NNInput NNInputs_125.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 189412 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 = 47707 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 47707 Chosen entries: 47707 Signal fraction: 1 Background fraction: 0.336664 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 47707 Entries to split: 47707 Test with : 23853 Train with : 23853 ********************************************* * 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= 47707 for Signal Prepared event 0 for Signal with 47707 events ====Entry 0 Variable Ht : 120.494 Variable LepAPt : 52.8932 Variable LepBPt : 13.787 Variable MetSigLeptonsJets : 6.59008 Variable MetSpec : 53.8132 Variable SumEtLeptonsJets : 66.6802 Variable VSumJetLeptonsPt : 66.139 Variable addEt : 120.494 Variable dPhiLepSumMet : 2.99118 Variable dPhiLeptons : 0.315251 Variable dRLeptons : 0.406645 Variable lep1_E : 70.3851 Variable lep2_E : 15.8115 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2125 Ht = 120.494 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 52.8933 LepAPt = 52.8932 LepBEt = 13.787 LepBPt = 13.787 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 53.8132 MetDelPhi = 2.92651 MetSig = 4.22058 MetSigLeptonsJets = 6.59008 MetSpec = 53.8132 Mjj = 0 MostCentralJetEta = 0 MtllMet = 129.103 Njets = 0 SB = 0 SumEt = 162.568 SumEtJets = 0 SumEtLeptonsJets = 66.6802 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 66.139 addEt = 120.494 dPhiLepSumMet = 2.99118 dPhiLeptons = 0.315251 dRLeptons = 0.406645 diltype = 49 dimass = 10.9671 event = 2092 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 70.3851 lep2_E = 15.8115 rand = 0.999742 run = 235158 weight = 1.4937e-06 ===Show End Prepared event 10000 for Signal with 47707 events Prepared event 20000 for Signal with 47707 events Prepared event 30000 for Signal with 47707 events Prepared event 40000 for Signal with 47707 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 141705 for Background Prepared event 0 for Background with 141705 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.275086 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepared event 110000 for Background with 141705 events Prepared event 120000 for Background with 141705 events Prepared event 130000 for Background with 141705 events Prepared event 140000 for Background with 141705 events Warning: found 4494 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 189412 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 4494 negative weights. Signal fraction: 62.825882 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 46.4561081 61.4250908 63.567791 65.5503845 67.0279465 67.9446106 68.875351 69.950943 70.7701492 71.5990143 72.3637848 73.237648 73.9566269 74.4836349 75.1367416 75.7605133 76.4499359 77.0253906 77.5253067 78.1277161 78.7107391 79.2847824 79.7783356 80.4406586 80.9981995 81.608139 82.2680054 82.9181824 83.669487 84.5610199 85.2378693 86.1500244 87.1756592 88.2811127 89.1093903 90.1579514 91.2479782 92.2857285 93.287796 94.368454 95.6133041 96.5967789 97.7064285 98.5961761 99.5255966 100.641113 101.544388 102.50045 103.379791 104.369934 105.364761 106.265671 107.194969 108.16922 109.133774 110.160454 111.082893 111.993614 112.919495 113.893433 115.009018 116.149651 117.134071 118.101181 119.24073 120.459305 121.63768 122.764572 124.008972 125.350471 126.780571 128.279327 129.954147 131.74939 133.523651 135.538193 137.482391 139.480164 141.587372 143.498047 145.801605 148.198669 150.671722 153.428436 156.00769 158.769943 161.428711 164.990234 168.828705 172.921982 177.675262 182.517181 188.121536 195.231323 202.896057 211.815399 224.866898 242.043152 267.05658 312.86731 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.2763557 20.5615273 20.7949524 21.0458889 21.2924366 21.4812336 21.6785812 21.8923302 22.0808334 22.2921124 22.4765434 22.6767159 22.8328438 23.0622597 23.248024 23.4305725 23.6117973 23.7971687 23.9774971 24.1646347 24.378933 24.5534801 24.74049 24.9038334 25.1112366 25.284729 25.4560928 25.6329212 25.8163414 26.0117302 26.1878929 26.3315144 26.5201454 26.7081833 26.8840065 27.0764427 27.2785816 27.4813004 27.6629066 27.8484364 28.0113716 28.1644669 28.3765182 28.5818596 28.7921944 29.0039101 29.1712189 29.3680038 29.6096497 29.7975121 30.011282 30.2355366 30.470726 30.69804 30.9449997 31.1841469 31.4526386 31.6886044 31.9367371 32.2043533 32.454525 32.7509232 33.0435715 33.2776794 33.5632629 33.838932 34.1355743 34.4445496 34.7950516 35.1423111 35.4536819 35.8145218 36.1666946 36.5228767 36.9124603 37.3089218 37.7315521 38.1631393 38.6699219 39.1136093 39.6232834 40.16436 40.6939087 41.0635681 41.737442 42.3673553 43.0410728 43.8340225 44.6993752 45.6474419 46.6027222 47.6938705 49.1672134 50.7060089 52.6058846 54.9093361 58.2883072 63.4077187 72.1176758 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.103735 10.1909695 10.2789297 10.3762321 10.4655838 10.5690804 10.6713409 10.7734432 10.8854551 10.9772339 11.0756626 11.1953144 11.3183613 11.4102926 11.5165272 11.631444 11.7473774 11.8649426 12.001173 12.1078234 12.2350836 12.3354511 12.4490938 12.5664635 12.6852026 12.8100262 12.9369755 13.0812321 13.2217035 13.3673668 13.4957876 13.6303291 13.7605877 13.8748703 14.0217991 14.1646862 14.2896481 14.4069519 14.5607719 14.7320242 14.8767481 15.0296135 15.2024107 15.3600121 15.5082932 15.6563778 15.8005352 15.9465923 16.1190872 16.2883511 16.437809 16.6007423 16.7679253 16.9272156 17.1207771 17.3121185 17.5057926 17.6986542 17.8841438 18.0392876 18.2402153 18.4218616 18.6441975 18.8451385 19.0436344 19.255022 19.4526863 19.6870575 19.9133968 20.134182 20.3389969 20.55439 20.7732277 21.0006924 21.2485676 21.4954071 21.7402077 21.9870949 22.259491 22.5233288 22.8076935 23.1219311 23.4443226 23.7500076 24.0871696 24.4549408 24.8255577 25.2368889 25.6879463 26.1204929 26.6120605 27.1836758 27.7926292 28.425087 29.2589417 30.3200569 31.6434097 33.7221794 37.8444786 72.3692474 ------------------------------ Transdef: Tab for variable 5 1.12756646 2.35707903 2.70804048 2.9814527 3.16621852 3.36544013 3.52994275 3.67186618 3.81223822 3.94350147 4.07403469 4.18202782 4.28266048 4.3695116 4.46040487 4.53842163 4.62278271 4.68700933 4.76224613 4.82703114 4.90306187 4.96674299 5.02259684 5.08418846 5.1518631 5.19961739 5.26351547 5.30937672 5.3630147 5.4037056 5.45084667 5.50003862 5.54536915 5.58887959 5.63212109 5.67237663 5.7186718 5.76067162 5.80168915 5.84139061 5.88256454 5.92357349 5.9667263 6.00712395 6.04329014 6.07705402 6.11448002 6.15333271 6.19092751 6.22729492 6.2715292 6.30723858 6.34715796 6.38342381 6.42319584 6.46122646 6.50048828 6.54011822 6.58336401 6.62567997 6.66002035 6.69675541 6.73459148 6.77606106 6.81720352 6.85269737 6.89284325 6.940341 6.98070145 7.02302456 7.06346893 7.11373663 7.15932274 7.20391035 7.24676418 7.29480171 7.34030247 7.39321375 7.43725967 7.48814106 7.54251003 7.59692383 7.65217257 7.7165966 7.77769279 7.84962845 7.91497374 7.98925352 8.06825256 8.16158295 8.25140381 8.35109329 8.45729637 8.58575249 8.7251997 8.87903976 9.10179234 9.39512157 9.80477142 10.6993961 17.7251911 ------------------------------ Transdef: Tab for variable 6 15.0050735 19.0572395 22.2766151 25.1113205 25.8548431 26.5358715 27.2089481 27.9197578 28.578495 29.2125988 29.8527164 30.4841003 31.0917435 31.54776 32.0673752 32.4396591 32.8435364 33.2546234 33.6697922 34.0865402 34.4718246 34.7797852 35.0971222 35.486351 35.8372345 36.181282 36.5205536 36.8480759 37.1944504 37.5102692 37.8046722 38.1368332 38.4727783 38.7918892 39.1277428 39.4790802 39.7477608 40.0837364 40.3590164 40.6634483 41.0101547 41.3644218 41.7000732 42.0424728 42.3548431 42.6158028 42.9766922 43.3454742 43.7601929 44.1890411 44.6109734 45.0300102 45.5328217 45.9580078 46.4219551 46.855629 47.3377991 47.7161484 48.2031326 48.6759491 49.1647224 49.6045837 50.1026726 50.4942627 51.0009079 51.5337601 51.9809952 52.5028381 53.0640068 53.5916138 54.1316452 54.5749016 55.0489044 55.5244865 56.0689735 56.5834274 57.0966415 57.6622353 58.2002182 58.718483 59.3326645 59.9710464 60.6323166 61.3468628 62.094429 62.8591614 63.7610283 64.667984 65.7330399 66.8441086 68.2241669 69.5744019 71.1743927 73.135994 75.3866806 77.4204712 80.8718262 84.9663086 91.1571655 101.511948 201.618698 ------------------------------ Transdef: Tab for variable 7 30.1131554 32.3247643 33.3427086 34.0129242 34.6423569 35.0915871 35.5250473 35.944313 36.3413467 36.7344666 37.0953751 37.4180298 37.74189 38.0303726 38.3035355 38.5711174 38.8132477 39.0917358 39.3910751 39.6448784 39.9905701 40.261528 40.5364761 40.8495102 41.1866608 41.463707 41.8137779 42.1263657 42.5062103 42.9570084 43.3874207 43.8364563 44.3965149 44.8805084 45.3353958 45.8744431 46.4527321 47.0540161 47.6216354 48.2270737 48.840416 49.4522247 50.0267181 50.7582169 51.3666992 51.9613876 52.5649719 53.1634369 53.7666931 54.4190445 55.0287781 55.679245 56.2585487 56.8772049 57.5409927 58.2303696 58.917202 59.6053696 60.3411331 61.0547485 61.8748055 62.6928482 63.6440735 64.6048279 65.6352997 66.7452698 68.0611725 69.3358612 70.7270966 72.029068 73.3990021 74.8038406 76.1438522 77.3785858 78.8294296 80.4360504 81.9678116 83.5171051 85.3149719 87.2241669 89.0481949 91.1167526 93.2278519 95.4546509 98.1756134 100.782272 103.71492 106.707687 109.88002 113.518463 117.58786 122.099945 127.422028 132.657257 139.414948 147.053284 157.150909 169.601212 190.099884 224.912216 458.64209 ------------------------------ Transdef: Tab for variable 8 0.678276479 20.8660126 25.2940788 28.3423996 29.9802837 31.0423355 31.7249584 32.4043884 32.9497757 33.3854828 33.8001175 34.2201843 34.6319504 34.9699097 35.2435074 35.5524635 35.9106216 36.1379852 36.4290085 36.7019806 36.9650116 37.2442322 37.4675331 37.7210083 37.9527817 38.2119598 38.4688606 38.6930466 38.9149475 39.1357727 39.3600845 39.6109886 39.8545418 40.1156387 40.3586388 40.6235657 40.885849 41.2101593 41.4687271 41.8049698 42.0983658 42.4371948 42.7536621 43.1076126 43.4231033 43.8203278 44.21558 44.5890007 44.9677429 45.3519592 45.7377472 46.1513405 46.6148834 47.0066452 47.4138908 47.8595848 48.2708168 48.6950455 49.0818901 49.4812317 49.9397049 50.4087677 50.8836517 51.3346634 51.7613831 52.2308159 52.6868668 53.0846748 53.5654144 54.0202942 54.5154724 55.0161972 55.5063782 56.0459442 56.5592957 57.0892334 57.604744 58.1588516 58.7187958 59.3349648 59.9451447 60.5718842 61.2980423 62.0720673 62.9117813 63.7359314 64.6912842 65.5886078 66.7897644 68.043808 69.5725403 71.4258041 73.2542801 75.1329269 77.666954 80.8072662 84.7325211 89.9846497 98.0736237 115.370041 326.868286 ------------------------------ Transdef: Tab for variable 9 46.4561081 60.8310242 62.8618698 64.7298889 66.0592117 67.2285004 68.0350647 68.8520966 69.7771988 70.4466248 71.2854767 71.8001251 72.6051788 73.2838898 73.9272232 74.3968506 74.9617081 75.4854126 76.0138702 76.5848846 77.0271454 77.4702225 78.0009613 78.523613 78.9764709 79.4272766 79.8437805 80.3948898 80.9487457 81.4053802 81.956665 82.4636002 82.9936295 83.5885925 84.2728882 84.8508606 85.3928528 86.1541443 86.9031448 87.710434 88.467453 89.046524 89.7950287 90.5406342 91.3370895 92.119072 92.86026 93.625 94.4304199 95.3149414 96.1396866 96.8168335 97.6921768 98.4013367 99.1076508 99.8861847 100.772171 101.459579 102.151993 102.877441 103.609222 104.361389 105.099052 105.852203 106.519211 107.29248 108.027161 108.82235 109.506042 110.233574 110.959137 111.715988 112.399155 113.12619 113.88166 114.579605 115.389008 116.198006 116.9524 117.714828 118.543365 119.411896 120.247162 121.144562 122.030685 123.036308 124.023849 125.137466 126.318832 127.655266 129.273453 131.135529 133.310822 135.913696 139.131348 142.806686 148.332458 155.890228 166.796051 192.385437 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.783308625 1.08911955 1.29894161 1.45845175 1.59648836 1.71425915 1.80591249 1.89663911 1.97839212 2.04724932 2.10834885 2.16539717 2.21729565 2.26446199 2.30729389 2.35383368 2.39445186 2.43058252 2.46256351 2.49639988 2.52731037 2.5575335 2.58422875 2.60978532 2.63146925 2.65211415 2.67693257 2.70085406 2.72071409 2.74014568 2.75813818 2.77462101 2.79116249 2.80658531 2.82276487 2.83385348 2.84694648 2.85834503 2.86991835 2.88017988 2.88970828 2.90056372 2.90974045 2.91723609 2.92577863 2.93299627 2.93976402 2.94736528 2.95466518 2.96154499 2.96784973 2.97523594 2.98140764 2.98683715 2.99056172 2.99510789 3.00058746 3.00580835 3.01038194 3.01463699 3.01959133 3.0241468 3.02815557 3.03234315 3.03673553 3.04088593 3.04498124 3.04896975 3.05285931 3.05622387 3.05995131 3.06357694 3.06710148 3.07057905 3.07354569 3.07678246 3.08026171 3.08350205 3.08653355 3.08936095 3.09199524 3.09493923 3.09758377 3.10034561 3.10258293 3.10491848 3.1076808 3.11023617 3.11309195 3.11551428 3.11826038 3.12102318 3.12367868 3.12625718 3.12861586 3.13160157 3.1338582 3.13647699 3.13896561 3.14159155 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00627231691 0.0116821565 0.0182395577 0.0249019787 0.0326350182 0.0414591432 0.0504747815 0.0586179495 0.0676466227 0.0769131184 0.0850255638 0.0942685604 0.102362037 0.110514879 0.117888972 0.125469923 0.133575171 0.142065287 0.150370359 0.157764792 0.16525054 0.172366649 0.179102302 0.186262414 0.192910686 0.19923459 0.205657735 0.212146133 0.2188797 0.225521326 0.232160494 0.237417221 0.244019747 0.250515401 0.255922884 0.261491656 0.267301917 0.273158163 0.278693944 0.284551263 0.290566385 0.296794415 0.301829576 0.307745874 0.313838422 0.32058382 0.326089144 0.332511783 0.338961363 0.344739795 0.350301862 0.355982065 0.361764789 0.36782527 0.373785436 0.379709005 0.385392427 0.390824407 0.397067547 0.40254131 0.408442259 0.414929628 0.421209633 0.426542342 0.432083964 0.436960459 0.442448795 0.449110031 0.455507576 0.461372197 0.467953384 0.474283457 0.480054379 0.486542821 0.494287252 0.501973629 0.509299576 0.515965581 0.522531092 0.530344844 0.538865685 0.54461813 0.553281188 0.56276238 0.572331548 0.581361234 0.591671884 0.602648139 0.615434527 0.628759265 0.63988173 0.651016891 0.666110039 0.686436176 0.707293034 0.727090597 0.761369705 0.799999416 0.859342575 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.223410755 0.241762549 0.254775643 0.267337441 0.278467596 0.288125217 0.29793027 0.307564735 0.316725999 0.324517488 0.332291961 0.340340018 0.347057283 0.353849351 0.36142233 0.368025571 0.374848068 0.381788552 0.388459057 0.394806325 0.400178075 0.405505776 0.409914374 0.414166927 0.418308109 0.422538698 0.426748067 0.430798948 0.434507549 0.438368946 0.442480087 0.446216345 0.45014447 0.454540104 0.459035248 0.463448048 0.467575431 0.47134167 0.475020528 0.478479594 0.482111037 0.486323714 0.489943922 0.493288577 0.496763468 0.500602722 0.504792213 0.508801818 0.51279366 0.517056525 0.521268606 0.524907231 0.528628707 0.533356667 0.537473559 0.541721523 0.545978725 0.549245238 0.553380728 0.557738781 0.561573267 0.56620872 0.570452094 0.575345635 0.579513073 0.584005356 0.588943303 0.593873024 0.598405957 0.603599429 0.609323382 0.615424991 0.620261908 0.625970006 0.631595254 0.638168454 0.644364297 0.650290132 0.656522155 0.663001418 0.669455826 0.676094294 0.683886886 0.692673802 0.699786425 0.708541632 0.71846962 0.727018416 0.735095084 0.745705009 0.75729996 0.767320514 0.782295465 0.796423256 0.812963009 0.829853892 0.851127923 0.882135689 0.923221409 1.14129901 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.3625965 22.1211414 22.6434956 23.2134933 23.7180672 24.2264729 24.6645546 25.0224476 25.3642464 25.740324 26.0842705 26.4661961 26.8187046 27.1517258 27.4318542 27.7519379 28.0625725 28.3484306 28.6636658 28.9684868 29.2639313 29.5738335 29.8298969 30.1300697 30.4164009 30.6573792 30.9185371 31.2000217 31.4889526 31.7833576 32.0529175 32.3408203 32.598526 32.9166946 33.1860809 33.547966 33.8621254 34.160778 34.5148773 34.8213654 35.1156273 35.4116058 35.7518234 36.063549 36.345768 36.6955948 37.0279694 37.3699722 37.7324753 38.0553436 38.4195938 38.8079147 39.2066994 39.6355743 40.0510712 40.4655762 40.8110008 41.2611389 41.7674141 42.2766151 42.7612076 43.2790985 43.7409668 44.2629471 44.771965 45.3217087 45.8683968 46.4354935 47.01614 47.6125946 48.2293091 48.9096909 49.5416412 50.250618 50.9245911 51.8289948 52.7037163 53.5587158 54.4443741 55.2741241 56.2382011 57.2972527 58.3354187 59.4398422 60.5911407 62.0113525 63.3101349 64.8473663 66.589386 68.1417694 69.6408081 72.2011719 74.5862503 77.1863708 80.0702057 84.5726318 89.0402985 95.6362 105.688667 248.743759 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.5034485 10.8875942 11.2039928 11.4563026 11.737751 12.0352612 12.3005381 12.4817019 12.7352428 12.9539509 13.1962605 13.4007854 13.6298857 13.8519669 14.0692539 14.2946091 14.5084696 14.7010508 14.9035244 15.1203127 15.3271255 15.5458078 15.7572737 15.9831657 16.215744 16.4113655 16.6182022 16.8056831 16.9906197 17.1868477 17.4061909 17.6448421 17.8355198 18.0173969 18.2155533 18.4393768 18.6569557 18.8703308 19.0830688 19.2640553 19.4812469 19.721487 19.9683113 20.1982079 20.4144554 20.6798134 20.9108849 21.1492882 21.3474827 21.595932 21.8054504 22.0312653 22.2834606 22.5543156 22.8038692 23.0525055 23.3091354 23.5615692 23.8251648 24.0964813 24.3742218 24.6424026 24.9361801 25.2085304 25.5071793 25.7825508 26.0377159 26.3273487 26.6378174 26.9513264 27.2485847 27.5359554 27.8439598 28.1217766 28.4716492 28.9035435 29.2633514 29.6301231 30.0721169 30.5458908 31.0515461 31.4571953 31.8901558 32.5065613 33.1704521 33.8036461 34.484314 35.181488 36.0560532 36.9410248 37.8861618 39.010994 40.1961288 41.7431908 43.4974747 45.7476273 48.6818619 52.8670807 59.751564 122.221924 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 55.0 38.5 35.6 8.4 32.6 53.3 37.3 50.6 -29.7 -9.1 -22.9 3.0 4.0 2 55.0 100.0 63.3 48.9 17.9 58.0 94.4 63.2 89.8 -52.4 -19.0 -41.5 28.9 20.3 3 38.5 63.3 100.0 26.6 -5.8 23.7 66.7 44.1 68.2 -21.3 -20.6 -46.3 62.1 7.6 4 35.6 48.9 26.6 100.0 0.0 22.5 50.6 36.9 53.7 -14.0 -24.6 -52.2 7.6 67.1 5 8.4 17.9 -5.8 0.0 100.0 80.8 -9.4 47.2 45.4 28.5 1.9 4.7 -10.9 -5.1 6 32.6 58.0 23.7 22.5 80.8 100.0 35.6 71.8 74.5 -3.0 -6.9 -15.3 4.4 5.7 7 53.3 94.4 66.7 50.6 -9.4 35.6 100.0 55.8 77.5 -59.0 -18.9 -42.8 33.2 23.1 8 37.3 63.2 44.1 36.9 47.2 71.8 55.8 100.0 75.8 -10.0 -15.7 -30.3 19.4 16.7 9 50.6 89.8 68.2 53.7 45.4 74.5 77.5 75.8 100.0 -26.3 -20.8 -46.0 33.1 24.7 10 -29.7 -52.4 -21.3 -14.0 28.5 -3.0 -59.0 -10.0 -26.3 100.0 4.3 12.1 -8.1 -2.9 11 -9.1 -19.0 -20.6 -24.6 1.9 -6.9 -18.9 -15.7 -20.8 4.3 100.0 53.3 -9.7 -15.5 12 -22.9 -41.5 -46.3 -52.2 4.7 -15.3 -42.8 -30.3 -46.0 12.1 53.3 100.0 -21.5 -27.5 13 3.0 28.9 62.1 7.6 -10.9 4.4 33.2 19.4 33.1 -8.1 -9.7 -21.5 100.0 39.3 14 4.0 20.3 7.6 67.1 -5.1 5.7 23.1 16.7 24.7 -2.9 -15.5 -27.5 39.3 100.0 TOTAL CORRELATION TO TARGET (diagonal) 123.382468 TOTAL CORRELATION OF ALL VARIABLES 61.0686218 ROUND 1: MAX CORR ( 61.0668665) AFTER KILLING INPUT VARIABLE 11 CONTR 0.463026574 ROUND 2: MAX CORR ( 61.0639634) AFTER KILLING INPUT VARIABLE 7 CONTR 0.595446765 ROUND 3: MAX CORR ( 61.0298753) AFTER KILLING INPUT VARIABLE 5 CONTR 2.0400833 ROUND 4: MAX CORR ( 60.9986849) AFTER KILLING INPUT VARIABLE 8 CONTR 1.95092795 ROUND 5: MAX CORR ( 60.8724062) AFTER KILLING INPUT VARIABLE 10 CONTR 3.92297358 ROUND 6: MAX CORR ( 60.5039768) AFTER KILLING INPUT VARIABLE 6 CONTR 6.68719898 ROUND 7: MAX CORR ( 60.4540559) AFTER KILLING INPUT VARIABLE 9 CONTR 2.45730207 ROUND 8: MAX CORR ( 60.0595886) AFTER KILLING INPUT VARIABLE 14 CONTR 6.89483134 ROUND 9: MAX CORR ( 59.55604) AFTER KILLING INPUT VARIABLE 12 CONTR 7.76094568 ROUND 10: MAX CORR ( 58.8118383) AFTER KILLING INPUT VARIABLE 4 CONTR 9.38560499 ROUND 11: MAX CORR ( 56.6209146) AFTER KILLING INPUT VARIABLE 3 CONTR 15.9029667 ROUND 12: MAX CORR ( 54.9857579) AFTER KILLING INPUT VARIABLE 13 CONTR 13.5090487 LAST REMAINING VARIABLE: 2 total correlation to target: 61.0686218 % total significance: 119.331444 sigma correlations of single variables to target: variable 2: 54.9857579 % , in sigma: 107.445194 variable 3: 38.5368775 % , in sigma: 75.3031773 variable 4: 35.6430683 % , in sigma: 69.6485149 variable 5: 8.41708523 % , in sigma: 16.4474473 variable 6: 32.6234855 % , in sigma: 63.7480842 variable 7: 53.3281581 % , in sigma: 104.206153 variable 8: 37.3322157 % , in sigma: 72.9492019 variable 9: 50.5686065 % , in sigma: 98.8138371 variable 10: -29.6577907 % , in sigma: 57.9529536 variable 11: -9.12595648 % , in sigma: 17.8326207 variable 12: -22.9423261 % , in sigma: 44.8305664 variable 13: 2.98462061 % , in sigma: 5.83211276 variable 14: 4.03047469 % , in sigma: 7.87576912 variables sorted by significance: 1 most relevant variable 2 corr 54.9857597 , in sigma: 107.445197 2 most relevant variable 13 corr 13.5090485 , in sigma: 26.3974234 3 most relevant variable 3 corr 15.9029665 , in sigma: 31.0752708 4 most relevant variable 4 corr 9.38560486 , in sigma: 18.3399879 5 most relevant variable 12 corr 7.7609458 , in sigma: 15.1653148 6 most relevant variable 14 corr 6.89483118 , in sigma: 13.4728792 7 most relevant variable 9 corr 2.45730209 , in sigma: 4.80170339 8 most relevant variable 6 corr 6.68719912 , in sigma: 13.0671547 9 most relevant variable 10 corr 3.92297363 , in sigma: 7.66570615 10 most relevant variable 8 corr 1.95092797 , in sigma: 3.81222052 11 most relevant variable 5 corr 2.04008341 , in sigma: 3.98643514 12 most relevant variable 7 corr 0.595446765 , in sigma: 1.16353572 13 most relevant variable 11 corr 0.463026583 , in sigma: 0.904779399 global correlations between input variables: variable 2: 99.1245849 % variable 3: 93.3355458 % variable 4: 90.4120325 % variable 5: 94.8092191 % variable 6: 93.4036687 % variable 7: 98.6477838 % variable 8: 85.4871317 % variable 9: 98.784008 % variable 10: 72.7123807 % variable 11: 54.2617685 % variable 12: 72.9747324 % variable 13: 83.9859227 % variable 14: 85.9120803 % significance loss when removing single variables: variable 2: corr = 5.74992553 % , sigma = 11.2356706 variable 3: corr = 12.4426063 % , sigma = 24.3135368 variable 4: corr = 13.989715 % , sigma = 27.3366722 variable 5: corr = 2.12762889 % , sigma = 4.15750382 variable 6: corr = 4.2098879 % , sigma = 8.22635241 variable 7: corr = 0.564480352 % , sigma = 1.10302564 variable 8: corr = 1.72724255 % , sigma = 3.3751269 variable 9: corr = 5.47377929 % , sigma = 10.6960657 variable 10: corr = 4.26100249 % , sigma = 8.32623311 variable 11: corr = 0.463026574 % , sigma = 0.904779381 variable 12: corr = 6.30784189 % , sigma = 12.3258698 variable 13: corr = 9.12248033 % , sigma = 17.8258281 variable 14: corr = 6.82463844 % , sigma = 13.3357187 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 27.6714725 sigma out 15 active outputs RANK 2 NODE 10 --> 23.7328129 sigma out 15 active outputs RANK 3 NODE 4 --> 20.8966789 sigma out 15 active outputs RANK 4 NODE 8 --> 20.4235935 sigma out 15 active outputs RANK 5 NODE 6 --> 17.738203 sigma out 15 active outputs RANK 6 NODE 7 --> 15.7934341 sigma out 15 active outputs RANK 7 NODE 5 --> 14.4464569 sigma out 15 active outputs RANK 8 NODE 3 --> 13.5093203 sigma out 15 active outputs RANK 9 NODE 1 --> 13.3367958 sigma out 15 active outputs RANK 10 NODE 2 --> 9.61884689 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 42.0135422 sigma in 10act. ( 41.5604515 sig out 1act.) RANK 2 NODE 13 --> 24.7127113 sigma in 10act. ( 24.2012711 sig out 1act.) RANK 3 NODE 3 --> 19.7708511 sigma in 10act. ( 20.3731251 sig out 1act.) RANK 4 NODE 10 --> 13.736886 sigma in 10act. ( 14.4534779 sig out 1act.) RANK 5 NODE 15 --> 10.7982426 sigma in 10act. ( 13.0993662 sig out 1act.) RANK 6 NODE 8 --> 10.4161587 sigma in 10act. ( 4.26170254 sig out 1act.) RANK 7 NODE 1 --> 10.0257502 sigma in 10act. ( 9.91891766 sig out 1act.) RANK 8 NODE 12 --> 6.35016251 sigma in 10act. ( 6.93418837 sig out 1act.) RANK 9 NODE 7 --> 5.18620825 sigma in 10act. ( 5.09240294 sig out 1act.) RANK 10 NODE 9 --> 4.61995935 sigma in 10act. ( 1.36491001 sig out 1act.) RANK 11 NODE 5 --> 3.57593536 sigma in 10act. ( 2.62337756 sig out 1act.) RANK 12 NODE 2 --> 3.47800803 sigma in 10act. ( 3.82546473 sig out 1act.) RANK 13 NODE 11 --> 2.39200449 sigma in 10act. ( 2.61278152 sig out 1act.) RANK 14 NODE 4 --> 2.28378701 sigma in 10act. ( 2.26066089 sig out 1act.) RANK 15 NODE 6 --> 1.72536731 sigma in 10act. ( 1.85228682 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 41.5604515 sigma out 1act.( 42.0135422 sig in 10act.) RANK 2 NODE 13 --> 24.2012711 sigma out 1act.( 24.7127113 sig in 10act.) RANK 3 NODE 3 --> 20.3731251 sigma out 1act.( 19.7708511 sig in 10act.) RANK 4 NODE 10 --> 14.4534779 sigma out 1act.( 13.736886 sig in 10act.) RANK 5 NODE 15 --> 13.0993662 sigma out 1act.( 10.7982426 sig in 10act.) RANK 6 NODE 1 --> 9.91891766 sigma out 1act.( 10.0257502 sig in 10act.) RANK 7 NODE 12 --> 6.93418837 sigma out 1act.( 6.35016251 sig in 10act.) RANK 8 NODE 7 --> 5.09240294 sigma out 1act.( 5.18620825 sig in 10act.) RANK 9 NODE 8 --> 4.26170254 sigma out 1act.( 10.4161587 sig in 10act.) RANK 10 NODE 2 --> 3.82546473 sigma out 1act.( 3.47800803 sig in 10act.) RANK 11 NODE 5 --> 2.62337756 sigma out 1act.( 3.57593536 sig in 10act.) RANK 12 NODE 11 --> 2.61278152 sigma out 1act.( 2.39200449 sig in 10act.) RANK 13 NODE 4 --> 2.26066089 sigma out 1act.( 2.28378701 sig in 10act.) RANK 14 NODE 6 --> 1.85228682 sigma out 1act.( 1.72536731 sig in 10act.) RANK 15 NODE 9 --> 1.36491001 sigma out 1act.( 4.61995935 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 57.7740707 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 27.8164444 sigma out 15 active outputs RANK 2 NODE 10 --> 22.1974163 sigma out 15 active outputs RANK 3 NODE 8 --> 20.598793 sigma out 15 active outputs RANK 4 NODE 4 --> 20.0204983 sigma out 15 active outputs RANK 5 NODE 6 --> 17.6025047 sigma out 15 active outputs RANK 6 NODE 7 --> 15.485013 sigma out 15 active outputs RANK 7 NODE 2 --> 15.4417191 sigma out 15 active outputs RANK 8 NODE 5 --> 15.0259781 sigma out 15 active outputs RANK 9 NODE 3 --> 14.3310661 sigma out 15 active outputs RANK 10 NODE 1 --> 12.9921007 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 40.3233681 sigma in 10act. ( 39.4560471 sig out 1act.) RANK 2 NODE 13 --> 21.722456 sigma in 10act. ( 22.1722469 sig out 1act.) RANK 3 NODE 3 --> 20.164259 sigma in 10act. ( 19.8118572 sig out 1act.) RANK 4 NODE 15 --> 14.0369911 sigma in 10act. ( 12.8276901 sig out 1act.) RANK 5 NODE 10 --> 13.6819258 sigma in 10act. ( 14.5066919 sig out 1act.) RANK 6 NODE 12 --> 10.3826733 sigma in 10act. ( 6.73309374 sig out 1act.) RANK 7 NODE 1 --> 9.05827522 sigma in 10act. ( 9.06680489 sig out 1act.) RANK 8 NODE 5 --> 9.00944519 sigma in 10act. ( 2.75681472 sig out 1act.) RANK 9 NODE 8 --> 8.60610008 sigma in 10act. ( 3.41634989 sig out 1act.) RANK 10 NODE 4 --> 7.64644051 sigma in 10act. ( 3.19973874 sig out 1act.) RANK 11 NODE 2 --> 7.06919622 sigma in 10act. ( 4.0181489 sig out 1act.) RANK 12 NODE 6 --> 6.53443384 sigma in 10act. ( 2.29149151 sig out 1act.) RANK 13 NODE 9 --> 6.25082541 sigma in 10act. ( 0.930322945 sig out 1act.) RANK 14 NODE 7 --> 5.68176603 sigma in 10act. ( 5.05076361 sig out 1act.) RANK 15 NODE 11 --> 4.83670235 sigma in 10act. ( 3.24556303 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 39.4560471 sigma out 1act.( 40.3233681 sig in 10act.) RANK 2 NODE 13 --> 22.1722469 sigma out 1act.( 21.722456 sig in 10act.) RANK 3 NODE 3 --> 19.8118572 sigma out 1act.( 20.164259 sig in 10act.) RANK 4 NODE 10 --> 14.5066919 sigma out 1act.( 13.6819258 sig in 10act.) RANK 5 NODE 15 --> 12.8276901 sigma out 1act.( 14.0369911 sig in 10act.) RANK 6 NODE 1 --> 9.06680489 sigma out 1act.( 9.05827522 sig in 10act.) RANK 7 NODE 12 --> 6.73309374 sigma out 1act.( 10.3826733 sig in 10act.) RANK 8 NODE 7 --> 5.05076361 sigma out 1act.( 5.68176603 sig in 10act.) RANK 9 NODE 2 --> 4.0181489 sigma out 1act.( 7.06919622 sig in 10act.) RANK 10 NODE 8 --> 3.41634989 sigma out 1act.( 8.60610008 sig in 10act.) RANK 11 NODE 11 --> 3.24556303 sigma out 1act.( 4.83670235 sig in 10act.) RANK 12 NODE 4 --> 3.19973874 sigma out 1act.( 7.64644051 sig in 10act.) RANK 13 NODE 5 --> 2.75681472 sigma out 1act.( 9.00944519 sig in 10act.) RANK 14 NODE 6 --> 2.29149151 sigma out 1act.( 6.53443384 sig in 10act.) RANK 15 NODE 9 --> 0.930322945 sigma out 1act.( 6.25082541 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 55.056778 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.412877619 *** contribution from regularisation: 0.0033236919 *** contribution from error: -0.416201323 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.446433187 *** contribution from regularisation: 0.00196585385 *** contribution from error: -0.448399037 *********************************************** -----------------> Test sample ENTER BFGS code START -42289.3728 -0.0530679747 -0.229614615 EXIT FROM BFGS code FG_START 0. -0.0530679747 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.469553232 *** contribution from regularisation: 0.00187862047 *** contribution from error: -0.471431851 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -44469.5084 -0.0530679747 130.974976 EXIT FROM BFGS code FG_LNSRCH 0. -0.030062696 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.510581076 *** contribution from regularisation: 0.00242390297 *** contribution from error: -0.513004959 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48355.0927 -0.030062696 74.3547592 EXIT FROM BFGS code NEW_X -48355.0927 -0.030062696 74.3547592 ENTER BFGS code NEW_X -48355.0927 -0.030062696 74.3547592 EXIT FROM BFGS code FG_LNSRCH 0. -0.0125852311 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.515366673 *** contribution from regularisation: 0.00265874295 *** contribution from error: -0.518025398 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48808.3184 -0.0125852311 65.7761688 EXIT FROM BFGS code NEW_X -48808.3184 -0.0125852311 65.7761688 ENTER BFGS code NEW_X -48808.3184 -0.0125852311 65.7761688 EXIT FROM BFGS code FG_LNSRCH 0. 0.0137638981 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.516089559 *** contribution from regularisation: 0.00266700843 *** contribution from error: -0.518756568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48876.7794 0.0137638981 33.2611465 EXIT FROM BFGS code NEW_X -48876.7794 0.0137638981 33.2611465 ENTER BFGS code NEW_X -48876.7794 0.0137638981 33.2611465 EXIT FROM BFGS code FG_LNSRCH 0. 0.0347867273 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.516330242 *** contribution from regularisation: 0.00262158643 *** contribution from error: -0.518951833 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48899.5706 0.0347867273 36.5401878 EXIT FROM BFGS code NEW_X -48899.5706 0.0347867273 36.5401878 ENTER BFGS code NEW_X -48899.5706 0.0347867273 36.5401878 EXIT FROM BFGS code FG_LNSRCH 0. 0.0813446194 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.516721964 *** contribution from regularisation: 0.00257660495 *** contribution from error: -0.519298553 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48936.669 0.0813446194 17.5570393 EXIT FROM BFGS code NEW_X -48936.669 0.0813446194 17.5570393 ENTER BFGS code NEW_X -48936.669 0.0813446194 17.5570393 EXIT FROM BFGS code FG_LNSRCH 0. 0.290226847 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.518121541 *** contribution from regularisation: 0.00247827009 *** contribution from error: -0.520599782 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49069.2203 0.290226847 6.69282866 EXIT FROM BFGS code NEW_X -49069.2203 0.290226847 6.69282866 ENTER BFGS code NEW_X -49069.2203 0.290226847 6.69282866 EXIT FROM BFGS code FG_LNSRCH 0. 0.48824206 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 41.5792465 sigma out 15 active outputs RANK 2 NODE 8 --> 23.0515633 sigma out 15 active outputs RANK 3 NODE 7 --> 21.2643795 sigma out 15 active outputs RANK 4 NODE 10 --> 20.2592754 sigma out 15 active outputs RANK 5 NODE 1 --> 20.081852 sigma out 15 active outputs RANK 6 NODE 4 --> 14.0132523 sigma out 15 active outputs RANK 7 NODE 6 --> 12.6284742 sigma out 15 active outputs RANK 8 NODE 9 --> 11.8082161 sigma out 15 active outputs RANK 9 NODE 5 --> 10.4573603 sigma out 15 active outputs RANK 10 NODE 3 --> 8.41610622 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 37.3025589 sigma in 10act. ( 35.5443687 sig out 1act.) RANK 2 NODE 2 --> 30.1028938 sigma in 10act. ( 30.4466858 sig out 1act.) RANK 3 NODE 4 --> 20.7129192 sigma in 10act. ( 17.8397236 sig out 1act.) RANK 4 NODE 14 --> 19.9472942 sigma in 10act. ( 20.7432842 sig out 1act.) RANK 5 NODE 7 --> 15.0147724 sigma in 10act. ( 14.0564404 sig out 1act.) RANK 6 NODE 11 --> 14.9935713 sigma in 10act. ( 13.47925 sig out 1act.) RANK 7 NODE 12 --> 13.6013412 sigma in 10act. ( 12.0527973 sig out 1act.) RANK 8 NODE 5 --> 12.6428766 sigma in 10act. ( 12.6827955 sig out 1act.) RANK 9 NODE 10 --> 9.68831539 sigma in 10act. ( 8.46138 sig out 1act.) RANK 10 NODE 13 --> 7.77503681 sigma in 10act. ( 6.79421616 sig out 1act.) RANK 11 NODE 3 --> 7.12630177 sigma in 10act. ( 5.58284378 sig out 1act.) RANK 12 NODE 6 --> 5.90616751 sigma in 10act. ( 4.38345051 sig out 1act.) RANK 13 NODE 8 --> 4.56874132 sigma in 10act. ( 1.3934896 sig out 1act.) RANK 14 NODE 9 --> 3.91767526 sigma in 10act. ( 1.86728597 sig out 1act.) RANK 15 NODE 1 --> 2.38640976 sigma in 10act. ( 0.800490677 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 35.5443687 sigma out 1act.( 37.3025589 sig in 10act.) RANK 2 NODE 2 --> 30.4466858 sigma out 1act.( 30.1028938 sig in 10act.) RANK 3 NODE 14 --> 20.7432842 sigma out 1act.( 19.9472942 sig in 10act.) RANK 4 NODE 4 --> 17.8397236 sigma out 1act.( 20.7129192 sig in 10act.) RANK 5 NODE 7 --> 14.0564404 sigma out 1act.( 15.0147724 sig in 10act.) RANK 6 NODE 11 --> 13.47925 sigma out 1act.( 14.9935713 sig in 10act.) RANK 7 NODE 5 --> 12.6827955 sigma out 1act.( 12.6428766 sig in 10act.) RANK 8 NODE 12 --> 12.0527973 sigma out 1act.( 13.6013412 sig in 10act.) RANK 9 NODE 10 --> 8.46138 sigma out 1act.( 9.68831539 sig in 10act.) RANK 10 NODE 13 --> 6.79421616 sigma out 1act.( 7.77503681 sig in 10act.) RANK 11 NODE 3 --> 5.58284378 sigma out 1act.( 7.12630177 sig in 10act.) RANK 12 NODE 6 --> 4.38345051 sigma out 1act.( 5.90616751 sig in 10act.) RANK 13 NODE 9 --> 1.86728597 sigma out 1act.( 3.91767526 sig in 10act.) RANK 14 NODE 8 --> 1.3934896 sigma out 1act.( 4.56874132 sig in 10act.) RANK 15 NODE 1 --> 0.800490677 sigma out 1act.( 2.38640976 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 61.6323586 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.519635379 *** contribution from regularisation: 0.00269909855 *** contribution from error: -0.522334456 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -49212.5888 0.48824206 -72.1560135 EXIT FROM BFGS code NEW_X -49212.5888 0.48824206 -72.1560135 ENTER BFGS code NEW_X -49212.5888 0.48824206 -72.1560135 EXIT FROM BFGS code FG_LNSRCH 0. 0.75647676 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.520616233 *** contribution from regularisation: 0.00338332332 *** contribution from error: -0.523999572 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49305.4835 0.75647676 77.7569504 EXIT FROM BFGS code NEW_X -49305.4835 0.75647676 77.7569504 ENTER BFGS code NEW_X -49305.4835 0.75647676 77.7569504 EXIT FROM BFGS code FG_LNSRCH 0. 0.645940483 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.522926867 *** contribution from regularisation: 0.00213873037 *** contribution from error: -0.525065601 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49524.3111 0.645940483 -71.5523453 EXIT FROM BFGS code NEW_X -49524.3111 0.645940483 -71.5523453 ENTER BFGS code NEW_X -49524.3111 0.645940483 -71.5523453 EXIT FROM BFGS code FG_LNSRCH 0. 0.654791832 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.523228168 *** contribution from regularisation: 0.00247265794 *** contribution from error: -0.525700808 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49552.8474 0.654791832 -73.0780563 EXIT FROM BFGS code NEW_X -49552.8474 0.654791832 -73.0780563 ENTER BFGS code NEW_X -49552.8474 0.654791832 -73.0780563 EXIT FROM BFGS code FG_LNSRCH 0. 0.683993757 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.524725199 *** contribution from regularisation: 0.00272281538 *** contribution from error: -0.527447999 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49694.6238 0.683993757 -148.120544 EXIT FROM BFGS code NEW_X -49694.6238 0.683993757 -148.120544 ENTER BFGS code NEW_X -49694.6238 0.683993757 -148.120544 EXIT FROM BFGS code FG_LNSRCH 0. 0.585298777 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.527048647 *** contribution from regularisation: 0.00313687511 *** contribution from error: -0.530185521 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49914.6684 0.585298777 -122.971962 EXIT FROM BFGS code NEW_X -49914.6684 0.585298777 -122.971962 ENTER BFGS code NEW_X -49914.6684 0.585298777 -122.971962 EXIT FROM BFGS code FG_LNSRCH 0. 0.404627115 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.528249383 *** contribution from regularisation: 0.00354862446 *** contribution from error: -0.531798005 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50028.3833 0.404627115 -163.652863 EXIT FROM BFGS code NEW_X -50028.3833 0.404627115 -163.652863 ENTER BFGS code NEW_X -50028.3833 0.404627115 -163.652863 EXIT FROM BFGS code FG_LNSRCH 0. 0.359708369 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.529804289 *** contribution from regularisation: 0.002475827 *** contribution from error: -0.532280087 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50175.6445 0.359708369 63.6545715 EXIT FROM BFGS code NEW_X -50175.6445 0.359708369 63.6545715 ENTER BFGS code NEW_X -50175.6445 0.359708369 63.6545715 EXIT FROM BFGS code FG_LNSRCH 0. 0.369157553 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.529650986 *** contribution from regularisation: 0.00275420584 *** contribution from error: -0.532405198 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50161.1275 0.369157553 -38.0275841 EXIT FROM BFGS code FG_LNSRCH 0. 0.361313939 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.52933234 *** contribution from regularisation: 0.00299476832 *** contribution from error: -0.532327116 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50130.9484 0.361313939 46.7253227 EXIT FROM BFGS code FG_LNSRCH 0. 0.359742314 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 73.3464966 sigma out 15 active outputs RANK 2 NODE 10 --> 41.5677452 sigma out 15 active outputs RANK 3 NODE 7 --> 29.9829655 sigma out 15 active outputs RANK 4 NODE 8 --> 29.1605167 sigma out 15 active outputs RANK 5 NODE 1 --> 28.2781372 sigma out 15 active outputs RANK 6 NODE 3 --> 20.8346405 sigma out 15 active outputs RANK 7 NODE 6 --> 16.360796 sigma out 15 active outputs RANK 8 NODE 4 --> 15.8032808 sigma out 15 active outputs RANK 9 NODE 9 --> 14.1920557 sigma out 15 active outputs RANK 10 NODE 5 --> 10.699317 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 74.9186935 sigma in 10act. ( 87.2248459 sig out 1act.) RANK 2 NODE 15 --> 51.3536873 sigma in 10act. ( 44.6639366 sig out 1act.) RANK 3 NODE 7 --> 24.5723763 sigma in 10act. ( 27.5391979 sig out 1act.) RANK 4 NODE 11 --> 23.7079678 sigma in 10act. ( 27.6521835 sig out 1act.) RANK 5 NODE 14 --> 23.5573254 sigma in 10act. ( 23.1405163 sig out 1act.) RANK 6 NODE 10 --> 17.8804817 sigma in 10act. ( 20.838995 sig out 1act.) RANK 7 NODE 12 --> 13.0333357 sigma in 10act. ( 11.2839832 sig out 1act.) RANK 8 NODE 3 --> 11.9867477 sigma in 10act. ( 11.8944864 sig out 1act.) RANK 9 NODE 4 --> 10.8791914 sigma in 10act. ( 11.3688698 sig out 1act.) RANK 10 NODE 5 --> 9.44093704 sigma in 10act. ( 9.57490158 sig out 1act.) RANK 11 NODE 9 --> 7.49082661 sigma in 10act. ( 8.49524117 sig out 1act.) RANK 12 NODE 1 --> 4.71186161 sigma in 10act. ( 4.72098875 sig out 1act.) RANK 13 NODE 6 --> 4.20668697 sigma in 10act. ( 3.30959511 sig out 1act.) RANK 14 NODE 13 --> 3.31444573 sigma in 10act. ( 0.562570035 sig out 1act.) RANK 15 NODE 8 --> 2.3172226 sigma in 10act. ( 1.85031307 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 87.2248459 sigma out 1act.( 74.9186935 sig in 10act.) RANK 2 NODE 15 --> 44.6639366 sigma out 1act.( 51.3536873 sig in 10act.) RANK 3 NODE 11 --> 27.6521835 sigma out 1act.( 23.7079678 sig in 10act.) RANK 4 NODE 7 --> 27.5391979 sigma out 1act.( 24.5723763 sig in 10act.) RANK 5 NODE 14 --> 23.1405163 sigma out 1act.( 23.5573254 sig in 10act.) RANK 6 NODE 10 --> 20.838995 sigma out 1act.( 17.8804817 sig in 10act.) RANK 7 NODE 3 --> 11.8944864 sigma out 1act.( 11.9867477 sig in 10act.) RANK 8 NODE 4 --> 11.3688698 sigma out 1act.( 10.8791914 sig in 10act.) RANK 9 NODE 12 --> 11.2839832 sigma out 1act.( 13.0333357 sig in 10act.) RANK 10 NODE 5 --> 9.57490158 sigma out 1act.( 9.44093704 sig in 10act.) RANK 11 NODE 9 --> 8.49524117 sigma out 1act.( 7.49082661 sig in 10act.) RANK 12 NODE 1 --> 4.72098875 sigma out 1act.( 4.71186161 sig in 10act.) RANK 13 NODE 6 --> 3.30959511 sigma out 1act.( 4.20668697 sig in 10act.) RANK 14 NODE 8 --> 1.85031307 sigma out 1act.( 2.3172226 sig in 10act.) RANK 15 NODE 13 --> 0.562570035 sigma out 1act.( 3.31444573 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 112.670883 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.529409707 *** contribution from regularisation: 0.002871559 *** contribution from error: -0.53228128 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50138.276 0.359742314 63.9072456 EXIT FROM BFGS code FG_LNSRCH 0. 0.359708399 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.529422104 *** contribution from regularisation: 0.00285800011 *** contribution from error: -0.532280087 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50139.4504 0.359708399 64.3604126 EXIT FROM BFGS code FG_LNSRCH 0. 0.359708369 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.529407024 *** contribution from regularisation: 0.00287309731 *** contribution from error: -0.532280147 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50138.0207 0.359708369 64.4526062 EXIT FROM BFGS code FG_LNSRCH 0. 0.359708369 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.529414773 *** contribution from regularisation: 0.00286532938 *** contribution from error: -0.532280087 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50138.7563 0.359708369 64.5047073 EXIT FROM BFGS code FG_LNSRCH 0. 0.359708369 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.529414415 *** contribution from regularisation: 0.00286571542 *** contribution from error: -0.532280147 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50138.7197 0.359708369 64.5717773 EXIT FROM BFGS code NEW_X -50138.7197 0.359708369 64.5717773 ENTER BFGS code NEW_X -50138.7197 0.359708369 64.5717773 EXIT FROM BFGS code CONVERGENC -50138.7197 0.359708369 64.5717773 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 115.342781 sigma out 15 active outputs RANK 2 NODE 10 --> 64.8572769 sigma out 15 active outputs RANK 3 NODE 7 --> 47.5431099 sigma out 15 active outputs RANK 4 NODE 8 --> 45.4806786 sigma out 15 active outputs RANK 5 NODE 1 --> 44.0638924 sigma out 15 active outputs RANK 6 NODE 3 --> 32.7403221 sigma out 15 active outputs RANK 7 NODE 6 --> 25.4117012 sigma out 15 active outputs RANK 8 NODE 4 --> 24.6349144 sigma out 15 active outputs RANK 9 NODE 9 --> 22.582325 sigma out 15 active outputs RANK 10 NODE 5 --> 17.05933 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 118.29483 sigma in 10act. ( 138.387466 sig out 1act.) RANK 2 NODE 15 --> 80.5322342 sigma in 10act. ( 71.4926682 sig out 1act.) RANK 3 NODE 7 --> 39.0766945 sigma in 10act. ( 43.1051941 sig out 1act.) RANK 4 NODE 11 --> 37.444622 sigma in 10act. ( 43.7414818 sig out 1act.) RANK 5 NODE 14 --> 36.2788353 sigma in 10act. ( 37.077137 sig out 1act.) RANK 6 NODE 10 --> 28.0077553 sigma in 10act. ( 32.9223061 sig out 1act.) RANK 7 NODE 12 --> 19.020649 sigma in 10act. ( 18.2040234 sig out 1act.) RANK 8 NODE 3 --> 18.2668953 sigma in 10act. ( 19.1652775 sig out 1act.) RANK 9 NODE 4 --> 15.7394819 sigma in 10act. ( 18.2689266 sig out 1act.) RANK 10 NODE 5 --> 14.4520512 sigma in 10act. ( 15.2317781 sig out 1act.) RANK 11 NODE 9 --> 11.8009348 sigma in 10act. ( 13.5273046 sig out 1act.) RANK 12 NODE 1 --> 7.02502871 sigma in 10act. ( 7.47642326 sig out 1act.) RANK 13 NODE 6 --> 5.96086693 sigma in 10act. ( 5.1698761 sig out 1act.) RANK 14 NODE 13 --> 3.39000249 sigma in 10act. ( 0.894138634 sig out 1act.) RANK 15 NODE 8 --> 3.15515518 sigma in 10act. ( 2.86240077 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 138.387466 sigma out 1act.( 118.29483 sig in 10act.) RANK 2 NODE 15 --> 71.4926682 sigma out 1act.( 80.5322342 sig in 10act.) RANK 3 NODE 11 --> 43.7414818 sigma out 1act.( 37.444622 sig in 10act.) RANK 4 NODE 7 --> 43.1051941 sigma out 1act.( 39.0766945 sig in 10act.) RANK 5 NODE 14 --> 37.077137 sigma out 1act.( 36.2788353 sig in 10act.) RANK 6 NODE 10 --> 32.9223061 sigma out 1act.( 28.0077553 sig in 10act.) RANK 7 NODE 3 --> 19.1652775 sigma out 1act.( 18.2668953 sig in 10act.) RANK 8 NODE 4 --> 18.2689266 sigma out 1act.( 15.7394819 sig in 10act.) RANK 9 NODE 12 --> 18.2040234 sigma out 1act.( 19.020649 sig in 10act.) RANK 10 NODE 5 --> 15.2317781 sigma out 1act.( 14.4520512 sig in 10act.) RANK 11 NODE 9 --> 13.5273046 sigma out 1act.( 11.8009348 sig in 10act.) RANK 12 NODE 1 --> 7.47642326 sigma out 1act.( 7.02502871 sig in 10act.) RANK 13 NODE 6 --> 5.1698761 sigma out 1act.( 5.96086693 sig in 10act.) RANK 14 NODE 8 --> 2.86240077 sigma out 1act.( 3.15515518 sig in 10act.) RANK 15 NODE 13 --> 0.894138634 sigma out 1act.( 3.39000249 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 178.972961 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.529400051 *** contribution from regularisation: 0.00288005988 *** contribution from error: -0.532280087 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 26967 Closing output file done