NNInput NNInputs_170.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= 11682 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 = 2915 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 2915 Chosen entries: 2915 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.332497 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 2915 Entries to split: 2915 Test with : 1457 Train with : 1457 ********************************************* * 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= 2915 for Signal Prepared event 0 for Signal with 2915 events ====Entry 0 Variable Ht : 129.583 Variable LepAPt : 32.3972 Variable LepBPt : 26.0687 Variable MetSigLeptonsJets : 9.30083 Variable MetSpec : 71.117 Variable SumEtLeptonsJets : 58.466 Variable VSumJetLeptonsPt : 58.4253 Variable addEt : 129.583 Variable dPhiLepSumMet : 2.82934 Variable dPhiLeptons : 0.0750299 Variable dRLeptons : 0.480703 Variable lep1_E : 33.8139 Variable lep2_E : 34.1743 ===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 = 2170 Ht = 129.583 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 32.3975 LepAPt = 32.3972 LepBEt = 26.069 LepBPt = 26.0687 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 71.117 MetDelPhi = 2.79589 MetSig = 6.52159 MetSigLeptonsJets = 9.30083 MetSpec = 71.117 Mjj = 0 MostCentralJetEta = 0 MtllMet = 135.426 Njets = 0 SB = 0 SumEt = 118.916 SumEtJets = 0 SumEtLeptonsJets = 58.466 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 58.4253 addEt = 129.583 dPhiLepSumMet = 2.82934 dPhiLeptons = 0.0750299 dRLeptons = 0.480703 diltype = 41 dimass = 14.1009 event = 223 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 33.8139 lep2_E = 34.1743 rand = 0.999742 run = 147805 weight = 2.76405e-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 = 3.58816 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 337 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 11682 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 337 negative weights. Signal fraction: 69.4264984 % ------------------------------ 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 56.5035744 67.197464 67.7318268 68.8879242 70.274231 73.4231415 73.4309464 76.8252487 79.8374023 80.6326294 81.2958221 82.3619843 82.4770508 82.6917114 85.2883606 86.2072754 87.4008484 88.5243378 89.0839386 90.5718384 91.6025314 91.9643707 92.0245819 93.0962143 93.1037521 94.6579361 95.2904739 95.6014862 95.605484 97.1840057 99.0682373 101.239639 101.540405 102.385277 104.246628 105.385162 106.232956 107.08754 108.573463 109.203339 109.840973 110.178238 110.816582 111.093765 113.059601 114.328255 115.655838 116.49614 118.04393 119.394325 120.667175 121.965607 123.75631 125.213303 125.585808 126.848022 128.064392 128.377792 129.382874 130.880051 132.26088 133.640259 134.320679 135.644424 136.790985 138.006927 139.472885 140.526367 141.7276 143.120789 144.445938 145.873322 147.260468 148.256134 149.675308 151.135941 152.930786 154.868896 156.627045 158.565796 160.191559 163.135071 164.76709 168.01004 170.79599 173.214203 176.154388 178.954987 182.548599 185.726837 188.689056 192.11026 194.675613 201.318604 210.118469 216.815308 230.255951 245.477295 270.098053 307.019623 494.432495 ------------------------------ Transdef: Tab for variable 3 20.0047188 21.0239677 21.6448288 22.140934 22.4104061 22.583622 23.1424675 23.7009697 23.7405415 24.0649071 24.6151829 24.9493027 25.4363995 25.9563599 26.1289501 26.3474541 26.4299679 26.5613136 26.5993195 26.8026237 26.9510307 27.1745548 27.4265041 27.6194744 27.6384487 27.7217388 27.9830132 28.1705437 28.5153923 28.5566101 28.8210793 29.026722 29.1283245 29.1377583 29.2170334 29.3689938 29.4862595 29.7580528 30.0493851 30.3301239 30.538496 30.6664791 30.9986305 31.0006695 31.0909195 31.2646446 31.4207268 31.5716457 31.8183174 31.9126415 32.0431252 32.2858276 32.5423088 32.9094009 33.1407166 33.2394714 33.2953949 33.527504 33.8327103 34.1558609 34.4189301 34.6495132 34.9420853 35.2186279 35.519886 35.7888412 36.2080078 36.4608765 36.637291 36.893364 37.1770248 37.5628967 37.8641205 38.0913315 38.1961784 38.5045776 38.937233 39.2921982 39.8501053 39.9843369 40.1609039 40.4613228 40.4619789 40.845108 41.1374207 41.5182953 41.7143936 42.1141281 42.7127266 43.4506607 43.9806862 44.8898659 45.6753159 45.9376602 46.6603966 47.367588 48.8094559 50.2353363 51.7778053 55.1974258 89.1442032 ------------------------------ Transdef: Tab for variable 4 10.0092888 10.0244436 10.1780033 10.326088 10.4549961 10.5538349 10.5900126 10.727581 10.7579155 10.9953871 11.0015125 11.2094955 11.2968521 11.6344852 11.6347179 11.7535753 11.8555584 12.1129837 12.1869774 12.4342337 12.7054596 12.9482784 13.002717 13.3478127 13.3589077 13.6167049 13.8363056 13.8745918 13.9565945 14.0999746 14.1815281 14.3770523 14.4560146 14.8258839 15.0379868 15.3251801 15.359417 15.4487724 15.5629005 15.853241 16.0034103 16.2348118 16.5916233 16.6273003 16.9530373 17.4230785 17.6643143 17.98423 18.3263474 18.5923843 18.8120461 19.1213932 19.4389381 19.6702118 20.0267296 20.213871 20.4089527 20.4808807 20.7257423 20.9710617 21.2490044 21.4772568 21.7528725 21.9330063 22.0244026 22.2288399 22.4086723 22.6871567 22.890995 23.161726 23.3874893 23.6150169 23.818924 23.9895096 24.2472668 24.5358047 24.762104 25.0140114 25.2781944 25.5267258 25.7766075 26.073967 26.1957016 26.2660103 26.6126137 26.9659443 27.1666603 27.5843391 27.9089928 28.1012955 28.3366852 28.9875298 29.3973198 29.887352 30.3435059 31.0232162 31.6641579 32.6640511 33.3793106 34.3273544 39.5475082 ------------------------------ Transdef: Tab for variable 5 2.04736257 3.24622393 3.25231862 3.4385519 3.78475332 3.99134421 4.18255711 4.20536518 4.38596535 4.60652256 4.62914658 4.68000126 4.75897598 4.78772116 4.79022121 5.00030804 5.14810371 5.25871658 5.40051222 5.50072193 5.6589756 5.70110893 5.74610233 5.86795616 5.99209785 6.01416779 6.08129597 6.16005373 6.1789875 6.21790695 6.25635576 6.25648975 6.27156067 6.27638817 6.29462099 6.3396244 6.36398458 6.43884563 6.50946569 6.51656723 6.58625174 6.66734219 6.72958899 6.75115013 6.82940388 6.89936352 6.95547867 6.96696615 7.02622318 7.0982523 7.166646 7.17600584 7.24642372 7.2572937 7.29629993 7.30360126 7.3109827 7.37365866 7.41071129 7.42685032 7.46471357 7.5014019 7.51979685 7.59648991 7.6188097 7.64263058 7.69416332 7.73365974 7.79570913 7.86817265 7.93759108 7.98165464 8.03415966 8.09069061 8.14928055 8.20991135 8.27416706 8.34333992 8.43163681 8.48220062 8.53541183 8.62229347 8.68206596 8.78046036 8.8596077 8.93882561 9.01935577 9.12798977 9.27776814 9.40641594 9.54260445 9.69582939 9.83785248 9.99214649 10.2131758 10.4286308 10.6264591 10.9837809 11.3983974 12.0682592 16.8602448 ------------------------------ Transdef: Tab for variable 6 25.026516 26.8003006 27.0047836 28.1546669 28.8051319 29.4322548 29.5449715 31.1069679 32.4772491 33.5729294 33.5818596 35.2663879 35.9746857 36.3524055 36.4875984 36.4965935 37.3467712 37.5008469 37.8783684 38.994545 39.5177002 39.8016052 40.0437012 40.2797775 40.3398056 40.8434143 41.7725296 43.0890236 43.7240219 44.4388504 44.7566071 45.4718246 45.9263344 45.9821968 46.8148575 47.1972542 47.5437393 48.0840683 48.118927 48.8818398 49.3574257 50.0070419 50.0163116 50.4211807 50.8054581 50.963192 51.6606522 52.3635483 52.8675308 53.234642 53.3928299 54.2010918 54.2123642 54.8464279 55.5310059 56.0405617 56.2758255 56.8952141 56.9661751 57.6547012 58.5741806 59.2864304 60.1149979 60.7883911 61.6616287 62.4125748 63.0572166 63.7103806 64.3239136 65.1321411 65.9643097 66.7142563 67.3638306 67.8611755 68.9298859 69.5454559 70.2338486 71.2666092 72.3440552 73.2809601 74.4626236 75.2718506 75.9365997 77.2374268 79.0925369 80.2465973 81.4891663 82.9346771 84.809906 86.7970123 88.1712952 89.3177414 91.9897156 93.8841476 96.3728485 98.8733368 102.883911 108.548676 115.75293 127.438309 225.762756 ------------------------------ Transdef: Tab for variable 7 30.3449535 32.9022598 33.7945938 35.9225082 35.9282455 37.7666779 37.7676811 38.7607956 40.3705063 40.3928528 40.9671249 41.4899597 41.875042 42.0852432 42.876564 43.0891495 43.1734085 43.4829865 43.4950714 44.5817871 45.1489449 45.1757393 45.4759521 46.0233307 46.8899002 47.2720642 47.8354797 48.8980331 49.6882896 50.5580521 50.5839958 51.5526962 52.305069 52.6262627 53.0271301 53.1430054 53.9627228 54.9342194 55.7906494 55.962307 56.704277 57.1881828 57.9925423 58.7905502 58.7933884 59.4550285 60.2984238 61.184761 62.1116257 62.6860275 63.6643639 64.3860092 64.8860474 65.1352463 65.7597656 66.3948364 67.5121155 68.1446381 69.1354218 69.7613907 70.8071671 71.4789886 71.559494 72.5028534 73.1870346 73.3702545 74.1760864 75.2724457 76.3085403 78.1167603 79.315506 80.2363129 82.4270477 83.7618942 85.2838745 86.2773743 87.2856293 88.6733475 90.3525543 91.3719788 93.1162872 93.7361145 94.901886 96.4478531 97.3470612 99.1663666 102.061661 103.928375 106.0793 107.717972 109.804001 113.351151 115.893585 120.153885 124.283905 130.420868 139.915298 150.355103 160.216644 181.100937 267.809753 ------------------------------ Transdef: Tab for variable 8 7.47670698 25.9332809 28.3040924 30.309742 32.0927582 32.7736511 32.9826927 32.9853592 34.0553284 34.0924339 35.2215958 35.5872421 36.4082222 37.3367615 38.354187 38.579422 39.2855835 39.3407402 40.2153015 40.4264297 40.8076477 40.8942223 41.7651634 41.8170395 41.8981171 42.096489 42.4647369 42.6480789 42.8905411 43.4374046 43.6804543 44.0031815 44.6772766 45.1793671 45.2181244 45.2420273 45.2421112 45.7440758 46.3586273 46.999794 47.7252502 48.4144173 49.1130905 49.2048569 49.3473015 49.7055054 50.3393326 51.0092316 51.0397263 51.6554489 52.3979797 52.9808617 53.0173912 53.5440979 53.8903503 54.0290871 54.8078461 55.5301971 56.1840515 56.6760712 57.2538452 57.8613663 58.4451141 58.9936829 59.6888809 60.2221146 61.0214462 61.6324921 62.1031151 62.6090469 63.2850952 63.9983063 64.6266632 65.0892792 65.6291809 66.3460999 67.0010681 67.7159576 68.4662018 69.315506 70.2140656 71.0645294 71.6777954 72.2345428 73.1929092 74.3284302 75.7191162 77.0466003 78.6135864 80.2730713 82.2523117 83.4597626 85.4491272 87.3622971 91.1287231 94.5920715 97.3593445 104.800598 114.372917 128.618042 222.663986 ------------------------------ Transdef: Tab for variable 9 56.5035744 67.2044678 67.6991882 68.8879242 70.274231 73.0671844 73.4309464 75.6301651 78.0837097 78.8908691 79.6090164 80.6521149 81.2998962 81.6777191 82.4248428 82.6917114 82.9549942 84.7341461 86.2072754 86.2084045 87.7515564 88.5243378 89.1771088 89.3442841 89.6513519 89.6543655 89.9854126 91.2208252 91.614418 91.9643707 92.0317535 92.5819397 93.0962143 93.8495789 94.7929764 95.4942322 95.6014862 96.9410629 98.041748 98.9168549 100.261627 101.534027 101.54155 102.772369 103.455322 104.343155 105.232307 105.782249 106.232956 106.79422 107.922707 109.068283 109.118744 110.002228 110.177307 111.079453 112.187218 113.194519 114.349884 115.404015 116.479271 117.372818 118.439354 119.121849 120.049141 120.867599 121.782562 123.07621 124.118927 125.043488 126.03112 127.070671 128.19516 129.113068 130.40921 131.612579 132.766861 133.650772 134.476578 135.552475 137.119812 137.857239 139.120712 141.026825 142.559814 143.727829 145.417175 146.927124 147.854294 149.219513 150.855804 152.566803 154.393173 155.551514 157.652603 159.839233 162.893768 167.278687 171.931488 181.880798 265.589417 ------------------------------ Transdef: Tab for variable 10 0.489269972 1.17765832 1.44574368 1.64112663 1.79995239 1.87488484 1.96412849 2.05124927 2.13098598 2.20312738 2.26753044 2.32237911 2.32698369 2.34905505 2.38219357 2.42823124 2.45552015 2.47936106 2.48124504 2.52490187 2.56019092 2.575459 2.60498762 2.63385367 2.65822315 2.68860722 2.71438503 2.73286152 2.74954319 2.76852608 2.77335882 2.78289843 2.80157018 2.81653309 2.8276763 2.84134674 2.84591174 2.85796642 2.86352396 2.86714983 2.86908293 2.88071227 2.8953948 2.90418959 2.912251 2.92625213 2.93319917 2.94247007 2.94973207 2.95232868 2.96289968 2.97021055 2.97852993 2.98398209 2.98398662 2.9916873 3.00044107 3.00283647 3.00686145 3.01475668 3.02418184 3.03004885 3.03447342 3.03905869 3.04204464 3.04552364 3.05137253 3.05388546 3.05680656 3.0578413 3.06277418 3.06649232 3.06875825 3.07323623 3.07919574 3.08320332 3.08349466 3.08672714 3.0912106 3.09584713 3.09654689 3.09678388 3.09848499 3.1030066 3.10526729 3.10731554 3.10969543 3.11266518 3.11425424 3.11585188 3.1161046 3.11847305 3.12264347 3.12455368 3.1267581 3.12910247 3.13018751 3.13281679 3.13385415 3.13759899 3.14159226 ------------------------------ Transdef: Tab for variable 11 0.000105977058 0.00918504596 0.0235605389 0.0241246223 0.0341652632 0.0373311862 0.0446149111 0.0547971725 0.0666316748 0.0791231394 0.0883345604 0.095723629 0.0975515544 0.107386589 0.121335499 0.13150388 0.143438876 0.152366042 0.162448555 0.16895473 0.17454493 0.187642395 0.193842277 0.204689205 0.208371401 0.213888362 0.223354757 0.233044028 0.242982149 0.252211183 0.264576554 0.267040789 0.268642843 0.270285904 0.278573036 0.283858657 0.294914246 0.303947449 0.310943246 0.317157149 0.326545715 0.332355618 0.336672127 0.345122337 0.345426738 0.351088762 0.351733208 0.357704759 0.361771047 0.368309855 0.375797272 0.379769206 0.383728296 0.386789203 0.389743507 0.394043684 0.398863733 0.402619928 0.406154066 0.411593437 0.414541483 0.41908437 0.425304264 0.430298328 0.435926437 0.437710822 0.441700101 0.446049154 0.451565623 0.460065484 0.460082054 0.465932488 0.473090112 0.474370182 0.483223021 0.489974231 0.492345631 0.497114062 0.509264231 0.509424925 0.518301964 0.524300277 0.529873729 0.534280419 0.544818699 0.545382261 0.55365479 0.556530118 0.569274127 0.579567373 0.58893013 0.609504938 0.633465409 0.637257338 0.669887841 0.712153316 0.717618644 0.765956283 0.80157125 0.863814354 1.0178175 ------------------------------ Transdef: Tab for variable 12 0.255452454 0.261999637 0.26854682 0.336134493 0.360201359 0.399074674 0.402441323 0.404922545 0.406078458 0.408386111 0.410314322 0.412103862 0.414875686 0.416526079 0.418327749 0.420411885 0.420590818 0.4225339 0.424882114 0.426451087 0.428879738 0.430046707 0.431070924 0.434020877 0.436452627 0.439382941 0.441865742 0.444696784 0.447980762 0.450844973 0.453354001 0.455662251 0.457180262 0.459214091 0.460753679 0.464347959 0.466810644 0.469556391 0.472465456 0.475452065 0.478762358 0.481903523 0.483620554 0.485639751 0.48963815 0.493557662 0.497074097 0.501005113 0.504057527 0.508709729 0.512557387 0.516044676 0.517920971 0.518091679 0.519601583 0.524527192 0.528771996 0.533943653 0.539343715 0.543670833 0.549243987 0.552379608 0.553886771 0.557866812 0.561932802 0.568217158 0.568217695 0.572285056 0.577298403 0.581356108 0.585802674 0.593384445 0.593854666 0.59920752 0.60733217 0.614690959 0.620128572 0.622828126 0.633186936 0.634311676 0.645745635 0.653660178 0.66816473 0.675214291 0.678402066 0.679180741 0.690917611 0.692997217 0.698553801 0.699379206 0.702588677 0.7164464 0.725095987 0.738578081 0.762655735 0.79017055 0.846542418 0.859735429 0.873316765 0.91804558 1.05910957 ------------------------------ Transdef: Tab for variable 13 20.0936413 22.7667027 24.3152275 24.4333 24.7614803 24.9113159 25.6452446 26.7189713 27.0184517 27.2149162 27.6864166 28.0736389 28.3052616 28.6445236 28.6534653 29.1090927 29.4261665 29.5979118 29.7951698 30.0287323 30.3548203 30.5952454 30.9140453 31.0663319 31.2119637 31.6213684 32.0202026 32.0551186 32.3104095 32.3604202 32.590744 32.6809311 32.9207001 33.0802574 33.0898666 33.3898468 33.6107254 33.6801071 34.0740585 34.4423447 34.4569206 34.539959 34.725296 34.8752785 35.3285675 35.5667114 35.8769264 36.0791626 36.1956367 36.4611435 36.8413162 37.2025223 37.2537689 37.497467 37.8030586 38.1315536 38.5073776 38.5529137 38.7636642 39.0416107 39.5100784 39.8498383 40.2558174 40.5038719 41.0076218 41.1985855 41.2795372 41.6469803 41.9298553 42.4586906 42.8871155 43.2679367 43.6949921 44.3344574 44.7945099 45.2048111 45.8969727 46.5835266 47.0856247 47.1092682 47.7085724 48.5007324 48.9346619 49.4525681 50.5021667 51.2021637 51.7379036 52.7167053 53.7679596 54.7503586 54.9298172 55.180954 55.4133987 55.9935303 57.7526855 59.5374718 61.6681137 64.2863464 68.3125763 71.8546753 109.754379 ------------------------------ Transdef: Tab for variable 14 10.0873671 10.2658587 10.6781387 10.7241497 10.8578959 11.2472019 11.3013706 11.7243156 11.7958031 11.8225069 12.2205935 12.3015118 12.8201132 13.0381508 13.2051907 13.521615 13.6223907 13.9750557 14.5073862 14.5589104 14.9298697 15.4553795 15.5789032 16.0349064 16.2840118 16.5989437 16.7064056 17.0139446 17.1858082 17.4467697 17.7389679 18.1541595 18.5532475 18.8931026 19.0790291 19.3989677 19.8545742 20.2551041 20.5890465 20.7402287 20.924118 21.1960354 21.2399445 21.5772743 21.9213524 21.9325047 22.245985 22.5084305 22.7420578 23.0494995 23.4807014 23.7033958 23.7061481 23.9291286 24.1682892 24.4031754 24.6286659 24.8671246 25.186512 25.2720737 25.4210854 25.7928848 25.8988914 26.1397285 26.4521523 26.7006607 27.0062294 27.3218441 27.6317368 27.9493828 28.240406 28.5696983 28.917799 29.2454414 29.6101341 29.9154968 30.2783356 30.6219273 31.0027237 31.2928276 31.5770302 32.0750885 32.5185165 33.030941 33.4781952 33.8947296 34.4528885 35.1667862 35.8210526 36.0631027 36.7193985 37.5862732 38.596035 39.5598145 40.3438454 42.4309502 44.8212357 47.7572556 47.7591629 50.3875961 70.081337 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 54.6 21.3 45.5 28.8 43.9 49.7 47.0 52.8 -28.4 -22.2 -12.7 18.8 37.9 2 54.6 100.0 45.2 43.9 43.5 74.7 93.1 73.1 89.7 -48.9 -27.0 -30.1 39.5 39.8 3 21.3 45.2 100.0 16.3 5.4 23.3 48.3 35.2 52.2 -7.4 -20.0 -34.6 82.6 16.2 4 45.5 43.9 16.3 100.0 21.2 33.3 41.7 42.5 53.2 -11.3 -32.9 -50.4 19.0 82.5 5 28.8 43.5 5.4 21.2 100.0 87.3 10.2 61.7 69.5 19.8 -8.7 -1.5 0.7 14.7 6 43.9 74.7 23.3 33.3 87.3 100.0 49.3 81.7 87.9 -7.9 -15.3 -12.2 17.5 26.8 7 49.7 93.1 48.3 41.7 10.2 49.3 100.0 60.5 73.0 -60.4 -26.1 -33.2 44.1 39.9 8 47.0 73.1 35.2 42.5 61.7 81.7 60.5 100.0 83.2 -10.8 -18.6 -19.6 30.1 36.5 9 52.8 89.7 52.2 53.2 69.5 87.9 73.0 83.2 100.0 -20.7 -27.2 -32.6 44.1 45.9 10 -28.4 -48.9 -7.4 -11.3 19.8 -7.9 -60.4 -10.8 -20.7 100.0 14.4 12.6 -12.0 -14.8 11 -22.2 -27.0 -20.0 -32.9 -8.7 -15.3 -26.1 -18.6 -27.2 14.4 100.0 56.1 -18.3 -32.0 12 -12.7 -30.1 -34.6 -50.4 -1.5 -12.2 -33.2 -19.6 -32.6 12.6 56.1 100.0 -31.9 -41.7 13 18.8 39.5 82.6 19.0 0.7 17.5 44.1 30.1 44.1 -12.0 -18.3 -31.9 100.0 37.4 14 37.9 39.8 16.2 82.5 14.7 26.8 39.9 36.5 45.9 -14.8 -32.0 -41.7 37.4 100.0 TOTAL CORRELATION TO TARGET (diagonal) 137.75748 TOTAL CORRELATION OF ALL VARIABLES 64.5462709 ROUND 1: MAX CORR ( 64.5460651) AFTER KILLING INPUT VARIABLE 13 CONTR 0.163002747 ROUND 2: MAX CORR ( 64.5295795) AFTER KILLING INPUT VARIABLE 7 CONTR 1.45872845 ROUND 3: MAX CORR ( 64.4738787) AFTER KILLING INPUT VARIABLE 14 CONTR 2.68059722 ROUND 4: MAX CORR ( 64.3946713) AFTER KILLING INPUT VARIABLE 6 CONTR 3.19489291 ROUND 5: MAX CORR ( 63.84979) AFTER KILLING INPUT VARIABLE 8 CONTR 8.35930688 ROUND 6: MAX CORR ( 63.3834743) AFTER KILLING INPUT VARIABLE 9 CONTR 7.70265276 ROUND 7: MAX CORR ( 63.1286249) AFTER KILLING INPUT VARIABLE 3 CONTR 5.67816367 ROUND 8: MAX CORR ( 62.8752209) AFTER KILLING INPUT VARIABLE 5 CONTR 5.65065211 ROUND 9: MAX CORR ( 62.6494017) AFTER KILLING INPUT VARIABLE 10 CONTR 5.32408406 ROUND 10: MAX CORR ( 61.7060863) AFTER KILLING INPUT VARIABLE 11 CONTR 10.8308103 ROUND 11: MAX CORR ( 59.6322948) AFTER KILLING INPUT VARIABLE 12 CONTR 15.8628656 ROUND 12: MAX CORR ( 54.6171507) AFTER KILLING INPUT VARIABLE 4 CONTR 23.936947 LAST REMAINING VARIABLE: 2 total correlation to target: 64.5462709 % total significance: 29.5894019 sigma correlations of single variables to target: variable 2: 54.6171507 % , in sigma: 25.0376792 variable 3: 21.2910344 % , in sigma: 9.76026912 variable 4: 45.4897586 % , in sigma: 20.8534859 variable 5: 28.8226659 % , in sigma: 13.2129313 variable 6: 43.8660291 % , in sigma: 20.1091333 variable 7: 49.6897309 % , in sigma: 22.7788437 variable 8: 46.9780306 % , in sigma: 21.5357418 variable 9: 52.7838573 % , in sigma: 24.1972579 variable 10: -28.4455995 % , in sigma: 13.040076 variable 11: -22.1665293 % , in sigma: 10.1616149 variable 12: -12.7289599 % , in sigma: 5.83522961 variable 13: 18.8353402 % , in sigma: 8.63452596 variable 14: 37.9083822 % , in sigma: 17.3780195 variables sorted by significance: 1 most relevant variable 2 corr 54.6171494 , in sigma: 25.0376786 2 most relevant variable 4 corr 23.9369469 , in sigma: 10.9732124 3 most relevant variable 12 corr 15.8628654 , in sigma: 7.27187945 4 most relevant variable 11 corr 10.8308105 , in sigma: 4.96507702 5 most relevant variable 10 corr 5.32408428 , in sigma: 2.440675 6 most relevant variable 5 corr 5.65065193 , in sigma: 2.59038065 7 most relevant variable 3 corr 5.67816353 , in sigma: 2.60299256 8 most relevant variable 9 corr 7.70265293 , in sigma: 3.53106214 9 most relevant variable 8 corr 8.35930729 , in sigma: 3.83208665 10 most relevant variable 6 corr 3.19489288 , in sigma: 1.46460777 11 most relevant variable 14 corr 2.68059731 , in sigma: 1.22884359 12 most relevant variable 7 corr 1.45872843 , in sigma: 0.668712557 13 most relevant variable 13 corr 0.163002744 , in sigma: 0.0747239716 global correlations between input variables: variable 2: 99.4080193 % variable 3: 93.3700162 % variable 4: 91.3942143 % variable 5: 98.084244 % variable 6: 97.2401591 % variable 7: 99.1904257 % variable 8: 89.641246 % variable 9: 99.1579239 % variable 10: 73.7254092 % variable 11: 59.1357235 % variable 12: 70.063601 % variable 13: 89.8516385 % variable 14: 89.8449744 % significance loss when removing single variables: variable 2: corr = 6.11736852 % , sigma = 2.80433359 variable 3: corr = 8.36012528 % , sigma = 3.83246163 variable 4: corr = 20.9881863 % , sigma = 9.62143702 variable 5: corr = 9.41125577 % , sigma = 4.31432251 variable 6: corr = 3.01470429 % , sigma = 1.38200543 variable 7: corr = 1.45820314 % , sigma = 0.668471751 variable 8: corr = 7.70337651 % , sigma = 3.53139384 variable 9: corr = 10.0833808 % , sigma = 4.62243912 variable 10: corr = 9.14021308 % , sigma = 4.19007069 variable 11: corr = 9.79719819 % , sigma = 4.49124683 variable 12: corr = 18.3677567 % , sigma = 8.42017558 variable 13: corr = 0.163002747 % , sigma = 0.0747239727 variable 14: corr = 2.094885 % , sigma = 0.960340441 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 5 --> 7.26649523 sigma out 15 active outputs RANK 2 NODE 4 --> 5.27406025 sigma out 15 active outputs RANK 3 NODE 1 --> 4.89605618 sigma out 15 active outputs RANK 4 NODE 3 --> 4.4795599 sigma out 15 active outputs RANK 5 NODE 2 --> 2.60420132 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 5.43624306 sigma in 5act. ( 6.08800125 sig out 1act.) RANK 2 NODE 3 --> 4.57647467 sigma in 5act. ( 4.83027029 sig out 1act.) RANK 3 NODE 8 --> 4.48171711 sigma in 5act. ( 5.3275609 sig out 1act.) RANK 4 NODE 5 --> 4.17245674 sigma in 5act. ( 4.70194769 sig out 1act.) RANK 5 NODE 11 --> 3.91907215 sigma in 5act. ( 3.88325477 sig out 1act.) RANK 6 NODE 14 --> 2.78747463 sigma in 5act. ( 3.19189215 sig out 1act.) RANK 7 NODE 1 --> 2.33064961 sigma in 5act. ( 2.72353268 sig out 1act.) RANK 8 NODE 10 --> 2.30716491 sigma in 5act. ( 2.52108169 sig out 1act.) RANK 9 NODE 15 --> 1.89153767 sigma in 5act. ( 1.91633821 sig out 1act.) RANK 10 NODE 9 --> 1.29672945 sigma in 5act. ( 1.12862086 sig out 1act.) RANK 11 NODE 6 --> 1.22072327 sigma in 5act. ( 0.0710795671 sig out 1act.) RANK 12 NODE 2 --> 1.17304337 sigma in 5act. ( 0.123736404 sig out 1act.) RANK 13 NODE 12 --> 0.727210104 sigma in 5act. ( 0.596083045 sig out 1act.) RANK 14 NODE 7 --> 0.699613512 sigma in 5act. ( 0.212567732 sig out 1act.) RANK 15 NODE 4 --> 0.646002352 sigma in 5act. ( 0.80741024 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 6.08800125 sigma out 1act.( 5.43624306 sig in 5act.) RANK 2 NODE 8 --> 5.3275609 sigma out 1act.( 4.48171711 sig in 5act.) RANK 3 NODE 3 --> 4.83027029 sigma out 1act.( 4.57647467 sig in 5act.) RANK 4 NODE 5 --> 4.70194769 sigma out 1act.( 4.17245674 sig in 5act.) RANK 5 NODE 11 --> 3.88325477 sigma out 1act.( 3.91907215 sig in 5act.) RANK 6 NODE 14 --> 3.19189215 sigma out 1act.( 2.78747463 sig in 5act.) RANK 7 NODE 1 --> 2.72353268 sigma out 1act.( 2.33064961 sig in 5act.) RANK 8 NODE 10 --> 2.52108169 sigma out 1act.( 2.30716491 sig in 5act.) RANK 9 NODE 15 --> 1.91633821 sigma out 1act.( 1.89153767 sig in 5act.) RANK 10 NODE 9 --> 1.12862086 sigma out 1act.( 1.29672945 sig in 5act.) RANK 11 NODE 4 --> 0.80741024 sigma out 1act.( 0.646002352 sig in 5act.) RANK 12 NODE 12 --> 0.596083045 sigma out 1act.( 0.727210104 sig in 5act.) RANK 13 NODE 7 --> 0.212567732 sigma out 1act.( 0.699613512 sig in 5act.) RANK 14 NODE 2 --> 0.123736404 sigma out 1act.( 1.17304337 sig in 5act.) RANK 15 NODE 6 --> 0.0710795671 sigma out 1act.( 1.22072327 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.4878626 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 9.82095337 sigma out 15 active outputs RANK 2 NODE 2 --> 9.66302013 sigma out 15 active outputs RANK 3 NODE 1 --> 9.1405592 sigma out 15 active outputs RANK 4 NODE 5 --> 9.13546562 sigma out 15 active outputs RANK 5 NODE 3 --> 4.99618721 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 7.6353364 sigma in 5act. ( 5.12160778 sig out 1act.) RANK 2 NODE 12 --> 7.5994668 sigma in 5act. ( 3.6091423 sig out 1act.) RANK 3 NODE 3 --> 7.33052588 sigma in 5act. ( 6.91040182 sig out 1act.) RANK 4 NODE 8 --> 6.49650764 sigma in 5act. ( 5.65193176 sig out 1act.) RANK 5 NODE 13 --> 5.94792891 sigma in 5act. ( 5.71880531 sig out 1act.) RANK 6 NODE 11 --> 5.7569232 sigma in 5act. ( 3.97775769 sig out 1act.) RANK 7 NODE 2 --> 5.46247292 sigma in 5act. ( 1.52960956 sig out 1act.) RANK 8 NODE 5 --> 4.78440237 sigma in 5act. ( 5.19362354 sig out 1act.) RANK 9 NODE 14 --> 3.97562766 sigma in 5act. ( 3.08928514 sig out 1act.) RANK 10 NODE 10 --> 3.91977882 sigma in 5act. ( 3.18531537 sig out 1act.) RANK 11 NODE 9 --> 2.99683809 sigma in 5act. ( 1.27288485 sig out 1act.) RANK 12 NODE 15 --> 2.07105732 sigma in 5act. ( 0.794551253 sig out 1act.) RANK 13 NODE 1 --> 1.46792114 sigma in 5act. ( 1.56987298 sig out 1act.) RANK 14 NODE 6 --> 1.30619216 sigma in 5act. ( 0.140883446 sig out 1act.) RANK 15 NODE 7 --> 0.501366556 sigma in 5act. ( 0.00196424709 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 6.91040182 sigma out 1act.( 7.33052588 sig in 5act.) RANK 2 NODE 13 --> 5.71880531 sigma out 1act.( 5.94792891 sig in 5act.) RANK 3 NODE 8 --> 5.65193176 sigma out 1act.( 6.49650764 sig in 5act.) RANK 4 NODE 5 --> 5.19362354 sigma out 1act.( 4.78440237 sig in 5act.) RANK 5 NODE 4 --> 5.12160778 sigma out 1act.( 7.6353364 sig in 5act.) RANK 6 NODE 11 --> 3.97775769 sigma out 1act.( 5.7569232 sig in 5act.) RANK 7 NODE 12 --> 3.6091423 sigma out 1act.( 7.5994668 sig in 5act.) RANK 8 NODE 10 --> 3.18531537 sigma out 1act.( 3.91977882 sig in 5act.) RANK 9 NODE 14 --> 3.08928514 sigma out 1act.( 3.97562766 sig in 5act.) RANK 10 NODE 1 --> 1.56987298 sigma out 1act.( 1.46792114 sig in 5act.) RANK 11 NODE 2 --> 1.52960956 sigma out 1act.( 5.46247292 sig in 5act.) RANK 12 NODE 9 --> 1.27288485 sigma out 1act.( 2.99683809 sig in 5act.) RANK 13 NODE 15 --> 0.794551253 sigma out 1act.( 2.07105732 sig in 5act.) RANK 14 NODE 6 --> 0.140883446 sigma out 1act.( 1.30619216 sig in 5act.) RANK 15 NODE 7 --> 0.00196424709 sigma out 1act.( 0.501366556 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.8735113 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.444285631 *** contribution from regularisation: 0.0263196137 *** contribution from error: -0.470605254 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.531255841 *** contribution from regularisation: 0.0111826118 *** contribution from error: -0.542438447 *********************************************** -----------------> Test sample ENTER BFGS code START -3103.6493 0.653074145 0.114324376 EXIT FROM BFGS code FG_START 0. 0.653074145 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.541535079 *** contribution from regularisation: 0.00919331796 *** contribution from error: -0.550728381 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3163.10636 0.653074145 -0.685615003 EXIT FROM BFGS code FG_LNSRCH 0. 0.644568264 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.541339219 *** contribution from regularisation: 0.0137033211 *** contribution from error: -0.555042565 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3161.96229 0.644568264 -7.39984894 EXIT FROM BFGS code FG_LNSRCH 0. 0.648993552 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.54482615 *** contribution from regularisation: 0.0125671793 *** contribution from error: -0.557393312 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3182.32941 0.648993552 -3.41158509 EXIT FROM BFGS code NEW_X -3182.32941 0.648993552 -3.41158509 ENTER BFGS code NEW_X -3182.32941 0.648993552 -3.41158509 EXIT FROM BFGS code FG_LNSRCH 0. 0.633186936 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.545551777 *** contribution from regularisation: 0.0121888416 *** contribution from error: -0.557740629 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3186.56796 0.633186936 -5.57809925 EXIT FROM BFGS code NEW_X -3186.56796 0.633186936 -5.57809925 ENTER BFGS code NEW_X -3186.56796 0.633186936 -5.57809925 EXIT FROM BFGS code FG_LNSRCH 0. 0.540831804 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.544422507 *** contribution from regularisation: 0.0116018988 *** contribution from error: -0.556024432 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3179.97188 0.540831804 -9.90527344 EXIT FROM BFGS code FG_LNSRCH 0. 0.616404176 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.540977597 *** contribution from regularisation: 0.0167527981 *** contribution from error: -0.557730377 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3159.85026 0.616404176 -6.12536716 EXIT FROM BFGS code FG_LNSRCH 0. 0.632901728 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.54416877 *** contribution from regularisation: 0.0135736046 *** contribution from error: -0.557742357 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3178.48969 0.632901728 -5.51039171 EXIT FROM BFGS code FG_LNSRCH 0. 0.633186638 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 8.87774181 sigma out 15 active outputs RANK 2 NODE 2 --> 8.0648241 sigma out 15 active outputs RANK 3 NODE 1 --> 7.77526522 sigma out 15 active outputs RANK 4 NODE 5 --> 5.76670933 sigma out 15 active outputs RANK 5 NODE 3 --> 3.31461406 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 7.09596443 sigma in 5act. ( 4.72570944 sig out 1act.) RANK 2 NODE 12 --> 6.68700361 sigma in 5act. ( 3.75147128 sig out 1act.) RANK 3 NODE 3 --> 5.71071053 sigma in 5act. ( 4.17251205 sig out 1act.) RANK 4 NODE 2 --> 4.73123693 sigma in 5act. ( 2.4515574 sig out 1act.) RANK 5 NODE 8 --> 4.65888309 sigma in 5act. ( 3.44317842 sig out 1act.) RANK 6 NODE 11 --> 4.38835859 sigma in 5act. ( 2.78288102 sig out 1act.) RANK 7 NODE 13 --> 4.20513773 sigma in 5act. ( 3.18274045 sig out 1act.) RANK 8 NODE 10 --> 3.34356952 sigma in 5act. ( 2.58321142 sig out 1act.) RANK 9 NODE 5 --> 3.26418757 sigma in 5act. ( 2.74043417 sig out 1act.) RANK 10 NODE 14 --> 2.85044336 sigma in 5act. ( 1.79289758 sig out 1act.) RANK 11 NODE 9 --> 2.42492652 sigma in 5act. ( 1.3266561 sig out 1act.) RANK 12 NODE 15 --> 1.45222342 sigma in 5act. ( 0.697577 sig out 1act.) RANK 13 NODE 1 --> 1.01973844 sigma in 5act. ( 0.715941846 sig out 1act.) RANK 14 NODE 6 --> 0.873623848 sigma in 5act. ( 0.387622803 sig out 1act.) RANK 15 NODE 7 --> 0.297818273 sigma in 5act. ( 0.0635978803 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 4.72570944 sigma out 1act.( 7.09596443 sig in 5act.) RANK 2 NODE 3 --> 4.17251205 sigma out 1act.( 5.71071053 sig in 5act.) RANK 3 NODE 12 --> 3.75147128 sigma out 1act.( 6.68700361 sig in 5act.) RANK 4 NODE 8 --> 3.44317842 sigma out 1act.( 4.65888309 sig in 5act.) RANK 5 NODE 13 --> 3.18274045 sigma out 1act.( 4.20513773 sig in 5act.) RANK 6 NODE 11 --> 2.78288102 sigma out 1act.( 4.38835859 sig in 5act.) RANK 7 NODE 5 --> 2.74043417 sigma out 1act.( 3.26418757 sig in 5act.) RANK 8 NODE 10 --> 2.58321142 sigma out 1act.( 3.34356952 sig in 5act.) RANK 9 NODE 2 --> 2.4515574 sigma out 1act.( 4.73123693 sig in 5act.) RANK 10 NODE 14 --> 1.79289758 sigma out 1act.( 2.85044336 sig in 5act.) RANK 11 NODE 9 --> 1.3266561 sigma out 1act.( 2.42492652 sig in 5act.) RANK 12 NODE 1 --> 0.715941846 sigma out 1act.( 1.01973844 sig in 5act.) RANK 13 NODE 15 --> 0.697577 sigma out 1act.( 1.45222342 sig in 5act.) RANK 14 NODE 6 --> 0.387622803 sigma out 1act.( 0.873623848 sig in 5act.) RANK 15 NODE 7 --> 0.0635978803 sigma out 1act.( 0.297818273 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.4817238 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.544510365 *** contribution from regularisation: 0.0132302791 *** contribution from error: -0.557740629 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3180.48492 0.633186638 -5.21415758 EXIT FROM BFGS code FG_LNSRCH 0. 0.633186936 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.545579553 *** contribution from regularisation: 0.0121610761 *** contribution from error: -0.557740629 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3186.73014 0.633186936 -5.67834473 EXIT FROM BFGS code FG_LNSRCH 0. 0.633186936 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.544360459 *** contribution from regularisation: 0.0133801894 *** contribution from error: -0.557740629 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3179.60929 0.633186936 -5.64605045 EXIT FROM BFGS code FG_LNSRCH 0. 0.633186936 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.544041753 *** contribution from regularisation: 0.0136988722 *** contribution from error: -0.557740629 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3177.74787 0.633186936 -5.29282093 EXIT FROM BFGS code NEW_X -3177.74787 0.633186936 -5.29282093 ENTER BFGS code NEW_X -3177.74787 0.633186936 -5.29282093 EXIT FROM BFGS code CONVERGENC -3177.74787 0.633186936 -5.29282093 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 13.5891314 sigma out 15 active outputs RANK 2 NODE 1 --> 11.8719339 sigma out 15 active outputs RANK 3 NODE 2 --> 10.928134 sigma out 15 active outputs RANK 4 NODE 5 --> 7.97418451 sigma out 15 active outputs RANK 5 NODE 3 --> 4.98255873 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 10.9888973 sigma in 5act. ( 7.1131959 sig out 1act.) RANK 2 NODE 12 --> 9.62937546 sigma in 5act. ( 5.91649914 sig out 1act.) RANK 3 NODE 3 --> 9.22474384 sigma in 5act. ( 6.25345325 sig out 1act.) RANK 4 NODE 8 --> 6.76594257 sigma in 5act. ( 5.36118746 sig out 1act.) RANK 5 NODE 2 --> 6.46603823 sigma in 5act. ( 3.68229985 sig out 1act.) RANK 6 NODE 11 --> 6.36714983 sigma in 5act. ( 4.62251568 sig out 1act.) RANK 7 NODE 13 --> 6.04640722 sigma in 5act. ( 5.18038082 sig out 1act.) RANK 8 NODE 10 --> 4.73411465 sigma in 5act. ( 3.83914399 sig out 1act.) RANK 9 NODE 5 --> 4.69670057 sigma in 5act. ( 4.65971851 sig out 1act.) RANK 10 NODE 14 --> 3.56023145 sigma in 5act. ( 2.70058727 sig out 1act.) RANK 11 NODE 9 --> 2.84878826 sigma in 5act. ( 1.83029568 sig out 1act.) RANK 12 NODE 15 --> 1.62971163 sigma in 5act. ( 0.967235327 sig out 1act.) RANK 13 NODE 1 --> 1.16398799 sigma in 5act. ( 0.909685969 sig out 1act.) RANK 14 NODE 6 --> 0.907943487 sigma in 5act. ( 0.468731999 sig out 1act.) RANK 15 NODE 7 --> 0.290023237 sigma in 5act. ( 0.0669101775 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 7.1131959 sigma out 1act.( 10.9888973 sig in 5act.) RANK 2 NODE 3 --> 6.25345325 sigma out 1act.( 9.22474384 sig in 5act.) RANK 3 NODE 12 --> 5.91649914 sigma out 1act.( 9.62937546 sig in 5act.) RANK 4 NODE 8 --> 5.36118746 sigma out 1act.( 6.76594257 sig in 5act.) RANK 5 NODE 13 --> 5.18038082 sigma out 1act.( 6.04640722 sig in 5act.) RANK 6 NODE 5 --> 4.65971851 sigma out 1act.( 4.69670057 sig in 5act.) RANK 7 NODE 11 --> 4.62251568 sigma out 1act.( 6.36714983 sig in 5act.) RANK 8 NODE 10 --> 3.83914399 sigma out 1act.( 4.73411465 sig in 5act.) RANK 9 NODE 2 --> 3.68229985 sigma out 1act.( 6.46603823 sig in 5act.) RANK 10 NODE 14 --> 2.70058727 sigma out 1act.( 3.56023145 sig in 5act.) RANK 11 NODE 9 --> 1.83029568 sigma out 1act.( 2.84878826 sig in 5act.) RANK 12 NODE 15 --> 0.967235327 sigma out 1act.( 1.62971163 sig in 5act.) RANK 13 NODE 1 --> 0.909685969 sigma out 1act.( 1.16398799 sig in 5act.) RANK 14 NODE 6 --> 0.468731999 sigma out 1act.( 0.907943487 sig in 5act.) RANK 15 NODE 7 --> 0.0669101775 sigma out 1act.( 0.290023237 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.2571907 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.545262814 *** contribution from regularisation: 0.012477804 *** contribution from error: -0.557740629 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23090 Closing output file done