NNInput NNInputs_110.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= 45942 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 = 9739 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 9739 Chosen entries: 9739 Signal fraction: 1 Background fraction: 0.269011 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 9739 Entries to split: 9739 Test with : 4869 Train with : 4869 ********************************************* * 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= 9739 for Signal Prepared event 0 for Signal with 9739 events ====Entry 0 Variable Ht : 138.449 Variable LepAPt : 29.2565 Variable LepBPt : 23.4278 Variable MetSigLeptonsJets : 4.0997 Variable MetSpec : 40.5616 Variable SumEtLeptonsJets : 97.887 Variable VSumJetLeptonsPt : 48.0185 Variable addEt : 93.2459 Variable dPhiLepSumMet : 2.22898 Variable dPhiLeptons : 0.472376 Variable dRLeptons : 0.612615 Variable lep1_E : 41.6651 Variable lep2_E : 45.4382 ===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 = 2110 Ht = 138.449 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 29.2565 LepAPt = 29.2565 LepBEt = 23.4278 LepBPt = 23.4278 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 40.5616 MetDelPhi = 1.95076 MetSig = 2.79538 MetSigLeptonsJets = 4.0997 MetSpec = 40.5616 Mjj = 0 MostCentralJetEta = 0.951215 MtllMet = 107.669 Njets = 1 SB = 0 SumEt = 210.546 SumEtJets = 0 SumEtLeptonsJets = 97.887 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 48.0185 addEt = 93.2459 dPhiLepSumMet = 2.22898 dPhiLeptons = 0.472376 dRLeptons = 0.612615 diltype = 46 dimass = 15.9919 event = 106 jet1_Et = 45.2027 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 41.6651 lep2_E = 45.4382 rand = 0.999742 run = 229664 weight = 4.31974e-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= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===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 = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.32432 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 875 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 45942 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 875 negative weights. Signal fraction: 62.1014404 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.3054924 62.2619629 64.037674 65.3936539 66.4878998 67.5505371 68.4784088 69.2857895 70.1617432 70.8247375 71.4373932 72.0737991 72.8094635 73.3412628 73.8769073 74.3210526 74.8870544 75.3746033 75.813324 76.3104401 76.8423767 77.4172134 77.8905029 78.3768005 78.736145 79.1930695 79.584877 80.0068817 80.4732666 81.0159149 81.5575104 82.035141 82.4990845 83.0400391 83.7438965 84.4666824 85.1893768 85.7394638 86.4167023 87.1069107 87.9533386 88.6141052 89.4968719 90.3929672 91.09375 92.1210632 92.9292374 93.7772217 94.5811615 95.5080109 96.2190628 96.9784393 97.8001556 98.5396271 99.5479889 100.29715 101.12561 101.924713 102.86882 103.815842 104.657677 105.588272 106.589584 107.546524 108.678848 109.844254 110.756866 112.012123 113.286301 114.686005 116.612442 118.063141 119.987976 121.887543 123.783012 125.361794 127.267853 129.266739 131.078186 133.259445 135.530823 137.689529 140.280014 143.051514 145.597504 148.371979 151.240891 154.374619 157.962616 161.577667 166.18634 170.841125 175.577332 181.285828 188.34436 198.256165 208.662201 222.027435 244.43576 280.964844 708.24054 ------------------------------ Transdef: Tab for variable 3 20.0007801 20.2395592 20.4591103 20.6708717 20.8602943 21.1101761 21.3424263 21.523632 21.7155571 21.8699017 22.04245 22.2138672 22.3632736 22.5277634 22.7577629 22.9954128 23.1643238 23.3312912 23.4979782 23.6551018 23.8097801 23.9683266 24.1207924 24.2993832 24.4840202 24.6260681 24.7835159 24.9505539 25.0999794 25.3192368 25.4889526 25.6152439 25.7381859 25.9012699 26.0713768 26.2408905 26.4125137 26.6242332 26.7902832 27.0132484 27.1823444 27.39011 27.6225433 27.8482475 28.0514984 28.2015076 28.3953094 28.5738335 28.7660275 28.9944458 29.2114086 29.4170437 29.6580772 29.8452492 30.0862389 30.303997 30.5750542 30.8229713 31.0468178 31.368679 31.6032257 31.857769 32.1061096 32.3957748 32.6792183 32.9817963 33.2487335 33.5476837 33.8989906 34.2199402 34.5411186 34.8781738 35.1830788 35.5152435 35.8348083 36.1183395 36.4859238 36.9114151 37.4335251 37.8087196 38.3297348 38.7256927 39.2009354 39.7620697 40.3731232 40.9441833 41.6123581 42.2834244 43.0293083 43.9430618 44.794075 46.0861664 47.3321228 49.0594063 50.6851006 52.8838043 55.7141113 59.2602768 64.2848969 73.8568878 154.851242 ------------------------------ Transdef: Tab for variable 4 10.0011425 10.0771952 10.1313457 10.2013588 10.2708721 10.3423538 10.3968201 10.4564762 10.5282001 10.6076622 10.6716385 10.7424316 10.8127909 10.8779974 10.9710312 11.0330734 11.0990334 11.1739931 11.2466898 11.3305893 11.3821945 11.4509382 11.5088215 11.5903425 11.6812782 11.7562771 11.8237286 11.9251394 12.008707 12.0876961 12.1856279 12.2784939 12.3655815 12.4788914 12.5754271 12.6735306 12.7677822 12.8474464 12.9458656 13.0221605 13.0995235 13.186471 13.2994328 13.4101877 13.5053024 13.586688 13.6824045 13.7930717 13.890234 13.9896355 14.0785894 14.1867886 14.2799931 14.3850203 14.4842739 14.5759068 14.6923552 14.8099174 14.9217358 15.0680084 15.1926651 15.315136 15.4479294 15.5697117 15.6958942 15.8249035 15.9536428 16.1143951 16.2506981 16.4082241 16.5730019 16.7090378 16.8631172 17.0612164 17.2272758 17.4354248 17.6295319 17.8263664 17.9983273 18.2041054 18.4039421 18.6271172 18.8825626 19.1054077 19.3209839 19.5876617 19.8706188 20.1853828 20.4701233 20.853611 21.2378197 21.6684475 22.1466579 22.720583 23.3314266 23.9608688 24.9149723 26.4973278 28.3786964 31.9665394 67.7828445 ------------------------------ Transdef: Tab for variable 5 1.38345242 2.65182948 2.92503929 3.15244722 3.3465786 3.53081179 3.69713163 3.82475424 3.94791794 4.05937147 4.13065386 4.21662569 4.28300095 4.35868549 4.43014336 4.49501514 4.56605434 4.6456461 4.72565937 4.78025436 4.83747387 4.89039135 4.9515996 5.01064777 5.06693411 5.11687851 5.16743517 5.21685696 5.26681519 5.32063007 5.36938858 5.40508938 5.45317745 5.486866 5.52267218 5.56933212 5.60802841 5.64950371 5.68661118 5.7281847 5.77052784 5.79883289 5.83434868 5.87361336 5.91031218 5.94328785 5.97701359 6.00395584 6.03994751 6.07115364 6.10811138 6.14637184 6.18771648 6.21760082 6.25594521 6.29287815 6.32616711 6.35181189 6.37984562 6.41498184 6.44953537 6.47980499 6.51297235 6.55613232 6.59479427 6.63118553 6.67239046 6.70254469 6.73512459 6.7756319 6.81822586 6.84791183 6.88235044 6.91802692 6.96593571 6.99983072 7.04492474 7.08942795 7.13177538 7.17419624 7.21895218 7.271245 7.31865644 7.37979221 7.43381071 7.49176264 7.54802704 7.62320137 7.68555164 7.76211643 7.84320641 7.9437151 8.04641724 8.15523911 8.31719303 8.44884109 8.59298992 8.7941761 9.09985542 9.75257969 20.1744061 ------------------------------ Transdef: Tab for variable 6 25.000145 25.6587753 26.2764626 26.9174843 27.59729 28.0634384 28.7268143 29.2495327 29.7415466 30.2496948 30.685051 31.1942978 31.568676 31.8772411 32.2536659 32.6365433 32.924099 33.2960091 33.6021957 33.9107361 34.2584381 34.573288 34.8540993 35.2352562 35.5165863 35.8186607 36.1208687 36.424263 36.6322021 36.898613 37.1565437 37.359993 37.6043587 37.8816566 38.1026535 38.4485779 38.7416153 39.0058212 39.2858353 39.4796829 39.7804756 40.0366554 40.3567886 40.5538025 40.8536911 41.1062431 41.4267921 41.7292023 42.0095215 42.2353134 42.5031815 42.8031082 43.0349388 43.3184662 43.5907211 43.8420715 44.1498413 44.4375801 44.770092 45.1054459 45.4866638 45.8227577 46.2146606 46.6027679 46.923378 47.2991333 47.7443695 48.1201096 48.5507507 48.9136734 49.3121681 49.8026505 50.1950874 50.5517807 50.908802 51.3245964 51.7983856 52.2561798 52.7733688 53.2686501 53.8075638 54.2555122 54.8995285 55.4773903 56.1896019 56.8946571 57.5872192 58.3386688 59.5015144 60.4792404 61.6169281 62.8628883 64.5190887 66.0974579 68.0868225 70.864296 73.6947327 77.0478821 81.802063 92.4293976 170.073746 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.2089767 32.9338989 33.6653137 34.1903954 34.7472992 35.1134491 35.4352379 35.7543488 36.1177139 36.4049072 36.714325 36.9831772 37.2841072 37.5513763 37.7272301 38.0325928 38.1996231 38.3787651 38.6413422 38.8093872 39.009697 39.2606277 39.442276 39.6465302 39.9666023 40.261528 40.4782791 40.7609444 41.0692253 41.3301544 41.5635872 41.8126297 42.030838 42.332428 42.6667442 43.009201 43.3633995 43.8007584 44.3283691 44.715004 45.0756149 45.4866104 45.9255524 46.354454 46.8848763 47.4299622 47.9241791 48.4259033 48.8340073 49.235836 49.7550087 50.3819847 50.9438858 51.4393501 52.0677719 52.7385101 53.412529 54.1136475 54.8651123 55.5580063 56.4060135 57.2436218 58.0714645 59.2102318 60.156044 61.5035629 62.9674416 64.1774368 65.8129425 67.0560074 68.4176483 70.0419617 71.5325623 73.0031891 74.763031 76.6726837 78.0713043 79.9035568 81.8963013 83.2996826 84.9348984 87.3438568 89.7599716 91.7370529 94.5537415 97.2608337 100.762642 103.891281 106.728439 110.725601 114.702499 119.871979 125.194702 131.564438 137.906769 146.702682 157.645523 173.84613 202.457916 511.516205 ------------------------------ Transdef: Tab for variable 8 0.678276479 22.892189 26.7449951 29.0541096 30.4306297 31.262207 31.7851105 32.3214035 32.7746201 33.2459335 33.6052628 33.8787613 34.1923256 34.5188446 34.7511444 35.0238724 35.2392235 35.4584846 35.7784653 35.990715 36.2231102 36.4808235 36.6507988 36.917923 37.0798645 37.2894897 37.4977608 37.6392975 37.8187866 37.9669113 38.1620903 38.3576965 38.5435257 38.7485237 38.9381104 39.1750488 39.4261856 39.6844406 39.8679161 40.1059799 40.2769775 40.5257874 40.7516556 41.0112114 41.3085861 41.4932709 41.7060165 41.9121246 42.2240753 42.547554 42.8169746 43.0836563 43.3999481 43.6662827 43.9727402 44.2844849 44.6497345 45.0156403 45.3598709 45.6134567 46.0021744 46.452343 46.7611504 47.0902252 47.4405746 47.8061142 48.1784096 48.5042725 48.9406319 49.3185349 49.6597366 50.0888367 50.4453583 50.923584 51.3152542 51.7302399 52.2183914 52.8379974 53.3144913 53.7889252 54.3702164 54.9921837 55.7431946 56.404953 57.1895447 58.0232849 59.0176506 60.0976791 61.2036514 62.4900436 63.8321037 65.3729095 67.0193024 69.0241165 71.4744644 74.413559 77.2644653 81.502121 88.6669693 100.778717 269.465973 ------------------------------ Transdef: Tab for variable 9 55.3054924 62.1156654 63.6634483 64.9139404 65.9815979 66.9927826 67.7445221 68.5706711 69.3158875 70.1104736 70.6488953 71.2157593 71.7212677 72.2995758 72.9391022 73.4033813 73.848465 74.2471771 74.7612152 75.2094421 75.5679169 75.9934845 76.4100494 76.8683395 77.4096222 77.7892914 78.1527863 78.5239334 78.9317169 79.2857971 79.5892563 79.9561768 80.3202744 80.7560959 81.2095184 81.654541 82.0900116 82.4513092 82.8855896 83.4524231 83.8864288 84.3107605 84.9608612 85.384201 85.9708405 86.4594421 86.9124451 87.4558105 88.0586319 88.5899963 89.1974945 89.7935791 90.3937302 90.9462814 91.6232452 92.261528 92.9020996 93.4920197 94.1644974 94.724617 95.3642578 95.9731445 96.542778 97.1007996 97.7670441 98.4132843 99.0576782 99.6236572 100.267639 100.795242 101.419495 101.994476 102.736221 103.369034 103.99855 104.58786 105.182419 105.875336 106.700432 107.416504 108.268097 108.978821 109.851273 110.623528 111.347542 112.429543 113.404816 114.56839 115.670921 117.077736 118.621773 120.125473 122.140968 124.808769 127.695412 131.907715 137.401337 144.030121 154.723923 171.352936 353.916199 ------------------------------ Transdef: Tab for variable 10 0.000599204504 0.985992074 1.23584318 1.38487113 1.53986597 1.67411923 1.77664208 1.8499589 1.92122734 1.99649644 2.05814505 2.12054586 2.17055893 2.2147131 2.26038909 2.30182695 2.3438158 2.38699293 2.4274826 2.46191311 2.48982787 2.52068424 2.55152798 2.58087468 2.60350609 2.63028812 2.6532445 2.68383908 2.70400047 2.72355413 2.73967695 2.75507522 2.77140713 2.7898283 2.8060658 2.81779289 2.82992387 2.84443045 2.85886478 2.86963177 2.88217616 2.89183998 2.90162992 2.91206264 2.92086411 2.92961311 2.93737483 2.94450665 2.95118523 2.95906162 2.96604967 2.97293711 2.97801685 2.98396349 2.98888969 2.99320126 2.99826765 3.00425339 3.00822377 3.01269674 3.01770496 3.02180696 3.02521229 3.02921438 3.03333259 3.0366981 3.04048705 3.04367256 3.04713869 3.05104876 3.05497217 3.05814981 3.06125975 3.0643158 3.06741238 3.07076168 3.07387877 3.07632923 3.07942343 3.08262825 3.08514786 3.08787346 3.0915134 3.09432268 3.09704161 3.09977508 3.10202074 3.10458755 3.10775399 3.11122179 3.11461568 3.11735678 3.12015867 3.12227106 3.12487841 3.12776375 3.13048983 3.13297415 3.13550711 3.13836622 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.91926956E-05 0.00798082165 0.0140132904 0.0211219229 0.0285320394 0.0353989527 0.0450873896 0.0520187318 0.0605552122 0.0700925589 0.0792877376 0.0866566896 0.0956712961 0.104354635 0.113297939 0.121669531 0.13094759 0.138680458 0.147607565 0.157019526 0.163703382 0.172305703 0.178423613 0.18695274 0.194024682 0.198822767 0.204407573 0.209508926 0.215022206 0.220566511 0.227262855 0.23329033 0.240114331 0.246425092 0.251680017 0.25673008 0.262134314 0.269352078 0.275272429 0.282174587 0.288506925 0.294826746 0.300239444 0.30611515 0.311629653 0.317787737 0.322885096 0.327957153 0.336362243 0.342654705 0.349665284 0.35400489 0.361041903 0.36726135 0.373282671 0.381147891 0.387769103 0.395149231 0.401993632 0.408435345 0.415149838 0.421878248 0.429599345 0.435826063 0.441408992 0.449962258 0.455879062 0.461858928 0.468753517 0.47456488 0.482245028 0.489598036 0.497561276 0.504782677 0.510654926 0.517668247 0.525287151 0.533262789 0.542616844 0.551721454 0.559890628 0.569141507 0.577345729 0.586035371 0.594898582 0.604339361 0.613896847 0.623948812 0.635695696 0.64869684 0.66002667 0.671012342 0.681935728 0.696262479 0.713624895 0.73156935 0.755779862 0.782474637 0.818174481 0.879326105 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.200196758 0.214618951 0.22711277 0.236135513 0.246874765 0.255912483 0.263460994 0.272664607 0.282071948 0.292035162 0.299915045 0.308749497 0.317207515 0.324161947 0.330991447 0.340605468 0.349252105 0.358095586 0.36451602 0.370893836 0.377745211 0.385112882 0.393991888 0.399336517 0.405466795 0.411282957 0.416096509 0.420979381 0.426492214 0.43158403 0.435676098 0.440863788 0.445794046 0.450810164 0.455835402 0.461032301 0.465289921 0.470151663 0.474011511 0.478695542 0.483079672 0.487125158 0.491256505 0.496322393 0.501001358 0.505666494 0.510030508 0.514353216 0.518392205 0.522548199 0.526191771 0.530151427 0.53548193 0.540729761 0.544628739 0.548676372 0.553509235 0.558421731 0.563365459 0.568176866 0.572730064 0.577382445 0.581955433 0.587352455 0.592438459 0.596668899 0.60250926 0.60710007 0.611952066 0.617929995 0.625377178 0.631917298 0.636866808 0.643492579 0.649510622 0.655604482 0.661903262 0.667554498 0.673261523 0.678475857 0.683251262 0.691123724 0.697975218 0.704188347 0.71269089 0.72121942 0.729929328 0.739870608 0.749303937 0.757170975 0.769981503 0.780297637 0.791746616 0.802440524 0.81587714 0.829741836 0.844725847 0.863342285 0.890678465 0.936441183 1.14129901 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.2544289 22.0372162 22.7661991 23.2439499 23.6804161 24.2475357 24.7761192 25.2178841 25.5912399 25.9359665 26.3450947 26.6724358 27.0407448 27.3520317 27.7222748 28.086401 28.4922543 28.8873177 29.2598686 29.5783691 29.9301071 30.1894855 30.5054626 30.8160782 31.0696526 31.4280891 31.7823715 32.1059685 32.428833 32.7816086 33.0147629 33.3434944 33.678688 34.0178909 34.3867645 34.7061958 35.037796 35.4424095 35.8181534 36.1395874 36.4230766 36.7309952 37.0675354 37.509697 37.9407692 38.31633 38.6963539 39.0492096 39.4681549 39.9369278 40.4251404 40.7944107 41.3029633 41.8873024 42.4288788 42.9106674 43.4161377 43.8975983 44.4837189 45.0197792 45.4199753 46.0778809 46.6743011 47.2264557 48.0939331 48.7294769 49.4491997 50.0127792 50.7021255 51.5627213 52.3913956 53.3229446 54.1263275 54.9648666 55.7988892 56.6839218 57.9044571 58.9157867 60.1400032 61.1878281 62.2103806 63.1142082 64.9616394 66.5306549 67.8125153 69.4204025 71.0854645 72.9902802 74.5671005 76.6266479 78.4018402 81.0267029 83.6097565 86.1290283 89.2055511 93.6442566 98.2650681 104.486877 116.389854 216.87648 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.4724112 10.7289124 10.9546566 11.1805573 11.3773289 11.5448227 11.7003899 11.908205 12.1263943 12.3314075 12.4867725 12.6537266 12.8221111 12.9514885 13.1206884 13.2887306 13.4672127 13.6028938 13.7557182 13.9492912 14.1002254 14.2523489 14.4199905 14.5614023 14.7204618 14.867341 14.9888096 15.1619358 15.2931414 15.4282198 15.5896511 15.7119942 15.8804817 16.0625648 16.2239723 16.4221783 16.6081982 16.8133755 16.9697533 17.2290764 17.3991375 17.6152859 17.7674179 17.9198265 18.1243172 18.3245945 18.5381489 18.7631989 18.9678879 19.1649132 19.3903999 19.6029663 19.8259544 20.049181 20.3079395 20.5137444 20.7876434 21.0305691 21.3354988 21.6042099 21.9000893 22.2023964 22.5052338 22.839592 23.1562443 23.5458679 23.8460083 24.1681747 24.5392303 24.9851151 25.4296989 25.8241692 26.2803631 26.8391075 27.2414894 27.6082764 28.0973186 28.80616 29.3740425 29.9668999 30.5875187 31.2685604 32.0365753 32.7951508 33.5391464 34.4334526 35.3626022 36.2987213 37.2674713 38.0693817 39.0634003 40.4615784 42.1005783 43.7209702 45.4945679 48.3371048 51.2080688 55.5686226 61.9435654 107.416672 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 57.5 43.3 18.2 8.6 38.6 53.8 39.4 55.3 -32.1 -3.0 -5.4 3.4 -19.0 2 57.5 100.0 62.8 37.2 6.9 59.2 93.5 58.8 90.0 -55.8 -14.8 -26.2 23.4 0.3 3 43.3 62.8 100.0 13.6 -14.6 23.4 67.7 45.0 69.5 -23.3 -13.8 -29.9 55.8 -6.3 4 18.2 37.2 13.6 100.0 -7.7 13.5 39.9 24.9 40.8 -13.4 -16.6 -30.9 1.9 55.9 5 8.6 6.9 -14.6 -7.7 100.0 75.8 -20.7 34.6 33.7 32.3 4.0 5.5 -18.2 -12.7 6 38.6 59.2 23.4 13.5 75.8 100.0 35.9 64.5 74.2 -8.3 -4.2 -9.5 -0.3 -9.2 7 53.8 93.5 67.7 39.9 -20.7 35.9 100.0 55.2 78.0 -60.4 -14.0 -26.2 30.3 6.0 8 39.4 58.8 45.0 24.9 34.6 64.5 55.2 100.0 70.5 -12.3 -12.1 -19.5 17.5 0.5 9 55.3 90.0 69.5 40.8 33.7 74.2 78.0 70.5 100.0 -31.6 -15.4 -30.5 27.6 2.7 10 -32.1 -55.8 -23.3 -13.4 32.3 -8.3 -60.4 -12.3 -31.6 100.0 6.1 8.2 -7.5 2.1 11 -3.0 -14.8 -13.8 -16.6 4.0 -4.2 -14.0 -12.1 -15.4 6.1 100.0 57.2 3.6 2.3 12 -5.4 -26.2 -29.9 -30.9 5.5 -9.5 -26.2 -19.5 -30.5 8.2 57.2 100.0 -3.4 -2.1 13 3.4 23.4 55.8 1.9 -18.2 -0.3 30.3 17.5 27.6 -7.5 3.6 -3.4 100.0 44.8 14 -19.0 0.3 -6.3 55.9 -12.7 -9.2 6.0 0.5 2.7 2.1 2.3 -2.1 44.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 126.56569 TOTAL CORRELATION OF ALL VARIABLES 64.6872621 ROUND 1: MAX CORR ( 64.6863251) AFTER KILLING INPUT VARIABLE 11 CONTR 0.348168139 ROUND 2: MAX CORR ( 64.6851751) AFTER KILLING INPUT VARIABLE 9 CONTR 0.385724716 ROUND 3: MAX CORR ( 64.6642571) AFTER KILLING INPUT VARIABLE 7 CONTR 1.64491111 ROUND 4: MAX CORR ( 64.6530851) AFTER KILLING INPUT VARIABLE 5 CONTR 1.20196769 ROUND 5: MAX CORR ( 64.5759645) AFTER KILLING INPUT VARIABLE 8 CONTR 3.15693297 ROUND 6: MAX CORR ( 64.4645995) AFTER KILLING INPUT VARIABLE 13 CONTR 3.79085809 ROUND 7: MAX CORR ( 64.241824) AFTER KILLING INPUT VARIABLE 10 CONTR 5.3546834 ROUND 8: MAX CORR ( 63.9544389) AFTER KILLING INPUT VARIABLE 6 CONTR 6.06973586 ROUND 9: MAX CORR ( 62.8169367) AFTER KILLING INPUT VARIABLE 3 CONTR 12.008444 ROUND 10: MAX CORR ( 61.4665907) AFTER KILLING INPUT VARIABLE 12 CONTR 12.9547582 ROUND 11: MAX CORR ( 60.6207858) AFTER KILLING INPUT VARIABLE 4 CONTR 10.1617963 ROUND 12: MAX CORR ( 57.5057276) AFTER KILLING INPUT VARIABLE 14 CONTR 19.1825693 LAST REMAINING VARIABLE: 2 total correlation to target: 64.6872621 % total significance: 57.3485367 sigma correlations of single variables to target: variable 2: 57.5057276 % , in sigma: 50.9817423 variable 3: 43.3000343 % , in sigma: 38.3876752 variable 4: 18.2063994 % , in sigma: 16.1408959 variable 5: 8.5857969 % , in sigma: 7.61174414 variable 6: 38.5565091 % , in sigma: 34.1822996 variable 7: 53.8116962 % , in sigma: 47.7067962 variable 8: 39.3765614 % , in sigma: 34.9093175 variable 9: 55.3145898 % , in sigma: 49.0391876 variable 10: -32.0518232 % , in sigma: 28.4155658 variable 11: -2.99618512 % , in sigma: 2.65626998 variable 12: -5.43941219 % , in sigma: 4.82231461 variable 13: 3.42940793 % , in sigma: 3.04034395 variable 14: -19.0188902 % , in sigma: 16.8612101 variables sorted by significance: 1 most relevant variable 2 corr 57.5057259 , in sigma: 50.9817408 2 most relevant variable 14 corr 19.1825695 , in sigma: 17.0063202 3 most relevant variable 4 corr 10.1617966 , in sigma: 9.00894773 4 most relevant variable 12 corr 12.9547586 , in sigma: 11.4850502 5 most relevant variable 3 corr 12.0084438 , in sigma: 10.6460941 6 most relevant variable 6 corr 6.069736 , in sigma: 5.38112862 7 most relevant variable 10 corr 5.3546834 , in sigma: 4.74719825 8 most relevant variable 13 corr 3.79085803 , in sigma: 3.36078779 9 most relevant variable 8 corr 3.15693307 , in sigma: 2.79878118 10 most relevant variable 5 corr 1.20196772 , in sigma: 1.0656053 11 most relevant variable 7 corr 1.64491105 , in sigma: 1.45829702 12 most relevant variable 9 corr 0.385724723 , in sigma: 0.341964518 13 most relevant variable 11 corr 0.348168135 , in sigma: 0.308668699 global correlations between input variables: variable 2: 98.9190898 % variable 3: 93.5777267 % variable 4: 86.7577003 % variable 5: 94.482091 % variable 6: 94.0580584 % variable 7: 98.2984822 % variable 8: 82.1589375 % variable 9: 98.6091736 % variable 10: 73.2324057 % variable 11: 58.0743484 % variable 12: 65.3099041 % variable 13: 84.5873821 % variable 14: 85.2446337 % significance loss when removing single variables: variable 2: corr = 3.57349978 % , sigma = 3.16808869 variable 3: corr = 8.70494186 % , sigma = 7.71737219 variable 4: corr = 9.89775817 % , sigma = 8.77486431 variable 5: corr = 1.79732705 % , sigma = 1.59342153 variable 6: corr = 2.28747386 % , sigma = 2.02796152 variable 7: corr = 1.47335695 % , sigma = 1.30620562 variable 8: corr = 2.07186612 % , sigma = 1.83681434 variable 9: corr = 0.398786851 % , sigma = 0.353544757 variable 10: corr = 5.51882242 % , sigma = 4.89271581 variable 11: corr = 0.348168139 % , sigma = 0.308668702 variable 12: corr = 12.5486461 % , sigma = 11.1250108 variable 13: corr = 3.76395338 % , sigma = 3.33693546 variable 14: corr = 12.6077988 % , sigma = 11.1774527 Keep only 7 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 8 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 19.6652889 sigma out 15 active outputs RANK 2 NODE 5 --> 14.8270464 sigma out 15 active outputs RANK 3 NODE 7 --> 13.7515116 sigma out 15 active outputs RANK 4 NODE 1 --> 11.0627632 sigma out 15 active outputs RANK 5 NODE 3 --> 10.8976583 sigma out 15 active outputs RANK 6 NODE 4 --> 8.77566719 sigma out 15 active outputs RANK 7 NODE 6 --> 8.23804569 sigma out 15 active outputs RANK 8 NODE 2 --> 6.75476217 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 21.6870632 sigma in 8act. ( 23.1495628 sig out 1act.) RANK 2 NODE 14 --> 18.510231 sigma in 8act. ( 20.6172981 sig out 1act.) RANK 3 NODE 4 --> 11.2709246 sigma in 8act. ( 13.0584288 sig out 1act.) RANK 4 NODE 8 --> 11.2212391 sigma in 8act. ( 10.8993883 sig out 1act.) RANK 5 NODE 11 --> 7.61574697 sigma in 8act. ( 7.24006939 sig out 1act.) RANK 6 NODE 5 --> 6.92358732 sigma in 8act. ( 7.12538671 sig out 1act.) RANK 7 NODE 13 --> 3.96937156 sigma in 8act. ( 3.336411 sig out 1act.) RANK 8 NODE 9 --> 2.90573215 sigma in 8act. ( 3.13072848 sig out 1act.) RANK 9 NODE 3 --> 2.75855041 sigma in 8act. ( 3.4388957 sig out 1act.) RANK 10 NODE 1 --> 2.427531 sigma in 8act. ( 1.73476613 sig out 1act.) RANK 11 NODE 12 --> 2.35367203 sigma in 8act. ( 2.13386011 sig out 1act.) RANK 12 NODE 15 --> 2.17131734 sigma in 8act. ( 2.0649817 sig out 1act.) RANK 13 NODE 7 --> 2.11887431 sigma in 8act. ( 1.0486865 sig out 1act.) RANK 14 NODE 2 --> 1.48314989 sigma in 8act. ( 0.697027624 sig out 1act.) RANK 15 NODE 10 --> 0.910392523 sigma in 8act. ( 0.62415868 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 23.1495628 sigma out 1act.( 21.6870632 sig in 8act.) RANK 2 NODE 14 --> 20.6172981 sigma out 1act.( 18.510231 sig in 8act.) RANK 3 NODE 4 --> 13.0584288 sigma out 1act.( 11.2709246 sig in 8act.) RANK 4 NODE 8 --> 10.8993883 sigma out 1act.( 11.2212391 sig in 8act.) RANK 5 NODE 11 --> 7.24006939 sigma out 1act.( 7.61574697 sig in 8act.) RANK 6 NODE 5 --> 7.12538671 sigma out 1act.( 6.92358732 sig in 8act.) RANK 7 NODE 3 --> 3.4388957 sigma out 1act.( 2.75855041 sig in 8act.) RANK 8 NODE 13 --> 3.336411 sigma out 1act.( 3.96937156 sig in 8act.) RANK 9 NODE 9 --> 3.13072848 sigma out 1act.( 2.90573215 sig in 8act.) RANK 10 NODE 12 --> 2.13386011 sigma out 1act.( 2.35367203 sig in 8act.) RANK 11 NODE 15 --> 2.0649817 sigma out 1act.( 2.17131734 sig in 8act.) RANK 12 NODE 1 --> 1.73476613 sigma out 1act.( 2.427531 sig in 8act.) RANK 13 NODE 7 --> 1.0486865 sigma out 1act.( 2.11887431 sig in 8act.) RANK 14 NODE 2 --> 0.697027624 sigma out 1act.( 1.48314989 sig in 8act.) RANK 15 NODE 10 --> 0.62415868 sigma out 1act.( 0.910392523 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 37.4171791 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 19.3726463 sigma out 15 active outputs RANK 2 NODE 5 --> 14.9509974 sigma out 15 active outputs RANK 3 NODE 7 --> 14.5484591 sigma out 15 active outputs RANK 4 NODE 6 --> 12.1356106 sigma out 15 active outputs RANK 5 NODE 1 --> 11.694211 sigma out 15 active outputs RANK 6 NODE 4 --> 11.0658808 sigma out 15 active outputs RANK 7 NODE 3 --> 10.9606447 sigma out 15 active outputs RANK 8 NODE 2 --> 9.10092831 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 20.5700665 sigma in 8act. ( 21.5637474 sig out 1act.) RANK 2 NODE 14 --> 18.1400547 sigma in 8act. ( 18.7632809 sig out 1act.) RANK 3 NODE 4 --> 10.8845291 sigma in 8act. ( 11.9515429 sig out 1act.) RANK 4 NODE 8 --> 10.6164474 sigma in 8act. ( 10.0666561 sig out 1act.) RANK 5 NODE 5 --> 8.13704014 sigma in 8act. ( 6.64997768 sig out 1act.) RANK 6 NODE 3 --> 7.85724068 sigma in 8act. ( 4.64288712 sig out 1act.) RANK 7 NODE 11 --> 7.64627123 sigma in 8act. ( 6.06775665 sig out 1act.) RANK 8 NODE 13 --> 7.26994658 sigma in 8act. ( 3.37446856 sig out 1act.) RANK 9 NODE 2 --> 7.02895689 sigma in 8act. ( 2.16836166 sig out 1act.) RANK 10 NODE 15 --> 6.05762863 sigma in 8act. ( 3.01339746 sig out 1act.) RANK 11 NODE 9 --> 5.38235664 sigma in 8act. ( 3.40840578 sig out 1act.) RANK 12 NODE 10 --> 5.33841085 sigma in 8act. ( 1.69301307 sig out 1act.) RANK 13 NODE 12 --> 4.51689863 sigma in 8act. ( 1.83347988 sig out 1act.) RANK 14 NODE 1 --> 4.32564831 sigma in 8act. ( 1.24003553 sig out 1act.) RANK 15 NODE 7 --> 3.82281232 sigma in 8act. ( 0.30744338 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 21.5637474 sigma out 1act.( 20.5700665 sig in 8act.) RANK 2 NODE 14 --> 18.7632809 sigma out 1act.( 18.1400547 sig in 8act.) RANK 3 NODE 4 --> 11.9515429 sigma out 1act.( 10.8845291 sig in 8act.) RANK 4 NODE 8 --> 10.0666561 sigma out 1act.( 10.6164474 sig in 8act.) RANK 5 NODE 5 --> 6.64997768 sigma out 1act.( 8.13704014 sig in 8act.) RANK 6 NODE 11 --> 6.06775665 sigma out 1act.( 7.64627123 sig in 8act.) RANK 7 NODE 3 --> 4.64288712 sigma out 1act.( 7.85724068 sig in 8act.) RANK 8 NODE 9 --> 3.40840578 sigma out 1act.( 5.38235664 sig in 8act.) RANK 9 NODE 13 --> 3.37446856 sigma out 1act.( 7.26994658 sig in 8act.) RANK 10 NODE 15 --> 3.01339746 sigma out 1act.( 6.05762863 sig in 8act.) RANK 11 NODE 2 --> 2.16836166 sigma out 1act.( 7.02895689 sig in 8act.) RANK 12 NODE 12 --> 1.83347988 sigma out 1act.( 4.51689863 sig in 8act.) RANK 13 NODE 10 --> 1.69301307 sigma out 1act.( 5.33841085 sig in 8act.) RANK 14 NODE 1 --> 1.24003553 sigma out 1act.( 4.32564831 sig in 8act.) RANK 15 NODE 7 --> 0.30744338 sigma out 1act.( 3.82281232 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 34.7631416 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.458259165 *** contribution from regularisation: 0.0107430751 *** contribution from error: -0.469002247 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.507190883 *** contribution from regularisation: 0.00548670301 *** contribution from error: -0.51267761 *********************************************** -----------------> Test sample ENTER BFGS code START -11652.9789 -0.633150101 0.0337005556 EXIT FROM BFGS code FG_START 0. -0.633150101 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.524192333 *** contribution from regularisation: 0.00486431411 *** contribution from error: -0.529056668 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12041.2221 -0.633150101 -0.927818894 EXIT FROM BFGS code FG_LNSRCH 0. -0.63426429 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.545622289 *** contribution from regularisation: 0.00654896302 *** contribution from error: -0.55217123 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12533.4903 -0.63426429 7.70529652 EXIT FROM BFGS code NEW_X -12533.4903 -0.63426429 7.70529652 ENTER BFGS code NEW_X -12533.4903 -0.63426429 7.70529652 EXIT FROM BFGS code FG_LNSRCH 0. -0.62740165 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.547687829 *** contribution from regularisation: 0.00678737601 *** contribution from error: -0.554475188 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12580.9367 -0.62740165 4.53106546 EXIT FROM BFGS code NEW_X -12580.9367 -0.62740165 4.53106546 ENTER BFGS code NEW_X -12580.9367 -0.62740165 4.53106546 EXIT FROM BFGS code FG_LNSRCH 0. -0.618809998 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.548226714 *** contribution from regularisation: 0.00691442331 *** contribution from error: -0.555141151 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12593.3157 -0.618809998 6.46237373 EXIT FROM BFGS code NEW_X -12593.3157 -0.618809998 6.46237373 ENTER BFGS code NEW_X -12593.3157 -0.618809998 6.46237373 EXIT FROM BFGS code FG_LNSRCH 0. -0.599586666 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.548324406 *** contribution from regularisation: 0.0069040386 *** contribution from error: -0.555228472 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12595.5595 -0.599586666 9.58039951 EXIT FROM BFGS code NEW_X -12595.5595 -0.599586666 9.58039951 ENTER BFGS code NEW_X -12595.5595 -0.599586666 9.58039951 EXIT FROM BFGS code FG_LNSRCH 0. -0.537189662 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.548825383 *** contribution from regularisation: 0.00628460757 *** contribution from error: -0.555109978 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12607.0682 -0.537189662 12.0771437 EXIT FROM BFGS code NEW_X -12607.0682 -0.537189662 12.0771437 ENTER BFGS code NEW_X -12607.0682 -0.537189662 12.0771437 EXIT FROM BFGS code FG_LNSRCH 0. -0.242804155 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.547566473 *** contribution from regularisation: 0.00440265005 *** contribution from error: -0.551969111 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12578.1498 -0.242804155 -18.5236053 EXIT FROM BFGS code FG_LNSRCH 0. -0.454631239 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 18.7630329 sigma out 15 active outputs RANK 2 NODE 1 --> 11.4107037 sigma out 15 active outputs RANK 3 NODE 8 --> 9.89459896 sigma out 15 active outputs RANK 4 NODE 4 --> 9.72570705 sigma out 15 active outputs RANK 5 NODE 5 --> 8.3177433 sigma out 15 active outputs RANK 6 NODE 2 --> 7.95918179 sigma out 15 active outputs RANK 7 NODE 3 --> 6.78170443 sigma out 15 active outputs RANK 8 NODE 7 --> 6.57622862 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 11.4742537 sigma in 8act. ( 7.84035587 sig out 1act.) RANK 2 NODE 6 --> 10.8414021 sigma in 8act. ( 8.4571476 sig out 1act.) RANK 3 NODE 3 --> 9.90090179 sigma in 8act. ( 6.16584969 sig out 1act.) RANK 4 NODE 14 --> 9.3427496 sigma in 8act. ( 6.81190157 sig out 1act.) RANK 5 NODE 8 --> 8.919137 sigma in 8act. ( 7.14251232 sig out 1act.) RANK 6 NODE 15 --> 8.39526844 sigma in 8act. ( 6.06721354 sig out 1act.) RANK 7 NODE 5 --> 8.33058739 sigma in 8act. ( 7.33058405 sig out 1act.) RANK 8 NODE 10 --> 6.95688581 sigma in 8act. ( 4.06162548 sig out 1act.) RANK 9 NODE 13 --> 6.72612238 sigma in 8act. ( 2.97237897 sig out 1act.) RANK 10 NODE 4 --> 6.44323397 sigma in 8act. ( 4.49386787 sig out 1act.) RANK 11 NODE 9 --> 5.75740004 sigma in 8act. ( 3.27627444 sig out 1act.) RANK 12 NODE 11 --> 5.52754974 sigma in 8act. ( 3.8122611 sig out 1act.) RANK 13 NODE 1 --> 4.17678499 sigma in 8act. ( 1.99574959 sig out 1act.) RANK 14 NODE 12 --> 3.88336825 sigma in 8act. ( 1.50860143 sig out 1act.) RANK 15 NODE 7 --> 3.34641743 sigma in 8act. ( 0.76701206 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 8.4571476 sigma out 1act.( 10.8414021 sig in 8act.) RANK 2 NODE 2 --> 7.84035587 sigma out 1act.( 11.4742537 sig in 8act.) RANK 3 NODE 5 --> 7.33058405 sigma out 1act.( 8.33058739 sig in 8act.) RANK 4 NODE 8 --> 7.14251232 sigma out 1act.( 8.919137 sig in 8act.) RANK 5 NODE 14 --> 6.81190157 sigma out 1act.( 9.3427496 sig in 8act.) RANK 6 NODE 3 --> 6.16584969 sigma out 1act.( 9.90090179 sig in 8act.) RANK 7 NODE 15 --> 6.06721354 sigma out 1act.( 8.39526844 sig in 8act.) RANK 8 NODE 4 --> 4.49386787 sigma out 1act.( 6.44323397 sig in 8act.) RANK 9 NODE 10 --> 4.06162548 sigma out 1act.( 6.95688581 sig in 8act.) RANK 10 NODE 11 --> 3.8122611 sigma out 1act.( 5.52754974 sig in 8act.) RANK 11 NODE 9 --> 3.27627444 sigma out 1act.( 5.75740004 sig in 8act.) RANK 12 NODE 13 --> 2.97237897 sigma out 1act.( 6.72612238 sig in 8act.) RANK 13 NODE 1 --> 1.99574959 sigma out 1act.( 4.17678499 sig in 8act.) RANK 14 NODE 12 --> 1.50860143 sigma out 1act.( 3.88336825 sig in 8act.) RANK 15 NODE 7 --> 0.76701206 sigma out 1act.( 3.34641743 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 20.8954391 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.544302881 *** contribution from regularisation: 0.0105976164 *** contribution from error: -0.554900527 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -12503.1819 -0.454631239 8.43381786 EXIT FROM BFGS code FG_LNSRCH 0. -0.533896685 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.548432052 *** contribution from regularisation: 0.00667566666 *** contribution from error: -0.555107713 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12598.0328 -0.533896685 12.0433521 EXIT FROM BFGS code FG_LNSRCH 0. -0.537124872 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.547961652 *** contribution from regularisation: 0.00714832405 *** contribution from error: -0.555109978 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12587.2275 -0.537124872 11.741065 EXIT FROM BFGS code FG_LNSRCH 0. -0.537189662 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.548155785 *** contribution from regularisation: 0.00695421547 *** contribution from error: -0.555109978 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12591.6866 -0.537189662 11.8245363 EXIT FROM BFGS code FG_LNSRCH 0. -0.537189662 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.548082113 *** contribution from regularisation: 0.00702791568 *** contribution from error: -0.555110037 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12589.9937 -0.537189662 11.8034391 EXIT FROM BFGS code FG_LNSRCH 0. -0.537189662 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.548081398 *** contribution from regularisation: 0.00702860113 *** contribution from error: -0.555109978 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12589.9779 -0.537189662 11.7889919 EXIT FROM BFGS code FG_LNSRCH 0. -0.537189662 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.548148572 *** contribution from regularisation: 0.00696144067 *** contribution from error: -0.555110037 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12591.5207 -0.537189662 11.9102707 EXIT FROM BFGS code NEW_X -12591.5207 -0.537189662 11.9102707 ENTER BFGS code NEW_X -12591.5207 -0.537189662 11.9102707 EXIT FROM BFGS code CONVERGENC -12591.5207 -0.537189662 11.9102707 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 24.6367912 sigma out 15 active outputs RANK 2 NODE 8 --> 15.2599478 sigma out 15 active outputs RANK 3 NODE 1 --> 15.2534409 sigma out 15 active outputs RANK 4 NODE 5 --> 13.7233973 sigma out 15 active outputs RANK 5 NODE 4 --> 13.5573015 sigma out 15 active outputs RANK 6 NODE 2 --> 11.9296684 sigma out 15 active outputs RANK 7 NODE 7 --> 10.4274035 sigma out 15 active outputs RANK 8 NODE 3 --> 10.3910389 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 16.7013874 sigma in 8act. ( 12.5464344 sig out 1act.) RANK 2 NODE 6 --> 16.6950169 sigma in 8act. ( 16.5268879 sig out 1act.) RANK 3 NODE 3 --> 15.0648403 sigma in 8act. ( 10.9712992 sig out 1act.) RANK 4 NODE 14 --> 14.8382521 sigma in 8act. ( 13.3960772 sig out 1act.) RANK 5 NODE 8 --> 11.9167137 sigma in 8act. ( 11.0067797 sig out 1act.) RANK 6 NODE 15 --> 11.0877991 sigma in 8act. ( 9.37246513 sig out 1act.) RANK 7 NODE 5 --> 10.7000856 sigma in 8act. ( 12.1228418 sig out 1act.) RANK 8 NODE 10 --> 10.313653 sigma in 8act. ( 7.39771891 sig out 1act.) RANK 9 NODE 4 --> 9.4864521 sigma in 8act. ( 9.00790691 sig out 1act.) RANK 10 NODE 9 --> 8.05422401 sigma in 8act. ( 6.26636982 sig out 1act.) RANK 11 NODE 13 --> 7.57648039 sigma in 8act. ( 5.49838781 sig out 1act.) RANK 12 NODE 11 --> 7.53050947 sigma in 8act. ( 6.85301018 sig out 1act.) RANK 13 NODE 1 --> 4.31878376 sigma in 8act. ( 3.64341807 sig out 1act.) RANK 14 NODE 12 --> 4.13672543 sigma in 8act. ( 3.00013661 sig out 1act.) RANK 15 NODE 7 --> 2.8853457 sigma in 8act. ( 1.10543001 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 16.5268879 sigma out 1act.( 16.6950169 sig in 8act.) RANK 2 NODE 14 --> 13.3960772 sigma out 1act.( 14.8382521 sig in 8act.) RANK 3 NODE 2 --> 12.5464344 sigma out 1act.( 16.7013874 sig in 8act.) RANK 4 NODE 5 --> 12.1228418 sigma out 1act.( 10.7000856 sig in 8act.) RANK 5 NODE 8 --> 11.0067797 sigma out 1act.( 11.9167137 sig in 8act.) RANK 6 NODE 3 --> 10.9712992 sigma out 1act.( 15.0648403 sig in 8act.) RANK 7 NODE 15 --> 9.37246513 sigma out 1act.( 11.0877991 sig in 8act.) RANK 8 NODE 4 --> 9.00790691 sigma out 1act.( 9.4864521 sig in 8act.) RANK 9 NODE 10 --> 7.39771891 sigma out 1act.( 10.313653 sig in 8act.) RANK 10 NODE 11 --> 6.85301018 sigma out 1act.( 7.53050947 sig in 8act.) RANK 11 NODE 9 --> 6.26636982 sigma out 1act.( 8.05422401 sig in 8act.) RANK 12 NODE 13 --> 5.49838781 sigma out 1act.( 7.57648039 sig in 8act.) RANK 13 NODE 1 --> 3.64341807 sigma out 1act.( 4.31878376 sig in 8act.) RANK 14 NODE 12 --> 3.00013661 sigma out 1act.( 4.13672543 sig in 8act.) RANK 15 NODE 7 --> 1.10543001 sigma out 1act.( 2.8853457 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 36.9074554 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.547985971 *** contribution from regularisation: 0.00712401094 *** contribution from error: -0.555109978 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24530 Closing output file done