NNInput NNInputs_160.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= 17363 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 = 4532 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4532 Chosen entries: 4532 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.353207 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4532 Entries to split: 4532 Test with : 2266 Train with : 2266 ********************************************* * 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= 4532 for Signal Prepared event 0 for Signal with 4532 events ====Entry 0 Variable Ht : 95.5419 Variable LepAPt : 29.9824 Variable LepBPt : 20.5229 Variable MetSigLeptonsJets : 6.33714 Variable MetSpec : 45.0362 Variable SumEtLeptonsJets : 50.5053 Variable VSumJetLeptonsPt : 49.5476 Variable addEt : 95.5419 Variable dPhiLepSumMet : 3.1372 Variable dPhiLeptons : 0.39723 Variable dRLeptons : 0.572525 Variable lep1_E : 30.3018 Variable lep2_E : 23.8038 ===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 = 2160 Ht = 95.5419 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 29.9824 LepAPt = 29.9824 LepBEt = 20.5232 LepBPt = 20.5229 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 45.0362 MetDelPhi = 2.90969 MetSig = 3.00741 MetSigLeptonsJets = 6.33714 MetSpec = 45.0362 Mjj = 0 MostCentralJetEta = 0 MtllMet = 97.7681 Njets = 0 SB = 0 SumEt = 224.253 SumEtJets = 0 SumEtLeptonsJets = 50.5053 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 49.5476 addEt = 95.5419 dPhiLepSumMet = 3.1372 dPhiLeptons = 0.39723 dRLeptons = 0.572525 diltype = 54 dimass = 14.2112 event = 4613 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.3018 lep2_E = 23.8038 rand = 0.999742 run = 233650 weight = 3.35006e-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= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===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 = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 2.52129 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 405 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 17363 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 405 negative weights. Signal fraction: 72.2559662 % ------------------------------ 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 56.6901665 62.7009811 67.9774323 70.6952286 71.5465851 73.03582 75.2273178 76.3773804 76.9746552 77.3840942 78.958847 80.2640915 81.5533905 82.1891708 83.1961441 83.4156876 84.6586761 85.5274353 86.1928864 86.8760071 88.0014648 88.6497345 90.4809036 92.1329498 93.5628052 93.9829407 94.9686203 96.3211594 98.0019379 98.7559967 99.5370178 99.9872437 100.831467 101.627991 102.428337 103.670517 104.666 105.622467 106.337326 107.431801 108.355202 110.074188 111.507019 112.742668 113.729256 114.480263 115.258469 116.231415 117.993912 119.408806 120.704163 121.883224 122.954422 124.2005 125.277695 127.022827 128.0746 129.136688 130.100662 130.947968 132.088379 133.219025 134.350342 135.403534 136.766663 138.4487 139.713562 141.343201 142.500214 143.633667 145.08168 146.485001 147.934631 149.257263 150.64566 152.261322 154.488922 156.326904 158.355621 159.478149 161.083771 163.574799 166.727264 169.677078 172.148788 174.851959 178.097687 182.104095 185.603668 189.595139 196.60022 201.93988 207.809784 211.063431 216.462601 221.513672 235.832809 247.639923 271.929016 284.338379 665.529724 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.5603561 21.0332355 21.323864 21.4987011 21.6539536 21.8400688 22.2073212 22.5638542 22.6511993 22.802372 22.8330688 23.3244648 23.6050758 23.7601776 24.082056 24.639986 24.9038334 25.0983105 25.2512417 25.3228703 25.6059017 25.7425079 26.063694 26.3978195 26.7892761 27.0183945 27.1349373 27.2230568 27.4029408 27.7069263 27.9370155 28.2129421 28.371542 28.566515 28.6862183 28.7889175 29.0585594 29.336441 29.439415 29.6611919 29.6897316 29.7906418 29.9763069 30.1277618 30.42136 30.5242081 30.7481441 30.9947739 31.2609444 31.4373512 31.6714306 31.8186455 32.1171417 32.2830582 32.3343658 32.477356 32.6883049 32.8030739 33.0315399 33.1893997 33.5064278 33.6389313 33.7847061 34.0048904 34.2824173 34.5020409 34.7798233 35.0720291 35.3317108 35.5648422 35.9110413 36.086792 36.3976822 36.6155014 36.6821823 37.0867691 37.3194885 37.7502518 38.074604 38.303154 38.6847878 38.9866333 39.340126 39.6409073 40.0198555 40.548584 40.932991 41.2469864 41.7250023 42.2289314 42.7715149 43.4999657 44.515274 45.8527603 47.1572876 47.8448372 49.0847702 52.2444 61.2605057 109.76886 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1095009 10.2067051 10.3982401 10.43717 10.4845657 10.5460577 10.6142349 10.8892374 10.9231091 10.9806404 11.1209888 11.4023342 11.4806614 11.7270727 11.8457165 11.9967203 12.2339554 12.3157463 12.4795208 12.7741737 12.8299809 13.1066656 13.4266224 13.592845 13.6562328 13.8141537 13.8600559 14.2014637 14.4608021 14.6901808 14.8073349 15.1607208 15.2143965 15.4830761 15.6767693 15.7880821 15.962389 16.1874466 16.3265114 16.7351017 16.7662392 16.8860703 17.054409 17.4121284 17.65131 17.8582916 18.2388115 18.4102859 18.6940651 19.0271931 19.2205963 19.5145607 19.7887669 20.0008888 20.2834358 20.4154205 20.6391678 20.7575188 20.9765377 21.1573792 21.327425 21.5593643 21.8206768 21.9856682 22.1931534 22.4276466 22.695713 22.8176079 23.1088028 23.3142242 23.567131 23.8285675 24.0592117 24.2267418 24.479866 24.6917629 24.9442368 25.1187782 25.3638077 25.6836357 26.0062275 26.226265 26.5157738 26.8959084 27.2772808 27.5773735 27.8702068 28.0977631 28.3059788 28.7216721 29.1272545 29.6105537 30.0191784 30.462347 30.9609966 31.5506935 32.2038612 33.0824127 34.2961807 38.6701317 ------------------------------ Transdef: Tab for variable 5 2.10590816 3.0253706 3.53173995 3.77949858 3.98094225 4.23508072 4.3514185 4.52332354 4.58213425 4.74737549 4.81660461 4.91209602 5.01084328 5.09002876 5.22134495 5.28496933 5.33580017 5.42752552 5.49457169 5.53855896 5.5913949 5.6613903 5.74673605 5.83908653 5.93788576 5.99053574 6.1012578 6.20683098 6.28255653 6.30537415 6.38671398 6.46908045 6.54544449 6.64194298 6.68202591 6.73130465 6.76198483 6.80852222 6.84577751 6.88261127 6.91723061 6.94181824 6.97873402 7.00924253 7.07866573 7.10694504 7.16159153 7.17115784 7.20760918 7.25812387 7.31221771 7.36755276 7.39780617 7.44308805 7.5188818 7.54159307 7.57968044 7.63935995 7.67447186 7.73776245 7.79604959 7.84628296 7.90495872 7.94800472 7.98001909 8.02960587 8.08551121 8.1037674 8.15774918 8.20065594 8.22583771 8.25096989 8.31836128 8.3839035 8.42465019 8.47583199 8.53688431 8.61458969 8.6824131 8.74076271 8.81259346 8.84539223 8.91383457 8.95755768 9.05258942 9.10137081 9.18057823 9.2520113 9.36651421 9.42686939 9.59275436 9.75819397 9.90412712 10.0312786 10.1725416 10.4422436 10.7427893 11.1924248 11.836832 12.3175697 16.7187939 ------------------------------ Transdef: Tab for variable 6 25.0089169 26.5284595 27.2695274 28.8840485 29.6567669 30.8841629 31.2495575 32.1075058 32.8157463 33.3209229 34.0569458 34.6956253 34.8175049 35.7004509 36.8788834 36.9880829 38.06884 38.5675926 39.074234 40.2020493 40.6198921 41.1411629 41.7486534 42.422657 42.4773788 42.9287949 43.0122986 43.8319054 44.3540192 44.817482 45.6568604 46.020298 46.8014755 47.275322 47.61483 47.9671555 48.2337189 48.9532089 49.3195496 49.4298401 49.7614136 50.0436707 50.3331184 51.0546341 51.5926285 52.3364677 53.0996284 53.8927383 54.2920647 54.8560066 55.3635445 55.8273926 56.4206696 56.9351578 57.280323 58.1006775 58.7203636 59.3081665 59.6228104 60.2795792 60.7911034 61.4732475 62.0035286 62.6501579 63.284462 63.9401588 64.5232925 65.1532822 66.0105286 66.7554932 67.416626 67.9828568 68.6883545 69.5385971 70.3904953 71.2593079 72.0110626 72.8917694 73.7078629 74.7402802 75.3762665 76.7941437 77.5936432 78.5971222 79.8674011 81.4471436 82.3298187 83.1085281 85.3456726 86.7839203 88.5657196 90.1865997 92.5970154 96.4551163 98.7127838 102.017853 106.01963 110.949478 120.958145 143.923248 284.632782 ------------------------------ Transdef: Tab for variable 7 30.250906 32.6107712 33.7796249 34.5213127 34.9607239 36.1096649 37.2200012 37.6551437 38.5671349 38.8507614 39.1597977 39.6899338 40.2108536 40.4758759 40.6213837 41.0410843 41.5691528 42.1625328 42.322197 42.7302322 42.9770432 43.9875488 44.6441345 44.8773766 45.2181969 45.8309517 46.2447014 47.1460152 48.2602539 48.7216225 49.0493736 49.4324722 50.0524521 50.8652916 51.597393 52.2396927 52.6954002 53.595089 54.1160049 54.7984314 55.4931145 56.1481323 56.8986588 57.8596039 58.2275238 58.6142654 58.9403267 59.7230606 60.6724472 61.1697388 61.6832962 62.4020576 62.8849487 63.522316 64.4619141 65.1734924 66.0539703 66.9187317 67.8154602 68.5694733 69.1020584 70.2718506 71.1728058 72.0247345 72.9747925 73.8527374 74.8665848 76.1564178 76.6524963 76.8430481 77.8593826 78.7589722 80.3858109 81.7113113 83.6610565 85.2176819 86.4411469 88.0772858 89.4044037 90.6328049 92.1158371 94.0126038 95.7302094 96.9710541 98.8554077 100.405319 102.114288 103.980942 106.151642 108.647377 112.046654 115.401291 119.800842 122.696472 127.122177 133.094421 137.837463 142.043198 155.80484 176.245331 362.010406 ------------------------------ Transdef: Tab for variable 8 3.56413722 26.3707352 30.7158508 31.5146637 31.9684448 32.9499664 33.4335556 33.8556519 34.2482834 35.3519402 35.5526733 36.1126366 36.848793 37.4693413 37.8222084 38.2521133 38.8502007 38.9037628 39.2609558 39.5548782 39.7427635 39.8348083 40.3799438 40.7114983 40.9023285 41.0604439 41.5265503 42.139698 42.5377502 42.9852905 43.6338501 43.7267075 44.1093826 44.3950806 44.8788986 45.3513718 45.9242401 46.3059692 46.6307755 47.3467484 47.918869 48.3318214 48.834362 49.3822746 49.6603394 50.0511017 50.4505119 51.0487022 51.6266518 52.3283081 53.0206795 53.2870636 53.8022995 54.3933983 54.8689842 55.3957443 56.0779762 56.6400681 57.4260521 57.8598137 58.1517563 58.6130142 59.0471153 59.4825859 59.9262466 60.4404907 60.9638481 61.4302902 61.8152847 62.3556175 62.9431763 63.6673279 64.4109192 65.1473236 65.5008392 66.0203857 67.0210953 67.8137512 68.8390656 69.667923 70.5908661 71.252243 72.3890076 73.1387329 74.188385 74.8817749 76.5436325 78.3349915 80.3228455 82.1888885 84.3505859 87.0467377 88.9152679 91.6072083 95.1882172 98.6449356 102.278671 109.069855 117.182159 137.037872 295.553772 ------------------------------ Transdef: Tab for variable 9 56.6901665 62.7009811 66.5867386 69.9134216 70.7000809 71.5465851 72.6863174 74.5642853 75.5082092 76.2771454 76.9797668 77.0618439 78.3596344 79.1939392 79.8499146 81.2132568 81.8780212 82.8152466 83.3766174 83.4156876 84.6586761 85.4801941 86.1928864 86.5823441 87.2253799 88.5303268 89.0725861 90.5336304 92.1116562 93.2076797 93.5628052 94.4587097 95.6061554 96.3227463 96.9510345 98.0031509 98.7203979 99.2634125 99.7288132 100.53566 101.060104 101.627991 102.3881 103.395409 104.039749 105.086731 105.622467 106.31736 106.653679 107.825378 108.832901 109.894363 110.671371 111.693436 112.586517 113.194351 113.916023 114.692154 115.447784 116.489166 116.88649 118.265045 119.154068 120.093025 120.99559 122.022095 122.95253 123.903969 124.796524 125.968605 126.925468 127.82222 128.887955 129.559357 130.67392 131.634354 132.668304 133.822968 134.81041 135.842529 136.7742 138.252441 139.374268 140.630493 142.088776 143.115509 144.440399 145.836472 147.106796 148.781906 150.163513 151.471619 153.129593 155.251312 157.484787 160.53624 162.916321 167.990555 174.616699 193.401779 348.205872 ------------------------------ Transdef: Tab for variable 10 0.0945444107 1.15651178 1.46260381 1.66079926 1.83466554 1.92565107 2.02927065 2.11952305 2.18610859 2.24295783 2.3043189 2.35022306 2.40050316 2.42681575 2.45785642 2.48636007 2.52816248 2.55119228 2.57827711 2.60375309 2.62838268 2.65160561 2.67145157 2.69198084 2.70934105 2.72413445 2.74790907 2.76831269 2.78098059 2.79725313 2.80932617 2.8226738 2.83230615 2.84189844 2.85114574 2.85367632 2.860116 2.87144399 2.87814999 2.88782859 2.89767838 2.9009757 2.91461635 2.92508888 2.92897654 2.94136572 2.94673347 2.94957638 2.95841193 2.96489143 2.97027493 2.97757745 2.98257399 2.9881711 2.9923687 3.0001142 3.00384188 3.00992393 3.01371145 3.01739407 3.02358246 3.02556276 3.03158808 3.03459835 3.03841662 3.04286575 3.04615784 3.05104351 3.05571318 3.05916882 3.06440234 3.06707954 3.06883073 3.0730648 3.07481909 3.07643652 3.0787096 3.08098269 3.08465528 3.08877516 3.09227467 3.0946908 3.09814596 3.10160542 3.10260224 3.1045928 3.10619974 3.10849714 3.11132646 3.11303425 3.11479902 3.1194191 3.12323475 3.12588692 3.12843347 3.12912464 3.13167953 3.13250875 3.1345408 3.13815689 3.1415844 ------------------------------ Transdef: Tab for variable 11 0.000250577927 0.00606032368 0.0112676546 0.0195378065 0.0237700269 0.0372896194 0.0470772684 0.0583752431 0.0674314499 0.0817078352 0.0927102715 0.10156405 0.106470346 0.117849559 0.12660414 0.131918669 0.140591621 0.149699003 0.159277797 0.166961193 0.174784064 0.180462718 0.189892709 0.199138045 0.206680566 0.218976736 0.228978977 0.233191967 0.237955093 0.247793555 0.258027315 0.265637815 0.268900514 0.279338956 0.287984371 0.295619011 0.304212838 0.311030507 0.320994973 0.328773618 0.334658861 0.340075254 0.345939159 0.349846125 0.355821609 0.360960841 0.366099834 0.373170376 0.375146747 0.378861427 0.384687752 0.38817215 0.39200443 0.396350563 0.399814844 0.402703047 0.409150302 0.411252856 0.415474176 0.419814706 0.424060464 0.429153621 0.433770955 0.437484264 0.440034866 0.445165247 0.44729495 0.452447951 0.455577195 0.459079742 0.463454485 0.466817379 0.469370425 0.475259006 0.479162216 0.489864171 0.497349083 0.506836534 0.512741327 0.517717004 0.527185678 0.539049625 0.548802018 0.554856539 0.565616012 0.573889852 0.580881 0.587702751 0.59503305 0.606982648 0.625167608 0.637881219 0.644901395 0.650444686 0.664062917 0.675007939 0.697285414 0.73542726 0.774405777 0.819534302 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.2193266 0.33626914 0.397655159 0.403025508 0.40579465 0.409930348 0.411978483 0.413618386 0.415930003 0.419036865 0.421685576 0.424092293 0.427306771 0.429757774 0.431914479 0.435539454 0.437476337 0.439076781 0.441316575 0.443662167 0.445677221 0.447193742 0.449553132 0.452584237 0.45452711 0.457676589 0.460067153 0.461287141 0.464862794 0.467083097 0.47012341 0.472269595 0.473722905 0.47586751 0.478510439 0.480829179 0.482015789 0.485060751 0.487730533 0.490422964 0.491880894 0.493810892 0.498672038 0.50271976 0.5064255 0.510562778 0.513942242 0.517471373 0.520671904 0.522216201 0.525585353 0.528599977 0.530009806 0.534627795 0.540275574 0.544397473 0.549919128 0.554382205 0.55760181 0.560527503 0.564853191 0.567816556 0.572514176 0.577035069 0.578787684 0.583335757 0.59056443 0.597075343 0.601875782 0.603381634 0.610579371 0.615264714 0.624390185 0.629567981 0.6343925 0.637079298 0.64611721 0.650369763 0.655901074 0.661461413 0.66575402 0.667284966 0.672891021 0.678016543 0.687033713 0.692698002 0.703085244 0.713108778 0.716252983 0.726880312 0.736437917 0.74240768 0.749597907 0.763057768 0.780251026 0.794299483 0.79641223 0.827404916 0.876987696 0.923713446 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.1368732 22.1669331 23.1031837 23.7378559 24.5662422 24.9954357 25.3467369 25.6226044 25.7893753 26.530817 27.1205177 27.5719337 28.0270004 28.5188751 28.8494377 29.3393669 29.66329 30.0015144 30.1826134 30.4372501 30.5756054 30.8556957 30.9890594 31.2002869 31.3955727 31.7995052 32.2863922 32.428833 32.9144058 33.3226852 33.7450676 34.1461563 34.5145416 34.685791 35.0732803 35.3768539 35.5460281 35.7141342 36.0530624 36.1722641 36.3022995 36.5444298 36.9678192 37.2110825 37.5716476 37.8324356 38.2319489 38.706459 39.0078735 39.3137283 39.5593796 39.9004898 40.3465881 40.8170471 41.1702232 41.3692856 41.9208069 42.2658386 42.806572 43.211647 43.5014763 43.8792458 44.3037872 44.8479462 45.5133324 46.0561104 46.4971085 47.1178246 47.5334587 48.1069031 48.4699249 49.0738754 49.7086411 50.5737076 50.8039017 51.1121216 51.8085709 52.2431259 53.2128143 54.0695648 54.9997292 56.0395889 57.3701172 58.8012466 60.0219879 60.8224869 62.0245323 62.6509781 63.8490601 64.820282 66.7160416 67.4444962 70.8684998 72.7037048 75.6210251 77.6642456 81.0093994 85.3397675 89.2705536 105.476891 192.369995 ------------------------------ Transdef: Tab for variable 14 10.0093269 10.4429245 10.7702351 11.1276808 11.6262455 11.9413414 12.3112154 12.3180561 12.8371315 13.2199612 13.8151321 13.8870811 14.3678627 14.7425995 15.182724 15.6152306 16.2171745 16.375351 16.5521069 16.8413162 17.1329117 17.6317711 17.7201138 17.7369156 17.9467812 18.0664673 18.2755394 18.5100327 18.7496319 19.0181313 19.2752666 19.5027237 19.8746758 20.1708145 20.5413208 20.6388664 20.9748993 21.3561783 21.5449715 21.7357121 21.9348335 22.2470531 22.5779266 22.8193283 23.1391697 23.4864349 23.6343613 23.98666 24.2986813 24.5504837 24.8481407 25.0153522 25.2849731 25.6259365 25.9079628 26.1041698 26.4162636 26.7884884 27.1500702 27.3216801 27.6167793 27.7386665 28.0497589 28.1695175 28.3977108 28.7429428 29.0987053 29.4689102 29.6834221 30.0030174 30.3879433 30.7482681 31.1986237 31.4571953 31.8687801 32.3789291 32.8208847 33.3982277 33.935585 34.3488464 34.8480835 35.1727905 35.7895622 36.5319901 37.0042877 37.7162628 38.7157402 39.4990158 40.584259 41.4105606 43.0556335 44.5274315 45.9849319 47.5163116 49.3641739 51.5474701 53.8387566 56.6422958 61.8518295 64.8740692 85.1789627 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 55.8 28.5 45.9 22.2 41.3 54.1 42.7 52.3 -27.1 -15.9 -26.1 13.3 37.2 2 55.8 100.0 46.2 49.6 46.3 77.8 93.3 78.2 90.2 -40.3 -21.4 -37.8 22.0 36.7 3 28.5 46.2 100.0 26.7 9.5 28.4 48.5 40.3 54.8 -5.1 -28.1 -46.1 60.6 17.5 4 45.9 49.6 26.7 100.0 21.3 38.7 49.1 51.1 58.2 0.3 -26.4 -58.0 16.0 79.0 5 22.2 46.3 9.5 21.3 100.0 86.3 14.0 55.4 70.5 19.0 -6.5 -11.9 0.3 15.2 6 41.3 77.8 28.4 38.7 86.3 100.0 54.0 79.1 89.6 -7.2 -13.4 -26.6 11.8 28.6 7 54.1 93.3 48.5 49.1 14.0 54.0 100.0 69.7 74.4 -50.7 -21.9 -38.8 25.6 36.7 8 42.7 78.2 40.3 51.1 55.4 79.1 69.7 100.0 84.0 -9.2 -23.7 -38.5 22.5 40.2 9 52.3 90.2 54.8 58.2 70.5 89.6 74.4 84.0 100.0 -14.5 -23.6 -45.3 27.7 43.2 10 -27.1 -40.3 -5.1 0.3 19.0 -7.2 -50.7 -9.2 -14.5 100.0 -2.4 -1.3 2.1 0.8 11 -15.9 -21.4 -28.1 -26.4 -6.5 -13.4 -21.9 -23.7 -23.6 -2.4 100.0 53.6 -22.7 -29.1 12 -26.1 -37.8 -46.1 -58.0 -11.9 -26.6 -38.8 -38.5 -45.3 -1.3 53.6 100.0 -30.9 -47.7 13 13.3 22.0 60.6 16.0 0.3 11.8 25.6 22.5 27.7 2.1 -22.7 -30.9 100.0 39.9 14 37.2 36.7 17.5 79.0 15.2 28.6 36.7 40.2 43.2 0.8 -29.1 -47.7 39.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 137.647867 TOTAL CORRELATION OF ALL VARIABLES 61.712094 ROUND 1: MAX CORR ( 61.6906923) AFTER KILLING INPUT VARIABLE 2 CONTR 1.62512575 ROUND 2: MAX CORR ( 61.6741261) AFTER KILLING INPUT VARIABLE 9 CONTR 1.42957226 ROUND 3: MAX CORR ( 61.6237378) AFTER KILLING INPUT VARIABLE 6 CONTR 2.49254295 ROUND 4: MAX CORR ( 61.5435895) AFTER KILLING INPUT VARIABLE 11 CONTR 3.14191955 ROUND 5: MAX CORR ( 61.3760045) AFTER KILLING INPUT VARIABLE 13 CONTR 4.5386647 ROUND 6: MAX CORR ( 61.2333782) AFTER KILLING INPUT VARIABLE 14 CONTR 4.18178474 ROUND 7: MAX CORR ( 61.0221951) AFTER KILLING INPUT VARIABLE 8 CONTR 5.08117177 ROUND 8: MAX CORR ( 60.6930304) AFTER KILLING INPUT VARIABLE 12 CONTR 6.32964164 ROUND 9: MAX CORR ( 60.5199765) AFTER KILLING INPUT VARIABLE 3 CONTR 4.57999789 ROUND 10: MAX CORR ( 59.5120582) AFTER KILLING INPUT VARIABLE 10 CONTR 10.9992039 ROUND 11: MAX CORR ( 58.436175) AFTER KILLING INPUT VARIABLE 5 CONTR 11.2649242 ROUND 12: MAX CORR ( 54.0674681) AFTER KILLING INPUT VARIABLE 4 CONTR 22.1696966 LAST REMAINING VARIABLE: 7 total correlation to target: 61.712094 % total significance: 34.6657696 sigma correlations of single variables to target: variable 2: 55.8344767 % , in sigma: 31.3641132 variable 3: 28.5209113 % , in sigma: 16.0211601 variable 4: 45.864324 % , in sigma: 25.7635414 variable 5: 22.2367688 % , in sigma: 12.4911448 variable 6: 41.319644 % , in sigma: 23.210641 variable 7: 54.0674681 % , in sigma: 30.3715247 variable 8: 42.6845288 % , in sigma: 23.9773429 variable 9: 52.252987 % , in sigma: 29.3522694 variable 10: -27.1398743 % , in sigma: 15.2453849 variable 11: -15.8783981 % , in sigma: 8.91943302 variable 12: -26.1218962 % , in sigma: 14.6735522 variable 13: 13.2913287 % , in sigma: 7.4661887 variable 14: 37.2469745 % , in sigma: 20.9228848 variables sorted by significance: 1 most relevant variable 7 corr 54.0674667 , in sigma: 30.371524 2 most relevant variable 4 corr 22.1696968 , in sigma: 12.4534682 3 most relevant variable 5 corr 11.264924 , in sigma: 6.32788868 4 most relevant variable 10 corr 10.9992037 , in sigma: 6.17862457 5 most relevant variable 3 corr 4.57999802 , in sigma: 2.57273973 6 most relevant variable 12 corr 6.32964182 , in sigma: 3.5555738 7 most relevant variable 8 corr 5.08117199 , in sigma: 2.85426609 8 most relevant variable 14 corr 4.18178463 , in sigma: 2.3490498 9 most relevant variable 13 corr 4.53866482 , in sigma: 2.54952147 10 most relevant variable 11 corr 3.14191961 , in sigma: 1.76492247 11 most relevant variable 6 corr 2.49254298 , in sigma: 1.40014566 12 most relevant variable 9 corr 1.42957222 , in sigma: 0.80303905 13 most relevant variable 2 corr 1.62512577 , in sigma: 0.912888085 global correlations between input variables: variable 2: 99.405369 % variable 3: 91.0277268 % variable 4: 91.6725387 % variable 5: 97.8357857 % variable 6: 96.9763642 % variable 7: 99.1745565 % variable 8: 90.0992331 % variable 9: 99.236724 % variable 10: 69.279553 % variable 11: 57.2424381 % variable 12: 74.310187 % variable 13: 77.8284566 % variable 14: 87.5944974 % significance loss when removing single variables: variable 2: corr = 1.62512575 % , sigma = 0.912888074 variable 3: corr = 6.82822291 % , sigma = 3.83564366 variable 4: corr = 10.5442325 % , sigma = 5.92305188 variable 5: corr = 3.10521023 % , sigma = 1.74430157 variable 6: corr = 2.29935719 % , sigma = 1.29162667 variable 7: corr = 3.22447171 % , sigma = 1.81129477 variable 8: corr = 4.46358489 % , sigma = 2.50734654 variable 9: corr = 1.94175747 % , sigma = 1.09075082 variable 10: corr = 9.30903332 % , sigma = 5.22919874 variable 11: corr = 3.01475277 % , sigma = 1.69348855 variable 12: corr = 7.0517686 % , sigma = 3.96121683 variable 13: corr = 4.47582636 % , sigma = 2.51422298 variable 14: corr = 5.63093606 % , sigma = 3.16308716 Keep only 4 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 5 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 6.96079922 sigma out 15 active outputs RANK 2 NODE 5 --> 6.4400177 sigma out 15 active outputs RANK 3 NODE 4 --> 6.03404236 sigma out 15 active outputs RANK 4 NODE 3 --> 5.59939861 sigma out 15 active outputs RANK 5 NODE 2 --> 5.36271095 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 7.80200768 sigma in 5act. ( 8.83825397 sig out 1act.) RANK 2 NODE 14 --> 5.45266056 sigma in 5act. ( 5.56704807 sig out 1act.) RANK 3 NODE 1 --> 4.98151112 sigma in 5act. ( 5.73049927 sig out 1act.) RANK 4 NODE 13 --> 4.72920418 sigma in 5act. ( 4.56676817 sig out 1act.) RANK 5 NODE 11 --> 4.25922823 sigma in 5act. ( 4.64686012 sig out 1act.) RANK 6 NODE 7 --> 2.82882261 sigma in 5act. ( 2.66388154 sig out 1act.) RANK 7 NODE 12 --> 2.72799182 sigma in 5act. ( 3.05837274 sig out 1act.) RANK 8 NODE 8 --> 1.81184995 sigma in 5act. ( 1.71796632 sig out 1act.) RANK 9 NODE 9 --> 1.77349365 sigma in 5act. ( 1.86320829 sig out 1act.) RANK 10 NODE 6 --> 1.661533 sigma in 5act. ( 1.4523412 sig out 1act.) RANK 11 NODE 10 --> 1.2854172 sigma in 5act. ( 1.3858211 sig out 1act.) RANK 12 NODE 2 --> 1.24458861 sigma in 5act. ( 1.27001584 sig out 1act.) RANK 13 NODE 5 --> 1.19867766 sigma in 5act. ( 0.95537436 sig out 1act.) RANK 14 NODE 4 --> 0.882258356 sigma in 5act. ( 0.402498901 sig out 1act.) RANK 15 NODE 15 --> 0.688491702 sigma in 5act. ( 0.234471872 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 8.83825397 sigma out 1act.( 7.80200768 sig in 5act.) RANK 2 NODE 1 --> 5.73049927 sigma out 1act.( 4.98151112 sig in 5act.) RANK 3 NODE 14 --> 5.56704807 sigma out 1act.( 5.45266056 sig in 5act.) RANK 4 NODE 11 --> 4.64686012 sigma out 1act.( 4.25922823 sig in 5act.) RANK 5 NODE 13 --> 4.56676817 sigma out 1act.( 4.72920418 sig in 5act.) RANK 6 NODE 12 --> 3.05837274 sigma out 1act.( 2.72799182 sig in 5act.) RANK 7 NODE 7 --> 2.66388154 sigma out 1act.( 2.82882261 sig in 5act.) RANK 8 NODE 9 --> 1.86320829 sigma out 1act.( 1.77349365 sig in 5act.) RANK 9 NODE 8 --> 1.71796632 sigma out 1act.( 1.81184995 sig in 5act.) RANK 10 NODE 6 --> 1.4523412 sigma out 1act.( 1.661533 sig in 5act.) RANK 11 NODE 10 --> 1.3858211 sigma out 1act.( 1.2854172 sig in 5act.) RANK 12 NODE 2 --> 1.27001584 sigma out 1act.( 1.24458861 sig in 5act.) RANK 13 NODE 5 --> 0.95537436 sigma out 1act.( 1.19867766 sig in 5act.) RANK 14 NODE 4 --> 0.402498901 sigma out 1act.( 0.882258356 sig in 5act.) RANK 15 NODE 15 --> 0.234471872 sigma out 1act.( 0.688491702 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.630085 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 13.1290417 sigma out 15 active outputs RANK 2 NODE 1 --> 10.1524935 sigma out 15 active outputs RANK 3 NODE 4 --> 7.6999054 sigma out 15 active outputs RANK 4 NODE 2 --> 7.00822878 sigma out 15 active outputs RANK 5 NODE 3 --> 6.96759748 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 8.56579781 sigma in 5act. ( 7.23599529 sig out 1act.) RANK 2 NODE 3 --> 8.52383137 sigma in 5act. ( 8.66542816 sig out 1act.) RANK 3 NODE 13 --> 7.92201281 sigma in 5act. ( 5.71603203 sig out 1act.) RANK 4 NODE 1 --> 6.06104946 sigma in 5act. ( 6.11538363 sig out 1act.) RANK 5 NODE 10 --> 5.26684046 sigma in 5act. ( 2.80076265 sig out 1act.) RANK 6 NODE 12 --> 5.12169075 sigma in 5act. ( 4.03445292 sig out 1act.) RANK 7 NODE 11 --> 5.09517479 sigma in 5act. ( 4.92360926 sig out 1act.) RANK 8 NODE 9 --> 5.09056282 sigma in 5act. ( 4.48776388 sig out 1act.) RANK 9 NODE 4 --> 4.46029377 sigma in 5act. ( 1.24146008 sig out 1act.) RANK 10 NODE 7 --> 4.03259087 sigma in 5act. ( 1.84210157 sig out 1act.) RANK 11 NODE 15 --> 3.5834415 sigma in 5act. ( 0.868988991 sig out 1act.) RANK 12 NODE 8 --> 3.31479383 sigma in 5act. ( 1.92423964 sig out 1act.) RANK 13 NODE 2 --> 3.16876554 sigma in 5act. ( 1.82478166 sig out 1act.) RANK 14 NODE 5 --> 2.60864496 sigma in 5act. ( 0.867957592 sig out 1act.) RANK 15 NODE 6 --> 2.04839015 sigma in 5act. ( 0.726769149 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 8.66542816 sigma out 1act.( 8.52383137 sig in 5act.) RANK 2 NODE 14 --> 7.23599529 sigma out 1act.( 8.56579781 sig in 5act.) RANK 3 NODE 1 --> 6.11538363 sigma out 1act.( 6.06104946 sig in 5act.) RANK 4 NODE 13 --> 5.71603203 sigma out 1act.( 7.92201281 sig in 5act.) RANK 5 NODE 11 --> 4.92360926 sigma out 1act.( 5.09517479 sig in 5act.) RANK 6 NODE 9 --> 4.48776388 sigma out 1act.( 5.09056282 sig in 5act.) RANK 7 NODE 12 --> 4.03445292 sigma out 1act.( 5.12169075 sig in 5act.) RANK 8 NODE 10 --> 2.80076265 sigma out 1act.( 5.26684046 sig in 5act.) RANK 9 NODE 8 --> 1.92423964 sigma out 1act.( 3.31479383 sig in 5act.) RANK 10 NODE 7 --> 1.84210157 sigma out 1act.( 4.03259087 sig in 5act.) RANK 11 NODE 2 --> 1.82478166 sigma out 1act.( 3.16876554 sig in 5act.) RANK 12 NODE 4 --> 1.24146008 sigma out 1act.( 4.46029377 sig in 5act.) RANK 13 NODE 15 --> 0.868988991 sigma out 1act.( 3.5834415 sig in 5act.) RANK 14 NODE 5 --> 0.867957592 sigma out 1act.( 2.60864496 sig in 5act.) RANK 15 NODE 6 --> 0.726769149 sigma out 1act.( 2.04839015 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.7340069 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.453198403 *** contribution from regularisation: 0.0187668316 *** contribution from error: -0.471965224 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.520664692 *** contribution from regularisation: 0.0077579096 *** contribution from error: -0.528422594 *********************************************** -----------------> Test sample ENTER BFGS code START -4520.75804 -0.19176352 -0.217633381 EXIT FROM BFGS code FG_START 0. -0.19176352 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.534790337 *** contribution from regularisation: 0.00639457721 *** contribution from error: -0.541184902 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4642.51488 -0.19176352 -10.2273588 EXIT FROM BFGS code FG_LNSRCH 0. -0.234280139 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.546455741 *** contribution from regularisation: 0.0115215434 *** contribution from error: -0.557977259 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4743.78255 -0.234280139 -9.57837009 EXIT FROM BFGS code NEW_X -4743.78255 -0.234280139 -9.57837009 ENTER BFGS code NEW_X -4743.78255 -0.234280139 -9.57837009 EXIT FROM BFGS code FG_LNSRCH 0. -0.253679782 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.550562203 *** contribution from regularisation: 0.010824387 *** contribution from error: -0.561386585 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4779.43047 -0.253679782 -0.31504339 EXIT FROM BFGS code NEW_X -4779.43047 -0.253679782 -0.31504339 ENTER BFGS code NEW_X -4779.43047 -0.253679782 -0.31504339 EXIT FROM BFGS code FG_LNSRCH 0. -0.256851733 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.551331818 *** contribution from regularisation: 0.0103764208 *** contribution from error: -0.561708212 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4786.11154 -0.256851733 1.07489109 EXIT FROM BFGS code NEW_X -4786.11154 -0.256851733 1.07489109 ENTER BFGS code NEW_X -4786.11154 -0.256851733 1.07489109 EXIT FROM BFGS code FG_LNSRCH 0. -0.260942996 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.55272609 *** contribution from regularisation: 0.00926302187 *** contribution from error: -0.561989129 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4798.21531 -0.260942996 2.64241791 EXIT FROM BFGS code NEW_X -4798.21531 -0.260942996 2.64241791 ENTER BFGS code NEW_X -4798.21531 -0.260942996 2.64241791 EXIT FROM BFGS code FG_LNSRCH 0. -0.258733183 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.55255127 *** contribution from regularisation: 0.009282507 *** contribution from error: -0.561833799 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4796.69749 -0.258733183 2.47178006 EXIT FROM BFGS code FG_LNSRCH 0. -0.26048103 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.550322711 *** contribution from regularisation: 0.0116970576 *** contribution from error: -0.562019765 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4777.35134 -0.26048103 2.35181665 EXIT FROM BFGS code FG_LNSRCH 0. -0.260935098 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 11.7276421 sigma out 15 active outputs RANK 2 NODE 1 --> 9.66374397 sigma out 15 active outputs RANK 3 NODE 2 --> 5.40891314 sigma out 15 active outputs RANK 4 NODE 4 --> 4.92177677 sigma out 15 active outputs RANK 5 NODE 3 --> 4.33453608 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 7.58279419 sigma in 5act. ( 6.47736025 sig out 1act.) RANK 2 NODE 13 --> 6.80521345 sigma in 5act. ( 5.51846838 sig out 1act.) RANK 3 NODE 9 --> 5.3529582 sigma in 5act. ( 3.58430171 sig out 1act.) RANK 4 NODE 1 --> 5.2720685 sigma in 5act. ( 4.74497223 sig out 1act.) RANK 5 NODE 3 --> 5.16821527 sigma in 5act. ( 4.89623928 sig out 1act.) RANK 6 NODE 10 --> 5.14424372 sigma in 5act. ( 4.12871742 sig out 1act.) RANK 7 NODE 12 --> 5.0599823 sigma in 5act. ( 3.49409699 sig out 1act.) RANK 8 NODE 11 --> 4.24054289 sigma in 5act. ( 4.05113935 sig out 1act.) RANK 9 NODE 15 --> 3.57375884 sigma in 5act. ( 2.72601128 sig out 1act.) RANK 10 NODE 4 --> 3.49242091 sigma in 5act. ( 2.43967986 sig out 1act.) RANK 11 NODE 2 --> 2.47287869 sigma in 5act. ( 1.41055512 sig out 1act.) RANK 12 NODE 8 --> 2.37960291 sigma in 5act. ( 1.39180171 sig out 1act.) RANK 13 NODE 7 --> 2.14148545 sigma in 5act. ( 0.318629801 sig out 1act.) RANK 14 NODE 5 --> 1.829252 sigma in 5act. ( 0.91212368 sig out 1act.) RANK 15 NODE 6 --> 1.22375309 sigma in 5act. ( 0.458228797 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 6.47736025 sigma out 1act.( 7.58279419 sig in 5act.) RANK 2 NODE 13 --> 5.51846838 sigma out 1act.( 6.80521345 sig in 5act.) RANK 3 NODE 3 --> 4.89623928 sigma out 1act.( 5.16821527 sig in 5act.) RANK 4 NODE 1 --> 4.74497223 sigma out 1act.( 5.2720685 sig in 5act.) RANK 5 NODE 10 --> 4.12871742 sigma out 1act.( 5.14424372 sig in 5act.) RANK 6 NODE 11 --> 4.05113935 sigma out 1act.( 4.24054289 sig in 5act.) RANK 7 NODE 9 --> 3.58430171 sigma out 1act.( 5.3529582 sig in 5act.) RANK 8 NODE 12 --> 3.49409699 sigma out 1act.( 5.0599823 sig in 5act.) RANK 9 NODE 15 --> 2.72601128 sigma out 1act.( 3.57375884 sig in 5act.) RANK 10 NODE 4 --> 2.43967986 sigma out 1act.( 3.49242091 sig in 5act.) RANK 11 NODE 2 --> 1.41055512 sigma out 1act.( 2.47287869 sig in 5act.) RANK 12 NODE 8 --> 1.39180171 sigma out 1act.( 2.37960291 sig in 5act.) RANK 13 NODE 5 --> 0.91212368 sigma out 1act.( 1.829252 sig in 5act.) RANK 14 NODE 6 --> 0.458228797 sigma out 1act.( 1.22375309 sig in 5act.) RANK 15 NODE 7 --> 0.318629801 sigma out 1act.( 2.14148545 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.9951782 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.553098559 *** contribution from regularisation: 0.00889138877 *** contribution from error: -0.561989963 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4801.44871 -0.260935098 2.59892797 EXIT FROM BFGS code FG_LNSRCH 0. -0.260928005 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.550965548 *** contribution from regularisation: 0.011025656 *** contribution from error: -0.561991215 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4782.93208 -0.260928005 2.62746501 EXIT FROM BFGS code FG_LNSRCH 0. -0.260935098 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.551770806 *** contribution from regularisation: 0.0102191418 *** contribution from error: -0.561989963 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4789.92249 -0.260935098 2.62119412 EXIT FROM BFGS code FG_LNSRCH 0. -0.260935098 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.551280737 *** contribution from regularisation: 0.010709214 *** contribution from error: -0.561989963 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4785.66817 -0.260935098 2.53940105 EXIT FROM BFGS code NEW_X -4785.66817 -0.260935098 2.53940105 ENTER BFGS code NEW_X -4785.66817 -0.260935098 2.53940105 EXIT FROM BFGS code CONVERGENC -4785.66817 -0.260935098 2.53940105 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 17.4016972 sigma out 15 active outputs RANK 2 NODE 1 --> 15.3083544 sigma out 15 active outputs RANK 3 NODE 2 --> 8.45240974 sigma out 15 active outputs RANK 4 NODE 4 --> 7.17681503 sigma out 15 active outputs RANK 5 NODE 3 --> 6.49349785 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 11.9533997 sigma in 5act. ( 10.558218 sig out 1act.) RANK 2 NODE 13 --> 10.4829397 sigma in 5act. ( 9.20993233 sig out 1act.) RANK 3 NODE 9 --> 8.43630791 sigma in 5act. ( 5.37328148 sig out 1act.) RANK 4 NODE 1 --> 8.33542061 sigma in 5act. ( 7.83871746 sig out 1act.) RANK 5 NODE 3 --> 8.21602154 sigma in 5act. ( 7.98343658 sig out 1act.) RANK 6 NODE 10 --> 7.63673496 sigma in 5act. ( 6.5929904 sig out 1act.) RANK 7 NODE 12 --> 7.56219482 sigma in 5act. ( 5.76472235 sig out 1act.) RANK 8 NODE 11 --> 6.69528294 sigma in 5act. ( 6.51548576 sig out 1act.) RANK 9 NODE 15 --> 5.2066288 sigma in 5act. ( 4.23028708 sig out 1act.) RANK 10 NODE 4 --> 4.67323399 sigma in 5act. ( 3.78661013 sig out 1act.) RANK 11 NODE 2 --> 3.28174376 sigma in 5act. ( 2.03494215 sig out 1act.) RANK 12 NODE 8 --> 3.00216746 sigma in 5act. ( 2.24568677 sig out 1act.) RANK 13 NODE 7 --> 2.2984767 sigma in 5act. ( 0.509200871 sig out 1act.) RANK 14 NODE 5 --> 2.24680305 sigma in 5act. ( 1.30443156 sig out 1act.) RANK 15 NODE 6 --> 1.39839077 sigma in 5act. ( 0.597026348 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 10.558218 sigma out 1act.( 11.9533997 sig in 5act.) RANK 2 NODE 13 --> 9.20993233 sigma out 1act.( 10.4829397 sig in 5act.) RANK 3 NODE 3 --> 7.98343658 sigma out 1act.( 8.21602154 sig in 5act.) RANK 4 NODE 1 --> 7.83871746 sigma out 1act.( 8.33542061 sig in 5act.) RANK 5 NODE 10 --> 6.5929904 sigma out 1act.( 7.63673496 sig in 5act.) RANK 6 NODE 11 --> 6.51548576 sigma out 1act.( 6.69528294 sig in 5act.) RANK 7 NODE 12 --> 5.76472235 sigma out 1act.( 7.56219482 sig in 5act.) RANK 8 NODE 9 --> 5.37328148 sigma out 1act.( 8.43630791 sig in 5act.) RANK 9 NODE 15 --> 4.23028708 sigma out 1act.( 5.2066288 sig in 5act.) RANK 10 NODE 4 --> 3.78661013 sigma out 1act.( 4.67323399 sig in 5act.) RANK 11 NODE 8 --> 2.24568677 sigma out 1act.( 3.00216746 sig in 5act.) RANK 12 NODE 2 --> 2.03494215 sigma out 1act.( 3.28174376 sig in 5act.) RANK 13 NODE 5 --> 1.30443156 sigma out 1act.( 2.24680305 sig in 5act.) RANK 14 NODE 6 --> 0.597026348 sigma out 1act.( 1.39839077 sig in 5act.) RANK 15 NODE 7 --> 0.509200871 sigma out 1act.( 2.2984767 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 22.6547565 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.552255869 *** contribution from regularisation: 0.00973411277 *** contribution from error: -0.561989963 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23090 Closing output file done