NNInput NNInputs_160.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= 12128 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 = 3361 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 3361 Chosen entries: 3361 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.383369 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 3361 Entries to split: 3361 Test with : 1680 Train with : 1680 ********************************************* * 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= 3361 for Signal Prepared event 0 for Signal with 3361 events ====Entry 0 Variable Ht : 226.845 Variable LepAPt : 21.244 Variable LepBPt : 18.4378 Variable MetSigLeptonsJets : 11.522 Variable MetSpec : 119.421 Variable SumEtLeptonsJets : 107.424 Variable VSumJetLeptonsPt : 105.049 Variable addEt : 159.103 Variable dPhiLepSumMet : 3.04094 Variable dPhiLeptons : 0.499351 Variable dRLeptons : 0.499394 Variable lep1_E : 28.8917 Variable lep2_E : 25.1869 ===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 = 2160 Ht = 226.845 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 21.2443 LepAPt = 21.244 LepBEt = 18.4381 LepBPt = 18.4378 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 119.421 MetDelPhi = 2.77323 MetSig = 8.30261 MetSigLeptonsJets = 11.522 MetSpec = 119.421 Mjj = 0 MostCentralJetEta = -1.90759 MtllMet = 169.565 Njets = 1 SB = 0 SumEt = 206.885 SumEtJets = 0 SumEtLeptonsJets = 107.424 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 105.049 addEt = 159.103 dPhiLepSumMet = 3.04094 dPhiLeptons = 0.499351 dRLeptons = 0.499394 diltype = 81 dimass = 9.78527 event = 1838 jet1_Et = 67.7422 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 28.8917 lep2_E = 25.1869 rand = 0.999742 run = 224085 weight = 4.28965e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===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 = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 4.2799 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 319 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 12128 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 319 negative weights. Signal fraction: 69.0772095 % ------------------------------ 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 58.2318687 67.2503815 68.3505249 68.8879242 69.9656677 70.2056885 70.2850266 73.4086914 73.9410248 74.4319534 75.5462418 77.3836288 78.7110062 79.6495514 79.7740021 79.7868118 80.6390228 81.6310959 82.6911774 83.7357941 84.5278931 86.3019867 88.5241928 90.0141602 91.6284256 91.9643707 92.0072937 93.0055771 93.0913162 94.677063 96.166748 97.2659607 98.3698044 99.5531006 100.922531 101.538177 102.364174 103.261002 104.339348 105.53701 105.947929 106.552689 107.806152 108.913528 109.203339 110.203011 111.729317 112.798004 114.385193 115.452736 116.254982 116.280144 117.319946 118.309883 119.617447 120.849899 121.016785 122.131363 123.932274 125.374634 127.125687 128.152908 129.557678 130.790268 132.175995 133.500687 134.932083 136.005432 137.641968 138.727905 139.875031 141.350739 142.303162 143.639481 145.509033 147.055695 148.386734 150.474182 152.672241 154.899261 156.851074 158.983322 160.906937 163.934616 167.204391 170.572388 173.086517 175.308105 179.44545 182.522919 185.747253 189.227142 194.25827 199.013092 205.586639 214.505142 224.64212 237.074921 252.820709 289.847565 613.943237 ------------------------------ Transdef: Tab for variable 3 20.0047188 20.7098141 21.4181252 21.5222816 21.5828819 22.1471405 22.2726021 22.5847473 22.8622437 22.8647747 23.2076855 23.2083931 23.5908012 23.7030315 23.7383003 23.911644 24.1329422 24.5508003 24.7847939 25.1834373 25.5021839 25.7360687 26.0436897 26.4094505 26.688488 27.0118427 27.1259613 27.275959 27.5520515 27.6822891 27.8596954 27.9249477 28.0548363 28.3620682 28.5582676 28.6316948 28.9672356 29.1317196 29.1377583 29.3272438 29.3684425 29.6247253 29.9236107 30.1650696 30.4448948 30.5453396 30.7109413 30.9684525 31.2292652 31.4207268 31.6104355 31.8383522 31.9155655 31.9666786 32.0669518 32.1179886 32.2804146 32.4728317 32.779068 33.0329819 33.2491608 33.4237823 33.6202812 33.9420547 34.1589813 34.2978058 34.5848694 34.8617401 35.1483727 35.489563 35.8313484 36.159008 36.48452 36.772522 36.8553238 37.0184784 37.3136673 37.6289749 37.831665 38.2121506 38.5728531 38.9414024 39.3613434 39.636795 39.8950729 39.9828491 40.2518234 40.4619789 40.6139755 40.9009323 41.3714447 41.8483353 42.4780426 43.2084274 44.6018982 45.6202126 46.6374664 48.1961212 50.9442596 54.4273987 86.3822861 ------------------------------ Transdef: Tab for variable 4 10.0092888 10.3658133 10.3762302 10.3774252 10.5278254 10.5862026 10.6304226 10.7579155 10.8840809 10.94454 11.0015125 11.0753012 11.2113743 11.3099022 11.42062 11.4378223 11.4382238 11.6865578 11.7535744 11.757762 12.1044903 12.1874027 12.3876648 12.6544075 12.6807146 12.8899698 13.0711594 13.3548927 13.3955402 13.4767036 13.6496964 13.6657906 13.8770418 13.9569492 14.102356 14.3434544 14.5713558 14.90312 15.2631912 15.3595533 15.4407587 15.7532921 16.0838661 16.5270996 16.5918274 16.8072891 17.2596378 17.5570297 17.8910751 18.3624496 18.495472 18.6742477 18.7537308 18.9160423 19.3119736 19.7008514 20.0234413 20.2542 20.4328842 20.7492294 21.0001678 21.1523724 21.1527786 21.3670597 21.5866051 21.8199043 21.9843292 22.1692162 22.379261 22.5758972 22.7966766 23.0354328 23.2699184 23.5292225 23.7441654 23.9776287 24.179697 24.3843174 24.6787758 24.942131 25.2487297 25.7002106 26.0656109 26.4455853 26.7566833 27.1233521 27.4343128 27.7579441 28.1495056 28.5812111 29.0044746 29.3500118 29.880497 30.2846317 30.6802979 31.2714958 32.0909843 32.763031 33.6622124 34.7817497 37.8311996 ------------------------------ Transdef: Tab for variable 5 2.29944849 3.06443143 3.3016367 3.70917964 3.7880106 4.02380371 4.1832943 4.22206354 4.44137383 4.56086063 4.59256983 4.74468708 4.96286392 5.13955307 5.14415455 5.15498495 5.26705503 5.2737875 5.35633659 5.46775341 5.5929594 5.68121004 5.77463579 5.83799124 5.84225178 5.94954824 6.00003815 6.0141573 6.10445309 6.13360596 6.20310163 6.21044922 6.25600433 6.2617197 6.27200508 6.27638817 6.27643251 6.33960104 6.35170937 6.44999838 6.49787712 6.50946569 6.5509758 6.55803299 6.62406158 6.65231085 6.69441175 6.76344538 6.83065796 6.88176441 6.94192314 6.96736813 7.00017262 7.04370308 7.04408932 7.10076714 7.16651154 7.1682148 7.22524834 7.27787733 7.31939793 7.38565445 7.42869711 7.49686337 7.54812145 7.61489439 7.6188097 7.67488861 7.7354188 7.79819012 7.85251474 7.91646004 7.96820831 8.03132248 8.101017 8.15828133 8.23346901 8.30058098 8.3626194 8.4187088 8.48619461 8.54333496 8.59418106 8.65528488 8.73943329 8.81322098 8.9091177 8.99302864 9.11312103 9.17240715 9.27101898 9.40445328 9.51424408 9.67265511 9.82820511 10.0138865 10.2656822 10.5113373 10.9190063 11.9488029 16.9606018 ------------------------------ Transdef: Tab for variable 6 25.0229874 27.0985718 28.7893105 28.8051319 29.3504333 30.4916649 31.2596188 31.8920517 32.9632492 32.96418 33.9999161 34.7839203 34.8478775 35.2478218 35.971611 36.2701988 36.4876823 37.1343918 37.4986572 37.8163605 37.8626671 38.0401878 38.1604271 38.9626312 39.5144043 40.0179062 40.280571 40.4986763 40.557579 41.6146545 42.0783691 42.1690407 42.7725563 42.7746124 42.915657 43.2155457 43.915432 44.754776 44.7865753 45.4854736 45.9808731 46.6574364 46.8160133 47.4077377 48.1656342 49.13134 49.9073334 50.013813 50.5604935 50.963192 51.3388214 52.0491943 52.7861481 53.3021011 54.0135231 54.5751648 55.2148705 56.0152664 56.759304 57.2898598 58.0612259 58.720787 59.1279602 59.8114624 60.5685501 61.2333679 62.0069542 62.7689514 63.4143829 64.2762604 64.9365387 65.7396698 66.6727753 67.4848175 68.1138763 68.688858 69.4073792 70.029129 70.8716049 71.6320419 72.4949493 73.5685272 74.491951 75.5334549 76.2952576 77.4830475 78.3911285 79.5951004 80.9347839 81.9784698 83.7219849 85.764801 88.1040878 90.6573029 93.4667511 96.6215057 100.643219 105.022217 112.443634 122.112259 196.615463 ------------------------------ Transdef: Tab for variable 7 30.3449535 32.4570236 32.9031982 33.7945938 35.0029755 35.9276581 36.5659027 36.8697052 37.0043755 37.0685043 37.5024948 38.2099838 38.2148705 38.2984238 39.5215836 40.3705063 40.8865662 41.6181412 41.7321281 41.9663391 42.5141983 43.0891495 43.1651001 43.6349792 44.7502518 45.149189 45.3745041 46.4417191 47.2211647 47.2795029 47.9947739 48.7249374 49.4654846 50.2264519 50.5675011 50.9207649 51.4981728 52.214653 52.9504089 53.6809387 54.3742142 55.0291061 55.7395782 56.4603996 57.2329407 58.161026 58.8335114 59.7375565 60.4904594 61.3168716 61.3601227 62.2663651 62.7873383 63.7337418 63.8201256 64.5513 65.4920883 66.159874 66.8051529 67.8576508 68.5129089 69.3610077 70.2558289 71.024437 72.1537933 72.940506 73.3702545 73.8537445 75.084343 76.5413284 77.6238251 78.4819641 79.5085526 81.6203003 81.9530411 82.5726166 83.7557297 85.4421921 86.9730148 88.0246201 89.5197754 91.1659393 91.6303101 92.6931915 94.1997147 96.452507 98.8490753 100.851837 103.907364 106.671463 108.789536 111.396759 115.205887 118.832626 123.415787 126.83638 132.624878 140.145782 151.376221 174.958344 342.958099 ------------------------------ Transdef: Tab for variable 8 2.50452757 25.310358 29.5901756 30.1748238 30.180212 32.0908356 32.4715729 32.7662315 32.9826927 33.894413 34.064064 35.8263855 36.1563416 36.4113083 36.5236702 36.6069946 36.8707581 37.0702019 37.3346405 37.3390045 38.13871 38.5784378 38.8942375 39.3323441 39.7959671 40.4264297 41.078743 41.2151718 41.3102226 41.6406631 42.0570602 42.0646019 42.096489 42.6479568 42.749485 43.4953842 43.6854401 44.1587067 44.276535 44.8132744 45.2182465 45.6325226 46.1528625 46.7278748 47.1645966 47.8071442 48.31493 48.8557663 49.3471909 49.5680389 50.1991272 50.6638222 51.2052765 51.8269424 52.4556961 52.9982224 53.5670624 53.9588623 54.4839859 55.1415901 55.6498108 56.1099472 56.7963028 57.3212509 58.0320358 58.4842377 59.1393318 59.7596207 60.5283775 61.0050468 61.6215744 62.2165489 62.7801895 63.3998222 64.2007065 64.9674988 65.5590973 66.3126831 67.1938019 68.0137787 68.7842789 69.7550049 70.5748444 71.3686371 71.9441605 72.8887634 73.9450378 75.3330688 76.7925415 78.141571 79.7521515 81.5374069 84.1747894 85.9039612 88.8588562 92.3315735 98.0868988 104.380966 112.040871 121.937302 276.83551 ------------------------------ Transdef: Tab for variable 9 56.5870285 67.2503815 68.0850906 68.3505249 68.8879242 70.2056885 70.2850266 71.6893997 71.927948 73.4239044 74.4319534 74.8852921 75.5462418 77.0580292 78.7071304 78.9744339 79.6417618 79.7675934 79.7804108 80.6390228 80.6521149 82.4233398 82.6911774 83.6769485 84.5278931 84.7378387 85.1539612 86.5013885 88.2068176 89.6047974 89.6523285 90.4212341 90.5476074 91.586792 91.9674072 92.0072937 92.1824646 93.1037521 93.3456879 94.6193085 95.6509247 96.6595612 97.7246246 98.9883881 99.9609528 100.757004 101.533844 101.665024 102.642273 103.519394 104.339348 105.214951 106.26265 107.204529 108.164902 109.013359 110.164703 111.025635 111.698814 112.649635 113.664749 114.910126 115.874802 116.668022 117.606125 118.309883 119.612816 120.810043 121.754044 122.623703 123.862015 124.998901 125.962631 127.286377 128.440063 129.335815 130.413361 131.5401 132.676361 133.36261 134.526474 135.546463 136.416351 137.713409 138.801559 139.783173 141.496124 142.859848 144.341003 146.016144 147.054321 148.434906 149.699432 151.941498 154.648346 156.622177 159.074982 162.977127 167.339066 178.154587 315.440338 ------------------------------ Transdef: Tab for variable 10 0.607050359 1.30085051 1.65301371 1.79952872 1.88774276 1.8947978 1.9956677 2.08804083 2.14405107 2.20003891 2.2568934 2.30275631 2.33889055 2.37525606 2.41588116 2.44320035 2.45182323 2.48300266 2.5143075 2.54346371 2.56761336 2.59505582 2.61862659 2.61894846 2.61956263 2.64341593 2.66719913 2.69711351 2.71913838 2.74668837 2.76308608 2.77353787 2.77579355 2.79854488 2.81744862 2.82987785 2.83978271 2.84136963 2.84514809 2.84828711 2.86392617 2.87197924 2.87391281 2.88249683 2.89654016 2.89714336 2.90818453 2.91872883 2.92761016 2.93321419 2.93792915 2.94954348 2.94972491 2.95525503 2.96488833 2.96568036 2.97187233 2.97963762 2.98696375 2.98909712 2.99653625 3.00349045 3.01074076 3.01672268 3.02250314 3.0281949 3.03435636 3.0421586 3.04743457 3.05389071 3.05400038 3.05922174 3.06414986 3.06648636 3.06891322 3.07297897 3.07848978 3.0829792 3.08795118 3.09263611 3.09482193 3.09660625 3.10122228 3.10450506 3.10756683 3.10972977 3.1107173 3.11425424 3.11427164 3.11611533 3.1168344 3.11959553 3.12378311 3.12804461 3.12907743 3.13051844 3.1309166 3.13363457 3.13385415 3.13805103 3.14159226 ------------------------------ Transdef: Tab for variable 11 0.000411868095 0.00456440449 0.00905147195 0.0232197046 0.0349693969 0.0458506346 0.05952847 0.0739532411 0.0870329142 0.100841463 0.117857069 0.1311481 0.141782284 0.144183785 0.153919578 0.154146671 0.167015672 0.172001362 0.173839062 0.183321953 0.192183331 0.202974141 0.20838356 0.210368514 0.213449121 0.219227791 0.228675604 0.238658607 0.244733274 0.244783878 0.250997543 0.261692643 0.267147332 0.275093704 0.280632377 0.285658121 0.289572954 0.297164798 0.305046856 0.315249294 0.316302657 0.323446691 0.331728607 0.339017153 0.339983374 0.344389319 0.349448323 0.351570547 0.357667208 0.364750504 0.370045424 0.376222432 0.381306022 0.388853192 0.393151402 0.398216367 0.401797086 0.406603277 0.412039638 0.417431116 0.422297865 0.425525427 0.426438808 0.429399908 0.436358213 0.44230485 0.446669519 0.452223063 0.456941187 0.460082054 0.463908017 0.472314954 0.47311914 0.479930639 0.480936766 0.488734424 0.499438941 0.505160928 0.509517252 0.514195681 0.522698283 0.524300277 0.530100942 0.530208528 0.537270844 0.544818282 0.546064317 0.558730841 0.570038438 0.579800725 0.601007402 0.623049974 0.633371949 0.642921209 0.662315607 0.697636127 0.712530732 0.742718577 0.863429487 0.883980572 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.223213226 0.229011357 0.245130986 0.302297771 0.315550357 0.398219943 0.402745306 0.404186428 0.407034516 0.409745514 0.41171509 0.414890528 0.418018907 0.420411885 0.420416623 0.422535598 0.424787551 0.42677778 0.429475158 0.430025399 0.432455063 0.436466098 0.438478619 0.440771759 0.443786353 0.44688195 0.449317634 0.451775849 0.454174519 0.45686394 0.459204555 0.461787254 0.464319557 0.466486573 0.469742984 0.473825455 0.477381527 0.479966491 0.483719289 0.486236602 0.48894465 0.492826015 0.495308518 0.496006787 0.499479175 0.500605464 0.502212763 0.505092263 0.508346438 0.512010813 0.516604424 0.517950714 0.519464374 0.523087263 0.527342081 0.530937552 0.53647238 0.541455388 0.545327783 0.549278259 0.549279392 0.552923918 0.558545589 0.562001884 0.566060841 0.57253319 0.577749014 0.585644126 0.593632519 0.595390558 0.597216487 0.604678392 0.613899827 0.62020278 0.620240092 0.62787497 0.634269238 0.636776447 0.64333111 0.652276397 0.660378098 0.660378993 0.672024131 0.675214291 0.678242087 0.683848977 0.694733143 0.698553801 0.707381129 0.722730637 0.741839886 0.748807192 0.761587262 0.771126628 0.771338284 0.795659244 0.866368055 0.873316765 0.91804558 0.992191434 1.13453126 ------------------------------ Transdef: Tab for variable 13 20.0277634 22.6995602 23.6689682 23.7518826 24.3110046 24.4323444 24.5733185 24.7652988 25.0910645 25.7283916 26.2965069 26.9457436 27.2578259 27.3607063 27.6511765 27.6891441 27.8601551 28.1183929 28.6486282 28.8618393 29.0836277 29.2381039 29.4150124 29.4266586 29.6389866 29.7960281 29.9770546 30.4475136 30.456356 30.5553246 30.7284527 31.0666351 31.0851517 31.5243607 31.7621651 32.0551186 32.3100891 32.3631935 32.4901237 32.6798859 32.8298111 33.1153336 33.3847809 33.6588669 33.8054276 34.1357727 34.3131027 34.5439911 34.5923042 34.978447 35.2331429 35.4774742 35.7715187 36.0791626 36.3876953 36.7270775 37.0230179 37.4715652 37.7163544 38.0428314 38.4528809 38.7327499 39.1599274 39.5892944 39.6226196 39.9268265 40.277092 40.6845627 41.0720749 41.1977158 41.4273148 41.8921509 42.3118057 42.5780907 43.2071762 43.5536346 43.6075821 44.0539017 44.4682083 45.0038147 45.4215202 45.8913269 46.4044304 46.9990845 47.0902481 47.4107513 48.4380798 49.0603027 50.1234283 51.0309219 51.7285461 52.5943069 53.7976608 54.9442101 56.4430923 57.7331696 59.4865036 61.8253021 65.9386826 70.5661926 109.754379 ------------------------------ Transdef: Tab for variable 14 10.0140896 10.5828342 10.7234955 10.8578959 10.9784288 11.2473221 11.3356609 11.497015 11.6848946 11.7239475 11.7944164 12.2188196 12.2653561 12.3014278 12.6798592 12.825779 13.2008743 13.3807507 13.476347 13.6206436 13.6883678 14.2177353 14.6642895 15.1802406 15.5789032 15.7349272 16.2108364 16.2683868 16.4956474 16.5936356 16.9537888 17.1854324 17.273613 17.6710091 18.0100288 18.2506447 18.4804955 18.6412373 18.8693523 19.2133331 19.2697067 19.6301613 20.0326347 20.4481792 20.7395821 21.0868092 21.3719063 21.6972694 22.02248 22.2364807 22.5343246 22.8397942 23.0801697 23.3585014 23.6049118 23.8861961 24.2445564 24.5113926 24.8742447 25.0861511 25.4584656 25.7931156 26.0917377 26.3450909 26.6445351 27.1203175 27.546711 27.8517685 28.0589523 28.3870316 28.8034782 29.1556549 29.5229626 29.9549026 30.2771988 30.3693981 30.6845531 31.1422997 31.5655403 31.9848862 32.3159943 32.7469025 33.2655106 33.805439 33.9905167 34.2171097 34.284874 34.9515381 35.7181244 36.3377419 37.2334442 37.9305496 38.895752 39.9734802 40.7731438 41.7470016 43.0324326 45.1511002 47.6418839 52.3133698 69.9747086 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 57.9 30.6 48.3 34.4 49.9 52.0 51.7 58.3 -17.1 -9.8 -11.8 32.2 44.9 2 57.9 100.0 46.6 54.2 42.8 75.0 93.9 77.5 89.6 -40.6 -26.2 -32.3 44.2 46.7 3 30.6 46.6 100.0 24.8 9.4 26.3 47.9 38.3 55.6 -2.1 -21.9 -29.3 82.7 17.8 4 48.3 54.2 24.8 100.0 32.0 47.2 48.4 55.7 63.8 0.5 -28.3 -51.3 30.0 83.8 5 34.4 42.8 9.4 32.0 100.0 86.3 11.6 59.6 69.2 26.6 -5.2 -0.5 5.6 24.5 6 49.9 75.0 26.3 47.2 86.3 100.0 51.7 81.4 88.2 -1.7 -13.3 -12.2 21.8 38.4 7 52.0 93.9 47.9 48.4 11.6 51.7 100.0 66.1 73.9 -54.3 -26.6 -35.7 46.2 43.1 8 51.7 77.5 38.3 55.7 59.6 81.4 66.1 100.0 85.1 -7.3 -19.1 -28.1 33.5 45.5 9 58.3 89.6 55.6 63.8 69.2 88.2 73.9 85.1 100.0 -10.7 -25.3 -32.7 49.3 52.4 10 -17.1 -40.6 -2.1 0.5 26.6 -1.7 -54.3 -7.3 -10.7 100.0 13.2 10.7 -8.1 -4.6 11 -9.8 -26.2 -21.9 -28.3 -5.2 -13.3 -26.6 -19.1 -25.3 13.2 100.0 49.0 -21.2 -31.6 12 -11.8 -32.3 -29.3 -51.3 -0.5 -12.2 -35.7 -28.1 -32.7 10.7 49.0 100.0 -33.8 -44.2 13 32.2 44.2 82.7 30.0 5.6 21.8 46.2 33.5 49.3 -8.1 -21.2 -33.8 100.0 39.1 14 44.9 46.7 17.8 83.8 24.5 38.4 43.1 45.5 52.4 -4.6 -31.6 -44.2 39.1 100.0 TOTAL CORRELATION TO TARGET (diagonal) 150.532514 TOTAL CORRELATION OF ALL VARIABLES 66.309979 ROUND 1: MAX CORR ( 66.2826444) AFTER KILLING INPUT VARIABLE 2 CONTR 1.9037791 ROUND 2: MAX CORR ( 66.2484938) AFTER KILLING INPUT VARIABLE 13 CONTR 2.12744301 ROUND 3: MAX CORR ( 66.2057134) AFTER KILLING INPUT VARIABLE 6 CONTR 2.38042957 ROUND 4: MAX CORR ( 66.1239422) AFTER KILLING INPUT VARIABLE 8 CONTR 3.28949109 ROUND 5: MAX CORR ( 66.0019911) AFTER KILLING INPUT VARIABLE 11 CONTR 4.01408914 ROUND 6: MAX CORR ( 65.8079735) AFTER KILLING INPUT VARIABLE 10 CONTR 5.05701959 ROUND 7: MAX CORR ( 65.355258) AFTER KILLING INPUT VARIABLE 14 CONTR 7.70581783 ROUND 8: MAX CORR ( 64.758462) AFTER KILLING INPUT VARIABLE 9 CONTR 8.81200057 ROUND 9: MAX CORR ( 64.27911) AFTER KILLING INPUT VARIABLE 3 CONTR 7.86475757 ROUND 10: MAX CORR ( 62.2007237) AFTER KILLING INPUT VARIABLE 12 CONTR 16.2133881 ROUND 11: MAX CORR ( 59.3148843) AFTER KILLING INPUT VARIABLE 4 CONTR 18.7263057 ROUND 12: MAX CORR ( 51.9740075) AFTER KILLING INPUT VARIABLE 5 CONTR 28.5824779 LAST REMAINING VARIABLE: 7 total correlation to target: 66.309979 % total significance: 32.7985648 sigma correlations of single variables to target: variable 2: 57.9331356 % , in sigma: 28.6551697 variable 3: 30.5805267 % , in sigma: 15.1258891 variable 4: 48.3448227 % , in sigma: 23.9125517 variable 5: 34.434425 % , in sigma: 17.032123 variable 6: 49.8842731 % , in sigma: 24.6740022 variable 7: 51.9740075 % , in sigma: 25.7076368 variable 8: 51.7217093 % , in sigma: 25.5828438 variable 9: 58.3139148 % , in sigma: 28.8435126 variable 10: -17.0898248 % , in sigma: 8.45305236 variable 11: -9.83920773 % , in sigma: 4.86671685 variable 12: -11.8387312 % , in sigma: 5.8557309 variable 13: 32.2062815 % , in sigma: 15.9300278 variable 14: 44.8777368 % , in sigma: 22.1976448 variables sorted by significance: 1 most relevant variable 7 corr 51.9740067 , in sigma: 25.7076363 2 most relevant variable 5 corr 28.5824776 , in sigma: 14.1376043 3 most relevant variable 4 corr 18.726305 , in sigma: 9.2624962 4 most relevant variable 12 corr 16.2133884 , in sigma: 8.01954517 5 most relevant variable 3 corr 7.86475754 , in sigma: 3.89010468 6 most relevant variable 9 corr 8.81200027 , in sigma: 4.3586345 7 most relevant variable 14 corr 7.7058177 , in sigma: 3.81148909 8 most relevant variable 10 corr 5.05701971 , in sigma: 2.50132772 9 most relevant variable 11 corr 4.01408911 , in sigma: 1.98546831 10 most relevant variable 8 corr 3.28949118 , in sigma: 1.62706415 11 most relevant variable 6 corr 2.38042951 , in sigma: 1.17741964 12 most relevant variable 13 corr 2.12744308 , in sigma: 1.05228626 13 most relevant variable 2 corr 1.90377915 , in sigma: 0.941656516 global correlations between input variables: variable 2: 99.4219991 % variable 3: 93.297095 % variable 4: 92.091251 % variable 5: 97.8233372 % variable 6: 96.8137557 % variable 7: 99.2948544 % variable 8: 89.4894898 % variable 9: 99.122757 % variable 10: 74.1415736 % variable 11: 54.3968583 % variable 12: 67.4881827 % variable 13: 89.2202976 % variable 14: 89.6250892 % significance loss when removing single variables: variable 2: corr = 1.9037791 % , sigma = 0.941656492 variable 3: corr = 8.18328955 % , sigma = 4.04765854 variable 4: corr = 13.1555504 % , sigma = 6.50706243 variable 5: corr = 11.2081577 % , sigma = 5.54383355 variable 6: corr = 2.622421 % , sigma = 1.29711465 variable 7: corr = 5.02163463 % , sigma = 2.48382538 variable 8: corr = 4.34987574 % , sigma = 2.15155672 variable 9: corr = 8.12424607 % , sigma = 4.01845416 variable 10: corr = 5.95663833 % , sigma = 2.94630147 variable 11: corr = 3.6670609 % , sigma = 1.81381952 variable 12: corr = 15.2158311 % , sigma = 7.5261285 variable 13: corr = 1.93029486 % , sigma = 0.954771844 variable 14: corr = 5.75004966 % , sigma = 2.84411757 Keep only 6 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 7 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 7 --> 6.74456215 sigma out 15 active outputs RANK 2 NODE 6 --> 4.0000124 sigma out 15 active outputs RANK 3 NODE 1 --> 3.92044783 sigma out 15 active outputs RANK 4 NODE 4 --> 3.81495881 sigma out 15 active outputs RANK 5 NODE 3 --> 3.46704221 sigma out 15 active outputs RANK 6 NODE 5 --> 2.77647734 sigma out 15 active outputs RANK 7 NODE 2 --> 2.3177619 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 7.59598923 sigma in 7act. ( 10.1245327 sig out 1act.) RANK 2 NODE 7 --> 3.25761628 sigma in 7act. ( 3.50476193 sig out 1act.) RANK 3 NODE 5 --> 2.80821323 sigma in 7act. ( 2.76308942 sig out 1act.) RANK 4 NODE 10 --> 2.79280877 sigma in 7act. ( 2.80329394 sig out 1act.) RANK 5 NODE 9 --> 2.74976087 sigma in 7act. ( 2.49187589 sig out 1act.) RANK 6 NODE 11 --> 2.71819782 sigma in 7act. ( 1.74902046 sig out 1act.) RANK 7 NODE 2 --> 2.39884353 sigma in 7act. ( 2.09474373 sig out 1act.) RANK 8 NODE 1 --> 1.80139709 sigma in 7act. ( 1.79776812 sig out 1act.) RANK 9 NODE 14 --> 1.74092865 sigma in 7act. ( 1.46861506 sig out 1act.) RANK 10 NODE 6 --> 1.34018302 sigma in 7act. ( 1.34956419 sig out 1act.) RANK 11 NODE 8 --> 1.0845263 sigma in 7act. ( 0.892490149 sig out 1act.) RANK 12 NODE 12 --> 0.944110751 sigma in 7act. ( 0.362273723 sig out 1act.) RANK 13 NODE 3 --> 0.917348564 sigma in 7act. ( 0.677436173 sig out 1act.) RANK 14 NODE 13 --> 0.688417912 sigma in 7act. ( 0.387494206 sig out 1act.) RANK 15 NODE 4 --> 0.598437786 sigma in 7act. ( 0.432899237 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 10.1245327 sigma out 1act.( 7.59598923 sig in 7act.) RANK 2 NODE 7 --> 3.50476193 sigma out 1act.( 3.25761628 sig in 7act.) RANK 3 NODE 10 --> 2.80329394 sigma out 1act.( 2.79280877 sig in 7act.) RANK 4 NODE 5 --> 2.76308942 sigma out 1act.( 2.80821323 sig in 7act.) RANK 5 NODE 9 --> 2.49187589 sigma out 1act.( 2.74976087 sig in 7act.) RANK 6 NODE 2 --> 2.09474373 sigma out 1act.( 2.39884353 sig in 7act.) RANK 7 NODE 1 --> 1.79776812 sigma out 1act.( 1.80139709 sig in 7act.) RANK 8 NODE 11 --> 1.74902046 sigma out 1act.( 2.71819782 sig in 7act.) RANK 9 NODE 14 --> 1.46861506 sigma out 1act.( 1.74092865 sig in 7act.) RANK 10 NODE 6 --> 1.34956419 sigma out 1act.( 1.34018302 sig in 7act.) RANK 11 NODE 8 --> 0.892490149 sigma out 1act.( 1.0845263 sig in 7act.) RANK 12 NODE 3 --> 0.677436173 sigma out 1act.( 0.917348564 sig in 7act.) RANK 13 NODE 4 --> 0.432899237 sigma out 1act.( 0.598437786 sig in 7act.) RANK 14 NODE 13 --> 0.387494206 sigma out 1act.( 0.688417912 sig in 7act.) RANK 15 NODE 12 --> 0.362273723 sigma out 1act.( 0.944110751 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.3642015 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 7 --> 12.8382006 sigma out 15 active outputs RANK 2 NODE 1 --> 7.93753338 sigma out 15 active outputs RANK 3 NODE 3 --> 6.58460188 sigma out 15 active outputs RANK 4 NODE 6 --> 6.50474882 sigma out 15 active outputs RANK 5 NODE 4 --> 5.27198887 sigma out 15 active outputs RANK 6 NODE 5 --> 4.37676525 sigma out 15 active outputs RANK 7 NODE 2 --> 4.08059502 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 9.77119446 sigma in 7act. ( 11.0811262 sig out 1act.) RANK 2 NODE 1 --> 5.63461208 sigma in 7act. ( 3.10517478 sig out 1act.) RANK 3 NODE 9 --> 5.46907997 sigma in 7act. ( 3.29319263 sig out 1act.) RANK 4 NODE 10 --> 5.42424059 sigma in 7act. ( 4.36894178 sig out 1act.) RANK 5 NODE 7 --> 5.39593649 sigma in 7act. ( 4.45403051 sig out 1act.) RANK 6 NODE 2 --> 4.86170387 sigma in 7act. ( 2.91381407 sig out 1act.) RANK 7 NODE 8 --> 4.54607153 sigma in 7act. ( 2.47126341 sig out 1act.) RANK 8 NODE 4 --> 4.45477962 sigma in 7act. ( 1.8073355 sig out 1act.) RANK 9 NODE 12 --> 4.45035458 sigma in 7act. ( 1.50603592 sig out 1act.) RANK 10 NODE 14 --> 4.25595427 sigma in 7act. ( 1.88852191 sig out 1act.) RANK 11 NODE 11 --> 4.19004345 sigma in 7act. ( 0.866413534 sig out 1act.) RANK 12 NODE 5 --> 3.84423637 sigma in 7act. ( 2.70236659 sig out 1act.) RANK 13 NODE 3 --> 3.78763556 sigma in 7act. ( 1.45501709 sig out 1act.) RANK 14 NODE 6 --> 3.35580897 sigma in 7act. ( 1.87616038 sig out 1act.) RANK 15 NODE 13 --> 1.1875453 sigma in 7act. ( 0.304918319 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 11.0811262 sigma out 1act.( 9.77119446 sig in 7act.) RANK 2 NODE 7 --> 4.45403051 sigma out 1act.( 5.39593649 sig in 7act.) RANK 3 NODE 10 --> 4.36894178 sigma out 1act.( 5.42424059 sig in 7act.) RANK 4 NODE 9 --> 3.29319263 sigma out 1act.( 5.46907997 sig in 7act.) RANK 5 NODE 1 --> 3.10517478 sigma out 1act.( 5.63461208 sig in 7act.) RANK 6 NODE 2 --> 2.91381407 sigma out 1act.( 4.86170387 sig in 7act.) RANK 7 NODE 5 --> 2.70236659 sigma out 1act.( 3.84423637 sig in 7act.) RANK 8 NODE 8 --> 2.47126341 sigma out 1act.( 4.54607153 sig in 7act.) RANK 9 NODE 14 --> 1.88852191 sigma out 1act.( 4.25595427 sig in 7act.) RANK 10 NODE 6 --> 1.87616038 sigma out 1act.( 3.35580897 sig in 7act.) RANK 11 NODE 4 --> 1.8073355 sigma out 1act.( 4.45477962 sig in 7act.) RANK 12 NODE 12 --> 1.50603592 sigma out 1act.( 4.45035458 sig in 7act.) RANK 13 NODE 3 --> 1.45501709 sigma out 1act.( 3.78763556 sig in 7act.) RANK 14 NODE 11 --> 0.866413534 sigma out 1act.( 4.19004345 sig in 7act.) RANK 15 NODE 13 --> 0.304918319 sigma out 1act.( 1.1875453 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.8218307 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.424633473 *** contribution from regularisation: 0.028966466 *** contribution from error: -0.45359993 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.508392394 *** contribution from regularisation: 0.00976424012 *** contribution from error: -0.518156648 *********************************************** -----------------> Test sample ENTER BFGS code START -3083.49785 -0.69261682 0.232572988 EXIT FROM BFGS code FG_START 0. -0.69261682 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.520898521 *** contribution from regularisation: 0.00996598601 *** contribution from error: -0.530864477 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3158.72868 -0.69261682 -2.55557108 EXIT FROM BFGS code FG_LNSRCH 0. -0.705744743 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.529067039 *** contribution from regularisation: 0.0165536851 *** contribution from error: -0.545620739 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3208.26258 -0.705744743 10.4638252 EXIT FROM BFGS code NEW_X -3208.26258 -0.705744743 10.4638252 ENTER BFGS code NEW_X -3208.26258 -0.705744743 10.4638252 EXIT FROM BFGS code FG_LNSRCH 0. -0.68178302 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.532515407 *** contribution from regularisation: 0.015748851 *** contribution from error: -0.548264265 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3229.17327 -0.68178302 5.46827459 EXIT FROM BFGS code NEW_X -3229.17327 -0.68178302 5.46827459 ENTER BFGS code NEW_X -3229.17327 -0.68178302 5.46827459 EXIT FROM BFGS code FG_LNSRCH 0. -0.65504247 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.533768952 *** contribution from regularisation: 0.0147008533 *** contribution from error: -0.548469782 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3236.77494 -0.65504247 3.72027445 EXIT FROM BFGS code NEW_X -3236.77494 -0.65504247 3.72027445 ENTER BFGS code NEW_X -3236.77494 -0.65504247 3.72027445 EXIT FROM BFGS code FG_LNSRCH 0. -0.575924158 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.533442378 *** contribution from regularisation: 0.0135140158 *** contribution from error: -0.54695642 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3234.7947 -0.575924158 -0.620337546 EXIT FROM BFGS code FG_LNSRCH 0. -0.632400453 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.529569864 *** contribution from regularisation: 0.018926274 *** contribution from error: -0.548496127 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3211.31176 -0.632400453 2.22975922 EXIT FROM BFGS code FG_LNSRCH 0. -0.654236317 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.532967329 *** contribution from regularisation: 0.0155082652 *** contribution from error: -0.548475623 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3231.91398 -0.654236317 3.60740113 EXIT FROM BFGS code FG_LNSRCH 0. -0.65503639 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 7 --> 11.0993786 sigma out 15 active outputs RANK 2 NODE 1 --> 7.90753412 sigma out 15 active outputs RANK 3 NODE 6 --> 5.70462465 sigma out 15 active outputs RANK 4 NODE 3 --> 5.12448311 sigma out 15 active outputs RANK 5 NODE 5 --> 3.18151331 sigma out 15 active outputs RANK 6 NODE 4 --> 3.10481787 sigma out 15 active outputs RANK 7 NODE 2 --> 2.67837143 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 6.8732338 sigma in 7act. ( 6.04052448 sig out 1act.) RANK 2 NODE 1 --> 5.50161982 sigma in 7act. ( 3.32935929 sig out 1act.) RANK 3 NODE 7 --> 4.80746746 sigma in 7act. ( 2.89842415 sig out 1act.) RANK 4 NODE 2 --> 4.59643745 sigma in 7act. ( 2.83038259 sig out 1act.) RANK 5 NODE 9 --> 4.57980776 sigma in 7act. ( 2.73571491 sig out 1act.) RANK 6 NODE 10 --> 4.57869911 sigma in 7act. ( 2.90564775 sig out 1act.) RANK 7 NODE 8 --> 4.5606122 sigma in 7act. ( 2.71437359 sig out 1act.) RANK 8 NODE 4 --> 4.2945385 sigma in 7act. ( 2.42771435 sig out 1act.) RANK 9 NODE 12 --> 4.26088572 sigma in 7act. ( 2.33697891 sig out 1act.) RANK 10 NODE 3 --> 3.45758986 sigma in 7act. ( 1.90903986 sig out 1act.) RANK 11 NODE 14 --> 3.41397476 sigma in 7act. ( 1.83761299 sig out 1act.) RANK 12 NODE 6 --> 3.25029087 sigma in 7act. ( 2.077245 sig out 1act.) RANK 13 NODE 11 --> 2.82780313 sigma in 7act. ( 0.71313113 sig out 1act.) RANK 14 NODE 5 --> 2.66843009 sigma in 7act. ( 1.40396273 sig out 1act.) RANK 15 NODE 13 --> 1.0429672 sigma in 7act. ( 0.550904632 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 6.04052448 sigma out 1act.( 6.8732338 sig in 7act.) RANK 2 NODE 1 --> 3.32935929 sigma out 1act.( 5.50161982 sig in 7act.) RANK 3 NODE 10 --> 2.90564775 sigma out 1act.( 4.57869911 sig in 7act.) RANK 4 NODE 7 --> 2.89842415 sigma out 1act.( 4.80746746 sig in 7act.) RANK 5 NODE 2 --> 2.83038259 sigma out 1act.( 4.59643745 sig in 7act.) RANK 6 NODE 9 --> 2.73571491 sigma out 1act.( 4.57980776 sig in 7act.) RANK 7 NODE 8 --> 2.71437359 sigma out 1act.( 4.5606122 sig in 7act.) RANK 8 NODE 4 --> 2.42771435 sigma out 1act.( 4.2945385 sig in 7act.) RANK 9 NODE 12 --> 2.33697891 sigma out 1act.( 4.26088572 sig in 7act.) RANK 10 NODE 6 --> 2.077245 sigma out 1act.( 3.25029087 sig in 7act.) RANK 11 NODE 3 --> 1.90903986 sigma out 1act.( 3.45758986 sig in 7act.) RANK 12 NODE 14 --> 1.83761299 sigma out 1act.( 3.41397476 sig in 7act.) RANK 13 NODE 5 --> 1.40396273 sigma out 1act.( 2.66843009 sig in 7act.) RANK 14 NODE 11 --> 0.71313113 sigma out 1act.( 2.82780313 sig in 7act.) RANK 15 NODE 13 --> 0.550904632 sigma out 1act.( 1.0429672 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.6185627 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.531710863 *** contribution from regularisation: 0.0167590082 *** contribution from error: -0.548469841 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3224.29474 -0.65503639 3.37803769 EXIT FROM BFGS code FG_LNSRCH 0. -0.65504247 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.533647835 *** contribution from regularisation: 0.0148219587 *** contribution from error: -0.548469782 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3236.04056 -0.65504247 3.32143021 EXIT FROM BFGS code FG_LNSRCH 0. -0.65504247 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.533171535 *** contribution from regularisation: 0.0152982594 *** contribution from error: -0.548469782 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3233.15227 -0.65504247 3.81957102 EXIT FROM BFGS code FG_LNSRCH 0. -0.65504247 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.531905174 *** contribution from regularisation: 0.0165646318 *** contribution from error: -0.548469782 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3225.47299 -0.65504247 3.05810022 EXIT FROM BFGS code FG_LNSRCH 0. -0.65504247 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.53342396 *** contribution from regularisation: 0.0150458543 *** contribution from error: -0.548469841 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3234.68286 -0.65504247 3.73764038 EXIT FROM BFGS code NEW_X -3234.68286 -0.65504247 3.73764038 ENTER BFGS code NEW_X -3234.68286 -0.65504247 3.73764038 EXIT FROM BFGS code CONVERGENC -3234.68286 -0.65504247 3.73764038 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 7 --> 13.6051464 sigma out 15 active outputs RANK 2 NODE 1 --> 10.7032814 sigma out 15 active outputs RANK 3 NODE 6 --> 6.62008667 sigma out 15 active outputs RANK 4 NODE 3 --> 5.49562025 sigma out 15 active outputs RANK 5 NODE 5 --> 3.95196915 sigma out 15 active outputs RANK 6 NODE 4 --> 3.65661931 sigma out 15 active outputs RANK 7 NODE 2 --> 3.52353573 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 8.79854679 sigma in 7act. ( 8.71191692 sig out 1act.) RANK 2 NODE 1 --> 7.00446415 sigma in 7act. ( 4.57325459 sig out 1act.) RANK 3 NODE 7 --> 5.99087954 sigma in 7act. ( 3.79796147 sig out 1act.) RANK 4 NODE 2 --> 5.90240002 sigma in 7act. ( 3.53170848 sig out 1act.) RANK 5 NODE 10 --> 5.79610777 sigma in 7act. ( 4.03697348 sig out 1act.) RANK 6 NODE 8 --> 5.78141022 sigma in 7act. ( 3.93968105 sig out 1act.) RANK 7 NODE 9 --> 5.66338158 sigma in 7act. ( 4.13645601 sig out 1act.) RANK 8 NODE 12 --> 5.25790834 sigma in 7act. ( 3.22800684 sig out 1act.) RANK 9 NODE 4 --> 5.24125099 sigma in 7act. ( 3.3755722 sig out 1act.) RANK 10 NODE 3 --> 4.0544982 sigma in 7act. ( 2.51517558 sig out 1act.) RANK 11 NODE 6 --> 4.00313854 sigma in 7act. ( 2.61580515 sig out 1act.) RANK 12 NODE 14 --> 3.82032895 sigma in 7act. ( 2.34431171 sig out 1act.) RANK 13 NODE 11 --> 2.80338264 sigma in 7act. ( 1.01952434 sig out 1act.) RANK 14 NODE 5 --> 2.76001239 sigma in 7act. ( 1.82910538 sig out 1act.) RANK 15 NODE 13 --> 1.06798935 sigma in 7act. ( 0.598811805 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 8.71191692 sigma out 1act.( 8.79854679 sig in 7act.) RANK 2 NODE 1 --> 4.57325459 sigma out 1act.( 7.00446415 sig in 7act.) RANK 3 NODE 9 --> 4.13645601 sigma out 1act.( 5.66338158 sig in 7act.) RANK 4 NODE 10 --> 4.03697348 sigma out 1act.( 5.79610777 sig in 7act.) RANK 5 NODE 8 --> 3.93968105 sigma out 1act.( 5.78141022 sig in 7act.) RANK 6 NODE 7 --> 3.79796147 sigma out 1act.( 5.99087954 sig in 7act.) RANK 7 NODE 2 --> 3.53170848 sigma out 1act.( 5.90240002 sig in 7act.) RANK 8 NODE 4 --> 3.3755722 sigma out 1act.( 5.24125099 sig in 7act.) RANK 9 NODE 12 --> 3.22800684 sigma out 1act.( 5.25790834 sig in 7act.) RANK 10 NODE 6 --> 2.61580515 sigma out 1act.( 4.00313854 sig in 7act.) RANK 11 NODE 3 --> 2.51517558 sigma out 1act.( 4.0544982 sig in 7act.) RANK 12 NODE 14 --> 2.34431171 sigma out 1act.( 3.82032895 sig in 7act.) RANK 13 NODE 5 --> 1.82910538 sigma out 1act.( 2.76001239 sig in 7act.) RANK 14 NODE 11 --> 1.01952434 sigma out 1act.( 2.80338264 sig in 7act.) RANK 15 NODE 13 --> 0.598811805 sigma out 1act.( 1.06798935 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.7601032 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.532579839 *** contribution from regularisation: 0.015889952 *** contribution from error: -0.548469782 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done