phi DCA_{z} C side Q<0
 OBJ: TNamed	grdcaz_neg_CSidePhi..class	TPC Phi DCAz CSide Neg Class:TGraphErrors
 OBJ: TNamed	grdcaz_neg_Eta..AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	grdcaz_neg_Eta..Description	TPC standard QA variables.  Class TPC DCAz ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcaz_neg_Eta..Legend	 DCA_{z} A side Q<0
 OBJ: TNamed	grdcaz_neg_Eta..Title	 DCA_{z} A side Q<0
 OBJ: TNamed	grdcaz_neg_Eta..class	TPC DCAz ASide Neg Class:TGraphErrors
 OBJ: TNamed	grdcaz_pos_ASidePhi..AxisTitle	 #phi DCA_{z}(cm)
 OBJ: TNamed	grdcaz_pos_ASidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAz ASide Pos Class:TGraphErrors
 OBJ: TNamed	grdcaz_pos_ASidePhi..Legend	 #phi DCA_{z} A side Q>0
 OBJ: TNamed	grdcaz_pos_ASidePhi..Title	 #phi DCA_{z} A side Q>0
 OBJ: TNamed	grdcaz_pos_ASidePhi..class	TPC Phi DCAz ASide Pos Class:TGraphErrors
 OBJ: TNamed	grdcaz_pos_CSidePhi..AxisTitle	 #phi DCA_{z}(cm)
 OBJ: TNamed	grdcaz_pos_CSidePhi..Description	TPC standard QA variables.  Class TPC Phi DCAz CSide Pos Class:TGraphErrors
 OBJ: TNamed	grdcaz_pos_CSidePhi..Legend	 #phi DCA_{z} C side Q>0
 OBJ: TNamed	grdcaz_pos_CSidePhi..Title	 #phi DCA_{z} C side Q>0
 OBJ: TNamed	grdcaz_pos_CSidePhi..class	TPC Phi DCAz CSide Pos Class:TGraphErrors
 OBJ: TNamed	grdcaz_pos_Eta..AxisTitle	 DCA_{z}(cm)
 OBJ: TNamed	grdcaz_pos_Eta..Description	TPC standard QA variables.  Class TPC DCAz ASide Pos Class:TGraphErrors
 OBJ: TNamed	grdcaz_pos_Eta..Legend	 DCA_{z} A side Q>0
 OBJ: TNamed	grdcaz_pos_Eta..Title	 DCA_{z} A side Q>0
 OBJ: TNamed	grdcaz_pos_Eta..class	TPC DCAz ASide Pos Class:TGraphErrors
 OBJ: TNamed	hasRawQA.AxisTitle	
 OBJ: TNamed	hasRawQA.Description	TPC standard QA variables.  Class TPC ASide
 OBJ: TNamed	hasRawQA.Legend	 A side
 OBJ: TNamed	hasRawQA.Title	 A side
 OBJ: TNamed	hasRawQA.class	TPC ASide
 OBJ: TNamed	highPtANeg.AxisTitle	
 OBJ: TNamed	highPtANeg.Description	TPC standard QA variables.  Class TPC Neg HighPt
 OBJ: TNamed	highPtANeg.Legend	 Q<0 high p_{T}
 OBJ: TNamed	highPtANeg.Title	 Q<0 high p_{T}
 OBJ: TNamed	highPtANeg.class	TPC Neg HighPt
 OBJ: TNamed	highPtAPos.AxisTitle	
 OBJ: TNamed	highPtAPos.Description	TPC standard QA variables.  Class TPC Pos HighPt
 OBJ: TNamed	highPtAPos.Legend	 Q>0 high p_{T}
 OBJ: TNamed	highPtAPos.Title	 Q>0 high p_{T}
 OBJ: TNamed	highPtAPos.class	TPC Pos HighPt
 OBJ: TNamed	highPtCNeg.AxisTitle	
 OBJ: TNamed	highPtCNeg.Description	TPC standard QA variables.  Class TPC Neg HighPt
 OBJ: TNamed	highPtCNeg.Legend	 Q<0 high p_{T}
 OBJ: TNamed	highPtCNeg.Title	 Q<0 high p_{T}
 OBJ: TNamed	highPtCNeg.class	TPC Neg HighPt
 OBJ: TNamed	highPtCPos.AxisTitle	
 OBJ: TNamed	highPtCPos.Description	TPC standard QA variables.  Class TPC Pos HighPt
 OBJ: TNamed	highPtCPos.Legend	 Q>0 high p_{T}
 OBJ: TNamed	highPtCPos.Title	 Q>0 high p_{T}
 OBJ: TNamed	highPtCPos.class	TPC Pos HighPt
 OBJ: TNamed	htmlLink.html	https://alice-logbook.cern.ch/logbook/date_online.php?p_cont=rund&p_run=%d<run>
 OBJ: TNamed	infoMult..AxisTitle	
 OBJ: TNamed	infoMult..Description	TPC standard QA variables.  Class TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoMult..Legend	
 OBJ: TNamed	infoMult..Title	stat[]
 OBJ: TNamed	infoMult..class	TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoMultNeg..AxisTitle	
 OBJ: TNamed	infoMultNeg..Description	TPC standard QA variables.  Class TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoMultNeg..Legend	
 OBJ: TNamed	infoMultNeg..Title	stat[]
 OBJ: TNamed	infoMultNeg..class	TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoMultPos..AxisTitle	
 OBJ: TNamed	infoMultPos..Description	TPC standard QA variables.  Class TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoMultPos..Legend	
 OBJ: TNamed	infoMultPos..Title	stat[]
 OBJ: TNamed	infoMultPos..class	TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoTPCchi2..AxisTitle	
 OBJ: TNamed	infoTPCchi2..Description	TPC standard QA variables.  Class TPC Chi2 StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoTPCchi2..Legend	
 OBJ: TNamed	infoTPCchi2..Title	 #chi2stat[]
 OBJ: TNamed	infoTPCchi2..class	TPC Chi2 StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoTPCncl..AxisTitle	 Ncl(#)
 OBJ: TNamed	infoTPCncl..Description	TPC standard QA variables.  Class TPC StatInfo[] Ncl Class:TVectorT<float>
 OBJ: TNamed	infoTPCncl..Legend	 Ncl
 OBJ: TNamed	infoTPCncl..Title	stat[] Ncl
 OBJ: TNamed	infoTPCncl..class	TPC StatInfo[] Ncl Class:TVectorT<float>
 OBJ: TNamed	infoTPCnclF..AxisTitle	 Ncl(#)
 OBJ: TNamed	infoTPCnclF..Description	TPC standard QA variables.  Class TPC StatInfo[] Ncl Class:TVectorT<float>
 OBJ: TNamed	infoTPCnclF..Legend	 Ncl
 OBJ: TNamed	infoTPCnclF..Title	stat[] Ncl
 OBJ: TNamed	infoTPCnclF..class	TPC StatInfo[] Ncl Class:TVectorT<float>
 OBJ: TNamed	infoVertX..AxisTitle	
 OBJ: TNamed	infoVertX..Description	TPC standard QA variables.  Class TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoVertX..Legend	
 OBJ: TNamed	infoVertX..Title	stat[]
 OBJ: TNamed	infoVertX..class	TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoVertY..AxisTitle	
 OBJ: TNamed	infoVertY..Description	TPC standard QA variables.  Class TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoVertY..Legend	
 OBJ: TNamed	infoVertY..Title	stat[]
 OBJ: TNamed	infoVertY..class	TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoVertZ..AxisTitle	
 OBJ: TNamed	infoVertZ..Description	TPC standard QA variables.  Class TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infoVertZ..Legend	
 OBJ: TNamed	infoVertZ..Title	stat[]
 OBJ: TNamed	infoVertZ..class	TPC StatInfo[] Class:TVectorT<float>
 OBJ: TNamed	infolambdaPull..AxisTitle	 #Theta
 OBJ: TNamed	infolambdaPull..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Theta Class:TVectorT<float>
 OBJ: TNamed	infolambdaPull..Legend	 #Theta
 OBJ: TNamed	infolambdaPull..Title	pullstat[] #Theta
 OBJ: TNamed	infolambdaPull..class	TPC Pull StatInfo[] Theta Class:TVectorT<float>
 OBJ: TNamed	infolambdaPullHighPt..AxisTitle	 #Theta
 OBJ: TNamed	infolambdaPullHighPt..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Theta HighPt Class:TVectorT<float>
 OBJ: TNamed	infolambdaPullHighPt..Legend	 #Theta high p_{T}
 OBJ: TNamed	infolambdaPullHighPt..Title	pullstat[] #Theta high p_{T}
 OBJ: TNamed	infolambdaPullHighPt..class	TPC Pull StatInfo[] Theta HighPt Class:TVectorT<float>
 OBJ: TNamed	infophiPull..AxisTitle	 #phi
 OBJ: TNamed	infophiPull..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Phi Class:TVectorT<float>
 OBJ: TNamed	infophiPull..Legend	 #phi
 OBJ: TNamed	infophiPull..Title	pullstat[] #phi
 OBJ: TNamed	infophiPull..class	TPC Pull StatInfo[] Phi Class:TVectorT<float>
 OBJ: TNamed	infophiPullHighPt..AxisTitle	 #phi
 OBJ: TNamed	infophiPullHighPt..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Phi HighPt Class:TVectorT<float>
 OBJ: TNamed	infophiPullHighPt..Legend	 #phi high p_{T}
 OBJ: TNamed	infophiPullHighPt..Title	pullstat[] #phi high p_{T}
 OBJ: TNamed	infophiPullHighPt..class	TPC Pull StatInfo[] Phi HighPt Class:TVectorT<float>
 OBJ: TNamed	infoptPull..AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	infoptPull..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Pt Class:TVectorT<float>
 OBJ: TNamed	infoptPull..Legend	 p_{T}
 OBJ: TNamed	infoptPull..Title	pullstat[] p_{T}
 OBJ: TNamed	infoptPull..class	TPC Pull StatInfo[] Pt Class:TVectorT<float>
 OBJ: TNamed	infoptPullHighPt..AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	infoptPullHighPt..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Pt HighPt Class:TVectorT<float>
 OBJ: TNamed	infoptPullHighPt..Legend	 p_{T} high p_{T}
 OBJ: TNamed	infoptPullHighPt..Title	pullstat[] p_{T} high p_{T}
 OBJ: TNamed	infoptPullHighPt..class	TPC Pull StatInfo[] Pt HighPt Class:TVectorT<float>
 OBJ: TNamed	infotpcConstrainPhiA..AxisTitle	 #phi
 OBJ: TNamed	infotpcConstrainPhiA..Description	TPC standard QA variables.  Class TPC Constrain StatInfo[] Phi ASide Class:TVectorT<float>
 OBJ: TNamed	infotpcConstrainPhiA..Legend	 #phi A side
 OBJ: TNamed	infotpcConstrainPhiA..Title	Constrainstat[] #phi A side
 OBJ: TNamed	infotpcConstrainPhiA..class	TPC Constrain StatInfo[] Phi ASide Class:TVectorT<float>
 OBJ: TNamed	infotpcConstrainPhiC..AxisTitle	 #phi
 OBJ: TNamed	infotpcConstrainPhiC..Description	TPC standard QA variables.  Class TPC Constrain StatInfo[] Phi CSide Class:TVectorT<float>
 OBJ: TNamed	infotpcConstrainPhiC..Legend	 #phi C side
 OBJ: TNamed	infotpcConstrainPhiC..Title	Constrainstat[] #phi C side
 OBJ: TNamed	infotpcConstrainPhiC..class	TPC Constrain StatInfo[] Phi CSide Class:TVectorT<float>
 OBJ: TNamed	infoyPull..AxisTitle	 y(cm)
 OBJ: TNamed	infoyPull..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Y Class:TVectorT<float>
 OBJ: TNamed	infoyPull..Legend	 y
 OBJ: TNamed	infoyPull..Title	pullstat[] y
 OBJ: TNamed	infoyPull..class	TPC Pull StatInfo[] Y Class:TVectorT<float>
 OBJ: TNamed	infoyPullHighPt..AxisTitle	 y(cm)
 OBJ: TNamed	infoyPullHighPt..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Y HighPt Class:TVectorT<float>
 OBJ: TNamed	infoyPullHighPt..Legend	 y high p_{T}
 OBJ: TNamed	infoyPullHighPt..Title	pullstat[] y high p_{T}
 OBJ: TNamed	infoyPullHighPt..class	TPC Pull StatInfo[] Y HighPt Class:TVectorT<float>
 OBJ: TNamed	infozPull..AxisTitle	 z(cm)
 OBJ: TNamed	infozPull..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Z Class:TVectorT<float>
 OBJ: TNamed	infozPull..Legend	 z
 OBJ: TNamed	infozPull..Title	pullstat[] z
 OBJ: TNamed	infozPull..class	TPC Pull StatInfo[] Z Class:TVectorT<float>
 OBJ: TNamed	infozPullHighPt..AxisTitle	 z(cm)
 OBJ: TNamed	infozPullHighPt..Description	TPC standard QA variables.  Class TPC Pull StatInfo[] Z HighPt Class:TVectorT<float>
 OBJ: TNamed	infozPullHighPt..Legend	 z high p_{T}
 OBJ: TNamed	infozPullHighPt..Title	pullstat[] z high p_{T}
 OBJ: TNamed	infozPullHighPt..class	TPC Pull StatInfo[] Z HighPt Class:TVectorT<float>
 OBJ: TNamed	iroc_A_side.AxisTitle	
 OBJ: TNamed	iroc_A_side.Description	TPC standard QA variables.  Class TPC ASide IROC
 OBJ: TNamed	iroc_A_side.Legend	 A side IROC
 OBJ: TNamed	iroc_A_side.Title	 A side IROC
 OBJ: TNamed	iroc_A_side.class	TPC ASide IROC
 OBJ: TNamed	iroc_C_side.AxisTitle	
 OBJ: TNamed	iroc_C_side.Description	TPC standard QA variables.  Class TPC CSide IROC
 OBJ: TNamed	iroc_C_side.Legend	 C side IROC
 OBJ: TNamed	iroc_C_side.Title	 C side IROC
 OBJ: TNamed	iroc_C_side.class	TPC CSide IROC
 OBJ: TNamed	lambdaPull.AxisTitle	 #Theta
 OBJ: TNamed	lambdaPull.Description	TPC standard QA variables.  Class TPC Pull Theta
 OBJ: TNamed	lambdaPull.Legend	 #Theta
 OBJ: TNamed	lambdaPull.Title	pull #Theta
 OBJ: TNamed	lambdaPull.class	TPC Pull Theta
 OBJ: TNamed	lambdaPullHighPt.AxisTitle	 #Theta
 OBJ: TNamed	lambdaPullHighPt.Description	TPC standard QA variables.  Class TPC Pull Theta HighPt
 OBJ: TNamed	lambdaPullHighPt.Legend	 #Theta high p_{T}
 OBJ: TNamed	lambdaPullHighPt.Title	pull #Theta high p_{T}
 OBJ: TNamed	lambdaPullHighPt.class	TPC Pull Theta HighPt
 OBJ: TNamed	meanMIP.AxisTitle	 dEdx(MIP/50)
 OBJ: TNamed	meanMIP.Description	TPC standard QA variables.  Class TPC Mean dEdx
 OBJ: TNamed	meanMIP.Legend	 dEdx
 OBJ: TNamed	meanMIP.Title	mean dEdx
 OBJ: TNamed	meanMIP.class	TPC Mean dEdx
 OBJ: TNamed	meanMIPele.AxisTitle	 dEdx(MIP/50) Electron
 OBJ: TNamed	meanMIPele.Description	TPC standard QA variables.  Class TPC Mean dEdx Electron
 OBJ: TNamed	meanMIPele.Legend	 dEdx e-
 OBJ: TNamed	meanMIPele.Title	mean dEdx e-
 OBJ: TNamed	meanMIPele.class	TPC Mean dEdx Electron
 OBJ: TNamed	meanMIPvsSector..AxisTitle	 dEdx(MIP/50)
 OBJ: TNamed	meanMIPvsSector..Description	TPC standard QA variables.  Class TPC Mean dEdx Sector Class:TVectorT<double>
 OBJ: TNamed	meanMIPvsSector..Legend	 dEdx Sector
 OBJ: TNamed	meanMIPvsSector..Title	mean dEdx Sector
 OBJ: TNamed	meanMIPvsSector..class	TPC Mean dEdx Sector Class:TVectorT<double>
 OBJ: TNamed	meanMult.AxisTitle	
 OBJ: TNamed	meanMult.Description	TPC standard QA variables.  Class TPC Mean
 OBJ: TNamed	meanMult.Legend	
 OBJ: TNamed	meanMult.Title	mean
 OBJ: TNamed	meanMult.class	TPC Mean
 OBJ: TNamed	meanMultNeg.AxisTitle	
 OBJ: TNamed	meanMultNeg.Description	TPC standard QA variables.  Class TPC Mean Neg
 OBJ: TNamed	meanMultNeg.Legend	 Q<0
 OBJ: TNamed	meanMultNeg.Title	mean Q<0
 OBJ: TNamed	meanMultNeg.class	TPC Mean Neg
 OBJ: TNamed	meanMultPos.AxisTitle	
 OBJ: TNamed	meanMultPos.Description	TPC standard QA variables.  Class TPC Mean Pos
 OBJ: TNamed	meanMultPos.Legend	 Q>0
 OBJ: TNamed	meanMultPos.Title	mean Q>0
 OBJ: TNamed	meanMultPos.class	TPC Mean Pos
 OBJ: TNamed	meanPtANeg.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	meanPtANeg.Description	TPC standard QA variables.  Class TPC Mean Pt Neg
 OBJ: TNamed	meanPtANeg.Legend	 p_{T} Q<0
 OBJ: TNamed	meanPtANeg.Title	mean p_{T} Q<0
 OBJ: TNamed	meanPtANeg.class	TPC Mean Pt Neg
 OBJ: TNamed	meanPtAPos.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	meanPtAPos.Description	TPC standard QA variables.  Class TPC Mean Pt Pos
 OBJ: TNamed	meanPtAPos.Legend	 p_{T} Q>0
 OBJ: TNamed	meanPtAPos.Title	mean p_{T} Q>0
 OBJ: TNamed	meanPtAPos.class	TPC Mean Pt Pos
 OBJ: TNamed	meanPtCNeg.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	meanPtCNeg.Description	TPC standard QA variables.  Class TPC Mean Pt Neg
 OBJ: TNamed	meanPtCNeg.Legend	 p_{T} Q<0
 OBJ: TNamed	meanPtCNeg.Title	mean p_{T} Q<0
 OBJ: TNamed	meanPtCNeg.class	TPC Mean Pt Neg
 OBJ: TNamed	meanPtCPos.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	meanPtCPos.Description	TPC standard QA variables.  Class TPC Mean Pt Pos
 OBJ: TNamed	meanPtCPos.Legend	 p_{T} Q>0
 OBJ: TNamed	meanPtCPos.Title	mean p_{T} Q>0
 OBJ: TNamed	meanPtCPos.class	TPC Mean Pt Pos
 OBJ: TNamed	meanTPCChi2.AxisTitle	
 OBJ: TNamed	meanTPCChi2.Description	TPC standard QA variables.  Class TPC Mean Chi2
 OBJ: TNamed	meanTPCChi2.Legend	
 OBJ: TNamed	meanTPCChi2.Title	mean #chi2
 OBJ: TNamed	meanTPCChi2.class	TPC Mean Chi2
 OBJ: TNamed	meanTPCncl.AxisTitle	 Ncl(#)
 OBJ: TNamed	meanTPCncl.Description	TPC standard QA variables.  Class TPC Mean Ncl
 OBJ: TNamed	meanTPCncl.Legend	 Ncl
 OBJ: TNamed	meanTPCncl.Title	mean Ncl
 OBJ: TNamed	meanTPCncl.class	TPC Mean Ncl
 OBJ: TNamed	meanTPCnclF.AxisTitle	 Ncl(#)
 OBJ: TNamed	meanTPCnclF.Description	TPC standard QA variables.  Class TPC Mean Ncl
 OBJ: TNamed	meanTPCnclF.Legend	 Ncl
 OBJ: TNamed	meanTPCnclF.Title	mean Ncl
 OBJ: TNamed	meanTPCnclF.class	TPC Mean Ncl
 OBJ: TNamed	meanVertX.AxisTitle	 x(cm)
 OBJ: TNamed	meanVertX.Description	TPC standard QA variables.  Class TPC Mean X
 OBJ: TNamed	meanVertX.Legend	 x
 OBJ: TNamed	meanVertX.Title	mean x
 OBJ: TNamed	meanVertX.class	TPC Mean X
 OBJ: TNamed	meanVertY.AxisTitle	 y(cm)
 OBJ: TNamed	meanVertY.Description	TPC standard QA variables.  Class TPC Mean Y
 OBJ: TNamed	meanVertY.Legend	 y
 OBJ: TNamed	meanVertY.Title	mean y
 OBJ: TNamed	meanVertY.class	TPC Mean Y
 OBJ: TNamed	meanVertZ.AxisTitle	 z(cm)
 OBJ: TNamed	meanVertZ.Description	TPC standard QA variables.  Class TPC Mean Z
 OBJ: TNamed	meanVertZ.Legend	 z
 OBJ: TNamed	meanVertZ.Title	mean z
 OBJ: TNamed	meanVertZ.class	TPC Mean Z
 OBJ: TNamed	mediumPtANeg.AxisTitle	
 OBJ: TNamed	mediumPtANeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	mediumPtANeg.Legend	 Q<0
 OBJ: TNamed	mediumPtANeg.Title	 Q<0
 OBJ: TNamed	mediumPtANeg.class	TPC Neg
 OBJ: TNamed	mediumPtAPos.AxisTitle	
 OBJ: TNamed	mediumPtAPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	mediumPtAPos.Legend	 Q>0
 OBJ: TNamed	mediumPtAPos.Title	 Q>0
 OBJ: TNamed	mediumPtAPos.class	TPC Pos
 OBJ: TNamed	mediumPtCNeg.AxisTitle	
 OBJ: TNamed	mediumPtCNeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	mediumPtCNeg.Legend	 Q<0
 OBJ: TNamed	mediumPtCNeg.Title	 Q<0
 OBJ: TNamed	mediumPtCNeg.class	TPC Neg
 OBJ: TNamed	mediumPtCPos.AxisTitle	
 OBJ: TNamed	mediumPtCPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	mediumPtCPos.Legend	 Q>0
 OBJ: TNamed	mediumPtCPos.Title	 Q>0
 OBJ: TNamed	mediumPtCPos.class	TPC Pos
 OBJ: TNamed	offsetdRA.AxisTitle	
 OBJ: TNamed	offsetdRA.Description	TPC standard QA variables.  Class TPC ASide
 OBJ: TNamed	offsetdRA.Legend	 A side
 OBJ: TNamed	offsetdRA.Title	 A side
 OBJ: TNamed	offsetdRA.class	TPC ASide
 OBJ: TNamed	offsetdRAErr.AxisTitle	
 OBJ: TNamed	offsetdRAErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	offsetdRAErr.Legend	
 OBJ: TNamed	offsetdRAErr.Title	#sigma
 OBJ: TNamed	offsetdRAErr.class	TPC Err
 OBJ: TNamed	offsetdRAErrNeg.AxisTitle	
 OBJ: TNamed	offsetdRAErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	offsetdRAErrNeg.Legend	 Q<0
 OBJ: TNamed	offsetdRAErrNeg.Title	#sigma Q<0
 OBJ: TNamed	offsetdRAErrNeg.class	TPC Err Neg
 OBJ: TNamed	offsetdRAErrPos.AxisTitle	
 OBJ: TNamed	offsetdRAErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	offsetdRAErrPos.Legend	 Q>0
 OBJ: TNamed	offsetdRAErrPos.Title	#sigma Q>0
 OBJ: TNamed	offsetdRAErrPos.class	TPC Err Pos
 OBJ: TNamed	offsetdRANeg.AxisTitle	
 OBJ: TNamed	offsetdRANeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	offsetdRANeg.Legend	 Q<0
 OBJ: TNamed	offsetdRANeg.Title	 Q<0
 OBJ: TNamed	offsetdRANeg.class	TPC Neg
 OBJ: TNamed	offsetdRAPos.AxisTitle	
 OBJ: TNamed	offsetdRAPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	offsetdRAPos.Legend	 Q>0
 OBJ: TNamed	offsetdRAPos.Title	 Q>0
 OBJ: TNamed	offsetdRAPos.class	TPC Pos
 OBJ: TNamed	offsetdRAchi2.AxisTitle	
 OBJ: TNamed	offsetdRAchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	offsetdRAchi2.Legend	
 OBJ: TNamed	offsetdRAchi2.Title	 #chi2
 OBJ: TNamed	offsetdRAchi2.class	TPC Chi2
 OBJ: TNamed	offsetdRAchi2Neg.AxisTitle	
 OBJ: TNamed	offsetdRAchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	offsetdRAchi2Neg.Legend	 Q<0
 OBJ: TNamed	offsetdRAchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	offsetdRAchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	offsetdRAchi2Pos.AxisTitle	
 OBJ: TNamed	offsetdRAchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	offsetdRAchi2Pos.Legend	 Q>0
 OBJ: TNamed	offsetdRAchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	offsetdRAchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	offsetdRC.AxisTitle	
 OBJ: TNamed	offsetdRC.Description	TPC standard QA variables.  Class TPC CSide
 OBJ: TNamed	offsetdRC.Legend	 C side
 OBJ: TNamed	offsetdRC.Title	 C side
 OBJ: TNamed	offsetdRC.class	TPC CSide
 OBJ: TNamed	offsetdRCErr.AxisTitle	
 OBJ: TNamed	offsetdRCErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	offsetdRCErr.Legend	
 OBJ: TNamed	offsetdRCErr.Title	#sigma
 OBJ: TNamed	offsetdRCErr.class	TPC Err
 OBJ: TNamed	offsetdRCErrNeg.AxisTitle	
 OBJ: TNamed	offsetdRCErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	offsetdRCErrNeg.Legend	 Q<0
 OBJ: TNamed	offsetdRCErrNeg.Title	#sigma Q<0
 OBJ: TNamed	offsetdRCErrNeg.class	TPC Err Neg
 OBJ: TNamed	offsetdRCErrPos.AxisTitle	
 OBJ: TNamed	offsetdRCErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	offsetdRCErrPos.Legend	 Q>0
 OBJ: TNamed	offsetdRCErrPos.Title	#sigma Q>0
 OBJ: TNamed	offsetdRCErrPos.class	TPC Err Pos
 OBJ: TNamed	offsetdRCNeg.AxisTitle	
 OBJ: TNamed	offsetdRCNeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	offsetdRCNeg.Legend	 Q<0
 OBJ: TNamed	offsetdRCNeg.Title	 Q<0
 OBJ: TNamed	offsetdRCNeg.class	TPC Neg
 OBJ: TNamed	offsetdRCPos.AxisTitle	
 OBJ: TNamed	offsetdRCPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	offsetdRCPos.Legend	 Q>0
 OBJ: TNamed	offsetdRCPos.Title	 Q>0
 OBJ: TNamed	offsetdRCPos.class	TPC Pos
 OBJ: TNamed	offsetdRCchi2.AxisTitle	
 OBJ: TNamed	offsetdRCchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	offsetdRCchi2.Legend	
 OBJ: TNamed	offsetdRCchi2.Title	 #chi2
 OBJ: TNamed	offsetdRCchi2.class	TPC Chi2
 OBJ: TNamed	offsetdRCchi2Neg.AxisTitle	
 OBJ: TNamed	offsetdRCchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	offsetdRCchi2Neg.Legend	 Q<0
 OBJ: TNamed	offsetdRCchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	offsetdRCchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	offsetdRCchi2Pos.AxisTitle	
 OBJ: TNamed	offsetdRCchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	offsetdRCchi2Pos.Legend	 Q>0
 OBJ: TNamed	offsetdRCchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	offsetdRCchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	offsetdZA.AxisTitle	
 OBJ: TNamed	offsetdZA.Description	TPC standard QA variables.  Class TPC ASide
 OBJ: TNamed	offsetdZA.Legend	 A side
 OBJ: TNamed	offsetdZA.Title	 A side
 OBJ: TNamed	offsetdZA.class	TPC ASide
 OBJ: TNamed	offsetdZAErr.AxisTitle	
 OBJ: TNamed	offsetdZAErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	offsetdZAErr.Legend	
 OBJ: TNamed	offsetdZAErr.Title	#sigma
 OBJ: TNamed	offsetdZAErr.class	TPC Err
 OBJ: TNamed	offsetdZAErrNeg.AxisTitle	
 OBJ: TNamed	offsetdZAErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	offsetdZAErrNeg.Legend	 Q<0
 OBJ: TNamed	offsetdZAErrNeg.Title	#sigma Q<0
 OBJ: TNamed	offsetdZAErrNeg.class	TPC Err Neg
 OBJ: TNamed	offsetdZAErrPos.AxisTitle	
 OBJ: TNamed	offsetdZAErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	offsetdZAErrPos.Legend	 Q>0
 OBJ: TNamed	offsetdZAErrPos.Title	#sigma Q>0
 OBJ: TNamed	offsetdZAErrPos.class	TPC Err Pos
 OBJ: TNamed	offsetdZANeg.AxisTitle	
 OBJ: TNamed	offsetdZANeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	offsetdZANeg.Legend	 Q<0
 OBJ: TNamed	offsetdZANeg.Title	 Q<0
 OBJ: TNamed	offsetdZANeg.class	TPC Neg
 OBJ: TNamed	offsetdZAPos.AxisTitle	
 OBJ: TNamed	offsetdZAPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	offsetdZAPos.Legend	 Q>0
 OBJ: TNamed	offsetdZAPos.Title	 Q>0
 OBJ: TNamed	offsetdZAPos.class	TPC Pos
 OBJ: TNamed	offsetdZAchi2.AxisTitle	
 OBJ: TNamed	offsetdZAchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	offsetdZAchi2.Legend	
 OBJ: TNamed	offsetdZAchi2.Title	 #chi2
 OBJ: TNamed	offsetdZAchi2.class	TPC Chi2
 OBJ: TNamed	offsetdZAchi2Neg.AxisTitle	
 OBJ: TNamed	offsetdZAchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	offsetdZAchi2Neg.Legend	 Q<0
 OBJ: TNamed	offsetdZAchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	offsetdZAchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	offsetdZAchi2Pos.AxisTitle	
 OBJ: TNamed	offsetdZAchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	offsetdZAchi2Pos.Legend	 Q>0
 OBJ: TNamed	offsetdZAchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	offsetdZAchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	offsetdZC.AxisTitle	
 OBJ: TNamed	offsetdZC.Description	TPC standard QA variables.  Class TPC CSide
 OBJ: TNamed	offsetdZC.Legend	 C side
 OBJ: TNamed	offsetdZC.Title	 C side
 OBJ: TNamed	offsetdZC.class	TPC CSide
 OBJ: TNamed	offsetdZCErr.AxisTitle	
 OBJ: TNamed	offsetdZCErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	offsetdZCErr.Legend	
 OBJ: TNamed	offsetdZCErr.Title	#sigma
 OBJ: TNamed	offsetdZCErr.class	TPC Err
 OBJ: TNamed	offsetdZCErrNeg.AxisTitle	
 OBJ: TNamed	offsetdZCErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	offsetdZCErrNeg.Legend	 Q<0
 OBJ: TNamed	offsetdZCErrNeg.Title	#sigma Q<0
 OBJ: TNamed	offsetdZCErrNeg.class	TPC Err Neg
 OBJ: TNamed	offsetdZCErrPos.AxisTitle	
 OBJ: TNamed	offsetdZCErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	offsetdZCErrPos.Legend	 Q>0
 OBJ: TNamed	offsetdZCErrPos.Title	#sigma Q>0
 OBJ: TNamed	offsetdZCErrPos.class	TPC Err Pos
 OBJ: TNamed	offsetdZCNeg.AxisTitle	
 OBJ: TNamed	offsetdZCNeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	offsetdZCNeg.Legend	 Q<0
 OBJ: TNamed	offsetdZCNeg.Title	 Q<0
 OBJ: TNamed	offsetdZCNeg.class	TPC Neg
 OBJ: TNamed	offsetdZCPos.AxisTitle	
 OBJ: TNamed	offsetdZCPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	offsetdZCPos.Legend	 Q>0
 OBJ: TNamed	offsetdZCPos.Title	 Q>0
 OBJ: TNamed	offsetdZCPos.class	TPC Pos
 OBJ: TNamed	offsetdZCchi2.AxisTitle	
 OBJ: TNamed	offsetdZCchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	offsetdZCchi2.Legend	
 OBJ: TNamed	offsetdZCchi2.Title	 #chi2
 OBJ: TNamed	offsetdZCchi2.class	TPC Chi2
 OBJ: TNamed	offsetdZCchi2Neg.AxisTitle	
 OBJ: TNamed	offsetdZCchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	offsetdZCchi2Neg.Legend	 Q<0
 OBJ: TNamed	offsetdZCchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	offsetdZCchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	offsetdZCchi2Pos.AxisTitle	
 OBJ: TNamed	offsetdZCchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	offsetdZCchi2Pos.Legend	 Q>0
 OBJ: TNamed	offsetdZCchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	offsetdZCchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	oroc_A_side.AxisTitle	
 OBJ: TNamed	oroc_A_side.Description	TPC standard QA variables.  Class TPC ASide OROC
 OBJ: TNamed	oroc_A_side.Legend	 A side OROC
 OBJ: TNamed	oroc_A_side.Title	 A side OROC
 OBJ: TNamed	oroc_A_side.class	TPC ASide OROC
 OBJ: TNamed	oroc_C_side.AxisTitle	
 OBJ: TNamed	oroc_C_side.Description	TPC standard QA variables.  Class TPC CSide OROC
 OBJ: TNamed	oroc_C_side.Legend	 C side OROC
 OBJ: TNamed	oroc_C_side.Title	 C side OROC
 OBJ: TNamed	oroc_C_side.class	TPC CSide OROC
 OBJ: TNamed	pass..AxisTitle	
 OBJ: TNamed	pass..Description	TPC standard QA variables.  Class TPC Class:TObjString
 OBJ: TNamed	pass..Legend	
 OBJ: TNamed	pass..Title	
 OBJ: TNamed	pass..class	TPC Class:TObjString
 OBJ: TNamed	period..AxisTitle	
 OBJ: TNamed	period..Description	TPC standard QA variables.  Class TPC Class:TObjString
 OBJ: TNamed	period..Legend	
 OBJ: TNamed	period..Title	
 OBJ: TNamed	period..class	TPC Class:TObjString
 OBJ: TNamed	phiPull.AxisTitle	 #phi
 OBJ: TNamed	phiPull.Description	TPC standard QA variables.  Class TPC Pull Phi
 OBJ: TNamed	phiPull.Legend	 #phi
 OBJ: TNamed	phiPull.Title	pull #phi
 OBJ: TNamed	phiPull.class	TPC Pull Phi
 OBJ: TNamed	phiPullHighPt.AxisTitle	 #phi
 OBJ: TNamed	phiPullHighPt.Description	TPC standard QA variables.  Class TPC Pull Phi HighPt
 OBJ: TNamed	phiPullHighPt.Legend	 #phi high p_{T}
 OBJ: TNamed	phiPullHighPt.Title	pull #phi high p_{T}
 OBJ: TNamed	phiPullHighPt.class	TPC Pull Phi HighPt
 OBJ: TNamed	ptPull.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	ptPull.Description	TPC standard QA variables.  Class TPC Pull Pt
 OBJ: TNamed	ptPull.Legend	 p_{T}
 OBJ: TNamed	ptPull.Title	pull p_{T}
 OBJ: TNamed	ptPull.class	TPC Pull Pt
 OBJ: TNamed	ptPullHighPt.AxisTitle	 p_{T}(Gev/c)
 OBJ: TNamed	ptPullHighPt.Description	TPC standard QA variables.  Class TPC Pull Pt HighPt
 OBJ: TNamed	ptPullHighPt.Legend	 p_{T} high p_{T}
 OBJ: TNamed	ptPullHighPt.Title	pull p_{T} high p_{T}
 OBJ: TNamed	ptPullHighPt.class	TPC Pull Pt HighPt
 OBJ: TNamed	qOverPt.AxisTitle	 q/p_{T}(c/GeV)
 OBJ: TNamed	qOverPt.Description	TPC standard QA variables.  Class TPC QOverPt
 OBJ: TNamed	qOverPt.Legend	 q/p_{T}
 OBJ: TNamed	qOverPt.Title	 q/p_{T}
 OBJ: TNamed	qOverPt.class	TPC QOverPt
 OBJ: TNamed	qOverPtA.AxisTitle	 q/p_{T}(c/GeV)
 OBJ: TNamed	qOverPtA.Description	TPC standard QA variables.  Class TPC QOverPt ASide
 OBJ: TNamed	qOverPtA.Legend	 q/p_{T} A side
 OBJ: TNamed	qOverPtA.Title	 q/p_{T} A side
 OBJ: TNamed	qOverPtA.class	TPC QOverPt ASide
 OBJ: TNamed	qOverPtC.AxisTitle	 q/p_{T}(c/GeV)
 OBJ: TNamed	qOverPtC.Description	TPC standard QA variables.  Class TPC QOverPt CSide
 OBJ: TNamed	qOverPtC.Legend	 q/p_{T} C side
 OBJ: TNamed	qOverPtC.Title	 q/p_{T} C side
 OBJ: TNamed	qOverPtC.class	TPC QOverPt CSide
 OBJ: TNamed	rawClusterCounter.AxisTitle	
 OBJ: TNamed	rawClusterCounter.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	rawClusterCounter.Legend	
 OBJ: TNamed	rawClusterCounter.Title	
 OBJ: TNamed	rawClusterCounter.class	TPC
 OBJ: TNamed	rawLowCounter75.html	%d<run>/rawQAInformation.png
 OBJ: TNamed	rawSignalCounter.AxisTitle	
 OBJ: TNamed	rawSignalCounter.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	rawSignalCounter.Legend	
 OBJ: TNamed	rawSignalCounter.Title	
 OBJ: TNamed	rawSignalCounter.class	TPC
 OBJ: TNamed	resolutionMIP.AxisTitle	 dEdx(MIP/50)
 OBJ: TNamed	resolutionMIP.Description	TPC standard QA variables.  Class TPC RMS dEdx
 OBJ: TNamed	resolutionMIP.Legend	 dEdx
 OBJ: TNamed	resolutionMIP.Title	rms dEdx
 OBJ: TNamed	resolutionMIP.class	TPC RMS dEdx
 OBJ: TNamed	resolutionMIPele.AxisTitle	 dEdx(MIP/50) Electron
 OBJ: TNamed	resolutionMIPele.Description	TPC standard QA variables.  Class TPC RMS dEdx Electron
 OBJ: TNamed	resolutionMIPele.Legend	 dEdx e-
 OBJ: TNamed	resolutionMIPele.Title	rms dEdx e-
 OBJ: TNamed	resolutionMIPele.class	TPC RMS dEdx Electron
 OBJ: TNamed	rmsMult.AxisTitle	
 OBJ: TNamed	rmsMult.Description	TPC standard QA variables.  Class TPC RMS
 OBJ: TNamed	rmsMult.Legend	
 OBJ: TNamed	rmsMult.Title	rms
 OBJ: TNamed	rmsMult.class	TPC RMS
 OBJ: TNamed	rmsMultNeg.AxisTitle	
 OBJ: TNamed	rmsMultNeg.Description	TPC standard QA variables.  Class TPC RMS Neg
 OBJ: TNamed	rmsMultNeg.Legend	 Q<0
 OBJ: TNamed	rmsMultNeg.Title	rms Q<0
 OBJ: TNamed	rmsMultNeg.class	TPC RMS Neg
 OBJ: TNamed	rmsMultPos.AxisTitle	
 OBJ: TNamed	rmsMultPos.Description	TPC standard QA variables.  Class TPC RMS Pos
 OBJ: TNamed	rmsMultPos.Legend	 Q>0
 OBJ: TNamed	rmsMultPos.Title	rms Q>0
 OBJ: TNamed	rmsMultPos.class	TPC RMS Pos
 OBJ: TNamed	rmsTPCChi2.AxisTitle	
 OBJ: TNamed	rmsTPCChi2.Description	TPC standard QA variables.  Class TPC RMS Chi2
 OBJ: TNamed	rmsTPCChi2.Legend	
 OBJ: TNamed	rmsTPCChi2.Title	rms #chi2
 OBJ: TNamed	rmsTPCChi2.class	TPC RMS Chi2
 OBJ: TNamed	rmsTPCncl.AxisTitle	 Ncl(#)
 OBJ: TNamed	rmsTPCncl.Description	TPC standard QA variables.  Class TPC RMS Ncl
 OBJ: TNamed	rmsTPCncl.Legend	 Ncl
 OBJ: TNamed	rmsTPCncl.Title	rms Ncl
 OBJ: TNamed	rmsTPCncl.class	TPC RMS Ncl
 OBJ: TNamed	rmsTPCnclF.AxisTitle	 Ncl(#)
 OBJ: TNamed	rmsTPCnclF.Description	TPC standard QA variables.  Class TPC RMS Ncl
 OBJ: TNamed	rmsTPCnclF.Legend	 Ncl
 OBJ: TNamed	rmsTPCnclF.Title	rms Ncl
 OBJ: TNamed	rmsTPCnclF.class	TPC RMS Ncl
 OBJ: TNamed	rmsVertX.AxisTitle	 x(cm)
 OBJ: TNamed	rmsVertX.Description	TPC standard QA variables.  Class TPC RMS X
 OBJ: TNamed	rmsVertX.Legend	 x
 OBJ: TNamed	rmsVertX.Title	rms x
 OBJ: TNamed	rmsVertX.class	TPC RMS X
 OBJ: TNamed	rmsVertY.AxisTitle	 y(cm)
 OBJ: TNamed	rmsVertY.Description	TPC standard QA variables.  Class TPC RMS Y
 OBJ: TNamed	rmsVertY.Legend	 y
 OBJ: TNamed	rmsVertY.Title	rms y
 OBJ: TNamed	rmsVertY.class	TPC RMS Y
 OBJ: TNamed	rmsVertZ.AxisTitle	 z(cm)
 OBJ: TNamed	rmsVertZ.Description	TPC standard QA variables.  Class TPC RMS Z
 OBJ: TNamed	rmsVertZ.Legend	 z
 OBJ: TNamed	rmsVertZ.Title	rms z
 OBJ: TNamed	rmsVertZ.class	TPC RMS Z
 OBJ: TNamed	run.AxisTitle	run
 OBJ: TNamed	run.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	run.Legend	
 OBJ: TNamed	run.Title	run
 OBJ: TNamed	run.class	Base Index
 OBJ: TNamed	runType..AxisTitle	
 OBJ: TNamed	runType..Description	TPC standard QA variables.  Class TPC Class:TObjString
 OBJ: TNamed	runType..Legend	
 OBJ: TNamed	runType..Title	
 OBJ: TNamed	runType..class	TPC Class:TObjString
 OBJ: TNamed	sector..AxisTitle	
 OBJ: TNamed	sector..Description	TPC standard QA variables.  Class TPC Sector Class:TVectorT<double>
 OBJ: TNamed	sector..Legend	 Sector
 OBJ: TNamed	sector..Title	 Sector
 OBJ: TNamed	sector..class	TPC Sector Class:TVectorT<double>
 OBJ: TNamed	sigmaRelMIPvsSector..AxisTitle	 dEdx(MIP/50)
 OBJ: TNamed	sigmaRelMIPvsSector..Description	TPC standard QA variables.  Class TPC dEdx Sector Class:TVectorT<double>
 OBJ: TNamed	sigmaRelMIPvsSector..Legend	 dEdx Sector
 OBJ: TNamed	sigmaRelMIPvsSector..Title	 dEdx Sector
 OBJ: TNamed	sigmaRelMIPvsSector..class	TPC dEdx Sector Class:TVectorT<double>
 OBJ: TNamed	slopeATPCncl.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeATPCncl.Description	TPC standard QA variables.  Class TPC Ncl
 OBJ: TNamed	slopeATPCncl.Legend	 Ncl
 OBJ: TNamed	slopeATPCncl.Title	 Ncl
 OBJ: TNamed	slopeATPCncl.class	TPC Ncl
 OBJ: TNamed	slopeATPCnclErr.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeATPCnclErr.Description	TPC standard QA variables.  Class TPC Err Ncl
 OBJ: TNamed	slopeATPCnclErr.Legend	 Ncl
 OBJ: TNamed	slopeATPCnclErr.Title	#sigma Ncl
 OBJ: TNamed	slopeATPCnclErr.class	TPC Err Ncl
 OBJ: TNamed	slopeATPCnclF.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeATPCnclF.Description	TPC standard QA variables.  Class TPC Ncl
 OBJ: TNamed	slopeATPCnclF.Legend	 Ncl
 OBJ: TNamed	slopeATPCnclF.Title	 Ncl
 OBJ: TNamed	slopeATPCnclF.class	TPC Ncl
 OBJ: TNamed	slopeATPCnclFErr.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeATPCnclFErr.Description	TPC standard QA variables.  Class TPC Err Ncl
 OBJ: TNamed	slopeATPCnclFErr.Legend	 Ncl
 OBJ: TNamed	slopeATPCnclFErr.Title	#sigma Ncl
 OBJ: TNamed	slopeATPCnclFErr.class	TPC Err Ncl
 OBJ: TNamed	slopeCTPCncl.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeCTPCncl.Description	TPC standard QA variables.  Class TPC Ncl
 OBJ: TNamed	slopeCTPCncl.Legend	 Ncl
 OBJ: TNamed	slopeCTPCncl.Title	 Ncl
 OBJ: TNamed	slopeCTPCncl.class	TPC Ncl
 OBJ: TNamed	slopeCTPCnclErr.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeCTPCnclErr.Description	TPC standard QA variables.  Class TPC Err Ncl
 OBJ: TNamed	slopeCTPCnclErr.Legend	 Ncl
 OBJ: TNamed	slopeCTPCnclErr.Title	#sigma Ncl
 OBJ: TNamed	slopeCTPCnclErr.class	TPC Err Ncl
 OBJ: TNamed	slopeCTPCnclF.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeCTPCnclF.Description	TPC standard QA variables.  Class TPC Ncl
 OBJ: TNamed	slopeCTPCnclF.Legend	 Ncl
 OBJ: TNamed	slopeCTPCnclF.Title	 Ncl
 OBJ: TNamed	slopeCTPCnclF.class	TPC Ncl
 OBJ: TNamed	slopeCTPCnclFErr.AxisTitle	 Ncl(#)
 OBJ: TNamed	slopeCTPCnclFErr.Description	TPC standard QA variables.  Class TPC Err Ncl
 OBJ: TNamed	slopeCTPCnclFErr.Legend	 Ncl
 OBJ: TNamed	slopeCTPCnclFErr.Title	#sigma Ncl
 OBJ: TNamed	slopeCTPCnclFErr.class	TPC Err Ncl
 OBJ: TNamed	slopedRA.AxisTitle	
 OBJ: TNamed	slopedRA.Description	TPC standard QA variables.  Class TPC ASide
 OBJ: TNamed	slopedRA.Legend	 A side
 OBJ: TNamed	slopedRA.Title	 A side
 OBJ: TNamed	slopedRA.class	TPC ASide
 OBJ: TNamed	slopedRAErr.AxisTitle	
 OBJ: TNamed	slopedRAErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	slopedRAErr.Legend	
 OBJ: TNamed	slopedRAErr.Title	#sigma
 OBJ: TNamed	slopedRAErr.class	TPC Err
 OBJ: TNamed	slopedRAErrNeg.AxisTitle	
 OBJ: TNamed	slopedRAErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	slopedRAErrNeg.Legend	 Q<0
 OBJ: TNamed	slopedRAErrNeg.Title	#sigma Q<0
 OBJ: TNamed	slopedRAErrNeg.class	TPC Err Neg
 OBJ: TNamed	slopedRAErrPos.AxisTitle	
 OBJ: TNamed	slopedRAErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	slopedRAErrPos.Legend	 Q>0
 OBJ: TNamed	slopedRAErrPos.Title	#sigma Q>0
 OBJ: TNamed	slopedRAErrPos.class	TPC Err Pos
 OBJ: TNamed	slopedRANeg.AxisTitle	
 OBJ: TNamed	slopedRANeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	slopedRANeg.Legend	 Q<0
 OBJ: TNamed	slopedRANeg.Title	 Q<0
 OBJ: TNamed	slopedRANeg.class	TPC Neg
 OBJ: TNamed	slopedRAPos.AxisTitle	
 OBJ: TNamed	slopedRAPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	slopedRAPos.Legend	 Q>0
 OBJ: TNamed	slopedRAPos.Title	 Q>0
 OBJ: TNamed	slopedRAPos.class	TPC Pos
 OBJ: TNamed	slopedRAchi2.AxisTitle	
 OBJ: TNamed	slopedRAchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	slopedRAchi2.Legend	
 OBJ: TNamed	slopedRAchi2.Title	 #chi2
 OBJ: TNamed	slopedRAchi2.class	TPC Chi2
 OBJ: TNamed	slopedRAchi2Neg.AxisTitle	
 OBJ: TNamed	slopedRAchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	slopedRAchi2Neg.Legend	 Q<0
 OBJ: TNamed	slopedRAchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	slopedRAchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	slopedRAchi2Pos.AxisTitle	
 OBJ: TNamed	slopedRAchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	slopedRAchi2Pos.Legend	 Q>0
 OBJ: TNamed	slopedRAchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	slopedRAchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	slopedRC.AxisTitle	
 OBJ: TNamed	slopedRC.Description	TPC standard QA variables.  Class TPC CSide
 OBJ: TNamed	slopedRC.Legend	 C side
 OBJ: TNamed	slopedRC.Title	 C side
 OBJ: TNamed	slopedRC.class	TPC CSide
 OBJ: TNamed	slopedRCErr.AxisTitle	
 OBJ: TNamed	slopedRCErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	slopedRCErr.Legend	
 OBJ: TNamed	slopedRCErr.Title	#sigma
 OBJ: TNamed	slopedRCErr.class	TPC Err
 OBJ: TNamed	slopedRCErrNeg.AxisTitle	
 OBJ: TNamed	slopedRCErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	slopedRCErrNeg.Legend	 Q<0
 OBJ: TNamed	slopedRCErrNeg.Title	#sigma Q<0
 OBJ: TNamed	slopedRCErrNeg.class	TPC Err Neg
 OBJ: TNamed	slopedRCErrPos.AxisTitle	
 OBJ: TNamed	slopedRCErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	slopedRCErrPos.Legend	 Q>0
 OBJ: TNamed	slopedRCErrPos.Title	#sigma Q>0
 OBJ: TNamed	slopedRCErrPos.class	TPC Err Pos
 OBJ: TNamed	slopedRCNeg.AxisTitle	
 OBJ: TNamed	slopedRCNeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	slopedRCNeg.Legend	 Q<0
 OBJ: TNamed	slopedRCNeg.Title	 Q<0
 OBJ: TNamed	slopedRCNeg.class	TPC Neg
 OBJ: TNamed	slopedRCPos.AxisTitle	
 OBJ: TNamed	slopedRCPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	slopedRCPos.Legend	 Q>0
 OBJ: TNamed	slopedRCPos.Title	 Q>0
 OBJ: TNamed	slopedRCPos.class	TPC Pos
 OBJ: TNamed	slopedRCchi2.AxisTitle	
 OBJ: TNamed	slopedRCchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	slopedRCchi2.Legend	
 OBJ: TNamed	slopedRCchi2.Title	 #chi2
 OBJ: TNamed	slopedRCchi2.class	TPC Chi2
 OBJ: TNamed	slopedRCchi2Neg.AxisTitle	
 OBJ: TNamed	slopedRCchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	slopedRCchi2Neg.Legend	 Q<0
 OBJ: TNamed	slopedRCchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	slopedRCchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	slopedRCchi2Pos.AxisTitle	
 OBJ: TNamed	slopedRCchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	slopedRCchi2Pos.Legend	 Q>0
 OBJ: TNamed	slopedRCchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	slopedRCchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	slopedZA.AxisTitle	
 OBJ: TNamed	slopedZA.Description	TPC standard QA variables.  Class TPC ASide
 OBJ: TNamed	slopedZA.Legend	 A side
 OBJ: TNamed	slopedZA.Title	 A side
 OBJ: TNamed	slopedZA.class	TPC ASide
 OBJ: TNamed	slopedZAErr.AxisTitle	
 OBJ: TNamed	slopedZAErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	slopedZAErr.Legend	
 OBJ: TNamed	slopedZAErr.Title	#sigma
 OBJ: TNamed	slopedZAErr.class	TPC Err
 OBJ: TNamed	slopedZAErrNeg.AxisTitle	
 OBJ: TNamed	slopedZAErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	slopedZAErrNeg.Legend	 Q<0
 OBJ: TNamed	slopedZAErrNeg.Title	#sigma Q<0
 OBJ: TNamed	slopedZAErrNeg.class	TPC Err Neg
 OBJ: TNamed	slopedZAErrPos.AxisTitle	
 OBJ: TNamed	slopedZAErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	slopedZAErrPos.Legend	 Q>0
 OBJ: TNamed	slopedZAErrPos.Title	#sigma Q>0
 OBJ: TNamed	slopedZAErrPos.class	TPC Err Pos
 OBJ: TNamed	slopedZANeg.AxisTitle	
 OBJ: TNamed	slopedZANeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	slopedZANeg.Legend	 Q<0
 OBJ: TNamed	slopedZANeg.Title	 Q<0
 OBJ: TNamed	slopedZANeg.class	TPC Neg
 OBJ: TNamed	slopedZAPos.AxisTitle	
 OBJ: TNamed	slopedZAPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	slopedZAPos.Legend	 Q>0
 OBJ: TNamed	slopedZAPos.Title	 Q>0
 OBJ: TNamed	slopedZAPos.class	TPC Pos
 OBJ: TNamed	slopedZAchi2.AxisTitle	
 OBJ: TNamed	slopedZAchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	slopedZAchi2.Legend	
 OBJ: TNamed	slopedZAchi2.Title	 #chi2
 OBJ: TNamed	slopedZAchi2.class	TPC Chi2
 OBJ: TNamed	slopedZAchi2Neg.AxisTitle	
 OBJ: TNamed	slopedZAchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	slopedZAchi2Neg.Legend	 Q<0
 OBJ: TNamed	slopedZAchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	slopedZAchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	slopedZAchi2Pos.AxisTitle	
 OBJ: TNamed	slopedZAchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	slopedZAchi2Pos.Legend	 Q>0
 OBJ: TNamed	slopedZAchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	slopedZAchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	slopedZC.AxisTitle	
 OBJ: TNamed	slopedZC.Description	TPC standard QA variables.  Class TPC CSide
 OBJ: TNamed	slopedZC.Legend	 C side
 OBJ: TNamed	slopedZC.Title	 C side
 OBJ: TNamed	slopedZC.class	TPC CSide
 OBJ: TNamed	slopedZCErr.AxisTitle	
 OBJ: TNamed	slopedZCErr.Description	TPC standard QA variables.  Class TPC Err
 OBJ: TNamed	slopedZCErr.Legend	
 OBJ: TNamed	slopedZCErr.Title	#sigma
 OBJ: TNamed	slopedZCErr.class	TPC Err
 OBJ: TNamed	slopedZCErrNeg.AxisTitle	
 OBJ: TNamed	slopedZCErrNeg.Description	TPC standard QA variables.  Class TPC Err Neg
 OBJ: TNamed	slopedZCErrNeg.Legend	 Q<0
 OBJ: TNamed	slopedZCErrNeg.Title	#sigma Q<0
 OBJ: TNamed	slopedZCErrNeg.class	TPC Err Neg
 OBJ: TNamed	slopedZCErrPos.AxisTitle	
 OBJ: TNamed	slopedZCErrPos.Description	TPC standard QA variables.  Class TPC Err Pos
 OBJ: TNamed	slopedZCErrPos.Legend	 Q>0
 OBJ: TNamed	slopedZCErrPos.Title	#sigma Q>0
 OBJ: TNamed	slopedZCErrPos.class	TPC Err Pos
 OBJ: TNamed	slopedZCNeg.AxisTitle	
 OBJ: TNamed	slopedZCNeg.Description	TPC standard QA variables.  Class TPC Neg
 OBJ: TNamed	slopedZCNeg.Legend	 Q<0
 OBJ: TNamed	slopedZCNeg.Title	 Q<0
 OBJ: TNamed	slopedZCNeg.class	TPC Neg
 OBJ: TNamed	slopedZCPos.AxisTitle	
 OBJ: TNamed	slopedZCPos.Description	TPC standard QA variables.  Class TPC Pos
 OBJ: TNamed	slopedZCPos.Legend	 Q>0
 OBJ: TNamed	slopedZCPos.Title	 Q>0
 OBJ: TNamed	slopedZCPos.class	TPC Pos
 OBJ: TNamed	slopedZCchi2.AxisTitle	
 OBJ: TNamed	slopedZCchi2.Description	TPC standard QA variables.  Class TPC Chi2
 OBJ: TNamed	slopedZCchi2.Legend	
 OBJ: TNamed	slopedZCchi2.Title	 #chi2
 OBJ: TNamed	slopedZCchi2.class	TPC Chi2
 OBJ: TNamed	slopedZCchi2Neg.AxisTitle	
 OBJ: TNamed	slopedZCchi2Neg.Description	TPC standard QA variables.  Class TPC Chi2 Neg
 OBJ: TNamed	slopedZCchi2Neg.Legend	 Q<0
 OBJ: TNamed	slopedZCchi2Neg.Title	 #chi2 Q<0
 OBJ: TNamed	slopedZCchi2Neg.class	TPC Chi2 Neg
 OBJ: TNamed	slopedZCchi2Pos.AxisTitle	
 OBJ: TNamed	slopedZCchi2Pos.Description	TPC standard QA variables.  Class TPC Chi2 Pos
 OBJ: TNamed	slopedZCchi2Pos.Legend	 Q>0
 OBJ: TNamed	slopedZCchi2Pos.Title	 #chi2 Q>0
 OBJ: TNamed	slopedZCchi2Pos.class	TPC Chi2 Pos
 OBJ: TNamed	startTimeGRP.AxisTitle	
 OBJ: TNamed	startTimeGRP.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	startTimeGRP.Legend	
 OBJ: TNamed	startTimeGRP.Title	
 OBJ: TNamed	startTimeGRP.class	TPC
 OBJ: TNamed	stopTimeGRP.AxisTitle	
 OBJ: TNamed	stopTimeGRP.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	stopTimeGRP.Legend	
 OBJ: TNamed	stopTimeGRP.Title	
 OBJ: TNamed	stopTimeGRP.class	TPC
 OBJ: TNamed	time.AxisTitle	
 OBJ: TNamed	time.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	time.Legend	
 OBJ: TNamed	time.Title	
 OBJ: TNamed	time.class	TPC
 OBJ: TNamed	tpcConstrainPhiA.AxisTitle	 #phi
 OBJ: TNamed	tpcConstrainPhiA.Description	TPC standard QA variables.  Class TPC Constrain Phi ASide
 OBJ: TNamed	tpcConstrainPhiA.Legend	 #phi A side
 OBJ: TNamed	tpcConstrainPhiA.Title	Constrain #phi A side
 OBJ: TNamed	tpcConstrainPhiA.class	TPC Constrain Phi ASide
 OBJ: TNamed	tpcConstrainPhiC.AxisTitle	 #phi
 OBJ: TNamed	tpcConstrainPhiC.Description	TPC standard QA variables.  Class TPC Constrain Phi CSide
 OBJ: TNamed	tpcConstrainPhiC.Legend	 #phi C side
 OBJ: TNamed	tpcConstrainPhiC.Title	Constrain #phi C side
 OBJ: TNamed	tpcConstrainPhiC.class	TPC Constrain Phi CSide
 OBJ: TNamed	tpcItsMatchA.AxisTitle	 Eff(unit)
 OBJ: TNamed	tpcItsMatchA.Description	TPC standard QA variables.  Class TPC Eff ASide
 OBJ: TNamed	tpcItsMatchA.Legend	 Eff A side
 OBJ: TNamed	tpcItsMatchA.Title	 Eff A side
 OBJ: TNamed	tpcItsMatchA.class	TPC Eff ASide
 OBJ: TNamed	tpcItsMatchC.AxisTitle	 Eff(unit)
 OBJ: TNamed	tpcItsMatchC.Description	TPC standard QA variables.  Class TPC Eff CSide
 OBJ: TNamed	tpcItsMatchC.Legend	 Eff C side
 OBJ: TNamed	tpcItsMatchC.Title	 Eff C side
 OBJ: TNamed	tpcItsMatchC.class	TPC Eff CSide
 OBJ: TNamed	tpcItsMatchHighPtA.AxisTitle	 Eff(unit)
 OBJ: TNamed	tpcItsMatchHighPtA.Description	TPC standard QA variables.  Class TPC Eff ASide HighPt
 OBJ: TNamed	tpcItsMatchHighPtA.Legend	 Eff A side high p_{T}
 OBJ: TNamed	tpcItsMatchHighPtA.Title	 Eff A side high p_{T}
 OBJ: TNamed	tpcItsMatchHighPtA.class	TPC Eff ASide HighPt
 OBJ: TNamed	tpcItsMatchHighPtC.AxisTitle	 Eff(unit)
 OBJ: TNamed	tpcItsMatchHighPtC.Description	TPC standard QA variables.  Class TPC Eff CSide HighPt
 OBJ: TNamed	tpcItsMatchHighPtC.Legend	 Eff C side high p_{T}
 OBJ: TNamed	tpcItsMatchHighPtC.Title	 Eff C side high p_{T}
 OBJ: TNamed	tpcItsMatchHighPtC.class	TPC Eff CSide HighPt
 OBJ: TNamed	vertAll.AxisTitle	
 OBJ: TNamed	vertAll.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	vertAll.Legend	
 OBJ: TNamed	vertAll.Title	
 OBJ: TNamed	vertAll.class	TPC
 OBJ: TNamed	vertOK.AxisTitle	
 OBJ: TNamed	vertOK.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	vertOK.Legend	
 OBJ: TNamed	vertOK.Title	
 OBJ: TNamed	vertOK.class	TPC
 OBJ: TNamed	vertStatus.AxisTitle	
 OBJ: TNamed	vertStatus.Description	TPC standard QA variables.  Class TPC
 OBJ: TNamed	vertStatus.Legend	
 OBJ: TNamed	vertStatus.Title	
 OBJ: TNamed	vertStatus.class	TPC
 OBJ: TNamed	yPull.AxisTitle	 y(cm)
 OBJ: TNamed	yPull.Description	TPC standard QA variables.  Class TPC Pull Y
 OBJ: TNamed	yPull.Legend	 y
 OBJ: TNamed	yPull.Title	pull y
 OBJ: TNamed	yPull.class	TPC Pull Y
 OBJ: TNamed	yPullHighPt.AxisTitle	 y(cm)
 OBJ: TNamed	yPullHighPt.Description	TPC standard QA variables.  Class TPC Pull Y HighPt
 OBJ: TNamed	yPullHighPt.Legend	 y high p_{T}
 OBJ: TNamed	yPullHighPt.Title	pull y high p_{T}
 OBJ: TNamed	yPullHighPt.class	TPC Pull Y HighPt
 OBJ: TNamed	year.AxisTitle	 y(cm)
 OBJ: TNamed	year.Description	TPC standard QA variables.  Class TPC Y
 OBJ: TNamed	year.Legend	 y
 OBJ: TNamed	year.Title	 y
 OBJ: TNamed	year.class	TPC Y
 OBJ: TNamed	zPull.AxisTitle	 z(cm)
 OBJ: TNamed	zPull.Description	TPC standard QA variables.  Class TPC Pull Z
 OBJ: TNamed	zPull.Legend	 z
 OBJ: TNamed	zPull.Title	pull z
 OBJ: TNamed	zPull.class	TPC Pull Z
 OBJ: TNamed	zPullHighPt.AxisTitle	 z(cm)
 OBJ: TNamed	zPullHighPt.Description	TPC standard QA variables.  Class TPC Pull Z HighPt
 OBJ: TNamed	zPullHighPt.Legend	 z high p_{T}
 OBJ: TNamed	zPullHighPt.Title	pull z high p_{T}
 OBJ: TNamed	zPullHighPt.class	TPC Pull Z HighPt






    



Info in <qatpcAddMetadata>: Start processing Tree tpcQA
Info in <qatpcAddMetadata>: End
Info in <AliExternalInfo::SetupVariables>: Information will be stored/retrieved in/from /homeold/miranov/AliExternalInfoCache//data/2017/LHC17*/cpass1_pass1/
Info in <AliExternalInfo::GetChain>: Files to add to chain: /homeold/miranov/AliExternalInfoCache//data/2017/LHC17c/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17d/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17e/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17f/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17g/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17h/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17i/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17j/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17k/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17l/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17m/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17o/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17p/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17q/cpass1_pass1/EVS_trending.root
/homeold/miranov/AliExternalInfoCache//data/2017/LHC17r/cpass1_pass1/EVS_trending.root
Info in <AliExternalInfo::SetupVariables>: Information will be stored/retrieved in/from /homeold/miranov/AliExternalInfoCache//data/2017/LHC17*/cpass1_pass1/
Info in <AliExternalInfo::AddChain>: Add to internal Chain: /homeold/miranov/AliExternalInfoCache//data/2017/LHC17*/cpass1_pass1/EVS_trending.root
Info in <AliExternalInfo::AddChain>: with tree name: trending
Info in <AliExternalInfo::SetupVariables>: Information will be stored/retrieved in/from /homeold/miranov/AliExternalInfoCache//data/2017/
Info in <AliExternalInfo::GetChain>: Files to add to chain: /homeold/miranov/AliExternalInfoCache//data/2017/rawTPC_OCDBscan.root
Info in <AliExternalInfo::SetupVariables>: Information will be stored/retrieved in/from /homeold/miranov/AliExternalInfoCache//data/2017/
Info in <AliExternalInfo::AddChain>: Add to internal Chain: /homeold/miranov/AliExternalInfoCache//data/2017/rawTPC_OCDBscan.root
Info in <AliExternalInfo::AddChain>: with tree name: dcs

CacheTree input variables to tree format usable by TMVA

TMVA can not work with friend trees with indeces, respec. with array of the measurements, resp aliases and functions
- input "flat tree" for MVA learning to be created with variables of interest
- AliTreePlayer::MakeCacheTree to create flat input tree for TMVA
```
AliTreePlayer::MakeCacheTree(tree,"resolutionMIP:meanMIPeleR:tpcItsMatchA:bz0:interactionRate:qmaxQASum:qmaxQASumIn:qmaxQASumOut:qmaxQASumR:run:time","TMVAInput.root","MVAInput","meanMIP>30&&run==QA.EVS.run");
```



In [5]:

    
AliTreePlayer::MakeCacheTree(tree,"resolutionMIP:meanMIPeleR:tpcItsMatchA:bz0:interactionRate:qmaxQASum:qmaxQASumIn:qmaxQASumOut:qmaxQASumR:run:time","TMVAInput.root","MVAInput","meanMIP>30&&run==QA.EVS.run");

Register example methods used for regression

BDT and MLP example
DNN - for the moment not used as need BLASS library - not in default AliRoot
- Naive adaptation of the DNN configuration from the ROOT tutorials TMVARegression.C -
- slow 100 times smaller than MLP
- lead to floating point exception



In [6]:

    
TString layoutString("Layout=TANH|20,LINEAR");
  TString training0("LearningRate=1e-5,Momentum=0.5,Repetitions=1,ConvergenceSteps=500,BatchSize=50,"
                    "TestRepetitions=7,WeightDecay=0.01,Regularization=L1,DropConfig=0.5+0.5+0.5+0.5,"
                    "DropRepetitions=2");
  TString training1("LearningRate=1e-5,Momentum=0.9,Repetitions=1,ConvergenceSteps=170,BatchSize=30,"
                    "TestRepetitions=7,WeightDecay=0.01,Regularization=L1,DropConfig=0.1+0.1+0.1,DropRepetitions="
                    "1");
  TString trainingStrategyString("TrainingStrategy=");
  trainingStrategyString += training0 + "|" + training1;
  TString dnnOptions("!H:V:ErrorStrategy=SUMOFSQUARES:VarTransform=G:WeightInitialization=XAVIERUNIFORM:Architecture=CPU");
  dnnOptions.Append(":");
  dnnOptions.Append(layoutString);
  dnnOptions.Append(":");
  dnnOptions.Append(trainingStrategyString);
  ///
  AliNDFunctionInterface::registerMethod("BDTRF25_8","!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8",TMVA::Types::kBDT);
  AliNDFunctionInterface::registerMethod("BDTRF12_16", "!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16", TMVA::Types::kBDT);
  AliNDFunctionInterface::registerMethod("KNN","nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim", TMVA::Types::kKNN);
  AliNDFunctionInterface::registerMethod("MLP", "!H:!V:VarTransform=Norm:NeuronType=tanh:NCycles=20000:HiddenLayers=N+20:TestRate=6:TrainingMethod=BFGS:Sampling=0.3:SamplingEpoch=0.8:ConvergenceImprove=1e-6:ConvergenceTests=15:!UseRegulator",TMVA::Types::kMLP);
  AliNDFunctionInterface::registerMethod("DNN_CPU",dnnOptions.Data(), TMVA::Types::kDNN);

Emulation of the bootstrap - training repeated several time

TODO - Implement real bootstrap ( random sampling with replacement + other methods) in the TMVA (to check with ROOT)
TODO - DNN example - TO USE DNN (Deep neural network) BLASS or CBLASS library has to be enabled in ROOT. This is not the case for the default aliBuild recipies



In [7]:

    
Int_t nRegression=10;
TFile *f= TFile::Open("TMVAInput.root");
f->GetObject("MVAInput",treeCache);
gSystem->Unlink("TMVA_RegressionOutput.root");
TString output="TMVA_RegressionOutput.root#";
for (Int_t iBoot=0; iBoot<nRegression; iBoot++) {
    AliNDFunctionInterface::FitMVARegression(output+"resolutionMIP"+iBoot,treeCache, "resolutionMIP", "interactionRate>0", "interactionRate:bz0:qmaxQASum:qmaxQASumR", "BDTRF25_8:BDTRF12_16:KNN", "");
    AliNDFunctionInterface::FitMVARegression(output+"meanMIPeleR"+iBoot,treeCache, "meanMIPeleR", "interactionRate>0", "interactionRate:bz0:qmaxQASum:qmaxQASumR", "BDTRF25_8:BDTRF12_16:KNN","");
    AliNDFunctionInterface::FitMVARegression(output+"tpcItsMatchA"+iBoot,treeCache, "tpcItsMatchA", "interactionRate>0", "interactionRate:bz0:qmaxQASum:qmaxQASumR", "BDTRF25_8:BDTRF12_16:KNN","");
}









    



DataSetInfo              : [resolutionMIP0] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP0] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP0] : Number of events in input trees
                         : Dataset[resolutionMIP0] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP0] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP0] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP0] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP0] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP0] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP0] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP0] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP0] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP0] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP0] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP0] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0535 sec         
                         : Dataset[resolutionMIP0] : Create results for training
                         : Dataset[resolutionMIP0] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP0] : Elapsed time for evaluation of 424 events: 0.00272 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP0/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP0/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0578 sec         
                         : Dataset[resolutionMIP0] : Create results for training
                         : Dataset[resolutionMIP0] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP0] : Elapsed time for evaluation of 424 events: 0.00189 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP0/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/resolutionMIP0/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000822 sec         
                         : Dataset[resolutionMIP0] : Create results for training
                         : Dataset[resolutionMIP0] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP0] : Elapsed time for evaluation of 424 events: 0.00658 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP0/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP0/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: resolutionMIP0/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP0/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP0/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP0/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP0/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP0] : Create results for testing
                         : Dataset[resolutionMIP0] : Evaluation of BDTRF25_8 on testing sample






    



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                         : Dataset[resolutionMIP0] : Elapsed time for evaluation of 424 events: 0.00292 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP0] : Create results for testing
                         : Dataset[resolutionMIP0] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP0] : Elapsed time for evaluation of 424 events: 0.00155 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP0] : Create results for testing
                         : Dataset[resolutionMIP0] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP0] : Elapsed time for evaluation of 424 events: 0.00549 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00246 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0024 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00126 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00107 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.0055 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00508 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP0       BDTRF12_16     :-9.25e-05 1.63e-06  0.00175 0.000664  |  1.371  1.348
                         : resolutionMIP0       BDTRF25_8      :-8.70e-05 2.62e-05  0.00169 0.000686  |  1.330  1.312
                         : resolutionMIP0       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP0       BDTRF12_16     :-7.03e-06-7.37e-06 0.000301 0.000210  |  1.738  1.817
                         : resolutionMIP0       BDTRF25_8      : 3.29e-06 1.92e-05 0.000440 0.000380  |  1.577  1.633
                         : resolutionMIP0       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP0   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP0   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR0] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR0] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR0] : Number of events in input trees
                         : Dataset[meanMIPeleR0] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR0] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR0] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR0] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR0] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR0] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR0] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR0] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR0] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR0] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR0] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR0] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0607 sec         
                         : Dataset[meanMIPeleR0] : Create results for training
                         : Dataset[meanMIPeleR0] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR0] : Elapsed time for evaluation of 424 events: 0.00274 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR0/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR0/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0648 sec         
                         : Dataset[meanMIPeleR0] : Create results for training
                         : Dataset[meanMIPeleR0] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR0] : Elapsed time for evaluation of 424 events: 0.00176 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR0/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR0/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000701 sec         
                         : Dataset[meanMIPeleR0] : Create results for training
                         : Dataset[meanMIPeleR0] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR0] : Elapsed time for evaluation of 424 events: 0.00488 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR0/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR0/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR0/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR0/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR0/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR0/weights/TMVARegression_BDTRF12_16.weights.xml






    



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Weight file	meanMIPeleR0/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR0] : Create results for testing
                         : Dataset[meanMIPeleR0] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR0] : Elapsed time for evaluation of 424 events: 0.00288 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR0] : Create results for testing
                         : Dataset[meanMIPeleR0] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR0] : Elapsed time for evaluation of 424 events: 0.00156 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR0] : Create results for testing
                         : Dataset[meanMIPeleR0] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR0] : Elapsed time for evaluation of 424 events: 0.00709 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00256 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00219 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00134 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00129 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00539 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00637 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR0         BDTRF25_8      : -0.00120 0.000203   0.0374  0.00457  |  0.241  0.238
                         : meanMIPeleR0         BDTRF12_16     : -0.00210 0.000505   0.0541  0.00719  |  0.242  0.242
                         : meanMIPeleR0         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR0         BDTRF25_8      :-9.48e-05-8.36e-05  0.00268  0.00196  |  0.314  0.343
                         : meanMIPeleR0         BDTRF12_16     :-2.95e-05 1.42e-05 0.000875 0.000731  |  0.396  0.409
                         : meanMIPeleR0         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR0     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR0     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA0] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA0] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA0] : Number of events in input trees
                         : Dataset[tpcItsMatchA0] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA0] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA0] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA0] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA0] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA0] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA0] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA0] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA0] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA0] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA0] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA0] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0585 sec         
                         : Dataset[tpcItsMatchA0] : Create results for training
                         : Dataset[tpcItsMatchA0] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA0] : Elapsed time for evaluation of 424 events: 0.00278 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA0/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA0/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0789 sec         
                         : Dataset[tpcItsMatchA0] : Create results for training
                         : Dataset[tpcItsMatchA0] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA0] : Elapsed time for evaluation of 424 events: 0.002 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA0/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA0/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.0012 sec         
                         : Dataset[tpcItsMatchA0] : Create results for training
                         : Dataset[tpcItsMatchA0] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA0] : Elapsed time for evaluation of 424 events: 0.00519 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA0/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA0/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : Reading weight file: tpcItsMatchA0/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: tpcItsMatchA0/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA0/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA0/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA0/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA0] : Create results for testing
                         : Dataset[tpcItsMatchA0] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA0] : Elapsed time for evaluation of 424 events: 0.00278 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA0] : Create results for testing
                         : Dataset[tpcItsMatchA0] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA0] : Elapsed time for evaluation of 424 events: 0.0017 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA0] : Create results for testing
                         : Dataset[tpcItsMatchA0] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA0] : Elapsed time for evaluation of 424 events: 0.00565 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00203 sec       
                         : TestRegression (training)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00245 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00163 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00137 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00511 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00492 sec       






    



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TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA0        BDTRF12_16     :-0.000181-0.000942   0.0169   0.0105  |  1.238  1.251
                         : tpcItsMatchA0        BDTRF25_8      : -0.00138 -0.00228   0.0170   0.0102  |  1.229  1.235
                         : tpcItsMatchA0        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA0        BDTRF12_16     :-5.05e-05-0.000115  0.00254  0.00204  |  2.230  2.242
                         : tpcItsMatchA0        BDTRF25_8      :-0.000784 -0.00106  0.00662  0.00606  |  1.777  1.782
                         : tpcItsMatchA0        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA0    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA0    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
DataSetInfo              : [resolutionMIP1] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP1] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP1] : Number of events in input trees
                         : Dataset[resolutionMIP1] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP1] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP1] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP1] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP1] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP1] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP1] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP1] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP1] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP1] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP1] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP1] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0564 sec         
                         : Dataset[resolutionMIP1] : Create results for training
                         : Dataset[resolutionMIP1] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP1] : Elapsed time for evaluation of 424 events: 0.00279 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP1/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : TMVA_RegressionOutput.root:/resolutionMIP1/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.068 sec         
                         : Dataset[resolutionMIP1] : Create results for training
                         : Dataset[resolutionMIP1] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP1] : Elapsed time for evaluation of 424 events: 0.00181 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP1/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/resolutionMIP1/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000945 sec         
                         : Dataset[resolutionMIP1] : Create results for training
                         : Dataset[resolutionMIP1] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP1] : Elapsed time for evaluation of 424 events: 0.00565 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP1/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP1/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: resolutionMIP1/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP1/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP1/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP1/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP1/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP1] : Create results for testing
                         : Dataset[resolutionMIP1] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP1] : Elapsed time for evaluation of 424 events: 0.00312 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP1] : Create results for testing
                         : Dataset[resolutionMIP1] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP1] : Elapsed time for evaluation of 424 events: 0.00227 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation






    



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                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP1] : Create results for testing
                         : Dataset[resolutionMIP1] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP1] : Elapsed time for evaluation of 424 events: 0.00698 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00219 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00215 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0016 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00143 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00514 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00602 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP1       BDTRF12_16     :-9.27e-05 1.64e-05  0.00170 0.000710  |  1.327  1.310
                         : resolutionMIP1       BDTRF25_8      :-0.000115-3.03e-06  0.00169 0.000680  |  1.374  1.357
                         : resolutionMIP1       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP1       BDTRF12_16     :-1.85e-07-8.71e-06 0.000165 0.000134  |  1.923  1.962
                         : resolutionMIP1       BDTRF25_8      :-1.03e-05-3.13e-05 0.000436 0.000355  |  1.620  1.697
                         : resolutionMIP1       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP1   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP1   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR1] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR1] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR1] : Number of events in input trees
                         : Dataset[meanMIPeleR1] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR1] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR1] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR1] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR1] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR1] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR1] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR1] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR1] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR1] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR1] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR1] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0504 sec         
                         : Dataset[meanMIPeleR1] : Create results for training
                         : Dataset[meanMIPeleR1] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR1] : Elapsed time for evaluation of 424 events: 0.003 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR1/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR1/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0528 sec         
                         : Dataset[meanMIPeleR1] : Create results for training
                         : Dataset[meanMIPeleR1] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR1] : Elapsed time for evaluation of 424 events: 0.00167 sec       
                         : Create variable histograms






    



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                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR1/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR1/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00107 sec         
                         : Dataset[meanMIPeleR1] : Create results for training
                         : Dataset[meanMIPeleR1] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR1] : Elapsed time for evaluation of 424 events: 0.00624 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR1/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR1/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR1/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR1/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR1/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR1/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR1/weights/TMVARegression_KNN.weights.xml






    



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Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR1] : Create results for testing
                         : Dataset[meanMIPeleR1] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR1] : Elapsed time for evaluation of 424 events: 0.00301 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR1] : Create results for testing
                         : Dataset[meanMIPeleR1] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR1] : Elapsed time for evaluation of 424 events: 0.00156 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR1] : Create results for testing
                         : Dataset[meanMIPeleR1] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR1] : Elapsed time for evaluation of 424 events: 0.0066 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00231 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00277 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00186 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00117 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00547 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00537 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR1         BDTRF12_16     : -0.00163 0.000968   0.0539  0.00722  |  0.241  0.241
                         : meanMIPeleR1         BDTRF25_8      : -0.00188 0.000759   0.0548  0.00715  |  0.246  0.246
                         : meanMIPeleR1         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR1         BDTRF12_16     : 0.000222 0.000222  0.00162  0.00124  |  0.344  0.342
                         : meanMIPeleR1         BDTRF25_8      : 5.41e-05 0.000120  0.00260  0.00190  |  0.336  0.363
                         : meanMIPeleR1         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR1     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR1     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA1] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA1] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA1] : Number of events in input trees
                         : Dataset[tpcItsMatchA1] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA1] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA1] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA1] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA1] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA1] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA1] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA1] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA1] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA1] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA1] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA1] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0576 sec         
                         : Dataset[tpcItsMatchA1] : Create results for training
                         : Dataset[tpcItsMatchA1] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA1] : Elapsed time for evaluation of 424 events: 0.00534 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA1/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA1/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.132 sec         
                         : Dataset[tpcItsMatchA1] : Create results for training
                         : Dataset[tpcItsMatchA1] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA1] : Elapsed time for evaluation of 424 events: 0.00243 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA1/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA1/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000897 sec         
                         : Dataset[tpcItsMatchA1] : Create results for training
                         : Dataset[tpcItsMatchA1] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA1] : Elapsed time for evaluation of 424 events: 0.00523 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA1/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA1/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA1/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : Reading weight file: tpcItsMatchA1/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA1/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA1/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA1/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA1] : Create results for testing
                         : Dataset[tpcItsMatchA1] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA1] : Elapsed time for evaluation of 424 events: 0.00301 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA1] : Create results for testing
                         : Dataset[tpcItsMatchA1] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA1] : Elapsed time for evaluation of 424 events: 0.00171 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA1] : Create results for testing
                         : Dataset[tpcItsMatchA1] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA1] : Elapsed time for evaluation of 424 events: 0.00519 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00199 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00197 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00145 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00158 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00755 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00534 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA1        BDTRF12_16     :-0.000590-0.000732   0.0169   0.0102  |  1.279  1.258
                         : tpcItsMatchA1        BDTRF25_8      :-0.000724 -0.00157   0.0169   0.0102  |  1.249  1.234
                         : tpcItsMatchA1        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA1        BDTRF12_16     : 1.94e-05-4.92e-06  0.00205  0.00173  |  2.277  2.275
                         : tpcItsMatchA1        BDTRF25_8      :-0.000385-0.000490  0.00641  0.00562  |  1.810  1.806
                         : tpcItsMatchA1        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA1    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA1    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
DataSetInfo              : [resolutionMIP2] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP2] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP2] : Number of events in input trees
                         : Dataset[resolutionMIP2] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP2] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP2] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP2] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP2] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP2] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP2] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP2] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP2] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP2] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP2] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP2] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0575 sec         
                         : Dataset[resolutionMIP2] : Create results for training
                         : Dataset[resolutionMIP2] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP2] : Elapsed time for evaluation of 424 events: 0.00294 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP2/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : TMVA_RegressionOutput.root:/resolutionMIP2/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0672 sec         
                         : Dataset[resolutionMIP2] : Create results for training
                         : Dataset[resolutionMIP2] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP2] : Elapsed time for evaluation of 424 events: 0.00185 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP2/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/resolutionMIP2/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.001 sec         
                         : Dataset[resolutionMIP2] : Create results for training
                         : Dataset[resolutionMIP2] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP2] : Elapsed time for evaluation of 424 events: 0.00519 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP2/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP2/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: resolutionMIP2/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP2/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP2/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP2/weights/TMVARegression_BDTRF12_16.weights.xml






    



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Weight file	resolutionMIP2/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP2] : Create results for testing
                         : Dataset[resolutionMIP2] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP2] : Elapsed time for evaluation of 424 events: 0.0036 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP2] : Create results for testing
                         : Dataset[resolutionMIP2] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP2] : Elapsed time for evaluation of 424 events: 0.00212 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP2] : Create results for testing
                         : Dataset[resolutionMIP2] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP2] : Elapsed time for evaluation of 424 events: 0.0058 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00228 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00283 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00141 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00126 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00616 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00517 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP2       BDTRF12_16     :-9.90e-05 2.56e-05  0.00173 0.000669  |  1.332  1.316
                         : resolutionMIP2       BDTRF25_8      :-8.85e-05 2.73e-05  0.00159 0.000669  |  1.327  1.309
                         : resolutionMIP2       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP2       BDTRF12_16     : 2.09e-06 1.47e-06 0.000180 0.000140  |  1.892  1.922
                         : resolutionMIP2       BDTRF25_8      :-8.07e-06-1.44e-05 0.000397 0.000344  |  1.622  1.683
                         : resolutionMIP2       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP2   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP2   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR2] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR2] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR2] : Number of events in input trees
                         : Dataset[meanMIPeleR2] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR2] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR2] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR2] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR2] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR2] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR2] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR2] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR2] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR2] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR2] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR2] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0455 sec         
                         : Dataset[meanMIPeleR2] : Create results for training
                         : Dataset[meanMIPeleR2] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR2] : Elapsed time for evaluation of 424 events: 0.00313 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR2/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR2/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0443 sec         
                         : Dataset[meanMIPeleR2] : Create results for training
                         : Dataset[meanMIPeleR2] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR2] : Elapsed time for evaluation of 424 events: 0.00168 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR2/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/meanMIPeleR2/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000914 sec         
                         : Dataset[meanMIPeleR2] : Create results for training
                         : Dataset[meanMIPeleR2] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR2] : Elapsed time for evaluation of 424 events: 0.00556 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR2/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR2/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR2/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR2/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR2/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR2/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR2/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR2] : Create results for testing
                         : Dataset[meanMIPeleR2] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR2] : Elapsed time for evaluation of 424 events: 0.00271 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR2] : Create results for testing
                         : Dataset[meanMIPeleR2] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR2] : Elapsed time for evaluation of 424 events: 0.00148 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR2] : Create results for testing
                         : Dataset[meanMIPeleR2] : Evaluation of KNN on testing sample






    



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                         : Dataset[meanMIPeleR2] : Elapsed time for evaluation of 424 events: 0.00561 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00237 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00248 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00147 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0014 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00533 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00539 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR2         BDTRF12_16     : -0.00204 0.000600   0.0548  0.00716  |  0.244  0.244
                         : meanMIPeleR2         BDTRF25_8      : -0.00114 0.000631   0.0412  0.00595  |  0.214  0.216
                         : meanMIPeleR2         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR2         BDTRF12_16     :-1.53e-05 1.51e-05  0.00147  0.00105  |  0.354  0.359
                         : meanMIPeleR2         BDTRF25_8      : 0.000137 0.000255  0.00298  0.00246  |  0.317  0.329
                         : meanMIPeleR2         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR2     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR2     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA2] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA2] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA2] : Number of events in input trees
                         : Dataset[tpcItsMatchA2] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA2] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA2] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA2] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA2] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA2] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA2] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA2] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA2] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA2] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA2] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA2] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0561 sec         
                         : Dataset[tpcItsMatchA2] : Create results for training
                         : Dataset[tpcItsMatchA2] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA2] : Elapsed time for evaluation of 424 events: 0.00295 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA2/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA2/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0805 sec         
                         : Dataset[tpcItsMatchA2] : Create results for training
                         : Dataset[tpcItsMatchA2] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA2] : Elapsed time for evaluation of 424 events: 0.00213 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA2/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA2/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000678 sec         
                         : Dataset[tpcItsMatchA2] : Create results for training
                         : Dataset[tpcItsMatchA2] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA2] : Elapsed time for evaluation of 424 events: 0.00496 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA2/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA2/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA2/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : Reading weight file: tpcItsMatchA2/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA2/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA2/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA2/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA2] : Create results for testing
                         : Dataset[tpcItsMatchA2] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA2] : Elapsed time for evaluation of 424 events: 0.00281 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA2] : Create results for testing
                         : Dataset[tpcItsMatchA2] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA2] : Elapsed time for evaluation of 424 events: 0.00175 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA2] : Create results for testing
                         : Dataset[tpcItsMatchA2] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA2] : Elapsed time for evaluation of 424 events: 0.00572 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00208 sec       
                         : TestRegression (training)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00237 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00206 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00159 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00512 sec       
                         : TestRegression (training)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00705 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA2        BDTRF12_16     :-0.000971 -0.00121   0.0172   0.0102  |  1.255  1.255
                         : tpcItsMatchA2        BDTRF25_8      :-0.000737 -0.00172   0.0168   0.0104  |  1.180  1.150
                         : tpcItsMatchA2        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA2        BDTRF12_16     :-8.66e-05-0.000113  0.00259  0.00218  |  2.222  2.210
                         : tpcItsMatchA2        BDTRF25_8      :-0.000338-0.000568  0.00720  0.00635  |  1.722  1.709
                         : tpcItsMatchA2        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA2    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA2    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [resolutionMIP3] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP3] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP3] : Number of events in input trees
                         : Dataset[resolutionMIP3] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP3] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP3] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP3] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP3] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP3] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP3] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP3] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP3] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP3] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP3] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP3] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0515 sec         
                         : Dataset[resolutionMIP3] : Create results for training
                         : Dataset[resolutionMIP3] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP3] : Elapsed time for evaluation of 424 events: 0.00424 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP3/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP3/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.052 sec         
                         : Dataset[resolutionMIP3] : Create results for training
                         : Dataset[resolutionMIP3] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP3] : Elapsed time for evaluation of 424 events: 0.00193 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP3/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP3/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00076 sec         
                         : Dataset[resolutionMIP3] : Create results for training
                         : Dataset[resolutionMIP3] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP3] : Elapsed time for evaluation of 424 events: 0.00559 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP3/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP3/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: resolutionMIP3/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP3/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events






    



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Weight file	resolutionMIP3/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP3/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP3/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP3] : Create results for testing
                         : Dataset[resolutionMIP3] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP3] : Elapsed time for evaluation of 424 events: 0.00336 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP3] : Create results for testing
                         : Dataset[resolutionMIP3] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP3] : Elapsed time for evaluation of 424 events: 0.00205 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP3] : Create results for testing
                         : Dataset[resolutionMIP3] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP3] : Elapsed time for evaluation of 424 events: 0.00578 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00224 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00242 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00154 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00152 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00535 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00525 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP3       BDTRF12_16     :-0.000110 2.88e-06  0.00167 0.000677  |  1.355  1.347
                         : resolutionMIP3       BDTRF25_8      :-8.76e-05 2.43e-05  0.00170 0.000699  |  1.305  1.284
                         : resolutionMIP3       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP3       BDTRF12_16     :-1.02e-06-2.91e-06 0.000196 0.000142  |  1.908  1.934
                         : resolutionMIP3       BDTRF25_8      : 2.16e-06 2.80e-05 0.000459 0.000403  |  1.553  1.626
                         : resolutionMIP3       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP3   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP3   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR3] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR3] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR3] : Number of events in input trees
                         : Dataset[meanMIPeleR3] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR3] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR3] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR3] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR3] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR3] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR3] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR3] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR3] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR3] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR3] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR3] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0563 sec         
                         : Dataset[meanMIPeleR3] : Create results for training
                         : Dataset[meanMIPeleR3] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR3] : Elapsed time for evaluation of 424 events: 0.00293 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR3/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : TMVA_RegressionOutput.root:/meanMIPeleR3/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0674 sec         
                         : Dataset[meanMIPeleR3] : Create results for training
                         : Dataset[meanMIPeleR3] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR3] : Elapsed time for evaluation of 424 events: 0.00179 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR3/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/meanMIPeleR3/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000763 sec         
                         : Dataset[meanMIPeleR3] : Create results for training
                         : Dataset[meanMIPeleR3] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR3] : Elapsed time for evaluation of 424 events: 0.00517 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR3/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR3/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR3/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR3/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR3/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR3/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR3/weights/TMVARegression_KNN.weights.xml






    



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Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR3] : Create results for testing
                         : Dataset[meanMIPeleR3] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR3] : Elapsed time for evaluation of 424 events: 0.00338 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR3] : Create results for testing
                         : Dataset[meanMIPeleR3] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR3] : Elapsed time for evaluation of 424 events: 0.00205 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR3] : Create results for testing
                         : Dataset[meanMIPeleR3] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR3] : Elapsed time for evaluation of 424 events: 0.00617 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00244 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00279 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00125 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00122 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00524 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00599 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR3         BDTRF12_16     : -0.00193 0.000708   0.0548  0.00717  |  0.239  0.239
                         : meanMIPeleR3         BDTRF25_8      : -0.00190 0.000725   0.0544  0.00723  |  0.238  0.238
                         : meanMIPeleR3         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR3         BDTRF12_16     : 1.10e-05 3.68e-05  0.00103 0.000751  |  0.398  0.414
                         : meanMIPeleR3         BDTRF25_8      : 3.05e-05 7.76e-05  0.00226  0.00187  |  0.313  0.327
                         : meanMIPeleR3         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR3     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR3     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA3] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA3] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA3] : Number of events in input trees
                         : Dataset[tpcItsMatchA3] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA3] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA3] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA3] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA3] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA3] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA3] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA3] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA3] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA3] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA3] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA3] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0618 sec         
                         : Dataset[tpcItsMatchA3] : Create results for training
                         : Dataset[tpcItsMatchA3] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA3] : Elapsed time for evaluation of 424 events: 0.00324 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA3/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA3/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.099 sec         
                         : Dataset[tpcItsMatchA3] : Create results for training
                         : Dataset[tpcItsMatchA3] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA3] : Elapsed time for evaluation of 424 events: 0.00277 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA3/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA3/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000742 sec         
                         : Dataset[tpcItsMatchA3] : Create results for training
                         : Dataset[tpcItsMatchA3] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA3] : Elapsed time for evaluation of 424 events: 0.00484 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA3/weights/TMVARegression_KNN.weights.xml






    



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Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA3/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA3/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: tpcItsMatchA3/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA3/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA3/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA3/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA3] : Create results for testing
                         : Dataset[tpcItsMatchA3] : Evaluation of BDTRF25_8 on testing sample






    



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                         : Dataset[tpcItsMatchA3] : Elapsed time for evaluation of 424 events: 0.00317 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA3] : Create results for testing
                         : Dataset[tpcItsMatchA3] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA3] : Elapsed time for evaluation of 424 events: 0.00198 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA3] : Create results for testing
                         : Dataset[tpcItsMatchA3] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA3] : Elapsed time for evaluation of 424 events: 0.00632 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0028 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00242 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00157 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00169 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00617 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0061 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA3        BDTRF12_16     :-0.000525 -0.00117   0.0166   0.0100  |  1.276  1.229
                         : tpcItsMatchA3        BDTRF25_8      : -0.00115 -0.00200   0.0163  0.00995  |  1.184  1.160
                         : tpcItsMatchA3        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA3        BDTRF12_16     : 6.17e-05-3.71e-05  0.00284  0.00229  |  2.172  2.163
                         : tpcItsMatchA3        BDTRF25_8      :-0.000836 -0.00108  0.00614  0.00539  |  1.837  1.811
                         : tpcItsMatchA3        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA3    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA3    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [resolutionMIP4] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP4] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP4] : Number of events in input trees
                         : Dataset[resolutionMIP4] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP4] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP4] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP4] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP4] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP4] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP4] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP4] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP4] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP4] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP4] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP4] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0615 sec         
                         : Dataset[resolutionMIP4] : Create results for training
                         : Dataset[resolutionMIP4] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP4] : Elapsed time for evaluation of 424 events: 0.00346 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP4/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP4/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0493 sec         
                         : Dataset[resolutionMIP4] : Create results for training
                         : Dataset[resolutionMIP4] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP4] : Elapsed time for evaluation of 424 events: 0.00202 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP4/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP4/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00087 sec         
                         : Dataset[resolutionMIP4] : Create results for training
                         : Dataset[resolutionMIP4] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP4] : Elapsed time for evaluation of 424 events: 0.0054 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP4/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP4/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: resolutionMIP4/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP4/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP4/weights/TMVARegression_BDTRF25_8.weights.xml






    



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Weight file	resolutionMIP4/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP4/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP4] : Create results for testing
                         : Dataset[resolutionMIP4] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP4] : Elapsed time for evaluation of 424 events: 0.00351 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP4] : Create results for testing
                         : Dataset[resolutionMIP4] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP4] : Elapsed time for evaluation of 424 events: 0.00244 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP4] : Create results for testing
                         : Dataset[resolutionMIP4] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP4] : Elapsed time for evaluation of 424 events: 0.00612 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00233 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00298 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00142 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00222 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00525 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00502 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP4       BDTRF12_16     :-6.36e-05 1.69e-05  0.00131 0.000658  |  1.347  1.345
                         : resolutionMIP4       BDTRF25_8      :-0.000139-1.47e-05  0.00174 0.000656  |  1.364  1.345
                         : resolutionMIP4       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP4       BDTRF12_16     :-6.48e-06-1.20e-06 0.000219 0.000156  |  1.834  1.875
                         : resolutionMIP4       BDTRF25_8      :-1.95e-05-6.50e-06 0.000436 0.000385  |  1.657  1.700
                         : resolutionMIP4       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP4   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP4   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR4] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR4] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR4] : Number of events in input trees
                         : Dataset[meanMIPeleR4] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR4] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR4] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR4] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR4] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR4] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR4] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR4] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR4] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR4] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR4] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR4] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0543 sec         
                         : Dataset[meanMIPeleR4] : Create results for training
                         : Dataset[meanMIPeleR4] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR4] : Elapsed time for evaluation of 424 events: 0.00293 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR4/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR4/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0624 sec         
                         : Dataset[meanMIPeleR4] : Create results for training
                         : Dataset[meanMIPeleR4] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR4] : Elapsed time for evaluation of 424 events: 0.00189 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR4/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR4/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00084 sec         
                         : Dataset[meanMIPeleR4] : Create results for training
                         : Dataset[meanMIPeleR4] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR4] : Elapsed time for evaluation of 424 events: 0.00559 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR4/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR4/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : Reading weight file: meanMIPeleR4/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR4/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR4/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR4/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR4/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR4] : Create results for testing
                         : Dataset[meanMIPeleR4] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR4] : Elapsed time for evaluation of 424 events: 0.00331 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR4] : Create results for testing
                         : Dataset[meanMIPeleR4] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR4] : Elapsed time for evaluation of 424 events: 0.002 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR4] : Create results for testing
                         : Dataset[meanMIPeleR4] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR4] : Elapsed time for evaluation of 424 events: 0.00675 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00299 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00347 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00133 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00135 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00579 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00564 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR4         BDTRF12_16     : -0.00141 0.000352   0.0527  0.00713  |  0.247  0.247
                         : meanMIPeleR4         BDTRF25_8      : -0.00195 0.000696   0.0548  0.00723  |  0.227  0.227
                         : meanMIPeleR4         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR4         BDTRF12_16     :-6.86e-05-7.63e-05  0.00101 0.000753  |  0.377  0.388
                         : meanMIPeleR4         BDTRF25_8      : 5.76e-06 0.000148  0.00284  0.00231  |  0.318  0.340
                         : meanMIPeleR4         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR4     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR4     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
DataSetInfo              : [tpcItsMatchA4] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA4] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 






    



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DataSetFactory           : [tpcItsMatchA4] : Number of events in input trees
                         : Dataset[tpcItsMatchA4] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA4] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA4] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA4] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA4] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA4] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA4] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA4] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA4] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA4] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA4] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA4] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.049 sec         
                         : Dataset[tpcItsMatchA4] : Create results for training
                         : Dataset[tpcItsMatchA4] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA4] : Elapsed time for evaluation of 424 events: 0.00295 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA4/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : TMVA_RegressionOutput.root:/tpcItsMatchA4/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0746 sec         
                         : Dataset[tpcItsMatchA4] : Create results for training
                         : Dataset[tpcItsMatchA4] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA4] : Elapsed time for evaluation of 424 events: 0.00217 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA4/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/tpcItsMatchA4/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000738 sec         
                         : Dataset[tpcItsMatchA4] : Create results for training
                         : Dataset[tpcItsMatchA4] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA4] : Elapsed time for evaluation of 424 events: 0.00515 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA4/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA4/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA4/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: tpcItsMatchA4/weights/TMVARegression_KNN.weights.xml






    



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                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA4/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA4/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA4/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA4] : Create results for testing
                         : Dataset[tpcItsMatchA4] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA4] : Elapsed time for evaluation of 424 events: 0.00319 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA4] : Create results for testing
                         : Dataset[tpcItsMatchA4] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA4] : Elapsed time for evaluation of 424 events: 0.00191 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA4] : Create results for testing
                         : Dataset[tpcItsMatchA4] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA4] : Elapsed time for evaluation of 424 events: 0.00673 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00273 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00239 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00153 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00211 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00516 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00486 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA4        BDTRF12_16     :-7.12e-05-0.000409   0.0166  0.00976  |  1.281  1.314
                         : tpcItsMatchA4        BDTRF25_8      : -0.00112 -0.00221   0.0183   0.0105  |  1.164  1.178
                         : tpcItsMatchA4        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA4        BDTRF12_16     :-1.42e-05-6.43e-05  0.00235  0.00201  |  2.230  2.250
                         : tpcItsMatchA4        BDTRF25_8      :-0.000922 -0.00141  0.00709  0.00629  |  1.707  1.665
                         : tpcItsMatchA4        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA4    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA4    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [resolutionMIP5] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP5] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP5] : Number of events in input trees
                         : Dataset[resolutionMIP5] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP5] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP5] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP5] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP5] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP5] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP5] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP5] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP5] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP5] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP5] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP5] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0552 sec         
                         : Dataset[resolutionMIP5] : Create results for training
                         : Dataset[resolutionMIP5] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP5] : Elapsed time for evaluation of 424 events: 0.00491 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP5/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP5/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0615 sec         
                         : Dataset[resolutionMIP5] : Create results for training
                         : Dataset[resolutionMIP5] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP5] : Elapsed time for evaluation of 424 events: 0.00238 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP5/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP5/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00132 sec         
                         : Dataset[resolutionMIP5] : Create results for training
                         : Dataset[resolutionMIP5] : Evaluation of KNN on training sample






    



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                         : Dataset[resolutionMIP5] : Elapsed time for evaluation of 424 events: 0.00772 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP5/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP5/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: resolutionMIP5/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP5/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP5/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP5/weights/TMVARegression_BDTRF12_16.weights.xml






    



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Weight file	resolutionMIP5/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP5] : Create results for testing
                         : Dataset[resolutionMIP5] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP5] : Elapsed time for evaluation of 424 events: 0.00353 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP5] : Create results for testing
                         : Dataset[resolutionMIP5] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP5] : Elapsed time for evaluation of 424 events: 0.00252 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP5] : Create results for testing
                         : Dataset[resolutionMIP5] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP5] : Elapsed time for evaluation of 424 events: 0.00849 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00516 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00274 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00227 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00282 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00566 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00541 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP5       BDTRF12_16     :-9.00e-05-1.83e-06  0.00174 0.000664  |  1.406  1.380
                         : resolutionMIP5       BDTRF25_8      :-0.000108 5.46e-06  0.00174 0.000690  |  1.326  1.311
                         : resolutionMIP5       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP5       BDTRF12_16     : 5.13e-07 2.81e-06 0.000271 0.000201  |  1.775  1.856
                         : resolutionMIP5       BDTRF25_8      :-4.49e-06-7.53e-07 0.000444 0.000388  |  1.618  1.698
                         : resolutionMIP5       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP5   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP5   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR5] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR5] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR5] : Number of events in input trees
                         : Dataset[meanMIPeleR5] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR5] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR5] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR5] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR5] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR5] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR5] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR5] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR5] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR5] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR5] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR5] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0514 sec         
                         : Dataset[meanMIPeleR5] : Create results for training
                         : Dataset[meanMIPeleR5] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR5] : Elapsed time for evaluation of 424 events: 0.00355 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR5/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR5/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0664 sec         
                         : Dataset[meanMIPeleR5] : Create results for training
                         : Dataset[meanMIPeleR5] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR5] : Elapsed time for evaluation of 424 events: 0.00238 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR5/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR5/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00082 sec         
                         : Dataset[meanMIPeleR5] : Create results for training
                         : Dataset[meanMIPeleR5] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR5] : Elapsed time for evaluation of 424 events: 0.00576 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR5/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR5/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR5/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : Reading weight file: meanMIPeleR5/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR5/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR5/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR5/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR5] : Create results for testing
                         : Dataset[meanMIPeleR5] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR5] : Elapsed time for evaluation of 424 events: 0.00338 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR5] : Create results for testing
                         : Dataset[meanMIPeleR5] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR5] : Elapsed time for evaluation of 424 events: 0.00216 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR5] : Create results for testing
                         : Dataset[meanMIPeleR5] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR5] : Elapsed time for evaluation of 424 events: 0.00575 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00257 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00268 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0017 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00146 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00688 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00578 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR5         BDTRF12_16     : -0.00207 0.000577   0.0549  0.00723  |  0.247  0.247
                         : meanMIPeleR5         BDTRF25_8      : -0.00175 0.000877   0.0545  0.00727  |  0.227  0.227
                         : meanMIPeleR5         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR5         BDTRF12_16     : 6.65e-06-1.36e-05 0.000872 0.000667  |  0.398  0.400
                         : meanMIPeleR5         BDTRF25_8      : 9.63e-05 0.000197  0.00314  0.00265  |  0.285  0.295
                         : meanMIPeleR5         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR5     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR5     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
DataSetInfo              : [tpcItsMatchA5] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA5] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA5] : Number of events in input trees
                         : Dataset[tpcItsMatchA5] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA5] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA5] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA5] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA5] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA5] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA5] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA5] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA5] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA5] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA5] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA5] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0669 sec         
                         : Dataset[tpcItsMatchA5] : Create results for training
                         : Dataset[tpcItsMatchA5] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA5] : Elapsed time for evaluation of 424 events: 0.00339 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA5/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA5/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0788 sec         
                         : Dataset[tpcItsMatchA5] : Create results for training
                         : Dataset[tpcItsMatchA5] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA5] : Elapsed time for evaluation of 424 events: 0.00214 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA5/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA5/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.0011 sec         
                         : Dataset[tpcItsMatchA5] : Create results for training
                         : Dataset[tpcItsMatchA5] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA5] : Elapsed time for evaluation of 424 events: 0.00592 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA5/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA5/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : Reading weight file: tpcItsMatchA5/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: tpcItsMatchA5/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA5/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA5/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA5/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA5] : Create results for testing
                         : Dataset[tpcItsMatchA5] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA5] : Elapsed time for evaluation of 424 events: 0.00439 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation






    



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                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA5] : Create results for testing
                         : Dataset[tpcItsMatchA5] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA5] : Elapsed time for evaluation of 424 events: 0.00279 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA5] : Create results for testing
                         : Dataset[tpcItsMatchA5] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA5] : Elapsed time for evaluation of 424 events: 0.00661 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00317 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00362 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00177 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00155 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00608 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00628 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA5        BDTRF12_16     :-0.000216-0.000664   0.0162  0.00956  |  1.297  1.301
                         : tpcItsMatchA5        BDTRF25_8      : -0.00117 -0.00215   0.0173  0.00987  |  1.176  1.164
                         : tpcItsMatchA5        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA5        BDTRF12_16     :-9.25e-05-5.71e-05  0.00294  0.00236  |  2.135  2.153
                         : tpcItsMatchA5        BDTRF25_8      :-0.000777 -0.00126  0.00630  0.00576  |  1.786  1.752
                         : tpcItsMatchA5        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA5    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA5    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [resolutionMIP6] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP6] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP6] : Number of events in input trees
                         : Dataset[resolutionMIP6] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP6] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP6] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP6] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP6] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP6] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP6] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP6] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP6] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP6] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP6] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP6] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0667 sec         
                         : Dataset[resolutionMIP6] : Create results for training
                         : Dataset[resolutionMIP6] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP6] : Elapsed time for evaluation of 424 events: 0.00335 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP6/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP6/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0727 sec         
                         : Dataset[resolutionMIP6] : Create results for training
                         : Dataset[resolutionMIP6] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP6] : Elapsed time for evaluation of 424 events: 0.00294 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP6/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP6/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00152 sec         
                         : Dataset[resolutionMIP6] : Create results for training
                         : Dataset[resolutionMIP6] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP6] : Elapsed time for evaluation of 424 events: 0.00521 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP6/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP6/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : Reading weight file: resolutionMIP6/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP6/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP6/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP6/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP6/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP6] : Create results for testing
                         : Dataset[resolutionMIP6] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP6] : Elapsed time for evaluation of 424 events: 0.00346 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP6] : Create results for testing
                         : Dataset[resolutionMIP6] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP6] : Elapsed time for evaluation of 424 events: 0.00212 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP6] : Create results for testing
                         : Dataset[resolutionMIP6] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP6] : Elapsed time for evaluation of 424 events: 0.00588 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00251 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00373 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00159 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00147 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00489 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00466 sec       






    



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TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP6       BDTRF12_16     :-0.000108 5.62e-06  0.00170 0.000653  |  1.399  1.385
                         : resolutionMIP6       BDTRF25_8      :-6.11e-05 5.01e-05  0.00170 0.000686  |  1.320  1.299
                         : resolutionMIP6       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP6       BDTRF12_16     :-8.44e-06-4.99e-06 0.000152 0.000120  |  1.896  1.922
                         : resolutionMIP6       BDTRF25_8      : 2.70e-06-2.53e-06 0.000419 0.000353  |  1.595  1.694
                         : resolutionMIP6       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP6   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP6   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
DataSetInfo              : [meanMIPeleR6] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR6] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR6] : Number of events in input trees
                         : Dataset[meanMIPeleR6] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR6] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR6] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR6] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR6] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR6] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR6] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR6] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR6] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR6] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR6] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR6] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0495 sec         
                         : Dataset[meanMIPeleR6] : Create results for training
                         : Dataset[meanMIPeleR6] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR6] : Elapsed time for evaluation of 424 events: 0.00298 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR6/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : TMVA_RegressionOutput.root:/meanMIPeleR6/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0545 sec         
                         : Dataset[meanMIPeleR6] : Create results for training
                         : Dataset[meanMIPeleR6] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR6] : Elapsed time for evaluation of 424 events: 0.00191 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR6/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/meanMIPeleR6/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000774 sec         
                         : Dataset[meanMIPeleR6] : Create results for training
                         : Dataset[meanMIPeleR6] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR6] : Elapsed time for evaluation of 424 events: 0.00609 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR6/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR6/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR6/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR6/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR6/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR6/weights/TMVARegression_BDTRF12_16.weights.xml






    



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Weight file	meanMIPeleR6/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR6] : Create results for testing
                         : Dataset[meanMIPeleR6] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR6] : Elapsed time for evaluation of 424 events: 0.00356 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR6] : Create results for testing
                         : Dataset[meanMIPeleR6] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR6] : Elapsed time for evaluation of 424 events: 0.00222 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR6] : Create results for testing
                         : Dataset[meanMIPeleR6] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR6] : Elapsed time for evaluation of 424 events: 0.00721 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00348 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00268 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00154 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00137 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00513 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00571 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR6         BDTRF12_16     : -0.00213 0.000511   0.0549  0.00724  |  0.244  0.244
                         : meanMIPeleR6         BDTRF25_8      : -0.00172 0.000910   0.0545  0.00718  |  0.243  0.243
                         : meanMIPeleR6         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR6         BDTRF12_16     :-3.14e-05-3.32e-05 0.000787 0.000609  |  0.402  0.406
                         : meanMIPeleR6         BDTRF25_8      : 0.000175 0.000311  0.00293  0.00237  |  0.313  0.332
                         : meanMIPeleR6         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR6     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR6     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA6] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA6] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA6] : Number of events in input trees
                         : Dataset[tpcItsMatchA6] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA6] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA6] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA6] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA6] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA6] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA6] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA6] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA6] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA6] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA6] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA6] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0498 sec         
                         : Dataset[tpcItsMatchA6] : Create results for training
                         : Dataset[tpcItsMatchA6] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA6] : Elapsed time for evaluation of 424 events: 0.00325 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA6/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA6/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0738 sec         
                         : Dataset[tpcItsMatchA6] : Create results for training
                         : Dataset[tpcItsMatchA6] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA6] : Elapsed time for evaluation of 424 events: 0.00294 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA6/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA6/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000804 sec         
                         : Dataset[tpcItsMatchA6] : Create results for training
                         : Dataset[tpcItsMatchA6] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA6] : Elapsed time for evaluation of 424 events: 0.00502 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA6/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA6/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA6/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : Reading weight file: tpcItsMatchA6/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA6/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA6/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA6/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA6] : Create results for testing
                         : Dataset[tpcItsMatchA6] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA6] : Elapsed time for evaluation of 424 events: 0.00321 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA6] : Create results for testing
                         : Dataset[tpcItsMatchA6] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA6] : Elapsed time for evaluation of 424 events: 0.00213 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA6] : Create results for testing
                         : Dataset[tpcItsMatchA6] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA6] : Elapsed time for evaluation of 424 events: 0.00584 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00234 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00308 sec       






    



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TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00173 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00176 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00533 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00475 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA6        BDTRF12_16     :-0.000414-0.000718   0.0177   0.0103  |  1.252  1.246
                         : tpcItsMatchA6        BDTRF25_8      : -0.00142 -0.00215   0.0169   0.0103  |  1.188  1.190
                         : tpcItsMatchA6        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA6        BDTRF12_16     : 6.02e-05-5.68e-05  0.00252  0.00202  |  2.207  2.200
                         : tpcItsMatchA6        BDTRF25_8      :-0.000674 -0.00105  0.00639  0.00575  |  1.754  1.720
                         : tpcItsMatchA6        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA6    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA6    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
DataSetInfo              : [resolutionMIP7] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP7] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP7] : Number of events in input trees
                         : Dataset[resolutionMIP7] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP7] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP7] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP7] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP7] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP7] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP7] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP7] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP7] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP7] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP7] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP7] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.068 sec         
                         : Dataset[resolutionMIP7] : Create results for training
                         : Dataset[resolutionMIP7] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP7] : Elapsed time for evaluation of 424 events: 0.00465 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP7/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : TMVA_RegressionOutput.root:/resolutionMIP7/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0872 sec         
                         : Dataset[resolutionMIP7] : Create results for training
                         : Dataset[resolutionMIP7] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP7] : Elapsed time for evaluation of 424 events: 0.00333 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP7/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP7/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000811 sec         
                         : Dataset[resolutionMIP7] : Create results for training
                         : Dataset[resolutionMIP7] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP7] : Elapsed time for evaluation of 424 events: 0.00536 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP7/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP7/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : Reading weight file: resolutionMIP7/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP7/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP7/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP7/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP7/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP7] : Create results for testing
                         : Dataset[resolutionMIP7] : Evaluation of BDTRF25_8 on testing sample






    



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                         : Dataset[resolutionMIP7] : Elapsed time for evaluation of 424 events: 0.00395 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP7] : Create results for testing
                         : Dataset[resolutionMIP7] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP7] : Elapsed time for evaluation of 424 events: 0.00358 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP7] : Create results for testing
                         : Dataset[resolutionMIP7] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP7] : Elapsed time for evaluation of 424 events: 0.00629 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00328 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0046 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00161 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00147 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00612 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0057 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP7       BDTRF12_16     :-9.35e-05 2.19e-05  0.00177 0.000689  |  1.381  1.370
                         : resolutionMIP7       BDTRF25_8      :-9.16e-05 2.30e-05  0.00173 0.000677  |  1.350  1.329
                         : resolutionMIP7       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP7       BDTRF12_16     :-5.74e-07-3.12e-06 0.000108 8.52e-05  |  2.039  2.053
                         : resolutionMIP7       BDTRF25_8      :-4.44e-06-1.56e-05 0.000373 0.000321  |  1.679  1.723
                         : resolutionMIP7       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP7   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP7   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR7] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR7] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR7] : Number of events in input trees
                         : Dataset[meanMIPeleR7] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR7] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR7] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR7] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR7] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR7] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR7] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR7] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR7] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR7] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR7] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR7] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0578 sec         
                         : Dataset[meanMIPeleR7] : Create results for training
                         : Dataset[meanMIPeleR7] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR7] : Elapsed time for evaluation of 424 events: 0.00304 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR7/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR7/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0578 sec         
                         : Dataset[meanMIPeleR7] : Create results for training
                         : Dataset[meanMIPeleR7] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR7] : Elapsed time for evaluation of 424 events: 0.002 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR7/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR7/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000753 sec         
                         : Dataset[meanMIPeleR7] : Create results for training
                         : Dataset[meanMIPeleR7] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR7] : Elapsed time for evaluation of 424 events: 0.00521 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR7/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR7/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR7/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR7/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR7/weights/TMVARegression_BDTRF25_8.weights.xml






    



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Weight file	meanMIPeleR7/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR7/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR7] : Create results for testing
                         : Dataset[meanMIPeleR7] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR7] : Elapsed time for evaluation of 424 events: 0.0049 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR7] : Create results for testing
                         : Dataset[meanMIPeleR7] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR7] : Elapsed time for evaluation of 424 events: 0.00201 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR7] : Create results for testing
                         : Dataset[meanMIPeleR7] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR7] : Elapsed time for evaluation of 424 events: 0.00572 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00297 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00283 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00177 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0018 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0051 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00576 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR7         BDTRF12_16     : -0.00183 0.000818   0.0550  0.00732  |  0.257  0.257
                         : meanMIPeleR7         BDTRF25_8      : -0.00175 0.000888   0.0547  0.00723  |  0.240  0.240
                         : meanMIPeleR7         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR7         BDTRF12_16     : 3.49e-06-3.71e-05  0.00166  0.00120  |  0.330  0.358
                         : meanMIPeleR7         BDTRF25_8      : 0.000226 0.000216  0.00257  0.00199  |  0.329  0.349
                         : meanMIPeleR7         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR7     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR7     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA7] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA7] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA7] : Number of events in input trees
                         : Dataset[tpcItsMatchA7] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA7] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA7] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA7] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA7] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA7] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA7] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA7] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA7] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA7] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA7] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA7] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0595 sec         
                         : Dataset[tpcItsMatchA7] : Create results for training
                         : Dataset[tpcItsMatchA7] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA7] : Elapsed time for evaluation of 424 events: 0.0036 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA7/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA7/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0792 sec         
                         : Dataset[tpcItsMatchA7] : Create results for training
                         : Dataset[tpcItsMatchA7] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA7] : Elapsed time for evaluation of 424 events: 0.00214 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA7/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/tpcItsMatchA7/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00115 sec         
                         : Dataset[tpcItsMatchA7] : Create results for training
                         : Dataset[tpcItsMatchA7] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA7] : Elapsed time for evaluation of 424 events: 0.00571 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA7/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA7/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA7/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: tpcItsMatchA7/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA7/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA7/weights/TMVARegression_BDTRF12_16.weights.xml






    



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Weight file	tpcItsMatchA7/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA7] : Create results for testing
                         : Dataset[tpcItsMatchA7] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA7] : Elapsed time for evaluation of 424 events: 0.00347 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA7] : Create results for testing
                         : Dataset[tpcItsMatchA7] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA7] : Elapsed time for evaluation of 424 events: 0.00233 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA7] : Create results for testing
                         : Dataset[tpcItsMatchA7] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA7] : Elapsed time for evaluation of 424 events: 0.00798 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00343 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0034 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00215 sec       
                         : TestRegression (training)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00177 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00635 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00596 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA7        BDTRF12_16     : 0.000223-0.000912   0.0185   0.0102  |  1.285  1.304
                         : tpcItsMatchA7        BDTRF25_8      :-0.000978 -0.00196   0.0167   0.0103  |  1.214  1.215
                         : tpcItsMatchA7        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA7        BDTRF12_16     : 2.72e-05-1.95e-05  0.00268  0.00212  |  2.183  2.200
                         : tpcItsMatchA7        BDTRF25_8      : -0.00104 -0.00139  0.00740  0.00667  |  1.727  1.685
                         : tpcItsMatchA7        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA7    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA7    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [resolutionMIP8] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP8] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP8] : Number of events in input trees
                         : Dataset[resolutionMIP8] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP8] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP8] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP8] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP8] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP8] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP8] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP8] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP8] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP8] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP8] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP8] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0596 sec         
                         : Dataset[resolutionMIP8] : Create results for training
                         : Dataset[resolutionMIP8] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP8] : Elapsed time for evaluation of 424 events: 0.00343 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP8/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP8/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.056 sec         
                         : Dataset[resolutionMIP8] : Create results for training
                         : Dataset[resolutionMIP8] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP8] : Elapsed time for evaluation of 424 events: 0.00215 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP8/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP8/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000749 sec         
                         : Dataset[resolutionMIP8] : Create results for training
                         : Dataset[resolutionMIP8] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP8] : Elapsed time for evaluation of 424 events: 0.00555 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP8/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP8/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : Reading weight file: resolutionMIP8/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP8/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP8/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP8/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP8/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP8] : Create results for testing
                         : Dataset[resolutionMIP8] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP8] : Elapsed time for evaluation of 424 events: 0.00341 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP8] : Create results for testing
                         : Dataset[resolutionMIP8] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP8] : Elapsed time for evaluation of 424 events: 0.00204 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP8] : Create results for testing
                         : Dataset[resolutionMIP8] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP8] : Elapsed time for evaluation of 424 events: 0.00756 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events






    



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                         : Elapsed time for evaluation of 424 events: 0.00313 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00295 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00294 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0021 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00641 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0057 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP8       BDTRF12_16     :-2.28e-06 1.15e-05  0.00110 0.000578  |  1.348  1.373
                         : resolutionMIP8       BDTRF25_8      :-0.000111-6.71e-06  0.00157 0.000705  |  1.333  1.311
                         : resolutionMIP8       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP8       BDTRF12_16     : 8.78e-06 8.64e-06 0.000295 0.000225  |  1.731  1.777
                         : resolutionMIP8       BDTRF25_8      :-2.71e-05-3.97e-05 0.000492 0.000467  |  1.553  1.583
                         : resolutionMIP8       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP8   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP8   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR8] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR8] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR8] : Number of events in input trees
                         : Dataset[meanMIPeleR8] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR8] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR8] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR8] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR8] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR8] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR8] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR8] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR8] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR8] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR8] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR8] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0586 sec         
                         : Dataset[meanMIPeleR8] : Create results for training
                         : Dataset[meanMIPeleR8] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR8] : Elapsed time for evaluation of 424 events: 0.00306 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR8/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR8/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 






    



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                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please
                         : Elapsed time for training with 424 events: 0.0562 sec         
                         : Dataset[meanMIPeleR8] : Create results for training
                         : Dataset[meanMIPeleR8] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR8] : Elapsed time for evaluation of 424 events: 0.00184 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR8/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR8/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000851 sec         
                         : Dataset[meanMIPeleR8] : Create results for training
                         : Dataset[meanMIPeleR8] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR8] : Elapsed time for evaluation of 424 events: 0.00474 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR8/weights/TMVARegression_KNN.weights.xml






    



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Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR8/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR8/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR8/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR8/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR8/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR8/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR8] : Create results for testing
                         : Dataset[meanMIPeleR8] : Evaluation of BDTRF25_8 on testing sample






    



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                         : Dataset[meanMIPeleR8] : Elapsed time for evaluation of 424 events: 0.004 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR8] : Create results for testing
                         : Dataset[meanMIPeleR8] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR8] : Elapsed time for evaluation of 424 events: 0.00197 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR8] : Create results for testing
                         : Dataset[meanMIPeleR8] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR8] : Elapsed time for evaluation of 424 events: 0.00667 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00328 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00335 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0018 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0015 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0055 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00576 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR8         BDTRF12_16     : -0.00195 0.000695   0.0549  0.00716  |  0.237  0.237
                         : meanMIPeleR8         BDTRF25_8      : -0.00153 0.000807   0.0486  0.00716  |  0.227  0.227
                         : meanMIPeleR8         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR8         BDTRF12_16     :-1.54e-05 2.28e-06  0.00128 0.000947  |  0.360  0.380
                         : meanMIPeleR8         BDTRF25_8      : 0.000107 0.000169  0.00296  0.00247  |  0.331  0.349
                         : meanMIPeleR8         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR8     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR8     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA8] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA8] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA8] : Number of events in input trees
                         : Dataset[tpcItsMatchA8] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA8] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA8] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA8] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA8] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA8] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA8] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA8] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA8] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA8] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA8] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA8] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0624 sec         
                         : Dataset[tpcItsMatchA8] : Create results for training
                         : Dataset[tpcItsMatchA8] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA8] : Elapsed time for evaluation of 424 events: 0.0042 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA8/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA8/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0817 sec         
                         : Dataset[tpcItsMatchA8] : Create results for training
                         : Dataset[tpcItsMatchA8] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA8] : Elapsed time for evaluation of 424 events: 0.00279 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA8/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA8/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events






    



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                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.0013 sec         
                         : Dataset[tpcItsMatchA8] : Create results for training
                         : Dataset[tpcItsMatchA8] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA8] : Elapsed time for evaluation of 424 events: 0.00583 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA8/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA8/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA8/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: tpcItsMatchA8/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA8/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	tpcItsMatchA8/weights/TMVARegression_BDTRF12_16.weights.xml






    



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Weight file	tpcItsMatchA8/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA8] : Create results for testing
                         : Dataset[tpcItsMatchA8] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA8] : Elapsed time for evaluation of 424 events: 0.00437 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA8] : Create results for testing
                         : Dataset[tpcItsMatchA8] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA8] : Elapsed time for evaluation of 424 events: 0.0022 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA8] : Create results for testing
                         : Dataset[tpcItsMatchA8] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA8] : Elapsed time for evaluation of 424 events: 0.00583 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0033 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00296 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00192 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00163 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0056 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00683 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA8        BDTRF12_16     : 0.000538-0.000327   0.0181   0.0103  |  1.219  1.218
                         : tpcItsMatchA8        BDTRF25_8      :-0.000691 -0.00137   0.0172   0.0103  |  1.184  1.191
                         : tpcItsMatchA8        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA8        BDTRF12_16     :-2.77e-05-4.22e-05  0.00246  0.00200  |  2.208  2.234
                         : tpcItsMatchA8        BDTRF25_8      :-0.000306-0.000426  0.00634  0.00584  |  1.780  1.789
                         : tpcItsMatchA8        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA8    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA8    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [resolutionMIP9] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[resolutionMIP9] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [resolutionMIP9] : Number of events in input trees
                         : Dataset[resolutionMIP9] :     Regression requirement: "interactionRate>0"
                         : Dataset[resolutionMIP9] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[resolutionMIP9] :     Regression      -- efficiency             : 0.99765
                         : Dataset[resolutionMIP9] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[resolutionMIP9] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[resolutionMIP9] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[resolutionMIP9] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[resolutionMIP9] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[resolutionMIP9] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[resolutionMIP9] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[resolutionMIP9] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [resolutionMIP9] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :   resolutionMIP:         0.074520        0.0025165   [         0.069241          0.10270 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : qmaxQASum       : 4.724e-01
                         :    2 : interactionRate : 3.321e-01
                         :    3 : qmaxQASumR      : 9.835e-02
                         :    4 : bz0             : 7.688e-02
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0642 sec         
                         : Dataset[resolutionMIP9] : Create results for training
                         : Dataset[resolutionMIP9] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[resolutionMIP9] : Elapsed time for evaluation of 424 events: 0.00571 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP9/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP9/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0629 sec         
                         : Dataset[resolutionMIP9] : Create results for training
                         : Dataset[resolutionMIP9] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[resolutionMIP9] : Elapsed time for evaluation of 424 events: 0.00261 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP9/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/resolutionMIP9/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.00139 sec         
                         : Dataset[resolutionMIP9] : Create results for training
                         : Dataset[resolutionMIP9] : Evaluation of KNN on training sample
                         : Dataset[resolutionMIP9] : Elapsed time for evaluation of 424 events: 0.00527 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: resolutionMIP9/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: resolutionMIP9/weights/TMVARegression_BDTRF25_8.weights.xml






    



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                         : Reading weight file: resolutionMIP9/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: resolutionMIP9/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	resolutionMIP9/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	resolutionMIP9/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	resolutionMIP9/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[resolutionMIP9] : Create results for testing
                         : Dataset[resolutionMIP9] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[resolutionMIP9] : Elapsed time for evaluation of 424 events: 0.00461 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[resolutionMIP9] : Create results for testing
                         : Dataset[resolutionMIP9] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[resolutionMIP9] : Elapsed time for evaluation of 424 events: 0.00387 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[resolutionMIP9] : Create results for testing
                         : Dataset[resolutionMIP9] : Evaluation of KNN on testing sample
                         : Dataset[resolutionMIP9] : Elapsed time for evaluation of 424 events: 0.00807 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00397 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00401 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00159 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00165 sec       






    



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TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00791 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00541 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :   resolutionMIP:         0.074494        0.0026699   [         0.069357          0.10280 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP9       BDTRF12_16     :-8.04e-05-4.81e-06  0.00136 0.000621  |  1.400  1.395
                         : resolutionMIP9       BDTRF25_8      :-6.75e-05 4.09e-05  0.00166 0.000681  |  1.361  1.340
                         : resolutionMIP9       KNN            : 2.95e-05 0.000113  0.00200 0.000909  |  0.997  0.969
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : resolutionMIP9       BDTRF12_16     :-8.88e-07 1.55e-06 0.000228 0.000166  |  1.811  1.881
                         : resolutionMIP9       BDTRF25_8      : 9.55e-06 1.16e-05 0.000404 0.000351  |  1.616  1.684
                         : resolutionMIP9       KNN            : 1.68e-05 9.13e-05  0.00182 0.000889  |  1.000  0.975
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:resolutionMIP9   : Created tree 'TestTree' with 424 events
                         : 
Dataset:resolutionMIP9   : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [meanMIPeleR9] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[meanMIPeleR9] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [meanMIPeleR9] : Number of events in input trees
                         : Dataset[meanMIPeleR9] :     Regression requirement: "interactionRate>0"
                         : Dataset[meanMIPeleR9] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[meanMIPeleR9] :     Regression      -- efficiency             : 0.99765
                         : Dataset[meanMIPeleR9] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[meanMIPeleR9] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[meanMIPeleR9] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[meanMIPeleR9] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[meanMIPeleR9] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[meanMIPeleR9] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[meanMIPeleR9] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[meanMIPeleR9] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [meanMIPeleR9] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :     meanMIPeleR:           1.6959         0.055219   [           1.6678           2.8173 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 1.422e-01
                         :    2 : qmaxQASum       : 1.144e-01
                         :    3 : qmaxQASumR      : 8.645e-02
                         :    4 : bz0             : 7.106e-03
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0568 sec         
                         : Dataset[meanMIPeleR9] : Create results for training
                         : Dataset[meanMIPeleR9] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[meanMIPeleR9] : Elapsed time for evaluation of 424 events: 0.0034 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR9/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR9/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0722 sec         
                         : Dataset[meanMIPeleR9] : Create results for training
                         : Dataset[meanMIPeleR9] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[meanMIPeleR9] : Elapsed time for evaluation of 424 events: 0.00226 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR9/weights/TMVARegression_BDTRF12_16.weights.xml
                         : TMVA_RegressionOutput.root:/meanMIPeleR9/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000906 sec         
                         : Dataset[meanMIPeleR9] : Create results for training
                         : Dataset[meanMIPeleR9] : Evaluation of KNN on training sample
                         : Dataset[meanMIPeleR9] : Elapsed time for evaluation of 424 events: 0.00617 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: meanMIPeleR9/weights/TMVARegression_KNN.weights.xml






    



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Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: meanMIPeleR9/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: meanMIPeleR9/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: meanMIPeleR9/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	meanMIPeleR9/weights/TMVARegression_BDTRF25_8.weights.xml
Weight file	meanMIPeleR9/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	meanMIPeleR9/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[meanMIPeleR9] : Create results for testing
                         : Dataset[meanMIPeleR9] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[meanMIPeleR9] : Elapsed time for evaluation of 424 events: 0.00418 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[meanMIPeleR9] : Create results for testing
                         : Dataset[meanMIPeleR9] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[meanMIPeleR9] : Elapsed time for evaluation of 424 events: 0.00219 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[meanMIPeleR9] : Create results for testing
                         : Dataset[meanMIPeleR9] : Evaluation of KNN on testing sample
                         : Dataset[meanMIPeleR9] : Elapsed time for evaluation of 424 events: 0.00722 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00407 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00333 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0028 sec       






    



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                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00264 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00701 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00508 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :     meanMIPeleR:           1.6943         0.055662   [           1.6123           2.8208 ]
                         : ----------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR9         BDTRF12_16     : -0.00191 0.000733   0.0549  0.00716  |  0.233  0.233
                         : meanMIPeleR9         BDTRF25_8      : -0.00205 0.000574   0.0545  0.00715  |  0.259  0.259
                         : meanMIPeleR9         KNN            : 0.000113  0.00263   0.0534   0.0133  |  0.223  0.223
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : meanMIPeleR9         BDTRF12_16     : 2.46e-05-6.09e-06 0.000825 0.000625  |  0.393  0.399
                         : meanMIPeleR9         BDTRF25_8      :-6.79e-05 4.33e-05  0.00282  0.00239  |  0.323  0.339
                         : meanMIPeleR9         KNN            :-0.000360  0.00215   0.0531   0.0130  |  0.167  0.167
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:meanMIPeleR9     : Created tree 'TestTree' with 424 events
                         : 
Dataset:meanMIPeleR9     : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html






    



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DataSetInfo              : [tpcItsMatchA9] : Added class "Regression"
                         : Add Tree MVAInput of type Regression with 851 events
                         : Dataset[tpcItsMatchA9] : Class index : 0  name : Regression
Booking method BDTRF25_8	9	!H:!V:NTrees=25:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=8
Factory                  : Booking method: BDTRF25_8
                         : 
DataSetFactory           : [tpcItsMatchA9] : Number of events in input trees
                         : Dataset[tpcItsMatchA9] :     Regression requirement: "interactionRate>0"
                         : Dataset[tpcItsMatchA9] :     Regression      -- number of events passed: 849    / sum of weights: 849  
                         : Dataset[tpcItsMatchA9] :     Regression      -- efficiency             : 0.99765
                         : Dataset[tpcItsMatchA9] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[tpcItsMatchA9] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[tpcItsMatchA9] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[tpcItsMatchA9] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[tpcItsMatchA9] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[tpcItsMatchA9] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[tpcItsMatchA9] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 424
                         : Regression -- testing events             : 424
                         : Regression -- training and testing events: 848
                         : Dataset[tpcItsMatchA9] : Regression -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.99765
                         : 
                         :  Randomised trees use no pruning
Booking method BDTRF12_16	9	!H:!V:NTrees=12:Shrinkage=0.1:UseRandomisedTrees:nCuts=20:MaxDepth=16
Factory                  : Booking method: BDTRF12_16
                         : 
                         :  Randomised trees use no pruning
Booking method KNN	6	nkNN=20:ScaleFrac=0.8:SigmaFact=1.0:Kernel=Gaus:UseKernel=F:UseWeight=T:!Trim
Factory                  : Booking method: KNN
                         : 
Factory                  : Train all methods
Factory                  : [tpcItsMatchA9] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'interactionRate' <---> Output : variable 'interactionRate'
                         : Input : variable 'bz0' <---> Output : variable 'bz0'
                         : Input : variable 'qmaxQASum' <---> Output : variable 'qmaxQASum'
                         : Input : variable 'qmaxQASumR' <---> Output : variable 'qmaxQASumR'
TFHandler_Factory        :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.6328e+05           76311.   [           135.88       7.5918e+05 ]
                         :             bz0:         -0.46528          0.15511   [         -0.50000          0.50010 ]
                         :       qmaxQASum:           39.380           2.7430   [           32.729           43.624 ]
                         :      qmaxQASumR:          0.95412         0.020345   [          0.85734          0.97737 ]
                         :    tpcItsMatchA:          0.73917         0.071090   [          0.49591          0.93753 ]
                         : ----------------------------------------------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------------------------
                         : Rank : Variable        : |Correlation with target|
                         : -------------------------------------------------------
                         :    1 : interactionRate : 8.845e-01
                         :    2 : qmaxQASumR      : 5.294e-01
                         :    3 : bz0             : 4.374e-01
                         :    4 : qmaxQASum       : 2.876e-01
                         : -------------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------------------
                         : Rank : Variable        : Mutual information
                         : ------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ------------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -----------------------------------------------
                         : Rank : Variable        : Correlation Ratio
                         : -----------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : -----------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ---------------------------------------------------
                         : Rank : Variable        : Correlation Ratio (T)
                         : ---------------------------------------------------
                         :    1 : interactionRate : -1.000e+00
                         :    2 : bz0             : -1.000e+00
                         :    3 : qmaxQASum       : -1.000e+00
                         :    4 : qmaxQASumR      : -1.000e+00
                         : ---------------------------------------------------
Factory                  : Train method: BDTRF25_8 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 25 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0535 sec         
                         : Dataset[tpcItsMatchA9] : Create results for training
                         : Dataset[tpcItsMatchA9] : Evaluation of BDTRF25_8 on training sample
                         : Dataset[tpcItsMatchA9] : Elapsed time for evaluation of 424 events: 0.00475 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA9/weights/TMVARegression_BDTRF25_8.weights.xml
                         : TMVA_RegressionOutput.root:/tpcItsMatchA9/Method_BDTRF25_8/BDTRF25_8
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTRF12_16 for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 12 Decision Trees ... patience please






    



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                         : Elapsed time for training with 424 events: 0.0801 sec         
                         : Dataset[tpcItsMatchA9] : Create results for training
                         : Dataset[tpcItsMatchA9] : Evaluation of BDTRF12_16 on training sample
                         : Dataset[tpcItsMatchA9] : Elapsed time for evaluation of 424 events: 0.00311 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA9/weights/TMVARegression_BDTRF12_16.weights.xml






    



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                         : TMVA_RegressionOutput.root:/tpcItsMatchA9/Method_BDTRF12_16/BDTRF12_16
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 424 events
                         : Number of signal events 424
                         : Number of background events 0
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Elapsed time for training with 424 events: 0.000983 sec         
                         : Dataset[tpcItsMatchA9] : Create results for training
                         : Dataset[tpcItsMatchA9] : Evaluation of KNN on training sample
                         : Dataset[tpcItsMatchA9] : Elapsed time for evaluation of 424 events: 0.00526 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: tpcItsMatchA9/weights/TMVARegression_KNN.weights.xml
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: tpcItsMatchA9/weights/TMVARegression_BDTRF25_8.weights.xml
                         : Reading weight file: tpcItsMatchA9/weights/TMVARegression_BDTRF12_16.weights.xml
                         : Reading weight file: tpcItsMatchA9/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
Weight file	tpcItsMatchA9/weights/TMVARegression_BDTRF25_8.weights.xml






    



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Weight file	tpcItsMatchA9/weights/TMVARegression_BDTRF12_16.weights.xml
Weight file	tpcItsMatchA9/weights/TMVARegression_KNN.weights.xml
Factory                  : Test all methods
Factory                  : Test method: BDTRF25_8 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA9] : Create results for testing
                         : Dataset[tpcItsMatchA9] : Evaluation of BDTRF25_8 on testing sample
                         : Dataset[tpcItsMatchA9] : Elapsed time for evaluation of 424 events: 0.00433 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTRF12_16 for Regression performance
                         : 
                         : Dataset[tpcItsMatchA9] : Create results for testing
                         : Dataset[tpcItsMatchA9] : Evaluation of BDTRF12_16 on testing sample
                         : Dataset[tpcItsMatchA9] : Elapsed time for evaluation of 424 events: 0.00274 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[tpcItsMatchA9] : Create results for testing
                         : Dataset[tpcItsMatchA9] : Evaluation of KNN on testing sample
                         : Dataset[tpcItsMatchA9] : Elapsed time for evaluation of 424 events: 0.00795 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTRF25_8
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00352 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.0034 sec       
TFHandler_BDTRF25_8      :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : Evaluate regression method: BDTRF12_16
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00194 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00269 sec       
TFHandler_BDTRF12_16     :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00581 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 424 events: 0.00534 sec       
TFHandler_KNN            :        Variable               Mean               RMS       [        Min               Max ]
                         : ----------------------------------------------------------------------------------------------
                         : interactionRate:       1.7012e+05           80262.   [           135.79       1.0095e+06 ]
                         :             bz0:         -0.46882          0.15241   [         -0.50000          0.50009 ]
                         :       qmaxQASum:           39.514           2.6575   [           33.386           43.396 ]
                         :      qmaxQASumR:          0.95613         0.015563   [          0.86233          0.97128 ]
                         :    tpcItsMatchA:          0.73222         0.067272   [          0.43263          0.93667 ]
                         : ----------------------------------------------------------------------------------------------






    



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                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA9        BDTRF12_16     :-0.000281-0.000505   0.0169   0.0104  |  1.288  1.272
                         : tpcItsMatchA9        BDTRF25_8      : -0.00127 -0.00230   0.0167  0.00986  |  1.223  1.216
                         : tpcItsMatchA9        KNN            : -0.00327 -0.00325   0.0288   0.0178  |  1.032  0.963
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : tpcItsMatchA9        BDTRF12_16     : 5.44e-05 1.02e-05  0.00228  0.00201  |  2.271  2.260
                         : tpcItsMatchA9        BDTRF25_8      : -0.00116 -0.00170  0.00717  0.00628  |  1.712  1.693
                         : tpcItsMatchA9        KNN            : -0.00344 -0.00416   0.0259   0.0175  |  1.225  1.103
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:tpcItsMatchA9    : Created tree 'TestTree' with 424 events
                         : 
Dataset:tpcItsMatchA9    : Created tree 'TrainTree' with 424 events
                         : 
Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html

Load array of regression -used later in the array regression evaluation (mean, median, rms)



In [8]:

    
/// Load regression and register it for later usage
///void loadMVAReaders(){
  AliNDFunctionInterface::LoadMVAReader(0,"TMVA_RegressionOutput.root","BDTRF25_8","resolutionMIP0");
  AliNDFunctionInterface::LoadMVAReader(1,"TMVA_RegressionOutput.root","BDTRF12_16","resolutionMIP0");
  AliNDFunctionInterface::LoadMVAReader(2,"TMVA_RegressionOutput.root","KNN","resolutionMIP0");
//}
/// Load array of regression  -used later in the array regression evaluation (mean, median, rms)
///-------------------------------
//void loadMVAReadersBootstrap() {
  AliNDFunctionInterface::LoadMVAReaderArray(0,"TMVA_RegressionOutput.root","BDTRF12_16",".*resolutionMIP");
  AliNDFunctionInterface::LoadMVAReaderArray(1,"TMVA_RegressionOutput.root","BDTRF25_8",".*resolutionMIP");
  AliNDFunctionInterface::LoadMVAReaderArray(2,"TMVA_RegressionOutput.root","KNN",".*resolutionMIP");
///}









    



                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP0
resolutionMIP0/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP1
resolutionMIP1/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP2
resolutionMIP2/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP3
resolutionMIP3/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP4
resolutionMIP4/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP5
resolutionMIP5/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP6
resolutionMIP6/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP7
resolutionMIP7/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP8
resolutionMIP8/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP9
resolutionMIP9/BDTRF12_16
                         : Booking "BDTRF12_16" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF12_16" of type: "BDT"
resolutionMIP0
resolutionMIP0/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP1
resolutionMIP1/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP2
resolutionMIP2/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP3
resolutionMIP3/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP4
resolutionMIP4/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP5
resolutionMIP5/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP6
resolutionMIP6/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP7
resolutionMIP7/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP8
resolutionMIP8/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP9
resolutionMIP9/BDTRF25_8
                         : Booking "BDTRF25_8" of type "BDT" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTRF25_8" of type: "BDT"
resolutionMIP0
resolutionMIP0/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP1
resolutionMIP1/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP2
resolutionMIP2/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP3
resolutionMIP3/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP4
resolutionMIP4/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP5
resolutionMIP5/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP6
resolutionMIP6/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP7
resolutionMIP7/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP8
resolutionMIP8/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"
resolutionMIP9
resolutionMIP9/KNN
                         : Booking "KNN" of type "KNN" from weights.xml.
                         : Reading weight file: weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Creating kd-tree with 424 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 4 variables with 424 values
                         : <Fill> Class 1 has      424 events
                         : Booked classifier "KNN" of type: "KNN"

Bootstrap mean versus simpler BTD



In [9]:

    
tree->Draw("AliNDFunctionInterface::EvalMVAStat(0,1,interactionRate, bz0,qmaxQASum,qmaxQASumR):AliNDFunctionInterface::EvalMVA(0,interactionRate, bz0,qmaxQASum,qmaxQASumR):resolutionMIP","run==QA.EVS.run","colz");
canvasDraw->Draw("colz");

Regression value vs fit value

dEdx resolution



In [10]:

    
tree->Draw("AliNDFunctionInterface::EvalMVAStat(0,1,interactionRate, bz0,qmaxQASum,qmaxQASumR):resolutionMIP:run","run==QA.EVS.run","colz");
canvasDraw->Draw("colz");

Confidence interval estimator comparison

comparison of the method 0 (BDT 25/8) and 1 (BDT 12/6)



In [11]:

    
gStyle->SetOptFit(1);
tree->Draw("AliNDFunctionInterface::EvalMVAStat(0,2,interactionRate, bz0,qmaxQASum,qmaxQASumR)-AliNDFunctionInterface::EvalMVAStat(1,2,interactionRate, bz0,qmaxQASum,qmaxQASumR)>>hisRMSD(100,-0.001,0.001)","run==QA.EVS.run","");
tree->GetHistogram()->Fit("gaus");
canvasDraw->Draw("colz");









    












    



 FCN=91.4802 FROM MIGRAD    STATUS=CONVERGED      82 CALLS          83 TOTAL
                     EDM=1.59774e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
  EXT PARAMETER                                   STEP         FIRST   
  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
   1  Constant     6.32122e+01   3.28892e+00   1.08115e-02  -3.31802e-05
   2  Mean        -5.51887e-06   3.92615e-06   1.67265e-08  -1.48960e+02
   3  Sigma        9.58279e-05   3.69495e-06   3.48465e-05   3.12972e-02



In [ ]: