Execution Time4.03s

Test: tutorial-tmva-TMVAClassificationCategory (Passed)
Build: master-x86_64-mac1014-clang100-opt-exp-pyroot (macphsft17.dyndns.cern.ch) on 2020-01-25 03:46:38

Test Timing: Passed
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Test output
Processing /build/jenkins/night/LABEL/mac1014/SPEC/default/root/tutorials/tmva/TMVAClassificationCategory.C...

==> Start TMVAClassificationCategory
create data set info dataset
--- TMVAClassificationCategory: Accessing /build/jenkins/night/LABEL/mac1014/SPEC/default/root/tutorials/tmva/data/toy_sigbkg_categ_offset.root
<HEADER> DataSetInfo              : [dataset] : Added class "Signal"
                         : Add Tree TreeS of type Signal with 10000 events
<HEADER> DataSetInfo              : [dataset] : Added class "Background"
                         : Add Tree TreeB of type Background with 10000 events
<HEADER> Factory                  : Booking method: Fisher
                         : 
<HEADER> Factory                  : Booking method: Likelihood
                         : 
<HEADER> Factory                  : Booking method: FisherCat
                         : 
                         : Adding sub-classifier: Fisher::Category_Fisher_1
create data set info Category_Fisher_1_dsi
<HEADER> DataSetInfo              : [Category_Fisher_1_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Fisher_1_dsi] : Added class "Background"
                         : Adding sub-classifier: Fisher::Category_Fisher_2
create data set info Category_Fisher_2_dsi
<HEADER> DataSetInfo              : [Category_Fisher_2_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Fisher_2_dsi] : Added class "Background"
<HEADER> Factory                  : Booking method: LikelihoodCat
                         : 
                         : Adding sub-classifier: Likelihood::Category_Likelihood_1
create data set info Category_Likelihood_1_dsi
<HEADER> DataSetInfo              : [Category_Likelihood_1_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Likelihood_1_dsi] : Added class "Background"
                         : Adding sub-classifier: Likelihood::Category_Likelihood_2
create data set info Category_Likelihood_2_dsi
<HEADER> DataSetInfo              : [Category_Likelihood_2_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Likelihood_2_dsi] : Added class "Background"
<HEADER> Factory                  : Train all methods
                         : Building event vectors for type 2 Signal
                         : Dataset[dataset] :  create input formulas for tree TreeS
                         : Building event vectors for type 2 Background
                         : Dataset[dataset] :  create input formulas for tree TreeB
<HEADER> DataSetFactory           : [dataset] : Number of events in input trees
                         : 
                         : 
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Signal     -- training events            : 5000
                         : Signal     -- testing events             : 5000
                         : Signal     -- training and testing events: 10000
                         : Background -- training events            : 5000
                         : Background -- testing events             : 5000
                         : Background -- training and testing events: 10000
                         : 
<HEADER> DataSetInfo              : Correlation matrix (Signal):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  +0.374  +0.379  +0.379
                         :    var2:  +0.374  +1.000  +0.390  +0.392
                         :    var3:  +0.379  +0.390  +1.000  +0.388
                         :    var4:  +0.379  +0.392  +0.388  +1.000
                         : ----------------------------------------
<HEADER> DataSetInfo              : Correlation matrix (Background):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  +0.380  +0.368  +0.386
                         :    var2:  +0.380  +1.000  +0.381  +0.401
                         :    var3:  +0.368  +0.381  +1.000  +0.374
                         :    var4:  +0.386  +0.401  +0.374  +1.000
                         : ----------------------------------------
<HEADER> DataSetFactory           : [dataset] :  
                         : 
<HEADER> Factory                  : Train method: Fisher for Classification
                         : 
<HEADER> Fisher                   : Results for Fisher coefficients:
                         : -----------------------
                         : Variable:  Coefficient:
                         : -----------------------
                         :     var1:       -0.056
                         :     var2:       -0.007
                         :     var3:       +0.096
                         :     var4:       +0.213
                         : (offset):       -0.025
                         : -----------------------
                         : Elapsed time for training with 10000 events: 0.00527 sec         
<HEADER> Fisher                   : [dataset] : Evaluation of Fisher on training sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.00186 sec       
                         : Creating xml weight file: dataset/weights/TMVAClassificationCategory_Fisher.weights.xml
                         : Creating standalone class: dataset/weights/TMVAClassificationCategory_Fisher.class.C
<HEADER> Factory                  : Training finished
                         : 
<HEADER> Factory                  : Train method: Likelihood for Classification
                         : 
                         : Filling reference histograms
                         : Building PDF out of reference histograms
                         : Elapsed time for training with 10000 events: 0.059 sec         
<HEADER> Likelihood               : [dataset] : Evaluation of Likelihood on training sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.0112 sec       
                         : Creating xml weight file: dataset/weights/TMVAClassificationCategory_Likelihood.weights.xml
                         : Creating standalone class: dataset/weights/TMVAClassificationCategory_Likelihood.class.C
                         : TMVA.root:/dataset/Method_Likelihood/Likelihood
<HEADER> Factory                  : Training finished
                         : 
<HEADER> Factory                  : Train method: FisherCat for Classification
                         : 
                         : Train all sub-classifiers for Classification ...
                         : Building event vectors for type 2 Signal
                         : Dataset[Category_Fisher_1_dsi] :  create input formulas for tree TreeS
                         : Building event vectors for type 2 Background
                         : Dataset[Category_Fisher_1_dsi] :  create input formulas for tree TreeB
<HEADER> DataSetFactory           : [Category_Fisher_1_dsi] : Number of events in input trees
                         : Dataset[Category_Fisher_1_dsi] :     Signal     requirement: "abs(eta)<=1.3"
                         : Dataset[Category_Fisher_1_dsi] :     Signal          -- number of events passed: 5123   / sum of weights: 5123 
                         : Dataset[Category_Fisher_1_dsi] :     Signal          -- efficiency             : 0.5123
                         : Dataset[Category_Fisher_1_dsi] :     Background requirement: "abs(eta)<=1.3"
                         : Dataset[Category_Fisher_1_dsi] :     Background      -- number of events passed: 5134   / sum of weights: 5134 
                         : Dataset[Category_Fisher_1_dsi] :     Background      -- efficiency             : 0.5134
                         : Dataset[Category_Fisher_1_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[Category_Fisher_1_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Signal     -- training events            : 2561
                         : Signal     -- testing events             : 2561
                         : Signal     -- training and testing events: 5122
                         : Dataset[Category_Fisher_1_dsi] : Signal     -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.5123
                         : Background -- training events            : 2567
                         : Background -- testing events             : 2567
                         : Background -- training and testing events: 5134
                         : Dataset[Category_Fisher_1_dsi] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.5134
                         : 
<HEADER> DataSetInfo              : Correlation matrix (Signal):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  +0.000  -0.029  -0.018
                         :    var2:  +0.000  +1.000  -0.022  +0.029
                         :    var3:  -0.029  -0.022  +1.000  -0.010
                         :    var4:  -0.018  +0.029  -0.010  +1.000
                         : ----------------------------------------
<HEADER> DataSetInfo              : Correlation matrix (Background):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  -0.011  -0.020  +0.010
                         :    var2:  -0.011  +1.000  -0.004  +0.025
                         :    var3:  -0.020  -0.004  +1.000  -0.015
                         :    var4:  +0.010  +0.025  -0.015  +1.000
                         : ----------------------------------------
<HEADER> DataSetFactory           : [Category_Fisher_1_dsi] :  
                         : 
                         : Train method: Category_Fisher_1 for Classification
<HEADER> Category_Fisher_1        : Results for Fisher coefficients:
                         : -----------------------
                         : Variable:  Coefficient:
                         : -----------------------
                         :     var1:       +0.094
                         :     var2:       +0.137
                         :     var3:       +0.254
                         :     var4:       +0.371
                         : (offset):       +0.623
                         : -----------------------
                         : Elapsed time for training with 5128 events: 0.00249 sec         
<HEADER> Category_Fisher_1        : [Category_Fisher_1_dsi] : Evaluation of Category_Fisher_1 on training sample (5128 events)
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                         : Elapsed time for evaluation of 5128 events: 0.00093 sec       
                         : Training finished
                         : Building event vectors for type 2 Signal
                         : Dataset[Category_Fisher_2_dsi] :  create input formulas for tree TreeS
                         : Building event vectors for type 2 Background
                         : Dataset[Category_Fisher_2_dsi] :  create input formulas for tree TreeB
<HEADER> DataSetFactory           : [Category_Fisher_2_dsi] : Number of events in input trees
                         : Dataset[Category_Fisher_2_dsi] :     Signal     requirement: "abs(eta)>1.3"
                         : Dataset[Category_Fisher_2_dsi] :     Signal          -- number of events passed: 4877   / sum of weights: 4877 
                         : Dataset[Category_Fisher_2_dsi] :     Signal          -- efficiency             : 0.4877
                         : Dataset[Category_Fisher_2_dsi] :     Background requirement: "abs(eta)>1.3"
                         : Dataset[Category_Fisher_2_dsi] :     Background      -- number of events passed: 4866   / sum of weights: 4866 
                         : Dataset[Category_Fisher_2_dsi] :     Background      -- efficiency             : 0.4866
                         : Dataset[Category_Fisher_2_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[Category_Fisher_2_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Signal     -- training events            : 2438
                         : Signal     -- testing events             : 2438
                         : Signal     -- training and testing events: 4876
                         : Dataset[Category_Fisher_2_dsi] : Signal     -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.4877
                         : Background -- training events            : 2433
                         : Background -- testing events             : 2433
                         : Background -- training and testing events: 4866
                         : Dataset[Category_Fisher_2_dsi] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.4866
                         : 
<HEADER> DataSetInfo              : Correlation matrix (Signal):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  -0.013  -0.021  -0.013
                         :    var2:  -0.013  +1.000  +0.010  +0.008
                         :    var3:  -0.021  +0.010  +1.000  +0.003
                         :    var4:  -0.013  +0.008  +0.003  +1.000
                         : ----------------------------------------
<HEADER> DataSetInfo              : Correlation matrix (Background):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  +0.020  -0.014  +0.020
                         :    var2:  +0.020  +1.000  +0.014  +0.013
                         :    var3:  -0.014  +0.014  +1.000  -0.010
                         :    var4:  +0.020  +0.013  -0.010  +1.000
                         : ----------------------------------------
<HEADER> DataSetFactory           : [Category_Fisher_2_dsi] :  
                         : 
                         : Train method: Category_Fisher_2 for Classification
<HEADER> Category_Fisher_2        : Results for Fisher coefficients:
                         : -----------------------
                         : Variable:  Coefficient:
                         : -----------------------
                         :     var1:       +0.111
                         :     var2:       +0.141
                         :     var3:       +0.257
                         :     var4:       +0.362
                         : (offset):       -0.738
                         : -----------------------
                         : Elapsed time for training with 4871 events: 0.00249 sec         
<HEADER> Category_Fisher_2        : [Category_Fisher_2_dsi] : Evaluation of Category_Fisher_2 on training sample (4871 events)
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                         : Elapsed time for evaluation of 4871 events: 0.000772 sec       
                         : Training finished
                         : Begin ranking of input variables...
<HEADER> Category_Fisher_1        : Ranking result (top variable is best ranked)
                         : -------------------------------
                         : Rank : Variable  : Discr. power
                         : -------------------------------
                         :    1 : var4      : 2.180e-01
                         :    2 : var3      : 1.102e-01
                         :    3 : var2      : 3.978e-02
                         :    4 : var1      : 1.489e-02
                         : -------------------------------
<HEADER> Category_Fisher_2        : Ranking result (top variable is best ranked)
                         : -------------------------------
                         : Rank : Variable  : Discr. power
                         : -------------------------------
                         :    1 : var4      : 2.118e-01
                         :    2 : var3      : 1.150e-01
                         :    3 : var2      : 4.217e-02
                         :    4 : var1      : 2.280e-02
                         : -------------------------------
                         : Elapsed time for training with 10000 events: 0.0519 sec         
<HEADER> FisherCat                : [dataset] : Evaluation of FisherCat on training sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.00416 sec       
                         : Creating xml weight file: dataset/weights/TMVAClassificationCategory_FisherCat.weights.xml
<HEADER> Factory                  : Training finished
                         : 
<HEADER> Factory                  : Train method: LikelihoodCat for Classification
                         : 
                         : Train all sub-classifiers for Classification ...
                         : Building event vectors for type 2 Signal
                         : Dataset[Category_Likelihood_1_dsi] :  create input formulas for tree TreeS
                         : Building event vectors for type 2 Background
                         : Dataset[Category_Likelihood_1_dsi] :  create input formulas for tree TreeB
<HEADER> DataSetFactory           : [Category_Likelihood_1_dsi] : Number of events in input trees
                         : Dataset[Category_Likelihood_1_dsi] :     Signal     requirement: "abs(eta)<=1.3"
                         : Dataset[Category_Likelihood_1_dsi] :     Signal          -- number of events passed: 5123   / sum of weights: 5123 
                         : Dataset[Category_Likelihood_1_dsi] :     Signal          -- efficiency             : 0.5123
                         : Dataset[Category_Likelihood_1_dsi] :     Background requirement: "abs(eta)<=1.3"
                         : Dataset[Category_Likelihood_1_dsi] :     Background      -- number of events passed: 5134   / sum of weights: 5134 
                         : Dataset[Category_Likelihood_1_dsi] :     Background      -- efficiency             : 0.5134
                         : Dataset[Category_Likelihood_1_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[Category_Likelihood_1_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Signal     -- training events            : 2561
                         : Signal     -- testing events             : 2561
                         : Signal     -- training and testing events: 5122
                         : Dataset[Category_Likelihood_1_dsi] : Signal     -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.5123
                         : Background -- training events            : 2567
                         : Background -- testing events             : 2567
                         : Background -- training and testing events: 5134
                         : Dataset[Category_Likelihood_1_dsi] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.5134
                         : 
<HEADER> DataSetInfo              : Correlation matrix (Signal):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  +0.000  -0.029  -0.018
                         :    var2:  +0.000  +1.000  -0.022  +0.029
                         :    var3:  -0.029  -0.022  +1.000  -0.010
                         :    var4:  -0.018  +0.029  -0.010  +1.000
                         : ----------------------------------------
<HEADER> DataSetInfo              : Correlation matrix (Background):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  -0.011  -0.020  +0.010
                         :    var2:  -0.011  +1.000  -0.004  +0.025
                         :    var3:  -0.020  -0.004  +1.000  -0.015
                         :    var4:  +0.010  +0.025  -0.015  +1.000
                         : ----------------------------------------
<HEADER> DataSetFactory           : [Category_Likelihood_1_dsi] :  
                         : 
                         : Train method: Category_Likelihood_1 for Classification
                         : Filling reference histograms
                         : Building PDF out of reference histograms
                         : Elapsed time for training with 5128 events: 0.0333 sec         
<HEADER> Category_Likelihood_1    : [Category_Likelihood_1_dsi] : Evaluation of Category_Likelihood_1 on training sample (5128 events)
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                         : Elapsed time for evaluation of 5128 events: 0.00545 sec       
                         : TMVA.root:/dataset/Method_Category/LikelihoodCat/Method_Likelihood/Category_Likelihood_1
                         : Training finished
                         : Building event vectors for type 2 Signal
                         : Dataset[Category_Likelihood_2_dsi] :  create input formulas for tree TreeS
                         : Building event vectors for type 2 Background
                         : Dataset[Category_Likelihood_2_dsi] :  create input formulas for tree TreeB
<HEADER> DataSetFactory           : [Category_Likelihood_2_dsi] : Number of events in input trees
                         : Dataset[Category_Likelihood_2_dsi] :     Signal     requirement: "abs(eta)>1.3"
                         : Dataset[Category_Likelihood_2_dsi] :     Signal          -- number of events passed: 4877   / sum of weights: 4877 
                         : Dataset[Category_Likelihood_2_dsi] :     Signal          -- efficiency             : 0.4877
                         : Dataset[Category_Likelihood_2_dsi] :     Background requirement: "abs(eta)>1.3"
                         : Dataset[Category_Likelihood_2_dsi] :     Background      -- number of events passed: 4866   / sum of weights: 4866 
                         : Dataset[Category_Likelihood_2_dsi] :     Background      -- efficiency             : 0.4866
                         : Dataset[Category_Likelihood_2_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Dataset[Category_Likelihood_2_dsi] :  you have opted for interpreting the requested number of training/testing events
                         :  to be the number of events AFTER your preselection cuts
                         : 
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Signal     -- training events            : 2438
                         : Signal     -- testing events             : 2438
                         : Signal     -- training and testing events: 4876
                         : Dataset[Category_Likelihood_2_dsi] : Signal     -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.4877
                         : Background -- training events            : 2433
                         : Background -- testing events             : 2433
                         : Background -- training and testing events: 4866
                         : Dataset[Category_Likelihood_2_dsi] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.4866
                         : 
<HEADER> DataSetInfo              : Correlation matrix (Signal):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  -0.013  -0.021  -0.013
                         :    var2:  -0.013  +1.000  +0.010  +0.008
                         :    var3:  -0.021  +0.010  +1.000  +0.003
                         :    var4:  -0.013  +0.008  +0.003  +1.000
                         : ----------------------------------------
<HEADER> DataSetInfo              : Correlation matrix (Background):
                         : ----------------------------------------
                         :             var1    var2    var3    var4
                         :    var1:  +1.000  +0.020  -0.014  +0.020
                         :    var2:  +0.020  +1.000  +0.014  +0.013
                         :    var3:  -0.014  +0.014  +1.000  -0.010
                         :    var4:  +0.020  +0.013  -0.010  +1.000
                         : ----------------------------------------
<HEADER> DataSetFactory           : [Category_Likelihood_2_dsi] :  
                         : 
                         : Train method: Category_Likelihood_2 for Classification
                         : Filling reference histograms
                         : Building PDF out of reference histograms
                         : Elapsed time for training with 4871 events: 0.032 sec         
<HEADER> Category_Likelihood_2    : [Category_Likelihood_2_dsi] : Evaluation of Category_Likelihood_2 on training sample (4871 events)
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                         : Elapsed time for evaluation of 4871 events: 0.00587 sec       
                         : TMVA.root:/dataset/Method_Category/LikelihoodCat/Method_Likelihood/Category_Likelihood_2
                         : Training finished
                         : Begin ranking of input variables...
<HEADER> Category_Likelihood_1    : Ranking result (top variable is best ranked)
                         : -----------------------------------
                         : Rank : Variable  : Delta Separation
                         : -----------------------------------
                         :    1 : var4      : 1.199e-01
                         :    2 : var3      : 2.933e-02
                         :    3 : var1      : 8.381e-03
                         :    4 : var2      : -2.754e-03
                         : -----------------------------------
<HEADER> Category_Likelihood_2    : Ranking result (top variable is best ranked)
                         : -----------------------------------
                         : Rank : Variable  : Delta Separation
                         : -----------------------------------
                         :    1 : var4      : 1.534e-01
                         :    2 : var3      : 8.684e-02
                         :    3 : var2      : 1.025e-02
                         :    4 : var1      : 6.101e-03
                         : -----------------------------------
                         : Elapsed time for training with 10000 events: 0.316 sec         
<HEADER> LikelihoodCat            : [dataset] : Evaluation of LikelihoodCat on training sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.0124 sec       
                         : Creating xml weight file: dataset/weights/TMVAClassificationCategory_LikelihoodCat.weights.xml
<HEADER> Factory                  : Training finished
                         : 
                         : Ranking input variables (method specific)...
<HEADER> Fisher                   : Ranking result (top variable is best ranked)
                         : -------------------------------
                         : Rank : Variable  : Discr. power
                         : -------------------------------
                         :    1 : var4      : 1.435e-01
                         :    2 : var3      : 7.250e-02
                         :    3 : var2      : 2.819e-02
                         :    4 : var1      : 1.150e-02
                         : -------------------------------
<HEADER> Likelihood               : Ranking result (top variable is best ranked)
                         : -----------------------------------
                         : Rank : Variable  : Delta Separation
                         : -----------------------------------
                         :    1 : var4      : 9.482e-02
                         :    2 : var3      : 6.650e-02
                         :    3 : var2      : 3.446e-02
                         :    4 : var1      : 2.450e-02
                         : -----------------------------------
                         : No variable ranking supplied by classifier: FisherCat
                         : No variable ranking supplied by classifier: LikelihoodCat
<HEADER> Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: dataset/weights/TMVAClassificationCategory_Fisher.weights.xml
                         : Reading weight file: dataset/weights/TMVAClassificationCategory_Likelihood.weights.xml
                         : Reading weight file: dataset/weights/TMVAClassificationCategory_FisherCat.weights.xml
                         : Recreating sub-classifiers from XML-file 
create data set info Category_Fisher_1_dsi
<HEADER> DataSetInfo              : [Category_Fisher_1_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Fisher_1_dsi] : Added class "Background"
create data set info Category_Fisher_2_dsi
<HEADER> DataSetInfo              : [Category_Fisher_2_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Fisher_2_dsi] : Added class "Background"
                         : Reading weight file: dataset/weights/TMVAClassificationCategory_LikelihoodCat.weights.xml
                         : Recreating sub-classifiers from XML-file 
create data set info Category_Likelihood_1_dsi
<HEADER> DataSetInfo              : [Category_Likelihood_1_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Likelihood_1_dsi] : Added class "Background"
create data set info Category_Likelihood_2_dsi
<HEADER> DataSetInfo              : [Category_Likelihood_2_dsi] : Added class "Signal"
<HEADER> DataSetInfo              : [Category_Likelihood_2_dsi] : Added class "Background"
<HEADER> Factory                  : Test all methods
<HEADER> Factory                  : Test method: Fisher for Classification performance
                         : 
<HEADER> Fisher                   : [dataset] : Evaluation of Fisher on testing sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.00179 sec       
<HEADER> Factory                  : Test method: Likelihood for Classification performance
                         : 
<HEADER> Likelihood               : [dataset] : Evaluation of Likelihood on testing sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.0104 sec       
<HEADER> Factory                  : Test method: FisherCat for Classification performance
                         : 
<HEADER> FisherCat                : [dataset] : Evaluation of FisherCat on testing sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.0042 sec       
<HEADER> Factory                  : Test method: LikelihoodCat for Classification performance
                         : 
<HEADER> LikelihoodCat            : [dataset] : Evaluation of LikelihoodCat on testing sample (10000 events)
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                         : Elapsed time for evaluation of 10000 events: 0.0123 sec       
<HEADER> Factory                  : Evaluate all methods
<HEADER> Factory                  : Evaluate classifier: Fisher
                         : 
<HEADER> Fisher                   : [dataset] : Loop over test events and fill histograms with classifier response...
                         : 
<HEADER> TFHandler_Fisher         : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:  -0.032341     1.2973   [    -4.2901     4.5609 ]
                         :     var2:  -0.027742     1.3104   [    -4.2630     4.6723 ]
                         :     var3:  -0.035524     1.3704   [    -5.2892     4.8202 ]
                         :     var4:    0.11685     1.4888   [    -5.1002     4.9384 ]
                         : -----------------------------------------------------------
<HEADER> Factory                  : Evaluate classifier: Likelihood
                         : 
<HEADER> Likelihood               : [dataset] : Loop over test events and fill histograms with classifier response...
                         : 
<HEADER> TFHandler_Likelihood     : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:  -0.032341     1.2973   [    -4.2901     4.5609 ]
                         :     var2:  -0.027742     1.3104   [    -4.2630     4.6723 ]
                         :     var3:  -0.035524     1.3704   [    -5.2892     4.8202 ]
                         :     var4:    0.11685     1.4888   [    -5.1002     4.9384 ]
                         : -----------------------------------------------------------
<HEADER> Factory                  : Evaluate classifier: FisherCat
                         : 
<HEADER> FisherCat                : [dataset] : Loop over test events and fill histograms with classifier response...
                         : 
<HEADER> TFHandler_FisherCat      : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:  -0.032341     1.2973   [    -4.2901     4.5609 ]
                         :     var2:  -0.027742     1.3104   [    -4.2630     4.6723 ]
                         :     var3:  -0.035524     1.3704   [    -5.2892     4.8202 ]
                         :     var4:    0.11685     1.4888   [    -5.1002     4.9384 ]
                         : -----------------------------------------------------------
<HEADER> Factory                  : Evaluate classifier: LikelihoodCat
                         : 
<HEADER> LikelihoodCat            : [dataset] : Loop over test events and fill histograms with classifier response...
                         : 
<HEADER> TFHandler_LikelihoodCat  : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:  -0.032341     1.2973   [    -4.2901     4.5609 ]
                         :     var2:  -0.027742     1.3104   [    -4.2630     4.6723 ]
                         :     var3:  -0.035524     1.3704   [    -5.2892     4.8202 ]
                         :     var4:    0.11685     1.4888   [    -5.1002     4.9384 ]
                         : -----------------------------------------------------------
                         : 
                         : Evaluation results ranked by best signal efficiency and purity (area)
                         : -------------------------------------------------------------------------------------------------------------------
                         : DataSet       MVA                       
                         : Name:         Method:          ROC-integ
                         : dataset       FisherCat      : 0.915
                         : dataset       LikelihoodCat  : 0.913
                         : dataset       Fisher         : 0.808
                         : dataset       Likelihood     : 0.768
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
                         : 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              FisherCat      : 0.365 (0.333)       0.743 (0.732)      0.920 (0.915)
                         : dataset              LikelihoodCat  : 0.354 (0.332)       0.743 (0.737)      0.919 (0.915)
                         : dataset              Fisher         : 0.177 (0.179)       0.485 (0.478)      0.738 (0.738)
                         : dataset              Likelihood     : 0.213 (0.206)       0.439 (0.434)      0.611 (0.605)
                         : -------------------------------------------------------------------------------------------------------------------
                         : 
<HEADER> Dataset:dataset          : Created tree 'TestTree' with 10000 events
                         : 
<HEADER> Dataset:dataset          : Created tree 'TrainTree' with 10000 events
                         : 
<HEADER> Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
==> Wrote root file: TMVA.root
==> TMVAClassificationCategory is done!