NNInput NNInputs_150.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= 41434 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 = 10990 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 10990 Chosen entries: 10990 Signal fraction: 1 Background fraction: 0.360991 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 10990 Entries to split: 10990 Test with : 5495 Train with : 5495 ********************************************* * 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= 10990 for Signal Prepared event 0 for Signal with 10990 events ====Entry 0 Variable Ht : 259.272 Variable LepAPt : 21.304 Variable LepBPt : 18.1925 Variable MetSigLeptonsJets : 11.6436 Variable MetSpec : 131.575 Variable SumEtLeptonsJets : 127.696 Variable VSumJetLeptonsPt : 125.276 Variable addEt : 171.073 Variable dPhiLepSumMet : 2.90356 Variable dPhiLeptons : 0.238042 Variable dRLeptons : 0.755937 Variable lep1_E : 22.4633 Variable lep2_E : 29.0826 ===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 = 2150 Ht = 259.272 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 21.3045 LepAPt = 21.304 LepBEt = 18.1927 LepBPt = 18.1925 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 131.575 MetDelPhi = 2.77512 MetSig = 9.36686 MetSigLeptonsJets = 11.6436 MetSpec = 131.575 Mjj = 0 MostCentralJetEta = 1.05339 MtllMet = 180.679 Njets = 1 SB = 0 SumEt = 197.316 SumEtJets = 0 SumEtLeptonsJets = 127.696 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 125.276 addEt = 171.073 dPhiLepSumMet = 2.90356 dPhiLeptons = 0.238042 dRLeptons = 0.755937 diltype = 22 dimass = 15.1709 event = 533 jet1_Et = 88.1991 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 22.4633 lep2_E = 29.0826 rand = 0.999742 run = 167186 weight = 3.29546e-06 ===Show End Prepared event 10000 for Signal with 10990 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= 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 = 1.35376 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 1016 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 41434 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 1016 negative weights. Signal fraction: 62.4787407 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 56.5310211 62.5270767 64.0714111 66.4922409 68.1453857 69.8231049 71.2797546 72.7120361 74.2044296 75.8200607 77.3852997 78.8302002 79.9947586 81.4538879 83.0795746 84.7432098 85.9842987 87.4925995 89.0600281 90.647583 91.8488007 93.0106888 94.0587692 95.0860748 96.3161926 97.6713409 98.9613342 100.102295 101.150024 102.255234 103.605286 104.82608 106.034256 107.157791 108.321808 109.460022 110.478027 111.559891 112.735535 113.82222 115.001755 116.283119 117.55735 118.966614 120.053764 121.023277 121.992599 122.99704 124.012947 125.020485 125.944298 127.082672 128.219452 129.256866 130.184143 131.44165 132.610474 133.647232 134.617264 135.757843 136.751038 137.732361 138.783798 139.784012 140.82019 142.064392 143.163025 144.43399 145.78894 147.031723 148.174622 149.601974 151.02124 152.635101 154.317581 156.31076 158.48465 160.31842 162.428848 164.600311 166.93988 169.482239 171.777542 174.458405 176.987701 179.773331 182.814178 186.343307 190.451569 193.992325 199.341553 204.28746 209.741684 217.906082 224.701752 232.083267 240.702118 252.237427 275.476746 312.808533 679.506348 ------------------------------ Transdef: Tab for variable 3 20.0021973 20.4867516 20.8437881 21.2346058 21.5632248 22.0025043 22.3490181 22.6309395 22.9441681 23.2294884 23.5566578 23.8972397 24.2205734 24.5133839 24.824604 25.0575962 25.3256264 25.62994 25.9191513 26.1906509 26.4127312 26.7309036 27.0133324 27.2617989 27.523407 27.8240318 28.0869389 28.3029442 28.5892258 28.7877388 29.0053635 29.2854805 29.5237293 29.7840385 30.0556641 30.3022919 30.5425034 30.7715778 31.0175056 31.2390556 31.474205 31.7879486 32.0385895 32.246666 32.4976196 32.7397232 33.0238647 33.2733231 33.5078545 33.753212 34.0616379 34.3087845 34.5883942 34.8389549 35.1062851 35.3318405 35.6235046 35.8765335 36.1806564 36.4223862 36.6933136 36.9533157 37.2293243 37.5416946 37.8006821 38.0919189 38.3488312 38.5986786 38.9964676 39.2235222 39.5130768 39.8174324 40.1047058 40.4571266 40.8539658 41.2118645 41.5878067 41.9383469 42.3153305 42.7928925 43.2213402 43.6124802 44.1318283 44.6024742 45.1093063 45.710804 46.3234711 47.0033188 47.6883163 48.5253029 49.4459534 50.487442 51.5516434 52.9565582 54.3761253 56.2082901 58.4092903 60.6615105 64.4573593 71.1773071 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0029955 10.2080612 10.3962135 10.5976715 10.8231897 11.0774775 11.2784195 11.5072498 11.7408104 11.976615 12.2280674 12.5004625 12.6770382 12.8835125 13.1505051 13.3669777 13.5232716 13.719943 13.9295006 14.1394758 14.3757362 14.5838432 14.8476334 15.0882998 15.310955 15.554678 15.7884216 16.0463772 16.2998772 16.5974159 16.8057442 17.0560474 17.2683601 17.5030479 17.7386436 17.9466705 18.1922417 18.4671459 18.7135124 18.9816132 19.201992 19.4728737 19.6882591 19.9499855 20.1721687 20.3963356 20.5723724 20.7506104 20.932745 21.1413879 21.3413925 21.5784187 21.756752 21.9424801 22.1418686 22.3524303 22.5523872 22.7520561 22.9499741 23.1930466 23.4442062 23.6642456 23.8520851 24.0661354 24.3012619 24.5462761 24.8041725 25.0330334 25.2258835 25.484024 25.749382 26.0444965 26.3029633 26.5492096 26.7963562 27.0629158 27.2958012 27.5810013 27.8519077 28.1902008 28.5262718 28.8199291 29.1430702 29.5029411 29.9045238 30.2270908 30.5833244 30.9720764 31.4580669 31.867157 32.3838654 32.9738503 33.5836029 34.0982819 34.8690567 35.6045532 36.8015289 38.8776093 40.9675751 45.3879929 71.0537567 ------------------------------ Transdef: Tab for variable 5 1.55223811 2.6521616 2.95725417 3.1793189 3.36361122 3.51663327 3.64880037 3.78266239 3.90665865 3.98803043 4.07035732 4.17581272 4.26868725 4.34779072 4.43848515 4.5119009 4.58678579 4.66854095 4.73453999 4.81272221 4.8664794 4.95827866 5.04612017 5.13223457 5.2130537 5.278368 5.34295368 5.39819527 5.4698658 5.54451275 5.61865425 5.69040108 5.75647545 5.82430935 5.88897705 5.96072388 6.02554989 6.08297443 6.14458609 6.21559238 6.26651096 6.32330465 6.37964249 6.4505415 6.51160192 6.559062 6.6088686 6.6541357 6.70433807 6.75027847 6.79863262 6.85410595 6.89772034 6.94069767 6.99239731 7.04219484 7.09493828 7.14652109 7.19042683 7.24045801 7.28948593 7.33719254 7.37657833 7.41624832 7.45819664 7.50323391 7.54280138 7.58649206 7.62791061 7.67380524 7.72526264 7.76092148 7.80991077 7.85406017 7.8944726 7.94323921 7.99818897 8.04747963 8.08930588 8.14412498 8.19397926 8.2434206 8.29754257 8.36471367 8.44628334 8.5052166 8.57087994 8.64144135 8.70403099 8.78366661 8.8698597 8.95321465 9.06996727 9.20140648 9.34275627 9.50899982 9.72311783 9.97495842 10.4204292 11.1479836 15.5453568 ------------------------------ Transdef: Tab for variable 6 25.0033016 25.324604 25.685524 26.152298 26.6367645 27.0861549 27.4698029 27.9830589 28.4853935 28.9417114 29.5869865 30.2622948 30.9775772 31.5820351 32.2135162 32.8147278 33.5502853 34.2284622 35.0338631 35.7291069 36.3557129 37.074707 37.7011337 38.5047302 39.1750183 39.8443069 40.5670013 41.2906494 41.8220596 42.3479652 42.9774857 43.6257172 44.1109085 44.7082596 45.2750015 45.8679237 46.435112 47.0257874 47.7161331 48.288353 48.7817268 49.3664932 49.8922958 50.5082359 51.0504684 51.6000328 52.2731857 52.7739944 53.3229523 53.8141327 54.3156815 54.9084816 55.3895493 55.9276695 56.4719543 57.0613403 57.5818748 58.1439285 58.6423111 59.1608047 59.6867943 60.206955 60.7114792 61.1867065 61.7518997 62.2409286 62.7481575 63.213459 63.6822968 64.1877365 64.7913666 65.3627625 65.9120636 66.4724884 67.0738983 67.7967224 68.4393692 68.9723206 69.4616241 70.0950699 70.7473145 71.5221558 72.2054825 72.8899231 73.6528168 74.5002747 75.3569336 76.3003311 77.4078522 78.6655884 80.0682526 81.8674774 83.5744858 85.5939941 88.0230865 90.8076782 94.1904755 99.0375595 105.427902 116.646439 203.398682 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.5849113 35.0412025 35.9280014 36.7703323 37.5528183 38.3806267 39.2686844 39.9655228 40.7396774 41.4493637 42.0052223 42.5698776 43.2272072 43.9219589 44.59729 45.2692642 45.991684 46.6303177 47.3609772 48.045002 48.5444756 49.2899666 49.8610153 50.543438 51.2026138 51.8350906 52.452755 53.1140518 53.6645927 54.3971977 54.9690285 55.6895485 56.2544174 56.9394798 57.6013641 58.2176361 58.8339157 59.4811172 60.0205994 60.7253647 61.3688126 61.9197922 62.5239601 63.0901413 63.7898254 64.4394302 64.9107666 65.5628433 66.2054596 66.7881241 67.3081818 67.9760437 68.5832291 69.227829 69.7656631 70.4245911 71.1102448 71.7830963 72.4806976 73.2622223 74.0267181 74.8809433 75.8201828 76.6683197 77.6317749 78.8672562 80.026825 81.3582077 82.6617889 84.0699158 85.427063 86.6436615 88.1263199 89.3521576 91.1799927 92.9571075 94.5409775 96.1888123 97.8430328 99.4762115 101.639374 103.374741 105.615166 108.34346 111.291687 114.119553 117.225098 120.602135 123.879654 127.851089 131.908295 136.789886 142.680725 149.187012 156.325165 165.295807 175.328278 191.876587 218.728394 422.120178 ------------------------------ Transdef: Tab for variable 8 4.74052763 24.023468 29.0167427 31.1492271 32.4127579 33.3988876 34.468811 35.0796432 35.6393814 36.2052765 36.8491898 37.3223038 37.8772049 38.5115509 39.243763 39.7034416 40.2450409 40.6946793 41.1549339 41.6665878 42.1225319 42.5671921 43.0259933 43.5799942 44.0694809 44.5350304 45.0723343 45.6180153 46.1717072 46.6490326 47.1443176 47.6064911 48.0082092 48.4326477 48.962532 49.4181061 49.8394852 50.2752686 50.7313423 51.2264099 51.7511139 52.2502708 52.6508331 53.0766449 53.6123962 54.0544281 54.6111298 55.0618515 55.4796753 55.9506607 56.4725113 56.9211884 57.4116745 57.8183975 58.2626953 58.7264786 59.2041931 59.741478 60.1554794 60.6627274 61.2133102 61.5763397 62.031662 62.5549774 63.0777817 63.5647087 64.0949402 64.5985565 65.0846252 65.5986404 66.0571594 66.5088196 67.0664062 67.5579529 68.04245 68.5576706 69.1042328 69.6531906 70.2047958 70.8049927 71.419693 72.0411224 72.7115326 73.4259644 74.3020859 75.1266937 76.0952225 76.9925003 78.11026 79.2917099 80.5248032 82.4178467 84.8034592 87.315094 89.8871765 93.1169281 96.9406433 101.623268 108.386192 120.475357 289.322327 ------------------------------ Transdef: Tab for variable 9 56.2898216 61.7370911 63.7673569 65.2164307 66.8953781 68.190918 69.4941559 70.6412888 71.7150955 72.944809 74.1610413 75.3570099 76.5567245 77.8475037 79.0064011 79.923584 81.1446686 82.3552704 83.6598663 84.6929169 85.6402588 86.7371597 87.9222412 88.9539948 90.0810089 91.013237 91.9628448 93.019783 93.7848969 94.6526031 95.5856171 96.5990295 97.5619354 98.598938 99.5438385 100.540031 101.664597 102.623199 103.568588 104.572098 105.458023 106.410629 107.32164 108.321808 109.134712 110.104774 110.875351 111.79702 112.747772 113.512642 114.365509 115.410934 116.274368 117.324715 118.055626 119.180931 120.041534 120.817657 121.751038 122.560577 123.363724 124.269318 125.008148 125.815338 126.7491 127.615219 128.372574 129.136139 130.028168 131.09137 131.886932 132.712524 133.54306 134.324524 135.086945 135.986389 136.828857 137.667953 138.485901 139.286316 140.135193 141.05011 141.929443 142.935562 143.86174 144.805145 145.702606 146.650192 147.896179 149.083221 150.411346 151.677673 153.575073 155.583435 157.991394 160.910522 164.425201 170.600555 179.373108 196.595062 382.729065 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.02613735 1.29501939 1.48305583 1.63999319 1.73615813 1.832165 1.91738749 1.98637557 2.05202961 2.11352682 2.17268205 2.22321081 2.26825285 2.31569529 2.36293364 2.3947444 2.425951 2.45381761 2.48429918 2.50816727 2.53644323 2.56264687 2.59020185 2.61509418 2.64045858 2.66412044 2.6883812 2.70351076 2.72145414 2.73760462 2.75432682 2.77064848 2.78278971 2.79673696 2.8108058 2.82326651 2.83230877 2.84547138 2.85683918 2.864923 2.87504101 2.8861804 2.89554191 2.90377712 2.91248608 2.92208028 2.93260813 2.93980122 2.94783568 2.95502949 2.96163392 2.967875 2.97370052 2.97941637 2.98538303 2.99130201 2.99645138 3.00289893 3.00762892 3.0122757 3.01670313 3.02121973 3.02603507 3.03034401 3.03514814 3.03955007 3.0438509 3.0481081 3.05201149 3.05504942 3.05865836 3.06201482 3.06568289 3.0697372 3.07245016 3.07588196 3.07856488 3.08141518 3.08414698 3.08687353 3.09021807 3.0933373 3.09625077 3.09865928 3.10146856 3.10424232 3.10720587 3.1098516 3.11286163 3.11541128 3.11760879 3.12014151 3.12227583 3.12501812 3.1275444 3.13047218 3.13301849 3.13617086 3.13904476 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.71661377E-05 0.00952744484 0.0189561844 0.0284613371 0.0357593298 0.0428718776 0.0500743426 0.0565953702 0.0628228188 0.071144104 0.0774198472 0.0830068588 0.0889625475 0.0954284072 0.101825804 0.108510196 0.11528939 0.121688932 0.128991127 0.135019839 0.13962701 0.144827336 0.14873898 0.1542961 0.161176622 0.166729808 0.172161579 0.17845273 0.18419385 0.190224588 0.194958404 0.199715346 0.203745246 0.207428262 0.212381303 0.216804862 0.221062005 0.225135565 0.22942698 0.233570814 0.237645149 0.241348326 0.245777696 0.250401348 0.254945636 0.259188652 0.263181925 0.267787993 0.272541046 0.276719779 0.281493664 0.285987914 0.291153789 0.2958951 0.300151467 0.304172397 0.308689296 0.313943624 0.318823189 0.323490381 0.328364134 0.333580256 0.338864267 0.344167709 0.349492967 0.354469121 0.359054208 0.364536524 0.370233595 0.37577498 0.38182044 0.388569951 0.394707322 0.400685549 0.406422913 0.411094308 0.418012738 0.424024343 0.430532753 0.438120842 0.444513679 0.451113462 0.459174275 0.467466474 0.476281404 0.484285414 0.495130599 0.506206155 0.515671849 0.528134584 0.542102814 0.554063797 0.572327495 0.58843112 0.60891062 0.633284092 0.660324693 0.691087723 0.737791896 0.818492413 1.12525487 ------------------------------ Transdef: Tab for variable 12 0.200070545 0.205988705 0.211517662 0.218308449 0.22400412 0.230277047 0.236290053 0.242179349 0.247687399 0.253025115 0.259010702 0.264133573 0.269282877 0.273868322 0.278716356 0.283784091 0.288499177 0.292699277 0.297035307 0.301948249 0.306428671 0.309880316 0.314300478 0.318357706 0.322556138 0.327634275 0.331191659 0.33615306 0.340017498 0.343492568 0.347585082 0.352331072 0.355995476 0.360347927 0.364171237 0.368065447 0.37208879 0.375232249 0.379071474 0.38279447 0.386921585 0.390926421 0.394630343 0.398952395 0.402380884 0.406730622 0.410497129 0.41453895 0.418191016 0.422605038 0.426183552 0.430255055 0.434171885 0.438386738 0.442235738 0.446118861 0.450298727 0.453147382 0.457045615 0.461133093 0.465494633 0.469766021 0.474260688 0.478267789 0.482320547 0.487897187 0.492113233 0.497632742 0.502571166 0.507763207 0.513646483 0.518201292 0.52361989 0.528978646 0.533811927 0.539788485 0.545378625 0.550655425 0.555750012 0.563377023 0.571219027 0.578637898 0.586763144 0.596045852 0.605252385 0.614510596 0.623631537 0.63121736 0.643340945 0.651219249 0.661623299 0.674687386 0.686577678 0.701833129 0.719317675 0.741629958 0.770731807 0.799080968 0.840376496 0.895909429 1.12845647 ------------------------------ Transdef: Tab for variable 13 20.0516586 21.3343735 22.1766319 22.6865845 23.2996883 23.716383 24.2134094 24.7044792 25.0376549 25.4024239 25.8773804 26.217308 26.6516991 27.1169338 27.4554749 27.8216629 28.2027893 28.5161438 28.8227844 29.168911 29.5208817 29.8913975 30.182045 30.4831219 30.7610264 31.0016785 31.2641907 31.5411186 31.8890495 32.2206116 32.5136032 32.8418121 33.1205673 33.318634 33.5783463 33.8505478 34.1832657 34.4875908 34.8282166 35.1302299 35.4110947 35.6622467 35.9709396 36.2803192 36.5470886 36.8417053 37.0883369 37.4023209 37.7073212 38.0133133 38.2695618 38.5636597 38.8756485 39.2256165 39.521347 39.8397217 40.1278801 40.4268723 40.7277222 41.0213776 41.3214417 41.6261368 41.9613075 42.2360802 42.5567398 42.8655434 43.2288322 43.5782242 43.9284706 44.3162308 44.7506866 45.1324272 45.5932961 46.0216293 46.4190178 46.9039154 47.2874146 47.7087555 48.1879425 48.8420258 49.3785782 49.9846039 50.6465302 51.3531494 52.065094 52.7440643 53.5141525 54.4867859 55.3530045 56.2910347 57.2914963 58.5683441 60.0443649 61.391758 63.2075081 65.4058685 68.2127075 71.0405273 75.2874298 84.912323 201.326797 ------------------------------ Transdef: Tab for variable 14 10.0325336 10.7604637 11.2590046 11.6579132 12.0101585 12.2772388 12.6494665 12.9287367 13.2852097 13.6369915 13.957407 14.2352962 14.5083942 14.7740593 15.0736876 15.3337803 15.5757961 15.8541698 16.0951805 16.3229313 16.5751171 16.8412704 17.1372223 17.3670769 17.7169533 18.0009308 18.2651825 18.5334244 18.8376331 19.1017723 19.4137516 19.7138977 19.9780731 20.2246704 20.5147667 20.7356567 20.975069 21.1940098 21.4449844 21.6952457 21.9685097 22.1500301 22.3741608 22.6040554 22.8500214 23.1062298 23.3546085 23.617836 23.8166504 24.0540981 24.2886086 24.4987583 24.7827301 25.0227928 25.2708549 25.473074 25.6653824 25.9124146 26.1646805 26.3811989 26.6904106 26.9734039 27.21978 27.4909973 27.7412243 28.0378456 28.3076973 28.5713921 28.823679 29.1332741 29.4110565 29.6785564 29.9819756 30.2935333 30.6635838 31.0326462 31.3733673 31.7461033 32.1130219 32.5194321 32.9144058 33.3492203 33.7567787 34.1285934 34.5413284 34.9950371 35.5358124 36.0186157 36.6501579 37.352211 38.0309525 38.7791252 39.7249603 40.556015 41.5898399 42.9368057 44.307476 46.059391 48.8443947 53.3021812 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 45.9 23.9 35.0 23.0 38.1 40.1 33.6 43.3 -18.3 -12.1 -19.8 20.6 31.0 2 45.9 100.0 60.4 54.1 30.4 68.6 94.4 69.2 88.8 -42.9 -23.4 -40.2 54.7 48.1 3 23.9 60.4 100.0 39.6 4.3 30.3 62.6 46.6 68.4 -8.0 -26.9 -48.5 91.2 34.2 4 35.0 54.1 39.6 100.0 12.1 34.0 53.3 44.7 62.4 -4.2 -29.6 -54.3 36.6 91.1 5 23.0 30.4 4.3 12.1 100.0 84.0 0.9 55.5 56.4 30.8 -6.5 -4.3 3.3 10.9 6 38.1 68.6 30.3 34.0 84.0 100.0 45.2 77.5 81.7 0.3 -15.2 -21.2 27.1 30.5 7 40.1 94.4 62.6 53.3 0.9 45.2 100.0 58.1 75.0 -53.3 -23.1 -41.8 57.0 47.3 8 33.6 69.2 46.6 44.7 55.5 77.5 58.1 100.0 80.3 -0.7 -22.2 -34.7 42.3 39.9 9 43.3 88.8 68.4 62.4 56.4 81.7 75.0 80.3 100.0 -12.2 -27.2 -46.4 62.2 55.8 10 -18.3 -42.9 -8.0 -4.2 30.8 0.3 -53.3 -0.7 -12.2 100.0 0.5 2.5 -6.6 -3.4 11 -12.1 -23.4 -26.9 -29.6 -6.5 -15.2 -23.1 -22.2 -27.2 0.5 100.0 55.3 -23.6 -28.6 12 -19.8 -40.2 -48.5 -54.3 -4.3 -21.2 -41.8 -34.7 -46.4 2.5 55.3 100.0 -44.0 -46.7 13 20.6 54.7 91.2 36.6 3.3 27.1 57.0 42.3 62.2 -6.6 -23.6 -44.0 100.0 40.2 14 31.0 48.1 34.2 91.1 10.9 30.5 47.3 39.9 55.8 -3.4 -28.6 -46.7 40.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 112.91307 TOTAL CORRELATION OF ALL VARIABLES 50.7107216 ROUND 1: MAX CORR ( 50.7106072) AFTER KILLING INPUT VARIABLE 11 CONTR 0.107730519 ROUND 2: MAX CORR ( 50.709983) AFTER KILLING INPUT VARIABLE 14 CONTR 0.251597557 ROUND 3: MAX CORR ( 50.6846232) AFTER KILLING INPUT VARIABLE 12 CONTR 1.60354456 ROUND 4: MAX CORR ( 50.656573) AFTER KILLING INPUT VARIABLE 8 CONTR 1.68601083 ROUND 5: MAX CORR ( 50.6080188) AFTER KILLING INPUT VARIABLE 13 CONTR 2.21739201 ROUND 6: MAX CORR ( 50.5483765) AFTER KILLING INPUT VARIABLE 6 CONTR 2.45625751 ROUND 7: MAX CORR ( 50.2846039) AFTER KILLING INPUT VARIABLE 7 CONTR 5.15722574 ROUND 8: MAX CORR ( 49.7895202) AFTER KILLING INPUT VARIABLE 10 CONTR 7.0388253 ROUND 9: MAX CORR ( 49.4477883) AFTER KILLING INPUT VARIABLE 3 CONTR 5.82344857 ROUND 10: MAX CORR ( 48.517236) AFTER KILLING INPUT VARIABLE 9 CONTR 9.54785743 ROUND 11: MAX CORR ( 47.4470671) AFTER KILLING INPUT VARIABLE 5 CONTR 10.1340028 ROUND 12: MAX CORR ( 45.856987) AFTER KILLING INPUT VARIABLE 4 CONTR 12.1803499 LAST REMAINING VARIABLE: 2 total correlation to target: 50.7107216 % total significance: 47.7344262 sigma correlations of single variables to target: variable 2: 45.856987 % , in sigma: 43.1655652 variable 3: 23.9076898 % , in sigma: 22.5045083 variable 4: 35.0361822 % , in sigma: 32.9798511 variable 5: 22.9730307 % , in sigma: 21.6247058 variable 6: 38.0766577 % , in sigma: 35.8418762 variable 7: 40.0624103 % , in sigma: 37.7110817 variable 8: 33.6085644 % , in sigma: 31.6360226 variable 9: 43.3279335 % , in sigma: 40.784946 variable 10: -18.3342106 % , in sigma: 17.2581457 variable 11: -12.0820301 % , in sigma: 11.3729159 variable 12: -19.7946509 % , in sigma: 18.6328704 variable 13: 20.6000126 % , in sigma: 19.3909641 variable 14: 30.9781356 % , in sigma: 29.159978 variables sorted by significance: 1 most relevant variable 2 corr 45.856987 , in sigma: 43.1655652 2 most relevant variable 4 corr 12.1803503 , in sigma: 11.4654656 3 most relevant variable 5 corr 10.1340027 , in sigma: 9.53922144 4 most relevant variable 9 corr 9.54785728 , in sigma: 8.98747788 5 most relevant variable 3 corr 5.82344866 , in sigma: 5.4816609 6 most relevant variable 10 corr 7.03882551 , in sigma: 6.62570529 7 most relevant variable 7 corr 5.15722561 , in sigma: 4.85453958 8 most relevant variable 6 corr 2.45625758 , in sigma: 2.31209579 9 most relevant variable 13 corr 2.21739197 , in sigma: 2.0872496 10 most relevant variable 8 corr 1.68601084 , in sigma: 1.5870561 11 most relevant variable 12 corr 1.60354459 , in sigma: 1.50942993 12 most relevant variable 14 corr 0.251597553 , in sigma: 0.23683088 13 most relevant variable 11 corr 0.107730515 , in sigma: 0.101407635 global correlations between input variables: variable 2: 99.383023 % variable 3: 95.8681658 % variable 4: 95.0631275 % variable 5: 96.2099665 % variable 6: 96.0896454 % variable 7: 99.0685101 % variable 8: 87.4074188 % variable 9: 98.8300754 % variable 10: 74.8223792 % variable 11: 56.589675 % variable 12: 72.4617921 % variable 13: 93.6025707 % variable 14: 93.598974 % significance loss when removing single variables: variable 2: corr = 10.7965715 % , sigma = 10.162903 variable 3: corr = 7.1883597 % , sigma = 6.76646308 variable 4: corr = 10.6103606 % , sigma = 9.98762116 variable 5: corr = 6.91854545 % , sigma = 6.51248466 variable 6: corr = 1.64781954 % , sigma = 1.55110631 variable 7: corr = 5.29624943 % , sigma = 4.98540386 variable 8: corr = 1.75937284 % , sigma = 1.65611236 variable 9: corr = 10.9048733 % , sigma = 10.2648484 variable 10: corr = 7.1336197 % , sigma = 6.71493585 variable 11: corr = 0.107730519 % , sigma = 0.101407638 variable 12: corr = 1.37498074 % , sigma = 1.29428086 variable 13: corr = 1.78831382 % , sigma = 1.68335475 variable 14: corr = 0.236382347 % , sigma = 0.22250868 Keep only 7 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 8 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 12.6030388 sigma out 15 active outputs RANK 2 NODE 2 --> 10.8380928 sigma out 15 active outputs RANK 3 NODE 5 --> 9.87414074 sigma out 15 active outputs RANK 4 NODE 6 --> 9.13458824 sigma out 15 active outputs RANK 5 NODE 3 --> 8.70122242 sigma out 15 active outputs RANK 6 NODE 4 --> 6.89557695 sigma out 15 active outputs RANK 7 NODE 1 --> 6.6318655 sigma out 15 active outputs RANK 8 NODE 7 --> 5.52520895 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 12.3803272 sigma in 8act. ( 13.220192 sig out 1act.) RANK 2 NODE 9 --> 10.4765797 sigma in 8act. ( 11.0716372 sig out 1act.) RANK 3 NODE 12 --> 9.54886627 sigma in 8act. ( 10.0968781 sig out 1act.) RANK 4 NODE 14 --> 8.56094933 sigma in 8act. ( 9.0442152 sig out 1act.) RANK 5 NODE 15 --> 6.61325693 sigma in 8act. ( 6.85833168 sig out 1act.) RANK 6 NODE 4 --> 5.81104755 sigma in 8act. ( 6.59922171 sig out 1act.) RANK 7 NODE 1 --> 5.75669765 sigma in 8act. ( 6.47379351 sig out 1act.) RANK 8 NODE 13 --> 5.40191269 sigma in 8act. ( 5.36712503 sig out 1act.) RANK 9 NODE 7 --> 4.42864132 sigma in 8act. ( 4.9369688 sig out 1act.) RANK 10 NODE 2 --> 4.34446907 sigma in 8act. ( 3.92290998 sig out 1act.) RANK 11 NODE 3 --> 4.31629848 sigma in 8act. ( 4.5694313 sig out 1act.) RANK 12 NODE 8 --> 3.77244902 sigma in 8act. ( 3.78154969 sig out 1act.) RANK 13 NODE 11 --> 2.75601983 sigma in 8act. ( 2.64063644 sig out 1act.) RANK 14 NODE 6 --> 2.51104999 sigma in 8act. ( 2.49150515 sig out 1act.) RANK 15 NODE 5 --> 1.56023133 sigma in 8act. ( 1.39163804 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 13.220192 sigma out 1act.( 12.3803272 sig in 8act.) RANK 2 NODE 9 --> 11.0716372 sigma out 1act.( 10.4765797 sig in 8act.) RANK 3 NODE 12 --> 10.0968781 sigma out 1act.( 9.54886627 sig in 8act.) RANK 4 NODE 14 --> 9.0442152 sigma out 1act.( 8.56094933 sig in 8act.) RANK 5 NODE 15 --> 6.85833168 sigma out 1act.( 6.61325693 sig in 8act.) RANK 6 NODE 4 --> 6.59922171 sigma out 1act.( 5.81104755 sig in 8act.) RANK 7 NODE 1 --> 6.47379351 sigma out 1act.( 5.75669765 sig in 8act.) RANK 8 NODE 13 --> 5.36712503 sigma out 1act.( 5.40191269 sig in 8act.) RANK 9 NODE 7 --> 4.9369688 sigma out 1act.( 4.42864132 sig in 8act.) RANK 10 NODE 3 --> 4.5694313 sigma out 1act.( 4.31629848 sig in 8act.) RANK 11 NODE 2 --> 3.92290998 sigma out 1act.( 4.34446907 sig in 8act.) RANK 12 NODE 8 --> 3.78154969 sigma out 1act.( 3.77244902 sig in 8act.) RANK 13 NODE 11 --> 2.64063644 sigma out 1act.( 2.75601983 sig in 8act.) RANK 14 NODE 6 --> 2.49150515 sigma out 1act.( 2.51104999 sig in 8act.) RANK 15 NODE 5 --> 1.39163804 sigma out 1act.( 1.56023133 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 27.0640316 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 16.2706299 sigma out 15 active outputs RANK 2 NODE 2 --> 12.6951332 sigma out 15 active outputs RANK 3 NODE 5 --> 11.9114094 sigma out 15 active outputs RANK 4 NODE 3 --> 10.8554316 sigma out 15 active outputs RANK 5 NODE 6 --> 10.8492193 sigma out 15 active outputs RANK 6 NODE 1 --> 10.248538 sigma out 15 active outputs RANK 7 NODE 4 --> 7.91719437 sigma out 15 active outputs RANK 8 NODE 7 --> 7.18289471 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 12.4673557 sigma in 8act. ( 11.7967272 sig out 1act.) RANK 2 NODE 9 --> 12.0806541 sigma in 8act. ( 10.9428854 sig out 1act.) RANK 3 NODE 12 --> 10.6430845 sigma in 8act. ( 9.82355976 sig out 1act.) RANK 4 NODE 4 --> 10.2805967 sigma in 8act. ( 7.30456686 sig out 1act.) RANK 5 NODE 14 --> 9.59023094 sigma in 8act. ( 9.07499218 sig out 1act.) RANK 6 NODE 15 --> 7.96348572 sigma in 8act. ( 6.65480661 sig out 1act.) RANK 7 NODE 3 --> 7.72026968 sigma in 8act. ( 4.71262312 sig out 1act.) RANK 8 NODE 2 --> 7.50592375 sigma in 8act. ( 4.41162825 sig out 1act.) RANK 9 NODE 6 --> 7.24504328 sigma in 8act. ( 3.04441118 sig out 1act.) RANK 10 NODE 1 --> 7.09620857 sigma in 8act. ( 5.87489462 sig out 1act.) RANK 11 NODE 13 --> 6.30821848 sigma in 8act. ( 4.96231937 sig out 1act.) RANK 12 NODE 7 --> 6.26902151 sigma in 8act. ( 5.76694059 sig out 1act.) RANK 13 NODE 11 --> 4.94614124 sigma in 8act. ( 2.96977401 sig out 1act.) RANK 14 NODE 8 --> 4.15495253 sigma in 8act. ( 3.62070131 sig out 1act.) RANK 15 NODE 5 --> 2.70050359 sigma in 8act. ( 0.912277877 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 11.7967272 sigma out 1act.( 12.4673557 sig in 8act.) RANK 2 NODE 9 --> 10.9428854 sigma out 1act.( 12.0806541 sig in 8act.) RANK 3 NODE 12 --> 9.82355976 sigma out 1act.( 10.6430845 sig in 8act.) RANK 4 NODE 14 --> 9.07499218 sigma out 1act.( 9.59023094 sig in 8act.) RANK 5 NODE 4 --> 7.30456686 sigma out 1act.( 10.2805967 sig in 8act.) RANK 6 NODE 15 --> 6.65480661 sigma out 1act.( 7.96348572 sig in 8act.) RANK 7 NODE 1 --> 5.87489462 sigma out 1act.( 7.09620857 sig in 8act.) RANK 8 NODE 7 --> 5.76694059 sigma out 1act.( 6.26902151 sig in 8act.) RANK 9 NODE 13 --> 4.96231937 sigma out 1act.( 6.30821848 sig in 8act.) RANK 10 NODE 3 --> 4.71262312 sigma out 1act.( 7.72026968 sig in 8act.) RANK 11 NODE 2 --> 4.41162825 sigma out 1act.( 7.50592375 sig in 8act.) RANK 12 NODE 8 --> 3.62070131 sigma out 1act.( 4.15495253 sig in 8act.) RANK 13 NODE 6 --> 3.04441118 sigma out 1act.( 7.24504328 sig in 8act.) RANK 14 NODE 11 --> 2.96977401 sigma out 1act.( 4.94614124 sig in 8act.) RANK 15 NODE 5 --> 0.912277877 sigma out 1act.( 2.70050359 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.4859982 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.389739484 *** contribution from regularisation: 0.0124637354 *** contribution from error: -0.402203232 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.431119353 *** contribution from regularisation: 0.00701652234 *** contribution from error: -0.438135862 *********************************************** -----------------> Test sample ENTER BFGS code START -8933.57141 -0.481538981 -0.275226086 EXIT FROM BFGS code FG_START 0. -0.481538981 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.443182945 *** contribution from regularisation: 0.00579958363 *** contribution from error: -0.448982537 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -9181.42112 -0.481538981 -24.5418415 EXIT FROM BFGS code FG_LNSRCH 0. -0.508019567 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.45972231 *** contribution from regularisation: 0.00864632707 *** contribution from error: -0.468368649 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9524.06719 -0.508019567 -8.50009251 EXIT FROM BFGS code NEW_X -9524.06719 -0.508019567 -8.50009251 ENTER BFGS code NEW_X -9524.06719 -0.508019567 -8.50009251 EXIT FROM BFGS code FG_LNSRCH 0. -0.512308717 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.462357223 *** contribution from regularisation: 0.00803726912 *** contribution from error: -0.470394492 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9578.6546 -0.512308717 -1.68594527 EXIT FROM BFGS code NEW_X -9578.6546 -0.512308717 -1.68594527 ENTER BFGS code NEW_X -9578.6546 -0.512308717 -1.68594527 EXIT FROM BFGS code FG_LNSRCH 0. -0.514276385 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.462634772 *** contribution from regularisation: 0.0079325838 *** contribution from error: -0.470567346 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9584.40454 -0.514276385 2.07163787 EXIT FROM BFGS code NEW_X -9584.40454 -0.514276385 2.07163787 ENTER BFGS code NEW_X -9584.40454 -0.514276385 2.07163787 EXIT FROM BFGS code FG_LNSRCH 0. -0.515134096 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.463242412 *** contribution from regularisation: 0.00714953756 *** contribution from error: -0.470391959 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9596.99327 -0.515134096 20.6814442 EXIT FROM BFGS code NEW_X -9596.99327 -0.515134096 20.6814442 ENTER BFGS code NEW_X -9596.99327 -0.515134096 20.6814442 EXIT FROM BFGS code FG_LNSRCH 0. -0.493873 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.463121772 *** contribution from regularisation: 0.00730322534 *** contribution from error: -0.47042501 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9594.49398 -0.493873 14.7237129 EXIT FROM BFGS code FG_LNSRCH 0. -0.510871828 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.46221146 *** contribution from regularisation: 0.00820820685 *** contribution from error: -0.470419675 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9575.63456 -0.510871828 19.0635509 EXIT FROM BFGS code FG_LNSRCH 0. -0.515014887 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 14.734376 sigma out 15 active outputs RANK 2 NODE 1 --> 10.5513935 sigma out 15 active outputs RANK 3 NODE 3 --> 9.88618279 sigma out 15 active outputs RANK 4 NODE 2 --> 9.01947784 sigma out 15 active outputs RANK 5 NODE 5 --> 8.71700287 sigma out 15 active outputs RANK 6 NODE 6 --> 7.58638144 sigma out 15 active outputs RANK 7 NODE 4 --> 7.17009115 sigma out 15 active outputs RANK 8 NODE 7 --> 6.4392004 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 10.903923 sigma in 8act. ( 9.48025799 sig out 1act.) RANK 2 NODE 6 --> 9.52605152 sigma in 8act. ( 8.29639339 sig out 1act.) RANK 3 NODE 9 --> 8.44962597 sigma in 8act. ( 6.78680849 sig out 1act.) RANK 4 NODE 7 --> 7.83609581 sigma in 8act. ( 7.45704746 sig out 1act.) RANK 5 NODE 3 --> 7.63649464 sigma in 8act. ( 6.3937645 sig out 1act.) RANK 6 NODE 2 --> 7.60968637 sigma in 8act. ( 5.14425659 sig out 1act.) RANK 7 NODE 12 --> 7.4466424 sigma in 8act. ( 6.93827724 sig out 1act.) RANK 8 NODE 14 --> 7.15107203 sigma in 8act. ( 7.16459227 sig out 1act.) RANK 9 NODE 15 --> 6.60881376 sigma in 8act. ( 5.54585743 sig out 1act.) RANK 10 NODE 11 --> 6.20427322 sigma in 8act. ( 4.57460785 sig out 1act.) RANK 11 NODE 10 --> 5.42126322 sigma in 8act. ( 2.8576405 sig out 1act.) RANK 12 NODE 1 --> 4.73493576 sigma in 8act. ( 3.1858542 sig out 1act.) RANK 13 NODE 13 --> 4.20541573 sigma in 8act. ( 3.15327001 sig out 1act.) RANK 14 NODE 8 --> 3.54598999 sigma in 8act. ( 2.93250489 sig out 1act.) RANK 15 NODE 5 --> 2.1071279 sigma in 8act. ( 0.911685467 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 9.48025799 sigma out 1act.( 10.903923 sig in 8act.) RANK 2 NODE 6 --> 8.29639339 sigma out 1act.( 9.52605152 sig in 8act.) RANK 3 NODE 7 --> 7.45704746 sigma out 1act.( 7.83609581 sig in 8act.) RANK 4 NODE 14 --> 7.16459227 sigma out 1act.( 7.15107203 sig in 8act.) RANK 5 NODE 12 --> 6.93827724 sigma out 1act.( 7.4466424 sig in 8act.) RANK 6 NODE 9 --> 6.78680849 sigma out 1act.( 8.44962597 sig in 8act.) RANK 7 NODE 3 --> 6.3937645 sigma out 1act.( 7.63649464 sig in 8act.) RANK 8 NODE 15 --> 5.54585743 sigma out 1act.( 6.60881376 sig in 8act.) RANK 9 NODE 2 --> 5.14425659 sigma out 1act.( 7.60968637 sig in 8act.) RANK 10 NODE 11 --> 4.57460785 sigma out 1act.( 6.20427322 sig in 8act.) RANK 11 NODE 1 --> 3.1858542 sigma out 1act.( 4.73493576 sig in 8act.) RANK 12 NODE 13 --> 3.15327001 sigma out 1act.( 4.20541573 sig in 8act.) RANK 13 NODE 8 --> 2.93250489 sigma out 1act.( 3.54598999 sig in 8act.) RANK 14 NODE 10 --> 2.8576405 sigma out 1act.( 5.42126322 sig in 8act.) RANK 15 NODE 5 --> 0.911685467 sigma out 1act.( 2.1071279 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 22.727993 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.462617338 *** contribution from regularisation: 0.0077755996 *** contribution from error: -0.470392942 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -9584.04346 -0.515014887 20.5056496 EXIT FROM BFGS code FG_LNSRCH 0. -0.515133917 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.462520957 *** contribution from regularisation: 0.00787100196 *** contribution from error: -0.470391959 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9582.04672 -0.515133917 20.4080372 EXIT FROM BFGS code FG_LNSRCH 0. -0.515134096 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.46263656 *** contribution from regularisation: 0.00775541505 *** contribution from error: -0.470391989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9584.44132 -0.515134096 20.5411453 EXIT FROM BFGS code FG_LNSRCH 0. -0.515134096 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.462549269 *** contribution from regularisation: 0.00784270372 *** contribution from error: -0.470391959 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9582.63295 -0.515134096 20.4467907 EXIT FROM BFGS code FG_LNSRCH 0. -0.515134096 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.462508827 *** contribution from regularisation: 0.00788313709 *** contribution from error: -0.470391959 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9581.79529 -0.515134096 20.4786205 EXIT FROM BFGS code NEW_X -9581.79529 -0.515134096 20.4786205 ENTER BFGS code NEW_X -9581.79529 -0.515134096 20.4786205 EXIT FROM BFGS code CONVERGENC -9581.79529 -0.515134096 20.4786205 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 19.8850288 sigma out 15 active outputs RANK 2 NODE 1 --> 14.6467953 sigma out 15 active outputs RANK 3 NODE 3 --> 14.0624905 sigma out 15 active outputs RANK 4 NODE 2 --> 11.9271135 sigma out 15 active outputs RANK 5 NODE 5 --> 11.6760168 sigma out 15 active outputs RANK 6 NODE 6 --> 10.0486469 sigma out 15 active outputs RANK 7 NODE 4 --> 10.0096684 sigma out 15 active outputs RANK 8 NODE 7 --> 8.8013382 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 15.368474 sigma in 8act. ( 14.1621418 sig out 1act.) RANK 2 NODE 6 --> 13.3859196 sigma in 8act. ( 12.6088352 sig out 1act.) RANK 3 NODE 9 --> 11.62782 sigma in 8act. ( 9.91048336 sig out 1act.) RANK 4 NODE 7 --> 11.2355213 sigma in 8act. ( 10.8936377 sig out 1act.) RANK 5 NODE 2 --> 10.4235497 sigma in 8act. ( 7.53438854 sig out 1act.) RANK 6 NODE 3 --> 10.3485308 sigma in 8act. ( 9.41168594 sig out 1act.) RANK 7 NODE 12 --> 10.059494 sigma in 8act. ( 10.4795694 sig out 1act.) RANK 8 NODE 14 --> 9.64573002 sigma in 8act. ( 10.6174288 sig out 1act.) RANK 9 NODE 15 --> 8.95118523 sigma in 8act. ( 8.23369312 sig out 1act.) RANK 10 NODE 11 --> 8.49496555 sigma in 8act. ( 6.86234856 sig out 1act.) RANK 11 NODE 10 --> 6.19031763 sigma in 8act. ( 4.25331783 sig out 1act.) RANK 12 NODE 1 --> 5.7577796 sigma in 8act. ( 4.74863482 sig out 1act.) RANK 13 NODE 13 --> 5.18756199 sigma in 8act. ( 4.66004229 sig out 1act.) RANK 14 NODE 8 --> 4.70770693 sigma in 8act. ( 4.20758486 sig out 1act.) RANK 15 NODE 5 --> 2.29974985 sigma in 8act. ( 1.26743639 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 14.1621418 sigma out 1act.( 15.368474 sig in 8act.) RANK 2 NODE 6 --> 12.6088352 sigma out 1act.( 13.3859196 sig in 8act.) RANK 3 NODE 7 --> 10.8936377 sigma out 1act.( 11.2355213 sig in 8act.) RANK 4 NODE 14 --> 10.6174288 sigma out 1act.( 9.64573002 sig in 8act.) RANK 5 NODE 12 --> 10.4795694 sigma out 1act.( 10.059494 sig in 8act.) RANK 6 NODE 9 --> 9.91048336 sigma out 1act.( 11.62782 sig in 8act.) RANK 7 NODE 3 --> 9.41168594 sigma out 1act.( 10.3485308 sig in 8act.) RANK 8 NODE 15 --> 8.23369312 sigma out 1act.( 8.95118523 sig in 8act.) RANK 9 NODE 2 --> 7.53438854 sigma out 1act.( 10.4235497 sig in 8act.) RANK 10 NODE 11 --> 6.86234856 sigma out 1act.( 8.49496555 sig in 8act.) RANK 11 NODE 1 --> 4.74863482 sigma out 1act.( 5.7577796 sig in 8act.) RANK 12 NODE 13 --> 4.66004229 sigma out 1act.( 5.18756199 sig in 8act.) RANK 13 NODE 10 --> 4.25331783 sigma out 1act.( 6.19031763 sig in 8act.) RANK 14 NODE 8 --> 4.20758486 sigma out 1act.( 4.70770693 sig in 8act.) RANK 15 NODE 5 --> 1.26743639 sigma out 1act.( 2.29974985 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 33.7770309 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.462551534 *** contribution from regularisation: 0.00784043781 *** contribution from error: -0.470391959 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24530 Closing output file done