NNInput NNInputs_130.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= 189205 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 = 47500 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 47500 Chosen entries: 47500 Signal fraction: 1 Background fraction: 0.335203 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 47500 Entries to split: 47500 Test with : 23750 Train with : 23750 ********************************************* * 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= 47500 for Signal Prepared event 0 for Signal with 47500 events ====Entry 0 Variable Ht : 151.435 Variable LepAPt : 41.3573 Variable LepBPt : 14.9662 Variable MetSigLeptonsJets : 5.83672 Variable MetSpec : 56.7846 Variable SumEtLeptonsJets : 94.6508 Variable VSumJetLeptonsPt : 42.3463 Variable addEt : 113.108 Variable dPhiLepSumMet : 2.38762 Variable dPhiLeptons : 0.421366 Variable dRLeptons : 0.581604 Variable lep1_E : 44.5356 Variable lep2_E : 14.9672 ===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 = 2130 Ht = 151.435 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 41.3573 LepAPt = 41.3573 LepBEt = 14.9662 LepBPt = 14.9662 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 56.7846 MetDelPhi = 1.62286 MetSig = 5.01275 MetSigLeptonsJets = 5.83672 MetSpec = 56.7846 Mjj = 0 MostCentralJetEta = 2.41678 MtllMet = 115.132 Njets = 1 SB = 0 SumEt = 128.324 SumEtJets = 0 SumEtLeptonsJets = 94.6508 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 42.3463 addEt = 113.108 dPhiLepSumMet = 2.38762 dPhiLeptons = 0.421366 dRLeptons = 0.581604 diltype = 55 dimass = 14.4601 event = 2096 jet1_Et = 38.3273 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.5356 lep2_E = 14.9672 rand = 0.999742 run = 195245 weight = 2.27324e-06 ===Show End Prepared event 10000 for Signal with 47500 events Prepared event 20000 for Signal with 47500 events Prepared event 30000 for Signal with 47500 events Prepared event 40000 for Signal with 47500 events 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= 141705 for Background Prepared event 0 for Background with 141705 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===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 = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.27143 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepared event 110000 for Background with 141705 events Prepared event 120000 for Background with 141705 events Prepared event 130000 for Background with 141705 events Prepared event 140000 for Background with 141705 events Warning: found 4442 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 189205 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 4442 negative weights. Signal fraction: 62.8806114 % ------------------------------ 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 47.3116226 61.5380554 63.7458496 65.7405243 67.2456055 68.4501953 69.4498749 70.2996979 71.2577286 71.9922104 72.9014816 73.6688995 74.3039093 74.9740295 75.5672455 76.2090454 76.8466644 77.3041077 77.9587631 78.4971771 79.0974579 79.7184753 80.3664703 80.9730606 81.554657 82.2241211 82.8530121 83.5634155 84.3733826 85.3229065 86.2071533 87.1273651 88.2602844 89.2853851 90.3472595 91.5167084 92.4104767 93.5025864 94.6598969 95.7881012 96.8825989 98.002182 98.991394 100.067703 101.036591 102.072388 103.099304 104.048477 105.064163 106.150986 107.193367 108.280197 109.287933 110.344551 111.387695 112.461121 113.519928 114.514297 115.565292 116.528427 117.656097 118.67482 119.749908 120.93811 122.102829 123.202232 124.393433 125.610115 126.89222 128.329041 129.688889 131.30455 132.804932 134.558044 136.350723 138.008667 139.850464 141.882172 143.917847 146.143158 148.234985 150.598206 152.832108 155.17659 157.730362 160.542847 163.871948 167.399017 170.631958 174.647278 179.025131 184.029953 189.705078 195.962097 203.581787 212.586212 223.950745 237.855042 260.814117 310.024475 742.657471 ------------------------------ Transdef: Tab for variable 3 20.0002575 20.267561 20.5766563 20.8282661 21.0912819 21.3683167 21.5284786 21.7634697 21.9521656 22.1553288 22.3357849 22.5333767 22.7596283 22.9565544 23.1466827 23.3457546 23.5516777 23.7361946 23.8846512 24.0889473 24.287302 24.5120144 24.6788902 24.8710251 25.0627403 25.2528305 25.4227543 25.5778427 25.7113953 25.9180965 26.113636 26.2748833 26.4608688 26.6700821 26.8551598 27.082346 27.250351 27.4576149 27.6396751 27.8321762 28.0173569 28.2054405 28.4245491 28.6119461 28.8121376 28.9710865 29.1540585 29.3770351 29.6207123 29.8252373 30.0673904 30.305687 30.5398865 30.7491245 30.9906197 31.1870766 31.4448853 31.6987553 31.9159946 32.1642609 32.3847046 32.6538124 32.9275665 33.1758423 33.4557953 33.7416992 34.064167 34.3744507 34.6879349 34.9930344 35.3057785 35.6235771 35.9788666 36.3464432 36.7335815 37.0907211 37.514679 37.953949 38.394207 38.8277588 39.2974358 39.7671509 40.3108978 40.8137703 41.2902794 41.8686066 42.5436249 43.2123299 43.9878273 44.8831253 45.8797188 46.8478737 47.9797554 49.3113785 50.847847 52.6763382 55.2497406 58.4703407 62.9233932 70.4401855 168.389603 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1135826 10.2478704 10.3398342 10.4289989 10.5193958 10.6268301 10.7332497 10.8555908 10.9763985 11.0820274 11.2097626 11.3325481 11.4162931 11.546977 11.6787596 11.79109 11.9185286 12.0206413 12.1543741 12.2663994 12.3824005 12.5448179 12.6624737 12.7970333 12.937562 13.0799084 13.2290192 13.3861256 13.5035744 13.6477528 13.7845249 13.9160557 14.0685701 14.1944904 14.3401108 14.4882793 14.6623545 14.8160906 14.987072 15.1617002 15.3054905 15.4343042 15.5706005 15.7211514 15.8702755 16.0466995 16.2288933 16.4239635 16.5952873 16.7730751 16.9534149 17.1339149 17.327282 17.5555 17.7481918 17.9426575 18.0661621 18.28298 18.4740677 18.6888466 18.8932953 19.1026726 19.3204765 19.5444717 19.7864113 20.0135899 20.1827145 20.3787613 20.5816536 20.7937393 21.0304222 21.2573814 21.4904575 21.7280159 21.9568748 22.2385521 22.4984856 22.7566643 23.0596962 23.3450394 23.6490784 23.9699783 24.294075 24.616003 24.9882851 25.373806 25.8029976 26.1772079 26.5712452 27.0939331 27.5827141 28.1326103 28.7375031 29.5334549 30.4321251 31.5015068 32.9646568 34.9878693 39.3497162 70.1989212 ------------------------------ Transdef: Tab for variable 5 0.978936255 2.4141717 2.8037684 3.05618453 3.25162554 3.40378666 3.58788681 3.74598694 3.88660192 4.01915264 4.12207985 4.22860241 4.32020378 4.41596317 4.51052094 4.59986973 4.65640879 4.74865341 4.81800079 4.8993659 4.97311306 5.03203678 5.09265232 5.15470409 5.20115566 5.26477623 5.31837082 5.3736496 5.42842674 5.47536945 5.52131319 5.56869459 5.61008072 5.64978361 5.70080853 5.74399185 5.78887844 5.82862568 5.87540627 5.91296434 5.95382023 5.99680614 6.03434944 6.0726347 6.109622 6.15024519 6.19198608 6.23075771 6.27633381 6.30531502 6.3451004 6.38324642 6.42514229 6.46153641 6.4990468 6.53559208 6.57518768 6.6154623 6.65537167 6.69835472 6.7403841 6.77554989 6.81589794 6.85075378 6.89076185 6.93752003 6.98209095 7.02605629 7.06954336 7.11906004 7.16763926 7.20792913 7.25595045 7.29899311 7.34870434 7.40433502 7.44968319 7.50139618 7.55905247 7.61474037 7.6689291 7.72797966 7.78650856 7.84179688 7.90592861 7.96601963 8.04158783 8.11250496 8.18941498 8.2682209 8.3625164 8.44945908 8.55607986 8.68150139 8.82053185 8.99029732 9.20110321 9.49784088 9.94711113 10.8091078 18.5847588 ------------------------------ Transdef: Tab for variable 6 15.020978 19.405098 23.029686 25.3760777 26.2198448 26.9054565 27.5715256 28.2839317 28.9355698 29.5594864 30.1749077 30.7649231 31.2528267 31.8227501 32.3110504 32.7768326 33.2723083 33.6714554 34.1015167 34.5103378 34.8486214 35.2889252 35.6605911 36.0073471 36.3287849 36.6674881 36.9720993 37.2976303 37.6123466 37.91465 38.2467918 38.5999985 38.9206009 39.2918358 39.6237946 39.963089 40.2939072 40.5928726 40.8838615 41.2122688 41.5914536 41.982029 42.2920685 42.6224747 43.0077057 43.3907127 43.7574463 44.165802 44.5992203 45.0171814 45.4875336 45.9636536 46.457077 46.9226456 47.417717 47.9328918 48.4251213 48.900219 49.3409424 49.8706322 50.3458748 50.8251877 51.3665237 51.8953629 52.4117966 52.9127045 53.4229813 53.943985 54.4460182 54.9727402 55.4783287 55.9752731 56.5164375 56.9835587 57.5401459 58.1099319 58.7255859 59.3039017 59.8650208 60.4977913 61.1277771 61.8199234 62.5391922 63.2955017 64.0494537 64.8747559 65.7209854 66.6302338 67.7045288 68.8371964 70.1639099 71.6866608 73.2231598 75.2884827 76.9516449 79.698143 82.9434509 86.7802887 92.4283447 102.859589 236.562576 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.552494 33.5444756 34.1418686 34.7710037 35.3416519 35.8069077 36.2073975 36.5782471 36.9547653 37.3100471 37.5956039 37.9073639 38.2193527 38.4857941 38.7608948 39.022995 39.2819748 39.5021744 39.7444077 40.0853043 40.3767319 40.7163887 41.0474625 41.3924408 41.7138519 42.0835648 42.4260406 42.8550797 43.3124123 43.824791 44.3849564 44.9367065 45.3982468 45.9345284 46.543869 47.1752243 47.8626175 48.4549866 49.0488968 49.7443924 50.4794006 51.0640182 51.7451363 52.4102821 53.0165405 53.5827179 54.2575836 54.9307709 55.5727348 56.0953598 56.7692299 57.2969627 57.9185066 58.5819626 59.2457047 59.8989105 60.6637077 61.4238281 62.1824036 62.838665 63.7651978 64.6186829 65.5293274 66.5536194 67.6406403 68.8524323 70.1733093 71.3874054 72.6122818 74.0189209 75.4767456 76.9575806 78.5045776 79.9892883 81.5614166 83.1126175 84.8169098 86.4530182 88.3311081 90.1474228 92.1263123 93.960968 96.1866455 98.4088287 101.049774 103.822914 106.486282 109.876328 113.351051 117.135101 121.509583 126.406113 131.528625 137.839386 145.55687 155.321625 167.455948 186.939514 221.586853 498.085754 ------------------------------ Transdef: Tab for variable 8 1.54187214 21.7430954 26.4148922 29.1033211 30.6840172 31.5920563 32.3325882 32.9378891 33.3989105 33.8216057 34.2186356 34.6420403 34.9818039 35.3247032 35.6109695 35.9226036 36.1982498 36.4822998 36.7281837 37.0269699 37.2857666 37.5005646 37.7629547 38.0202942 38.223465 38.4743881 38.6791763 38.896244 39.161087 39.4343414 39.6767616 39.9757156 40.2569809 40.5083008 40.7872162 41.0524902 41.3461151 41.6881371 42.0037537 42.3291092 42.6808167 43.0509033 43.4014893 43.7350349 44.1475754 44.5547409 44.9332657 45.3485832 45.7715073 46.253952 46.6884232 47.1380768 47.5921326 48.0858498 48.4693832 48.9266357 49.3114319 49.8286209 50.3021774 50.7534523 51.1971664 51.6698608 52.1350441 52.6189041 53.0754776 53.5207481 53.9839172 54.4394684 54.8789062 55.3747025 55.8908005 56.3825836 56.8714905 57.3774948 57.8790588 58.4173126 58.9396591 59.5364914 60.1520195 60.7837791 61.4309692 62.0866776 62.7992477 63.601368 64.4057922 65.2504959 66.208931 67.2448883 68.4292908 69.7127838 71.1082153 72.8573456 74.8783264 77.0495758 79.710083 82.6886139 86.246376 90.9692535 98.8547592 115.658546 323.660004 ------------------------------ Transdef: Tab for variable 9 47.3116226 60.7751694 63.1860046 64.8782654 66.2977753 67.4533005 68.4831848 69.3942642 70.1333466 70.799408 71.5822906 72.3246536 73.0384903 73.6976624 74.2843475 74.8369293 75.4225922 75.858963 76.4394226 76.9453735 77.3175964 77.9082489 78.3617859 78.8117905 79.3796616 79.8003922 80.3554993 80.9362488 81.3587952 81.8710709 82.4244385 83.0054626 83.5723877 84.2080917 84.8494949 85.5362244 86.3344193 87.0102234 87.821701 88.5803833 89.359375 90.2283173 90.9987183 91.7911072 92.535965 93.2755127 94.1982574 95.1468506 96.0497437 96.9220047 97.8331757 98.6226807 99.393364 100.260651 101.13504 101.917267 102.677345 103.499969 104.227661 105.02327 105.812508 106.62648 107.449417 108.279297 109.07016 109.81926 110.544052 111.363907 112.184494 112.960991 113.749779 114.5401 115.325348 116.108086 116.841805 117.67865 118.442039 119.216934 120.036819 120.989746 121.90036 122.756729 123.693588 124.616455 125.63002 126.634415 127.727219 128.8685 130.08902 131.462936 132.788391 134.343948 136.31488 138.518234 141.592834 145.07666 149.59198 155.893463 166.379791 190.62706 382.729065 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.866541266 1.17095423 1.37705529 1.53802836 1.67602658 1.78569841 1.87165201 1.95364392 2.02659893 2.09680676 2.16342926 2.21735024 2.26372957 2.30926204 2.34986448 2.38896799 2.42768764 2.46192098 2.49219084 2.52290154 2.55147552 2.57793474 2.60326409 2.62544584 2.64980984 2.67392969 2.69525242 2.71627474 2.73320198 2.75161886 2.76920938 2.78381634 2.79983187 2.8134017 2.82592964 2.83685589 2.84983492 2.86088037 2.8707211 2.88175392 2.8917408 2.90039492 2.90991712 2.91697335 2.9236865 2.93196487 2.93948936 2.94763756 2.95433164 2.96071053 2.96775723 2.97427416 2.9792552 2.98495293 2.99019051 2.99523401 3.00106549 3.00580931 3.01107407 3.01544666 3.02011061 3.02458715 3.0288353 3.03237247 3.03683066 3.04097342 3.04464531 3.0482831 3.05209231 3.05519557 3.05913067 3.06220627 3.06619406 3.0696485 3.07310915 3.07608914 3.07928419 3.08254671 3.08545685 3.088377 3.09107089 3.0941999 3.09678173 3.09980249 3.10223413 3.10493612 3.1079545 3.1105237 3.11321926 3.11610126 3.11884832 3.12102389 3.12415981 3.12681198 3.12954521 3.13214397 3.13386059 3.13617945 3.13891602 3.14158416 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00570762716 0.0107756257 0.0176311135 0.0243031941 0.030857563 0.0393708907 0.0480314493 0.0562767982 0.0630245805 0.0715702772 0.0792936385 0.0879283547 0.0947322845 0.102904201 0.111254215 0.118683398 0.126587808 0.134884238 0.143370271 0.151105165 0.158484697 0.165497184 0.173218369 0.180253446 0.187916994 0.194615036 0.201870322 0.208578885 0.215097547 0.222043544 0.228492886 0.23335135 0.239266992 0.245669365 0.251780033 0.258033514 0.263664961 0.269447386 0.275399148 0.280599833 0.286391497 0.292627305 0.2986646 0.304181039 0.309825182 0.315812349 0.32153821 0.32752648 0.334002376 0.340011835 0.345187902 0.350319684 0.356025219 0.361346304 0.367464244 0.373212337 0.37903595 0.385195732 0.390612543 0.397043884 0.40266642 0.408614516 0.414609879 0.420801878 0.426434994 0.431416094 0.437989533 0.443850815 0.449492812 0.455832243 0.461777627 0.467936754 0.474306434 0.480599165 0.488251954 0.495275557 0.502931118 0.509750783 0.516645908 0.523716152 0.531897843 0.539786935 0.546274245 0.55507791 0.564302564 0.573672056 0.58142221 0.594688058 0.607235909 0.619099379 0.63353169 0.645645142 0.662638903 0.681227088 0.699746847 0.718451381 0.751177549 0.791523874 0.851910889 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.20003137 0.222174525 0.238664329 0.252019048 0.262521535 0.274116039 0.28303349 0.292428225 0.3020989 0.309811503 0.317865819 0.325733393 0.332972407 0.340660185 0.34787789 0.35433507 0.361269861 0.367676258 0.374365538 0.380818129 0.38776958 0.39378649 0.399001867 0.404251784 0.408750594 0.412945598 0.417036653 0.421651632 0.425104499 0.42918092 0.433011651 0.437136263 0.440868765 0.445149094 0.448774159 0.452888578 0.456922382 0.461042345 0.464939833 0.468979359 0.472500712 0.476620197 0.480163515 0.483878732 0.487225294 0.491140664 0.495050609 0.498316765 0.50236541 0.506913662 0.510624051 0.514486134 0.518184066 0.522553325 0.526001811 0.530124068 0.534438252 0.539226651 0.543025672 0.547424078 0.550202668 0.554207444 0.558718204 0.563283443 0.567726612 0.572679996 0.577709556 0.581637025 0.587063193 0.591814876 0.596602559 0.602160811 0.60752207 0.613971591 0.620230615 0.625009775 0.630618215 0.636767685 0.64336431 0.650767207 0.65811795 0.663615704 0.67102468 0.678230882 0.685621262 0.695223689 0.70300436 0.71144855 0.719866276 0.729088545 0.739679515 0.750873864 0.763035417 0.774985671 0.788153648 0.807502151 0.824810147 0.843063116 0.872867823 0.919062734 1.13469779 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.3914909 22.1963558 22.7040577 23.3425064 23.7818985 24.2926941 24.7455444 25.1517429 25.5458317 25.8672237 26.24473 26.6085148 26.9721909 27.3105106 27.6016273 27.9172783 28.2295341 28.5550289 28.8640652 29.1955757 29.4512711 29.782196 30.0773125 30.3516407 30.6382332 30.8986092 31.1721191 31.4664135 31.7531967 32.0233612 32.3086319 32.5783997 32.8846054 33.1847305 33.5133095 33.8063354 34.1279984 34.4511757 34.7412415 35.0628433 35.3954506 35.6811066 35.9834557 36.2644119 36.5756607 36.9011002 37.2375031 37.5621262 37.9170952 38.2375488 38.635231 39.020256 39.4279861 39.8048553 40.214119 40.6450424 41.0587006 41.4693451 41.9247284 42.4405212 42.8798065 43.335289 43.8151741 44.348774 44.860817 45.4237213 46.0265388 46.5810814 47.2032814 47.7646561 48.2743454 48.9328613 49.6018143 50.3053246 51.0373116 51.8292694 52.5506363 53.453125 54.2808151 55.1871681 56.112915 57.1314583 58.2864571 59.381012 60.5021515 61.8530731 63.1866684 64.6505737 66.4227295 67.9944 69.3709106 71.2482758 73.9711761 76.7958832 79.382019 82.7948914 88.188385 93.3731995 102.860428 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0093269 10.583189 11.017848 11.3417568 11.6023512 11.8817482 12.2075424 12.4191885 12.694149 12.9749813 13.2048645 13.4828968 13.6931162 13.9133139 14.1489029 14.4178219 14.6345396 14.8214931 15.0848961 15.3039074 15.4993382 15.7016201 15.9237556 16.1675968 16.3999672 16.6351509 16.8742714 17.0851803 17.3158379 17.5430908 17.755106 17.958725 18.1690559 18.3808556 18.5963078 18.8117828 19.0165462 19.2354622 19.4569626 19.7167892 19.9434624 20.1949577 20.4473896 20.6714211 20.9191437 21.1752815 21.3866348 21.6016064 21.782444 22.0054932 22.2694588 22.531126 22.7563038 23.0000153 23.2347031 23.487709 23.7544155 23.9964828 24.2996712 24.5816059 24.8439941 25.1294975 25.3962135 25.7020359 25.9515305 26.2645416 26.5358105 26.8299828 27.1525192 27.4318237 27.6945877 27.9608955 28.2175331 28.602354 28.9406319 29.313427 29.6943703 30.0850315 30.5455418 31.0277901 31.4935532 31.9585457 32.4725876 33.0415039 33.5824242 34.1402054 34.8109818 35.5614548 36.3427429 37.2071533 38.1618271 39.1548691 40.3358002 41.5724564 43.1906929 44.8834801 47.3333206 49.6976547 53.845665 60.1314392 115.483475 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 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 1.0 1 100.0 56.5 39.8 39.4 12.8 36.3 54.4 41.7 52.7 -27.2 -10.3 -26.8 3.9 7.3 2 56.5 100.0 63.5 51.2 20.8 60.3 94.4 66.3 90.0 -51.4 -19.7 -43.5 29.1 22.9 3 39.8 63.5 100.0 29.4 -3.0 25.9 66.8 46.8 68.7 -20.1 -21.2 -48.1 61.9 9.1 4 39.4 51.2 29.4 100.0 3.0 25.5 52.6 39.9 56.3 -13.7 -24.6 -53.2 9.3 67.8 5 12.8 20.8 -3.0 3.0 100.0 81.4 -6.8 48.9 47.8 27.6 0.2 1.5 -10.3 -2.9 6 36.3 60.3 25.9 25.5 81.4 100.0 38.0 73.6 76.1 -4.1 -8.9 -18.2 5.0 8.4 7 54.4 94.4 66.8 52.6 -6.8 38.0 100.0 58.2 77.6 -58.3 -19.1 -44.3 33.6 25.2 8 41.7 66.3 46.8 39.9 48.9 73.6 58.2 100.0 78.2 -11.1 -16.7 -33.2 20.6 18.7 9 52.7 90.0 68.7 56.3 47.8 76.1 77.6 78.2 100.0 -25.3 -21.7 -48.2 33.1 27.4 10 -27.2 -51.4 -20.1 -13.7 27.6 -4.1 -58.3 -11.1 -25.3 100.0 4.5 11.5 -7.6 -3.7 11 -10.3 -19.7 -21.2 -24.6 0.2 -8.9 -19.1 -16.7 -21.7 4.5 100.0 53.4 -8.1 -14.0 12 -26.8 -43.5 -48.1 -53.2 1.5 -18.2 -44.3 -33.2 -48.2 11.5 53.4 100.0 -22.3 -27.6 13 3.9 29.1 61.9 9.3 -10.3 5.0 33.6 20.6 33.1 -7.6 -8.1 -22.3 100.0 39.7 14 7.3 22.9 9.1 67.8 -2.9 8.4 25.2 18.7 27.4 -3.7 -14.0 -27.6 39.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 130.061224 TOTAL CORRELATION OF ALL VARIABLES 62.9140343 ROUND 1: MAX CORR ( 62.9077582) AFTER KILLING INPUT VARIABLE 7 CONTR 0.888628483 ROUND 2: MAX CORR ( 62.8765525) AFTER KILLING INPUT VARIABLE 11 CONTR 1.98120976 ROUND 3: MAX CORR ( 62.8153747) AFTER KILLING INPUT VARIABLE 10 CONTR 2.77300464 ROUND 4: MAX CORR ( 62.7029185) AFTER KILLING INPUT VARIABLE 8 CONTR 3.75703569 ROUND 5: MAX CORR ( 62.5659722) AFTER KILLING INPUT VARIABLE 5 CONTR 4.14187285 ROUND 6: MAX CORR ( 62.2805925) AFTER KILLING INPUT VARIABLE 12 CONTR 5.96897524 ROUND 7: MAX CORR ( 61.8946125) AFTER KILLING INPUT VARIABLE 14 CONTR 6.92308846 ROUND 8: MAX CORR ( 61.2861567) AFTER KILLING INPUT VARIABLE 9 CONTR 8.6573694 ROUND 9: MAX CORR ( 61.1630014) AFTER KILLING INPUT VARIABLE 6 CONTR 3.88333218 ROUND 10: MAX CORR ( 60.0892058) AFTER KILLING INPUT VARIABLE 4 CONTR 11.4105253 ROUND 11: MAX CORR ( 57.9821182) AFTER KILLING INPUT VARIABLE 3 CONTR 15.7729711 ROUND 12: MAX CORR ( 56.4835127) AFTER KILLING INPUT VARIABLE 13 CONTR 13.0972834 LAST REMAINING VARIABLE: 2 total correlation to target: 62.9140343 % total significance: 122.599342 sigma correlations of single variables to target: variable 2: 56.4835127 % , in sigma: 110.068311 variable 3: 39.7912699 % , in sigma: 77.5404653 variable 4: 39.3558673 % , in sigma: 76.6920049 variable 5: 12.7989389 % , in sigma: 24.9410406 variable 6: 36.3492987 % , in sigma: 70.8331637 variable 7: 54.4159293 % , in sigma: 106.039252 variable 8: 41.6620457 % , in sigma: 81.1860093 variable 9: 52.7497796 % , in sigma: 102.792458 variable 10: -27.1866429 % , in sigma: 52.9780766 variable 11: -10.2516851 % , in sigma: 19.9772573 variable 12: -26.7691263 % , in sigma: 52.1644701 variable 13: 3.89443569 % , in sigma: 7.58901027 variable 14: 7.27317624 % , in sigma: 14.1730955 variables sorted by significance: 1 most relevant variable 2 corr 56.4835129 , in sigma: 110.068311 2 most relevant variable 13 corr 13.0972834 , in sigma: 25.5224186 3 most relevant variable 3 corr 15.7729712 , in sigma: 30.7364788 4 most relevant variable 4 corr 11.4105253 , in sigma: 22.2354664 5 most relevant variable 6 corr 3.88333225 , in sigma: 7.56737321 6 most relevant variable 9 corr 8.65736961 , in sigma: 16.870446 7 most relevant variable 14 corr 6.92308855 , in sigma: 13.4908865 8 most relevant variable 12 corr 5.96897507 , in sigma: 11.6316244 9 most relevant variable 5 corr 4.14187288 , in sigma: 8.07118626 10 most relevant variable 8 corr 3.75703573 , in sigma: 7.32126167 11 most relevant variable 10 corr 2.77300453 , in sigma: 5.40369941 12 most relevant variable 11 corr 1.98120975 , in sigma: 3.8607445 13 most relevant variable 7 corr 0.888628483 , in sigma: 1.73165285 global correlations between input variables: variable 2: 99.1691369 % variable 3: 93.325745 % variable 4: 90.8747135 % variable 5: 95.1151144 % variable 6: 93.9080812 % variable 7: 98.7098814 % variable 8: 86.5544101 % variable 9: 98.8474785 % variable 10: 72.7416316 % variable 11: 54.4334464 % variable 12: 73.7340757 % variable 13: 83.9326117 % variable 14: 86.216327 % significance loss when removing single variables: variable 2: corr = 6.95608084 % , sigma = 13.555178 variable 3: corr = 13.8257588 % , sigma = 26.9419844 variable 4: corr = 16.1530662 % , sigma = 31.4771625 variable 5: corr = 5.2828892 % , sigma = 10.2946623 variable 6: corr = 3.74603192 % , sigma = 7.29981875 variable 7: corr = 0.888628483 % , sigma = 1.73165285 variable 8: corr = 3.09716333 % , sigma = 6.03538129 variable 9: corr = 8.87052219 % , sigma = 17.2858122 variable 10: corr = 2.68997682 % , sigma = 5.24190493 variable 11: corr = 1.91720883 % , sigma = 3.73602716 variable 12: corr = 3.97228295 % , sigma = 7.74070968 variable 13: corr = 8.15431836 % , sigma = 15.8901599 variable 14: corr = 7.11615448 % , sigma = 13.8671103 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 21.3440437 sigma out 15 active outputs RANK 2 NODE 10 --> 17.9394436 sigma out 15 active outputs RANK 3 NODE 2 --> 16.2989559 sigma out 15 active outputs RANK 4 NODE 11 --> 14.9276056 sigma out 15 active outputs RANK 5 NODE 5 --> 14.6846437 sigma out 15 active outputs RANK 6 NODE 9 --> 13.6266108 sigma out 15 active outputs RANK 7 NODE 12 --> 12.5219593 sigma out 15 active outputs RANK 8 NODE 7 --> 12.2307043 sigma out 15 active outputs RANK 9 NODE 1 --> 12.1330051 sigma out 15 active outputs RANK 10 NODE 8 --> 9.72993946 sigma out 15 active outputs RANK 11 NODE 6 --> 7.70071983 sigma out 15 active outputs RANK 12 NODE 3 --> 7.48914289 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 28.9951591 sigma in 12act. ( 29.3264046 sig out 1act.) RANK 2 NODE 11 --> 24.6830711 sigma in 12act. ( 26.9050026 sig out 1act.) RANK 3 NODE 9 --> 19.8429298 sigma in 12act. ( 22.2280445 sig out 1act.) RANK 4 NODE 14 --> 10.1525755 sigma in 12act. ( 10.3115349 sig out 1act.) RANK 5 NODE 6 --> 10.1355076 sigma in 12act. ( 8.02511024 sig out 1act.) RANK 6 NODE 15 --> 9.34292316 sigma in 12act. ( 10.2592068 sig out 1act.) RANK 7 NODE 12 --> 7.89433622 sigma in 12act. ( 9.58974934 sig out 1act.) RANK 8 NODE 2 --> 6.30419159 sigma in 12act. ( 4.29811049 sig out 1act.) RANK 9 NODE 3 --> 6.0221529 sigma in 12act. ( 6.93724823 sig out 1act.) RANK 10 NODE 5 --> 5.83399439 sigma in 12act. ( 9.43731976 sig out 1act.) RANK 11 NODE 7 --> 2.74478269 sigma in 12act. ( 2.77335644 sig out 1act.) RANK 12 NODE 8 --> 2.40035629 sigma in 12act. ( 1.44207323 sig out 1act.) RANK 13 NODE 13 --> 2.01104379 sigma in 12act. ( 0.59160018 sig out 1act.) RANK 14 NODE 1 --> 1.72342539 sigma in 12act. ( 1.03664994 sig out 1act.) RANK 15 NODE 10 --> 1.17472863 sigma in 12act. ( 0.78922683 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 29.3264046 sigma out 1act.( 28.9951591 sig in 12act.) RANK 2 NODE 11 --> 26.9050026 sigma out 1act.( 24.6830711 sig in 12act.) RANK 3 NODE 9 --> 22.2280445 sigma out 1act.( 19.8429298 sig in 12act.) RANK 4 NODE 14 --> 10.3115349 sigma out 1act.( 10.1525755 sig in 12act.) RANK 5 NODE 15 --> 10.2592068 sigma out 1act.( 9.34292316 sig in 12act.) RANK 6 NODE 12 --> 9.58974934 sigma out 1act.( 7.89433622 sig in 12act.) RANK 7 NODE 5 --> 9.43731976 sigma out 1act.( 5.83399439 sig in 12act.) RANK 8 NODE 6 --> 8.02511024 sigma out 1act.( 10.1355076 sig in 12act.) RANK 9 NODE 3 --> 6.93724823 sigma out 1act.( 6.0221529 sig in 12act.) RANK 10 NODE 2 --> 4.29811049 sigma out 1act.( 6.30419159 sig in 12act.) RANK 11 NODE 7 --> 2.77335644 sigma out 1act.( 2.74478269 sig in 12act.) RANK 12 NODE 8 --> 1.44207323 sigma out 1act.( 2.40035629 sig in 12act.) RANK 13 NODE 1 --> 1.03664994 sigma out 1act.( 1.72342539 sig in 12act.) RANK 14 NODE 10 --> 0.78922683 sigma out 1act.( 1.17472863 sig in 12act.) RANK 15 NODE 13 --> 0.59160018 sigma out 1act.( 2.01104379 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 51.1217079 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 23.0536366 sigma out 15 active outputs RANK 2 NODE 4 --> 22.1941261 sigma out 15 active outputs RANK 3 NODE 10 --> 19.6700573 sigma out 15 active outputs RANK 4 NODE 9 --> 15.6487007 sigma out 15 active outputs RANK 5 NODE 11 --> 15.3567266 sigma out 15 active outputs RANK 6 NODE 5 --> 15.3440485 sigma out 15 active outputs RANK 7 NODE 7 --> 14.0360584 sigma out 15 active outputs RANK 8 NODE 1 --> 13.6944647 sigma out 15 active outputs RANK 9 NODE 12 --> 13.4761877 sigma out 15 active outputs RANK 10 NODE 8 --> 10.6392174 sigma out 15 active outputs RANK 11 NODE 3 --> 9.31696606 sigma out 15 active outputs RANK 12 NODE 6 --> 8.49762917 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 27.4700546 sigma in 12act. ( 27.7001667 sig out 1act.) RANK 2 NODE 11 --> 26.6528511 sigma in 12act. ( 25.7877102 sig out 1act.) RANK 3 NODE 9 --> 21.2074547 sigma in 12act. ( 21.754961 sig out 1act.) RANK 4 NODE 5 --> 14.0571146 sigma in 12act. ( 11.730258 sig out 1act.) RANK 5 NODE 14 --> 12.1195984 sigma in 12act. ( 9.88590431 sig out 1act.) RANK 6 NODE 12 --> 11.7524729 sigma in 12act. ( 11.1673279 sig out 1act.) RANK 7 NODE 15 --> 10.7477131 sigma in 12act. ( 9.73573589 sig out 1act.) RANK 8 NODE 3 --> 8.47288036 sigma in 12act. ( 6.5656271 sig out 1act.) RANK 9 NODE 6 --> 8.45718765 sigma in 12act. ( 6.64521408 sig out 1act.) RANK 10 NODE 10 --> 8.44216633 sigma in 12act. ( 1.6277287 sig out 1act.) RANK 11 NODE 1 --> 8.35832787 sigma in 12act. ( 2.64700842 sig out 1act.) RANK 12 NODE 7 --> 8.15210629 sigma in 12act. ( 3.81321502 sig out 1act.) RANK 13 NODE 13 --> 5.92230701 sigma in 12act. ( 0.589738965 sig out 1act.) RANK 14 NODE 2 --> 5.82429695 sigma in 12act. ( 3.18490362 sig out 1act.) RANK 15 NODE 8 --> 5.72035122 sigma in 12act. ( 1.56915867 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 27.7001667 sigma out 1act.( 27.4700546 sig in 12act.) RANK 2 NODE 11 --> 25.7877102 sigma out 1act.( 26.6528511 sig in 12act.) RANK 3 NODE 9 --> 21.754961 sigma out 1act.( 21.2074547 sig in 12act.) RANK 4 NODE 5 --> 11.730258 sigma out 1act.( 14.0571146 sig in 12act.) RANK 5 NODE 12 --> 11.1673279 sigma out 1act.( 11.7524729 sig in 12act.) RANK 6 NODE 14 --> 9.88590431 sigma out 1act.( 12.1195984 sig in 12act.) RANK 7 NODE 15 --> 9.73573589 sigma out 1act.( 10.7477131 sig in 12act.) RANK 8 NODE 6 --> 6.64521408 sigma out 1act.( 8.45718765 sig in 12act.) RANK 9 NODE 3 --> 6.5656271 sigma out 1act.( 8.47288036 sig in 12act.) RANK 10 NODE 7 --> 3.81321502 sigma out 1act.( 8.15210629 sig in 12act.) RANK 11 NODE 2 --> 3.18490362 sigma out 1act.( 5.82429695 sig in 12act.) RANK 12 NODE 1 --> 2.64700842 sigma out 1act.( 8.35832787 sig in 12act.) RANK 13 NODE 10 --> 1.6277287 sigma out 1act.( 8.44216633 sig in 12act.) RANK 14 NODE 8 --> 1.56915867 sigma out 1act.( 5.72035122 sig in 12act.) RANK 15 NODE 13 --> 0.589738965 sigma out 1act.( 5.92230701 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 49.848011 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.434626937 *** contribution from regularisation: 0.0039775013 *** contribution from error: -0.438604444 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.473182976 *** contribution from regularisation: 0.00222901441 *** contribution from error: -0.475411981 *********************************************** -----------------> Test sample ENTER BFGS code START -44773.5158 -0.28247866 0.00483076228 EXIT FROM BFGS code FG_START 0. -0.28247866 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.490929633 *** contribution from regularisation: 0.00216972735 *** contribution from error: -0.493099362 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -46442.9262 -0.28247866 47.0270729 EXIT FROM BFGS code FG_LNSRCH 0. -0.273169965 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.519735813 *** contribution from regularisation: 0.00295623136 *** contribution from error: -0.522692025 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49168.0448 -0.273169965 -6.23860741 EXIT FROM BFGS code NEW_X -49168.0448 -0.273169965 -6.23860741 ENTER BFGS code NEW_X -49168.0448 -0.273169965 -6.23860741 EXIT FROM BFGS code FG_LNSRCH 0. -0.27395758 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.521588206 *** contribution from regularisation: 0.00294501474 *** contribution from error: -0.524533212 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49343.285 -0.27395758 3.65367937 EXIT FROM BFGS code NEW_X -49343.285 -0.27395758 3.65367937 ENTER BFGS code NEW_X -49343.285 -0.27395758 3.65367937 EXIT FROM BFGS code FG_LNSRCH 0. -0.272114336 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.522683978 *** contribution from regularisation: 0.00292771705 *** contribution from error: -0.525611699 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49446.9484 -0.272114336 11.1882334 EXIT FROM BFGS code NEW_X -49446.9484 -0.272114336 11.1882334 ENTER BFGS code NEW_X -49446.9484 -0.272114336 11.1882334 EXIT FROM BFGS code FG_LNSRCH 0. -0.26427868 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.523358524 *** contribution from regularisation: 0.00299832039 *** contribution from error: -0.526356816 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49510.7611 -0.26427868 8.99411488 EXIT FROM BFGS code NEW_X -49510.7611 -0.26427868 8.99411488 ENTER BFGS code NEW_X -49510.7611 -0.26427868 8.99411488 EXIT FROM BFGS code FG_LNSRCH 0. -0.257630318 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.524228215 *** contribution from regularisation: 0.00293237134 *** contribution from error: -0.527160585 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49593.0367 -0.257630318 5.6388731 EXIT FROM BFGS code NEW_X -49593.0367 -0.257630318 5.6388731 ENTER BFGS code NEW_X -49593.0367 -0.257630318 5.6388731 EXIT FROM BFGS code FG_LNSRCH 0. -0.177226543 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.521906555 *** contribution from regularisation: 0.00491275545 *** contribution from error: -0.526819289 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49373.4053 -0.177226543 8.09835434 EXIT FROM BFGS code FG_LNSRCH 0. -0.222969607 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 40.1569366 sigma out 15 active outputs RANK 2 NODE 1 --> 21.3079624 sigma out 15 active outputs RANK 3 NODE 9 --> 17.5325794 sigma out 15 active outputs RANK 4 NODE 6 --> 15.305275 sigma out 15 active outputs RANK 5 NODE 3 --> 14.7615089 sigma out 15 active outputs RANK 6 NODE 12 --> 11.834383 sigma out 15 active outputs RANK 7 NODE 10 --> 11.4016991 sigma out 15 active outputs RANK 8 NODE 8 --> 10.6066399 sigma out 15 active outputs RANK 9 NODE 4 --> 10.3485813 sigma out 15 active outputs RANK 10 NODE 7 --> 9.24106026 sigma out 15 active outputs RANK 11 NODE 11 --> 7.17666769 sigma out 15 active outputs RANK 12 NODE 5 --> 6.62190294 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 31.9568062 sigma in 12act. ( 36.4830704 sig out 1act.) RANK 2 NODE 10 --> 26.7204399 sigma in 12act. ( 24.122263 sig out 1act.) RANK 3 NODE 1 --> 20.7503262 sigma in 12act. ( 21.1796665 sig out 1act.) RANK 4 NODE 5 --> 19.3257256 sigma in 12act. ( 14.563283 sig out 1act.) RANK 5 NODE 11 --> 15.9365396 sigma in 12act. ( 12.4017115 sig out 1act.) RANK 6 NODE 15 --> 12.2527885 sigma in 12act. ( 11.2499666 sig out 1act.) RANK 7 NODE 3 --> 11.996274 sigma in 12act. ( 10.9943275 sig out 1act.) RANK 8 NODE 7 --> 11.7606373 sigma in 12act. ( 8.97290611 sig out 1act.) RANK 9 NODE 12 --> 10.2251692 sigma in 12act. ( 7.9843359 sig out 1act.) RANK 10 NODE 2 --> 6.9054966 sigma in 12act. ( 6.2989974 sig out 1act.) RANK 11 NODE 8 --> 5.56088352 sigma in 12act. ( 4.21848726 sig out 1act.) RANK 12 NODE 14 --> 5.39742231 sigma in 12act. ( 2.93499494 sig out 1act.) RANK 13 NODE 13 --> 5.34071112 sigma in 12act. ( 4.36694241 sig out 1act.) RANK 14 NODE 4 --> 4.31194067 sigma in 12act. ( 1.60916591 sig out 1act.) RANK 15 NODE 6 --> 3.39598536 sigma in 12act. ( 2.32478476 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 36.4830704 sigma out 1act.( 31.9568062 sig in 12act.) RANK 2 NODE 10 --> 24.122263 sigma out 1act.( 26.7204399 sig in 12act.) RANK 3 NODE 1 --> 21.1796665 sigma out 1act.( 20.7503262 sig in 12act.) RANK 4 NODE 5 --> 14.563283 sigma out 1act.( 19.3257256 sig in 12act.) RANK 5 NODE 11 --> 12.4017115 sigma out 1act.( 15.9365396 sig in 12act.) RANK 6 NODE 15 --> 11.2499666 sigma out 1act.( 12.2527885 sig in 12act.) RANK 7 NODE 3 --> 10.9943275 sigma out 1act.( 11.996274 sig in 12act.) RANK 8 NODE 7 --> 8.97290611 sigma out 1act.( 11.7606373 sig in 12act.) RANK 9 NODE 12 --> 7.9843359 sigma out 1act.( 10.2251692 sig in 12act.) RANK 10 NODE 2 --> 6.2989974 sigma out 1act.( 6.9054966 sig in 12act.) RANK 11 NODE 13 --> 4.36694241 sigma out 1act.( 5.34071112 sig in 12act.) RANK 12 NODE 8 --> 4.21848726 sigma out 1act.( 5.56088352 sig in 12act.) RANK 13 NODE 14 --> 2.93499494 sigma out 1act.( 5.39742231 sig in 12act.) RANK 14 NODE 6 --> 2.32478476 sigma out 1act.( 3.39598536 sig in 12act.) RANK 15 NODE 4 --> 1.60916591 sigma out 1act.( 4.31194067 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 56.6764374 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.528644383 *** contribution from regularisation: 0.00217310595 *** contribution from error: -0.530817509 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50010.8147 -0.222969607 -9.9742384 EXIT FROM BFGS code NEW_X -50010.8147 -0.222969607 -9.9742384 ENTER BFGS code NEW_X -50010.8147 -0.222969607 -9.9742384 EXIT FROM BFGS code FG_LNSRCH 0. -0.198574558 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.529315531 *** contribution from regularisation: 0.00400564121 *** contribution from error: -0.533321202 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50074.3054 -0.198574558 37.0974045 EXIT FROM BFGS code NEW_X -50074.3054 -0.198574558 37.0974045 ENTER BFGS code NEW_X -50074.3054 -0.198574558 37.0974045 EXIT FROM BFGS code FG_LNSRCH 0. -0.191107914 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.530903518 *** contribution from regularisation: 0.00308565004 *** contribution from error: -0.533989191 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50224.5374 -0.191107914 9.86415577 EXIT FROM BFGS code NEW_X -50224.5374 -0.191107914 9.86415577 ENTER BFGS code NEW_X -50224.5374 -0.191107914 9.86415577 EXIT FROM BFGS code FG_LNSRCH 0. -0.180378124 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.531339347 *** contribution from regularisation: 0.00323327072 *** contribution from error: -0.534572601 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50265.7654 -0.180378124 6.02236462 EXIT FROM BFGS code NEW_X -50265.7654 -0.180378124 6.02236462 ENTER BFGS code NEW_X -50265.7654 -0.180378124 6.02236462 EXIT FROM BFGS code FG_LNSRCH 0. -0.116821304 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.533046007 *** contribution from regularisation: 0.00351401907 *** contribution from error: -0.536559999 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50427.2204 -0.116821304 -17.0324097 EXIT FROM BFGS code NEW_X -50427.2204 -0.116821304 -17.0324097 ENTER BFGS code NEW_X -50427.2204 -0.116821304 -17.0324097 EXIT FROM BFGS code FG_LNSRCH 0. -0.0967439041 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.533773422 *** contribution from regularisation: 0.00351743726 *** contribution from error: -0.537290871 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50496.0308 -0.0967439041 -15.3840675 EXIT FROM BFGS code NEW_X -50496.0308 -0.0967439041 -15.3840675 ENTER BFGS code NEW_X -50496.0308 -0.0967439041 -15.3840675 EXIT FROM BFGS code FG_LNSRCH 0. -0.110433415 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.534471035 *** contribution from regularisation: 0.00341128465 *** contribution from error: -0.537882328 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50562.0274 -0.110433415 24.9940243 EXIT FROM BFGS code NEW_X -50562.0274 -0.110433415 24.9940243 ENTER BFGS code NEW_X -50562.0274 -0.110433415 24.9940243 EXIT FROM BFGS code FG_LNSRCH 0. -0.100848161 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.534690499 *** contribution from regularisation: 0.00346527738 *** contribution from error: -0.538155794 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50582.7929 -0.100848161 -3.67062688 EXIT FROM BFGS code NEW_X -50582.7929 -0.100848161 -3.67062688 ENTER BFGS code NEW_X -50582.7929 -0.100848161 -3.67062688 EXIT FROM BFGS code FG_LNSRCH 0. -0.0953082517 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.534913838 *** contribution from regularisation: 0.00349097908 *** contribution from error: -0.538404822 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50603.9182 -0.0953082517 -5.59437466 EXIT FROM BFGS code NEW_X -50603.9182 -0.0953082517 -5.59437466 ENTER BFGS code NEW_X -50603.9182 -0.0953082517 -5.59437466 EXIT FROM BFGS code FG_LNSRCH 0. -0.0815515369 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.535408318 *** contribution from regularisation: 0.00363719813 *** contribution from error: -0.539045513 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50650.695 -0.0815515369 -30.5939388 EXIT FROM BFGS code NEW_X -50650.695 -0.0815515369 -30.5939388 ENTER BFGS code NEW_X -50650.695 -0.0815515369 -30.5939388 EXIT FROM BFGS code FG_LNSRCH 0. -0.0790781453 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 72.4361954 sigma out 15 active outputs RANK 2 NODE 1 --> 25.1574764 sigma out 15 active outputs RANK 3 NODE 9 --> 24.6071815 sigma out 15 active outputs RANK 4 NODE 8 --> 23.9622021 sigma out 15 active outputs RANK 5 NODE 6 --> 17.7713699 sigma out 15 active outputs RANK 6 NODE 3 --> 16.5012913 sigma out 15 active outputs RANK 7 NODE 7 --> 16.464613 sigma out 15 active outputs RANK 8 NODE 10 --> 15.831851 sigma out 15 active outputs RANK 9 NODE 12 --> 14.6364241 sigma out 15 active outputs RANK 10 NODE 11 --> 14.5006275 sigma out 15 active outputs RANK 11 NODE 5 --> 8.51957512 sigma out 15 active outputs RANK 12 NODE 4 --> 6.4326725 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 63.3886604 sigma in 12act. ( 89.843483 sig out 1act.) RANK 2 NODE 10 --> 34.6778641 sigma in 12act. ( 41.0773773 sig out 1act.) RANK 3 NODE 1 --> 31.2777557 sigma in 12act. ( 36.4460678 sig out 1act.) RANK 4 NODE 3 --> 25.6539059 sigma in 12act. ( 31.8027992 sig out 1act.) RANK 5 NODE 15 --> 20.9382191 sigma in 12act. ( 26.8178196 sig out 1act.) RANK 6 NODE 5 --> 19.5442467 sigma in 12act. ( 17.6439686 sig out 1act.) RANK 7 NODE 12 --> 17.0624371 sigma in 12act. ( 19.261879 sig out 1act.) RANK 8 NODE 2 --> 14.3622494 sigma in 12act. ( 17.4555054 sig out 1act.) RANK 9 NODE 11 --> 12.65271 sigma in 12act. ( 9.6420784 sig out 1act.) RANK 10 NODE 4 --> 9.99645233 sigma in 12act. ( 8.79452801 sig out 1act.) RANK 11 NODE 13 --> 9.75425339 sigma in 12act. ( 10.7050056 sig out 1act.) RANK 12 NODE 6 --> 8.84781456 sigma in 12act. ( 9.68062782 sig out 1act.) RANK 13 NODE 7 --> 7.47488594 sigma in 12act. ( 5.94342852 sig out 1act.) RANK 14 NODE 8 --> 5.01560116 sigma in 12act. ( 4.96854401 sig out 1act.) RANK 15 NODE 14 --> 4.30556965 sigma in 12act. ( 1.45424628 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 89.843483 sigma out 1act.( 63.3886604 sig in 12act.) RANK 2 NODE 10 --> 41.0773773 sigma out 1act.( 34.6778641 sig in 12act.) RANK 3 NODE 1 --> 36.4460678 sigma out 1act.( 31.2777557 sig in 12act.) RANK 4 NODE 3 --> 31.8027992 sigma out 1act.( 25.6539059 sig in 12act.) RANK 5 NODE 15 --> 26.8178196 sigma out 1act.( 20.9382191 sig in 12act.) RANK 6 NODE 12 --> 19.261879 sigma out 1act.( 17.0624371 sig in 12act.) RANK 7 NODE 5 --> 17.6439686 sigma out 1act.( 19.5442467 sig in 12act.) RANK 8 NODE 2 --> 17.4555054 sigma out 1act.( 14.3622494 sig in 12act.) RANK 9 NODE 13 --> 10.7050056 sigma out 1act.( 9.75425339 sig in 12act.) RANK 10 NODE 6 --> 9.68062782 sigma out 1act.( 8.84781456 sig in 12act.) RANK 11 NODE 11 --> 9.6420784 sigma out 1act.( 12.65271 sig in 12act.) RANK 12 NODE 4 --> 8.79452801 sigma out 1act.( 9.99645233 sig in 12act.) RANK 13 NODE 7 --> 5.94342852 sigma out 1act.( 7.47488594 sig in 12act.) RANK 14 NODE 8 --> 4.96854401 sigma out 1act.( 5.01560116 sig in 12act.) RANK 15 NODE 14 --> 1.45424628 sigma out 1act.( 4.30556965 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 119.356209 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.535949647 *** contribution from regularisation: 0.00367724989 *** contribution from error: -0.539626896 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50701.9092 -0.0790781453 18.711956 EXIT FROM BFGS code NEW_X -50701.9092 -0.0790781453 18.711956 ENTER BFGS code NEW_X -50701.9092 -0.0790781453 18.711956 EXIT FROM BFGS code FG_LNSRCH 0. -0.0743182749 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.536338031 *** contribution from regularisation: 0.00360552571 *** contribution from error: -0.539943576 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50738.6531 -0.0743182749 -50.9522362 EXIT FROM BFGS code NEW_X -50738.6531 -0.0743182749 -50.9522362 ENTER BFGS code NEW_X -50738.6531 -0.0743182749 -50.9522362 EXIT FROM BFGS code FG_LNSRCH 0. -0.0842139199 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.536511779 *** contribution from regularisation: 0.00347651192 *** contribution from error: -0.539988279 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50755.0853 -0.0842139199 -7.55081129 EXIT FROM BFGS code NEW_X -50755.0853 -0.0842139199 -7.55081129 ENTER BFGS code NEW_X -50755.0853 -0.0842139199 -7.55081129 EXIT FROM BFGS code FG_LNSRCH 0. -0.0878808871 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.536487997 *** contribution from regularisation: 0.00354403304 *** contribution from error: -0.540032029 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50752.8367 -0.0878808871 1.81983078 EXIT FROM BFGS code FG_LNSRCH 0. -0.0847843066 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.536412537 *** contribution from regularisation: 0.00358379772 *** contribution from error: -0.539996326 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50745.6999 -0.0847843066 -6.08721685 EXIT FROM BFGS code FG_LNSRCH 0. -0.08422333 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.536424398 *** contribution from regularisation: 0.00356393028 *** contribution from error: -0.539988339 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50746.8221 -0.08422333 -7.48208094 EXIT FROM BFGS code FG_LNSRCH 0. -0.0842139199 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.536443472 *** contribution from regularisation: 0.00354477717 *** contribution from error: -0.53998822 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50748.6273 -0.0842139199 -7.4768033 EXIT FROM BFGS code FG_LNSRCH 0. -0.0842139199 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.53641957 *** contribution from regularisation: 0.00356871565 *** contribution from error: -0.539988279 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50746.3626 -0.0842139199 -7.46922302 EXIT FROM BFGS code FG_LNSRCH 0. -0.0842139199 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.536432266 *** contribution from regularisation: 0.00355599727 *** contribution from error: -0.539988279 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50747.5658 -0.0842139199 -7.45354509 EXIT FROM BFGS code FG_LNSRCH 0. -0.0842139199 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.536423206 *** contribution from regularisation: 0.0035650481 *** contribution from error: -0.539988279 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50746.7096 -0.0842139199 -7.45584869 EXIT FROM BFGS code NEW_X -50746.7096 -0.0842139199 -7.45584869 ENTER BFGS code NEW_X -50746.7096 -0.0842139199 -7.45584869 EXIT FROM BFGS code CONVERGENC -50746.7096 -0.0842139199 -7.45584869 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 119.199432 sigma out 15 active outputs RANK 2 NODE 1 --> 41.9246025 sigma out 15 active outputs RANK 3 NODE 8 --> 38.127594 sigma out 15 active outputs RANK 4 NODE 9 --> 37.3224487 sigma out 15 active outputs RANK 5 NODE 6 --> 29.0655575 sigma out 15 active outputs RANK 6 NODE 7 --> 28.2541924 sigma out 15 active outputs RANK 7 NODE 3 --> 28.0483036 sigma out 15 active outputs RANK 8 NODE 10 --> 25.0461102 sigma out 15 active outputs RANK 9 NODE 12 --> 24.5358124 sigma out 15 active outputs RANK 10 NODE 11 --> 22.0708981 sigma out 15 active outputs RANK 11 NODE 5 --> 13.7512398 sigma out 15 active outputs RANK 12 NODE 4 --> 10.7047834 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 105.669525 sigma in 12act. ( 146.794159 sig out 1act.) RANK 2 NODE 10 --> 57.9102554 sigma in 12act. ( 67.4468918 sig out 1act.) RANK 3 NODE 1 --> 50.1818314 sigma in 12act. ( 61.094162 sig out 1act.) RANK 4 NODE 3 --> 40.6495781 sigma in 12act. ( 51.4172707 sig out 1act.) RANK 5 NODE 15 --> 32.7663498 sigma in 12act. ( 42.779274 sig out 1act.) RANK 6 NODE 5 --> 31.2638302 sigma in 12act. ( 29.4173737 sig out 1act.) RANK 7 NODE 12 --> 26.5407352 sigma in 12act. ( 30.7294312 sig out 1act.) RANK 8 NODE 2 --> 23.6513443 sigma in 12act. ( 29.2911854 sig out 1act.) RANK 9 NODE 11 --> 19.9970417 sigma in 12act. ( 15.8054237 sig out 1act.) RANK 10 NODE 4 --> 15.7912169 sigma in 12act. ( 14.6760359 sig out 1act.) RANK 11 NODE 13 --> 15.6126747 sigma in 12act. ( 18.0042515 sig out 1act.) RANK 12 NODE 6 --> 14.0590544 sigma in 12act. ( 15.7983837 sig out 1act.) RANK 13 NODE 7 --> 9.69852638 sigma in 12act. ( 8.26029968 sig out 1act.) RANK 14 NODE 8 --> 7.09332418 sigma in 12act. ( 7.62328768 sig out 1act.) RANK 15 NODE 14 --> 4.7598629 sigma in 12act. ( 2.30088973 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 146.794159 sigma out 1act.( 105.669525 sig in 12act.) RANK 2 NODE 10 --> 67.4468918 sigma out 1act.( 57.9102554 sig in 12act.) RANK 3 NODE 1 --> 61.094162 sigma out 1act.( 50.1818314 sig in 12act.) RANK 4 NODE 3 --> 51.4172707 sigma out 1act.( 40.6495781 sig in 12act.) RANK 5 NODE 15 --> 42.779274 sigma out 1act.( 32.7663498 sig in 12act.) RANK 6 NODE 12 --> 30.7294312 sigma out 1act.( 26.5407352 sig in 12act.) RANK 7 NODE 5 --> 29.4173737 sigma out 1act.( 31.2638302 sig in 12act.) RANK 8 NODE 2 --> 29.2911854 sigma out 1act.( 23.6513443 sig in 12act.) RANK 9 NODE 13 --> 18.0042515 sigma out 1act.( 15.6126747 sig in 12act.) RANK 10 NODE 11 --> 15.8054237 sigma out 1act.( 19.9970417 sig in 12act.) RANK 11 NODE 6 --> 15.7983837 sigma out 1act.( 14.0590544 sig in 12act.) RANK 12 NODE 4 --> 14.6760359 sigma out 1act.( 15.7912169 sig in 12act.) RANK 13 NODE 7 --> 8.26029968 sigma out 1act.( 9.69852638 sig in 12act.) RANK 14 NODE 8 --> 7.62328768 sigma out 1act.( 7.09332418 sig in 12act.) RANK 15 NODE 14 --> 2.30088973 sigma out 1act.( 4.7598629 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 195.300125 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.536433995 *** contribution from regularisation: 0.00355425943 *** contribution from error: -0.539988279 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done