NNInput NNInputs_120.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= 189021 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 = 47316 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 47316 Chosen entries: 47316 Signal fraction: 1 Background fraction: 0.333905 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 47316 Entries to split: 47316 Test with : 23658 Train with : 23658 ********************************************* * 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= 47316 for Signal Prepared event 0 for Signal with 47316 events ====Entry 0 Variable Ht : 156.497 Variable LepAPt : 24.4462 Variable LepBPt : 15.2546 Variable MetSigLeptonsJets : 4.03888 Variable MetSpec : 26.0087 Variable SumEtLeptonsJets : 113.473 Variable VSumJetLeptonsPt : 37.0367 Variable addEt : 82.7245 Variable dPhiLepSumMet : 0.85328 Variable dPhiLeptons : 0.330941 Variable dRLeptons : 0.538617 Variable lep1_E : 30.9903 Variable lep2_E : 15.9065 ===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 = 2120 Ht = 156.497 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 24.4462 LepAPt = 24.4462 LepBEt = 15.2546 LepBPt = 15.2546 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.0236 MetDelPhi = 0.649165 MetSig = 3.00203 MetSigLeptonsJets = 4.03888 MetSpec = 26.0087 Mjj = 0 MostCentralJetEta = -1.64867 MtllMet = 86.7807 Njets = 1 SB = 0 SumEt = 205.392 SumEtJets = 0 SumEtLeptonsJets = 113.473 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 37.0367 addEt = 82.7245 dPhiLepSumMet = 0.85328 dPhiLeptons = 0.330941 dRLeptons = 0.538617 diltype = 45 dimass = 10.4324 event = 71 jet1_Et = 73.7722 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.9903 lep2_E = 15.9065 rand = 0.999742 run = 232428 weight = 1.10299e-06 ===Show End Prepared event 10000 for Signal with 47316 events Prepared event 20000 for Signal with 47316 events Prepared event 30000 for Signal with 47316 events Prepared event 40000 for Signal with 47316 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= 141705 for Background Prepared event 0 for Background with 141705 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 = 0.268977 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepared event 110000 for Background with 141705 events Prepared event 120000 for Background with 141705 events Prepared event 130000 for Background with 141705 events Prepared event 140000 for Background with 141705 events Warning: found 4454 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 189021 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 4454 negative weights. Signal fraction: 62.6871033 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 47.1748543 61.8946152 64.1772919 65.9250488 67.2500076 68.4234009 69.2847824 70.2292633 71.1472549 71.8817139 72.7237244 73.4799881 74.1911163 74.8385162 75.3752441 76.004425 76.7251816 77.1956787 77.8620605 78.4288788 79.0222549 79.5828857 80.1224823 80.7602692 81.3005905 81.956192 82.5232849 83.1356354 83.8361435 84.6582947 85.4183884 86.2239304 87.0975189 88.0115051 88.8526459 89.8688583 90.9545593 91.9780045 92.9686737 93.8855591 94.8417969 95.7236633 96.5815887 97.4701385 98.4077759 99.3816605 100.226608 101.122589 101.992874 102.894073 103.914688 104.586281 105.488365 106.337265 107.2742 108.111221 109.028824 109.933853 110.879959 111.829468 112.821747 113.828613 114.827942 116.015625 117.124039 118.321274 119.578987 120.603439 121.959961 123.407898 125.097275 126.603493 128.267273 129.906555 131.800934 133.62973 135.615692 137.460876 139.32608 141.409576 143.60112 145.937134 148.157074 150.720505 153.250854 155.97583 159.047729 162.27002 165.961029 169.852203 174.621521 179.70462 185.260178 191.917999 199.274002 207.899048 220.145477 235.240356 261.326172 314.160919 893.967896 ------------------------------ Transdef: Tab for variable 3 20.0001564 20.2830067 20.5755081 20.8336296 21.074276 21.3068733 21.5337029 21.7792912 21.9972973 22.1875343 22.383194 22.5646935 22.756546 22.9491692 23.1292 23.2794609 23.4830074 23.6716137 23.836853 24.0528164 24.2226944 24.4404907 24.6385269 24.8155708 25.0171909 25.2014999 25.3475571 25.521965 25.7010918 25.8932438 26.1124001 26.2879238 26.4586487 26.660183 26.8948135 27.0944595 27.2787323 27.4734917 27.6702271 27.87607 28.0640297 28.2465019 28.4643478 28.6916981 28.9155674 29.1049023 29.3003349 29.5414391 29.7369232 29.929884 30.1589966 30.4317131 30.6375732 30.8498001 31.0881157 31.3442307 31.5498829 31.753521 32.0039177 32.2443848 32.5141602 32.7637711 33.0333672 33.3295441 33.6175728 33.8862457 34.1812439 34.4850082 34.8049393 35.1573181 35.4321556 35.7846832 36.1733589 36.5537453 36.9223633 37.3024673 37.6803627 38.1036148 38.5312614 38.9856949 39.3271637 39.7909241 40.3135796 40.8138657 41.251091 41.8833084 42.5185242 43.2363701 43.9985809 44.87146 45.7587662 46.838028 47.9360886 49.4116898 51.0080414 53.0310478 55.6803551 59.3067856 64.4316483 73.17202 158.143112 ------------------------------ Transdef: Tab for variable 4 10.0000496 10.1001892 10.1967087 10.2935371 10.3776627 10.465703 10.5590754 10.6549797 10.7534523 10.8457232 10.9418955 11.0324326 11.1412725 11.2434883 11.3483715 11.4381008 11.547081 11.6430607 11.7535734 11.8557777 11.9715462 12.0747757 12.1905098 12.3054008 12.4028139 12.5234413 12.6410713 12.7647266 12.861496 12.9738159 13.0923004 13.2308903 13.3779736 13.4955711 13.612793 13.7428722 13.8736296 13.9892921 14.118125 14.2588577 14.3688469 14.5043468 14.6396618 14.7987814 14.9513149 15.1037378 15.2485504 15.3826542 15.5204849 15.6649761 15.7919521 15.9161911 16.0669041 16.2215805 16.3787498 16.5360947 16.7081299 16.8809662 17.0616646 17.2520981 17.4310722 17.6249847 17.7794323 17.986248 18.1121178 18.3294163 18.4954567 18.6911964 18.8994598 19.1100197 19.3193359 19.5545769 19.7887726 20.0044174 20.2133598 20.3666496 20.5556259 20.8006153 21.0354786 21.2887306 21.5602264 21.8381462 22.0464897 22.3669472 22.6960106 23.0099316 23.3483124 23.7339592 24.116436 24.5365906 25.0174847 25.5210342 26.0823421 26.658577 27.3161945 28.0980492 29.1517296 30.5970726 32.6873894 36.40131 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.14480996 2.3449688 2.67607737 2.92957783 3.12491441 3.29057693 3.44137049 3.59532261 3.72893667 3.86070395 3.98364091 4.09663105 4.19933891 4.30266619 4.38758564 4.46690941 4.55509138 4.62585926 4.69419861 4.77645016 4.84572506 4.91711617 4.98330784 5.03847408 5.09464455 5.15190411 5.20064783 5.26008368 5.30311203 5.35278225 5.39499569 5.44442177 5.48443747 5.52015781 5.5629034 5.60339069 5.64213943 5.68493938 5.72954845 5.7746439 5.81970358 5.85503769 5.90073395 5.94169569 5.98333836 6.01631165 6.05930424 6.09649849 6.13032627 6.17183208 6.20381641 6.23976135 6.27763653 6.31080008 6.34850121 6.39071703 6.42853546 6.47014141 6.50985241 6.55151129 6.59261227 6.63165236 6.67299795 6.71211147 6.74857426 6.78444386 6.8279829 6.86751747 6.90287971 6.95215273 6.99304485 7.03898907 7.08701611 7.12908745 7.17113209 7.21448946 7.25318146 7.30115604 7.35758591 7.41067791 7.4622016 7.50139761 7.56169224 7.62459612 7.68707943 7.75003862 7.82344151 7.89966726 7.97973537 8.06739235 8.15046883 8.25418282 8.36176014 8.47709179 8.60880852 8.77933025 8.97335339 9.2712307 9.64320183 10.5717983 18.191782 ------------------------------ Transdef: Tab for variable 6 15.0018101 18.72472 22.4818039 25.1769161 25.8944969 26.6548119 27.2840042 27.9448662 28.6551933 29.2873344 29.8601799 30.4111042 30.9483795 31.4492645 31.9104176 32.4147415 32.8650513 33.2251663 33.611393 33.9834328 34.3934784 34.7091866 35.0102005 35.341362 35.7158585 36.076004 36.3968582 36.6984482 36.9880829 37.3047943 37.5987854 37.8626289 38.1917191 38.549469 38.8874283 39.2149429 39.5174904 39.8426056 40.1602325 40.4143181 40.731102 41.0729599 41.3909836 41.7133484 42.0810356 42.4484863 42.8166199 43.1154213 43.4299736 43.7841606 44.1499825 44.5093994 44.8034592 45.2265587 45.624176 46.0339966 46.5009766 46.9041138 47.3359909 47.7155304 48.1792374 48.6055756 49.0377426 49.4616776 49.9731674 50.3404503 50.7335396 51.1350937 51.6128387 52.0867386 52.5978394 53.1266937 53.6426544 54.1710854 54.694622 55.1967697 55.7046776 56.1917152 56.6991425 57.2406921 57.8369675 58.4253998 58.9480324 59.6089554 60.3123856 61.0931854 61.9580002 62.8358192 63.9230042 65.168869 66.4886017 67.877243 69.5326233 71.6049118 73.7640381 76.251442 78.4319 82.3423843 87.801384 97.4848175 250.623764 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.4671707 33.5357666 34.095211 34.7336235 35.2559738 35.6964722 36.1359253 36.4640617 36.8737831 37.2622223 37.5997505 37.9237061 38.1977692 38.4693794 38.7888832 39.0617447 39.3587723 39.5758171 39.892765 40.2069397 40.4588509 40.7227287 40.9950562 41.3436775 41.6203156 41.9525452 42.2867851 42.6951218 43.0809364 43.4932594 43.98069 44.456955 44.8547554 45.2041245 45.7075768 46.1987305 46.7367172 47.2952576 47.8755188 48.3897438 49.0134277 49.5584068 50.1369057 50.6951447 51.2235413 51.825119 52.4251251 52.9891434 53.6360397 54.2065353 54.8481979 55.4912643 56.082634 56.7587471 57.3674278 58.0358429 58.7474289 59.5003967 60.3436203 61.0670776 61.7408066 62.67939 63.7795792 64.9839172 66.1456604 67.3623657 68.6847687 70.174118 71.5093689 72.9534302 74.228653 75.5707397 76.87854 78.3558197 79.8627243 81.4620056 82.9353333 84.7017212 86.6335144 88.6212616 90.6501007 92.8495712 94.9445953 97.5119247 100.073692 102.741623 105.660965 108.584946 112.218719 116.157562 120.498955 125.22287 131.603546 138.467896 146.869553 156.983154 168.694061 189.559006 223.497986 499.137787 ------------------------------ Transdef: Tab for variable 8 0.678276479 20.3590107 25.0641232 27.9845428 29.641819 30.7492371 31.6151295 32.3215904 32.8884201 33.363678 33.7855301 34.134903 34.4874153 34.8498917 35.1772156 35.4924698 35.8346786 36.0993652 36.4024925 36.6266136 36.9139862 37.1883163 37.4271622 37.708519 37.9474335 38.1576691 38.4149361 38.6403885 38.8478775 39.0627975 39.3047714 39.5557327 39.8410225 40.087265 40.3536224 40.5561371 40.8112183 41.0746689 41.35149 41.6517639 41.899231 42.1980324 42.537487 42.8225632 43.1435165 43.4699783 43.8318634 44.1897354 44.5221863 44.8820038 45.2138824 45.5606384 45.9433975 46.3840103 46.7613564 47.1818504 47.6112595 48.0201416 48.3527985 48.7535744 49.1272812 49.5044403 49.9231529 50.3109589 50.7728043 51.1793022 51.5774689 51.9863281 52.4590149 52.899437 53.3332138 53.8107834 54.263855 54.7395325 55.1833725 55.669281 56.1857109 56.7225418 57.3029518 57.9117508 58.4671745 59.1742516 59.9182816 60.6798248 61.3057365 62.2846298 63.1992989 64.2828217 65.4737701 66.7515259 68.1698303 69.7420578 71.6940002 73.9888077 76.3670044 79.2303009 83.0792847 88.0470963 95.8695526 114.305382 406.55069 ------------------------------ Transdef: Tab for variable 9 47.1748543 61.0288315 63.2975006 65.0036316 66.2376709 67.327774 68.4007874 69.0663834 69.9503708 70.7077942 71.5170441 72.0928192 72.8483276 73.5166626 74.1408386 74.7217407 75.2632217 75.6997147 76.2283249 76.852272 77.1632843 77.7403183 78.2579422 78.6702728 79.262207 79.6764832 80.0667114 80.5874481 81.0440445 81.5700226 82.0339508 82.5198212 83.0163193 83.5786896 84.1423035 84.7163239 85.3288803 86.0580444 86.6137085 87.1268845 87.8542099 88.5259247 89.1898193 89.9574966 90.5864792 91.3206177 92.0833511 92.8301392 93.536026 94.3120422 94.9329147 95.6440506 96.2800446 96.880127 97.6421432 98.3525848 99.0509796 99.7210388 100.434128 101.145706 101.795998 102.430954 103.132935 103.878265 104.509659 105.167908 105.864624 106.547989 107.261765 107.940804 108.603287 109.286484 109.931732 110.597145 111.265915 111.982178 112.71859 113.416229 114.133064 114.892799 115.760666 116.539841 117.382034 118.330147 119.169838 119.942902 120.932846 122.135056 123.315277 124.824669 126.379501 128.269379 130.373611 132.832977 136.182098 140.459167 145.994263 153.932343 165.743805 191.396759 446.331207 ------------------------------ Transdef: Tab for variable 10 0.00602381537 0.810848951 1.0985589 1.29621887 1.45371163 1.5771215 1.6950655 1.79181433 1.88219023 1.96102118 2.03337145 2.10021734 2.15806222 2.20661402 2.25670481 2.30212498 2.34288788 2.38108563 2.41994715 2.45410156 2.48264742 2.5117588 2.53998041 2.56957984 2.59547591 2.61856675 2.63949847 2.66522884 2.68841648 2.70984602 2.73165488 2.75290847 2.77080297 2.78637457 2.80218029 2.81852221 2.83230567 2.84564066 2.85625982 2.86568069 2.87753177 2.88748002 2.89674354 2.9053185 2.91462469 2.92276478 2.93089437 2.93830538 2.94660902 2.95421934 2.96086359 2.96696949 2.9741559 2.97934914 2.9845705 2.98859 2.9928894 2.99700236 3.00245261 3.00669098 3.0120585 3.01659012 3.02120876 3.02544594 3.02971315 3.03387523 3.03841591 3.0425384 3.04671645 3.05066586 3.05493903 3.05858183 3.06238651 3.06626916 3.06920624 3.07276917 3.07545471 3.07871938 3.08203077 3.08531523 3.08856511 3.09183693 3.09468937 3.09727812 3.10020995 3.10281277 3.10532308 3.10832882 3.1108079 3.11343408 3.11578226 3.11826134 3.12090111 3.12383461 3.12686586 3.12916279 3.13135052 3.1337781 3.1363287 3.13896418 3.14158416 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00620508194 0.0111044049 0.0176416636 0.0242362022 0.0328154564 0.0429474711 0.0512402058 0.0585344955 0.0664506853 0.0746405721 0.0828559697 0.0909768343 0.0987112522 0.107541673 0.114441864 0.122246385 0.130559921 0.138913751 0.147283971 0.155803204 0.163380623 0.170943439 0.177464604 0.184259996 0.191379905 0.198471963 0.205207109 0.212219507 0.21863547 0.225810468 0.232589602 0.237421274 0.244096756 0.250645638 0.25742507 0.262696564 0.268043399 0.273893982 0.279949307 0.285780907 0.291799664 0.297810316 0.302659035 0.308713317 0.314899713 0.321285009 0.327516675 0.333965063 0.340013742 0.345724374 0.351730108 0.357468605 0.364177406 0.370740414 0.37651974 0.382320762 0.387511015 0.39335686 0.398750424 0.404830039 0.410992801 0.416832328 0.422687918 0.428065479 0.433934927 0.440009832 0.44636032 0.452317834 0.45880115 0.464368492 0.470374107 0.476217389 0.482987493 0.490255535 0.498351336 0.505566657 0.512433171 0.519713163 0.526405394 0.533501625 0.539795578 0.547408819 0.556234956 0.565813243 0.574708104 0.585256577 0.595153689 0.60644424 0.619076252 0.630620718 0.642258644 0.657130957 0.672080994 0.691973329 0.712256432 0.731154442 0.764904976 0.800626159 0.859364986 1.14463592 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.22644645 0.244901329 0.259324372 0.272176743 0.283147514 0.293959856 0.303001076 0.31172663 0.319966376 0.328323126 0.336591482 0.344381094 0.351297736 0.357806385 0.365192533 0.371888936 0.378628552 0.386243403 0.392007411 0.397957385 0.402656019 0.407875359 0.412943512 0.417416811 0.422134638 0.42647028 0.430426598 0.43494308 0.438899368 0.442973495 0.446239203 0.450466752 0.455207378 0.459235907 0.463172197 0.467500031 0.471266925 0.475323886 0.478051156 0.482335716 0.486415625 0.49021709 0.493683219 0.49776417 0.501645625 0.505524993 0.509291053 0.51302278 0.517236352 0.521324873 0.525086045 0.52936846 0.533580065 0.537736654 0.542183638 0.546642184 0.549676359 0.553638458 0.55756402 0.561594725 0.566033363 0.570764661 0.575312138 0.579840183 0.584605813 0.589731216 0.594187856 0.598767817 0.603892446 0.608781457 0.614230514 0.619503021 0.625010014 0.631126285 0.636361718 0.64261353 0.648494363 0.655879021 0.661245167 0.667368889 0.673285067 0.678681254 0.686846733 0.695555747 0.701912582 0.711586356 0.720602274 0.729753852 0.739849806 0.74904865 0.758402944 0.769873142 0.781184316 0.795856178 0.814038396 0.834260166 0.854004562 0.884296536 0.92706573 1.14498305 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.3977547 22.1211414 22.5930195 23.2193336 23.7353382 24.2505569 24.7257919 25.1354713 25.5505371 25.8674774 26.2411633 26.6580448 27.0186939 27.3509216 27.7017326 28.0374756 28.3840752 28.688343 29.0097256 29.2977562 29.580265 29.9052811 30.2468529 30.5202942 30.81464 31.0769348 31.4027672 31.6665764 31.9293289 32.2402916 32.5106888 32.8769951 33.1606178 33.4220543 33.7209473 34.0365982 34.3449249 34.5572586 34.899498 35.2088318 35.5155029 35.8648415 36.1426849 36.4494476 36.8080063 37.1962814 37.5193787 37.895607 38.2386017 38.5753021 38.930542 39.3276711 39.7071686 40.1548424 40.5843468 40.9239082 41.3584328 41.8565254 42.3060341 42.7751083 43.1925964 43.6702385 44.1808434 44.7085838 45.2711258 45.824234 46.3916969 46.9728317 47.594841 48.1707535 48.7815475 49.437088 50.1522484 50.8398628 51.5542908 52.3555412 53.1087341 54.0690994 55.0239601 55.9680748 56.9091682 58.0386047 59.1107903 60.4501038 61.9015388 63.0231514 64.7343597 66.5363235 67.8582306 69.3663483 71.1006775 73.5591125 75.7643585 78.2855835 81.6078033 85.6553268 89.1938477 95.4255371 107.129471 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.5286274 10.9207201 11.2066669 11.3964396 11.6405258 11.8798866 12.1441154 12.3415003 12.5591917 12.8077879 13.0094681 13.2076073 13.4285278 13.6212454 13.8151321 13.998394 14.208292 14.4014931 14.6104603 14.8139954 15.0458946 15.2432976 15.4657288 15.6642857 15.8550062 16.0546494 16.2730427 16.4733391 16.6591167 16.8450241 17.0256119 17.2360878 17.4488487 17.6669941 17.8690186 18.075016 18.2507401 18.4925194 18.6851768 18.8836155 19.0942307 19.2900295 19.486557 19.7393074 19.9580231 20.178093 20.3973389 20.6366196 20.8510838 21.0811329 21.2966766 21.5181637 21.736618 21.9479294 22.2095108 22.4460392 22.6908989 22.9404793 23.1875877 23.4434414 23.7291946 24.0253639 24.3065948 24.587328 24.8845062 25.2006683 25.536499 25.8147202 26.1107063 26.3956985 26.7177753 27.0490685 27.3787155 27.6766815 27.9612503 28.3031712 28.7331848 29.1061668 29.5477276 29.9697876 30.4468651 30.9850368 31.5045376 32.0820465 32.8010941 33.4473801 34.0137024 34.8194008 35.6817474 36.6064644 37.4980659 38.6242447 39.8669968 41.2977104 42.9941406 45.2734985 47.9786148 52.108017 58.4608612 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 52.7 37.6 29.2 5.3 29.6 51.0 34.6 47.9 -29.3 -5.9 -20.7 2.1 -4.0 2 52.7 100.0 63.4 46.3 13.5 55.6 94.2 60.1 89.1 -53.0 -17.7 -41.3 28.8 15.5 3 37.6 63.4 100.0 22.8 -8.2 22.2 66.8 42.7 68.5 -22.3 -19.1 -45.4 61.8 2.7 4 29.2 46.3 22.8 100.0 -2.9 19.0 48.2 32.9 50.3 -14.4 -23.2 -50.1 7.1 65.0 5 5.3 13.5 -8.2 -2.9 100.0 80.4 -13.9 45.3 42.8 31.1 3.6 7.5 -11.3 -6.0 6 29.6 55.6 22.2 19.0 80.4 100.0 32.6 70.7 73.6 -1.4 -5.2 -13.1 4.2 2.7 7 51.0 94.2 66.8 48.2 -13.9 32.6 100.0 52.7 76.3 -59.8 -18.0 -43.0 33.0 18.1 8 34.6 60.1 42.7 32.9 45.3 70.7 52.7 100.0 73.9 -8.6 -14.3 -28.9 19.1 11.9 9 47.9 89.1 68.5 50.3 42.8 73.6 76.3 73.9 100.0 -26.3 -19.2 -45.0 33.6 19.7 10 -29.3 -53.0 -22.3 -14.4 31.1 -1.4 -59.8 -8.6 -26.3 100.0 4.8 13.2 -6.5 -1.2 11 -5.9 -17.7 -19.1 -23.2 3.6 -5.2 -18.0 -14.3 -19.2 4.8 100.0 53.2 -8.6 -13.7 12 -20.7 -41.3 -45.4 -50.1 7.5 -13.1 -43.0 -28.9 -45.0 13.2 53.2 100.0 -21.8 -24.6 13 2.1 28.8 61.8 7.1 -11.3 4.2 33.0 19.1 33.6 -6.5 -8.6 -21.8 100.0 38.9 14 -4.0 15.5 2.7 65.0 -6.0 2.7 18.1 11.9 19.7 -1.2 -13.7 -24.6 38.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 115.694448 TOTAL CORRELATION OF ALL VARIABLES 58.8180613 ROUND 1: MAX CORR ( 58.818003) AFTER KILLING INPUT VARIABLE 5 CONTR 0.0828034141 ROUND 2: MAX CORR ( 58.8165991) AFTER KILLING INPUT VARIABLE 7 CONTR 0.406372528 ROUND 3: MAX CORR ( 58.7665526) AFTER KILLING INPUT VARIABLE 11 CONTR 2.42582495 ROUND 4: MAX CORR ( 58.6871026) AFTER KILLING INPUT VARIABLE 8 CONTR 3.05478199 ROUND 5: MAX CORR ( 58.5901668) AFTER KILLING INPUT VARIABLE 10 CONTR 3.37170106 ROUND 6: MAX CORR ( 58.3875876) AFTER KILLING INPUT VARIABLE 6 CONTR 4.86798307 ROUND 7: MAX CORR ( 58.3569574) AFTER KILLING INPUT VARIABLE 9 CONTR 1.89100695 ROUND 8: MAX CORR ( 57.8985787) AFTER KILLING INPUT VARIABLE 12 CONTR 7.29993622 ROUND 9: MAX CORR ( 57.3044627) AFTER KILLING INPUT VARIABLE 13 CONTR 8.2730868 ROUND 10: MAX CORR ( 57.080226) AFTER KILLING INPUT VARIABLE 3 CONTR 5.06450826 ROUND 11: MAX CORR ( 54.1491611) AFTER KILLING INPUT VARIABLE 4 CONTR 18.0560392 ROUND 12: MAX CORR ( 52.7254208) AFTER KILLING INPUT VARIABLE 14 CONTR 12.335382 LAST REMAINING VARIABLE: 2 total correlation to target: 58.8180613 % total significance: 114.551328 sigma correlations of single variables to target: variable 2: 52.7254208 % , in sigma: 102.685584 variable 3: 37.6014726 % , in sigma: 73.2308842 variable 4: 29.2205929 % , in sigma: 56.9086715 variable 5: 5.26172457 % , in sigma: 10.2474907 variable 6: 29.5620426 % , in sigma: 57.5736632 variable 7: 50.9898831 % , in sigma: 99.3055316 variable 8: 34.6403631 % , in sigma: 67.4639646 variable 9: 47.868693 % , in sigma: 93.2268465 variable 10: -29.3224569 % , in sigma: 57.1070572 variable 11: -5.8982425 % , in sigma: 11.4871436 variable 12: -20.7280355 % , in sigma: 40.3689607 variable 13: 2.08173462 % , in sigma: 4.0542898 variable 14: -4.00072946 % , in sigma: 7.79163514 variables sorted by significance: 1 most relevant variable 2 corr 52.7254219 , in sigma: 102.685586 2 most relevant variable 14 corr 12.3353815 , in sigma: 24.0238169 3 most relevant variable 4 corr 18.0560398 , in sigma: 35.1651057 4 most relevant variable 3 corr 5.06450844 , in sigma: 9.86340176 5 most relevant variable 13 corr 8.27308655 , in sigma: 16.1122797 6 most relevant variable 12 corr 7.29993629 , in sigma: 14.2170174 7 most relevant variable 9 corr 1.89100695 , in sigma: 3.68283743 8 most relevant variable 6 corr 4.86798286 , in sigma: 9.48065766 9 most relevant variable 10 corr 3.371701 , in sigma: 6.5665685 10 most relevant variable 8 corr 3.05478191 , in sigma: 5.94935158 11 most relevant variable 11 corr 2.42582488 , in sigma: 4.72442403 12 most relevant variable 7 corr 0.406372517 , in sigma: 0.791432268 13 most relevant variable 5 corr 0.0828034133 , in sigma: 0.161264087 global correlations between input variables: variable 2: 99.0584838 % variable 3: 93.518833 % variable 4: 89.5947009 % variable 5: 94.7046577 % variable 6: 93.608518 % variable 7: 98.5789125 % variable 8: 84.5567454 % variable 9: 98.7161769 % variable 10: 72.7264182 % variable 11: 54.2149053 % variable 12: 72.507367 % variable 13: 83.8916564 % variable 14: 85.2994554 % significance loss when removing single variables: variable 2: corr = 5.94929211 % , sigma = 11.5865654 variable 3: corr = 10.2564016 % , sigma = 19.9748921 variable 4: corr = 12.0942298 % , sigma = 23.5541611 variable 5: corr = 0.0828034141 % , sigma = 0.161264089 variable 6: corr = 3.40113862 % , sigma = 6.62389983 variable 7: corr = 0.412925827 % , sigma = 0.80419519 variable 8: corr = 2.89183034 % , sigma = 5.63199466 variable 9: corr = 3.5947107 % , sigma = 7.00089185 variable 10: corr = 3.3587919 % , sigma = 6.54142734 variable 11: corr = 2.44638259 % , sigma = 4.76446127 variable 12: corr = 4.97329346 % , sigma = 9.6857557 variable 13: corr = 8.22888175 % , sigma = 16.0261885 variable 14: corr = 9.00804416 % , sigma = 17.543649 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 25.3406315 sigma out 15 active outputs RANK 2 NODE 7 --> 24.512104 sigma out 15 active outputs RANK 3 NODE 10 --> 22.9584713 sigma out 15 active outputs RANK 4 NODE 2 --> 22.6952152 sigma out 15 active outputs RANK 5 NODE 4 --> 22.4501801 sigma out 15 active outputs RANK 6 NODE 1 --> 20.6661015 sigma out 15 active outputs RANK 7 NODE 12 --> 19.5009022 sigma out 15 active outputs RANK 8 NODE 6 --> 19.0400696 sigma out 15 active outputs RANK 9 NODE 11 --> 18.1626053 sigma out 15 active outputs RANK 10 NODE 3 --> 16.7406635 sigma out 15 active outputs RANK 11 NODE 9 --> 15.6878538 sigma out 15 active outputs RANK 12 NODE 5 --> 15.1559734 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 31.2865486 sigma in 12act. ( 37.8411484 sig out 1act.) RANK 2 NODE 11 --> 29.9062748 sigma in 12act. ( 25.8819962 sig out 1act.) RANK 3 NODE 3 --> 27.2817822 sigma in 12act. ( 25.1242466 sig out 1act.) RANK 4 NODE 9 --> 26.0108871 sigma in 12act. ( 27.6596355 sig out 1act.) RANK 5 NODE 12 --> 24.4643822 sigma in 12act. ( 26.4005718 sig out 1act.) RANK 6 NODE 14 --> 19.7255421 sigma in 12act. ( 19.7896233 sig out 1act.) RANK 7 NODE 13 --> 18.5998993 sigma in 12act. ( 18.1748924 sig out 1act.) RANK 8 NODE 10 --> 14.8647633 sigma in 12act. ( 13.3060713 sig out 1act.) RANK 9 NODE 15 --> 9.3897047 sigma in 12act. ( 6.31979179 sig out 1act.) RANK 10 NODE 4 --> 7.16204071 sigma in 12act. ( 8.96860218 sig out 1act.) RANK 11 NODE 5 --> 6.15265894 sigma in 12act. ( 5.76439762 sig out 1act.) RANK 12 NODE 7 --> 3.57006741 sigma in 12act. ( 5.42799282 sig out 1act.) RANK 13 NODE 6 --> 2.07835078 sigma in 12act. ( 2.88613224 sig out 1act.) RANK 14 NODE 2 --> 1.00489819 sigma in 12act. ( 0.200246871 sig out 1act.) RANK 15 NODE 8 --> 0.999102831 sigma in 12act. ( 0.841013312 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 37.8411484 sigma out 1act.( 31.2865486 sig in 12act.) RANK 2 NODE 9 --> 27.6596355 sigma out 1act.( 26.0108871 sig in 12act.) RANK 3 NODE 12 --> 26.4005718 sigma out 1act.( 24.4643822 sig in 12act.) RANK 4 NODE 11 --> 25.8819962 sigma out 1act.( 29.9062748 sig in 12act.) RANK 5 NODE 3 --> 25.1242466 sigma out 1act.( 27.2817822 sig in 12act.) RANK 6 NODE 14 --> 19.7896233 sigma out 1act.( 19.7255421 sig in 12act.) RANK 7 NODE 13 --> 18.1748924 sigma out 1act.( 18.5998993 sig in 12act.) RANK 8 NODE 10 --> 13.3060713 sigma out 1act.( 14.8647633 sig in 12act.) RANK 9 NODE 4 --> 8.96860218 sigma out 1act.( 7.16204071 sig in 12act.) RANK 10 NODE 15 --> 6.31979179 sigma out 1act.( 9.3897047 sig in 12act.) RANK 11 NODE 5 --> 5.76439762 sigma out 1act.( 6.15265894 sig in 12act.) RANK 12 NODE 7 --> 5.42799282 sigma out 1act.( 3.57006741 sig in 12act.) RANK 13 NODE 6 --> 2.88613224 sigma out 1act.( 2.07835078 sig in 12act.) RANK 14 NODE 8 --> 0.841013312 sigma out 1act.( 0.999102831 sig in 12act.) RANK 15 NODE 2 --> 0.200246871 sigma out 1act.( 1.00489819 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 72.7066422 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 27.7993717 sigma out 15 active outputs RANK 2 NODE 2 --> 24.4274273 sigma out 15 active outputs RANK 3 NODE 7 --> 24.014677 sigma out 15 active outputs RANK 4 NODE 10 --> 22.909647 sigma out 15 active outputs RANK 5 NODE 4 --> 21.32267 sigma out 15 active outputs RANK 6 NODE 6 --> 20.5774555 sigma out 15 active outputs RANK 7 NODE 1 --> 20.2119236 sigma out 15 active outputs RANK 8 NODE 11 --> 17.4226341 sigma out 15 active outputs RANK 9 NODE 12 --> 17.2440987 sigma out 15 active outputs RANK 10 NODE 3 --> 17.0730648 sigma out 15 active outputs RANK 11 NODE 9 --> 15.1612186 sigma out 15 active outputs RANK 12 NODE 5 --> 14.7363243 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 35.8795662 sigma in 12act. ( 36.2370262 sig out 1act.) RANK 2 NODE 9 --> 27.3253727 sigma in 12act. ( 26.2828159 sig out 1act.) RANK 3 NODE 12 --> 25.5580769 sigma in 12act. ( 25.6197414 sig out 1act.) RANK 4 NODE 3 --> 25.1526184 sigma in 12act. ( 23.2809467 sig out 1act.) RANK 5 NODE 11 --> 23.1695671 sigma in 12act. ( 22.8818378 sig out 1act.) RANK 6 NODE 14 --> 18.451601 sigma in 12act. ( 18.2219429 sig out 1act.) RANK 7 NODE 13 --> 16.4822235 sigma in 12act. ( 16.7230511 sig out 1act.) RANK 8 NODE 10 --> 11.8170767 sigma in 12act. ( 11.4509401 sig out 1act.) RANK 9 NODE 5 --> 10.3782597 sigma in 12act. ( 5.3603754 sig out 1act.) RANK 10 NODE 4 --> 10.2205935 sigma in 12act. ( 8.80244732 sig out 1act.) RANK 11 NODE 6 --> 9.40639114 sigma in 12act. ( 3.97543836 sig out 1act.) RANK 12 NODE 7 --> 8.55823803 sigma in 12act. ( 6.53820848 sig out 1act.) RANK 13 NODE 15 --> 7.52944803 sigma in 12act. ( 5.03600645 sig out 1act.) RANK 14 NODE 8 --> 6.35460806 sigma in 12act. ( 1.51308537 sig out 1act.) RANK 15 NODE 2 --> 4.19960117 sigma in 12act. ( 0.591492891 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 36.2370262 sigma out 1act.( 35.8795662 sig in 12act.) RANK 2 NODE 9 --> 26.2828159 sigma out 1act.( 27.3253727 sig in 12act.) RANK 3 NODE 12 --> 25.6197414 sigma out 1act.( 25.5580769 sig in 12act.) RANK 4 NODE 3 --> 23.2809467 sigma out 1act.( 25.1526184 sig in 12act.) RANK 5 NODE 11 --> 22.8818378 sigma out 1act.( 23.1695671 sig in 12act.) RANK 6 NODE 14 --> 18.2219429 sigma out 1act.( 18.451601 sig in 12act.) RANK 7 NODE 13 --> 16.7230511 sigma out 1act.( 16.4822235 sig in 12act.) RANK 8 NODE 10 --> 11.4509401 sigma out 1act.( 11.8170767 sig in 12act.) RANK 9 NODE 4 --> 8.80244732 sigma out 1act.( 10.2205935 sig in 12act.) RANK 10 NODE 7 --> 6.53820848 sigma out 1act.( 8.55823803 sig in 12act.) RANK 11 NODE 5 --> 5.3603754 sigma out 1act.( 10.3782597 sig in 12act.) RANK 12 NODE 15 --> 5.03600645 sigma out 1act.( 7.52944803 sig in 12act.) RANK 13 NODE 6 --> 3.97543836 sigma out 1act.( 9.40639114 sig in 12act.) RANK 14 NODE 8 --> 1.51308537 sigma out 1act.( 6.35460806 sig in 12act.) RANK 15 NODE 2 --> 0.591492891 sigma out 1act.( 4.19960117 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 68.2748413 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.428498894 *** contribution from regularisation: 0.00380931329 *** contribution from error: -0.432308197 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.464939743 *** contribution from regularisation: 0.00271845027 *** contribution from error: -0.467658192 *********************************************** -----------------> Test sample ENTER BFGS code START -43950.9064 -0.162317514 0.304204494 EXIT FROM BFGS code FG_START 0. -0.162317514 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.485078514 *** contribution from regularisation: 0.00243551563 *** contribution from error: -0.487514019 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -45844.7708 -0.162317514 -57.7664719 EXIT FROM BFGS code FG_LNSRCH 0. -0.176274031 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.506234407 *** contribution from regularisation: 0.00302626775 *** contribution from error: -0.509260654 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47844.2118 -0.176274031 -48.5508766 EXIT FROM BFGS code NEW_X -47844.2118 -0.176274031 -48.5508766 ENTER BFGS code NEW_X -47844.2118 -0.176274031 -48.5508766 EXIT FROM BFGS code FG_LNSRCH 0. -0.184703872 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.508191764 *** contribution from regularisation: 0.00300351926 *** contribution from error: -0.511195302 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48029.2046 -0.184703872 -27.8588047 EXIT FROM BFGS code NEW_X -48029.2046 -0.184703872 -27.8588047 ENTER BFGS code NEW_X -48029.2046 -0.184703872 -27.8588047 EXIT FROM BFGS code FG_LNSRCH 0. -0.194780245 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.508868635 *** contribution from regularisation: 0.00302735437 *** contribution from error: -0.511896014 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48093.1735 -0.194780245 -7.60613775 EXIT FROM BFGS code NEW_X -48093.1735 -0.194780245 -7.60613775 ENTER BFGS code NEW_X -48093.1735 -0.194780245 -7.60613775 EXIT FROM BFGS code FG_LNSRCH 0. -0.20428963 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.509284496 *** contribution from regularisation: 0.00305958232 *** contribution from error: -0.512344062 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48132.4768 -0.20428963 12.2780132 EXIT FROM BFGS code NEW_X -48132.4768 -0.20428963 12.2780132 ENTER BFGS code NEW_X -48132.4768 -0.20428963 12.2780132 EXIT FROM BFGS code FG_LNSRCH 0. -0.208899304 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.509965658 *** contribution from regularisation: 0.00301146391 *** contribution from error: -0.512977123 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48196.8561 -0.208899304 22.7736816 EXIT FROM BFGS code NEW_X -48196.8561 -0.208899304 22.7736816 ENTER BFGS code NEW_X -48196.8561 -0.208899304 22.7736816 EXIT FROM BFGS code FG_LNSRCH 0. -0.21638608 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.513171196 *** contribution from regularisation: 0.00312351598 *** contribution from error: -0.516294718 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48499.809 -0.21638608 5.16675138 EXIT FROM BFGS code NEW_X -48499.809 -0.21638608 5.16675138 ENTER BFGS code NEW_X -48499.809 -0.21638608 5.16675138 EXIT FROM BFGS code FG_LNSRCH 0. -0.253021449 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 78.2641602 sigma out 15 active outputs RANK 2 NODE 3 --> 45.2474861 sigma out 15 active outputs RANK 3 NODE 2 --> 43.4551582 sigma out 15 active outputs RANK 4 NODE 1 --> 35.5731506 sigma out 15 active outputs RANK 5 NODE 10 --> 34.4175148 sigma out 15 active outputs RANK 6 NODE 5 --> 27.4742413 sigma out 15 active outputs RANK 7 NODE 7 --> 26.6193409 sigma out 15 active outputs RANK 8 NODE 6 --> 24.5275154 sigma out 15 active outputs RANK 9 NODE 12 --> 23.868187 sigma out 15 active outputs RANK 10 NODE 4 --> 23.2300358 sigma out 15 active outputs RANK 11 NODE 11 --> 23.1108322 sigma out 15 active outputs RANK 12 NODE 9 --> 22.528944 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 75.3201447 sigma in 12act. ( 74.4294968 sig out 1act.) RANK 2 NODE 12 --> 65.2302322 sigma in 12act. ( 44.1000786 sig out 1act.) RANK 3 NODE 1 --> 57.2068291 sigma in 12act. ( 55.4295425 sig out 1act.) RANK 4 NODE 9 --> 46.5553513 sigma in 12act. ( 55.6088867 sig out 1act.) RANK 5 NODE 10 --> 24.2473698 sigma in 12act. ( 29.1256866 sig out 1act.) RANK 6 NODE 5 --> 17.1456852 sigma in 12act. ( 16.7302628 sig out 1act.) RANK 7 NODE 6 --> 13.8150625 sigma in 12act. ( 10.2798233 sig out 1act.) RANK 8 NODE 14 --> 10.2178421 sigma in 12act. ( 10.1611938 sig out 1act.) RANK 9 NODE 2 --> 6.79069471 sigma in 12act. ( 6.13936615 sig out 1act.) RANK 10 NODE 8 --> 6.10915947 sigma in 12act. ( 0.836368144 sig out 1act.) RANK 11 NODE 11 --> 5.81357479 sigma in 12act. ( 5.16204691 sig out 1act.) RANK 12 NODE 3 --> 5.67448044 sigma in 12act. ( 0.236036241 sig out 1act.) RANK 13 NODE 4 --> 4.08303642 sigma in 12act. ( 1.85266769 sig out 1act.) RANK 14 NODE 13 --> 3.55948663 sigma in 12act. ( 0.490757734 sig out 1act.) RANK 15 NODE 15 --> 1.70764542 sigma in 12act. ( 0.074992016 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 74.4294968 sigma out 1act.( 75.3201447 sig in 12act.) RANK 2 NODE 9 --> 55.6088867 sigma out 1act.( 46.5553513 sig in 12act.) RANK 3 NODE 1 --> 55.4295425 sigma out 1act.( 57.2068291 sig in 12act.) RANK 4 NODE 12 --> 44.1000786 sigma out 1act.( 65.2302322 sig in 12act.) RANK 5 NODE 10 --> 29.1256866 sigma out 1act.( 24.2473698 sig in 12act.) RANK 6 NODE 5 --> 16.7302628 sigma out 1act.( 17.1456852 sig in 12act.) RANK 7 NODE 6 --> 10.2798233 sigma out 1act.( 13.8150625 sig in 12act.) RANK 8 NODE 14 --> 10.1611938 sigma out 1act.( 10.2178421 sig in 12act.) RANK 9 NODE 2 --> 6.13936615 sigma out 1act.( 6.79069471 sig in 12act.) RANK 10 NODE 11 --> 5.16204691 sigma out 1act.( 5.81357479 sig in 12act.) RANK 11 NODE 4 --> 1.85266769 sigma out 1act.( 4.08303642 sig in 12act.) RANK 12 NODE 8 --> 0.836368144 sigma out 1act.( 6.10915947 sig in 12act.) RANK 13 NODE 13 --> 0.490757734 sigma out 1act.( 3.55948663 sig in 12act.) RANK 14 NODE 3 --> 0.236036241 sigma out 1act.( 5.67448044 sig in 12act.) RANK 15 NODE 15 --> 0.074992016 sigma out 1act.( 1.70764542 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 122.69986 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.511717141 *** contribution from regularisation: 0.00558094122 *** contribution from error: -0.517298102 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -48362.3842 -0.253021449 32.7390022 EXIT FROM BFGS code FG_LNSRCH 0. -0.232751161 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.518142223 *** contribution from regularisation: 0.00167922885 *** contribution from error: -0.519821465 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48969.6229 -0.232751161 2.41436911 EXIT FROM BFGS code NEW_X -48969.6229 -0.232751161 2.41436911 ENTER BFGS code NEW_X -48969.6229 -0.232751161 2.41436911 EXIT FROM BFGS code FG_LNSRCH 0. -0.248532638 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.518017828 *** contribution from regularisation: 0.00428673904 *** contribution from error: -0.522304595 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48957.8635 -0.248532638 40.9090538 EXIT FROM BFGS code FG_LNSRCH 0. -0.238752931 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.519121766 *** contribution from regularisation: 0.00231685373 *** contribution from error: -0.521438599 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49062.1998 -0.238752931 11.6212835 EXIT FROM BFGS code NEW_X -49062.1998 -0.238752931 11.6212835 ENTER BFGS code NEW_X -49062.1998 -0.238752931 11.6212835 EXIT FROM BFGS code FG_LNSRCH 0. -0.2372161 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.520032585 *** contribution from regularisation: 0.00354906381 *** contribution from error: -0.523581624 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49148.2817 -0.2372161 8.62920094 EXIT FROM BFGS code NEW_X -49148.2817 -0.2372161 8.62920094 ENTER BFGS code NEW_X -49148.2817 -0.2372161 8.62920094 EXIT FROM BFGS code FG_LNSRCH 0. -0.231093585 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.521961629 *** contribution from regularisation: 0.00304136937 *** contribution from error: -0.525003016 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49330.5946 -0.231093585 14.4116201 EXIT FROM BFGS code NEW_X -49330.5946 -0.231093585 14.4116201 ENTER BFGS code NEW_X -49330.5946 -0.231093585 14.4116201 EXIT FROM BFGS code FG_LNSRCH 0. -0.199077144 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.522820055 *** contribution from regularisation: 0.00301257311 *** contribution from error: -0.525832653 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49411.7261 -0.199077144 6.34764051 EXIT FROM BFGS code NEW_X -49411.7261 -0.199077144 6.34764051 ENTER BFGS code NEW_X -49411.7261 -0.199077144 6.34764051 EXIT FROM BFGS code FG_LNSRCH 0. -0.197898597 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.523651361 *** contribution from regularisation: 0.00303086638 *** contribution from error: -0.526682198 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49490.2909 -0.197898597 4.98202324 EXIT FROM BFGS code NEW_X -49490.2909 -0.197898597 4.98202324 ENTER BFGS code NEW_X -49490.2909 -0.197898597 4.98202324 EXIT FROM BFGS code FG_LNSRCH 0. -0.19966732 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.523690581 *** contribution from regularisation: 0.00313768629 *** contribution from error: -0.526828289 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49493.9988 -0.19966732 5.13526583 EXIT FROM BFGS code NEW_X -49493.9988 -0.19966732 5.13526583 ENTER BFGS code NEW_X -49493.9988 -0.19966732 5.13526583 EXIT FROM BFGS code FG_LNSRCH 0. -0.196087644 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.52385217 *** contribution from regularisation: 0.00306343101 *** contribution from error: -0.52691561 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49509.2695 -0.196087644 5.86907101 EXIT FROM BFGS code NEW_X -49509.2695 -0.196087644 5.86907101 ENTER BFGS code NEW_X -49509.2695 -0.196087644 5.86907101 EXIT FROM BFGS code FG_LNSRCH 0. -0.178643972 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 61.7443275 sigma out 15 active outputs RANK 2 NODE 3 --> 26.044632 sigma out 15 active outputs RANK 3 NODE 12 --> 24.8948231 sigma out 15 active outputs RANK 4 NODE 2 --> 24.2407646 sigma out 15 active outputs RANK 5 NODE 10 --> 23.9909878 sigma out 15 active outputs RANK 6 NODE 6 --> 21.6571465 sigma out 15 active outputs RANK 7 NODE 1 --> 21.6040726 sigma out 15 active outputs RANK 8 NODE 7 --> 17.948494 sigma out 15 active outputs RANK 9 NODE 4 --> 16.1758041 sigma out 15 active outputs RANK 10 NODE 11 --> 15.3409462 sigma out 15 active outputs RANK 11 NODE 9 --> 11.3781528 sigma out 15 active outputs RANK 12 NODE 5 --> 8.59928131 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 54.6470261 sigma in 12act. ( 66.5840988 sig out 1act.) RANK 2 NODE 9 --> 43.0653877 sigma in 12act. ( 59.0130844 sig out 1act.) RANK 3 NODE 1 --> 33.2474251 sigma in 12act. ( 32.3885765 sig out 1act.) RANK 4 NODE 12 --> 29.2642612 sigma in 12act. ( 22.6485043 sig out 1act.) RANK 5 NODE 10 --> 23.9873905 sigma in 12act. ( 28.9376431 sig out 1act.) RANK 6 NODE 14 --> 16.2674541 sigma in 12act. ( 18.4924564 sig out 1act.) RANK 7 NODE 6 --> 13.3568487 sigma in 12act. ( 10.3907223 sig out 1act.) RANK 8 NODE 5 --> 12.9326372 sigma in 12act. ( 13.2931309 sig out 1act.) RANK 9 NODE 4 --> 9.60563183 sigma in 12act. ( 9.79549217 sig out 1act.) RANK 10 NODE 11 --> 7.15652227 sigma in 12act. ( 6.92516804 sig out 1act.) RANK 11 NODE 8 --> 6.68014622 sigma in 12act. ( 3.83722949 sig out 1act.) RANK 12 NODE 3 --> 5.86438322 sigma in 12act. ( 4.13403749 sig out 1act.) RANK 13 NODE 13 --> 3.46099377 sigma in 12act. ( 1.85867441 sig out 1act.) RANK 14 NODE 2 --> 2.20989728 sigma in 12act. ( 0.276432395 sig out 1act.) RANK 15 NODE 15 --> 2.04666853 sigma in 12act. ( 0.923220813 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 66.5840988 sigma out 1act.( 54.6470261 sig in 12act.) RANK 2 NODE 9 --> 59.0130844 sigma out 1act.( 43.0653877 sig in 12act.) RANK 3 NODE 1 --> 32.3885765 sigma out 1act.( 33.2474251 sig in 12act.) RANK 4 NODE 10 --> 28.9376431 sigma out 1act.( 23.9873905 sig in 12act.) RANK 5 NODE 12 --> 22.6485043 sigma out 1act.( 29.2642612 sig in 12act.) RANK 6 NODE 14 --> 18.4924564 sigma out 1act.( 16.2674541 sig in 12act.) RANK 7 NODE 5 --> 13.2931309 sigma out 1act.( 12.9326372 sig in 12act.) RANK 8 NODE 6 --> 10.3907223 sigma out 1act.( 13.3568487 sig in 12act.) RANK 9 NODE 4 --> 9.79549217 sigma out 1act.( 9.60563183 sig in 12act.) RANK 10 NODE 11 --> 6.92516804 sigma out 1act.( 7.15652227 sig in 12act.) RANK 11 NODE 3 --> 4.13403749 sigma out 1act.( 5.86438322 sig in 12act.) RANK 12 NODE 8 --> 3.83722949 sigma out 1act.( 6.68014622 sig in 12act.) RANK 13 NODE 13 --> 1.85867441 sigma out 1act.( 3.46099377 sig in 12act.) RANK 14 NODE 15 --> 0.923220813 sigma out 1act.( 2.04666853 sig in 12act.) RANK 15 NODE 2 --> 0.276432395 sigma out 1act.( 2.20989728 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 105.461372 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.524151981 *** contribution from regularisation: 0.00290941331 *** contribution from error: -0.527061403 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -49537.6024 -0.178643972 4.96150112 EXIT FROM BFGS code NEW_X -49537.6024 -0.178643972 4.96150112 ENTER BFGS code NEW_X -49537.6024 -0.178643972 4.96150112 EXIT FROM BFGS code FG_LNSRCH 0. -0.1618305 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.524348438 *** contribution from regularisation: 0.0029244367 *** contribution from error: -0.52727288 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49556.1708 -0.1618305 3.98284745 EXIT FROM BFGS code NEW_X -49556.1708 -0.1618305 3.98284745 ENTER BFGS code NEW_X -49556.1708 -0.1618305 3.98284745 EXIT FROM BFGS code FG_LNSRCH 0. -0.121032462 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.523270428 *** contribution from regularisation: 0.00288845855 *** contribution from error: -0.526158869 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49454.2908 -0.121032462 12.1031809 EXIT FROM BFGS code FG_LNSRCH 0. -0.152077749 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.524324894 *** contribution from regularisation: 0.00309760612 *** contribution from error: -0.527422488 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49553.946 -0.152077749 5.5198288 EXIT FROM BFGS code FG_LNSRCH 0. -0.159447759 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.524234176 *** contribution from regularisation: 0.00309319026 *** contribution from error: -0.527327359 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49545.3699 -0.159447759 4.24201298 EXIT FROM BFGS code FG_LNSRCH 0. -0.16166696 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.524209023 *** contribution from regularisation: 0.00306753814 *** contribution from error: -0.527276576 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49542.9927 -0.16166696 3.95802999 EXIT FROM BFGS code FG_LNSRCH 0. -0.161829606 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.524191797 *** contribution from regularisation: 0.00308109913 *** contribution from error: -0.52727288 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49541.3653 -0.161829606 3.89271021 EXIT FROM BFGS code FG_LNSRCH 0. -0.1618305 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.524212718 *** contribution from regularisation: 0.0030601779 *** contribution from error: -0.52727288 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49543.3419 -0.1618305 3.93232608 EXIT FROM BFGS code FG_LNSRCH 0. -0.1618305 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.524183691 *** contribution from regularisation: 0.00308918511 *** contribution from error: -0.52727288 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49540.6004 -0.1618305 3.9363575 EXIT FROM BFGS code FG_LNSRCH 0. -0.1618305 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.524185717 *** contribution from regularisation: 0.00308713666 *** contribution from error: -0.52727288 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49540.794 -0.1618305 3.91281271 EXIT FROM BFGS code FG_LNSRCH 0. -0.1618305 0. --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 62.7904282 sigma out 15 active outputs RANK 2 NODE 3 --> 26.1096191 sigma out 15 active outputs RANK 3 NODE 12 --> 24.2559662 sigma out 15 active outputs RANK 4 NODE 2 --> 23.5098972 sigma out 15 active outputs RANK 5 NODE 10 --> 22.642704 sigma out 15 active outputs RANK 6 NODE 1 --> 22.3340073 sigma out 15 active outputs RANK 7 NODE 6 --> 21.1009769 sigma out 15 active outputs RANK 8 NODE 7 --> 18.4465103 sigma out 15 active outputs RANK 9 NODE 4 --> 17.0084667 sigma out 15 active outputs RANK 10 NODE 11 --> 15.2758875 sigma out 15 active outputs RANK 11 NODE 9 --> 10.9798985 sigma out 15 active outputs RANK 12 NODE 5 --> 8.39540291 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 54.4122276 sigma in 12act. ( 69.2669067 sig out 1act.) RANK 2 NODE 9 --> 44.5957108 sigma in 12act. ( 62.5536842 sig out 1act.) RANK 3 NODE 1 --> 30.9987621 sigma in 12act. ( 31.8423176 sig out 1act.) RANK 4 NODE 12 --> 26.203207 sigma in 12act. ( 22.1329556 sig out 1act.) RANK 5 NODE 10 --> 26.1308537 sigma in 12act. ( 31.943327 sig out 1act.) RANK 6 NODE 14 --> 18.4631958 sigma in 12act. ( 21.2252197 sig out 1act.) RANK 7 NODE 5 --> 13.3980284 sigma in 12act. ( 14.8326244 sig out 1act.) RANK 8 NODE 6 --> 13.078392 sigma in 12act. ( 11.3331203 sig out 1act.) RANK 9 NODE 4 --> 11.5295639 sigma in 12act. ( 11.6781101 sig out 1act.) RANK 10 NODE 11 --> 8.64682102 sigma in 12act. ( 8.68379974 sig out 1act.) RANK 11 NODE 8 --> 6.80144596 sigma in 12act. ( 4.50392532 sig out 1act.) RANK 12 NODE 3 --> 5.32906961 sigma in 12act. ( 3.68131328 sig out 1act.) RANK 13 NODE 13 --> 3.46383214 sigma in 12act. ( 1.64936829 sig out 1act.) RANK 14 NODE 2 --> 2.36650515 sigma in 12act. ( 0.617148578 sig out 1act.) RANK 15 NODE 15 --> 2.21503854 sigma in 12act. ( 0.931366324 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 69.2669067 sigma out 1act.( 54.4122276 sig in 12act.) RANK 2 NODE 9 --> 62.5536842 sigma out 1act.( 44.5957108 sig in 12act.) RANK 3 NODE 10 --> 31.943327 sigma out 1act.( 26.1308537 sig in 12act.) RANK 4 NODE 1 --> 31.8423176 sigma out 1act.( 30.9987621 sig in 12act.) RANK 5 NODE 12 --> 22.1329556 sigma out 1act.( 26.203207 sig in 12act.) RANK 6 NODE 14 --> 21.2252197 sigma out 1act.( 18.4631958 sig in 12act.) RANK 7 NODE 5 --> 14.8326244 sigma out 1act.( 13.3980284 sig in 12act.) RANK 8 NODE 4 --> 11.6781101 sigma out 1act.( 11.5295639 sig in 12act.) RANK 9 NODE 6 --> 11.3331203 sigma out 1act.( 13.078392 sig in 12act.) RANK 10 NODE 11 --> 8.68379974 sigma out 1act.( 8.64682102 sig in 12act.) RANK 11 NODE 8 --> 4.50392532 sigma out 1act.( 6.80144596 sig in 12act.) RANK 12 NODE 3 --> 3.68131328 sigma out 1act.( 5.32906961 sig in 12act.) RANK 13 NODE 13 --> 1.64936829 sigma out 1act.( 3.46383214 sig in 12act.) RANK 14 NODE 15 --> 0.931366324 sigma out 1act.( 2.21503854 sig in 12act.) RANK 15 NODE 2 --> 0.617148578 sigma out 1act.( 2.36650515 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 110.831375 sigma in 15 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.524209142 *** contribution from regularisation: 0.00306373462 *** contribution from error: -0.52727288 *********************************************** -----------------> Test sample Iteration No: 30 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -49543.0057 -0.1618305 3.91726017 EXIT FROM BFGS code NEW_X -49543.0057 -0.1618305 3.91726017 ENTER BFGS code NEW_X -49543.0057 -0.1618305 3.91726017 EXIT FROM BFGS code CONVERGENC -49543.0057 -0.1618305 3.91726017 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 98.8221359 sigma out 15 active outputs RANK 2 NODE 3 --> 39.9438019 sigma out 15 active outputs RANK 3 NODE 12 --> 37.9093323 sigma out 15 active outputs RANK 4 NODE 2 --> 37.4767303 sigma out 15 active outputs RANK 5 NODE 1 --> 34.2151489 sigma out 15 active outputs RANK 6 NODE 10 --> 33.7135773 sigma out 15 active outputs RANK 7 NODE 6 --> 33.4989471 sigma out 15 active outputs RANK 8 NODE 7 --> 28.4599915 sigma out 15 active outputs RANK 9 NODE 4 --> 25.5836296 sigma out 15 active outputs RANK 10 NODE 11 --> 23.629612 sigma out 15 active outputs RANK 11 NODE 9 --> 17.4344959 sigma out 15 active outputs RANK 12 NODE 5 --> 12.7423105 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 85.8559036 sigma in 12act. ( 109.363029 sig out 1act.) RANK 2 NODE 9 --> 69.7278519 sigma in 12act. ( 98.7246246 sig out 1act.) RANK 3 NODE 1 --> 48.2413406 sigma in 12act. ( 51.1035652 sig out 1act.) RANK 4 NODE 10 --> 40.7225838 sigma in 12act. ( 50.5510712 sig out 1act.) RANK 5 NODE 12 --> 40.1729965 sigma in 12act. ( 34.8109016 sig out 1act.) RANK 6 NODE 14 --> 28.808342 sigma in 12act. ( 33.4426003 sig out 1act.) RANK 7 NODE 5 --> 21.000021 sigma in 12act. ( 23.4808693 sig out 1act.) RANK 8 NODE 6 --> 19.5227795 sigma in 12act. ( 17.7420177 sig out 1act.) RANK 9 NODE 4 --> 17.5700741 sigma in 12act. ( 18.61409 sig out 1act.) RANK 10 NODE 11 --> 12.889967 sigma in 12act. ( 13.5682774 sig out 1act.) RANK 11 NODE 8 --> 9.24851418 sigma in 12act. ( 7.28992701 sig out 1act.) RANK 12 NODE 3 --> 6.89831638 sigma in 12act. ( 5.9008379 sig out 1act.) RANK 13 NODE 13 --> 4.05100536 sigma in 12act. ( 2.5322783 sig out 1act.) RANK 14 NODE 2 --> 2.52013588 sigma in 12act. ( 0.996441007 sig out 1act.) RANK 15 NODE 15 --> 2.47916818 sigma in 12act. ( 1.45779872 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 109.363029 sigma out 1act.( 85.8559036 sig in 12act.) RANK 2 NODE 9 --> 98.7246246 sigma out 1act.( 69.7278519 sig in 12act.) RANK 3 NODE 1 --> 51.1035652 sigma out 1act.( 48.2413406 sig in 12act.) RANK 4 NODE 10 --> 50.5510712 sigma out 1act.( 40.7225838 sig in 12act.) RANK 5 NODE 12 --> 34.8109016 sigma out 1act.( 40.1729965 sig in 12act.) RANK 6 NODE 14 --> 33.4426003 sigma out 1act.( 28.808342 sig in 12act.) RANK 7 NODE 5 --> 23.4808693 sigma out 1act.( 21.000021 sig in 12act.) RANK 8 NODE 4 --> 18.61409 sigma out 1act.( 17.5700741 sig in 12act.) RANK 9 NODE 6 --> 17.7420177 sigma out 1act.( 19.5227795 sig in 12act.) RANK 10 NODE 11 --> 13.5682774 sigma out 1act.( 12.889967 sig in 12act.) RANK 11 NODE 8 --> 7.28992701 sigma out 1act.( 9.24851418 sig in 12act.) RANK 12 NODE 3 --> 5.9008379 sigma out 1act.( 6.89831638 sig in 12act.) RANK 13 NODE 13 --> 2.5322783 sigma out 1act.( 4.05100536 sig in 12act.) RANK 14 NODE 15 --> 1.45779872 sigma out 1act.( 2.47916818 sig in 12act.) RANK 15 NODE 2 --> 0.996441007 sigma out 1act.( 2.52013588 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 175.209076 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.524189234 *** contribution from regularisation: 0.00308364537 *** contribution from error: -0.52727288 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 29884 Closing output file done