==> Start TMVAClassificationCategory create data set info dataset --- TMVAClassification : Using input file: ../treeMC/3002_LHC20I3_P82016/AnalysisResults.root --- TMVAClassification : Using input file: ../treeMC/3003_LHC20I3_P82017/AnalysisResults.root --- TMVAClassification : Using input file: ../treeMC/3004_LHC20I3_P82018/AnalysisResults.root --- TMVAClassification : Using input file: ../treeData/3520_LHC2016_deghjop/AnalysisResults.root --- TMVAClassification : Using input file: ../treeData/3522_LHC2016_kl/AnalysisResults.root --- TMVAClassification : Using input file: ../treeData/3521_LHC2017_cefhijklmor/AnalysisResults.root --- TMVAClassification : Using input file: ../treeData/3523_LHC2018_bdefghijklmnop/AnalysisResults.root DataSetInfo : [dataset] : Added class "Signal" : Add Tree treeList_0_24_0_24_Sgn of type Signal with 1560110 events : Add Tree treeList_0_24_0_24_Sgn of type Signal with 2800583 events : Add Tree treeList_0_24_0_24_Sgn of type Signal with 2593345 events DataSetInfo : [dataset] : Added class "Background" : Add Tree treeList_0_24_0_24_Sgn of type Background with 13029418 events : Add Tree treeList_0_24_0_24_Sgn of type Background with 6666841 events : Add Tree treeList_0_24_0_24_Sgn of type Background with 28233439 events : Add Tree treeList_0_24_0_24_Sgn of type Background with 35216660 events Default ON: methodTitle will be BDT_Default_0_1 Factory : Booking method: BDT : : Building event vectors for type 2 Signal : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn DataSetFactory : [dataset] : Number of events in input trees : Dataset[dataset] : Signal requirement: "LcPt < 1.000000 && LcPt > 0.000000 && origin == 4.000000" : Dataset[dataset] : Signal -- number of events passed: 289790 / sum of weights: 289790 : Dataset[dataset] : Signal -- efficiency : 0.0416722 : Dataset[dataset] : Background requirement: "LcPt < 1.000000 && LcPt > 0.000000 && abs(massLc2K0Sp - 2.286) > 0.022800" : Dataset[dataset] : Background -- number of events passed: 17139717 / sum of weights: 1.67772e+07 : Dataset[dataset] : Background -- efficiency : 1 : Dataset[dataset] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Dataset[dataset] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Number of training and testing events : --------------------------------------------------------------------------- : Signal -- training events : 72447 : Signal -- testing events : 72447 : Signal -- training and testing events: 144894 : Dataset[dataset] : Signal -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.0416722 : Background -- training events : 250000 : Background -- testing events : 250000 : Background -- training and testing events: 500000 : Dataset[dataset] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.206139 : DataSetInfo : Correlation matrix (Signal): : ------------------------------------------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTOFpr nSigmaTOFpi nSigmaTOFka nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 +0.009 -0.008 +0.135 +0.024 -0.038 -0.013 -0.012 -0.012 +0.001 +0.026 +0.031 : tImpParBach: +0.009 +1.000 -0.003 +0.003 -0.008 -0.006 +0.003 +0.004 +0.003 -0.001 +0.004 +0.005 : tImpParV0: -0.008 -0.003 +1.000 -0.002 -0.010 +0.002 +0.004 +0.004 +0.004 +0.003 +0.002 +0.001 : CtK0S: +0.135 +0.003 -0.002 +1.000 +0.055 -0.001 -0.004 -0.004 -0.004 +0.001 +0.003 +0.003 : cosPAK0S: +0.024 -0.008 -0.010 +0.055 +1.000 -0.200 -0.043 -0.038 -0.040 -0.006 +0.130 +0.154 : CosThetaStar: -0.038 -0.006 +0.002 -0.001 -0.200 +1.000 +0.250 +0.229 +0.240 +0.006 -0.736 -0.834 : nSigmaTOFpr: -0.013 +0.003 +0.004 -0.004 -0.043 +0.250 +1.000 +0.999 +1.000 -0.004 -0.295 -0.307 : nSigmaTOFpi: -0.012 +0.004 +0.004 -0.004 -0.038 +0.229 +0.999 +1.000 +1.000 -0.004 -0.283 -0.291 : nSigmaTOFka: -0.012 +0.003 +0.004 -0.004 -0.040 +0.240 +1.000 +1.000 +1.000 -0.004 -0.290 -0.299 : nSigmaTPCpr: +0.001 -0.001 +0.003 +0.001 -0.006 +0.006 -0.004 -0.004 -0.004 +1.000 +0.092 +0.193 : nSigmaTPCpi: +0.026 +0.004 +0.002 +0.003 +0.130 -0.736 -0.295 -0.283 -0.290 +0.092 +1.000 +0.943 : nSigmaTPCka: +0.031 +0.005 +0.001 +0.003 +0.154 -0.834 -0.307 -0.291 -0.299 +0.193 +0.943 +1.000 : ------------------------------------------------------------------------------------------------------------------------------------------------- DataSetInfo : Correlation matrix (Background): : ------------------------------------------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTOFpr nSigmaTOFpi nSigmaTOFka nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 -0.003 -0.002 -0.055 +0.039 -0.044 +0.003 +0.004 +0.004 +0.015 +0.028 +0.035 : tImpParBach: -0.003 +1.000 +0.001 +0.000 +0.001 -0.004 +0.001 +0.001 +0.001 -0.001 +0.001 +0.002 : tImpParV0: -0.002 +0.001 +1.000 -0.001 +0.001 +0.002 -0.002 -0.002 -0.002 -0.002 -0.001 -0.001 : CtK0S: -0.055 +0.000 -0.001 +1.000 -0.336 -0.010 +0.003 +0.002 +0.002 -0.001 -0.004 -0.009 : cosPAK0S: +0.039 +0.001 +0.001 -0.336 +1.000 -0.048 +0.004 +0.005 +0.004 +0.018 +0.032 +0.043 : CosThetaStar: -0.044 -0.004 +0.002 -0.010 -0.048 +1.000 -0.005 -0.020 -0.012 -0.307 -0.699 -0.837 : nSigmaTOFpr: +0.003 +0.001 -0.002 +0.003 +0.004 -0.005 +1.000 +0.999 +1.000 +0.228 -0.113 -0.051 : nSigmaTOFpi: +0.004 +0.001 -0.002 +0.002 +0.005 -0.020 +0.999 +1.000 +1.000 +0.228 -0.104 -0.039 : nSigmaTOFka: +0.004 +0.001 -0.002 +0.002 +0.004 -0.012 +1.000 +1.000 +1.000 +0.228 -0.109 -0.045 : nSigmaTPCpr: +0.015 -0.001 -0.002 -0.001 +0.018 -0.307 +0.228 +0.228 +0.228 +1.000 +0.279 +0.451 : nSigmaTPCpi: +0.028 +0.001 -0.001 -0.004 +0.032 -0.699 -0.113 -0.104 -0.109 +0.279 +1.000 +0.912 : nSigmaTPCka: +0.035 +0.002 -0.001 -0.009 +0.043 -0.837 -0.051 -0.039 -0.045 +0.451 +0.912 +1.000 : ------------------------------------------------------------------------------------------------------------------------------------------------- DataSetFactory : [dataset] : : Factory : Booking method: BdtCat : : Adding sub-classifier: BDT::Category_BDT_1 create data set info Category_BDT_1_dsi DataSetInfo : [Category_BDT_1_dsi] : Added class "Signal" DataSetInfo : [Category_BDT_1_dsi] : Added class "Background" : Building event vectors for type 2 Signal : Dataset[Category_BDT_1_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[Category_BDT_1_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[Category_BDT_1_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_1_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_1_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_1_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_1_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn DataSetFactory : [Category_BDT_1_dsi] : Number of events in input trees : Dataset[Category_BDT_1_dsi] : Signal requirement: "(LcPt < 1.000000 && LcPt > 0.000000 && origin == 4.000000)&&(nSigmaTOFpr > -100)" : Dataset[Category_BDT_1_dsi] : Signal -- number of events passed: 131919 / sum of weights: 131919 : Dataset[Category_BDT_1_dsi] : Signal -- efficiency : 0.0189701 : Dataset[Category_BDT_1_dsi] : Background requirement: "(LcPt < 1.000000 && LcPt > 0.000000 && abs(massLc2K0Sp - 2.286) > 0.022800)&&(nSigmaTOFpr > -100)" : Dataset[Category_BDT_1_dsi] : Background -- number of events passed: 5821989 / sum of weights: 5.82199e+06 : Dataset[Category_BDT_1_dsi] : Background -- efficiency : 0.347018 : Dataset[Category_BDT_1_dsi] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Dataset[Category_BDT_1_dsi] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Number of training and testing events : --------------------------------------------------------------------------- : Signal -- training events : 72447 : Signal -- testing events : 59472 : Signal -- training and testing events: 131919 : Dataset[Category_BDT_1_dsi] : Signal -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.0189701 : Background -- training events : 250000 : Background -- testing events : 250000 : Background -- training and testing events: 500000 : Dataset[Category_BDT_1_dsi] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.070021 : DataSetInfo : Correlation matrix (Signal): : ------------------------------------------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTOFpr nSigmaTOFpi nSigmaTOFka nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 +0.005 -0.008 +0.132 +0.028 -0.039 -0.003 +0.033 +0.033 -0.001 +0.031 +0.031 : tImpParBach: +0.005 +1.000 -0.003 +0.007 -0.000 -0.006 -0.006 +0.009 +0.009 -0.002 +0.006 +0.006 : tImpParV0: -0.008 -0.003 +1.000 +0.001 -0.002 -0.002 -0.002 +0.001 -0.000 +0.004 +0.003 +0.003 : CtK0S: +0.132 +0.007 +0.001 +1.000 +0.045 +0.002 -0.002 -0.001 -0.001 -0.003 -0.003 -0.003 : cosPAK0S: +0.028 -0.000 -0.002 +0.045 +1.000 -0.189 +0.011 +0.152 +0.163 -0.004 +0.147 +0.151 : CosThetaStar: -0.039 -0.006 -0.002 +0.002 -0.189 +1.000 -0.038 -0.852 -0.868 +0.007 -0.847 -0.840 : nSigmaTOFpr: -0.003 -0.006 -0.002 -0.002 +0.011 -0.038 +1.000 +0.097 +0.147 +0.003 +0.044 +0.046 : nSigmaTOFpi: +0.033 +0.009 +0.001 -0.001 +0.152 -0.852 +0.097 +1.000 +0.977 -0.004 +0.929 +0.902 : nSigmaTOFka: +0.033 +0.009 -0.000 -0.001 +0.163 -0.868 +0.147 +0.977 +1.000 -0.005 +0.881 +0.874 : nSigmaTPCpr: -0.001 -0.002 +0.004 -0.003 -0.004 +0.007 +0.003 -0.004 -0.005 +1.000 +0.162 +0.270 : nSigmaTPCpi: +0.031 +0.006 +0.003 -0.003 +0.147 -0.847 +0.044 +0.929 +0.881 +0.162 +1.000 +0.983 : nSigmaTPCka: +0.031 +0.006 +0.003 -0.003 +0.151 -0.840 +0.046 +0.902 +0.874 +0.270 +0.983 +1.000 : ------------------------------------------------------------------------------------------------------------------------------------------------- DataSetInfo : Correlation matrix (Background): : ------------------------------------------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTOFpr nSigmaTOFpi nSigmaTOFka nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 +0.001 -0.001 -0.063 +0.046 -0.038 +0.006 +0.030 +0.032 +0.003 +0.027 +0.028 : tImpParBach: +0.001 +1.000 -0.002 +0.000 -0.001 +0.003 -0.003 -0.007 -0.008 -0.001 -0.007 -0.007 : tImpParV0: -0.001 -0.002 +1.000 -0.000 +0.003 -0.003 -0.001 +0.002 +0.003 -0.000 +0.002 +0.003 : CtK0S: -0.063 +0.000 -0.000 +1.000 -0.343 -0.007 -0.002 -0.023 -0.024 -0.008 -0.006 -0.013 : cosPAK0S: +0.046 -0.001 +0.003 -0.343 +1.000 -0.047 +0.001 +0.049 +0.053 +0.010 +0.036 +0.042 : CosThetaStar: -0.038 +0.003 -0.003 -0.007 -0.047 +1.000 +0.002 -0.818 -0.836 -0.015 -0.805 -0.797 : nSigmaTOFpr: +0.006 -0.003 -0.001 -0.002 +0.001 +0.002 +1.000 +0.082 +0.134 +0.090 +0.039 +0.052 : nSigmaTOFpi: +0.030 -0.007 +0.002 -0.023 +0.049 -0.818 +0.082 +1.000 +0.973 +0.025 +0.942 +0.913 : nSigmaTOFka: +0.032 -0.008 +0.003 -0.024 +0.053 -0.836 +0.134 +0.973 +1.000 +0.032 +0.890 +0.886 : nSigmaTPCpr: +0.003 -0.001 -0.000 -0.008 +0.010 -0.015 +0.090 +0.025 +0.032 +1.000 +0.186 +0.302 : nSigmaTPCpi: +0.027 -0.007 +0.002 -0.006 +0.036 -0.805 +0.039 +0.942 +0.890 +0.186 +1.000 +0.981 : nSigmaTPCka: +0.028 -0.007 +0.003 -0.013 +0.042 -0.797 +0.052 +0.913 +0.886 +0.302 +0.981 +1.000 : ------------------------------------------------------------------------------------------------------------------------------------------------- DataSetFactory : [Category_BDT_1_dsi] : : : Adding sub-classifier: BDT::Category_BDT_2 create data set info Category_BDT_2_dsi DataSetInfo : [Category_BDT_2_dsi] : Added class "Signal" DataSetInfo : [Category_BDT_2_dsi] : Added class "Background" : Building event vectors for type 2 Signal : Dataset[Category_BDT_2_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[Category_BDT_2_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[Category_BDT_2_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_2_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_2_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_2_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[Category_BDT_2_dsi] : create input formulas for tree treeList_0_24_0_24_Sgn DataSetFactory : [Category_BDT_2_dsi] : Number of events in input trees : Dataset[Category_BDT_2_dsi] : Signal requirement: "(LcPt < 1.000000 && LcPt > 0.000000 && origin == 4.000000)&&(nSigmaTOFpr <= -100)" : Dataset[Category_BDT_2_dsi] : Signal -- number of events passed: 157871 / sum of weights: 157871 : Dataset[Category_BDT_2_dsi] : Signal -- efficiency : 0.0227021 : Dataset[Category_BDT_2_dsi] : Background requirement: "(LcPt < 1.000000 && LcPt > 0.000000 && abs(massLc2K0Sp - 2.286) > 0.022800)&&(nSigmaTOFpr <= -100)" : Dataset[Category_BDT_2_dsi] : Background -- number of events passed: 11317728 / sum of weights: 1.13177e+07 : Dataset[Category_BDT_2_dsi] : Background -- efficiency : 0.674589 : Dataset[Category_BDT_2_dsi] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Dataset[Category_BDT_2_dsi] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Number of training and testing events : --------------------------------------------------------------------------- : Signal -- training events : 72447 : Signal -- testing events : 72447 : Signal -- training and testing events: 144894 : Dataset[Category_BDT_2_dsi] : Signal -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.0227021 : Background -- training events : 250000 : Background -- testing events : 250000 : Background -- training and testing events: 500000 : Dataset[Category_BDT_2_dsi] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.136118 : DataSetInfo : Correlation matrix (Signal): : ------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 +0.004 -0.005 +0.135 +0.031 -0.037 +0.001 +0.024 +0.030 : tImpParBach: +0.004 +1.000 +0.003 -0.006 -0.005 -0.003 +0.006 -0.000 +0.005 : tImpParV0: -0.005 +0.003 +1.000 -0.006 +0.012 +0.003 -0.002 -0.001 -0.002 : CtK0S: +0.135 -0.006 -0.006 +1.000 +0.065 -0.004 +0.000 +0.001 +0.001 : cosPAK0S: +0.031 -0.005 +0.012 +0.065 +1.000 -0.204 -0.001 +0.136 +0.161 : CosThetaStar: -0.037 -0.003 +0.003 -0.004 -0.204 +1.000 +0.003 -0.732 -0.835 : nSigmaTPCpr: +0.001 +0.006 -0.002 +0.000 -0.001 +0.003 +1.000 +0.086 +0.181 : nSigmaTPCpi: +0.024 -0.000 -0.001 +0.001 +0.136 -0.732 +0.086 +1.000 +0.941 : nSigmaTPCka: +0.030 +0.005 -0.002 +0.001 +0.161 -0.835 +0.181 +0.941 +1.000 : ------------------------------------------------------------------------------------------------------------- DataSetInfo : Correlation matrix (Background): : ------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 -0.001 +0.000 -0.056 +0.043 -0.046 +0.017 +0.028 +0.035 : tImpParBach: -0.001 +1.000 +0.001 +0.003 -0.003 -0.000 +0.000 +0.004 +0.001 : tImpParV0: +0.000 +0.001 +1.000 -0.006 +0.002 -0.003 +0.002 +0.003 +0.004 : CtK0S: -0.056 +0.003 -0.006 +1.000 -0.332 -0.007 -0.001 -0.002 -0.008 : cosPAK0S: +0.043 -0.003 +0.002 -0.332 +1.000 -0.052 +0.023 +0.033 +0.046 : CosThetaStar: -0.046 -0.000 -0.003 -0.007 -0.052 +1.000 -0.404 -0.719 -0.862 : nSigmaTPCpr: +0.017 +0.000 +0.002 -0.001 +0.023 -0.404 +1.000 +0.341 +0.514 : nSigmaTPCpi: +0.028 +0.004 +0.003 -0.002 +0.033 -0.719 +0.341 +1.000 +0.911 : nSigmaTPCka: +0.035 +0.001 +0.004 -0.008 +0.046 -0.862 +0.514 +0.911 +1.000 : ------------------------------------------------------------------------------------------------------------- DataSetFactory : [Category_BDT_2_dsi] : : Factory : Train all methods : Building event vectors for type 2 Signal : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Signal : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn : Building event vectors for type 2 Background : Dataset[dataset] : create input formulas for tree treeList_0_24_0_24_Sgn DataSetFactory : [dataset] : Number of events in input trees : Dataset[dataset] : Signal requirement: "LcPt < 1.000000 && LcPt > 0.000000 && origin == 4.000000" : Dataset[dataset] : Signal -- number of events passed: 289790 / sum of weights: 289790 : Dataset[dataset] : Signal -- efficiency : 0.0416722 : Dataset[dataset] : Background requirement: "LcPt < 1.000000 && LcPt > 0.000000 && abs(massLc2K0Sp - 2.286) > 0.022800" : Dataset[dataset] : Background -- number of events passed: 17139717 / sum of weights: 1.67772e+07 : Dataset[dataset] : Background -- efficiency : 1 : Dataset[dataset] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Dataset[dataset] : you have opted for interpreting the requested number of training/testing events : to be the number of events AFTER your preselection cuts : : Number of training and testing events : --------------------------------------------------------------------------- : Signal -- training events : 72447 : Signal -- testing events : 72447 : Signal -- training and testing events: 144894 : Dataset[dataset] : Signal -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.0416722 : Background -- training events : 250000 : Background -- testing events : 250000 : Background -- training and testing events: 500000 : Dataset[dataset] : Background -- due to the preselection a scaling factor has been applied to the numbers of requested events: 0.206139 : DataSetInfo : Correlation matrix (Signal): : ------------------------------------------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTOFpr nSigmaTOFpi nSigmaTOFka nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 +0.009 -0.008 +0.135 +0.024 -0.038 -0.013 -0.012 -0.012 +0.001 +0.026 +0.031 : tImpParBach: +0.009 +1.000 -0.003 +0.003 -0.008 -0.006 +0.003 +0.004 +0.003 -0.001 +0.004 +0.005 : tImpParV0: -0.008 -0.003 +1.000 -0.002 -0.010 +0.002 +0.004 +0.004 +0.004 +0.003 +0.002 +0.001 : CtK0S: +0.135 +0.003 -0.002 +1.000 +0.055 -0.001 -0.004 -0.004 -0.004 +0.001 +0.003 +0.003 : cosPAK0S: +0.024 -0.008 -0.010 +0.055 +1.000 -0.200 -0.043 -0.038 -0.040 -0.006 +0.130 +0.154 : CosThetaStar: -0.038 -0.006 +0.002 -0.001 -0.200 +1.000 +0.250 +0.229 +0.240 +0.006 -0.736 -0.834 : nSigmaTOFpr: -0.013 +0.003 +0.004 -0.004 -0.043 +0.250 +1.000 +0.999 +1.000 -0.004 -0.295 -0.307 : nSigmaTOFpi: -0.012 +0.004 +0.004 -0.004 -0.038 +0.229 +0.999 +1.000 +1.000 -0.004 -0.283 -0.291 : nSigmaTOFka: -0.012 +0.003 +0.004 -0.004 -0.040 +0.240 +1.000 +1.000 +1.000 -0.004 -0.290 -0.299 : nSigmaTPCpr: +0.001 -0.001 +0.003 +0.001 -0.006 +0.006 -0.004 -0.004 -0.004 +1.000 +0.092 +0.193 : nSigmaTPCpi: +0.026 +0.004 +0.002 +0.003 +0.130 -0.736 -0.295 -0.283 -0.290 +0.092 +1.000 +0.943 : nSigmaTPCka: +0.031 +0.005 +0.001 +0.003 +0.154 -0.834 -0.307 -0.291 -0.299 +0.193 +0.943 +1.000 : ------------------------------------------------------------------------------------------------------------------------------------------------- DataSetInfo : Correlation matrix (Background): : ------------------------------------------------------------------------------------------------------------------------------------------------- : massK0S tImpParBach tImpParV0 CtK0S cosPAK0S CosThetaStar nSigmaTOFpr nSigmaTOFpi nSigmaTOFka nSigmaTPCpr nSigmaTPCpi nSigmaTPCka : massK0S: +1.000 -0.003 -0.002 -0.055 +0.039 -0.044 +0.003 +0.004 +0.004 +0.015 +0.028 +0.035 : tImpParBach: -0.003 +1.000 +0.001 +0.000 +0.001 -0.004 +0.001 +0.001 +0.001 -0.001 +0.001 +0.002 : tImpParV0: -0.002 +0.001 +1.000 -0.001 +0.001 +0.002 -0.002 -0.002 -0.002 -0.002 -0.001 -0.001 : CtK0S: -0.055 +0.000 -0.001 +1.000 -0.336 -0.010 +0.003 +0.002 +0.002 -0.001 -0.004 -0.009 : cosPAK0S: +0.039 +0.001 +0.001 -0.336 +1.000 -0.048 +0.004 +0.005 +0.004 +0.018 +0.032 +0.043 : CosThetaStar: -0.044 -0.004 +0.002 -0.010 -0.048 +1.000 -0.005 -0.020 -0.012 -0.307 -0.699 -0.837 : nSigmaTOFpr: +0.003 +0.001 -0.002 +0.003 +0.004 -0.005 +1.000 +0.999 +1.000 +0.228 -0.113 -0.051 : nSigmaTOFpi: +0.004 +0.001 -0.002 +0.002 +0.005 -0.020 +0.999 +1.000 +1.000 +0.228 -0.104 -0.039 : nSigmaTOFka: +0.004 +0.001 -0.002 +0.002 +0.004 -0.012 +1.000 +1.000 +1.000 +0.228 -0.109 -0.045 : nSigmaTPCpr: +0.015 -0.001 -0.002 -0.001 +0.018 -0.307 +0.228 +0.228 +0.228 +1.000 +0.279 +0.451 : nSigmaTPCpi: +0.028 +0.001 -0.001 -0.004 +0.032 -0.699 -0.113 -0.104 -0.109 +0.279 +1.000 +0.912 : nSigmaTPCka: +0.035 +0.002 -0.001 -0.009 +0.043 -0.837 -0.051 -0.039 -0.045 +0.451 +0.912 +1.000 : ------------------------------------------------------------------------------------------------------------------------------------------------- DataSetFactory : [dataset] : : Factory : Train method: BDT for Classification : BDT : #events: (reweighted) sig: 161224 bkg: 161224 : #events: (unweighted) sig: 72447 bkg: 250000 : Training 850 Decision Trees ... patience please : Elapsed time for training with 322447 events: 217 sec BDT : [dataset] : Evaluation of BDT on training sample (322447 events) : Elapsed time for evaluation of 322447 events: 15.7 sec : Creating xml weight file: dataset/weights/TMVAClassificationCategory_BDT.weights.xml : Creating standalone class: dataset/weights/TMVAClassificationCategory_BDT.class.C : TMVA_Lc_BDT_20210423_ptBin_0_1_12_Category.root:/dataset/Method_BDT/BDT Factory : Training finished : Factory : Train method: BdtCat for Classification : : Train all sub-classifiers for Classification ... : Train method: Category_BDT_1 for Classification Category_BDT_1 : #events: (reweighted) sig: 161224 bkg: 161224 : #events: (unweighted) sig: 72447 bkg: 250000 : Training 850 Decision Trees ... patience please : Elapsed time for training with 322447 events: 233 sec Category_BDT_1 : [Category_BDT_1_dsi] : Evaluation of Category_BDT_1 on training sample (322447 events) : Elapsed time for evaluation of 322447 events: 18.3 sec : TMVA_Lc_BDT_20210423_ptBin_0_1_12_Category.root:/dataset/Method_Category/BdtCat/Method_BDT/Category_BDT_1 : Training finished : Train method: Category_BDT_2 for Classification Category_BDT_2 : #events: (reweighted) sig: 161224 bkg: 161224 : #events: (unweighted) sig: 72447 bkg: 250000 : Training 850 Decision Trees ... patience please : Elapsed time for training with 322447 events: 248 sec Category_BDT_2 : [Category_BDT_2_dsi] : Evaluation of Category_BDT_2 on training sample (322447 events) : Elapsed time for evaluation of 322447 events: 19.9 sec : TMVA_Lc_BDT_20210423_ptBin_0_1_12_Category.root:/dataset/Method_Category/BdtCat/Method_BDT/Category_BDT_2 : Training finished : Begin ranking of input variables... Category_BDT_1 : Ranking result (top variable is best ranked) : ---------------------------------------------- : Rank : Variable : Variable Importance : ---------------------------------------------- : 1 : CtK0S : 2.405e-01 : 2 : CosThetaStar : 1.360e-01 : 3 : cosPAK0S : 9.549e-02 : 4 : nSigmaTPCpi : 8.891e-02 : 5 : nSigmaTOFka : 6.364e-02 : 6 : tImpParBach : 6.298e-02 : 7 : nSigmaTOFpi : 5.993e-02 : 8 : massK0S : 5.416e-02 : 9 : tImpParV0 : 5.282e-02 : 10 : nSigmaTPCpr : 5.219e-02 : 11 : nSigmaTPCka : 4.715e-02 : 12 : nSigmaTOFpr : 4.622e-02 : ---------------------------------------------- Category_BDT_2 : Ranking result (top variable is best ranked) : ---------------------------------------------- : Rank : Variable : Variable Importance : ---------------------------------------------- : 1 : CtK0S : 2.306e-01 : 2 : nSigmaTPCka : 1.319e-01 : 3 : nSigmaTPCpi : 1.141e-01 : 4 : CosThetaStar : 1.100e-01 : 5 : cosPAK0S : 1.082e-01 : 6 : nSigmaTPCpr : 9.406e-02 : 7 : tImpParBach : 7.549e-02 : 8 : massK0S : 7.120e-02 : 9 : tImpParV0 : 6.453e-02 : ---------------------------------------------- : Elapsed time for training with 322447 events: 520 sec BdtCat : [dataset] : Evaluation of BdtCat on training sample (322447 events) : Elapsed time for evaluation of 322447 events: 22.4 sec : Creating xml weight file: dataset/weights/TMVAClassificationCategory_BdtCat.weights.xml Factory : Training finished : : Ranking input variables (method specific)... BDT : Ranking result (top variable is best ranked) : ---------------------------------------------- : Rank : Variable : Variable Importance : ---------------------------------------------- : 1 : CtK0S : 2.154e-01 : 2 : CosThetaStar : 1.033e-01 : 3 : cosPAK0S : 9.984e-02 : 4 : nSigmaTPCpi : 9.154e-02 : 5 : nSigmaTPCka : 8.682e-02 : 6 : nSigmaTPCpr : 8.002e-02 : 7 : tImpParBach : 7.104e-02 : 8 : massK0S : 6.418e-02 : 9 : nSigmaTOFpr : 5.234e-02 : 10 : tImpParV0 : 5.203e-02 : 11 : nSigmaTOFpi : 5.036e-02 : 12 : nSigmaTOFka : 3.313e-02 : ---------------------------------------------- : No variable ranking supplied by classifier: BdtCat Factory : === Destroy and recreate all methods via weight files for testing === : : Reading weight file: dataset/weights/TMVAClassificationCategory_BDT.weights.xml : Reading weight file: dataset/weights/TMVAClassificationCategory_BdtCat.weights.xml : Recreating sub-classifiers from XML-file create data set info Category_BDT_1_dsi DataSetInfo : [Category_BDT_1_dsi] : Added class "Signal" DataSetInfo : [Category_BDT_1_dsi] : Added class "Background" create data set info Category_BDT_2_dsi DataSetInfo : [Category_BDT_2_dsi] : Added class "Signal" DataSetInfo : [Category_BDT_2_dsi] : Added class "Background" Factory : Test all methods Factory : Test method: BDT for Classification performance : BDT : [dataset] : Evaluation of BDT on testing sample (322447 events) : Elapsed time for evaluation of 322447 events: 27.9 sec Factory : Test method: BdtCat for Classification performance : BdtCat : [dataset] : Evaluation of BdtCat on testing sample (322447 events) : Elapsed time for evaluation of 322447 events: 32.6 sec Factory : Evaluate all methods Factory : Evaluate classifier: BDT : BDT : [dataset] : Loop over test events and fill histograms with classifier response... : TFHandler_BDT : Variable Mean RMS [ Min Max ] : ------------------------------------------------------------------------------- : massK0S: 0.49770 0.0043139 [ 0.48761 0.50761 ] : tImpParBach: 0.00011927 0.090064 [ -0.50000 0.49999 ] : tImpParV0: -0.00024671 0.36919 [ -1.4999 1.4998 ] : CtK0S: 15.580 29.976 [ 0.013259 243.54 ] : cosPAK0S: 0.99862 0.0023326 [ 0.99000 1.0000 ] : CosThetaStar: 0.053961 0.59703 [ -0.99999 1.0000 ] : nSigmaTOFpr: -633.12 481.34 [ -999.00 3.0000 ] : nSigmaTOFpi: -609.21 513.16 [ -999.00 242.83 ] : nSigmaTOFka: -618.02 501.29 [ -999.00 94.001 ] : nSigmaTPCpr: -0.32669 1.2146 [ -3.0000 2.9999 ] : nSigmaTPCpi: 15.226 21.311 [ -3.7744 383.16 ] : nSigmaTPCka: 10.022 8.3616 [ -2.1571 62.563 ] : ------------------------------------------------------------------------------- Factory : Evaluate classifier: BdtCat : BdtCat : [dataset] : Loop over test events and fill histograms with classifier response... : TFHandler_BdtCat : Variable Mean RMS [ Min Max ] : ------------------------------------------------------------------------------- : massK0S: 0.49770 0.0043139 [ 0.48761 0.50761 ] : tImpParBach: 0.00011927 0.090064 [ -0.50000 0.49999 ] : tImpParV0: -0.00024671 0.36919 [ -1.4999 1.4998 ] : CtK0S: 15.580 29.976 [ 0.013259 243.54 ] : cosPAK0S: 0.99862 0.0023326 [ 0.99000 1.0000 ] : CosThetaStar: 0.053961 0.59703 [ -0.99999 1.0000 ] : nSigmaTOFpr: -633.12 481.34 [ -999.00 3.0000 ] : nSigmaTOFpi: -609.21 513.16 [ -999.00 242.83 ] : nSigmaTOFka: -618.02 501.29 [ -999.00 94.001 ] : nSigmaTPCpr: -0.32669 1.2146 [ -3.0000 2.9999 ] : nSigmaTPCpi: 15.226 21.311 [ -3.7744 383.16 ] : nSigmaTPCka: 10.022 8.3616 [ -2.1571 62.563 ] : ------------------------------------------------------------------------------- : : Evaluation results ranked by best signal efficiency and purity (area) : ------------------------------------------------------------------------------------------------------------------- : DataSet MVA : Name: Method: ROC-integ : dataset BDT : 0.832 : dataset BdtCat : 0.747 : ------------------------------------------------------------------------------------------------------------------- : : 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 BDT : 0.059 (0.061) 0.390 (0.397) 0.830 (0.833) : dataset BdtCat : 0.080 (0.081) 0.342 (0.341) 0.592 (0.596) : ------------------------------------------------------------------------------------------------------------------- : Dataset:dataset : Created tree 'TestTree' with 322447 events : Dataset:dataset : Created tree 'TrainTree' with 322447 events : Factory : Thank you for using TMVA! : For citation information, please visit: http://tmva.sf.net/citeTMVA.html ==> Wrote root file: TMVA_Lc_BDT_20210423_ptBin_0_1_12_Category.root ==> TMVAClassification is done! 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