NNInput NNInputs_190.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= 10553 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 = 1786 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 1786 Chosen entries: 1786 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.203718 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 1786 Entries to split: 1786 Test with : 893 Train with : 893 ********************************************* * 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= 1786 for Signal Prepared event 0 for Signal with 1786 events ====Entry 0 Variable Ht : 164.033 Variable LepAPt : 20.0646 Variable LepBPt : 18.6389 Variable MetSigLeptonsJets : 6.96649 Variable MetSpec : 68.1982 Variable SumEtLeptonsJets : 95.8338 Variable VSumJetLeptonsPt : 84.1337 Variable addEt : 106.903 Variable dPhiLepSumMet : 2.65696 Variable dPhiLeptons : 0.471814 Variable dRLeptons : 0.543149 Variable lep1_E : 20.1541 Variable lep2_E : 18.9253 ===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 = 2190 Ht = 164.033 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.0651 LepAPt = 20.0646 LepBEt = 18.6394 LepBPt = 18.6389 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 68.1982 MetDelPhi = 2.4122 MetSig = 5.50681 MetSigLeptonsJets = 6.96649 MetSpec = 68.1982 Mjj = 0 MostCentralJetEta = -1.38092 MtllMet = 107.269 Njets = 1 SB = 0 SumEt = 153.372 SumEtJets = 0 SumEtLeptonsJets = 95.8338 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 84.1337 addEt = 106.903 dPhiLepSumMet = 2.65696 dPhiLeptons = 0.471814 dRLeptons = 0.543149 diltype = 41 dimass = 10.4421 event = 86 jet1_Et = 57.1302 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 20.1541 lep2_E = 18.9253 rand = 0.999742 run = 228406 weight = 1.62738e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 2.2512 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 290 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 10553 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 290 negative weights. Signal fraction: 71.5924759 % ------------------------------ 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 57.7347679 67.2538223 67.6443329 69.1178436 72.462883 75.5675964 78.8032761 80.6175537 82.185524 82.689003 82.693634 84.2311401 84.5325241 86.196991 87.9044571 88.5231094 89.230957 89.2848206 90.0864334 91.1165543 91.4097443 91.5973053 91.9643707 92.4526672 93.9700775 95.1958618 95.2896957 95.6023483 96.6283722 96.9394836 97.2795334 99.242012 100.58223 101.540909 102.210052 104.791283 106.655045 108.233078 109.199554 110.176392 111.283478 112.143463 112.710785 114.467865 116.249146 116.264908 117.563461 119.350327 120.798294 122.151871 123.507484 125.055473 125.23439 125.895424 126.628555 127.425064 128.378754 128.543884 130.299896 131.731049 133.463745 134.701645 136.110107 137.032471 138.223969 139.378891 140.597961 142.174026 143.483643 145.700577 147.506989 149.64975 152.690308 154.123596 156.173187 156.272675 157.429367 161.448227 163.585068 166.074188 169.024567 171.186325 173.401886 175.530762 178.033951 181.037201 183.642609 186.139099 191.389557 194.344238 198.180756 202.400696 210.63205 216.517212 221.659729 227.994568 239.296143 250.715485 267.804504 287.645325 530.403442 ------------------------------ Transdef: Tab for variable 3 20.0047188 20.4545612 20.8286591 21.4084015 21.5790234 21.7339592 22.0090294 22.027401 22.302021 22.6169834 22.8598576 22.992384 23.314846 23.4588108 23.739624 24.1781883 24.4667587 24.8719101 25.1099586 25.1248226 25.4284077 25.6945629 26.102726 26.4293518 26.5993195 26.6353779 26.9523506 26.9920444 27.3560314 27.6185589 27.637104 27.8315048 28.0375214 28.1531639 28.4374084 28.5564957 28.7140732 28.9535332 29.1377583 29.4205399 29.683979 30.1452827 30.4097481 30.7428169 31.0000381 31.0442791 31.3821716 31.4201107 31.5984478 31.9126415 31.9678535 32.1179886 32.1206169 32.4443245 32.891552 33.1635361 33.4680328 33.7385254 34.0021973 34.2934418 34.5286636 34.8319855 35.137413 35.634613 36.0342407 36.4721756 36.9112396 37.2099037 37.7182503 38.0939598 38.1227226 38.5166969 39.1835785 39.7567024 39.9828491 40.1156654 40.4598846 40.5933228 41.1227264 41.7143936 41.7145729 42.2639847 42.9427032 43.5870094 44.2213287 45.0214386 45.8497124 46.2058487 47.0714951 48.0729904 49.0602646 50.0295258 50.7548256 51.7531662 54.3950882 55.9616089 59.286911 64.109436 65.2492065 67.453392 100.021675 ------------------------------ Transdef: Tab for variable 4 10.0041599 10.1157455 10.2837486 10.4566898 10.4605083 10.5897751 10.7037029 10.8840809 10.8855381 10.9954147 11.2663708 11.4648695 11.6857738 11.7535744 11.7535753 11.8893375 12.1363916 12.3537045 12.5790195 12.8196812 12.953721 13.3143234 13.3587666 13.4929752 13.6382656 13.802763 13.9474621 14.1804562 14.2084389 14.3785744 14.4359169 14.5794859 14.8391399 15.0029793 15.2062778 15.2879429 15.3665638 15.4487724 15.6758213 15.853241 15.9358158 16.1860752 16.4379253 16.5662251 16.5909157 16.7316933 16.8229523 17.2343807 17.4490108 17.6978951 17.9208527 18.1923084 18.4233017 18.4934635 18.7535229 18.7537308 18.9950638 19.3361778 19.4993973 19.8463879 20.0083923 20.1336536 20.3274918 20.4093208 20.4899712 20.6133308 20.8021545 21.1246872 21.3014088 21.4784451 21.6803226 21.9015503 22.1769485 22.3274536 22.6048965 22.8553772 22.9869537 23.3652496 23.5949135 23.9245262 24.1358223 24.2928944 24.6316776 25.0377579 25.3836288 25.6601181 25.8717785 26.0223045 26.2786388 26.743742 27.0082073 27.7500801 28.1929703 28.5608044 29.1761055 29.5864525 30.2687168 30.9553757 31.5926075 33.0892677 36.4856682 ------------------------------ Transdef: Tab for variable 5 2.3146708 3.14968753 3.25259066 3.46665525 3.78616571 3.80153084 3.97749472 4.18255711 4.20926857 4.34382629 4.59280729 4.59592724 4.70313358 4.73813915 4.75932884 4.90844202 5.00850964 5.11252403 5.25381136 5.37051678 5.48147869 5.63048267 5.72831059 5.81955433 5.89726448 6.0141573 6.01416779 6.10445309 6.1045928 6.17860031 6.25434017 6.27606916 6.33437347 6.42514992 6.487432 6.52897692 6.60031271 6.65194321 6.67450714 6.72960424 6.72962332 6.78955555 6.84317493 6.90868139 6.96646309 6.96656656 6.96722126 7.04352379 7.09486103 7.16651154 7.173491 7.24048233 7.2769084 7.29627275 7.33359814 7.38015127 7.42647791 7.43074179 7.47641182 7.50107574 7.53504992 7.57020473 7.62017298 7.68395424 7.69033718 7.74730206 7.81535149 7.87790966 7.93480396 7.97601223 8.05391693 8.10142231 8.15202904 8.20820236 8.25443554 8.30065155 8.34707355 8.40620804 8.44345665 8.50270844 8.56025696 8.63668633 8.72870827 8.73409176 8.78154469 8.84886742 8.93002129 9.00204659 9.11673546 9.18293476 9.2779541 9.38382912 9.6004982 9.7093792 9.85736847 10.0162067 10.2995663 10.6358404 10.9459152 11.9862518 14.4193249 ------------------------------ Transdef: Tab for variable 6 25.0152855 26.5969238 27.0051575 28.0564079 28.7893105 29.8409691 31.4451408 32.6016617 32.9484024 33.5207367 34.3633652 34.7846985 34.8410492 35.4137878 35.9962845 36.4730339 36.4921379 37.0843811 37.8674431 38.3850479 39.2571487 39.5177002 39.7153702 40.2058716 40.7389336 41.3264313 42.209774 42.8554878 42.9127121 43.7574959 44.4931717 45.3324203 45.9562988 46.5205612 46.8080521 46.8174171 47.4989929 47.5406532 48.118927 48.1771812 48.8810883 48.9512329 49.7614517 50.419838 50.4699631 50.9618378 51.1555634 51.9974823 52.9059143 53.6884918 54.3327827 54.7687988 55.6236038 56.2398186 56.8943939 56.8960762 57.4770203 58.2288399 58.8987427 59.5542068 60.2733192 60.8605232 61.4943314 62.3963203 63.0186577 63.6380768 64.5246353 65.3091125 65.9983673 66.5459976 67.1893158 67.3754578 68.181366 68.6995392 69.5271301 70.2164841 71.2038345 72.2281494 73.2259979 74.3873901 75.6320648 76.4791412 77.5240479 77.643425 79.8042145 81.1035995 82.2133942 83.5034637 84.4096985 85.6571655 86.9572754 89.3455505 91.3748627 94.4109192 98.173851 101.03949 104.335091 110.456055 119.351196 129.524628 193.358276 ------------------------------ Transdef: Tab for variable 7 30.3449535 32.4685631 32.9022598 35.468811 36.8882751 38.0072556 38.953064 40.4010201 40.4356537 40.8030548 40.978508 41.4899597 41.6123581 41.9142227 43.0867233 43.1633568 43.4916306 43.6346054 44.4544983 44.5908508 45.1450043 45.1774521 45.4478455 45.9886208 46.7420807 47.2877159 48.7220154 49.4519272 50.354805 50.5618019 51.6363182 52.2895126 52.9422226 54.17836 54.6444855 55.9618683 56.4298096 57.1873512 58.064846 58.7891998 58.7927399 59.6548309 60.1555557 60.3337555 61.3168716 61.4606819 62.2255402 63.1984367 63.8029938 64.5050278 65.4659348 66.1228256 66.8720169 67.8139648 68.7498016 69.3817978 70.4806366 71.2359314 71.466156 71.7617188 72.2852631 73.2877655 73.3488846 74.3634338 75.4860535 76.4846497 78.150322 78.7711182 79.0002594 81.0630188 81.9600067 82.2256317 83.704361 85.1296844 86.733429 88.3522949 90.3579102 91.6279602 93.7187729 93.8892975 96.5818634 98.4996338 100.252205 101.831039 104.041489 106.260773 108.53923 110.557251 113.211945 115.425591 119.373589 121.69001 124.281372 127.207886 132.268631 136.379272 141.55928 149.872131 164.23735 173.431747 302.327393 ------------------------------ Transdef: Tab for variable 8 14.098815 27.7768898 28.3106499 29.4333763 29.702446 30.1748238 31.1037273 32.5939941 33.392704 33.894413 34.0553284 35.1966476 36.1846161 36.8151245 37.550518 38.0108376 38.5784378 38.5896683 39.3394547 39.9672279 40.4264297 40.5914383 41.070385 41.3064079 41.4516487 41.8176498 42.0410767 42.5634537 42.6449356 43.1777077 43.1811829 43.6843719 43.6934357 44.2292175 44.5628052 45.1755257 45.1961823 45.8450241 46.6391907 47.2813873 48.0053406 48.4486237 48.7203751 49.2048569 49.3252411 49.3471298 49.7465591 50.2451477 50.8915176 51.5815735 52.3174896 52.7933197 53.3647919 53.8895874 54.786705 55.315033 55.8381195 56.6890717 57.4639282 58.1010284 58.7514381 59.281311 59.8246117 60.549881 61.2778702 61.9628677 62.6618652 63.2654419 63.7764397 65.0388794 65.563797 65.8691177 66.5615082 67.2498932 67.891716 68.3621216 68.9194412 69.8071442 70.7309647 71.6786728 72.4981079 74.193161 75.0499115 76.2229614 77.9615631 78.5627365 78.8008423 80.2524109 81.3572235 83.8886414 85.5037079 88.1967545 89.6565704 92.9499969 96.2976685 101.130783 105.757385 109.864441 118.673126 129.839691 236.82872 ------------------------------ Transdef: Tab for variable 9 56.5870285 66.8488464 67.2452393 68.6016235 69.7727814 71.9299393 74.2055359 75.2165527 76.5799103 78.6692429 78.892868 79.7675934 79.7772141 81.6091461 82.2316513 82.689003 82.693634 84.2336273 84.5345917 84.7341461 85.6989746 87.2642136 88.5262909 88.937149 89.2848206 89.4255295 89.6513519 89.9878693 90.0858612 91.1165543 91.1190948 91.614418 91.9643707 92.0170822 92.8553314 93.6416626 94.7074738 95.4168091 95.6023483 96.9424744 98.8427963 99.512764 100.848213 101.540909 101.763023 103.188171 104.839828 106.530273 108.184372 109.065277 109.070404 109.804565 110.864349 111.484131 112.126976 112.704346 113.80378 114.595993 115.93782 117.327072 118.212219 119.359085 120.370972 121.265793 122.489594 123.273392 123.955063 125.305504 126.019028 126.80545 127.880806 129.263794 130.060928 131.562622 133.438385 134.896851 135.848694 136.495987 137.204376 138.382309 139.079971 139.875809 141.71936 143.102051 143.970062 145.532593 146.879883 148.135452 150.712189 152.369583 153.992798 155.993469 156.297913 158.857147 161.116547 163.72905 168.765869 175.704987 182.93248 192.228134 273.838074 ------------------------------ Transdef: Tab for variable 10 0.185332328 1.06638145 1.47904849 1.73514533 1.80201936 1.88575613 1.97473955 2.03080416 2.1308713 2.19051981 2.22892952 2.23921037 2.29554605 2.32654905 2.34468746 2.37267327 2.39893985 2.43118858 2.44305038 2.45887613 2.47936869 2.48633862 2.51428556 2.54101896 2.56389213 2.58664036 2.61552715 2.61805105 2.64356327 2.67314243 2.68856502 2.70337772 2.72841072 2.75413823 2.77325964 2.77609468 2.77890706 2.78993988 2.80649996 2.8204062 2.83317423 2.83991051 2.84122705 2.85686493 2.86537838 2.86720824 2.8705039 2.88548207 2.90381742 2.91407394 2.92205858 2.93175983 2.94391298 2.9506588 2.96252632 2.96935749 2.97759509 2.98397803 2.98908472 2.98914075 2.99681807 3.00434923 3.01109362 3.01463771 3.01467443 3.01993394 3.02517295 3.0289886 3.0353241 3.0420897 3.04216051 3.0466001 3.05388641 3.05833697 3.06285381 3.06544518 3.06649232 3.0703702 3.07373714 3.07999182 3.08407784 3.08803892 3.09343195 3.09660625 3.09667444 3.09918356 3.10203886 3.10525894 3.10548711 3.10971928 3.11002111 3.11437225 3.11706352 3.11928368 3.12455368 3.12889004 3.12907743 3.1328094 3.13431263 3.13723373 3.14155698 ------------------------------ Transdef: Tab for variable 11 0.000272750854 0.015111208 0.0236436129 0.0303472281 0.0451136827 0.0655076504 0.0756571293 0.0837043524 0.0907843113 0.0975279808 0.100896239 0.111605108 0.125016451 0.13092798 0.137175471 0.142006934 0.147816956 0.154146671 0.154674351 0.160492659 0.171730042 0.175051108 0.179631233 0.181824446 0.19005622 0.201850414 0.208353281 0.212193966 0.220495701 0.22807467 0.238648415 0.244734287 0.24578011 0.254404515 0.264431119 0.268706053 0.268768728 0.275674731 0.28358674 0.292242229 0.298962235 0.306610465 0.315363526 0.324358612 0.328515172 0.331520796 0.338078022 0.345152974 0.34648788 0.350838542 0.351733208 0.355584025 0.362973809 0.373413742 0.379161239 0.384949237 0.387207896 0.392075717 0.395555437 0.400733531 0.403277785 0.407529831 0.412672281 0.417891324 0.424659789 0.429212928 0.434596062 0.440041542 0.445416272 0.449537754 0.458988219 0.463858664 0.46729207 0.473125577 0.47833395 0.489623517 0.498468757 0.509202182 0.516227782 0.523597717 0.523607016 0.530173302 0.534280419 0.540759146 0.544818282 0.551190078 0.55371213 0.567325711 0.579617441 0.579801857 0.590509892 0.606914103 0.633352101 0.653580666 0.672629535 0.712049007 0.712296069 0.755874872 0.843149006 0.883980572 1.11657131 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.211730883 0.245880023 0.285422295 0.32509619 0.360201359 0.398936868 0.404063702 0.405819297 0.407925785 0.40981251 0.411821842 0.415256441 0.417546988 0.419490099 0.420411885 0.421987116 0.425736338 0.428578556 0.430025399 0.430046707 0.432837188 0.435645282 0.437844574 0.439840227 0.442904472 0.444306254 0.447950542 0.450524926 0.453629136 0.457052529 0.459367633 0.462022662 0.465343773 0.468258679 0.471670032 0.47178936 0.475099564 0.476915121 0.479718894 0.483292997 0.486008465 0.487546861 0.490789264 0.493310094 0.49598825 0.500440598 0.503079116 0.506741405 0.509454191 0.513302922 0.515910327 0.51870662 0.522664905 0.52367115 0.524696708 0.526421964 0.53129518 0.537539721 0.543859482 0.548072338 0.54926008 0.550702333 0.553266346 0.558048368 0.562072694 0.567432523 0.569998622 0.576850772 0.584445953 0.591832697 0.593857527 0.597090304 0.605346978 0.61059314 0.61607039 0.62020278 0.623882055 0.632814169 0.640128791 0.649660826 0.66381073 0.673123837 0.678399205 0.684596419 0.692968845 0.694155693 0.702588677 0.702665389 0.714377999 0.715585589 0.738483906 0.748844862 0.756632209 0.769337058 0.796720982 0.817985296 0.872148991 0.92945683 0.992606878 1.13453126 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.5821266 22.1019554 22.8768921 23.0090599 23.5688858 24.2543011 24.5019512 24.9818726 25.1586094 25.500782 25.8574562 26.4723854 27.017868 27.0204849 27.359623 27.3616676 27.7510681 28.0830994 28.4526443 28.8645916 28.9218311 29.2508755 29.6069069 29.7960281 29.9806786 30.3943272 30.5843163 30.9554482 31.2540245 31.6873207 32.0194702 32.3519287 32.365303 32.6629333 32.8670654 33.0800171 33.2201881 33.6098099 33.8044357 33.9126434 34.3130608 34.4423447 34.5438995 34.725296 34.9134369 35.1874542 35.6790276 36.0791626 36.3302193 36.3907013 36.8216858 37.1844215 37.386116 38.0088844 38.4678574 38.836441 39.1427689 39.7089767 40.2121506 40.657341 41.0618362 41.1977158 41.6881714 42.0776329 42.8392715 43.3102112 43.5500336 43.8293152 44.5037308 45.1293373 45.8376541 46.4375687 46.9497604 47.090416 47.934433 48.5229492 49.5267639 50.3453903 51.0975609 51.9232368 52.9818954 53.6570053 54.5424423 54.9330978 55.1982346 55.2203217 55.8458405 56.7681274 58.4269257 59.6898766 61.808342 63.2768478 65.5166779 67.5606995 69.4198532 70.1242371 72.7284851 78.1488266 85.6615829 110.77681 ------------------------------ Transdef: Tab for variable 14 10.0455751 10.5332317 10.7234955 10.8601952 11.2472019 11.5592871 11.8793888 12.3014278 12.6594057 12.6787701 12.876215 13.2051907 13.2069969 13.5400276 13.6247425 13.736618 14.1274357 14.4450798 14.5075417 14.9157743 15.051919 15.2371197 15.3991013 15.5962296 16.2595196 16.5564537 16.5989437 16.8760185 16.9254723 17.5440788 17.911581 18.4177666 18.764946 18.9223118 19.0808849 19.0912533 19.2108593 19.3125153 19.6730099 20.0902176 20.308918 20.5238152 20.7397137 20.9657249 21.1622581 21.1968136 21.3212395 21.3218918 21.6329651 21.8690052 22.1726284 22.3856506 22.6507034 22.9111767 23.0928192 23.3990173 23.6275215 23.7055397 23.9183006 24.2493153 24.6263618 25.0543976 25.2969875 25.6028404 25.7931156 25.9949608 26.2505989 26.5035706 26.7950706 27.0301132 27.3880692 27.6258545 27.905323 28.2187958 28.6078167 28.8825607 29.1451416 29.5149879 29.8508835 30.2639847 30.3075333 30.5676041 30.9551163 31.3451519 31.9269371 32.5501633 33.2290344 33.97686 33.9868622 34.4514999 35.1651001 36.001709 36.0747032 36.6180267 38.1770859 39.1933861 40.2134171 41.3795013 43.095665 48.9581718 65.4020844 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 43.1 15.6 32.2 27.6 38.2 38.1 42.7 41.5 -13.1 -7.9 -0.8 12.2 19.4 2 43.1 100.0 51.6 33.1 43.5 72.8 93.8 75.5 88.0 -38.6 -23.4 -28.7 45.5 21.9 3 15.6 51.6 100.0 11.6 14.8 32.6 51.7 42.7 64.2 6.4 -20.7 -36.8 88.5 4.2 4 32.2 33.1 11.6 100.0 16.5 27.5 31.2 34.5 40.4 3.1 -29.0 -45.6 15.2 81.1 5 27.6 43.5 14.8 16.5 100.0 86.3 12.0 63.2 69.6 25.5 -2.8 5.3 8.4 6.7 6 38.2 72.8 32.6 27.5 86.3 100.0 48.6 83.0 86.3 1.4 -10.3 -6.7 25.3 16.3 7 38.1 93.8 51.7 31.2 12.0 48.6 100.0 62.4 71.8 -51.3 -25.3 -34.3 47.3 22.1 8 42.7 75.5 42.7 34.5 63.2 83.0 62.4 100.0 84.2 -2.9 -18.0 -19.7 33.6 18.7 9 41.5 88.0 64.2 40.4 69.6 86.3 71.8 84.2 100.0 -4.6 -21.5 -28.1 55.9 26.2 10 -13.1 -38.6 6.4 3.1 25.5 1.4 -51.3 -2.9 -4.6 100.0 4.1 5.8 3.8 -1.4 11 -7.9 -23.4 -20.7 -29.0 -2.8 -10.3 -25.3 -18.0 -21.5 4.1 100.0 51.9 -20.3 -27.3 12 -0.8 -28.7 -36.8 -45.6 5.3 -6.7 -34.3 -19.7 -28.1 5.8 51.9 100.0 -36.6 -35.6 13 12.2 45.5 88.5 15.2 8.4 25.3 47.3 33.6 55.9 3.8 -20.3 -36.6 100.0 23.5 14 19.4 21.9 4.2 81.1 6.7 16.3 22.1 18.7 26.2 -1.4 -27.3 -35.6 23.5 100.0 TOTAL CORRELATION TO TARGET (diagonal) 105.432706 TOTAL CORRELATION OF ALL VARIABLES 54.5717474 ROUND 1: MAX CORR ( 54.5468104) AFTER KILLING INPUT VARIABLE 7 CONTR 1.64957126 ROUND 2: MAX CORR ( 54.4894233) AFTER KILLING INPUT VARIABLE 13 CONTR 2.50145551 ROUND 3: MAX CORR ( 54.4221869) AFTER KILLING INPUT VARIABLE 11 CONTR 2.70607058 ROUND 4: MAX CORR ( 54.2354625) AFTER KILLING INPUT VARIABLE 10 CONTR 4.50433582 ROUND 5: MAX CORR ( 54.0332811) AFTER KILLING INPUT VARIABLE 6 CONTR 4.67866683 ROUND 6: MAX CORR ( 53.6206317) AFTER KILLING INPUT VARIABLE 14 CONTR 6.66508227 ROUND 7: MAX CORR ( 53.103247) AFTER KILLING INPUT VARIABLE 3 CONTR 7.43083455 ROUND 8: MAX CORR ( 53.0256999) AFTER KILLING INPUT VARIABLE 5 CONTR 2.86879676 ROUND 9: MAX CORR ( 52.8147464) AFTER KILLING INPUT VARIABLE 9 CONTR 4.72518845 ROUND 10: MAX CORR ( 51.7459445) AFTER KILLING INPUT VARIABLE 8 CONTR 10.5714082 ROUND 11: MAX CORR ( 47.1052035) AFTER KILLING INPUT VARIABLE 12 CONTR 21.4182767 ROUND 12: MAX CORR ( 43.0917384) AFTER KILLING INPUT VARIABLE 4 CONTR 19.0263573 LAST REMAINING VARIABLE: 2 total correlation to target: 54.5717474 % total significance: 19.0673306 sigma correlations of single variables to target: variable 2: 43.0917384 % , in sigma: 15.0562235 variable 3: 15.5514371 % , in sigma: 5.43366132 variable 4: 32.2105513 % , in sigma: 11.2543442 variable 5: 27.6347751 % , in sigma: 9.65557121 variable 6: 38.2416834 % , in sigma: 13.3616176 variable 7: 38.1232669 % , in sigma: 13.320243 variable 8: 42.6725998 % , in sigma: 14.9097767 variable 9: 41.4768719 % , in sigma: 14.4919902 variable 10: -13.137331 % , in sigma: 4.59017432 variable 11: -7.9290885 % , in sigma: 2.77041801 variable 12: -0.811392719 % , in sigma: 0.283500052 variable 13: 12.1680391 % , in sigma: 4.2515044 variable 14: 19.3607602 % , in sigma: 6.76463617 variables sorted by significance: 1 most relevant variable 2 corr 43.0917397 , in sigma: 15.0562239 2 most relevant variable 4 corr 19.0263577 , in sigma: 6.64779614 3 most relevant variable 12 corr 21.4182758 , in sigma: 7.48353069 4 most relevant variable 8 corr 10.5714083 , in sigma: 3.6936427 5 most relevant variable 9 corr 4.72518826 , in sigma: 1.65097749 6 most relevant variable 5 corr 2.86879683 , in sigma: 1.00235562 7 most relevant variable 3 corr 7.43083477 , in sigma: 2.5963285 8 most relevant variable 14 corr 6.66508245 , in sigma: 2.32877518 9 most relevant variable 6 corr 4.67866659 , in sigma: 1.63472285 10 most relevant variable 10 corr 4.50433588 , in sigma: 1.57381183 11 most relevant variable 11 corr 2.70607066 , in sigma: 0.945499208 12 most relevant variable 13 corr 2.50145555 , in sigma: 0.874006829 13 most relevant variable 7 corr 1.6495713 , in sigma: 0.576359065 global correlations between input variables: variable 2: 99.4576738 % variable 3: 95.5149733 % variable 4: 90.0666406 % variable 5: 97.3005763 % variable 6: 96.0818595 % variable 7: 99.2326744 % variable 8: 90.320289 % variable 9: 99.0028654 % variable 10: 74.5410242 % variable 11: 54.6094025 % variable 12: 68.5754529 % variable 13: 92.7961291 % variable 14: 88.5057605 % significance loss when removing single variables: variable 2: corr = 3.92728714 % , sigma = 1.3721914 variable 3: corr = 3.7656857 % , sigma = 1.31572797 variable 4: corr = 21.2061687 % , sigma = 7.4094206 variable 5: corr = 8.33922166 % , sigma = 2.91371825 variable 6: corr = 4.13874384 % , sigma = 1.44607422 variable 7: corr = 1.64957126 % , sigma = 0.576359053 variable 8: corr = 10.9030284 % , sigma = 3.80951054 variable 9: corr = 7.88834341 % , sigma = 2.7561817 variable 10: corr = 4.48813394 % , sigma = 1.56815088 variable 11: corr = 2.87380889 % , sigma = 1.00410683 variable 12: corr = 19.7130131 % , sigma = 6.88771306 variable 13: corr = 2.42641346 % , sigma = 0.847787176 variable 14: corr = 6.9549809 % , sigma = 2.43006549 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 6.443326 sigma out 15 active outputs RANK 2 NODE 2 --> 4.36220837 sigma out 15 active outputs RANK 3 NODE 3 --> 3.99451971 sigma out 15 active outputs RANK 4 NODE 4 --> 3.12619567 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 5.37972021 sigma in 4act. ( 6.34283543 sig out 1act.) RANK 2 NODE 11 --> 2.95860505 sigma in 4act. ( 3.49960136 sig out 1act.) RANK 3 NODE 8 --> 2.86707902 sigma in 4act. ( 3.70125628 sig out 1act.) RANK 4 NODE 12 --> 2.86654949 sigma in 4act. ( 3.11681414 sig out 1act.) RANK 5 NODE 13 --> 2.68610668 sigma in 4act. ( 3.15132523 sig out 1act.) RANK 6 NODE 2 --> 2.49878645 sigma in 4act. ( 2.83121252 sig out 1act.) RANK 7 NODE 7 --> 1.9847796 sigma in 4act. ( 1.8331089 sig out 1act.) RANK 8 NODE 9 --> 1.87267601 sigma in 4act. ( 2.04699516 sig out 1act.) RANK 9 NODE 1 --> 1.80168426 sigma in 4act. ( 1.9938457 sig out 1act.) RANK 10 NODE 14 --> 1.46981299 sigma in 4act. ( 1.41664803 sig out 1act.) RANK 11 NODE 5 --> 1.38836205 sigma in 4act. ( 1.38184059 sig out 1act.) RANK 12 NODE 10 --> 1.28358996 sigma in 4act. ( 1.42376971 sig out 1act.) RANK 13 NODE 3 --> 1.12065554 sigma in 4act. ( 1.16905963 sig out 1act.) RANK 14 NODE 6 --> 0.833465219 sigma in 4act. ( 0.445834011 sig out 1act.) RANK 15 NODE 4 --> 0.552406967 sigma in 4act. ( 0.473762959 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 6.34283543 sigma out 1act.( 5.37972021 sig in 4act.) RANK 2 NODE 8 --> 3.70125628 sigma out 1act.( 2.86707902 sig in 4act.) RANK 3 NODE 11 --> 3.49960136 sigma out 1act.( 2.95860505 sig in 4act.) RANK 4 NODE 13 --> 3.15132523 sigma out 1act.( 2.68610668 sig in 4act.) RANK 5 NODE 12 --> 3.11681414 sigma out 1act.( 2.86654949 sig in 4act.) RANK 6 NODE 2 --> 2.83121252 sigma out 1act.( 2.49878645 sig in 4act.) RANK 7 NODE 9 --> 2.04699516 sigma out 1act.( 1.87267601 sig in 4act.) RANK 8 NODE 1 --> 1.9938457 sigma out 1act.( 1.80168426 sig in 4act.) RANK 9 NODE 7 --> 1.8331089 sigma out 1act.( 1.9847796 sig in 4act.) RANK 10 NODE 10 --> 1.42376971 sigma out 1act.( 1.28358996 sig in 4act.) RANK 11 NODE 14 --> 1.41664803 sigma out 1act.( 1.46981299 sig in 4act.) RANK 12 NODE 5 --> 1.38184059 sigma out 1act.( 1.38836205 sig in 4act.) RANK 13 NODE 3 --> 1.16905963 sigma out 1act.( 1.12065554 sig in 4act.) RANK 14 NODE 4 --> 0.473762959 sigma out 1act.( 0.552406967 sig in 4act.) RANK 15 NODE 6 --> 0.445834011 sigma out 1act.( 0.833465219 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.634779 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 10.4184122 sigma out 15 active outputs RANK 2 NODE 3 --> 6.89193964 sigma out 15 active outputs RANK 3 NODE 2 --> 5.78008938 sigma out 15 active outputs RANK 4 NODE 4 --> 5.38388014 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 5.62748194 sigma in 4act. ( 3.93053627 sig out 1act.) RANK 2 NODE 3 --> 5.40569973 sigma in 4act. ( 4.10007334 sig out 1act.) RANK 3 NODE 8 --> 5.38660574 sigma in 4act. ( 5.43634319 sig out 1act.) RANK 4 NODE 6 --> 5.26686049 sigma in 4act. ( 3.10514855 sig out 1act.) RANK 5 NODE 10 --> 4.28240585 sigma in 4act. ( 2.64037824 sig out 1act.) RANK 6 NODE 1 --> 4.25187397 sigma in 4act. ( 3.66823101 sig out 1act.) RANK 7 NODE 9 --> 3.93918729 sigma in 4act. ( 2.28945398 sig out 1act.) RANK 8 NODE 15 --> 3.28625178 sigma in 4act. ( 3.72371268 sig out 1act.) RANK 9 NODE 12 --> 3.25990939 sigma in 4act. ( 2.43803573 sig out 1act.) RANK 10 NODE 4 --> 3.15386772 sigma in 4act. ( 1.61913538 sig out 1act.) RANK 11 NODE 2 --> 3.08483553 sigma in 4act. ( 2.52417588 sig out 1act.) RANK 12 NODE 13 --> 2.213691 sigma in 4act. ( 2.4951961 sig out 1act.) RANK 13 NODE 7 --> 1.36782598 sigma in 4act. ( 0.617606103 sig out 1act.) RANK 14 NODE 14 --> 1.07603538 sigma in 4act. ( 0.442543119 sig out 1act.) RANK 15 NODE 5 --> 0.197103053 sigma in 4act. ( 0.246837974 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 5.43634319 sigma out 1act.( 5.38660574 sig in 4act.) RANK 2 NODE 3 --> 4.10007334 sigma out 1act.( 5.40569973 sig in 4act.) RANK 3 NODE 11 --> 3.93053627 sigma out 1act.( 5.62748194 sig in 4act.) RANK 4 NODE 15 --> 3.72371268 sigma out 1act.( 3.28625178 sig in 4act.) RANK 5 NODE 1 --> 3.66823101 sigma out 1act.( 4.25187397 sig in 4act.) RANK 6 NODE 6 --> 3.10514855 sigma out 1act.( 5.26686049 sig in 4act.) RANK 7 NODE 10 --> 2.64037824 sigma out 1act.( 4.28240585 sig in 4act.) RANK 8 NODE 2 --> 2.52417588 sigma out 1act.( 3.08483553 sig in 4act.) RANK 9 NODE 13 --> 2.4951961 sigma out 1act.( 2.213691 sig in 4act.) RANK 10 NODE 12 --> 2.43803573 sigma out 1act.( 3.25990939 sig in 4act.) RANK 11 NODE 9 --> 2.28945398 sigma out 1act.( 3.93918729 sig in 4act.) RANK 12 NODE 4 --> 1.61913538 sigma out 1act.( 3.15386772 sig in 4act.) RANK 13 NODE 7 --> 0.617606103 sigma out 1act.( 1.36782598 sig in 4act.) RANK 14 NODE 14 --> 0.442543119 sigma out 1act.( 1.07603538 sig in 4act.) RANK 15 NODE 5 --> 0.246837974 sigma out 1act.( 0.197103053 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.5235386 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.508406878 *** contribution from regularisation: 0.0208906978 *** contribution from error: -0.52929759 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.569997132 *** contribution from regularisation: 0.0076329764 *** contribution from error: -0.577630103 *********************************************** -----------------> Test sample ENTER BFGS code START -3007.83254 0.266274571 0.125138327 EXIT FROM BFGS code FG_START 0. 0.266274571 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.577721059 *** contribution from regularisation: 0.00407807063 *** contribution from error: -0.58179915 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3048.05619 0.266274571 -0.947276711 EXIT FROM BFGS code FG_LNSRCH 0. 0.23348698 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.582086921 *** contribution from regularisation: 0.00741030416 *** contribution from error: -0.589497209 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3071.09067 0.23348698 -0.12751402 EXIT FROM BFGS code NEW_X -3071.09067 0.23348698 -0.12751402 ENTER BFGS code NEW_X -3071.09067 0.23348698 -0.12751402 EXIT FROM BFGS code FG_LNSRCH 0. 0.234853357 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.582146883 *** contribution from regularisation: 0.00659120129 *** contribution from error: -0.588738084 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3071.40708 0.234853357 -0.671315551 EXIT FROM BFGS code NEW_X -3071.40708 0.234853357 -0.671315551 ENTER BFGS code NEW_X -3071.40708 0.234853357 -0.671315551 EXIT FROM BFGS code FG_LNSRCH 0. 0.217601642 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.581521392 *** contribution from regularisation: 0.00590340514 *** contribution from error: -0.587424815 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3068.10677 0.217601642 0.782008708 EXIT FROM BFGS code FG_LNSRCH 0. 0.232629046 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.579875231 *** contribution from regularisation: 0.00874390639 *** contribution from error: -0.588619113 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3059.42185 0.232629046 -0.214559615 EXIT FROM BFGS code FG_LNSRCH 0. 0.234831423 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.582408488 *** contribution from regularisation: 0.0063286419 *** contribution from error: -0.58873713 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3072.78718 0.234831423 -0.652270317 EXIT FROM BFGS code FG_LNSRCH 0. 0.234811261 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.581154406 *** contribution from regularisation: 0.00758175924 *** contribution from error: -0.588736176 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3066.1705 0.234811261 -0.633397758 EXIT FROM BFGS code FG_LNSRCH 0. 0.234831423 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 6.06889772 sigma out 15 active outputs RANK 2 NODE 4 --> 4.4684577 sigma out 15 active outputs RANK 3 NODE 2 --> 4.45760345 sigma out 15 active outputs RANK 4 NODE 3 --> 3.82658005 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 4.33842516 sigma in 4act. ( 3.18348122 sig out 1act.) RANK 2 NODE 3 --> 3.50298643 sigma in 4act. ( 2.32522368 sig out 1act.) RANK 3 NODE 11 --> 3.22600245 sigma in 4act. ( 1.89435101 sig out 1act.) RANK 4 NODE 1 --> 3.05781913 sigma in 4act. ( 2.16724873 sig out 1act.) RANK 5 NODE 10 --> 3.05764031 sigma in 4act. ( 1.90313148 sig out 1act.) RANK 6 NODE 6 --> 2.801121 sigma in 4act. ( 1.30865097 sig out 1act.) RANK 7 NODE 9 --> 2.66272712 sigma in 4act. ( 1.7794075 sig out 1act.) RANK 8 NODE 2 --> 2.06656456 sigma in 4act. ( 1.5820936 sig out 1act.) RANK 9 NODE 12 --> 2.00766754 sigma in 4act. ( 1.47184634 sig out 1act.) RANK 10 NODE 4 --> 1.95930839 sigma in 4act. ( 1.03752279 sig out 1act.) RANK 11 NODE 13 --> 1.32348442 sigma in 4act. ( 0.98768121 sig out 1act.) RANK 12 NODE 15 --> 1.19670713 sigma in 4act. ( 0.70556736 sig out 1act.) RANK 13 NODE 7 --> 0.721393228 sigma in 4act. ( 0.571122587 sig out 1act.) RANK 14 NODE 14 --> 0.562198937 sigma in 4act. ( 0.401751667 sig out 1act.) RANK 15 NODE 5 --> 0.123795167 sigma in 4act. ( 0.0883989111 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 3.18348122 sigma out 1act.( 4.33842516 sig in 4act.) RANK 2 NODE 3 --> 2.32522368 sigma out 1act.( 3.50298643 sig in 4act.) RANK 3 NODE 1 --> 2.16724873 sigma out 1act.( 3.05781913 sig in 4act.) RANK 4 NODE 10 --> 1.90313148 sigma out 1act.( 3.05764031 sig in 4act.) RANK 5 NODE 11 --> 1.89435101 sigma out 1act.( 3.22600245 sig in 4act.) RANK 6 NODE 9 --> 1.7794075 sigma out 1act.( 2.66272712 sig in 4act.) RANK 7 NODE 2 --> 1.5820936 sigma out 1act.( 2.06656456 sig in 4act.) RANK 8 NODE 12 --> 1.47184634 sigma out 1act.( 2.00766754 sig in 4act.) RANK 9 NODE 6 --> 1.30865097 sigma out 1act.( 2.801121 sig in 4act.) RANK 10 NODE 4 --> 1.03752279 sigma out 1act.( 1.95930839 sig in 4act.) RANK 11 NODE 13 --> 0.98768121 sigma out 1act.( 1.32348442 sig in 4act.) RANK 12 NODE 15 --> 0.70556736 sigma out 1act.( 1.19670713 sig in 4act.) RANK 13 NODE 7 --> 0.571122587 sigma out 1act.( 0.721393228 sig in 4act.) RANK 14 NODE 14 --> 0.401751667 sigma out 1act.( 0.562198937 sig in 4act.) RANK 15 NODE 5 --> 0.0883989111 sigma out 1act.( 0.123795167 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 6.32787943 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.581400275 *** contribution from regularisation: 0.00733686239 *** contribution from error: -0.58873713 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3067.46781 0.234831423 -0.720580876 EXIT FROM BFGS code FG_LNSRCH 0. 0.234831423 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.580955803 *** contribution from regularisation: 0.00778130908 *** contribution from error: -0.58873713 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3065.12291 0.234831423 -0.56181246 EXIT FROM BFGS code NEW_X -3065.12291 0.234831423 -0.56181246 ENTER BFGS code NEW_X -3065.12291 0.234831423 -0.56181246 EXIT FROM BFGS code CONVERGENC -3065.12291 0.234831423 -0.56181246 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 9.08092499 sigma out 15 active outputs RANK 2 NODE 2 --> 6.18197823 sigma out 15 active outputs RANK 3 NODE 4 --> 5.88691616 sigma out 15 active outputs RANK 4 NODE 3 --> 5.48188972 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 6.85875893 sigma in 4act. ( 4.89154816 sig out 1act.) RANK 2 NODE 3 --> 5.24762344 sigma in 4act. ( 3.86291528 sig out 1act.) RANK 3 NODE 1 --> 4.66298723 sigma in 4act. ( 3.20481801 sig out 1act.) RANK 4 NODE 11 --> 4.52256584 sigma in 4act. ( 3.20818591 sig out 1act.) RANK 5 NODE 10 --> 4.49238491 sigma in 4act. ( 2.97189832 sig out 1act.) RANK 6 NODE 9 --> 3.75478292 sigma in 4act. ( 2.65182638 sig out 1act.) RANK 7 NODE 6 --> 3.20416236 sigma in 4act. ( 2.36489749 sig out 1act.) RANK 8 NODE 2 --> 2.69619608 sigma in 4act. ( 2.07588315 sig out 1act.) RANK 9 NODE 12 --> 2.45392156 sigma in 4act. ( 2.1740911 sig out 1act.) RANK 10 NODE 4 --> 2.39883995 sigma in 4act. ( 1.65820312 sig out 1act.) RANK 11 NODE 13 --> 1.5712359 sigma in 4act. ( 1.27913988 sig out 1act.) RANK 12 NODE 15 --> 1.28059971 sigma in 4act. ( 1.01136351 sig out 1act.) RANK 13 NODE 7 --> 0.761165142 sigma in 4act. ( 0.67775774 sig out 1act.) RANK 14 NODE 14 --> 0.562229514 sigma in 4act. ( 0.430566192 sig out 1act.) RANK 15 NODE 5 --> 0.115630709 sigma in 4act. ( 0.0846020579 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 4.89154816 sigma out 1act.( 6.85875893 sig in 4act.) RANK 2 NODE 3 --> 3.86291528 sigma out 1act.( 5.24762344 sig in 4act.) RANK 3 NODE 11 --> 3.20818591 sigma out 1act.( 4.52256584 sig in 4act.) RANK 4 NODE 1 --> 3.20481801 sigma out 1act.( 4.66298723 sig in 4act.) RANK 5 NODE 10 --> 2.97189832 sigma out 1act.( 4.49238491 sig in 4act.) RANK 6 NODE 9 --> 2.65182638 sigma out 1act.( 3.75478292 sig in 4act.) RANK 7 NODE 6 --> 2.36489749 sigma out 1act.( 3.20416236 sig in 4act.) RANK 8 NODE 12 --> 2.1740911 sigma out 1act.( 2.45392156 sig in 4act.) RANK 9 NODE 2 --> 2.07588315 sigma out 1act.( 2.69619608 sig in 4act.) RANK 10 NODE 4 --> 1.65820312 sigma out 1act.( 2.39883995 sig in 4act.) RANK 11 NODE 13 --> 1.27913988 sigma out 1act.( 1.5712359 sig in 4act.) RANK 12 NODE 15 --> 1.01136351 sigma out 1act.( 1.28059971 sig in 4act.) RANK 13 NODE 7 --> 0.67775774 sigma out 1act.( 0.761165142 sig in 4act.) RANK 14 NODE 14 --> 0.430566192 sigma out 1act.( 0.562229514 sig in 4act.) RANK 15 NODE 5 --> 0.0846020579 sigma out 1act.( 0.115630709 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 9.79623985 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.582231641 *** contribution from regularisation: 0.00650550704 *** contribution from error: -0.58873713 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done