NNInput NNInputs_125.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 46189 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 = 9986 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 9986 Chosen entries: 9986 Signal fraction: 1 Background fraction: 0.275833 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 9986 Entries to split: 9986 Test with : 4993 Train with : 4993 ********************************************* * 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= 9986 for Signal Prepared event 0 for Signal with 9986 events ====Entry 0 Variable Ht : 168.084 Variable LepAPt : 44.9491 Variable LepBPt : 12.5135 Variable MetSigLeptonsJets : 3.68841 Variable MetSpec : 41.4985 Variable SumEtLeptonsJets : 126.586 Variable VSumJetLeptonsPt : 39.8605 Variable addEt : 98.9611 Variable dPhiLepSumMet : 1.92378 Variable dPhiLeptons : 0.397784 Variable dRLeptons : 0.631952 Variable lep1_E : 45.0948 Variable lep2_E : 14.6136 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2125 Ht = 168.084 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 44.9491 LepAPt = 44.9491 LepBEt = 12.5135 LepBPt = 12.5135 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 41.4985 MetDelPhi = 1.8376 MetSig = 3.1876 MetSigLeptonsJets = 3.68841 MetSpec = 41.4985 Mjj = 0 MostCentralJetEta = 0.233381 MtllMet = 100.589 Njets = 1 SB = 0 SumEt = 169.487 SumEtJets = 0 SumEtLeptonsJets = 126.586 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 39.8605 addEt = 98.9611 dPhiLepSumMet = 1.92378 dPhiLeptons = 0.397784 dRLeptons = 0.631952 diltype = 45 dimass = 15.0403 event = 440 jet1_Et = 69.1233 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 45.0948 lep2_E = 14.6136 rand = 0.999742 run = 235195 weight = 1.45704e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===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 = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.336259 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 905 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 46189 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 905 negative weights. Signal fraction: 61.5765076 % ------------------------------ 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 55.8830566 62.2173615 64.3902206 65.6066437 67.0142822 67.9541931 68.838913 69.7847061 70.470993 71.2497635 71.9667969 72.7594299 73.4045868 73.9703217 74.5219879 75.047226 75.5847473 76.1721191 76.6537323 77.2368317 77.7170258 78.2793045 78.6612396 79.1315155 79.4831848 79.8584595 80.3920212 80.9302826 81.4345398 81.9786987 82.3612976 82.9407272 83.6354218 84.4629517 85.2044983 86.0569153 86.8890228 87.7518539 88.6033478 89.683403 90.7603226 92.0083008 92.9986267 94.0780334 95.3526382 96.4067383 97.4953613 98.6677017 99.6726227 100.81424 102.07515 102.838547 103.765564 104.64006 105.625839 106.552025 107.525322 108.850716 109.85791 111.10878 112.339966 113.128212 114.236023 115.364822 116.414024 117.471954 118.476524 119.748611 121.126938 122.264938 123.577637 125.074463 126.699997 127.930885 129.710571 131.322876 132.998199 135.158447 136.97934 139.050522 141.464081 143.694214 146.262207 148.336426 150.864044 153.895203 156.20752 159.123901 162.354584 166.301849 170.326263 174.022293 178.144913 183.190735 190.427704 198.728394 209.555267 221.593994 242.015808 277.360718 625.246765 ------------------------------ Transdef: Tab for variable 3 20.001255 20.2501068 20.4937153 20.705864 20.9268265 21.1245117 21.3525467 21.5635357 21.8141403 21.9666824 22.1507111 22.3245049 22.4919548 22.6767159 22.8939972 23.0829525 23.2641487 23.4642944 23.6519585 23.7642498 23.932148 24.1085205 24.2743149 24.450325 24.5964737 24.7633953 24.9154301 25.0562458 25.2750244 25.4192543 25.578949 25.7140579 25.8605232 26.0341721 26.1945648 26.31283 26.5185604 26.6899414 26.8530388 26.9828453 27.1231499 27.3065834 27.5454063 27.7319946 27.9312248 28.1161461 28.2818565 28.4938431 28.7123413 28.9148521 29.1275558 29.3395271 29.60993 29.7876339 29.9846535 30.1655636 30.4027767 30.6494751 30.8783703 31.1825104 31.4217758 31.71311 32.0215683 32.2616501 32.5025406 32.8224792 33.0842361 33.3605576 33.6452789 33.9271088 34.283638 34.6767273 35.0386925 35.3363762 35.7153549 36.0490723 36.4855194 36.9176865 37.3331375 37.7551498 38.2026138 38.680748 39.1671371 39.7304916 40.219017 40.8370399 41.5597763 42.205574 42.8959045 43.7145844 44.5452957 45.595787 46.6764107 47.8051605 49.1380882 50.9831009 53.2629471 56.101326 60.4604721 69.381073 151.031479 ------------------------------ Transdef: Tab for variable 4 10.0006418 10.0869236 10.1475086 10.2254028 10.3016758 10.3900967 10.4743853 10.5918179 10.6909618 10.7766991 10.839963 10.9374962 11.0313492 11.1317558 11.2277756 11.3227596 11.409749 11.5166569 11.6257381 11.7472839 11.838047 11.9345226 12.0245514 12.1439762 12.2660294 12.3920307 12.5110397 12.6350574 12.7434731 12.8519125 12.9466295 13.0595093 13.1682997 13.3024931 13.4208221 13.5469103 13.6490631 13.7783031 13.8904648 14.0042171 14.1287498 14.2550983 14.3639908 14.48283 14.5914927 14.7291222 14.8448439 14.9811697 15.1324863 15.2658472 15.4053001 15.5340137 15.6627445 15.8027382 15.9620352 16.1125374 16.2819786 16.4087143 16.5702553 16.7373581 16.8780899 17.0908794 17.2697258 17.4327431 17.6035404 17.7933121 17.9550629 18.1408463 18.3400116 18.5065823 18.7284832 18.9853592 19.1964264 19.4168549 19.651083 19.8916893 20.0945053 20.3265591 20.6262379 20.907299 21.2255325 21.447155 21.7293262 21.9798431 22.2736359 22.6006756 22.9497528 23.3074074 23.7342758 24.11199 24.6644592 25.1561852 25.6957607 26.2949066 27.0375099 27.9032898 28.9936028 30.1501923 32.0585251 36.5047302 66.300415 ------------------------------ Transdef: Tab for variable 5 1.77471018 2.74366903 3.0664525 3.32559776 3.51065135 3.69549417 3.83895564 3.97590208 4.09033728 4.2032671 4.30243111 4.37768936 4.44620895 4.51800156 4.61308575 4.68648148 4.76074028 4.81733513 4.89725637 4.95202398 4.99798346 5.05573654 5.11343336 5.15986061 5.21115351 5.26987457 5.31999779 5.37265873 5.41323662 5.45802927 5.50619793 5.54902792 5.59098387 5.6378336 5.67604923 5.72549534 5.76752138 5.79690838 5.83417988 5.87413692 5.91763401 5.9618268 5.99606705 6.03343248 6.06993103 6.10262728 6.14378643 6.18445969 6.21704388 6.25689697 6.29247379 6.33337402 6.36142015 6.39833355 6.43348265 6.46999311 6.5070858 6.54454327 6.58614159 6.62497425 6.66068792 6.69779015 6.74014091 6.77834892 6.82163286 6.85189819 6.88897085 6.93281889 6.98147726 7.01704407 7.06673431 7.11342525 7.15298462 7.19433403 7.24235916 7.28937817 7.3330369 7.38911533 7.43281937 7.47033358 7.5315218 7.58942604 7.64597607 7.71538782 7.78738403 7.85844898 7.91490364 7.98137665 8.05345058 8.13315773 8.22557259 8.31437111 8.40697479 8.5285244 8.68232918 8.85432053 9.09519768 9.33514595 9.6977272 10.3941116 16.893774 ------------------------------ Transdef: Tab for variable 6 25.0046959 25.6451359 26.3065414 26.9260254 27.5700264 28.2565193 28.8840637 29.5474854 30.0209274 30.5647469 31.086956 31.4823723 31.8724194 32.3771057 32.7861481 33.0864792 33.4849243 33.8424988 34.209671 34.5727158 34.8303413 35.2259521 35.5930176 35.9746323 36.2919388 36.5700531 36.8813629 37.1284103 37.3541031 37.6072617 37.8865776 38.1529465 38.4941559 38.7655563 39.0491638 39.3594666 39.5850906 39.9435196 40.2417107 40.4386826 40.7625542 41.1035309 41.3707809 41.6564941 41.9014053 42.1563416 42.444191 42.843277 43.0990257 43.5767517 43.943985 44.2548141 44.6120148 44.9215469 45.3833275 45.7956924 46.3298264 46.8027992 47.3014832 47.8130951 48.3409882 48.836998 49.2341537 49.7936478 50.3258705 50.7764359 51.2773285 51.7369041 52.3241425 52.9212341 53.4644318 54.018364 54.5128784 55.0459976 55.768486 56.3143692 56.8482895 57.5343399 58.0816956 58.7192535 59.3025742 59.9941292 60.5809784 61.2842598 62.0162849 62.723732 63.494278 64.3532944 65.2688065 66.3420029 67.6491547 68.9540253 70.3579865 72.3490448 74.5421906 76.8472443 80.4984207 83.578743 89.2317963 99.4170532 179.857086 ------------------------------ Transdef: Tab for variable 7 30.1895332 32.5596924 33.279213 34.1041756 34.693203 35.1295128 35.5195007 35.829361 36.1400986 36.4847527 36.8282547 37.0439339 37.359108 37.6057053 37.8876572 38.1262817 38.3101616 38.5643082 38.7642212 39.0615768 39.2441635 39.4363747 39.6470222 39.9593163 40.303669 40.5689011 40.789299 41.0692253 41.3798294 41.6176758 41.8892136 42.2161331 42.5519104 43.0725746 43.45158 43.7594681 44.3377075 44.8099442 45.1292877 45.7524834 46.2842827 46.9154625 47.443512 47.9864502 48.5775375 49.1855278 49.7466087 50.5550194 51.226799 51.7677307 52.509079 53.2108383 53.835022 54.4996567 55.0081177 55.6801224 56.3311691 57.0148277 57.6482964 58.3277893 58.9753456 59.6586151 60.3627357 61.0777512 62.0071449 63.0945969 64.1183014 65.4098663 66.7161865 67.9341125 69.5339813 70.8955612 72.2648773 73.4780273 74.7557373 76.2091522 77.9810944 79.4398804 80.9930725 82.3224869 83.757782 85.6471558 87.6475067 89.6086884 91.9933624 94.1041412 96.8723907 99.2859955 101.967758 105.077469 108.557022 112.020393 116.016602 121.229317 127.310417 135.119171 143.664795 156.546997 171.315521 199.4664 400.445831 ------------------------------ Transdef: Tab for variable 8 3.53889132 22.6115646 27.217289 29.7747211 31.0209312 31.7896805 32.4412003 33.0400085 33.4021683 33.8054123 34.203949 34.571125 34.8938675 35.0927086 35.3837662 35.6970787 35.9271317 36.1822281 36.4239159 36.6343956 36.8842468 37.174881 37.3556404 37.5833664 37.756218 37.9276047 38.111496 38.2669525 38.5394058 38.7334595 39.0047379 39.2183151 39.4410439 39.7105179 39.9851151 40.2001381 40.4243317 40.6338348 40.8404694 41.1118927 41.3782196 41.6468048 41.906044 42.1965065 42.5193443 42.9267616 43.2139816 43.5617294 43.8491745 44.2144089 44.6778793 44.9963608 45.4885788 45.8250961 46.2503929 46.6304474 46.9920235 47.3843842 47.7443161 48.1829414 48.6314316 49.1470108 49.5768356 50.1563606 50.6132736 51.0413551 51.4868317 52.0116425 52.4096642 52.8107681 53.2799911 53.8936043 54.4770584 54.925705 55.4763069 55.9636154 56.5512886 57.0817795 57.5068207 58.1342697 58.6456032 59.2105408 59.8489914 60.5278931 61.236496 62.1182861 63.1037216 63.8747139 65.1275787 66.3634338 67.6200867 69.2554779 70.7396545 72.6593781 74.740097 77.3587189 81.0406494 85.2805862 91.9652405 103.776123 251.591461 ------------------------------ Transdef: Tab for variable 9 55.8830566 62.1156654 64.026535 65.1322784 66.4075775 67.443924 68.2642441 69.0011597 70.004631 70.470993 71.1985474 71.7009125 72.344986 73.0710297 73.5370102 74.0330811 74.5562134 74.9914246 75.4744263 75.9072037 76.3523178 76.8522034 77.3473663 77.7811127 78.2667847 78.6116791 79.0696793 79.3805084 79.6815491 80.1011887 80.4909439 80.9581833 81.4049759 81.8972473 82.2506027 82.6783981 83.2071381 83.7488098 84.380806 85.0052948 85.5969772 86.2844543 86.8439178 87.4680481 88.0955048 88.7635193 89.6096344 90.4561462 91.0353699 92.00354 92.6944275 93.47789 94.2083664 95.0715942 95.987854 96.8349304 97.8412018 98.7127533 99.5671234 100.440613 101.255478 102.212006 102.835266 103.611496 104.360504 105.130699 105.845718 106.621323 107.23819 108.147705 108.93438 109.704163 110.498474 111.287331 112.146957 112.883919 113.585938 114.390427 115.176376 115.977905 116.843834 117.582153 118.434471 119.334816 120.335968 121.252617 122.176422 123.313011 124.568733 125.735764 127.00769 128.453568 130.132217 132.184326 134.478165 137.69809 141.675964 147.585754 155.524231 173.031982 334.425079 ------------------------------ Transdef: Tab for variable 10 0.247615755 1.06639624 1.34538293 1.53046441 1.664433 1.77232492 1.88341498 1.96369624 2.03653216 2.10265183 2.17238927 2.22445059 2.26563263 2.30252361 2.34045386 2.38282871 2.41576052 2.4569881 2.49260712 2.52263212 2.5494113 2.57761526 2.60705328 2.63187456 2.65209246 2.67552972 2.69546676 2.71802807 2.73378539 2.75362492 2.77085686 2.78610253 2.80058861 2.81467056 2.82795691 2.8398757 2.85161781 2.86355019 2.87526393 2.88482857 2.89658618 2.90585947 2.91451144 2.92123652 2.93115425 2.93771362 2.94368267 2.95029354 2.95618916 2.96241331 2.96867919 2.9751749 2.97928619 2.98502445 2.98897743 2.99348927 2.99858522 3.00485945 3.00892401 3.01355815 3.01885843 3.02245188 3.02654839 3.0310173 3.03490973 3.03841853 3.04270935 3.04588079 3.04992437 3.05375099 3.05772734 3.06088233 3.06475925 3.0685761 3.07192087 3.07507229 3.07739949 3.08067131 3.08419061 3.0868516 3.08966517 3.09330082 3.09572124 3.09848189 3.10072732 3.10327768 3.10562015 3.10834646 3.11119318 3.11402559 3.116539 3.11907077 3.12173748 3.12457228 3.12687755 3.12968087 3.13230467 3.1344533 3.13677192 3.1390276 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.00854349136 0.0160298124 0.0223574676 0.0287363976 0.0353497937 0.0422816649 0.0504252911 0.0587564707 0.0655406713 0.0733345747 0.081589818 0.0884922743 0.0957473963 0.104353562 0.113471493 0.122374982 0.132708773 0.142170697 0.152085185 0.159668088 0.166026473 0.171748698 0.179809093 0.185154557 0.191755533 0.197773904 0.203614026 0.208246052 0.212696195 0.218224421 0.224147618 0.228923798 0.233491182 0.239294052 0.243939161 0.248890817 0.255506754 0.261617005 0.267637253 0.273946285 0.279844999 0.286754727 0.292414069 0.299376547 0.307390124 0.312630653 0.318573713 0.324524343 0.331511259 0.337692916 0.343696594 0.349785089 0.355162621 0.360387206 0.367717713 0.373619914 0.381169081 0.387968242 0.393746287 0.400351048 0.407170713 0.413591623 0.419910699 0.426880896 0.433670521 0.438442945 0.445038557 0.451753557 0.457378387 0.462929487 0.468065977 0.474357903 0.48079139 0.487004519 0.494212747 0.500092685 0.507081509 0.513763487 0.520135164 0.529649377 0.538440466 0.547441125 0.555700004 0.566654861 0.575884283 0.583233058 0.593299091 0.6049155 0.617103696 0.631315231 0.644220471 0.655859053 0.672178209 0.695974231 0.710631967 0.73041898 0.755165696 0.789904118 0.857328415 1.080302 ------------------------------ Transdef: Tab for variable 12 0.200196758 0.212193057 0.221660554 0.232714474 0.240219563 0.249755651 0.257953376 0.265238822 0.273573339 0.281540811 0.289167643 0.296343684 0.302780807 0.311359048 0.319771826 0.326598644 0.333460599 0.342067003 0.349356592 0.356796622 0.363115668 0.370985687 0.378014207 0.385096252 0.392381519 0.398675025 0.4056032 0.410313338 0.414345115 0.419198275 0.422917068 0.427896738 0.432554066 0.437403053 0.44206953 0.446839124 0.45145762 0.456532955 0.462394536 0.466590345 0.470289409 0.475099206 0.479040444 0.482470274 0.487060636 0.490062654 0.494116277 0.49810949 0.502871573 0.506719947 0.510332525 0.514923215 0.520110905 0.523469567 0.527505696 0.532206297 0.537235975 0.5418607 0.545638323 0.549560905 0.554390788 0.559798002 0.564538717 0.568918943 0.573741853 0.578223407 0.583124757 0.588113725 0.593416333 0.597267866 0.60268569 0.608435631 0.614544928 0.619564116 0.624880493 0.630619109 0.63629663 0.642900169 0.648908496 0.655609608 0.660983801 0.667401791 0.675453782 0.683224678 0.693170905 0.701346755 0.710116267 0.718463659 0.725649476 0.735851824 0.743703961 0.753602624 0.767323196 0.778437912 0.793526053 0.806921065 0.82245481 0.844189048 0.875290751 0.920795083 1.13498271 ------------------------------ Transdef: Tab for variable 13 20.0464249 21.3598785 22.2068253 22.7831745 23.2957497 23.7754517 24.332489 24.8260231 25.3014755 25.7257233 26.031601 26.5026455 26.838438 27.2036781 27.6472244 28.0322723 28.3045654 28.5819664 28.8755531 29.1912098 29.4696236 29.7761803 30.0857372 30.3807411 30.6236076 30.9048977 31.2573929 31.5581474 31.9206543 32.2062988 32.5295715 32.8463936 33.1905441 33.503643 33.7810516 34.1628571 34.5042305 34.8270721 35.1654205 35.5643158 35.8749542 36.2533188 36.611763 36.9636421 37.3353844 37.6347046 38.0494919 38.4287338 38.7664719 39.1616592 39.7593613 40.2169342 40.6651917 41.1784363 41.6535759 42.0792389 42.5806808 43.0145645 43.5923233 44.0932961 44.6360931 45.2299957 45.8724861 46.5771942 47.1373596 47.8020134 48.476429 49.035675 49.6341591 50.3029556 50.9639587 51.6448364 52.3412628 53.1607971 54.0552826 54.7163696 55.5426369 56.5973129 57.4351044 58.5318451 59.4796715 60.6029625 61.630188 62.7631874 64.0756607 65.9014511 67.2320709 69.245491 70.6297913 72.4911499 74.2827682 75.9469147 78.1255798 81.1129303 84.8351135 88.0900726 92.2028351 96.0711746 102.788071 115.73735 225.703049 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.5039845 10.9454899 11.2542095 11.5065632 11.7570915 12.0440044 12.3414726 12.5940571 12.8201723 13.024353 13.2632942 13.4832544 13.713995 13.878582 14.0598383 14.2442589 14.4330006 14.6029148 14.7730331 14.9662046 15.1294413 15.3456182 15.5481739 15.7203293 15.8778419 16.1223984 16.3717461 16.6068649 16.7645149 16.947546 17.2015362 17.3929691 17.6143913 17.8149147 18.0438194 18.2324181 18.4730434 18.6891403 18.9037704 19.1208897 19.3775864 19.6093178 19.8473568 20.165308 20.4359055 20.8000145 21.053936 21.2915726 21.5500278 21.7936478 22.0907898 22.3559647 22.6644211 22.9751911 23.2366524 23.5458679 23.7971592 24.1058769 24.4323349 24.7287025 25.0260277 25.3897705 25.685154 25.9504356 26.2777023 26.584177 26.9605484 27.3675518 27.7084389 28.0037918 28.4158287 28.8755093 29.3151283 29.6751404 30.154211 30.6518517 31.1562653 31.5849419 32.1928177 32.6862564 33.4065323 34.0249901 34.7690811 35.460289 36.326416 37.2038498 38.0597649 38.8079071 39.564003 40.5160217 42.0442924 43.6894684 44.7894897 46.5690384 48.754673 51.3902817 54.8034554 58.7592468 65.9349213 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 61.8 42.7 35.8 18.1 45.0 58.3 45.9 59.6 -31.0 -7.3 -12.7 1.5 -4.4 2 61.8 100.0 60.3 46.6 19.0 65.0 93.6 64.5 90.5 -51.8 -17.1 -29.2 19.1 9.1 3 42.7 60.3 100.0 20.3 -5.7 26.5 64.9 45.2 66.9 -19.4 -16.8 -31.6 54.6 -1.8 4 35.8 46.6 20.3 100.0 2.1 25.5 48.3 36.1 51.6 -13.8 -19.3 -36.9 1.1 56.9 5 18.1 19.0 -5.7 2.1 100.0 79.8 -9.5 42.2 45.1 27.7 -1.1 0.5 -15.2 -8.7 6 45.0 65.0 26.5 25.5 79.8 100.0 41.8 69.8 78.8 -8.0 -8.5 -14.0 -0.9 -0.8 7 58.3 93.6 64.9 48.3 -9.5 41.8 100.0 59.1 78.0 -57.6 -15.5 -28.5 25.8 13.7 8 45.9 64.5 45.2 36.1 42.2 69.8 59.1 100.0 74.4 -11.4 -14.1 -22.2 14.4 8.0 9 59.6 90.5 66.9 51.6 45.1 78.8 78.0 74.4 100.0 -27.2 -19.1 -33.9 23.3 12.2 10 -31.0 -51.8 -19.4 -13.8 27.7 -8.0 -57.6 -11.4 -27.2 100.0 5.5 8.0 -4.0 0.3 11 -7.3 -17.1 -16.8 -19.3 -1.1 -8.5 -15.5 -14.1 -19.1 5.5 100.0 55.8 3.3 0.0 12 -12.7 -29.2 -31.6 -36.9 0.5 -14.0 -28.5 -22.2 -33.9 8.0 55.8 100.0 -2.8 -5.8 13 1.5 19.1 54.6 1.1 -15.2 -0.9 25.8 14.4 23.3 -4.0 3.3 -2.8 100.0 45.3 14 -4.4 9.1 -1.8 56.9 -8.7 -0.8 13.7 8.0 12.2 0.3 0.0 -5.8 45.3 100.0 TOTAL CORRELATION TO TARGET (diagonal) 139.752283 TOTAL CORRELATION OF ALL VARIABLES 68.3418411 ROUND 1: MAX CORR ( 68.3372469) AFTER KILLING INPUT VARIABLE 11 CONTR 0.792421675 ROUND 2: MAX CORR ( 68.3125993) AFTER KILLING INPUT VARIABLE 6 CONTR 1.83523405 ROUND 3: MAX CORR ( 68.2551332) AFTER KILLING INPUT VARIABLE 8 CONTR 2.80143068 ROUND 4: MAX CORR ( 68.1371672) AFTER KILLING INPUT VARIABLE 13 CONTR 4.01119219 ROUND 5: MAX CORR ( 67.9266284) AFTER KILLING INPUT VARIABLE 2 CONTR 5.35226092 ROUND 6: MAX CORR ( 67.7693296) AFTER KILLING INPUT VARIABLE 9 CONTR 4.62004566 ROUND 7: MAX CORR ( 67.3807825) AFTER KILLING INPUT VARIABLE 10 CONTR 7.24652848 ROUND 8: MAX CORR ( 66.7553837) AFTER KILLING INPUT VARIABLE 3 CONTR 9.15907243 ROUND 9: MAX CORR ( 65.9506177) AFTER KILLING INPUT VARIABLE 12 CONTR 10.3342766 ROUND 10: MAX CORR ( 63.869869) AFTER KILLING INPUT VARIABLE 4 CONTR 16.4354435 ROUND 11: MAX CORR ( 62.9473579) AFTER KILLING INPUT VARIABLE 14 CONTR 10.8162058 ROUND 12: MAX CORR ( 58.3212662) AFTER KILLING INPUT VARIABLE 5 CONTR 23.6854337 LAST REMAINING VARIABLE: 7 total correlation to target: 68.3418411 % total significance: 61.5341821 sigma correlations of single variables to target: variable 2: 61.7742585 % , in sigma: 55.6208087 variable 3: 42.7049824 % , in sigma: 38.4510589 variable 4: 35.8125578 % , in sigma: 32.2452017 variable 5: 18.0562053 % , in sigma: 16.2575928 variable 6: 45.0313699 % , in sigma: 40.5457106 variable 7: 58.3212662 % , in sigma: 52.5117755 variable 8: 45.9014944 % , in sigma: 41.3291604 variable 9: 59.5568991 % , in sigma: 53.6243247 variable 10: -31.0355892 % , in sigma: 27.9440759 variable 11: -7.33470442 % , in sigma: 6.60408075 variable 12: -12.6668177 % , in sigma: 11.4050522 variable 13: 1.46612607 % , in sigma: 1.3200825 variable 14: -4.42617016 % , in sigma: 3.98527105 variables sorted by significance: 1 most relevant variable 7 corr 58.3212662 , in sigma: 52.5117754 2 most relevant variable 5 corr 23.6854343 , in sigma: 21.3260838 3 most relevant variable 14 corr 10.816206 , in sigma: 9.73878341 4 most relevant variable 4 corr 16.4354439 , in sigma: 14.7982785 5 most relevant variable 12 corr 10.3342762 , in sigma: 9.30485956 6 most relevant variable 3 corr 9.15907288 , in sigma: 8.24672044 7 most relevant variable 10 corr 7.24652863 , in sigma: 6.52468831 8 most relevant variable 9 corr 4.62004566 , in sigma: 4.15983424 9 most relevant variable 2 corr 5.35226107 , in sigma: 4.8191123 10 most relevant variable 13 corr 4.01119232 , in sigma: 3.61162993 11 most relevant variable 8 corr 2.8014307 , in sigma: 2.52237493 12 most relevant variable 6 corr 1.83523405 , in sigma: 1.65242294 13 most relevant variable 11 corr 0.792421699 , in sigma: 0.713487086 global correlations between input variables: variable 2: 99.0702298 % variable 3: 93.2955178 % variable 4: 89.1544013 % variable 5: 95.3675643 % variable 6: 95.3211749 % variable 7: 98.4572469 % variable 8: 84.1401971 % variable 9: 98.82903 % variable 10: 71.6732618 % variable 11: 56.5154287 % variable 12: 65.7286698 % variable 13: 85.2496072 % variable 14: 86.0562867 % significance loss when removing single variables: variable 2: corr = 5.25034876 % , sigma = 4.72735167 variable 3: corr = 13.0787782 % , sigma = 11.7759766 variable 4: corr = 16.6679318 % , sigma = 15.0076079 variable 5: corr = 8.76782917 % , sigma = 7.89444925 variable 6: corr = 1.80047905 % , sigma = 1.62112995 variable 7: corr = 3.47301003 % , sigma = 3.12705698 variable 8: corr = 2.06993716 % , sigma = 1.86374683 variable 9: corr = 7.41012263 % , sigma = 6.67198641 variable 10: corr = 6.448828 % , sigma = 5.80644815 variable 11: corr = 0.792421675 % , sigma = 0.713487065 variable 12: corr = 10.0404368 % , sigma = 9.04029004 variable 13: corr = 4.00777311 % , sigma = 3.60855131 variable 14: corr = 9.40347775 % , sigma = 8.46677969 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 5 --> 7.22236872 sigma out 15 active outputs RANK 2 NODE 9 --> 6.23167992 sigma out 15 active outputs RANK 3 NODE 1 --> 5.13122368 sigma out 15 active outputs RANK 4 NODE 4 --> 4.86737108 sigma out 15 active outputs RANK 5 NODE 7 --> 4.63216972 sigma out 15 active outputs RANK 6 NODE 8 --> 4.18382645 sigma out 15 active outputs RANK 7 NODE 2 --> 3.68755841 sigma out 15 active outputs RANK 8 NODE 3 --> 3.63376331 sigma out 15 active outputs RANK 9 NODE 6 --> 3.45399809 sigma out 15 active outputs RANK 10 NODE 10 --> 2.65109062 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 10.1653509 sigma in 10act. ( 10.7724714 sig out 1act.) RANK 2 NODE 10 --> 4.29179096 sigma in 10act. ( 5.02945232 sig out 1act.) RANK 3 NODE 1 --> 3.70155144 sigma in 10act. ( 3.98749924 sig out 1act.) RANK 4 NODE 4 --> 3.68277836 sigma in 10act. ( 3.68725491 sig out 1act.) RANK 5 NODE 12 --> 3.65029597 sigma in 10act. ( 4.15994072 sig out 1act.) RANK 6 NODE 13 --> 3.59400511 sigma in 10act. ( 3.45759583 sig out 1act.) RANK 7 NODE 6 --> 3.57652736 sigma in 10act. ( 3.76606011 sig out 1act.) RANK 8 NODE 11 --> 2.99210453 sigma in 10act. ( 2.41369748 sig out 1act.) RANK 9 NODE 2 --> 2.54869246 sigma in 10act. ( 0.668459833 sig out 1act.) RANK 10 NODE 15 --> 2.52497458 sigma in 10act. ( 2.22974181 sig out 1act.) RANK 11 NODE 9 --> 2.41641259 sigma in 10act. ( 1.53993583 sig out 1act.) RANK 12 NODE 5 --> 2.04312038 sigma in 10act. ( 2.15736198 sig out 1act.) RANK 13 NODE 3 --> 1.86003554 sigma in 10act. ( 0.995679796 sig out 1act.) RANK 14 NODE 7 --> 1.13433146 sigma in 10act. ( 0.472616404 sig out 1act.) RANK 15 NODE 8 --> 1.05082047 sigma in 10act. ( 0.113902606 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 10.7724714 sigma out 1act.( 10.1653509 sig in 10act.) RANK 2 NODE 10 --> 5.02945232 sigma out 1act.( 4.29179096 sig in 10act.) RANK 3 NODE 12 --> 4.15994072 sigma out 1act.( 3.65029597 sig in 10act.) RANK 4 NODE 1 --> 3.98749924 sigma out 1act.( 3.70155144 sig in 10act.) RANK 5 NODE 6 --> 3.76606011 sigma out 1act.( 3.57652736 sig in 10act.) RANK 6 NODE 4 --> 3.68725491 sigma out 1act.( 3.68277836 sig in 10act.) RANK 7 NODE 13 --> 3.45759583 sigma out 1act.( 3.59400511 sig in 10act.) RANK 8 NODE 11 --> 2.41369748 sigma out 1act.( 2.99210453 sig in 10act.) RANK 9 NODE 15 --> 2.22974181 sigma out 1act.( 2.52497458 sig in 10act.) RANK 10 NODE 5 --> 2.15736198 sigma out 1act.( 2.04312038 sig in 10act.) RANK 11 NODE 9 --> 1.53993583 sigma out 1act.( 2.41641259 sig in 10act.) RANK 12 NODE 3 --> 0.995679796 sigma out 1act.( 1.86003554 sig in 10act.) RANK 13 NODE 2 --> 0.668459833 sigma out 1act.( 2.54869246 sig in 10act.) RANK 14 NODE 7 --> 0.472616404 sigma out 1act.( 1.13433146 sig in 10act.) RANK 15 NODE 8 --> 0.113902606 sigma out 1act.( 1.05082047 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 15.2898226 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 13.5010328 sigma out 15 active outputs RANK 2 NODE 5 --> 9.14866352 sigma out 15 active outputs RANK 3 NODE 4 --> 8.27025127 sigma out 15 active outputs RANK 4 NODE 9 --> 7.94441652 sigma out 15 active outputs RANK 5 NODE 7 --> 7.6346283 sigma out 15 active outputs RANK 6 NODE 6 --> 6.8247261 sigma out 15 active outputs RANK 7 NODE 8 --> 6.61105442 sigma out 15 active outputs RANK 8 NODE 3 --> 6.37288237 sigma out 15 active outputs RANK 9 NODE 1 --> 6.32011414 sigma out 15 active outputs RANK 10 NODE 10 --> 5.0518446 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 10.4221277 sigma in 10act. ( 11.3029575 sig out 1act.) RANK 2 NODE 10 --> 8.36959648 sigma in 10act. ( 6.94559288 sig out 1act.) RANK 3 NODE 12 --> 7.88110685 sigma in 10act. ( 5.75169611 sig out 1act.) RANK 4 NODE 1 --> 7.60528183 sigma in 10act. ( 4.90647697 sig out 1act.) RANK 5 NODE 13 --> 7.07018948 sigma in 10act. ( 4.18204546 sig out 1act.) RANK 6 NODE 7 --> 6.72815132 sigma in 10act. ( 1.78688753 sig out 1act.) RANK 7 NODE 6 --> 6.49506426 sigma in 10act. ( 5.11943722 sig out 1act.) RANK 8 NODE 15 --> 6.23478985 sigma in 10act. ( 2.75991464 sig out 1act.) RANK 9 NODE 5 --> 6.09454346 sigma in 10act. ( 3.72751021 sig out 1act.) RANK 10 NODE 11 --> 5.77260542 sigma in 10act. ( 3.64313841 sig out 1act.) RANK 11 NODE 4 --> 5.60863447 sigma in 10act. ( 3.46075535 sig out 1act.) RANK 12 NODE 2 --> 5.2743082 sigma in 10act. ( 0.93559438 sig out 1act.) RANK 13 NODE 9 --> 4.50709677 sigma in 10act. ( 1.31722713 sig out 1act.) RANK 14 NODE 3 --> 3.76237679 sigma in 10act. ( 0.105881043 sig out 1act.) RANK 15 NODE 8 --> 3.60385513 sigma in 10act. ( 0.526105642 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 11.3029575 sigma out 1act.( 10.4221277 sig in 10act.) RANK 2 NODE 10 --> 6.94559288 sigma out 1act.( 8.36959648 sig in 10act.) RANK 3 NODE 12 --> 5.75169611 sigma out 1act.( 7.88110685 sig in 10act.) RANK 4 NODE 6 --> 5.11943722 sigma out 1act.( 6.49506426 sig in 10act.) RANK 5 NODE 1 --> 4.90647697 sigma out 1act.( 7.60528183 sig in 10act.) RANK 6 NODE 13 --> 4.18204546 sigma out 1act.( 7.07018948 sig in 10act.) RANK 7 NODE 5 --> 3.72751021 sigma out 1act.( 6.09454346 sig in 10act.) RANK 8 NODE 11 --> 3.64313841 sigma out 1act.( 5.77260542 sig in 10act.) RANK 9 NODE 4 --> 3.46075535 sigma out 1act.( 5.60863447 sig in 10act.) RANK 10 NODE 15 --> 2.75991464 sigma out 1act.( 6.23478985 sig in 10act.) RANK 11 NODE 7 --> 1.78688753 sigma out 1act.( 6.72815132 sig in 10act.) RANK 12 NODE 9 --> 1.31722713 sigma out 1act.( 4.50709677 sig in 10act.) RANK 13 NODE 2 --> 0.93559438 sigma out 1act.( 5.2743082 sig in 10act.) RANK 14 NODE 8 --> 0.526105642 sigma out 1act.( 3.60385513 sig in 10act.) RANK 15 NODE 3 --> 0.105881043 sigma out 1act.( 3.76237679 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 18.1577511 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.457767099 *** contribution from regularisation: 0.0110616917 *** contribution from error: -0.468828797 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.504312932 *** contribution from regularisation: 0.00426380523 *** contribution from error: -0.508576751 *********************************************** -----------------> Test sample ENTER BFGS code START -11648.9119 0.728493452 -0.10632541 EXIT FROM BFGS code FG_START 0. 0.728493452 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.51801151 *** contribution from regularisation: 0.00422204752 *** contribution from error: -0.522233546 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -11962.9582 0.728493452 -14.0820179 EXIT FROM BFGS code FG_LNSRCH 0. 0.716647685 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.551226258 *** contribution from regularisation: 0.00819965731 *** contribution from error: -0.55942589 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12730.0189 0.716647685 -17.7335987 EXIT FROM BFGS code NEW_X -12730.0189 0.716647685 -17.7335987 ENTER BFGS code NEW_X -12730.0189 0.716647685 -17.7335987 EXIT FROM BFGS code FG_LNSRCH 0. 0.703229189 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.55280441 *** contribution from regularisation: 0.00832017977 *** contribution from error: -0.561124563 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12766.4657 0.703229189 -11.9156904 EXIT FROM BFGS code NEW_X -12766.4657 0.703229189 -11.9156904 ENTER BFGS code NEW_X -12766.4657 0.703229189 -11.9156904 EXIT FROM BFGS code FG_LNSRCH 0. 0.676708221 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.554937422 *** contribution from regularisation: 0.00790248904 *** contribution from error: -0.562839925 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12815.7251 0.676708221 -8.22539997 EXIT FROM BFGS code NEW_X -12815.7251 0.676708221 -8.22539997 ENTER BFGS code NEW_X -12815.7251 0.676708221 -8.22539997 EXIT FROM BFGS code FG_LNSRCH 0. 0.635040462 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.556050718 *** contribution from regularisation: 0.00733178621 *** contribution from error: -0.563382506 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12841.4349 0.635040462 -7.88115215 EXIT FROM BFGS code NEW_X -12841.4349 0.635040462 -7.88115215 ENTER BFGS code NEW_X -12841.4349 0.635040462 -7.88115215 EXIT FROM BFGS code FG_LNSRCH 0. 0.599672377 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.556298494 *** contribution from regularisation: 0.00729159499 *** contribution from error: -0.563590109 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12847.1569 0.599672377 -7.85319567 EXIT FROM BFGS code NEW_X -12847.1569 0.599672377 -7.85319567 ENTER BFGS code NEW_X -12847.1569 0.599672377 -7.85319567 EXIT FROM BFGS code FG_LNSRCH 0. 0.159258932 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.558641016 *** contribution from regularisation: 0.00475498661 *** contribution from error: -0.563395977 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12901.256 0.159258932 -2.2123065 EXIT FROM BFGS code NEW_X -12901.256 0.159258932 -2.2123065 ENTER BFGS code NEW_X -12901.256 0.159258932 -2.2123065 EXIT FROM BFGS code FG_LNSRCH 0. -0.142993107 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 19.094223 sigma out 15 active outputs RANK 2 NODE 7 --> 9.20664692 sigma out 15 active outputs RANK 3 NODE 1 --> 8.84388542 sigma out 15 active outputs RANK 4 NODE 3 --> 8.07716465 sigma out 15 active outputs RANK 5 NODE 9 --> 6.78100204 sigma out 15 active outputs RANK 6 NODE 4 --> 6.35999441 sigma out 15 active outputs RANK 7 NODE 5 --> 6.16807461 sigma out 15 active outputs RANK 8 NODE 6 --> 5.92169189 sigma out 15 active outputs RANK 9 NODE 8 --> 4.99181318 sigma out 15 active outputs RANK 10 NODE 10 --> 3.84589267 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 13.170845 sigma in 10act. ( 13.4392881 sig out 1act.) RANK 2 NODE 12 --> 11.3988829 sigma in 10act. ( 9.4177475 sig out 1act.) RANK 3 NODE 10 --> 11.3559904 sigma in 10act. ( 10.9071455 sig out 1act.) RANK 4 NODE 6 --> 10.0602884 sigma in 10act. ( 7.6202116 sig out 1act.) RANK 5 NODE 11 --> 8.87430954 sigma in 10act. ( 8.68448257 sig out 1act.) RANK 6 NODE 5 --> 7.52365303 sigma in 10act. ( 4.93715096 sig out 1act.) RANK 7 NODE 1 --> 6.69420099 sigma in 10act. ( 5.98633432 sig out 1act.) RANK 8 NODE 13 --> 5.01748419 sigma in 10act. ( 4.04145527 sig out 1act.) RANK 9 NODE 4 --> 4.03085566 sigma in 10act. ( 4.01381779 sig out 1act.) RANK 10 NODE 14 --> 3.32518101 sigma in 10act. ( 0.31261614 sig out 1act.) RANK 11 NODE 9 --> 2.96249986 sigma in 10act. ( 2.04688525 sig out 1act.) RANK 12 NODE 15 --> 2.31757379 sigma in 10act. ( 1.23679245 sig out 1act.) RANK 13 NODE 3 --> 2.04739046 sigma in 10act. ( 1.56680334 sig out 1act.) RANK 14 NODE 8 --> 2.04502964 sigma in 10act. ( 0.277008355 sig out 1act.) RANK 15 NODE 2 --> 1.82013988 sigma in 10act. ( 0.750468731 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 13.4392881 sigma out 1act.( 13.170845 sig in 10act.) RANK 2 NODE 10 --> 10.9071455 sigma out 1act.( 11.3559904 sig in 10act.) RANK 3 NODE 12 --> 9.4177475 sigma out 1act.( 11.3988829 sig in 10act.) RANK 4 NODE 11 --> 8.68448257 sigma out 1act.( 8.87430954 sig in 10act.) RANK 5 NODE 6 --> 7.6202116 sigma out 1act.( 10.0602884 sig in 10act.) RANK 6 NODE 1 --> 5.98633432 sigma out 1act.( 6.69420099 sig in 10act.) RANK 7 NODE 5 --> 4.93715096 sigma out 1act.( 7.52365303 sig in 10act.) RANK 8 NODE 13 --> 4.04145527 sigma out 1act.( 5.01748419 sig in 10act.) RANK 9 NODE 4 --> 4.01381779 sigma out 1act.( 4.03085566 sig in 10act.) RANK 10 NODE 9 --> 2.04688525 sigma out 1act.( 2.96249986 sig in 10act.) RANK 11 NODE 3 --> 1.56680334 sigma out 1act.( 2.04739046 sig in 10act.) RANK 12 NODE 15 --> 1.23679245 sigma out 1act.( 2.31757379 sig in 10act.) RANK 13 NODE 2 --> 0.750468731 sigma out 1act.( 1.82013988 sig in 10act.) RANK 14 NODE 14 --> 0.31261614 sigma out 1act.( 3.32518101 sig in 10act.) RANK 15 NODE 8 --> 0.277008355 sigma out 1act.( 2.04502964 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 24.9665737 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.555685103 *** contribution from regularisation: 0.00781159615 *** contribution from error: -0.563496709 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -12832.9919 -0.142993107 2.84298921 EXIT FROM BFGS code FG_LNSRCH 0. 0.0981410891 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.556981087 *** contribution from regularisation: 0.00707360916 *** contribution from error: -0.564054668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12862.9211 0.0981410891 0.820831001 EXIT FROM BFGS code FG_LNSRCH 0. 0.155056477 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.556658089 *** contribution from regularisation: 0.00679249084 *** contribution from error: -0.563450575 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12855.4625 0.155056477 0.0874608755 EXIT FROM BFGS code FG_LNSRCH 0. 0.159236357 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.556634784 *** contribution from regularisation: 0.00676151086 *** contribution from error: -0.563396275 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12854.9242 0.159236357 -0.185429797 EXIT FROM BFGS code FG_LNSRCH 0. 0.159258932 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.556774139 *** contribution from regularisation: 0.00662184926 *** contribution from error: -0.563395977 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12858.1426 0.159258932 -0.0750682354 EXIT FROM BFGS code FG_LNSRCH 0. 0.159258932 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.556764543 *** contribution from regularisation: 0.0066314959 *** contribution from error: -0.563396037 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12857.9199 0.159258932 -0.106281236 EXIT FROM BFGS code FG_LNSRCH 0. 0.159258932 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.556825221 *** contribution from regularisation: 0.00657078065 *** contribution from error: -0.563395977 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12859.322 0.159258932 -0.0728335679 EXIT FROM BFGS code FG_LNSRCH 0. 0.159258932 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.556742668 *** contribution from regularisation: 0.00665336987 *** contribution from error: -0.563396037 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12857.4147 0.159258932 -0.117849894 EXIT FROM BFGS code NEW_X -12857.4147 0.159258932 -0.117849894 ENTER BFGS code NEW_X -12857.4147 0.159258932 -0.117849894 EXIT FROM BFGS code CONVERGENC -12857.4147 0.159258932 -0.117849894 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 26.2488251 sigma out 15 active outputs RANK 2 NODE 3 --> 10.9927483 sigma out 15 active outputs RANK 3 NODE 1 --> 10.3850126 sigma out 15 active outputs RANK 4 NODE 7 --> 9.19762039 sigma out 15 active outputs RANK 5 NODE 6 --> 8.48800278 sigma out 15 active outputs RANK 6 NODE 9 --> 8.15825558 sigma out 15 active outputs RANK 7 NODE 4 --> 7.81596708 sigma out 15 active outputs RANK 8 NODE 8 --> 4.70854282 sigma out 15 active outputs RANK 9 NODE 5 --> 4.22597361 sigma out 15 active outputs RANK 10 NODE 10 --> 3.96346092 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 15.5760088 sigma in 10act. ( 17.0177555 sig out 1act.) RANK 2 NODE 12 --> 15.2736292 sigma in 10act. ( 13.9762039 sig out 1act.) RANK 3 NODE 10 --> 14.1904726 sigma in 10act. ( 13.8132896 sig out 1act.) RANK 4 NODE 6 --> 12.1318493 sigma in 10act. ( 11.0487175 sig out 1act.) RANK 5 NODE 11 --> 11.8095083 sigma in 10act. ( 10.0810413 sig out 1act.) RANK 6 NODE 5 --> 10.4381075 sigma in 10act. ( 8.26830864 sig out 1act.) RANK 7 NODE 1 --> 8.1243124 sigma in 10act. ( 6.32652092 sig out 1act.) RANK 8 NODE 13 --> 6.79901457 sigma in 10act. ( 4.81467199 sig out 1act.) RANK 9 NODE 4 --> 4.72354698 sigma in 10act. ( 4.0353713 sig out 1act.) RANK 10 NODE 14 --> 3.70467663 sigma in 10act. ( 1.88262272 sig out 1act.) RANK 11 NODE 15 --> 3.30480456 sigma in 10act. ( 1.89456987 sig out 1act.) RANK 12 NODE 9 --> 3.065382 sigma in 10act. ( 2.32505274 sig out 1act.) RANK 13 NODE 3 --> 2.70142198 sigma in 10act. ( 1.82816839 sig out 1act.) RANK 14 NODE 8 --> 2.14204288 sigma in 10act. ( 0.563083291 sig out 1act.) RANK 15 NODE 2 --> 2.09270334 sigma in 10act. ( 0.846794605 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 17.0177555 sigma out 1act.( 15.5760088 sig in 10act.) RANK 2 NODE 12 --> 13.9762039 sigma out 1act.( 15.2736292 sig in 10act.) RANK 3 NODE 10 --> 13.8132896 sigma out 1act.( 14.1904726 sig in 10act.) RANK 4 NODE 6 --> 11.0487175 sigma out 1act.( 12.1318493 sig in 10act.) RANK 5 NODE 11 --> 10.0810413 sigma out 1act.( 11.8095083 sig in 10act.) RANK 6 NODE 5 --> 8.26830864 sigma out 1act.( 10.4381075 sig in 10act.) RANK 7 NODE 1 --> 6.32652092 sigma out 1act.( 8.1243124 sig in 10act.) RANK 8 NODE 13 --> 4.81467199 sigma out 1act.( 6.79901457 sig in 10act.) RANK 9 NODE 4 --> 4.0353713 sigma out 1act.( 4.72354698 sig in 10act.) RANK 10 NODE 9 --> 2.32505274 sigma out 1act.( 3.065382 sig in 10act.) RANK 11 NODE 15 --> 1.89456987 sigma out 1act.( 3.30480456 sig in 10act.) RANK 12 NODE 14 --> 1.88262272 sigma out 1act.( 3.70467663 sig in 10act.) RANK 13 NODE 3 --> 1.82816839 sigma out 1act.( 2.70142198 sig in 10act.) RANK 14 NODE 2 --> 0.846794605 sigma out 1act.( 2.09270334 sig in 10act.) RANK 15 NODE 8 --> 0.563083291 sigma out 1act.( 2.14204288 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 32.6223488 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.556712508 *** contribution from regularisation: 0.00668353587 *** contribution from error: -0.563396037 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done