Execution Time2.03s

Test: gtest-tmva-tmva-test-crossvalidation-testCrossValidationMultiProc (Passed)
Build: PR-420-x86_64-mac1014-clang100-opt (macitois21.cern.ch) on 2019-11-14 09:35:40

Test Timing: Passed
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Test output
Running main() from gtest_main.cc
[==========] Running 1 test from 1 test case.
[----------] Global test environment set-up.
[----------] 1 test from CrossValidationMultiprocess
[ RUN      ] CrossValidationMultiprocess.EqualOutputTo
create data set info cv-multiproc
DataSetInfo              : [cv-multiproc] : Added class "Signal"
                         : Add Tree  of type Signal with 50 events
DataSetInfo              : [cv-multiproc] : Added class "Background"
                         : Add Tree  of type Background with 50 events
                         : Dataset[cv-multiproc] : Class index : 0  name : Signal
                         : Dataset[cv-multiproc] : Class index : 1  name : Background
Factory                  : You are running ROOT Version: 6.19/01, May 29, 2019
                         : 
                         : _/_/_/_/_/ _|      _|  _|      _|    _|_|   
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                         :  _/        _|      _|    _|  _|    _|    _| 
                         : _/         _|      _|      _|      _|    _| 
                         : 
                         : ___________TMVA Version 4.2.1, Feb 5, 2015
                         : 
Factory                  : You are running ROOT Version: 6.19/01, May 29, 2019
                         : 
                         : _/_/_/_/_/ _|      _|  _|      _|    _|_|   
                         :    _/      _|_|  _|_|  _|      _|  _|    _| 
                         :   _/       _|  _|  _|  _|      _|  _|_|_|_| 
                         :  _/        _|      _|    _|  _|    _|    _| 
                         : _/         _|      _|      _|      _|    _| 
                         : 
                         : ___________TMVA Version 4.2.1, Feb 5, 2015
                         : 
                         : Building event vectors for type 2 Signal
                         : Dataset[cv-multiproc] :  create input formulas for tree 
                         : Building event vectors for type 2 Background
                         : Dataset[cv-multiproc] :  create input formulas for tree 
DataSetFactory           : [cv-multiproc] : Number of events in input trees
                         : 
                         : 
                         : Dataset[cv-multiproc] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[cv-multiproc] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[cv-multiproc] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[cv-multiproc] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[cv-multiproc] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[cv-multiproc] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Signal     -- training events            : 50
                         : Signal     -- testing events             : 0
                         : Signal     -- training and testing events: 50
                         : Background -- training events            : 50
                         : Background -- testing events             : 0
                         : Background -- training and testing events: 50
                         : 
[NON-XML-CHAR-0x1B][31m<ERROR>                         : Dataset cv-multiproc does not have any testing events, guess that will cause problems later..but for now, I continue [NON-XML-CHAR-0x1B][0m
DataSetInfo              : Correlation matrix (Signal):
                         : ------------------------
                         :                x       y
                         :       x:  +1.000  +0.070
                         :       y:  +0.070  +1.000
                         : ------------------------
DataSetInfo              : Correlation matrix (Background):
                         : ------------------------
                         :                x       y
                         :       x:  +1.000  -0.238
                         :       y:  -0.238  +1.000
                         : ------------------------
DataSetFactory           : [cv-multiproc] :  
                         : 
                         : 
                         : 
                         : ========================================
                         : Processing folds for method BDT
                         : ========================================
                         : 
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mBDT_fold1[NON-XML-CHAR-0x1B][0m
                         : 
BDT_fold1                : #events: (reweighted) sig: 25 bkg: 25
                         : #events: (unweighted) sig: 25 bkg: 25
                         : Training 100 Decision Trees ... patience please
                         : Elapsed time for training with 50 events: 0.0249 sec         
BDT_fold1                : [cv-multiproc] : Evaluation of BDT_fold1 on training sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.000391 sec       
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT_fold1.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Creating standalone class: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT_fold1.class.C[NON-XML-CHAR-0x1B][0m
Factory                  : [NON-XML-CHAR-0x1B][1mTest all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Test method: BDT_fold1 for Classification performance
                         : 
BDT_fold1                : [cv-multiproc] : Evaluation of BDT_fold1 on testing sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.000365 sec       
Factory                  : [NON-XML-CHAR-0x1B][1mEvaluate all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Evaluate classifier: BDT_fold1
                         : 
BDT_fold1                : [cv-multiproc] : Loop over test events and fill histograms with classifier response...
                         : 
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : cv-multiproc  BDT_fold1      : 0.576
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : 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   
                         : -------------------------------------------------------------------------------------------------------------------
                         : cv-multiproc         BDT_fold1      : 0.000 (0.756)       0.119 (0.761)      0.400 (0.797)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
Factory                  : [NON-XML-CHAR-0x1B][1mThank you for using TMVA![NON-XML-CHAR-0x1B][0m
                         : [NON-XML-CHAR-0x1B][1mFor citation information, please visit: http://tmva.sf.net/citeTMVA.html[NON-XML-CHAR-0x1B][0m
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mBDT_fold2[NON-XML-CHAR-0x1B][0m
                         : 
BDT_fold2                : #events: (reweighted) sig: 25 bkg: 25
                         : #events: (unweighted) sig: 25 bkg: 25
                         : Training 100 Decision Trees ... patience please
                         : Elapsed time for training with 50 events: 0.0246 sec         
BDT_fold2                : [cv-multiproc] : Evaluation of BDT_fold2 on training sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.00038 sec       
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT_fold2.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Creating standalone class: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT_fold2.class.C[NON-XML-CHAR-0x1B][0m
Factory                  : [NON-XML-CHAR-0x1B][1mTest all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Test method: BDT_fold2 for Classification performance
                         : 
BDT_fold2                : [cv-multiproc] : Evaluation of BDT_fold2 on testing sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.000666 sec       
Factory                  : [NON-XML-CHAR-0x1B][1mEvaluate all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Evaluate classifier: BDT_fold2
                         : 
BDT_fold2                : [cv-multiproc] : Loop over test events and fill histograms with classifier response...
                         : 
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : cv-multiproc  BDT_fold2      : 0.573
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : 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   
                         : -------------------------------------------------------------------------------------------------------------------
                         : cv-multiproc         BDT_fold2      : 0.157 (0.677)       0.243 (0.759)      0.398 (0.839)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
Factory                  : [NON-XML-CHAR-0x1B][1mThank you for using TMVA![NON-XML-CHAR-0x1B][0m
                         : [NON-XML-CHAR-0x1B][1mFor citation information, please visit: http://tmva.sf.net/citeTMVA.html[NON-XML-CHAR-0x1B][0m
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mBDT[NON-XML-CHAR-0x1B][0m
                         : 
                         : Reading weightfile: cv-multiproc/weights/1-proc_BDT_fold1.weights.xml
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT_fold1.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Reading weightfile: cv-multiproc/weights/1-proc_BDT_fold2.weights.xml
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT_fold2.weights.xml[NON-XML-CHAR-0x1B][0m
                         : 
                         : 
                         : ========================================
                         : Folds processed for all methods, evaluating.
                         : ========================================
                         : 
                         : Elapsed time for training with 100 events: 1.12e-05 sec         
BDT                      : [cv-multiproc] : Evaluation of BDT on training sample (100 events)
                         : Elapsed time for evaluation of 100 events: 0.000716 sec       
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Creating standalone class: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/1-proc_BDT.class.C[NON-XML-CHAR-0x1B][0m
<WARNING>                : MakeClassSpecificHeader not implemented for CrossValidation
<WARNING>                : MakeClassSpecific not implemented for CrossValidation
Factory                  : [NON-XML-CHAR-0x1B][1mTest all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Test method: BDT for Classification performance
                         : 
BDT                      : [cv-multiproc] : Evaluation of BDT on testing sample (100 events)
                         : Elapsed time for evaluation of 100 events: 0.000731 sec       
Factory                  : [NON-XML-CHAR-0x1B][1mEvaluate all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Evaluate classifier: BDT
                         : 
BDT                      : [cv-multiproc] : Loop over test events and fill histograms with classifier response...
                         : 
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : cv-multiproc  BDT            : 0.570
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : 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   
                         : -------------------------------------------------------------------------------------------------------------------
                         : cv-multiproc         BDT            : 0.000 (0.000)       0.196 (0.196)      0.380 (0.380)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
Factory                  : [NON-XML-CHAR-0x1B][1mThank you for using TMVA![NON-XML-CHAR-0x1B][0m
                         : [NON-XML-CHAR-0x1B][1mFor citation information, please visit: http://tmva.sf.net/citeTMVA.html[NON-XML-CHAR-0x1B][0m
                         : Evaluation done.
create data set info cv-multiproc
DataSetInfo              : [cv-multiproc] : Added class "Signal"
                         : Add Tree  of type Signal with 50 events
DataSetInfo              : [cv-multiproc] : Added class "Background"
                         : Add Tree  of type Background with 50 events
                         : Dataset[cv-multiproc] : Class index : 0  name : Signal
                         : Dataset[cv-multiproc] : Class index : 1  name : Background
Factory                  : You are running ROOT Version: 6.19/01, May 29, 2019
                         : 
                         : _/_/_/_/_/ _|      _|  _|      _|    _|_|   
                         :    _/      _|_|  _|_|  _|      _|  _|    _| 
                         :   _/       _|  _|  _|  _|      _|  _|_|_|_| 
                         :  _/        _|      _|    _|  _|    _|    _| 
                         : _/         _|      _|      _|      _|    _| 
                         : 
                         : ___________TMVA Version 4.2.1, Feb 5, 2015
                         : 
Factory                  : You are running ROOT Version: 6.19/01, May 29, 2019
                         : 
                         : _/_/_/_/_/ _|      _|  _|      _|    _|_|   
                         :    _/      _|_|  _|_|  _|      _|  _|    _| 
                         :   _/       _|  _|  _|  _|      _|  _|_|_|_| 
                         :  _/        _|      _|    _|  _|    _|    _| 
                         : _/         _|      _|      _|      _|    _| 
                         : 
                         : ___________TMVA Version 4.2.1, Feb 5, 2015
                         : 
                         : Building event vectors for type 2 Signal
                         : Dataset[cv-multiproc] :  create input formulas for tree 
                         : Building event vectors for type 2 Background
                         : Dataset[cv-multiproc] :  create input formulas for tree 
DataSetFactory           : [cv-multiproc] : Number of events in input trees
                         : 
                         : 
                         : Dataset[cv-multiproc] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ...
                         : Dataset[cv-multiproc] :  such that the effective (weighted) number of events in each class is the same 
                         : Dataset[cv-multiproc] :  (and equals the number of events (entries) given for class=0 )
                         : Dataset[cv-multiproc] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ...
                         : Dataset[cv-multiproc] : ... (note that N_j is the sum of TRAINING events
                         : Dataset[cv-multiproc] :  ..... Testing events are not renormalised nor included in the renormalisation factor!)
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Signal     -- training events            : 50
                         : Signal     -- testing events             : 0
                         : Signal     -- training and testing events: 50
                         : Background -- training events            : 50
                         : Background -- testing events             : 0
                         : Background -- training and testing events: 50
                         : 
[NON-XML-CHAR-0x1B][31m<ERROR>                         : Dataset cv-multiproc does not have any testing events, guess that will cause problems later..but for now, I continue [NON-XML-CHAR-0x1B][0m
DataSetInfo              : Correlation matrix (Signal):
                         : ------------------------
                         :                x       y
                         :       x:  +1.000  +0.070
                         :       y:  +0.070  +1.000
                         : ------------------------
DataSetInfo              : Correlation matrix (Background):
                         : ------------------------
                         :                x       y
                         :       x:  +1.000  -0.238
                         :       y:  -0.238  +1.000
                         : ------------------------
DataSetFactory           : [cv-multiproc] :  
                         : 
                         : 
                         : 
                         : ========================================
                         : Processing folds for method BDT
                         : ========================================
                         : 
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mBDT_fold1[NON-XML-CHAR-0x1B][0m
                         : 
BDT_fold1                : #events: (reweighted) sig: 25 bkg: 25
                         : #events: (unweighted) sig: 25 bkg: 25
                         : Training 100 Decision Trees ... patience please
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mBDT_fold2[NON-XML-CHAR-0x1B][0m
                         : 
BDT_fold2                : #events: (reweighted) sig: 25 bkg: 25
                         : #events: (unweighted) sig: 25 bkg: 25
                         : Training 100 Decision Trees ... patience please
                         : Elapsed time for training with 50 events: 0.0264 sec         
BDT_fold1                : [cv-multiproc] : Evaluation of BDT_fold1 on training sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.000389 sec       
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT_fold1.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Elapsed time for training with 50 events: 0.0269 sec         
BDT_fold2                : [cv-multiproc] : Evaluation of BDT_fold2 on training sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.000395 sec       
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT_fold2.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Creating standalone class: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT_fold1.class.C[NON-XML-CHAR-0x1B][0m
                         : Creating standalone class: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT_fold2.class.C[NON-XML-CHAR-0x1B][0m
Factory                  : [NON-XML-CHAR-0x1B][1mTest all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Test method: BDT_fold1 for Classification performance
                         : 
BDT_fold1                : [cv-multiproc] : Evaluation of BDT_fold1 on testing sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.000383 sec       
Factory                  : [NON-XML-CHAR-0x1B][1mEvaluate all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Evaluate classifier: BDT_fold1
                         : 
BDT_fold1                : [cv-multiproc] : Loop over test events and fill histograms with classifier response...
                         : 
Factory                  : [NON-XML-CHAR-0x1B][1mTest all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Test method: BDT_fold2 for Classification performance
                         : 
BDT_fold2                : [cv-multiproc] : Evaluation of BDT_fold2 on testing sample (50 events)
                         : Elapsed time for evaluation of 50 events: 0.000396 sec       
Factory                  : [NON-XML-CHAR-0x1B][1mEvaluate all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Evaluate classifier: BDT_fold2
                         : 
BDT_fold2                : [cv-multiproc] : Loop over test events and fill histograms with classifier response...
                         : 
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : cv-multiproc  BDT_fold1      : 0.576
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : 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   
                         : -------------------------------------------------------------------------------------------------------------------
                         : cv-multiproc         BDT_fold1      : 0.000 (0.756)       0.119 (0.761)      0.400 (0.797)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
Factory                  : [NON-XML-CHAR-0x1B][1mThank you for using TMVA![NON-XML-CHAR-0x1B][0m
                         : [NON-XML-CHAR-0x1B][1mFor citation information, please visit: http://tmva.sf.net/citeTMVA.html[NON-XML-CHAR-0x1B][0m
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : cv-multiproc  BDT_fold2      : 0.573
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : 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   
                         : -------------------------------------------------------------------------------------------------------------------
                         : cv-multiproc         BDT_fold2      : 0.157 (0.677)       0.243 (0.759)      0.398 (0.839)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
Factory                  : [NON-XML-CHAR-0x1B][1mThank you for using TMVA![NON-XML-CHAR-0x1B][0m
                         : [NON-XML-CHAR-0x1B][1mFor citation information, please visit: http://tmva.sf.net/citeTMVA.html[NON-XML-CHAR-0x1B][0m
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mBDT[NON-XML-CHAR-0x1B][0m
                         : 
                         : Reading weightfile: cv-multiproc/weights/2-proc_BDT_fold1.weights.xml
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT_fold1.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Reading weightfile: cv-multiproc/weights/2-proc_BDT_fold2.weights.xml
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT_fold2.weights.xml[NON-XML-CHAR-0x1B][0m
                         : 
                         : 
                         : ========================================
                         : Folds processed for all methods, evaluating.
                         : ========================================
                         : 
                         : Elapsed time for training with 100 events: 1.22e-05 sec         
BDT                      : [cv-multiproc] : Evaluation of BDT on training sample (100 events)
                         : Elapsed time for evaluation of 100 events: 0.000684 sec       
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Creating standalone class: [NON-XML-CHAR-0x1B][0;36mcv-multiproc/weights/2-proc_BDT.class.C[NON-XML-CHAR-0x1B][0m
<WARNING>                : MakeClassSpecificHeader not implemented for CrossValidation
<WARNING>                : MakeClassSpecific not implemented for CrossValidation
Factory                  : [NON-XML-CHAR-0x1B][1mTest all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Test method: BDT for Classification performance
                         : 
BDT                      : [cv-multiproc] : Evaluation of BDT on testing sample (100 events)
                         : Elapsed time for evaluation of 100 events: 0.000694 sec       
Factory                  : [NON-XML-CHAR-0x1B][1mEvaluate all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Evaluate classifier: BDT
                         : 
BDT                      : [cv-multiproc] : Loop over test events and fill histograms with classifier response...
                         : 
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : cv-multiproc  BDT            : 0.570
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : 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   
                         : -------------------------------------------------------------------------------------------------------------------
                         : cv-multiproc         BDT            : 0.000 (0.000)       0.196 (0.196)      0.380 (0.380)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
Factory                  : [NON-XML-CHAR-0x1B][1mThank you for using TMVA![NON-XML-CHAR-0x1B][0m
                         : [NON-XML-CHAR-0x1B][1mFor citation information, please visit: http://tmva.sf.net/citeTMVA.html[NON-XML-CHAR-0x1B][0m
                         : Evaluation done.
CV with 1 process took  : 0.712606
CV with 2 processes took: 0.680567
create data set info Default
                         : Booking "BDT1" of type "CrossValidation" from cv-multiproc/weights/1-proc_BDT.weights.xml.
                         : Reading weight file: cv-multiproc/weights/1-proc_BDT.weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Signal"
<HEADER> DataSetInfo              : [Default] : Added class "Background"
                         : Reading weightfile: cv-multiproc/weights/1-proc_BDT_fold1.weights.xml
                         : Reading weight file: cv-multiproc/weights/1-proc_BDT_fold1.weights.xml
                         : Reading weightfile: cv-multiproc/weights/1-proc_BDT_fold2.weights.xml
                         : Reading weight file: cv-multiproc/weights/1-proc_BDT_fold2.weights.xml
                         : Booked classifier "BDT" of type: "CrossValidation"
                         : Booking "BDT2" of type "CrossValidation" from cv-multiproc/weights/2-proc_BDT.weights.xml.
                         : Reading weight file: cv-multiproc/weights/2-proc_BDT.weights.xml
                         : Reading weightfile: cv-multiproc/weights/2-proc_BDT_fold1.weights.xml
                         : Reading weight file: cv-multiproc/weights/2-proc_BDT_fold1.weights.xml
                         : Reading weightfile: cv-multiproc/weights/2-proc_BDT_fold2.weights.xml
                         : Reading weight file: cv-multiproc/weights/2-proc_BDT_fold2.weights.xml
                         : Booked classifier "BDT" of type: "CrossValidation"
[       OK ] CrossValidationMultiprocess.EqualOutputTo (1515 ms)
[----------] 1 test from CrossValidationMultiprocess (1515 ms total)

[----------] Global test environment tear-down
[==========] 1 test from 1 test case ran. (1515 ms total)
[  PASSED  ] 1 test.