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/Ghost/Long 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/Ghost/Long/GlobalPID_Ghost_Long_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/Ghost/Long/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/Ghost/Long/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/Ghost/Long/NB.txt Training Host = lxplus432.cern.ch Particle type = ghost Background types = all Training Mix = NaturalMix Track type = Long 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_Ghost_Long_NeuroBayes.conf 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 38 nodes, hidden layer has 44 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: 38 Your number of nodes in the hidden layer is: 44 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 TrackFitMatchChi2 PreproFlag 34 Input 10 TrackCloneDist PreproFlag 34 Input 11 TrackFitVeloChi2 PreproFlag 14 Input 12 TrackFitVeloNDoF PreproFlag 19 Input 13 TrackFitTChi2 PreproFlag 14 Input 14 TrackFitTNDoF PreproFlag 19 Input 15 RichUsedAero PreproFlag 18 Input 16 RichUsedR1Gas PreproFlag 18 Input 17 RichUsedR2Gas PreproFlag 18 Input 18 RichAboveMuThres PreproFlag 18 Input 19 RichAboveKaThres PreproFlag 18 Input 20 RichDLLe PreproFlag 34 Input 21 RichDLLmu PreproFlag 34 Input 22 RichDLLk PreproFlag 34 Input 23 RichDLLp PreproFlag 34 Input 24 RichDLLbt PreproFlag 34 Input 25 MuonBkgLL PreproFlag 34 Input 26 MuonMuLL PreproFlag 34 Input 27 MuonIsMuon PreproFlag 19 Input 28 MuonNShared PreproFlag 19 Input 29 InAccMuon PreproFlag 19 Input 30 MuonIsLooseMuon PreproFlag 19 Input 31 EcalPIDe PreproFlag 34 Input 32 EcalPIDmu PreproFlag 34 Input 33 HcalPIDe PreproFlag 34 Input 34 HcalPIDmu PreproFlag 34 Input 35 PrsPIDe PreproFlag 34 Input 36 InAccBrem PreproFlag 19 Input 37 BremPIDe PreproFlag 34 Input 38 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%) Considered 1547685 tracks for input to NN training Sel. Eff. = 64.6126% Selected 1000000 tracks for input to NN training ghost percentage = 22.5666% electron percentage = 2.8802% muon percentage = 1.4409% pion percentage = 59.0251% kaon percentage = 9.1008% Unknown Particle type 411 percentage = 0.0017% Unknown Particle type 431 percentage = 0.0006% Unknown Particle type 521 percentage = 0.0007% proton percentage = 4.9502% Unknown Particle type 3112 percentage = 0.0063% Unknown Particle type 3222 percentage = 0.0228% Unknown Particle type 3312 percentage = 0.0035% Unknown Particle type 3334 percentage = 0.0003% Unknown Particle type 4122 percentage = 0.0001% Unknown Particle type 1000020040 percentage = 0.0002% 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= 1000000 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 = 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 # 11 : 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 # 12 : 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 # 13 : 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 # 14 : 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 # 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 = 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 # 17 : 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 # 18 : 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 # 19 : 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 # 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 = 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 # 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 variable # 24 : 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 # 25 : 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 # 26 : 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 # 27 : 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 # 28 : 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 # 29 : 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 # 30 : 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 # 31 : 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 # 32 : 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 # 33 : 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 # 34 : 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 # 35 : 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 # 36 : 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 # 37 : 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 # 38 : 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: 22.566601 % ------------------------------ 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 5.0000000 26.000000 31.000000 35.000000 38.000000 40.000000 43.000000 45.000000 47.000000 48.000000 50.000000 52.000000 53.000000 55.000000 56.000000 58.000000 59.000000 61.000000 62.000000 63.000000 65.000000 66.000000 67.000000 68.000000 70.000000 71.000000 72.000000 73.000000 74.000000 76.000000 77.000000 78.000000 79.000000 80.000000 82.000000 83.000000 84.000000 85.000000 86.000000 87.000000 88.000000 89.000000 90.000000 92.000000 93.000000 94.000000 95.000000 97.000000 98.000000 99.000000 100.000000 101.00000 103.00000 104.00000 105.00000 107.00000 108.00000 109.00000 110.00000 112.00000 113.00000 114.00000 116.00000 117.00000 118.00000 120.00000 121.00000 123.00000 124.00000 125.00000 127.00000 129.00000 130.00000 132.00000 134.00000 135.00000 138.00000 140.00000 142.00000 144.00000 147.00000 149.00000 152.00000 154.00000 157.00000 160.00000 162.00000 165.00000 169.00000 172.00000 176.00000 180.00000 184.00000 188.00000 193.00000 199.00000 207.00000 218.00000 234.00000 264.00000 407.00000 build map for variable # 2 ------------------------------ Transdef: Tab for variable 3 1145.9500 1631.2000 1798.4399 1920.7750 2026.4500 2120.8301 2208.8550 2294.5100 2377.1799 2458.6499 2540.8252 2623.8052 2705.4900 2787.6851 2871.2148 2953.3899 3037.8750 3121.7949 3205.4700 3289.6050 3376.0952 3464.3799 3552.5552 3640.8401 3731.0400 3823.4800 3917.2000 4013.7549 4110.6899 4208.3447 4306.4199 4407.5698 4513.2900 4618.9702 4728.2549 4840.3350 4952.8604 5068.6299 5184.8550 5307.3301 5429.1851 5554.4648 5681.4351 5814.4150 5950.0547 6086.8047 6230.7646 6375.9648 6526.1904 6678.2598 6836.5049 7000.3350 7169.1602 7345.0449 7522.1748 7705.7900 7898.5698 8097.2051 8305.1602 8515.5947 8734.3301 8960.9844 9200.2803 9444.6904 9698.4902 9967.7549 10243.555 10533.225 10836.365 11157.630 11480.050 11821.285 12181.574 12557.660 12959.960 13389.200 13844.766 14319.805 14828.176 15372.835 15953.960 16586.705 17266.975 18006.789 18813.664 19678.086 20646.512 21700.176 22892.445 24221.260 25729.750 27444.113 29454.730 31868.375 34789.895 38464.844 43225.801 50083.367 60937.754 83831.891 4613328.0 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 2.3165605 59.569431 79.892647 89.550690 98.165298 106.53642 114.75015 123.00790 131.12210 139.04163 146.74118 154.26649 161.74536 169.01340 176.30362 183.52594 190.60698 197.55936 204.36929 211.21291 218.08481 224.88147 231.56351 238.28008 245.05699 251.87006 258.65497 265.42102 272.28720 279.22983 286.10577 293.13147 300.33609 307.45074 314.57233 321.96600 329.28442 336.69122 344.38840 352.10394 359.80215 367.70667 375.60498 383.64728 391.71704 400.10754 408.61206 417.26831 426.10699 434.95728 444.25284 453.75900 463.18671 473.01794 483.06207 493.37555 503.93051 514.67590 525.92847 537.42322 549.26013 561.36823 573.86694 586.85480 600.22070 614.11792 628.38367 643.10974 658.76263 674.79224 691.76550 709.00427 727.31970 746.60858 767.04041 788.52783 811.01624 835.06396 860.92212 888.45837 917.75769 950.40283 984.89935 1022.8631 1064.1448 1110.9268 1162.1298 1219.9758 1287.6453 1363.7528 1451.8984 1554.9113 1679.4636 1823.2384 1994.9871 2218.6646 2507.5532 2915.6606 3569.9766 4855.5205 474016.31 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 0.12417419 0.53697145 0.59180176 0.62843275 0.65643585 0.67987591 0.70029962 0.71830511 0.73457491 0.74962962 0.76368153 0.77704650 0.78983474 0.80217522 0.81390172 0.82527959 0.83624804 0.84668899 0.85698295 0.86707395 0.87689734 0.88661361 0.89594650 0.90507144 0.91442376 0.92352080 0.93246686 0.94135797 0.95033765 0.95907950 0.96788597 0.97658062 0.98541224 0.99391699 1.0026197 1.0113057 1.0199897 1.0287490 1.0375555 1.0462656 1.0552089 1.0640606 1.0729215 1.0818274 1.0910908 1.1003869 1.1096196 1.1192476 1.1288738 1.1385682 1.1485251 1.1586745 1.1689767 1.1797186 1.1905134 1.2016451 1.2129850 1.2244519 1.2362342 1.2485087 1.2612730 1.2742850 1.2876194 1.3016429 1.3160981 1.3310839 1.3467870 1.3633497 1.3807576 1.3992245 1.4186229 1.4393280 1.4608817 1.4837588 1.5086429 1.5347135 1.5629928 1.5929873 1.6261518 1.6611001 1.6993024 1.7401891 1.7831111 1.8297274 1.8779786 1.9290099 1.9820712 2.0376713 2.0960186 2.1564229 2.2188489 2.2824202 2.3496552 2.4196084 2.4918189 2.5663450 2.6444619 2.7263072 2.8149025 2.9050875 2.9999874 do regularised spline fit for input variable # 5 ------------------------------ Transdef: Tab for variable 6 7.0000000 13.000000 14.000000 15.000000 16.000000 17.000000 17.000000 18.000000 18.000000 19.000000 19.000000 20.000000 20.000000 21.000000 21.000000 21.000000 22.000000 22.000000 23.000000 23.000000 23.000000 24.000000 24.000000 25.000000 25.000000 25.000000 26.000000 26.000000 26.000000 27.000000 27.000000 27.000000 28.000000 28.000000 28.000000 28.000000 29.000000 29.000000 29.000000 29.000000 29.000000 30.000000 30.000000 30.000000 30.000000 30.000000 31.000000 31.000000 31.000000 31.000000 31.000000 31.000000 32.000000 32.000000 32.000000 32.000000 32.000000 32.000000 32.000000 33.000000 33.000000 33.000000 33.000000 33.000000 33.000000 33.000000 34.000000 34.000000 34.000000 34.000000 34.000000 34.000000 34.000000 35.000000 35.000000 35.000000 35.000000 35.000000 35.000000 36.000000 36.000000 36.000000 36.000000 36.000000 36.000000 37.000000 37.000000 37.000000 37.000000 37.000000 38.000000 38.000000 38.000000 38.000000 39.000000 39.000000 40.000000 40.000000 41.000000 42.000000 53.000000 build map for variable # 6 ------------------------------ Transdef: Tab for variable 7 -99.991432 -59.347374 -53.235939 -49.950066 -47.441345 -45.243073 -43.139385 -41.037903 -38.810051 -36.491135 -34.063011 -31.589008 -29.197577 -26.983513 -25.003227 -23.223185 -21.579861 -20.007462 -18.498207 -17.175713 -16.007645 -14.918156 -13.920679 -13.056435 -12.303953 -11.648857 -11.061359 -10.546341 -10.090490 -9.6834869 -9.3203945 -8.9894600 -8.6930962 -8.4179306 -8.1681004 -7.9379702 -7.7214155 -7.5223408 -7.3378258 -7.1603832 -6.9945965 -6.8362851 -6.6879578 -6.5465441 -6.4122081 -6.2825432 -6.1595650 -6.0439324 -5.9318228 -5.8217840 -5.7157507 -5.6127882 -5.5143251 -5.4188399 -5.3252740 -5.2327347 -5.1445374 -5.0579658 -4.9726505 -4.8880997 -4.8055239 -4.7232561 -4.6429920 -4.5668516 -4.4914298 -4.4172807 -4.3433533 -4.2729039 -4.2013483 -4.1323643 -4.0634689 -3.9945393 -3.9281154 -3.8623862 -3.7980957 -3.7336197 -3.6682372 -3.6032143 -3.5381534 -3.4722695 -3.4066627 -3.3418283 -3.2767599 -3.2121894 -3.1473374 -3.0832374 -3.0177498 -2.9527361 -2.8832071 -2.8082962 -2.7292509 -2.6438758 -2.5539331 -2.4584687 -2.3567352 -2.2479763 -2.1326737 -2.0085740 -1.8577312 -1.6276555 0.11908619 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 1.01517553E-05 4.56403417E-04 9.01575899E-04 1.34319696E-03 1.78568996E-03 2.23662006E-03 2.67826556E-03 3.12105031E-03 3.55954003E-03 4.02260711E-03 4.46171686E-03 4.91641276E-03 5.37170377E-03 5.82728395E-03 6.28287904E-03 6.73480891E-03 7.18764309E-03 7.63994129E-03 8.09429586E-03 8.54263548E-03 8.99431482E-03 9.45063587E-03 9.91717447E-03 1.03989039E-02 1.09070856E-02 1.14690037E-02 1.20591316E-02 1.26997940E-02 1.33753549E-02 1.40831526E-02 1.48515273E-02 1.56680178E-02 1.65261496E-02 1.74568146E-02 1.84111334E-02 1.94365755E-02 2.05356143E-02 2.16955468E-02 2.29649767E-02 2.42853798E-02 2.57221479E-02 2.72684433E-02 2.89256778E-02 3.07313111E-02 3.26906368E-02 3.48416939E-02 3.71144712E-02 3.95258367E-02 4.21141908E-02 4.49163727E-02 4.77142967E-02 5.04303873E-02 5.32638505E-02 5.63356988E-02 5.97733632E-02 6.36036769E-02 6.79642558E-02 7.28156716E-02 7.82592893E-02 8.43235999E-02 9.10794586E-02 9.85745788E-02 0.10694432 0.11611313 0.12662625 0.13846126 0.15163371 0.16563371 0.18095465 0.19750109 0.21440476 0.23268199 0.25199276 0.27145556 0.29160196 0.31188956 0.33254784 0.35368273 0.37549874 0.39869893 0.42356053 0.44991910 0.47823429 0.50851965 0.54091048 0.57393122 0.60994965 0.64601779 0.68013924 0.71158934 0.73934329 0.76369274 0.78475177 0.80373716 0.82171285 0.83883631 0.85615307 0.87424755 0.89405560 0.92011929 0.99998957 do regularised spline fit for input variable # 8 build map for variable # 8 ------------------------------ Transdef: Tab for variable 9 7.91906845E-03 0.65323830 0.89326727 1.0765495 1.2352288 1.3768154 1.5093558 1.6316699 1.7494980 1.8608446 1.9695532 2.0766456 2.1802945 2.2834444 2.3816948 2.4783769 2.5773108 2.6748557 2.7685344 2.8633823 2.9579134 3.0514941 3.1448112 3.2379799 3.3313446 3.4248013 3.5185785 3.6122837 3.7085609 3.8036211 3.8987093 3.9953341 4.0924282 4.1920443 4.2927208 4.3942614 4.4972439 4.6012802 4.7067566 4.8130608 4.9215479 5.0308895 5.1432905 5.2557068 5.3737898 5.4903154 5.6103153 5.7333202 5.8577757 5.9867001 6.1169701 6.2499485 6.3861480 6.5272331 6.6749783 6.8266392 6.9815645 7.1395535 7.3005667 7.4680910 7.6413856 7.8238754 8.0121326 8.2118454 8.4156151 8.6303434 8.8544712 9.0869923 9.3324375 9.5936069 9.8682833 10.149027 10.449896 10.770740 11.113253 11.482012 11.870617 12.284155 12.733330 13.227027 13.753809 14.320654 14.936858 15.604227 16.337620 17.125860 17.984016 18.924791 19.964563 21.091311 22.344727 23.706234 25.244240 26.963581 28.921871 31.240986 34.036530 37.562653 42.403271 49.818420 101.79853 do regularised spline fit for input variable # 9 build map for variable # 9 warning: map is empty for variable 9 ------------------------------ Transdef: Tab for variable 10 1.3754117 28.736032 70.725861 105.24165 137.59717 169.90186 194.29164 229.16528 259.52667 293.87668 321.99677 352.28943 383.88541 409.47241 435.88660 470.61349 499.66016 532.59644 564.73492 597.22742 629.15729 660.37048 686.80640 718.93317 752.25000 786.75018 820.31842 855.05139 889.63391 929.76892 969.29083 1003.3248 1040.3064 1074.4590 1121.1926 1157.1582 1200.4148 1240.0800 1274.9917 1314.9255 1356.2681 1390.6106 1438.2872 1476.0547 1520.8325 1561 Only one class left for trimmed mean or sigma very small -> take "normal" mean .8716 1602.9727 1651.3752 1701.0188 1743.8879 1794.0754 1842.4875 1893.3208 1942.8203 1999.7908 2051.6555 2097.2627 2147.2217 2200.2583 2258.5190 2311.7798 2357.0640 2413.1265 2467.3054 2527.3887 2588.0115 2638.1509 2685.2620 2741.0801 2809.4131 2876.1975 2937.9221 2996.1111 3057.8398 3129.2681 3196.7314 3266.6528 3326.2441 3386.4907 3458.0637 3533.3889 3599.4985 3663.8694 3736.0508 3806.6357 3876.9238 3948.1375 4027.1538 4102.0015 4173.1895 4244.8657 4314.0977 4386.1294 4462.7295 4524.5171 4589.7617 4671.2383 4752.3496 4834.6128 4918.4897 4996.9072 do regularised spline fit for input variable # 10 build map for variable # 10 ------------------------------ Transdef: Tab for variable 11 7.10389650E-05 0.17477119 0.38724607 0.59636021 0.79824865 0.98723388 1.1660203 1.3426635 1.5107667 1.6713977 1.8292840 1.9836128 2.1357934 2.2838540 2.4270430 2.5706320 2.7130709 2.8516612 2.9888520 3.1258616 3.2641275 3.4004912 3.5348229 3.6674891 3.8029473 3.9357514 4.0675993 4.1988993 4.3312459 4.4632235 4.5919123 4.7201595 4.8501730 4.9798832 5.1093750 5.2414999 5.3755226 5.5080276 5.6402507 5.7728276 5.9053526 6.0392413 6.1732683 6.3093185 6.4466038 6.5839405 6.7217989 6.8589110 6.9993267 7.1409793 7.2831059 7.4267130 7.5705333 7.7145691 7.8590069 8.0090303 8.1591835 8.3083534 8.4621239 8.6174364 8.7764683 8.9371233 9.0976162 9.2598591 9.4265385 9.5939455 9.7678661 9.9459591 10.125397 10.311428 10.499002 10.687956 10.883379 11.083089 11.291526 11.503168 11.718513 11.942071 12.173775 12.414819 12.662033 12.918939 13.186651 13.472363 13.767796 14.079628 14.405190 14.751764 15.114579 15.511246 15.945967 16.418528 16.938354 17.521095 18.176731 18.951382 19.892092 21.092331 22.777399 25.745922 93.798401 do regularised spline fit for input variable # 11 ------------------------------ Transdef: Tab for variable 12 1.00000000 1.00000000 1.00000000 1.00000000 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 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 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 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 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 12.000000 12.000000 12.000000 13.000000 13.000000 13.000000 13.000000 14.000000 15.000000 15.000000 25.000000 build map for variable # 12 ------------------------------ Transdef: Tab for variable 13 1.12089375E-03 2.0253930 2.9704285 3.6780267 4.2757168 4.7935381 5.2814932 5.7200289 6.1268301 6.5003653 6.8606052 7.1987906 7.5215139 7.8231401 8.1160955 8.3946123 8.6653118 8.9249802 9.1756420 9.4191093 9.6539555 9.8841372 10.110025 10.328672 10.544348 10.753355 10.962626 11.165218 11.363611 11.560371 11.754929 11.949921 12.138178 12.325487 12.512901 12.699162 12.885235 13.068592 13.248846 13.430219 13.611813 13.792901 13.967972 14.147339 14.324614 14.501929 14.682697 14.859666 15.037262 15.218575 15.398434 15.582229 15.764401 15.947765 16.133917 16.322277 16.511951 16.698647 16.893379 17.090691 17.281956 17.479168 17.679073 17.883709 18.087627 18.294950 18.508911 18.726658 18.940804 19.164942 19.392651 19.627312 19.865822 20.112226 20.362679 20.620499 20.890072 21.165146 21.450092 21.745216 22.045912 22.360149 22.690765 23.040218 23.395023 23.777775 24.185390 24.620388 25.091003 25.585089 26.127480 26.716949 27.366692 28.104574 28.956150 29.963535 31.178802 32.711411 34.897835 38.608665 85.069435 do regularised spline fit for input variable # 13 ------------------------------ Transdef: Tab for variable 14 1.00000000 4.0000000 5.0000000 6.0000000 6.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 8.0000000 8.0000000 9.0000000 9.0000000 9.0000000 9.0000000 10.0000000 10.0000000 10.0000000 11.000000 11.000000 11.000000 12.000000 12.000000 12.000000 13.000000 13.000000 13.000000 14.000000 14.000000 14.000000 14.000000 14.000000 14.000000 15.000000 15.000000 15.000000 15.000000 15.000000 15.000000 15.000000 15.000000 15.000000 16.000000 16.000000 16.000000 16.000000 16.000000 16.000000 16.000000 16.000000 16.000000 16.000000 16.000000 16.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 17.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 18.000000 19.000000 19.000000 19.000000 19.000000 19.000000 19.000000 19.000000 19.000000 19.000000 20.000000 20.000000 21.000000 21.000000 29.000000 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 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 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 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 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 16 ------------------------------ Transdef: Tab for variable 17 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 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 # 17 ------------------------------ Transdef: Tab for variable 18 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 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 18 ------------------------------ Transdef: Tab for variable 19 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 # 19 ------------------------------ Transdef: Tab for variable 20 -135.75920 -59.083801 -49.946751 -44.380501 -40.551151 -37.665298 -35.370949 -33.532600 -31.964451 -30.603550 -29.401600 -28.322651 -27.349199 -26.437649 -25.596851 -24.820999 -24.069401 -23.371000 -22.700550 -22.050150 -21.456800 -20.875750 -20.315250 -19.771049 -19.246201 -18.738150 -18.232151 -17.745501 -17.274500 -16.813801 -16.356199 -15.912900 -15.481300 -15.052600 -14.629200 -14.208600 -13.802350 -13.410749 -13.016400 -12.629700 -12.232100 -11.845949 -11.462700 -11.089600 -10.721750 -10.363600 -9.9975004 -9.6463003 -9.2898998 -8.9329004 -8.5803003 -8.2383003 -7.8996000 -7.5672503 -7.2349000 -6.9046001 -6.5851002 -6.2677999 -5.9496999 -5.6409001 -5.3386998 -5.0359497 -4.7465501 -4.4610000 -4.1834002 -3.9089000 -3.6421499 -3.3866501 -3.1319499 -2.8875999 -2.6446500 -2.4072001 -2.1816001 -1.9608001 -1.7451000 -1.5360000 -1.3345000 -1.1373000 -0.94910002 -0.76265001 -0.58340001 -0.41249999 -0.24490000 -8.10000002E-02 6.62000030E-02 0.26390001 0.50255001 0.78065002 1.1104000 1.4894000 1.9387500 2.4756000 3.1203001 3.8877001 4.8406000 6.0432000 7.6315999 9.9344501 13.523500 20.644199 132.96030 do regularised spline fit for input variable # 20 build map for variable # 20 ------------------------------ Transdef: Tab for variable 21 -103.46390 -35.926151 -29.013599 -25.208599 -22.654449 -20.682999 -19.113651 -17.796900 -16.642050 -15.660450 -14.776600 -13.985500 -13.268850 -12.624550 -12.031950 -11.470600 -10.956600 -10.473249 -10.016251 -9.5854998 -9.1812000 -8.7988997 -8.4387999 -8.0937004 -7.7611499 -7.4471998 -7.1402998 -6.8489499 -6.5723000 -6.3056498 -6.0469999 -5.7952003 -5.5521002 -5.3228002 -5.1009002 -4.8875999 -4.6789999 -4.4798002 -4.2894502 -4.0994000 -3.9166999 -3.7379999 -3.5680001 -3.4029000 -3.2411001 -3.0888000 -2.9409001 -2.7966001 -2.6580000 -2.5218999 -2.3913000 -2.2630999 -2.1408000 -2.0209999 -1.9035000 -1.7910000 -1.6806000 -1.5754000 -1.4699000 -1.3698000 -1.2711500 -1.1772000 -1.0814000 -0.99140000 -0.90280002 -0.81760001 -0.73350000 -0.65060002 -0.56959999 -0.49050000 -0.41299999 -0.33649999 -0.26130000 -0.18850000 -0.11875000 -5.24999984E-02 0.0000000 2.96999998E-02 0.10480000 0.19159999 0.28549999 0.38655001 0.49640000 0.61835003 0.74985003 0.89480001 1.0535001 1.2264500 1.4176500 1.6329000 1.8714000 2.1466498 2.4658999 2.8427000 3.2972000 3.8551998 4.5718002 5.5452499 7.0153999 9.8501501 88.201797 do regularised spline fit for input variable # 21 build map for variable # 21 ------------------------------ Transdef: Tab for variable 22 -158.96159 -63.486500 -53.372047 -47.231201 -42.827599 -39.320099 -36.419998 -33.886948 -31.648651 -29.646851 -27.829250 -26.188250 -24.685650 -23.289299 -21.980900 -20.752651 -19.590099 -18.498650 -17.445751 -16.450550 -15.516951 -14.615000 -13.781250 -12.974350 -12.195499 -11.460000 -10.765751 -10.100300 -9.4647999 -8.8494997 -8.2769003 -7.7275500 -7.2002501 -6.6995502 -6.2215500 -5.7498999 -5.3023500 -4.8712001 -4.4569001 -4.0546999 -3.6687000 -3.2922001 -2.9304500 -2.5834999 -2.2497001 -1.9259000 -1.6124500 -1.3060501 -1.0087000 -0.72219998 -0.43930000 -0.16275001 0.0000000 0.0000000 0.0000000 0.19315001 0.44204998 0.69340003 0.93674999 1.1894000 1.4421000 1.6988000 1.9551001 2.2218499 2.4902000 2.7634001 3.0441000 3.3269999 3.6172500 3.9133501 4.2129002 4.5158501 4.8302002 5.1496000 5.4758501 5.8115001 6.1556501 6.5112000 6.8820500 7.2688999 7.6698999 8.0892000 8.5304003 9.0095501 9.5304003 10.108000 10.742849 11.458150 12.254749 13.150949 14.144850 15.230850 16.470051 17.838150 19.371300 21.185200 23.361801 26.151300 30.137699 37.883598 158.15280 do regularised spline fit for input variable # 22 build map for variable # 22 ------------------------------ Transdef: Tab for variable 23 -173.16310 -59.896202 -50.335701 -44.629150 -40.534653 -37.233250 -34.480049 -32.166050 -30.106300 -28.248800 -26.578550 -25.029650 -23.569099 -22.230701 -20.990150 -19.795601 -18.636749 -17.554649 -16.517151 -15.552250 -14.611750 -13.725500 -12.883400 -12.061850 -11.293600 -10.549100 -9.8261499 -9.1238003 -8.4646492 -7.8316002 -7.2133999 -6.6197500 -6.0538001 -5.4907999 -4.9449501 -4.4144001 -3.9138999 -3.4153500 -2.9430001 -2.4846501 -2.0308001 -1.5940499 -1.1700000 -0.75819999 -0.35115001 0.0000000 0.0000000 0.0000000 0.18070000 0.52850002 0.87405002 1.2201999 1.5657001 1.9124000 2.2561500 2.6027999 2.9477000 3.2926500 3.6283000 3.9435000 4.2691002 4.5811000 4.8774500 5.1703000 5.4576001 5.7315998 6.0046000 6.2705002 6.5303497 6.7954502 7.0565000 7.3119998 7.5735998 7.8348999 8.0929003 8.3634996 8.6422005 8.9287996 9.2252998 9.5432997 9.8740997 10.226549 10.611400 11.045500 11.518150 12.042300 12.630150 13.289000 14.008949 14.844549 15.772850 16.768700 17.902500 19.153049 20.541201 22.138399 24.017200 26.329800 29.394100 34.238300 127.19630 do regularised spline fit for input variable # 23 build map for variable # 23 ------------------------------ Transdef: Tab for variable 24 -164.16460 -54.109947 -45.542351 -40.313400 -36.623299 -33.614300 -31.156750 -29.042450 -27.128799 -25.402649 -23.834351 -22.418850 -21.106499 -19.866899 -18.663052 -17.535250 -16.448500 -15.434600 -14.441600 -13.511100 -12.595100 -11.701450 -10.852700 -10.042749 -9.2213001 -8.4332504 -7.6795001 -6.9400997 -6.2436500 -5.5634003 -4.9050999 -4.2848501 -3.7041500 -3.1401501 -2.6038499 -2.1050999 -1.6130500 -1.1420000 -0.69059998 -0.24640000 0.0000000 0.0000000 0.0000000 0.33440000 0.69800001 1.0554000 1.4062999 1.7577000 2.1027999 2.4427500 2.7793500 3.1078000 3.4356000 3.7488000 4.0515499 4.3537002 4.6465998 4.9312000 5.2073002 5.4805498 5.7438002 6.0030999 6.2565498 6.5040002 6.7571998 7.0057998 7.2504001 7.4963999 7.7472000 7.9970999 8.2529001 8.5170002 8.7861996 9.0651493 9.3576508 9.6676998 9.9889507 10.333500 10.716150 11.133850 11.581150 12.082750 12.633100 13.250900 13.917500 14.659950 15.479100 16.369350 17.318199 18.377899 19.460049 20.636000 21.907551 23.287701 24.752100 26.400101 28.299299 30.524700 33.370499 37.628349 69.058502 do regularised spline fit for input variable # 24 build map for variable # 24 ------------------------------ Transdef: Tab for variable 25 -8.7196999 -6.1390500 -5.7510500 -5.4811001 -5.2706499 -5.0969000 -4.9426498 -4.7906499 -4.6399999 -4.5013504 -4.3603501 -4.2167001 -4.0841498 -3.9502501 -3.8153000 -3.6830502 -3.5507500 -3.4146500 -3.2829001 -3.1500502 -3.0246501 -2.9073000 -2.7902999 -2.6747999 -2.5660000 -2.4542000 -2.3386002 -2.2271500 -2.1315999 -2.0339000 -1.9414500 -1.8570000 -1.7732000 -1.6858001 -1.6022000 -1.5325000 -1.4673001 -1.3994000 -1.3321000 -1.2748499 -1.2180500 -1.1630000 -1.1091000 -1.0602500 -1.0144501 -0.96965003 -0.92900002 -0.88954997 -0.85110003 -0.81360000 -0.77840000 -0.74690002 -0.71569997 -0.68475002 -0.65340000 -0.62550002 -0.60030001 -0.57529998 -0.55110002 -0.52640003 -0.50365001 -0.48199999 -0.46270001 -0.44244999 -0.42320001 -0.40380001 -0.38519999 -0.36795002 -0.35159999 -0.33649999 -0.32190001 -0.30730000 -0.29350001 -0.27930000 -0.26625001 -0.25380000 -0.24150001 -0.22870000 -0.21750000 -0.20610000 -0.19440000 -0.18364999 -0.17340000 -0.16320001 -0.15380000 -0.14470001 -0.13510001 -0.12570000 -0.11640000 -0.10760000 -9.83500034E-02 -8.92999992E-02 -8.03999975E-02 -7.15999976E-02 -6.21999986E-02 -5.20999990E-02 -4.20500003E-02 -3.22999991E-02 -2.29000002E-02 -1.16999997E-02 1.96000002E-02 do regularised spline fit for input variable # 25 build map for variable # 25 ------------------------------ Transdef: Tab for variable 26 -69.077599 -3.2193999 -2.5969999 -2.1751001 -1.8945000 -1.6911500 -1.5214000 -1.3665000 -1.2472000 -1.1348000 -1.0377500 -0.95240003 -0.87230003 -0.80390000 -0.74089998 -0.68279999 -0.63209999 -0.58429998 -0.53960001 -0.50195003 -0.46495003 -0.43279999 -0.40290001 -0.37570000 -0.34825000 -0.32580000 -0.30230001 -0.28459999 -0.26629999 -0.24820000 -0.23260000 -0.21799999 -0.20469999 -0.19180000 -0.18070000 -0.16910000 -0.15950000 -0.15080000 -0.14035001 -0.13030000 -0.12150000 -0.11400000 -0.10580000 -9.92999971E-02 -9.38000008E-02 -8.77000019E-02 -8.20999965E-02 -7.62000009E-02 -7.14000016E-02 -6.70000017E-02 -6.32999986E-02 -5.90999983E-02 -5.64999990E-02 -5.26000001E-02 -4.94999997E-02 -4.61000018E-02 -4.36999984E-02 -4.08000015E-02 -3.84000018E-02 -3.53999995E-02 -3.33000012E-02 -3.11999992E-02 -2.89999992E-02 -2.73000002E-02 -2.51000002E-02 -2.33999994E-02 -2.21999995E-02 -1.99999996E-02 -1.83000006E-02 -1.66999996E-02 -1.54999997E-02 -1.42000001E-02 -1.30000003E-02 -1.20000001E-02 -1.09999999E-02 -9.89999995E-03 -9.10000037E-03 -8.39999970E-03 -7.49999983E-03 -6.89999992E-03 -6.30000001E-03 -5.59999980E-03 -4 Only one class left for trimmed mean or sigma very small -> take "normal" mean .69999993E-03 -4.60000010E-03 -3.80000006E-03 -2.70000007E-03 -2.40000011E-03 -2.00000009E-03 -1.59999996E-03 -6.99999975E-04 -1.99999995E-04 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 do regularised spline fit for input variable # 26 build map for variable # 26 ------------------------------ Transdef: Tab for variable 27 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 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 build map for variable # 27 ------------------------------ Transdef: Tab for variable 28 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 0.000000 Only one class left for trimmed mean or sigma very small -> take "normal" mean 0 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 2.0000000 3.0000000 4.0000000 7.0000000 71.000000 build map for variable # 28 ------------------------------ Transdef: Tab for variable 29 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 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 29 ------------------------------ Transdef: Tab for variable 30 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 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 build map for variable # 30 ------------------------------ Transdef: Tab for variable 31 -3.2836368 -3.2836368 -3.2836368 -3.2836368 -3.2836368 -3.2836368 -3.2836368 -3.2836368 -3.2416029 -3.2416029 -3.2416029 -3.2416029 -3.2416029 -3.0278540 -3.0006466 -3.0006466 -3.0006466 -2.9665823 -2.9665823 -2.9638019 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.9475605 -2.8773284 -2.8550975 -2.8448489 -2.7301669 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7234268 -2.7015171 -2.6652036 -2.6652036 -2.6605377 -2.6492343 -2.6397314 -2.6057148 -2.5658543 -2.5513430 -2.4989810 -2.4791608 -2.4266739 -2.3761711 -2.3158970 -2.2613974 -2.1752832 -2.0872750 -2.0104039 -1.9419260 -1.8843675 -1.8306074 -1.7156448 -1.6116626 -1.4709072 -1.3891125 -1.3297725 -1.2038183 -1.0773206 -0.96697426 -0.88146687 -0.75323105 -0.66747022 -0.58984900 -0.36451364 -0.25674987 -0.14474916 0.15571213 0.21431684 0.59185934 0.90547585 0.92800593 1.3494213 1.6953181 1.8643425 1.8643425 1.8643425 2.1494761 2.6444986 2.6444986 4.3412738 do regularised spline fit for input variable # 31 build map for variable # 31 ------------------------------ Transdef: Tab for variable 32 -4.9908690 -4.0343776 -3.9301395 -3.7463410 -3.6256421 -3.4979186 -3.3975606 -3.2881608 -3.2343047 -3.1605649 -3.0652494 -3.0255005 -2.9598532 -2.9244525 -2.8910732 -2.8532186 -2.8046494 -2.7658658 -2.7238116 -2.6822832 -2.5647428 -2.5090175 -2.4691846 -2.4329996 -2.3830161 -2.3621249 -2.3277090 -2.2319381 -2.2286015 -2.2079999 -2.1973548 -2.1110411 -2.0264561 -1.9841363 -1.9560757 -1.8931854 -1.8613431 -1.8350430 -1.7438278 -1.6387167 -1.5773020 -1.4827492 -1.4183660 -1.2885895 -1.2504973 -1.1556687 -1.0184388 -0.91869926 -0.80130887 -0.74497175 -0.53067303 -0.48539376 -0.43008661 -0.34639144 -0.24464154 -0.10526705 -6.53061867E-02 0.0000000 4.75263596E-03 1.81838274E-02 0.10704231 0.27553940 0.30881739 0.30881739 0.30881739 0.36177742 0.36177742 0.38269866 0.38269866 0.38970459 0.38970459 0.38970459 0.42272854 0.43395531 0.45790577 0.45790577 0.49473286 0.49473286 0.49473286 0.50177789 0.50177789 0.52569431 0.52986097 0.57975560 0.63534582 0.67813468 0.73488665 0.79006058 0.92845798 0.98718369 1.0518795 1.0881913 1.1921762 1.2041461 1.2622266 1.2820680 1.4788733 1.6325785 1.7927129 2.0881600 2.1529760 do regularised spline fit for input variable # 32 build map for variable # 32 ------------------------------ Transdef: Tab for variable 33 -3.1926537 -2.0605624 -1.9261804 -1.8767328 -1.8378587 -1.7984114 -1.7730842 -1.7566428 -1.7550488 -1.7332025 -1.7107959 -1.7021904 -1.6815901 -1.6630359 -1.6359808 -1.6081314 -1.6071992 -1.6038003 -1.5762410 -1.5359302 -1.5052418 -1.5041552 -1.4924545 -1.4776279 -1.4404001 -1.4325185 -1.4092379 -1.3941150 -1.3941150 -1.3705502 -1.3426208 -1.3375854 -1.2731457 -1.2308407 -1.2062383 -1.1596675 -1.1286817 -1.0980473 -1.0896273 -1.0483208 -1.0245690 -1.0000229 -0.94651794 -0.93143892 -0.92433310 -0.90954638 -0.86666012 -0.82600498 -0.82600498 -0.81234050 -0.73570013 -0.70265961 -0.64154816 -0.60048342 -0.56451273 -0.56213856 -0.52588367 -0.49893808 -0.41666985 -0.37956309 -0.35483146 -0.27961063 -0.17378473 -0.14164352 -0.12792969 -0.10227394 1.16307735E-02 3.37190628E-02 0.18401551 0.18401551 0.27674794 0.35724688 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.43491560 0.44289875 0.59689927 0.59689927 0.59689927 0.59689927 0.59689927 0.59689927 0.59689927 0.59689927 0.59689927 0.59689927 0.59689927 0.77041048 0.77041048 0.96187180 1.1378852 3.1279697 do regularised spline fit for input variable # 33 build map for variable # 33 ------------------------------ Transdef: Tab for variable 34 -3.3695576 -3.2237020 -3.0453293 -2.9238293 -2.9146080 -2.7940152 -2.6683688 -2.4936838 -2.4936838 -2.4936838 -2.4936838 -2.4818461 -2.4818461 -2.4818461 -2.4818461 -2.4818461 -2.4636617 -2.4636617 -2.4636617 -2.4636617 -2.4636617 -2.4636617 -2.4636617 -2.3946366 -2.3946366 -2.3946366 -2.3946366 -2.3946366 -2.3946366 -2.3946366 -2.3650813 -2.3650813 -2.2689962 -2.1783221 -2.1508331 -2.1508331 -2.0526528 -2.0215816 -1.9586833 -1.8959324 -1.8123815 -1.7924498 -1.7862520 -1.7817432 -1.7455347 -1.6280298 -1.5787416 -1.5528479 -1.5464965 -1.4755378 -1.3904824 -1.3717594 -1.3143506 -1.2618835 -1.1992986 -1.1473465 -1.1155801 -1.0380182 -1.0148759 -0.93444252 -0.90641451 -0.83626390 -0.76193666 -0.70088077 -0.68109894 -0.54982185 -0.50580549 -0.45351720 -0.40645123 -0.37369537 -0.32123756 -0.26977158 -0.17009425 -0.14631844 -4.43582535E-02 2.89404392E-02 0.17667246 0.21200132 0.33315063 0.36607599 0.42075300 0.45639038 0.53350163 0.60951042 0.62567139 0.69113398 0.74155164 0.84472799 1.0186131 1.0940375 1.1923339 1.3360538 1.3636653 1.4121656 1.4393320 1.6454380 1.7869266 1.8639314 1.9754280 2.0496337 2.8733890 do regularised spline fit for input variable # 34 build map for variable # 34 ------------------------------ Transdef: Tab for variable 35 -3.5034723 -3.3279939 -3.3279939 -3.3279939 -3.2977571 -3.2977571 -3.0626965 -3.0626965 -3.0626965 -3.0626965 -3.0626965 -3.0626965 -3.0626965 -3.0626965 -3.0531051 -3.0363460 -3.0363460 -3.0363460 -3.0363460 -3.0119004 -3.0119004 -3.0119004 -3.0119004 -3.0119004 -3.0119004 -3.0119004 -2.9361010 -2.8354864 -2.8354864 -2.8053331 -2.8053331 -2.7308207 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.7306631 -2.6959555 -2.6041896 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4605131 -2.4521689 -2.3723817 -2.3422017 -2.3422017 -2.3422017 -2.3422017 -2.3422017 -2.3422017 -2.3422017 -2.3213069 -2.1186621 -2.0427854 -2.0427854 -1.5577614 -1.3310790 -1.2311485 -1.1370869 -0.84547758 -0.45402503 -0.35256767 2.46186256E-02 0.22776842 0.49749899 0.57883716 0.90208435 1.0467730 1.3260539 1.5056629 1.7568974 1.8900483 2.0001750 2.2371669 2.4557421 3.4631350 do regularised spline fit for input variable # 35 build map for variable # 35 ------------------------------ Transdef: Tab for variable 36 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 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 36 ------------------------------ Transdef: Tab for variable 37 -1.5698276 -0.63897610 -0.63897610 -0.63897610 -0.63897610 -0.63897610 -0.63897610 -0.63897610 -0.63897610 -0.63897610 -0.63897610 -0.62506574 -0.62506574 -0.62506574 -0.62506574 -0.62138510 -0.62138510 -0.62138510 -0.62138510 -0.62138510 -0.62138510 -0.62138510 -0.61883551 -0.61883551 -0.61883551 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.60750651 -0.59140563 -0.59140563 -0.58125848 -0.58125848 -0.55781031 -0.55434102 -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 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.54240912 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.52834558 -0.52067155 -0.52067155 -0.46709609 -0.46140027 -0.40677673 -0.37355232 -0.33853006 -0.29606819 -0.20665979 -0.17001677 -8.66560936E-02 -2.71778107E-02 3.70359421E-03 3.28431129E-02 0.18533754 0.41030312 0.75469494 1.3653517 2.2675354 4.7914839 do regularised spline fit for input variable # 37 build map for variable # 37 ------------------------------ Transdef: Tab for variable 38 0.55056179 0.85674155 0.87844741 0.89185393 0.90199751 0.90941012 0.91643256 0.92228466 0.92696631 0.93258429 0.93632960 0.94101125 0.94484168 0.94881397 0.95154494 0.95505619 0.95856744 0.96129841 0.96441948 0.96709472 0.96910113 0.97261238 0.97471911 0.97752810 0.98002499 0.98314607 0.98314607 0.98782772 0.98938829 0.99250937 0.99438202 0.99719101 0.99875158 1.0007023 1.0018727 1.0049938 1.0065544 1.0086824 1.0112360 1.0137895 1.0159177 1.0174781 1.0205992 1.0217696 1.0237204 1.0252810 1.0280899 1.0299625 1.0323033 1.0342185 1.0362047 1.0393258 1.0393258 1.0428370 1.0449438 1.0473515 1.0495404 1.0518103 1.0533708 1.0561798 1.0580524 1.0611736 1.0634029 1.0674157 1.0674157 1.0709270 1.0730337 1.0767790 1.0786517 1.0814607 1.0849719 1.0878447 1.0908240 1.0955056 1.0955056 1.1001873 1.1039326 1.1072097 1.1111112 1.1151686 1.1189139 1.1235955 1.1287028 1.1338100 1.1392010 1.1454432 1.1516854 1.1579276 1.1657304 1.1746681 1.1853932 1.1966292 1.2109863 1.2275281 1.2500000 1.2808989 1.3237360 1.3904494 1.5000000 1.7359550 7.0365167 do regularised spline fit for input variable # 38 build map for variable # 38 warning: map is empty for variable 38 TOTAL CORRELATION OF ALL VARIABLES 81.343533121857931 ROUND 1 : MAX CORR ( 81.343521189906454 ) AFTER KILLING INPUT VARIABLE 3 CONTR 4.40587566518947510E-002 ROUND 2 : MAX CORR ( 81.343425410341013 ) AFTER KILLING INPUT VARIABLE 37 CONTR 0.12482822216415417 ROUND 3 : MAX CORR ( 81.343166514222716 ) AFTER KILLING INPUT VARIABLE 26 CONTR 0.20522896274011854 ROUND 4 : MAX CORR ( 81.342884128053186 ) AFTER KILLING INPUT VARIABLE 6 CONTR 0.21433686261865548 ROUND 5 : MAX CORR ( 81.342223127646307 ) AFTER KILLING INPUT VARIABLE 23 CONTR 0.32792517757736128 ROUND 6 : MAX CORR ( 81.341623500462319 ) AFTER KILLING INPUT VARIABLE 24 CONTR 0.31232940436902107 ROUND 7 : MAX CORR ( 81.340904692210160 ) AFTER KILLING INPUT VARIABLE 2 CONTR 0.34196131908090677 ROUND 8 : MAX CORR ( 81.339806836060021 ) AFTER KILLING INPUT VARIABLE 30 CONTR 0.42261095544226629 ROUND 9 : MAX CORR ( 81.338528170606665 ) AFTER KILLING INPUT VARIABLE 38 CONTR 0.45608241249026704 ROUND 10 : MAX CORR ( 81.336965295814323 ) AFTER KILLING INPUT VARIABLE 16 CONTR 0.50422358936348843 ROUND 11 : MAX CORR ( 81.334314112712349 ) AFTER KILLING INPUT VARIABLE 28 CONTR 0.65671253006509800 ROUND 12 : MAX CORR ( 81.331057088002893 ) AFTER KILLING INPUT VARIABLE 18 CONTR 0.72787714167500450 ROUND 13 : MAX CORR ( 81.327901260476338 ) AFTER KILLING INPUT VARIABLE 34 CONTR 0.71646606213924668 ROUND 14 : MAX CORR ( 81.323790222682305 ) AFTER KILLING INPUT VARIABLE 11 CONTR 0.81772076587941711 ROUND 15 : MAX CORR ( 81.316244933079531 ) AFTER KILLING INPUT VARIABLE 25 CONTR 1.1077753230034064 ROUND 16 : MAX CORR ( 81.307811842033544 ) AFTER KILLING INPUT VARIABLE 15 CONTR 1.1710779124602699 ROUND 17 : MAX CORR ( 81.301196183988878 ) AFTER KILLING INPUT VARIABLE 22 CONTR 1.0371912032419393 ROUND 18 : MAX CORR ( 81.291244135295017 ) AFTER KILLING INPUT VARIABLE 21 CONTR 1.2720565566482882 ROUND 19 : MAX CORR ( 81.280560522838556 ) AFTER KILLING INPUT VARIABLE 9 CONTR 1.3178976277826231 ROUND 20 : MAX CORR ( 81.268801012296976 ) AFTER KILLING INPUT VARIABLE 19 CONTR 1.3825704070674782 ROUND 21 : MAX CORR ( 81.256881947598600 ) AFTER KILLING INPUT VARIABLE 12 CONTR 1.3918168451154602 ROUND 22 : MAX CORR ( 81.241750805113398 ) AFTER KILLING INPUT VARIABLE 36 CONTR 1.5680529218849037 ROUND 23 : MAX CORR ( 81.228606651461249 ) AFTER KILLING INPUT VARIABLE 14 CONTR 1.4613470985117445 ROUND 24 : MAX CORR ( 81.213831709990231 ) AFTER KILLING INPUT VARIABLE 29 CONTR 1.5492183574951079 ROUND 25 : MAX CORR ( 81.194693514618237 ) AFTER KILLING INPUT VARIABLE 27 CONTR 1.7630105177865980 ROUND 26 : MAX CORR ( 81.171836542881721 ) AFTER KILLING INPUT VARIABLE 31 CONTR 1.9264493734537458 ROUND 27 : MAX CORR ( 81.155256673104191 ) AFTER KILLING INPUT VARIABLE 32 CONTR 1.6405371275550398 ROUND 28 : MAX CORR ( 81.126136523930100 ) AFTER KILLING INPUT VARIABLE 33 CONTR 2.1738579479985192 ROUND 29 : MAX CORR ( 81.061802684635452 ) AFTER KILLING INPUT VARIABLE 13 CONTR 3.2301970244202853 ROUND 30 : MAX CORR ( 81.022166111296286 ) AFTER KILLING INPUT VARIABLE 5 CONTR 2.5346504919383017 ROUND 31 : MAX CORR ( 80.933973643246844 ) AFTER KILLING INPUT VARIABLE 35 CONTR 3.7793268819611487 ROUND 32 : MAX CORR ( 80.855591366661088 ) AFTER KILLING INPUT VARIABLE 17 CONTR 3.5611001717580453 ROUND 33 : MAX CORR ( 80.679098280708516 ) AFTER KILLING INPUT VARIABLE 20 CONTR 5.3394527682390418 ROUND 34 : MAX CORR ( 80.476887555887828 ) AFTER KILLING INPUT VARIABLE 10 CONTR 5.7085434836927531 ROUND 35 : MAX CORR ( 79.152988199521900 ) AFTER KILLING INPUT VARIABLE 4 CONTR 14.537327463098549 ROUND 36 : MAX CORR ( 77.678465149361244 ) AFTER KILLING INPUT VARIABLE 7 CONTR 15.206958701631423 LAST REMAINING VARIABLE: 8 total correlation to target: 81.343533121857931 % total significance: 813.43533121857934 sigma correlations of single variables to target: variable 2 : 24.437162157609965 % , in sigma: 244.37162157609964 variable 3 : 11.844027887063596 % , in sigma: 118.44027887063596 variable 4 : 28.135494248598548 % , in sigma: 281.35494248598548 variable 5 : 67.199897455727367 % , in sigma: 671.99897455727364 variable 6 : 43.895208010503033 % , in sigma: 438.95208010503035 variable 7 : 73.518135978264738 % , in sigma: 735.18135978264741 variable 8 : 77.678465149361230 % , in sigma: 776.78465149361227 variable 9 : 54.466238660486212 % , in sigma: 544.66238660486215 variable 10 : 12.450127304273700 % , in sigma: 124.50127304273700 variable 11 : 14.138425233513212 % , in sigma: 141.38425233513215 variable 12 : 29.334223873037228 % , in sigma: 293.34223873037229 variable 13 : 14.360049663691184 % , in sigma: 143.60049663691186 variable 14 : 40.868104806224117 % , in sigma: 408.68104806224113 variable 15 : 7.4377590584816531 % , in sigma: 74.377590584816531 variable 16 : 8.7190521124641460 % , in sigma: 87.190521124641464 variable 17 : 5.6847548990016259 % , in sigma: 56.847548990016264 variable 18 : 19.129859510375663 % , in sigma: 191.29859510375664 variable 19 : 16.691056393234632 % , in sigma: 166.91056393234632 variable 20 : 30.208845604395190 % , in sigma: 302.08845604395191 variable 21 : 26.810201248878649 % , in sigma: 268.10201248878650 variable 22 : 33.439210320295892 % , in sigma: 334.39210320295894 variable 23 : 31.667094922706866 % , in sigma: 316.67094922706866 variable 24 : 30.858866654770928 % , in sigma: 308.58866654770929 variable 25 : 5.5089287830009104 % , in sigma: 55.089287830009106 variable 26 : 4.5451005286939390 % , in sigma: 45.451005286939392 variable 27 : 1.1978777210309746 % , in sigma: 11.978777210309746 variable 28 : 7.3851238977580369 % , in sigma: 73.851238977580365 variable 29 : 1.9322634059899708 % , in sigma: 19.322634059899709 variable 30 : 0.14018125653269797 % , in sigma: 1.4018125653269797 variable 31 : 11.864034985231333 % , in sigma: 118.64034985231334 variable 32 : 15.824995706469029 % , in sigma: 158.24995706469028 variable 33 : 14.676005985041172 % , in sigma: 146.76005985041172 variable 34 : 9.5599386147375061 % , in sigma: 95.599386147375071 variable 35 : 17.015252287062999 % , in sigma: 170.15252287062998 variable 36 : 9.5506099502008706 % , in sigma: 95.506099502008709 variable 37 : 15.801372354601362 % , in sigma: 158.01372354601361 variable 38 : 11.556102582735010 % , in sigma: 115.56102582735011 variables sorted by significance: 1 most relevant variable 8 corr 77.678467 , in sigma: 776.78466796875000 2 most relevant variable 7 corr 15.206959 , in sigma: 152.06958770751953 3 most relevant variable 4 corr 14.537328 , in sigma: 145.37327766418457 4 most relevant variable 10 corr 5.7085433 , in sigma: 57.085433006286621 5 most relevant variable 20 corr 5.3394527 , in sigma: 53.394527435302734 6 most relevant variable 17 corr 3.5611002 , in sigma: 35.611002445220947 7 most relevant variable 35 corr 3.7793269 , in sigma: 37.793269157409668 8 most relevant variable 5 corr 2.5346506 , in sigma: 25.346505641937256 9 most relevant variable 13 corr 3.2301970 , in sigma: 32.301969528198242 10 most relevant variable 33 corr 2.1738579 , in sigma: 21.738579273223877 11 most relevant variable 32 corr 1.6405371 , in sigma: 16.405371427536011 12 most relevant variable 31 corr 1.9264494 , in sigma: 19.264494180679321 13 most relevant variable 27 corr 1.7630105 , in sigma: 17.630105018615723 14 most relevant variable 29 corr 1.5492184 , in sigma: 15.492184162139893 15 most relevant variable 14 corr 1.4613471 , in sigma: 14.613471031188965 16 most relevant variable 36 corr 1.5680529 , in sigma: 15.680528879165649 17 most relevant variable 12 corr 1.3918169 , in sigma: 13.918168544769287 18 most relevant variable 19 corr 1.3825704 , in sigma: 13.825703859329224 19 most relevant variable 9 corr 1.3178977 , in sigma: 13.178976774215698 20 most relevant variable 21 corr 1.2720566 , in sigma: 12.720565795898438 21 most relevant variable 22 corr 1.0371912 , in sigma: 10.371911525726318 22 most relevant variable 15 corr 1.1710780 , in sigma: 11.710779666900635 23 most relevant variable 25 corr 1.1077753 , in sigma: 11.077753305435181 24 most relevant variable 11 corr 0.81772077 , in sigma: 8.1772077083587646 25 most relevant variable 34 corr 0.71646607 , in sigma: 7.1646606922149658 26 most relevant variable 18 corr 0.72787714 , in sigma: 7.2787714004516602 27 most relevant variable 28 corr 0.65671253 , in sigma: 6.5671253204345703 28 most relevant variable 16 corr 0.50422359 , in sigma: 5.0422358512878418 29 most relevant variable 38 corr 0.45608240 , in sigma: 4.5608240365982056 30 most relevant variable 30 corr 0.42261097 , in sigma: 4.2261096835136414 31 most relevant variable 2 corr 0.34196132 , in sigma: 3.4196132421493530 32 most relevant variable 24 corr 0.31232941 , in sigma: 3.1232941150665283 33 most relevant variable 23 corr 0.32792518 , in sigma: 3.2792517542839050 34 most relevant variable 6 corr 0.21433686 , in sigma: 2.1433685719966888 35 most relevant variable 26 corr 0.20522897 , in sigma: 2.0522896945476532 36 most relevant variable 37 corr 0.12482822 , in sigma: 1.2482821941375732 37 most relevant variable 3 corr 4.40587550E-02 , in sigma: 0.44058755040168762 global correlations between input variables: variable 2 : 43.064355040800436 % variable 3 : 85.192808976439679 % variable 4 : 83.217116319638677 % variable 5 : 90.634486815431728 % variable 6 : 86.019186387495211 % variable 7 : 89.257565528803127 % variable 8 : 91.611321005128517 % variable 9 : 80.176872570756430 % variable 10 : 15.188803225051101 % variable 11 : 60.373221220797838 % variable 12 : 75.142647676405801 % variable 13 : 55.125256727177671 % variable 14 : 73.420026688804569 % variable 15 : 85.478820454742717 % variable 16 : 85.522434589049439 % variable 17 : 74.829606497388497 % variable 18 : 80.908953568428686 % variable 19 : 79.901909852139909 % variable 20 : 87.292308399338495 % variable 21 : 86.109892827173496 % variable 22 : 92.451477311638925 % variable 23 : 96.835342147582935 % variable 24 : 96.158221569489385 % variable 25 : 84.464669349408922 % variable 26 : 82.606787888865071 % variable 27 : 83.731156869982399 % variable 28 : 53.064828836562143 % variable 29 : 62.513800698611945 % variable 30 : 82.969943895941057 % variable 31 : 43.896975989654983 % variable 32 : 42.530310163702815 % variable 33 : 56.683119713049393 % variable 34 : 64.773820347415864 % variable 35 : 37.540164739780288 % variable 36 : 86.516762083251265 % variable 37 : 67.150762585114038 % variable 38 : 26.844673903279560 % significance loss when removing single variables: variable 2 : corr = 0.34439252339431320 % , sigma = 3.4439252339431321 variable 3 : corr = 4.40587566697958968E-002 % , sigma = 0.44058756669795901 variable 4 : corr = 8.4187685903183720 % , sigma = 84.187685903183720 variable 5 : corr = 2.2995103642580421 % , sigma = 22.995103642580421 variable 6 : corr = 0.20482897177130194 % , sigma = 2.0482897177130193 variable 7 : corr = 13.494642903831162 % , sigma = 134.94642903831161 variable 8 : corr = 16.099860984554230 % , sigma = 160.99860984554229 variable 9 : corr = 1.2356307145928214 % , sigma = 12.356307145928213 variable 10 : corr = 5.6112937270444814 % , sigma = 56.112937270444817 variable 11 : corr = 0.85858243406379264 % , sigma = 8.5858243406379273 variable 12 : corr = 0.92687697686520043 % , sigma = 9.2687697686520050 variable 13 : corr = 2.5043375189412758 % , sigma = 25.043375189412757 variable 14 : corr = 1.6074414589127981 % , sigma = 16.074414589127983 variable 15 : corr = 1.2001762071215278 % , sigma = 12.001762071215280 variable 16 : corr = 0.46105155538353865 % , sigma = 4.6105155538353859 variable 17 : corr = 2.7341246791657010 % , sigma = 27.341246791657010 variable 18 : corr = 0.70259455181558261 % , sigma = 7.0259455181558259 variable 19 : corr = 1.8910303457043012 % , sigma = 18.910303457043010 variable 20 : corr = 2.8940199416665355 % , sigma = 28.940199416665354 variable 21 : corr = 1.0506458808882280 % , sigma = 10.506458808882279 variable 22 : corr = 0.69549231887894025 % , sigma = 6.9549231887894027 variable 23 : corr = 0.33899419066991526 % , sigma = 3.3899419066991530 variable 24 : corr = 0.45179664135972908 % , sigma = 4.5179664135972910 variable 25 : corr = 0.34245499496054421 % , sigma = 3.4245499496054417 variable 26 : corr = 0.20786517764864709 % , sigma = 2.0786517764864709 variable 27 : corr = 0.52714757228067155 % , sigma = 5.2714757228067146 variable 28 : corr = 0.69948106410082644 % , sigma = 6.9948106410082644 variable 29 : corr = 1.4033836307225096 % , sigma = 14.033836307225098 variable 30 : corr = 0.43195830996228307 % , sigma = 4.3195830996228306 variable 31 : corr = 1.7416670305401769 % , sigma = 17.416670305401770 variable 32 : corr = 1.9061042843416971 % , sigma = 19.061042843416971 variable 33 : corr = 1.0412891330621308 % , sigma = 10.412891330621308 variable 34 : corr = 0.75211188150949315 % , sigma = 7.5211188150949306 variable 35 : corr = 2.7814814413521538 % , sigma = 27.814814413521535 variable 36 : corr = 0.70602151285880310 % , sigma = 7.0602151285880304 variable 37 : corr = 0.12981831612520206 % , sigma = 1.2981831612520205 variable 38 : corr = 0.46394111203080818 % , sigma = 4.6394111203080817 Keep only 33 most significant input variables Sum of Weights for output node 2 1000000.00000000000 FLAT2DEF: TAB(KK=1, II= 2 ) = -1.2236263 NVar: 34.000000 5261 --------- Entering internal boost mode: --------- Starting analysis with 53 variables. PREPRO: (sigma of derived input)/eigenvalue # 1 : 2.8386514 PREPRO: (sigma of derived input)/eigenvalue # 2 : 2.4668517 PREPRO: (sigma of derived input)/eigenvalue # 3 : 2.2119374 PREPRO: (sigma of derived input)/eigenvalue # 4 : 2.1196249 PREPRO: (sigma of derived input)/eigenvalue # 5 : 1.9646573 PREPRO: (sigma of derived input)/eigenvalue # 6 : 1.5823010 PREPRO: (sigma of derived input)/eigenvalue # 7 : 1.4725933 PREPRO: (sigma of derived input)/eigenvalue # 8 : 1.3813510 PREPRO: (sigma of derived input)/eigenvalue # 9 : 1.3197031 PREPRO: (sigma of derived input)/eigenvalue # 10 : 1.2379879 PREPRO: (sigma of derived input)/eigenvalue # 11 : 1.1525339 PREPRO: (sigma of derived input)/eigenvalue # 12 : 1.0490736 PREPRO: (sigma of derived input)/eigenvalue # 13 : 1.0392245 PREPRO: (sigma of derived input)/eigenvalue # 14 : 1.0119673 PREPRO: (sigma of derived input)/eigenvalue # 15 : 0.99966466 PREPRO: (sigma of derived input)/eigenvalue # 16 : 0.98518199 PREPRO: (sigma of derived input)/eigenvalue # 17 : 0.95194989 PREPRO: (sigma of derived input)/eigenvalue # 18 : 0.93828547 PREPRO: (sigma of derived input)/eigenvalue # 19 : 0.91452581 PREPRO: (sigma of derived input)/eigenvalue # 20 : 0.85850459 PREPRO: (sigma of derived input)/eigenvalue # 21 : 0.83059031 PREPRO: (sigma of derived input)/eigenvalue # 22 : 0.81533545 PREPRO: (sigma of derived input)/eigenvalue # 23 : 0.75410575 PREPRO: (sigma of derived input)/eigenvalue # 24 : 0.67637604 PREPRO: (sigma of derived input)/eigenvalue # 25 : 0.61299670 PREPRO: (sigma of derived input)/eigenvalue # 26 : 0.60351521 PREPRO: (sigma of derived input)/eigenvalue # 27 : 0.57330024 PREPRO: (sigma of derived input)/eigenvalue # 28 : 0.55011243 PREPRO: (sigma of derived input)/eigenvalue # 29 : 0.51414782 PREPRO: (sigma of derived input)/eigenvalue # 30 : 0.50131029 PREPRO: (sigma of derived input)/eigenvalue # 31 : 0.48537180 PREPRO: (sigma of derived input)/eigenvalue # 32 : 0.47013637 PREPRO: (sigma of derived input)/eigenvalue # 33 : 0.44868216 PREPRO: (sigma of derived input)/eigenvalue # 34 : 0.42555079 PREPRO: (sigma of derived input)/eigenvalue # 35 : 0.40999115 PREPRO: (sigma of derived input)/eigenvalue # 36 : 0.36225575 PREPRO: (sigma of derived input)/eigenvalue # 37 : 0.31297410 PREPRO: (sigma of derived input)/eigenvalue # 38 : 0.30371523 PREPRO: (sigma of derived input)/eigenvalue # 39 : 0.29801577 PREPRO: (sigma of derived input)/eigenvalue # 40 : 0.27684304 PREPRO: (sigma of derived input)/eigenvalue # 41 : 0.24897926 PREPRO: (sigma of derived input)/eigenvalue # 42 : 0.17928758 PREPRO: (sigma of derived input)/eigenvalue # 43 : 0.16079935 PREPRO: (sigma of derived input)/eigenvalue # 44 : 0.11036582 PREPRO: (sigma of derived input)/eigenvalue # 45 : 4.32676665E-04 PREPRO: (sigma of derived input)/eigenvalue # 46 : 2.62901594E-04 PREPRO: (sigma of derived input)/eigenvalue # 47 : 3.69575537E-06 PREPRO: (sigma of derived input)/eigenvalue # 48 : 2.25513099E-06 PREPRO: (sigma of derived input)/eigenvalue # 49 : 4.89965828E-07 PREPRO: (sigma of derived input)/eigenvalue # 50 : 1.95900313E-04 PREPRO: (sigma of derived input)/eigenvalue # 51 : 2.55722203E-04 PREPRO: (sigma of derived input)/eigenvalue # 52 : 2.95021338E-04 PREPRO: (sigma of derived input)/eigenvalue # 53 : 4.36958391E-04 Using 44 variables out of 53 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 26.0 27.0 28.0 29.0 30.0 31.0 32.0 33.0 34.0 35.0 36.0 37.0 38.0 39.0 40.0 41.0 42.0 43.0 44.0 45.0 0 0.8 2.8 2.5 2.2 2.1 2.0 1.6 1.5 1.4 1.3 1.2 1.2 1.0 1.0 1.0 1.0 1.0 1.0 0.9 0.9 0.9 0.8 0.8 0.8 0.7 0.6 0.6 0.6 0.6 0.5 0.5 0.5 0.5 0.4 0.4 0.4 0.4 0.3 0.3 0.3 0.3 0.2 0.2 0.2 0.1 1 100.0 36.1 7.1 52.4 27.6 -0.4 -23.0 -8.2 -4.9 1.2 3.0 9.6 2.1 -9.8 -2.5 -2.0 0.8 2.9 -0.1 0.2 -0.1 3.6 0.6 1.4 3.6 10.9 0.6 -2.6 -7.8 4.6 1.4 6.8 0.1 0.6 -0.4 0.6 0.6 -5.7 1.0 2.0 -17.0 0.9 -0.5 0.7 -0.4 2 36.1 100.0 -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 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 -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 7.1 -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 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 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 52.4 -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 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 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 27.6 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 -0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 -0.0 -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 -0.4 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 0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 -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 -23.0 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 -0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 -0.0 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 -8.2 -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 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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 33 0.1 0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 -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 -0.0 34 0.6 -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 -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 35 -0.4 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 -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 36 0.6 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 -0.0 0.0 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 37 0.6 -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 -0.0 -0.0 0.0 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 38 -5.7 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 -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 39 1.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 0.0 0.0 0.0 0.0 -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 40 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 -0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 -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 41 -17.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 0.0 -0.0 0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 -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 42 0.9 0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 -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 43 -0.5 -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 -0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 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 44 0.7 0.0 0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 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 45 -0.4 -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 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 -0.0 -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) 79.466129115408009 ------------------------------------- Teacher: actual network topology: Nodes(1) = 45 Nodes(2) = 44 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 --> 156.63539 sigma out 44 active outputs RANK 2 NODE 2 --> 144.77710 sigma out 44 active outputs RANK 3 NODE 4 --> 140.40230 sigma out 44 active outputs RANK 4 NODE 3 --> 128.84697 sigma out 44 active outputs RANK 5 NODE 5 --> 117.85465 sigma out 44 active outputs RANK 6 NODE 6 --> 103.20752 sigma out 44 active outputs RANK 7 NODE 15 --> 86.886642 sigma out 44 active outputs RANK 8 NODE 7 --> 85.838432 sigma out 44 active outputs RANK 9 NODE 9 --> 85.425034 sigma out 44 active outputs RANK 10 NODE 12 --> 82.167320 sigma out 44 active outputs RANK 11 NODE 26 --> 77.657066 sigma out 44 active outputs RANK 12 NODE 10 --> 74.751526 sigma out 44 active outputs RANK 13 NODE 14 --> 74.595779 sigma out 44 active outputs RANK 14 NODE 25 --> 72.389725 sigma out 44 active outputs RANK 15 NODE 38 --> 71.974831 sigma out 44 active outputs RANK 16 NODE 17 --> 70.408760 sigma out 44 active outputs RANK 17 NODE 23 --> 68.250053 sigma out 44 active outputs RANK 18 NODE 13 --> 67.525925 sigma out 44 active outputs RANK 19 NODE 19 --> 66.922440 sigma out 44 active outputs RANK 20 NODE 30 --> 66.519890 sigma out 44 active outputs RANK 21 NODE 20 --> 66.296967 sigma out 44 active outputs RANK 22 NODE 16 --> 65.312279 sigma out 44 active outputs RANK 23 NODE 8 --> 64.730080 sigma out 44 active outputs RANK 24 NODE 34 --> 64.660774 sigma out 44 active outputs RANK 25 NODE 31 --> 63.487804 sigma out 44 active outputs RANK 26 NODE 35 --> 63.141319 sigma out 44 active outputs RANK 27 NODE 29 --> 62.869156 sigma out 44 active outputs RANK 28 NODE 21 --> 62.605976 sigma out 44 active outputs RANK 29 NODE 41 --> 62.455486 sigma out 44 active outputs RANK 30 NODE 28 --> 61.540516 sigma out 44 active outputs RANK 31 NODE 27 --> 61.357025 sigma out 44 active outputs RANK 32 NODE 22 --> 60.762974 sigma out 44 active outputs RANK 33 NODE 11 --> 59.630474 sigma out 44 active outputs RANK 34 NODE 45 --> 59.580399 sigma out 44 active outputs RANK 35 NODE 39 --> 59.006256 sigma out 44 active outputs RANK 36 NODE 42 --> 57.240887 sigma out 44 active outputs RANK 37 NODE 24 --> 56.476696 sigma out 44 active outputs RANK 38 NODE 40 --> 55.906799 sigma out 44 active outputs RANK 39 NODE 32 --> 55.724888 sigma out 44 active outputs RANK 40 NODE 36 --> 54.834129 sigma out 44 active outputs RANK 41 NODE 37 --> 52.622307 sigma out 44 active outputs RANK 42 NODE 18 --> 51.855461 sigma out 44 active outputs RANK 43 NODE 43 --> 51.023678 sigma out 44 active outputs RANK 44 NODE 33 --> 49.943634 sigma out 44 active outputs RANK 45 NODE 44 --> 42.665176 sigma out 44 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 168.51964 sigma in 45 act. ( 167.15800 sig out 1 act.) RANK 2 NODE 18 --> 133.85945 sigma in 45 act. ( 127.78185 sig out 1 act.) RANK 3 NODE 13 --> 122.76423 sigma in 45 act. ( 122.06366 sig out 1 act.) RANK 4 NODE 24 --> 116.97534 sigma in 45 act. ( 126.93552 sig out 1 act.) RANK 5 NODE 33 --> 98.167366 sigma in 45 act. ( 99.955666 sig out 1 act.) RANK 6 NODE 6 --> 97.280403 sigma in 45 act. ( 97.212677 sig out 1 act.) RANK 7 NODE 28 --> 94.177841 sigma in 45 act. ( 103.10082 sig out 1 act.) RANK 8 NODE 40 --> 89.215981 sigma in 45 act. ( 90.770821 sig out 1 act.) RANK 9 NODE 34 --> 87.587654 sigma in 45 act. ( 90.789696 sig out 1 act.) RANK 10 NODE 22 --> 87.583046 sigma in 45 act. ( 80.062653 sig out 1 act.) RANK 11 NODE 32 --> 86.161362 sigma in 45 act. ( 86.393005 sig out 1 act.) RANK 12 NODE 31 --> 83.500206 sigma in 45 act. ( 87.524963 sig out 1 act.) RANK 13 NODE 21 --> 82.787415 sigma in 45 act. ( 88.821999 sig out 1 act.) RANK 14 NODE 30 --> 82.660133 sigma in 45 act. ( 69.306335 sig out 1 act.) RANK 15 NODE 23 --> 81.474731 sigma in 45 act. ( 85.352615 sig out 1 act.) RANK 16 NODE 42 --> 81.471909 sigma in 45 act. ( 68.928787 sig out 1 act.) RANK 17 NODE 11 --> 77.259010 sigma in 45 act. ( 53.293694 sig out 1 act.) RANK 18 NODE 36 --> 71.122513 sigma in 45 act. ( 60.401020 sig out 1 act.) RANK 19 NODE 25 --> 70.191292 sigma in 45 act. ( 48.394173 sig out 1 act.) RANK 20 NODE 38 --> 67.112022 sigma in 45 act. ( 59.092079 sig out 1 act.) RANK 21 NODE 10 --> 67.097023 sigma in 45 act. ( 62.792957 sig out 1 act.) RANK 22 NODE 39 --> 66.977333 sigma in 45 act. ( 37.949497 sig out 1 act.) RANK 23 NODE 15 --> 66.843063 sigma in 45 act. ( 63.421211 sig out 1 act.) RANK 24 NODE 17 --> 65.903786 sigma in 45 act. ( 57.045288 sig out 1 act.) RANK 25 NODE 41 --> 65.130333 sigma in 45 act. ( 52.967648 sig out 1 act.) RANK 26 NODE 44 --> 64.537361 sigma in 45 act. ( 21.369913 sig out 1 act.) RANK 27 NODE 37 --> 63.964882 sigma in 45 act. ( 17.547743 sig out 1 act.) RANK 28 NODE 19 --> 61.792706 sigma in 45 act. ( 52.170231 sig out 1 act.) RANK 29 NODE 43 --> 61.370571 sigma in 45 act. ( 11.825230 sig out 1 act.) RANK 30 NODE 1 --> 59.003613 sigma in 45 act. ( 47.055870 sig out 1 act.) RANK 31 NODE 20 --> 58.462418 sigma in 45 act. ( 53.011784 sig out 1 act.) RANK 32 NODE 12 --> 58.164474 sigma in 45 act. ( 13.638176 sig out 1 act.) RANK 33 NODE 29 --> 57.985695 sigma in 45 act. ( 37.273106 sig out 1 act.) RANK 34 NODE 5 --> 57.516426 sigma in 45 act. ( 17.502142 sig out 1 act.) RANK 35 NODE 7 --> 57.184341 sigma in 45 act. ( 23.229149 sig out 1 act.) RANK 36 NODE 35 --> 56.687454 sigma in 45 act. ( 34.218990 sig out 1 act.) RANK 37 NODE 27 --> 56.136841 sigma in 45 act. ( 8.4406080 sig out 1 act.) RANK 38 NODE 3 --> 55.660679 sigma in 45 act. ( 1.6328549 sig out 1 act.) RANK 39 NODE 8 --> 54.998386 sigma in 45 act. ( 39.516991 sig out 1 act.) RANK 40 NODE 2 --> 54.605213 sigma in 45 act. ( 5.0744710 sig out 1 act.) RANK 41 NODE 26 --> 53.698761 sigma in 45 act. ( 29.293097 sig out 1 act.) RANK 42 NODE 16 --> 53.433182 sigma in 45 act. ( 5.9337854 sig out 1 act.) RANK 43 NODE 9 --> 52.484966 sigma in 45 act. ( 22.863724 sig out 1 act.) RANK 44 NODE 4 --> 50.053303 sigma in 45 act. ( 14.672147 sig out 1 act.) sorted by output significance RANK 1 NODE 14 --> 167.15800 sigma out 1 act.( 168.51964 sig in 45 act.) RANK 2 NODE 18 --> 127.78185 sigma out 1 act.( 133.85945 sig in 45 act.) RANK 3 NODE 24 --> 126.93552 sigma out 1 act.( 116.97534 sig in 45 act.) RANK 4 NODE 13 --> 122.06366 sigma out 1 act.( 122.76423 sig in 45 act.) RANK 5 NODE 28 --> 103.10082 sigma out 1 act.( 94.177841 sig in 45 act.) RANK 6 NODE 33 --> 99.955666 sigma out 1 act.( 98.167366 sig in 45 act.) RANK 7 NODE 6 --> 97.212677 sigma out 1 act.( 97.280403 sig in 45 act.) RANK 8 NODE 34 --> 90.789696 sigma out 1 act.( 87.587654 sig in 45 act.) RANK 9 NODE 40 --> 90.770821 sigma out 1 act.( 89.215981 sig in 45 act.) RANK 10 NODE 21 --> 88.821999 sigma out 1 act.( 82.787415 sig in 45 act.) RANK 11 NODE 31 --> 87.524963 sigma out 1 act.( 83.500206 sig in 45 act.) RANK 12 NODE 32 --> 86.393005 sigma out 1 act.( 86.161362 sig in 45 act.) RANK 13 NODE 23 --> 85.352615 sigma out 1 act.( 81.474731 sig in 45 act.) RANK 14 NODE 22 --> 80.062653 sigma out 1 act.( 87.583046 sig in 45 act.) RANK 15 NODE 30 --> 69.306335 sigma out 1 act.( 82.660133 sig in 45 act.) RANK 16 NODE 42 --> 68.928787 sigma out 1 act.( 81.471909 sig in 45 act.) RANK 17 NODE 15 --> 63.421211 sigma out 1 act.( 66.843063 sig in 45 act.) RANK 18 NODE 10 --> 62.792957 sigma out 1 act.( 67.097023 sig in 45 act.) RANK 19 NODE 36 --> 60.401020 sigma out 1 act.( 71.122513 sig in 45 act.) RANK 20 NODE 38 --> 59.092079 sigma out 1 act.( 67.112022 sig in 45 act.) RANK 21 NODE 17 --> 57.045288 sigma out 1 act.( 65.903786 sig in 45 act.) RANK 22 NODE 11 --> 53.293694 sigma out 1 act.( 77.259010 sig in 45 act.) RANK 23 NODE 20 --> 53.011784 sigma out 1 act.( 58.462418 sig in 45 act.) RANK 24 NODE 41 --> 52.967648 sigma out 1 act.( 65.130333 sig in 45 act.) RANK 25 NODE 19 --> 52.170231 sigma out 1 act.( 61.792706 sig in 45 act.) RANK 26 NODE 25 --> 48.394173 sigma out 1 act.( 70.191292 sig in 45 act.) RANK 27 NODE 1 --> 47.055870 sigma out 1 act.( 59.003613 sig in 45 act.) RANK 28 NODE 8 --> 39.516991 sigma out 1 act.( 54.998386 sig in 45 act.) RANK 29 NODE 39 --> 37.949497 sigma out 1 act.( 66.977333 sig in 45 act.) RANK 30 NODE 29 --> 37.273106 sigma out 1 act.( 57.985695 sig in 45 act.) RANK 31 NODE 35 --> 34.218990 sigma out 1 act.( 56.687454 sig in 45 act.) RANK 32 NODE 26 --> 29.293097 sigma out 1 act.( 53.698761 sig in 45 act.) RANK 33 NODE 7 --> 23.229149 sigma out 1 act.( 57.184341 sig in 45 act.) RANK 34 NODE 9 --> 22.863724 sigma out 1 act.( 52.484966 sig in 45 act.) RANK 35 NODE 44 --> 21.369913 sigma out 1 act.( 64.537361 sig in 45 act.) RANK 36 NODE 37 --> 17.547743 sigma out 1 act.( 63.964882 sig in 45 act.) RANK 37 NODE 5 --> 17.502142 sigma out 1 act.( 57.516426 sig in 45 act.) RANK 38 NODE 4 --> 14.672147 sigma out 1 act.( 50.053303 sig in 45 act.) RANK 39 NODE 12 --> 13.638176 sigma out 1 act.( 58.164474 sig in 45 act.) RANK 40 NODE 43 --> 11.825230 sigma out 1 act.( 61.370571 sig in 45 act.) RANK 41 NODE 27 --> 8.4406080 sigma out 1 act.( 56.136841 sig in 45 act.) RANK 42 NODE 16 --> 5.9337854 sigma out 1 act.( 53.433182 sig in 45 act.) RANK 43 NODE 2 --> 5.0744710 sigma out 1 act.( 54.605213 sig in 45 act.) RANK 44 NODE 3 --> 1.6328549 sigma out 1 act.( 55.660679 sig in 45 act.) RANK 1 NODE 1 --> 459.80621 sigma in 44 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 176.84471 sigma out 44 active outputs RANK 2 NODE 2 --> 156.61125 sigma out 44 active outputs RANK 3 NODE 4 --> 138.26205 sigma out 44 active outputs RANK 4 NODE 3 --> 129.55312 sigma out 44 active outputs RANK 5 NODE 5 --> 114.74400 sigma out 44 active outputs RANK 6 NODE 6 --> 100.49872 sigma out 44 active outputs RANK 7 NODE 7 --> 69.746170 sigma out 44 active outputs RANK 8 NODE 9 --> 68.808220 sigma out 44 active outputs RANK 9 NODE 15 --> 65.204475 sigma out 44 active outputs RANK 10 NODE 12 --> 64.593384 sigma out 44 active outputs RANK 11 NODE 10 --> 61.491245 sigma out 44 active outputs RANK 12 NODE 17 --> 60.246128 sigma out 44 active outputs RANK 13 NODE 14 --> 58.243576 sigma out 44 active outputs RANK 14 NODE 8 --> 56.396542 sigma out 44 active outputs RANK 15 NODE 13 --> 50.153118 sigma out 44 active outputs RANK 16 NODE 26 --> 48.268772 sigma out 44 active outputs RANK 17 NODE 11 --> 44.476322 sigma out 44 active outputs RANK 18 NODE 25 --> 44.233707 sigma out 44 active outputs RANK 19 NODE 19 --> 43.695602 sigma out 44 active outputs RANK 20 NODE 20 --> 43.593800 sigma out 44 active outputs RANK 21 NODE 23 --> 43.283604 sigma out 44 active outputs RANK 22 NODE 21 --> 37.749702 sigma out 44 active outputs RANK 23 NODE 18 --> 37.105576 sigma out 44 active outputs RANK 24 NODE 22 --> 35.986992 sigma out 44 active outputs RANK 25 NODE 30 --> 35.622921 sigma out 44 active outputs RANK 26 NODE 29 --> 35.553600 sigma out 44 active outputs RANK 27 NODE 24 --> 35.342056 sigma out 44 active outputs RANK 28 NODE 16 --> 34.409176 sigma out 44 active outputs RANK 29 NODE 28 --> 31.745811 sigma out 44 active outputs RANK 30 NODE 27 --> 30.771011 sigma out 44 active outputs RANK 31 NODE 38 --> 27.853779 sigma out 44 active outputs RANK 32 NODE 35 --> 27.388309 sigma out 44 active outputs RANK 33 NODE 34 --> 24.214354 sigma out 44 active outputs RANK 34 NODE 32 --> 23.916658 sigma out 44 active outputs RANK 35 NODE 31 --> 23.438990 sigma out 44 active outputs RANK 36 NODE 33 --> 20.605856 sigma out 44 active outputs RANK 37 NODE 37 --> 20.134085 sigma out 44 active outputs RANK 38 NODE 39 --> 19.333754 sigma out 44 active outputs RANK 39 NODE 40 --> 18.910574 sigma out 44 active outputs RANK 40 NODE 41 --> 18.639257 sigma out 44 active outputs RANK 41 NODE 36 --> 17.858734 sigma out 44 active outputs RANK 42 NODE 42 --> 16.701641 sigma out 44 active outputs RANK 43 NODE 43 --> 10.734764 sigma out 44 active outputs RANK 44 NODE 45 --> 6.7382278 sigma out 44 active outputs RANK 45 NODE 44 --> 6.0012531 sigma out 44 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 180.58746 sigma in 45 act. ( 130.99821 sig out 1 act.) RANK 2 NODE 18 --> 132.93742 sigma in 45 act. ( 94.973053 sig out 1 act.) RANK 3 NODE 13 --> 125.01333 sigma in 45 act. ( 98.576714 sig out 1 act.) RANK 4 NODE 24 --> 116.39710 sigma in 45 act. ( 95.553513 sig out 1 act.) RANK 5 NODE 6 --> 94.706429 sigma in 45 act. ( 72.473648 sig out 1 act.) RANK 6 NODE 33 --> 89.346497 sigma in 45 act. ( 79.134720 sig out 1 act.) RANK 7 NODE 28 --> 80.826233 sigma in 45 act. ( 85.450562 sig out 1 act.) RANK 8 NODE 34 --> 78.891258 sigma in 45 act. ( 71.992889 sig out 1 act.) RANK 9 NODE 40 --> 77.851059 sigma in 45 act. ( 68.625885 sig out 1 act.) RANK 10 NODE 32 --> 74.412201 sigma in 45 act. ( 68.398010 sig out 1 act.) RANK 11 NODE 21 --> 72.234505 sigma in 45 act. ( 71.842949 sig out 1 act.) RANK 12 NODE 31 --> 69.488525 sigma in 45 act. ( 68.896988 sig out 1 act.) RANK 13 NODE 23 --> 68.806633 sigma in 45 act. ( 62.764542 sig out 1 act.) RANK 14 NODE 22 --> 68.583267 sigma in 45 act. ( 62.907887 sig out 1 act.) RANK 15 NODE 30 --> 63.025654 sigma in 45 act. ( 55.220242 sig out 1 act.) RANK 16 NODE 42 --> 56.332123 sigma in 45 act. ( 52.657761 sig out 1 act.) RANK 17 NODE 10 --> 55.015797 sigma in 45 act. ( 46.122307 sig out 1 act.) RANK 18 NODE 17 --> 52.497749 sigma in 45 act. ( 42.421406 sig out 1 act.) RANK 19 NODE 15 --> 51.496510 sigma in 45 act. ( 48.715736 sig out 1 act.) RANK 20 NODE 36 --> 50.961803 sigma in 45 act. ( 48.171734 sig out 1 act.) RANK 21 NODE 38 --> 50.645504 sigma in 45 act. ( 44.393177 sig out 1 act.) RANK 22 NODE 11 --> 46.239594 sigma in 45 act. ( 42.145416 sig out 1 act.) RANK 23 NODE 41 --> 43.458755 sigma in 45 act. ( 42.221161 sig out 1 act.) RANK 24 NODE 19 --> 42.471306 sigma in 45 act. ( 39.434330 sig out 1 act.) RANK 25 NODE 25 --> 42.070721 sigma in 45 act. ( 38.223442 sig out 1 act.) RANK 26 NODE 1 --> 41.105000 sigma in 45 act. ( 36.056934 sig out 1 act.) RANK 27 NODE 20 --> 39.415325 sigma in 45 act. ( 41.444218 sig out 1 act.) RANK 28 NODE 8 --> 33.101948 sigma in 45 act. ( 31.590300 sig out 1 act.) RANK 29 NODE 29 --> 32.936722 sigma in 45 act. ( 27.949369 sig out 1 act.) RANK 30 NODE 35 --> 28.582541 sigma in 45 act. ( 25.961206 sig out 1 act.) RANK 31 NODE 39 --> 27.097073 sigma in 45 act. ( 31.721508 sig out 1 act.) RANK 32 NODE 26 --> 24.434496 sigma in 45 act. ( 20.583733 sig out 1 act.) RANK 33 NODE 44 --> 18.901426 sigma in 45 act. ( 17.113914 sig out 1 act.) RANK 34 NODE 7 --> 18.547768 sigma in 45 act. ( 18.389185 sig out 1 act.) RANK 35 NODE 9 --> 18.263554 sigma in 45 act. ( 18.473915 sig out 1 act.) RANK 36 NODE 5 --> 15.933048 sigma in 45 act. ( 13.277369 sig out 1 act.) RANK 37 NODE 37 --> 15.538966 sigma in 45 act. ( 14.065543 sig out 1 act.) RANK 38 NODE 4 --> 12.686046 sigma in 45 act. ( 11.315200 sig out 1 act.) RANK 39 NODE 12 --> 12.200718 sigma in 45 act. ( 10.655928 sig out 1 act.) RANK 40 NODE 43 --> 11.809970 sigma in 45 act. ( 9.1487885 sig out 1 act.) RANK 41 NODE 27 --> 9.0882301 sigma in 45 act. ( 6.6400900 sig out 1 act.) RANK 42 NODE 3 --> 7.8573608 sigma in 45 act. ( 1.2610060 sig out 1 act.) RANK 43 NODE 16 --> 7.3973322 sigma in 45 act. ( 4.5661092 sig out 1 act.) RANK 44 NODE 2 --> 6.8486147 sigma in 45 act. ( 3.8960347 sig out 1 act.) sorted by output significance RANK 1 NODE 14 --> 130.99821 sigma out 1 act.( 180.58746 sig in 45 act.) RANK 2 NODE 13 --> 98.576714 sigma out 1 act.( 125.01333 sig in 45 act.) RANK 3 NODE 24 --> 95.553513 sigma out 1 act.( 116.39710 sig in 45 act.) RANK 4 NODE 18 --> 94.973053 sigma out 1 act.( 132.93742 sig in 45 act.) RANK 5 NODE 28 --> 85.450562 sigma out 1 act.( 80.826233 sig in 45 act.) RANK 6 NODE 33 --> 79.134720 sigma out 1 act.( 89.346497 sig in 45 act.) RANK 7 NODE 6 --> 72.473648 sigma out 1 act.( 94.706429 sig in 45 act.) RANK 8 NODE 34 --> 71.992889 sigma out 1 act.( 78.891258 sig in 45 act.) RANK 9 NODE 21 --> 71.842949 sigma out 1 act.( 72.234505 sig in 45 act.) RANK 10 NODE 31 --> 68.896988 sigma out 1 act.( 69.488525 sig in 45 act.) RANK 11 NODE 40 --> 68.625885 sigma out 1 act.( 77.851059 sig in 45 act.) RANK 12 NODE 32 --> 68.398010 sigma out 1 act.( 74.412201 sig in 45 act.) RANK 13 NODE 22 --> 62.907887 sigma out 1 act.( 68.583267 sig in 45 act.) RANK 14 NODE 23 --> 62.764542 sigma out 1 act.( 68.806633 sig in 45 act.) RANK 15 NODE 30 --> 55.220242 sigma out 1 act.( 63.025654 sig in 45 act.) RANK 16 NODE 42 --> 52.657761 sigma out 1 act.( 56.332123 sig in 45 act.) RANK 17 NODE 15 --> 48.715736 sigma out 1 act.( 51.496510 sig in 45 act.) RANK 18 NODE 36 --> 48.171734 sigma out 1 act.( 50.961803 sig in 45 act.) RANK 19 NODE 10 --> 46.122307 sigma out 1 act.( 55.015797 sig in 45 act.) RANK 20 NODE 38 --> 44.393177 sigma out 1 act.( 50.645504 sig in 45 act.) RANK 21 NODE 17 --> 42.421406 sigma out 1 act.( 52.497749 sig in 45 act.) RANK 22 NODE 41 --> 42.221161 sigma out 1 act.( 43.458755 sig in 45 act.) RANK 23 NODE 11 --> 42.145416 sigma out 1 act.( 46.239594 sig in 45 act.) RANK 24 NODE 20 --> 41.444218 sigma out 1 act.( 39.415325 sig in 45 act.) RANK 25 NODE 19 --> 39.434330 sigma out 1 act.( 42.471306 sig in 45 act.) RANK 26 NODE 25 --> 38.223442 sigma out 1 act.( 42.070721 sig in 45 act.) RANK 27 NODE 1 --> 36.056934 sigma out 1 act.( 41.105000 sig in 45 act.) RANK 28 NODE 39 --> 31.721508 sigma out 1 act.( 27.097073 sig in 45 act.) RANK 29 NODE 8 --> 31.590300 sigma out 1 act.( 33.101948 sig in 45 act.) RANK 30 NODE 29 --> 27.949369 sigma out 1 act.( 32.936722 sig in 45 act.) RANK 31 NODE 35 --> 25.961206 sigma out 1 act.( 28.582541 sig in 45 act.) RANK 32 NODE 26 --> 20.583733 sigma out 1 act.( 24.434496 sig in 45 act.) RANK 33 NODE 9 --> 18.473915 sigma out 1 act.( 18.263554 sig in 45 act.) RANK 34 NODE 7 --> 18.389185 sigma out 1 act.( 18.547768 sig in 45 act.) RANK 35 NODE 44 --> 17.113914 sigma out 1 act.( 18.901426 sig in 45 act.) RANK 36 NODE 37 --> 14.065543 sigma out 1 act.( 15.538966 sig in 45 act.) RANK 37 NODE 5 --> 13.277369 sigma out 1 act.( 15.933048 sig in 45 act.) RANK 38 NODE 4 --> 11.315200 sigma out 1 act.( 12.686046 sig in 45 act.) RANK 39 NODE 12 --> 10.655928 sigma out 1 act.( 12.200718 sig in 45 act.) RANK 40 NODE 43 --> 9.1487885 sigma out 1 act.( 11.809970 sig in 45 act.) RANK 41 NODE 27 --> 6.6400900 sigma out 1 act.( 9.0882301 sig in 45 act.) RANK 42 NODE 16 --> 4.5661092 sigma out 1 act.( 7.3973322 sig in 45 act.) RANK 43 NODE 2 --> 3.8960347 sigma out 1 act.( 6.8486147 sig in 45 act.) RANK 44 NODE 3 --> 1.2610060 sigma out 1 act.( 7.8573608 sig in 45 act.) RANK 1 NODE 1 --> 357.57962 sigma in 44 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.46621838 *** contribution from regularisation: 1.13901787E-03 *** contribution from error: -0.46735740 *** contribution from DIAG: 2.14795378E-04 *********************************************** --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.49453005 *** contribution from regularisation: 3.41432705E-03 *** contribution from error: -0.49794438 *** contribution from DIAG: 1.11051246E-04 *********************************************** --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.49646536 *** contribution from regularisation: 2.51431577E-03 *** contribution from error: -0.49897966 *** contribution from DIAG: 1.47467901E-04 *********************************************** --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.45782837 *** contribution from regularisation: 2.78324145E-03 *** contribution from error: -0.46061161 *** contribution from DIAG: 3.99268139E-03 *********************************************** --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.49522048 *** contribution from regularisation: 2.80131353E-03 *** contribution from error: -0.49802178 *** contribution from DIAG: 2.46242940E-04 *********************************************** --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.49650782 *** contribution from regularisation: 2.82511883E-03 *** contribution from error: -0.49933293 *** contribution from DIAG: 1.34500573E-04 *********************************************** --------------------------------------------------- Iteration : 100 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 180.61896 sigma out 44 active outputs RANK 2 NODE 2 --> 163.88066 sigma out 44 active outputs RANK 3 NODE 4 --> 144.41771 sigma out 44 active outputs RANK 4 NODE 3 --> 131.38124 sigma out 44 active outputs RANK 5 NODE 5 --> 115.72050 sigma out 44 active outputs RANK 6 NODE 6 --> 100.92564 sigma out 44 active outputs RANK 7 NODE 7 --> 70.617577 sigma out 44 active outputs RANK 8 NODE 9 --> 69.764877 sigma out 44 active outputs RANK 9 NODE 15 --> 67.188866 sigma out 44 active outputs RANK 10 NODE 12 --> 65.701561 sigma out 44 active outputs RANK 11 NODE 10 --> 63.075558 sigma out 44 active outputs RANK 12 NODE 17 --> 62.640213 sigma out 44 active outputs RANK 13 NODE 14 --> 60.199120 sigma out 44 active outputs RANK 14 NODE 8 --> 57.507599 sigma out 44 active outputs RANK 15 NODE 26 --> 52.775036 sigma out 44 active outputs RANK 16 NODE 13 --> 51.408829 sigma out 44 active outputs RANK 17 NODE 25 --> 46.590126 sigma out 44 active outputs RANK 18 NODE 11 --> 45.872425 sigma out 44 active outputs RANK 19 NODE 20 --> 45.264359 sigma out 44 active outputs RANK 20 NODE 19 --> 45.221840 sigma out 44 active outputs RANK 21 NODE 23 --> 44.745880 sigma out 44 active outputs RANK 22 NODE 21 --> 39.500195 sigma out 44 active outputs RANK 23 NODE 18 --> 38.616306 sigma out 44 active outputs RANK 24 NODE 22 --> 38.278019 sigma out 44 active outputs RANK 25 NODE 30 --> 37.992897 sigma out 44 active outputs RANK 26 NODE 29 --> 37.975731 sigma out 44 active outputs RANK 27 NODE 24 --> 36.909039 sigma out 44 active outputs RANK 28 NODE 16 --> 36.511253 sigma out 44 active outputs RANK 29 NODE 28 --> 34.257244 sigma out 44 active outputs RANK 30 NODE 27 --> 32.616806 sigma out 44 active outputs RANK 31 NODE 38 --> 30.052441 sigma out 44 active outputs RANK 32 NODE 35 --> 29.230619 sigma out 44 active outputs RANK 33 NODE 32 --> 26.295502 sigma out 44 active outputs RANK 34 NODE 34 --> 25.956581 sigma out 44 active outputs RANK 35 NODE 31 --> 25.617331 sigma out 44 active outputs RANK 36 NODE 41 --> 24.034914 sigma out 44 active outputs RANK 37 NODE 33 --> 22.728451 sigma out 44 active outputs RANK 38 NODE 37 --> 22.224981 sigma out 44 active outputs RANK 39 NODE 39 --> 21.574894 sigma out 44 active outputs RANK 40 NODE 40 --> 21.062483 sigma out 44 active outputs RANK 41 NODE 36 --> 20.159872 sigma out 44 active outputs RANK 42 NODE 42 --> 19.341549 sigma out 44 active outputs RANK 43 NODE 43 --> 13.460818 sigma out 44 active outputs RANK 44 NODE 45 --> 9.6792545 sigma out 44 active outputs RANK 45 NODE 44 --> 9.0614357 sigma out 44 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 185.94667 sigma in 45 act. ( 132.88988 sig out 1 act.) RANK 2 NODE 18 --> 137.33514 sigma in 45 act. ( 96.775543 sig out 1 act.) RANK 3 NODE 13 --> 130.49658 sigma in 45 act. ( 101.51481 sig out 1 act.) RANK 4 NODE 24 --> 120.52833 sigma in 45 act. ( 98.228722 sig out 1 act.) RANK 5 NODE 6 --> 96.600136 sigma in 45 act. ( 73.343460 sig out 1 act.) RANK 6 NODE 33 --> 91.240242 sigma in 45 act. ( 79.434998 sig out 1 act.) RANK 7 NODE 28 --> 83.240456 sigma in 45 act. ( 87.005890 sig out 1 act.) RANK 8 NODE 34 --> 81.438316 sigma in 45 act. ( 73.103355 sig out 1 act.) RANK 9 NODE 40 --> 80.559181 sigma in 45 act. ( 69.459755 sig out 1 act.) RANK 10 NODE 32 --> 75.143303 sigma in 45 act. ( 68.805954 sig out 1 act.) RANK 11 NODE 21 --> 73.470551 sigma in 45 act. ( 71.745171 sig out 1 act.) RANK 12 NODE 22 --> 71.169579 sigma in 45 act. ( 64.313332 sig out 1 act.) RANK 13 NODE 31 --> 71.116028 sigma in 45 act. ( 68.735794 sig out 1 act.) RANK 14 NODE 23 --> 70.877510 sigma in 45 act. ( 62.857990 sig out 1 act.) RANK 15 NODE 30 --> 63.458847 sigma in 45 act. ( 54.955139 sig out 1 act.) RANK 16 NODE 10 --> 57.670883 sigma in 45 act. ( 47.403389 sig out 1 act.) RANK 17 NODE 42 --> 55.907795 sigma in 45 act. ( 51.632267 sig out 1 act.) RANK 18 NODE 17 --> 55.263477 sigma in 45 act. ( 44.220173 sig out 1 act.) RANK 19 NODE 15 --> 53.742474 sigma in 45 act. ( 49.929268 sig out 1 act.) RANK 20 NODE 38 --> 53.128876 sigma in 45 act. ( 45.879757 sig out 1 act.) RANK 21 NODE 36 --> 52.119667 sigma in 45 act. ( 48.688660 sig out 1 act.) RANK 22 NODE 11 --> 46.778160 sigma in 45 act. ( 41.333195 sig out 1 act.) RANK 23 NODE 41 --> 44.723190 sigma in 45 act. ( 42.575382 sig out 1 act.) RANK 24 NODE 19 --> 43.126686 sigma in 45 act. ( 38.814919 sig out 1 act.) RANK 25 NODE 25 --> 42.744678 sigma in 45 act. ( 38.114090 sig out 1 act.) RANK 26 NODE 1 --> 42.256615 sigma in 45 act. ( 36.340057 sig out 1 act.) RANK 27 NODE 20 --> 40.940872 sigma in 45 act. ( 42.114697 sig out 1 act.) RANK 28 NODE 29 --> 34.526382 sigma in 45 act. ( 28.121130 sig out 1 act.) RANK 29 NODE 8 --> 33.895576 sigma in 45 act. ( 31.953293 sig out 1 act.) RANK 30 NODE 39 --> 30.029667 sigma in 45 act. ( 33.693493 sig out 1 act.) RANK 31 NODE 35 --> 29.954805 sigma in 45 act. ( 26.192005 sig out 1 act.) RANK 32 NODE 26 --> 26.064396 sigma in 45 act. ( 21.100403 sig out 1 act.) RANK 33 NODE 44 --> 21.984005 sigma in 45 act. ( 18.079189 sig out 1 act.) RANK 34 NODE 7 --> 20.949839 sigma in 45 act. ( 18.940842 sig out 1 act.) RANK 35 NODE 9 --> 19.889196 sigma in 45 act. ( 18.635223 sig out 1 act.) RANK 36 NODE 5 --> 19.064978 sigma in 45 act. ( 14.140167 sig out 1 act.) RANK 37 NODE 37 --> 17.883400 sigma in 45 act. ( 13.514014 sig out 1 act.) RANK 38 NODE 43 --> 15.603287 sigma in 45 act. ( 9.7952642 sig out 1 act.) RANK 39 NODE 12 --> 15.578322 sigma in 45 act. ( 10.868886 sig out 1 act.) RANK 40 NODE 4 --> 14.422733 sigma in 45 act. ( 10.990101 sig out 1 act.) RANK 41 NODE 27 --> 12.285328 sigma in 45 act. ( 6.6503406 sig out 1 act.) RANK 42 NODE 3 --> 11.625619 sigma in 45 act. ( 0.96926206 sig out 1 act.) RANK 43 NODE 16 --> 11.450940 sigma in 45 act. ( 4.9584184 sig out 1 act.) RANK 44 NODE 2 --> 10.981261 sigma in 45 act. ( 4.1512280 sig out 1 act.) sorted by output significance RANK 1 NODE 14 --> 132.88988 sigma out 1 act.( 185.94667 sig in 45 act.) RANK 2 NODE 13 --> 101.51481 sigma out 1 act.( 130.49658 sig in 45 act.) RANK 3 NODE 24 --> 98.228722 sigma out 1 act.( 120.52833 sig in 45 act.) RANK 4 NODE 18 --> 96.775543 sigma out 1 act.( 137.33514 sig in 45 act.) RANK 5 NODE 28 --> 87.005890 sigma out 1 act.( 83.240456 sig in 45 act.) RANK 6 NODE 33 --> 79.434998 sigma out 1 act.( 91.240242 sig in 45 act.) RANK 7 NODE 6 --> 73.343460 sigma out 1 act.( 96.600136 sig in 45 act.) RANK 8 NODE 34 --> 73.103355 sigma out 1 act.( 81.438316 sig in 45 act.) RANK 9 NODE 21 --> 71.745171 sigma out 1 act.( 73.470551 sig in 45 act.) RANK 10 NODE 40 --> 69.459755 sigma out 1 act.( 80.559181 sig in 45 act.) RANK 11 NODE 32 --> 68.805954 sigma out 1 act.( 75.143303 sig in 45 act.) RANK 12 NODE 31 --> 68.735794 sigma out 1 act.( 71.116028 sig in 45 act.) RANK 13 NODE 22 --> 64.313332 sigma out 1 act.( 71.169579 sig in 45 act.) RANK 14 NODE 23 --> 62.857990 sigma out 1 act.( 70.877510 sig in 45 act.) RANK 15 NODE 30 --> 54.955139 sigma out 1 act.( 63.458847 sig in 45 act.) RANK 16 NODE 42 --> 51.632267 sigma out 1 act.( 55.907795 sig in 45 act.) RANK 17 NODE 15 --> 49.929268 sigma out 1 act.( 53.742474 sig in 45 act.) RANK 18 NODE 36 --> 48.688660 sigma out 1 act.( 52.119667 sig in 45 act.) RANK 19 NODE 10 --> 47.403389 sigma out 1 act.( 57.670883 sig in 45 act.) RANK 20 NODE 38 --> 45.879757 sigma out 1 act.( 53.128876 sig in 45 act.) RANK 21 NODE 17 --> 44.220173 sigma out 1 act.( 55.263477 sig in 45 act.) RANK 22 NODE 41 --> 42.575382 sigma out 1 act.( 44.723190 sig in 45 act.) RANK 23 NODE 20 --> 42.114697 sigma out 1 act.( 40.940872 sig in 45 act.) RANK 24 NODE 11 --> 41.333195 sigma out 1 act.( 46.778160 sig in 45 act.) RANK 25 NODE 19 --> 38.814919 sigma out 1 act.( 43.126686 sig in 45 act.) RANK 26 NODE 25 --> 38.114090 sigma out 1 act.( 42.744678 sig in 45 act.) RANK 27 NODE 1 --> 36.340057 sigma out 1 act.( 42.256615 sig in 45 act.) RANK 28 NODE 39 --> 33.693493 sigma out 1 act.( 30.029667 sig in 45 act.) RANK 29 NODE 8 --> 31.953293 sigma out 1 act.( 33.895576 sig in 45 act.) RANK 30 NODE 29 --> 28.121130 sigma out 1 act.( 34.526382 sig in 45 act.) RANK 31 NODE 35 --> 26.192005 sigma out 1 act.( 29.954805 sig in 45 act.) RANK 32 NODE 26 --> 21.100403 sigma out 1 act.( 26.064396 sig in 45 act.) RANK 33 NODE 7 --> 18.940842 sigma out 1 act.( 20.949839 sig in 45 act.) RANK 34 NODE 9 --> 18.635223 sigma out 1 act.( 19.889196 sig in 45 act.) RANK 35 NODE 44 --> 18.079189 sigma out 1 act.( 21.984005 sig in 45 act.) RANK 36 NODE 5 --> 14.140167 sigma out 1 act.( 19.064978 sig in 45 act.) RANK 37 NODE 37 --> 13.514014 sigma out 1 act.( 17.883400 sig in 45 act.) RANK 38 NODE 4 --> 10.990101 sigma out 1 act.( 14.422733 sig in 45 act.) RANK 39 NODE 12 --> 10.868886 sigma out 1 act.( 15.578322 sig in 45 act.) RANK 40 NODE 43 --> 9.7952642 sigma out 1 act.( 15.603287 sig in 45 act.) RANK 41 NODE 27 --> 6.6503406 sigma out 1 act.( 12.285328 sig in 45 act.) RANK 42 NODE 16 --> 4.9584184 sigma out 1 act.( 11.450940 sig in 45 act.) RANK 43 NODE 2 --> 4.1512280 sigma out 1 act.( 10.981261 sig in 45 act.) RANK 44 NODE 3 --> 0.96926206 sigma out 1 act.( 11.625619 sig in 45 act.) RANK 1 NODE 1 --> 362.55768 sigma in 44 active inputs *********************************************** *** Learn Path 100 *** loss function: -0.49647787 *** contribution from regularisation: 2.85506085E-03 *** contribution from error: -0.49933293 *** contribution from DIAG: 1.90181221E-04 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE WRITE NETWORK WEIGHTS TO EXPERTISE NB_AHITOUT: storage space 124432 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/Ghost/Long/GlobalPID_Ghost_Long_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/Ghost/Long/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/Ghost/Long/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/Ghost/Long/NB.txt Training Host = lxplus432.cern.ch Particle type = ghost Background types = all Training Mix = NaturalMix Track type = Long 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_Ghost_Long_NeuroBayes.conf 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 38 nodes, hidden layer has 44 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%) Considered 1547685 tracks for input to NN training Sel. Eff. = 64.6126% Selected 1000000 tracks for input to NN training ghost percentage = 22.5666% electron percentage = 2.8802% muon percentage = 1.4409% pion percentage = 59.0251% kaon percentage = 9.1008% Unknown Particle type 411 percentage = 0.0017% Unknown Particle type 431 percentage = 0.0006% Unknown Particle type 521 percentage = 0.0007% proton percentage = 4.9502% Unknown Particle type 3112 percentage = 0.0063% Unknown Particle type 3222 percentage = 0.0228% Unknown Particle type 3312 percentage = 0.0035% Unknown Particle type 3334 percentage = 0.0003% Unknown Particle type 4122 percentage = 0.0001% Unknown Particle type 1000020040 percentage = 0.0002% 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 TrackFitMatchChi2 Making plots for input TrackCloneDist Making plots for input TrackFitVeloChi2 Making plots for input TrackFitVeloNDoF Making plots for input TrackFitTChi2 Making plots for input TrackFitTNDoF Making plots for input RichUsedAero Making plots for input RichUsedR1Gas Making plots for input RichUsedR2Gas 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 MuonBkgLL Making plots for input MuonMuLL Making plots for input MuonIsMuon Making plots for input MuonNShared Making plots for input InAccMuon Making plots for input MuonIsLooseMuon Making plots for input EcalPIDe Making plots for input EcalPIDmu Making plots for input HcalPIDe Making plots for input HcalPIDmu Making plots for input PrsPIDe 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 37 input variables. ***************Training results***************** number of nodes in the 1st layer: 45 number of nodes in the 2nd layer: 44 number of nodes in the 3rd layer: 1 number of iterations: 100