NNInput NNInputs_185.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= 15505 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 = 2674 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 2674 Chosen entries: 2674 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.208402 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 2674 Entries to split: 2674 Test with : 1337 Train with : 1337 ********************************************* * 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= 2674 for Signal Prepared event 0 for Signal with 2674 events ====Entry 0 Variable Ht : 260.31 Variable LepAPt : 42.5887 Variable LepBPt : 23.3748 Variable MetSigLeptonsJets : 9.84085 Variable MetSpec : 117.572 Variable SumEtLeptonsJets : 142.738 Variable VSumJetLeptonsPt : 96.3958 Variable addEt : 183.535 Variable dPhiLepSumMet : 2.11843 Variable dPhiLeptons : 0.0929198 Variable dRLeptons : 0.432325 Variable lep1_E : 56.914 Variable lep2_E : 43.0744 ===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 = 2185 Ht = 260.31 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 42.5889 LepAPt = 42.5887 LepBEt = 23.3748 LepBPt = 23.3748 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 117.572 MetDelPhi = 2.08551 MetSig = 7.54995 MetSigLeptonsJets = 9.84085 MetSpec = 117.572 Mjj = 0 MostCentralJetEta = 0.316218 MtllMet = 204.612 Njets = 1 SB = 0 SumEt = 242.503 SumEtJets = 0 SumEtLeptonsJets = 142.738 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 96.3958 addEt = 183.535 dPhiLepSumMet = 2.11843 dPhiLeptons = 0.0929198 dRLeptons = 0.432325 diltype = 97 dimass = 13.7384 event = 642 jet1_Et = 76.7744 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 56.914 lep2_E = 43.0744 rand = 0.999742 run = 231334 weight = 1.96868e-06 ===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= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===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 = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 1.50344 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 373 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 15505 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 373 negative weights. Signal fraction: 74.0739441 % ------------------------------ 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 56.7608147 62.7101555 67.3902969 69.855423 71.666687 72.3317261 75.0530548 76.0280457 77.0636749 77.2460251 79.1171417 80.4400024 81.0013199 81.5897064 83.4156876 84.6586761 85.2562561 86.0250473 86.5710754 87.0908966 88.3551636 89.5142517 92.4831085 93.1816177 93.6583023 94.606781 95.5038376 96.776474 98.3232269 99.0306931 99.7184296 100.499649 101.573502 102.403152 103.597809 104.372299 105.589905 106.620369 107.469574 108.130638 108.901047 110.927727 112.747429 113.386032 115.32811 116.706253 117.931526 118.809631 120.290054 121.662262 122.962883 124.234055 125.420029 127.292595 128.499603 129.938934 131.330719 132.356812 133.335297 133.696594 134.457321 136.037781 136.766663 138.63858 139.935226 140.99794 142.076843 143.637848 145.779694 146.813049 148.4095 149.65947 151.876846 153.096985 154.565033 155.997025 158.918396 159.819244 162.714584 165.728363 167.302063 168.908676 170.911041 174.203796 177.357513 180.737122 183.858521 187.363724 191.089966 194.345352 199.149338 204.064911 210.434906 214.454071 222.343994 230.360809 236.784515 250.13623 270.76532 297.689423 469.881409 ------------------------------ Transdef: Tab for variable 3 20.0013733 20.5615349 20.9848709 21.1768837 21.4655685 21.5444736 22.1621704 22.3885193 22.562603 22.7882042 23.0666542 23.3745613 23.6207981 23.837635 23.9984894 24.3863297 24.723175 24.880682 25.0635185 25.174509 25.257103 25.3228703 25.5647964 25.6541462 25.798996 26.0249805 26.304863 26.7130775 27.0191727 27.1474648 27.2230568 27.4158382 27.6488495 27.947113 28.1068001 28.5247307 28.6551094 28.9615211 29.0492668 29.2146492 29.3912621 29.6640205 29.8969479 30.1275806 30.3583221 30.4965782 30.7416382 30.958849 31.1943378 31.5009155 31.6793175 31.8220673 32.1027527 32.2668724 32.3695869 32.707756 32.7845116 33.1134109 33.4503555 33.7428207 33.8402328 34.0894318 34.1972275 34.5103302 34.7681122 35.1727142 35.2887535 35.4321671 35.740387 35.9408989 36.2907295 36.6158066 36.6734619 36.967247 37.2805748 37.5875854 37.9590912 38.3177757 39.0500565 39.5382919 40.0808716 40.4139557 40.9200821 41.2324066 41.6939392 42.4447021 42.8889694 43.6044617 44.2014313 45.0664978 46.0015259 47.0012665 47.6675034 48.4029274 49.4874039 51.4250488 53.7454948 55.6367188 59.6603622 62.794075 109.76886 ------------------------------ Transdef: Tab for variable 4 10.0041399 10.1658382 10.2885571 10.4089394 10.4501266 10.5030098 10.6041946 10.6626596 10.7859592 10.8700314 11.051096 11.1538696 11.2578812 11.4343519 11.5417852 11.6646862 11.8722029 11.9937944 12.0778799 12.2336597 12.3146553 12.4982834 12.7190084 12.8293152 12.9466505 13.3220463 13.5829659 13.6087303 13.6879797 13.8141813 13.9106045 14.1627464 14.3949089 14.6816912 14.7770233 15.0290565 15.2033634 15.2963676 15.6767693 15.6892414 15.818305 16.0708389 16.3265114 16.4980202 16.7050552 16.8391991 17.1841698 17.5309143 17.7036781 18.0231934 18.3757324 18.4938469 18.7974644 18.9533043 19.1440639 19.5034294 19.7738304 20.0761833 20.2482948 20.4256268 20.5706024 20.6675758 20.8360138 21.0691414 21.1706047 21.4119873 21.5388947 21.7033291 21.7923737 21.9784508 22.1061897 22.2460518 22.4386768 22.6746273 22.7583008 23.0042381 23.2503853 23.5499649 23.7802658 23.9813156 24.1416969 24.3532238 24.5075989 24.6813316 24.8857117 25.2837582 25.4499664 25.8211842 25.9627934 26.2544212 26.6854229 27.156435 27.6080322 28.0433731 28.5677834 29.2846527 30.1276245 30.6939945 32.0653229 33.4053574 38.0937576 ------------------------------ Transdef: Tab for variable 5 2.10590816 3.1355691 3.54593468 3.85452366 4.11993599 4.22341919 4.35525274 4.5252552 4.55712748 4.74504948 4.80068064 4.93275547 5.0114212 5.12400103 5.16735506 5.26469898 5.290658 5.37870216 5.44380569 5.53610277 5.58333683 5.6629982 5.74659348 5.8408227 5.90965176 5.9649744 6.00521851 6.06329632 6.13482285 6.20133018 6.28548813 6.37508297 6.45113564 6.58845329 6.63450861 6.66287708 6.69708252 6.73510265 6.76211262 6.80500984 6.83172703 6.89419174 6.93005085 6.97364616 7.01574326 7.0557909 7.09269667 7.14512444 7.16158867 7.20637226 7.22991085 7.2868948 7.3558054 7.40451717 7.4703598 7.5188818 7.532969 7.57880068 7.62581062 7.65966272 7.73360157 7.79959249 7.84964848 7.88694859 7.95101166 7.99574471 8.04005051 8.08599854 8.12631702 8.17138481 8.22671604 8.25381851 8.29569435 8.35031319 8.41698456 8.43792534 8.50244808 8.606987 8.68486977 8.75333786 8.79003716 8.88081264 8.95112228 9.00707722 9.07581329 9.12798691 9.23432827 9.33296013 9.40943527 9.51269341 9.61842155 9.80520248 9.95091343 10.0976553 10.2781067 10.5163364 10.8527803 11.2118797 11.6907978 12.590023 18.669714 ------------------------------ Transdef: Tab for variable 6 25.0099258 26.5905018 28.0280113 29.070343 30.3934212 30.7098503 31.1676102 32.1003647 32.8033905 34.06147 34.4416161 34.7355118 35.8330269 36.4965553 37.0972214 37.7600746 38.5039673 38.5856857 38.8830414 39.6471481 40.358429 40.8305588 41.2497826 42.0674438 42.3598862 42.845314 43.1447144 43.8359299 44.0251999 44.4518547 45.200119 45.4839249 46.039299 46.9956589 47.1487045 47.4063492 47.921524 48.8131638 49.3615723 49.8237114 50.1780014 50.4986649 50.9036446 51.5500641 52.2459526 53.0109825 53.4253464 54.1641808 54.363884 54.7471466 55.6638985 56.3040543 57.0064774 57.4320259 57.9661179 58.2223206 58.3882904 58.7864227 59.2499809 59.6001015 60.2535439 60.8611679 61.365242 62.2456474 63.3546524 63.8930855 64.4107666 65.3511658 66.0509491 66.7061462 67.3993378 68.3702698 69.4437408 70.4746094 71.1451263 71.7344513 72.8069153 74.021965 74.6985626 75.5103302 76.9230423 78.0787048 79.0436783 80.4049683 82.1604614 83.0773621 84.804985 85.769577 86.8917694 88.7581787 90.4584656 93.6874466 95.5640488 98.0547028 100.610535 103.127151 107.39772 112.980087 119.752403 130.608246 186.530289 ------------------------------ Transdef: Tab for variable 7 30.3086014 33.5777054 34.5153732 34.7466049 35.4063835 36.2591095 37.1684723 37.6546707 38.1898384 38.7700729 38.8507614 39.1590424 39.6173935 40.5966339 41.0965271 41.5691528 41.8734779 42.1673012 42.6303482 42.8857422 43.6619034 44.3139801 44.6006241 44.9039726 45.0207558 45.798172 46.4887085 47.3519287 48.3233719 48.7781296 49.3951035 49.7367096 50.6102142 51.0237961 52.2662239 52.9512329 53.7979507 54.4851112 55.2074356 56.0239258 56.7701263 57.4248123 58.3309021 58.9223366 59.2668915 60.1501122 61.016346 61.7141533 62.521225 62.8270569 63.4280319 64.060318 65.1252518 66.0823669 66.8115234 67.6496582 68.2423553 68.696991 69.5481415 70.3937683 70.968811 72.3473053 73.0657043 73.7486877 75.4037933 76.4311218 77.0889587 78.2295532 79.3530197 80.3568115 81.4474106 82.4768143 83.6001053 85.1028137 86.2521286 87.3296661 88.9179535 90.2509842 91.7084351 93.4112549 94.2409821 95.243927 96.6682281 98.8529282 100.385803 103.418457 105.920731 108.102211 110.262695 112.305298 115.125961 118.390869 120.105965 124.67131 129.247482 134.688843 140.253113 153.705597 163.098755 184.566345 280.95108 ------------------------------ Transdef: Tab for variable 8 5.60643721 26.2436218 28.5125961 31.3566647 32.4396591 33.4348679 33.8007545 34.1390915 34.6684837 35.4376106 35.5259438 35.9868584 36.9276962 37.3859062 37.8222084 38.1929092 38.55933 38.849411 39.1130371 39.4921722 39.7481842 39.8350258 40.5488968 41.0567856 41.3535728 41.6245232 41.8732109 42.526638 42.9480209 43.0840607 43.7267075 44.0121574 44.3441353 44.68367 44.9419022 45.3510056 45.8858337 46.3059692 46.7557831 47.3213043 48.1736984 48.6609993 48.7458191 48.8069458 49.2382355 49.5864868 50.0511017 50.1965942 50.8760109 51.3362122 51.7276306 52.5713768 53.060627 53.4497375 53.9535751 54.5625916 55.1805573 55.8265076 56.3902512 57.2828217 57.8982391 58.4676056 59.1139488 59.7905121 60.4420853 60.9669647 61.4358597 61.8813019 62.4439697 63.3737488 64.0010681 64.5186844 65.2607803 65.8102722 66.7032776 67.3056183 68.1983185 69.022522 70.1457062 70.8820496 72.1645279 72.7550659 74.0549164 74.421814 75.873703 77.6770325 78.997345 80.314888 81.4048462 83.3496704 85.0594711 87.3990784 90.5333252 93.5263367 97.3397522 101.714676 106.259773 110.449478 117.809334 137.177032 191.879532 ------------------------------ Transdef: Tab for variable 9 56.7608147 62.6927261 66.4152374 69.5354919 69.9402161 71.4251404 72.0114746 74.25354 75.5148697 75.9216309 77.0434418 77.1521072 78.3466949 79.7650757 80.5669403 81.008667 81.552948 83.1903992 84.225647 84.7588501 85.3267975 85.9602051 86.5710754 87.2907791 88.3178101 88.8975067 89.9555054 90.6584778 92.1370163 92.9340591 93.2106552 93.6125946 94.606781 95.4403534 95.9129486 96.4197998 97.3401947 98.3133392 98.7609406 99.61203 100.407104 101.111794 101.633537 102.474777 103.370605 103.934387 104.678574 105.520172 106.114082 107.487061 108.073395 109.427414 110.462364 111.643158 112.496735 113.136841 114.4291 114.899796 115.778679 116.611908 116.995026 117.77681 118.57193 119.724945 120.850838 122.126038 123.192665 124.392303 125.403473 126.536774 127.473862 128.875 129.800156 131.24968 132.180573 132.83754 134.197632 135.178284 136.378769 137.21698 139.14151 140.31781 141.266327 142.6008 144.089966 145.885254 147.772049 149.515503 151.461838 152.956589 154.607834 156.452545 158.356903 161.182587 163.304703 165.038879 168.190628 171.374725 181.261597 193.441284 282.530121 ------------------------------ Transdef: Tab for variable 10 0.219557673 1.00974226 1.29708672 1.51400316 1.67779517 1.78636551 1.93700624 2.01893497 2.07359648 2.13730383 2.19394779 2.26104116 2.30603933 2.35019231 2.38470554 2.44403505 2.47619081 2.51308393 2.54077339 2.55111408 2.56801367 2.58659816 2.61236572 2.63605785 2.65560889 2.67717052 2.69795942 2.71764779 2.7395277 2.75728965 2.78386569 2.79798412 2.81142998 2.8278904 2.83886862 2.845397 2.85165668 2.85347223 2.8634758 2.87611055 2.88025761 2.88588953 2.89694095 2.90125036 2.90993118 2.92035723 2.92605591 2.93119144 2.94110894 2.94673419 2.94964671 2.95224786 2.95816326 2.96389031 2.97409964 2.97918844 2.98276925 2.9881711 2.99206519 2.99623275 3.00383568 3.0124321 3.01371145 3.02138329 3.02816439 3.03392601 3.03789806 3.04259324 3.04696989 3.05254722 3.05531192 3.05851936 3.06322432 3.065938 3.0681181 3.07239532 3.07479143 3.0764389 3.07872033 3.08098269 3.08500004 3.08877516 3.09398842 3.09870815 3.10201311 3.10369039 3.10472393 3.11043072 3.11308312 3.11392832 3.11771154 3.12101793 3.12332344 3.12691498 3.12891364 3.13168287 3.13296056 3.13538694 3.13784337 3.13920212 3.14158416 ------------------------------ Transdef: Tab for variable 11 0.000663995743 0.00723695755 0.0112814745 0.0226568058 0.033184886 0.0445268117 0.0490347147 0.0613091886 0.069529511 0.077039361 0.0847646818 0.0978061855 0.111087561 0.123445034 0.132712796 0.140247822 0.152954757 0.160956591 0.17182827 0.17656976 0.189145342 0.195002675 0.204822958 0.213034511 0.222177625 0.230800629 0.234907925 0.244449496 0.254881442 0.264102697 0.268229485 0.275642574 0.28205204 0.292073011 0.300388396 0.307070851 0.32168752 0.328444123 0.332692027 0.337437212 0.341103792 0.345734835 0.348874331 0.354109585 0.359558344 0.361677647 0.365564048 0.3717314 0.373212337 0.375226498 0.377579331 0.380527735 0.386761904 0.390137792 0.395475626 0.399814844 0.404073715 0.407154024 0.410074234 0.413082719 0.418584824 0.422673583 0.425477505 0.428430438 0.433293521 0.437450051 0.439103961 0.441925853 0.446440399 0.450069308 0.45289728 0.459079742 0.464208126 0.470674455 0.475861549 0.483957171 0.494746447 0.50085485 0.510354578 0.515026569 0.519099236 0.526096106 0.53554821 0.548867106 0.551728725 0.562006354 0.573636055 0.583031178 0.599575281 0.60514164 0.610569239 0.631893277 0.639752746 0.650276423 0.657679379 0.68534106 0.697327852 0.752618134 0.782440305 0.820263386 1.06340075 ------------------------------ Transdef: Tab for variable 12 0.2193266 0.3996315 0.405380905 0.408371389 0.411041796 0.412880093 0.414976299 0.417705417 0.420513868 0.422825903 0.425611824 0.427290767 0.42888099 0.431088507 0.434113801 0.436557233 0.437527508 0.440014899 0.443773687 0.445409298 0.446803004 0.448951811 0.452607751 0.455790401 0.458428681 0.460774511 0.462305546 0.46596843 0.468582928 0.470524788 0.474291891 0.476219356 0.477925032 0.479280353 0.4828614 0.484673709 0.487457275 0.490165681 0.491436839 0.494777858 0.497370601 0.499889106 0.502542078 0.506682217 0.509357333 0.513143182 0.515549958 0.520381391 0.522328556 0.525637746 0.530510306 0.534930348 0.537655234 0.539583325 0.542828918 0.548085093 0.551877081 0.553579688 0.556951523 0.559186935 0.563601017 0.568337917 0.57239151 0.578377724 0.580633759 0.585234284 0.591477394 0.60197556 0.60547173 0.611878991 0.6165061 0.621388435 0.629567981 0.632567704 0.635318756 0.637949586 0.646114707 0.652336478 0.657755077 0.664956152 0.667291522 0.671878815 0.6782372 0.687831163 0.69230628 0.700627446 0.703089654 0.713229597 0.725666404 0.729515791 0.746910632 0.753902316 0.758238435 0.763467789 0.779243588 0.796464443 0.808273554 0.876684964 0.906737745 0.934346139 1.12655604 ------------------------------ Transdef: Tab for variable 13 20.1354504 22.1192017 22.8720741 23.2226887 23.8649483 24.5901299 25.2105255 25.5917187 25.9206352 26.3979549 26.8187046 27.1431046 27.6859035 28.0815239 28.4857292 28.852953 29.218399 29.5781975 29.991436 30.2629967 30.5147018 30.939806 31.1333923 31.5785255 31.8327045 32.3941689 32.7069855 33.0354881 33.1585808 33.6138382 33.9499664 34.417675 34.8609772 35.3059006 35.4194412 35.5952644 36.0125237 36.1736832 36.5439606 36.8283615 37.2127342 37.5741386 38.0719147 38.598362 39.0203476 39.3160858 39.4906273 39.8125229 40.1278877 40.6664581 41.1377716 41.4994202 42.0579529 42.7167053 43.0406685 43.4975128 43.9141541 44.4874077 44.9757462 45.4098778 45.8144073 46.3564835 46.5275803 47.106041 47.7883492 48.4237289 48.9804611 49.6160507 50.5515366 50.7486115 51.3362045 52.0400276 52.7916565 54.1105652 54.9506721 55.647934 56.2124481 56.9255753 57.6312256 58.5323105 58.8263245 59.764328 60.4387779 61.4607925 62.6372604 63.5324364 64.44133 65.5729218 66.7160416 67.3851776 69.6555939 71.71492 73.9560394 76.3394623 77.3986282 79.1004333 82.8482666 86.3920135 90.7701111 103.925415 194.379669 ------------------------------ Transdef: Tab for variable 14 10.0093269 10.5909042 10.8866205 11.1589603 11.3443604 11.9803782 12.1933155 12.317812 12.4743576 12.8371315 13.2320652 13.8085632 13.8839359 14.2021523 14.6708221 14.9733706 15.115387 15.6332607 15.9086113 16.1266174 16.4593353 16.5305805 16.7808342 16.9072552 17.2567196 17.6723309 17.7461128 18.0510197 18.2089119 18.5080147 18.7523499 18.7776928 18.9957142 19.2231712 19.4311295 19.7190208 19.9370975 20.1074448 20.4528465 20.7807064 21.0813351 21.5192299 21.6800823 21.8508511 22.1701698 22.3629684 22.5844765 22.7870655 23.0352058 23.252739 23.4717751 23.5941067 23.8829174 24.287075 24.5516281 24.6361351 24.8981609 25.0394211 25.402565 25.6514511 25.8941345 26.0852718 26.4031315 26.5356464 27.0135231 27.2486019 27.4909363 27.6931534 28.0611115 28.3135262 28.6128483 29.0415802 29.1810532 29.52742 29.6477642 29.9951839 30.5697918 30.9825058 31.5349293 31.9322701 32.3503799 32.6941681 33.08881 33.9231071 34.8091621 35.376503 35.8201294 36.7193222 37.161026 37.8048019 38.7423401 39.6703873 40.6173401 41.9474869 43.45298 44.2927475 46.7383881 49.8961754 53.2690659 60.8722229 82.892395 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 52.0 28.2 39.3 18.7 37.3 51.1 40.9 47.5 -27.2 -15.5 -27.3 12.3 35.2 2 52.0 100.0 48.4 41.9 44.8 77.6 93.4 79.0 89.2 -43.2 -19.0 -37.7 23.1 31.7 3 28.2 48.4 100.0 21.0 16.2 34.7 49.2 46.1 60.9 0.1 -25.1 -50.1 62.4 13.1 4 39.3 41.9 21.0 100.0 16.8 32.3 42.0 40.4 49.5 -3.8 -21.2 -56.6 10.1 79.0 5 18.7 44.8 16.2 16.8 100.0 85.7 12.9 57.4 70.7 20.8 -5.9 -16.3 -2.8 7.4 6 37.3 77.6 34.7 32.3 85.7 100.0 54.2 80.4 89.6 -7.0 -13.4 -29.6 9.9 20.8 7 51.1 93.4 49.2 42.0 12.9 54.2 100.0 69.8 73.2 -53.8 -20.8 -37.8 28.1 33.6 8 40.9 79.0 46.1 40.4 57.4 80.4 69.8 100.0 84.3 -11.6 -21.0 -40.3 24.2 30.3 9 47.5 89.2 60.9 49.5 70.7 89.6 73.2 84.3 100.0 -14.2 -21.6 -48.3 28.5 35.4 10 -27.2 -43.2 0.1 -3.8 20.8 -7.0 -53.8 -11.6 -14.2 100.0 -1.8 -4.4 2.7 -5.2 11 -15.5 -19.0 -25.1 -21.2 -5.9 -13.4 -20.8 -21.0 -21.6 -1.8 100.0 47.4 -23.5 -22.6 12 -27.3 -37.7 -50.1 -56.6 -16.3 -29.6 -37.8 -40.3 -48.3 -4.4 47.4 100.0 -32.3 -45.3 13 12.3 23.1 62.4 10.1 -2.8 9.9 28.1 24.2 28.5 2.7 -23.5 -32.3 100.0 33.4 14 35.2 31.7 13.1 79.0 7.4 20.8 33.6 30.3 35.4 -5.2 -22.6 -45.3 33.4 100.0 TOTAL CORRELATION TO TARGET (diagonal) 128.270785 TOTAL CORRELATION OF ALL VARIABLES 58.0228359 ROUND 1: MAX CORR ( 58.0224519) AFTER KILLING INPUT VARIABLE 8 CONTR 0.211102243 ROUND 2: MAX CORR ( 58.0195745) AFTER KILLING INPUT VARIABLE 6 CONTR 0.577846677 ROUND 3: MAX CORR ( 57.9443088) AFTER KILLING INPUT VARIABLE 11 CONTR 2.95433459 ROUND 4: MAX CORR ( 57.895399) AFTER KILLING INPUT VARIABLE 12 CONTR 2.38027371 ROUND 5: MAX CORR ( 57.8033688) AFTER KILLING INPUT VARIABLE 2 CONTR 3.26309359 ROUND 6: MAX CORR ( 57.6668943) AFTER KILLING INPUT VARIABLE 4 CONTR 3.96972871 ROUND 7: MAX CORR ( 57.6100856) AFTER KILLING INPUT VARIABLE 9 CONTR 2.55904934 ROUND 8: MAX CORR ( 56.9510466) AFTER KILLING INPUT VARIABLE 10 CONTR 8.68908865 ROUND 9: MAX CORR ( 56.2522095) AFTER KILLING INPUT VARIABLE 5 CONTR 8.89441573 ROUND 10: MAX CORR ( 55.1034067) AFTER KILLING INPUT VARIABLE 3 CONTR 11.310422 ROUND 11: MAX CORR ( 54.5911394) AFTER KILLING INPUT VARIABLE 13 CONTR 7.49619406 ROUND 12: MAX CORR ( 51.1361296) AFTER KILLING INPUT VARIABLE 14 CONTR 19.1125286 LAST REMAINING VARIABLE: 7 total correlation to target: 58.0228359 % total significance: 24.6784916 sigma correlations of single variables to target: variable 2: 52.0352332 % , in sigma: 22.1318218 variable 3: 28.2117141 % , in sigma: 11.9991127 variable 4: 39.2918002 % , in sigma: 16.7117368 variable 5: 18.7249377 % , in sigma: 7.96416119 variable 6: 37.2742578 % , in sigma: 15.853628 variable 7: 51.1361296 % , in sigma: 21.7494117 variable 8: 40.9447883 % , in sigma: 17.4147919 variable 9: 47.5234723 % , in sigma: 20.2128627 variable 10: -27.245205 % , in sigma: 11.5880334 variable 11: -15.4603682 % , in sigma: 6.57566215 variable 12: -27.3339052 % , in sigma: 11.6257597 variable 13: 12.3012687 % , in sigma: 5.23202204 variable 14: 35.161643 % , in sigma: 14.9550827 variables sorted by significance: 1 most relevant variable 7 corr 51.1361313 , in sigma: 21.7494124 2 most relevant variable 14 corr 19.1125278 , in sigma: 8.1290125 3 most relevant variable 13 corr 7.49619389 , in sigma: 3.18830948 4 most relevant variable 3 corr 11.3104219 , in sigma: 4.81059136 5 most relevant variable 5 corr 8.89441586 , in sigma: 3.78300653 6 most relevant variable 10 corr 8.68908882 , in sigma: 3.69567606 7 most relevant variable 9 corr 2.55904937 , in sigma: 1.08842454 8 most relevant variable 4 corr 3.96972871 , in sigma: 1.68842 9 most relevant variable 2 corr 3.26309347 , in sigma: 1.38787123 10 most relevant variable 12 corr 2.38027382 , in sigma: 1.01238705 11 most relevant variable 11 corr 2.9543345 , in sigma: 1.2565487 12 most relevant variable 6 corr 0.577846706 , in sigma: 0.245771942 13 most relevant variable 8 corr 0.211102247 , in sigma: 0.0897868047 global correlations between input variables: variable 2: 99.4064364 % variable 3: 93.455026 % variable 4: 90.7528027 % variable 5: 97.9934848 % variable 6: 96.7561005 % variable 7: 99.1559471 % variable 8: 89.9459062 % variable 9: 99.320683 % variable 10: 71.810861 % variable 11: 50.2914635 % variable 12: 74.7949868 % variable 13: 78.1074283 % variable 14: 86.928338 % significance loss when removing single variables: variable 2: corr = 3.11046559 % , sigma = 1.32295497 variable 3: corr = 10.0046773 % , sigma = 4.25522713 variable 4: corr = 5.26850259 % , sigma = 2.24081941 variable 5: corr = 5.38337604 % , sigma = 2.28967782 variable 6: corr = 0.615166243 % , sigma = 0.261644829 variable 7: corr = 2.96714721 % , sigma = 1.26199825 variable 8: corr = 0.211102243 % , sigma = 0.0897868027 variable 9: corr = 4.59351942 % , sigma = 1.95373302 variable 10: corr = 8.19852672 % , sigma = 3.48702834 variable 11: corr = 2.95859213 % , sigma = 1.25835957 variable 12: corr = 3.35534794 % , sigma = 1.42710925 variable 13: corr = 8.62516365 % , sigma = 3.66848716 variable 14: corr = 11.2192181 % , sigma = 4.77180019 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 4 --> 8.03490448 sigma out 15 active outputs RANK 2 NODE 3 --> 6.42143536 sigma out 15 active outputs RANK 3 NODE 5 --> 6.25294447 sigma out 15 active outputs RANK 4 NODE 1 --> 4.93295622 sigma out 15 active outputs RANK 5 NODE 2 --> 3.15597606 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 7.07207012 sigma in 5act. ( 8.66180801 sig out 1act.) RANK 2 NODE 2 --> 6.43945789 sigma in 5act. ( 7.2584796 sig out 1act.) RANK 3 NODE 11 --> 5.60028076 sigma in 5act. ( 7.03501701 sig out 1act.) RANK 4 NODE 1 --> 4.24036264 sigma in 5act. ( 4.85132265 sig out 1act.) RANK 5 NODE 3 --> 3.44185662 sigma in 5act. ( 3.58934212 sig out 1act.) RANK 6 NODE 5 --> 2.34359765 sigma in 5act. ( 2.6329515 sig out 1act.) RANK 7 NODE 15 --> 2.20303106 sigma in 5act. ( 2.07406616 sig out 1act.) RANK 8 NODE 10 --> 2.03271914 sigma in 5act. ( 2.24066806 sig out 1act.) RANK 9 NODE 7 --> 1.97456884 sigma in 5act. ( 2.00304389 sig out 1act.) RANK 10 NODE 8 --> 1.68075752 sigma in 5act. ( 1.77875555 sig out 1act.) RANK 11 NODE 14 --> 1.3404001 sigma in 5act. ( 0.803364515 sig out 1act.) RANK 12 NODE 9 --> 1.20718455 sigma in 5act. ( 1.35660303 sig out 1act.) RANK 13 NODE 13 --> 1.1548636 sigma in 5act. ( 0.711508036 sig out 1act.) RANK 14 NODE 6 --> 0.702123284 sigma in 5act. ( 0.307025373 sig out 1act.) RANK 15 NODE 4 --> 0.484585196 sigma in 5act. ( 0.588520885 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 8.66180801 sigma out 1act.( 7.07207012 sig in 5act.) RANK 2 NODE 2 --> 7.2584796 sigma out 1act.( 6.43945789 sig in 5act.) RANK 3 NODE 11 --> 7.03501701 sigma out 1act.( 5.60028076 sig in 5act.) RANK 4 NODE 1 --> 4.85132265 sigma out 1act.( 4.24036264 sig in 5act.) RANK 5 NODE 3 --> 3.58934212 sigma out 1act.( 3.44185662 sig in 5act.) RANK 6 NODE 5 --> 2.6329515 sigma out 1act.( 2.34359765 sig in 5act.) RANK 7 NODE 10 --> 2.24066806 sigma out 1act.( 2.03271914 sig in 5act.) RANK 8 NODE 15 --> 2.07406616 sigma out 1act.( 2.20303106 sig in 5act.) RANK 9 NODE 7 --> 2.00304389 sigma out 1act.( 1.97456884 sig in 5act.) RANK 10 NODE 8 --> 1.77875555 sigma out 1act.( 1.68075752 sig in 5act.) RANK 11 NODE 9 --> 1.35660303 sigma out 1act.( 1.20718455 sig in 5act.) RANK 12 NODE 14 --> 0.803364515 sigma out 1act.( 1.3404001 sig in 5act.) RANK 13 NODE 13 --> 0.711508036 sigma out 1act.( 1.1548636 sig in 5act.) RANK 14 NODE 4 --> 0.588520885 sigma out 1act.( 0.484585196 sig in 5act.) RANK 15 NODE 6 --> 0.307025373 sigma out 1act.( 0.702123284 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 15.507617 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 9.53126049 sigma out 15 active outputs RANK 2 NODE 1 --> 9.2013483 sigma out 15 active outputs RANK 3 NODE 4 --> 7.99828815 sigma out 15 active outputs RANK 4 NODE 3 --> 7.55684996 sigma out 15 active outputs RANK 5 NODE 2 --> 6.39230251 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 7.89467955 sigma in 5act. ( 7.50307941 sig out 1act.) RANK 2 NODE 1 --> 7.23714304 sigma in 5act. ( 5.3774662 sig out 1act.) RANK 3 NODE 12 --> 7.18371868 sigma in 5act. ( 7.21708632 sig out 1act.) RANK 4 NODE 5 --> 5.78853607 sigma in 5act. ( 4.38115644 sig out 1act.) RANK 5 NODE 11 --> 5.74432611 sigma in 5act. ( 6.46030331 sig out 1act.) RANK 6 NODE 15 --> 4.91936159 sigma in 5act. ( 2.57735944 sig out 1act.) RANK 7 NODE 10 --> 4.4625411 sigma in 5act. ( 2.50248337 sig out 1act.) RANK 8 NODE 7 --> 4.3943572 sigma in 5act. ( 2.46210194 sig out 1act.) RANK 9 NODE 8 --> 3.72331905 sigma in 5act. ( 2.21745348 sig out 1act.) RANK 10 NODE 4 --> 3.56085515 sigma in 5act. ( 1.76167953 sig out 1act.) RANK 11 NODE 3 --> 3.07173085 sigma in 5act. ( 2.54080272 sig out 1act.) RANK 12 NODE 9 --> 1.90512407 sigma in 5act. ( 1.03760529 sig out 1act.) RANK 13 NODE 13 --> 0.868807673 sigma in 5act. ( 0.101850659 sig out 1act.) RANK 14 NODE 6 --> 0.678174257 sigma in 5act. ( 0.148812905 sig out 1act.) RANK 15 NODE 14 --> 0.624561906 sigma in 5act. ( 0.0341571495 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 7.50307941 sigma out 1act.( 7.89467955 sig in 5act.) RANK 2 NODE 12 --> 7.21708632 sigma out 1act.( 7.18371868 sig in 5act.) RANK 3 NODE 11 --> 6.46030331 sigma out 1act.( 5.74432611 sig in 5act.) RANK 4 NODE 1 --> 5.3774662 sigma out 1act.( 7.23714304 sig in 5act.) RANK 5 NODE 5 --> 4.38115644 sigma out 1act.( 5.78853607 sig in 5act.) RANK 6 NODE 15 --> 2.57735944 sigma out 1act.( 4.91936159 sig in 5act.) RANK 7 NODE 3 --> 2.54080272 sigma out 1act.( 3.07173085 sig in 5act.) RANK 8 NODE 10 --> 2.50248337 sigma out 1act.( 4.4625411 sig in 5act.) RANK 9 NODE 7 --> 2.46210194 sigma out 1act.( 4.3943572 sig in 5act.) RANK 10 NODE 8 --> 2.21745348 sigma out 1act.( 3.72331905 sig in 5act.) RANK 11 NODE 4 --> 1.76167953 sigma out 1act.( 3.56085515 sig in 5act.) RANK 12 NODE 9 --> 1.03760529 sigma out 1act.( 1.90512407 sig in 5act.) RANK 13 NODE 6 --> 0.148812905 sigma out 1act.( 0.678174257 sig in 5act.) RANK 14 NODE 13 --> 0.101850659 sigma out 1act.( 0.868807673 sig in 5act.) RANK 15 NODE 14 --> 0.0341571495 sigma out 1act.( 0.624561906 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 15.2572432 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.52933073 *** contribution from regularisation: 0.0165617391 *** contribution from error: -0.545892477 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.582970917 *** contribution from regularisation: 0.00778828515 *** contribution from error: -0.590759218 *********************************************** -----------------> Test sample ENTER BFGS code START -4519.96585 0.565158606 0.315810829 EXIT FROM BFGS code FG_START 0. 0.565158606 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.59234792 *** contribution from regularisation: 0.00390725862 *** contribution from error: -0.596255183 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4591.88086 0.565158606 4.30785275 EXIT FROM BFGS code FG_LNSRCH 0. 0.66179055 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.592135608 *** contribution from regularisation: 0.00674208812 *** contribution from error: -0.598877668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4590.23541 0.66179055 -9.41812038 EXIT FROM BFGS code FG_LNSRCH 0. 0.609784603 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.593099654 *** contribution from regularisation: 0.0072420123 *** contribution from error: -0.600341678 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4597.70828 0.609784603 -2.68724847 EXIT FROM BFGS code NEW_X -4597.70828 0.609784603 -2.68724847 ENTER BFGS code NEW_X -4597.70828 0.609784603 -2.68724847 EXIT FROM BFGS code FG_LNSRCH 0. 0.601776004 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.593891859 *** contribution from regularisation: 0.00665621459 *** contribution from error: -0.600548089 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4603.84973 0.601776004 -3.51066256 EXIT FROM BFGS code NEW_X -4603.84973 0.601776004 -3.51066256 ENTER BFGS code NEW_X -4603.84973 0.601776004 -3.51066256 EXIT FROM BFGS code FG_LNSRCH 0. 0.415071338 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.566162169 *** contribution from regularisation: 0.00516382838 *** contribution from error: -0.571326017 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4388.88906 0.415071338 -3.93217897 EXIT FROM BFGS code FG_LNSRCH 0. 0.582284272 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.578941822 *** contribution from regularisation: 0.0215947907 *** contribution from error: -0.600536585 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4487.95706 0.582284272 -3.42600036 EXIT FROM BFGS code FG_LNSRCH 0. 0.601580858 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.594132662 *** contribution from regularisation: 0.00641650427 *** contribution from error: -0.600549161 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4605.71633 0.601580858 -4.00271368 EXIT FROM BFGS code FG_LNSRCH 0. 0.601360738 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 7.16319036 sigma out 15 active outputs RANK 2 NODE 5 --> 6.87645674 sigma out 15 active outputs RANK 3 NODE 3 --> 4.71456289 sigma out 15 active outputs RANK 4 NODE 2 --> 4.6557107 sigma out 15 active outputs RANK 5 NODE 4 --> 3.97071004 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 5.29130793 sigma in 5act. ( 3.23324823 sig out 1act.) RANK 2 NODE 2 --> 4.98555803 sigma in 5act. ( 3.43790913 sig out 1act.) RANK 3 NODE 5 --> 4.20317936 sigma in 5act. ( 2.82044315 sig out 1act.) RANK 4 NODE 12 --> 4.00613594 sigma in 5act. ( 2.81545544 sig out 1act.) RANK 5 NODE 15 --> 3.80231094 sigma in 5act. ( 2.06274343 sig out 1act.) RANK 6 NODE 10 --> 3.39237976 sigma in 5act. ( 2.01978469 sig out 1act.) RANK 7 NODE 7 --> 3.39171267 sigma in 5act. ( 1.85824573 sig out 1act.) RANK 8 NODE 4 --> 3.17690229 sigma in 5act. ( 1.86469972 sig out 1act.) RANK 9 NODE 11 --> 3.10633206 sigma in 5act. ( 2.46045542 sig out 1act.) RANK 10 NODE 8 --> 2.75272393 sigma in 5act. ( 1.6125015 sig out 1act.) RANK 11 NODE 3 --> 2.03182292 sigma in 5act. ( 1.25522494 sig out 1act.) RANK 12 NODE 9 --> 1.46570194 sigma in 5act. ( 0.874400735 sig out 1act.) RANK 13 NODE 13 --> 0.518274844 sigma in 5act. ( 0.232266366 sig out 1act.) RANK 14 NODE 6 --> 0.484081328 sigma in 5act. ( 0.253907293 sig out 1act.) RANK 15 NODE 14 --> 0.357944548 sigma in 5act. ( 0.156122416 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 3.43790913 sigma out 1act.( 4.98555803 sig in 5act.) RANK 2 NODE 1 --> 3.23324823 sigma out 1act.( 5.29130793 sig in 5act.) RANK 3 NODE 5 --> 2.82044315 sigma out 1act.( 4.20317936 sig in 5act.) RANK 4 NODE 12 --> 2.81545544 sigma out 1act.( 4.00613594 sig in 5act.) RANK 5 NODE 11 --> 2.46045542 sigma out 1act.( 3.10633206 sig in 5act.) RANK 6 NODE 15 --> 2.06274343 sigma out 1act.( 3.80231094 sig in 5act.) RANK 7 NODE 10 --> 2.01978469 sigma out 1act.( 3.39237976 sig in 5act.) RANK 8 NODE 4 --> 1.86469972 sigma out 1act.( 3.17690229 sig in 5act.) RANK 9 NODE 7 --> 1.85824573 sigma out 1act.( 3.39171267 sig in 5act.) RANK 10 NODE 8 --> 1.6125015 sigma out 1act.( 2.75272393 sig in 5act.) RANK 11 NODE 3 --> 1.25522494 sigma out 1act.( 2.03182292 sig in 5act.) RANK 12 NODE 9 --> 0.874400735 sigma out 1act.( 1.46570194 sig in 5act.) RANK 13 NODE 6 --> 0.253907293 sigma out 1act.( 0.484081328 sig in 5act.) RANK 14 NODE 13 --> 0.232266366 sigma out 1act.( 0.518274844 sig in 5act.) RANK 15 NODE 14 --> 0.156122416 sigma out 1act.( 0.357944548 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 8.03469849 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.592622876 *** contribution from regularisation: 0.00792737212 *** contribution from error: -0.600550234 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4594.01241 0.601360738 -3.80767822 EXIT FROM BFGS code FG_LNSRCH 0. 0.60158056 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.59351176 *** contribution from regularisation: 0.00703738537 *** contribution from error: -0.600549161 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4600.90328 0.60158056 -3.56396604 EXIT FROM BFGS code FG_LNSRCH 0. 0.601580858 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.593720019 *** contribution from regularisation: 0.00682913139 *** contribution from error: -0.600549161 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4602.51764 0.601580858 -3.71012115 EXIT FROM BFGS code NEW_X -4602.51764 0.601580858 -3.71012115 ENTER BFGS code NEW_X -4602.51764 0.601580858 -3.71012115 EXIT FROM BFGS code CONVERGENC -4602.51764 0.601580858 -3.71012115 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 11.8893394 sigma out 15 active outputs RANK 2 NODE 5 --> 9.68690491 sigma out 15 active outputs RANK 3 NODE 3 --> 6.74554253 sigma out 15 active outputs RANK 4 NODE 2 --> 6.37990808 sigma out 15 active outputs RANK 5 NODE 4 --> 5.92073822 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 8.41564369 sigma in 5act. ( 5.54051113 sig out 1act.) RANK 2 NODE 2 --> 7.90068674 sigma in 5act. ( 5.76322317 sig out 1act.) RANK 3 NODE 5 --> 6.95790958 sigma in 5act. ( 4.73958588 sig out 1act.) RANK 4 NODE 12 --> 5.42442369 sigma in 5act. ( 4.9210763 sig out 1act.) RANK 5 NODE 15 --> 5.31064129 sigma in 5act. ( 3.4490428 sig out 1act.) RANK 6 NODE 10 --> 5.02219391 sigma in 5act. ( 3.18448353 sig out 1act.) RANK 7 NODE 11 --> 4.89338493 sigma in 5act. ( 3.8887341 sig out 1act.) RANK 8 NODE 4 --> 4.76474905 sigma in 5act. ( 2.73084998 sig out 1act.) RANK 9 NODE 7 --> 4.66958237 sigma in 5act. ( 2.9699254 sig out 1act.) RANK 10 NODE 8 --> 3.72974086 sigma in 5act. ( 2.63626528 sig out 1act.) RANK 11 NODE 3 --> 2.40699649 sigma in 5act. ( 2.04743671 sig out 1act.) RANK 12 NODE 9 --> 1.78200769 sigma in 5act. ( 1.18827116 sig out 1act.) RANK 13 NODE 13 --> 0.514921784 sigma in 5act. ( 0.251243889 sig out 1act.) RANK 14 NODE 6 --> 0.476679265 sigma in 5act. ( 0.254798114 sig out 1act.) RANK 15 NODE 14 --> 0.348598659 sigma in 5act. ( 0.159696773 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 5.76322317 sigma out 1act.( 7.90068674 sig in 5act.) RANK 2 NODE 1 --> 5.54051113 sigma out 1act.( 8.41564369 sig in 5act.) RANK 3 NODE 12 --> 4.9210763 sigma out 1act.( 5.42442369 sig in 5act.) RANK 4 NODE 5 --> 4.73958588 sigma out 1act.( 6.95790958 sig in 5act.) RANK 5 NODE 11 --> 3.8887341 sigma out 1act.( 4.89338493 sig in 5act.) RANK 6 NODE 15 --> 3.4490428 sigma out 1act.( 5.31064129 sig in 5act.) RANK 7 NODE 10 --> 3.18448353 sigma out 1act.( 5.02219391 sig in 5act.) RANK 8 NODE 7 --> 2.9699254 sigma out 1act.( 4.66958237 sig in 5act.) RANK 9 NODE 4 --> 2.73084998 sigma out 1act.( 4.76474905 sig in 5act.) RANK 10 NODE 8 --> 2.63626528 sigma out 1act.( 3.72974086 sig in 5act.) RANK 11 NODE 3 --> 2.04743671 sigma out 1act.( 2.40699649 sig in 5act.) RANK 12 NODE 9 --> 1.18827116 sigma out 1act.( 1.78200769 sig in 5act.) RANK 13 NODE 6 --> 0.254798114 sigma out 1act.( 0.476679265 sig in 5act.) RANK 14 NODE 13 --> 0.251243889 sigma out 1act.( 0.514921784 sig in 5act.) RANK 15 NODE 14 --> 0.159696773 sigma out 1act.( 0.348598659 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.2942533 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.593520105 *** contribution from regularisation: 0.00702902675 *** contribution from error: -0.600549102 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23090 Closing output file done