Training in /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/GlobalPID_Electron_Upstream_ANN.txt Training parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/train-config.txt Input Data file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/datafiles.txt Neurobayes parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/NB.txt Training Host = lxplus432.cern.ch Particle type = electron Background types = all Training Mix = NaturalMix Track type = Upstream Track PresSel = TrackPreSelNone Network type = NeuroBayes Ghost treatment = Ghosts Ghosts Min P = 0 MeV/c Min Pt = 0 MeV/c Max Chi^2 = 10 Min likelihood = -100 Max Ghost Prob = 1 Output file = GlobalPID_Electron_Upstream_NeuroBayes.conf Skipping input #RichUsedR2Gas Skipping input #RichAboveElThres Skipping input #RichAbovePiThres Skipping input #RichAbovePrThres Training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC12-Binc-nu2.5/Reco13d.root Evaluation ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC12-Binc-nu2.5/Reco13a.root Training sample size = 1000000 Evaluation sample size = 5000000 Node layer two scale = 1.2 Input layer has 23 nodes, hidden layer has 26 nodes NB_DEF_TASK = CLA NB_DEF_MOM = 0 NB_DEF_REG = ALL NB_DEF_LOSS = ENTROPY NB_DEF_METHOD = BFGS NB_DEF_SHAPE = DIAG NB_DEF_LEARNDIAG = 1 NB_DEF_PRE = 621 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 23 Your number of nodes in the hidden layer is: 26 Your number of nodes in the output layer is: 1 You want to do classification You want to fix prepro shape to 6. order (DIA) and transform each node to diagonal You want to use fit alternative 2 for diag fit You use ASR+ARD for regularisation You use entropy as a loss function You want to use the BFGS algorithm You want to include the deviation from the diagonal in the error function global preprocessing flag: 621 You want to use the global preprocessing flag 21 You use momentum: 0.0000000 Input 2 NumProtoParticles PreproFlag 19 Input 3 TrackP PreproFlag 34 Input 4 TrackPt PreproFlag 34 Input 5 TrackChi2PerDof PreproFlag 14 Input 6 TrackNumDof PreproFlag 19 Input 7 TrackLikelihood PreproFlag 34 Input 8 TrackGhostProbability PreproFlag 34 Input 9 TrackCloneDist PreproFlag 34 Input 10 TrackFitVeloChi2 PreproFlag 14 Input 11 TrackFitVeloNDoF PreproFlag 19 Input 12 RichUsedAero PreproFlag 18 Input 13 RichUsedR1Gas PreproFlag 18 Input 14 RichAboveMuThres PreproFlag 18 Input 15 RichAboveKaThres PreproFlag 18 Input 16 RichDLLe PreproFlag 34 Input 17 RichDLLmu PreproFlag 34 Input 18 RichDLLk PreproFlag 34 Input 19 RichDLLp PreproFlag 34 Input 20 RichDLLbt PreproFlag 34 Input 21 InAccBrem PreproFlag 19 Input 22 BremPIDe PreproFlag 34 Input 23 VeloCharge PreproFlag 34 Attempting to open training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC12-Binc-nu2.5/Reco13d.root Found 5016459 training data points Read entry 501645 (9.99998%) Read entry 1003290 (20%) Read entry 1504935 (29.9999%) Read entry 2006580 (39.9999%) Read entry 2508225 (49.9999%) Read entry 3009870 (59.9999%) Read entry 3511515 (69.9999%) Read entry 4013160 (79.9999%) Read entry 4514805 (89.9998%) Read entry 5016450 (99.9998%) Considered 5016459 tracks for input to NN training Sel. Eff. = 15.3957% Selected 772320 tracks for input to NN training ghost percentage = 31.254% electron percentage = 4.90095% muon percentage = 0.306868% pion percentage = 53.4443% kaon percentage = 7.06508% Unknown Particle type 411 percentage = 0.00038844% Unknown Particle type 431 percentage = 0.00012948% Unknown Particle type 521 percentage = 0.00012948% proton percentage = 2.93674% Unknown Particle type 3112 percentage = 0.0337943% Unknown Particle type 3222 percentage = 0.0280972% Unknown Particle type 3312 percentage = 0.0130775% Unknown Particle type 3334 percentage = 0.00077688% Unknown Particle type 1000010020 percentage = 0.00246012% Unknown Particle type 1000010030 percentage = 0.00297804% Unknown Particle type 1000020040 percentage = 0.0102289% Starting Training. << hh tt >> << hh ii tt >> << hh tttttt >> << ppppp hhhhhh ii tt >> << pp pp hhh hh ii ----- tt >> << pp pp hh hh ii ----- tt >> << ppppp hh hh ii tt >> pp pp ////////////////////////////// pp \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Phi-T(R) NeuroBayes(R) Teacher Algorithms by Michael Feindt Implementation by Phi-T GmbH 2001-2011 Copyright Phi-T GmbH Version 20120322 Library compiled with: Number of Events= 772320 NB_MAXNODE = 150 ----------------------------------- preprocessing flags/parameters: individual preprocessing: variable # 2 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 3 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 4 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 5 : PreproFlag = 14 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 6 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 7 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 8 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 9 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 10 : PreproFlag = 14 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 11 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 12 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 13 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 14 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 15 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 16 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 17 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 18 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 19 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 20 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 21 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 22 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 23 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 Using weight factor: 1.00000000000000000 now perform preprocessing *** called with option 21 *** This will do for you: *** input variable equalisation *** to flat distribution with mean=0 and sigma=1 *** Then variables are decorrelated *** and rotated that all correlation to performance is in 2. input node Signal fraction: 4.9009480 % ------------------------------ Transdef: Tab for variable 1 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 ------------------------------ Transdef: Tab for variable 2 4.0000000 25.000000 29.000000 33.000000 35.000000 37.000000 39.000000 41.000000 43.000000 44.000000 46.000000 47.000000 49.000000 50.000000 51.000000 52.000000 53.000000 55.000000 56.000000 57.000000 58.000000 59.000000 60.000000 61.000000 62.000000 63.000000 64.000000 65.000000 66.000000 67.000000 68.000000 69.000000 70.000000 71.000000 72.000000 73.000000 74.000000 75.000000 76.000000 77.000000 78.000000 79.000000 80.000000 81.000000 81.000000 82.000000 83.000000 84.000000 85.000000 86.000000 87.000000 88.000000 89.000000 90.000000 91.000000 92.000000 93.000000 94.000000 95.000000 96.000000 97.000000 98.000000 99.000000 101.00000 102.00000 103.00000 104.00000 105.00000 106.00000 108.00000 109.00000 110.00000 111.00000 113.00000 114.00000 115.00000 117.00000 118.00000 120.00000 121.00000 123.00000 125.00000 126.00000 128.00000 130.00000 132.00000 135.00000 137.00000 139.00000 142.00000 145.00000 149.00000 152.00000 156.00000 161.00000 166.00000 173.00000 181.00000 191.00000 209.00000 407.00000 build map for variable # 2 NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 277.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 278.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 279.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 289.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 290.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 291.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 292.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 295.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 296.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 297.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 298.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 299.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 306.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 307.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 308.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 309.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 310.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 312.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 313.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 317.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 318.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 319.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 320.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 345.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 347.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 348.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 349.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 351.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 354.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 355.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 356.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 358.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 360.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 370.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 371.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 375.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 383.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 386.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 387.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 390.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 394.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 403.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 404.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 407.00000 Unregularised mean is returned ------------------------------ Transdef: Tab for variable 3 226.37000 514.89502 567.52002 607.59998 640.98499 670.82001 698.53003 724.23999 748.34998 771.37000 793.32001 814.52002 835.53003 856.29999 876.76501 896.95001 916.78998 936.46997 956.15997 975.45001 995.06000 1014.5350 1034.2500 1053.8800 1073.6851 1093.2300 1112.8300 1132.8101 1152.7800 1173.1899 1193.1550 1213.2300 1233.1899 1254.0000 1274.9900 1295.9650 1317.4700 1339.4200 1361.8700 1383.6899 1406.3149 1429.4550 1452.9750 1476.8450 1501.2400 1525.8900 1551.4700 1577.5601 1604.3199 1631.2300 1659.3600 1687.8600 1717.4800 1747.9301 1778.6300 1810.3300 1842.8700 1876.9050 1910.9850 1947.4399 1984.9150 2023.9700 2064.2300 2106.4500 2150.2000 2196.1348 2243.0701 2294.2300 2347.0400 2403.9751 2464.4551 2527.4199 2595.6548 2669.1499 2749.4099 2833.5049 2924.7000 3025.0801 3135.4448 3253.9299 3388.4751 3536.7949 3711.7200 3906.8799 4129.6201 4388.4648 4688.2998 5046.8550 5474.4102 5988.2646 6607.2148 7349.1299 8275.8398 9423.2793 10873.075 12690.450 15085.064 18350.871 23629.789 35141.703 4840366.5 do regularised spline fit for input variable # 3 build map for variable # 3 warning: map is empty for variable 3 ------------------------------ Transdef: Tab for variable 4 0.71040547 18.998266 25.029394 29.817083 34.086815 38.072899 41.942284 45.705200 49.357372 52.998123 56.581856 60.127853 63.595406 67.075806 70.571953 74.110985 77.641495 81.217491 84.853622 88.536903 92.305420 96.042892 99.765694 103.59299 107.45895 111.32054 115.20042 119.09923 123.19179 127.20603 131.27023 135.38664 139.47900 143.71446 147.91742 152.23279 156.59637 160.95825 165.40314 169.93593 174.51526 179.09683 183.72760 188.37357 193.06277 197.90239 202.71222 207.66299 212.73906 217.93939 223.17793 228.46497 233.81461 239.26770 244.82269 250.54233 256.52286 262.50067 268.62689 274.97107 281.52341 288.17010 294.92975 301.88824 309.08896 316.53198 324.11035 332.10022 340.21954 348.55649 357.18561 366.26111 375.77228 385.39844 395.55188 405.84048 416.58121 427.91010 439.94193 452.57166 465.98080 479.58655 494.59448 510.24969 527.57861 546.09033 566.93030 589.25049 614.06323 641.27209 672.12543 708.62927 750.16937 799.88269 860.72363 939.30994 1044.4626 1200.3441 1469.8967 2150.4204 994541.06 do regularised spline fit for input variable # 4 build map for variable # 4 warning: map is empty for variable 4 ------------------------------ Transdef: Tab for variable 5 3.05519532E-03 0.15486994 0.20630372 0.24315959 0.27337432 0.30026203 0.32476443 0.34690422 0.36744100 0.38692361 0.40532398 0.42251408 0.43935937 0.45539698 0.47130072 0.48649335 0.50127321 0.51580238 0.52980244 0.54394293 0.55775058 0.57140785 0.58497971 0.59820473 0.61115426 0.62423861 0.63698518 0.64974916 0.66250730 0.67516017 0.68795729 0.70060635 0.71337962 0.72582728 0.73843944 0.75074714 0.76312411 0.77558237 0.78797734 0.80024803 0.81322563 0.82592976 0.83863592 0.85121268 0.86405885 0.87689495 0.89006507 0.90322769 0.91643733 0.92956924 0.94292152 0.95671916 0.97080553 0.98476946 0.99893004 1.0130451 1.0276854 1.0421243 1.0569758 1.0720754 1.0874982 1.1033230 1.1195015 1.1359428 1.1526418 1.1695535 1.1868864 1.2045417 1.2229257 1.2419071 1.2612002 1.2809125 1.3014629 1.3222556 1.3435241 1.3660579 1.3888900 1.4124186 1.4369431 1.4627891 1.4903271 1.5190074 1.5488577 1.5800207 1.6137779 1.6482010 1.6853607 1.7257160 1.7679839 1.8142285 1.8633366 1.9160552 1.9744887 2.0399737 2.1100893 2.1905642 2.2802866 2.3865786 2.5134978 2.6797657 2.9985514 do regularised spline fit for input variable # 5 ------------------------------ Transdef: Tab for variable 6 4.0000000 4.0000000 4.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 12.000000 12.000000 12.000000 12.000000 12.000000 12.000000 12.000000 13.000000 13.000000 13.000000 13.000000 13.000000 13.000000 13.000000 14.000000 14.000000 14.000000 14.000000 15.000000 15.000000 15.000000 15.000000 16.000000 17.000000 18.000000 29.000000 build map for variable # 6 NB_MapRegMean: WARNING Variance of mean targets is zero in map id 6 for key 26.000000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 6 for key 28.000000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 6 for key 29.000000 Unregularised mean is returned ------------------------------ Transdef: Tab for variable 7 -99.187744 -27.266464 -20.046114 -15.731812 -13.380541 -11.984915 -11.009474 -10.259741 -9.6652985 -9.1762085 -8.7625189 -8.3921413 -8.0755653 -7.7974043 -7.5282917 -7.2755928 -7.0408688 -6.8192844 -6.6155849 -6.4304142 -6.2515001 -6.0819473 -5.9281950 -5.7788062 -5.6394486 -5.5060825 -5.3835254 -5.2641950 -5.1482034 -5.0292120 -4.9103227 -4.8016701 -4.6987820 -4.6043777 -4.5160208 -4.4351606 -4.3553858 -4.2796073 -4.2049952 -4.1300001 -4.0513115 -3.9675169 -3.8804135 -3.7928441 -3.7067008 -3.6243744 -3.5439773 -3.4647288 -3.3862047 -3.3064830 -3.2245917 -3.1432848 -3.0647554 -2.9937158 -2.9256425 -2.8614259 -2.8001866 -2.7393394 -2.6804075 -2.6209617 -2.5617986 -2.5028248 -2.4462311 -2.3928640 -2.3419566 -2.2939243 -2.2476139 -2.2043509 -2.1611900 -2.1189251 -2.0770741 -2.0357213 -1.9946733 -1.9518496 -1.9105344 -1.8695724 -1.8275788 -1.7872380 -1.7441918 -1.7018530 -1.6601105 -1.6176342 -1.5765326 -1.5359625 -1.4971771 -1.4596143 -1.4227855 -1.3874848 -1.3535397 -1.3197353 -1.2855923 -1.2532527 -1.2210244 -1.1848173 -1.1502988 -1.1164100 -1.0746772 -1.0355000 -0.98853946 -0.92018878 -0.32560724 do regularised spline fit for input variable # 7 build map for variable # 7 warning: map is empty for variable 7 ------------------------------ Transdef: Tab for variable 8 3.63154449E-02 8.18078369E-02 9.07289013E-02 9.67641175E-02 0.10149342 0.10547756 0.10895796 0.11207633 0.11496192 0.11765009 0.12020374 0.12261231 0.12487165 0.12704608 0.12912017 0.13113794 0.13309544 0.13499880 0.13689144 0.13872489 0.14056955 0.14235207 0.14415494 0.14595461 0.14772221 0.14953151 0.15129697 0.15309390 0.15489116 0.15670386 0.15849975 0.16035163 0.16219620 0.16405040 0.16596648 0.16789414 0.16988753 0.17187987 0.17394674 0.17603061 0.17822528 0.18043828 0.18274054 0.18512790 0.18762021 0.19018272 0.19285876 0.19562569 0.19858569 0.20167726 0.20486522 0.20815679 0.21171716 0.21543467 0.21942458 0.22366284 0.22820657 0.23306689 0.23825935 0.24378374 0.24969476 0.25607640 0.26299632 0.27044523 0.27857143 0.28683674 0.29592073 0.30513144 0.31473631 0.32433611 0.33401260 0.34353340 0.35300383 0.36235642 0.37145567 0.38071653 0.38967049 0.39851546 0.40753442 0.41639581 0.42548072 0.43507990 0.44481048 0.45499930 0.46538335 0.47652495 0.48840731 0.50092816 0.51400805 0.52817369 0.54333872 0.55914283 0.57663459 0.59573150 0.61678767 0.64013350 0.66789353 0.69970506 0.73912346 0.79538292 0.99986547 do regularised spline fit for input variable # 8 build map for variable # 8 warning: map is empty for variable 8 ------------------------------ Transdef: Tab for variable 9 2.2737811 33.404442 58.123322 80.774399 100.05792 121.34120 138.80321 159.85948 180.46027 199.52338 220.36038 240.98761 261.43091 283.30823 310.45160 334.90228 361.51050 392.50977 422.16190 450.42505 485.75958 521.31128 555.50189 593.92847 634.05115 677.15112 720.93311 765.18872 812.04401 858.35706 901.84619 949.66785 996.15588 1039.1780 1079.4380 1124.0852 1168.3096 1216.8497 1262.0879 1308.3550 1353.1465 1395.1035 1439.3914 1486.4800 1530.3530 1576.0990 1622.4873 1667.9174 1713.6528 1758.1792 1805.7356 1857.1125 1905.7891 1948.6799 1997.3103 2049.1909 2104.8845 2151.8218 2205.8579 2254.9727 2308.3706 2367.6553 2425.7158 2487.6084 2543.0371 2601.8223 2656.8818 2719.6021 2772.9517 2827.1387 2893.1919 2961.3787 3025.2935 3083.8970 3142.5059 3211.7539 3266.4583 3343.2192 3408.5522 3471.1370 3544.3318 3619.3164 3686.0386 3761.5156 3833.4548 3908.6104 3983.9521 4053.8555 4123.9395 4199.4785 4 Only one class left for trimmed mean or sigma very small -> take "normal" mean 271.3896 4335.5127 4409.0977 4482.5444 4555.0405 4622.3662 4711.6445 4779.1362 4847.2383 4921.6904 4999.4873 do regularised spline fit for input variable # 9 build map for variable # 9 ------------------------------ Transdef: Tab for variable 10 5.74890291E-05 0.12881958 0.24534276 0.35734957 0.46685642 0.57293761 0.67726338 0.77559114 0.87346166 0.97296906 1.0692642 1.1651018 1.2602211 1.3551965 1.4524658 1.5457470 1.6401057 1.7322466 1.8245221 1.9182050 2.0115001 2.1033077 2.1958101 2.2903755 2.3837748 2.4763179 2.5709383 2.6679668 2.7623343 2.8573651 2.9524863 3.0498266 3.1464190 3.2426679 3.3404722 3.4389796 3.5366771 3.6358407 3.7355866 3.8373220 3.9394701 4.0418634 4.1461611 4.2489924 4.3528337 4.4589095 4.5656271 4.6756597 4.7866726 4.8967099 5.0103006 5.1258640 5.2421160 5.3612309 5.4796147 5.5997915 5.7217531 5.8467445 5.9722385 6.0984678 6.2274876 6.3575368 6.4925642 6.6297779 6.7697182 6.9116678 7.0563555 7.2065811 7.3573732 7.5071726 7.6662107 7.8269424 7.9911675 8.1615734 8.3335533 8.5152206 8.7001419 8.8956127 9.0946732 9.3038635 9.5201674 9.7447453 9.9737606 10.213985 10.467916 10.731649 11.018169 11.317972 11.647563 11.989166 12.359715 12.773058 13.222935 13.735571 14.320901 14.990686 15.798859 16.817493 18.195459 20.523954 48.505966 do regularised spline fit for input variable # 10 ------------------------------ Transdef: Tab for variable 11 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 2.0000000 2.0000000 2.0000000 2.0000000 2.0000000 2.0000000 2.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 10.0000000 10.0000000 10.0000000 10.0000000 11.000000 11.000000 11.000000 11.000000 12.000000 12.000000 13.000000 14.000000 26.000000 build map for variable # 11 ------------------------------ Transdef: Tab for variable 12 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 12 ------------------------------ Transdef: Tab for variable 13 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 13 ------------------------------ Transdef: Tab for variable 14 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 14 ------------------------------ Transdef: Tab for variable 15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 15 ------------------------------ Transdef: Tab for variable 16 -112.46980 -39.830147 -35.898350 -33.940399 -32.550751 -31.435501 -30.527750 -29.720100 -28.994949 -28.333549 -27.723301 -27.156849 -26.630501 -26.130400 -25.657700 -25.195101 -24.750750 -24.323950 -23.912151 -23.514200 -23.134449 -22.759251 -22.398750 -22.040150 -21.693501 -21.345501 -21.003599 -20.667700 -20.336050 -20.005100 -19.686850 -19.369650 -19.059200 -18.750750 -18.454201 -18.149099 -17.849701 -17.547249 -17.248749 -16.944750 -16.644699 -16.340851 -16.049751 -15.757500 -15.452300 -15.158649 -14.871450 -14.571700 -14.272850 -13.976450 -13.673300 -13.377350 -13.071600 -12.765200 -12.458200 -12.149100 -11.844900 -11.535049 -11.213350 -10.905600 -10.580250 -10.256550 -9.9278507 -9.5841503 -9.2444000 -8.8998508 -8.5509005 -8.1975498 -7.8309002 -7.4580002 -7.0717502 -6.6898999 -6.3039999 -5.9007502 -5.4896002 -5.0763001 -4.6608000 -4.2245998 -3.7867999 -3.3491502 -2.9069500 -2.4723501 -2.0267999 -1.6016001 -1.1772000 -0.77749997 -0.37729999 -2.34999992E-02 0.36750001 0.92479998 1.6281500 2.5096002 3.5696499 4.8692002 6.4819002 8.5262003 11.074950 14.532650 19.843349 29.335350 129.78270 do regularised spline fit for input variable # 16 build map for variable # 16 ------------------------------ Transdef: Tab for variable 17 -73.042801 -18.728401 -14.874650 -12.911400 -11.575550 -10.530800 -9.6646996 -8.9336500 -8.2918491 -7.7326999 -7.2321501 -6.7756000 -6.3673000 -5.9922500 -5.6499500 -5.3423500 -5.0579000 -4.7995000 -4.5609999 -4.3379498 -4.1276999 -3.9347999 -3.7537999 -3.5826001 -3.4231000 -3.2679999 -3.1246500 -2.9871500 -2.8562000 -2.7335501 -2.6138999 -2.5005000 -2.3903999 -2.2830000 -2.1787000 -2.0804000 -1.9834000 -1.8890001 -1.7972500 -1.7091000 -1.6224000 -1.5393000 -1.4559500 -1.3731000 -1.2934000 -1.2165000 -1.1392000 -1.0635000 -0.98909998 -0.91630000 -0.84280002 -0.77120000 -0.70069999 -0.63104999 -0.56160003 -0.49325001 -0.42500001 -0.35720000 -0.28895000 -0.22250000 -0.15560000 -9.17000026E-02 -2.88999993E-02 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 4.67999987E-02 0.11580000 0.18979999 0.26609999 0.34380001 0.42449999 0.50870001 0.59549999 0.68580002 0.78109998 0.87889999 0.97899997 1.0865000 1.1989000 1.3168000 1.4413000 1.5775000 1.7244000 1.8833499 2.0599999 2.2535000 2.4777000 2.7267499 3.0342000 3.4099998 3.8999000 4.6008501 5.7753000 8.3580999 78.829399 do regularised spline fit for input variable # 17 build map for variable # 17 ------------------------------ Transdef: Tab for variable 18 -120.61550 -26.543550 -16.559500 -11.238100 -8.1070004 -6.0731001 -4.6255999 -3.5512500 -2.7072999 -2.0172999 -1.4335001 -0.94739997 -0.52329999 -0.15369999 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.19780000 0.49579999 0.78490001 1.0604000 1.3292501 1.5958500 1.8530999 2.1020498 2.3432000 2.5764000 2.7997999 3.0021999 3.2073500 3.3998499 3.5846000 3.7579498 3.9249501 4.0871000 4.2456999 4.3962002 4.5413499 4.6782498 4.8097501 4.9354000 5.0598998 5.1824002 5.3028998 5.4189000 5.5300999 5.6420002 5.7501998 5.8586998 5.9633002 6.0665998 6.1697001 6.2704000 6.3688998 6.4664001 6.5634499 6.6612000 6.7589998 6.8538499 6.9516001 7.0489001 7.1441002 7.2440000 7.3428998 7.4440999 7.5439000 7.6458001 7.7491999 7.8534498 7.9617000 8.0726004 8.1878500 8.3058500 8.4280996 8.5536003 8.6840000 8.8239002 8.9699497 9.1241493 9.2858000 9.4670000 9.6613503 9.8748493 10.114800 10.399200 10.721600 11.114201 11.624200 12.362700 13.459650 15.174600 17.548700 21.188301 105.46610 do regularised spline fit for input variable # 18 build map for variable # 18 ------------------------------ Transdef: Tab for variable 19 -108.54280 -25.882099 -16.314150 -11.172400 -7.7307501 -5.2227001 -3.2182002 -1.5490000 -0.27950001 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.60115004 1.3302000 1.9888999 2.5210500 2.9557500 3.3131001 3.6148000 3.8727000 4.0969501 4.2972999 4.4828000 4.6494002 4.8024001 4.9454498 5.0798998 5.2104502 5.3350000 5.4537001 5.5665002 5.6774001 5.7839999 5.8875999 5.9872999 6.0854998 6.1833000 6.2770000 6.3677001 6.4572001 6.5462499 6.6352000 6.7220001 6.8081999 6.8927002 6.9779000 7.0622001 7.1433501 7.2298999 7.3140497 7.3962998 7.4805002 7.5643001 7.6483998 7.7333999 7.8182998 7.9032998 7.9930000 8.0827999 8.1732998 8.2664003 8.3583002 8.4523001 8.5493002 8.6474495 8.7512999 8.8558502 8.9641495 9.0746002 9.1906996 9.3097000 9.4401999 9.5697002 9.7109003 9.8554001 10.011450 10.178800 10.356800 10.549900 10.766100 11.003800 11.268300 11.568100 11.923349 12.343900 12.861851 13.510000 14.328400 15.339550 16.603802 18.178900 20.260201 23.456051 73.494202 do regularised spline fit for input variable # 19 build map for variable # 19 ------------------------------ Transdef: Tab for variable 20 -101.92670 -23.095749 -14.950700 -10.248450 -6.8500500 -4.0966001 -1.8659000 -0.26805001 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.74409997 1.5451500 2.2165000 2.7448502 3.1602001 3.4971001 3.7773499 4.0210500 4.2349000 4.4305000 4.6062999 4.7655001 4.9137497 5.0540500 5.1859503 5.3132000 5.4347000 5.5493002 5.6622000 5.7708998 5.8761001 5.9783001 6.0765500 6.1763000 6.2705002 6.3629999 6.4535999 6.5440001 6.6334000 6.7209001 6.8077998 6.8927498 6.9783001 7.0632000 7.1445999 7.2319999 7.3174000 7.4001002 7.4858999 7.5699000 7.6546998 7.7407999 7.8270998 7.9137001 8.0033998 8.0948000 8.1861000 8.2789001 8.3734999 8.4675999 8.5671501 8.6672001 8.7728004 8.8781004 8.9888000 9.1002998 9.2185001 9.3413000 9.4717999 9.6056004 9.7489996 9.8962002 10.055700 10.227600 10.410300 10.610950 10.833400 11.081249 11.361200 11.681900 12.066000 12.514299 13.071400 13.776100 14.620550 15.652600 16.855301 18.201450 19.800800 21.750301 24.229650 28.027300 49.999199 do regularised spline fit for input variable # 20 build map for variable # 20 ------------------------------ Transdef: Tab for variable 21 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 21 ------------------------------ Transdef: Tab for variable 22 -1.5698276 -0.63897610 -0.62506574 -0.62138510 -0.61883551 -0.60750651 -0.60750651 -0.60750651 -0.58125848 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.46140027 -0.37355232 -0.26047993 -0.19755149 -0.19755149 -0.19324017 -0.19324017 -0.19324017 -0.15976000 -0.15976000 -0.10151577 -9.30809975E-02 -8.66560936E-02 -8.20565224E-02 -7.13868141E-02 -7.13868141E-02 -5.93438148E-02 -2.68115997E-02 -2.88772583E-03 1.47328377E-02 1.48792267E-02 9.56082344E-02 0.12159824 0.13534212 0.14300680 0.20615196 0.30152416 0.37100029 0.41030312 0.51227760 0.57777882 0.75469494 1.0924029 1.2763481 1.5115242 2.2675354 3.0176537 4.7914839 do regularised spline fit for input variable # 22 build map for variable # 22 ------------------------------ Transdef: Tab for variable 23 0.47191012 0.82865167 0.84971911 0.86454433 0.87546819 0.88282502 0.88951313 0.89632279 0.90288925 0.90823972 0.91292137 0.91643256 0.92134833 0.92415732 0.92696631 0.93164796 0.93632960 0.93820226 0.94101125 0.94484168 0.94803369 0.95037454 0.95505619 0.95505619 0.95973784 0.96129841 0.96441948 0.96709472 0.96910113 0.97191012 0.97378278 0.97752810 0.97913325 0.98314607 0.98314607 0.98665732 0.98876405 0.99117178 0.99367976 0.99563044 0.99719101 1.0007023 1.0018727 1.0056180 1.0072231 1.0112360 1.0112360 1.0147471 1.0168539 1.0192616 1.0217696 1.0237204 1.0252810 1.0287921 1.0308989 1.0337079 1.0358146 1.0393258 1.0393258 1.0440075 1.0463483 1.0486891 1.0518103 1.0533708 1.0572013 1.0603932 1.0627341 1.0674157 1.0674157 1.0720974 1.0767790 1.0786517 1.0814607 1.0861423 1.0898876 1.0955056 1.0980593 1.1011236 1.1067415 1.1111112 1.1165730 1.1204745 1.1271068 1.1329588 1.1376405 1.1460674 1.1516854 1.1610487 1.1704119 1.1797752 1.1938202 1.2078651 1.2219101 1.2421973 1.2687266 1.3014982 1.3483146 1.4138577 1.5125067 1.7078651 4.9775281 do regularised spline fit for input variable # 23 build map for variable # 23 warning: map is empty for variable 23 TOTAL CORRELATION OF ALL VARIABLES 48.682636559981169 ROUND 1 : MAX CORR ( 48.682636509301538 ) AFTER KILLING INPUT VARIABLE 19 CONTR 2.22135909290415486E-003 ROUND 2 : MAX CORR ( 48.682532281313144 ) AFTER KILLING INPUT VARIABLE 18 CONTR 0.10073815405715666 ROUND 3 : MAX CORR ( 48.682425691483765 ) AFTER KILLING INPUT VARIABLE 15 CONTR 0.10187303008130481 ROUND 4 : MAX CORR ( 48.682206993726034 ) AFTER KILLING INPUT VARIABLE 5 CONTR 0.14592267421551300 ROUND 5 : MAX CORR ( 48.681063425307194 ) AFTER KILLING INPUT VARIABLE 3 CONTR 0.33367882942471100 ROUND 6 : MAX CORR ( 48.677885229601380 ) AFTER KILLING INPUT VARIABLE 20 CONTR 0.55626054375417922 ROUND 7 : MAX CORR ( 48.676783148373445 ) AFTER KILLING INPUT VARIABLE 13 CONTR 0.32755572422267243 ROUND 8 : MAX CORR ( 48.674602875387890 ) AFTER KILLING INPUT VARIABLE 22 CONTR 0.46070879854195912 ROUND 9 : MAX CORR ( 48.668690925999144 ) AFTER KILLING INPUT VARIABLE 6 CONTR 0.75860966661884266 ROUND 10 : MAX CORR ( 48.659472196186101 ) AFTER KILLING INPUT VARIABLE 14 CONTR 0.94722860969421740 ROUND 11 : MAX CORR ( 48.648182873807912 ) AFTER KILLING INPUT VARIABLE 21 CONTR 1.0481113910033772 ROUND 12 : MAX CORR ( 48.618315519681090 ) AFTER KILLING INPUT VARIABLE 17 CONTR 1.7044333228947626 ROUND 13 : MAX CORR ( 48.566488455616515 ) AFTER KILLING INPUT VARIABLE 11 CONTR 2.2442823043750550 ROUND 14 : MAX CORR ( 48.483175665905378 ) AFTER KILLING INPUT VARIABLE 8 CONTR 2.8434975397374469 ROUND 15 : MAX CORR ( 48.365873022250476 ) AFTER KILLING INPUT VARIABLE 9 CONTR 3.3705562518051839 ROUND 16 : MAX CORR ( 48.219501709865511 ) AFTER KILLING INPUT VARIABLE 10 CONTR 3.7599638371576352 ROUND 17 : MAX CORR ( 47.799386130580487 ) AFTER KILLING INPUT VARIABLE 2 CONTR 6.3513014955513647 ROUND 18 : MAX CORR ( 47.250130905308374 ) AFTER KILLING INPUT VARIABLE 12 CONTR 7.2254026802353843 ROUND 19 : MAX CORR ( 46.693465210298569 ) AFTER KILLING INPUT VARIABLE 4 CONTR 7.2315404460885517 ROUND 20 : MAX CORR ( 46.219883216567887 ) AFTER KILLING INPUT VARIABLE 7 CONTR 6.6334070274775971 ROUND 21 : MAX CORR ( 42.806059822793863 ) AFTER KILLING INPUT VARIABLE 23 CONTR 17.433268396963513 LAST REMAINING VARIABLE: 16 total correlation to target: 48.682636559981169 % total significance: 427.83147462402485 sigma correlations of single variables to target: variable 2 : 6.5323476026637959 % , in sigma: 57.407406522878070 variable 3 : 8.0799799939182151 % , in sigma: 71.008269066764498 variable 4 : 18.391731435630483 % , in sigma: 161.62973365873646 variable 5 : 4.3535903363207016 % , in sigma: 38.260108841929792 variable 6 : 3.4859488872977171 % , in sigma: 30.635124929584091 variable 7 : 5.0758861865443095 % , in sigma: 44.607770360533863 variable 8 : 5.9564708856622115 % , in sigma: 52.346501805179159 variable 9 : 7.8976602723354796 % , in sigma: 69.406011653247504 variable 10 : 3.1508200878124080 % , in sigma: 27.689954770278437 variable 11 : 4.4603639952017051 % , in sigma: 39.198454321098311 variable 12 : 9.9360216237683954 % , in sigma: 87.319485623082599 variable 13 : 5.7239697530449236 % , in sigma: 50.303241426361083 variable 14 : 10.795548186848825 % , in sigma: 94.873154506815752 variable 15 : 10.058150414657673 % , in sigma: 88.392774672163398 variable 16 : 42.806059822793841 % , in sigma: 376.18709648697791 variable 17 : 12.685296191967646 % , in sigma: 111.48058854958090 variable 18 : 13.426701859416401 % , in sigma: 117.99619046461680 variable 19 : 13.659182475037678 % , in sigma: 120.03927053650662 variable 20 : 13.772839557629563 % , in sigma: 121.03810874007924 variable 21 : 0.90376792037894260 % , in sigma: 7.9424696239944339 variable 22 : 9.2458611108931752 % , in sigma: 81.254235036523298 variable 23 : 24.895990915681782 % , in sigma: 218.79029687636506 variables sorted by significance: 1 most relevant variable 16 corr 42.806061 , in sigma: 376.18710499587928 2 most relevant variable 23 corr 17.433268 , in sigma: 153.20658676329293 3 most relevant variable 7 corr 6.6334071 , in sigma: 58.295535096910456 4 most relevant variable 4 corr 7.2315407 , in sigma: 63.552036855827474 5 most relevant variable 12 corr 7.2254028 , in sigma: 63.498096381280519 6 most relevant variable 2 corr 6.3513017 , in sigma: 55.816343388511015 7 most relevant variable 10 corr 3.7599638 , in sigma: 33.043215193829077 8 most relevant variable 9 corr 3.3705564 , in sigma: 29.621035288056390 9 most relevant variable 8 corr 2.8434975 , in sigma: 24.989150563272251 10 most relevant variable 11 corr 2.2442822 , in sigma: 19.723142591916623 11 most relevant variable 17 corr 1.7044333 , in sigma: 14.978856386115218 12 most relevant variable 21 corr 1.0481114 , in sigma: 9.2109855607092559 13 most relevant variable 14 corr 0.94722861 , in sigma: 8.3244097255013099 14 most relevant variable 6 corr 0.75860965 , in sigma: 6.6667935271220884 15 most relevant variable 22 corr 0.46070880 , in sigma: 4.0487890120845398 16 most relevant variable 13 corr 0.32755572 , in sigma: 2.8786165852232806 17 most relevant variable 20 corr 0.55626053 , in sigma: 4.8885142220598707 18 most relevant variable 3 corr 0.33367884 , in sigma: 2.9324276772227140 19 most relevant variable 5 corr 0.14592268 , in sigma: 1.2823938461347617 20 most relevant variable 15 corr 0.10187303 , in sigma: 0.89527792463741629 21 most relevant variable 18 corr 0.10073815 , in sigma: 0.88530440286600109 22 most relevant variable 19 corr 2.22135917E-03 , in sigma: 1.95216906424752305E-002 global correlations between input variables: variable 2 : 36.705542961789654 % variable 3 : 87.784279999287264 % variable 4 : 81.591344806075512 % variable 5 : 74.587791595650572 % variable 6 : 61.109619844414844 % variable 7 : 61.912617414820737 % variable 8 : 64.069574741189456 % variable 9 : 20.657367656473369 % variable 10 : 70.262597443426188 % variable 11 : 68.134874094402733 % variable 12 : 90.325203806044215 % variable 13 : 94.554316980319953 % variable 14 : 97.367013785227769 % variable 15 : 81.116989842050231 % variable 16 : 40.223829716515816 % variable 17 : 84.500535999677396 % variable 18 : 94.289123000395520 % variable 19 : 98.010211796088370 % variable 20 : 97.878432718448053 % variable 21 : 55.418315809307863 % variable 22 : 63.676245602369463 % variable 23 : 24.677338036057726 % significance loss when removing single variables: variable 2 : corr = 4.9458388304505023 % , sigma = 43.464891583620904 variable 3 : corr = 0.20969993300914433 % , sigma = 1.8428794721773827 variable 4 : corr = 7.5209753368127323 % , sigma = 66.095638945007011 variable 5 : corr = 0.14394873979107245 % , sigma = 1.2650465539023465 variable 6 : corr = 0.75718296675912256 % , sigma = 6.6542555646019581 variable 7 : corr = 5.9755916660651289 % , sigma = 52.514538547923429 variable 8 : corr = 2.7486587536880598 % , sigma = 24.155691041501221 variable 9 : corr = 3.1941152787522906 % , sigma = 28.070440436068473 variable 10 : corr = 3.1939089564236669 % , sigma = 28.068627239570901 variable 11 : corr = 1.5298578063096206 % , sigma = 13.444656400893461 variable 12 : corr = 3.2594260612618164 % , sigma = 28.644402948461828 variable 13 : corr = 0.47284819924914229 % , sigma = 4.1554721899424081 variable 14 : corr = 0.86913382678149609 % , sigma = 7.6380991875698259 variable 15 : corr = 0.10178703083392583 % , sigma = 0.89452212485708527 variable 16 : corr = 35.493721866500735 % , sigma = 311.92499911812257 variable 17 : corr = 1.8675837657222905 % , sigma = 16.412650853213485 variable 18 : corr = 9.55377075029200801E-002 % , sigma = 0.83960198484346171 variable 19 : corr = 2.22135908690662080E-003 % , sigma = 1.95216898873133808E-002 variable 20 : corr = 0.26604688769206192 % , sigma = 2.3380663070741297 variable 21 : corr = 1.0980002828411468 % , sigma = 9.6494173968318435 variable 22 : corr = 0.64968911462496504 % , sigma = 5.7095809019034647 variable 23 : corr = 17.548133363969235 % , sigma = 154.21604712710965 Keep only 17 most significant input variables Sum of Weights for output node 2 772320.00000000000 FLAT2DEF: TAB(KK=1, II= 2 ) = -1.8963345 NVar: 18.000000 2899 --------- Entering internal boost mode: --------- Starting analysis with 30 variables. PREPRO: (sigma of derived input)/eigenvalue # 1 : 2.9999435 PREPRO: (sigma of derived input)/eigenvalue # 2 : 1.7212150 PREPRO: (sigma of derived input)/eigenvalue # 3 : 1.6316519 PREPRO: (sigma of derived input)/eigenvalue # 4 : 1.5304415 PREPRO: (sigma of derived input)/eigenvalue # 5 : 1.4850553 PREPRO: (sigma of derived input)/eigenvalue # 6 : 1.3652587 PREPRO: (sigma of derived input)/eigenvalue # 7 : 1.1894025 PREPRO: (sigma of derived input)/eigenvalue # 8 : 1.0645527 PREPRO: (sigma of derived input)/eigenvalue # 9 : 0.99900311 PREPRO: (sigma of derived input)/eigenvalue # 10 : 0.97907692 PREPRO: (sigma of derived input)/eigenvalue # 11 : 0.95570582 PREPRO: (sigma of derived input)/eigenvalue # 12 : 0.83261609 PREPRO: (sigma of derived input)/eigenvalue # 13 : 0.76565492 PREPRO: (sigma of derived input)/eigenvalue # 14 : 0.71534359 PREPRO: (sigma of derived input)/eigenvalue # 15 : 0.63392544 PREPRO: (sigma of derived input)/eigenvalue # 16 : 0.57916945 PREPRO: (sigma of derived input)/eigenvalue # 17 : 0.52179354 PREPRO: (sigma of derived input)/eigenvalue # 18 : 0.42845455 PREPRO: (sigma of derived input)/eigenvalue # 19 : 0.40068063 PREPRO: (sigma of derived input)/eigenvalue # 20 : 0.36612472 PREPRO: (sigma of derived input)/eigenvalue # 21 : 0.34642175 PREPRO: (sigma of derived input)/eigenvalue # 22 : 0.30142796 PREPRO: (sigma of derived input)/eigenvalue # 23 : 0.20282455 PREPRO: (sigma of derived input)/eigenvalue # 24 : 0.12265824 PREPRO: (sigma of derived input)/eigenvalue # 25 : 3.08008050E-04 PREPRO: (sigma of derived input)/eigenvalue # 26 : 1.56717768E-04 PREPRO: (sigma of derived input)/eigenvalue # 27 : 4.69212793E-08 PREPRO: (sigma of derived input)/eigenvalue # 28 : 1.28180830E-07 PREPRO: (sigma of derived input)/eigenvalue # 29 : 1.88592530E-04 PREPRO: (sigma of derived input)/eigenvalue # 30 : 4.50634834E-04 Using 24 variables out of 30 for boost net! VARIABLES BEFORE BOOST COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 21.0 22.0 23.0 24.0 25.0 0 0.4 3.0 1.7 1.6 1.5 1.5 1.4 1.2 1.1 1.0 1.0 1.0 0.8 0.8 0.7 0.6 0.6 0.5 0.4 0.4 0.4 0.3 0.3 0.2 0.1 1 100.0 11.3 -11.5 4.6 -10.6 9.2 25.8 17.9 -1.6 -0.3 -1.5 3.4 8.3 1.4 9.2 6.4 3.2 3.6 2.0 -3.6 -2.5 -1.6 1.4 1.8 9.4 2 11.3 100.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 3 -11.5 -0.0 100.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 4 4.6 0.0 0.0 100.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 0.0 5 -10.6 0.0 -0.0 0.0 100.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 6 9.2 -0.0 -0.0 0.0 -0.0 100.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 7 25.8 -0.0 -0.0 -0.0 0.0 -0.0 100.0 0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 8 17.9 0.0 0.0 -0.0 -0.0 0.0 0.0 100.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 9 -1.6 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 100.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 10 -0.3 0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 0.0 100.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 -0.0 11 -1.5 -0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 100.0 0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 12 3.4 0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 0.0 100.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 13 8.3 0.0 0.0 0.0 -0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 100.0 -0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.0 0.0 0.0 0.0 14 1.4 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 100.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 0.0 15 9.2 0.0 -0.0 0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 -0.0 16 6.4 -0.0 0.0 -0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 100.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 17 3.2 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 100.0 -0.0 0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 18 3.6 -0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 100.0 0.0 0.0 -0.0 0.0 0.0 0.0 0.0 19 2.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.0 0.0 0.0 100.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 20 -3.6 -0.0 -0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 100.0 0.0 -0.0 0.0 0.0 0.0 21 -2.5 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 100.0 0.0 0.0 -0.0 -0.0 22 -1.6 0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 100.0 0.0 0.0 0.0 23 1.4 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 0.0 0.0 0.0 100.0 0.0 -0.0 24 1.8 -0.0 0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 0.0 100.0 -0.0 25 9.4 0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 42.593249757871682 ------------------------------------- Teacher: actual network topology: Nodes(1) = 25 Nodes(2) = 26 Nodes(3) = 1 ------------------------------------- NBPRESET: start with small weights from bias node for IFIXSHAPE > 0 trainings --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 239.12750 sigma out 26 active outputs RANK 2 NODE 7 --> 114.88125 sigma out 26 active outputs RANK 3 NODE 2 --> 96.684624 sigma out 26 active outputs RANK 4 NODE 8 --> 95.305939 sigma out 26 active outputs RANK 5 NODE 5 --> 80.122757 sigma out 26 active outputs RANK 6 NODE 9 --> 59.074684 sigma out 26 active outputs RANK 7 NODE 4 --> 58.835735 sigma out 26 active outputs RANK 8 NODE 3 --> 55.829659 sigma out 26 active outputs RANK 9 NODE 6 --> 53.523750 sigma out 26 active outputs RANK 10 NODE 18 --> 48.122684 sigma out 26 active outputs RANK 11 NODE 13 --> 47.274933 sigma out 26 active outputs RANK 12 NODE 16 --> 45.568974 sigma out 26 active outputs RANK 13 NODE 11 --> 43.673367 sigma out 26 active outputs RANK 14 NODE 17 --> 43.664032 sigma out 26 active outputs RANK 15 NODE 12 --> 43.303715 sigma out 26 active outputs RANK 16 NODE 22 --> 41.881695 sigma out 26 active outputs RANK 17 NODE 15 --> 39.306824 sigma out 26 active outputs RANK 18 NODE 10 --> 39.269016 sigma out 26 active outputs RANK 19 NODE 23 --> 38.676083 sigma out 26 active outputs RANK 20 NODE 21 --> 38.188126 sigma out 26 active outputs RANK 21 NODE 25 --> 36.457096 sigma out 26 active outputs RANK 22 NODE 19 --> 35.679272 sigma out 26 active outputs RANK 23 NODE 20 --> 33.834354 sigma out 26 active outputs RANK 24 NODE 24 --> 29.331903 sigma out 26 active outputs RANK 25 NODE 14 --> 29.198305 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 19 --> 204.00732 sigma in 25 act. ( 207.35074 sig out 1 act.) RANK 2 NODE 24 --> 122.93752 sigma in 25 act. ( 188.26389 sig out 1 act.) RANK 3 NODE 21 --> 109.51598 sigma in 25 act. ( 130.33112 sig out 1 act.) RANK 4 NODE 8 --> 103.73209 sigma in 25 act. ( 164.31754 sig out 1 act.) RANK 5 NODE 20 --> 75.476181 sigma in 25 act. ( 104.10945 sig out 1 act.) RANK 6 NODE 25 --> 68.266075 sigma in 25 act. ( 88.323540 sig out 1 act.) RANK 7 NODE 13 --> 64.995201 sigma in 25 act. ( 98.354713 sig out 1 act.) RANK 8 NODE 9 --> 62.719444 sigma in 25 act. ( 74.986671 sig out 1 act.) RANK 9 NODE 6 --> 61.509064 sigma in 25 act. ( 76.924232 sig out 1 act.) RANK 10 NODE 15 --> 60.939991 sigma in 25 act. ( 69.655273 sig out 1 act.) RANK 11 NODE 7 --> 60.204418 sigma in 25 act. ( 74.444717 sig out 1 act.) RANK 12 NODE 26 --> 56.345726 sigma in 25 act. ( 74.688896 sig out 1 act.) RANK 13 NODE 18 --> 50.468136 sigma in 25 act. ( 63.336800 sig out 1 act.) RANK 14 NODE 23 --> 50.278809 sigma in 25 act. ( 94.228378 sig out 1 act.) RANK 15 NODE 22 --> 47.714249 sigma in 25 act. ( 37.598244 sig out 1 act.) RANK 16 NODE 5 --> 45.384747 sigma in 25 act. ( 57.835861 sig out 1 act.) RANK 17 NODE 12 --> 42.611279 sigma in 25 act. ( 50.573586 sig out 1 act.) RANK 18 NODE 17 --> 41.339050 sigma in 25 act. ( 25.280571 sig out 1 act.) RANK 19 NODE 11 --> 35.514381 sigma in 25 act. ( 0.24162737 sig out 1 act.) RANK 20 NODE 14 --> 34.341843 sigma in 25 act. ( 36.661430 sig out 1 act.) RANK 21 NODE 2 --> 33.871712 sigma in 25 act. ( 32.704689 sig out 1 act.) RANK 22 NODE 4 --> 33.291721 sigma in 25 act. ( 10.937235 sig out 1 act.) RANK 23 NODE 10 --> 32.733273 sigma in 25 act. ( 9.0113878 sig out 1 act.) RANK 24 NODE 16 --> 32.208961 sigma in 25 act. ( 6.6739626 sig out 1 act.) RANK 25 NODE 3 --> 30.036236 sigma in 25 act. ( 14.820957 sig out 1 act.) RANK 26 NODE 1 --> 28.170433 sigma in 25 act. ( 19.552937 sig out 1 act.) sorted by output significance RANK 1 NODE 19 --> 207.35074 sigma out 1 act.( 204.00732 sig in 25 act.) RANK 2 NODE 24 --> 188.26389 sigma out 1 act.( 122.93752 sig in 25 act.) RANK 3 NODE 8 --> 164.31754 sigma out 1 act.( 103.73209 sig in 25 act.) RANK 4 NODE 21 --> 130.33112 sigma out 1 act.( 109.51598 sig in 25 act.) RANK 5 NODE 20 --> 104.10945 sigma out 1 act.( 75.476181 sig in 25 act.) RANK 6 NODE 13 --> 98.354713 sigma out 1 act.( 64.995201 sig in 25 act.) RANK 7 NODE 23 --> 94.228378 sigma out 1 act.( 50.278809 sig in 25 act.) RANK 8 NODE 25 --> 88.323540 sigma out 1 act.( 68.266075 sig in 25 act.) RANK 9 NODE 6 --> 76.924232 sigma out 1 act.( 61.509064 sig in 25 act.) RANK 10 NODE 9 --> 74.986671 sigma out 1 act.( 62.719444 sig in 25 act.) RANK 11 NODE 26 --> 74.688896 sigma out 1 act.( 56.345726 sig in 25 act.) RANK 12 NODE 7 --> 74.444717 sigma out 1 act.( 60.204418 sig in 25 act.) RANK 13 NODE 15 --> 69.655273 sigma out 1 act.( 60.939991 sig in 25 act.) RANK 14 NODE 18 --> 63.336800 sigma out 1 act.( 50.468136 sig in 25 act.) RANK 15 NODE 5 --> 57.835861 sigma out 1 act.( 45.384747 sig in 25 act.) RANK 16 NODE 12 --> 50.573586 sigma out 1 act.( 42.611279 sig in 25 act.) RANK 17 NODE 22 --> 37.598244 sigma out 1 act.( 47.714249 sig in 25 act.) RANK 18 NODE 14 --> 36.661430 sigma out 1 act.( 34.341843 sig in 25 act.) RANK 19 NODE 2 --> 32.704689 sigma out 1 act.( 33.871712 sig in 25 act.) RANK 20 NODE 17 --> 25.280571 sigma out 1 act.( 41.339050 sig in 25 act.) RANK 21 NODE 1 --> 19.552937 sigma out 1 act.( 28.170433 sig in 25 act.) RANK 22 NODE 3 --> 14.820957 sigma out 1 act.( 30.036236 sig in 25 act.) RANK 23 NODE 4 --> 10.937235 sigma out 1 act.( 33.291721 sig in 25 act.) RANK 24 NODE 10 --> 9.0113878 sigma out 1 act.( 32.733273 sig in 25 act.) RANK 25 NODE 16 --> 6.6739626 sigma out 1 act.( 32.208961 sig in 25 act.) RANK 26 NODE 11 --> 0.24162737 sigma out 1 act.( 35.514381 sig in 25 act.) RANK 1 NODE 1 --> 449.84131 sigma in 26 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 275.12830 sigma out 26 active outputs RANK 2 NODE 7 --> 134.90326 sigma out 26 active outputs RANK 3 NODE 2 --> 106.10480 sigma out 26 active outputs RANK 4 NODE 8 --> 101.85487 sigma out 26 active outputs RANK 5 NODE 5 --> 84.613503 sigma out 26 active outputs RANK 6 NODE 4 --> 56.785961 sigma out 26 active outputs RANK 7 NODE 3 --> 56.672504 sigma out 26 active outputs RANK 8 NODE 9 --> 55.556664 sigma out 26 active outputs RANK 9 NODE 6 --> 52.522198 sigma out 26 active outputs RANK 10 NODE 12 --> 45.510136 sigma out 26 active outputs RANK 11 NODE 13 --> 41.148788 sigma out 26 active outputs RANK 12 NODE 11 --> 39.021374 sigma out 26 active outputs RANK 13 NODE 17 --> 34.977085 sigma out 26 active outputs RANK 14 NODE 18 --> 34.136868 sigma out 26 active outputs RANK 15 NODE 10 --> 32.974800 sigma out 26 active outputs RANK 16 NODE 15 --> 29.173035 sigma out 26 active outputs RANK 17 NODE 16 --> 26.753635 sigma out 26 active outputs RANK 18 NODE 14 --> 25.670918 sigma out 26 active outputs RANK 19 NODE 21 --> 22.681385 sigma out 26 active outputs RANK 20 NODE 20 --> 19.375183 sigma out 26 active outputs RANK 21 NODE 19 --> 18.815163 sigma out 26 active outputs RANK 22 NODE 22 --> 17.485201 sigma out 26 active outputs RANK 23 NODE 23 --> 16.612709 sigma out 26 active outputs RANK 24 NODE 25 --> 6.4698510 sigma out 26 active outputs RANK 25 NODE 24 --> 4.9495974 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 19 --> 238.45012 sigma in 25 act. ( 137.75990 sig out 1 act.) RANK 2 NODE 24 --> 143.17595 sigma in 25 act. ( 114.52301 sig out 1 act.) RANK 3 NODE 21 --> 119.80000 sigma in 25 act. ( 99.671196 sig out 1 act.) RANK 4 NODE 8 --> 108.75659 sigma in 25 act. ( 141.77583 sig out 1 act.) RANK 5 NODE 20 --> 83.236916 sigma in 25 act. ( 67.439384 sig out 1 act.) RANK 6 NODE 6 --> 68.904449 sigma in 25 act. ( 45.564335 sig out 1 act.) RANK 7 NODE 13 --> 68.236328 sigma in 25 act. ( 70.037186 sig out 1 act.) RANK 8 NODE 25 --> 65.500648 sigma in 25 act. ( 58.796619 sig out 1 act.) RANK 9 NODE 26 --> 59.975342 sigma in 25 act. ( 50.188282 sig out 1 act.) RANK 10 NODE 9 --> 59.037029 sigma in 25 act. ( 52.185768 sig out 1 act.) RANK 11 NODE 15 --> 57.578300 sigma in 25 act. ( 40.838081 sig out 1 act.) RANK 12 NODE 7 --> 55.429485 sigma in 25 act. ( 48.124565 sig out 1 act.) RANK 13 NODE 23 --> 53.512783 sigma in 25 act. ( 60.067284 sig out 1 act.) RANK 14 NODE 18 --> 47.251579 sigma in 25 act. ( 41.491722 sig out 1 act.) RANK 15 NODE 5 --> 36.002151 sigma in 25 act. ( 39.715145 sig out 1 act.) RANK 16 NODE 12 --> 35.302738 sigma in 25 act. ( 33.044216 sig out 1 act.) RANK 17 NODE 22 --> 25.787775 sigma in 25 act. ( 25.776499 sig out 1 act.) RANK 18 NODE 2 --> 23.849689 sigma in 25 act. ( 20.106819 sig out 1 act.) RANK 19 NODE 14 --> 21.725203 sigma in 25 act. ( 26.216311 sig out 1 act.) RANK 20 NODE 17 --> 18.189112 sigma in 25 act. ( 18.140509 sig out 1 act.) RANK 21 NODE 1 --> 12.394382 sigma in 25 act. ( 14.645988 sig out 1 act.) RANK 22 NODE 3 --> 11.252371 sigma in 25 act. ( 10.022739 sig out 1 act.) RANK 23 NODE 4 --> 9.6820316 sigma in 25 act. ( 7.0995045 sig out 1 act.) RANK 24 NODE 10 --> 8.1340256 sigma in 25 act. ( 6.6120372 sig out 1 act.) RANK 25 NODE 11 --> 7.4469728 sigma in 25 act. ( 0.20124951 sig out 1 act.) RANK 26 NODE 16 --> 6.8750858 sigma in 25 act. ( 4.3218341 sig out 1 act.) sorted by output significance RANK 1 NODE 8 --> 141.77583 sigma out 1 act.( 108.75659 sig in 25 act.) RANK 2 NODE 19 --> 137.75990 sigma out 1 act.( 238.45012 sig in 25 act.) RANK 3 NODE 24 --> 114.52301 sigma out 1 act.( 143.17595 sig in 25 act.) RANK 4 NODE 21 --> 99.671196 sigma out 1 act.( 119.80000 sig in 25 act.) RANK 5 NODE 13 --> 70.037186 sigma out 1 act.( 68.236328 sig in 25 act.) RANK 6 NODE 20 --> 67.439384 sigma out 1 act.( 83.236916 sig in 25 act.) RANK 7 NODE 23 --> 60.067284 sigma out 1 act.( 53.512783 sig in 25 act.) RANK 8 NODE 25 --> 58.796619 sigma out 1 act.( 65.500648 sig in 25 act.) RANK 9 NODE 9 --> 52.185768 sigma out 1 act.( 59.037029 sig in 25 act.) RANK 10 NODE 26 --> 50.188282 sigma out 1 act.( 59.975342 sig in 25 act.) RANK 11 NODE 7 --> 48.124565 sigma out 1 act.( 55.429485 sig in 25 act.) RANK 12 NODE 6 --> 45.564335 sigma out 1 act.( 68.904449 sig in 25 act.) RANK 13 NODE 18 --> 41.491722 sigma out 1 act.( 47.251579 sig in 25 act.) RANK 14 NODE 15 --> 40.838081 sigma out 1 act.( 57.578300 sig in 25 act.) RANK 15 NODE 5 --> 39.715145 sigma out 1 act.( 36.002151 sig in 25 act.) RANK 16 NODE 12 --> 33.044216 sigma out 1 act.( 35.302738 sig in 25 act.) RANK 17 NODE 14 --> 26.216311 sigma out 1 act.( 21.725203 sig in 25 act.) RANK 18 NODE 22 --> 25.776499 sigma out 1 act.( 25.787775 sig in 25 act.) RANK 19 NODE 2 --> 20.106819 sigma out 1 act.( 23.849689 sig in 25 act.) RANK 20 NODE 17 --> 18.140509 sigma out 1 act.( 18.189112 sig in 25 act.) RANK 21 NODE 1 --> 14.645988 sigma out 1 act.( 12.394382 sig in 25 act.) RANK 22 NODE 3 --> 10.022739 sigma out 1 act.( 11.252371 sig in 25 act.) RANK 23 NODE 4 --> 7.0995045 sigma out 1 act.( 9.6820316 sig in 25 act.) RANK 24 NODE 10 --> 6.6120372 sigma out 1 act.( 8.1340256 sig in 25 act.) RANK 25 NODE 16 --> 4.3218341 sigma out 1 act.( 6.8750858 sig in 25 act.) RANK 26 NODE 11 --> 0.20124951 sigma out 1 act.( 7.4469728 sig in 25 act.) RANK 1 NODE 1 --> 311.21078 sigma in 26 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.49562216 *** contribution from regularisation: 7.44216610E-04 *** contribution from error: -0.49636638 *** contribution from DIAG: 2.14559714E-05 *********************************************** --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.56554282 *** contribution from regularisation: 1.43926905E-03 *** contribution from error: -0.56698209 *** contribution from DIAG: 6.82857062E-05 *********************************************** --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.56732976 *** contribution from regularisation: 1.19280617E-03 *** contribution from error: -0.56852257 *** contribution from DIAG: 7.62320487E-05 *********************************************** --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.36170632 *** contribution from regularisation: 1.31742167E-03 *** contribution from error: -0.36302373 *** contribution from DIAG: 4.40040929E-03 *********************************************** --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.56204426 *** contribution from regularisation: 1.31600746E-03 *** contribution from error: -0.56336027 *** contribution from DIAG: 1.39830692E-04 *********************************************** --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.56797457 *** contribution from regularisation: 1.30556629E-03 *** contribution from error: -0.56928015 *** contribution from DIAG: 8.79837607E-05 *********************************************** --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.56902158 *** contribution from regularisation: 1.31067983E-03 *** contribution from error: -0.57033229 *** contribution from DIAG: 1.00611665E-04 *********************************************** --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.57124418 *** contribution from regularisation: 1.32222928E-03 *** contribution from error: -0.57256639 *** contribution from DIAG: 1.10664769E-04 *********************************************** --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.57211637 *** contribution from regularisation: 1.34120602E-03 *** contribution from error: -0.57345760 *** contribution from DIAG: 1.62048891E-04 *********************************************** --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 366.21167 sigma out 26 active outputs RANK 2 NODE 7 --> 187.71837 sigma out 26 active outputs RANK 3 NODE 2 --> 130.75504 sigma out 26 active outputs RANK 4 NODE 8 --> 124.09801 sigma out 26 active outputs RANK 5 NODE 5 --> 97.470169 sigma out 26 active outputs RANK 6 NODE 3 --> 74.050919 sigma out 26 active outputs RANK 7 NODE 4 --> 70.751877 sigma out 26 active outputs RANK 8 NODE 6 --> 65.031898 sigma out 26 active outputs RANK 9 NODE 9 --> 62.749874 sigma out 26 active outputs RANK 10 NODE 12 --> 57.329899 sigma out 26 active outputs RANK 11 NODE 13 --> 49.295250 sigma out 26 active outputs RANK 12 NODE 18 --> 45.163570 sigma out 26 active outputs RANK 13 NODE 11 --> 44.598591 sigma out 26 active outputs RANK 14 NODE 17 --> 40.007313 sigma out 26 active outputs RANK 15 NODE 10 --> 39.154709 sigma out 26 active outputs RANK 16 NODE 15 --> 36.854706 sigma out 26 active outputs RANK 17 NODE 16 --> 32.706280 sigma out 26 active outputs RANK 18 NODE 14 --> 29.535522 sigma out 26 active outputs RANK 19 NODE 21 --> 28.055283 sigma out 26 active outputs RANK 20 NODE 20 --> 23.863741 sigma out 26 active outputs RANK 21 NODE 19 --> 22.619122 sigma out 26 active outputs RANK 22 NODE 22 --> 21.229155 sigma out 26 active outputs RANK 23 NODE 23 --> 20.525005 sigma out 26 active outputs RANK 24 NODE 25 --> 12.949788 sigma out 26 active outputs RANK 25 NODE 24 --> 8.2482862 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 19 --> 321.88364 sigma in 25 act. ( 154.33279 sig out 1 act.) RANK 2 NODE 24 --> 190.92130 sigma in 25 act. ( 121.66504 sig out 1 act.) RANK 3 NODE 21 --> 153.17842 sigma in 25 act. ( 116.79906 sig out 1 act.) RANK 4 NODE 8 --> 133.71886 sigma in 25 act. ( 165.11617 sig out 1 act.) RANK 5 NODE 20 --> 101.07213 sigma in 25 act. ( 72.769608 sig out 1 act.) RANK 6 NODE 6 --> 92.536667 sigma in 25 act. ( 53.551632 sig out 1 act.) RANK 7 NODE 13 --> 83.898643 sigma in 25 act. ( 76.827858 sig out 1 act.) RANK 8 NODE 26 --> 78.723946 sigma in 25 act. ( 63.111473 sig out 1 act.) RANK 9 NODE 25 --> 75.878212 sigma in 25 act. ( 63.388611 sig out 1 act.) RANK 10 NODE 9 --> 69.275818 sigma in 25 act. ( 60.044094 sig out 1 act.) RANK 11 NODE 15 --> 68.467949 sigma in 25 act. ( 46.529198 sig out 1 act.) RANK 12 NODE 7 --> 66.429619 sigma in 25 act. ( 53.830696 sig out 1 act.) RANK 13 NODE 23 --> 66.250801 sigma in 25 act. ( 67.937248 sig out 1 act.) RANK 14 NODE 18 --> 59.556965 sigma in 25 act. ( 49.403168 sig out 1 act.) RANK 15 NODE 5 --> 45.336811 sigma in 25 act. ( 49.536343 sig out 1 act.) RANK 16 NODE 12 --> 42.700195 sigma in 25 act. ( 38.254932 sig out 1 act.) RANK 17 NODE 2 --> 30.999586 sigma in 25 act. ( 24.622372 sig out 1 act.) RANK 18 NODE 22 --> 30.861565 sigma in 25 act. ( 29.949280 sig out 1 act.) RANK 19 NODE 14 --> 28.388603 sigma in 25 act. ( 32.195202 sig out 1 act.) RANK 20 NODE 17 --> 22.998838 sigma in 25 act. ( 21.531015 sig out 1 act.) RANK 21 NODE 1 --> 15.093066 sigma in 25 act. ( 16.951927 sig out 1 act.) RANK 22 NODE 3 --> 15.005336 sigma in 25 act. ( 12.908923 sig out 1 act.) RANK 23 NODE 4 --> 14.893180 sigma in 25 act. ( 11.047169 sig out 1 act.) RANK 24 NODE 10 --> 11.847665 sigma in 25 act. ( 9.5749121 sig out 1 act.) RANK 25 NODE 11 --> 10.285318 sigma in 25 act. ( 3.5610709 sig out 1 act.) RANK 26 NODE 16 --> 9.8658829 sigma in 25 act. ( 5.6179199 sig out 1 act.) sorted by output significance RANK 1 NODE 8 --> 165.11617 sigma out 1 act.( 133.71886 sig in 25 act.) RANK 2 NODE 19 --> 154.33279 sigma out 1 act.( 321.88364 sig in 25 act.) RANK 3 NODE 24 --> 121.66504 sigma out 1 act.( 190.92130 sig in 25 act.) RANK 4 NODE 21 --> 116.79906 sigma out 1 act.( 153.17842 sig in 25 act.) RANK 5 NODE 13 --> 76.827858 sigma out 1 act.( 83.898643 sig in 25 act.) RANK 6 NODE 20 --> 72.769608 sigma out 1 act.( 101.07213 sig in 25 act.) RANK 7 NODE 23 --> 67.937248 sigma out 1 act.( 66.250801 sig in 25 act.) RANK 8 NODE 25 --> 63.388611 sigma out 1 act.( 75.878212 sig in 25 act.) RANK 9 NODE 26 --> 63.111473 sigma out 1 act.( 78.723946 sig in 25 act.) RANK 10 NODE 9 --> 60.044094 sigma out 1 act.( 69.275818 sig in 25 act.) RANK 11 NODE 7 --> 53.830696 sigma out 1 act.( 66.429619 sig in 25 act.) RANK 12 NODE 6 --> 53.551632 sigma out 1 act.( 92.536667 sig in 25 act.) RANK 13 NODE 5 --> 49.536343 sigma out 1 act.( 45.336811 sig in 25 act.) RANK 14 NODE 18 --> 49.403168 sigma out 1 act.( 59.556965 sig in 25 act.) RANK 15 NODE 15 --> 46.529198 sigma out 1 act.( 68.467949 sig in 25 act.) RANK 16 NODE 12 --> 38.254932 sigma out 1 act.( 42.700195 sig in 25 act.) RANK 17 NODE 14 --> 32.195202 sigma out 1 act.( 28.388603 sig in 25 act.) RANK 18 NODE 22 --> 29.949280 sigma out 1 act.( 30.861565 sig in 25 act.) RANK 19 NODE 2 --> 24.622372 sigma out 1 act.( 30.999586 sig in 25 act.) RANK 20 NODE 17 --> 21.531015 sigma out 1 act.( 22.998838 sig in 25 act.) RANK 21 NODE 1 --> 16.951927 sigma out 1 act.( 15.093066 sig in 25 act.) RANK 22 NODE 3 --> 12.908923 sigma out 1 act.( 15.005336 sig in 25 act.) RANK 23 NODE 4 --> 11.047169 sigma out 1 act.( 14.893180 sig in 25 act.) RANK 24 NODE 10 --> 9.5749121 sigma out 1 act.( 11.847665 sig in 25 act.) RANK 25 NODE 16 --> 5.6179199 sigma out 1 act.( 9.8658829 sig in 25 act.) RANK 26 NODE 11 --> 3.5610709 sigma out 1 act.( 10.285318 sig in 25 act.) RANK 1 NODE 1 --> 353.48264 sigma in 26 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.57205021 *** contribution from regularisation: 1.36200862E-03 *** contribution from error: -0.57341224 *** contribution from DIAG: 2.26075164E-04 *********************************************** --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.57235825 *** contribution from regularisation: 1.36920507E-03 *** contribution from error: -0.57372743 *** contribution from DIAG: 1.76595699E-04 *********************************************** --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.57264239 *** contribution from regularisation: 1.35774643E-03 *** contribution from error: -0.57400012 *** contribution from DIAG: 1.96272551E-04 *********************************************** --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.57282114 *** contribution from regularisation: 1.36485964E-03 *** contribution from error: -0.57418603 *** contribution from DIAG: 2.04759795E-04 *********************************************** --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.57317489 *** contribution from regularisation: 1.36745651E-03 *** contribution from error: -0.57454234 *** contribution from DIAG: 2.03095711E-04 *********************************************** --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.57381552 *** contribution from regularisation: 1.37942645E-03 *** contribution from error: -0.57519495 *** contribution from DIAG: 1.97128873E-04 *********************************************** --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.57477438 *** contribution from regularisation: 1.40698347E-03 *** contribution from error: -0.57618135 *** contribution from DIAG: 1.66445214E-04 *********************************************** --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.57547474 *** contribution from regularisation: 1.43701222E-03 *** contribution from error: -0.57691175 *** contribution from DIAG: 1.68666360E-04 *********************************************** --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.57615322 *** contribution from regularisation: 1.38989754E-03 *** contribution from error: -0.57754314 *** contribution from DIAG: 1.32588000E-04 *********************************************** --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.57656360 *** contribution from regularisation: 1.37938804E-03 *** contribution from error: -0.57794297 *** contribution from DIAG: 1.56327427E-04 *********************************************** --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 338.69745 sigma out 26 active outputs RANK 2 NODE 2 --> 186.66129 sigma out 26 active outputs RANK 3 NODE 7 --> 170.74841 sigma out 26 active outputs RANK 4 NODE 5 --> 120.43380 sigma out 26 active outputs RANK 5 NODE 3 --> 120.40485 sigma out 26 active outputs RANK 6 NODE 8 --> 108.89761 sigma out 26 active outputs RANK 7 NODE 4 --> 85.811066 sigma out 26 active outputs RANK 8 NODE 6 --> 70.532005 sigma out 26 active outputs RANK 9 NODE 9 --> 56.379734 sigma out 26 active outputs RANK 10 NODE 12 --> 54.602272 sigma out 26 active outputs RANK 11 NODE 18 --> 53.408718 sigma out 26 active outputs RANK 12 NODE 11 --> 51.431847 sigma out 26 active outputs RANK 13 NODE 13 --> 50.029957 sigma out 26 active outputs RANK 14 NODE 10 --> 39.178078 sigma out 26 active outputs RANK 15 NODE 16 --> 39.163639 sigma out 26 active outputs RANK 16 NODE 15 --> 36.159271 sigma out 26 active outputs RANK 17 NODE 17 --> 34.035027 sigma out 26 active outputs RANK 18 NODE 21 --> 31.252806 sigma out 26 active outputs RANK 19 NODE 14 --> 29.490488 sigma out 26 active outputs RANK 20 NODE 23 --> 25.861576 sigma out 26 active outputs RANK 21 NODE 20 --> 25.358931 sigma out 26 active outputs RANK 22 NODE 25 --> 22.395449 sigma out 26 active outputs RANK 23 NODE 22 --> 21.573732 sigma out 26 active outputs RANK 24 NODE 19 --> 20.040466 sigma out 26 active outputs RANK 25 NODE 24 --> 8.4736099 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 19 --> 289.04211 sigma in 25 act. ( 244.85536 sig out 1 act.) RANK 2 NODE 24 --> 242.89696 sigma in 25 act. ( 190.69365 sig out 1 act.) RANK 3 NODE 21 --> 158.46060 sigma in 25 act. ( 137.75368 sig out 1 act.) RANK 4 NODE 8 --> 128.26402 sigma in 25 act. ( 188.07976 sig out 1 act.) RANK 5 NODE 20 --> 107.46366 sigma in 25 act. ( 69.492752 sig out 1 act.) RANK 6 NODE 26 --> 96.690262 sigma in 25 act. ( 90.587814 sig out 1 act.) RANK 7 NODE 13 --> 90.014046 sigma in 25 act. ( 74.755768 sig out 1 act.) RANK 8 NODE 6 --> 81.256996 sigma in 25 act. ( 56.860603 sig out 1 act.) RANK 9 NODE 23 --> 72.942169 sigma in 25 act. ( 82.580940 sig out 1 act.) RANK 10 NODE 7 --> 70.713722 sigma in 25 act. ( 56.384399 sig out 1 act.) RANK 11 NODE 25 --> 67.066216 sigma in 25 act. ( 52.404842 sig out 1 act.) RANK 12 NODE 18 --> 63.238647 sigma in 25 act. ( 47.329636 sig out 1 act.) RANK 13 NODE 9 --> 63.225948 sigma in 25 act. ( 56.596333 sig out 1 act.) RANK 14 NODE 15 --> 60.754955 sigma in 25 act. ( 44.525459 sig out 1 act.) RANK 15 NODE 5 --> 58.125038 sigma in 25 act. ( 63.972260 sig out 1 act.) RANK 16 NODE 12 --> 44.587585 sigma in 25 act. ( 38.152462 sig out 1 act.) RANK 17 NODE 22 --> 33.399437 sigma in 25 act. ( 33.984924 sig out 1 act.) RANK 18 NODE 14 --> 30.127546 sigma in 25 act. ( 31.932682 sig out 1 act.) RANK 19 NODE 2 --> 29.761829 sigma in 25 act. ( 23.716040 sig out 1 act.) RANK 20 NODE 17 --> 26.924112 sigma in 25 act. ( 26.346888 sig out 1 act.) RANK 21 NODE 11 --> 17.892389 sigma in 25 act. ( 14.984153 sig out 1 act.) RANK 22 NODE 4 --> 14.746427 sigma in 25 act. ( 11.066683 sig out 1 act.) RANK 23 NODE 1 --> 13.401727 sigma in 25 act. ( 14.633316 sig out 1 act.) RANK 24 NODE 16 --> 10.823771 sigma in 25 act. ( 7.2079582 sig out 1 act.) RANK 25 NODE 3 --> 8.8676386 sigma in 25 act. ( 3.9964044 sig out 1 act.) RANK 26 NODE 10 --> 8.8110714 sigma in 25 act. ( 0.89921528 sig out 1 act.) sorted by output significance RANK 1 NODE 19 --> 244.85536 sigma out 1 act.( 289.04211 sig in 25 act.) RANK 2 NODE 24 --> 190.69365 sigma out 1 act.( 242.89696 sig in 25 act.) RANK 3 NODE 8 --> 188.07976 sigma out 1 act.( 128.26402 sig in 25 act.) RANK 4 NODE 21 --> 137.75368 sigma out 1 act.( 158.46060 sig in 25 act.) RANK 5 NODE 26 --> 90.587814 sigma out 1 act.( 96.690262 sig in 25 act.) RANK 6 NODE 23 --> 82.580940 sigma out 1 act.( 72.942169 sig in 25 act.) RANK 7 NODE 13 --> 74.755768 sigma out 1 act.( 90.014046 sig in 25 act.) RANK 8 NODE 20 --> 69.492752 sigma out 1 act.( 107.46366 sig in 25 act.) RANK 9 NODE 5 --> 63.972260 sigma out 1 act.( 58.125038 sig in 25 act.) RANK 10 NODE 6 --> 56.860603 sigma out 1 act.( 81.256996 sig in 25 act.) RANK 11 NODE 9 --> 56.596333 sigma out 1 act.( 63.225948 sig in 25 act.) RANK 12 NODE 7 --> 56.384399 sigma out 1 act.( 70.713722 sig in 25 act.) RANK 13 NODE 25 --> 52.404842 sigma out 1 act.( 67.066216 sig in 25 act.) RANK 14 NODE 18 --> 47.329636 sigma out 1 act.( 63.238647 sig in 25 act.) RANK 15 NODE 15 --> 44.525459 sigma out 1 act.( 60.754955 sig in 25 act.) RANK 16 NODE 12 --> 38.152462 sigma out 1 act.( 44.587585 sig in 25 act.) RANK 17 NODE 22 --> 33.984924 sigma out 1 act.( 33.399437 sig in 25 act.) RANK 18 NODE 14 --> 31.932682 sigma out 1 act.( 30.127546 sig in 25 act.) RANK 19 NODE 17 --> 26.346888 sigma out 1 act.( 26.924112 sig in 25 act.) RANK 20 NODE 2 --> 23.716040 sigma out 1 act.( 29.761829 sig in 25 act.) RANK 21 NODE 11 --> 14.984153 sigma out 1 act.( 17.892389 sig in 25 act.) RANK 22 NODE 1 --> 14.633316 sigma out 1 act.( 13.401727 sig in 25 act.) RANK 23 NODE 4 --> 11.066683 sigma out 1 act.( 14.746427 sig in 25 act.) RANK 24 NODE 16 --> 7.2079582 sigma out 1 act.( 10.823771 sig in 25 act.) RANK 25 NODE 3 --> 3.9964044 sigma out 1 act.( 8.8676386 sig in 25 act.) RANK 26 NODE 10 --> 0.89921528 sigma out 1 act.( 8.8110714 sig in 25 act.) RANK 1 NODE 1 --> 449.78357 sigma in 26 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.57688332 *** contribution from regularisation: 1.38979766E-03 *** contribution from error: -0.57827312 *** contribution from DIAG: 1.44732214E-04 *********************************************** --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.57759547 *** contribution from regularisation: 1.41675200E-03 *** contribution from error: -0.57901222 *** contribution from DIAG: 1.15829818E-04 *********************************************** --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.57749313 *** contribution from regularisation: 1.40810572E-03 *** contribution from error: -0.57890123 *** contribution from DIAG: 1.38808478E-04 *********************************************** --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.57790428 *** contribution from regularisation: 1.38607749E-03 *** contribution from error: -0.57929039 *** contribution from DIAG: 1.18452583E-04 *********************************************** --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.57805645 *** contribution from regularisation: 1.38907728E-03 *** contribution from error: -0.57944554 *** contribution from DIAG: 1.16536015E-04 *********************************************** --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.57863724 *** contribution from regularisation: 1.41846039E-03 *** contribution from error: -0.58005571 *** contribution from DIAG: 1.15301082E-04 *********************************************** --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.57911390 *** contribution from regularisation: 1.40289252E-03 *** contribution from error: -0.58051682 *** contribution from DIAG: 1.05180938E-04 *********************************************** --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.57934099 *** contribution from regularisation: 1.41649297E-03 *** contribution from error: -0.58075750 *** contribution from DIAG: 1.08139095E-04 *********************************************** --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.57934791 *** contribution from regularisation: 1.46840431E-03 *** contribution from error: -0.58081633 *** contribution from DIAG: 1.15766488E-04 *********************************************** --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.57959205 *** contribution from regularisation: 1.39962137E-03 *** contribution from error: -0.58099169 *** contribution from DIAG: 1.07641739E-04 *********************************************** --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 332.88843 sigma out 26 active outputs RANK 2 NODE 2 --> 231.27443 sigma out 26 active outputs RANK 3 NODE 7 --> 196.83626 sigma out 26 active outputs RANK 4 NODE 5 --> 161.14571 sigma out 26 active outputs RANK 5 NODE 3 --> 139.53389 sigma out 26 active outputs RANK 6 NODE 8 --> 105.40216 sigma out 26 active outputs RANK 7 NODE 4 --> 82.543732 sigma out 26 active outputs RANK 8 NODE 6 --> 69.349556 sigma out 26 active outputs RANK 9 NODE 11 --> 59.418468 sigma out 26 active outputs RANK 10 NODE 9 --> 59.359337 sigma out 26 active outputs RANK 11 NODE 13 --> 58.545597 sigma out 26 active outputs RANK 12 NODE 18 --> 51.860756 sigma out 26 active outputs RANK 13 NODE 12 --> 48.524815 sigma out 26 active outputs RANK 14 NODE 16 --> 44.731735 sigma out 26 active outputs RANK 15 NODE 10 --> 42.231731 sigma out 26 active outputs RANK 16 NODE 15 --> 36.895512 sigma out 26 active outputs RANK 17 NODE 25 --> 33.502048 sigma out 26 active outputs RANK 18 NODE 17 --> 30.262796 sigma out 26 active outputs RANK 19 NODE 21 --> 29.568569 sigma out 26 active outputs RANK 20 NODE 20 --> 27.717100 sigma out 26 active outputs RANK 21 NODE 14 --> 27.666700 sigma out 26 active outputs RANK 22 NODE 23 --> 26.921440 sigma out 26 active outputs RANK 23 NODE 19 --> 20.963202 sigma out 26 active outputs RANK 24 NODE 22 --> 20.948252 sigma out 26 active outputs RANK 25 NODE 24 --> 8.6421080 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 19 --> 296.26468 sigma in 25 act. ( 265.80844 sig out 1 act.) RANK 2 NODE 24 --> 291.61127 sigma in 25 act. ( 268.52997 sig out 1 act.) RANK 3 NODE 21 --> 160.04745 sigma in 25 act. ( 135.41002 sig out 1 act.) RANK 4 NODE 8 --> 127.20271 sigma in 25 act. ( 221.16743 sig out 1 act.) RANK 5 NODE 26 --> 125.90215 sigma in 25 act. ( 135.25134 sig out 1 act.) RANK 6 NODE 20 --> 110.26363 sigma in 25 act. ( 68.726715 sig out 1 act.) RANK 7 NODE 13 --> 106.72835 sigma in 25 act. ( 93.972313 sig out 1 act.) RANK 8 NODE 7 --> 82.958122 sigma in 25 act. ( 70.415802 sig out 1 act.) RANK 9 NODE 23 --> 82.459518 sigma in 25 act. ( 98.809029 sig out 1 act.) RANK 10 NODE 6 --> 69.802429 sigma in 25 act. ( 73.313576 sig out 1 act.) RANK 11 NODE 18 --> 67.481476 sigma in 25 act. ( 49.719414 sig out 1 act.) RANK 12 NODE 25 --> 62.593639 sigma in 25 act. ( 54.878555 sig out 1 act.) RANK 13 NODE 5 --> 62.140911 sigma in 25 act. ( 65.643913 sig out 1 act.) RANK 14 NODE 15 --> 53.693249 sigma in 25 act. ( 45.199940 sig out 1 act.) RANK 15 NODE 9 --> 49.944832 sigma in 25 act. ( 47.554550 sig out 1 act.) RANK 16 NODE 12 --> 45.645302 sigma in 25 act. ( 39.386951 sig out 1 act.) RANK 17 NODE 22 --> 39.076195 sigma in 25 act. ( 42.352036 sig out 1 act.) RANK 18 NODE 17 --> 33.017017 sigma in 25 act. ( 33.100391 sig out 1 act.) RANK 19 NODE 14 --> 31.749056 sigma in 25 act. ( 31.413715 sig out 1 act.) RANK 20 NODE 2 --> 27.188175 sigma in 25 act. ( 21.311007 sig out 1 act.) RANK 21 NODE 11 --> 22.139433 sigma in 25 act. ( 20.060562 sig out 1 act.) RANK 22 NODE 4 --> 18.113892 sigma in 25 act. ( 15.019698 sig out 1 act.) RANK 23 NODE 1 --> 13.756497 sigma in 25 act. ( 15.420634 sig out 1 act.) RANK 24 NODE 16 --> 10.365189 sigma in 25 act. ( 6.8802686 sig out 1 act.) RANK 25 NODE 10 --> 9.6018629 sigma in 25 act. ( 5.5008950 sig out 1 act.) RANK 26 NODE 3 --> 9.3376055 sigma in 25 act. ( 5.5267191 sig out 1 act.) sorted by output significance RANK 1 NODE 24 --> 268.52997 sigma out 1 act.( 291.61127 sig in 25 act.) RANK 2 NODE 19 --> 265.80844 sigma out 1 act.( 296.26468 sig in 25 act.) RANK 3 NODE 8 --> 221.16743 sigma out 1 act.( 127.20271 sig in 25 act.) RANK 4 NODE 21 --> 135.41002 sigma out 1 act.( 160.04745 sig in 25 act.) RANK 5 NODE 26 --> 135.25134 sigma out 1 act.( 125.90215 sig in 25 act.) RANK 6 NODE 23 --> 98.809029 sigma out 1 act.( 82.459518 sig in 25 act.) RANK 7 NODE 13 --> 93.972313 sigma out 1 act.( 106.72835 sig in 25 act.) RANK 8 NODE 6 --> 73.313576 sigma out 1 act.( 69.802429 sig in 25 act.) RANK 9 NODE 7 --> 70.415802 sigma out 1 act.( 82.958122 sig in 25 act.) RANK 10 NODE 20 --> 68.726715 sigma out 1 act.( 110.26363 sig in 25 act.) RANK 11 NODE 5 --> 65.643913 sigma out 1 act.( 62.140911 sig in 25 act.) RANK 12 NODE 25 --> 54.878555 sigma out 1 act.( 62.593639 sig in 25 act.) RANK 13 NODE 18 --> 49.719414 sigma out 1 act.( 67.481476 sig in 25 act.) RANK 14 NODE 9 --> 47.554550 sigma out 1 act.( 49.944832 sig in 25 act.) RANK 15 NODE 15 --> 45.199940 sigma out 1 act.( 53.693249 sig in 25 act.) RANK 16 NODE 22 --> 42.352036 sigma out 1 act.( 39.076195 sig in 25 act.) RANK 17 NODE 12 --> 39.386951 sigma out 1 act.( 45.645302 sig in 25 act.) RANK 18 NODE 17 --> 33.100391 sigma out 1 act.( 33.017017 sig in 25 act.) RANK 19 NODE 14 --> 31.413715 sigma out 1 act.( 31.749056 sig in 25 act.) RANK 20 NODE 2 --> 21.311007 sigma out 1 act.( 27.188175 sig in 25 act.) RANK 21 NODE 11 --> 20.060562 sigma out 1 act.( 22.139433 sig in 25 act.) RANK 22 NODE 1 --> 15.420634 sigma out 1 act.( 13.756497 sig in 25 act.) RANK 23 NODE 4 --> 15.019698 sigma out 1 act.( 18.113892 sig in 25 act.) RANK 24 NODE 16 --> 6.8802686 sigma out 1 act.( 10.365189 sig in 25 act.) RANK 25 NODE 3 --> 5.5267191 sigma out 1 act.( 9.3376055 sig in 25 act.) RANK 26 NODE 10 --> 5.5008950 sigma out 1 act.( 9.6018629 sig in 25 act.) RANK 1 NODE 1 --> 531.89270 sigma in 26 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.57977277 *** contribution from regularisation: 1.45248091E-03 *** contribution from error: -0.58122528 *** contribution from DIAG: 9.70034816E-05 *********************************************** --------------------------------------------------- Iteration : 31 *********************************************** *** Learn Path 31 *** loss function: -0.57990021 *** contribution from regularisation: 1.43319496E-03 *** contribution from error: -0.58133340 *** contribution from DIAG: 9.67731539E-05 *********************************************** --------------------------------------------------- Iteration : 100 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 333.05560 sigma out 26 active outputs RANK 2 NODE 2 --> 233.58186 sigma out 26 active outputs RANK 3 NODE 7 --> 196.41701 sigma out 26 active outputs RANK 4 NODE 5 --> 160.43246 sigma out 26 active outputs RANK 5 NODE 3 --> 139.25850 sigma out 26 active outputs RANK 6 NODE 8 --> 105.32355 sigma out 26 active outputs RANK 7 NODE 4 --> 82.769310 sigma out 26 active outputs RANK 8 NODE 6 --> 69.835762 sigma out 26 active outputs RANK 9 NODE 11 --> 59.598709 sigma out 26 active outputs RANK 10 NODE 13 --> 59.544525 sigma out 26 active outputs RANK 11 NODE 9 --> 59.229309 sigma out 26 active outputs RANK 12 NODE 18 --> 51.236111 sigma out 26 active outputs RANK 13 NODE 12 --> 47.789536 sigma out 26 active outputs RANK 14 NODE 16 --> 45.008148 sigma out 26 active outputs RANK 15 NODE 10 --> 41.503788 sigma out 26 active outputs RANK 16 NODE 15 --> 37.077515 sigma out 26 active outputs RANK 17 NODE 25 --> 34.065071 sigma out 26 active outputs RANK 18 NODE 17 --> 30.299461 sigma out 26 active outputs RANK 19 NODE 21 --> 29.472477 sigma out 26 active outputs RANK 20 NODE 20 --> 27.769270 sigma out 26 active outputs RANK 21 NODE 14 --> 27.463179 sigma out 26 active outputs RANK 22 NODE 23 --> 26.887766 sigma out 26 active outputs RANK 23 NODE 22 --> 21.041992 sigma out 26 active outputs RANK 24 NODE 19 --> 20.992573 sigma out 26 active outputs RANK 25 NODE 24 --> 8.6715631 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 19 --> 296.34424 sigma in 25 act. ( 264.35330 sig out 1 act.) RANK 2 NODE 24 --> 293.63983 sigma in 25 act. ( 268.29651 sig out 1 act.) RANK 3 NODE 21 --> 158.11041 sigma in 25 act. ( 135.64313 sig out 1 act.) RANK 4 NODE 8 --> 127.74901 sigma in 25 act. ( 220.19482 sig out 1 act.) RANK 5 NODE 26 --> 126.71204 sigma in 25 act. ( 135.60434 sig out 1 act.) RANK 6 NODE 20 --> 109.90759 sigma in 25 act. ( 68.934708 sig out 1 act.) RANK 7 NODE 13 --> 106.91863 sigma in 25 act. ( 94.103409 sig out 1 act.) RANK 8 NODE 7 --> 83.255020 sigma in 25 act. ( 70.729935 sig out 1 act.) RANK 9 NODE 23 --> 82.156204 sigma in 25 act. ( 99.494209 sig out 1 act.) RANK 10 NODE 6 --> 69.451859 sigma in 25 act. ( 73.422096 sig out 1 act.) RANK 11 NODE 18 --> 67.715057 sigma in 25 act. ( 49.670830 sig out 1 act.) RANK 12 NODE 5 --> 62.258656 sigma in 25 act. ( 65.458519 sig out 1 act.) RANK 13 NODE 25 --> 62.180412 sigma in 25 act. ( 54.776497 sig out 1 act.) RANK 14 NODE 15 --> 53.359344 sigma in 25 act. ( 45.234123 sig out 1 act.) RANK 15 NODE 9 --> 49.644276 sigma in 25 act. ( 47.527283 sig out 1 act.) RANK 16 NODE 12 --> 45.580082 sigma in 25 act. ( 39.345787 sig out 1 act.) RANK 17 NODE 22 --> 39.133335 sigma in 25 act. ( 42.375553 sig out 1 act.) RANK 18 NODE 17 --> 32.901928 sigma in 25 act. ( 33.205246 sig out 1 act.) RANK 19 NODE 14 --> 31.755630 sigma in 25 act. ( 31.464640 sig out 1 act.) RANK 20 NODE 2 --> 27.147078 sigma in 25 act. ( 21.329443 sig out 1 act.) RANK 21 NODE 11 --> 22.249485 sigma in 25 act. ( 20.151995 sig out 1 act.) RANK 22 NODE 4 --> 18.229603 sigma in 25 act. ( 15.167546 sig out 1 act.) RANK 23 NODE 1 --> 13.657849 sigma in 25 act. ( 15.273489 sig out 1 act.) RANK 24 NODE 16 --> 10.401128 sigma in 25 act. ( 6.9171448 sig out 1 act.) RANK 25 NODE 10 --> 9.5129852 sigma in 25 act. ( 5.3165202 sig out 1 act.) RANK 26 NODE 3 --> 9.2940645 sigma in 25 act. ( 5.5437040 sig out 1 act.) sorted by output significance RANK 1 NODE 24 --> 268.29651 sigma out 1 act.( 293.63983 sig in 25 act.) RANK 2 NODE 19 --> 264.35330 sigma out 1 act.( 296.34424 sig in 25 act.) RANK 3 NODE 8 --> 220.19482 sigma out 1 act.( 127.74901 sig in 25 act.) RANK 4 NODE 21 --> 135.64313 sigma out 1 act.( 158.11041 sig in 25 act.) RANK 5 NODE 26 --> 135.60434 sigma out 1 act.( 126.71204 sig in 25 act.) RANK 6 NODE 23 --> 99.494209 sigma out 1 act.( 82.156204 sig in 25 act.) RANK 7 NODE 13 --> 94.103409 sigma out 1 act.( 106.91863 sig in 25 act.) RANK 8 NODE 6 --> 73.422096 sigma out 1 act.( 69.451859 sig in 25 act.) RANK 9 NODE 7 --> 70.729935 sigma out 1 act.( 83.255020 sig in 25 act.) RANK 10 NODE 20 --> 68.934708 sigma out 1 act.( 109.90759 sig in 25 act.) RANK 11 NODE 5 --> 65.458519 sigma out 1 act.( 62.258656 sig in 25 act.) RANK 12 NODE 25 --> 54.776497 sigma out 1 act.( 62.180412 sig in 25 act.) RANK 13 NODE 18 --> 49.670830 sigma out 1 act.( 67.715057 sig in 25 act.) RANK 14 NODE 9 --> 47.527283 sigma out 1 act.( 49.644276 sig in 25 act.) RANK 15 NODE 15 --> 45.234123 sigma out 1 act.( 53.359344 sig in 25 act.) RANK 16 NODE 22 --> 42.375553 sigma out 1 act.( 39.133335 sig in 25 act.) RANK 17 NODE 12 --> 39.345787 sigma out 1 act.( 45.580082 sig in 25 act.) RANK 18 NODE 17 --> 33.205246 sigma out 1 act.( 32.901928 sig in 25 act.) RANK 19 NODE 14 --> 31.464640 sigma out 1 act.( 31.755630 sig in 25 act.) RANK 20 NODE 2 --> 21.329443 sigma out 1 act.( 27.147078 sig in 25 act.) RANK 21 NODE 11 --> 20.151995 sigma out 1 act.( 22.249485 sig in 25 act.) RANK 22 NODE 1 --> 15.273489 sigma out 1 act.( 13.657849 sig in 25 act.) RANK 23 NODE 4 --> 15.167546 sigma out 1 act.( 18.229603 sig in 25 act.) RANK 24 NODE 16 --> 6.9171448 sigma out 1 act.( 10.401128 sig in 25 act.) RANK 25 NODE 3 --> 5.5437040 sigma out 1 act.( 9.2940645 sig in 25 act.) RANK 26 NODE 10 --> 5.3165202 sigma out 1 act.( 9.5129852 sig in 25 act.) RANK 1 NODE 1 --> 531.00299 sigma in 26 active inputs *********************************************** *** Learn Path 100 *** loss function: -0.57990348 *** contribution from regularisation: 1.42992998E-03 *** contribution from error: -0.58133340 *** contribution from DIAG: 9.61717960E-05 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE WRITE NETWORK WEIGHTS TO EXPERTISE NB_AHITOUT: storage space 84392 Training Complete :) Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/GlobalPID_Electron_Upstream_ANN.txt Training parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/train-config.txt Input Data file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/datafiles.txt Neurobayes parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC12/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels-WithGECs/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/NB.txt Training Host = lxplus432.cern.ch Particle type = electron Background types = all Training Mix = NaturalMix Track type = Upstream Track PresSel = TrackPreSelNone Network type = NeuroBayes Ghost treatment = Ghosts Ghosts Min P = 0 MeV/c Min Pt = 0 MeV/c Max Chi^2 = 10 Min likelihood = -100 Max Ghost Prob = 1 Output file = GlobalPID_Electron_Upstream_NeuroBayes.conf Skipping input #RichUsedR2Gas Skipping input #RichAboveElThres Skipping input #RichAbovePiThres Skipping input #RichAbovePrThres Training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC12-Binc-nu2.5/Reco13d.root Evaluation ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC12-Binc-nu2.5/Reco13a.root Training sample size = 1000000 Evaluation sample size = 5000000 Node layer two scale = 1.2 Input layer has 23 nodes, hidden layer has 26 nodes NB_DEF_TASK = CLA NB_DEF_MOM = 0 NB_DEF_REG = ALL NB_DEF_LOSS = ENTROPY NB_DEF_METHOD = BFGS NB_DEF_SHAPE = DIAG NB_DEF_LEARNDIAG = 1 NB_DEF_PRE = 621 Attempting to open training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC12-Binc-nu2.5/Reco13d.root Found 5016459 training data points Read entry 501645 (9.99998%) Read entry 1003290 (20%) Read entry 1504935 (29.9999%) Read entry 2006580 (39.9999%) Read entry 2508225 (49.9999%) Read entry 3009870 (59.9999%) Read entry 3511515 (69.9999%) Read entry 4013160 (79.9999%) Read entry 4514805 (89.9998%) Read entry 5016450 (99.9998%) Considered 5016459 tracks for input to NN training Sel. Eff. = 15.3957% Selected 772320 tracks for input to NN training ghost percentage = 31.254% electron percentage = 4.90095% muon percentage = 0.306868% pion percentage = 53.4443% kaon percentage = 7.06508% Unknown Particle type 411 percentage = 0.00038844% Unknown Particle type 431 percentage = 0.00012948% Unknown Particle type 521 percentage = 0.00012948% proton percentage = 2.93674% Unknown Particle type 3112 percentage = 0.0337943% Unknown Particle type 3222 percentage = 0.0280972% Unknown Particle type 3312 percentage = 0.0130775% Unknown Particle type 3334 percentage = 0.00077688% Unknown Particle type 1000010020 percentage = 0.00246012% Unknown Particle type 1000010030 percentage = 0.00297804% Unknown Particle type 1000020040 percentage = 0.0102289% Making plots for input NumProtoParticles Creating ROOT directory NNcut0.025 Creating ROOT directory NNcut0.050 Creating ROOT directory NNcut0.075 Creating ROOT directory NNcut0.100 Creating ROOT directory NNcut0.125 Creating ROOT directory NNcut0.150 Creating ROOT directory NNcut0.175 Creating ROOT directory NNcut0.200 Creating ROOT directory NNcut0.350 Creating ROOT directory NNcut0.500 Creating ROOT directory NNcut0.750 Creating ROOT directory NNcut0.900 Creating ROOT directory DLLcut-6.000 Creating ROOT directory DLLcut-5.500 Creating ROOT directory DLLcut-5.000 Creating ROOT directory DLLcut-4.500 Creating ROOT directory DLLcut-4.000 Creating ROOT directory DLLcut-3.500 Creating ROOT directory DLLcut-3.000 Creating ROOT directory DLLcut-2.500 Creating ROOT directory DLLcut-2.000 Creating ROOT directory DLLcut-1.500 Creating ROOT directory DLLcut-1.000 Creating ROOT directory DLLcut-0.500 Creating ROOT directory DLLcut0.000 Creating ROOT directory DLLcut0.500 Creating ROOT directory DLLcut1.000 Creating ROOT directory DLLcut1.500 Creating ROOT directory DLLcut2.000 Creating ROOT directory DLLcut2.500 Creating ROOT directory DLLcut3.000 Creating ROOT directory DLLcut3.500 Creating ROOT directory DLLcut4.000 Creating ROOT directory DLLcut4.500 Creating ROOT directory DLLcut5.000 Creating ROOT directory DLLcut5.500 Creating ROOT directory DLLcut6.000 Making plots for input TrackP Making plots for input TrackPt Making plots for input TrackChi2PerDof Making plots for input TrackNumDof Making plots for input TrackLikelihood Making plots for input TrackGhostProbability Making plots for input TrackCloneDist Making plots for input TrackFitVeloChi2 Making plots for input TrackFitVeloNDoF Making plots for input RichUsedAero Making plots for input RichUsedR1Gas Making plots for input RichAboveMuThres Making plots for input RichAboveKaThres Making plots for input RichDLLe Making plots for input RichDLLmu Making plots for input RichDLLk Making plots for input RichDLLp Making plots for input RichDLLbt Making plots for input InAccBrem Making plots for input BremPIDe Making plots for input VeloCharge Attempting to open evaluation ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC12-Binc-nu2.5/Reco13a.root Found 2528565 evaluation data points Read entry 252856 (9.99998%) Read entry 505712 (20%) Read entry 758568 (29.9999%) Read entry 1011424 (39.9999%) Read entry 1264280 (49.9999%) Read entry 1517136 (59.9999%) Read entry 1769992 (69.9999%) Read entry 2022848 (79.9998%) Read entry 2275704 (89.9998%) Read entry 2528560 (99.9998%) Making final performance plots ... Finished... asciiToRoot: converting ahist.txt to Root format ... finished Found 22 input variables. ***************Training results***************** number of nodes in the 1st layer: 25 number of nodes in the 2nd layer: 26 number of nodes in the 3rd layer: 1 number of iterations: 100