NNInput NNInputs_125.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= 80723 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 = 22033 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 22033 Chosen entries: 22033 Signal fraction: 1 Background fraction: 0.375413 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 22033 Entries to split: 22033 Test with : 11016 Train with : 11016 ********************************************* * 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= 22033 for Signal Prepared event 0 for Signal with 22033 events ====Entry 0 Variable Ht : 120.494 Variable LepAPt : 52.8932 Variable LepBPt : 13.787 Variable MetSigLeptonsJets : 6.59008 Variable MetSpec : 53.8132 Variable SumEtLeptonsJets : 66.6802 Variable VSumJetLeptonsPt : 66.139 Variable addEt : 120.494 Variable dPhiLepSumMet : 2.99118 Variable dPhiLeptons : 0.315251 Variable dRLeptons : 0.406645 Variable lep1_E : 70.3851 Variable lep2_E : 15.8115 ===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 = 2125 Ht = 120.494 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 52.8933 LepAPt = 52.8932 LepBEt = 13.787 LepBPt = 13.787 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 53.8132 MetDelPhi = 2.92651 MetSig = 4.22058 MetSigLeptonsJets = 6.59008 MetSpec = 53.8132 Mjj = 0 MostCentralJetEta = 0 MtllMet = 129.103 Njets = 0 SB = 0 SumEt = 162.568 SumEtJets = 0 SumEtLeptonsJets = 66.6802 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 66.139 addEt = 120.494 dPhiLepSumMet = 2.99118 dPhiLeptons = 0.315251 dRLeptons = 0.406645 diltype = 49 dimass = 10.9671 event = 2092 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 70.3851 lep2_E = 15.8115 rand = 0.999742 run = 235158 weight = 1.4937e-06 ===Show End Prepared event 10000 for Signal with 22033 events Prepared event 20000 for Signal with 22033 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= 58690 for Background Prepared event 0 for Background with 58690 events ====Entry 0 Variable Ht : 65.1543 Variable LepAPt : 20.8407 Variable LepBPt : 10.82 Variable MetSigLeptonsJets : 5.95247 Variable MetSpec : 33.4933 Variable SumEtLeptonsJets : 31.6607 Variable VSumJetLeptonsPt : 31.4507 Variable addEt : 65.1543 Variable dPhiLepSumMet : 3.01433 Variable dPhiLeptons : 0.243032 Variable dRLeptons : 0.763155 Variable lep1_E : 24.0883 Variable lep2_E : 10.9808 ===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 = 65.1543 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8411 LepAPt = 20.8407 LepBEt = 10.82 LepBPt = 10.82 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.4933 MetDelPhi = 2.93145 MetSig = 3.89076 MetSigLeptonsJets = 5.95247 MetSpec = 33.4933 Mjj = 0 MostCentralJetEta = 0 MtllMet = 67.7985 Njets = 0 SB = 0 SumEt = 74.1048 SumEtJets = 0 SumEtLeptonsJets = 31.6607 Target = 0 TrainWeight = 1.10527 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.4507 addEt = 65.1543 dPhiLepSumMet = 3.01433 dPhiLeptons = 0.243032 dRLeptons = 0.763155 diltype = 110 dimass = 11.6846 event = 12144548 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 24.0883 lep2_E = 10.9808 rand = 0.999742 run = 272126 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 58690 events Prepared event 20000 for Background with 58690 events Prepared event 30000 for Background with 58690 events Prepared event 40000 for Background with 58690 events Prepared event 50000 for Background with 58690 events Warning: found 2004 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 80723 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 2004 negative weights. Signal fraction: 63.3233948 % ------------------------------ 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 46.4561081 60.3469849 63.5625496 65.7592163 67.0512238 68.2324677 69.1425323 69.7869873 70.6638641 71.4055176 71.9964752 72.6439896 73.3578796 73.9087219 74.5048981 75.158493 75.8267517 76.4841919 76.9738007 77.4349213 78.2168579 78.7256927 79.2865295 79.7764435 80.6595764 81.4056549 82.0937653 82.8018494 83.4923248 84.2211227 85.0352554 86.057785 86.9276581 87.9227448 88.8974152 90.152832 91.4014587 92.6469574 93.9912262 95.2036285 96.3140717 97.4352417 98.4525299 99.5030518 100.497391 101.461235 102.335449 103.418175 104.490776 105.346878 106.490799 107.491135 108.309052 109.095596 110.120911 111.031921 111.947807 112.920471 113.910454 114.929581 115.859329 116.897667 118.041565 119.166626 120.371819 121.356094 122.378754 123.614014 124.96283 126.256538 127.6922 129.076721 130.749146 132.287979 134.229034 136.171234 138.012787 140.021713 141.758209 143.370239 145.663452 147.900909 150.285812 152.801727 155.187225 157.87265 161.018188 164.219879 167.849228 171.832642 176.329819 180.697388 185.848877 192.621155 199.442917 208.76416 221.129822 236.242096 257.493103 295.91156 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0001068 20.2723656 20.5133991 20.7220421 20.9658546 21.1646233 21.3386421 21.526207 21.71875 21.9139404 22.0831299 22.2432747 22.4444084 22.5882187 22.7894478 23.0276814 23.2067566 23.3813038 23.5448875 23.7094269 23.8801537 24.0944157 24.2372246 24.4615402 24.6217842 24.8418026 25.0560894 25.2195091 25.3876839 25.5917225 25.7921982 25.9377956 26.0659485 26.2351608 26.4179325 26.5716095 26.8142586 27.0293674 27.3022232 27.5539417 27.7316837 27.8895512 28.0772438 28.287262 28.5373554 28.7893963 28.9941139 29.1920776 29.405014 29.6797886 29.8911152 30.1228142 30.3759232 30.6136818 30.8663597 31.1252098 31.3845367 31.6497955 31.9169426 32.1775208 32.4051819 32.6980286 32.951664 33.2530365 33.5073662 33.8573723 34.1130676 34.4261169 34.7710991 35.0734406 35.4322548 35.7801514 36.1690216 36.5243759 36.9382172 37.3582611 37.7678452 38.2060242 38.7330246 39.1678276 39.6203613 40.0982361 40.591423 41.068428 41.6709442 42.3313751 42.9922867 43.7379684 44.5783997 45.4841003 46.5403023 47.533371 48.8643112 50.1885605 51.7807999 53.7499199 56.1532822 59.4375076 65.0103455 73.2219391 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0004005 10.0647068 10.1703806 10.2977028 10.434535 10.5308952 10.6332779 10.7363462 10.8414078 10.9422712 11.0514412 11.1900387 11.2833385 11.3884525 11.5075397 11.60499 11.7520514 11.8972597 12.0182343 12.1312428 12.2344837 12.3570633 12.4514351 12.5707817 12.6947823 12.8494177 12.9676399 13.0868082 13.2215843 13.3512917 13.4905882 13.6521063 13.8170376 13.956892 14.0605974 14.1592484 14.2984791 14.3968525 14.5756245 14.723053 14.8804798 15.0499821 15.2224874 15.3744411 15.522604 15.6579828 15.843462 15.9652014 16.1432037 16.3215523 16.508997 16.6916428 16.8517799 17.010788 17.1979408 17.3749352 17.5288239 17.7097282 17.8958549 18.0842705 18.2754669 18.5024738 18.689003 18.8636208 19.0337944 19.2142982 19.3723335 19.6229439 19.8617859 20.1022129 20.3233662 20.5406971 20.7462654 21.0001831 21.2375679 21.4725571 21.6937313 21.9299545 22.2047729 22.4490395 22.7524204 23.0858383 23.3864269 23.7234764 24.0777321 24.4368916 24.7965107 25.167263 25.588871 26.0112247 26.5026188 27.0690842 27.6503792 28.3389854 29.0746918 30.0690594 31.0317955 32.4842987 34.8672867 39.1812286 71.4833908 ------------------------------ Transdef: Tab for variable 5 0.976250172 1.98731303 2.33334923 2.60743475 2.7996006 2.99000263 3.11649275 3.30126953 3.45233798 3.60159254 3.72376204 3.86208534 3.98477411 4.11585045 4.2393589 4.32748032 4.43467236 4.53218794 4.61318016 4.70744705 4.76960468 4.85994625 4.94447041 5.01967812 5.0866642 5.14999104 5.20069885 5.26125479 5.29906368 5.35509539 5.40363693 5.45690823 5.50259018 5.53491592 5.58977604 5.63120413 5.67211151 5.71088409 5.75962877 5.79419899 5.83876705 5.87275028 5.90023565 5.93913746 5.98255014 6.02401447 6.05655289 6.09711409 6.13251257 6.1781683 6.21511889 6.25549126 6.29084873 6.32595491 6.36677361 6.41240263 6.45212841 6.49634695 6.53150225 6.57700634 6.62243176 6.65888596 6.69246769 6.73905087 6.778965 6.82149935 6.86030912 6.89825344 6.94268799 6.9798727 7.02177858 7.06585836 7.10412264 7.15370464 7.20102072 7.25832939 7.30864525 7.35839558 7.41249228 7.47333717 7.5234766 7.58206177 7.64196825 7.70135498 7.76116228 7.81488895 7.87756062 7.94603157 8.02324104 8.11159515 8.21192646 8.3010416 8.41059685 8.54352665 8.65329266 8.80612373 8.97847748 9.22056007 9.61612701 10.3271179 16.420042 ------------------------------ Transdef: Tab for variable 6 15.0050735 16.6264915 18.3028431 19.5368805 20.9958191 22.4998665 23.8977451 25.1993752 26.3291874 27.1006184 28.0475025 28.8205605 29.491169 30.2784615 30.8217773 31.4988556 32.0328255 32.5222244 32.8431969 33.2112045 33.6362648 33.9718399 34.3052292 34.6604843 34.9752045 35.3171539 35.6541023 35.9212875 36.252594 36.598175 36.9394951 37.2889786 37.5359879 37.8629875 38.2265358 38.5264206 38.8601799 39.1794586 39.5494308 39.879734 40.1822052 40.4677124 40.815918 41.1012802 41.550621 41.988121 42.3523712 42.7261887 43.0879898 43.4555054 43.7975502 44.2414703 44.6368599 45.0849762 45.5183258 46.0003891 46.5145645 47.0166702 47.4918137 47.9902992 48.4777908 48.9353256 49.4430923 49.9677391 50.4527893 50.9797821 51.440834 51.9862061 52.4764404 52.9685898 53.4772568 54.0482903 54.5327148 55.0850143 55.644165 56.1213837 56.6699753 57.2990112 57.8515472 58.5321846 59.0940437 59.6725998 60.3671722 61.0707855 61.8560333 62.6596184 63.4759178 64.3471069 65.2665863 66.2756042 67.5456848 68.9410172 70.4311371 72.1374207 74.1562653 76.7583618 80.2641449 84.1123505 89.4955826 99.4398804 214.544067 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.2959595 33.1691818 33.8237839 34.3697586 34.9290466 35.3463097 35.7439232 36.0987854 36.4292755 36.7784958 37.100174 37.3998756 37.7182388 37.9894066 38.2503433 38.560791 38.8142052 39.0918732 39.3169632 39.5360413 39.7756691 40.1208878 40.5315094 40.8716278 41.2210045 41.5926514 42.0414124 42.4224167 42.8654251 43.369133 43.8939209 44.3509064 44.9722519 45.4519691 46.1307831 46.651722 47.2797852 47.9636078 48.5779228 49.2728958 49.9891663 50.6310577 51.3130569 51.8761215 52.5728149 53.2417297 53.8430099 54.5251427 55.2322464 55.8644142 56.3325081 56.9479523 57.6742859 58.372139 59.0947075 59.8426819 60.6484299 61.4859085 62.3511429 63.3831406 64.3510437 65.2417297 66.3816223 67.5433502 68.594368 69.7466431 71.0943146 72.7112122 73.9848022 75.0204239 76.3582535 77.480278 78.9141464 80.3412933 82.0497284 83.662262 85.2845154 87.0181427 88.7887192 90.6220245 92.6174164 94.3828735 96.5840912 98.8577271 101.629333 104.274109 107.25264 110.166718 113.742599 117.668793 122.56633 126.79364 132.460358 139.304413 146.520676 156.972855 170.128448 189.76535 216.254623 475.479645 ------------------------------ Transdef: Tab for variable 8 2.53947878 17.9542084 22.4090614 25.3409538 28.0432529 29.6571274 30.7928162 31.6286144 32.1860237 32.6492653 33.108902 33.57444 33.9308929 34.3082008 34.6850815 34.9850426 35.2621536 35.5510712 35.8836594 36.1455956 36.4058914 36.6788559 36.9606514 37.2257004 37.4683151 37.7196121 37.9735909 38.2055588 38.4757195 38.6480103 38.8853569 39.1440887 39.3547401 39.5920181 39.8252258 40.1426773 40.3800507 40.6032028 40.928833 41.2582474 41.5595207 41.8763504 42.211113 42.5329132 42.921814 43.3196602 43.7745056 44.1144333 44.388855 44.7626648 45.2045135 45.6226425 46.0154648 46.5668335 46.9302597 47.3796158 47.7970238 48.2432251 48.7235184 49.1649551 49.5893288 50.0602226 50.4934845 50.9538574 51.4232941 51.8853912 52.3336563 52.7934837 53.283165 53.7327347 54.2285004 54.7547836 55.3018723 55.7094498 56.2349358 56.8225021 57.3457336 57.9038963 58.4784012 59.0848923 59.7913628 60.4484406 61.0919571 61.7636986 62.5361633 63.3210907 64.1849213 65.1249237 66.2040634 67.358963 68.7983093 70.4228973 72.0169525 73.851059 75.8766785 78.6454773 82.1429291 87.0427856 93.8096313 105.896133 326.868286 ------------------------------ Transdef: Tab for variable 9 46.4561081 59.1106262 61.9452782 63.9583435 65.8348083 66.7746429 67.8905334 68.5930862 69.318222 69.8818665 70.6628342 71.3065186 71.8028183 72.3514862 73.029007 73.5824738 74.0471115 74.6382751 75.2030945 75.7813644 76.2344131 76.7415695 77.1061096 77.6854706 78.21875 78.6329346 79.0958862 79.5967712 80.0609894 80.8080444 81.4056549 81.9274292 82.4534607 83.0691681 83.5756683 84.1654816 84.8384857 85.487999 86.2349472 86.9846802 87.5819092 88.3344727 88.997467 89.8003845 90.5724792 91.5494614 92.3705063 93.2072144 94.1407928 94.9327164 95.8390198 96.6123199 97.5318756 98.2885437 99.0591125 99.8463287 100.601852 101.349815 102.085281 102.911606 103.598366 104.451096 105.122543 105.930038 106.76918 107.484169 108.13942 108.854095 109.591866 110.331856 111.077332 111.757217 112.558655 113.325714 114.098892 114.906693 115.584854 116.38636 117.191658 117.934792 118.807205 119.691208 120.47554 121.512375 122.380447 123.377487 124.451385 125.613159 126.834366 128.236206 129.783035 131.542831 133.498901 135.913361 138.981766 142.046204 146.52037 152.358002 162.090302 180.76886 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0306126494 0.830415726 1.08710194 1.28433943 1.43991017 1.57847548 1.68888855 1.80096197 1.88217807 1.96378708 2.03612494 2.10198498 2.15526533 2.20569849 2.24860954 2.29262495 2.33203983 2.37030172 2.40834284 2.44159555 2.47540712 2.50537062 2.53279829 2.55941677 2.58428144 2.60739708 2.62915087 2.65233564 2.67399883 2.6956768 2.71647644 2.73656249 2.7566216 2.7735157 2.79150057 2.80795527 2.82121086 2.83077288 2.84531403 2.85576725 2.86892915 2.88035965 2.89337969 2.9026804 2.91332817 2.92331123 2.93257499 2.93823767 2.94583941 2.95339942 2.96024132 2.96696568 2.97261667 2.97911501 2.98333454 2.98890805 2.9930346 2.9988215 3.0040431 3.00806522 3.013762 3.0184741 3.0228219 3.02731442 3.03128672 3.03508949 3.03923416 3.04331541 3.04706049 3.05087662 3.05491257 3.05901003 3.06237268 3.06628656 3.06984949 3.07322502 3.07667971 3.07949543 3.08248377 3.08579969 3.08902097 3.09158015 3.09452438 3.09694672 3.09981942 3.10206699 3.10491943 3.10717797 3.11055207 3.11279845 3.11555123 3.11849403 3.12091923 3.12356424 3.12629604 3.12882328 3.13144422 3.13405991 3.13642788 3.13891578 3.1415906 ------------------------------ Transdef: Tab for variable 11 1.09672546E-05 0.00551402569 0.0107147694 0.0159810781 0.0213396493 0.0270304233 0.0344488323 0.0441799164 0.0512337685 0.0585820526 0.0660044998 0.0735089332 0.0812963247 0.0886698365 0.0961091071 0.102781415 0.109305024 0.11671868 0.123850271 0.130396158 0.136548609 0.141361713 0.149443626 0.155045033 0.161388516 0.168106586 0.174897194 0.18078804 0.18513602 0.189362496 0.194898903 0.200832605 0.205971599 0.210531771 0.216602325 0.221156865 0.225842953 0.23000741 0.234544635 0.239590704 0.246751547 0.252634883 0.257874489 0.2629444 0.268193007 0.272504747 0.276990712 0.282095313 0.288358152 0.293755352 0.299541235 0.306169033 0.311352253 0.316622674 0.321724296 0.327000856 0.333481312 0.33874926 0.344990343 0.350626886 0.355530143 0.360367179 0.366463393 0.372943878 0.38036561 0.386601806 0.393607616 0.400805295 0.407221317 0.415184736 0.421998858 0.428137004 0.434419453 0.441811144 0.448507011 0.455856204 0.463041842 0.469956636 0.47683385 0.486321032 0.494903028 0.504242539 0.512771606 0.52201879 0.532512307 0.542142391 0.552389503 0.563154399 0.57592988 0.586634398 0.598405719 0.611220002 0.626640439 0.64341116 0.661656737 0.679102063 0.707260013 0.744573712 0.790487111 0.835264325 1.16874075 ------------------------------ Transdef: Tab for variable 12 0.200026914 0.208912969 0.218441099 0.225903973 0.231945097 0.238486141 0.246401235 0.253536612 0.260272264 0.267528623 0.274531364 0.281763226 0.287953049 0.29389134 0.300848424 0.307719231 0.313874245 0.319678843 0.326183289 0.332599401 0.339249164 0.345630288 0.350702345 0.356554866 0.362766534 0.367927909 0.373109162 0.378663421 0.384710252 0.389991641 0.394733518 0.400343597 0.405900955 0.409909666 0.414096504 0.418946028 0.424076438 0.427938759 0.432143807 0.436252177 0.440451682 0.445169479 0.448681533 0.45398128 0.457999527 0.462757796 0.466845989 0.471274316 0.475382209 0.478926361 0.483310103 0.487493336 0.492092371 0.495638371 0.500093162 0.505738378 0.509934306 0.51315999 0.518190444 0.522829294 0.527569413 0.532416821 0.537033796 0.541274786 0.546991825 0.552562475 0.557920814 0.56268239 0.567961037 0.573923945 0.579313755 0.584338784 0.589079261 0.595062613 0.601505578 0.606897473 0.613613605 0.619554043 0.62559855 0.63104105 0.636940598 0.644310653 0.651348948 0.660128474 0.6673702 0.675526917 0.683652759 0.695716262 0.705219269 0.717719972 0.729174078 0.739054799 0.753556013 0.76580143 0.781065583 0.802163005 0.823402762 0.84864521 0.881693423 0.921030521 1.169052 ------------------------------ Transdef: Tab for variable 13 20.0471687 21.2221394 21.6858902 22.3236523 22.7945499 23.2829533 23.5971699 23.9520493 24.2366104 24.5551548 24.8793831 25.2193642 25.5842094 25.8735237 26.1318951 26.4267769 26.760973 27.0769043 27.3929253 27.6753674 27.9213142 28.2379074 28.5148411 28.7794876 29.0889091 29.3743629 29.669342 29.9659691 30.2459373 30.456398 30.665657 30.8265724 31.0743885 31.3133354 31.5437584 31.8298454 32.102417 32.3507462 32.5957413 32.8599243 33.0854416 33.3734741 33.6852341 34.000946 34.2164764 34.5537872 34.8796005 35.2308884 35.5495911 35.8820648 36.1438675 36.4610939 36.7963867 37.1050186 37.4440002 37.8581085 38.2285995 38.5873146 38.9523773 39.3434677 39.728054 40.0890198 40.4953728 40.8935165 41.3611374 41.7663841 42.309639 42.8238068 43.2038078 43.6953278 44.1664658 44.655838 45.0647354 45.5549698 46.1771927 46.6980972 47.3193855 47.9158859 48.6842499 49.4414291 50.2453423 51.081089 52.0509262 52.8419952 53.7796097 54.758709 55.8724518 56.8093491 58.002594 59.309742 60.8924332 62.5921707 64.8061066 67.0245667 69.5214539 72.928772 76.7472229 81.12117 88.4041443 100.196136 248.743759 ------------------------------ Transdef: Tab for variable 14 10.0118752 10.5189877 10.8452721 11.1014891 11.3601952 11.6317978 11.9237089 12.2088814 12.4211578 12.6286011 12.845561 13.0530386 13.2248278 13.4147787 13.6430244 13.8387794 14.0027685 14.1531096 14.3027411 14.5038843 14.6820555 14.8544235 15.059083 15.2178268 15.3671379 15.5355616 15.7374668 15.9330997 16.1189384 16.3091049 16.4741325 16.6860504 16.8940086 17.0707703 17.281744 17.4707031 17.6800709 17.8715591 18.0615253 18.2541809 18.449482 18.6566963 18.8473625 19.0406342 19.1676216 19.3568935 19.5853462 19.8077297 20.0118065 20.1991215 20.428875 20.6579418 20.8754044 21.1065006 21.328701 21.5606689 21.808712 22.0622749 22.3042564 22.5252151 22.7776604 23.0097847 23.2814445 23.4863453 23.7677078 23.9626274 24.2084961 24.485672 24.7457447 25.0280914 25.3371239 25.6531906 25.9289627 26.3099022 26.6269112 26.9286785 27.2247124 27.5489082 27.9414902 28.3065395 28.7676907 29.2297039 29.6027813 30.1322327 30.6376076 31.1598549 31.6882019 32.2253036 32.9228897 33.583931 34.4277077 35.215004 36.2134476 37.441143 38.7930222 40.3755341 42.4968987 45.0631714 48.4408951 55.396225 112.712608 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 56.1 41.3 34.2 6.6 28.0 55.1 36.9 49.6 -31.9 -0.7 -12.6 23.4 17.0 2 56.1 100.0 65.8 50.9 12.9 50.2 93.9 58.0 88.1 -50.2 -13.5 -31.0 46.4 33.5 3 41.3 65.8 100.0 29.3 -7.7 20.1 69.2 42.4 69.1 -21.6 -15.7 -36.6 76.3 17.1 4 34.2 50.9 29.3 100.0 -0.6 19.9 52.4 34.2 54.6 -14.4 -17.6 -38.8 20.6 79.1 5 6.6 12.9 -7.7 -0.6 100.0 81.9 -15.7 50.6 44.2 35.7 1.1 3.9 -11.5 -4.2 6 28.0 50.2 20.1 19.9 81.9 100.0 26.1 73.0 70.6 5.2 -3.7 -8.9 9.4 9.9 7 55.1 93.9 69.2 52.4 -15.7 26.1 100.0 47.6 74.0 -58.6 -12.4 -31.3 50.5 35.8 8 36.9 58.0 42.4 34.2 50.6 73.0 47.6 100.0 74.5 -3.5 -10.2 -20.4 28.0 21.9 9 49.6 88.1 69.1 54.6 44.2 70.6 74.0 74.5 100.0 -20.7 -15.7 -35.2 48.9 36.7 10 -31.9 -50.2 -21.6 -14.4 35.7 5.2 -58.6 -3.5 -20.7 100.0 2.0 8.3 -15.8 -8.6 11 -0.7 -13.5 -15.7 -17.6 1.1 -3.7 -12.4 -10.2 -15.7 2.0 100.0 52.5 -10.8 -14.9 12 -12.6 -31.0 -36.6 -38.8 3.9 -8.9 -31.3 -20.4 -35.2 8.3 52.5 100.0 -22.2 -22.0 13 23.4 46.4 76.3 20.6 -11.5 9.4 50.5 28.0 48.9 -15.8 -10.8 -22.2 100.0 35.7 14 17.0 33.5 17.1 79.1 -4.2 9.9 35.8 21.9 36.7 -8.6 -14.9 -22.0 35.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 125.444361 TOTAL CORRELATION OF ALL VARIABLES 60.9054292 ROUND 1: MAX CORR ( 60.898454) AFTER KILLING INPUT VARIABLE 6 CONTR 0.921744169 ROUND 2: MAX CORR ( 60.8551911) AFTER KILLING INPUT VARIABLE 7 CONTR 2.29508594 ROUND 3: MAX CORR ( 60.7487722) AFTER KILLING INPUT VARIABLE 11 CONTR 3.59735331 ROUND 4: MAX CORR ( 60.6426724) AFTER KILLING INPUT VARIABLE 13 CONTR 3.58881798 ROUND 5: MAX CORR ( 60.1460843) AFTER KILLING INPUT VARIABLE 8 CONTR 7.74482166 ROUND 6: MAX CORR ( 59.553666) AFTER KILLING INPUT VARIABLE 10 CONTR 8.42094539 ROUND 7: MAX CORR ( 58.9021877) AFTER KILLING INPUT VARIABLE 5 CONTR 8.78472638 ROUND 8: MAX CORR ( 58.794334) AFTER KILLING INPUT VARIABLE 9 CONTR 3.56286435 ROUND 9: MAX CORR ( 58.1785467) AFTER KILLING INPUT VARIABLE 3 CONTR 8.48707311 ROUND 10: MAX CORR ( 57.5087714) AFTER KILLING INPUT VARIABLE 12 CONTR 8.80252857 ROUND 11: MAX CORR ( 56.4896577) AFTER KILLING INPUT VARIABLE 14 CONTR 10.7785606 ROUND 12: MAX CORR ( 56.1026171) AFTER KILLING INPUT VARIABLE 4 CONTR 6.60134677 LAST REMAINING VARIABLE: 2 total correlation to target: 60.9054292 % total significance: 80.3424359 sigma correlations of single variables to target: variable 2: 56.1026171 % , in sigma: 74.006882 variable 3: 41.3314679 % , in sigma: 54.5217537 variable 4: 34.2409053 % , in sigma: 45.1683499 variable 5: 6.6426209 % , in sigma: 8.76250854 variable 6: 28.0212171 % , in sigma: 36.9637464 variable 7: 55.1284698 % , in sigma: 72.721851 variable 8: 36.8738484 % , in sigma: 48.6415553 variable 9: 49.6176587 % , in sigma: 65.4523515 variable 10: -31.9375271 % , in sigma: 42.1298849 variable 11: -0.658880245 % , in sigma: 0.869151478 variable 12: -12.594338 % , in sigma: 16.6136223 variable 13: 23.4346833 % , in sigma: 30.9134927 variable 14: 17.0223025 % , in sigma: 22.4547018 variables sorted by significance: 1 most relevant variable 2 corr 56.1026154 , in sigma: 74.0068798 2 most relevant variable 4 corr 6.60134697 , in sigma: 8.70806269 3 most relevant variable 14 corr 10.7785606 , in sigma: 14.2183682 4 most relevant variable 12 corr 8.80252838 , in sigma: 11.6117164 5 most relevant variable 3 corr 8.48707294 , in sigma: 11.1955884 6 most relevant variable 9 corr 3.5628643 , in sigma: 4.69989622 7 most relevant variable 5 corr 8.78472614 , in sigma: 11.5882329 8 most relevant variable 10 corr 8.42094517 , in sigma: 11.1083569 9 most relevant variable 8 corr 7.74482155 , in sigma: 10.2164591 10 most relevant variable 13 corr 3.58881807 , in sigma: 4.73413273 11 most relevant variable 11 corr 3.59735322 , in sigma: 4.74539173 12 most relevant variable 7 corr 2.29508591 , in sigma: 3.02752636 13 most relevant variable 6 corr 0.921744168 , in sigma: 1.21590427 global correlations between input variables: variable 2: 99.0403483 % variable 3: 93.7542037 % variable 4: 91.2624443 % variable 5: 94.576902 % variable 6: 92.7223874 % variable 7: 98.6268135 % variable 8: 85.0805954 % variable 9: 98.5365493 % variable 10: 73.5062233 % variable 11: 53.9931354 % variable 12: 66.0208526 % variable 13: 86.0578217 % variable 14: 87.9792426 % significance loss when removing single variables: variable 2: corr = 6.3896768 % , sigma = 8.42884132 variable 3: corr = 12.5562857 % , sigma = 16.5634262 variable 4: corr = 13.8406487 % , sigma = 18.2576733 variable 5: corr = 9.30125001 % , sigma = 12.2695972 variable 6: corr = 0.921744169 % , sigma = 1.21590428 variable 7: corr = 2.19100763 % , sigma = 2.89023314 variable 8: corr = 5.82786663 % , sigma = 7.6877383 variable 9: corr = 9.21109327 % , sigma = 12.1506683 variable 10: corr = 8.28496569 % , sigma = 10.9289818 variable 11: corr = 3.46986871 % , sigma = 4.57722256 variable 12: corr = 6.33738135 % , sigma = 8.3598566 variable 13: corr = 3.68859579 % , sigma = 4.86575293 variable 14: corr = 6.34782873 % , sigma = 8.3736381 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 8 --> 15.1883554 sigma out 15 active outputs RANK 2 NODE 12 --> 14.7935867 sigma out 15 active outputs RANK 3 NODE 10 --> 14.628521 sigma out 15 active outputs RANK 4 NODE 7 --> 14.2034788 sigma out 15 active outputs RANK 5 NODE 4 --> 11.9729919 sigma out 15 active outputs RANK 6 NODE 5 --> 11.9479351 sigma out 15 active outputs RANK 7 NODE 1 --> 11.5209103 sigma out 15 active outputs RANK 8 NODE 3 --> 10.8247128 sigma out 15 active outputs RANK 9 NODE 2 --> 10.5366507 sigma out 15 active outputs RANK 10 NODE 11 --> 10.1675396 sigma out 15 active outputs RANK 11 NODE 9 --> 9.19882393 sigma out 15 active outputs RANK 12 NODE 6 --> 8.69147682 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 22.0754204 sigma in 12act. ( 21.3381405 sig out 1act.) RANK 2 NODE 12 --> 20.6785011 sigma in 12act. ( 21.931488 sig out 1act.) RANK 3 NODE 10 --> 13.0820141 sigma in 12act. ( 12.9094934 sig out 1act.) RANK 4 NODE 9 --> 11.2268095 sigma in 12act. ( 12.3190899 sig out 1act.) RANK 5 NODE 6 --> 9.95586491 sigma in 12act. ( 10.2404041 sig out 1act.) RANK 6 NODE 15 --> 9.86583233 sigma in 12act. ( 9.57476807 sig out 1act.) RANK 7 NODE 13 --> 8.38883114 sigma in 12act. ( 8.36332798 sig out 1act.) RANK 8 NODE 4 --> 7.27596617 sigma in 12act. ( 8.21235943 sig out 1act.) RANK 9 NODE 11 --> 7.20712662 sigma in 12act. ( 7.54211664 sig out 1act.) RANK 10 NODE 14 --> 6.58065844 sigma in 12act. ( 7.45149279 sig out 1act.) RANK 11 NODE 2 --> 6.45374727 sigma in 12act. ( 6.55692768 sig out 1act.) RANK 12 NODE 1 --> 6.06398153 sigma in 12act. ( 6.56819153 sig out 1act.) RANK 13 NODE 8 --> 5.6197381 sigma in 12act. ( 5.93356609 sig out 1act.) RANK 14 NODE 5 --> 4.69007921 sigma in 12act. ( 4.69513226 sig out 1act.) RANK 15 NODE 7 --> 4.08906364 sigma in 12act. ( 4.05046225 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 21.931488 sigma out 1act.( 20.6785011 sig in 12act.) RANK 2 NODE 3 --> 21.3381405 sigma out 1act.( 22.0754204 sig in 12act.) RANK 3 NODE 10 --> 12.9094934 sigma out 1act.( 13.0820141 sig in 12act.) RANK 4 NODE 9 --> 12.3190899 sigma out 1act.( 11.2268095 sig in 12act.) RANK 5 NODE 6 --> 10.2404041 sigma out 1act.( 9.95586491 sig in 12act.) RANK 6 NODE 15 --> 9.57476807 sigma out 1act.( 9.86583233 sig in 12act.) RANK 7 NODE 13 --> 8.36332798 sigma out 1act.( 8.38883114 sig in 12act.) RANK 8 NODE 4 --> 8.21235943 sigma out 1act.( 7.27596617 sig in 12act.) RANK 9 NODE 11 --> 7.54211664 sigma out 1act.( 7.20712662 sig in 12act.) RANK 10 NODE 14 --> 7.45149279 sigma out 1act.( 6.58065844 sig in 12act.) RANK 11 NODE 1 --> 6.56819153 sigma out 1act.( 6.06398153 sig in 12act.) RANK 12 NODE 2 --> 6.55692768 sigma out 1act.( 6.45374727 sig in 12act.) RANK 13 NODE 8 --> 5.93356609 sigma out 1act.( 5.6197381 sig in 12act.) RANK 14 NODE 5 --> 4.69513226 sigma out 1act.( 4.69007921 sig in 12act.) RANK 15 NODE 7 --> 4.05046225 sigma out 1act.( 4.08906364 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.1375961 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 15.9726229 sigma out 15 active outputs RANK 2 NODE 12 --> 15.9577284 sigma out 15 active outputs RANK 3 NODE 8 --> 15.3726206 sigma out 15 active outputs RANK 4 NODE 7 --> 15.2817478 sigma out 15 active outputs RANK 5 NODE 2 --> 14.2765579 sigma out 15 active outputs RANK 6 NODE 11 --> 13.6825027 sigma out 15 active outputs RANK 7 NODE 5 --> 13.104435 sigma out 15 active outputs RANK 8 NODE 1 --> 13.0605268 sigma out 15 active outputs RANK 9 NODE 3 --> 12.58391 sigma out 15 active outputs RANK 10 NODE 4 --> 12.2434969 sigma out 15 active outputs RANK 11 NODE 6 --> 9.67403412 sigma out 15 active outputs RANK 12 NODE 9 --> 8.88060188 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 20.8476048 sigma in 12act. ( 20.6870918 sig out 1act.) RANK 2 NODE 12 --> 20.0781956 sigma in 12act. ( 19.9780083 sig out 1act.) RANK 3 NODE 10 --> 14.3485518 sigma in 12act. ( 12.7568989 sig out 1act.) RANK 4 NODE 9 --> 13.1024923 sigma in 12act. ( 11.5737734 sig out 1act.) RANK 5 NODE 4 --> 11.2186642 sigma in 12act. ( 8.20692921 sig out 1act.) RANK 6 NODE 14 --> 11.0341129 sigma in 12act. ( 7.76755953 sig out 1act.) RANK 7 NODE 15 --> 10.799037 sigma in 12act. ( 8.5367527 sig out 1act.) RANK 8 NODE 2 --> 10.2343073 sigma in 12act. ( 6.94104528 sig out 1act.) RANK 9 NODE 13 --> 9.60029697 sigma in 12act. ( 8.22723866 sig out 1act.) RANK 10 NODE 11 --> 9.39510536 sigma in 12act. ( 7.20735645 sig out 1act.) RANK 11 NODE 6 --> 9.24388027 sigma in 12act. ( 8.20761681 sig out 1act.) RANK 12 NODE 1 --> 9.19907093 sigma in 12act. ( 6.66228819 sig out 1act.) RANK 13 NODE 5 --> 8.5009594 sigma in 12act. ( 4.68414497 sig out 1act.) RANK 14 NODE 7 --> 7.25595093 sigma in 12act. ( 4.11350822 sig out 1act.) RANK 15 NODE 8 --> 5.82781458 sigma in 12act. ( 5.10859108 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 20.6870918 sigma out 1act.( 20.8476048 sig in 12act.) RANK 2 NODE 12 --> 19.9780083 sigma out 1act.( 20.0781956 sig in 12act.) RANK 3 NODE 10 --> 12.7568989 sigma out 1act.( 14.3485518 sig in 12act.) RANK 4 NODE 9 --> 11.5737734 sigma out 1act.( 13.1024923 sig in 12act.) RANK 5 NODE 15 --> 8.5367527 sigma out 1act.( 10.799037 sig in 12act.) RANK 6 NODE 13 --> 8.22723866 sigma out 1act.( 9.60029697 sig in 12act.) RANK 7 NODE 6 --> 8.20761681 sigma out 1act.( 9.24388027 sig in 12act.) RANK 8 NODE 4 --> 8.20692921 sigma out 1act.( 11.2186642 sig in 12act.) RANK 9 NODE 14 --> 7.76755953 sigma out 1act.( 11.0341129 sig in 12act.) RANK 10 NODE 11 --> 7.20735645 sigma out 1act.( 9.39510536 sig in 12act.) RANK 11 NODE 2 --> 6.94104528 sigma out 1act.( 10.2343073 sig in 12act.) RANK 12 NODE 1 --> 6.66228819 sigma out 1act.( 9.19907093 sig in 12act.) RANK 13 NODE 8 --> 5.10859108 sigma out 1act.( 5.82781458 sig in 12act.) RANK 14 NODE 5 --> 4.68414497 sigma out 1act.( 8.5009594 sig in 12act.) RANK 15 NODE 7 --> 4.11350822 sigma out 1act.( 7.25595093 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 40.8516197 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.388076484 *** contribution from regularisation: 0.00941917207 *** contribution from error: -0.397495657 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.429407239 *** contribution from regularisation: 0.00587366847 *** contribution from error: -0.435280919 *********************************************** -----------------> Test sample ENTER BFGS code START -17335.3412 0.324183613 -0.00509858783 EXIT FROM BFGS code FG_START 0. 0.324183613 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.446697772 *** contribution from regularisation: 0.00471470552 *** contribution from error: -0.451412469 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -18029.1689 0.324183613 -96.4950409 EXIT FROM BFGS code FG_LNSRCH 0. 0.282288522 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.489861548 *** contribution from regularisation: 0.00600242801 *** contribution from error: -0.495863974 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -19771.3022 0.282288522 -53.1933441 EXIT FROM BFGS code NEW_X -19771.3022 0.282288522 -53.1933441 ENTER BFGS code NEW_X -19771.3022 0.282288522 -53.1933441 EXIT FROM BFGS code FG_LNSRCH 0. 0.239648238 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.496999145 *** contribution from regularisation: 0.00718534132 *** contribution from error: -0.504184484 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20059.3829 0.239648238 4.00519514 EXIT FROM BFGS code NEW_X -20059.3829 0.239648238 4.00519514 ENTER BFGS code NEW_X -20059.3829 0.239648238 4.00519514 EXIT FROM BFGS code FG_LNSRCH 0. 0.240528658 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.498109609 *** contribution from regularisation: 0.00678705517 *** contribution from error: -0.504896641 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20104.2018 0.240528658 -13.6334429 EXIT FROM BFGS code NEW_X -20104.2018 0.240528658 -13.6334429 ENTER BFGS code NEW_X -20104.2018 0.240528658 -13.6334429 EXIT FROM BFGS code FG_LNSRCH 0. 0.231141254 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.498560667 *** contribution from regularisation: 0.00653395103 *** contribution from error: -0.505094647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20122.4068 0.231141254 -7.15332413 EXIT FROM BFGS code NEW_X -20122.4068 0.231141254 -7.15332413 ENTER BFGS code NEW_X -20122.4068 0.231141254 -7.15332413 EXIT FROM BFGS code FG_LNSRCH 0. 0.208618566 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.499290466 *** contribution from regularisation: 0.00599975232 *** contribution from error: -0.50529021 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20151.8628 0.208618566 -6.5882616 EXIT FROM BFGS code NEW_X -20151.8628 0.208618566 -6.5882616 ENTER BFGS code NEW_X -20151.8628 0.208618566 -6.5882616 EXIT FROM BFGS code FG_LNSRCH 0. 0.158209756 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.500365496 *** contribution from regularisation: 0.00522864377 *** contribution from error: -0.505594134 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20195.2509 0.158209756 3.65373969 EXIT FROM BFGS code NEW_X -20195.2509 0.158209756 3.65373969 ENTER BFGS code NEW_X -20195.2509 0.158209756 3.65373969 EXIT FROM BFGS code FG_LNSRCH 0. 0.0726174638 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 25.0169163 sigma out 15 active outputs RANK 2 NODE 1 --> 17.1754322 sigma out 15 active outputs RANK 3 NODE 8 --> 15.0411186 sigma out 15 active outputs RANK 4 NODE 7 --> 10.8524275 sigma out 15 active outputs RANK 5 NODE 3 --> 10.4347925 sigma out 15 active outputs RANK 6 NODE 9 --> 10.3582354 sigma out 15 active outputs RANK 7 NODE 4 --> 9.65653801 sigma out 15 active outputs RANK 8 NODE 5 --> 7.71109915 sigma out 15 active outputs RANK 9 NODE 12 --> 6.9143219 sigma out 15 active outputs RANK 10 NODE 10 --> 6.66865587 sigma out 15 active outputs RANK 11 NODE 11 --> 5.15527678 sigma out 15 active outputs RANK 12 NODE 6 --> 4.43778658 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 24.4421921 sigma in 12act. ( 25.3535767 sig out 1act.) RANK 2 NODE 14 --> 19.5582924 sigma in 12act. ( 18.1934948 sig out 1act.) RANK 3 NODE 13 --> 12.7227736 sigma in 12act. ( 12.2492132 sig out 1act.) RANK 4 NODE 10 --> 12.1274071 sigma in 12act. ( 9.15843868 sig out 1act.) RANK 5 NODE 4 --> 9.71857452 sigma in 12act. ( 8.51894093 sig out 1act.) RANK 6 NODE 1 --> 9.23018456 sigma in 12act. ( 7.63753843 sig out 1act.) RANK 7 NODE 7 --> 8.1561327 sigma in 12act. ( 6.65253258 sig out 1act.) RANK 8 NODE 5 --> 7.94568443 sigma in 12act. ( 6.6108017 sig out 1act.) RANK 9 NODE 12 --> 6.9017067 sigma in 12act. ( 5.80868626 sig out 1act.) RANK 10 NODE 2 --> 6.61186075 sigma in 12act. ( 4.94590902 sig out 1act.) RANK 11 NODE 11 --> 5.43172741 sigma in 12act. ( 3.48665833 sig out 1act.) RANK 12 NODE 9 --> 5.05180836 sigma in 12act. ( 3.82254148 sig out 1act.) RANK 13 NODE 15 --> 3.87083459 sigma in 12act. ( 2.48388386 sig out 1act.) RANK 14 NODE 8 --> 3.22291398 sigma in 12act. ( 2.31434774 sig out 1act.) RANK 15 NODE 6 --> 1.53306103 sigma in 12act. ( 0.347815007 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 25.3535767 sigma out 1act.( 24.4421921 sig in 12act.) RANK 2 NODE 14 --> 18.1934948 sigma out 1act.( 19.5582924 sig in 12act.) RANK 3 NODE 13 --> 12.2492132 sigma out 1act.( 12.7227736 sig in 12act.) RANK 4 NODE 10 --> 9.15843868 sigma out 1act.( 12.1274071 sig in 12act.) RANK 5 NODE 4 --> 8.51894093 sigma out 1act.( 9.71857452 sig in 12act.) RANK 6 NODE 1 --> 7.63753843 sigma out 1act.( 9.23018456 sig in 12act.) RANK 7 NODE 7 --> 6.65253258 sigma out 1act.( 8.1561327 sig in 12act.) RANK 8 NODE 5 --> 6.6108017 sigma out 1act.( 7.94568443 sig in 12act.) RANK 9 NODE 12 --> 5.80868626 sigma out 1act.( 6.9017067 sig in 12act.) RANK 10 NODE 2 --> 4.94590902 sigma out 1act.( 6.61186075 sig in 12act.) RANK 11 NODE 9 --> 3.82254148 sigma out 1act.( 5.05180836 sig in 12act.) RANK 12 NODE 11 --> 3.48665833 sigma out 1act.( 5.43172741 sig in 12act.) RANK 13 NODE 15 --> 2.48388386 sigma out 1act.( 3.87083459 sig in 12act.) RANK 14 NODE 8 --> 2.31434774 sigma out 1act.( 3.22291398 sig in 12act.) RANK 15 NODE 6 --> 0.347815007 sigma out 1act.( 1.53306103 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 39.0283089 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.501181185 *** contribution from regularisation: 0.00552974641 *** contribution from error: -0.506710947 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -20228.1728 0.0726174638 -21.0258121 EXIT FROM BFGS code NEW_X -20228.1728 0.0726174638 -21.0258121 ENTER BFGS code NEW_X -20228.1728 0.0726174638 -21.0258121 EXIT FROM BFGS code FG_LNSRCH 0. -0.00547492364 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.50105691 *** contribution from regularisation: 0.00706990901 *** contribution from error: -0.508126795 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20223.1578 -0.00547492364 31.8704281 EXIT FROM BFGS code FG_LNSRCH 0. 0.0373350829 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.502905965 *** contribution from regularisation: 0.00563098956 *** contribution from error: -0.508536935 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20297.7865 0.0373350829 6.40916538 EXIT FROM BFGS code NEW_X -20297.7865 0.0373350829 6.40916538 ENTER BFGS code NEW_X -20297.7865 0.0373350829 6.40916538 EXIT FROM BFGS code FG_LNSRCH 0. 0.0367082804 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.503149271 *** contribution from regularisation: 0.00622860854 *** contribution from error: -0.509377897 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20307.6078 0.0367082804 -0.136669621 EXIT FROM BFGS code NEW_X -20307.6078 0.0367082804 -0.136669621 ENTER BFGS code NEW_X -20307.6078 0.0367082804 -0.136669621 EXIT FROM BFGS code FG_LNSRCH 0. 0.0348274745 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.503619015 *** contribution from regularisation: 0.00602459302 *** contribution from error: -0.509643614 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20326.5659 0.0348274745 1.05629027 EXIT FROM BFGS code NEW_X -20326.5659 0.0348274745 1.05629027 ENTER BFGS code NEW_X -20326.5659 0.0348274745 1.05629027 EXIT FROM BFGS code FG_LNSRCH 0. 0.0281711109 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.50490731 *** contribution from regularisation: 0.00563738123 *** contribution from error: -0.510544717 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20378.5637 0.0281711109 -8.00315189 EXIT FROM BFGS code NEW_X -20378.5637 0.0281711109 -8.00315189 ENTER BFGS code NEW_X -20378.5637 0.0281711109 -8.00315189 EXIT FROM BFGS code FG_LNSRCH 0. 0.0138960835 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.50558126 *** contribution from regularisation: 0.00643748138 *** contribution from error: -0.51201874 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20405.7644 0.0138960835 -11.4890928 EXIT FROM BFGS code NEW_X -20405.7644 0.0138960835 -11.4890928 ENTER BFGS code NEW_X -20405.7644 0.0138960835 -11.4890928 EXIT FROM BFGS code FG_LNSRCH 0. -0.00852283183 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.506715775 *** contribution from regularisation: 0.00680188509 *** contribution from error: -0.513517678 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20451.5561 -0.00852283183 16.6436443 EXIT FROM BFGS code NEW_X -20451.5561 -0.00852283183 16.6436443 ENTER BFGS code NEW_X -20451.5561 -0.00852283183 16.6436443 EXIT FROM BFGS code FG_LNSRCH 0. 0.000707306433 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.507483125 *** contribution from regularisation: 0.00610084552 *** contribution from error: -0.513583958 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20482.5262 0.000707306433 0.439185947 EXIT FROM BFGS code NEW_X -20482.5262 0.000707306433 0.439185947 ENTER BFGS code NEW_X -20482.5262 0.000707306433 0.439185947 EXIT FROM BFGS code FG_LNSRCH 0. 0.000251305988 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.507440329 *** contribution from regularisation: 0.00635958556 *** contribution from error: -0.513799906 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20480.8 0.000251305988 1.39563501 EXIT FROM BFGS code FG_LNSRCH 0. 0.000623587461 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 39.9694862 sigma out 15 active outputs RANK 2 NODE 8 --> 26.3711796 sigma out 15 active outputs RANK 3 NODE 1 --> 16.9602089 sigma out 15 active outputs RANK 4 NODE 9 --> 11.8200388 sigma out 15 active outputs RANK 5 NODE 4 --> 10.0039225 sigma out 15 active outputs RANK 6 NODE 5 --> 9.69559479 sigma out 15 active outputs RANK 7 NODE 7 --> 8.79894066 sigma out 15 active outputs RANK 8 NODE 10 --> 8.06742573 sigma out 15 active outputs RANK 9 NODE 11 --> 7.16192818 sigma out 15 active outputs RANK 10 NODE 12 --> 5.72337341 sigma out 15 active outputs RANK 11 NODE 6 --> 5.0415864 sigma out 15 active outputs RANK 12 NODE 3 --> 4.9770174 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 46.302742 sigma in 12act. ( 58.812149 sig out 1act.) RANK 2 NODE 14 --> 21.7325974 sigma in 12act. ( 18.8107891 sig out 1act.) RANK 3 NODE 13 --> 13.9995422 sigma in 12act. ( 13.1679707 sig out 1act.) RANK 4 NODE 10 --> 10.6088152 sigma in 12act. ( 9.89561176 sig out 1act.) RANK 5 NODE 5 --> 7.3292861 sigma in 12act. ( 6.86454773 sig out 1act.) RANK 6 NODE 4 --> 6.96709824 sigma in 12act. ( 6.03175545 sig out 1act.) RANK 7 NODE 1 --> 6.46015596 sigma in 12act. ( 5.38795519 sig out 1act.) RANK 8 NODE 12 --> 6.11050701 sigma in 12act. ( 5.79322004 sig out 1act.) RANK 9 NODE 7 --> 4.62773991 sigma in 12act. ( 2.6665287 sig out 1act.) RANK 10 NODE 9 --> 4.14537191 sigma in 12act. ( 3.41460133 sig out 1act.) RANK 11 NODE 2 --> 4.07777452 sigma in 12act. ( 3.21464181 sig out 1act.) RANK 12 NODE 11 --> 3.94222856 sigma in 12act. ( 3.04938507 sig out 1act.) RANK 13 NODE 8 --> 3.41195488 sigma in 12act. ( 2.72045755 sig out 1act.) RANK 14 NODE 15 --> 1.54330873 sigma in 12act. ( 0.782766521 sig out 1act.) RANK 15 NODE 6 --> 0.529012322 sigma in 12act. ( 0.124575049 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 58.812149 sigma out 1act.( 46.302742 sig in 12act.) RANK 2 NODE 14 --> 18.8107891 sigma out 1act.( 21.7325974 sig in 12act.) RANK 3 NODE 13 --> 13.1679707 sigma out 1act.( 13.9995422 sig in 12act.) RANK 4 NODE 10 --> 9.89561176 sigma out 1act.( 10.6088152 sig in 12act.) RANK 5 NODE 5 --> 6.86454773 sigma out 1act.( 7.3292861 sig in 12act.) RANK 6 NODE 4 --> 6.03175545 sigma out 1act.( 6.96709824 sig in 12act.) RANK 7 NODE 12 --> 5.79322004 sigma out 1act.( 6.11050701 sig in 12act.) RANK 8 NODE 1 --> 5.38795519 sigma out 1act.( 6.46015596 sig in 12act.) RANK 9 NODE 9 --> 3.41460133 sigma out 1act.( 4.14537191 sig in 12act.) RANK 10 NODE 2 --> 3.21464181 sigma out 1act.( 4.07777452 sig in 12act.) RANK 11 NODE 11 --> 3.04938507 sigma out 1act.( 3.94222856 sig in 12act.) RANK 12 NODE 8 --> 2.72045755 sigma out 1act.( 3.41195488 sig in 12act.) RANK 13 NODE 7 --> 2.6665287 sigma out 1act.( 4.62773991 sig in 12act.) RANK 14 NODE 15 --> 0.782766521 sigma out 1act.( 1.54330873 sig in 12act.) RANK 15 NODE 6 --> 0.124575049 sigma out 1act.( 0.529012322 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 65.3954163 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.507132888 *** contribution from regularisation: 0.00649173651 *** contribution from error: -0.513624609 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -20468.3914 0.000623587461 0.55318445 EXIT FROM BFGS code FG_LNSRCH 0. 0.000705510727 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.507188976 *** contribution from regularisation: 0.00639583729 *** contribution from error: -0.513584793 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20470.6539 0.000705510727 0.355248004 EXIT FROM BFGS code FG_LNSRCH 0. 0.000707305328 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.507156909 *** contribution from regularisation: 0.00642708177 *** contribution from error: -0.513584018 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20469.359 0.000707305328 0.334071547 EXIT FROM BFGS code FG_LNSRCH 0. 0.000707306433 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.507162094 *** contribution from regularisation: 0.00642187661 *** contribution from error: -0.513583958 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20469.5691 0.000707306433 0.319083989 EXIT FROM BFGS code FG_LNSRCH 0. 0.000707306433 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.507215261 *** contribution from regularisation: 0.0063687237 *** contribution from error: -0.513583958 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20471.7144 0.000707306433 0.304988325 EXIT FROM BFGS code FG_LNSRCH 0. 0.000707306433 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.507208109 *** contribution from regularisation: 0.00637586182 *** contribution from error: -0.513583958 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20471.4263 0.000707306433 0.292157143 EXIT FROM BFGS code NEW_X -20471.4263 0.000707306433 0.292157143 ENTER BFGS code NEW_X -20471.4263 0.000707306433 0.292157143 EXIT FROM BFGS code CONVERGENC -20471.4263 0.000707306433 0.292157143 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 55.1956177 sigma out 15 active outputs RANK 2 NODE 8 --> 36.7881813 sigma out 15 active outputs RANK 3 NODE 1 --> 24.1461239 sigma out 15 active outputs RANK 4 NODE 9 --> 16.5545349 sigma out 15 active outputs RANK 5 NODE 4 --> 13.5766201 sigma out 15 active outputs RANK 6 NODE 5 --> 13.016839 sigma out 15 active outputs RANK 7 NODE 7 --> 12.6100712 sigma out 15 active outputs RANK 8 NODE 10 --> 11.3401031 sigma out 15 active outputs RANK 9 NODE 11 --> 10.3952866 sigma out 15 active outputs RANK 10 NODE 12 --> 8.17077923 sigma out 15 active outputs RANK 11 NODE 6 --> 7.6364007 sigma out 15 active outputs RANK 12 NODE 3 --> 6.96961355 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 64.0786438 sigma in 12act. ( 89.1010361 sig out 1act.) RANK 2 NODE 14 --> 30.9460449 sigma in 12act. ( 28.3149548 sig out 1act.) RANK 3 NODE 13 --> 20.0467777 sigma in 12act. ( 18.9280415 sig out 1act.) RANK 4 NODE 10 --> 15.1245613 sigma in 12act. ( 14.0364952 sig out 1act.) RANK 5 NODE 5 --> 10.1203079 sigma in 12act. ( 10.0676985 sig out 1act.) RANK 6 NODE 4 --> 9.52283669 sigma in 12act. ( 8.61364174 sig out 1act.) RANK 7 NODE 1 --> 8.75687218 sigma in 12act. ( 7.87609816 sig out 1act.) RANK 8 NODE 12 --> 8.35293865 sigma in 12act. ( 8.37285423 sig out 1act.) RANK 9 NODE 7 --> 6.00929451 sigma in 12act. ( 3.85200763 sig out 1act.) RANK 10 NODE 9 --> 5.59969378 sigma in 12act. ( 4.85913897 sig out 1act.) RANK 11 NODE 2 --> 5.36712599 sigma in 12act. ( 4.70991945 sig out 1act.) RANK 12 NODE 11 --> 5.19985533 sigma in 12act. ( 4.22870493 sig out 1act.) RANK 13 NODE 8 --> 4.42421627 sigma in 12act. ( 3.83817196 sig out 1act.) RANK 14 NODE 15 --> 1.73736215 sigma in 12act. ( 1.03499794 sig out 1act.) RANK 15 NODE 6 --> 0.531544626 sigma in 12act. ( 0.142929986 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 89.1010361 sigma out 1act.( 64.0786438 sig in 12act.) RANK 2 NODE 14 --> 28.3149548 sigma out 1act.( 30.9460449 sig in 12act.) RANK 3 NODE 13 --> 18.9280415 sigma out 1act.( 20.0467777 sig in 12act.) RANK 4 NODE 10 --> 14.0364952 sigma out 1act.( 15.1245613 sig in 12act.) RANK 5 NODE 5 --> 10.0676985 sigma out 1act.( 10.1203079 sig in 12act.) RANK 6 NODE 4 --> 8.61364174 sigma out 1act.( 9.52283669 sig in 12act.) RANK 7 NODE 12 --> 8.37285423 sigma out 1act.( 8.35293865 sig in 12act.) RANK 8 NODE 1 --> 7.87609816 sigma out 1act.( 8.75687218 sig in 12act.) RANK 9 NODE 9 --> 4.85913897 sigma out 1act.( 5.59969378 sig in 12act.) RANK 10 NODE 2 --> 4.70991945 sigma out 1act.( 5.36712599 sig in 12act.) RANK 11 NODE 11 --> 4.22870493 sigma out 1act.( 5.19985533 sig in 12act.) RANK 12 NODE 7 --> 3.85200763 sigma out 1act.( 6.00929451 sig in 12act.) RANK 13 NODE 8 --> 3.83817196 sigma out 1act.( 4.42421627 sig in 12act.) RANK 14 NODE 15 --> 1.03499794 sigma out 1act.( 1.73736215 sig in 12act.) RANK 15 NODE 6 --> 0.142929986 sigma out 1act.( 0.531544626 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 98.4786911 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.50726974 *** contribution from regularisation: 0.00631423621 *** contribution from error: -0.513583958 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done