DataSetInfo : [datasetcvreg] : Added class "Regression" : Add Tree TreeR of type Regression with 10000 events --- TMVACrossValidationRegression: Using input file: /github/home/ROOT-CI/build/tutorials/machine_learning/data/tmva_reg_example.root : Dataset[datasetcvreg] : Class index : 0 name : Regression
Factory : You are running ROOT Version: 6.41.01, Apr 23, 2026 : : _/_/_/_/_/ _| _| _| _| _|_| : _/ _|_| _|_| _| _| _| _| : _/ _| _| _| _| _| _|_|_|_| : _/ _| _| _| _| _| _| : _/ _| _| _| _| _| : : ___________TMVA Version 4.2.1, Feb 5, 2015 : : Rebuilding Dataset datasetcvreg : Building event vectors for type 2 Regression : Dataset[datasetcvreg] : create input formulas for tree TreeR
DataSetFactory : [datasetcvreg] : 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 :
DataSetInfo : Correlation matrix (Regression): : ------------------------ : var1 var2 : var1: +1.000 +0.002 : var2: +0.002 +1.000 : ------------------------
DataSetFactory : [datasetcvreg] : : : : : ======================================== : ======================================== :
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: 0.759 sec : Dataset[datasetcvreg] : Create results for training : Dataset[datasetcvreg] : Evaluation of BDTG_fold1 on training sample : Dataset[datasetcvreg] : Elapsed time for evaluation of 4999 events: 0.0708 sec : Create variable histograms : Create regression target histograms : Create regression average deviation : Results created : Creating xml weight file: datasetcvreg/weights/TMVACrossValidationRegression_BDTG_fold1.weights.xml
Factory : Test all methods
Factory : Test method: BDTG_fold1 for Regression performance : : Dataset[datasetcvreg] : Create results for testing : Dataset[datasetcvreg] : Evaluation of BDTG_fold1 on testing sample : Dataset[datasetcvreg] : Elapsed time for evaluation of 5000 events: 0.0704 sec : Create variable histograms : Create regression target histograms : Create regression average deviation : Results created
Factory : Evaluate all methods : Evaluate regression method: BDTG_fold1 : TestRegression (testing) : Calculate regression for all events : Elapsed time for evaluation of 5000 events: 0.0697 sec : TestRegression (training) : Calculate regression for all events : Elapsed time for evaluation of 4999 events: 0.0694 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.) : -------------------------------------------------------------------------------------------------- : -------------------------------------------------------------------------------------------------- : datasetcvreg BDTG_fold1 : 0.0268 0.0575 2.23 1.74 | 3.112 3.181 : -------------------------------------------------------------------------------------------------- : : Evaluation results ranked by smallest RMS on training sample: : (overtraining check) : -------------------------------------------------------------------------------------------------- : DataSet Name: MVA Method: RMS RMS_T | MutInf MutInf_T : -------------------------------------------------------------------------------------------------- : datasetcvreg BDTG_fold1 : 0.0139 -0.00318 2.04 1.55 | 3.125 3.185 : -------------------------------------------------------------------------------------------------- :
Factory : Thank you for using TMVA! : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
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: 0.734 sec : Dataset[datasetcvreg] : Create results for training : Dataset[datasetcvreg] : Evaluation of BDTG_fold2 on training sample : Dataset[datasetcvreg] : Elapsed time for evaluation of 5000 events: 0.0698 sec : Create variable histograms : Create regression target histograms : Create regression average deviation : Results created : Creating xml weight file: datasetcvreg/weights/TMVACrossValidationRegression_BDTG_fold2.weights.xml
Factory : Test all methods
Factory : Test method: BDTG_fold2 for Regression performance : : Dataset[datasetcvreg] : Create results for testing : Dataset[datasetcvreg] : Evaluation of BDTG_fold2 on testing sample : Dataset[datasetcvreg] : Elapsed time for evaluation of 4999 events: 0.0707 sec : Create variable histograms : Create regression target histograms : Create regression average deviation : Results created
Factory : Evaluate all methods : Evaluate regression method: BDTG_fold2 : TestRegression (testing) : Calculate regression for all events : Elapsed time for evaluation of 4999 events: 0.07 sec : TestRegression (training) : Calculate regression for all events : Elapsed time for evaluation of 5000 events: 0.0693 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.) : -------------------------------------------------------------------------------------------------- : -------------------------------------------------------------------------------------------------- : datasetcvreg BDTG_fold2 : 0.0542 0.0840 2.29 1.74 | 3.111 3.182 : -------------------------------------------------------------------------------------------------- : : Evaluation results ranked by smallest RMS on training sample: : (overtraining check) : -------------------------------------------------------------------------------------------------- : DataSet Name: MVA Method: RMS RMS_T | MutInf MutInf_T : -------------------------------------------------------------------------------------------------- : datasetcvreg BDTG_fold2 : 0.00602 0.0199 2.13 1.55 | 3.131 3.207 : -------------------------------------------------------------------------------------------------- :
Factory : Thank you for using TMVA! : For citation information, please visit: http://tmva.sf.net/citeTMVA.html
Factory : Booking method: BDTG : : Reading weightfile: datasetcvreg/weights/TMVACrossValidationRegression_BDTG_fold1.weights.xml : Reading weight file: datasetcvreg/weights/TMVACrossValidationRegression_BDTG_fold1.weights.xml : Reading weightfile: datasetcvreg/weights/TMVACrossValidationRegression_BDTG_fold2.weights.xml : Reading weight file: datasetcvreg/weights/TMVACrossValidationRegression_BDTG_fold2.weights.xml : : : ======================================== : Folds processed for all methods, evaluating. : ======================================== :
Factory : [datasetcvreg] : 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: 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)...
IdTransformation : Ranking result (top variable is best ranked) : -------------------------------------------- : Rank : Variable : |Correlation with target| : -------------------------------------------- : 1 : var2 : 7.607e-01 : 2 : var1 : 5.995e-01 : --------------------------------------------
IdTransformation : Ranking result (top variable is best ranked) : ------------------------------------- : Rank : Variable : Mutual information : ------------------------------------- : 1 : var1 : 2.253e+00 : 2 : var2 : 2.100e+00 : -------------------------------------
IdTransformation : Ranking result (top variable is best ranked) : ------------------------------------ : Rank : Variable : Correlation Ratio : ------------------------------------ : 1 : var2 : 2.458e+00 : 2 : var1 : 2.336e+00 : ------------------------------------
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: 5.96e-06 sec : Dataset[datasetcvreg] : Create results for training : Dataset[datasetcvreg] : Evaluation of BDTG on training sample : Dataset[datasetcvreg] : Elapsed time for evaluation of 9999 events: 0.123 sec : Create variable histograms : Create regression target histograms : Create regression average deviation : Results created : Creating xml weight file: datasetcvreg/weights/TMVACrossValidationRegression_BDTG.weights.xml
Factory : Test all methods
Factory : Test method: BDTG for Regression performance : : Dataset[datasetcvreg] : Create results for testing : Dataset[datasetcvreg] : Evaluation of BDTG on testing sample : Dataset[datasetcvreg] : Elapsed time for evaluation of 9999 events: 0.124 sec : Create variable histograms : Create regression target histograms : Create regression average deviation : Results created
Factory : Evaluate all methods : Evaluate regression method: BDTG : TestRegression (testing) : Calculate regression for all events : Elapsed time for evaluation of 9999 events: 0.125 sec : TestRegression (training) : Calculate regression for all events : Elapsed time for evaluation of 9999 events: 0.124 sec
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.) : -------------------------------------------------------------------------------------------------- : -------------------------------------------------------------------------------------------------- : datasetcvreg BDTG : 0.0405 0.0697 2.26 1.74 | 3.099 3.173 : -------------------------------------------------------------------------------------------------- : : Evaluation results ranked by smallest RMS on training sample: : (overtraining check) : -------------------------------------------------------------------------------------------------- : DataSet Name: MVA Method: RMS RMS_T | MutInf MutInf_T : -------------------------------------------------------------------------------------------------- : datasetcvreg BDTG : 0.0405 0.0697 2.26 1.74 | 3.099 3.173 : -------------------------------------------------------------------------------------------------- :
Dataset:datasetcvreg : Created tree 'TestTree' with 9999 events :
Dataset:datasetcvreg : Created tree 'TrainTree' with 9999 events :
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! (int) 0