NNInput NNInputs_140.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= 80346 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 = 21656 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 21656 Chosen entries: 21656 Signal fraction: 1 Background fraction: 0.36899 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 21656 Entries to split: 21656 Test with : 10828 Train with : 10828 ********************************************* * 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= 21656 for Signal Prepared event 0 for Signal with 21656 events ====Entry 0 Variable Ht : 85.4544 Variable LepAPt : 25.5107 Variable LepBPt : 23.3207 Variable MetSigLeptonsJets : 1.9372 Variable MetSpec : 16.126 Variable SumEtLeptonsJets : 69.3246 Variable VSumJetLeptonsPt : 30.7071 Variable addEt : 64.9611 Variable dPhiLepSumMet : 1.96373 Variable dPhiLeptons : 0.0277953 Variable dRLeptons : 0.585725 Variable lep1_E : 26.3143 Variable lep2_E : 24.6396 ===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 = 2140 Ht = 85.4544 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5107 LepAPt = 25.5107 LepBEt = 23.321 LepBPt = 23.3207 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 16.1294 MetDelPhi = 1.55017 MetSig = 1.36451 MetSigLeptonsJets = 1.9372 MetSpec = 16.126 Mjj = 0 MostCentralJetEta = -1.65117 MtllMet = 67.0666 Njets = 1 SB = 0 SumEt = 139.729 SumEtJets = 0 SumEtLeptonsJets = 69.3246 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 30.7071 addEt = 64.9611 dPhiLepSumMet = 1.96373 dPhiLeptons = 0.0277953 dRLeptons = 0.585725 diltype = 47 dimass = 14.492 event = 349 jet1_Et = 20.4932 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 26.3143 lep2_E = 24.6396 rand = 0.999742 run = 234314 weight = 2.6596e-06 ===Show End Prepared event 10000 for Signal with 21656 events Prepared event 20000 for Signal with 21656 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= 58690 for Background Prepared event 0 for Background with 58690 events ====Entry 0 Variable Ht : 65.1543 Variable LepAPt : 20.8407 Variable LepBPt : 10.82 Variable MetSigLeptonsJets : 5.95247 Variable MetSpec : 33.4933 Variable SumEtLeptonsJets : 31.6607 Variable VSumJetLeptonsPt : 31.4507 Variable addEt : 65.1543 Variable dPhiLepSumMet : 3.01433 Variable dPhiLeptons : 0.243032 Variable dRLeptons : 0.763155 Variable lep1_E : 24.0883 Variable lep2_E : 10.9808 ===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 = 65.1543 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8411 LepAPt = 20.8407 LepBEt = 10.82 LepBPt = 10.82 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.4933 MetDelPhi = 2.93145 MetSig = 3.89076 MetSigLeptonsJets = 5.95247 MetSpec = 33.4933 Mjj = 0 MostCentralJetEta = 0 MtllMet = 67.7985 Njets = 0 SB = 0 SumEt = 74.1048 SumEtJets = 0 SumEtLeptonsJets = 31.6607 Target = 0 TrainWeight = 1.0894 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.4507 addEt = 65.1543 dPhiLepSumMet = 3.01433 dPhiLeptons = 0.243032 dRLeptons = 0.763155 diltype = 110 dimass = 11.6846 event = 12144548 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 24.0883 lep2_E = 10.9808 rand = 0.999742 run = 272126 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 58690 events Prepared event 20000 for Background with 58690 events Prepared event 30000 for Background with 58690 events Prepared event 40000 for Background with 58690 events Prepared event 50000 for Background with 58690 events Warning: found 1958 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 80346 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 1958 negative weights. Signal fraction: 63.9318657 % ------------------------------ 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 47.3116226 60.3469849 62.6190796 65.3148422 67.1437531 68.3993988 69.3914795 70.2503128 71.3499146 72.0945892 73.0061493 73.8295364 74.4921112 75.2741699 75.7668304 76.535965 77.0969238 77.6896515 78.1380692 78.8444214 79.4267426 80.0848007 80.7670975 81.6027985 82.3478775 82.7313843 83.5797958 84.3725128 85.5072632 86.4075928 87.536972 88.7722778 90.0346832 91.3502502 92.704361 94.2849884 95.6259155 96.9157486 98.058075 99.4644165 100.928246 102.059296 103.259651 104.418243 105.55088 106.843246 108.090729 108.971718 110.209412 111.279076 112.535439 113.901154 115.098129 116.382545 117.4664 118.779572 119.988853 121.168472 122.249084 123.452538 124.566162 125.648499 126.909363 128.183197 129.339859 130.491837 131.542099 132.860565 134.166473 135.502869 136.911514 138.446533 139.781891 141.373932 143.17218 145.063126 146.958191 148.758484 150.887543 153.345978 155.362823 157.633453 160.057953 162.826599 165.336426 168.198944 171.356812 174.61438 178.206909 181.823944 185.983932 190.192093 194.92923 200.23645 206.942673 215.213593 226.345459 239.549011 259.681946 298.063019 809.992676 ------------------------------ Transdef: Tab for variable 3 20.0009289 20.2714844 20.4988632 20.7362728 20.97789 21.1643028 21.363369 21.5304031 21.7156067 21.9325485 22.1070023 22.3260002 22.5284195 22.6796761 22.879673 23.0416336 23.231617 23.4119492 23.6282616 23.8045578 23.98069 24.189806 24.4352379 24.6459045 24.8413143 25.0665722 25.2562408 25.4065876 25.6322556 25.8330784 26.0008049 26.2085381 26.4315567 26.627533 26.8868141 27.145546 27.3421974 27.6089764 27.83321 28.0241318 28.2550945 28.5472527 28.7808685 29.0044212 29.1833801 29.4095764 29.6741734 29.9403915 30.182724 30.4073238 30.6671181 30.9248905 31.2051563 31.4981079 31.7756538 32.0541992 32.3290863 32.6270828 32.8721161 33.1463127 33.4613113 33.7656555 34.0663681 34.3542938 34.6548729 34.9800301 35.3077164 35.6591759 35.9736252 36.3134766 36.5971947 36.9612885 37.3471947 37.7460785 38.0966415 38.5363503 38.9614334 39.3334274 39.7343788 40.1471672 40.5740356 41.0560722 41.6208916 42.1277542 42.7060776 43.2954254 43.894043 44.7086487 45.5130234 46.3545609 47.3191147 48.2996254 49.3721886 50.6283035 52.05336 53.6067581 55.6923904 58.6733932 63.3223915 71.1228333 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0006914 10.1127386 10.2788696 10.3977547 10.5077343 10.6465015 10.7865725 10.9117966 11.0191288 11.1247759 11.2615004 11.4055643 11.5359335 11.6565981 11.8092937 11.955986 12.0975075 12.2207565 12.3619776 12.4630127 12.6085567 12.7683334 12.9089375 13.0550508 13.2500982 13.423872 13.6116619 13.7494068 13.9561176 14.1172867 14.2574921 14.3887253 14.5729218 14.7319126 14.8737917 15.0660934 15.2819262 15.4708281 15.6575909 15.8598156 16.0357418 16.2355423 16.4289246 16.5957222 16.7929859 16.9557533 17.1841125 17.3827438 17.5953522 17.7843666 17.9955902 18.1935806 18.4016705 18.6273174 18.8429146 19.06287 19.2493858 19.4478111 19.7165527 19.9791336 20.1652107 20.4100075 20.6281013 20.8256969 21.0748329 21.3436813 21.569622 21.8460979 22.117897 22.371666 22.614357 22.8534184 23.1450634 23.3796463 23.6288719 23.944891 24.2513504 24.5604286 24.8845711 25.2066574 25.5612049 25.8727798 26.2173386 26.6221771 27.0111809 27.3572235 27.7395172 28.1325874 28.6392155 29.101429 29.6513329 30.1702499 30.7697945 31.4644909 32.2459412 33.1866264 34.3257904 35.9847717 38.4033966 42.9793587 63.8506355 ------------------------------ Transdef: Tab for variable 5 1.21131408 2.10652113 2.52569675 2.80129814 3.02860165 3.20711088 3.35629845 3.57049298 3.72271395 3.88413548 4.02530956 4.15441132 4.27627134 4.38231516 4.48352146 4.59362793 4.66284752 4.76020241 4.84501171 4.92421627 5.01185846 5.08944893 5.15263748 5.21867943 5.28270388 5.3359108 5.39257622 5.44763565 5.49420166 5.52600241 5.56680393 5.61684227 5.66719484 5.7202754 5.77628326 5.81759834 5.85723734 5.89850664 5.94069004 5.99327087 6.02920151 6.07504702 6.10362244 6.14089394 6.18549156 6.22162247 6.26238441 6.308146 6.34489632 6.38694668 6.42541313 6.46011448 6.50029564 6.539361 6.58648586 6.6335783 6.67227125 6.71143055 6.75363159 6.79979801 6.84828043 6.88676071 6.9358778 6.9911437 7.03588438 7.07259941 7.11868095 7.16458893 7.21781731 7.27183437 7.3233633 7.37434053 7.42861843 7.48052216 7.53345108 7.59009361 7.65122747 7.70677376 7.75876236 7.80975437 7.86855602 7.92629099 7.98629427 8.04577637 8.10927486 8.18475914 8.24276161 8.32111359 8.39811897 8.47515297 8.56747246 8.65194416 8.76015949 8.90028954 9.03944874 9.20129776 9.40735817 9.63989449 9.98289299 10.6333466 20.215023 ------------------------------ Transdef: Tab for variable 6 15.0038528 16.9234924 18.7371216 20.2932968 21.995121 23.6156502 24.861721 26.1544075 27.1946297 28.190218 29.09021 30.002327 30.8179932 31.4856873 32.1209412 32.6241074 33.1228218 33.4894867 33.9329681 34.3779373 34.8242264 35.1722183 35.5861664 35.8948135 36.2751007 36.6060181 36.9636421 37.2713432 37.6387253 38.0002289 38.3686028 38.7057877 39.1154022 39.4728241 39.7989655 40.2068863 40.4569092 40.7051086 41.066349 41.4260025 41.7841797 42.2099304 42.7201691 43.0993423 43.5270424 43.9949341 44.522541 44.991684 45.4150162 45.9858246 46.6135941 47.1024704 47.7149162 48.2937622 48.8086357 49.401001 49.8808784 50.4979401 51.0206337 51.6402817 52.2133331 52.7959976 53.4544106 54.035347 54.6519012 55.2478943 55.8427925 56.4634323 57.1263504 57.7533264 58.3453751 58.9979782 59.6080246 60.2572708 60.9490128 61.6308327 62.2236023 62.9062195 63.5518265 64.1402893 64.6874084 65.355484 66.0615387 66.8652344 67.6229858 68.480835 69.3874664 70.3290863 71.4714661 72.5963821 73.7675629 75.2403793 76.7452545 78.5272369 80.9141769 83.6223679 87.532196 91.5692749 97.0343323 107.907372 236.562576 ------------------------------ Transdef: Tab for variable 7 30.1877575 32.3574066 33.1750069 33.8799744 34.5767975 35.0775604 35.4920769 35.9331818 36.2753792 36.5869865 37.0303688 37.3814621 37.7235184 38.0228729 38.3044968 38.6477928 39.0447464 39.3172226 39.5617447 39.8063507 40.1592026 40.5186729 40.8492851 41.1923943 41.5824127 41.9977341 42.3598633 42.8215866 43.3717232 44.0607796 44.7012978 45.3287964 46.2554779 47.0551147 47.7625351 48.5803566 49.4067764 50.1826553 50.8998032 51.5600433 52.3850555 53.1217728 53.81073 54.5842514 55.3515091 55.9719162 56.7119217 57.4058228 57.9703903 58.7468643 59.4768105 60.2361183 60.956131 61.6597519 62.3694611 63.1490097 63.8137207 64.5350494 65.2325363 65.9942093 66.6932602 67.5378571 68.5839615 69.6345139 70.7148132 71.7872772 72.8822937 74.3664856 75.6052094 76.9012299 78.3131866 79.7043839 81.0221329 82.5105133 83.9365005 85.6242218 87.0930481 88.8041153 90.5265656 92.2897491 94.2921982 96.2055511 98.2838135 100.184853 102.569344 105.406342 107.91481 110.879204 113.687012 116.585022 120.568718 124.808327 129.118164 134.487534 140.421631 147.499023 157.349838 169.547058 184.646103 213.801117 477.770996 ------------------------------ Transdef: Tab for variable 8 1.91423655 19.6268711 25.1661453 28.1234837 29.9849014 31.0922794 31.9452515 32.418869 32.9531784 33.4896622 33.9119568 34.4269485 34.7954788 35.1087646 35.3992386 35.7508621 36.0302277 36.3219376 36.6519928 36.9314423 37.1785049 37.3917274 37.7306442 37.9488754 38.3215065 38.5577507 38.8428764 39.1047287 39.364418 39.6390266 39.9254684 40.1986084 40.4072723 40.6454849 40.9431305 41.2771759 41.6207504 41.9305229 42.2687988 42.7155762 43.0826569 43.5386658 44.0088615 44.490963 44.9737091 45.5052948 45.9535751 46.4762764 47.0077591 47.5552597 48.0948486 48.7015877 49.2428894 49.7109985 50.2587357 50.7264748 51.1910477 51.7886276 52.3473129 52.8835258 53.4020004 53.9143982 54.4713783 55.0548019 55.584034 56.078537 56.5858688 57.112236 57.5974808 58.213623 58.713623 59.2552414 59.8294296 60.4686584 61.0696793 61.6991081 62.2793312 62.9157829 63.4721642 64.1557922 64.7217865 65.351944 65.9992676 66.7224197 67.5514603 68.3470001 69.1868744 70.1444473 71.1992035 72.4434433 73.7896729 75.3431702 76.9930649 79.0119247 81.3048096 84.1446381 87.9260406 92.5719528 100.310158 112.369484 327.821259 ------------------------------ Transdef: Tab for variable 9 47.3116226 59.5206451 61.9391556 63.8260422 65.8713074 67.1295319 68.3224716 69.155304 69.8780136 70.7650986 71.5742569 72.2628021 73.1233597 73.787941 74.4000854 75.0741425 75.5126724 76.0880127 76.723175 77.1632843 77.6910934 78.1047821 78.6440125 79.1010284 79.7256622 80.1828613 80.7670975 81.4048615 82.022316 82.5164413 82.893631 83.5639954 84.1874695 84.9266663 85.7900543 86.4571609 87.2939911 88.2981491 89.1916809 90.075325 91.1340485 92.0484695 92.9051895 94.0762634 95.3001404 96.4264984 97.3981018 98.3614502 99.4644623 100.510597 101.557922 102.498978 103.352264 104.356125 105.339325 106.22345 107.205673 108.146729 109.004578 110.060104 110.975708 112.05719 112.937927 113.969215 114.878777 115.831161 116.734535 117.668587 118.567932 119.467697 120.346161 121.19294 122.195816 123.009232 123.871155 124.682449 125.607758 126.503357 127.466431 128.312531 129.290527 130.130524 130.925949 131.97229 132.920288 133.96199 135.048477 136.10466 137.111908 138.542511 139.929337 141.431396 143.063416 144.912369 147.108734 150.107864 154.181351 160.155914 169.426117 186.549484 424.390259 ------------------------------ Transdef: Tab for variable 10 0.00682171527 0.924476385 1.24096656 1.42189622 1.58224082 1.7192719 1.83057642 1.91717958 2.00201607 2.06741762 2.13646364 2.19170666 2.24047852 2.28653884 2.32788372 2.36950111 2.41035032 2.44866896 2.478652 2.508111 2.53834009 2.5634625 2.58570623 2.61642075 2.63954711 2.66479325 2.68371725 2.70418882 2.72203875 2.74152708 2.75948715 2.77632689 2.79138041 2.80584288 2.81958318 2.83115768 2.84454966 2.85620546 2.86635971 2.8763628 2.8869276 2.89827514 2.90622592 2.91618538 2.92588544 2.93403339 2.94009781 2.94845295 2.95586824 2.96261978 2.97022176 2.97496986 2.98060656 2.98578358 2.99110413 2.99756217 3.00311422 3.00700855 3.01175213 3.01544046 3.01956153 3.02358007 3.02765703 3.03174901 3.03577304 3.03906107 3.04308319 3.04756641 3.05086398 3.05418229 3.05761719 3.06114244 3.06475592 3.06825638 3.0716753 3.07486486 3.0777216 3.08076239 3.08350253 3.08647919 3.08959818 3.0919199 3.09461474 3.09707594 3.09971237 3.10241842 3.10533261 3.10777712 3.1108768 3.11349821 3.1162529 3.11914539 3.12164307 3.12461257 3.12675714 3.12929416 3.13185644 3.13423681 3.13689566 3.13909864 3.1415906 ------------------------------ Transdef: Tab for variable 11 3.24249268E-05 0.00526839634 0.0112922508 0.0156966411 0.0217082798 0.0273826085 0.0341973305 0.0420413613 0.048506029 0.0551391207 0.0610964298 0.0689068958 0.0761420727 0.0833707005 0.0909457207 0.0968782529 0.103057519 0.110236883 0.116449893 0.122326612 0.128391504 0.134391546 0.140878677 0.146591902 0.153727949 0.160466105 0.166543245 0.172503173 0.178392053 0.183915496 0.189219654 0.194545031 0.199402481 0.203420758 0.207484424 0.212494552 0.218405247 0.223604262 0.228536487 0.232666016 0.236987948 0.242077112 0.247526169 0.252325147 0.256171048 0.260345131 0.264930964 0.27111733 0.275789499 0.281804502 0.286105871 0.290672421 0.296226501 0.301010013 0.30634141 0.311468124 0.315746427 0.321444392 0.327081203 0.333150804 0.338677198 0.344406962 0.350484312 0.356054306 0.362325817 0.368653595 0.37628907 0.38245523 0.389330745 0.395489335 0.400787473 0.407366246 0.414448559 0.42067346 0.428622961 0.436741024 0.442409158 0.449603617 0.457349658 0.464241028 0.47138834 0.479675233 0.488366365 0.498156667 0.506675005 0.518067539 0.527146578 0.536627471 0.548004985 0.559068441 0.570985675 0.585269213 0.601286173 0.618079305 0.637502193 0.660113335 0.686276078 0.722632527 0.770635009 0.826040626 1.09985995 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.207662985 0.215975896 0.223259851 0.230304539 0.235574514 0.24179548 0.24788329 0.254706025 0.259261966 0.265059173 0.27094996 0.276331663 0.2831406 0.288511276 0.29382652 0.298942536 0.305319905 0.310755908 0.316388726 0.321147501 0.326219618 0.332101762 0.337075233 0.342737854 0.348926216 0.353925377 0.359351039 0.364603341 0.369147241 0.374734402 0.379982203 0.385700107 0.389611244 0.394236743 0.398411214 0.402786732 0.406987607 0.410728931 0.413794041 0.418620884 0.423166335 0.427641273 0.432084322 0.435673773 0.439783633 0.444319248 0.448797226 0.453154445 0.456987739 0.461589307 0.466368675 0.469732374 0.472662717 0.476751506 0.481289268 0.485261858 0.48970288 0.494686127 0.498836815 0.504230857 0.509328604 0.513518333 0.517962813 0.522200048 0.527472258 0.532187939 0.538213253 0.54309237 0.549587905 0.554862976 0.559528351 0.563954353 0.569994509 0.576484323 0.582090914 0.587769866 0.595391512 0.602297425 0.609519005 0.617697716 0.625520527 0.630867839 0.640018582 0.648917854 0.659278274 0.666949868 0.674280643 0.686479926 0.700083196 0.711528778 0.723217249 0.736028194 0.750718236 0.764915228 0.787869334 0.810699582 0.830058336 0.869618356 0.908430994 1.11529541 ------------------------------ Transdef: Tab for variable 13 20.0376225 21.2379265 21.854454 22.3853874 22.8567505 23.3453903 23.6639061 24.0057163 24.378727 24.6804485 25.085392 25.4723091 25.7631378 26.0566177 26.3584099 26.691555 27.0563011 27.3224525 27.6733818 27.946703 28.1936035 28.4887924 28.7649727 29.1043701 29.3879242 29.7203178 30.0469685 30.371769 30.5864906 30.8262405 31.1120491 31.365778 31.6302299 31.8943748 32.1484413 32.4304886 32.7146797 32.9903946 33.3050957 33.6613617 33.9614677 34.2687225 34.5538712 34.8440857 35.2100525 35.5347977 35.9165573 36.2074661 36.4885712 36.8254242 37.1401138 37.4786072 37.8143883 38.1486855 38.5536652 38.8546371 39.1722717 39.5296745 39.8533669 40.2534332 40.5892372 40.984024 41.3831291 41.8086777 42.2069855 42.6345863 42.9901695 43.4102173 43.790596 44.2902756 44.7616043 45.2685356 45.7738571 46.3857574 46.9511108 47.6358414 48.1898613 48.8110428 49.5005684 50.3044357 50.9997711 51.7561569 52.3961792 53.147747 53.9838715 54.9699554 55.9994125 57.0439148 58.0424919 59.2688751 60.6324577 62.1109734 64.0619965 65.9716492 68.4186478 71.0716705 74.4501953 78.2848969 85.2186584 96.1508636 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.5908279 10.9720287 11.2821121 11.5788975 11.8705826 12.1716061 12.4547758 12.6811657 12.9293613 13.1461887 13.3536892 13.6176586 13.8040504 14.0431662 14.2800446 14.4782257 14.7154827 14.8622723 15.0724058 15.2716522 15.4913864 15.6936092 15.934906 16.1755447 16.4003563 16.6523018 16.8585243 17.0826874 17.3273373 17.5491295 17.7881069 18.0421867 18.2887821 18.4860306 18.7052155 18.9657288 19.1503754 19.3698502 19.601223 19.8550301 20.1171532 20.37253 20.6305542 20.8726311 21.1352501 21.3899231 21.6310234 21.8783226 22.1046143 22.358139 22.6448898 22.8915977 23.1580582 23.395874 23.70644 23.9924202 24.2675362 24.5291939 24.826149 25.089056 25.342205 25.6339149 25.8969116 26.1724911 26.4693336 26.8006058 27.0655022 27.3722305 27.7054348 28.0021667 28.3232422 28.7266426 29.0142136 29.3903313 29.7533627 30.1245823 30.4974689 30.8895054 31.2864437 31.6701012 32.1586151 32.7063751 33.1903496 33.6631622 34.1047516 34.6457825 35.209137 35.8735161 36.5991325 37.449894 38.3291245 39.4265823 40.6766434 41.8479576 43.5428085 45.5659561 48.1356888 51.964592 58.0580368 115.518631 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 60.7 44.8 43.2 16.2 36.7 58.6 44.8 56.0 -28.7 -1.9 -18.8 26.6 26.7 2 60.7 100.0 65.9 57.2 22.0 57.9 94.1 65.6 89.6 -47.6 -14.7 -35.9 46.3 40.4 3 44.8 65.9 100.0 38.1 -0.8 25.5 69.5 47.4 70.0 -18.1 -16.7 -40.1 76.4 25.2 4 43.2 57.2 38.1 100.0 6.3 28.2 57.6 42.9 61.9 -14.0 -19.1 -45.2 26.6 80.8 5 16.2 22.0 -0.8 6.3 100.0 82.9 -6.8 53.9 49.9 31.3 0.3 -0.9 -5.0 1.9 6 36.7 57.9 25.5 28.2 82.9 100.0 34.5 76.6 74.5 0.4 -5.4 -15.4 14.5 17.8 7 58.6 94.1 69.5 57.6 -6.8 34.5 100.0 54.8 76.2 -56.4 -14.1 -36.1 50.2 41.5 8 44.8 65.6 47.4 42.9 53.9 76.6 54.8 100.0 78.9 -5.5 -12.1 -28.0 32.2 29.7 9 56.0 89.6 70.0 61.9 49.9 74.5 76.2 78.9 100.0 -19.2 -16.7 -40.4 50.0 44.4 10 -28.7 -47.6 -18.1 -14.0 31.3 0.4 -56.4 -5.5 -19.2 100.0 2.7 6.8 -12.3 -9.4 11 -1.9 -14.7 -16.7 -19.1 0.3 -5.4 -14.1 -12.1 -16.7 2.7 100.0 50.6 -11.9 -17.2 12 -18.8 -35.9 -40.1 -45.2 -0.9 -15.4 -36.1 -28.0 -40.4 6.8 50.6 100.0 -23.9 -27.6 13 26.6 46.3 76.4 26.6 -5.0 14.5 50.2 32.2 50.0 -12.3 -11.9 -23.9 100.0 40.8 14 26.7 40.4 25.2 80.8 1.9 17.8 41.5 29.7 44.4 -9.4 -17.2 -27.6 40.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 142.660161 TOTAL CORRELATION OF ALL VARIABLES 65.7088484 ROUND 1: MAX CORR ( 65.6577536) AFTER KILLING INPUT VARIABLE 6 CONTR 2.59078058 ROUND 2: MAX CORR ( 65.5779913) AFTER KILLING INPUT VARIABLE 13 CONTR 3.23537677 ROUND 3: MAX CORR ( 65.4812249) AFTER KILLING INPUT VARIABLE 7 CONTR 3.56119831 ROUND 4: MAX CORR ( 65.3243242) AFTER KILLING INPUT VARIABLE 11 CONTR 4.53028517 ROUND 5: MAX CORR ( 65.0286304) AFTER KILLING INPUT VARIABLE 10 CONTR 6.20842694 ROUND 6: MAX CORR ( 64.6529646) AFTER KILLING INPUT VARIABLE 8 CONTR 6.97975135 ROUND 7: MAX CORR ( 64.0314577) AFTER KILLING INPUT VARIABLE 12 CONTR 8.94305663 ROUND 8: MAX CORR ( 63.5454493) AFTER KILLING INPUT VARIABLE 14 CONTR 7.87422686 ROUND 9: MAX CORR ( 62.0719379) AFTER KILLING INPUT VARIABLE 9 CONTR 13.6050965 ROUND 10: MAX CORR ( 61.8583577) AFTER KILLING INPUT VARIABLE 5 CONTR 5.14480908 ROUND 11: MAX CORR ( 61.5241755) AFTER KILLING INPUT VARIABLE 3 CONTR 6.42123344 ROUND 12: MAX CORR ( 60.6510714) AFTER KILLING INPUT VARIABLE 4 CONTR 10.3282002 LAST REMAINING VARIABLE: 2 total correlation to target: 65.7088484 % total significance: 85.5578337 sigma correlations of single variables to target: variable 2: 60.6510714 % , in sigma: 78.9722299 variable 3: 44.84964 % , in sigma: 58.3975848 variable 4: 43.1676831 % , in sigma: 56.2075511 variable 5: 16.1574225 % , in sigma: 21.0381722 variable 6: 36.6716525 % , in sigma: 47.7492335 variable 7: 58.635682 % , in sigma: 76.3480422 variable 8: 44.8474057 % , in sigma: 58.3946755 variable 9: 56.043275 % , in sigma: 72.9725345 variable 10: -28.7147884 % , in sigma: 37.3888016 variable 11: -1.92180147 % , in sigma: 2.50232921 variable 12: -18.785852 % , in sigma: 24.460584 variable 13: 26.6100967 % , in sigma: 34.6483356 variable 14: 26.7027714 % , in sigma: 34.7690049 variables sorted by significance: 1 most relevant variable 2 corr 60.6510696 , in sigma: 78.9722277 2 most relevant variable 4 corr 10.3282003 , in sigma: 13.4480891 3 most relevant variable 3 corr 6.42123365 , in sigma: 8.36092634 4 most relevant variable 5 corr 5.14480925 , in sigma: 6.69892632 5 most relevant variable 9 corr 13.6050968 , in sigma: 17.7148533 6 most relevant variable 14 corr 7.87422705 , in sigma: 10.2528324 7 most relevant variable 12 corr 8.94305706 , in sigma: 11.644529 8 most relevant variable 8 corr 6.97975159 , in sigma: 9.08815845 9 most relevant variable 10 corr 6.20842695 , in sigma: 8.08383611 10 most relevant variable 11 corr 4.53028536 , in sigma: 5.89877027 11 most relevant variable 7 corr 3.56119823 , in sigma: 4.63694638 12 most relevant variable 13 corr 3.23537683 , in sigma: 4.21270255 13 most relevant variable 6 corr 2.5907805 , in sigma: 3.37338992 global correlations between input variables: variable 2: 99.1598659 % variable 3: 93.5196754 % variable 4: 92.6542483 % variable 5: 95.1321871 % variable 6: 93.8858171 % variable 7: 98.7640464 % variable 8: 87.4290588 % variable 9: 98.7274008 % variable 10: 73.5439592 % variable 11: 52.5070253 % variable 12: 67.4940674 % variable 13: 86.6157562 % variable 14: 89.3018436 % significance loss when removing single variables: variable 2: corr = 6.60864721 % , sigma = 8.60495281 variable 3: corr = 13.6078711 % , sigma = 17.7184656 variable 4: corr = 14.7413939 % , sigma = 19.1943972 variable 5: corr = 13.154526 % , sigma = 17.1281764 variable 6: corr = 2.59078058 % , sigma = 3.37339004 variable 7: corr = 3.26911923 % , sigma = 4.25663768 variable 8: corr = 5.60005432 % , sigma = 7.29168945 variable 9: corr = 11.4015475 % , sigma = 14.8456674 variable 10: corr = 6.13110638 % , sigma = 7.98315894 variable 11: corr = 4.52241331 % , sigma = 5.88852027 variable 12: corr = 5.39153347 % , sigma = 7.02017971 variable 13: corr = 3.21583108 % , sigma = 4.18725252 variable 14: corr = 4.60372789 % , sigma = 5.99439794 Keep only 12 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 13 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 15.5194807 sigma out 15 active outputs RANK 2 NODE 11 --> 14.2137203 sigma out 15 active outputs RANK 3 NODE 3 --> 14.150034 sigma out 15 active outputs RANK 4 NODE 2 --> 12.1895599 sigma out 15 active outputs RANK 5 NODE 7 --> 12.0662651 sigma out 15 active outputs RANK 6 NODE 4 --> 12.0227957 sigma out 15 active outputs RANK 7 NODE 13 --> 11.7133656 sigma out 15 active outputs RANK 8 NODE 8 --> 11.6644335 sigma out 15 active outputs RANK 9 NODE 6 --> 10.704896 sigma out 15 active outputs RANK 10 NODE 9 --> 9.68063831 sigma out 15 active outputs RANK 11 NODE 5 --> 9.13662052 sigma out 15 active outputs RANK 12 NODE 10 --> 5.4148488 sigma out 15 active outputs RANK 13 NODE 12 --> 5.27260828 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 25.9427357 sigma in 13act. ( 25.1895065 sig out 1act.) RANK 2 NODE 8 --> 20.3086815 sigma in 13act. ( 21.4571552 sig out 1act.) RANK 3 NODE 6 --> 13.7659769 sigma in 13act. ( 14.4260149 sig out 1act.) RANK 4 NODE 9 --> 12.3066511 sigma in 13act. ( 12.0655441 sig out 1act.) RANK 5 NODE 2 --> 7.65021467 sigma in 13act. ( 7.07217455 sig out 1act.) RANK 6 NODE 15 --> 6.76106977 sigma in 13act. ( 7.32521057 sig out 1act.) RANK 7 NODE 13 --> 6.28476429 sigma in 13act. ( 5.27005768 sig out 1act.) RANK 8 NODE 4 --> 5.53592396 sigma in 13act. ( 6.15563822 sig out 1act.) RANK 9 NODE 3 --> 5.43151712 sigma in 13act. ( 4.62085152 sig out 1act.) RANK 10 NODE 14 --> 4.65583944 sigma in 13act. ( 5.08812618 sig out 1act.) RANK 11 NODE 5 --> 4.26331425 sigma in 13act. ( 4.55907917 sig out 1act.) RANK 12 NODE 12 --> 3.72723103 sigma in 13act. ( 3.64652276 sig out 1act.) RANK 13 NODE 11 --> 3.30010462 sigma in 13act. ( 3.18245721 sig out 1act.) RANK 14 NODE 7 --> 2.35996199 sigma in 13act. ( 2.53240132 sig out 1act.) RANK 15 NODE 10 --> 1.86891448 sigma in 13act. ( 0.471327096 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 25.1895065 sigma out 1act.( 25.9427357 sig in 13act.) RANK 2 NODE 8 --> 21.4571552 sigma out 1act.( 20.3086815 sig in 13act.) RANK 3 NODE 6 --> 14.4260149 sigma out 1act.( 13.7659769 sig in 13act.) RANK 4 NODE 9 --> 12.0655441 sigma out 1act.( 12.3066511 sig in 13act.) RANK 5 NODE 15 --> 7.32521057 sigma out 1act.( 6.76106977 sig in 13act.) RANK 6 NODE 2 --> 7.07217455 sigma out 1act.( 7.65021467 sig in 13act.) RANK 7 NODE 4 --> 6.15563822 sigma out 1act.( 5.53592396 sig in 13act.) RANK 8 NODE 13 --> 5.27005768 sigma out 1act.( 6.28476429 sig in 13act.) RANK 9 NODE 14 --> 5.08812618 sigma out 1act.( 4.65583944 sig in 13act.) RANK 10 NODE 3 --> 4.62085152 sigma out 1act.( 5.43151712 sig in 13act.) RANK 11 NODE 5 --> 4.55907917 sigma out 1act.( 4.26331425 sig in 13act.) RANK 12 NODE 12 --> 3.64652276 sigma out 1act.( 3.72723103 sig in 13act.) RANK 13 NODE 11 --> 3.18245721 sigma out 1act.( 3.30010462 sig in 13act.) RANK 14 NODE 7 --> 2.53240132 sigma out 1act.( 2.35996199 sig in 13act.) RANK 15 NODE 10 --> 0.471327096 sigma out 1act.( 1.86891448 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 41.4250488 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 16.1872158 sigma out 15 active outputs RANK 2 NODE 3 --> 15.1204443 sigma out 15 active outputs RANK 3 NODE 11 --> 14.8389893 sigma out 15 active outputs RANK 4 NODE 4 --> 14.0859175 sigma out 15 active outputs RANK 5 NODE 8 --> 13.35818 sigma out 15 active outputs RANK 6 NODE 7 --> 12.8634205 sigma out 15 active outputs RANK 7 NODE 2 --> 12.7604094 sigma out 15 active outputs RANK 8 NODE 13 --> 12.7399006 sigma out 15 active outputs RANK 9 NODE 6 --> 12.5856466 sigma out 15 active outputs RANK 10 NODE 12 --> 11.9166508 sigma out 15 active outputs RANK 11 NODE 5 --> 11.1079988 sigma out 15 active outputs RANK 12 NODE 9 --> 10.6633549 sigma out 15 active outputs RANK 13 NODE 10 --> 8.72489738 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 25.3685741 sigma in 13act. ( 23.5724239 sig out 1act.) RANK 2 NODE 8 --> 20.8477554 sigma in 13act. ( 21.247942 sig out 1act.) RANK 3 NODE 6 --> 13.3435116 sigma in 13act. ( 13.7143879 sig out 1act.) RANK 4 NODE 9 --> 12.3048372 sigma in 13act. ( 11.3366613 sig out 1act.) RANK 5 NODE 2 --> 10.7004633 sigma in 13act. ( 6.45683622 sig out 1act.) RANK 6 NODE 15 --> 9.26953697 sigma in 13act. ( 8.2335825 sig out 1act.) RANK 7 NODE 4 --> 9.12667179 sigma in 13act. ( 7.63657618 sig out 1act.) RANK 8 NODE 13 --> 8.91944981 sigma in 13act. ( 4.57399893 sig out 1act.) RANK 9 NODE 3 --> 8.79174137 sigma in 13act. ( 4.10501575 sig out 1act.) RANK 10 NODE 5 --> 8.7179985 sigma in 13act. ( 4.68692398 sig out 1act.) RANK 11 NODE 14 --> 8.47734928 sigma in 13act. ( 5.3770709 sig out 1act.) RANK 12 NODE 7 --> 8.33558464 sigma in 13act. ( 3.52896929 sig out 1act.) RANK 13 NODE 12 --> 7.67987013 sigma in 13act. ( 3.83850527 sig out 1act.) RANK 14 NODE 11 --> 6.81905079 sigma in 13act. ( 3.56566715 sig out 1act.) RANK 15 NODE 10 --> 4.56876135 sigma in 13act. ( 0.403262466 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 23.5724239 sigma out 1act.( 25.3685741 sig in 13act.) RANK 2 NODE 8 --> 21.247942 sigma out 1act.( 20.8477554 sig in 13act.) RANK 3 NODE 6 --> 13.7143879 sigma out 1act.( 13.3435116 sig in 13act.) RANK 4 NODE 9 --> 11.3366613 sigma out 1act.( 12.3048372 sig in 13act.) RANK 5 NODE 15 --> 8.2335825 sigma out 1act.( 9.26953697 sig in 13act.) RANK 6 NODE 4 --> 7.63657618 sigma out 1act.( 9.12667179 sig in 13act.) RANK 7 NODE 2 --> 6.45683622 sigma out 1act.( 10.7004633 sig in 13act.) RANK 8 NODE 14 --> 5.3770709 sigma out 1act.( 8.47734928 sig in 13act.) RANK 9 NODE 5 --> 4.68692398 sigma out 1act.( 8.7179985 sig in 13act.) RANK 10 NODE 13 --> 4.57399893 sigma out 1act.( 8.91944981 sig in 13act.) RANK 11 NODE 3 --> 4.10501575 sigma out 1act.( 8.79174137 sig in 13act.) RANK 12 NODE 12 --> 3.83850527 sigma out 1act.( 7.67987013 sig in 13act.) RANK 13 NODE 11 --> 3.56566715 sigma out 1act.( 6.81905079 sig in 13act.) RANK 14 NODE 7 --> 3.52896929 sigma out 1act.( 8.33558464 sig in 13act.) RANK 15 NODE 10 --> 0.403262466 sigma out 1act.( 4.56876135 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 40.2523956 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.405012876 *** contribution from regularisation: 0.00949044526 *** contribution from error: -0.414503306 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.45136106 *** contribution from regularisation: 0.00520510459 *** contribution from error: -0.456566155 *********************************************** -----------------> Test sample ENTER BFGS code START -18136.5454 -0.573674917 -0.400217265 EXIT FROM BFGS code FG_START 0. -0.573674917 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.472553581 *** contribution from regularisation: 0.00459956471 *** contribution from error: -0.477153152 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -18983.8946 -0.573674917 -37.2789192 EXIT FROM BFGS code FG_LNSRCH 0. -0.588311911 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.515244067 *** contribution from regularisation: 0.00601342926 *** contribution from error: -0.52125752 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20698.8994 -0.588311911 14.0719843 EXIT FROM BFGS code NEW_X -20698.8994 -0.588311911 14.0719843 ENTER BFGS code NEW_X -20698.8994 -0.588311911 14.0719843 EXIT FROM BFGS code FG_LNSRCH 0. -0.582662463 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.52064687 *** contribution from regularisation: 0.00679630646 *** contribution from error: -0.527443171 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20915.9478 -0.582662463 6.76410961 EXIT FROM BFGS code NEW_X -20915.9478 -0.582662463 6.76410961 ENTER BFGS code NEW_X -20915.9478 -0.582662463 6.76410961 EXIT FROM BFGS code FG_LNSRCH 0. -0.578892052 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.521168292 *** contribution from regularisation: 0.0066907783 *** contribution from error: -0.527859092 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20936.8943 -0.578892052 9.90844822 EXIT FROM BFGS code NEW_X -20936.8943 -0.578892052 9.90844822 ENTER BFGS code NEW_X -20936.8943 -0.578892052 9.90844822 EXIT FROM BFGS code FG_LNSRCH 0. -0.563313782 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.521571875 *** contribution from regularisation: 0.00638265349 *** contribution from error: -0.527954519 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20953.106 -0.563313782 11.1850529 EXIT FROM BFGS code NEW_X -20953.106 -0.563313782 11.1850529 ENTER BFGS code NEW_X -20953.106 -0.563313782 11.1850529 EXIT FROM BFGS code FG_LNSRCH 0. -0.543915451 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.521690547 *** contribution from regularisation: 0.00628162967 *** contribution from error: -0.527972162 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20957.8743 -0.543915451 9.81265736 EXIT FROM BFGS code NEW_X -20957.8743 -0.543915451 9.81265736 ENTER BFGS code NEW_X -20957.8743 -0.543915451 9.81265736 EXIT FROM BFGS code FG_LNSRCH 0. -0.358162642 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.522113562 *** contribution from regularisation: 0.00363202626 *** contribution from error: -0.525745571 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20974.8683 -0.358162642 -27.5996132 EXIT FROM BFGS code NEW_X -20974.8683 -0.358162642 -27.5996132 ENTER BFGS code NEW_X -20974.8683 -0.358162642 -27.5996132 EXIT FROM BFGS code FG_LNSRCH 0. -0.349417865 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 26.3106785 sigma out 15 active outputs RANK 2 NODE 1 --> 15.5778341 sigma out 15 active outputs RANK 3 NODE 6 --> 12.3637199 sigma out 15 active outputs RANK 4 NODE 7 --> 11.6313391 sigma out 15 active outputs RANK 5 NODE 8 --> 9.12533379 sigma out 15 active outputs RANK 6 NODE 13 --> 8.35310745 sigma out 15 active outputs RANK 7 NODE 2 --> 8.18116379 sigma out 15 active outputs RANK 8 NODE 5 --> 7.96481228 sigma out 15 active outputs RANK 9 NODE 9 --> 7.64110041 sigma out 15 active outputs RANK 10 NODE 11 --> 7.12652016 sigma out 15 active outputs RANK 11 NODE 4 --> 6.26571465 sigma out 15 active outputs RANK 12 NODE 10 --> 5.86018467 sigma out 15 active outputs RANK 13 NODE 3 --> 4.34442902 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 22.0443287 sigma in 13act. ( 19.9868526 sig out 1act.) RANK 2 NODE 7 --> 15.9146271 sigma in 13act. ( 12.2103405 sig out 1act.) RANK 3 NODE 8 --> 15.7795963 sigma in 13act. ( 12.1776104 sig out 1act.) RANK 4 NODE 15 --> 14.7618065 sigma in 13act. ( 11.1631088 sig out 1act.) RANK 5 NODE 12 --> 11.0968885 sigma in 13act. ( 8.4225235 sig out 1act.) RANK 6 NODE 11 --> 9.07893276 sigma in 13act. ( 6.29096222 sig out 1act.) RANK 7 NODE 6 --> 8.31164551 sigma in 13act. ( 6.02675867 sig out 1act.) RANK 8 NODE 14 --> 6.91539049 sigma in 13act. ( 4.483634 sig out 1act.) RANK 9 NODE 9 --> 6.78128052 sigma in 13act. ( 3.75954604 sig out 1act.) RANK 10 NODE 5 --> 5.94250488 sigma in 13act. ( 3.76333022 sig out 1act.) RANK 11 NODE 1 --> 5.61623859 sigma in 13act. ( 2.61882234 sig out 1act.) RANK 12 NODE 3 --> 5.08590937 sigma in 13act. ( 2.99635863 sig out 1act.) RANK 13 NODE 2 --> 4.83142471 sigma in 13act. ( 4.39228678 sig out 1act.) RANK 14 NODE 13 --> 3.15527081 sigma in 13act. ( 1.72581875 sig out 1act.) RANK 15 NODE 10 --> 2.74232888 sigma in 13act. ( 1.65382528 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 19.9868526 sigma out 1act.( 22.0443287 sig in 13act.) RANK 2 NODE 7 --> 12.2103405 sigma out 1act.( 15.9146271 sig in 13act.) RANK 3 NODE 8 --> 12.1776104 sigma out 1act.( 15.7795963 sig in 13act.) RANK 4 NODE 15 --> 11.1631088 sigma out 1act.( 14.7618065 sig in 13act.) RANK 5 NODE 12 --> 8.4225235 sigma out 1act.( 11.0968885 sig in 13act.) RANK 6 NODE 11 --> 6.29096222 sigma out 1act.( 9.07893276 sig in 13act.) RANK 7 NODE 6 --> 6.02675867 sigma out 1act.( 8.31164551 sig in 13act.) RANK 8 NODE 14 --> 4.483634 sigma out 1act.( 6.91539049 sig in 13act.) RANK 9 NODE 2 --> 4.39228678 sigma out 1act.( 4.83142471 sig in 13act.) RANK 10 NODE 5 --> 3.76333022 sigma out 1act.( 5.94250488 sig in 13act.) RANK 11 NODE 9 --> 3.75954604 sigma out 1act.( 6.78128052 sig in 13act.) RANK 12 NODE 3 --> 2.99635863 sigma out 1act.( 5.08590937 sig in 13act.) RANK 13 NODE 1 --> 2.61882234 sigma out 1act.( 5.61623859 sig in 13act.) RANK 14 NODE 13 --> 1.72581875 sigma out 1act.( 3.15527081 sig in 13act.) RANK 15 NODE 10 --> 1.65382528 sigma out 1act.( 2.74232888 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 32.5200691 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.52072835 *** contribution from regularisation: 0.00708501041 *** contribution from error: -0.527813375 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -20919.2209 -0.349417865 22.7777576 EXIT FROM BFGS code FG_LNSRCH 0. -0.356298238 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.520408869 *** contribution from regularisation: 0.00621697772 *** contribution from error: -0.526625872 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20906.3864 -0.356298238 -21.4396229 EXIT FROM BFGS code FG_LNSRCH 0. -0.358038276 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.519524515 *** contribution from regularisation: 0.0062870523 *** contribution from error: -0.525811553 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20870.8584 -0.358038276 -28.3605461 EXIT FROM BFGS code FG_LNSRCH 0. -0.358162135 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.519547462 *** contribution from regularisation: 0.00619841972 *** contribution from error: -0.525745869 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20871.7797 -0.358162135 -28.8746033 EXIT FROM BFGS code FG_LNSRCH 0. -0.358162642 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.51951623 *** contribution from regularisation: 0.00622938992 *** contribution from error: -0.52574563 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20870.5244 -0.358162642 -28.748457 EXIT FROM BFGS code FG_LNSRCH 0. -0.358162642 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.519513726 *** contribution from regularisation: 0.00623187516 *** contribution from error: -0.52574563 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20870.4246 -0.358162642 -28.7150345 EXIT FROM BFGS code FG_LNSRCH 0. -0.358162642 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.519558012 *** contribution from regularisation: 0.00618759915 *** contribution from error: -0.52574563 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20872.2033 -0.358162642 -28.6687813 EXIT FROM BFGS code FG_LNSRCH 0. -0.358162642 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.519511342 *** contribution from regularisation: 0.00623423839 *** contribution from error: -0.525745571 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20870.3296 -0.358162642 -28.559763 EXIT FROM BFGS code NEW_X -20870.3296 -0.358162642 -28.559763 ENTER BFGS code NEW_X -20870.3296 -0.358162642 -28.559763 EXIT FROM BFGS code CONVERGENC -20870.3296 -0.358162642 -28.559763 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 33.4514008 sigma out 15 active outputs RANK 2 NODE 1 --> 25.5782433 sigma out 15 active outputs RANK 3 NODE 7 --> 17.8794022 sigma out 15 active outputs RANK 4 NODE 6 --> 16.6940804 sigma out 15 active outputs RANK 5 NODE 2 --> 12.4502707 sigma out 15 active outputs RANK 6 NODE 8 --> 12.3398571 sigma out 15 active outputs RANK 7 NODE 5 --> 11.4572659 sigma out 15 active outputs RANK 8 NODE 13 --> 10.5432682 sigma out 15 active outputs RANK 9 NODE 9 --> 9.51674175 sigma out 15 active outputs RANK 10 NODE 11 --> 8.98809338 sigma out 15 active outputs RANK 11 NODE 4 --> 7.99851704 sigma out 15 active outputs RANK 12 NODE 3 --> 6.69966841 sigma out 15 active outputs RANK 13 NODE 10 --> 6.5558548 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 30.2011662 sigma in 13act. ( 28.1823273 sig out 1act.) RANK 2 NODE 7 --> 24.0650578 sigma in 13act. ( 19.7219353 sig out 1act.) RANK 3 NODE 8 --> 22.5604992 sigma in 13act. ( 17.9768639 sig out 1act.) RANK 4 NODE 15 --> 19.257019 sigma in 13act. ( 16.158783 sig out 1act.) RANK 5 NODE 12 --> 14.4880571 sigma in 13act. ( 12.2329082 sig out 1act.) RANK 6 NODE 11 --> 12.5583487 sigma in 13act. ( 9.58054161 sig out 1act.) RANK 7 NODE 6 --> 10.3983259 sigma in 13act. ( 8.32803249 sig out 1act.) RANK 8 NODE 14 --> 9.91394806 sigma in 13act. ( 7.65382576 sig out 1act.) RANK 9 NODE 5 --> 8.00853157 sigma in 13act. ( 6.36367464 sig out 1act.) RANK 10 NODE 9 --> 7.94591093 sigma in 13act. ( 5.85898399 sig out 1act.) RANK 11 NODE 1 --> 7.22942209 sigma in 13act. ( 4.98382759 sig out 1act.) RANK 12 NODE 3 --> 7.10481358 sigma in 13act. ( 5.44376135 sig out 1act.) RANK 13 NODE 2 --> 6.41542625 sigma in 13act. ( 5.87261057 sig out 1act.) RANK 14 NODE 13 --> 4.01818371 sigma in 13act. ( 2.60254836 sig out 1act.) RANK 15 NODE 10 --> 3.48130918 sigma in 13act. ( 2.42052674 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 28.1823273 sigma out 1act.( 30.2011662 sig in 13act.) RANK 2 NODE 7 --> 19.7219353 sigma out 1act.( 24.0650578 sig in 13act.) RANK 3 NODE 8 --> 17.9768639 sigma out 1act.( 22.5604992 sig in 13act.) RANK 4 NODE 15 --> 16.158783 sigma out 1act.( 19.257019 sig in 13act.) RANK 5 NODE 12 --> 12.2329082 sigma out 1act.( 14.4880571 sig in 13act.) RANK 6 NODE 11 --> 9.58054161 sigma out 1act.( 12.5583487 sig in 13act.) RANK 7 NODE 6 --> 8.32803249 sigma out 1act.( 10.3983259 sig in 13act.) RANK 8 NODE 14 --> 7.65382576 sigma out 1act.( 9.91394806 sig in 13act.) RANK 9 NODE 5 --> 6.36367464 sigma out 1act.( 8.00853157 sig in 13act.) RANK 10 NODE 2 --> 5.87261057 sigma out 1act.( 6.41542625 sig in 13act.) RANK 11 NODE 9 --> 5.85898399 sigma out 1act.( 7.94591093 sig in 13act.) RANK 12 NODE 3 --> 5.44376135 sigma out 1act.( 7.10481358 sig in 13act.) RANK 13 NODE 1 --> 4.98382759 sigma out 1act.( 7.22942209 sig in 13act.) RANK 14 NODE 13 --> 2.60254836 sigma out 1act.( 4.01818371 sig in 13act.) RANK 15 NODE 10 --> 2.42052674 sigma out 1act.( 3.48130918 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 48.0963326 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.51948756 *** contribution from regularisation: 0.0062580416 *** contribution from error: -0.52574563 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 26930 Closing output file done