Execution Time14.80s

Test: tutorial-tmva-TMVARegression (Passed)
Build: PR-4624-x86_64-ubuntu16-gcc54-opt (sft-ubuntu-1604-4) on 2019-11-14 18:11:36
Repository revision: 4926cfd669e03f1f1420093eabbb039a54014a54

Test Timing: Passed
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Test output
Processing /mnt/build/workspace/root-pullrequests-build/root/tutorials/tmva/TMVARegression.C...

==> Start TMVARegression
create data set info dataset
[TFile::Cp] Total 0.11 MB	|>...................| 0.00 % [0.0 MB/s][TFile::Cp] Total 0.11 MB	|====================| 100.00 % [13.2 MB/s]
Info in <TFile::OpenFromCache>: using local cache copy of http://root.cern.ch/files/tmva_reg_example.root [./files/tmva_reg_example.root]
--- TMVARegression           : Using input file: ./files/tmva_reg_example.root
DataSetInfo              : [dataset] : Added class "Regression"
                         : Add Tree TreeR of type Regression with 10000 events
                         : Dataset[dataset] : Class index : 0  name : Regression
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mPDEFoam[NON-XML-CHAR-0x1B][0m
                         : 
                         : Building event vectors for type 2 Regression
                         : Dataset[dataset] :  create input formulas for tree TreeR
DataSetFactory           : [dataset] : Number of events in input trees
                         : 
                         : Number of training and testing events
                         : ---------------------------------------------------------------------------
                         : Regression -- training events            : 1000
                         : Regression -- testing events             : 9000
                         : Regression -- training and testing events: 10000
                         : 
DataSetInfo              : Correlation matrix (Regression):
                         : ------------------------
                         :             var1    var2
                         :    var1:  +1.000  -0.018
                         :    var2:  -0.018  +1.000
                         : ------------------------
DataSetFactory           : [dataset] :  
                         : 
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mKNN[NON-XML-CHAR-0x1B][0m
                         : 
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mLD[NON-XML-CHAR-0x1B][0m
                         : 
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mDNN_CPU[NON-XML-CHAR-0x1B][0m
                         : 
                         : Parsing option string: 
                         : ... "!H:V:ErrorStrategy=SUMOFSQUARES:VarTransform=G:WeightInitialization=XAVIERUNIFORM:Architecture=CPU:Layout=TANH|50,Layout=TANH|50,Layout=TANH|50,LINEAR:TrainingStrategy=LearningRate=1e-2,Momentum=0.5,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=10,WeightDecay=0.01,Regularization=NONE,DropConfig=0.2+0.2+0.2+0.,DropRepetitions=2|LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=L2,DropConfig=0.1+0.1+0.1,DropRepetitions=1|LearningRate=1e-4,Momentum=0.3,Repetitions=1,ConvergenceSteps=10,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=NONE"
                         : The following options are set:
                         : - By User:
                         :     <none>
                         : - Default:
                         :     Boost_num: "0" [Number of times the classifier will be boosted]
                         : Parsing option string: 
                         : ... "!H:V:ErrorStrategy=SUMOFSQUARES:VarTransform=G:WeightInitialization=XAVIERUNIFORM:Architecture=CPU:Layout=TANH|50,Layout=TANH|50,Layout=TANH|50,LINEAR:TrainingStrategy=LearningRate=1e-2,Momentum=0.5,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=10,WeightDecay=0.01,Regularization=NONE,DropConfig=0.2+0.2+0.2+0.,DropRepetitions=2|LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=L2,DropConfig=0.1+0.1+0.1,DropRepetitions=1|LearningRate=1e-4,Momentum=0.3,Repetitions=1,ConvergenceSteps=10,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=NONE"
                         : The following options are set:
                         : - By User:
                         :     V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
                         :     VarTransform: "G" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
                         :     H: "False" [Print method-specific help message]
                         :     Layout: "TANH|50,Layout=TANH|50,Layout=TANH|50,LINEAR" [Layout of the network.]
                         :     ErrorStrategy: "SUMOFSQUARES" [Loss function: Mean squared error (regression) or cross entropy (binary classification).]
                         :     WeightInitialization: "XAVIERUNIFORM" [Weight initialization strategy]
                         :     Architecture: "CPU" [Which architecture to perform the training on.]
                         :     TrainingStrategy: "LearningRate=1e-2,Momentum=0.5,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=10,WeightDecay=0.01,Regularization=NONE,DropConfig=0.2+0.2+0.2+0.,DropRepetitions=2|LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=L2,DropConfig=0.1+0.1+0.1,DropRepetitions=1|LearningRate=1e-4,Momentum=0.3,Repetitions=1,ConvergenceSteps=10,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=NONE" [Defines the training strategies.]
                         : - Default:
                         :     VerbosityLevel: "Default" [Verbosity level]
                         :     CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
                         :     IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
                         :     ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)]
DNN_CPU                  : [dataset] : Create Transformation "G" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'var1' <---> Output : variable 'var1'
                         : Input : variable 'var2' <---> Output : variable 'var2'
                         : Preparing the Gaussian transformation...
TFHandler_DNN_CPU        : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:   0.013183     1.0272   [    -3.3668     5.7307 ]
                         :     var2:  0.0071633     1.0351   [    -4.2630     5.7307 ]
                         :   fvalue:     164.96     82.203   [     1.7144     391.23 ]
                         : -----------------------------------------------------------
Parsed Training DNN string LearningRate=1e-2,Momentum=0.5,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=10,WeightDecay=0.01,Regularization=NONE,DropConfig=0.2+0.2+0.2+0.,DropRepetitions=2|LearningRate=1e-3,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=L2,DropConfig=0.1+0.1+0.1,DropRepetitions=1|LearningRate=1e-4,Momentum=0.3,Repetitions=1,ConvergenceSteps=10,BatchSize=50,TestRepetitions=5,WeightDecay=0.01,Regularization=NONE
STring has size 3
Factory                  : Booking method: [NON-XML-CHAR-0x1B][1mBDTG[NON-XML-CHAR-0x1B][0m
                         : 
<WARNING>                : Value for option maxdepth was previously set to 3
                         : the option NegWeightTreatment=InverseBoostNegWeights does not exist for BoostType=Grad
                         : --> change to new default NegWeightTreatment=Pray
Factory                  : [NON-XML-CHAR-0x1B][1mTrain all methods[NON-XML-CHAR-0x1B][0m
Factory                  : [dataset] : Create Transformation "I" with events from all classes.
                         : 
                         : Transformation, Variable selection : 
                         : Input : variable 'var1' <---> Output : variable 'var1'
                         : Input : variable 'var2' <---> Output : variable 'var2'
TFHandler_Factory        : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:     3.4138     1.1963   [  0.0026062     4.9957 ]
                         :     var2:     2.4356     1.4134   [  0.0092062     4.9990 ]
                         :   fvalue:     164.96     82.203   [     1.7144     391.23 ]
                         : -----------------------------------------------------------
                         : Ranking input variables (method unspecific)...
IdTransformation         : Ranking result (top variable is best ranked)
                         : --------------------------------------------
                         : Rank : Variable  : |Correlation with target|
                         : --------------------------------------------
                         :    1 : var2      : 7.419e-01
                         :    2 : var1      : 5.996e-01
                         : --------------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : -------------------------------------
                         : Rank : Variable  : Mutual information
                         : -------------------------------------
                         :    1 : var2      : 2.029e+00
                         :    2 : var1      : 1.950e+00
                         : -------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ------------------------------------
                         : Rank : Variable  : Correlation Ratio
                         : ------------------------------------
                         :    1 : var1      : 6.538e+00
                         :    2 : var2      : 2.460e+00
                         : ------------------------------------
IdTransformation         : Ranking result (top variable is best ranked)
                         : ----------------------------------------
                         : Rank : Variable  : Correlation Ratio (T)
                         : ----------------------------------------
                         :    1 : var2      : 9.156e-01
                         :    2 : var1      : 2.981e-01
                         : ----------------------------------------
Factory                  : Train method: PDEFoam for Regression
                         : 
                         : Build mono target regression foam
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                         : Elapsed time: 0.693 sec                                 
                         : Elapsed time for training with 1000 events: 0.7 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of PDEFoam on training sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 1000 events: 0.00728 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_PDEFoam.weights.xml[NON-XML-CHAR-0x1B][0m
                         : writing foam MonoTargetRegressionFoam to file
                         : Foams written to file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_PDEFoam.weights_foams.root[NON-XML-CHAR-0x1B][0m
Factory                  : Training finished
                         : 
Factory                  : Train method: KNN for Regression
                         : 
KNN                      : <Train> start...
                         : Reading 1000 events
                         : Number of signal events 1000
                         : Number of background events 0
                         : Creating kd-tree with 1000 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 2 variables with 1000 values
                         : <Fill> Class 1 has     1000 events
                         : Elapsed time for training with 1000 events: 0.00166 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of KNN on training sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 1000 events: 0.00897 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_KNN.weights.xml[NON-XML-CHAR-0x1B][0m
Factory                  : Training finished
                         : 
Factory                  : Train method: LD for Regression
                         : 
LD                       : Results for LD coefficients:
                         : -----------------------
                         : Variable:  Coefficient:
                         : -----------------------
                         :     var1:      +42.104
                         :     var2:      +44.607
                         : (offset):      -87.420
                         : -----------------------
                         : Elapsed time for training with 1000 events: 0.000482 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of LD on training sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 1000 events: 0.00141 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_LD.weights.xml[NON-XML-CHAR-0x1B][0m
Factory                  : Training finished
                         : 
Factory                  : Train method: DNN_CPU for Regression
                         : 
TFHandler_DNN_CPU        : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:   0.013183     1.0272   [    -3.3668     5.7307 ]
                         :     var2:  0.0071633     1.0351   [    -4.2630     5.7307 ]
                         :   fvalue:     164.96     82.203   [     1.7144     391.23 ]
                         : -----------------------------------------------------------
                         : Start of neural network training on CPU.
                         : 
                         : Training phase 1 of 3:
                         :      Epoch |   Train Err.  Test  Err.     GFLOP/s Conv. Steps
                         : --------------------------------------------------------------
                         :         10 |      3522.49     3232.25     4.42454           0
                         :         20 |      2346.48     2150.94     4.44729           0
                         :         30 |      5941.57      5930.6     4.23586          10
                         :         40 |      2826.19     2975.97     4.08867          20
                         : 
                         : Training phase 2 of 3:
                         :      Epoch |   Train Err.  Test  Err.     GFLOP/s Conv. Steps
                         : --------------------------------------------------------------
                         :          5 |         7155     1798.96     4.59638           0
                         :         10 |      6557.88      1224.7     4.62938           0
                         :         15 |      6179.82     1035.86     4.63036           0
                         :         20 |       6060.6     1066.72     4.61859           5
                         :         25 |      6196.88     1130.68     4.63221          10
                         :         30 |      6507.96     1887.17     4.63252          15
                         :         35 |      7125.53     2254.25     4.62277          20
                         : 
                         : Training phase 3 of 3:
                         :      Epoch |   Train Err.  Test  Err.     GFLOP/s Conv. Steps
                         : --------------------------------------------------------------
                         :          5 |      1489.31     1662.77     5.30569           0
                         :         10 |      1409.42     1562.48     5.30555           0
                         :         15 |      1328.07     1475.28     5.32649           0
                         :         20 |      1307.78     1458.46     5.32557           0
                         :         25 |      1286.65     1440.41     5.11863           0
                         :         30 |      1270.51     1427.59     5.32881           0
                         :         35 |      1255.07     1412.77     5.29902           0
                         :         40 |      1239.31     1401.44     5.33481           0
                         :         45 |      1224.72     1388.85     5.32522           0
                         :         50 |      1212.51     1378.98     5.28583           0
                         :         55 |      1173.01     1316.16     5.32206           0
                         :         60 |      1161.56     1309.11     5.31962           0
                         :         65 |      1151.54     1301.34     5.32336           0
                         :         70 |      1142.57     1294.57     5.32734           0
                         :         75 |      1130.87     1287.99     5.32438           0
                         :         80 |      1121.96     1280.46     5.32575           0
                         :         85 |      1113.63     1273.01     5.30928           0
                         :         90 |      1106.31     1266.67     5.25103           0
                         :         95 |      1098.78     1259.73     5.31324           0
                         :        100 |      1088.25     1255.37      5.2949           0
                         :        105 |      1080.64     1248.06     5.29632           0
                         :        110 |      1073.37     1241.86      5.2957           0
                         :        115 |      1067.09     1235.86     5.26477           0
                         :        120 |      1058.55     1230.63     5.26928           0
                         :        125 |      1052.03     1225.78     5.30802           0
                         :        130 |      1046.47     1219.09     5.31266           0
                         :        135 |      1040.79     1216.86     5.31905           0
                         :        140 |      1036.96     1211.97     5.30814           0
                         :        145 |      1027.73      1208.1     5.32252           0
                         :        150 |      1023.63      1202.2     5.32386           0
                         :        155 |      1019.41     1195.08     5.31584           0
                         :        160 |      1015.41     1191.95     5.25004           0
                         :        165 |      1012.32     1190.48     5.29447           0
                         :        170 |      1008.29     1188.57     5.26677           0
                         :        175 |      1004.95      1186.9     5.25566           0
                         :        180 |      1001.44     1183.13     5.31623           0
                         :        185 |      998.405     1180.96     5.32196           0
                         :        190 |      993.878     1177.53     5.29495           0
                         :        195 |      991.063     1174.44     5.31994           0
                         :        200 |      987.479     1170.14       5.274           0
                         :        205 |      985.565     1167.96     5.30244           0
                         :        210 |      982.164      1164.1     5.31234           0
                         :        215 |      976.525     1161.32     5.29492           0
                         :        220 |      973.002     1158.66     5.05533           0
                         :        225 |      971.534     1156.96     5.11085           0
                         :        230 |      969.169     1154.26     5.24549           0
                         :        235 |      966.749     1151.58     5.21377           0
                         :        240 |      965.012     1149.84     5.27604           0
                         :        245 |      962.474     1147.08     5.04312           0
                         :        250 |      959.883     1143.94     5.09585           0
                         :        255 |      957.784     1140.32     5.26075           0
                         :        260 |      955.684     1136.59     5.25007           0
                         :        265 |      953.434     1134.15     5.18594           0
                         :        270 |      951.739     1131.57     5.31254           0
                         :        275 |      949.032      1129.2      4.5027           0
                         :        280 |      948.128     1128.08     5.16339           5
                         :        285 |      946.934     1126.64     5.15054           0
                         :        290 |      944.778     1123.82     5.33528           0
                         :        295 |      942.052     1120.81     5.18227           0
                         :        300 |      940.105     1120.73     4.92143           5
                         :        305 |      939.078     1117.96     5.30001           0
                         :        310 |       936.92      1116.7     5.16005           0
                         :        315 |      935.233      1115.3     5.10715           0
                         :        320 |      934.413     1113.82     5.03269           0
                         :        325 |      932.679     1112.52     5.14851           0
                         :        330 |      931.898     1110.98     5.24543           0
                         :        335 |       930.58     1109.91     5.12002           5
                         :        340 |      928.828     1108.44     4.93951           0
                         :        345 |      927.989     1107.14     5.23769           0
                         :        350 |      927.154     1105.56     5.31788           0
                         :        355 |      924.865     1104.53     5.31582           5
                         :        360 |      924.828     1102.58     5.29815           0
                         :        365 |      923.044     1101.27     5.31757           0
                         :        370 |      922.283     1100.82     5.31953           5
                         :        375 |      919.381     1099.58     5.29334           0
                         :        380 |      918.353     1098.53     5.32196           5
                         :        385 |      916.577     1096.55     5.32209           0
                         :        390 |      916.178     1095.72     5.32361           5
                         :        395 |      913.921     1093.27      5.3205           0
                         :        400 |      913.872     1092.37     5.32412           5
                         :        405 |      912.122     1089.93       5.319           0
                         :        410 |      910.953     1091.43     5.30167           5
                         :        415 |      909.564     1088.86     5.31978          10
                         : 
                         : Elapsed time for training with 1000 events: 2.53 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of DNN_CPU on training sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 1000 events: 0.0218 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_DNN_CPU.weights.xml[NON-XML-CHAR-0x1B][0m
Factory                  : Training finished
                         : 
Factory                  : Train method: BDTG for Regression
                         : 
                         : Regression Loss Function: Huber
                         : Training 2000 Decision Trees ... patience please
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                         : Elapsed time for training with 1000 events: 1.6 sec         
                         : Dataset[dataset] : Create results for training
                         : Dataset[dataset] : Evaluation of BDTG on training sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 1000 events: 0.351 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
                         : Creating xml weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_BDTG.weights.xml[NON-XML-CHAR-0x1B][0m
Factory                  : Training finished
                         : 
Factory                  : === Destroy and recreate all methods via weight files for testing ===
                         : 
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_PDEFoam.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Read foams from file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_PDEFoam.weights_foams.root[NON-XML-CHAR-0x1B][0m
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_KNN.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Creating kd-tree with 1000 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
ModulekNN                : Optimizing tree for 2 variables with 1000 values
                         : <Fill> Class 1 has     1000 events
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_LD.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_DNN_CPU.weights.xml[NON-XML-CHAR-0x1B][0m
                         : Reading weight file: [NON-XML-CHAR-0x1B][0;36mdataset/weights/TMVARegression_BDTG.weights.xml[NON-XML-CHAR-0x1B][0m
Factory                  : [NON-XML-CHAR-0x1B][1mTest all methods[NON-XML-CHAR-0x1B][0m
Factory                  : Test method: PDEFoam for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of PDEFoam on testing sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 9000 events: 0.0485 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: KNN for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of KNN on testing sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 9000 events: 0.0759 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: LD for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of LD on testing sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 9000 events: 0.00598 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: DNN_CPU for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of DNN_CPU on testing sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 9000 events: 0.188 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : Test method: BDTG for Regression performance
                         : 
                         : Dataset[dataset] : Create results for testing
                         : Dataset[dataset] : Evaluation of BDTG on testing sample
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                         : Dataset[dataset] : Elapsed time for evaluation of 9000 events: 1.94 sec       
                         : Create variable histograms
                         : Create regression target histograms
                         : Create regression average deviation
                         : Results created
Factory                  : [NON-XML-CHAR-0x1B][1mEvaluate all methods[NON-XML-CHAR-0x1B][0m
                         : Evaluate regression method: PDEFoam
                         : TestRegression (testing)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 9000 events: 0.0479 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 1000 events: 0.00581 sec       
TFHandler_PDEFoam        : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:     3.3309     1.1858   [ 0.00020069     5.0000 ]
                         :     var2:     2.4914     1.4393   [ 0.00071490     5.0000 ]
                         :   fvalue:     164.02     83.932   [     1.6186     394.84 ]
                         : -----------------------------------------------------------
                         : Evaluate regression method: KNN
                         : TestRegression (testing)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 9000 events: 0.073 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 1000 events: 0.0084 sec       
TFHandler_KNN            : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:     3.3309     1.1858   [ 0.00020069     5.0000 ]
                         :     var2:     2.4914     1.4393   [ 0.00071490     5.0000 ]
                         :   fvalue:     164.02     83.932   [     1.6186     394.84 ]
                         : -----------------------------------------------------------
                         : Evaluate regression method: LD
                         : TestRegression (testing)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 9000 events: 0.00626 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 1000 events: 0.000991 sec       
TFHandler_LD             : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:     3.3309     1.1858   [ 0.00020069     5.0000 ]
                         :     var2:     2.4914     1.4393   [ 0.00071490     5.0000 ]
                         :   fvalue:     164.02     83.932   [     1.6186     394.84 ]
                         : -----------------------------------------------------------
                         : Evaluate regression method: DNN_CPU
                         : TestRegression (testing)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 9000 events: 0.203 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 1000 events: 0.0208 sec       
TFHandler_DNN_CPU        : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:  -0.062720     1.0031   [    -3.3827     5.7307 ]
                         :     var2:   0.031261     1.0685   [    -5.7307     5.7307 ]
                         :   fvalue:     164.02     83.932   [     1.6186     394.84 ]
                         : -----------------------------------------------------------
TFHandler_DNN_CPU        : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:  -0.062720     1.0031   [    -3.3827     5.7307 ]
                         :     var2:   0.031261     1.0685   [    -5.7307     5.7307 ]
                         :   fvalue:     164.02     83.932   [     1.6186     394.84 ]
                         : -----------------------------------------------------------
                         : Evaluate regression method: BDTG
                         : TestRegression (testing)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 9000 events: 1.99 sec       
                         : TestRegression (training)
                         : Calculate regression for all events
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                         : Elapsed time for evaluation of 1000 events: 0.222 sec       
TFHandler_BDTG           : Variable        Mean        RMS   [        Min        Max ]
                         : -----------------------------------------------------------
                         :     var1:     3.3309     1.1858   [ 0.00020069     5.0000 ]
                         :     var2:     2.4914     1.4393   [ 0.00071490     5.0000 ]
                         :   fvalue:     164.02     83.932   [     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           :    0.252    0.209     2.27     1.83  |  3.137  3.210
                         : dataset              KNN            :   -0.507    0.436     5.77     3.79  |  2.871  2.903
                         : dataset              PDEFoam        :   -0.831   -0.645     9.90     8.12  |  2.245  2.327
                         : dataset              LD             :  -0.0644     1.63     19.7     17.9  |  1.988  1.981
                         : dataset              DNN_CPU        :     2.97     5.77     31.7     26.6  |  1.238  1.295
                         : --------------------------------------------------------------------------------------------------
                         : 
                         : 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           :   0.0373-0.000948    0.483    0.255  |  3.435  3.459
                         : dataset              KNN            :   -0.523    0.298     5.55     3.82  |  2.931  2.946
                         : dataset              PDEFoam        : 7.41e-07    0.243     7.99     6.37  |  2.489  2.565
                         : dataset              LD             : 3.68e-06     1.76     18.9     16.9  |  2.101  2.099
                         : dataset              DNN_CPU        :    0.543     3.86     30.7     25.7  |  1.384  1.442
                         : --------------------------------------------------------------------------------------------------
                         : 
Dataset:dataset          : Created tree 'TestTree' with 9000 events
                         : 
Dataset:dataset          : Created tree 'TrainTree' with 1000 events
                         : 
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
==> Wrote root file: TMVAReg.root
==> TMVARegression is done!