NNInput NNInputs_125.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 186527 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 = 46727 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 46727 Chosen entries: 46727 Signal fraction: 1 Background fraction: 0.334242 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 46727 Entries to split: 46727 Test with : 23363 Train with : 23363 ********************************************* * 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= 46727 for Signal Prepared event 0 for Signal with 46727 events ====Entry 0 Variable Ht : 120.494 Variable LepAPt : 52.8932 Variable LepBPt : 13.787 Variable MetSigLeptonsJets : 6.59008 Variable MetSpec : 53.8132 Variable SumEtLeptonsJets : 66.6802 Variable VSumJetLeptonsPt : 66.139 Variable addEt : 120.494 Variable dPhiLepSumMet : 2.99118 Variable dPhiLeptons : 0.315251 Variable dRLeptons : 0.406645 Variable lep1_E : 70.3851 Variable lep2_E : 15.8115 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2125 Ht = 120.494 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 52.8933 LepAPt = 52.8932 LepBEt = 13.787 LepBPt = 13.787 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 53.8132 MetDelPhi = 2.92651 MetSig = 4.22058 MetSigLeptonsJets = 6.59008 MetSpec = 53.8132 Mjj = 0 MostCentralJetEta = 0 MtllMet = 129.103 Njets = 0 SB = 0 SumEt = 162.568 SumEtJets = 0 SumEtLeptonsJets = 66.6802 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 66.139 addEt = 120.494 dPhiLepSumMet = 2.99118 dPhiLeptons = 0.315251 dRLeptons = 0.406645 diltype = 49 dimass = 10.9671 event = 2092 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 70.3851 lep2_E = 15.8115 rand = 0.999742 run = 235158 weight = 1.4937e-06 ===Show End Prepared event 10000 for Signal with 46727 events Prepared event 20000 for Signal with 46727 events Prepared event 30000 for Signal with 46727 events Prepared event 40000 for Signal with 46727 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= 139800 for Background Prepared event 0 for Background with 139800 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.26934 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00331651 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4388 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 186527 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 4388 negative weights. Signal fraction: 62.5198288 % ------------------------------ 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 60.0019798 62.8430901 64.8089905 66.3857117 67.6092682 68.6997986 69.5922089 70.4463882 71.2191772 72.0096436 72.7599869 73.5082855 74.1555328 74.9007416 75.4688873 76.0824738 76.8127747 77.3552094 77.988327 78.5286179 79.0765686 79.5426254 80.1904297 80.8812256 81.4583435 82.086586 82.714325 83.5096893 84.3353806 85.0293808 85.805603 86.571022 87.4656982 88.5243378 89.4674988 90.4591217 91.5936279 92.4927368 93.6564407 94.6454315 95.6829987 96.7712402 97.817688 98.8318405 99.8087921 100.821976 101.768875 102.718842 103.721741 104.411972 105.387222 106.269577 107.168945 108.081009 108.954834 109.966972 110.948746 111.874542 112.788376 113.631523 114.695656 115.690872 116.710251 117.765305 118.914757 119.717735 120.980133 122.093124 123.258858 124.65123 125.849182 127.371658 128.85733 130.51062 132.112228 133.936615 135.786865 137.7435 139.812759 142.032104 144.158737 146.542542 148.89949 151.341797 153.990967 156.934082 159.599274 162.80014 166.452591 170.567703 175.110199 180.001389 185.894974 192.670319 199.968506 209.97168 222.061249 237.935822 262.935364 307.765015 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.2793674 20.540863 20.77005 21.0433807 21.3083096 21.5375748 21.7917366 21.9746685 22.1510391 22.3544083 22.5626354 22.7417336 22.9421577 23.1204376 23.2765198 23.4850044 23.6697845 23.842165 24.0410309 24.2147179 24.4229698 24.5908012 24.7899933 24.9867821 25.1556931 25.3140678 25.4907036 25.6628857 25.8458176 26.0311699 26.2159119 26.4007721 26.5724506 26.7793541 26.9745903 27.1637421 27.3825779 27.5854568 27.758564 27.9450111 28.1342812 28.3190441 28.5303574 28.7339363 28.9285431 29.1319351 29.3296185 29.5610695 29.763876 29.9762592 30.1674423 30.4136543 30.6354446 30.8770027 31.1286697 31.3754902 31.5966225 31.8223476 32.048481 32.2899399 32.5215416 32.8239326 33.1267776 33.4041519 33.7069893 33.9839859 34.2361603 34.5451736 34.8729095 35.1805458 35.510704 35.8667297 36.2112122 36.5651321 36.9310684 37.3261871 37.754055 38.2021866 38.6393967 39.0888519 39.4393234 39.9711494 40.4619789 40.8573608 41.5162582 42.1384354 42.8048859 43.5740051 44.4109268 45.2668533 46.286377 47.3806381 48.6366539 50.2316437 51.9038925 54.2335358 57.1405602 61.9105453 70.6367798 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1117973 10.2080755 10.3203812 10.4275961 10.5032682 10.6108551 10.7241344 10.8131132 10.9095974 11.0127878 11.1202984 11.2265968 11.335041 11.4560986 11.5520382 11.6598988 11.7571468 11.8739128 11.9950562 12.1033382 12.2339668 12.3644371 12.4985428 12.628067 12.7639456 12.8760681 12.9973679 13.1391335 13.270318 13.4059935 13.5454273 13.6656361 13.7897339 13.9201975 14.0480747 14.1835442 14.3145332 14.4524202 14.5944862 14.7680817 14.9240046 15.0848618 15.2506924 15.3782463 15.523509 15.6631908 15.8182564 15.952467 16.1188545 16.3000641 16.4874821 16.6688118 16.838829 17.0062866 17.2065926 17.3757515 17.5783958 17.7543411 17.9295502 18.0911942 18.2923107 18.4707642 18.6523914 18.8793602 19.0839691 19.2799606 19.4961624 19.7349529 19.9871731 20.1974545 20.335556 20.5481606 20.77775 21.0383739 21.2679653 21.5020905 21.7342052 21.9706497 22.1826229 22.4582863 22.7354088 23.0448246 23.3505516 23.6884003 24.0619164 24.4288006 24.7908669 25.1898861 25.6227169 26.074501 26.5480499 27.1024055 27.7505608 28.3631554 29.22929 30.2004166 31.5209141 33.4116898 37.3578415 72.3692474 ------------------------------ Transdef: Tab for variable 5 0.976250172 2.42344999 2.8362112 3.07927227 3.30973291 3.5191617 3.69511938 3.85642505 4.00269127 4.11964989 4.21245766 4.30369282 4.40150452 4.49150085 4.56896496 4.6475234 4.72967815 4.79630423 4.87343884 4.94301701 5.00758696 5.07082844 5.13015223 5.18774414 5.24156761 5.29610443 5.34430504 5.39278078 5.44464016 5.48442936 5.52014542 5.55749702 5.59724045 5.63859701 5.68308258 5.73051834 5.78273106 5.82312298 5.86673737 5.9042964 5.9483676 5.98523188 6.02091217 6.05856419 6.09877777 6.13421822 6.17356825 6.21069002 6.24507523 6.28381062 6.31860828 6.35707378 6.40010738 6.43622494 6.47881556 6.51613331 6.55151129 6.59383678 6.63044024 6.66670752 6.70432758 6.74130678 6.77543068 6.81526899 6.85233784 6.88628197 6.92100811 6.96911383 7.01696396 7.05626774 7.10438251 7.15099859 7.18822861 7.23339653 7.28074265 7.32855558 7.37898159 7.4366045 7.48362541 7.52236652 7.577775 7.63016319 7.68295908 7.73791265 7.80204868 7.86411619 7.92264843 7.9985857 8.07684135 8.15873718 8.24928474 8.34559345 8.4560833 8.58333206 8.72022057 8.87563515 9.0916748 9.36091423 9.76680088 10.5358229 17.7251911 ------------------------------ Transdef: Tab for variable 6 15.0050735 19.854229 23.7501602 25.6340599 26.5353813 27.2803631 28.1051426 28.828392 29.4838409 30.0800762 30.6995811 31.1976433 31.7587585 32.2131996 32.6666794 33.0582161 33.4817505 33.8681374 34.2728195 34.5896873 34.9511719 35.3478775 35.7012558 36.0657959 36.3996506 36.7046585 37.0299606 37.3181839 37.6521835 37.987114 38.2895508 38.6280899 38.9752617 39.3170776 39.6197548 39.8997421 40.2058716 40.4985733 40.8397675 41.1745605 41.5536423 41.9154129 42.2866821 42.5861702 42.930397 43.1709747 43.5509605 43.8902779 44.3338394 44.7209244 45.1465416 45.6569672 46.0651855 46.5133553 46.9533005 47.3527985 47.7967987 48.2292786 48.6759491 49.1897888 49.6373749 50.0870514 50.4913979 50.9216766 51.3791885 51.893219 52.3700104 52.855957 53.3382416 53.8560867 54.3592453 54.8506851 55.3236008 55.8489456 56.3627167 56.8165283 57.2962646 57.8684235 58.3897858 58.834198 59.389473 59.9761543 60.6692047 61.372879 62.1049347 62.9231453 63.8028564 64.6883087 65.7085571 66.7604828 68.1525803 69.5295715 71.1143875 73.0129166 75.3321533 77.3412704 80.7538757 84.6889496 90.9274445 101.10083 201.618698 ------------------------------ Transdef: Tab for variable 7 30.1484737 32.8248901 33.7206345 34.3290329 34.9351578 35.4067001 35.8079987 36.184761 36.5334396 36.8765335 37.2054596 37.5136719 37.7859497 38.1287994 38.3790627 38.6578674 38.8917122 39.2061157 39.4499321 39.7060242 40.0541916 40.3468857 40.6206551 41.0091095 41.3284683 41.6181831 41.9561844 42.3167152 42.7325592 43.0891495 43.5273285 44.006073 44.4407425 44.9403839 45.3510742 45.8992081 46.4779205 47.1101379 47.6603813 48.2451553 48.7306442 49.387764 49.9777756 50.6313171 51.238945 51.8482361 52.465107 53.0282135 53.6355934 54.2376251 54.8759842 55.5651093 56.1132736 56.6823196 57.3849678 58.0540466 58.7855148 59.398922 60.1613541 60.9332809 61.2960052 62.0488586 62.9197693 63.9021912 64.9200897 66.0592346 67.2144241 68.3496323 69.5807343 70.8572845 72.1152496 73.396225 74.6990662 76.178772 77.4425659 78.9207458 80.556778 82.0650787 83.5505829 85.3923721 87.1834869 89.1733246 91.3291016 93.6235352 96.0213013 98.5181808 101.214661 104.209686 107.145081 110.827316 114.40564 118.614471 123.814133 129.176575 135.889221 144.113831 154.281281 167.571747 186.445374 221.381683 475.479645 ------------------------------ Transdef: Tab for variable 8 2.53947878 21.4399643 26.0881367 28.7269669 30.3894844 31.4948368 32.2852859 32.9141388 33.3955956 33.8001175 34.1452065 34.518528 34.9070511 35.2028313 35.486599 35.7643967 36.04673 36.3349457 36.5549011 36.8275452 37.1095352 37.3388824 37.5857468 37.8508949 38.1113968 38.3558769 38.5636406 38.7939072 38.9745712 39.2520218 39.5373459 39.789711 40.0800323 40.3229904 40.5977325 40.9022141 41.2209625 41.4658089 41.7670517 42.0891571 42.427784 42.7339554 43.0952072 43.4368286 43.777298 44.1338654 44.4716644 44.8392715 45.2185974 45.6460381 46.0316162 46.4635086 46.9300499 47.3709946 47.8211517 48.1559067 48.585083 48.95755 49.3567734 49.7841682 50.2744217 50.7569885 51.1534576 51.6061401 52.0288506 52.4873085 52.9804344 53.3822021 53.8512115 54.3139496 54.769783 55.2593536 55.7360458 56.2195091 56.705574 57.2393875 57.8036652 58.3626099 58.904953 59.5288773 60.143486 60.8305283 61.3119583 62.0769882 62.8404846 63.6817474 64.5135193 65.5325317 66.6149902 67.8130798 69.2596436 70.8827133 72.6203461 74.5959015 76.9492722 79.8816986 83.8251572 88.8225861 97.0643997 113.751572 326.868286 ------------------------------ Transdef: Tab for variable 9 48.8581314 62.4941864 64.1896667 65.7703781 66.9176178 67.9394379 68.8376236 69.5837936 70.284729 70.8777008 71.6298065 72.2917633 72.9513245 73.5741653 74.1420975 74.8150177 75.3259277 75.789917 76.3865891 76.9693146 77.4640961 78.0402679 78.4779282 78.924324 79.3651733 79.7740021 80.3568878 80.9428177 81.4443893 81.9615784 82.4631348 83.0476227 83.7098541 84.3140869 84.8497314 85.3981476 86.0901947 86.6895142 87.2658615 87.9639587 88.719223 89.3969345 90.0994873 90.8431015 91.6540146 92.3432312 93.1035004 93.8893738 94.6902771 95.449585 96.2872925 97.0503998 97.8650665 98.6114197 99.3936005 100.206337 100.974426 101.732651 102.452339 103.241653 103.956573 104.70845 105.381294 106.113022 106.79554 107.499695 108.17778 108.895432 109.62458 110.385376 111.093193 111.769821 112.494392 113.242203 113.94986 114.676041 115.399063 116.160568 116.946289 117.731133 118.563797 119.406265 120.053757 120.979118 121.870285 122.878555 123.978043 125.164978 126.366058 127.67701 129.315094 131.106537 133.354462 135.959412 139.258591 142.910965 148.147064 155.2547 166.426025 189.083801 424.390259 ------------------------------ Transdef: Tab for variable 10 0.00602381537 0.807295084 1.13911152 1.33641005 1.50760674 1.64132786 1.75657237 1.85002828 1.93451929 2.02216482 2.09049082 2.14954305 2.2024169 2.25010729 2.29613781 2.33976007 2.38431883 2.42191529 2.45479274 2.4876802 2.52019739 2.54926729 2.57970142 2.60731983 2.63045311 2.65500689 2.67948055 2.70318007 2.72443438 2.7436552 2.76087666 2.77700424 2.79319525 2.8087697 2.82255054 2.83382249 2.84533644 2.85688496 2.86633444 2.87756777 2.88746881 2.89908886 2.90995598 2.91722155 2.92544508 2.93300939 2.94128942 2.94888878 2.95538187 2.96156549 2.96820521 2.97516966 2.9803021 2.98524952 2.99006033 2.99381447 2.99845219 3.0037756 3.00782585 3.01297903 3.01727772 3.02224445 3.02684069 3.03115082 3.03506041 3.03898287 3.0430882 3.04711938 3.05076361 3.05423975 3.05784416 3.06113577 3.06489944 3.06769729 3.07168484 3.07483864 3.07765436 3.08084965 3.08397484 3.08715725 3.08995748 3.09279776 3.0954895 3.09826946 3.10096383 3.10349536 3.10598373 3.10890055 3.11189985 3.11447597 3.1169939 3.11948872 3.122509 3.12504625 3.12776041 3.12991619 3.13177395 3.13401222 3.13641071 3.13873601 3.14159155 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00630219281 0.0112814745 0.0180080421 0.0242972374 0.0313335657 0.0401517749 0.0488462448 0.0574126244 0.0664756298 0.0754167438 0.0833237171 0.0926957726 0.101806745 0.108629465 0.115827799 0.123451829 0.13179338 0.140667558 0.148721009 0.156309575 0.163569152 0.171815544 0.178493083 0.185535073 0.192200541 0.198753059 0.205302477 0.212349176 0.219226837 0.225521326 0.231746614 0.237376541 0.243960381 0.250772953 0.256763667 0.262539983 0.268258989 0.274062335 0.280086577 0.28578949 0.291786432 0.297647357 0.303516746 0.30979073 0.315581083 0.321029305 0.326582074 0.333046585 0.339037269 0.344593048 0.35052228 0.355677605 0.361263037 0.367007762 0.372600913 0.37804389 0.384456158 0.389856577 0.395972252 0.401954025 0.408116192 0.413878381 0.419909716 0.425824881 0.432339609 0.438530564 0.445681214 0.451826334 0.458458364 0.464300156 0.470885158 0.477475941 0.483869195 0.491516024 0.498171806 0.505364418 0.511805415 0.517938375 0.524646521 0.532395124 0.539795578 0.545734882 0.554610968 0.565090299 0.573931098 0.583075702 0.593853712 0.604130924 0.616532207 0.628599405 0.641262531 0.654467344 0.672121167 0.692819834 0.71226716 0.731227875 0.76628387 0.802830458 0.856786013 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.225792065 0.2444112 0.257131875 0.270136714 0.282133937 0.292658061 0.302297771 0.311264664 0.319437265 0.327337623 0.335486174 0.343121707 0.34991774 0.35582599 0.362602949 0.369502723 0.375734687 0.382935584 0.389550477 0.395819545 0.401542723 0.40644294 0.410965383 0.414423943 0.418833852 0.423007637 0.427132964 0.431043267 0.435269177 0.43947944 0.443537772 0.44732058 0.451488435 0.45552057 0.459603071 0.464239001 0.46828422 0.472171515 0.476201564 0.478814572 0.482777059 0.486212283 0.489741147 0.493078679 0.496621966 0.500235021 0.504489303 0.508707285 0.512845993 0.517356396 0.521247387 0.524730563 0.528945923 0.53341049 0.537799597 0.542140722 0.546498895 0.549498677 0.553850532 0.557753801 0.561588764 0.566519082 0.571139395 0.576041937 0.580180049 0.58423686 0.589012265 0.594116926 0.598563194 0.603749752 0.609124243 0.614947319 0.620417595 0.626289129 0.632317424 0.638231397 0.645371616 0.651389658 0.658862352 0.666107535 0.673549652 0.679528594 0.688425422 0.697167158 0.704276264 0.714300156 0.721256971 0.729943752 0.741082549 0.751736641 0.760353684 0.771317482 0.784702897 0.798514366 0.814138889 0.830075622 0.85571444 0.881415367 0.922434211 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.3566399 22.1556301 22.7454224 23.3149452 23.8487091 24.3328323 24.8033791 25.1821632 25.5834846 25.9107952 26.2084942 26.6034241 26.982729 27.3109226 27.6430511 27.9158821 28.2588539 28.592001 28.8595924 29.1702271 29.4236183 29.6809158 30.0141678 30.2769604 30.5281124 30.8057117 31.0410309 31.3191566 31.5708771 31.8634911 32.1228447 32.4048462 32.7140045 33.0457268 33.3563461 33.7075386 34.0094681 34.332283 34.55233 34.8841743 35.198101 35.512661 35.8444443 36.1427841 36.4380188 36.8364639 37.1933594 37.494648 37.8826828 38.2479286 38.602272 38.949852 39.3403664 39.7567215 40.1502991 40.5349312 40.8742676 41.3080597 41.8127213 42.3211594 42.7643852 43.2410583 43.6785126 44.1812019 44.6388779 45.1631622 45.7029762 46.3081398 46.9007339 47.4763451 48.02005 48.5919647 49.3104515 49.9630661 50.7038498 51.5822678 52.386879 53.0818748 54.0310516 54.905426 55.8282547 56.9148788 57.8994331 58.9433212 60.1126938 61.4728165 62.7409439 64.3562698 66.0040131 67.7492981 69.2928467 71.5064774 74.1237869 76.873703 80.373291 84.4582672 88.3701324 94.8388214 104.458717 230.5327 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.5166626 10.905159 11.2363014 11.4798021 11.7327118 11.996479 12.2728052 12.4811935 12.7444286 12.9747925 13.2080488 13.4319353 13.6878605 13.886858 14.1011009 14.3140011 14.5237398 14.7114038 14.934269 15.1576319 15.3712749 15.5437546 15.7671347 15.9756794 16.193676 16.3847733 16.5858212 16.7812424 16.970026 17.1868477 17.3992023 17.6202564 17.8317528 18.0397377 18.250412 18.4779968 18.6806335 18.885601 19.0807533 19.2637138 19.4863701 19.7398033 19.9699364 20.2373962 20.4728279 20.690567 20.9043808 21.1344032 21.3631897 21.6135025 21.8262329 22.0811844 22.3344841 22.6002712 22.8487854 23.099062 23.3299599 23.5856781 23.8361244 24.095232 24.3837624 24.6408081 24.9114914 25.2082558 25.4843292 25.7472229 26.0191517 26.3436871 26.641777 27.0021133 27.3564262 27.6690941 27.9611931 28.3267803 28.7419872 29.1061668 29.4915276 29.9014168 30.3470459 30.8173981 31.287096 31.7079582 32.2938614 32.8878441 33.4472351 34.0241623 34.727375 35.5274734 36.4270706 37.2594299 38.2527199 39.4342575 40.388031 41.8418655 43.6595917 45.6443787 48.4297943 52.5294418 59.4732513 122.221924 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 55.0 39.1 34.7 9.4 33.9 53.4 38.6 51.1 -29.1 -8.0 -23.2 3.7 3.0 2 55.0 100.0 62.4 48.2 18.6 59.2 94.0 63.9 89.8 -51.9 -19.2 -41.3 27.5 18.5 3 39.1 62.4 100.0 25.1 -4.7 24.8 65.8 45.3 68.1 -20.0 -20.2 -45.0 61.4 4.9 4 34.7 48.2 25.1 100.0 0.3 22.9 50.0 37.3 53.2 -13.2 -25.1 -52.0 7.8 67.0 5 9.4 18.6 -4.7 0.3 100.0 80.4 -9.2 46.3 45.9 27.5 0.7 1.3 -11.8 -6.1 6 33.9 59.2 24.8 22.9 80.4 100.0 36.7 71.8 75.3 -4.5 -8.6 -18.6 3.8 4.6 7 53.4 94.0 65.8 50.0 -9.2 36.7 100.0 56.8 77.2 -58.3 -18.4 -42.0 32.5 21.8 8 38.6 63.9 45.3 37.3 46.3 71.8 56.8 100.0 76.3 -10.4 -16.7 -32.6 20.3 16.1 9 51.1 89.8 68.1 53.2 45.9 75.3 77.2 76.3 100.0 -26.2 -21.6 -47.1 32.0 22.8 10 -29.1 -51.9 -20.0 -13.2 27.5 -4.5 -58.3 -10.4 -26.2 100.0 3.4 10.2 -6.2 -2.1 11 -8.0 -19.2 -20.2 -25.1 0.7 -8.6 -18.4 -16.7 -21.6 3.4 100.0 54.3 -9.4 -14.9 12 -23.2 -41.3 -45.0 -52.0 1.3 -18.6 -42.0 -32.6 -47.1 10.2 54.3 100.0 -20.9 -26.6 13 3.7 27.5 61.4 7.8 -11.8 3.8 32.5 20.3 32.0 -6.2 -9.4 -20.9 100.0 38.7 14 3.0 18.5 4.9 67.0 -6.1 4.6 21.8 16.1 22.8 -2.1 -14.9 -26.6 38.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 124.147408 TOTAL CORRELATION OF ALL VARIABLES 60.9043639 ROUND 1: MAX CORR ( 60.8830811) AFTER KILLING INPUT VARIABLE 7 CONTR 1.6099646 ROUND 2: MAX CORR ( 60.8431351) AFTER KILLING INPUT VARIABLE 5 CONTR 2.205102 ROUND 3: MAX CORR ( 60.7998753) AFTER KILLING INPUT VARIABLE 11 CONTR 2.29395953 ROUND 4: MAX CORR ( 60.7300819) AFTER KILLING INPUT VARIABLE 8 CONTR 2.91238462 ROUND 5: MAX CORR ( 60.6099078) AFTER KILLING INPUT VARIABLE 10 CONTR 3.81862944 ROUND 6: MAX CORR ( 60.2108158) AFTER KILLING INPUT VARIABLE 9 CONTR 6.94395987 ROUND 7: MAX CORR ( 60.1509876) AFTER KILLING INPUT VARIABLE 6 CONTR 2.68347348 ROUND 8: MAX CORR ( 59.712365) AFTER KILLING INPUT VARIABLE 14 CONTR 7.25084677 ROUND 9: MAX CORR ( 59.2815644) AFTER KILLING INPUT VARIABLE 12 CONTR 7.15979408 ROUND 10: MAX CORR ( 58.5384276) AFTER KILLING INPUT VARIABLE 4 CONTR 9.35715656 ROUND 11: MAX CORR ( 56.2745348) AFTER KILLING INPUT VARIABLE 3 CONTR 16.1221658 ROUND 12: MAX CORR ( 55.0115428) AFTER KILLING INPUT VARIABLE 13 CONTR 11.8555231 LAST REMAINING VARIABLE: 2 total correlation to target: 60.9043639 % total significance: 117.97616 sigma correlations of single variables to target: variable 2: 55.0115428 % , in sigma: 106.561339 variable 3: 39.0640185 % , in sigma: 75.6698307 variable 4: 34.7425095 % , in sigma: 67.298755 variable 5: 9.43091974 % , in sigma: 18.268374 variable 6: 33.8593083 % , in sigma: 65.5879304 variable 7: 53.3661014 % , in sigma: 103.374 variable 8: 38.6218471 % , in sigma: 74.8133127 variable 9: 51.0521632 % , in sigma: 98.8917345 variable 10: -29.0653063 % , in sigma: 56.3016015 variable 11: -7.99367904 % , in sigma: 15.4843348 variable 12: -23.2464032 % , in sigma: 45.0299652 variable 13: 3.73669453 % , in sigma: 7.2382477 variable 14: 2.98566375 % , in sigma: 5.78344675 variables sorted by significance: 1 most relevant variable 2 corr 55.0115433 , in sigma: 106.56134 2 most relevant variable 13 corr 11.8555231 , in sigma: 22.9650062 3 most relevant variable 3 corr 16.1221657 , in sigma: 31.2298016 4 most relevant variable 4 corr 9.35715675 , in sigma: 18.1254898 5 most relevant variable 12 corr 7.15979385 , in sigma: 13.8690388 6 most relevant variable 14 corr 7.25084686 , in sigma: 14.0454151 7 most relevant variable 6 corr 2.68347359 , in sigma: 5.19808253 8 most relevant variable 9 corr 6.94395971 , in sigma: 13.4509525 9 most relevant variable 10 corr 3.8186295 , in sigma: 7.39696168 10 most relevant variable 8 corr 2.91238451 , in sigma: 5.64149955 11 most relevant variable 11 corr 2.29395962 , in sigma: 4.44356578 12 most relevant variable 5 corr 2.20510197 , in sigma: 4.27144208 13 most relevant variable 7 corr 1.60996461 , in sigma: 3.11861795 global correlations between input variables: variable 2: 99.0408805 % variable 3: 93.3050243 % variable 4: 90.3811486 % variable 5: 94.8439706 % variable 6: 93.3755335 % variable 7: 98.4999275 % variable 8: 85.4872276 % variable 9: 98.8052919 % variable 10: 72.1058639 % variable 11: 55.4178601 % variable 12: 72.9822385 % variable 13: 83.6360271 % variable 14: 85.9276806 % significance loss when removing single variables: variable 2: corr = 5.13890208 % , sigma = 9.95442521 variable 3: corr = 12.143656 % , sigma = 23.5231405 variable 4: corr = 13.8500032 % , sigma = 26.8284584 variable 5: corr = 2.59764827 % , sigma = 5.03183269 variable 6: corr = 4.47174054 % , sigma = 8.66208503 variable 7: corr = 1.6099646 % , sigma = 3.11861793 variable 8: corr = 2.15878209 % , sigma = 4.18171713 variable 9: corr = 5.51309138 % , sigma = 10.679257 variable 10: corr = 4.10062521 % , sigma = 7.94320778 variable 11: corr = 2.17303962 % , sigma = 4.20933499 variable 12: corr = 4.89216968 % , sigma = 9.47648669 variable 13: corr = 8.1761078 % , sigma = 15.8377125 variable 14: corr = 7.11515527 % , sigma = 13.7825706 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 2 --> 21.0492535 sigma out 15 active outputs RANK 2 NODE 5 --> 15.4238091 sigma out 15 active outputs RANK 3 NODE 1 --> 14.7188787 sigma out 15 active outputs RANK 4 NODE 7 --> 13.4106503 sigma out 15 active outputs RANK 5 NODE 9 --> 12.4720812 sigma out 15 active outputs RANK 6 NODE 3 --> 11.9195251 sigma out 15 active outputs RANK 7 NODE 13 --> 11.6610575 sigma out 15 active outputs RANK 8 NODE 4 --> 11.2283134 sigma out 15 active outputs RANK 9 NODE 11 --> 10.815074 sigma out 15 active outputs RANK 10 NODE 10 --> 10.783246 sigma out 15 active outputs RANK 11 NODE 6 --> 10.1833982 sigma out 15 active outputs RANK 12 NODE 12 --> 9.42284775 sigma out 15 active outputs RANK 13 NODE 8 --> 8.76560116 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 20.8686657 sigma in 13act. ( 17.4106064 sig out 1act.) RANK 2 NODE 9 --> 18.4810009 sigma in 13act. ( 22.9321404 sig out 1act.) RANK 3 NODE 6 --> 18.3580189 sigma in 13act. ( 19.6539116 sig out 1act.) RANK 4 NODE 14 --> 17.7063885 sigma in 13act. ( 15.4742327 sig out 1act.) RANK 5 NODE 7 --> 15.9185915 sigma in 13act. ( 17.9149094 sig out 1act.) RANK 6 NODE 12 --> 12.0057993 sigma in 13act. ( 8.81780338 sig out 1act.) RANK 7 NODE 15 --> 9.00849247 sigma in 13act. ( 7.32441759 sig out 1act.) RANK 8 NODE 4 --> 7.16444206 sigma in 13act. ( 6.88531065 sig out 1act.) RANK 9 NODE 2 --> 7.07525635 sigma in 13act. ( 5.69194603 sig out 1act.) RANK 10 NODE 11 --> 6.23754978 sigma in 13act. ( 6.98604393 sig out 1act.) RANK 11 NODE 3 --> 5.7174077 sigma in 13act. ( 8.43343544 sig out 1act.) RANK 12 NODE 10 --> 5.45419359 sigma in 13act. ( 4.53598595 sig out 1act.) RANK 13 NODE 5 --> 4.30826902 sigma in 13act. ( 8.40860748 sig out 1act.) RANK 14 NODE 8 --> 3.32214522 sigma in 13act. ( 1.18263268 sig out 1act.) RANK 15 NODE 1 --> 1.05128109 sigma in 13act. ( 0.204191923 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 22.9321404 sigma out 1act.( 18.4810009 sig in 13act.) RANK 2 NODE 6 --> 19.6539116 sigma out 1act.( 18.3580189 sig in 13act.) RANK 3 NODE 7 --> 17.9149094 sigma out 1act.( 15.9185915 sig in 13act.) RANK 4 NODE 13 --> 17.4106064 sigma out 1act.( 20.8686657 sig in 13act.) RANK 5 NODE 14 --> 15.4742327 sigma out 1act.( 17.7063885 sig in 13act.) RANK 6 NODE 12 --> 8.81780338 sigma out 1act.( 12.0057993 sig in 13act.) RANK 7 NODE 3 --> 8.43343544 sigma out 1act.( 5.7174077 sig in 13act.) RANK 8 NODE 5 --> 8.40860748 sigma out 1act.( 4.30826902 sig in 13act.) RANK 9 NODE 15 --> 7.32441759 sigma out 1act.( 9.00849247 sig in 13act.) RANK 10 NODE 11 --> 6.98604393 sigma out 1act.( 6.23754978 sig in 13act.) RANK 11 NODE 4 --> 6.88531065 sigma out 1act.( 7.16444206 sig in 13act.) RANK 12 NODE 2 --> 5.69194603 sigma out 1act.( 7.07525635 sig in 13act.) RANK 13 NODE 10 --> 4.53598595 sigma out 1act.( 5.45419359 sig in 13act.) RANK 14 NODE 8 --> 1.18263268 sigma out 1act.( 3.32214522 sig in 13act.) RANK 15 NODE 1 --> 0.204191923 sigma out 1act.( 1.05128109 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 46.8992386 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 24.6141891 sigma out 15 active outputs RANK 2 NODE 5 --> 16.5549927 sigma out 15 active outputs RANK 3 NODE 1 --> 14.4100142 sigma out 15 active outputs RANK 4 NODE 9 --> 13.9002542 sigma out 15 active outputs RANK 5 NODE 3 --> 13.7164879 sigma out 15 active outputs RANK 6 NODE 13 --> 13.2518978 sigma out 15 active outputs RANK 7 NODE 10 --> 13.1647615 sigma out 15 active outputs RANK 8 NODE 7 --> 12.9768095 sigma out 15 active outputs RANK 9 NODE 4 --> 12.3257399 sigma out 15 active outputs RANK 10 NODE 6 --> 11.4512386 sigma out 15 active outputs RANK 11 NODE 11 --> 11.1994343 sigma out 15 active outputs RANK 12 NODE 12 --> 9.91721916 sigma out 15 active outputs RANK 13 NODE 8 --> 9.34752178 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 22.7769318 sigma in 13act. ( 22.6306839 sig out 1act.) RANK 2 NODE 7 --> 19.9871426 sigma in 13act. ( 17.7949715 sig out 1act.) RANK 3 NODE 6 --> 19.3365955 sigma in 13act. ( 18.589613 sig out 1act.) RANK 4 NODE 13 --> 17.1681423 sigma in 13act. ( 15.4272728 sig out 1act.) RANK 5 NODE 14 --> 13.7617083 sigma in 13act. ( 13.0757198 sig out 1act.) RANK 6 NODE 5 --> 12.7633305 sigma in 13act. ( 9.61463928 sig out 1act.) RANK 7 NODE 3 --> 12.1159115 sigma in 13act. ( 10.4638081 sig out 1act.) RANK 8 NODE 11 --> 9.42942524 sigma in 13act. ( 7.00803089 sig out 1act.) RANK 9 NODE 12 --> 9.15143299 sigma in 13act. ( 7.29532909 sig out 1act.) RANK 10 NODE 2 --> 8.94472027 sigma in 13act. ( 5.2060647 sig out 1act.) RANK 11 NODE 4 --> 8.85227489 sigma in 13act. ( 6.37888908 sig out 1act.) RANK 12 NODE 15 --> 8.66869259 sigma in 13act. ( 5.93235159 sig out 1act.) RANK 13 NODE 10 --> 6.45342541 sigma in 13act. ( 4.1855526 sig out 1act.) RANK 14 NODE 8 --> 4.99813557 sigma in 13act. ( 0.59259665 sig out 1act.) RANK 15 NODE 1 --> 4.65303326 sigma in 13act. ( 0.505888402 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 22.6306839 sigma out 1act.( 22.7769318 sig in 13act.) RANK 2 NODE 6 --> 18.589613 sigma out 1act.( 19.3365955 sig in 13act.) RANK 3 NODE 7 --> 17.7949715 sigma out 1act.( 19.9871426 sig in 13act.) RANK 4 NODE 13 --> 15.4272728 sigma out 1act.( 17.1681423 sig in 13act.) RANK 5 NODE 14 --> 13.0757198 sigma out 1act.( 13.7617083 sig in 13act.) RANK 6 NODE 3 --> 10.4638081 sigma out 1act.( 12.1159115 sig in 13act.) RANK 7 NODE 5 --> 9.61463928 sigma out 1act.( 12.7633305 sig in 13act.) RANK 8 NODE 12 --> 7.29532909 sigma out 1act.( 9.15143299 sig in 13act.) RANK 9 NODE 11 --> 7.00803089 sigma out 1act.( 9.42942524 sig in 13act.) RANK 10 NODE 4 --> 6.37888908 sigma out 1act.( 8.85227489 sig in 13act.) RANK 11 NODE 15 --> 5.93235159 sigma out 1act.( 8.66869259 sig in 13act.) RANK 12 NODE 2 --> 5.2060647 sigma out 1act.( 8.94472027 sig in 13act.) RANK 13 NODE 10 --> 4.1855526 sigma out 1act.( 6.45342541 sig in 13act.) RANK 14 NODE 8 --> 0.59259665 sigma out 1act.( 4.99813557 sig in 13act.) RANK 15 NODE 1 --> 0.505888402 sigma out 1act.( 4.65303326 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 44.8189316 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.419411242 *** contribution from regularisation: 0.00425230246 *** contribution from error: -0.423663557 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.460359424 *** contribution from regularisation: 0.0025732026 *** contribution from error: -0.462932616 *********************************************** -----------------> Test sample ENTER BFGS code START -42943.8271 -0.677936196 -0.122757167 EXIT FROM BFGS code FG_START 0. -0.677936196 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.481960773 *** contribution from regularisation: 0.00223155227 *** contribution from error: -0.484192312 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -44949.107 -0.677936196 -68.2350006 EXIT FROM BFGS code FG_LNSRCH 0. -0.693372905 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.512102306 *** contribution from regularisation: 0.0033129123 *** contribution from error: -0.515415192 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47760.1948 -0.693372905 23.3411465 EXIT FROM BFGS code NEW_X -47760.1948 -0.693372905 23.3411465 ENTER BFGS code NEW_X -47760.1948 -0.693372905 23.3411465 EXIT FROM BFGS code FG_LNSRCH 0. -0.689105392 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.514592826 *** contribution from regularisation: 0.00331703154 *** contribution from error: -0.517909884 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47992.4697 -0.689105392 8.17057133 EXIT FROM BFGS code NEW_X -47992.4697 -0.689105392 8.17057133 ENTER BFGS code NEW_X -47992.4697 -0.689105392 8.17057133 EXIT FROM BFGS code FG_LNSRCH 0. -0.686119318 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.51569587 *** contribution from regularisation: 0.00318833813 *** contribution from error: -0.518884182 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48095.3418 -0.686119318 7.29293776 EXIT FROM BFGS code NEW_X -48095.3418 -0.686119318 7.29293776 ENTER BFGS code NEW_X -48095.3418 -0.686119318 7.29293776 EXIT FROM BFGS code FG_LNSRCH 0. -0.679916859 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.516258895 *** contribution from regularisation: 0.00309799518 *** contribution from error: -0.519356906 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48147.855 -0.679916859 10.5112238 EXIT FROM BFGS code NEW_X -48147.855 -0.679916859 10.5112238 ENTER BFGS code NEW_X -48147.855 -0.679916859 10.5112238 EXIT FROM BFGS code FG_LNSRCH 0. -0.662635088 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.51714921 *** contribution from regularisation: 0.00302802608 *** contribution from error: -0.520177245 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48230.8878 -0.662635088 19.8821526 EXIT FROM BFGS code NEW_X -48230.8878 -0.662635088 19.8821526 ENTER BFGS code NEW_X -48230.8878 -0.662635088 19.8821526 EXIT FROM BFGS code FG_LNSRCH 0. -0.558378398 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.519238055 *** contribution from regularisation: 0.00357263023 *** contribution from error: -0.522810698 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48425.6974 -0.558378398 5.4354248 EXIT FROM BFGS code NEW_X -48425.6974 -0.558378398 5.4354248 ENTER BFGS code NEW_X -48425.6974 -0.558378398 5.4354248 EXIT FROM BFGS code FG_LNSRCH 0. -0.531488538 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 45.4018059 sigma out 15 active outputs RANK 2 NODE 1 --> 25.3102989 sigma out 15 active outputs RANK 3 NODE 13 --> 21.6291237 sigma out 15 active outputs RANK 4 NODE 10 --> 19.6525974 sigma out 15 active outputs RANK 5 NODE 4 --> 18.9556599 sigma out 15 active outputs RANK 6 NODE 7 --> 16.6370525 sigma out 15 active outputs RANK 7 NODE 3 --> 15.4142227 sigma out 15 active outputs RANK 8 NODE 9 --> 12.7292261 sigma out 15 active outputs RANK 9 NODE 8 --> 12.1777143 sigma out 15 active outputs RANK 10 NODE 12 --> 10.9009809 sigma out 15 active outputs RANK 11 NODE 11 --> 9.81940079 sigma out 15 active outputs RANK 12 NODE 6 --> 9.54222393 sigma out 15 active outputs RANK 13 NODE 5 --> 8.68523312 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 41.5844154 sigma in 13act. ( 42.3757172 sig out 1act.) RANK 2 NODE 5 --> 30.1749477 sigma in 13act. ( 30.7118187 sig out 1act.) RANK 3 NODE 3 --> 29.3467865 sigma in 13act. ( 26.3503265 sig out 1act.) RANK 4 NODE 9 --> 21.7933102 sigma in 13act. ( 29.9878731 sig out 1act.) RANK 5 NODE 6 --> 18.4219856 sigma in 13act. ( 13.9802732 sig out 1act.) RANK 6 NODE 13 --> 14.5478764 sigma in 13act. ( 15.47229 sig out 1act.) RANK 7 NODE 11 --> 12.4635048 sigma in 13act. ( 11.5915689 sig out 1act.) RANK 8 NODE 15 --> 11.7697706 sigma in 13act. ( 12.8431225 sig out 1act.) RANK 9 NODE 1 --> 8.6062088 sigma in 13act. ( 7.55620289 sig out 1act.) RANK 10 NODE 10 --> 6.91936302 sigma in 13act. ( 6.43249464 sig out 1act.) RANK 11 NODE 2 --> 6.79744768 sigma in 13act. ( 5.2441268 sig out 1act.) RANK 12 NODE 4 --> 6.35249805 sigma in 13act. ( 3.62594533 sig out 1act.) RANK 13 NODE 8 --> 6.24184036 sigma in 13act. ( 6.35828972 sig out 1act.) RANK 14 NODE 14 --> 6.05685759 sigma in 13act. ( 5.49893093 sig out 1act.) RANK 15 NODE 12 --> 4.09324694 sigma in 13act. ( 2.87996197 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 42.3757172 sigma out 1act.( 41.5844154 sig in 13act.) RANK 2 NODE 5 --> 30.7118187 sigma out 1act.( 30.1749477 sig in 13act.) RANK 3 NODE 9 --> 29.9878731 sigma out 1act.( 21.7933102 sig in 13act.) RANK 4 NODE 3 --> 26.3503265 sigma out 1act.( 29.3467865 sig in 13act.) RANK 5 NODE 13 --> 15.47229 sigma out 1act.( 14.5478764 sig in 13act.) RANK 6 NODE 6 --> 13.9802732 sigma out 1act.( 18.4219856 sig in 13act.) RANK 7 NODE 15 --> 12.8431225 sigma out 1act.( 11.7697706 sig in 13act.) RANK 8 NODE 11 --> 11.5915689 sigma out 1act.( 12.4635048 sig in 13act.) RANK 9 NODE 1 --> 7.55620289 sigma out 1act.( 8.6062088 sig in 13act.) RANK 10 NODE 10 --> 6.43249464 sigma out 1act.( 6.91936302 sig in 13act.) RANK 11 NODE 8 --> 6.35828972 sigma out 1act.( 6.24184036 sig in 13act.) RANK 12 NODE 14 --> 5.49893093 sigma out 1act.( 6.05685759 sig in 13act.) RANK 13 NODE 2 --> 5.2441268 sigma out 1act.( 6.79744768 sig in 13act.) RANK 14 NODE 4 --> 3.62594533 sigma out 1act.( 6.35249805 sig in 13act.) RANK 15 NODE 12 --> 2.87996197 sigma out 1act.( 4.09324694 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 72.6963577 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.520654142 *** contribution from regularisation: 0.0036653108 *** contribution from error: -0.52431947 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -48557.7656 -0.531488538 37.0860748 EXIT FROM BFGS code NEW_X -48557.7656 -0.531488538 37.0860748 ENTER BFGS code NEW_X -48557.7656 -0.531488538 37.0860748 EXIT FROM BFGS code FG_LNSRCH 0. -0.528253973 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.521490991 *** contribution from regularisation: 0.0034070164 *** contribution from error: -0.524897993 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48635.8153 -0.528253973 15.3994341 EXIT FROM BFGS code NEW_X -48635.8153 -0.528253973 15.3994341 ENTER BFGS code NEW_X -48635.8153 -0.528253973 15.3994341 EXIT FROM BFGS code FG_LNSRCH 0. -0.529376686 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.521760702 *** contribution from regularisation: 0.00335213006 *** contribution from error: -0.525112808 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48660.9665 -0.529376686 4.96223927 EXIT FROM BFGS code NEW_X -48660.9665 -0.529376686 4.96223927 ENTER BFGS code NEW_X -48660.9665 -0.529376686 4.96223927 EXIT FROM BFGS code FG_LNSRCH 0. -0.525983572 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.52269268 *** contribution from regularisation: 0.00319323549 *** contribution from error: -0.52588594 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48747.8892 -0.525983572 -1.02832305 EXIT FROM BFGS code NEW_X -48747.8892 -0.525983572 -1.02832305 ENTER BFGS code NEW_X -48747.8892 -0.525983572 -1.02832305 EXIT FROM BFGS code FG_LNSRCH 0. -0.501086831 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.523607671 *** contribution from regularisation: 0.00344744092 *** contribution from error: -0.527055085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48833.2234 -0.501086831 -9.85887051 EXIT FROM BFGS code NEW_X -48833.2234 -0.501086831 -9.85887051 ENTER BFGS code NEW_X -48833.2234 -0.501086831 -9.85887051 EXIT FROM BFGS code FG_LNSRCH 0. -0.457571268 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.52498281 *** contribution from regularisation: 0.00374439941 *** contribution from error: -0.528727233 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48961.4703 -0.457571268 10.2772608 EXIT FROM BFGS code NEW_X -48961.4703 -0.457571268 10.2772608 ENTER BFGS code NEW_X -48961.4703 -0.457571268 10.2772608 EXIT FROM BFGS code FG_LNSRCH 0. -0.413170129 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.526452005 *** contribution from regularisation: 0.00387764885 *** contribution from error: -0.530329645 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49098.4925 -0.413170129 20.6615391 EXIT FROM BFGS code NEW_X -49098.4925 -0.413170129 20.6615391 ENTER BFGS code NEW_X -49098.4925 -0.413170129 20.6615391 EXIT FROM BFGS code FG_LNSRCH 0. -0.378791034 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.527218282 *** contribution from regularisation: 0.00385149359 *** contribution from error: -0.531069756 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49169.959 -0.378791034 -3.61912274 EXIT FROM BFGS code NEW_X -49169.959 -0.378791034 -3.61912274 ENTER BFGS code NEW_X -49169.959 -0.378791034 -3.61912274 EXIT FROM BFGS code FG_LNSRCH 0. -0.368655294 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.52775377 *** contribution from regularisation: 0.00371608022 *** contribution from error: -0.531469822 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49219.8996 -0.368655294 3.6528275 EXIT FROM BFGS code NEW_X -49219.8996 -0.368655294 3.6528275 ENTER BFGS code NEW_X -49219.8996 -0.368655294 3.6528275 EXIT FROM BFGS code FG_LNSRCH 0. -0.35678184 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.52801156 *** contribution from regularisation: 0.00376495114 *** contribution from error: -0.531776488 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49243.9446 -0.35678184 18.4437103 EXIT FROM BFGS code NEW_X -49243.9446 -0.35678184 18.4437103 ENTER BFGS code NEW_X -49243.9446 -0.35678184 18.4437103 EXIT FROM BFGS code FG_LNSRCH 0. -0.345106483 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 64.529541 sigma out 15 active outputs RANK 2 NODE 7 --> 26.1055946 sigma out 15 active outputs RANK 3 NODE 1 --> 26.0368881 sigma out 15 active outputs RANK 4 NODE 10 --> 24.4865112 sigma out 15 active outputs RANK 5 NODE 13 --> 19.0255032 sigma out 15 active outputs RANK 6 NODE 4 --> 15.7407694 sigma out 15 active outputs RANK 7 NODE 3 --> 15.3713675 sigma out 15 active outputs RANK 8 NODE 8 --> 15.3578949 sigma out 15 active outputs RANK 9 NODE 5 --> 15.3137054 sigma out 15 active outputs RANK 10 NODE 12 --> 15.0885153 sigma out 15 active outputs RANK 11 NODE 9 --> 14.9671717 sigma out 15 active outputs RANK 12 NODE 6 --> 13.2038307 sigma out 15 active outputs RANK 13 NODE 11 --> 11.7448444 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 52.6253662 sigma in 13act. ( 77.5040359 sig out 1act.) RANK 2 NODE 7 --> 36.1070595 sigma in 13act. ( 54.2849159 sig out 1act.) RANK 3 NODE 13 --> 31.5398045 sigma in 13act. ( 35.062397 sig out 1act.) RANK 4 NODE 3 --> 30.2798042 sigma in 13act. ( 26.9905701 sig out 1act.) RANK 5 NODE 15 --> 22.9867802 sigma in 13act. ( 25.0183067 sig out 1act.) RANK 6 NODE 6 --> 21.6717758 sigma in 13act. ( 18.4633541 sig out 1act.) RANK 7 NODE 5 --> 21.5835571 sigma in 13act. ( 24.3896313 sig out 1act.) RANK 8 NODE 1 --> 16.1908188 sigma in 13act. ( 17.6929531 sig out 1act.) RANK 9 NODE 14 --> 15.9568071 sigma in 13act. ( 17.3557529 sig out 1act.) RANK 10 NODE 8 --> 8.91104126 sigma in 13act. ( 9.9869442 sig out 1act.) RANK 11 NODE 10 --> 7.20073986 sigma in 13act. ( 7.19671011 sig out 1act.) RANK 12 NODE 11 --> 6.23316288 sigma in 13act. ( 3.38751268 sig out 1act.) RANK 13 NODE 2 --> 5.56162453 sigma in 13act. ( 4.99495697 sig out 1act.) RANK 14 NODE 4 --> 4.77974844 sigma in 13act. ( 2.70685244 sig out 1act.) RANK 15 NODE 12 --> 3.75462842 sigma in 13act. ( 3.54512906 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 77.5040359 sigma out 1act.( 52.6253662 sig in 13act.) RANK 2 NODE 7 --> 54.2849159 sigma out 1act.( 36.1070595 sig in 13act.) RANK 3 NODE 13 --> 35.062397 sigma out 1act.( 31.5398045 sig in 13act.) RANK 4 NODE 3 --> 26.9905701 sigma out 1act.( 30.2798042 sig in 13act.) RANK 5 NODE 15 --> 25.0183067 sigma out 1act.( 22.9867802 sig in 13act.) RANK 6 NODE 5 --> 24.3896313 sigma out 1act.( 21.5835571 sig in 13act.) RANK 7 NODE 6 --> 18.4633541 sigma out 1act.( 21.6717758 sig in 13act.) RANK 8 NODE 1 --> 17.6929531 sigma out 1act.( 16.1908188 sig in 13act.) RANK 9 NODE 14 --> 17.3557529 sigma out 1act.( 15.9568071 sig in 13act.) RANK 10 NODE 8 --> 9.9869442 sigma out 1act.( 8.91104126 sig in 13act.) RANK 11 NODE 10 --> 7.19671011 sigma out 1act.( 7.20073986 sig in 13act.) RANK 12 NODE 2 --> 4.99495697 sigma out 1act.( 5.56162453 sig in 13act.) RANK 13 NODE 12 --> 3.54512906 sigma out 1act.( 3.75462842 sig in 13act.) RANK 14 NODE 11 --> 3.38751268 sigma out 1act.( 6.23316288 sig in 13act.) RANK 15 NODE 4 --> 2.70685244 sigma out 1act.( 4.77974844 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 115.305557 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.528224766 *** contribution from regularisation: 0.00371873123 *** contribution from error: -0.5319435 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -49263.8254 -0.345106483 4.27291584 EXIT FROM BFGS code NEW_X -49263.8254 -0.345106483 4.27291584 ENTER BFGS code NEW_X -49263.8254 -0.345106483 4.27291584 EXIT FROM BFGS code FG_LNSRCH 0. -0.339252889 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.528382421 *** contribution from regularisation: 0.0037428732 *** contribution from error: -0.532125294 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49278.5313 -0.339252889 5.49921894 EXIT FROM BFGS code NEW_X -49278.5313 -0.339252889 5.49921894 ENTER BFGS code NEW_X -49278.5313 -0.339252889 5.49921894 EXIT FROM BFGS code FG_LNSRCH 0. -0.323040754 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.52864778 *** contribution from regularisation: 0.00365298521 *** contribution from error: -0.53230077 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49303.2793 -0.323040754 24.4818592 EXIT FROM BFGS code NEW_X -49303.2793 -0.323040754 24.4818592 ENTER BFGS code NEW_X -49303.2793 -0.323040754 24.4818592 EXIT FROM BFGS code FG_LNSRCH 0. -0.30590263 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.528526843 *** contribution from regularisation: 0.00371954357 *** contribution from error: -0.532246411 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49291.9975 -0.30590263 -18.1667576 EXIT FROM BFGS code FG_LNSRCH 0. -0.317870975 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.528526902 *** contribution from regularisation: 0.00386177329 *** contribution from error: -0.532388687 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49292.0029 -0.317870975 12.7504072 EXIT FROM BFGS code FG_LNSRCH 0. -0.322494596 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.5284971 *** contribution from regularisation: 0.00381726422 *** contribution from error: -0.53231436 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49289.2266 -0.322494596 23.254158 EXIT FROM BFGS code FG_LNSRCH 0. -0.323033035 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.528511822 *** contribution from regularisation: 0.0037892391 *** contribution from error: -0.532301068 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49290.5966 -0.323033035 24.4520569 EXIT FROM BFGS code FG_LNSRCH 0. -0.323040754 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.528500676 *** contribution from regularisation: 0.00380012486 *** contribution from error: -0.53230083 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49289.5567 -0.323040754 24.5018368 EXIT FROM BFGS code FG_LNSRCH 0. -0.323040754 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.528502643 *** contribution from regularisation: 0.00379815139 *** contribution from error: -0.53230077 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49289.7407 -0.323040754 24.4353771 EXIT FROM BFGS code FG_LNSRCH 0. -0.323040754 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.528522491 *** contribution from regularisation: 0.00377827627 *** contribution from error: -0.53230077 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49291.5943 -0.323040754 24.4963474 EXIT FROM BFGS code FG_LNSRCH 0. -0.323040754 0. --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 65.6466827 sigma out 15 active outputs RANK 2 NODE 1 --> 28.36376 sigma out 15 active outputs RANK 3 NODE 7 --> 25.6887112 sigma out 15 active outputs RANK 4 NODE 10 --> 22.5938129 sigma out 15 active outputs RANK 5 NODE 13 --> 20.4685688 sigma out 15 active outputs RANK 6 NODE 9 --> 18.0347748 sigma out 15 active outputs RANK 7 NODE 12 --> 18.0323753 sigma out 15 active outputs RANK 8 NODE 3 --> 15.8874922 sigma out 15 active outputs RANK 9 NODE 4 --> 15.4184504 sigma out 15 active outputs RANK 10 NODE 8 --> 14.6570902 sigma out 15 active outputs RANK 11 NODE 5 --> 14.0443478 sigma out 15 active outputs RANK 12 NODE 6 --> 13.7293262 sigma out 15 active outputs RANK 13 NODE 11 --> 13.2904463 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 50.5054131 sigma in 13act. ( 74.9016037 sig out 1act.) RANK 2 NODE 7 --> 37.2440109 sigma in 13act. ( 53.361145 sig out 1act.) RANK 3 NODE 13 --> 34.1237984 sigma in 13act. ( 38.5410805 sig out 1act.) RANK 4 NODE 3 --> 33.0524101 sigma in 13act. ( 28.8580971 sig out 1act.) RANK 5 NODE 6 --> 25.1483879 sigma in 13act. ( 22.0337868 sig out 1act.) RANK 6 NODE 15 --> 23.675909 sigma in 13act. ( 25.6553974 sig out 1act.) RANK 7 NODE 5 --> 21.3787708 sigma in 13act. ( 23.7681065 sig out 1act.) RANK 8 NODE 14 --> 16.4519615 sigma in 13act. ( 17.3746128 sig out 1act.) RANK 9 NODE 1 --> 16.0813084 sigma in 13act. ( 16.9994049 sig out 1act.) RANK 10 NODE 8 --> 9.09201622 sigma in 13act. ( 10.0614529 sig out 1act.) RANK 11 NODE 10 --> 7.47899055 sigma in 13act. ( 7.29841709 sig out 1act.) RANK 12 NODE 11 --> 5.94513655 sigma in 13act. ( 2.90139389 sig out 1act.) RANK 13 NODE 2 --> 5.88091803 sigma in 13act. ( 5.45315647 sig out 1act.) RANK 14 NODE 4 --> 4.69186163 sigma in 13act. ( 2.62090492 sig out 1act.) RANK 15 NODE 12 --> 4.05442572 sigma in 13act. ( 3.91719508 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 74.9016037 sigma out 1act.( 50.5054131 sig in 13act.) RANK 2 NODE 7 --> 53.361145 sigma out 1act.( 37.2440109 sig in 13act.) RANK 3 NODE 13 --> 38.5410805 sigma out 1act.( 34.1237984 sig in 13act.) RANK 4 NODE 3 --> 28.8580971 sigma out 1act.( 33.0524101 sig in 13act.) RANK 5 NODE 15 --> 25.6553974 sigma out 1act.( 23.675909 sig in 13act.) RANK 6 NODE 5 --> 23.7681065 sigma out 1act.( 21.3787708 sig in 13act.) RANK 7 NODE 6 --> 22.0337868 sigma out 1act.( 25.1483879 sig in 13act.) RANK 8 NODE 14 --> 17.3746128 sigma out 1act.( 16.4519615 sig in 13act.) RANK 9 NODE 1 --> 16.9994049 sigma out 1act.( 16.0813084 sig in 13act.) RANK 10 NODE 8 --> 10.0614529 sigma out 1act.( 9.09201622 sig in 13act.) RANK 11 NODE 10 --> 7.29841709 sigma out 1act.( 7.47899055 sig in 13act.) RANK 12 NODE 2 --> 5.45315647 sigma out 1act.( 5.88091803 sig in 13act.) RANK 13 NODE 12 --> 3.91719508 sigma out 1act.( 4.05442572 sig in 13act.) RANK 14 NODE 11 --> 2.90139389 sigma out 1act.( 5.94513655 sig in 13act.) RANK 15 NODE 4 --> 2.62090492 sigma out 1act.( 4.69186163 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 115.283134 sigma in 15 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.528498828 *** contribution from regularisation: 0.00380197424 *** contribution from error: -0.53230083 *********************************************** -----------------> Test sample Iteration No: 30 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -49289.3842 -0.323040754 24.5172501 EXIT FROM BFGS code NEW_X -49289.3842 -0.323040754 24.5172501 ENTER BFGS code NEW_X -49289.3842 -0.323040754 24.5172501 EXIT FROM BFGS code CONVERGENC -49289.3842 -0.323040754 24.5172501 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 100.042229 sigma out 15 active outputs RANK 2 NODE 1 --> 43.1307449 sigma out 15 active outputs RANK 3 NODE 7 --> 37.6599312 sigma out 15 active outputs RANK 4 NODE 10 --> 33.1701431 sigma out 15 active outputs RANK 5 NODE 13 --> 31.6847286 sigma out 15 active outputs RANK 6 NODE 9 --> 28.4381523 sigma out 15 active outputs RANK 7 NODE 12 --> 28.1846218 sigma out 15 active outputs RANK 8 NODE 3 --> 23.7644558 sigma out 15 active outputs RANK 9 NODE 8 --> 22.3346558 sigma out 15 active outputs RANK 10 NODE 4 --> 22.2515736 sigma out 15 active outputs RANK 11 NODE 5 --> 21.768589 sigma out 15 active outputs RANK 12 NODE 6 --> 21.0381145 sigma out 15 active outputs RANK 13 NODE 11 --> 19.168047 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 76.4394302 sigma in 13act. ( 116.848442 sig out 1act.) RANK 2 NODE 7 --> 56.223877 sigma in 13act. ( 82.8897934 sig out 1act.) RANK 3 NODE 13 --> 52.795887 sigma in 13act. ( 59.919796 sig out 1act.) RANK 4 NODE 3 --> 50.6096039 sigma in 13act. ( 44.3157921 sig out 1act.) RANK 5 NODE 6 --> 38.21175 sigma in 13act. ( 33.3991356 sig out 1act.) RANK 6 NODE 15 --> 36.4794998 sigma in 13act. ( 38.9501495 sig out 1act.) RANK 7 NODE 5 --> 32.3293915 sigma in 13act. ( 37.2519836 sig out 1act.) RANK 8 NODE 14 --> 24.3895721 sigma in 13act. ( 27.4632549 sig out 1act.) RANK 9 NODE 1 --> 23.5232735 sigma in 13act. ( 26.9368534 sig out 1act.) RANK 10 NODE 8 --> 13.7952423 sigma in 13act. ( 15.9691162 sig out 1act.) RANK 11 NODE 10 --> 11.0026064 sigma in 13act. ( 11.2484722 sig out 1act.) RANK 12 NODE 2 --> 8.49944973 sigma in 13act. ( 8.48775864 sig out 1act.) RANK 13 NODE 11 --> 6.93548107 sigma in 13act. ( 4.562428 sig out 1act.) RANK 14 NODE 4 --> 5.88075018 sigma in 13act. ( 4.10845709 sig out 1act.) RANK 15 NODE 12 --> 5.78380442 sigma in 13act. ( 6.23543215 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 116.848442 sigma out 1act.( 76.4394302 sig in 13act.) RANK 2 NODE 7 --> 82.8897934 sigma out 1act.( 56.223877 sig in 13act.) RANK 3 NODE 13 --> 59.919796 sigma out 1act.( 52.795887 sig in 13act.) RANK 4 NODE 3 --> 44.3157921 sigma out 1act.( 50.6096039 sig in 13act.) RANK 5 NODE 15 --> 38.9501495 sigma out 1act.( 36.4794998 sig in 13act.) RANK 6 NODE 5 --> 37.2519836 sigma out 1act.( 32.3293915 sig in 13act.) RANK 7 NODE 6 --> 33.3991356 sigma out 1act.( 38.21175 sig in 13act.) RANK 8 NODE 14 --> 27.4632549 sigma out 1act.( 24.3895721 sig in 13act.) RANK 9 NODE 1 --> 26.9368534 sigma out 1act.( 23.5232735 sig in 13act.) RANK 10 NODE 8 --> 15.9691162 sigma out 1act.( 13.7952423 sig in 13act.) RANK 11 NODE 10 --> 11.2484722 sigma out 1act.( 11.0026064 sig in 13act.) RANK 12 NODE 2 --> 8.48775864 sigma out 1act.( 8.49944973 sig in 13act.) RANK 13 NODE 12 --> 6.23543215 sigma out 1act.( 5.78380442 sig in 13act.) RANK 14 NODE 11 --> 4.562428 sigma out 1act.( 6.93548107 sig in 13act.) RANK 15 NODE 4 --> 4.10845709 sigma out 1act.( 5.88075018 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 179.189453 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.528494775 *** contribution from regularisation: 0.00380603154 *** contribution from error: -0.53230083 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 30604 Closing output file done