NNInput NNInputs_150.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 Error in : error reading all requested bytes from file TMVAAna_out.root, got 228 of 300 Warning in : file TMVAAna_out.root has no keys Error in : Cannot find tree with name NNInput in file TMVAAna_out.root NNAna::CopyTree: entries= 187864 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 = 48064 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 48064 Chosen entries: 48064 Signal fraction: 1 Background fraction: 0.343805 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 48064 Entries to split: 48064 Test with : 24032 Train with : 24032 ********************************************* * 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= 48064 for Signal Prepared event 0 for Signal with 48064 events ====Entry 0 Variable Ht : 117.82 Variable LepAPt : 47.4738 Variable LepBPt : 12.5622 Variable MetSigLeptonsJets : 3.17918 Variable MetSpec : 29.8229 Variable SumEtLeptonsJets : 87.9972 Variable VSumJetLeptonsPt : 86.2262 Variable addEt : 89.8589 Variable dPhiLepSumMet : 2.58393 Variable dPhiLeptons : 0.475938 Variable dRLeptons : 0.613309 Variable lep1_E : 64.1505 Variable lep2_E : 22.7882 ===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 = 2150 Ht = 117.82 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 47.4738 LepAPt = 47.4738 LepBEt = 12.5622 LepBPt = 12.5622 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 29.8229 MetDelPhi = 2.20584 MetSig = 2.18904 MetSigLeptonsJets = 3.17918 MetSpec = 29.8229 Mjj = 0 MostCentralJetEta = 0.309078 MtllMet = 98.8413 Njets = 1 SB = 0 SumEt = 185.606 SumEtJets = 0 SumEtLeptonsJets = 87.9972 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 86.2262 addEt = 89.8589 dPhiLepSumMet = 2.58393 dPhiLeptons = 0.475938 dRLeptons = 0.613309 diltype = 1 dimass = 14.9303 event = 29 jet1_Et = 27.9612 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 64.1504 lep2_E = 22.7882 rand = 0.999742 run = 167138 weight = 3.54438e-06 ===Show End Prepared event 10000 for Signal with 48064 events Prepared event 20000 for Signal with 48064 events Prepared event 30000 for Signal with 48064 events Prepared event 40000 for Signal with 48064 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= 139800 for Background Prepared event 0 for Background with 139800 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 = 0.272723 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 = 0.00331651 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4365 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 187864 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 4365 negative weights. Signal fraction: 63.0494766 % ------------------------------ 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 60.0019798 63.1206551 65.2587585 67.039856 68.262558 69.1558914 70.2088394 71.0885925 71.8947525 72.709198 73.4895935 74.166008 74.8235168 75.4351654 76.0437851 76.7065735 77.2454681 77.9057617 78.4562912 79.0579224 79.6035767 80.271347 81.0828857 81.8020935 82.4720001 83.1954956 83.8921432 84.8543243 85.8226318 86.6835938 87.935997 89.1093903 90.4591217 92.0193253 93.2250443 94.7148743 96.2582397 97.7488403 98.9732971 100.206375 101.541016 102.903397 104.119644 105.766151 107.04425 108.505653 109.981194 111.092056 112.492706 113.933716 115.411987 116.86834 118.144852 119.598946 120.899307 122.177216 123.539459 124.917664 126.306259 127.727386 128.993805 130.342392 131.711273 133.052185 134.405151 135.714188 136.909119 138.227753 139.574661 140.900299 142.341095 143.747253 145.281296 146.757446 148.159409 149.80835 151.438004 153.332199 155.393188 157.637634 160.083557 162.608032 164.874176 167.376114 170.091797 172.919159 175.975616 179.404175 182.817657 186.669556 190.878235 195.544754 200.453491 206.037064 212.92189 221.802002 233.127411 247.755112 269.981079 315.762817 836.977722 ------------------------------ Transdef: Tab for variable 3 20.0009289 20.2964287 20.6159859 20.9067631 21.1745625 21.4617691 21.6961212 21.943367 22.149641 22.3430595 22.5699081 22.762989 22.9764614 23.155138 23.2935028 23.5144806 23.6779976 23.8545361 24.0662155 24.2673779 24.4866295 24.6998749 24.89991 25.1159096 25.3075695 25.5035324 25.6768608 25.8708248 26.0752144 26.277401 26.4919872 26.6916447 26.9025612 27.1205063 27.3330441 27.5547867 27.7571449 27.9537468 28.1739025 28.4188461 28.6762524 28.8711014 29.0848503 29.2845764 29.5170841 29.7515202 29.9805412 30.2258263 30.4937744 30.786871 31.0889511 31.3784428 31.6557541 31.9495087 32.2146606 32.4730911 32.7527618 33.0228233 33.2925644 33.5834465 33.8284225 34.1335602 34.4064217 34.668808 34.9921188 35.2770844 35.5505295 35.8999939 36.2052345 36.5115204 36.8440704 37.1577301 37.5107956 37.850708 38.1984024 38.5520058 38.9537125 39.3438263 39.7389259 40.1160736 40.575592 40.9233093 41.388031 41.8937759 42.3957176 42.9796677 43.5288239 44.1553917 44.8777237 45.6451149 46.4614334 47.4324188 48.4513779 49.6418686 50.8193283 52.5354233 54.8247452 57.4109497 61.5797997 68.9998016 228.385986 ------------------------------ Transdef: Tab for variable 4 10.000247 10.1199102 10.2303905 10.3525715 10.4843712 10.5899897 10.73176 10.8560524 10.9780045 11.1033134 11.2446404 11.3788052 11.4930773 11.6463165 11.7592926 11.9401331 12.0696945 12.2100143 12.3415375 12.5271997 12.6846962 12.8261681 12.9728184 13.1414328 13.3259554 13.4980755 13.6534729 13.8050537 13.9775772 14.159235 14.3210115 14.4932823 14.72085 14.9201756 15.1118927 15.3430595 15.5134544 15.701314 15.8652744 16.0615005 16.3033905 16.5466843 16.7660904 16.9835663 17.2208252 17.4349174 17.7025013 17.9079113 18.0889835 18.3301277 18.5466461 18.8056221 19.0509453 19.2961769 19.5663872 19.8196068 20.0888977 20.2775345 20.4694614 20.7169819 20.9723186 21.2347069 21.5024185 21.7424927 21.9704666 22.2209702 22.4845657 22.7421036 23.0274811 23.3096962 23.5976295 23.8428192 24.1283531 24.4182472 24.7443123 25.0563087 25.405529 25.7630005 26.1157341 26.4316139 26.7857933 27.1617088 27.523941 27.8740082 28.2586708 28.6449718 29.0448456 29.4710236 29.918623 30.3860054 30.8920364 31.4896278 32.1184998 32.7810364 33.5439835 34.3852806 35.4654846 36.9425125 39.3784256 43.7177773 72.9396591 ------------------------------ Transdef: Tab for variable 5 1.04656506 2.65131474 3.05480719 3.33886003 3.63025999 3.8619132 4.04938793 4.17393351 4.303442 4.42266178 4.52820158 4.61635971 4.70016003 4.79215622 4.87520218 4.9628067 5.03693676 5.10416508 5.16453743 5.22137737 5.28034306 5.32866096 5.37965679 5.43250895 5.47752237 5.52012348 5.55757761 5.61146355 5.65761614 5.7054925 5.75537872 5.79922009 5.84861135 5.89206123 5.93774652 5.98538303 6.02605391 6.07647038 6.11981106 6.16808891 6.20892954 6.25644588 6.28490734 6.32654858 6.36516285 6.40684175 6.45050335 6.49349594 6.53355694 6.58199883 6.62294483 6.66704178 6.71509361 6.75412226 6.79291344 6.83665323 6.87328243 6.91563225 6.96700096 7.01434422 7.05601788 7.10556316 7.16235256 7.20457935 7.24570465 7.29715919 7.3554554 7.40640974 7.45365667 7.51262426 7.56427908 7.61769247 7.66837215 7.72603226 7.77978897 7.83517694 7.89469147 7.95172119 8.01374435 8.07556343 8.13618851 8.19965172 8.26630497 8.33899117 8.40761852 8.47909832 8.55273056 8.62749672 8.70319939 8.78547382 8.891922 8.99474525 9.12434769 9.25900555 9.4177103 9.6001215 9.8170414 10.1151133 10.5716553 11.3702517 17.1430473 ------------------------------ Transdef: Tab for variable 6 15.0174675 20.7245483 25.2019386 26.3764763 27.2839775 28.2767563 29.0664291 29.8527451 30.6331635 31.1572723 31.6949081 32.2131958 32.7403755 33.1720009 33.6954498 34.2084732 34.630188 34.9036331 35.2949219 35.7191544 36.1215134 36.4578514 36.8458099 37.1709442 37.5516891 37.8762589 38.269455 38.6317368 39.0701065 39.3895836 39.7318726 40.1095581 40.4378014 40.8433113 41.2037125 41.652359 42.0810242 42.4772339 42.9240723 43.2104568 43.6562691 43.9876862 44.4676628 44.9141006 45.5130386 46.0295181 46.6447601 47.2535896 47.7701721 48.3954582 49.0072861 49.6718826 50.2813034 50.8805733 51.4913559 52.0942917 52.7568741 53.3795547 54.0816422 54.6284943 55.3283691 56.0412788 56.7438126 57.391674 58.0545273 58.675808 59.3133621 60.0020599 60.6356239 61.3689499 62.1061211 62.7763824 63.4371414 64.1697845 64.9211426 65.6776886 66.3555145 67.1452179 67.8584366 68.5731812 69.3166351 70.0146484 70.8155518 71.6098709 72.4748688 73.3747406 74.2985535 75.3639832 76.5133133 77.3635559 78.6520996 80.2863312 82.0139771 84.0297928 86.4302979 89.2154846 92.5473938 96.9953156 104.046951 115.376503 292.694519 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.8358154 33.6909027 34.2795105 35.0340614 35.4948044 35.9161835 36.2820587 36.6670456 37.0541 37.3935471 37.7275772 38.046051 38.3666077 38.7080612 38.9797325 39.2382202 39.5000381 39.7444077 40.1069031 40.4505577 40.7266693 41.0474625 41.4382629 41.8209648 42.2507133 42.7017593 43.1267471 43.6328201 44.3454781 44.9144173 45.4387512 46.1686859 46.9195023 47.7238312 48.4947968 49.2601776 50.1976471 50.994442 51.9227448 52.8047028 53.5961761 54.5739288 55.3954315 56.1566391 56.9453468 57.6686211 58.4875259 59.2290649 60.0283508 60.8641052 61.3736877 62.134819 62.8423843 63.559803 64.2364349 65.0206909 65.8082809 66.5501709 67.4308701 68.197876 69.0545349 69.9559631 70.7573242 71.5582047 72.3876953 73.3252487 74.2928848 75.3942719 76.61409 77.8450623 79.1319733 80.5964737 82.0836945 83.5669937 85.0983887 86.7125549 88.5017395 90.0780487 91.8899536 93.6704254 95.4446182 97.3881454 99.6084747 101.87912 104.122597 106.639946 109.266281 112.29744 115.657959 119.466324 123.125137 127.485748 132.750061 138.544891 145.788849 155.095108 168.004364 186.314423 219.311356 482.486786 ------------------------------ Transdef: Tab for variable 8 1.61999488 23.7087135 28.5174561 30.7567101 31.8541183 32.5782928 33.1704826 33.5882187 34.0591888 34.5252113 34.9710274 35.3211899 35.5940857 35.9247589 36.2427063 36.4973793 36.7830124 37.1058731 37.3455658 37.6680717 37.8717422 38.1375923 38.4009476 38.696785 38.9473877 39.2298775 39.5340729 39.8072739 40.0901642 40.3747101 40.6679535 40.958313 41.293396 41.6441574 42.0335083 42.3776627 42.7340164 43.2047958 43.6830254 44.1595039 44.5881653 45.0657806 45.6179352 46.2661667 46.7761726 47.3209991 47.9088936 48.286499 48.8067551 49.3919601 49.9956512 50.5960541 51.2073479 51.806015 52.468399 53.0655365 53.6727676 54.2320938 54.8674316 55.4054146 56.0088005 56.5923843 57.2266922 57.839859 58.4701385 59.0938148 59.6639709 60.2762527 60.9338684 61.5459099 62.1565742 62.7729645 63.4030151 64.0466385 64.666687 65.3002396 65.9398346 66.5711975 67.2961426 68.0051422 68.6845474 69.4561615 70.1619568 70.916687 71.6719666 72.5440903 73.5503082 74.6382599 75.6879272 76.9444427 78.4339752 80.1175613 82.0294876 84.1284027 86.938179 90.1631012 94.1382751 99.5506744 107.770844 124.518036 349.597076 ------------------------------ Transdef: Tab for variable 9 49.6710663 62.7314682 64.6010895 66.1884766 67.4897079 68.5614777 69.4488525 70.284729 71.1136169 71.8171005 72.5457458 73.3134308 73.9269791 74.5028992 75.0531235 75.6668167 76.1460876 76.7560425 77.2164764 77.8128357 78.3411407 78.8108902 79.353775 79.7738037 80.3613434 81.0511932 81.6078568 82.1897736 82.7184525 83.4031067 84.0204315 84.8365326 85.5795288 86.3325348 86.9286499 87.8422699 88.7623215 89.660553 90.701004 91.7599945 92.8404388 93.7281494 94.9511032 96.1117249 97.3625336 98.4475021 99.5094604 100.687454 101.875908 103.01918 104.240173 105.437653 106.56311 107.740631 109.033424 110.164291 111.082184 112.249496 113.384293 114.449493 115.48587 116.560532 117.515747 118.654099 119.766617 120.78978 121.829735 122.817078 123.951752 124.966965 125.966278 126.98008 127.92424 128.946442 130.05661 131.105133 132.104156 133.070038 134.122009 135.166275 136.168274 137.153625 138.225845 139.273026 140.354828 141.543564 142.711487 143.897354 145.196869 146.415817 147.703201 149.12616 150.750732 152.636292 154.948883 157.576263 161.505096 166.989944 176.669342 198.847626 425.772034 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.938610196 1.32833123 1.5556078 1.72229791 1.84679914 1.95293617 2.0375545 2.10760689 2.17732811 2.23270464 2.28462648 2.3303926 2.3772099 2.41439915 2.45241594 2.48539734 2.51741648 2.54560566 2.57246399 2.59878492 2.62031436 2.64469194 2.66785693 2.68804932 2.70984221 2.72843409 2.74655151 2.76158714 2.77841759 2.79421377 2.80781913 2.82066298 2.83259249 2.8454299 2.85634875 2.86717749 2.87812018 2.88816524 2.89672947 2.90535593 2.91349983 2.91992688 2.92853594 2.93688464 2.94497538 2.95186996 2.9579916 2.96382189 2.96962714 2.9760623 2.98046446 2.98548508 2.9901166 2.99381733 2.99816608 3.00357914 3.00819635 3.01294684 3.01736784 3.02205992 3.02668285 3.03006673 3.03427577 3.03775215 3.04145432 3.04514217 3.049227 3.05280304 3.05635357 3.05990696 3.06331253 3.06714272 3.07043338 3.07327914 3.07581162 3.07871628 3.08203125 3.08478379 3.087677 3.09043479 3.09298539 3.09547234 3.09832335 3.10104656 3.10393667 3.10631633 3.10867572 3.11143684 3.11394691 3.1165061 3.11931586 3.12203217 3.1247201 3.12708044 3.1296525 3.13212776 3.1341424 3.13655615 3.13907957 3.14158916 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.00618005358 0.0105464607 0.017867215 0.0244286582 0.0312113762 0.0396509171 0.0483113527 0.0567616224 0.0637308955 0.0717477798 0.0791779757 0.0864635855 0.0939392447 0.100787401 0.108555436 0.115680784 0.123624086 0.131156087 0.139491141 0.146708235 0.154096246 0.159534633 0.166334271 0.173610091 0.180085182 0.186762333 0.1931144 0.199413538 0.205263138 0.211038351 0.216095328 0.221439674 0.226983547 0.232545763 0.236665368 0.24235931 0.24798429 0.253563523 0.258749843 0.263833821 0.269087374 0.275089085 0.280418396 0.285820007 0.291530132 0.297077656 0.301892042 0.307674408 0.313031912 0.318221092 0.323207498 0.3284266 0.334182739 0.340004444 0.345570356 0.35088706 0.356547713 0.360941052 0.367197335 0.372911811 0.3780303 0.383980751 0.390719056 0.396714449 0.402720034 0.408845901 0.414555073 0.421313047 0.427056432 0.433709145 0.43909198 0.445384085 0.450868487 0.457249105 0.463925362 0.470765114 0.478166938 0.485193491 0.493281871 0.501703441 0.510058939 0.517155647 0.527194262 0.53666532 0.544447184 0.553590775 0.565760612 0.576838911 0.586827576 0.600254416 0.616381288 0.633806586 0.648589611 0.665863276 0.687680602 0.712736487 0.740823507 0.78560853 0.847598791 1.12033129 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.215750933 0.228495002 0.239128053 0.249056205 0.258450568 0.266889811 0.275146902 0.28238824 0.290436745 0.2981112 0.305539429 0.311632752 0.318274736 0.325085104 0.3313573 0.337819755 0.34375149 0.349171281 0.354286671 0.358862847 0.365270257 0.370718032 0.376202285 0.381517321 0.387367904 0.392589509 0.397632539 0.402005464 0.406388611 0.410305262 0.413944155 0.417580128 0.421284616 0.425005198 0.428861678 0.43251282 0.436409235 0.440105319 0.443848431 0.447303593 0.450822711 0.455089986 0.459181935 0.462736607 0.466856331 0.471004188 0.474599302 0.478623062 0.482633084 0.486409009 0.490384161 0.494263798 0.497934818 0.502527833 0.506967068 0.511395097 0.515279412 0.519656062 0.523807406 0.528620422 0.532903016 0.53755033 0.54210031 0.547240257 0.550953507 0.555756927 0.560188532 0.565800369 0.57092911 0.575686812 0.581601083 0.587300062 0.59191978 0.59740293 0.603892446 0.610705256 0.616885304 0.623814464 0.631047487 0.638658643 0.646767318 0.654775739 0.661762595 0.668791413 0.677798152 0.68613112 0.696248412 0.705509543 0.718112707 0.728813112 0.741759181 0.753412604 0.76609242 0.78066802 0.797846317 0.819028497 0.841036081 0.873405814 0.919053316 1.13469779 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.4993896 22.3611526 22.9340057 23.4451027 24.020628 24.4982529 24.9587936 25.3467216 25.7384701 26.0955276 26.5632668 27.0068531 27.3327866 27.7018261 28.0656052 28.408741 28.7636242 29.1416321 29.4266567 29.7285309 30.1013451 30.4503288 30.772974 31.0667915 31.4030762 31.7362099 32.0996208 32.4172134 32.77771 33.1078758 33.3945312 33.7403069 34.0371857 34.3449059 34.6011429 34.9492264 35.2654114 35.5289993 35.8443832 36.1482849 36.4556961 36.8021469 37.1212425 37.5005188 37.8412628 38.1648026 38.5325203 38.865715 39.268116 39.6135941 39.9691772 40.3056679 40.6604462 41.0524139 41.3851318 41.7959785 42.2264977 42.6280365 42.993 43.3430481 43.7857361 44.2212563 44.6790848 45.1380539 45.6336212 46.1448364 46.5718422 47.0862961 47.5765839 48.1291466 48.7396393 49.343174 49.9146576 50.5689163 51.2071609 51.9086685 52.5926056 53.408432 54.1725159 55.0390663 55.8186874 56.6513748 57.6181183 58.6015244 59.567894 60.795433 61.9630737 63.2130928 64.9096909 66.6818542 68.1410217 69.9173355 72.2324219 74.7734222 77.8956299 81.6865387 86.4989471 91.2926712 100.91732 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.6870728 11.098134 11.4625893 11.9063206 12.2736502 12.5539961 12.8430977 13.1667767 13.4880028 13.7338123 14.023222 14.3528557 14.6502857 14.9216576 15.2231064 15.5355568 15.838418 16.1274529 16.4350471 16.7066154 16.9408226 17.2149658 17.5101986 17.7347431 17.9953537 18.2416115 18.5102501 18.7714195 19.0523643 19.3069229 19.5976868 19.9063148 20.2167778 20.5279274 20.8259659 21.1055489 21.3786888 21.6364231 21.902256 22.1537914 22.4250698 22.6962738 22.9868431 23.2436676 23.5125923 23.8110085 24.0964851 24.3932152 24.7000847 24.9724617 25.2784214 25.5559311 25.8003311 26.0650482 26.339304 26.6521225 26.9451065 27.2426376 27.5147057 27.7858753 27.9839725 28.2752228 28.5692158 28.8625793 29.1424904 29.4412422 29.7765903 30.1191368 30.4913044 30.8871765 31.2458153 31.5744324 31.9486427 32.3552704 32.7691956 33.1757202 33.5941772 33.984314 34.3896942 34.8313599 35.3264923 35.7985001 36.3722649 36.9470367 37.4933891 38.1246414 38.8848038 39.6712875 40.2666473 41.1412811 42.2017708 43.3321419 44.4042549 45.8365211 47.6397858 49.5618553 52.4767303 56.3118057 62.8575974 124.81353 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 62.4 46.0 51.5 25.7 46.9 59.6 51.2 60.7 -26.3 -16.1 -36.5 8.4 20.5 2 62.4 100.0 64.3 58.9 33.7 68.0 94.3 73.8 91.6 -46.7 -22.8 -48.1 28.0 31.1 3 46.0 64.3 100.0 42.3 7.2 32.8 67.6 52.2 70.3 -16.2 -24.9 -53.7 61.4 20.9 4 51.5 58.9 42.3 100.0 14.7 37.3 59.3 51.4 65.5 -12.4 -29.2 -60.6 16.1 70.0 5 25.7 33.7 7.2 14.7 100.0 83.1 6.3 54.9 55.9 21.7 -5.6 -9.9 -6.0 3.5 6 46.9 68.0 32.8 37.3 83.1 100.0 46.8 77.6 79.5 -7.6 -14.6 -29.0 7.6 17.1 7 59.6 94.3 67.6 59.3 6.3 46.8 100.0 66.1 80.0 -54.5 -22.0 -48.5 32.6 32.8 8 51.2 73.8 52.2 51.4 54.9 77.6 66.1 100.0 82.5 -12.7 -22.4 -43.3 22.9 28.7 9 60.7 91.6 70.3 65.5 55.9 79.5 80.0 82.5 100.0 -23.0 -25.9 -54.6 32.8 36.8 10 -26.3 -46.7 -16.2 -12.4 21.7 -7.6 -54.5 -12.7 -23.0 100.0 2.8 8.0 -4.3 -3.1 11 -16.1 -22.8 -24.9 -29.2 -5.6 -14.6 -22.0 -22.4 -25.9 2.8 100.0 54.1 -9.1 -18.2 12 -36.5 -48.1 -53.7 -60.6 -9.9 -29.0 -48.5 -43.3 -54.6 8.0 54.1 100.0 -24.8 -35.3 13 8.4 28.0 61.4 16.1 -6.0 7.6 32.6 22.9 32.8 -4.3 -9.1 -24.8 100.0 45.3 14 20.5 31.1 20.9 70.0 3.5 17.1 32.8 28.7 36.8 -3.1 -18.2 -35.3 45.3 100.0 TOTAL CORRELATION TO TARGET (diagonal) 155.473629 TOTAL CORRELATION OF ALL VARIABLES 69.7494844 ROUND 1: MAX CORR ( 69.731872) AFTER KILLING INPUT VARIABLE 8 CONTR 1.56735594 ROUND 2: MAX CORR ( 69.7159522) AFTER KILLING INPUT VARIABLE 11 CONTR 1.48995857 ROUND 3: MAX CORR ( 69.6219209) AFTER KILLING INPUT VARIABLE 12 CONTR 3.61968668 ROUND 4: MAX CORR ( 69.5090375) AFTER KILLING INPUT VARIABLE 14 CONTR 3.96302567 ROUND 5: MAX CORR ( 69.3912677) AFTER KILLING INPUT VARIABLE 6 CONTR 4.04453444 ROUND 6: MAX CORR ( 69.2034858) AFTER KILLING INPUT VARIABLE 7 CONTR 5.10152739 ROUND 7: MAX CORR ( 68.9756501) AFTER KILLING INPUT VARIABLE 10 CONTR 5.61089488 ROUND 8: MAX CORR ( 67.6525153) AFTER KILLING INPUT VARIABLE 9 CONTR 13.4453518 ROUND 9: MAX CORR ( 67.3408241) AFTER KILLING INPUT VARIABLE 5 CONTR 6.48661975 ROUND 10: MAX CORR ( 65.7135641) AFTER KILLING INPUT VARIABLE 3 CONTR 14.7144175 ROUND 11: MAX CORR ( 65.0412754) AFTER KILLING INPUT VARIABLE 13 CONTR 9.37576705 ROUND 12: MAX CORR ( 62.4393719) AFTER KILLING INPUT VARIABLE 4 CONTR 18.2124227 LAST REMAINING VARIABLE: 2 total correlation to target: 69.7494844 % total significance: 136.502576 sigma correlations of single variables to target: variable 2: 62.4393719 % , in sigma: 122.196388 variable 3: 45.9726426 % , in sigma: 89.97033 variable 4: 51.5147619 % , in sigma: 100.816483 variable 5: 25.7189821 % , in sigma: 50.3330933 variable 6: 46.936138 % , in sigma: 91.8559297 variable 7: 59.6423005 % , in sigma: 116.722406 variable 8: 51.2462495 % , in sigma: 100.290993 variable 9: 60.6941434 % , in sigma: 118.780905 variable 10: -26.2725397 % , in sigma: 51.416428 variable 11: -16.0547291 % , in sigma: 31.4197574 variable 12: -36.5308161 % , in sigma: 71.4922917 variable 13: 8.4196437 % , in sigma: 16.4775849 variable 14: 20.5207185 % , in sigma: 40.1598802 variables sorted by significance: 1 most relevant variable 2 corr 62.439373 , in sigma: 122.196391 2 most relevant variable 4 corr 18.2124233 , in sigma: 35.6424526 3 most relevant variable 13 corr 9.37576675 , in sigma: 18.3487566 4 most relevant variable 3 corr 14.7144175 , in sigma: 28.796713 5 most relevant variable 5 corr 6.48661995 , in sigma: 12.6945789 6 most relevant variable 9 corr 13.4453516 , in sigma: 26.3130995 7 most relevant variable 10 corr 5.61089468 , in sigma: 10.9807489 8 most relevant variable 7 corr 5.10152721 , in sigma: 9.98389609 9 most relevant variable 6 corr 4.04453421 , in sigma: 7.91531782 10 most relevant variable 14 corr 3.96302557 , in sigma: 7.7558021 11 most relevant variable 12 corr 3.6196866 , in sigma: 7.08387379 12 most relevant variable 11 corr 1.48995852 , in sigma: 2.91590939 13 most relevant variable 8 corr 1.56735599 , in sigma: 3.06737937 global correlations between input variables: variable 2: 99.1266934 % variable 3: 92.6514082 % variable 4: 91.7883211 % variable 5: 95.2223871 % variable 6: 94.357756 % variable 7: 98.6483697 % variable 8: 89.1160557 % variable 9: 98.8608942 % variable 10: 71.1323927 % variable 11: 55.2629018 % variable 12: 76.4702344 % variable 13: 84.1893008 % variable 14: 87.1823425 % significance loss when removing single variables: variable 2: corr = 6.10663334 % , sigma = 11.9509296 variable 3: corr = 16.7184888 % , sigma = 32.7187621 variable 4: corr = 18.3632811 % , sigma = 35.9376875 variable 5: corr = 11.0845014 % , sigma = 21.6928197 variable 6: corr = 3.26143108 % , sigma = 6.38275317 variable 7: corr = 3.45290818 % , sigma = 6.75748164 variable 8: corr = 1.56735594 % , sigma = 3.06737927 variable 9: corr = 12.4169332 % , sigma = 24.3004429 variable 10: corr = 4.9757744 % , sigma = 9.73779272 variable 11: corr = 1.58734487 % , sigma = 3.10649843 variable 12: corr = 2.5471602 % , sigma = 4.98489603 variable 13: corr = 7.47957731 % , sigma = 14.6378368 variable 14: corr = 4.04477756 % , sigma = 7.91579408 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 6 --> 17.0737858 sigma out 15 active outputs RANK 2 NODE 9 --> 16.8080597 sigma out 15 active outputs RANK 3 NODE 5 --> 15.2445736 sigma out 15 active outputs RANK 4 NODE 8 --> 14.0980549 sigma out 15 active outputs RANK 5 NODE 4 --> 12.9976168 sigma out 15 active outputs RANK 6 NODE 12 --> 12.1072874 sigma out 15 active outputs RANK 7 NODE 7 --> 11.1850147 sigma out 15 active outputs RANK 8 NODE 3 --> 10.1099195 sigma out 15 active outputs RANK 9 NODE 11 --> 9.63499165 sigma out 15 active outputs RANK 10 NODE 1 --> 9.20872784 sigma out 15 active outputs RANK 11 NODE 2 --> 7.61252117 sigma out 15 active outputs RANK 12 NODE 10 --> 4.63156939 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 28.6666088 sigma in 12act. ( 29.8911438 sig out 1act.) RANK 2 NODE 15 --> 19.5692844 sigma in 12act. ( 18.4388332 sig out 1act.) RANK 3 NODE 1 --> 14.1233635 sigma in 12act. ( 17.9755363 sig out 1act.) RANK 4 NODE 12 --> 11.065589 sigma in 12act. ( 12.5259647 sig out 1act.) RANK 5 NODE 11 --> 7.57316875 sigma in 12act. ( 7.59112883 sig out 1act.) RANK 6 NODE 4 --> 7.20572376 sigma in 12act. ( 8.30867672 sig out 1act.) RANK 7 NODE 13 --> 6.68791485 sigma in 12act. ( 7.68512058 sig out 1act.) RANK 8 NODE 2 --> 6.60805845 sigma in 12act. ( 8.03350163 sig out 1act.) RANK 9 NODE 5 --> 5.16705608 sigma in 12act. ( 10.7409019 sig out 1act.) RANK 10 NODE 9 --> 4.68982267 sigma in 12act. ( 6.43922615 sig out 1act.) RANK 11 NODE 7 --> 3.6475184 sigma in 12act. ( 5.65401936 sig out 1act.) RANK 12 NODE 10 --> 2.90692568 sigma in 12act. ( 4.07752562 sig out 1act.) RANK 13 NODE 8 --> 2.18066812 sigma in 12act. ( 0.13937813 sig out 1act.) RANK 14 NODE 3 --> 1.7136724 sigma in 12act. ( 0.798362792 sig out 1act.) RANK 15 NODE 14 --> 1.61085832 sigma in 12act. ( 0.866060317 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 29.8911438 sigma out 1act.( 28.6666088 sig in 12act.) RANK 2 NODE 15 --> 18.4388332 sigma out 1act.( 19.5692844 sig in 12act.) RANK 3 NODE 1 --> 17.9755363 sigma out 1act.( 14.1233635 sig in 12act.) RANK 4 NODE 12 --> 12.5259647 sigma out 1act.( 11.065589 sig in 12act.) RANK 5 NODE 5 --> 10.7409019 sigma out 1act.( 5.16705608 sig in 12act.) RANK 6 NODE 4 --> 8.30867672 sigma out 1act.( 7.20572376 sig in 12act.) RANK 7 NODE 2 --> 8.03350163 sigma out 1act.( 6.60805845 sig in 12act.) RANK 8 NODE 13 --> 7.68512058 sigma out 1act.( 6.68791485 sig in 12act.) RANK 9 NODE 11 --> 7.59112883 sigma out 1act.( 7.57316875 sig in 12act.) RANK 10 NODE 9 --> 6.43922615 sigma out 1act.( 4.68982267 sig in 12act.) RANK 11 NODE 7 --> 5.65401936 sigma out 1act.( 3.6475184 sig in 12act.) RANK 12 NODE 10 --> 4.07752562 sigma out 1act.( 2.90692568 sig in 12act.) RANK 13 NODE 14 --> 0.866060317 sigma out 1act.( 1.61085832 sig in 12act.) RANK 14 NODE 3 --> 0.798362792 sigma out 1act.( 1.7136724 sig in 12act.) RANK 15 NODE 8 --> 0.13937813 sigma out 1act.( 2.18066812 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 46.5894814 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 21.2554989 sigma out 15 active outputs RANK 2 NODE 6 --> 18.4142132 sigma out 15 active outputs RANK 3 NODE 9 --> 16.7905846 sigma out 15 active outputs RANK 4 NODE 5 --> 16.0652866 sigma out 15 active outputs RANK 5 NODE 8 --> 14.8028412 sigma out 15 active outputs RANK 6 NODE 7 --> 14.1300344 sigma out 15 active outputs RANK 7 NODE 4 --> 13.5391665 sigma out 15 active outputs RANK 8 NODE 12 --> 13.0970726 sigma out 15 active outputs RANK 9 NODE 1 --> 11.9320526 sigma out 15 active outputs RANK 10 NODE 3 --> 11.3061266 sigma out 15 active outputs RANK 11 NODE 11 --> 10.4653101 sigma out 15 active outputs RANK 12 NODE 10 --> 6.08188438 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 26.0494232 sigma in 12act. ( 27.3949738 sig out 1act.) RANK 2 NODE 15 --> 17.6299458 sigma in 12act. ( 16.4458237 sig out 1act.) RANK 3 NODE 1 --> 17.1511936 sigma in 12act. ( 17.7633438 sig out 1act.) RANK 4 NODE 5 --> 16.7458935 sigma in 12act. ( 13.0477419 sig out 1act.) RANK 5 NODE 12 --> 12.8548822 sigma in 12act. ( 11.9532976 sig out 1act.) RANK 6 NODE 2 --> 10.9575272 sigma in 12act. ( 8.0747261 sig out 1act.) RANK 7 NODE 4 --> 10.2622557 sigma in 12act. ( 8.5014286 sig out 1act.) RANK 8 NODE 7 --> 10.1424675 sigma in 12act. ( 7.17445374 sig out 1act.) RANK 9 NODE 9 --> 9.79574108 sigma in 12act. ( 7.06895781 sig out 1act.) RANK 10 NODE 11 --> 9.62861824 sigma in 12act. ( 7.50208187 sig out 1act.) RANK 11 NODE 13 --> 9.34556675 sigma in 12act. ( 7.3645606 sig out 1act.) RANK 12 NODE 10 --> 8.65718555 sigma in 12act. ( 5.34810257 sig out 1act.) RANK 13 NODE 8 --> 6.95137405 sigma in 12act. ( 0.482843071 sig out 1act.) RANK 14 NODE 3 --> 6.03698158 sigma in 12act. ( 1.03272557 sig out 1act.) RANK 15 NODE 14 --> 5.29534197 sigma in 12act. ( 1.3483299 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 27.3949738 sigma out 1act.( 26.0494232 sig in 12act.) RANK 2 NODE 1 --> 17.7633438 sigma out 1act.( 17.1511936 sig in 12act.) RANK 3 NODE 15 --> 16.4458237 sigma out 1act.( 17.6299458 sig in 12act.) RANK 4 NODE 5 --> 13.0477419 sigma out 1act.( 16.7458935 sig in 12act.) RANK 5 NODE 12 --> 11.9532976 sigma out 1act.( 12.8548822 sig in 12act.) RANK 6 NODE 4 --> 8.5014286 sigma out 1act.( 10.2622557 sig in 12act.) RANK 7 NODE 2 --> 8.0747261 sigma out 1act.( 10.9575272 sig in 12act.) RANK 8 NODE 11 --> 7.50208187 sigma out 1act.( 9.62861824 sig in 12act.) RANK 9 NODE 13 --> 7.3645606 sigma out 1act.( 9.34556675 sig in 12act.) RANK 10 NODE 7 --> 7.17445374 sigma out 1act.( 10.1424675 sig in 12act.) RANK 11 NODE 9 --> 7.06895781 sigma out 1act.( 9.79574108 sig in 12act.) RANK 12 NODE 10 --> 5.34810257 sigma out 1act.( 8.65718555 sig in 12act.) RANK 13 NODE 14 --> 1.3483299 sigma out 1act.( 5.29534197 sig in 12act.) RANK 14 NODE 3 --> 1.03272557 sigma out 1act.( 6.03698158 sig in 12act.) RANK 15 NODE 8 --> 0.482843071 sigma out 1act.( 6.95137405 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 45.0640373 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.42518425 *** contribution from regularisation: 0.00437840261 *** contribution from error: -0.429562658 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.476559877 *** contribution from regularisation: 0.00230566342 *** contribution from error: -0.478865534 *********************************************** -----------------> Test sample ENTER BFGS code START -44773.616 -0.42362234 -0.216044992 EXIT FROM BFGS code FG_START 0. -0.42362234 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.505306661 *** contribution from regularisation: 0.00239787786 *** contribution from error: -0.507704556 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -47464.4644 -0.42362234 -96.6126328 EXIT FROM BFGS code FG_LNSRCH 0. -0.438407511 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.539715111 *** contribution from regularisation: 0.00334913423 *** contribution from error: -0.543064237 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50696.5171 -0.438407511 -168.27739 EXIT FROM BFGS code NEW_X -50696.5171 -0.438407511 -168.27739 ENTER BFGS code NEW_X -50696.5171 -0.438407511 -168.27739 EXIT FROM BFGS code FG_LNSRCH 0. -0.460966766 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.543217838 *** contribution from regularisation: 0.00337178726 *** contribution from error: -0.546589613 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51025.5367 -0.460966766 -89.699173 EXIT FROM BFGS code NEW_X -51025.5367 -0.460966766 -89.699173 ENTER BFGS code NEW_X -51025.5367 -0.460966766 -89.699173 EXIT FROM BFGS code FG_LNSRCH 0. -0.494124353 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.546628714 *** contribution from regularisation: 0.00334332371 *** contribution from error: -0.549972057 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51345.929 -0.494124353 -5.91859913 EXIT FROM BFGS code NEW_X -51345.929 -0.494124353 -5.91859913 ENTER BFGS code NEW_X -51345.929 -0.494124353 -5.91859913 EXIT FROM BFGS code FG_LNSRCH 0. -0.508956134 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.54768151 *** contribution from regularisation: 0.00327482703 *** contribution from error: -0.550956309 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51444.8176 -0.508956134 24.1754818 EXIT FROM BFGS code NEW_X -51444.8176 -0.508956134 24.1754818 ENTER BFGS code NEW_X -51444.8176 -0.508956134 24.1754818 EXIT FROM BFGS code FG_LNSRCH 0. -0.5113855 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.548489153 *** contribution from regularisation: 0.00322793005 *** contribution from error: -0.551717103 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51520.6846 -0.5113855 23.0880299 EXIT FROM BFGS code NEW_X -51520.6846 -0.5113855 23.0880299 ENTER BFGS code NEW_X -51520.6846 -0.5113855 23.0880299 EXIT FROM BFGS code FG_LNSRCH 0. -0.511481166 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.550345302 *** contribution from regularisation: 0.00334124616 *** contribution from error: -0.553686559 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51695.034 -0.511481166 6.76156855 EXIT FROM BFGS code NEW_X -51695.034 -0.511481166 6.76156855 ENTER BFGS code NEW_X -51695.034 -0.511481166 6.76156855 EXIT FROM BFGS code FG_LNSRCH 0. -0.51069057 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 47.5716324 sigma out 15 active outputs RANK 2 NODE 9 --> 23.7339478 sigma out 15 active outputs RANK 3 NODE 1 --> 23.5785198 sigma out 15 active outputs RANK 4 NODE 11 --> 18.1276035 sigma out 15 active outputs RANK 5 NODE 8 --> 16.4455204 sigma out 15 active outputs RANK 6 NODE 7 --> 15.7829828 sigma out 15 active outputs RANK 7 NODE 12 --> 14.9517212 sigma out 15 active outputs RANK 8 NODE 10 --> 14.7732496 sigma out 15 active outputs RANK 9 NODE 6 --> 14.5173836 sigma out 15 active outputs RANK 10 NODE 4 --> 13.3372002 sigma out 15 active outputs RANK 11 NODE 5 --> 12.246007 sigma out 15 active outputs RANK 12 NODE 3 --> 9.89090157 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 50.3437195 sigma in 12act. ( 48.3407364 sig out 1act.) RANK 2 NODE 7 --> 20.1991158 sigma in 12act. ( 17.0412941 sig out 1act.) RANK 3 NODE 13 --> 18.9907837 sigma in 12act. ( 16.5260258 sig out 1act.) RANK 4 NODE 4 --> 18.8977165 sigma in 12act. ( 16.5857773 sig out 1act.) RANK 5 NODE 2 --> 18.0854549 sigma in 12act. ( 16.2438297 sig out 1act.) RANK 6 NODE 6 --> 16.6998577 sigma in 12act. ( 14.6164036 sig out 1act.) RANK 7 NODE 3 --> 14.0599747 sigma in 12act. ( 12.1704893 sig out 1act.) RANK 8 NODE 12 --> 13.2842026 sigma in 12act. ( 12.091794 sig out 1act.) RANK 9 NODE 9 --> 13.1522894 sigma in 12act. ( 11.4608221 sig out 1act.) RANK 10 NODE 10 --> 13.0428534 sigma in 12act. ( 11.2868443 sig out 1act.) RANK 11 NODE 1 --> 9.87899685 sigma in 12act. ( 6.76927137 sig out 1act.) RANK 12 NODE 15 --> 8.10857105 sigma in 12act. ( 6.30979538 sig out 1act.) RANK 13 NODE 14 --> 7.98698711 sigma in 12act. ( 5.96216631 sig out 1act.) RANK 14 NODE 8 --> 7.12296915 sigma in 12act. ( 7.41888475 sig out 1act.) RANK 15 NODE 11 --> 6.88095522 sigma in 12act. ( 4.94971561 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 48.3407364 sigma out 1act.( 50.3437195 sig in 12act.) RANK 2 NODE 7 --> 17.0412941 sigma out 1act.( 20.1991158 sig in 12act.) RANK 3 NODE 4 --> 16.5857773 sigma out 1act.( 18.8977165 sig in 12act.) RANK 4 NODE 13 --> 16.5260258 sigma out 1act.( 18.9907837 sig in 12act.) RANK 5 NODE 2 --> 16.2438297 sigma out 1act.( 18.0854549 sig in 12act.) RANK 6 NODE 6 --> 14.6164036 sigma out 1act.( 16.6998577 sig in 12act.) RANK 7 NODE 3 --> 12.1704893 sigma out 1act.( 14.0599747 sig in 12act.) RANK 8 NODE 12 --> 12.091794 sigma out 1act.( 13.2842026 sig in 12act.) RANK 9 NODE 9 --> 11.4608221 sigma out 1act.( 13.1522894 sig in 12act.) RANK 10 NODE 10 --> 11.2868443 sigma out 1act.( 13.0428534 sig in 12act.) RANK 11 NODE 8 --> 7.41888475 sigma out 1act.( 7.12296915 sig in 12act.) RANK 12 NODE 1 --> 6.76927137 sigma out 1act.( 9.87899685 sig in 12act.) RANK 13 NODE 15 --> 6.30979538 sigma out 1act.( 8.10857105 sig in 12act.) RANK 14 NODE 14 --> 5.96216631 sigma out 1act.( 7.98698711 sig in 12act.) RANK 15 NODE 11 --> 4.94971561 sigma out 1act.( 6.88095522 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 66.3832092 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.551593661 *** contribution from regularisation: 0.00345736276 *** contribution from error: -0.555051029 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51812.2984 -0.51069057 38.8245888 EXIT FROM BFGS code NEW_X -51812.2984 -0.51069057 38.8245888 ENTER BFGS code NEW_X -51812.2984 -0.51069057 38.8245888 EXIT FROM BFGS code FG_LNSRCH 0. -0.490259618 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.552349031 *** contribution from regularisation: 0.00339165959 *** contribution from error: -0.555740714 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51883.2475 -0.490259618 -13.1026096 EXIT FROM BFGS code NEW_X -51883.2475 -0.490259618 -13.1026096 ENTER BFGS code NEW_X -51883.2475 -0.490259618 -13.1026096 EXIT FROM BFGS code FG_LNSRCH 0. -0.49140954 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.552741647 *** contribution from regularisation: 0.00326289865 *** contribution from error: -0.556004524 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51920.127 -0.49140954 -11.8912973 EXIT FROM BFGS code NEW_X -51920.127 -0.49140954 -11.8912973 ENTER BFGS code NEW_X -51920.127 -0.49140954 -11.8912973 EXIT FROM BFGS code FG_LNSRCH 0. -0.496885806 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.553352654 *** contribution from regularisation: 0.00320566283 *** contribution from error: -0.556558311 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51977.5195 -0.496885806 -32.858532 EXIT FROM BFGS code NEW_X -51977.5195 -0.496885806 -32.858532 ENTER BFGS code NEW_X -51977.5195 -0.496885806 -32.858532 EXIT FROM BFGS code FG_LNSRCH 0. -0.520018101 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.553821683 *** contribution from regularisation: 0.00319863064 *** contribution from error: -0.557020307 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52021.577 -0.520018101 34.7982178 EXIT FROM BFGS code NEW_X -52021.577 -0.520018101 34.7982178 ENTER BFGS code NEW_X -52021.577 -0.520018101 34.7982178 EXIT FROM BFGS code FG_LNSRCH 0. -0.527992606 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.554266036 *** contribution from regularisation: 0.00315198 *** contribution from error: -0.557417989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52063.3175 -0.527992606 -0.312427878 EXIT FROM BFGS code NEW_X -52063.3175 -0.527992606 -0.312427878 ENTER BFGS code NEW_X -52063.3175 -0.527992606 -0.312427878 EXIT FROM BFGS code FG_LNSRCH 0. -0.525579751 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.554311097 *** contribution from regularisation: 0.0032325855 *** contribution from error: -0.557543695 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52067.5506 -0.525579751 -8.20747566 EXIT FROM BFGS code NEW_X -52067.5506 -0.525579751 -8.20747566 ENTER BFGS code NEW_X -52067.5506 -0.525579751 -8.20747566 EXIT FROM BFGS code FG_LNSRCH 0. -0.530529737 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.554512918 *** contribution from regularisation: 0.00316527905 *** contribution from error: -0.557678223 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52086.5063 -0.530529737 3.91502714 EXIT FROM BFGS code NEW_X -52086.5063 -0.530529737 3.91502714 ENTER BFGS code NEW_X -52086.5063 -0.530529737 3.91502714 EXIT FROM BFGS code FG_LNSRCH 0. -0.550151885 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.554690599 *** contribution from regularisation: 0.00283920928 *** contribution from error: -0.557529807 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52103.1963 -0.550151885 -61.4029312 EXIT FROM BFGS code NEW_X -52103.1963 -0.550151885 -61.4029312 ENTER BFGS code NEW_X -52103.1963 -0.550151885 -61.4029312 EXIT FROM BFGS code FG_LNSRCH 0. -0.566666842 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.554432213 *** contribution from regularisation: 0.00334941526 *** contribution from error: -0.557781637 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52078.9266 -0.566666842 80.9274979 EXIT FROM BFGS code FG_LNSRCH 0. -0.554999828 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 70.3121872 sigma out 15 active outputs RANK 2 NODE 9 --> 32.2224236 sigma out 15 active outputs RANK 3 NODE 1 --> 31.544735 sigma out 15 active outputs RANK 4 NODE 6 --> 23.1424961 sigma out 15 active outputs RANK 5 NODE 7 --> 21.5576973 sigma out 15 active outputs RANK 6 NODE 11 --> 19.818819 sigma out 15 active outputs RANK 7 NODE 3 --> 17.7825756 sigma out 15 active outputs RANK 8 NODE 8 --> 17.4986019 sigma out 15 active outputs RANK 9 NODE 4 --> 17.3824272 sigma out 15 active outputs RANK 10 NODE 12 --> 16.8166637 sigma out 15 active outputs RANK 11 NODE 10 --> 16.4282894 sigma out 15 active outputs RANK 12 NODE 5 --> 10.9674206 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 83.2767639 sigma in 12act. ( 79.8668289 sig out 1act.) RANK 2 NODE 2 --> 24.6592369 sigma in 12act. ( 27.1921787 sig out 1act.) RANK 3 NODE 4 --> 23.0085354 sigma in 12act. ( 22.944664 sig out 1act.) RANK 4 NODE 7 --> 19.541975 sigma in 12act. ( 19.3077393 sig out 1act.) RANK 5 NODE 3 --> 16.9691963 sigma in 12act. ( 15.9181452 sig out 1act.) RANK 6 NODE 8 --> 16.901823 sigma in 12act. ( 19.9692421 sig out 1act.) RANK 7 NODE 13 --> 16.4113159 sigma in 12act. ( 14.7537584 sig out 1act.) RANK 8 NODE 12 --> 16.290163 sigma in 12act. ( 15.0466642 sig out 1act.) RANK 9 NODE 10 --> 11.6769905 sigma in 12act. ( 11.4881659 sig out 1act.) RANK 10 NODE 14 --> 9.1115284 sigma in 12act. ( 8.07966423 sig out 1act.) RANK 11 NODE 6 --> 8.473773 sigma in 12act. ( 7.21059179 sig out 1act.) RANK 12 NODE 9 --> 6.07807684 sigma in 12act. ( 3.64164376 sig out 1act.) RANK 13 NODE 11 --> 5.50117588 sigma in 12act. ( 4.73802376 sig out 1act.) RANK 14 NODE 15 --> 5.24706793 sigma in 12act. ( 3.69998598 sig out 1act.) RANK 15 NODE 1 --> 4.37936926 sigma in 12act. ( 1.64316893 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 79.8668289 sigma out 1act.( 83.2767639 sig in 12act.) RANK 2 NODE 2 --> 27.1921787 sigma out 1act.( 24.6592369 sig in 12act.) RANK 3 NODE 4 --> 22.944664 sigma out 1act.( 23.0085354 sig in 12act.) RANK 4 NODE 8 --> 19.9692421 sigma out 1act.( 16.901823 sig in 12act.) RANK 5 NODE 7 --> 19.3077393 sigma out 1act.( 19.541975 sig in 12act.) RANK 6 NODE 3 --> 15.9181452 sigma out 1act.( 16.9691963 sig in 12act.) RANK 7 NODE 12 --> 15.0466642 sigma out 1act.( 16.290163 sig in 12act.) RANK 8 NODE 13 --> 14.7537584 sigma out 1act.( 16.4113159 sig in 12act.) RANK 9 NODE 10 --> 11.4881659 sigma out 1act.( 11.6769905 sig in 12act.) RANK 10 NODE 14 --> 8.07966423 sigma out 1act.( 9.1115284 sig in 12act.) RANK 11 NODE 6 --> 7.21059179 sigma out 1act.( 8.473773 sig in 12act.) RANK 12 NODE 11 --> 4.73802376 sigma out 1act.( 5.50117588 sig in 12act.) RANK 13 NODE 15 --> 3.69998598 sigma out 1act.( 5.24706793 sig in 12act.) RANK 14 NODE 9 --> 3.64164376 sigma out 1act.( 6.07807684 sig in 12act.) RANK 15 NODE 1 --> 1.64316893 sigma out 1act.( 4.37936926 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 97.0307007 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.554549813 *** contribution from regularisation: 0.00328342337 *** contribution from error: -0.557833254 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -52089.9707 -0.554999828 -20.2951355 EXIT FROM BFGS code FG_LNSRCH 0. -0.550886691 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.554305017 *** contribution from regularisation: 0.00328463828 *** contribution from error: -0.55758965 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52066.9794 -0.550886691 -56.6652222 EXIT FROM BFGS code FG_LNSRCH 0. -0.550165832 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.55426234 *** contribution from regularisation: 0.0032685576 *** contribution from error: -0.55753088 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52062.9704 -0.550165832 -63.1623306 EXIT FROM BFGS code FG_LNSRCH 0. -0.550151885 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.554270148 *** contribution from regularisation: 0.00325967674 *** contribution from error: -0.557529807 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52063.7009 -0.550151885 -63.1972237 EXIT FROM BFGS code FG_LNSRCH 0. -0.550151885 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.554262102 *** contribution from regularisation: 0.0032676917 *** contribution from error: -0.557529807 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52062.948 -0.550151885 -63.1244736 EXIT FROM BFGS code FG_LNSRCH 0. -0.550151885 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.554250419 *** contribution from regularisation: 0.00327937515 *** contribution from error: -0.557529807 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52061.8506 -0.550151885 -63.3804703 EXIT FROM BFGS code FG_LNSRCH 0. -0.550151885 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.554259777 *** contribution from regularisation: 0.00327004003 *** contribution from error: -0.557529807 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52062.7274 -0.550151885 -63.4077072 EXIT FROM BFGS code NEW_X -52062.7274 -0.550151885 -63.4077072 ENTER BFGS code NEW_X -52062.7274 -0.550151885 -63.4077072 EXIT FROM BFGS code CONVERGENC -52062.7274 -0.550151885 -63.4077072 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 107.868378 sigma out 15 active outputs RANK 2 NODE 9 --> 50.1008453 sigma out 15 active outputs RANK 3 NODE 1 --> 47.56427 sigma out 15 active outputs RANK 4 NODE 6 --> 34.9698601 sigma out 15 active outputs RANK 5 NODE 7 --> 32.7036171 sigma out 15 active outputs RANK 6 NODE 11 --> 30.6769142 sigma out 15 active outputs RANK 7 NODE 3 --> 27.3693466 sigma out 15 active outputs RANK 8 NODE 4 --> 26.6621475 sigma out 15 active outputs RANK 9 NODE 8 --> 25.4166145 sigma out 15 active outputs RANK 10 NODE 12 --> 25.218771 sigma out 15 active outputs RANK 11 NODE 10 --> 23.9316711 sigma out 15 active outputs RANK 12 NODE 5 --> 16.770956 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 128.255829 sigma in 12act. ( 122.187309 sig out 1act.) RANK 2 NODE 2 --> 37.4921074 sigma in 12act. ( 41.2731628 sig out 1act.) RANK 3 NODE 4 --> 35.4136353 sigma in 12act. ( 35.0702744 sig out 1act.) RANK 4 NODE 7 --> 29.2880669 sigma in 12act. ( 29.5576324 sig out 1act.) RANK 5 NODE 3 --> 25.8859062 sigma in 12act. ( 25.2530766 sig out 1act.) RANK 6 NODE 8 --> 25.761013 sigma in 12act. ( 30.506834 sig out 1act.) RANK 7 NODE 13 --> 24.1001091 sigma in 12act. ( 22.8189106 sig out 1act.) RANK 8 NODE 12 --> 23.9690971 sigma in 12act. ( 23.5540485 sig out 1act.) RANK 9 NODE 10 --> 16.4343987 sigma in 12act. ( 17.6387691 sig out 1act.) RANK 10 NODE 14 --> 13.5136557 sigma in 12act. ( 12.2508783 sig out 1act.) RANK 11 NODE 6 --> 11.9678497 sigma in 12act. ( 11.0220985 sig out 1act.) RANK 12 NODE 11 --> 7.99332333 sigma in 12act. ( 7.0919075 sig out 1act.) RANK 13 NODE 9 --> 7.31265354 sigma in 12act. ( 5.53110981 sig out 1act.) RANK 14 NODE 15 --> 6.65910673 sigma in 12act. ( 5.60272503 sig out 1act.) RANK 15 NODE 1 --> 4.86198902 sigma in 12act. ( 2.51364875 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 122.187309 sigma out 1act.( 128.255829 sig in 12act.) RANK 2 NODE 2 --> 41.2731628 sigma out 1act.( 37.4921074 sig in 12act.) RANK 3 NODE 4 --> 35.0702744 sigma out 1act.( 35.4136353 sig in 12act.) RANK 4 NODE 8 --> 30.506834 sigma out 1act.( 25.761013 sig in 12act.) RANK 5 NODE 7 --> 29.5576324 sigma out 1act.( 29.2880669 sig in 12act.) RANK 6 NODE 3 --> 25.2530766 sigma out 1act.( 25.8859062 sig in 12act.) RANK 7 NODE 12 --> 23.5540485 sigma out 1act.( 23.9690971 sig in 12act.) RANK 8 NODE 13 --> 22.8189106 sigma out 1act.( 24.1001091 sig in 12act.) RANK 9 NODE 10 --> 17.6387691 sigma out 1act.( 16.4343987 sig in 12act.) RANK 10 NODE 14 --> 12.2508783 sigma out 1act.( 13.5136557 sig in 12act.) RANK 11 NODE 6 --> 11.0220985 sigma out 1act.( 11.9678497 sig in 12act.) RANK 12 NODE 11 --> 7.0919075 sigma out 1act.( 7.99332333 sig in 12act.) RANK 13 NODE 15 --> 5.60272503 sigma out 1act.( 6.65910673 sig in 12act.) RANK 14 NODE 9 --> 5.53110981 sigma out 1act.( 7.31265354 sig in 12act.) RANK 15 NODE 1 --> 2.51364875 sigma out 1act.( 4.86198902 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 148.600021 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.554257572 *** contribution from regularisation: 0.00327225239 *** contribution from error: -0.557529807 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done