Execution Time6.94s

Test: tutorial-tmva-TMVARegressionApplication (Passed)
Build: master-x86_64-centos7-gcc8-opt-master (olhswep09.cern.ch) on 2020-01-21 23:12:44

Test Timing: Passed
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Processing /data/sftnight/workspace/root-benchmark/BUILDTYPE/Release/COMPILER/gcc830/LABEL/performance-cc7/root/tutorials/tmva/TMVARegressionApplication.C...

==> Start TMVARegressionApplication
create data set info Default
                         : Booking "BDTG method" of type "BDT" from dataset/weights/TMVARegression_BDTG.weights.xml.
                         : Reading weight file: dataset/weights/TMVARegression_BDTG.weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTG" of type: "BDT"
                         : Booking "DNN_CPU method" of type "DNN" from dataset/weights/TMVARegression_DNN_CPU.weights.xml.
                         : Reading weight file: dataset/weights/TMVARegression_DNN_CPU.weights.xml
                         : Booked classifier "DNN_CPU" of type: "DNN"
                         : Booking "KNN method" of type "KNN" from dataset/weights/TMVARegression_KNN.weights.xml.
                         : Reading weight file: dataset/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 1000 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 2 variables with 1000 values
                         : <Fill> Class 1 has     1000 events
                         : Booked classifier "KNN" of type: "KNN"
                         : Booking "LD method" of type "LD" from dataset/weights/TMVARegression_LD.weights.xml.
                         : Reading weight file: dataset/weights/TMVARegression_LD.weights.xml
                         : Booked classifier "LD" of type: "LD"
                         : Booking "PDEFoam method" of type "PDEFoam" from dataset/weights/TMVARegression_PDEFoam.weights.xml.
                         : Reading weight file: dataset/weights/TMVARegression_PDEFoam.weights.xml
                         : Read foams from file: dataset/weights/TMVARegression_PDEFoam.weights_foams.root
                         : Booked classifier "PDEFoam" of type: "PDEFoam"
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_reg_example.root [./files/tmva_reg_example.root]
--- TMVARegressionApp        : Using input file: ./files/tmva_reg_example.root
--- Select signal sample
--- Processing: 10000 events
--- ... Processing event: 0
--- ... Processing event: 1000
--- ... Processing event: 2000
--- ... Processing event: 3000
--- ... Processing event: 4000
--- ... Processing event: 5000
--- ... Processing event: 6000
--- ... Processing event: 7000
--- ... Processing event: 8000
--- ... Processing event: 9000
--- End of event loop: Real time 0:00:04, CP time 3.830
--- Created root file: "TMVARegApp.root" containing the MVA output histograms
==> TMVARegressionApplication is done!