Execution Time131.68s

Test: test-stresstmva (Passed)
Build: master-aarch64-centos7-gcc48 (techlab-arm64-moonshot-xgene-004) on 2019-11-14 00:49:23
Repository revision: 32b17abcda23e44b64218a42d0ca69cb30cda7e0

Test Timing: Passed
Processors1

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Test output
******************************************************************
* TMVA - S T R E S S and U N I T test suite (FAST)
******************************************************************
create data set info name
Event [107/107]..................................................OK
VariableInfo [31/31].............................................OK
create data set info name
DataSetInfo              : [name] : Added class "classname"
DataSetInfo [20/20]..............................................OK
DataSet [15/15]..................................................OK
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LD             : 0.730
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LD             : 0.205 (0.205)       0.295 (0.295)      0.580 (0.580)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LD             : 0.666
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LD             : 0.000 (0.000)       0.275 (0.275)      0.502 (0.502)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       MLP            : 0.790
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              MLP            : 0.135 (0.135)       0.428 (0.428)      0.692 (0.692)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       MLP            : 0.689
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              MLP            : 0.020 (0.020)       0.225 (0.225)      0.528 (0.528)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       BDT            : 1.000
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              BDT            : 1.000 (1.000)       1.000 (1.000)      1.000 (1.000)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       BDT            : 1.000
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              BDT            : 0.985 (0.985)       0.986 (0.986)      0.988 (0.988)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       BDT            : 1.000
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              BDT            : 0.995 (0.995)       1.000 (1.000)      1.000 (1.000)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LD             : 0.796
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LD             : 0.037 (0.078)       0.244 (0.324)      0.818 (0.817)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LD             : 0.796
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LD             : 0.037 (0.078)       0.244 (0.324)      0.818 (0.817)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LD             : 0.822
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LD             : 0.097 (0.137)       0.457 (0.539)      0.840 (0.840)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info dataset
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LD             : 0.810
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LD             : 0.076 (0.097)       0.419 (0.499)      0.876 (0.880)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
Factory [11/11]..................................................OK
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Reader [2/2].....................................................OK
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ReaderMT [100/100]...............................................OK
create data set info dataset
[TFile::Cp] Total 0.20 MB	|>...................| 0.00 % [0.0 MB/s][TFile::Cp] Total 0.20 MB	|====================| 100.00 % [29.6 MB/s]
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       CutsGA         : 0.792
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              CutsGA         : 0.078 (0.124)       0.453 (0.477)      0.740 (0.744)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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CutsGA [3/3].....................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LikelihoodD    : 0.917
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LikelihoodD    : 0.356 (0.393)       0.763 (0.761)      0.917 (0.926)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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LikelihoodD [4/4]................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       PDERS          : 0.817
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              PDERS          : 0.169 (0.148)       0.490 (0.474)      0.778 (0.766)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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PDERS [4/4]......................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       PDEFoam        : 0.815
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              PDEFoam        : 0.135 (0.209)       0.496 (0.508)      0.778 (0.774)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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PDEFoam [4/4]....................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       KNN            : 0.842
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              KNN            : 0.186 (0.258)       0.554 (0.630)      0.819 (0.847)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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KNN [4/4]........................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       Fisher         : 0.919
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              Fisher         : 0.351 (0.426)       0.763 (0.762)      0.922 (0.925)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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Fisher [4/4].....................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       BoostedFisher  : 0.916
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              BoostedFisher  : 0.357 (0.409)       0.763 (0.763)      0.921 (0.924)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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BoostedFisher [4/4]..............................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       LD             : 0.919
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              LD             : 0.351 (0.426)       0.763 (0.762)      0.922 (0.925)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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LD [4/4].........................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       MLP            : 0.914
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              MLP            : 0.333 (0.412)       0.747 (0.769)      0.917 (0.923)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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MLP [4/4]........................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       MLPBFGS        : 0.912
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              MLPBFGS        : 0.367 (0.410)       0.737 (0.787)      0.912 (0.924)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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MLPBFGS [4/4]....................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       SVM            : 0.911
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              SVM            : 0.357 (0.371)       0.743 (0.752)      0.912 (0.919)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
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SVM [4/4]........................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       BDTG           : 0.902
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              BDTG           : 0.280 (0.416)       0.710 (0.806)      0.904 (0.926)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
BDTG [4/4].......................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       BDT            : 0.891
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              BDT            : 0.208 (0.597)       0.682 (0.832)      0.897 (0.924)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
BDT [4/4]........................................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_class_example.root [./files/tmva_class_example.root]
Parsed Training DNN string LearningRate=0.1,Momentum=0.9,
STring has size 1
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       DNN CPU        : 0.916
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : Testing efficiency compared to training efficiency (overtraining check)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet              MVA              Signal efficiency: from test sample (from training sample) 
                         : Name:                Method:          @B=0.01             @B=0.10            @B=0.30   
                         : -------------------------------------------------------------------------------------------------------------------
                         : dataset              DNN CPU        : 0.324 (0.400)       0.759 (0.765)      0.917 (0.924)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
create data set info Default
DNN CPU [4/4]....................................................OK
create data set info dataset
[TFile::Cp] Total 0.11 MB	|>...................| 0.00 % [0.0 MB/s][TFile::Cp] Total 0.11 MB	|====================| 100.00 % [23.5 MB/s]
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_reg_example.root [./files/tmva_reg_example.root]
create data set info Default
create data set info Default
create data set info Default
Regression_LD [4/4]..............................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_reg_example.root [./files/tmva_reg_example.root]
create data set info Default
create data set info Default
create data set info Default
Regression_MLPBFGSN [4/4]........................................OK
create data set info dataset
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_reg_example.root [./files/tmva_reg_example.root]
create data set info Default
create data set info Default
create data set info Default
Regression_BDTG2 [4/4]...........................................OK
IPythonInteractive [2/2].........................................OK
Event [107/107]..................................................OK
VariableInfo [31/31].............................................OK
DataSetInfo [20/20]..............................................OK
DataSet [15/15]..................................................OK
Factory [11/11]..................................................OK
Reader [2/2].....................................................OK
ReaderMT [100/100]...............................................OK
CutsGA [3/3].....................................................OK
LikelihoodD [4/4]................................................OK
PDERS [4/4]......................................................OK
PDEFoam [4/4]....................................................OK
KNN [4/4]........................................................OK
Fisher [4/4].....................................................OK
BoostedFisher [4/4]..............................................OK
LD [4/4].........................................................OK
MLP [4/4]........................................................OK
MLPBFGS [4/4]....................................................OK
SVM [4/4]........................................................OK
BDTG [4/4].......................................................OK
BDT [4/4]........................................................OK
DNN CPU [4/4]....................................................OK
Regression_LD [4/4]..............................................OK
Regression_MLPBFGSN [4/4]........................................OK
Regression_BDTG2 [4/4]...........................................OK
IPythonInteractive [2/2].........................................OK
******************************************************************
*  SYS: Linux techlab-arm64-moonshot-xgene-004 4.5.0-19.el7.aarch64 
*  SYS: "CentOS Linux release 7.6.1810 (AltArch) "
******************************************************************
*  CPUTIME   = 126.6   *  Root6.19/01   20190529/1059
******************************************************************