NNInput NNInputs_140.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 17120 file= 0 options= lep1_E<400&&lep2_E<400&& SBRatio= 0 wt= 1 SorB = 2 NNAna::CopyTree: SigChoice: lep1_E<400&&lep2_E<400&&Target==1 BkgChoice: lep1_E<400&&lep2_E<400&&Target==0 Creating Signal tree for file: 0 weight: 1 SBRatio = 0 Using copy string: lep1_E<400&&lep2_E<400&&Target==1 Creating Background tree for file: 0 weight: 1 SBRatio = 0 Using copy string: lep1_E<400&&lep2_E<400&&Target==0 NNAna::CopyTree: nsig = 4289 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4289 Chosen entries: 4289 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.334269 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4289 Entries to split: 4289 Test with : 2144 Train with : 2144 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 14 Your number of nodes in the hidden layer is: 15 Your number of nodes in the output layer is: 1 You want to do classification You want to use the global preprocessing flag 812 You want to use standard regularisation You use entropy as a loss function You want to use the BFGS algorithm You do not want to fix the shape You use 50 % of patterns for training Weight update after 200 events You want to speed up learning by a factor of 1. You want to limit the learning rate to 0.5 You want to run 250 iterations NeuroBayesTeacher::NB_DEF_DEBUG : setting debug level to 0 You are not allowed to change the debug flag. This is only permitted with a developers licence. NBTreeReportInterval = 10000 NBTreePrepEvPrint = 1 Start Set Inidividual Variable Preprocessing Not touching individual preprocessing for Ht ( 0 ) in Neurobayes Not touching individual preprocessing for LepAPt ( 1 ) in Neurobayes Not touching individual preprocessing for LepBPt ( 2 ) in Neurobayes Not touching individual preprocessing for MetSigLeptonsJets ( 3 ) in Neurobayes Not touching individual preprocessing for MetSpec ( 4 ) in Neurobayes Not touching individual preprocessing for SumEtLeptonsJets ( 5 ) in Neurobayes Not touching individual preprocessing for VSumJetLeptonsPt ( 6 ) in Neurobayes Not touching individual preprocessing for addEt ( 7 ) in Neurobayes Not touching individual preprocessing for dPhiLepSumMet ( 8 ) in Neurobayes Not touching individual preprocessing for dPhiLeptons ( 9 ) in Neurobayes Not touching individual preprocessing for dRLeptons ( 10 ) in Neurobayes Not touching individual preprocessing for lep1_E ( 11 ) in Neurobayes Not touching individual preprocessing for lep2_E ( 12 ) in Neurobayes End Set Inidividual Variable Preprocessing Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 4289 for Signal Prepared event 0 for Signal with 4289 events ====Entry 0 Variable Ht : 139.03 Variable LepAPt : 36.3467 Variable LepBPt : 20.1229 Variable MetSigLeptonsJets : 7.04832 Variable MetSpec : 61.9006 Variable SumEtLeptonsJets : 77.1292 Variable VSumJetLeptonsPt : 71.3176 Variable addEt : 118.371 Variable dPhiLepSumMet : 2.97031 Variable dPhiLeptons : 0.0869722 Variable dRLeptons : 0.551554 Variable lep1_E : 41.9076 Variable lep2_E : 20.1234 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2140 Ht = 139.03 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.3467 LepAPt = 36.3467 LepBEt = 20.1234 LepBPt = 20.1229 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 61.9006 MetDelPhi = 2.43247 MetSig = 5.77411 MetSigLeptonsJets = 7.04832 MetSpec = 61.9006 Mjj = 0 MostCentralJetEta = 1.13735 MtllMet = 122.158 Njets = 1 SB = 0 SumEt = 114.926 SumEtJets = 0 SumEtLeptonsJets = 77.1292 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 71.3176 addEt = 118.371 dPhiLepSumMet = 2.97031 dPhiLeptons = 0.0869722 dRLeptons = 0.551554 diltype = 54 dimass = 15.0988 event = 105 jet1_Et = 20.6596 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 41.9076 lep2_E = 20.1234 rand = 0.999742 run = 236753 weight = 2.44746e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 2.49616 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 389 negative weights. << 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 Project 2001-2003 Copyright Phi-T GmbH Version 20080312 Library compiled with: NB_MAXPATTERN= 1500000 NB_MAXNODE = 100 ----------------------------------- found 17120 samples to learn from preprocessing flags/parameters: global preprocessing flag: 812 individual preprocessing: now perform preprocessing *** called with option 12 *** This will do for you: *** input variable equalisation *** to Gaussian distribution with mean=0 and sigma=1 *** Then variables are decorrelated ************************************ Warning: found 389 negative weights. Signal fraction: 73.8952103 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.8076553 67.0122833 68.5434723 70.7022324 71.0050659 72.7312164 74.3141251 75.5823517 76.979599 77.0652542 77.5726318 79.18573 79.976738 80.9541931 81.552948 82.1883392 83.2505951 83.4156876 84.3531189 85.9808197 87.2596588 88.2421112 88.6497345 89.6343765 90.7093201 91.6540146 92.9315567 93.5648422 93.7845764 95.1705933 96.207489 96.7220154 97.2453156 98.0019379 98.4013901 98.8515472 99.4782562 99.7242889 100.764717 101.633537 102.452423 103.68306 104.805679 106.098145 106.719284 107.231949 108.246368 108.971802 110.248795 111.87767 113.074768 113.921738 114.70182 115.806168 116.994057 117.741608 118.679382 119.621323 120.392365 121.512428 122.382431 123.387306 124.347717 125.548019 126.911057 127.786682 128.786285 130.007874 131.028473 132.328079 133.335724 133.843796 135.026001 136.37355 137.972687 139.418716 141.095795 142.75119 144.379883 146.275909 147.773071 149.598541 151.873505 154.065002 157.17984 158.813354 160.989395 163.026825 165.920654 169.817398 173.845291 177.63121 181.624084 187.316391 192.024765 199.848938 209.512909 221.082855 233.822693 273.883972 519.386597 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.5508442 20.7337551 21.0332355 21.1688385 21.4306221 21.5793228 22.0019245 22.3452797 22.5646935 22.7124786 22.8152428 22.9649467 23.1251431 23.4074898 23.7166958 23.9020081 24.1428967 24.3647041 24.6226311 24.8794022 25.0262756 25.3108292 25.5647964 25.6530075 25.7325706 25.9944153 26.1953926 26.3331623 26.4899597 26.7519855 26.9788055 27.0417461 27.2570076 27.5878067 27.7894039 27.8651085 28.0984383 28.3347282 28.4982758 28.6850662 28.7895737 29.0458069 29.1265049 29.3677635 29.6119843 29.6942482 29.7830334 29.9622269 30.0675316 30.1883583 30.3762531 30.5211296 30.7365665 30.9370041 31.1619892 31.4654388 31.6727409 31.8527489 32.1337585 32.2829514 32.4693298 32.6841965 32.7589035 33.0046654 33.1219864 33.3767853 33.6274414 33.7847061 34.0612106 34.309227 34.5549622 34.7775002 34.9325829 35.176136 35.3629379 35.4670296 35.5991631 35.908371 36.0538025 36.4470673 36.619194 36.9958839 37.3840179 37.9391327 38.3213234 38.8447609 39.321228 39.9031639 40.413063 41.1165886 41.9313545 42.6883736 43.4733505 44.3933105 45.4041748 46.7997856 49.0215988 52.2203827 56.2608643 88.4507523 ------------------------------ Transdef: Tab for variable 4 10.0013514 10.1989746 10.3402405 10.43717 10.484725 10.5458012 10.6142349 10.6197853 10.8619337 10.9245605 10.9773264 11.1102486 11.2433987 11.321722 11.5037804 11.6048832 11.7342796 11.8848066 12.1072502 12.2511215 12.3138771 12.5154934 12.6301727 12.7722702 12.9469624 13.2284184 13.4621353 13.5818577 13.6542501 13.7454309 13.7994413 13.8141813 14.0134277 14.1648331 14.4630222 14.7305441 14.8731642 15.1175041 15.3521595 15.6066952 15.6786013 15.9097443 15.9628735 16.1149673 16.3265114 16.4532452 16.7223663 16.8254509 16.9966793 17.1733818 17.560524 17.7102623 17.9595623 18.1061592 18.3536892 18.4584618 18.7456684 18.9695988 19.1562004 19.4672585 19.8029137 20.0412483 20.2308922 20.3159981 20.5041714 20.6657524 20.8461533 21.0216179 21.2656364 21.4688435 21.598671 21.7462864 21.8955612 22.1012154 22.3203621 22.4895496 22.6958046 22.8572998 23.1161289 23.380661 23.7257614 23.9306297 24.158699 24.3778458 24.6871471 24.9849701 25.286314 25.5472012 25.817997 26.1597061 26.467083 26.8323841 27.254673 27.7404251 28.1368999 28.6042538 28.9760475 29.4644814 30.4857063 31.8856773 38.4902878 ------------------------------ Transdef: Tab for variable 5 2.04317451 3.18062115 3.51625919 3.77911544 3.91092205 4.10072613 4.21724129 4.36005974 4.52393961 4.59189606 4.64795256 4.76466179 4.89097023 4.95595026 5.05553246 5.1434536 5.16735506 5.26063061 5.33599949 5.37870216 5.44896126 5.47914362 5.52441454 5.53796911 5.6035862 5.67753124 5.74673605 5.81871367 5.90171814 5.98126554 6.01631498 6.06164598 6.11445999 6.17891598 6.25920677 6.32247829 6.38107824 6.45632362 6.52735233 6.57248974 6.61121559 6.64199543 6.66299152 6.70671701 6.76847458 6.78805542 6.82808018 6.85885429 6.87248421 6.89837027 6.92128515 6.96805191 6.98402691 7.0028553 7.0554142 7.07771397 7.12789774 7.16140413 7.19123554 7.20836449 7.27039385 7.32452297 7.36935329 7.38024092 7.40686131 7.46150017 7.51113796 7.53035927 7.58148813 7.60443687 7.65275812 7.70572948 7.76830816 7.81317806 7.85651398 7.92432499 7.97471666 8.01067162 8.08296204 8.12265396 8.14738274 8.19954967 8.26510048 8.3331089 8.39971161 8.45379066 8.52676773 8.59972572 8.70068932 8.75406456 8.84539223 8.90196991 9.02718735 9.1629591 9.33380604 9.40879345 9.56685257 9.80937099 10.1806431 10.7765493 16.3744583 ------------------------------ Transdef: Tab for variable 6 25.0127583 26.7559509 27.3463821 28.7246971 30.0501022 31.1199512 31.2495575 32.2696648 32.6545563 33.3200226 34.1334801 34.6991997 34.7508659 35.6261139 36.0134888 36.6508942 37.1306686 37.7593193 38.3210678 38.5986099 38.9052124 39.5717163 39.8119812 40.4213104 41.0295029 41.7240868 42.4224434 42.4771652 42.8725128 42.9797173 43.1076317 43.5863228 43.8904839 44.1416321 44.9570427 45.6968613 45.8539352 46.3963051 46.7279739 47.1966362 47.3885536 47.5572205 47.9197159 48.1648102 48.6601868 49.0402222 49.3624725 49.7247162 49.9900284 50.3331299 50.5490608 51.1185989 51.7557831 51.9423523 52.5746765 53.1398773 53.7122574 54.1966972 54.4566345 54.9051857 55.3682632 55.8660583 56.2103729 56.5599823 56.8796539 57.4541168 57.874794 58.3899422 58.6208649 59.2375641 59.878315 60.3197632 60.8517113 61.2450371 61.8122787 62.4542465 63.1118393 63.8450356 64.3836975 64.8654022 65.4467621 66.3631134 67.0168839 67.8039246 68.4212952 69.6010742 70.5866394 72.0592194 72.848877 74.5677185 75.7461624 77.5695038 79.6003036 81.4413681 82.3423843 84.631134 87.232254 92.3706055 98.0900803 108.323112 186.39682 ------------------------------ Transdef: Tab for variable 7 30.250906 33.7796249 34.6420746 35.3324852 35.4067612 36.2694702 37.2150993 37.5910034 38.3857422 38.567379 38.8823318 39.1714859 39.3901978 39.728157 40.0780792 40.2251205 40.6494827 41.1322937 41.9084549 42.2864647 42.7212029 43.3030624 43.9393387 44.6450615 44.9097862 45.7185669 45.9122429 46.2482872 46.5250816 46.9196701 47.3560944 48.1478767 48.5891495 49.047287 49.3906288 49.8610458 50.4829178 50.994442 51.3787918 52.1239815 52.360096 53.0380859 53.7918968 54.62286 55.3042984 55.640049 56.2135849 56.7849693 57.4887466 58.0058975 58.613575 58.9223366 59.2458649 59.8108368 60.3780174 60.9020462 61.5433197 62.3282852 62.6794548 62.9225235 63.4995117 64.1979065 64.8385925 65.7997437 66.8811493 68.2158508 69.1644669 70.203949 71.6533279 72.841629 73.5869598 74.9083862 76.5269928 76.7700043 77.6005936 78.8685455 79.7539597 81.0965424 82.5884781 84.4546585 85.7487793 86.8106232 88.5918579 90.7653046 92.1135101 93.7368927 95.7715454 97.8524323 100.787674 103.131104 105.165359 107.777878 111.672585 116.289368 120.381508 125.751831 132.108093 141.16481 156.170303 176.684555 309.657013 ------------------------------ Transdef: Tab for variable 8 7.92884731 23.8530636 28.1878433 30.8656044 32.1457062 32.9499664 33.7312698 33.9282188 34.3736191 34.9680862 35.5238495 35.9883041 36.3928642 36.8379707 37.1879654 37.6667442 37.9630356 38.2651024 38.6311722 38.885231 38.9471741 39.2273407 39.4973755 39.6301346 39.8033066 40.1123352 40.5132599 40.8037643 41.12677 41.6770401 42.2145081 42.8084717 43.2994156 43.6700172 44.1090164 44.405365 44.8392715 45.0248985 45.3760605 45.7300682 46.0150757 46.4827995 46.7858047 47.0364685 47.5199432 48.0057564 48.225769 48.6669769 48.749794 48.8069458 49.226387 49.4070663 49.9898224 50.1510582 50.6857452 51.0471497 51.5358429 52.0074272 52.5503082 53.0574799 53.3314133 53.7827225 54.1808472 54.6133575 54.9489441 55.3442497 55.7696266 56.2314682 56.6385422 56.9936295 57.4373245 58.0608063 58.6619492 59.1125107 59.509285 59.9530411 60.4883232 61.0481415 61.7285767 62.2815704 62.8767548 63.450901 64.0793762 64.9466248 65.8125381 66.7214432 67.5961151 68.4731216 69.5928192 70.5753784 71.9764557 73.9081726 74.2952728 76.1506119 78.5816727 82.6009369 87.5126801 92.1598358 96.7838898 107.068817 201.885956 ------------------------------ Transdef: Tab for variable 9 55.8076553 65.8760529 67.3902969 69.5099335 70.6817169 71.0050659 71.360199 73.2443314 74.3177795 75.2261734 76.6523438 76.9866409 77.0652542 77.8881226 78.9367218 79.4821854 79.9959412 80.9541931 81.2677155 82.0193329 82.5108795 83.3727646 83.5135803 84.3531189 85.4762268 86.5417938 87.055954 88.2578278 88.6497345 89.435463 90.1795654 90.567276 91.5197906 91.9800491 92.9315567 93.5015564 94.0743408 95.1596069 95.8597412 96.322464 96.8601685 97.3191681 98.0019379 98.3208008 98.5982666 98.9340515 99.5766602 99.9331665 100.666794 101.512817 101.712395 102.451401 103.407593 104.56369 104.980728 105.761711 106.401932 106.918884 107.411407 108.147461 108.867332 109.724724 110.42157 111.610336 112.49675 113.270294 114.212387 114.806335 115.169556 116.007706 116.7061 117.123634 117.874504 118.44548 119.001007 119.789917 120.531311 121.411629 122.060555 122.761841 123.653084 124.531837 125.500336 126.588974 127.176865 128.04628 129.088623 130.087006 130.892151 131.630188 132.392944 133.382156 134.751343 136.585754 138.2052 140.957413 143.602234 147.200348 153.255676 161.127029 266.473724 ------------------------------ Transdef: Tab for variable 10 0.338040024 0.939795494 1.25190961 1.45493078 1.64088392 1.73862958 1.83003795 1.93633163 2.02713442 2.08341694 2.17981386 2.24819016 2.30280066 2.3380909 2.37881684 2.41610956 2.4365468 2.46745729 2.49908209 2.5355196 2.56665373 2.57981014 2.6101656 2.63426256 2.66270137 2.68578672 2.70561361 2.71579027 2.73406219 2.75775909 2.76884174 2.78770185 2.80130935 2.8124516 2.82913303 2.84259033 2.8512969 2.85347223 2.86020207 2.87418127 2.88339138 2.89354873 2.89928102 2.9131465 2.91738963 2.92710638 2.93574834 2.94476414 2.94963932 2.9538331 2.95850325 2.96540141 2.9686656 2.97697449 2.98003197 2.98792982 2.99157143 2.99877071 3.00384545 3.01087236 3.01474047 3.01890087 3.02505159 3.02812386 3.03470087 3.0371716 3.03814864 3.0424614 3.04473782 3.05147552 3.05284762 3.05691528 3.06040382 3.06493831 3.06696415 3.07116747 3.07212949 3.0748198 3.07870817 3.08174801 3.08675623 3.09099197 3.09393835 3.09549475 3.10005999 3.10205388 3.10372353 3.10587168 3.10930634 3.11207056 3.11394262 3.11525893 3.11976814 3.12349749 3.12688351 3.13090611 3.13225889 3.13452625 3.13783836 3.13917589 3.1415844 ------------------------------ Transdef: Tab for variable 11 5.29289246E-05 0.012509048 0.0197945833 0.0360226631 0.0459712557 0.051081419 0.0607652366 0.0669635534 0.0772323906 0.0832072496 0.0944713354 0.0982999802 0.106446624 0.113708258 0.125948191 0.136200428 0.146088839 0.153517723 0.157254234 0.164361954 0.169690371 0.17955476 0.188843295 0.196434394 0.203918159 0.213594675 0.226926088 0.231061816 0.241385818 0.251352727 0.261137366 0.268834591 0.278255641 0.289333463 0.298814178 0.303752482 0.312802196 0.321492732 0.327630758 0.332692027 0.339273214 0.347128361 0.353296876 0.360047638 0.365796804 0.371750236 0.375136614 0.377612829 0.383012533 0.38812691 0.391155183 0.394591212 0.39918083 0.403110266 0.408662051 0.413113713 0.417114735 0.421628237 0.425477505 0.429329157 0.432556391 0.437452793 0.439097494 0.444817185 0.44670248 0.447495788 0.452220917 0.454456449 0.459032148 0.46278882 0.467181802 0.47356528 0.476564139 0.485804737 0.494476169 0.500928521 0.507721663 0.517030954 0.522234797 0.528215766 0.537046432 0.545719326 0.55813241 0.569072604 0.576903999 0.587723374 0.594010234 0.602942586 0.618327856 0.631899357 0.63874054 0.650276423 0.652305365 0.665253401 0.673994839 0.697314143 0.717488647 0.735522389 0.774225175 0.861537933 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.2193266 0.401192307 0.406889766 0.411753595 0.413626611 0.417511702 0.421244383 0.424062967 0.426438212 0.430463731 0.432713389 0.436115026 0.438419521 0.441273987 0.444996536 0.448254704 0.451837748 0.454272091 0.456141561 0.459319115 0.460288286 0.463194489 0.466740489 0.469682872 0.472489476 0.475177616 0.478133619 0.481539905 0.483503044 0.486551642 0.489337265 0.493064642 0.496841073 0.50060308 0.502542078 0.504359066 0.506916642 0.51044035 0.513076603 0.514890671 0.517742336 0.520837784 0.524555802 0.527695775 0.53121984 0.534610331 0.537680805 0.538986742 0.542428851 0.545985579 0.549457967 0.552530408 0.555423915 0.55920279 0.562123895 0.566999912 0.569422662 0.572763801 0.577085853 0.578804314 0.583789945 0.587497711 0.592289686 0.59697777 0.601665258 0.607129097 0.615237415 0.622508764 0.629567981 0.631391406 0.638622582 0.646022439 0.650766969 0.655859947 0.659080982 0.664956152 0.665959775 0.66756022 0.671254516 0.675567985 0.6782372 0.679321766 0.690121651 0.700569153 0.703108191 0.709015191 0.72018373 0.724743366 0.732852221 0.738330841 0.749653518 0.753686666 0.763408363 0.77050966 0.780161381 0.796083689 0.796464443 0.824277163 0.862859368 0.897170186 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.0955334 22.1192017 22.1673889 23.0694695 23.3435974 24.0795727 24.8532104 25.5412712 25.8309288 26.3657036 26.8174171 27.0525303 27.2796288 27.6560116 28.0815239 28.334568 28.9329586 29.3971653 29.605011 29.8207359 30.128767 30.236969 30.5136127 30.6821327 30.9047318 31.025383 31.4008789 31.8124752 32.2753029 32.4671631 32.6752777 33.0642776 33.2132874 33.6123505 34.0729561 34.415287 34.8155365 35.0742378 35.3028717 35.4119072 35.5920105 35.8476181 36.0535736 36.1867485 36.4469376 36.9058762 37.3076477 37.6839409 38.1034164 38.5404663 38.7027817 39.2425728 39.4775658 39.7866249 40.0702515 40.5787964 40.9279404 41.2936974 41.484787 41.9059448 42.4099045 42.9121552 43.4004211 43.8863373 44.3953629 44.7667847 45.2739716 45.8712349 46.3082352 46.5341415 47.1459198 47.6799316 48.6827278 49.2955399 50.1060257 50.6325417 51.2839661 52.2942352 53.1768265 53.8633385 55.0656738 56.3104324 57.4269943 59.1869354 60.0865402 61.25354 62.025013 62.6533356 64.0736389 65.849762 67.3267593 68.421463 70.7123566 73.8615494 77.3422546 80.8061905 83.1382599 85.3608856 89.9060516 98.6305161 192.369995 ------------------------------ Transdef: Tab for variable 14 10.0524235 10.4758339 10.8736935 10.9244976 11.3456154 11.9641981 12.1553059 12.317812 12.757287 13.1261215 13.6997128 13.8502026 13.8865585 14.1927633 14.5421047 15.008688 15.4466572 15.8812466 16.0045853 16.2721748 16.2856541 16.4578285 16.7079391 16.7812729 17.0400524 17.4627151 17.7185287 17.7580242 18.0301781 18.1822891 18.3086948 18.5966454 18.7715893 19.0097961 19.1688614 19.392128 19.8268967 20.0664444 20.2574368 20.4890652 20.5988464 20.712307 20.9671631 21.3196583 21.5309925 21.6657219 21.8180332 22.0118465 22.2991295 22.4016266 22.7603836 23.0784645 23.2035103 23.356041 23.6670723 23.9598579 24.2567921 24.5906677 24.9577999 25.2666931 25.579422 25.8707066 26.2357674 26.5261002 27.0408592 27.248497 27.4849548 27.6604538 28.0543404 28.1761436 28.4160748 28.8412552 29.0978622 29.3970375 29.8046818 30.133316 30.4679718 30.8973637 31.271265 31.5744076 32.0441818 32.5728111 33.131115 33.8519173 34.3578033 34.8491478 35.5982666 36.3473053 37.3652115 38.29879 39.1206207 40.108242 41.3080292 42.8485565 44.3529053 45.8275986 47.8873444 51.1517639 54.5569305 62.1717644 94.4255295 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 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 47.5 20.5 40.1 10.0 30.5 47.0 35.9 43.0 -24.6 -11.4 -21.7 6.7 32.5 2 47.5 100.0 41.9 41.6 28.4 69.4 93.2 70.0 85.7 -46.1 -20.1 -33.9 18.4 27.7 3 20.5 41.9 100.0 12.3 -1.1 21.0 45.1 35.3 52.6 -8.0 -22.1 -39.5 59.7 4.3 4 40.1 41.6 12.3 100.0 11.0 29.1 41.1 38.9 50.5 -1.7 -20.1 -48.0 2.9 77.5 5 10.0 28.4 -1.1 11.0 100.0 82.9 -4.4 47.4 60.8 28.7 -7.8 -7.7 -3.8 7.9 6 30.5 69.4 21.0 29.1 82.9 100.0 43.8 75.6 86.3 -3.1 -14.0 -21.6 7.4 20.0 7 47.0 93.2 45.1 41.1 -4.4 43.8 100.0 60.8 68.9 -56.4 -18.0 -31.9 19.8 27.0 8 35.9 70.0 35.3 38.9 47.4 75.6 60.8 100.0 79.6 -9.1 -18.1 -29.1 17.2 28.6 9 43.0 85.7 52.6 50.5 60.8 86.3 68.9 79.6 100.0 -14.9 -23.3 -42.1 26.1 35.5 10 -24.6 -46.1 -8.0 -1.7 28.7 -3.1 -56.4 -9.1 -14.9 100.0 1.0 3.2 -3.6 0.2 11 -11.4 -20.1 -22.1 -20.1 -7.8 -14.0 -18.0 -18.1 -23.3 1.0 100.0 51.7 -18.3 -22.1 12 -21.7 -33.9 -39.5 -48.0 -7.7 -21.6 -31.9 -29.1 -42.1 3.2 51.7 100.0 -24.5 -39.9 13 6.7 18.4 59.7 2.9 -3.8 7.4 19.8 17.2 26.1 -3.6 -18.3 -24.5 100.0 29.8 14 32.5 27.7 4.3 77.5 7.9 20.0 27.0 28.6 35.5 0.2 -22.1 -39.9 29.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 113.8516 TOTAL CORRELATION OF ALL VARIABLES 54.5907164 ROUND 1: MAX CORR ( 54.5904015) AFTER KILLING INPUT VARIABLE 11 CONTR 0.185414765 ROUND 2: MAX CORR ( 54.5751779) AFTER KILLING INPUT VARIABLE 6 CONTR 1.28914521 ROUND 3: MAX CORR ( 54.540014) AFTER KILLING INPUT VARIABLE 8 CONTR 1.9588062 ROUND 4: MAX CORR ( 54.5217782) AFTER KILLING INPUT VARIABLE 2 CONTR 1.410258 ROUND 5: MAX CORR ( 54.3901741) AFTER KILLING INPUT VARIABLE 9 CONTR 3.78592849 ROUND 6: MAX CORR ( 54.2427491) AFTER KILLING INPUT VARIABLE 12 CONTR 4.00190035 ROUND 7: MAX CORR ( 53.8274488) AFTER KILLING INPUT VARIABLE 4 CONTR 6.69937249 ROUND 8: MAX CORR ( 53.3583501) AFTER KILLING INPUT VARIABLE 10 CONTR 7.09088971 ROUND 9: MAX CORR ( 52.8306537) AFTER KILLING INPUT VARIABLE 3 CONTR 7.48569034 ROUND 10: MAX CORR ( 52.2617158) AFTER KILLING INPUT VARIABLE 13 CONTR 7.73246601 ROUND 11: MAX CORR ( 51.2681785) AFTER KILLING INPUT VARIABLE 5 CONTR 10.1420316 ROUND 12: MAX CORR ( 46.9599837) AFTER KILLING INPUT VARIABLE 14 CONTR 20.5714865 LAST REMAINING VARIABLE: 7 total correlation to target: 54.5907164 % total significance: 29.5078099 sigma correlations of single variables to target: variable 2: 47.4979539 % , in sigma: 25.6739733 variable 3: 20.5035737 % , in sigma: 11.0827554 variable 4: 40.1320118 % , in sigma: 21.6924755 variable 5: 9.97595373 % , in sigma: 5.39228217 variable 6: 30.5158455 % , in sigma: 16.4946684 variable 7: 46.9599837 % , in sigma: 25.3831854 variable 8: 35.8642175 % , in sigma: 19.3856132 variable 9: 43.0046934 % , in sigma: 23.2452402 variable 10: -24.5915627 % , in sigma: 13.2924278 variable 11: -11.3711337 % , in sigma: 6.14641596 variable 12: -21.6933429 % , in sigma: 11.7258589 variable 13: 6.66213432 % , in sigma: 3.60107004 variable 14: 32.4730828 % , in sigma: 17.55261 variables sorted by significance: 1 most relevant variable 7 corr 46.9599838 , in sigma: 25.3831854 2 most relevant variable 14 corr 20.5714874 , in sigma: 11.1194646 3 most relevant variable 5 corr 10.1420317 , in sigma: 5.48205194 4 most relevant variable 13 corr 7.73246622 , in sigma: 4.17961438 5 most relevant variable 3 corr 7.48569012 , in sigma: 4.04622499 6 most relevant variable 10 corr 7.09088993 , in sigma: 3.83282445 7 most relevant variable 4 corr 6.69937229 , in sigma: 3.62119821 8 most relevant variable 12 corr 4.0019002 , in sigma: 2.16313905 9 most relevant variable 9 corr 3.78592849 , in sigma: 2.0464003 10 most relevant variable 2 corr 1.41025805 , in sigma: 0.762283945 11 most relevant variable 8 corr 1.95880616 , in sigma: 1.05878954 12 most relevant variable 6 corr 1.28914523 , in sigma: 0.696819074 13 most relevant variable 11 corr 0.185414761 , in sigma: 0.100221867 global correlations between input variables: variable 2: 99.0945945 % variable 3: 91.4100799 % variable 4: 90.5664385 % variable 5: 97.1988788 % variable 6: 96.6436503 % variable 7: 98.8872697 % variable 8: 86.9920788 % variable 9: 98.8481091 % variable 10: 71.0540993 % variable 11: 53.6304972 % variable 12: 70.1775566 % variable 13: 77.6560524 % variable 14: 86.8120387 % significance loss when removing single variables: variable 2: corr = 2.29553952 % , sigma = 1.24080335 variable 3: corr = 8.36824149 % , sigma = 4.52326871 variable 4: corr = 8.51286459 % , sigma = 4.60144154 variable 5: corr = 5.97564223 % , sigma = 3.23000186 variable 6: corr = 1.29486489 % , sigma = 0.699910712 variable 7: corr = 3.81290105 % , sigma = 2.06097972 variable 8: corr = 2.31171664 % , sigma = 1.24954754 variable 9: corr = 4.2596699 % , sigma = 2.30247079 variable 10: corr = 8.49447185 % , sigma = 4.59149975 variable 11: corr = 0.185414765 % , sigma = 0.100221869 variable 12: corr = 3.53575419 % , sigma = 1.91117409 variable 13: corr = 6.88996067 % , sigma = 3.72421656 variable 14: corr = 8.62296123 % , sigma = 4.66095186 Keep only 5 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 6 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 12.1007099 sigma out 15 active outputs RANK 2 NODE 3 --> 7.58528328 sigma out 15 active outputs RANK 3 NODE 2 --> 6.62772083 sigma out 15 active outputs RANK 4 NODE 6 --> 5.58460188 sigma out 15 active outputs RANK 5 NODE 5 --> 3.98463583 sigma out 15 active outputs RANK 6 NODE 4 --> 3.67813635 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 14.3730841 sigma in 6act. ( 15.8102741 sig out 1act.) RANK 2 NODE 6 --> 5.07559395 sigma in 6act. ( 5.37884665 sig out 1act.) RANK 3 NODE 1 --> 4.88709831 sigma in 6act. ( 5.66153145 sig out 1act.) RANK 4 NODE 8 --> 3.88601017 sigma in 6act. ( 4.24099112 sig out 1act.) RANK 5 NODE 12 --> 3.20220804 sigma in 6act. ( 3.28108883 sig out 1act.) RANK 6 NODE 11 --> 2.70062828 sigma in 6act. ( 3.02193069 sig out 1act.) RANK 7 NODE 5 --> 2.23991656 sigma in 6act. ( 2.14140177 sig out 1act.) RANK 8 NODE 9 --> 2.11635637 sigma in 6act. ( 2.21508503 sig out 1act.) RANK 9 NODE 2 --> 1.79794824 sigma in 6act. ( 1.93718243 sig out 1act.) RANK 10 NODE 3 --> 1.37717283 sigma in 6act. ( 0.269263029 sig out 1act.) RANK 11 NODE 15 --> 1.33630419 sigma in 6act. ( 1.23702955 sig out 1act.) RANK 12 NODE 4 --> 1.33065343 sigma in 6act. ( 1.1376853 sig out 1act.) RANK 13 NODE 7 --> 0.837825656 sigma in 6act. ( 0.71230191 sig out 1act.) RANK 14 NODE 13 --> 0.61445725 sigma in 6act. ( 0.141362309 sig out 1act.) RANK 15 NODE 10 --> 0.585971296 sigma in 6act. ( 0.416754901 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 15.8102741 sigma out 1act.( 14.3730841 sig in 6act.) RANK 2 NODE 1 --> 5.66153145 sigma out 1act.( 4.88709831 sig in 6act.) RANK 3 NODE 6 --> 5.37884665 sigma out 1act.( 5.07559395 sig in 6act.) RANK 4 NODE 8 --> 4.24099112 sigma out 1act.( 3.88601017 sig in 6act.) RANK 5 NODE 12 --> 3.28108883 sigma out 1act.( 3.20220804 sig in 6act.) RANK 6 NODE 11 --> 3.02193069 sigma out 1act.( 2.70062828 sig in 6act.) RANK 7 NODE 9 --> 2.21508503 sigma out 1act.( 2.11635637 sig in 6act.) RANK 8 NODE 5 --> 2.14140177 sigma out 1act.( 2.23991656 sig in 6act.) RANK 9 NODE 2 --> 1.93718243 sigma out 1act.( 1.79794824 sig in 6act.) RANK 10 NODE 15 --> 1.23702955 sigma out 1act.( 1.33630419 sig in 6act.) RANK 11 NODE 4 --> 1.1376853 sigma out 1act.( 1.33065343 sig in 6act.) RANK 12 NODE 7 --> 0.71230191 sigma out 1act.( 0.837825656 sig in 6act.) RANK 13 NODE 10 --> 0.416754901 sigma out 1act.( 0.585971296 sig in 6act.) RANK 14 NODE 3 --> 0.269263029 sigma out 1act.( 1.37717283 sig in 6act.) RANK 15 NODE 13 --> 0.141362309 sigma out 1act.( 0.61445725 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 19.1226654 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 13.7454357 sigma out 15 active outputs RANK 2 NODE 3 --> 9.59596348 sigma out 15 active outputs RANK 3 NODE 6 --> 9.10747337 sigma out 15 active outputs RANK 4 NODE 2 --> 8.2670536 sigma out 15 active outputs RANK 5 NODE 4 --> 5.87904358 sigma out 15 active outputs RANK 6 NODE 5 --> 4.66048861 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 12.4685392 sigma in 6act. ( 13.1353302 sig out 1act.) RANK 2 NODE 6 --> 7.3506465 sigma in 6act. ( 7.16378546 sig out 1act.) RANK 3 NODE 1 --> 7.11507082 sigma in 6act. ( 5.94199944 sig out 1act.) RANK 4 NODE 12 --> 5.86664009 sigma in 6act. ( 3.48840618 sig out 1act.) RANK 5 NODE 8 --> 5.65443993 sigma in 6act. ( 5.41437149 sig out 1act.) RANK 6 NODE 2 --> 5.11855268 sigma in 6act. ( 5.11689854 sig out 1act.) RANK 7 NODE 3 --> 4.57535648 sigma in 6act. ( 2.16093898 sig out 1act.) RANK 8 NODE 5 --> 4.38800335 sigma in 6act. ( 2.09523034 sig out 1act.) RANK 9 NODE 13 --> 4.20719862 sigma in 6act. ( 1.88075924 sig out 1act.) RANK 10 NODE 7 --> 3.95259571 sigma in 6act. ( 1.71634245 sig out 1act.) RANK 11 NODE 10 --> 3.93759751 sigma in 6act. ( 1.85736823 sig out 1act.) RANK 12 NODE 9 --> 3.77861929 sigma in 6act. ( 2.58954287 sig out 1act.) RANK 13 NODE 15 --> 3.76445866 sigma in 6act. ( 2.07195878 sig out 1act.) RANK 14 NODE 4 --> 3.48523068 sigma in 6act. ( 1.51492965 sig out 1act.) RANK 15 NODE 11 --> 2.50399709 sigma in 6act. ( 2.56329083 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 13.1353302 sigma out 1act.( 12.4685392 sig in 6act.) RANK 2 NODE 6 --> 7.16378546 sigma out 1act.( 7.3506465 sig in 6act.) RANK 3 NODE 1 --> 5.94199944 sigma out 1act.( 7.11507082 sig in 6act.) RANK 4 NODE 8 --> 5.41437149 sigma out 1act.( 5.65443993 sig in 6act.) RANK 5 NODE 2 --> 5.11689854 sigma out 1act.( 5.11855268 sig in 6act.) RANK 6 NODE 12 --> 3.48840618 sigma out 1act.( 5.86664009 sig in 6act.) RANK 7 NODE 9 --> 2.58954287 sigma out 1act.( 3.77861929 sig in 6act.) RANK 8 NODE 11 --> 2.56329083 sigma out 1act.( 2.50399709 sig in 6act.) RANK 9 NODE 3 --> 2.16093898 sigma out 1act.( 4.57535648 sig in 6act.) RANK 10 NODE 5 --> 2.09523034 sigma out 1act.( 4.38800335 sig in 6act.) RANK 11 NODE 15 --> 2.07195878 sigma out 1act.( 3.76445866 sig in 6act.) RANK 12 NODE 13 --> 1.88075924 sigma out 1act.( 4.20719862 sig in 6act.) RANK 13 NODE 10 --> 1.85736823 sigma out 1act.( 3.93759751 sig in 6act.) RANK 14 NODE 7 --> 1.71634245 sigma out 1act.( 3.95259571 sig in 6act.) RANK 15 NODE 4 --> 1.51492965 sigma out 1act.( 3.48523068 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 19.1229687 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.441140771 *** contribution from regularisation: 0.0190167725 *** contribution from error: -0.460157543 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.519797266 *** contribution from regularisation: 0.0088849375 *** contribution from error: -0.528682232 *********************************************** -----------------> Test sample ENTER BFGS code START -4450.32049 -0.848481715 0.0505494885 EXIT FROM BFGS code FG_START 0. -0.848481715 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.533671558 *** contribution from regularisation: 0.00695105549 *** contribution from error: -0.540622592 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4568.22833 -0.848481715 -3.47859478 EXIT FROM BFGS code FG_LNSRCH 0. -0.869941473 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.532098353 *** contribution from regularisation: 0.0111614633 *** contribution from error: -0.543259799 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4554.76177 -0.869941473 30.8635292 EXIT FROM BFGS code FG_LNSRCH 0. -0.857662499 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.537952662 *** contribution from regularisation: 0.0104377866 *** contribution from error: -0.548390448 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4604.87496 -0.857662499 13.8216677 EXIT FROM BFGS code NEW_X -4604.87496 -0.857662499 13.8216677 ENTER BFGS code NEW_X -4604.87496 -0.857662499 13.8216677 EXIT FROM BFGS code FG_LNSRCH 0. -0.830849767 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.53997165 *** contribution from regularisation: 0.0101866536 *** contribution from error: -0.550158322 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4622.15726 -0.830849767 7.41894627 EXIT FROM BFGS code NEW_X -4622.15726 -0.830849767 7.41894627 ENTER BFGS code NEW_X -4622.15726 -0.830849767 7.41894627 EXIT FROM BFGS code FG_LNSRCH 0. -0.779266596 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.540504456 *** contribution from regularisation: 0.0105571896 *** contribution from error: -0.55106163 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4626.71811 -0.779266596 -1.81893241 EXIT FROM BFGS code NEW_X -4626.71811 -0.779266596 -1.81893241 ENTER BFGS code NEW_X -4626.71811 -0.779266596 -1.81893241 EXIT FROM BFGS code FG_LNSRCH 0. -0.754828334 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.540790975 *** contribution from regularisation: 0.0102575384 *** contribution from error: -0.551048517 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4629.1709 -0.754828334 -2.27231002 EXIT FROM BFGS code NEW_X -4629.1709 -0.754828334 -2.27231002 ENTER BFGS code NEW_X -4629.1709 -0.754828334 -2.27231002 EXIT FROM BFGS code FG_LNSRCH 0. -0.513765335 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.541752815 *** contribution from regularisation: 0.0066438755 *** contribution from error: -0.548396707 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4637.40407 -0.513765335 2.16575837 EXIT FROM BFGS code NEW_X -4637.40407 -0.513765335 2.16575837 ENTER BFGS code NEW_X -4637.40407 -0.513765335 2.16575837 EXIT FROM BFGS code FG_LNSRCH 0. -0.457177579 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 8.22181606 sigma out 15 active outputs RANK 2 NODE 6 --> 7.02530003 sigma out 15 active outputs RANK 3 NODE 2 --> 6.87248755 sigma out 15 active outputs RANK 4 NODE 3 --> 4.27962112 sigma out 15 active outputs RANK 5 NODE 4 --> 4.2592001 sigma out 15 active outputs RANK 6 NODE 5 --> 2.08561373 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 6.49027681 sigma in 6act. ( 4.81867266 sig out 1act.) RANK 2 NODE 1 --> 4.90137196 sigma in 6act. ( 2.84150767 sig out 1act.) RANK 3 NODE 6 --> 4.04225302 sigma in 6act. ( 2.34079885 sig out 1act.) RANK 4 NODE 10 --> 3.84841108 sigma in 6act. ( 2.55280995 sig out 1act.) RANK 5 NODE 14 --> 3.7873292 sigma in 6act. ( 1.920946 sig out 1act.) RANK 6 NODE 3 --> 3.64258814 sigma in 6act. ( 2.72844219 sig out 1act.) RANK 7 NODE 7 --> 3.62096381 sigma in 6act. ( 2.44004178 sig out 1act.) RANK 8 NODE 13 --> 3.47375751 sigma in 6act. ( 2.43838882 sig out 1act.) RANK 9 NODE 4 --> 3.41162944 sigma in 6act. ( 2.35925031 sig out 1act.) RANK 10 NODE 8 --> 3.26162934 sigma in 6act. ( 1.70189047 sig out 1act.) RANK 11 NODE 15 --> 3.09658337 sigma in 6act. ( 2.08306026 sig out 1act.) RANK 12 NODE 2 --> 3.05485535 sigma in 6act. ( 1.45565832 sig out 1act.) RANK 13 NODE 5 --> 2.86626363 sigma in 6act. ( 1.97483647 sig out 1act.) RANK 14 NODE 9 --> 1.9015975 sigma in 6act. ( 0.799851775 sig out 1act.) RANK 15 NODE 11 --> 1.36823475 sigma in 6act. ( 0.0593172759 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 4.81867266 sigma out 1act.( 6.49027681 sig in 6act.) RANK 2 NODE 1 --> 2.84150767 sigma out 1act.( 4.90137196 sig in 6act.) RANK 3 NODE 3 --> 2.72844219 sigma out 1act.( 3.64258814 sig in 6act.) RANK 4 NODE 10 --> 2.55280995 sigma out 1act.( 3.84841108 sig in 6act.) RANK 5 NODE 7 --> 2.44004178 sigma out 1act.( 3.62096381 sig in 6act.) RANK 6 NODE 13 --> 2.43838882 sigma out 1act.( 3.47375751 sig in 6act.) RANK 7 NODE 4 --> 2.35925031 sigma out 1act.( 3.41162944 sig in 6act.) RANK 8 NODE 6 --> 2.34079885 sigma out 1act.( 4.04225302 sig in 6act.) RANK 9 NODE 15 --> 2.08306026 sigma out 1act.( 3.09658337 sig in 6act.) RANK 10 NODE 5 --> 1.97483647 sigma out 1act.( 2.86626363 sig in 6act.) RANK 11 NODE 14 --> 1.920946 sigma out 1act.( 3.7873292 sig in 6act.) RANK 12 NODE 8 --> 1.70189047 sigma out 1act.( 3.26162934 sig in 6act.) RANK 13 NODE 2 --> 1.45565832 sigma out 1act.( 3.05485535 sig in 6act.) RANK 14 NODE 9 --> 0.799851775 sigma out 1act.( 1.9015975 sig in 6act.) RANK 15 NODE 11 --> 0.0593172759 sigma out 1act.( 1.36823475 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 9.26216793 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.539986074 *** contribution from regularisation: 0.00852486119 *** contribution from error: -0.548510909 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4622.28087 -0.457177579 1.59567189 EXIT FROM BFGS code FG_LNSRCH 0. -0.501929283 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.538942277 *** contribution from regularisation: 0.0100308415 *** contribution from error: -0.548973143 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4613.34572 -0.501929283 1.29680121 EXIT FROM BFGS code FG_LNSRCH 0. -0.513189554 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.539660394 *** contribution from regularisation: 0.00876375753 *** contribution from error: -0.548424125 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4619.49285 -0.513189554 0.950002134 EXIT FROM BFGS code FG_LNSRCH 0. -0.51376307 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.540287495 *** contribution from regularisation: 0.00810932368 *** contribution from error: -0.548396826 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4624.86101 -0.51376307 1.40894794 EXIT FROM BFGS code FG_LNSRCH 0. -0.513765335 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.538144708 *** contribution from regularisation: 0.0102519765 *** contribution from error: -0.548396707 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4606.51873 -0.513765335 1.30201721 EXIT FROM BFGS code FG_LNSRCH 0. -0.513765335 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.53954792 *** contribution from regularisation: 0.0088487966 *** contribution from error: -0.548396707 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4618.52995 -0.513765335 1.25047672 EXIT FROM BFGS code FG_LNSRCH 0. -0.513765335 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.538847625 *** contribution from regularisation: 0.00954906549 *** contribution from error: -0.548396707 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4612.53565 -0.513765335 1.14475918 EXIT FROM BFGS code FG_LNSRCH 0. -0.513765335 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.540116966 *** contribution from regularisation: 0.00827970263 *** contribution from error: -0.548396647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4623.40139 -0.513765335 1.28565097 EXIT FROM BFGS code NEW_X -4623.40139 -0.513765335 1.28565097 ENTER BFGS code NEW_X -4623.40139 -0.513765335 1.28565097 EXIT FROM BFGS code CONVERGENC -4623.40139 -0.513765335 1.28565097 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 11.7747383 sigma out 15 active outputs RANK 2 NODE 2 --> 9.05211163 sigma out 15 active outputs RANK 3 NODE 6 --> 8.95161819 sigma out 15 active outputs RANK 4 NODE 4 --> 7.64484406 sigma out 15 active outputs RANK 5 NODE 3 --> 4.09120417 sigma out 15 active outputs RANK 6 NODE 5 --> 3.21151686 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 9.14607906 sigma in 6act. ( 7.40975904 sig out 1act.) RANK 2 NODE 1 --> 6.60438967 sigma in 6act. ( 4.839818 sig out 1act.) RANK 3 NODE 10 --> 5.56255722 sigma in 6act. ( 4.1227541 sig out 1act.) RANK 4 NODE 3 --> 5.24647951 sigma in 6act. ( 4.8134017 sig out 1act.) RANK 5 NODE 7 --> 5.17643118 sigma in 6act. ( 3.85709834 sig out 1act.) RANK 6 NODE 13 --> 5.10174227 sigma in 6act. ( 4.15483427 sig out 1act.) RANK 7 NODE 6 --> 5.02628946 sigma in 6act. ( 3.69049954 sig out 1act.) RANK 8 NODE 14 --> 4.88116741 sigma in 6act. ( 2.68154645 sig out 1act.) RANK 9 NODE 4 --> 4.50937939 sigma in 6act. ( 3.3818326 sig out 1act.) RANK 10 NODE 8 --> 4.47749519 sigma in 6act. ( 2.92422199 sig out 1act.) RANK 11 NODE 2 --> 4.23836803 sigma in 6act. ( 2.60484195 sig out 1act.) RANK 12 NODE 15 --> 4.15142822 sigma in 6act. ( 3.29635191 sig out 1act.) RANK 13 NODE 5 --> 3.81958055 sigma in 6act. ( 2.86793804 sig out 1act.) RANK 14 NODE 9 --> 2.39727449 sigma in 6act. ( 1.32092953 sig out 1act.) RANK 15 NODE 11 --> 1.62680542 sigma in 6act. ( 0.217694491 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 7.40975904 sigma out 1act.( 9.14607906 sig in 6act.) RANK 2 NODE 1 --> 4.839818 sigma out 1act.( 6.60438967 sig in 6act.) RANK 3 NODE 3 --> 4.8134017 sigma out 1act.( 5.24647951 sig in 6act.) RANK 4 NODE 13 --> 4.15483427 sigma out 1act.( 5.10174227 sig in 6act.) RANK 5 NODE 10 --> 4.1227541 sigma out 1act.( 5.56255722 sig in 6act.) RANK 6 NODE 7 --> 3.85709834 sigma out 1act.( 5.17643118 sig in 6act.) RANK 7 NODE 6 --> 3.69049954 sigma out 1act.( 5.02628946 sig in 6act.) RANK 8 NODE 4 --> 3.3818326 sigma out 1act.( 4.50937939 sig in 6act.) RANK 9 NODE 15 --> 3.29635191 sigma out 1act.( 4.15142822 sig in 6act.) RANK 10 NODE 8 --> 2.92422199 sigma out 1act.( 4.47749519 sig in 6act.) RANK 11 NODE 5 --> 2.86793804 sigma out 1act.( 3.81958055 sig in 6act.) RANK 12 NODE 14 --> 2.68154645 sigma out 1act.( 4.88116741 sig in 6act.) RANK 13 NODE 2 --> 2.60484195 sigma out 1act.( 4.23836803 sig in 6act.) RANK 14 NODE 9 --> 1.32092953 sigma out 1act.( 2.39727449 sig in 6act.) RANK 15 NODE 11 --> 0.217694491 sigma out 1act.( 1.62680542 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.8020592 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.538374126 *** contribution from regularisation: 0.0100225899 *** contribution from error: -0.548396707 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23570 Closing output file done