Execution Time13.78s

Test: tutorial-tmva-TMVACrossValidationRegression (Passed)
Build: master-x86_64-centos7-clang100-opt-no-rt-cxxmodules (olsnba08.cern.ch) on 2019-11-14 01:39:53
Repository revision: 32b17abcda23e44b64218a42d0ca69cb30cda7e0

Test Timing: Passed
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Processing /data/sftnight/workspace/root-benchmark-no-rt-cxxmodules/BUILDTYPE/Release/COMPILER/clang_gcc62/LABEL/performance-sandy-cc7/root/tutorials/tmva/TMVACrossValidationRegression.C...
create data set info dataset
DataSetInfo              : [dataset] : Added class "Regression"
                         : Add Tree TreeR of type Regression with 10000 events
--- TMVACrossValidationRegression: Using input file: ./files/tmva_reg_example.root
                         : Dataset[dataset] : Class index : 0  name : Regression
<HEADER> Factory                  : You are running ROOT Version: 6.19/01, May 29, 2019
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                         :  _/        _|      _|    _|  _|    _|    _| 
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                         : 
                         : ___________TMVA Version 4.2.1, Feb 5, 2015
                         : 
                         : Building event vectors for type 2 Regression
                         : Dataset[dataset] :  create input formulas for tree TreeR
<HEADER> DataSetFactory           : [dataset] : Number of events in input trees
                         : 
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 9999
                         : Regression -- testing events             : 1
                         : Regression -- training and testing events: 10000
                         : 
<HEADER> DataSetInfo              : Correlation matrix (Regression):
                         : ------------------------
                         :             var1    var2
                         :    var1:  +1.000  +0.002
                         :    var2:  +0.002  +1.000
                         : ------------------------
<HEADER> DataSetFactory           : [dataset] :  
                         : 
                         : 
                         : 
                         : ========================================
                         : Processing folds for method BDTG
                         : ========================================
                         : 
<HEADER> Factory                  : Booking method: BDTG_fold1
                         : 
                         : the option NegWeightTreatment=InverseBoostNegWeights does not exist for BoostType=Grad
                         : --> change to new default NegWeightTreatment=Pray
                         : Regression Loss Function: Huber
                         : Training 500 Decision Trees ... patience please
                         : Elapsed time for training with 4999 events: 2.15 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of BDTG_fold1 on training sample
                         : Dataset[dataset] : Elapsed time for evaluation of 4999 events: 0.351 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: dataset/weights/TMVACrossValidationRegression_BDTG_fold1.weights.xml
<HEADER> Factory                  : Test all methods
<HEADER> Factory                  : Test method: BDTG_fold1 for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of BDTG_fold1 on testing sample
                         : Dataset[dataset] : Elapsed time for evaluation of 5000 events: 0.417 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
<HEADER> Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTG_fold1
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 5000 events: 0.422 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 4999 events: 0.396 sec       
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : dataset              BDTG_fold1     :   0.0808   0.0620     2.13     1.64  |  3.126  3.198
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : dataset              BDTG_fold1     :   0.0104  0.00392     1.95     1.48  |  3.155  3.214
                         : --------------------------------------------------------------------------------------------------
                         : 
<HEADER> Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
<HEADER> Factory                  : Booking method: BDTG_fold2
                         : 
                         : the option NegWeightTreatment=InverseBoostNegWeights does not exist for BoostType=Grad
                         : --> change to new default NegWeightTreatment=Pray
                         : Regression Loss Function: Huber
                         : Training 500 Decision Trees ... patience please
                         : Elapsed time for training with 5000 events: 2.2 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of BDTG_fold2 on training sample
                         : Dataset[dataset] : Elapsed time for evaluation of 5000 events: 0.438 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: dataset/weights/TMVACrossValidationRegression_BDTG_fold2.weights.xml
<HEADER> Factory                  : Test all methods
<HEADER> Factory                  : Test method: BDTG_fold2 for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of BDTG_fold2 on testing sample
                         : Dataset[dataset] : Elapsed time for evaluation of 4999 events: 0.352 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
<HEADER> Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTG_fold2
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 4999 events: 0.335 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 5000 events: 0.366 sec       
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : dataset              BDTG_fold2     :  -0.0337  -0.0568     2.25     1.75  |  3.107  3.165
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : dataset              BDTG_fold2     :  0.00398 -0.00698     2.08     1.58  |  3.150  3.222
                         : --------------------------------------------------------------------------------------------------
                         : 
<HEADER> Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
<HEADER> Factory                  : Booking method: BDTG
                         : 
                         : Reading weightfile: dataset/weights/TMVACrossValidationRegression_BDTG_fold1.weights.xml
                         : Reading weight file: dataset/weights/TMVACrossValidationRegression_BDTG_fold1.weights.xml
                         : Reading weightfile: dataset/weights/TMVACrossValidationRegression_BDTG_fold2.weights.xml
                         : Reading weight file: dataset/weights/TMVACrossValidationRegression_BDTG_fold2.weights.xml
                         : 
                         : 
                         : ========================================
                         : Folds processed for all methods, evaluating.
                         : ========================================
                         : 
<HEADER> Factory                  : [dataset] : Create Transformation "I" with events from all classes.
                         : 
<HEADER>                          : Transformation, Variable selection : 
                         : Input : variable 'var1' <---> Output : variable 'var1'
                         : Input : variable 'var2' <---> Output : variable 'var2'
<HEADER> TFHandler_Factory        : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:     2.4948     1.4515   [ 0.00020069     5.0000 ]
                         :     var2:     2.4837     1.4409   [ 0.00071490     5.0000 ]
                         :   fvalue:     134.53     84.778   [     1.6186     394.84 ]
                         : -----------------------------------------------------------
                         : Ranking input variables (method unspecific)...
<HEADER> IdTransformation         : Ranking result (top variable is best ranked)
                         : --------------------------------------------
                         : Rank : Variable  : |Correlation with target|
                         : --------------------------------------------
                         :    1 : var2      : 7.607e-01
                         :    2 : var1      : 5.995e-01
                         : --------------------------------------------
<HEADER> IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------
                         : Rank : Variable  : Mutual information
                         : -------------------------------------
                         :    1 : var1      : 2.253e+00
                         :    2 : var2      : 2.100e+00
                         : -------------------------------------
<HEADER> IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------
                         : Rank : Variable  : Correlation Ratio
                         : ------------------------------------
                         :    1 : var2      : 2.458e+00
                         :    2 : var1      : 2.336e+00
                         : ------------------------------------
<HEADER> IdTransformation         : Ranking result (top variable is best ranked)
                         : ----------------------------------------
                         : Rank : Variable  : Correlation Ratio (T)
                         : ----------------------------------------
                         :    1 : var1      : 5.362e-01
                         :    2 : var2      : 5.109e-01
                         : ----------------------------------------
                         : Elapsed time for training with 9999 events: 1.43e-05 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of BDTG on training sample
                         : Dataset[dataset] : Elapsed time for evaluation of 9999 events: 0.563 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: dataset/weights/TMVACrossValidationRegression_BDTG.weights.xml
<HEADER> Factory                  : Test all methods
<HEADER> Factory                  : Test method: BDTG for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of BDTG on testing sample
                         : Dataset[dataset] : Elapsed time for evaluation of 9999 events: 0.621 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
<HEADER> Factory                  : Evaluate all methods
                         : Evaluate regression method: BDTG
                         : TestRegression (testing)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 9999 events: 0.506 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
                         : Elapsed time for evaluation of 9999 events: 0.553 sec       
<HEADER> TFHandler_BDTG           : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:     2.4948     1.4515   [ 0.00020069     5.0000 ]
                         :     var2:     2.4837     1.4409   [ 0.00071490     5.0000 ]
                         :   fvalue:     134.53     84.778   [     1.6186     394.84 ]
                         : -----------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on test sample:
                         : ("Bias" quotes the mean deviation of the regression from true target.
                         :  "MutInf" is the "Mutual Information" between regression and target.
                         :  Indicated by "_T" are the corresponding "truncated" quantities ob-
                         :  tained when removing events deviating more than 2sigma from average.)
                         : --------------------------------------------------------------------------------------------------
                         : --------------------------------------------------------------------------------------------------
                         : dataset              BDTG           :   0.0236  0.00537     2.20     1.69  |  3.107  3.176
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : Evaluation results ranked by smallest RMS on training sample:
                         : (overtraining check)
                         : --------------------------------------------------------------------------------------------------
                         : DataSet Name:         MVA Method:        <Bias>   <Bias_T>    RMS    RMS_T  |  MutInf MutInf_T
                         : --------------------------------------------------------------------------------------------------
                         : dataset              BDTG           :   0.0236  0.00537     2.20     1.69  |  3.107  3.176
                         : --------------------------------------------------------------------------------------------------
                         : 
<HEADER> Dataset:dataset          : Created tree 'TestTree' with 9999 events
                         : 
<HEADER> Dataset:dataset          : Created tree 'TrainTree' with 9999 events
                         : 
<HEADER> Factory                  : Thank you for using TMVA!
                         : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
                         : Evaluation done.
==> Wrote root file: TMVARegCv.root
==> TMVACrossValidationRegression is done!
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