NNInput NNInputs_200.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= 164455 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 = 22750 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 22750 Chosen entries: 22750 Signal fraction: 1 Background fraction: 0.160545 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 22750 Entries to split: 22750 Test with : 11375 Train with : 11375 ********************************************* * 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= 22750 for Signal Prepared event 0 for Signal with 22750 events ====Entry 0 Variable Ht : 152.764 Variable LepAPt : 33.6093 Variable LepBPt : 15.3084 Variable MetSigLeptonsJets : 8.99012 Variable MetSpec : 77.8251 Variable SumEtLeptonsJets : 74.9391 Variable VSumJetLeptonsPt : 71.9347 Variable addEt : 126.743 Variable dPhiLepSumMet : 2.71571 Variable dPhiLeptons : 0.104355 Variable dRLeptons : 0.619509 Variable lep1_E : 34.354 Variable lep2_E : 20.7615 ===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 = 2200 Ht = 152.764 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 33.6093 LepAPt = 33.6093 LepBEt = 15.3088 LepBPt = 15.3084 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 77.8251 MetDelPhi = 2.68307 MetSig = 6.17532 MetSigLeptonsJets = 8.99012 MetSpec = 77.8251 Mjj = 0 MostCentralJetEta = 0.104936 MtllMet = 131.249 Njets = 1 SB = 0 SumEt = 158.825 SumEtJets = 0 SumEtLeptonsJets = 74.9391 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 71.9347 addEt = 126.743 dPhiLepSumMet = 2.71571 dPhiLeptons = 0.104355 dRLeptons = 0.619509 diltype = 54 dimass = 14.2669 event = 542 jet1_Et = 26.0214 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 34.354 lep2_E = 20.7615 rand = 0.999742 run = 196099 weight = 1.72479e-06 ===Show End Prepared event 10000 for Signal with 22750 events Prepared event 20000 for Signal with 22750 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 = 0.125729 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 4463 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 164455 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 4463 negative weights. Signal fraction: 64.026001 % ------------------------------ 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 62.6191177 65.0395355 67.0291138 68.3193588 69.2536926 70.2730255 71.1608124 71.9572601 72.9170685 73.7758789 74.43396 75.0801926 75.7592392 76.4738617 77.0652161 77.6617584 78.4558563 79.1391907 79.8201218 80.5464478 81.2491989 82.0890045 83.0340271 83.9076996 84.7688675 85.83992 86.7899933 88.052536 89.2377014 90.636467 92.1780243 93.3561859 95.2495499 96.9413757 98.6878662 100.138397 101.789246 103.418274 104.714615 106.306122 108.042648 109.783371 111.530624 113.371552 115.292877 117.054161 118.605186 120.571861 122.120911 123.884598 125.239708 126.84523 128.708298 130.299225 132.115173 133.84671 135.549774 137.261078 138.958984 140.588196 142.151627 143.469879 145.167603 147.045715 148.787964 150.480453 152.407623 154.08728 156.174042 157.902527 159.826965 161.529602 163.526733 165.642502 167.878693 170.256561 172.345398 174.45639 176.911224 179.482697 182.117386 184.628876 187.417328 190.102905 193.295227 196.151825 199.82312 203.741409 207.76619 212.759811 217.90889 222.675842 228.664276 235.224609 244.603378 255.676147 270.051086 291.855103 330.595215 826.190491 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3701477 20.6400871 20.9343185 21.1777229 21.4672203 21.7142105 21.9448452 22.1627846 22.3950233 22.6393013 22.83354 23.053894 23.2596626 23.4424171 23.6296425 23.8370132 24.0738869 24.3276463 24.5583344 24.7898254 24.98703 25.1894245 25.4093056 25.5977859 25.7772827 26.0372772 26.2594223 26.5094299 26.7970219 27.0394459 27.2868233 27.5461178 27.7882957 28.0299416 28.2321014 28.4885559 28.7521305 28.9698486 29.2133446 29.5277424 29.7842255 30.0920486 30.4268036 30.710022 31.0372849 31.356863 31.6648331 32.0065727 32.3251419 32.6537628 32.9986877 33.3767395 33.7609062 34.0983124 34.4596634 34.8507385 35.2852859 35.6920166 36.0915413 36.5356941 36.9792023 37.4933357 37.9291077 38.3887787 38.9527817 39.3770294 39.9386368 40.462883 41.0382843 41.6143761 42.1709595 42.6791077 43.2210121 43.9208984 44.5859833 45.2069283 45.8351135 46.5536423 47.3765106 48.1808395 49.0250092 49.9623032 50.8579254 51.8122559 52.7645378 53.9801102 55.0826378 56.0215836 57.1763687 58.5459518 60.0076675 61.7347603 63.4476357 65.400116 67.4854431 70.3776855 73.3733215 77.5577698 84.6842957 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1276064 10.263895 10.3761206 10.4756842 10.6143084 10.7411404 10.856226 10.9873648 11.120079 11.2533188 11.388566 11.5188093 11.6780415 11.8175297 11.9690399 12.1078234 12.2728519 12.408102 12.5913067 12.7459621 12.8953781 13.0804434 13.2385674 13.4292507 13.5955334 13.7428532 13.9172268 14.0786133 14.2658062 14.4128551 14.6043835 14.831934 15.0314007 15.2330866 15.4138317 15.5983267 15.7911682 15.9986591 16.2231407 16.4379253 16.6184082 16.8056602 17.0254326 17.2429581 17.4323654 17.6890697 17.8874245 18.1084709 18.3063507 18.5222626 18.7277832 18.9597282 19.1318321 19.3370171 19.5675125 19.7896652 20.0142822 20.1827831 20.298336 20.484066 20.6532745 20.841135 21.0547714 21.2508373 21.4375801 21.6344223 21.8248863 22.0226269 22.2623119 22.4975471 22.694067 22.9169922 23.1393452 23.4246483 23.681654 23.9376068 24.2237511 24.4815369 24.7708797 25.0304317 25.3425751 25.6535683 26.0228004 26.4003124 26.778574 27.1249504 27.5164509 27.8767815 28.3579941 28.8267918 29.3666515 29.8978329 30.4550285 31.1404209 32.0219879 33.0783119 34.5164719 36.3075218 39.6616974 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.23662496 2.68271017 3.03755903 3.29240656 3.55745649 3.7596283 3.96988916 4.12210178 4.26738548 4.39640236 4.51355267 4.62179756 4.71513844 4.81793499 4.90693665 4.99417496 5.0615387 5.13721228 5.2030592 5.27397728 5.33771706 5.39341164 5.45179033 5.5044384 5.54187679 5.58783531 5.63917923 5.68334246 5.73869705 5.78915596 5.8380146 5.88284397 5.92069912 5.9733181 6.02368498 6.06833267 6.11384964 6.16248035 6.2089262 6.25900269 6.29522133 6.34297371 6.39864922 6.44242477 6.48931599 6.52955341 6.58010912 6.62754297 6.67802048 6.7284174 6.7720623 6.82102299 6.86356974 6.92073441 6.97558928 7.04098415 7.08945084 7.15365028 7.19841623 7.25155497 7.31401682 7.37626982 7.43392944 7.48843241 7.5486331 7.61911631 7.67564774 7.73240185 7.79430866 7.84773445 7.91326714 7.97929668 8.0452404 8.11123848 8.17293167 8.24016476 8.30563641 8.37166882 8.45277977 8.51342773 8.5884552 8.66431618 8.740345 8.81519318 8.89084339 8.96917725 9.06033516 9.15688038 9.26154327 9.37055969 9.47510815 9.58505535 9.71739388 9.87349892 10.0380669 10.2528152 10.4852657 10.7940006 11.2661686 11.9963417 23.5099583 ------------------------------ Transdef: Tab for variable 6 15.0050735 20.0680027 24.961792 26.0655804 26.9827213 27.9685593 28.8034077 29.5808601 30.4179325 31.0917549 31.6410789 32.2898026 32.8200417 33.3216553 33.909874 34.3831787 34.7392578 35.1243553 35.6292572 36.0134659 36.321888 36.6343384 37.0457993 37.4239082 37.819088 38.178978 38.5855598 38.9796143 39.3542824 39.7624435 40.1962509 40.6434708 41.0962448 41.522934 41.9772148 42.3742828 42.886116 43.2965622 43.7390823 44.1855545 44.8120232 45.4541931 46.028038 46.6564217 47.4438095 48.1027832 48.7523346 49.3727913 50.0588608 50.8229752 51.6166763 52.5596008 53.4100266 54.2585297 55.0221176 55.8949738 56.5914116 57.2039795 58.0291672 58.7711182 59.5998878 60.3687172 61.2425117 62.0435333 62.9213943 63.871727 64.7198181 65.4880524 66.3576355 67.2126465 68.1885376 69.1179276 70.0727997 70.928772 71.8382797 72.6399841 73.6227951 74.5505829 75.4980469 76.3571777 77.3599243 78.3978271 79.5340652 80.7474213 81.9364471 83.1184387 84.4679871 85.9321136 87.3189087 89.045639 90.7308044 92.7888947 94.9090271 97.1509399 99.9321289 103.309662 106.95755 112.49675 121.206589 134.644318 333.883636 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.6428833 33.598259 34.278862 34.971302 35.5180321 35.9458694 36.3364258 36.7554169 37.1248856 37.4882431 37.8614197 38.2246246 38.5706215 38.8555145 39.2023621 39.5183563 39.8358498 40.2224998 40.5354919 40.9192886 41.2755661 41.6867599 41.9932861 42.5134354 43.0227737 43.5311584 44.1807251 44.7556152 45.3485832 46.2120056 47.1051178 48.0271149 49.020916 49.9265251 51.0781937 52.2215843 53.159935 54.2631454 55.3889275 56.4282227 57.4342346 58.4329147 59.4261513 60.441597 61.1165924 62.0608215 62.9387741 63.8780365 64.8548737 65.6650238 66.6532135 67.5460663 68.5614624 69.4307632 70.3009949 71.3810425 72.2681122 73.2419434 74.2827454 75.3532715 76.3846893 77.3748932 78.4686279 79.5142288 80.61483 81.8553314 83.0091705 84.1314392 85.2725525 86.7220535 88.0335693 89.4864807 91.3434296 93.0232544 94.329834 96.1634369 97.9012833 99.5190582 101.383461 103.483566 105.363129 107.585541 109.929756 112.585358 115.265717 117.848587 120.307152 123.237976 126.395828 129.953979 134.428131 138.051666 143.383377 148.954391 155.85614 164.259399 174.756332 193.517334 222.504547 503.735382 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.0605831 28.3101311 30.2973442 31.4846573 32.2048492 32.9584351 33.5292892 33.9310341 34.4670372 34.907238 35.2687378 35.5821991 35.9226036 36.2155609 36.5369415 36.8557434 37.2077026 37.5116463 37.806221 38.0920486 38.4462395 38.7097931 38.95784 39.2676048 39.5569916 39.8498764 40.1478386 40.4421539 40.8357048 41.1726799 41.5032005 41.8740997 42.2700768 42.7847557 43.1917419 43.6852074 44.14608 44.6555328 45.2304001 45.8610115 46.4762039 47.0733032 47.8184586 48.2973404 48.9678955 49.5936241 50.3298607 51.0814819 51.8086777 52.610817 53.2678413 54.0522537 54.78862 55.5582123 56.3542862 57.0724487 57.9000053 58.6298676 59.4420052 60.1638794 60.7710266 61.5547104 62.3930779 63.2714462 64.0206604 64.7736053 65.4148712 66.1892853 66.9056854 67.7940216 68.4888306 69.3148346 70.062973 70.9510498 71.8240128 72.6725006 73.5936966 74.5280457 75.4328308 76.4480743 77.4387512 78.3904419 79.4590988 80.4862747 81.6698761 82.8805923 84.0311279 85.5103455 87.0486145 89.2555771 91.0521851 93.1277466 95.6435242 98.4744263 101.921539 106.251961 111.625198 119.374695 134.572815 366.933655 ------------------------------ Transdef: Tab for variable 9 47.1748543 62.1529007 64.3798904 66.13414 67.4552002 68.6053619 69.3982544 70.264801 70.9986954 71.6835022 72.6223373 73.3653564 74.0128098 74.5877533 75.2436371 75.7788849 76.3919067 77.0185852 77.4773178 78.0749512 78.7106934 79.3037491 79.8746643 80.5317383 81.1573181 81.7649155 82.5361023 83.3713531 84.0676575 84.7821808 85.4798126 86.4052429 86.9840851 87.9845886 88.9524384 89.9337769 91.2183228 92.3595352 93.2815857 94.7570496 96.2531052 97.6340027 99.0158081 100.200699 101.671677 103.159348 104.449478 105.763321 107.048935 108.500275 109.963509 111.337608 112.800835 114.345139 115.689201 116.888504 118.234421 119.542786 121.003387 122.172806 123.367821 124.64946 125.810226 127.155212 128.57341 129.73114 131.105103 132.433563 133.664917 135.059753 136.36438 137.799042 139.068741 140.485291 141.677704 142.876923 144.139862 145.424469 146.978241 148.39119 150.028564 151.549133 153.127731 154.822632 156.599854 158.347122 160.181763 161.966217 163.960907 166.143341 168.483917 170.988281 173.421021 176.587524 179.790436 183.439545 187.866928 192.909424 200.385406 212.625305 428.832397 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.07289886 1.37025464 1.56118202 1.72123957 1.84216857 1.94143105 2.02518916 2.09811687 2.16188335 2.22088957 2.26915836 2.31606531 2.35464382 2.39787865 2.43242884 2.47358227 2.498914 2.52765131 2.55590248 2.58106351 2.60320902 2.62649632 2.64916754 2.67630339 2.69491267 2.71448469 2.73213863 2.75129628 2.76915359 2.78405428 2.7983427 2.81117392 2.8239367 2.83406305 2.84448242 2.85400629 2.86472273 2.87457395 2.88357377 2.89245605 2.90092015 2.91044855 2.91890144 2.92514944 2.93318415 2.94085908 2.94791746 2.95481515 2.96086502 2.96735764 2.9739635 2.97945189 2.98398066 2.98856974 2.99282074 2.9968009 3.00237894 3.00690174 3.0113306 3.01575518 3.02087402 3.0251503 3.02939343 3.03319931 3.03693914 3.04113245 3.04508734 3.04873896 3.05278397 3.05677223 3.06042266 3.06425333 3.06745625 3.0712142 3.07438064 3.07716894 3.08062959 3.08350134 3.08669996 3.08962488 3.09255123 3.09525561 3.09819579 3.10105181 3.1037221 3.1061976 3.10903072 3.11165833 3.11433554 3.11696219 3.11912441 3.12117815 3.12406516 3.12676644 3.12910175 3.13145185 3.13366508 3.13607645 3.13882971 3.14158416 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00584094599 0.0100182286 0.0170083046 0.023226738 0.0294798166 0.0369637012 0.0450978428 0.0530761778 0.0610337257 0.0687128305 0.0753467083 0.0827819109 0.0907558799 0.0983830094 0.10635376 0.113329574 0.120471165 0.127723694 0.133844674 0.141204864 0.147806525 0.15437603 0.161548972 0.168107331 0.174376488 0.180163145 0.186807632 0.192239776 0.197777748 0.203523159 0.208595753 0.213790178 0.219200134 0.224850178 0.230704933 0.236236796 0.242441893 0.247262597 0.252003193 0.256856799 0.261937916 0.267207265 0.27187407 0.277105093 0.281626999 0.286465168 0.291637719 0.297408223 0.302285314 0.307576448 0.313337356 0.318356514 0.323120773 0.32847631 0.333989978 0.339896291 0.345868766 0.351050317 0.356707454 0.361736894 0.367343545 0.373208404 0.378769636 0.384972423 0.390133679 0.396251202 0.402487695 0.408484817 0.415840507 0.421015352 0.426487923 0.433880955 0.439309657 0.446440399 0.45229426 0.459417582 0.465869665 0.473145455 0.480301499 0.490000725 0.500348687 0.508125305 0.517489612 0.526780605 0.53573668 0.547724605 0.558718085 0.5717749 0.581930876 0.594307661 0.609674573 0.625062943 0.640119195 0.659065843 0.68155098 0.712229311 0.743169904 0.785588026 0.838715136 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.20003137 0.212210208 0.222667232 0.23377499 0.243139595 0.252036661 0.258315444 0.265109152 0.272650748 0.279160112 0.284951627 0.292275816 0.298797965 0.305270642 0.310696065 0.317107022 0.322651386 0.327649295 0.332951456 0.338743001 0.344006777 0.348664165 0.3543562 0.358290642 0.36387372 0.368585646 0.37402603 0.379317194 0.38448745 0.388951778 0.39360106 0.398411155 0.402154446 0.406372368 0.410490036 0.414333761 0.418240994 0.421508193 0.425311148 0.42883715 0.432780147 0.436267734 0.439576507 0.443266034 0.446391523 0.450004518 0.454500586 0.458383411 0.462836295 0.46727857 0.471165597 0.475147694 0.479642302 0.483578205 0.487758756 0.492413938 0.49685064 0.500602722 0.505524218 0.509548306 0.513861775 0.518136382 0.523369372 0.527510285 0.532856524 0.537680805 0.542773247 0.549015522 0.554420948 0.559692144 0.565656781 0.571901441 0.5773049 0.582322001 0.588380337 0.595885992 0.60276264 0.609764814 0.616024137 0.622976065 0.630035043 0.637262583 0.645969391 0.652512133 0.661057472 0.66886425 0.678417563 0.6881181 0.699009895 0.710409045 0.721342325 0.735628605 0.749622524 0.763457954 0.779186368 0.795121551 0.815061867 0.836763859 0.870737195 0.904917002 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.5259666 22.3350296 22.9941673 23.5693359 24.1088791 24.7376938 25.2215195 25.674736 26.0784111 26.564127 26.9747543 27.4015236 27.8392067 28.2560616 28.6046295 28.9853649 29.3760414 29.7081299 30.0691605 30.4451847 30.7681961 31.0973072 31.5033913 31.8002281 32.2068787 32.5394516 32.9464417 33.3672256 33.7642365 34.1861267 34.5387802 34.9298935 35.3272858 35.7290421 36.0968018 36.5030708 36.9719238 37.3953247 37.8684845 38.2581558 38.7634201 39.2822647 39.7484283 40.2337952 40.7572174 41.2387238 41.787674 42.3585129 42.8592148 43.2230225 43.7136154 44.2659569 44.7943192 45.3220444 45.9209785 46.4652481 46.9111443 47.6207848 48.1535568 48.7707748 49.3658524 49.9652634 50.639679 51.2892456 51.9810295 52.6442223 53.3307648 53.9878235 54.7088013 55.3233032 56.0356369 56.7703133 57.480938 58.2904778 59.028286 59.7498856 60.5870667 61.4148598 62.3034248 63.168354 64.2288437 65.3999176 66.4925995 67.5639496 68.9316254 69.9322815 71.4171219 72.9114609 74.2532883 75.7758789 77.6255798 79.4633408 81.4287262 83.8394012 86.8537598 89.809166 94.2634735 100.436058 109.865585 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.679327 11.1405201 11.4855518 11.8287239 12.2342539 12.595583 12.9133911 13.2333851 13.5576916 13.8422575 14.0982819 14.390276 14.7009869 15.0280132 15.2990303 15.5859146 15.840826 16.1523399 16.4384708 16.6987877 16.9427757 17.1903381 17.4541721 17.7188606 17.9565964 18.2407188 18.5139465 18.7585793 19.0136261 19.2149315 19.4849434 19.7727776 19.9980431 20.2476807 20.5202503 20.7427921 20.9962769 21.219532 21.4293098 21.6719131 21.9015579 22.1190376 22.3522797 22.5759468 22.8585739 23.0593758 23.2494774 23.4634018 23.7160625 23.9370728 24.2026215 24.4845562 24.7179585 24.9532509 25.187727 25.419117 25.6437645 25.8515778 26.0714531 26.3227501 26.5946159 26.8364563 27.0971336 27.3714905 27.6246014 27.8843708 28.1726112 28.428051 28.7615185 29.0279732 29.3448257 29.6274261 29.9477768 30.3432922 30.711359 31.0503006 31.4129333 31.7632523 32.2141342 32.6680641 33.1357346 33.6333237 34.1681213 34.7424698 35.279129 35.8920822 36.5396194 37.2210236 38.0019073 38.9805374 39.8655777 40.8677444 41.8907471 43.16605 44.4352493 46.9119492 49.6030617 52.9791451 59.9017792 112.712608 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 66.8 52.1 49.7 32.5 50.9 64.0 55.7 65.0 -26.8 -17.0 -40.3 21.1 16.0 2 66.8 100.0 69.5 54.1 41.6 72.3 94.6 77.3 92.1 -42.2 -23.9 -51.4 39.5 22.6 3 52.1 69.5 100.0 39.3 22.7 45.1 70.4 61.3 77.6 -10.9 -26.9 -58.6 70.3 14.5 4 49.7 54.1 39.3 100.0 11.2 31.0 57.0 44.3 55.8 -13.8 -28.6 -58.8 18.4 67.2 5 32.5 41.6 22.7 11.2 100.0 85.5 14.1 62.4 62.5 23.3 -7.1 -13.8 7.8 -3.5 6 50.9 72.3 45.1 31.0 85.5 100.0 51.6 81.6 82.7 -5.7 -15.2 -31.3 22.4 7.8 7 64.0 94.6 70.4 57.0 14.1 51.6 100.0 68.0 80.6 -51.7 -23.8 -52.4 41.9 27.1 8 55.7 77.3 61.3 44.3 62.4 81.6 68.0 100.0 85.4 -8.3 -23.2 -44.9 35.6 18.2 9 65.0 92.1 77.6 55.8 62.5 82.7 80.6 85.4 100.0 -16.8 -26.6 -56.4 47.0 24.0 10 -26.8 -42.2 -10.9 -13.8 23.3 -5.7 -51.7 -8.3 -16.8 100.0 2.9 8.6 -2.4 -4.4 11 -17.0 -23.9 -26.9 -28.6 -7.1 -15.2 -23.8 -23.2 -26.6 2.9 100.0 53.8 -13.6 -16.0 12 -40.3 -51.4 -58.6 -58.8 -13.8 -31.3 -52.4 -44.9 -56.4 8.6 53.8 100.0 -34.5 -30.3 13 21.1 39.5 70.3 18.4 7.8 22.4 41.9 35.6 47.0 -2.4 -13.6 -34.5 100.0 40.3 14 16.0 22.6 14.5 67.2 -3.5 7.8 27.1 18.2 24.0 -4.4 -16.0 -30.3 40.3 100.0 TOTAL CORRELATION TO TARGET (diagonal) 167.496419 TOTAL CORRELATION OF ALL VARIABLES 72.3464425 ROUND 1: MAX CORR ( 72.346437) AFTER KILLING INPUT VARIABLE 8 CONTR 0.0283148874 ROUND 2: MAX CORR ( 72.3369709) AFTER KILLING INPUT VARIABLE 6 CONTR 1.17029597 ROUND 3: MAX CORR ( 72.3215057) AFTER KILLING INPUT VARIABLE 2 CONTR 1.49571478 ROUND 4: MAX CORR ( 72.2996432) AFTER KILLING INPUT VARIABLE 11 CONTR 1.77814263 ROUND 5: MAX CORR ( 72.2357387) AFTER KILLING INPUT VARIABLE 12 CONTR 3.0391547 ROUND 6: MAX CORR ( 72.1006567) AFTER KILLING INPUT VARIABLE 13 CONTR 4.41556812 ROUND 7: MAX CORR ( 71.7485856) AFTER KILLING INPUT VARIABLE 10 CONTR 7.11654181 ROUND 8: MAX CORR ( 71.2449068) AFTER KILLING INPUT VARIABLE 9 CONTR 8.48662415 ROUND 9: MAX CORR ( 71.0392608) AFTER KILLING INPUT VARIABLE 3 CONTR 5.40926661 ROUND 10: MAX CORR ( 69.897999) AFTER KILLING INPUT VARIABLE 14 CONTR 12.6825197 ROUND 11: MAX CORR ( 68.2345856) AFTER KILLING INPUT VARIABLE 4 CONTR 15.1582188 ROUND 12: MAX CORR ( 63.9921111) AFTER KILLING INPUT VARIABLE 5 CONTR 23.6847714 LAST REMAINING VARIABLE: 7 total correlation to target: 72.3464425 % total significance: 96.6507268 sigma correlations of single variables to target: variable 2: 66.811347 % , in sigma: 89.2561544 variable 3: 52.0924246 % , in sigma: 69.5925124 variable 4: 49.6722108 % , in sigma: 66.3592446 variable 5: 32.5005974 % , in sigma: 43.418947 variable 6: 50.9494119 % , in sigma: 68.0655125 variable 7: 63.9921111 % , in sigma: 85.4898157 variable 8: 55.7425921 % , in sigma: 74.4689282 variable 9: 64.9548948 % , in sigma: 86.7760399 variable 10: -26.8498818 % , in sigma: 35.8699129 variable 11: -17.042997 % , in sigma: 22.7684733 variable 12: -40.2843852 % , in sigma: 53.8176442 variable 13: 21.1214581 % , in sigma: 28.2170651 variable 14: 16.0162682 % , in sigma: 21.3968221 variables sorted by significance: 1 most relevant variable 7 corr 63.9921112 , in sigma: 85.4898159 2 most relevant variable 5 corr 23.6847706 , in sigma: 31.6415045 3 most relevant variable 4 corr 15.1582184 , in sigma: 20.2505164 4 most relevant variable 14 corr 12.6825199 , in sigma: 16.9431243 5 most relevant variable 3 corr 5.40926647 , in sigma: 7.22647192 6 most relevant variable 9 corr 8.48662376 , in sigma: 11.337646 7 most relevant variable 10 corr 7.11654186 , in sigma: 9.50729461 8 most relevant variable 13 corr 4.41556835 , in sigma: 5.89894783 9 most relevant variable 12 corr 3.03915477 , in sigma: 4.06013768 10 most relevant variable 11 corr 1.77814257 , in sigma: 2.3754972 11 most relevant variable 2 corr 1.49571478 , in sigma: 1.99818976 12 most relevant variable 6 corr 1.17029595 , in sigma: 1.56344874 13 most relevant variable 8 corr 0.0283148866 , in sigma: 0.0378270758 global correlations between input variables: variable 2: 99.3265354 % variable 3: 94.4704387 % variable 4: 90.372449 % variable 5: 96.112824 % variable 6: 95.3751145 % variable 7: 98.9732095 % variable 8: 90.7738073 % variable 9: 98.9864374 % variable 10: 73.1416294 % variable 11: 54.8575438 % variable 12: 77.7638014 % variable 13: 87.3469461 % variable 14: 86.3161731 % significance loss when removing single variables: variable 2: corr = 1.47716007 % , sigma = 1.97340172 variable 3: corr = 11.7396482 % , sigma = 15.6835013 variable 4: corr = 15.4007087 % , sigma = 20.5744697 variable 5: corr = 12.27623 % , sigma = 16.400344 variable 6: corr = 1.10006367 % , sigma = 1.46962241 variable 7: corr = 6.2130421 % , sigma = 8.30027038 variable 8: corr = 0.0283148874 % , sigma = 0.0378270769 variable 9: corr = 6.66846526 % , sigma = 8.90868979 variable 10: corr = 6.53050089 % , sigma = 8.72437724 variable 11: corr = 1.80281873 % , sigma = 2.40846314 variable 12: corr = 1.91409801 % , sigma = 2.55712592 variable 13: corr = 4.51644131 % , sigma = 6.03370836 variable 14: corr = 5.21218662 % , sigma = 6.96318447 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 17.4855366 sigma out 15 active outputs RANK 2 NODE 5 --> 16.1514244 sigma out 15 active outputs RANK 3 NODE 6 --> 13.3136635 sigma out 15 active outputs RANK 4 NODE 3 --> 12.1126556 sigma out 15 active outputs RANK 5 NODE 1 --> 12.0500612 sigma out 15 active outputs RANK 6 NODE 7 --> 10.8387699 sigma out 15 active outputs RANK 7 NODE 9 --> 10.5737209 sigma out 15 active outputs RANK 8 NODE 10 --> 10.1036205 sigma out 15 active outputs RANK 9 NODE 2 --> 9.87293053 sigma out 15 active outputs RANK 10 NODE 4 --> 9.17855167 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 18.5065861 sigma in 10act. ( 19.0755959 sig out 1act.) RANK 2 NODE 12 --> 16.0662441 sigma in 10act. ( 17.3257179 sig out 1act.) RANK 3 NODE 3 --> 13.2796488 sigma in 10act. ( 13.2159519 sig out 1act.) RANK 4 NODE 15 --> 13.272543 sigma in 10act. ( 13.6748734 sig out 1act.) RANK 5 NODE 6 --> 13.1408529 sigma in 10act. ( 13.7007551 sig out 1act.) RANK 6 NODE 11 --> 11.1350317 sigma in 10act. ( 11.3819895 sig out 1act.) RANK 7 NODE 1 --> 8.70553017 sigma in 10act. ( 8.1713953 sig out 1act.) RANK 8 NODE 8 --> 8.20007133 sigma in 10act. ( 6.99481106 sig out 1act.) RANK 9 NODE 7 --> 7.29250431 sigma in 10act. ( 8.77263737 sig out 1act.) RANK 10 NODE 13 --> 6.75286579 sigma in 10act. ( 7.2517705 sig out 1act.) RANK 11 NODE 4 --> 4.79478264 sigma in 10act. ( 4.49076986 sig out 1act.) RANK 12 NODE 9 --> 4.13350201 sigma in 10act. ( 1.77879572 sig out 1act.) RANK 13 NODE 5 --> 2.79659462 sigma in 10act. ( 2.68306828 sig out 1act.) RANK 14 NODE 14 --> 2.19556522 sigma in 10act. ( 2.24147463 sig out 1act.) RANK 15 NODE 10 --> 2.13258958 sigma in 10act. ( 1.05670202 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 19.0755959 sigma out 1act.( 18.5065861 sig in 10act.) RANK 2 NODE 12 --> 17.3257179 sigma out 1act.( 16.0662441 sig in 10act.) RANK 3 NODE 6 --> 13.7007551 sigma out 1act.( 13.1408529 sig in 10act.) RANK 4 NODE 15 --> 13.6748734 sigma out 1act.( 13.272543 sig in 10act.) RANK 5 NODE 3 --> 13.2159519 sigma out 1act.( 13.2796488 sig in 10act.) RANK 6 NODE 11 --> 11.3819895 sigma out 1act.( 11.1350317 sig in 10act.) RANK 7 NODE 7 --> 8.77263737 sigma out 1act.( 7.29250431 sig in 10act.) RANK 8 NODE 1 --> 8.1713953 sigma out 1act.( 8.70553017 sig in 10act.) RANK 9 NODE 13 --> 7.2517705 sigma out 1act.( 6.75286579 sig in 10act.) RANK 10 NODE 8 --> 6.99481106 sigma out 1act.( 8.20007133 sig in 10act.) RANK 11 NODE 4 --> 4.49076986 sigma out 1act.( 4.79478264 sig in 10act.) RANK 12 NODE 5 --> 2.68306828 sigma out 1act.( 2.79659462 sig in 10act.) RANK 13 NODE 14 --> 2.24147463 sigma out 1act.( 2.19556522 sig in 10act.) RANK 14 NODE 9 --> 1.77879572 sigma out 1act.( 4.13350201 sig in 10act.) RANK 15 NODE 10 --> 1.05670202 sigma out 1act.( 2.13258958 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 40.3100471 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 20.2288609 sigma out 15 active outputs RANK 2 NODE 8 --> 17.8510551 sigma out 15 active outputs RANK 3 NODE 5 --> 16.1029491 sigma out 15 active outputs RANK 4 NODE 9 --> 13.5144873 sigma out 15 active outputs RANK 5 NODE 1 --> 13.4879656 sigma out 15 active outputs RANK 6 NODE 6 --> 13.4622374 sigma out 15 active outputs RANK 7 NODE 3 --> 12.4943523 sigma out 15 active outputs RANK 8 NODE 7 --> 11.6989288 sigma out 15 active outputs RANK 9 NODE 10 --> 10.5193615 sigma out 15 active outputs RANK 10 NODE 4 --> 9.41743469 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 17.9827976 sigma in 10act. ( 17.1393986 sig out 1act.) RANK 2 NODE 12 --> 15.5831289 sigma in 10act. ( 15.5286818 sig out 1act.) RANK 3 NODE 3 --> 15.4793568 sigma in 10act. ( 13.64884 sig out 1act.) RANK 4 NODE 7 --> 12.0687704 sigma in 10act. ( 10.8865891 sig out 1act.) RANK 5 NODE 6 --> 12.0614891 sigma in 10act. ( 12.5967484 sig out 1act.) RANK 6 NODE 15 --> 11.9059 sigma in 10act. ( 12.092804 sig out 1act.) RANK 7 NODE 13 --> 11.5682344 sigma in 10act. ( 8.31217384 sig out 1act.) RANK 8 NODE 11 --> 11.3719997 sigma in 10act. ( 10.6739302 sig out 1act.) RANK 9 NODE 10 --> 11.1967335 sigma in 10act. ( 3.37336564 sig out 1act.) RANK 10 NODE 1 --> 9.82746124 sigma in 10act. ( 7.51822996 sig out 1act.) RANK 11 NODE 14 --> 8.26012039 sigma in 10act. ( 3.67692113 sig out 1act.) RANK 12 NODE 8 --> 8.00168324 sigma in 10act. ( 5.41169357 sig out 1act.) RANK 13 NODE 5 --> 7.86030722 sigma in 10act. ( 3.69397807 sig out 1act.) RANK 14 NODE 4 --> 7.46762276 sigma in 10act. ( 4.98539352 sig out 1act.) RANK 15 NODE 9 --> 7.18888283 sigma in 10act. ( 0.866050839 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 17.1393986 sigma out 1act.( 17.9827976 sig in 10act.) RANK 2 NODE 12 --> 15.5286818 sigma out 1act.( 15.5831289 sig in 10act.) RANK 3 NODE 3 --> 13.64884 sigma out 1act.( 15.4793568 sig in 10act.) RANK 4 NODE 6 --> 12.5967484 sigma out 1act.( 12.0614891 sig in 10act.) RANK 5 NODE 15 --> 12.092804 sigma out 1act.( 11.9059 sig in 10act.) RANK 6 NODE 7 --> 10.8865891 sigma out 1act.( 12.0687704 sig in 10act.) RANK 7 NODE 11 --> 10.6739302 sigma out 1act.( 11.3719997 sig in 10act.) RANK 8 NODE 13 --> 8.31217384 sigma out 1act.( 11.5682344 sig in 10act.) RANK 9 NODE 1 --> 7.51822996 sigma out 1act.( 9.82746124 sig in 10act.) RANK 10 NODE 8 --> 5.41169357 sigma out 1act.( 8.00168324 sig in 10act.) RANK 11 NODE 4 --> 4.98539352 sigma out 1act.( 7.46762276 sig in 10act.) RANK 12 NODE 5 --> 3.69397807 sigma out 1act.( 7.86030722 sig in 10act.) RANK 13 NODE 14 --> 3.67692113 sigma out 1act.( 8.26012039 sig in 10act.) RANK 14 NODE 10 --> 3.37336564 sigma out 1act.( 11.1967335 sig in 10act.) RANK 15 NODE 9 --> 0.866050839 sigma out 1act.( 7.18888283 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 38.43964 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.552026272 *** contribution from regularisation: 0.00451841997 *** contribution from error: -0.556544721 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.592653811 *** contribution from regularisation: 0.00236626226 *** contribution from error: -0.595020056 *********************************************** -----------------> Test sample ENTER BFGS code START -48740.3661 -0.0282937102 -0.00577819487 EXIT FROM BFGS code FG_START 0. -0.0282937102 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.614357173 *** contribution from regularisation: 0.00186107645 *** contribution from error: -0.616218269 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -50516.7494 -0.0282937102 53.023941 EXIT FROM BFGS code FG_LNSRCH 0. 0.0400787406 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.619800746 *** contribution from regularisation: 0.00256892364 *** contribution from error: -0.622369647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50964.3545 0.0400787406 -7.50745344 EXIT FROM BFGS code NEW_X -50964.3545 0.0400787406 -7.50745344 ENTER BFGS code NEW_X -50964.3545 0.0400787406 -7.50745344 EXIT FROM BFGS code FG_LNSRCH 0. 0.0325607434 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.621475935 *** contribution from regularisation: 0.00246700412 *** contribution from error: -0.623942912 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51102.0996 0.0325607434 -3.41682196 EXIT FROM BFGS code NEW_X -51102.0996 0.0325607434 -3.41682196 ENTER BFGS code NEW_X -51102.0996 0.0325607434 -3.41682196 EXIT FROM BFGS code FG_LNSRCH 0. 0.0280887596 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.62170732 *** contribution from regularisation: 0.00242581335 *** contribution from error: -0.62413311 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51121.1271 0.0280887596 5.11899471 EXIT FROM BFGS code NEW_X -51121.1271 0.0280887596 5.11899471 ENTER BFGS code NEW_X -51121.1271 0.0280887596 5.11899471 EXIT FROM BFGS code FG_LNSRCH 0. 0.0346616507 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.62169081 *** contribution from regularisation: 0.00243566488 *** contribution from error: -0.624126494 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51119.7695 0.0346616507 6.33676481 EXIT FROM BFGS code FG_LNSRCH 0. 0.0295022707 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.621560574 *** contribution from regularisation: 0.00258245203 *** contribution from error: -0.624143004 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51109.0636 0.0295022707 5.43117666 EXIT FROM BFGS code FG_LNSRCH 0. 0.0281317998 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.621663094 *** contribution from regularisation: 0.00247043371 *** contribution from error: -0.624133527 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51117.4913 0.0281317998 5.24343443 EXIT FROM BFGS code FG_LNSRCH 0. 0.0280889124 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 20.8235016 sigma out 15 active outputs RANK 2 NODE 1 --> 12.265337 sigma out 15 active outputs RANK 3 NODE 8 --> 10.2436609 sigma out 15 active outputs RANK 4 NODE 9 --> 10.1148367 sigma out 15 active outputs RANK 5 NODE 3 --> 7.59472942 sigma out 15 active outputs RANK 6 NODE 5 --> 7.13718605 sigma out 15 active outputs RANK 7 NODE 6 --> 6.89717722 sigma out 15 active outputs RANK 8 NODE 7 --> 6.47813511 sigma out 15 active outputs RANK 9 NODE 10 --> 5.36934519 sigma out 15 active outputs RANK 10 NODE 4 --> 5.22347164 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 12.983222 sigma in 10act. ( 7.91868782 sig out 1act.) RANK 2 NODE 7 --> 11.1682701 sigma in 10act. ( 8.6621027 sig out 1act.) RANK 3 NODE 13 --> 10.4345016 sigma in 10act. ( 7.08282137 sig out 1act.) RANK 4 NODE 3 --> 10.2197599 sigma in 10act. ( 8.11687279 sig out 1act.) RANK 5 NODE 2 --> 9.32224941 sigma in 10act. ( 7.25850344 sig out 1act.) RANK 6 NODE 14 --> 8.87142944 sigma in 10act. ( 6.20350122 sig out 1act.) RANK 7 NODE 12 --> 8.30698586 sigma in 10act. ( 6.83914995 sig out 1act.) RANK 8 NODE 5 --> 7.60863733 sigma in 10act. ( 5.67413235 sig out 1act.) RANK 9 NODE 6 --> 7.4356308 sigma in 10act. ( 6.22040558 sig out 1act.) RANK 10 NODE 4 --> 7.23914337 sigma in 10act. ( 5.10463285 sig out 1act.) RANK 11 NODE 1 --> 6.42671967 sigma in 10act. ( 4.43737221 sig out 1act.) RANK 12 NODE 11 --> 5.54493666 sigma in 10act. ( 4.34801912 sig out 1act.) RANK 13 NODE 15 --> 5.53709173 sigma in 10act. ( 4.84531069 sig out 1act.) RANK 14 NODE 9 --> 4.46813154 sigma in 10act. ( 0.41914922 sig out 1act.) RANK 15 NODE 8 --> 4.01040936 sigma in 10act. ( 1.81528556 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 8.6621027 sigma out 1act.( 11.1682701 sig in 10act.) RANK 2 NODE 3 --> 8.11687279 sigma out 1act.( 10.2197599 sig in 10act.) RANK 3 NODE 10 --> 7.91868782 sigma out 1act.( 12.983222 sig in 10act.) RANK 4 NODE 2 --> 7.25850344 sigma out 1act.( 9.32224941 sig in 10act.) RANK 5 NODE 13 --> 7.08282137 sigma out 1act.( 10.4345016 sig in 10act.) RANK 6 NODE 12 --> 6.83914995 sigma out 1act.( 8.30698586 sig in 10act.) RANK 7 NODE 6 --> 6.22040558 sigma out 1act.( 7.4356308 sig in 10act.) RANK 8 NODE 14 --> 6.20350122 sigma out 1act.( 8.87142944 sig in 10act.) RANK 9 NODE 5 --> 5.67413235 sigma out 1act.( 7.60863733 sig in 10act.) RANK 10 NODE 4 --> 5.10463285 sigma out 1act.( 7.23914337 sig in 10act.) RANK 11 NODE 15 --> 4.84531069 sigma out 1act.( 5.53709173 sig in 10act.) RANK 12 NODE 1 --> 4.43737221 sigma out 1act.( 6.42671967 sig in 10act.) RANK 13 NODE 11 --> 4.34801912 sigma out 1act.( 5.54493666 sig in 10act.) RANK 14 NODE 8 --> 1.81528556 sigma out 1act.( 4.01040936 sig in 10act.) RANK 15 NODE 9 --> 0.41914922 sigma out 1act.( 4.46813154 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.5418968 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.621603489 *** contribution from regularisation: 0.0025296337 *** contribution from error: -0.62413311 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51112.5902 0.0280889124 5.26566935 EXIT FROM BFGS code FG_LNSRCH 0. 0.0280887596 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.621620893 *** contribution from regularisation: 0.00251225824 *** contribution from error: -0.62413317 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51114.019 0.0280887596 5.2918539 EXIT FROM BFGS code FG_LNSRCH 0. 0.0280887596 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.62164849 *** contribution from regularisation: 0.00248465524 *** contribution from error: -0.62413317 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51116.2887 0.0280887596 5.30945587 EXIT FROM BFGS code FG_LNSRCH 0. 0.0280887596 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.621624827 *** contribution from regularisation: 0.00250828802 *** contribution from error: -0.62413311 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51114.3454 0.0280887596 5.3272481 EXIT FROM BFGS code NEW_X -51114.3454 0.0280887596 5.3272481 ENTER BFGS code NEW_X -51114.3454 0.0280887596 5.3272481 EXIT FROM BFGS code CONVERGENC -51114.3454 0.0280887596 5.3272481 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 36.9167252 sigma out 15 active outputs RANK 2 NODE 1 --> 23.4222984 sigma out 15 active outputs RANK 3 NODE 8 --> 18.9481716 sigma out 15 active outputs RANK 4 NODE 9 --> 18.2888565 sigma out 15 active outputs RANK 5 NODE 3 --> 14.0671711 sigma out 15 active outputs RANK 6 NODE 5 --> 13.1406851 sigma out 15 active outputs RANK 7 NODE 6 --> 12.1522713 sigma out 15 active outputs RANK 8 NODE 7 --> 12.1396942 sigma out 15 active outputs RANK 9 NODE 10 --> 9.45409489 sigma out 15 active outputs RANK 10 NODE 4 --> 8.99078941 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 23.7016087 sigma in 10act. ( 16.5136147 sig out 1act.) RANK 2 NODE 7 --> 21.2824726 sigma in 10act. ( 17.8583736 sig out 1act.) RANK 3 NODE 13 --> 19.5782356 sigma in 10act. ( 14.1417637 sig out 1act.) RANK 4 NODE 3 --> 18.9292793 sigma in 10act. ( 16.6491127 sig out 1act.) RANK 5 NODE 2 --> 17.5208302 sigma in 10act. ( 15.078886 sig out 1act.) RANK 6 NODE 14 --> 15.5448103 sigma in 10act. ( 12.6176052 sig out 1act.) RANK 7 NODE 12 --> 15.5433035 sigma in 10act. ( 14.0780106 sig out 1act.) RANK 8 NODE 6 --> 14.6396465 sigma in 10act. ( 12.1394014 sig out 1act.) RANK 9 NODE 5 --> 12.9143133 sigma in 10act. ( 11.5141592 sig out 1act.) RANK 10 NODE 4 --> 12.8676634 sigma in 10act. ( 10.6380119 sig out 1act.) RANK 11 NODE 1 --> 10.9573975 sigma in 10act. ( 9.04927826 sig out 1act.) RANK 12 NODE 15 --> 10.3158569 sigma in 10act. ( 9.68353081 sig out 1act.) RANK 13 NODE 11 --> 8.68291855 sigma in 10act. ( 8.96428585 sig out 1act.) RANK 14 NODE 8 --> 5.06383419 sigma in 10act. ( 3.64739561 sig out 1act.) RANK 15 NODE 9 --> 4.47762394 sigma in 10act. ( 0.87105161 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 17.8583736 sigma out 1act.( 21.2824726 sig in 10act.) RANK 2 NODE 3 --> 16.6491127 sigma out 1act.( 18.9292793 sig in 10act.) RANK 3 NODE 10 --> 16.5136147 sigma out 1act.( 23.7016087 sig in 10act.) RANK 4 NODE 2 --> 15.078886 sigma out 1act.( 17.5208302 sig in 10act.) RANK 5 NODE 13 --> 14.1417637 sigma out 1act.( 19.5782356 sig in 10act.) RANK 6 NODE 12 --> 14.0780106 sigma out 1act.( 15.5433035 sig in 10act.) RANK 7 NODE 14 --> 12.6176052 sigma out 1act.( 15.5448103 sig in 10act.) RANK 8 NODE 6 --> 12.1394014 sigma out 1act.( 14.6396465 sig in 10act.) RANK 9 NODE 5 --> 11.5141592 sigma out 1act.( 12.9143133 sig in 10act.) RANK 10 NODE 4 --> 10.6380119 sigma out 1act.( 12.8676634 sig in 10act.) RANK 11 NODE 15 --> 9.68353081 sigma out 1act.( 10.3158569 sig in 10act.) RANK 12 NODE 1 --> 9.04927826 sigma out 1act.( 10.9573975 sig in 10act.) RANK 13 NODE 11 --> 8.96428585 sigma out 1act.( 8.68291855 sig in 10act.) RANK 14 NODE 8 --> 3.64739561 sigma out 1act.( 5.06383419 sig in 10act.) RANK 15 NODE 9 --> 0.87105161 sigma out 1act.( 4.47762394 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 48.1327286 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.621649325 *** contribution from regularisation: 0.00248378608 *** contribution from error: -0.62413311 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done