======> EVENT:12 LepAEn = 37.4775 LepBEn = 26.8856 dilmass = 25.873 metmag = 43.8938 ChargeProduct = -1 addEt = 94.8512 dPhiMetLJ = 2.56683 ntightjets = 0 jet1_Et = 0 jet2_Et = 0 weight = 1 rand = 0.72358 type = 1 dildphi = 1.04214 metsig = 4.19472 lepR = 1.05953 diltype = 1 Mt_ll = 0 Mt_llMet = 0 Mt_All = 0 DilPhillCorr = 0 LRHWW = 0.677216 LRWW = 0.103231 LRZZ = 0 LRWg = 0.828032 LRWj = 0.885448 run = 141597 evt = 23 ======> EVENT:12 LepAEn = 55.7422 LepBEn = 25.0744 dilmass = 40.5749 metmag = 65.5773 ChargeProduct = -1 addEt = 134.707 dPhiMetLJ = 2.65163 ntightjets = 0 jet1_Et = 0 jet2_Et = 0 weight = 1 rand = 0.72358 type = 0 dildphi = 1.2624 metsig = 6.55589 lepR = 1.31821 diltype = 1 Mt_ll = 0 Mt_llMet = 0 Mt_All = 0 DilPhillCorr = 0 LRHWW = 1.02928e-07 LRWW = 0.251566 LRZZ = 0 LRWg = 0.502064 LRWj = 0.806814 run = 141576 evt = 91 Bkg Entries: 99800 Sig Entries: 50000 Chosen entries: 50000 Signal fraction: 1 Background fraction: 0.501002 making factory.. Factory Constructor --- TMVA::Factory: _______________________________________ --- TMVA::Factory:  // |\ /|| \ // /\\\\\\\\\\\\ \ \ \  --- TMVA::Factory: // | \/ || \// /--\\\\\\\\\\\\ \ \ \ factory made.. Adding variable LRHWW Adding variable LRWW Adding variable LRWg Adding variable LRWj Adding variable LRZZ Adding variable LepAEn Adding variable LepBEn Adding variable addEt Adding variable dPhiMetLJ Adding variable dildphi Adding variable dilmass Adding variable jet1_Et Adding variable jet2_Et Adding variable lepR Adding variable metmag Adding variable metsig Adding variable ntightjets factory PrepareTrainingAndTestTree... --- --- DataSet: prepare training and Test samples --- DataSet: 1 signal trees with total number of events : 50000 --- DataSet: 1 background trees with total number of events : 99800 --- DataSet: no cuts applied --- DataSet: num of training signal events : 1...25000 --- DataSet: num of training background events : 1...25000 --- DataSet: num of testing signal events : 25000...50000 --- DataSet: num of testing background events : 25000...50000 --- DataSet: create test tree: looping over signal events ... --- DataSet: create test tree: looping over background events ... --- DataSet: compute correlation matrix for tree: TrainingTree --- --- DataSet: correlation matrix (signal): ------------------------------------------------------------------------------------------------------------------------------------------------------------ --- LRHWW LRWW LRWg LRWj LRZZ LepAEn LepBEn addEt dPhiMetLJ dildphi dilmass jet1_Et jet2_Et lepR metmag metsig ntightjets --- LRHWW: +1.000 +0.141 -0.191 +0.279 -0.080 -0.060 -0.219 +0.139 +0.072 -0.188 -0.186 -0.058 -0.033 -0.203 +0.190 +0.207 +0.034 --- LRWW: +0.141 +1.000 -0.463 -0.299 +0.059 +0.062 +0.251 +0.378 -0.112 +0.031 +0.221 +0.248 +0.142 +0.018 +0.178 +0.027 +0.168 --- LRWg: -0.191 -0.463 +1.000 -0.364 -0.082 -0.126 -0.126 -0.339 +0.111 -0.034 -0.183 -0.257 -0.132 -0.029 -0.166 -0.034 -0.158 --- LRWj: +0.279 -0.299 -0.364 +1.000 -0.055 -0.021 -0.155 +0.096 +0.005 +0.109 +0.135 -0.073 -0.042 +0.120 +0.071 +0.089 -0.046 --- LRZZ: -0.080 +0.059 -0.082 -0.055 +1.000 +0.107 +0.117 +0.156 -0.055 +0.049 +0.128 +0.162 +0.054 +0.050 +0.008 -0.060 +0.045 --- LepAEn: -0.060 +0.062 -0.126 -0.021 +0.107 +1.000 +0.210 +0.316 -0.150 -0.007 +0.149 +0.229 +0.115 -0.015 -0.032 -0.135 +0.147 --- LepBEn: -0.219 +0.251 -0.126 -0.155 +0.117 +0.210 +1.000 +0.150 -0.111 +0.014 +0.269 +0.164 +0.092 +0.040 -0.081 -0.167 +0.112 --- addEt: +0.139 +0.378 -0.339 +0.096 +0.156 +0.316 +0.150 +1.000 -0.035 -0.274 -0.050 +0.501 +0.251 -0.346 +0.732 +0.462 +0.273 --- dPhiMetLJ: +0.072 -0.112 +0.111 +0.005 -0.055 -0.150 -0.111 -0.035 +1.000 -0.276 -0.294 -0.440 -0.303 -0.245 +0.209 +0.420 -0.502 --- dildphi: -0.188 +0.031 -0.034 +0.109 +0.049 -0.007 +0.014 -0.274 -0.276 +1.000 +0.775 -0.165 -0.082 +0.923 -0.349 -0.343 -0.124 --- dilmass: -0.186 +0.221 -0.183 +0.135 +0.128 +0.149 +0.269 -0.050 -0.294 +0.775 +1.000 -0.012 -0.005 +0.853 -0.335 -0.397 -0.016 --- jet1_Et: -0.058 +0.248 -0.257 -0.073 +0.162 +0.229 +0.164 +0.501 -0.440 -0.165 -0.012 +1.000 +0.449 -0.175 +0.235 -0.160 +0.712 --- jet2_Et: -0.033 +0.142 -0.132 -0.042 +0.054 +0.115 +0.092 +0.251 -0.303 -0.082 -0.005 +0.449 +1.000 -0.089 +0.110 -0.136 +0.715 --- lepR: -0.203 +0.018 -0.029 +0.120 +0.050 -0.015 +0.040 -0.346 -0.245 +0.923 +0.853 -0.175 -0.089 +1.000 -0.371 -0.350 -0.130 --- metmag: +0.190 +0.178 -0.166 +0.071 +0.008 -0.032 -0.081 +0.732 +0.209 -0.349 -0.335 +0.235 +0.110 -0.371 +1.000 +0.854 +0.082 --- metsig: +0.207 +0.027 -0.034 +0.089 -0.060 -0.135 -0.167 +0.462 +0.420 -0.343 -0.397 -0.160 -0.136 -0.350 +0.854 +1.000 -0.247 --- ntightjets: +0.034 +0.168 -0.158 -0.046 +0.045 +0.147 +0.112 +0.273 -0.502 -0.124 -0.016 +0.712 +0.715 -0.130 +0.082 -0.247 +1.000 ------------------------------------------------------------------------------------------------------------------------------------------------------------ --- --- DataSet: correlation matrix (background): ------------------------------------------------------------------------------------------------------------------------------------------------------------ --- LRHWW LRWW LRWg LRWj LRZZ LepAEn LepBEn addEt dPhiMetLJ dildphi dilmass jet1_Et jet2_Et lepR metmag metsig ntightjets --- LRHWW: +1.000 -0.397 +0.255 +0.384 -0.209 -0.368 -0.374 -0.479 +0.032 -0.136 -0.444 +0.010 -0.012 -0.234 -0.254 -0.141 +0.031 --- LRWW: -0.397 +1.000 -0.614 -0.741 -0.031 +0.280 +0.306 +0.474 +0.005 -0.015 +0.320 +0.071 +0.053 +0.007 +0.346 +0.238 +0.082 --- LRWg: +0.255 -0.614 +1.000 +0.230 -0.204 -0.222 -0.209 -0.373 +0.087 -0.093 -0.240 -0.197 -0.104 -0.055 -0.228 -0.105 -0.155 --- LRWj: +0.384 -0.741 +0.230 +1.000 -0.164 -0.258 -0.228 -0.425 -0.050 +0.110 -0.243 -0.062 -0.044 +0.058 -0.384 -0.298 -0.064 --- LRZZ: -0.209 -0.031 -0.204 -0.164 +1.000 +0.139 +0.053 +0.128 -0.082 +0.154 +0.104 +0.052 +0.022 +0.155 +0.063 +0.001 +0.029 --- LepAEn: -0.368 +0.280 -0.222 -0.258 +0.139 +1.000 +0.391 +0.680 -0.149 +0.214 +0.673 +0.109 +0.060 +0.302 +0.257 +0.046 +0.077 --- LepBEn: -0.374 +0.306 -0.209 -0.228 +0.053 +0.391 +1.000 +0.528 -0.144 +0.279 +0.737 +0.014 +0.009 +0.349 -0.023 -0.184 +0.010 --- addEt: -0.479 +0.474 -0.373 -0.425 +0.128 +0.680 +0.528 +1.000 -0.064 +0.071 +0.685 +0.189 +0.099 +0.066 +0.613 +0.352 +0.125 --- dPhiMetLJ: +0.032 +0.005 +0.087 -0.050 -0.082 -0.149 -0.144 -0.064 +1.000 -0.409 -0.248 -0.251 -0.172 -0.355 +0.224 +0.375 -0.297 --- dildphi: -0.136 -0.015 -0.093 +0.110 +0.154 +0.214 +0.279 +0.071 -0.409 +1.000 +0.510 -0.075 -0.040 +0.868 -0.459 -0.620 -0.055 --- dilmass: -0.444 +0.320 -0.240 -0.243 +0.104 +0.673 +0.737 +0.685 -0.248 +0.510 +1.000 +0.029 +0.017 +0.639 -0.009 -0.244 +0.023 --- jet1_Et: +0.010 +0.071 -0.197 -0.062 +0.052 +0.109 +0.014 +0.189 -0.251 -0.075 +0.029 +1.000 +0.418 -0.068 +0.229 +0.019 +0.743 --- jet2_Et: -0.012 +0.053 -0.104 -0.044 +0.022 +0.060 +0.009 +0.099 -0.172 -0.040 +0.017 +0.418 +1.000 -0.037 +0.118 -0.006 +0.662 --- lepR: -0.234 +0.007 -0.055 +0.058 +0.155 +0.302 +0.349 +0.066 -0.355 +0.868 +0.639 -0.068 -0.037 +1.000 -0.401 -0.543 -0.048 --- metmag: -0.254 +0.346 -0.228 -0.384 +0.063 +0.257 -0.023 +0.613 +0.224 -0.459 -0.009 +0.229 +0.118 -0.401 +1.000 +0.908 +0.150 --- metsig: -0.141 +0.238 -0.105 -0.298 +0.001 +0.046 -0.184 +0.352 +0.375 -0.620 -0.244 +0.019 -0.006 -0.543 +0.908 +1.000 -0.026 --- ntightjets: +0.031 +0.082 -0.155 -0.064 +0.029 +0.077 +0.010 +0.125 -0.297 -0.055 +0.023 +0.743 +0.662 -0.048 +0.150 -0.026 +1.000 ------------------------------------------------------------------------------------------------------------------------------------------------------------ --- --- DataSet: create decorrelated tree of TrainingTree --- DataSet: plot variables theTree->GetEntries() 50000 15769 25000 11760.3 25000 625000000 625000000 0.0725534 0.47041 0.397857 2.4866e+08 2.4866e+08625000000 25000 2.4866e+08 6.25e+08 0.397857 25000 625000000 625000000 0.269357 0.267079 4291.32 25000 1851.64 25000 625000000 625000000 0.044601 0.0740657 0.0294647 1.84154e+07 1.84154e+07625000000 25000 1.84154e+07 6.25e+08 0.0294647 25000 625000000 625000000 0.21119 0.315803 14781.4 25000 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37.3677 325.248 325.248 325.248 37.3677 variable:8 24018 24629 1.18341e-05 1.18341e-05 3.14159 3.14159 3.14159 1.18341e-05 variable:9 25000 24999 1.00224e-05 1.00224e-05 3.14158 3.14158 3.14158 1.00224e-05 variable:10 25000 24809 6.96427 6.96427 291.895 291.895 291.895 6.96427 variable:11 24789 24855 0 0 119.235 119.235 119.235 0 variable:12 24651 24866 0 0 36.306 36.306 36.306 0 variable:13 25000 24999 0.0769938 0.0769938 4.64117 4.64117 4.64117 0.0769938 variable:14 24973 24915 5.94031 5.94031 132.809 132.809 132.809 5.94031 variable:15 24998 24992 0.481354 0.481354 11.0917 11.0917 11.0917 0.481354 variable:16 24933 24981 0 0 3.37149 3.37149 3.37149 0 --- DataSet: create scatter and profile plots in directory: CorrelationPlots --- --- DataSet: pre-ranking of input variables: --- DataSet: ranked output (top variable is best ranked) ---------------------------------------------------------------- --- Rank : Variable : Separation ---------------------------------------------------------------- --- 1 : dilmass : 4.608e+04 --- 2 : addEt : 2.939e+04 --- 3 : LepBEn : 1.695e+04 --- 4 : LepAEn : 1.063e+04 --- 5 : metmag : 4.727e+03 --- 6 : jet1_Et : 5.667e+02 --- 7 : lepR : 3.797e+02 --- 8 : metsig : 2.517e+02 --- 9 : dildphi : 1.974e+02 --- 10 : LRHWW : 1.643e+02 --- 11 : LRWW : 1.091e+02 --- 12 : jet2_Et : 7.553e+01 --- 13 : LRWj : 5.546e+01 --- 14 : LRWg : 4.394e+01 --- 15 : LRZZ : 4.393e+01 --- 16 : dPhiMetLJ : 2.639e+01 --- 17 : ntightjets : 1.557e+01 ---------------------------------------------------------------- --- DataSet: plot decorrelated variables theTree->GetEntries() 50000 61622.2 25000 176892 25000 625000000 625000000 1 7.07567 6.07567 3.7973e+09 3.7973e+09625000000 25000 3.7973e+09 6.25e+08 6.07567 25000 625000000 625000000 1 1 3995.9 25000 25638.7 25000 625000000 625000000 1 1.02555 0.0255475 1.59672e+07 1.59672e+07625000000 25000 1.59672e+07 6.25e+08 0.0255475 25000 625000000 625000000 1 1 113115 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5.41218 38.7616 -123.146 -0.667859 4 7.56225 2.16407 11.2641 7.14189 -16.9591 0.48441 4 0.824016 0.519244 1.14241 6.32835 -2.62876 -0.233761 4 0.615063 -1.1094 1.79033 12.7874 -2.60103 0.318218 4 0.47985 -0.15754 0.580978 1.66408 -3.84176 -0.257871 4 0.305466 0.65298 0.856983 5.62582 -6.38465 0.037384 4 0.375584 0.0351694 0.361363 1.85241 -1.04262 0.116672 4 0.380718 -0.262162 0.413455 0.94137 -1.25652 -0.210705 4 0.232507 0.299173 0.267003 1.06889 -0.710128 0.107983 4 0.111062 0.309937 0.562264 2.21552 -1.91024 0.0172782 4 0.184068 -0.0920022 0.26639 0.438527 -0.556277 0.0287552 4 0.119416 0.0430718 0.18009 fillS425000 fillB425000 variable:0 24999 24827 -125.179 -125.179 210.933 210.933 210.933 -125.179 variable:1 24976 24746 -151.248 -151.248 191.404 191.404 191.404 -151.248 variable:2 24996 24895 -120.336 -120.336 147.086 147.086 147.086 -120.336 variable:3 24999 24808 -169.718 -169.718 279.357 279.357 279.357 -169.718 variable:4 24992 24760 -83.762 -83.762 63.1881 63.1881 63.1881 -83.762 variable:5 24811 24841 -25.7383 -25.7383 31.0847 31.0847 31.0847 -25.7383 variable:6 24902 24760 -42.8923 -42.8923 38.7616 38.7616 38.7616 -42.8923 variable:7 24999 24856 -4.05039 -4.05039 5.08887 5.08887 5.08887 -4.05039 variable:8 25000 21656 -2.62876 -2.62876 6.05191 6.05191 6.05191 -2.62876 variable:9 24999 24907 -2.48145 -2.48145 2.23762 2.23762 2.23762 -2.48145 variable:10 24999 22490 -2.77495 -2.77495 1.66408 1.66408 1.66408 -2.77495 variable:11 24810 24950 -1.46495 -1.46495 1.53972 1.53972 1.53972 -1.46495 variable:12 25000 24314 -1.04262 -1.04262 1.63954 1.63954 1.63954 -1.04262 variable:13 24998 24966 -1.14073 -1.14073 0.94137 0.94137 0.94137 -1.14073 variable:14 25000 23056 -0.710128 -0.710128 1.06889 1.06889 1.06889 -0.710128 variable:15 24998 24793 -1.15756 -1.15756 0.973556 0.973556 0.973556 -1.15756 variable:16 25000 23659 -0.556277 -0.556277 0.438527 0.438527 0.438527 -0.556277 --- DataSet: create scatter and profile plots in directory: CorrelationPlots_PCA factory PrepareTrainingAndTestTree done. Booking types --- MLP: parsing option string: --- "!V:NCycles=200:HiddenLayers=N+1,N" --- MLP: the following options are set: --- by User: --- -------- --- V: False [verbose flag] --- NCycles: 200 [Number of training cycles] --- HiddenLayers: "N+1,N" [Specification of the hidden layers] --- default: --- -------- --- D: False [use-decorrelated-variables flag (for backward compatibility, please switch to Preprocess)] --- Preprocess: "None" [Variable Decorrelation Method] --- PreprocessType: "Signal" [Use signal or background for Preprocess] --- H: False [help flag] --- Normalize: True [Normalize input variables] --- NeuronType: "sigmoid" [Neuron activation function type] --- NeuronInputType: "sum" [Neuron input function type] --- TrainingMethod: "BP" [Train with Back-Propagation (BP) or Genetic Algorithm (GA) (takes a LONG time)] --- LearningRate: 0.02 [NN learning rate parameter] --- DecayRate: 0.01 [Decay rate for learning parameter] --- TestRate: 10 [Test for overtraining performed at each #th epochs] --- BPMode: "sequential" [Back-propagation learning mode: sequential or batch] --- BatchSize: -1 [Batch size: number of events/batch, only set if in Batch Mode, -1 for BatchSize=number_of_events] --- MLP: Clearing Network --- MLP: Initializing Weights methods set; training... --- TMVA::Factory: train method: H6AONN5MEMLP --- MLP: Training Network --- MLP: [.......................] (0%, time left: unknown) --- MLP: [.......................] (1%, time left: 26 mins) --- MLP: [.......................] (1%, time left: 26 mins) --- MLP: [.......................] (2%, time left: 26 mins) --- MLP: [.......................] (2%, time left: 26 mins) --- MLP: [.......................] (3%, time left: 26 mins) --- MLP: [.......................] (3%, time left: 25 mins) --- MLP: [.......................] (4%, time left: 25 mins) --- MLP: [.......................] (4%, time left: 25 mins) --- MLP: [>......................] (5%, time left: 25 mins) --- MLP: [>......................] 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[>>>>>>>>>..............] (38%, time left: 17 mins) --- MLP: [>>>>>>>>>..............] (38%, time left: 17 mins) --- MLP: [>>>>>>>>>..............] (39%, time left: 17 mins) --- MLP: [>>>>>>>>>..............] (39%, time left: 17 mins) --- MLP: [>>>>>>>>>..............] (40%, time left: 17 mins) --- MLP: [>>>>>>>>>..............] (40%, time left: 17 mins) --- MLP: [>>>>>>>>>..............] (41%, time left: 16 mins) --- MLP: [>>>>>>>>>..............] (41%, time left: 16 mins) --- MLP: [>>>>>>>>>..............] (42%, time left: 16 mins) --- MLP: [>>>>>>>>>>.............] (42%, time left: 16 mins) --- MLP: [>>>>>>>>>>.............] (43%, time left: 16 mins) --- MLP: [>>>>>>>>>>.............] (43%, time left: 16 mins) --- MLP: [>>>>>>>>>>.............] (44%, time left: 15 mins) --- MLP: [>>>>>>>>>>.............] (44%, time left: 15 mins) --- MLP: [>>>>>>>>>>.............] (45%, time left: 15 mins) --- MLP: [>>>>>>>>>>.............] (45%, time left: 15 mins) --- MLP: 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MLP: [>>>>>>>>>>>>>>>>>>>>>>.] (95%, time left: 93 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>.] (95%, time left: 85 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>.] (96%, time left: 76 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (96%, time left: 68 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (97%, time left: 59 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (97%, time left: 51 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (98%, time left: 42 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (98%, time left: 34 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (99%, time left: 25 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (99%, time left: 17 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (100%, time left: 8 sec) --- MLP: Train: elapsed time: 1.71e+03 sec --- MLP: creating weight file: weights/TMVTEST2_110_3.root_H6AONN5MEMLP.weights.txt --- MLP: Write special histos to file: TMVA2_110_3.root:/H6AONN5MEMLP --- --- TMVA::Factory: begin ranking of input variables: --- MLP: ranked output (top variable is best ranked) ---------------------------------------------------------------- --- Rank : Variable : Sum of weights-squared ---------------------------------------------------------------- --- 1 : dPhiMetLJ : 1.321e+01 --- 2 : LRWj : 9.275e+00 --- 3 : LRWW : 5.713e+00 --- 4 : LRHWW : 5.620e+00 --- 5 : dildphi : 4.924e+00 --- 6 : LRWg : 3.289e+00 --- 7 : lepR : 2.378e+00 --- 8 : metsig : 1.082e+00 --- 9 : dilmass : 3.850e-01 --- 10 : metmag : 2.031e-01 --- 11 : LepBEn : 1.274e-01 --- 12 : addEt : 1.080e-01 --- 13 : ntightjets : 5.177e-02 --- 14 : LRZZ : 2.583e-02 --- 15 : jet1_Et : 2.463e-02 --- 16 : LepAEn : 2.398e-02 --- 17 : jet2_Et : 3.871e-03 ---------------------------------------------------------------- --- testing... --- TMVA::Factory: begin testing all methods: --- TMVA::Factory: test method: H6AONN5MEMLP --- MLP: reading weight file: weights/TMVTEST2_110_3.root_H6AONN5MEMLP.weights.txt --- MLP: Clearing Network --- MLP: Initializing Weights --- MLP: Forcing Weights --- MLP: 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--- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (98%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (98%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (98%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (98%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (98%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (99%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (99%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (99%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (99%, time left: 0 sec) --- MLP: [>>>>>>>>>>>>>>>>>>>>>>>] (99%, time left: 0 sec) --- MLP: elapsed time for evaluation of 50000 events: 9.48 sec testing done. --- TMVA::Factory: evaluate method: H6AONN5MEMLP --- --- TMVA::Factory: Evaluation results ranked by best 'signal eff @B=0.10' --------------------------------------------------------------------------- --- MVA Signal efficiency: Signifi- Sepa- mu-Trans- --- Methods: @B=0.01 @B=0.10 @B=0.30 cance: ration: form: --------------------------------------------------------------------------- --- H6AONN5MEMLP : 0.231 0.783 0.983 1.798 0.613 0.847 --------------------------------------------------------------------------- --- --- TMVA::Factory: Testing efficiency compared to training efficiency --- --> checks for overtraining --------------------------------------------------------------------------- --- MVA Signal efficiency: from test sample (from traing sample) --- Methods: @B=0.01 @B=0.10 @B=0.30 --------------------------------------------------------------------------- --- H6AONN5MEMLP : 0.231 (0.257) 0.783 (0.791) 0.983 (0.984) --------------------------------------------------------------------------- --- --- TMVA::Factory: Write Test Tree 'TestTree' to file --- MLP: Destructor called --- MLP: Clearing Network done