NNInput NNInputs_115.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= 11511 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 = 2744 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 2744 Chosen entries: 2744 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.312992 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 2744 Entries to split: 2744 Test with : 1372 Train with : 1372 ********************************************* * 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= 2744 for Signal Prepared event 0 for Signal with 2744 events ====Entry 0 Variable Ht : 156.196 Variable LepAPt : 57.9888 Variable LepBPt : 13.9481 Variable MetSigLeptonsJets : 6.20941 Variable MetSpec : 60.6843 Variable SumEtLeptonsJets : 95.5107 Variable VSumJetLeptonsPt : 68.9546 Variable addEt : 132.622 Variable dPhiLepSumMet : 2.05791 Variable dPhiLeptons : 0.155727 Variable dRLeptons : 0.451898 Variable lep1_E : 58.2905 Variable lep2_E : 15.9244 ===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 = 2115 Ht = 156.196 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 57.9889 LepAPt = 57.9888 LepBEt = 13.9487 LepBPt = 13.9481 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 60.6843 MetDelPhi = 2.02778 MetSig = 4.31455 MetSigLeptonsJets = 6.20941 MetSpec = 60.6843 Mjj = 0 MostCentralJetEta = 1.07733 MtllMet = 134.212 Njets = 1 SB = 0 SumEt = 197.825 SumEtJets = 0 SumEtLeptonsJets = 95.5107 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 68.9546 addEt = 132.622 dPhiLepSumMet = 2.05791 dPhiLeptons = 0.155727 dRLeptons = 0.451898 diltype = 41 dimass = 12.9401 event = 4305 jet1_Et = 23.5738 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 58.2905 lep2_E = 15.9244 rand = 0.999742 run = 237795 weight = 5.3487e-07 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===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 = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 3.48905 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 292 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 11511 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 292 negative weights. Signal fraction: 66.1508942 % ------------------------------ 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 58.1729546 61.405098 66.7204895 67.1904449 68.3614502 68.5909271 68.9817429 70.2088394 71.3836441 73.9899902 74.4365921 75.5323944 75.5471725 77.1990662 79.1805954 79.7784271 80.6416855 80.796936 81.2958221 82.420639 82.4283981 84.0830688 84.5325241 85.5795746 86.196991 86.5880432 87.7778702 88.9572601 89.2348022 89.2826843 89.9453888 91.0360413 91.9614868 91.9854126 92.2408905 92.8872223 93.5652466 94.6912384 95.1874313 95.6014862 96.4172821 96.6403046 97.1447525 97.2866974 97.8785095 98.9468155 100.144775 100.903992 101.840347 102.124611 102.651443 103.630325 104.51387 105.334579 106.105911 106.258644 106.949493 107.551971 108.342987 109.191414 109.304016 110.244919 110.81514 111.515869 112.84034 113.736763 115.231293 116.257812 117.631668 119.240257 120.549789 122.002563 124.115677 125.221458 125.92318 127.664078 129.182434 131.44873 133.871643 135.747131 138.001648 140.512054 142.897888 145.473175 147.860443 148.139038 150.882767 155.279846 156.287216 158.254608 160.273163 163.558258 168.61673 173.961304 179.843262 186.007431 196.854416 209.821686 230.631683 260.638794 484.526825 ------------------------------ Transdef: Tab for variable 3 20.0131779 20.1085281 20.3627796 20.4545612 20.8034477 21.1878929 21.5151138 21.8485069 22.0091763 22.0446224 22.475256 22.7668839 22.8639984 23.1001396 23.5222855 23.5912209 23.790966 23.911644 24.1214504 24.5121803 24.8503799 25.1100521 25.2485752 25.4734001 25.7573051 25.9918785 26.1303558 26.3208504 26.4293518 26.5634823 26.8987808 27.1256409 27.3083572 27.5938225 27.6187019 27.7720108 27.9272861 27.9934311 28.2306747 28.5566101 28.6138954 28.9844112 29.1379261 29.2424011 29.3684101 29.5100689 29.959198 30.1369667 30.3836384 30.5457172 30.6217098 30.6455269 31.0324249 31.0909195 31.3186665 31.6334305 31.9126415 31.9509468 32.118763 32.2841873 32.5827255 32.8493271 33.1125107 33.2388763 33.4126587 33.6756935 34.0876808 34.1800804 34.4198837 34.4821548 34.8317108 35.0813637 35.3779449 35.7120667 36.0011063 36.4587936 36.8328552 37.294117 37.5980301 37.9823608 38.0891342 38.4569397 38.9870377 39.5639648 40.2538147 40.457943 40.7931061 41.5796471 42.0867233 42.7659836 43.5671005 44.3677673 45.438797 46.5644836 48.546627 50.7195816 50.767868 54.7220955 59.8505516 65.2657928 85.3608017 ------------------------------ Transdef: Tab for variable 4 10.0006361 10.1432018 10.1778126 10.2587643 10.2849007 10.3746109 10.3762484 10.378602 10.4561281 10.624959 10.727581 10.7928219 10.8864517 11.0011578 11.0021496 11.1002989 11.2072372 11.2996912 11.3505955 11.4171143 11.4691076 11.5944843 11.6343746 11.6865578 11.7514343 11.9242878 12.0974627 12.2240791 12.463398 12.5912457 12.6544037 12.6747341 12.8177786 12.9482784 12.965538 13.1031809 13.2647953 13.3588858 13.3997803 13.4773979 13.4952984 13.579586 13.7274847 13.8735676 13.9124012 14.0976372 14.1457481 14.2878437 14.4964561 14.7745991 14.9379015 15.1228781 15.2862434 15.2915459 15.360157 15.3669386 15.4333744 15.5991383 15.839653 15.9961367 16.2457352 16.4462376 16.5916233 16.6733456 16.7297802 16.85849 17.1718102 17.4040031 17.7268524 18.0163422 18.3092728 18.5368576 18.7533112 18.8021221 19.0767956 19.3710003 19.5905647 19.9965019 20.2272873 20.4089527 20.4876862 20.7481976 20.9610653 21.1523724 21.4299431 21.7398796 21.9314098 21.9828911 22.2954712 22.8664055 23.3815899 23.708662 24.044096 24.6557961 25.3596497 26.1862965 26.2869301 27.3713703 27.8491707 29.3291664 37.7070541 ------------------------------ Transdef: Tab for variable 5 2.22303176 2.84129906 3.19418859 3.25008202 3.36268759 3.54186964 3.71223521 3.86495757 3.98783708 4.18286085 4.19530678 4.32247543 4.46995354 4.59320307 4.59323215 4.62871361 4.65158176 4.70342684 4.73454428 4.78783512 4.81018257 4.91363335 5.03778934 5.09595013 5.13955879 5.15484905 5.15501451 5.25352383 5.3135128 5.38016033 5.46700001 5.52413654 5.61348867 5.671525 5.70110893 5.74624825 5.81508827 5.83799124 5.86767769 5.93141174 5.98928833 6.05073071 6.10448933 6.16211987 6.1789875 6.21166182 6.21832371 6.2183733 6.26191664 6.26230764 6.31679153 6.33946991 6.3562603 6.40545368 6.45522213 6.48770952 6.50976849 6.51664734 6.58942604 6.64657784 6.65190125 6.69228315 6.74385834 6.77809286 6.82902241 6.82966232 6.87250137 6.93814182 6.96696758 6.98206711 7.03263664 7.08067799 7.13697767 7.1894536 7.22897148 7.25822783 7.27436447 7.31097364 7.33886337 7.39768553 7.4892025 7.54840088 7.60916615 7.6703496 7.69026756 7.71412134 7.79131985 7.84180641 7.85743761 7.94902706 8.0518713 8.15570927 8.29610062 8.47767067 8.52575588 8.73409176 8.76733398 9.01748657 9.25344467 9.77128792 18.0860367 ------------------------------ Transdef: Tab for variable 6 25.0143108 27.0051575 27.0176315 27.205719 28.2322426 28.7967606 29.3490143 29.4300003 30.1307144 30.9257679 31.2916927 31.7074776 31.9043064 32.4518471 33.3224373 33.5753937 34.16996 34.7837296 34.8487968 35.1797905 35.648201 36.2701187 36.4739532 36.6267014 37.1837997 37.7793427 37.8141823 37.8660812 37.8686943 38.0357819 38.1214638 38.7422104 39.2793884 39.7416344 39.7982864 40.2797775 40.3361778 40.3691216 40.809597 41.3402405 41.8684464 42.4076653 42.9128265 42.9728889 43.2396545 43.5996284 43.757782 44.1038551 44.6788254 44.7560349 45.3682022 45.8370285 45.9243546 46.2746582 46.6918793 46.8121109 47.1555367 47.7264328 48.1285706 48.6836205 48.8818398 49.0920563 49.2216225 49.423027 49.7386551 50.2586212 50.5433807 50.9236526 51.410675 51.8757172 52.3619995 52.9790192 53.235611 53.3639908 53.8638458 54.2453461 54.7546997 55.1310196 55.7341614 56.5057526 56.898468 56.97332 57.6427994 57.9948425 58.7065353 59.5090637 60.151741 61.2635231 62.7829514 63.8526459 65.525238 67.0570221 68.522995 69.5303574 70.4272156 74.0157394 77.0650101 77.4957504 83.3380585 91.9896469 187.785034 ------------------------------ Transdef: Tab for variable 7 30.3449535 30.7424355 32.8189392 34.2042923 34.7053986 35.9687233 36.5659027 36.7721367 37.0686226 37.4949188 37.6007767 37.7666092 38.3015709 38.6827011 39.765728 40.3700409 40.3984642 40.5596161 41.2203598 41.4843674 41.6181412 41.9663391 42.0852432 42.0866661 42.6810265 43.6792297 44.1796494 44.7154694 45.145874 45.1501236 45.3502808 45.4760513 45.9506378 45.9886475 46.4995079 47.0399475 47.2748642 47.4700775 48.021904 48.5263634 48.9683075 49.4773483 50.0197449 50.6464272 51.1501083 51.5779419 52.1178665 52.6255264 52.6286621 53.0251389 53.1092682 53.5727196 54.1975288 54.888176 55.5960159 56.5446701 57.1473312 57.8176117 59.0226212 60.1586113 60.2391357 61.3168716 61.5523643 62.8911896 64.4738846 64.8877716 65.7525635 66.8558578 67.7954865 69.202858 70.6026001 71.8187714 73.3634338 74.0325851 75.5871124 76.8786774 78.1548004 78.5523605 78.7845764 80.3775024 82.5196838 85.1423492 87.6500397 89.7905273 91.2374878 93.1162491 93.7361145 95.7262726 98.1118927 101.524551 105.042877 108.711502 112.102554 115.833054 120.996552 127.436523 134.898193 143.954681 157.180359 186.819824 286.716553 ------------------------------ Transdef: Tab for variable 8 3.22948813 24.0494957 27.8586884 28.3040924 28.7937012 29.8578949 31.5855598 32.3122787 32.9818573 32.9879684 33.8979568 33.9003448 34.6867065 35.2202492 35.3002319 36.0278473 36.1570435 36.4128799 36.5817528 36.8707581 37.0720253 37.2924347 37.8572121 38.0208931 38.4554825 38.5765762 38.9590073 39.3293839 39.6559868 40.1625061 40.779583 40.8079758 41.1112289 41.2147293 41.3063354 41.762085 41.7676811 42.0744858 42.6186295 43.1794815 43.4723892 43.6845512 43.7348175 43.7549591 44.1624222 44.2777328 44.2889862 44.7398415 45.1505051 45.2187386 45.2420273 45.5721283 45.9587173 46.3142471 46.669838 47.223587 47.5218887 47.9356079 48.4196014 48.450489 48.7094955 49.060276 49.4165268 49.8040466 50.1808472 50.7827911 51.0388603 51.0544434 51.486763 51.7941742 52.0961914 52.4194145 52.8309174 53.0161057 53.3110313 53.7005081 54.2951889 54.8536949 55.6179543 56.1658669 56.8152542 57.6540222 58.5410004 59.3920898 60.5653381 61.6147156 62.6946869 63.8795586 65.342186 66.8413467 68.6273499 71.199028 72.1362915 74.1989594 76.6127777 78.5496368 78.617012 80.2006378 87.5747833 101.579056 200.177673 ------------------------------ Transdef: Tab for variable 9 56.5870285 61.405098 66.2204742 67.1904449 68.3330002 68.5909271 68.6114044 70.2088394 70.2826996 71.927948 73.6422882 74.4365921 74.8010712 75.2234039 75.5323944 76.0166626 77.2642212 78.684433 79.7458954 79.7720184 79.7868118 80.6201477 80.6500854 81.2958221 81.5861588 82.420639 82.8406677 83.6092377 84.3806152 84.5325241 84.9736938 85.7394562 86.1977081 86.5320663 87.3962784 88.2940521 88.9666061 89.2368774 89.2826843 89.3442841 89.6425934 89.6542435 89.9880219 90.1574936 90.8302155 91.4020081 91.9645233 92.0263367 92.2904663 92.7023773 93.1924591 93.82724 94.4185944 95.1332092 95.2108459 95.676178 96.4191589 96.9153137 97.6872101 98.3770752 99.1034241 99.6564102 100.384064 100.885689 101.566223 102.124611 102.264862 102.66391 103.352959 104.130798 104.647408 105.347343 105.862152 106.257111 106.41507 107.004684 107.533478 108.108749 108.917587 109.408966 110.197632 111.034431 111.911591 113.011726 113.632736 114.613068 115.998322 116.775681 117.756905 118.632591 119.807053 121.692566 124.124008 126.707924 132.800934 138.587708 145.967285 148.139038 156.138046 159.775665 254.007599 ------------------------------ Transdef: Tab for variable 10 0.334371448 0.901949644 1.149809 1.32710898 1.48344564 1.58533263 1.65924799 1.77039921 1.85855246 1.92093945 1.99914336 2.0595336 2.11287522 2.17161131 2.21713877 2.24158406 2.25245047 2.29576397 2.34173632 2.37872767 2.42654848 2.46382904 2.47934628 2.50222826 2.54105902 2.58538771 2.61656046 2.61862826 2.66495419 2.69494176 2.72054315 2.74161839 2.76680589 2.77335882 2.77895093 2.78363371 2.8048315 2.82222962 2.83639812 2.83979106 2.84513426 2.8544383 2.86361694 2.86757994 2.87211466 2.88778496 2.89642143 2.8973856 2.91064548 2.9157815 2.92638707 2.9416399 2.95632172 2.96487689 2.96574354 2.97458458 2.97854042 2.98210192 2.98398209 2.98956919 2.99665308 3.00283432 3.00464821 3.01163101 3.01924562 3.02580357 3.02821016 3.03541613 3.03560781 3.04043078 3.04614782 3.05038595 3.05389619 3.0578413 3.05784535 3.06173444 3.06282067 3.06780386 3.07086682 3.07558894 3.07993317 3.08349466 3.08612108 3.09111524 3.09482384 3.09483862 3.09675074 3.10016203 3.10425758 3.10971928 3.11085939 3.11411595 3.1161046 3.11861014 3.11979246 3.12402892 3.12950039 3.13277912 3.13385415 3.13717937 3.14159226 ------------------------------ Transdef: Tab for variable 11 3.57627869E-05 0.0013630772 0.0161437392 0.0313104987 0.0374310315 0.0445866659 0.0632309914 0.0763510466 0.0918526649 0.101170361 0.113768697 0.123539202 0.137210131 0.137224674 0.147345006 0.154163361 0.16221115 0.173022747 0.179588079 0.187295318 0.203385949 0.208353281 0.213449121 0.217443705 0.228672013 0.240166962 0.244734287 0.252589107 0.260753989 0.267051339 0.267837286 0.268699855 0.275975943 0.283763289 0.293783188 0.303135157 0.311336577 0.315229893 0.319836974 0.327652216 0.339364767 0.340013981 0.348830938 0.358305812 0.364856094 0.370649815 0.376327634 0.382546484 0.386789203 0.390279591 0.398930281 0.405961514 0.413069487 0.417948484 0.422374964 0.426438808 0.427292824 0.431882024 0.435830593 0.43854472 0.444012433 0.450016141 0.455580831 0.460270345 0.462961912 0.469806701 0.475807428 0.486771047 0.492300659 0.492671698 0.500893593 0.509517252 0.511205077 0.51884675 0.524379253 0.530068159 0.534039736 0.534626603 0.543183446 0.545382261 0.555161774 0.566809356 0.578184247 0.589923501 0.60382688 0.61721164 0.633352101 0.635262966 0.645552278 0.658881783 0.667740345 0.676090837 0.703820825 0.71226716 0.712736487 0.729133189 0.755874872 0.765288591 0.802665472 0.863429487 1.11657131 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.200248539 0.229011357 0.245130986 0.324374378 0.337127149 0.349879891 0.360201359 0.40406841 0.410981774 0.416088492 0.419936776 0.420393884 0.424477279 0.428648353 0.431822538 0.435598552 0.438820839 0.442899108 0.449299991 0.453667283 0.456956059 0.457185328 0.460594893 0.464464903 0.468307137 0.47087431 0.471791148 0.47421211 0.478021085 0.483133644 0.487425059 0.491758436 0.496306211 0.500517845 0.500605464 0.504450738 0.50916791 0.515511155 0.517946005 0.51812309 0.519887745 0.523650646 0.526850224 0.531550825 0.535005927 0.539274096 0.54394722 0.548931241 0.54926008 0.552379608 0.55373323 0.558683276 0.559646428 0.564521194 0.568204999 0.570588708 0.577257037 0.579198122 0.58047986 0.58459866 0.589118481 0.593661189 0.598553419 0.604602337 0.60961616 0.613938212 0.620144546 0.620988786 0.629018545 0.634185553 0.640265226 0.646270633 0.650631547 0.659648061 0.664523244 0.67133224 0.675214291 0.682182848 0.685446978 0.690261662 0.697437882 0.702588677 0.709529638 0.714627802 0.717601359 0.729687572 0.746139646 0.748865128 0.759531975 0.769439638 0.771051049 0.771338284 0.771347404 0.791808307 0.812794387 0.842449427 0.859735429 0.892797172 0.920920193 1.13453126 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.2970085 21.7915249 21.8238544 22.6958733 23.0090599 23.3857784 23.7519665 23.7866402 24.3412361 24.7344761 24.956398 25.1605072 25.3781624 25.8084831 26.1398621 26.4949055 27.004158 27.369257 27.7890015 27.8610573 28.1200371 28.3948765 28.6445236 28.757988 28.8645916 29.1509247 29.2367592 29.463131 29.7929077 30.0524368 30.4429073 30.5590553 30.6972141 31.1477413 31.5437508 32.0537338 32.0893021 32.3111801 32.4874763 32.6821823 32.8951797 33.2611771 33.6107254 33.7354584 33.8063469 34.1453476 34.4982147 34.5474968 34.8327179 35.0599785 35.386116 35.5177422 35.9895325 36.0837326 36.2832146 36.5774994 36.9524994 37.2555161 37.271431 37.3075562 37.5743027 38.1506042 38.5042114 38.5526009 38.9253006 39.3149261 39.8043518 40.2389145 40.7459946 41.2735634 41.6856155 42.2654457 42.628006 42.7196503 43.2955627 43.7362823 44.1672668 44.8632278 45.4197998 45.9144592 46.3077393 47.0724564 47.0989151 48.0479126 48.8924904 49.6751709 50.8819237 51.6443939 52.8853226 54.8409348 55.2028618 55.9424477 57.7121849 58.9583397 59.0272331 61.8353004 65.8701553 69.4551392 75.7470551 114.577255 ------------------------------ Transdef: Tab for variable 14 10.023428 10.2643728 10.3376179 10.5338364 10.704483 10.9432049 11.2452984 11.3127441 11.4815855 11.4972868 11.7091694 11.7281876 11.7285557 11.7958031 11.9271212 12.2267284 12.3014278 12.5072079 12.6838284 12.6976147 13.0105515 13.1998806 13.3523684 13.4782658 13.4805012 13.5392609 13.6258926 13.7312479 13.9434624 14.13731 14.3398266 14.6028605 14.9405155 15.1376333 15.4050217 15.4054203 15.5789032 15.673317 15.9664698 16.1469517 16.2688446 16.3364906 16.4193459 16.5936356 16.746273 16.9334297 16.9549007 16.9715424 17.1860428 17.4413242 17.6660233 18.0890579 18.4139137 18.705101 19.0776443 19.2686348 19.5687656 19.8253365 20.0751419 20.4083176 20.5615864 20.5870476 20.7410965 20.7615891 21.0559387 21.3017616 21.5275764 21.8653488 21.9334106 22.1142883 22.3910484 22.6974792 23.1233673 23.3217316 23.7057304 24.0073566 24.3621216 24.785759 25.1807098 25.2718811 25.6737137 26.0813713 26.4340725 26.8516235 27.3806419 27.977932 28.6829128 29.4052048 30.0107155 30.8162594 32.0149307 32.9347458 33.9866104 34.1942596 35.2925377 36.0584564 37.1607742 40.2138481 40.9361725 47.6751099 63.7458496 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 37.5 13.6 12.5 2.0 21.7 35.7 24.3 30.6 -22.5 -3.3 10.3 12.9 10.2 2 37.5 100.0 52.2 31.5 10.4 54.9 94.1 58.6 84.1 -52.1 -24.0 -23.8 48.0 27.3 3 13.6 52.2 100.0 6.6 -4.0 21.9 54.7 39.6 64.0 -6.9 -24.4 -28.2 88.0 5.2 4 12.5 31.5 6.6 100.0 -1.6 12.5 33.9 28.5 38.5 -9.7 -26.9 -39.9 13.9 82.5 5 2.0 10.4 -4.0 -1.6 100.0 80.3 -18.9 40.4 47.6 34.7 1.0 10.3 -6.1 -0.1 6 21.7 54.9 21.9 12.5 80.3 100.0 30.1 67.2 76.8 4.4 -10.6 -1.9 18.0 11.1 7 35.7 94.1 54.7 33.9 -18.9 30.1 100.0 51.1 69.4 -59.0 -24.8 -27.7 51.3 29.1 8 24.3 58.6 39.6 28.5 40.4 67.2 51.1 100.0 73.0 -4.9 -19.6 -21.2 37.6 24.6 9 30.6 84.1 64.0 38.5 47.6 76.8 69.4 73.0 100.0 -17.2 -25.4 -25.7 58.5 33.4 10 -22.5 -52.1 -6.9 -9.7 34.7 4.4 -59.0 -4.9 -17.2 100.0 11.8 11.0 -5.4 -8.8 11 -3.3 -24.0 -24.4 -26.9 1.0 -10.6 -24.8 -19.6 -25.4 11.8 100.0 56.6 -22.9 -28.1 12 10.3 -23.8 -28.2 -39.9 10.3 -1.9 -27.7 -21.2 -25.7 11.0 56.6 100.0 -27.8 -31.4 13 12.9 48.0 88.0 13.9 -6.1 18.0 51.3 37.6 58.5 -5.4 -22.9 -27.8 100.0 24.7 14 10.2 27.3 5.2 82.5 -0.1 11.1 29.1 24.6 33.4 -8.8 -28.1 -31.4 24.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 76.9788368 TOTAL CORRELATION OF ALL VARIABLES 45.598299 ROUND 1: MAX CORR ( 45.5834702) AFTER KILLING INPUT VARIABLE 13 CONTR 1.16280548 ROUND 2: MAX CORR ( 45.5720563) AFTER KILLING INPUT VARIABLE 4 CONTR 1.02001733 ROUND 3: MAX CORR ( 45.5590067) AFTER KILLING INPUT VARIABLE 7 CONTR 1.09051657 ROUND 4: MAX CORR ( 45.5516546) AFTER KILLING INPUT VARIABLE 2 CONTR 0.818444314 ROUND 5: MAX CORR ( 45.4925463) AFTER KILLING INPUT VARIABLE 10 CONTR 2.31979916 ROUND 6: MAX CORR ( 45.4057752) AFTER KILLING INPUT VARIABLE 6 CONTR 2.80844186 ROUND 7: MAX CORR ( 45.2439684) AFTER KILLING INPUT VARIABLE 8 CONTR 3.82984973 ROUND 8: MAX CORR ( 44.8732133) AFTER KILLING INPUT VARIABLE 14 CONTR 5.78026014 ROUND 9: MAX CORR ( 44.3845011) AFTER KILLING INPUT VARIABLE 11 CONTR 6.6046447 ROUND 10: MAX CORR ( 41.0937192) AFTER KILLING INPUT VARIABLE 3 CONTR 16.7717076 ROUND 11: MAX CORR ( 35.9161268) AFTER KILLING INPUT VARIABLE 5 CONTR 19.9681145 ROUND 12: MAX CORR ( 30.6006764) AFTER KILLING INPUT VARIABLE 12 CONTR 18.8033711 LAST REMAINING VARIABLE: 9 total correlation to target: 45.598299 % total significance: 20.7964875 sigma correlations of single variables to target: variable 2: 37.5334909 % , in sigma: 17.1182872 variable 3: 13.641661 % , in sigma: 6.22169332 variable 4: 12.4879193 % , in sigma: 5.69549445 variable 5: 2.00671044 % , in sigma: 0.915221175 variable 6: 21.7254028 % , in sigma: 9.90852901 variable 7: 35.7288495 % , in sigma: 16.2952257 variable 8: 24.3160112 % , in sigma: 11.0900546 variable 9: 30.6006764 % , in sigma: 13.9563668 variable 10: -22.4935055 % , in sigma: 10.2588456 variable 11: -3.30869632 % , in sigma: 1.50903133 variable 12: 10.3224524 % , in sigma: 4.70786756 variable 13: 12.9489885 % , in sigma: 5.90577902 variable 14: 10.1764555 % , in sigma: 4.64128125 variables sorted by significance: 1 most relevant variable 9 corr 30.6006756 , in sigma: 13.9563664 2 most relevant variable 12 corr 18.8033714 , in sigma: 8.57584797 3 most relevant variable 5 corr 19.9681149 , in sigma: 9.10706454 4 most relevant variable 3 corr 16.7717075 , in sigma: 7.64924602 5 most relevant variable 11 corr 6.60464478 , in sigma: 3.01224861 6 most relevant variable 14 corr 5.78026009 , in sigma: 2.63626296 7 most relevant variable 8 corr 3.82984972 , in sigma: 1.74671915 8 most relevant variable 6 corr 2.80844188 , in sigma: 1.28087512 9 most relevant variable 10 corr 2.31979918 , in sigma: 1.05801479 10 most relevant variable 2 corr 0.818444312 , in sigma: 0.373276357 11 most relevant variable 7 corr 1.09051657 , in sigma: 0.497363163 12 most relevant variable 4 corr 1.02001739 , in sigma: 0.465209872 13 most relevant variable 13 corr 1.16280544 , in sigma: 0.530332695 global correlations between input variables: variable 2: 99.119531 % variable 3: 95.6004643 % variable 4: 90.4487591 % variable 5: 96.1061396 % variable 6: 94.2030012 % variable 7: 98.8377687 % variable 8: 82.6149761 % variable 9: 98.8050237 % variable 10: 73.9689786 % variable 11: 60.2086354 % variable 12: 65.696226 % variable 13: 91.8354385 % variable 14: 88.0013894 % significance loss when removing single variables: variable 2: corr = 1.58168611 % , sigma = 0.721375932 variable 3: corr = 7.2248244 % , sigma = 3.29510034 variable 4: corr = 1.34184555 % , sigma = 0.611989369 variable 5: corr = 10.1496077 % , sigma = 4.62903648 variable 6: corr = 2.34778097 % , sigma = 1.07077674 variable 7: corr = 1.20139259 % , sigma = 0.547931537 variable 8: corr = 3.43688908 % , sigma = 1.56749753 variable 9: corr = 8.21934241 % , sigma = 3.74868045 variable 10: corr = 1.99084468 % , sigma = 0.90798511 variable 11: corr = 6.73791403 % , sigma = 3.0730301 variable 12: corr = 21.0762482 % , sigma = 9.61246239 variable 13: corr = 1.16280548 % , sigma = 0.530332714 variable 14: corr = 3.25064035 % , sigma = 1.48255314 Keep only 4 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 5 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 8.46653366 sigma out 15 active outputs RANK 2 NODE 2 --> 8.36487865 sigma out 15 active outputs RANK 3 NODE 1 --> 6.10466385 sigma out 15 active outputs RANK 4 NODE 4 --> 5.52963018 sigma out 15 active outputs RANK 5 NODE 5 --> 5.47511911 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 6.2628355 sigma in 5act. ( 7.55272865 sig out 1act.) RANK 2 NODE 15 --> 5.98699856 sigma in 5act. ( 6.86663246 sig out 1act.) RANK 3 NODE 7 --> 5.91149712 sigma in 5act. ( 7.89454126 sig out 1act.) RANK 4 NODE 8 --> 5.70485592 sigma in 5act. ( 5.20473242 sig out 1act.) RANK 5 NODE 10 --> 4.63682795 sigma in 5act. ( 6.23713303 sig out 1act.) RANK 6 NODE 5 --> 4.35559654 sigma in 5act. ( 4.86632347 sig out 1act.) RANK 7 NODE 12 --> 3.65893745 sigma in 5act. ( 3.9647851 sig out 1act.) RANK 8 NODE 1 --> 3.34837484 sigma in 5act. ( 3.82117748 sig out 1act.) RANK 9 NODE 2 --> 2.75358248 sigma in 5act. ( 3.53796434 sig out 1act.) RANK 10 NODE 3 --> 2.57377172 sigma in 5act. ( 3.18083096 sig out 1act.) RANK 11 NODE 13 --> 2.28225136 sigma in 5act. ( 2.64395833 sig out 1act.) RANK 12 NODE 9 --> 2.18919516 sigma in 5act. ( 2.19405437 sig out 1act.) RANK 13 NODE 6 --> 2.13370466 sigma in 5act. ( 2.53875995 sig out 1act.) RANK 14 NODE 11 --> 1.52974617 sigma in 5act. ( 1.64869261 sig out 1act.) RANK 15 NODE 14 --> 0.862662017 sigma in 5act. ( 0.611244917 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 7.89454126 sigma out 1act.( 5.91149712 sig in 5act.) RANK 2 NODE 4 --> 7.55272865 sigma out 1act.( 6.2628355 sig in 5act.) RANK 3 NODE 15 --> 6.86663246 sigma out 1act.( 5.98699856 sig in 5act.) RANK 4 NODE 10 --> 6.23713303 sigma out 1act.( 4.63682795 sig in 5act.) RANK 5 NODE 8 --> 5.20473242 sigma out 1act.( 5.70485592 sig in 5act.) RANK 6 NODE 5 --> 4.86632347 sigma out 1act.( 4.35559654 sig in 5act.) RANK 7 NODE 12 --> 3.9647851 sigma out 1act.( 3.65893745 sig in 5act.) RANK 8 NODE 1 --> 3.82117748 sigma out 1act.( 3.34837484 sig in 5act.) RANK 9 NODE 2 --> 3.53796434 sigma out 1act.( 2.75358248 sig in 5act.) RANK 10 NODE 3 --> 3.18083096 sigma out 1act.( 2.57377172 sig in 5act.) RANK 11 NODE 13 --> 2.64395833 sigma out 1act.( 2.28225136 sig in 5act.) RANK 12 NODE 6 --> 2.53875995 sigma out 1act.( 2.13370466 sig in 5act.) RANK 13 NODE 9 --> 2.19405437 sigma out 1act.( 2.18919516 sig in 5act.) RANK 14 NODE 11 --> 1.64869261 sigma out 1act.( 1.52974617 sig in 5act.) RANK 15 NODE 14 --> 0.611244917 sigma out 1act.( 0.862662017 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 18.1793175 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 12.9994774 sigma out 15 active outputs RANK 2 NODE 1 --> 9.4572649 sigma out 15 active outputs RANK 3 NODE 3 --> 8.38762569 sigma out 15 active outputs RANK 4 NODE 5 --> 7.34530067 sigma out 15 active outputs RANK 5 NODE 4 --> 6.5732336 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 8.11374283 sigma in 5act. ( 8.29729271 sig out 1act.) RANK 2 NODE 8 --> 6.72656584 sigma in 5act. ( 5.34639359 sig out 1act.) RANK 3 NODE 7 --> 6.45953846 sigma in 5act. ( 6.14006138 sig out 1act.) RANK 4 NODE 3 --> 6.09918833 sigma in 5act. ( 4.14703083 sig out 1act.) RANK 5 NODE 5 --> 5.9649086 sigma in 5act. ( 6.08937931 sig out 1act.) RANK 6 NODE 4 --> 5.67710161 sigma in 5act. ( 5.68099451 sig out 1act.) RANK 7 NODE 12 --> 5.4821806 sigma in 5act. ( 4.27312899 sig out 1act.) RANK 8 NODE 1 --> 5.10616064 sigma in 5act. ( 3.03761435 sig out 1act.) RANK 9 NODE 13 --> 4.79689837 sigma in 5act. ( 2.89205527 sig out 1act.) RANK 10 NODE 6 --> 4.68750143 sigma in 5act. ( 4.88412189 sig out 1act.) RANK 11 NODE 10 --> 4.51846552 sigma in 5act. ( 4.18728828 sig out 1act.) RANK 12 NODE 9 --> 4.10565853 sigma in 5act. ( 2.11961985 sig out 1act.) RANK 13 NODE 14 --> 3.61386323 sigma in 5act. ( 1.62621629 sig out 1act.) RANK 14 NODE 11 --> 3.535882 sigma in 5act. ( 1.77723432 sig out 1act.) RANK 15 NODE 2 --> 2.04425502 sigma in 5act. ( 2.19401836 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 8.29729271 sigma out 1act.( 8.11374283 sig in 5act.) RANK 2 NODE 7 --> 6.14006138 sigma out 1act.( 6.45953846 sig in 5act.) RANK 3 NODE 5 --> 6.08937931 sigma out 1act.( 5.9649086 sig in 5act.) RANK 4 NODE 4 --> 5.68099451 sigma out 1act.( 5.67710161 sig in 5act.) RANK 5 NODE 8 --> 5.34639359 sigma out 1act.( 6.72656584 sig in 5act.) RANK 6 NODE 6 --> 4.88412189 sigma out 1act.( 4.68750143 sig in 5act.) RANK 7 NODE 12 --> 4.27312899 sigma out 1act.( 5.4821806 sig in 5act.) RANK 8 NODE 10 --> 4.18728828 sigma out 1act.( 4.51846552 sig in 5act.) RANK 9 NODE 3 --> 4.14703083 sigma out 1act.( 6.09918833 sig in 5act.) RANK 10 NODE 1 --> 3.03761435 sigma out 1act.( 5.10616064 sig in 5act.) RANK 11 NODE 13 --> 2.89205527 sigma out 1act.( 4.79689837 sig in 5act.) RANK 12 NODE 2 --> 2.19401836 sigma out 1act.( 2.04425502 sig in 5act.) RANK 13 NODE 9 --> 2.11961985 sigma out 1act.( 4.10565853 sig in 5act.) RANK 14 NODE 11 --> 1.77723432 sigma out 1act.( 3.535882 sig in 5act.) RANK 15 NODE 14 --> 1.62621629 sigma out 1act.( 3.61386323 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.7208862 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.40807879 *** contribution from regularisation: 0.0248487554 *** contribution from error: -0.432927549 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.472549111 *** contribution from regularisation: 0.0154223749 *** contribution from error: -0.487971485 *********************************************** -----------------> Test sample ENTER BFGS code START -2720.09562 0.311173707 -0.181947097 EXIT FROM BFGS code FG_START 0. 0.311173707 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.486092478 *** contribution from regularisation: 0.00913225766 *** contribution from error: -0.495224744 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -2797.46228 0.311173707 3.61525512 EXIT FROM BFGS code FG_LNSRCH 0. 0.343212456 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.484512061 *** contribution from regularisation: 0.0134328492 *** contribution from error: -0.497944921 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2788.36694 0.343212456 -3.36406493 EXIT FROM BFGS code FG_LNSRCH 0. 0.32476759 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.489274383 *** contribution from regularisation: 0.0128643019 *** contribution from error: -0.502138674 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2815.77402 0.32476759 -0.790030599 EXIT FROM BFGS code NEW_X -2815.77402 0.32476759 -0.790030599 ENTER BFGS code NEW_X -2815.77402 0.32476759 -0.790030599 EXIT FROM BFGS code FG_LNSRCH 0. 0.323534817 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.49004969 *** contribution from regularisation: 0.0124989329 *** contribution from error: -0.502548635 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2820.23592 0.323534817 -1.87849867 EXIT FROM BFGS code NEW_X -2820.23592 0.323534817 -1.87849867 ENTER BFGS code NEW_X -2820.23592 0.323534817 -1.87849867 EXIT FROM BFGS code FG_LNSRCH 0. 0.285946578 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.489990026 *** contribution from regularisation: 0.0089458935 *** contribution from error: -0.498935908 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2819.89259 0.285946578 -5.71359491 EXIT FROM BFGS code FG_LNSRCH 0. 0.311284691 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.483955592 *** contribution from regularisation: 0.0185492598 *** contribution from error: -0.502504826 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2785.1644 0.311284691 -3.34959531 EXIT FROM BFGS code FG_LNSRCH 0. 0.322805792 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.490298808 *** contribution from regularisation: 0.012287247 *** contribution from error: -0.502586067 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2821.66957 0.322805792 -2.03144503 EXIT FROM BFGS code FG_LNSRCH 0. 0.32262677 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 8.2148962 sigma out 15 active outputs RANK 2 NODE 1 --> 6.66051435 sigma out 15 active outputs RANK 3 NODE 3 --> 5.18789768 sigma out 15 active outputs RANK 4 NODE 5 --> 5.02579403 sigma out 15 active outputs RANK 5 NODE 4 --> 3.87349939 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 4.68483639 sigma in 5act. ( 3.47267175 sig out 1act.) RANK 2 NODE 15 --> 4.45667648 sigma in 5act. ( 3.51704597 sig out 1act.) RANK 3 NODE 8 --> 4.33198881 sigma in 5act. ( 3.64061403 sig out 1act.) RANK 4 NODE 5 --> 3.96678805 sigma in 5act. ( 3.75158501 sig out 1act.) RANK 5 NODE 12 --> 3.94126892 sigma in 5act. ( 2.72122002 sig out 1act.) RANK 6 NODE 6 --> 3.61375999 sigma in 5act. ( 3.49394631 sig out 1act.) RANK 7 NODE 13 --> 3.5277915 sigma in 5act. ( 1.93596888 sig out 1act.) RANK 8 NODE 1 --> 3.37761641 sigma in 5act. ( 1.58076239 sig out 1act.) RANK 9 NODE 9 --> 3.29295087 sigma in 5act. ( 2.23696685 sig out 1act.) RANK 10 NODE 7 --> 3.18550777 sigma in 5act. ( 2.22441816 sig out 1act.) RANK 11 NODE 14 --> 3.17127442 sigma in 5act. ( 2.13610578 sig out 1act.) RANK 12 NODE 11 --> 2.66792822 sigma in 5act. ( 1.48972976 sig out 1act.) RANK 13 NODE 4 --> 2.37190437 sigma in 5act. ( 1.2047931 sig out 1act.) RANK 14 NODE 10 --> 2.2265439 sigma in 5act. ( 0.532536387 sig out 1act.) RANK 15 NODE 2 --> 1.23165321 sigma in 5act. ( 1.06197023 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 3.75158501 sigma out 1act.( 3.96678805 sig in 5act.) RANK 2 NODE 8 --> 3.64061403 sigma out 1act.( 4.33198881 sig in 5act.) RANK 3 NODE 15 --> 3.51704597 sigma out 1act.( 4.45667648 sig in 5act.) RANK 4 NODE 6 --> 3.49394631 sigma out 1act.( 3.61375999 sig in 5act.) RANK 5 NODE 3 --> 3.47267175 sigma out 1act.( 4.68483639 sig in 5act.) RANK 6 NODE 12 --> 2.72122002 sigma out 1act.( 3.94126892 sig in 5act.) RANK 7 NODE 9 --> 2.23696685 sigma out 1act.( 3.29295087 sig in 5act.) RANK 8 NODE 7 --> 2.22441816 sigma out 1act.( 3.18550777 sig in 5act.) RANK 9 NODE 14 --> 2.13610578 sigma out 1act.( 3.17127442 sig in 5act.) RANK 10 NODE 13 --> 1.93596888 sigma out 1act.( 3.5277915 sig in 5act.) RANK 11 NODE 1 --> 1.58076239 sigma out 1act.( 3.37761641 sig in 5act.) RANK 12 NODE 11 --> 1.48972976 sigma out 1act.( 2.66792822 sig in 5act.) RANK 13 NODE 4 --> 1.2047931 sigma out 1act.( 2.37190437 sig in 5act.) RANK 14 NODE 2 --> 1.06197023 sigma out 1act.( 1.23165321 sig in 5act.) RANK 15 NODE 10 --> 0.532536387 sigma out 1act.( 2.2265439 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 9.85972595 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.489263922 *** contribution from regularisation: 0.0133298431 *** contribution from error: -0.502593756 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -2815.71388 0.32262677 -1.75545216 EXIT FROM BFGS code FG_LNSRCH 0. 0.322804689 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.49108088 *** contribution from regularisation: 0.0115052145 *** contribution from error: -0.502586067 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2826.17046 0.322804689 -2.01599145 EXIT FROM BFGS code FG_LNSRCH 0. 0.322804064 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.488927484 *** contribution from regularisation: 0.0136586512 *** contribution from error: -0.502586126 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2813.77762 0.322804064 -1.89260244 EXIT FROM BFGS code FG_LNSRCH 0. 0.322804689 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.489956021 *** contribution from regularisation: 0.0126300575 *** contribution from error: -0.502586067 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2819.69699 0.322804689 -1.80111849 EXIT FROM BFGS code NEW_X -2819.69699 0.322804689 -1.80111849 ENTER BFGS code NEW_X -2819.69699 0.322804689 -1.80111849 EXIT FROM BFGS code CONVERGENC -2819.69699 0.322804689 -1.80111849 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 10.1748285 sigma out 15 active outputs RANK 2 NODE 1 --> 9.02535629 sigma out 15 active outputs RANK 3 NODE 5 --> 7.146626 sigma out 15 active outputs RANK 4 NODE 3 --> 6.94028759 sigma out 15 active outputs RANK 5 NODE 4 --> 4.62879038 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 6.37525129 sigma in 5act. ( 5.41933155 sig out 1act.) RANK 2 NODE 8 --> 5.80560827 sigma in 5act. ( 5.68118858 sig out 1act.) RANK 3 NODE 5 --> 5.73357582 sigma in 5act. ( 5.75483513 sig out 1act.) RANK 4 NODE 6 --> 5.60717535 sigma in 5act. ( 5.1463418 sig out 1act.) RANK 5 NODE 12 --> 5.4061985 sigma in 5act. ( 4.54402447 sig out 1act.) RANK 6 NODE 15 --> 5.35752487 sigma in 5act. ( 5.69295645 sig out 1act.) RANK 7 NODE 13 --> 4.44468355 sigma in 5act. ( 3.06819439 sig out 1act.) RANK 8 NODE 9 --> 4.34867668 sigma in 5act. ( 3.42823434 sig out 1act.) RANK 9 NODE 14 --> 4.05806589 sigma in 5act. ( 3.42907262 sig out 1act.) RANK 10 NODE 7 --> 3.92284322 sigma in 5act. ( 3.57518435 sig out 1act.) RANK 11 NODE 1 --> 3.91797185 sigma in 5act. ( 2.51654601 sig out 1act.) RANK 12 NODE 11 --> 3.14126968 sigma in 5act. ( 2.25059533 sig out 1act.) RANK 13 NODE 4 --> 2.58426046 sigma in 5act. ( 1.8879838 sig out 1act.) RANK 14 NODE 10 --> 2.14714599 sigma in 5act. ( 0.832027435 sig out 1act.) RANK 15 NODE 2 --> 1.42441344 sigma in 5act. ( 1.3777225 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 5.75483513 sigma out 1act.( 5.73357582 sig in 5act.) RANK 2 NODE 15 --> 5.69295645 sigma out 1act.( 5.35752487 sig in 5act.) RANK 3 NODE 8 --> 5.68118858 sigma out 1act.( 5.80560827 sig in 5act.) RANK 4 NODE 3 --> 5.41933155 sigma out 1act.( 6.37525129 sig in 5act.) RANK 5 NODE 6 --> 5.1463418 sigma out 1act.( 5.60717535 sig in 5act.) RANK 6 NODE 12 --> 4.54402447 sigma out 1act.( 5.4061985 sig in 5act.) RANK 7 NODE 7 --> 3.57518435 sigma out 1act.( 3.92284322 sig in 5act.) RANK 8 NODE 14 --> 3.42907262 sigma out 1act.( 4.05806589 sig in 5act.) RANK 9 NODE 9 --> 3.42823434 sigma out 1act.( 4.34867668 sig in 5act.) RANK 10 NODE 13 --> 3.06819439 sigma out 1act.( 4.44468355 sig in 5act.) RANK 11 NODE 1 --> 2.51654601 sigma out 1act.( 3.91797185 sig in 5act.) RANK 12 NODE 11 --> 2.25059533 sigma out 1act.( 3.14126968 sig in 5act.) RANK 13 NODE 4 --> 1.8879838 sigma out 1act.( 2.58426046 sig in 5act.) RANK 14 NODE 2 --> 1.3777225 sigma out 1act.( 1.42441344 sig in 5act.) RANK 15 NODE 10 --> 0.832027435 sigma out 1act.( 2.14714599 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 15.4131794 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.490565538 *** contribution from regularisation: 0.0120205414 *** contribution from error: -0.502586067 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23090 Closing output file done