NNInput NNInputs_180.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= 39463 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 = 9019 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 9019 Chosen entries: 9019 Signal fraction: 1 Background fraction: 0.296249 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 9019 Entries to split: 9019 Test with : 4509 Train with : 4509 ********************************************* * 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= 9019 for Signal Prepared event 0 for Signal with 9019 events ====Entry 0 Variable Ht : 189.172 Variable LepAPt : 33.0962 Variable LepBPt : 20.1256 Variable MetSigLeptonsJets : 10.3105 Variable MetSpec : 98.2912 Variable SumEtLeptonsJets : 90.8802 Variable VSumJetLeptonsPt : 75.3798 Variable addEt : 151.513 Variable dPhiLepSumMet : 2.57973 Variable dPhiLeptons : 0.158803 Variable dRLeptons : 0.207061 Variable lep1_E : 47.4618 Variable lep2_E : 26.3599 ===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 = 2180 Ht = 189.172 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 33.0963 LepAPt = 33.0962 LepBEt = 20.1259 LepBPt = 20.1256 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 98.2912 MetDelPhi = 2.48094 MetSig = 8.27825 MetSigLeptonsJets = 10.3105 MetSpec = 98.2912 Mjj = 0 MostCentralJetEta = -1.60711 MtllMet = 164.37 Njets = 1 SB = 0 SumEt = 140.978 SumEtJets = 0 SumEtLeptonsJets = 90.8802 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 75.3798 addEt = 151.513 dPhiLepSumMet = 2.57973 dPhiLeptons = 0.158803 dRLeptons = 0.207061 diltype = 28 dimass = 5.3502 event = 506 jet1_Et = 37.6584 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 47.4618 lep2_E = 26.3599 rand = 0.999742 run = 202041 weight = 3.10072e-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= 30444 for Background Prepared event 0 for Background with 30444 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 = 1.10267 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 30444 events Prepared event 20000 for Background with 30444 events Prepared event 30000 for Background with 30444 events Warning: found 1013 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 39463 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 1013 negative weights. Signal fraction: 62.2458878 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.9230614 62.8227882 64.6606598 67.1011047 68.4519272 70.1195755 71.7499008 73.6253357 75.1387177 76.8181915 78.1939392 79.7784271 81.2663574 82.7897797 84.5451965 85.8378143 87.5335312 89.3799057 90.8804474 92.2225876 93.7161407 94.9073944 96.3727264 97.7224579 99.1750336 100.625366 102.089401 103.61525 105.210297 106.408569 108.042725 109.564636 111.197525 112.434769 114.009201 115.430222 116.755966 118.075974 119.709145 120.932144 122.349686 123.642029 125.118469 126.67392 127.94413 129.148041 130.366119 131.648132 132.865021 134.056488 135.204849 136.553162 137.526428 138.693588 139.879303 141.271545 142.446091 143.442627 144.811218 146.121399 147.204468 148.527252 149.74472 150.881165 152.393341 153.765442 155.011993 156.272552 157.742111 159.361191 160.899048 162.709976 164.485687 166.068893 168.194534 169.826599 171.598724 173.507965 175.449768 177.608002 179.872589 182.360626 184.883728 187.734344 190.461914 193.800003 196.548553 200.056885 203.485138 207.669785 212.15274 216.708069 222.100296 228.367432 235.780945 243.537552 252.855927 269.723694 290.311096 320.962524 738.313599 ------------------------------ Transdef: Tab for variable 3 20.0021973 20.627243 21.0830803 21.4949017 21.8962784 22.360157 22.7141495 23.1330795 23.4772301 23.9005833 24.2555809 24.5690269 24.8720779 25.1707726 25.4656067 25.7848072 26.0999908 26.3517876 26.6233177 26.9383984 27.248909 27.5661812 27.9603138 28.2350922 28.5292225 28.7824993 29.0963287 29.4098969 29.6809998 30.0169296 30.317831 30.6089058 30.9109459 31.2338467 31.4785767 31.7651672 32.0482941 32.3302917 32.6087608 32.9254608 33.2383919 33.5693626 33.8965454 34.1499672 34.4352875 34.7376442 35.0499725 35.3614731 35.6513519 35.9605179 36.324131 36.6716461 36.9981346 37.3717728 37.7104645 38.0877533 38.440239 38.7691345 39.1694298 39.5095863 39.8182602 40.148941 40.5157471 40.8818359 41.2663994 41.6721115 42.0503311 42.432373 42.8579254 43.218338 43.6659851 44.0758133 44.5253448 45.0181046 45.535614 45.9898643 46.5305328 47.2049561 47.709156 48.1661072 48.5830383 49.1652832 49.6961899 50.2709274 51.0873184 51.7421227 52.508564 53.1910248 53.8944016 54.7991982 55.9635391 56.9346504 57.9757385 59.1474838 60.4245224 62.2461281 64.050087 66.7892151 71.5436554 80.7207489 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0010262 10.2439651 10.4661808 10.6482334 10.9285393 11.1439629 11.3683596 11.6477652 11.8761721 12.1197186 12.3961611 12.6617374 12.871994 13.1605339 13.392458 13.623621 13.8842564 14.1744347 14.471981 14.7255049 14.9840374 15.2002163 15.48839 15.7487545 15.9371042 16.2042561 16.47649 16.7583981 17.0620861 17.3664322 17.6780376 17.9616013 18.2191696 18.4782143 18.7908173 19.0209084 19.2781963 19.5093155 19.8401642 20.0886269 20.3019714 20.5056286 20.7410736 20.9146233 21.1212234 21.3154469 21.5207157 21.7836075 21.9908028 22.1615639 22.3774433 22.5890045 22.7706337 23.0014 23.1957207 23.4154663 23.6104507 23.7939224 24.0239029 24.2273483 24.4366913 24.6268215 24.818327 25.0623741 25.2630234 25.4909363 25.7179718 25.9606762 26.1604042 26.3247986 26.5020409 26.6992874 26.9162674 27.1390114 27.3800125 27.6425056 27.87784 28.1259117 28.403759 28.6728287 29.015316 29.2763901 29.5199165 29.8751106 30.2439919 30.5325813 30.9213409 31.3277473 31.7260437 32.1830788 32.6175003 33.1696854 33.6959991 34.2719269 34.9269333 35.9000244 36.9191589 38.316246 40.4942093 44.7161636 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.55223811 2.65851498 2.98665094 3.20622015 3.40858555 3.5514617 3.71898556 3.87530613 3.96874428 4.0611248 4.16019487 4.24924278 4.32068253 4.41827583 4.49744463 4.58396053 4.65859842 4.74776173 4.83021545 4.91598892 4.99538517 5.08682728 5.19994211 5.28552389 5.37855101 5.46815395 5.54427242 5.62138176 5.68295145 5.74741554 5.82861328 5.90082169 5.97360706 6.03974867 6.10775566 6.16063404 6.22994328 6.29624653 6.3596344 6.42865324 6.48994064 6.54654121 6.61085415 6.66549587 6.72093487 6.77490711 6.83083153 6.89043045 6.94469452 6.9999299 7.0520792 7.10387039 7.15681267 7.20609093 7.26700687 7.3271265 7.37969589 7.42622375 7.46788263 7.52026939 7.56226254 7.61721182 7.67786312 7.72100496 7.76299763 7.81070995 7.86587143 7.92648506 7.97078514 8.02920723 8.08665848 8.14081764 8.18673801 8.23958397 8.2853756 8.34460068 8.40065479 8.45875359 8.50661469 8.56469917 8.6194725 8.67602634 8.73294449 8.78904057 8.85247612 8.91344547 8.97892094 9.05247498 9.13071251 9.21985531 9.31850624 9.43329811 9.55453396 9.69626808 9.84849834 10.0302715 10.2656641 10.5954609 11.0581989 11.887537 15.1445894 ------------------------------ Transdef: Tab for variable 6 25.0005894 25.3527584 25.7393532 26.1784515 26.7083549 27.0879936 27.4698029 28.0536213 28.5569496 29.1748867 29.7883434 30.5243511 31.3245659 32.0864563 32.6334839 33.4381523 34.2749062 35.1001358 35.9086304 36.6564064 37.4703217 38.2218208 38.9329338 39.7000618 40.6023026 41.3204651 42.042984 42.7628708 43.6439285 44.2504158 45.0051346 45.5804558 46.2159195 46.6977386 47.4014969 48.0213928 48.6639023 49.3155708 49.9171791 50.4820671 51.2462769 51.8356323 52.5669365 53.238533 53.8980942 54.6647415 55.3001823 56.0467529 56.6038475 57.2628708 57.8218002 58.512886 59.3275032 59.8767395 60.5583878 61.0890007 61.7144623 62.3573761 62.9116325 63.4890747 64.1734924 64.7258606 65.3211517 65.9393616 66.5853882 67.333313 67.9057846 68.4601212 69.2184906 69.8950195 70.5616837 71.2531662 72.0352325 72.6229248 73.2848816 73.937088 74.6045914 75.3250275 75.9914551 76.8119354 77.718338 78.5306015 79.3876801 80.2225494 81.3332138 82.44207 83.543869 84.4716492 85.8656616 87.0098419 88.4315491 90.063324 91.9292603 94.90065 97.4311752 100.25621 104.765793 109.666168 116.556206 127.307419 224.17337 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.927887 35.5976562 36.5949669 37.382103 38.1849136 39.1480713 39.8914528 40.4693756 41.2781258 41.9789848 42.5769196 43.3140488 44.070961 44.6807709 45.492794 46.2652321 47.1002197 47.875 48.6489868 49.3908997 50.1688919 50.8815079 51.6764145 52.4435577 53.2179947 54.0683174 54.8519363 55.4587746 56.1468582 56.888237 57.6261902 58.5235252 59.2268181 60.0876312 60.8939285 61.6175079 62.4467239 63.0810051 63.765934 64.6381912 65.2160187 65.8484497 66.6078491 67.2920227 67.9302368 68.6712646 69.4891205 70.0843811 70.8617249 71.5028534 72.2262573 72.875679 73.5268707 74.2322617 74.9626846 75.6631622 76.3940506 77.15905 77.9987946 78.7936859 79.6124268 80.5630951 81.5090027 82.740036 83.8025665 84.8949738 85.7756958 87.3014374 88.5716095 89.7345886 91.1929398 92.9473572 94.5398788 95.8374252 97.3495483 98.9597168 100.773407 102.323914 104.358139 106.103806 108.167999 110.577034 112.919174 115.173752 117.328934 119.781715 121.601151 124.397781 128.007706 131.843842 136.030396 140.371948 145.630173 151.192413 158.076904 168.503342 180.643707 195.629364 225.75827 452.229065 ------------------------------ Transdef: Tab for variable 8 4.8643918 25.7610683 30.1292343 32.0123558 33.430809 34.5069466 35.3966522 36.0483475 36.6015701 37.2054176 37.6876717 38.3572502 38.9542274 39.5067863 40.1014557 40.647316 41.1186066 41.6795731 42.2225113 42.8126755 43.3100128 43.8808212 44.4155083 45.0003853 45.5977707 46.1431808 46.7211533 47.2910233 47.8955383 48.361805 48.9537735 49.5221596 50.1337814 50.6506119 51.1665154 51.7014389 52.2507324 52.7578735 53.2022095 53.7889862 54.3633728 55.0445442 55.5767441 56.0563889 56.5910988 57.0745926 57.6628952 58.2907448 58.9421234 59.5611916 60.1503677 60.6794167 61.2097969 61.7495117 62.3023453 62.8511353 63.3832474 63.8994446 64.4070206 64.8983612 65.3846283 65.9346924 66.5557251 67.2228394 67.7904816 68.3829651 68.9490814 69.5967026 70.1045914 70.7546768 71.2770996 71.9875946 72.4994965 73.0467987 73.7616348 74.3317795 75.0623169 75.6977692 76.3351898 77.1799088 77.8986359 78.6692429 79.500679 80.3991547 81.2694092 82.3237762 83.450386 84.5048828 85.7988739 86.9881134 88.5277405 90.2178955 92.2422028 94.3900757 97.6673889 100.993896 104.623932 110.632713 118.068985 130.610077 289.322327 ------------------------------ Transdef: Tab for variable 9 55.9230614 61.9511414 63.8261223 65.5202026 67.2219086 68.2390213 69.6154709 70.8236542 72.0499878 73.40625 74.6545563 76.1321869 77.2306366 78.4600143 79.8081055 81.0396423 82.4250793 83.7449493 84.9804153 86.0260773 87.4533844 88.6315308 90.1596375 91.4548569 92.6479034 93.8773041 94.9445953 96.0317535 97.1426544 98.3377075 99.4011841 100.8237 101.906479 103.220619 104.489479 105.627693 106.675301 107.943825 109.193665 110.467285 111.703049 112.744377 114.205276 115.261246 116.390244 117.326096 118.523857 119.851883 120.874191 121.928467 122.923088 123.985268 125.215927 126.599495 127.662521 128.577209 129.455551 130.493866 131.525513 132.54895 133.445236 134.412292 135.556305 136.467377 137.31192 138.239899 139.049927 140.196198 141.218216 142.12088 142.970123 143.725449 144.839828 145.732666 146.621063 147.60463 148.809265 149.897797 150.821503 152.096481 153.265274 154.317734 155.277908 156.457886 157.560455 158.789841 159.949524 160.960922 162.597321 163.984741 165.702789 167.47464 169.062317 171.095184 173.341614 175.811523 179.013733 182.658661 191.356689 206.190582 382.729065 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.10411525 1.42607164 1.59167397 1.73498487 1.8374002 1.93367696 2.02341628 2.08426762 2.14886618 2.20142031 2.248559 2.29541588 2.33933973 2.37935185 2.41205025 2.44053864 2.47622824 2.50266361 2.53485394 2.56193972 2.58245897 2.60486746 2.63261414 2.65471888 2.67285824 2.69460678 2.71285653 2.73082256 2.74733448 2.76432419 2.77641773 2.78967667 2.80172491 2.81367636 2.82523537 2.83781624 2.84847665 2.86087704 2.87474537 2.88335943 2.89294672 2.90248251 2.91206145 2.92157459 2.92888236 2.93741679 2.9434824 2.95133448 2.95939207 2.96436357 2.97080326 2.97605133 2.98168492 2.98728967 2.99217558 2.99966979 3.00487185 3.00923467 3.01438713 3.01990843 3.02464008 3.02870941 3.0326519 3.03610754 3.04015422 3.04361963 3.04732847 3.05077076 3.05465579 3.05819941 3.061656 3.06554699 3.06886864 3.072088 3.07540584 3.07846975 3.08152032 3.08462167 3.08758736 3.09020662 3.09311199 3.09629822 3.09912729 3.10142803 3.10398149 3.10612965 3.1086483 3.11169481 3.11396933 3.11696815 3.11953306 3.12200785 3.12423849 3.12684488 3.12881517 3.13154149 3.13413191 3.13695788 3.13923502 3.14156795 ------------------------------ Transdef: Tab for variable 11 1.71661377E-05 0.00722649693 0.0178499222 0.0251121521 0.0331724882 0.0412738025 0.0492188931 0.0555431247 0.0616146773 0.0695035458 0.0755793452 0.0819677114 0.0863536596 0.0924325734 0.0983638763 0.103780679 0.108789824 0.114450812 0.120028496 0.126423925 0.131809503 0.137613624 0.142680943 0.1475797 0.152578175 0.157211065 0.163376242 0.168644667 0.172766909 0.178783506 0.183936238 0.188596129 0.194401622 0.199181616 0.203100085 0.206808001 0.210909009 0.214660764 0.218985558 0.22173667 0.225145459 0.229388177 0.233622611 0.237039447 0.240368903 0.244561702 0.248444602 0.25241971 0.257068872 0.260995865 0.265798688 0.270055473 0.274158835 0.277854681 0.281934351 0.286559731 0.291163564 0.295480549 0.299931586 0.305013418 0.309294164 0.313993067 0.320212901 0.325104535 0.329276443 0.333508372 0.339339614 0.345743954 0.350325257 0.355514586 0.360396236 0.366893232 0.372972727 0.379361629 0.385331333 0.391549647 0.398599952 0.405312896 0.411284447 0.417495728 0.42585218 0.433711261 0.440018892 0.448717713 0.457368731 0.465979874 0.47670716 0.485756338 0.496349335 0.507698119 0.518281817 0.530620575 0.545757174 0.562049627 0.584002018 0.607949376 0.638984323 0.669014692 0.704998791 0.779224157 1.10088217 ------------------------------ Transdef: Tab for variable 12 0.200011998 0.20773387 0.212968498 0.218655646 0.223853558 0.228958756 0.233298987 0.237925828 0.24264507 0.247015685 0.251853585 0.256283194 0.260446399 0.265274972 0.269563198 0.273693025 0.277776361 0.282811999 0.287637502 0.291578174 0.295028567 0.298906863 0.302730322 0.306491405 0.310563982 0.314280123 0.317637414 0.321119905 0.324664891 0.327575356 0.330630124 0.3333067 0.337737679 0.340785384 0.344213665 0.348341614 0.352342427 0.356826782 0.360366046 0.363572627 0.367816091 0.371564746 0.375144243 0.378481746 0.382373214 0.386039168 0.389528185 0.393159449 0.39729774 0.400920957 0.404739618 0.408602893 0.411758184 0.415547609 0.41908133 0.42316699 0.426775336 0.431084752 0.435013145 0.438501626 0.442465544 0.445743531 0.450514495 0.454226583 0.458343863 0.462938815 0.467974722 0.473927796 0.480226398 0.485832214 0.490709126 0.495015204 0.50083375 0.506803274 0.511433482 0.515838861 0.521978378 0.527961731 0.534720659 0.540996909 0.547022462 0.553345203 0.560490847 0.567466378 0.574897647 0.584922612 0.592438519 0.60351181 0.61311698 0.623515904 0.637553394 0.652929544 0.665240467 0.679211736 0.695602655 0.715351164 0.741277575 0.776393294 0.809133589 0.862810612 1.12607551 ------------------------------ Transdef: Tab for variable 13 20.0516586 21.4513588 22.4407043 23.0858459 23.7067909 24.3990574 24.9582863 25.4060898 25.9530678 26.3571358 26.7925377 27.2184887 27.6071892 28.0273972 28.4198513 28.8230152 29.1692352 29.5405846 29.8577919 30.1791878 30.4957008 30.8445244 31.1528416 31.5370045 31.8930016 32.2801743 32.5762405 32.8886566 33.2030792 33.5446777 33.8901291 34.2240219 34.543396 34.8493805 35.1677284 35.5034409 35.8064003 36.1543274 36.5118523 36.8298721 37.1712723 37.521328 37.883934 38.2436523 38.6021042 38.9805145 39.3886337 39.8031769 40.1910934 40.5546494 40.9595871 41.3840752 41.8034935 42.2186356 42.5800858 42.9038467 43.2420349 43.596817 44.0297928 44.4103699 44.9023552 45.3253098 45.6919403 46.0632172 46.5562592 47.0419807 47.4742317 47.9494781 48.338768 48.8888626 49.2898026 49.8123093 50.2691994 51.0106926 51.3957405 52.0237885 52.5258331 53.2157822 53.8362503 54.3650589 55.1062775 55.9001198 56.4832611 57.2288971 58.0395203 58.9194717 59.8640823 60.7349167 62.1432419 63.3997078 64.5712128 66.059082 67.3799438 69.2778625 71.3144302 73.4604797 76.3246841 79.7592926 84.2687531 93.1959229 199.637161 ------------------------------ Transdef: Tab for variable 14 10.0161438 10.757822 11.2659121 11.6912489 12.0807552 12.4753208 12.863945 13.1120377 13.4315615 13.8303852 14.2042446 14.5624075 14.8649616 15.1495037 15.4282093 15.6820755 15.9522285 16.3377018 16.6682281 16.9913788 17.2557564 17.5574951 17.8622017 18.1511803 18.4661064 18.7676105 19.0628624 19.3820992 19.7082653 19.9877701 20.2687645 20.5354042 20.8058014 21.062582 21.3816051 21.6631622 21.8803329 22.1685753 22.3841438 22.6308708 22.9070034 23.1357059 23.4029675 23.6654644 23.8198776 24.082653 24.2992802 24.5464993 24.7610283 24.983593 25.2548447 25.4523849 25.6357861 25.9083862 26.1354008 26.4202347 26.6252956 26.8739262 27.107233 27.3183708 27.572937 27.7644463 27.9765854 28.2231903 28.5090389 28.7522202 29.009964 29.278389 29.5455971 29.8022232 30.0501423 30.2835827 30.5318546 30.778183 31.0414963 31.4036064 31.7371292 32.0667953 32.4591904 32.7805061 33.1163063 33.5284348 33.9266014 34.3443451 34.8219414 35.3202057 35.8328629 36.3338928 36.909668 37.545929 38.114399 38.8329659 39.7042923 40.4684296 41.6176224 42.8133163 44.4135284 46.4077148 49.404129 53.4565125 87.1024323 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 53.4 37.3 40.5 32.4 46.6 47.3 44.1 53.4 -15.5 -18.8 -28.3 33.7 36.3 2 53.4 100.0 64.9 54.7 38.9 72.6 94.4 74.0 89.9 -39.8 -27.1 -44.6 60.1 49.1 3 37.3 64.9 100.0 42.5 15.5 39.3 66.1 54.5 73.6 -5.8 -29.4 -51.5 92.7 37.4 4 40.5 54.7 42.5 100.0 16.4 35.3 54.4 45.4 60.4 -4.3 -32.0 -54.6 40.0 91.4 5 32.4 38.9 15.5 16.4 100.0 86.2 9.5 62.0 62.3 29.0 -9.4 -10.5 13.9 14.9 6 46.6 72.6 39.3 35.3 86.2 100.0 49.8 81.2 84.0 0.5 -18.2 -26.4 36.2 31.9 7 47.3 94.4 66.1 54.4 9.5 49.8 100.0 61.9 76.3 -51.3 -26.7 -45.8 61.4 48.9 8 44.1 74.0 54.5 45.4 62.0 81.2 61.9 100.0 84.0 -0.2 -24.4 -38.3 50.8 41.4 9 53.4 89.9 73.6 60.4 62.3 84.0 76.3 84.0 100.0 -9.8 -29.7 -49.2 68.0 54.4 10 -15.5 -39.8 -5.8 -4.3 29.0 0.5 -51.3 -0.2 -9.8 100.0 2.8 4.6 -4.7 -2.8 11 -18.8 -27.1 -29.4 -32.0 -9.4 -18.2 -26.7 -24.4 -29.7 2.8 100.0 54.9 -26.4 -30.2 12 -28.3 -44.6 -51.5 -54.6 -10.5 -26.4 -45.8 -38.3 -49.2 4.6 54.9 100.0 -47.8 -47.6 13 33.7 60.1 92.7 40.0 13.9 36.2 61.4 50.8 68.0 -4.7 -26.4 -47.8 100.0 43.2 14 36.3 49.1 37.4 91.4 14.9 31.9 48.9 41.4 54.4 -2.8 -30.2 -47.6 43.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 141.396199 TOTAL CORRELATION OF ALL VARIABLES 57.988065 ROUND 1: MAX CORR ( 57.988042) AFTER KILLING INPUT VARIABLE 8 CONTR 0.0516279575 ROUND 2: MAX CORR ( 57.98766) AFTER KILLING INPUT VARIABLE 7 CONTR 0.210490174 ROUND 3: MAX CORR ( 57.9858782) AFTER KILLING INPUT VARIABLE 14 CONTR 0.454575088 ROUND 4: MAX CORR ( 57.975798) AFTER KILLING INPUT VARIABLE 12 CONTR 1.08116176 ROUND 5: MAX CORR ( 57.9718902) AFTER KILLING INPUT VARIABLE 11 CONTR 0.673128463 ROUND 6: MAX CORR ( 57.9540316) AFTER KILLING INPUT VARIABLE 6 CONTR 1.43884596 ROUND 7: MAX CORR ( 57.9203845) AFTER KILLING INPUT VARIABLE 13 CONTR 1.9745468 ROUND 8: MAX CORR ( 57.527234) AFTER KILLING INPUT VARIABLE 10 CONTR 6.73708349 ROUND 9: MAX CORR ( 56.870041) AFTER KILLING INPUT VARIABLE 9 CONTR 8.67070305 ROUND 10: MAX CORR ( 56.7443127) AFTER KILLING INPUT VARIABLE 3 CONTR 3.77948929 ROUND 11: MAX CORR ( 55.1095647) AFTER KILLING INPUT VARIABLE 5 CONTR 13.5223112 ROUND 12: MAX CORR ( 53.440676) AFTER KILLING INPUT VARIABLE 4 CONTR 13.4595046 LAST REMAINING VARIABLE: 2 total correlation to target: 57.988065 % total significance: 49.3103172 sigma correlations of single variables to target: variable 2: 53.440676 % , in sigma: 45.443432 variable 3: 37.3121221 % , in sigma: 31.7284699 variable 4: 40.4821848 % , in sigma: 34.4241418 variable 5: 32.4405152 % , in sigma: 27.585885 variable 6: 46.6220291 % , in sigma: 39.645176 variable 7: 47.2787579 % , in sigma: 40.2036272 variable 8: 44.0776017 % , in sigma: 37.4815149 variable 9: 53.3996052 % , in sigma: 45.4085072 variable 10: -15.5300062 % , in sigma: 13.2059852 variable 11: -18.7525289 % , in sigma: 15.9462667 variable 12: -28.347436 % , in sigma: 24.1053234 variable 13: 33.7344389 % , in sigma: 28.6861768 variable 14: 36.2755439 % , in sigma: 30.8470127 variables sorted by significance: 1 most relevant variable 2 corr 53.4406776 , in sigma: 45.4434333 2 most relevant variable 4 corr 13.4595051 , in sigma: 11.4453287 3 most relevant variable 5 corr 13.5223112 , in sigma: 11.4987361 4 most relevant variable 3 corr 3.77948928 , in sigma: 3.21389953 5 most relevant variable 9 corr 8.67070293 , in sigma: 7.37315708 6 most relevant variable 10 corr 6.73708344 , in sigma: 5.7288982 7 most relevant variable 13 corr 1.97454679 , in sigma: 1.67906152 8 most relevant variable 6 corr 1.43884599 , in sigma: 1.22352681 9 most relevant variable 11 corr 0.673128486 , in sigma: 0.572396736 10 most relevant variable 12 corr 1.08116174 , in sigma: 0.919368981 11 most relevant variable 14 corr 0.454575092 , in sigma: 0.386549231 12 most relevant variable 7 corr 0.210490167 , in sigma: 0.178990917 13 most relevant variable 8 corr 0.0516279563 , in sigma: 0.0439019806 global correlations between input variables: variable 2: 99.4772941 % variable 3: 96.5519107 % variable 4: 94.9227055 % variable 5: 96.4508191 % variable 6: 96.6445122 % variable 7: 99.1982653 % variable 8: 89.4906848 % variable 9: 98.8449002 % variable 10: 75.1367102 % variable 11: 55.831492 % variable 12: 72.1418323 % variable 13: 94.7781149 % variable 14: 93.9546758 % significance loss when removing single variables: variable 2: corr = 4.84568518 % , sigma = 4.12054228 variable 3: corr = 7.91459482 % , sigma = 6.73019838 variable 4: corr = 8.20679894 % , sigma = 6.97867499 variable 5: corr = 9.3293502 % , sigma = 7.93323967 variable 6: corr = 1.33871609 % , sigma = 1.13838107 variable 7: corr = 0.170061075 % , sigma = 0.144611922 variable 8: corr = 0.0516279575 % , sigma = 0.0439019815 variable 9: corr = 7.56600462 % , sigma = 6.4337737 variable 10: corr = 6.52034065 % , sigma = 5.54459035 variable 11: corr = 1.03242565 % , sigma = 0.877926108 variable 12: corr = 1.01875461 % , sigma = 0.866300903 variable 13: corr = 1.90918472 % , sigma = 1.6234807 variable 14: corr = 0.457625946 % , sigma = 0.389143534 Keep only 6 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 7 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 12.0152264 sigma out 15 active outputs RANK 2 NODE 3 --> 9.45406723 sigma out 15 active outputs RANK 3 NODE 7 --> 8.93615913 sigma out 15 active outputs RANK 4 NODE 1 --> 8.19375992 sigma out 15 active outputs RANK 5 NODE 2 --> 8.03688526 sigma out 15 active outputs RANK 6 NODE 4 --> 7.83027363 sigma out 15 active outputs RANK 7 NODE 5 --> 7.34484625 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 10.9899607 sigma in 7act. ( 12.7880898 sig out 1act.) RANK 2 NODE 8 --> 10.4652596 sigma in 7act. ( 10.827673 sig out 1act.) RANK 3 NODE 7 --> 10.0385151 sigma in 7act. ( 11.9809523 sig out 1act.) RANK 4 NODE 12 --> 9.90459156 sigma in 7act. ( 10.3717947 sig out 1act.) RANK 5 NODE 13 --> 6.38900757 sigma in 7act. ( 6.2730093 sig out 1act.) RANK 6 NODE 4 --> 5.53127098 sigma in 7act. ( 5.59462261 sig out 1act.) RANK 7 NODE 2 --> 4.41292381 sigma in 7act. ( 4.76097107 sig out 1act.) RANK 8 NODE 6 --> 2.70325065 sigma in 7act. ( 2.69740605 sig out 1act.) RANK 9 NODE 11 --> 2.68319488 sigma in 7act. ( 2.44888234 sig out 1act.) RANK 10 NODE 10 --> 2.58588004 sigma in 7act. ( 2.12137151 sig out 1act.) RANK 11 NODE 3 --> 2.31740379 sigma in 7act. ( 2.16822863 sig out 1act.) RANK 12 NODE 5 --> 2.25971413 sigma in 7act. ( 1.78698635 sig out 1act.) RANK 13 NODE 15 --> 2.2155962 sigma in 7act. ( 2.12731028 sig out 1act.) RANK 14 NODE 14 --> 1.73166597 sigma in 7act. ( 1.54510152 sig out 1act.) RANK 15 NODE 1 --> 0.974261582 sigma in 7act. ( 0.26327914 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 12.7880898 sigma out 1act.( 10.9899607 sig in 7act.) RANK 2 NODE 7 --> 11.9809523 sigma out 1act.( 10.0385151 sig in 7act.) RANK 3 NODE 8 --> 10.827673 sigma out 1act.( 10.4652596 sig in 7act.) RANK 4 NODE 12 --> 10.3717947 sigma out 1act.( 9.90459156 sig in 7act.) RANK 5 NODE 13 --> 6.2730093 sigma out 1act.( 6.38900757 sig in 7act.) RANK 6 NODE 4 --> 5.59462261 sigma out 1act.( 5.53127098 sig in 7act.) RANK 7 NODE 2 --> 4.76097107 sigma out 1act.( 4.41292381 sig in 7act.) RANK 8 NODE 6 --> 2.69740605 sigma out 1act.( 2.70325065 sig in 7act.) RANK 9 NODE 11 --> 2.44888234 sigma out 1act.( 2.68319488 sig in 7act.) RANK 10 NODE 3 --> 2.16822863 sigma out 1act.( 2.31740379 sig in 7act.) RANK 11 NODE 15 --> 2.12731028 sigma out 1act.( 2.2155962 sig in 7act.) RANK 12 NODE 10 --> 2.12137151 sigma out 1act.( 2.58588004 sig in 7act.) RANK 13 NODE 5 --> 1.78698635 sigma out 1act.( 2.25971413 sig in 7act.) RANK 14 NODE 14 --> 1.54510152 sigma out 1act.( 1.73166597 sig in 7act.) RANK 15 NODE 1 --> 0.26327914 sigma out 1act.( 0.974261582 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 25.6487484 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 12.3081722 sigma out 15 active outputs RANK 2 NODE 6 --> 11.9678326 sigma out 15 active outputs RANK 3 NODE 3 --> 11.0879917 sigma out 15 active outputs RANK 4 NODE 4 --> 9.78769302 sigma out 15 active outputs RANK 5 NODE 1 --> 9.76411819 sigma out 15 active outputs RANK 6 NODE 7 --> 9.55069542 sigma out 15 active outputs RANK 7 NODE 5 --> 8.65794182 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 12.339119 sigma in 7act. ( 13.4876671 sig out 1act.) RANK 2 NODE 12 --> 11.8233061 sigma in 7act. ( 9.71697712 sig out 1act.) RANK 3 NODE 9 --> 10.2481861 sigma in 7act. ( 11.4028521 sig out 1act.) RANK 4 NODE 8 --> 10.2123089 sigma in 7act. ( 10.406147 sig out 1act.) RANK 5 NODE 15 --> 6.2422204 sigma in 7act. ( 2.68248463 sig out 1act.) RANK 6 NODE 13 --> 6.0881772 sigma in 7act. ( 4.3184576 sig out 1act.) RANK 7 NODE 5 --> 5.87366152 sigma in 7act. ( 1.9868263 sig out 1act.) RANK 8 NODE 1 --> 5.55005074 sigma in 7act. ( 1.25502825 sig out 1act.) RANK 9 NODE 4 --> 4.95816851 sigma in 7act. ( 4.20567799 sig out 1act.) RANK 10 NODE 2 --> 4.7870698 sigma in 7act. ( 3.9788816 sig out 1act.) RANK 11 NODE 11 --> 4.61766291 sigma in 7act. ( 2.07288623 sig out 1act.) RANK 12 NODE 10 --> 4.53955317 sigma in 7act. ( 1.22129452 sig out 1act.) RANK 13 NODE 6 --> 3.96210837 sigma in 7act. ( 3.07764268 sig out 1act.) RANK 14 NODE 14 --> 3.85506105 sigma in 7act. ( 1.36903512 sig out 1act.) RANK 15 NODE 3 --> 3.50593495 sigma in 7act. ( 1.58182585 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 13.4876671 sigma out 1act.( 12.339119 sig in 7act.) RANK 2 NODE 9 --> 11.4028521 sigma out 1act.( 10.2481861 sig in 7act.) RANK 3 NODE 8 --> 10.406147 sigma out 1act.( 10.2123089 sig in 7act.) RANK 4 NODE 12 --> 9.71697712 sigma out 1act.( 11.8233061 sig in 7act.) RANK 5 NODE 13 --> 4.3184576 sigma out 1act.( 6.0881772 sig in 7act.) RANK 6 NODE 4 --> 4.20567799 sigma out 1act.( 4.95816851 sig in 7act.) RANK 7 NODE 2 --> 3.9788816 sigma out 1act.( 4.7870698 sig in 7act.) RANK 8 NODE 6 --> 3.07764268 sigma out 1act.( 3.96210837 sig in 7act.) RANK 9 NODE 15 --> 2.68248463 sigma out 1act.( 6.2422204 sig in 7act.) RANK 10 NODE 11 --> 2.07288623 sigma out 1act.( 4.61766291 sig in 7act.) RANK 11 NODE 5 --> 1.9868263 sigma out 1act.( 5.87366152 sig in 7act.) RANK 12 NODE 3 --> 1.58182585 sigma out 1act.( 3.50593495 sig in 7act.) RANK 13 NODE 14 --> 1.36903512 sigma out 1act.( 3.85506105 sig in 7act.) RANK 14 NODE 1 --> 1.25502825 sigma out 1act.( 5.55005074 sig in 7act.) RANK 15 NODE 10 --> 1.22129452 sigma out 1act.( 4.53955317 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 24.4780121 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.421881229 *** contribution from regularisation: 0.00964633375 *** contribution from error: -0.431527555 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.47149092 *** contribution from regularisation: 0.00553483143 *** contribution from error: -0.477025747 *********************************************** -----------------> Test sample ENTER BFGS code START -9304.9603 -0.310113847 -0.166491196 EXIT FROM BFGS code FG_START 0. -0.310113847 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.48804158 *** contribution from regularisation: 0.00423840014 *** contribution from error: -0.492279977 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -9629.54815 -0.310113847 -28.9803658 EXIT FROM BFGS code FG_LNSRCH 0. -0.342953831 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.511226952 *** contribution from regularisation: 0.00661925739 *** contribution from error: -0.517846227 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10087.0191 -0.342953831 1.09312129 EXIT FROM BFGS code NEW_X -10087.0191 -0.342953831 1.09312129 ENTER BFGS code NEW_X -10087.0191 -0.342953831 1.09312129 EXIT FROM BFGS code FG_LNSRCH 0. -0.342469096 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.512857437 *** contribution from regularisation: 0.00646413909 *** contribution from error: -0.519321561 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10119.1897 -0.342469096 2.63382149 EXIT FROM BFGS code NEW_X -10119.1897 -0.342469096 2.63382149 ENTER BFGS code NEW_X -10119.1897 -0.342469096 2.63382149 EXIT FROM BFGS code FG_LNSRCH 0. -0.338974833 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.513480783 *** contribution from regularisation: 0.00625333469 *** contribution from error: -0.519734144 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10131.4898 -0.338974833 4.02024412 EXIT FROM BFGS code NEW_X -10131.4898 -0.338974833 4.02024412 ENTER BFGS code NEW_X -10131.4898 -0.338974833 4.02024412 EXIT FROM BFGS code FG_LNSRCH 0. -0.325606108 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.513796449 *** contribution from regularisation: 0.00605526241 *** contribution from error: -0.519851685 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10137.718 -0.325606108 6.00725889 EXIT FROM BFGS code NEW_X -10137.718 -0.325606108 6.00725889 ENTER BFGS code NEW_X -10137.718 -0.325606108 6.00725889 EXIT FROM BFGS code FG_LNSRCH 0. -0.304982394 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.513886154 *** contribution from regularisation: 0.00595810032 *** contribution from error: -0.519844234 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10139.4873 -0.304982394 5.92534208 EXIT FROM BFGS code NEW_X -10139.4873 -0.304982394 5.92534208 ENTER BFGS code NEW_X -10139.4873 -0.304982394 5.92534208 EXIT FROM BFGS code FG_LNSRCH 0. -0.0914824009 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.513819814 *** contribution from regularisation: 0.003765753 *** contribution from error: -0.517585576 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10138.1785 -0.0914824009 0.680777729 EXIT FROM BFGS code FG_LNSRCH 0. -0.212364122 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 17.3213387 sigma out 15 active outputs RANK 2 NODE 3 --> 10.623395 sigma out 15 active outputs RANK 3 NODE 1 --> 9.24831009 sigma out 15 active outputs RANK 4 NODE 4 --> 6.4420414 sigma out 15 active outputs RANK 5 NODE 7 --> 5.90611362 sigma out 15 active outputs RANK 6 NODE 6 --> 4.85679054 sigma out 15 active outputs RANK 7 NODE 5 --> 4.44845533 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 9.97008896 sigma in 7act. ( 7.36608839 sig out 1act.) RANK 2 NODE 7 --> 9.83634281 sigma in 7act. ( 7.57441378 sig out 1act.) RANK 3 NODE 5 --> 9.38465691 sigma in 7act. ( 6.51314926 sig out 1act.) RANK 4 NODE 1 --> 9.11265373 sigma in 7act. ( 6.65620708 sig out 1act.) RANK 5 NODE 6 --> 6.9694891 sigma in 7act. ( 4.23679686 sig out 1act.) RANK 6 NODE 11 --> 6.53807545 sigma in 7act. ( 3.74195671 sig out 1act.) RANK 7 NODE 8 --> 5.75274992 sigma in 7act. ( 3.73490238 sig out 1act.) RANK 8 NODE 9 --> 5.72464085 sigma in 7act. ( 3.17367291 sig out 1act.) RANK 9 NODE 15 --> 5.45575953 sigma in 7act. ( 2.02470851 sig out 1act.) RANK 10 NODE 13 --> 3.78725958 sigma in 7act. ( 2.28183341 sig out 1act.) RANK 11 NODE 14 --> 3.63466311 sigma in 7act. ( 1.24520588 sig out 1act.) RANK 12 NODE 10 --> 3.52952266 sigma in 7act. ( 0.509686649 sig out 1act.) RANK 13 NODE 2 --> 3.03235745 sigma in 7act. ( 0.925315738 sig out 1act.) RANK 14 NODE 4 --> 2.72065783 sigma in 7act. ( 0.899799764 sig out 1act.) RANK 15 NODE 3 --> 2.71058631 sigma in 7act. ( 0.452677339 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 7.57441378 sigma out 1act.( 9.83634281 sig in 7act.) RANK 2 NODE 12 --> 7.36608839 sigma out 1act.( 9.97008896 sig in 7act.) RANK 3 NODE 1 --> 6.65620708 sigma out 1act.( 9.11265373 sig in 7act.) RANK 4 NODE 5 --> 6.51314926 sigma out 1act.( 9.38465691 sig in 7act.) RANK 5 NODE 6 --> 4.23679686 sigma out 1act.( 6.9694891 sig in 7act.) RANK 6 NODE 11 --> 3.74195671 sigma out 1act.( 6.53807545 sig in 7act.) RANK 7 NODE 8 --> 3.73490238 sigma out 1act.( 5.75274992 sig in 7act.) RANK 8 NODE 9 --> 3.17367291 sigma out 1act.( 5.72464085 sig in 7act.) RANK 9 NODE 13 --> 2.28183341 sigma out 1act.( 3.78725958 sig in 7act.) RANK 10 NODE 15 --> 2.02470851 sigma out 1act.( 5.45575953 sig in 7act.) RANK 11 NODE 14 --> 1.24520588 sigma out 1act.( 3.63466311 sig in 7act.) RANK 12 NODE 2 --> 0.925315738 sigma out 1act.( 3.03235745 sig in 7act.) RANK 13 NODE 4 --> 0.899799764 sigma out 1act.( 2.72065783 sig in 7act.) RANK 14 NODE 10 --> 0.509686649 sigma out 1act.( 3.52952266 sig in 7act.) RANK 15 NODE 3 --> 0.452677339 sigma out 1act.( 2.71058631 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.3498898 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.510207653 *** contribution from regularisation: 0.00942725316 *** contribution from error: -0.519634902 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -10066.9077 -0.212364122 4.73105574 EXIT FROM BFGS code FG_LNSRCH 0. -0.297317803 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.513337553 *** contribution from regularisation: 0.00652358914 *** contribution from error: -0.519861162 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10128.6627 -0.297317803 5.4421258 EXIT FROM BFGS code FG_LNSRCH 0. -0.304597527 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.513551176 *** contribution from regularisation: 0.00629411498 *** contribution from error: -0.519845307 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10132.8784 -0.304597527 5.90023327 EXIT FROM BFGS code FG_LNSRCH 0. -0.304980367 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.513564289 *** contribution from regularisation: 0.00627997704 *** contribution from error: -0.519844294 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10133.1365 -0.304980367 5.7119379 EXIT FROM BFGS code FG_LNSRCH 0. -0.304982394 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.513601243 *** contribution from regularisation: 0.00624300214 *** contribution from error: -0.519844234 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10133.8659 -0.304982394 5.80911684 EXIT FROM BFGS code FG_LNSRCH 0. -0.304982394 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.513534844 *** contribution from regularisation: 0.00630938075 *** contribution from error: -0.519844234 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10132.5562 -0.304982394 5.79058886 EXIT FROM BFGS code FG_LNSRCH 0. -0.304982394 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.51358968 *** contribution from regularisation: 0.00625456637 *** contribution from error: -0.519844234 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10133.6377 -0.304982394 5.81569958 EXIT FROM BFGS code FG_LNSRCH 0. -0.304982394 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.513569295 *** contribution from regularisation: 0.00627492834 *** contribution from error: -0.519844234 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10133.2359 -0.304982394 5.77613831 EXIT FROM BFGS code NEW_X -10133.2359 -0.304982394 5.77613831 ENTER BFGS code NEW_X -10133.2359 -0.304982394 5.77613831 EXIT FROM BFGS code CONVERGENC -10133.2359 -0.304982394 5.77613831 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 20.455946 sigma out 15 active outputs RANK 2 NODE 1 --> 14.166625 sigma out 15 active outputs RANK 3 NODE 3 --> 13.8203173 sigma out 15 active outputs RANK 4 NODE 7 --> 9.96962357 sigma out 15 active outputs RANK 5 NODE 6 --> 9.4673624 sigma out 15 active outputs RANK 6 NODE 4 --> 8.76914597 sigma out 15 active outputs RANK 7 NODE 5 --> 6.85029554 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 16.3561554 sigma in 7act. ( 16.2292347 sig out 1act.) RANK 2 NODE 5 --> 13.0970201 sigma in 7act. ( 10.7651844 sig out 1act.) RANK 3 NODE 12 --> 12.6216974 sigma in 7act. ( 11.578723 sig out 1act.) RANK 4 NODE 1 --> 12.2409811 sigma in 7act. ( 11.5892391 sig out 1act.) RANK 5 NODE 8 --> 9.42520809 sigma in 7act. ( 8.92301178 sig out 1act.) RANK 6 NODE 6 --> 8.26353359 sigma in 7act. ( 6.8933115 sig out 1act.) RANK 7 NODE 9 --> 7.71669388 sigma in 7act. ( 7.22888184 sig out 1act.) RANK 8 NODE 11 --> 6.8284111 sigma in 7act. ( 5.51832581 sig out 1act.) RANK 9 NODE 15 --> 6.65453815 sigma in 7act. ( 5.58023548 sig out 1act.) RANK 10 NODE 14 --> 3.83622861 sigma in 7act. ( 2.76473594 sig out 1act.) RANK 11 NODE 13 --> 3.72811103 sigma in 7act. ( 2.61057758 sig out 1act.) RANK 12 NODE 2 --> 3.60909247 sigma in 7act. ( 2.69658637 sig out 1act.) RANK 13 NODE 10 --> 3.24934721 sigma in 7act. ( 1.10618162 sig out 1act.) RANK 14 NODE 4 --> 2.94443083 sigma in 7act. ( 2.19782805 sig out 1act.) RANK 15 NODE 3 --> 2.51744246 sigma in 7act. ( 1.08841729 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 16.2292347 sigma out 1act.( 16.3561554 sig in 7act.) RANK 2 NODE 1 --> 11.5892391 sigma out 1act.( 12.2409811 sig in 7act.) RANK 3 NODE 12 --> 11.578723 sigma out 1act.( 12.6216974 sig in 7act.) RANK 4 NODE 5 --> 10.7651844 sigma out 1act.( 13.0970201 sig in 7act.) RANK 5 NODE 8 --> 8.92301178 sigma out 1act.( 9.42520809 sig in 7act.) RANK 6 NODE 9 --> 7.22888184 sigma out 1act.( 7.71669388 sig in 7act.) RANK 7 NODE 6 --> 6.8933115 sigma out 1act.( 8.26353359 sig in 7act.) RANK 8 NODE 15 --> 5.58023548 sigma out 1act.( 6.65453815 sig in 7act.) RANK 9 NODE 11 --> 5.51832581 sigma out 1act.( 6.8284111 sig in 7act.) RANK 10 NODE 14 --> 2.76473594 sigma out 1act.( 3.83622861 sig in 7act.) RANK 11 NODE 2 --> 2.69658637 sigma out 1act.( 3.60909247 sig in 7act.) RANK 12 NODE 13 --> 2.61057758 sigma out 1act.( 3.72811103 sig in 7act.) RANK 13 NODE 4 --> 2.19782805 sigma out 1act.( 2.94443083 sig in 7act.) RANK 14 NODE 10 --> 1.10618162 sigma out 1act.( 3.24934721 sig in 7act.) RANK 15 NODE 3 --> 1.08841729 sigma out 1act.( 2.51744246 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 30.2920647 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.513553143 *** contribution from regularisation: 0.00629110122 *** contribution from error: -0.519844234 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done