==> Start TMVAClassificationCategory --- TMVAClassificationCategory: Accessing /github/home/ROOT-CI/src/tutorials/machine_learning/data/toy_sigbkg_categ_offset.root

DataSetInfo : [dataset] : Added class "Signal" : Add Tree TreeS of type Signal with 10000 events

DataSetInfo : [dataset] : Added class "Background" : Add Tree TreeB of type Background with 10000 events

Factory : Booking method: Fisher :

Factory : Booking method: Likelihood :

Factory : Booking method: FisherCat : : Adding sub-classifier: Fisher::Category_Fisher_1

DataSetInfo : [Category_Fisher_1_dsi] : Added class "Signal"

DataSetInfo : [Category_Fisher_1_dsi] : Added class "Background" : Adding sub-classifier: Fisher::Category_Fisher_2

DataSetInfo : [Category_Fisher_2_dsi] : Added class "Signal"

DataSetInfo : [Category_Fisher_2_dsi] : Added class "Background"

Factory : Booking method: LikelihoodCat : : Adding sub-classifier: Likelihood::Category_Likelihood_1

DataSetInfo : [Category_Likelihood_1_dsi] : Added class "Signal"

DataSetInfo : [Category_Likelihood_1_dsi] : Added class "Background" : Adding sub-classifier: Likelihood::Category_Likelihood_2

DataSetInfo : [Category_Likelihood_2_dsi] : Added class "Signal"

DataSetInfo : [Category_Likelihood_2_dsi] : Added class "Background"

Factory : Train all methods : Rebuilding Dataset dataset : 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

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 :

DataSetInfo : Correlation matrix (Signal): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 +0.383 +0.379 +0.387 : var2: +0.383 +1.000 +0.395 +0.402 : var3: +0.379 +0.395 +1.000 +0.388 : var4: +0.387 +0.402 +0.388 +1.000 : ----------------------------------------

DataSetInfo : Correlation matrix (Background): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 +0.362 +0.373 +0.393 : var2: +0.362 +1.000 +0.376 +0.377 : var3: +0.373 +0.376 +1.000 +0.374 : var4: +0.393 +0.377 +0.374 +1.000 : ----------------------------------------

DataSetFactory : [dataset] : :

Factory : Train method: Fisher for Classification :

Fisher : Results for Fisher coefficients: : ----------------------- : Variable: Coefficient: : ----------------------- : var1: -0.056 : var2: -0.015 : var3: +0.098 : var4: +0.215 : (offset): -0.022 : ----------------------- : Elapsed time for training with 10000 events: 0.0016 sec

Fisher : [dataset] : Evaluation of Fisher on training sample (10000 events)

Fisher : [dataset] : Evaluation of Fisher on training sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.000534 sec : Elapsed time for evaluation of 10000 events: 0.00063 sec : Creating xml weight file: dataset/weights/TMVAClassificationCategory_Fisher.weights.xml : Creating standalone class: dataset/weights/TMVAClassificationCategory_Fisher.class.C

Factory : Training finished :

Factory : Train method: Likelihood for Classification : : Filling reference histograms : Building PDF out of reference histograms : Elapsed time for training with 10000 events: 0.0318 sec

Likelihood : [dataset] : Evaluation of Likelihood on training sample (10000 events)

Likelihood : [dataset] : Evaluation of Likelihood on training sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.00442 sec : Elapsed time for evaluation of 10000 events: 0.00455 sec : Creating xml weight file: dataset/weights/TMVAClassificationCategory_Likelihood.weights.xml : Creating standalone class: dataset/weights/TMVAClassificationCategory_Likelihood.class.C : TMVACC.root:/dataset/Method_Likelihood/Likelihood

Factory : Training finished :

Factory : Train method: FisherCat for Classification : : Train all sub-classifiers for Classification ... : Rebuilding Dataset Category_Fisher_1_dsi : 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

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 scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.5123 preselection efficiency) : Dataset[Category_Fisher_1_dsi] : you have opted for scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.5134 preselection efficiency) : 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 :

DataSetInfo : Correlation matrix (Signal): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 -0.006 +0.008 -0.021 : var2: -0.006 +1.000 +0.002 +0.011 : var3: +0.008 +0.002 +1.000 -0.003 : var4: -0.021 +0.011 -0.003 +1.000 : ----------------------------------------

DataSetInfo : Correlation matrix (Background): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 -0.022 -0.027 +0.012 : var2: -0.022 +1.000 -0.013 -0.009 : var3: -0.027 -0.013 +1.000 -0.019 : var4: +0.012 -0.009 -0.019 +1.000 : ----------------------------------------

DataSetFactory : [Category_Fisher_1_dsi] : : : Train method: Category_Fisher_1 for Classification

Category_Fisher_1 : Results for Fisher coefficients: : ----------------------- : Variable: Coefficient: : ----------------------- : var1: +0.106 : var2: +0.152 : var3: +0.254 : var4: +0.379 : (offset): +0.663 : ----------------------- : Elapsed time for training with 5128 events: 0.000732 sec

Category_Fisher_1 : [Category_Fisher_1_dsi] : Evaluation of Category_Fisher_1 on training sample (5128 events)

Category_Fisher_1 : [Category_Fisher_1_dsi] : Evaluation of Category_Fisher_1 on training sample (5128 events) : Elapsed time for evaluation of 5128 events: 0.000342 sec : Elapsed time for evaluation of 5128 events: 0.000435 sec : Training finished : Rebuilding Dataset Category_Fisher_2_dsi : 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

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 scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.4877 preselection efficiency) : Dataset[Category_Fisher_2_dsi] : you have opted for scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.4866 preselection efficiency) : 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 :

DataSetInfo : Correlation matrix (Signal): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 +0.006 -0.029 -0.001 : var2: +0.006 +1.000 +0.015 -0.002 : var3: -0.029 +0.015 +1.000 -0.006 : var4: -0.001 -0.002 -0.006 +1.000 : ----------------------------------------

DataSetInfo : Correlation matrix (Background): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 -0.005 +0.005 +0.012 : var2: -0.005 +1.000 +0.018 +0.029 : var3: +0.005 +0.018 +1.000 -0.001 : var4: +0.012 +0.029 -0.001 +1.000 : ----------------------------------------

DataSetFactory : [Category_Fisher_2_dsi] : : : Train method: Category_Fisher_2 for Classification

Category_Fisher_2 : Results for Fisher coefficients: : ----------------------- : Variable: Coefficient: : ----------------------- : var1: +0.096 : var2: +0.138 : var3: +0.244 : var4: +0.368 : (offset): -0.722 : ----------------------- : Elapsed time for training with 4871 events: 0.000692 sec

Category_Fisher_2 : [Category_Fisher_2_dsi] : Evaluation of Category_Fisher_2 on training sample (4871 events)

Category_Fisher_2 : [Category_Fisher_2_dsi] : Evaluation of Category_Fisher_2 on training sample (4871 events) : Elapsed time for evaluation of 4871 events: 0.000323 sec : Elapsed time for evaluation of 4871 events: 0.000425 sec : Training finished : Begin ranking of input variables...

Category_Fisher_1 : Ranking result (top variable is best ranked) : ------------------------------- : Rank : Variable : Discr. power : ------------------------------- : 1 : var4 : 2.215e-01 : 2 : var3 : 1.132e-01 : 3 : var2 : 4.361e-02 : 4 : var1 : 1.980e-02 : -------------------------------

Category_Fisher_2 : Ranking result (top variable is best ranked) : ------------------------------- : Rank : Variable : Discr. power : ------------------------------- : 1 : var4 : 2.181e-01 : 2 : var3 : 1.067e-01 : 3 : var2 : 4.196e-02 : 4 : var1 : 1.785e-02 : ------------------------------- : Elapsed time for training with 10000 events: 0.0168 sec

FisherCat : [dataset] : Evaluation of FisherCat on training sample (10000 events)

Category_Fisher_1 : [Category_Fisher_1_dsi] : Evaluation of Category_Fisher_1 on training sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.000894 sec

Category_Fisher_2 : [Category_Fisher_2_dsi] : Evaluation of Category_Fisher_2 on training sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.000526 sec : Elapsed time for evaluation of 10000 events: 0.00346 sec : Creating xml weight file: dataset/weights/TMVAClassificationCategory_FisherCat.weights.xml

Factory : Training finished :

Factory : Train method: LikelihoodCat for Classification : : Train all sub-classifiers for Classification ... : Rebuilding Dataset Category_Likelihood_1_dsi : 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

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 scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.5123 preselection efficiency) : Dataset[Category_Likelihood_1_dsi] : you have opted for scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.5134 preselection efficiency) : 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 :

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: 0.0172 sec

Category_Likelihood_1 : [Category_Likelihood_1_dsi] : Evaluation of Category_Likelihood_1 on training sample (5128 events)

Category_Likelihood_1 : [Category_Likelihood_1_dsi] : Evaluation of Category_Likelihood_1 on training sample (5128 events) : Elapsed time for evaluation of 5128 events: 0.00225 sec : Elapsed time for evaluation of 5128 events: 0.00237 sec : TMVACC.root:/dataset/Method_Category/LikelihoodCat/Method_Likelihood/Category_Likelihood_1 : Training finished : Rebuilding Dataset Category_Likelihood_2_dsi : 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

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 scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.4877 preselection efficiency) : Dataset[Category_Likelihood_2_dsi] : you have opted for scaling the number of requested training/testing events : to be scaled by the preselection efficiency : ( 0 * 0.4866 preselection efficiency) : 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 :

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: 0.0164 sec

Category_Likelihood_2 : [Category_Likelihood_2_dsi] : Evaluation of Category_Likelihood_2 on training sample (4871 events)

Category_Likelihood_2 : [Category_Likelihood_2_dsi] : Evaluation of Category_Likelihood_2 on training sample (4871 events) : Elapsed time for evaluation of 4871 events: 0.00215 sec : Elapsed time for evaluation of 4871 events: 0.00227 sec : TMVACC.root:/dataset/Method_Category/LikelihoodCat/Method_Likelihood/Category_Likelihood_2 : Training finished : Begin ranking of input variables...

Category_Likelihood_1 : Ranking result (top variable is best ranked) : ----------------------------------- : Rank : Variable : Delta Separation : ----------------------------------- : 1 : var4 : 1.323e-01 : 2 : var3 : 4.844e-02 : 3 : var1 : 1.142e-02 : 4 : var2 : -4.784e-03 : -----------------------------------

Category_Likelihood_2 : Ranking result (top variable is best ranked) : ----------------------------------- : Rank : Variable : Delta Separation : ----------------------------------- : 1 : var4 : 1.499e-01 : 2 : var3 : 7.807e-02 : 3 : var1 : 3.076e-02 : 4 : var2 : 2.257e-02 : ----------------------------------- : Elapsed time for training with 10000 events: 0.109 sec

LikelihoodCat : [dataset] : Evaluation of LikelihoodCat on training sample (10000 events)

Category_Likelihood_1 : [Category_Likelihood_1_dsi] : Evaluation of Category_Likelihood_1 on training sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.00478 sec

Category_Likelihood_2 : [Category_Likelihood_2_dsi] : Evaluation of Category_Likelihood_2 on training sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.00405 sec : Elapsed time for evaluation of 10000 events: 0.0105 sec : Creating xml weight file: dataset/weights/TMVAClassificationCategory_LikelihoodCat.weights.xml

Factory : Training finished : : Ranking input variables (method specific)...

Fisher : Ranking result (top variable is best ranked) : ------------------------------- : Rank : Variable : Discr. power : ------------------------------- : 1 : var4 : 1.447e-01 : 2 : var3 : 7.194e-02 : 3 : var2 : 2.379e-02 : 4 : var1 : 1.174e-02 : -------------------------------

Likelihood : Ranking result (top variable is best ranked) : ----------------------------------- : Rank : Variable : Delta Separation : ----------------------------------- : 1 : var4 : 9.871e-02 : 2 : var3 : 5.677e-02 : 3 : var2 : 3.563e-02 : 4 : var1 : 1.914e-02 : ----------------------------------- : No variable ranking supplied by classifier: FisherCat : No variable ranking supplied by classifier: LikelihoodCat

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

DataSetInfo : [Category_Fisher_1_dsi] : Added class "Signal"

DataSetInfo : [Category_Fisher_1_dsi] : Added class "Background"

DataSetInfo : [Category_Fisher_2_dsi] : Added class "Signal"

DataSetInfo : [Category_Fisher_2_dsi] : Added class "Background" : Reading weight file: dataset/weights/TMVAClassificationCategory_LikelihoodCat.weights.xml : Recreating sub-classifiers from XML-file

DataSetInfo : [Category_Likelihood_1_dsi] : Added class "Signal"

DataSetInfo : [Category_Likelihood_1_dsi] : Added class "Background"

DataSetInfo : [Category_Likelihood_2_dsi] : Added class "Signal"

DataSetInfo : [Category_Likelihood_2_dsi] : Added class "Background"

Factory : Test all methods

Factory : Test method: Fisher for Classification performance :

Fisher : [dataset] : Evaluation of Fisher on testing sample (10000 events)

Fisher : [dataset] : Evaluation of Fisher on testing sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.00129 sec : Elapsed time for evaluation of 10000 events: 0.00139 sec

Factory : Test method: Likelihood for Classification performance :

Likelihood : [dataset] : Evaluation of Likelihood on testing sample (10000 events)

Likelihood : [dataset] : Evaluation of Likelihood on testing sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.00413 sec : Elapsed time for evaluation of 10000 events: 0.00423 sec

Factory : Test method: FisherCat for Classification performance :

FisherCat : [dataset] : Evaluation of FisherCat on testing sample (10000 events)

Category_Fisher_1 : [Category_Fisher_1_dsi] : Evaluation of Category_Fisher_1 on testing sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.000528 sec

Category_Fisher_2 : [Category_Fisher_2_dsi] : Evaluation of Category_Fisher_2 on testing sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.000481 sec : Elapsed time for evaluation of 10000 events: 0.00207 sec

Factory : Test method: LikelihoodCat for Classification performance :

LikelihoodCat : [dataset] : Evaluation of LikelihoodCat on testing sample (10000 events)

Category_Likelihood_1 : [Category_Likelihood_1_dsi] : Evaluation of Category_Likelihood_1 on testing sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.00393 sec

Category_Likelihood_2 : [Category_Likelihood_2_dsi] : Evaluation of Category_Likelihood_2 on testing sample (10000 events) : Elapsed time for evaluation of 10000 events: 0.00389 sec : Elapsed time for evaluation of 10000 events: 0.00876 sec

Factory : Evaluate all methods

Factory : Evaluate classifier: Fisher :

Fisher : [dataset] : Loop over test events and fill histograms with classifier response... :

TFHandler_Fisher : Variable Mean RMS [ Min Max ] : ----------------------------------------------------------- : var1: 0.010009 1.2852 [ -5.3119 4.5609 ] : var2: 0.0034020 1.3067 [ -4.1946 4.6723 ] : var3: -0.0054637 1.3764 [ -4.5297 4.8202 ] : var4: 0.13424 1.4680 [ -5.1002 4.9850 ] : -----------------------------------------------------------

Factory : Evaluate classifier: Likelihood :

Likelihood : [dataset] : Loop over test events and fill histograms with classifier response... :

TFHandler_Likelihood : Variable Mean RMS [ Min Max ] : ----------------------------------------------------------- : var1: 0.010009 1.2852 [ -5.3119 4.5609 ] : var2: 0.0034020 1.3067 [ -4.1946 4.6723 ] : var3: -0.0054637 1.3764 [ -4.5297 4.8202 ] : var4: 0.13424 1.4680 [ -5.1002 4.9850 ] : -----------------------------------------------------------

Factory : Evaluate classifier: FisherCat :

FisherCat : [dataset] : Loop over test events and fill histograms with classifier response... :

TFHandler_FisherCat : Variable Mean RMS [ Min Max ] : ----------------------------------------------------------- : var1: 0.010009 1.2852 [ -5.3119 4.5609 ] : var2: 0.0034020 1.3067 [ -4.1946 4.6723 ] : var3: -0.0054637 1.3764 [ -4.5297 4.8202 ] : var4: 0.13424 1.4680 [ -5.1002 4.9850 ] : -----------------------------------------------------------

Factory : Evaluate classifier: LikelihoodCat :

LikelihoodCat : [dataset] : Loop over test events and fill histograms with classifier response... :

TFHandler_LikelihoodCat : Variable Mean RMS [ Min Max ] : ----------------------------------------------------------- : var1: 0.010009 1.2852 [ -5.3119 4.5609 ] : var2: 0.0034020 1.3067 [ -4.1946 4.6723 ] : var3: -0.0054637 1.3764 [ -4.5297 4.8202 ] : var4: 0.13424 1.4680 [ -5.1002 4.9850 ] : ----------------------------------------------------------- : : Evaluation results ranked by best signal efficiency and purity (area) : ------------------------------------------------------------------------------------------------------------------- : DataSet MVA : Name: Method: ROC-integ : dataset FisherCat : 0.913 : dataset LikelihoodCat : 0.912 : dataset Fisher : 0.807 : dataset Likelihood : 0.769 : ------------------------------------------------------------------------------------------------------------------- : : 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 : 0.342 (0.362) 0.752 (0.744) 0.916 (0.921) : dataset LikelihoodCat : 0.345 (0.350) 0.750 (0.744) 0.915 (0.920) : dataset Fisher : 0.185 (0.178) 0.475 (0.487) 0.746 (0.748) : dataset Likelihood : 0.212 (0.226) 0.454 (0.455) 0.602 (0.620) : ------------------------------------------------------------------------------------------------------------------- :

Dataset:dataset : Created tree 'TestTree' with 10000 events :

Dataset:dataset : Created tree 'TrainTree' with 10000 events :

Factory : Thank you for using TMVA! : For citation information, please visit: http://tmva.sf.net/citeTMVA.html ==> Wrote root file: TMVACC.root ==> TMVAClassificationCategory is done!