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= 192299 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 = 50594 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 50594 Chosen entries: 50594 Signal fraction: 1 Background fraction: 0.357038 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 50594 Entries to split: 50594 Test with : 25297 Train with : 25297 ********************************************* * 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= 50594 for Signal Prepared event 0 for Signal with 50594 events ====Entry 0 Variable Ht : 206.347 Variable LepAPt : 36.1308 Variable LepBPt : 29.2247 Variable MetSigLeptonsJets : 10.199 Variable MetSpec : 96.7965 Variable SumEtLeptonsJets : 102.892 Variable VSumJetLeptonsPt : 40.6877 Variable addEt : 168.81 Variable dPhiLepSumMet : 2.54625 Variable dPhiLeptons : 0.182576 Variable dRLeptons : 0.326 Variable lep1_E : 42.5211 Variable lep2_E : 30.6986 ===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 = 206.347 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.1308 LepAPt = 36.1308 LepBEt = 29.225 LepBPt = 29.2247 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 103.455 MetDelPhi = 1.21007 MetSig = 7.81518 MetSigLeptonsJets = 10.199 MetSpec = 96.7965 Mjj = 0 MostCentralJetEta = -1.03827 MtllMet = 173.786 Njets = 1 SB = 0 SumEt = 175.236 SumEtJets = 0 SumEtLeptonsJets = 102.892 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 40.6877 addEt = 168.81 dPhiLepSumMet = 2.54625 dPhiLeptons = 0.182576 dRLeptons = 0.326 diltype = 47 dimass = 10.613 event = 34 jet1_Et = 37.5368 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 42.5211 lep2_E = 30.6986 rand = 0.999742 run = 175066 weight = 3.57526e-06 ===Show End Prepared event 10000 for Signal with 50594 events Prepared event 20000 for Signal with 50594 events Prepared event 30000 for Signal with 50594 events Prepared event 40000 for Signal with 50594 events Prepared event 50000 for Signal with 50594 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 141705 for Background Prepared event 0 for Background with 141705 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.286024 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepared event 110000 for Background with 141705 events Prepared event 120000 for Background with 141705 events Prepared event 130000 for Background with 141705 events Prepared event 140000 for Background with 141705 events Warning: found 4517 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 192299 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 4517 negative weights. Signal fraction: 62.679409 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 47.1748543 62.1228943 64.2896042 66.2484894 67.6123199 68.8892517 70.0322571 71.1019135 71.9020538 72.9967194 73.7783813 74.3730469 75.2123337 75.8309479 76.6404572 77.0652161 77.6699982 78.3586655 78.9932251 79.6627808 80.4328918 81.2251358 81.9554596 82.6398621 83.5464325 84.5829849 85.5348816 86.683342 88.011795 89.285141 90.9049988 92.3965454 93.6631546 95.6049423 97.3049393 98.8515472 100.643044 102.598373 104.305344 105.903038 107.466888 109.155083 110.84491 112.616623 114.514297 116.367111 118.170288 119.781967 121.570137 123.459915 125.23439 126.988632 128.902634 130.634674 132.236801 133.951614 135.567062 137.095673 138.618118 140.217041 141.783249 143.264679 144.626709 146.070663 147.724579 149.073898 150.600876 151.970444 153.546387 154.993088 156.520309 158.051208 159.545975 161.187866 162.692963 164.490875 166.351883 168.274536 170.311371 172.528625 174.88707 177.351181 180.009705 182.664825 185.472137 188.365494 191.360321 194.510086 198.109711 202.103668 206.346558 211.152939 216.189713 221.89328 228.891876 237.907593 248.935364 264.492828 286.795074 331.607422 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3270035 20.7183266 21.0458107 21.3571777 21.5975571 21.8887463 22.1271896 22.3831062 22.6033287 22.8537388 23.0987358 23.3131828 23.5666599 23.7557735 23.993 24.2242661 24.4441833 24.6768112 24.918438 25.1460762 25.3743401 25.5845013 25.8157654 26.0264339 26.225729 26.449297 26.7311039 26.9755154 27.2047024 27.4506264 27.6741886 27.8958969 28.1222725 28.3378716 28.613678 28.8379822 29.1048717 29.3423939 29.6155491 29.8459244 30.1290092 30.4443512 30.7387772 31.055294 31.383934 31.7002811 31.9739876 32.2917175 32.6324158 32.9755325 33.2817688 33.6122437 33.9603767 34.34515 34.6728745 35.0057793 35.3196793 35.6270599 36.0094986 36.3457108 36.6676712 37.0173798 37.4104767 37.7902069 38.1546707 38.5254517 38.896965 39.1942596 39.5720901 39.9338837 40.334156 40.6878319 40.9866486 41.3871307 41.7823296 42.2538834 42.7013359 43.1854401 43.6448364 44.1330109 44.6395607 45.1473923 45.7148933 46.316143 46.9340935 47.5403137 48.20364 48.9321899 49.6821404 50.4841843 51.3586731 52.3132248 53.372757 54.546051 56.0084305 57.7529449 60.320816 63.9565659 70.9368591 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.113904 10.2667713 10.389245 10.5029726 10.6269665 10.7679586 10.912324 11.0397434 11.1801167 11.3326283 11.480547 11.6044846 11.7413006 11.9181271 12.0810814 12.2608824 12.409483 12.6193743 12.7879601 12.9479618 13.1400394 13.3487959 13.5061131 13.662919 13.8366795 14.011755 14.1970148 14.373167 14.5969734 14.8147564 15.0575924 15.2939892 15.501379 15.7054195 15.8822994 16.1279793 16.4050827 16.6591339 16.8874378 17.1586952 17.4578266 17.7525272 17.9862728 18.293335 18.5315895 18.8137932 19.0932503 19.3738022 19.6959629 20.0099297 20.2423477 20.5058098 20.8112297 21.1514626 21.4326172 21.7188072 21.9794312 22.2057648 22.5213985 22.8292942 23.140583 23.4709282 23.8099117 24.1092873 24.420908 24.771244 25.1050758 25.4385433 25.77882 26.0853348 26.3729801 26.6947021 27.0323524 27.3646584 27.6984406 28.0002785 28.3139572 28.6595955 29.0189819 29.3829365 29.7763939 30.1294174 30.4969711 30.9105091 31.3107491 31.733387 32.1853333 32.6811333 33.1422462 33.6256409 34.1479836 34.7739601 35.4763718 36.2258682 37.0875816 38.1612244 39.6074333 42.0535469 46.0569954 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.23494017 2.64044523 3.05343962 3.34778142 3.63241982 3.82638407 4.02319908 4.1682539 4.2926259 4.41586065 4.52848387 4.62929535 4.70115185 4.79905224 4.89195585 4.98942852 5.05789995 5.12489414 5.18672848 5.25787115 5.31470108 5.37807322 5.43352127 5.49470615 5.53972721 5.5957098 5.6437974 5.69194078 5.75671387 5.81230736 5.86248732 5.90868855 5.96176577 6.01033163 6.05200481 6.09789848 6.1386199 6.18591833 6.23589277 6.27834797 6.32248783 6.37637854 6.42841434 6.48201656 6.52519608 6.56855297 6.61992264 6.66249371 6.71133423 6.76091862 6.80942535 6.86183786 6.90784931 6.96148205 7.00936174 7.06485844 7.12445068 7.18260765 7.23711205 7.29640961 7.34870148 7.40836763 7.46549702 7.51294804 7.57797098 7.63502502 7.69050503 7.75044441 7.81538725 7.87058163 7.9327879 7.99413776 8.05370522 8.11787033 8.18635178 8.25569916 8.32266426 8.38964844 8.44655037 8.50664711 8.57514954 8.64398766 8.7088623 8.78089905 8.852211 8.93205452 8.99925804 9.08506584 9.1766367 9.27134895 9.37608528 9.4890089 9.61218262 9.7627182 9.93351173 10.1243324 10.3638277 10.6551685 11.179903 12.1086979 18.2836285 ------------------------------ Transdef: Tab for variable 6 15.004632 20.6460552 25.1004448 26.196373 27.0059814 27.749157 28.6832428 29.4356422 30.1361732 30.810627 31.4738464 32.1820374 32.7463455 33.1501541 33.6285095 34.1203766 34.6006165 34.9379807 35.3850403 35.8670273 36.2874527 36.7268677 37.1256943 37.528595 37.8812485 38.2342834 38.6220818 39.0158386 39.4377441 39.8037224 40.2445297 40.6235123 41.1373291 41.6475449 42.1052322 42.4986877 42.9703178 43.4321709 43.9086571 44.4521828 44.9498405 45.6569672 46.3262939 46.9553032 47.5975533 48.3525391 49.1184654 49.8579788 50.5087357 51.3363419 52.1956711 52.9846497 53.8882141 54.584713 55.4207153 56.2392731 57.0290222 57.9857864 58.683876 59.521553 60.356411 61.2589188 62.1007919 62.996788 63.8276367 64.6341019 65.4410553 66.3098907 67.2061005 68.0730972 68.8869324 69.6046677 70.4094696 71.2311249 72.0422287 72.8447418 73.7025909 74.458847 75.2569656 76.0377502 76.7149048 77.4931946 78.3092804 79.2704315 80.2413254 81.2236557 82.3058014 83.368042 84.5830994 85.7917328 87.2258453 88.8465424 90.7901611 92.9819946 95.4135132 98.4687653 102.255524 107.002136 113.798195 126.663284 245.43103 ------------------------------ Transdef: Tab for variable 7 30.1877575 32.4372215 33.6198807 34.2801132 35.0183716 35.5629196 36.1524811 36.5798149 36.9452972 37.3525162 37.6597137 38.0038452 38.3394623 38.6563148 38.8993111 39.2108841 39.5051804 39.8151321 40.1888351 40.4935608 40.869194 41.2143593 41.5676727 41.9662018 42.4095955 42.9540176 43.4957275 44.185463 44.8068237 45.4794884 46.471817 47.2762909 48.245163 49.2389526 50.4427986 51.5335693 52.6262321 53.5862427 54.7344551 55.7598953 56.7136459 57.6923676 58.6731873 59.7379303 60.6847839 61.4047546 62.3972092 63.2758942 64.1734695 65.1686096 66.0581207 66.9908142 67.9136658 68.7302246 69.6768494 70.5799789 71.3925934 72.2037964 73.0677643 73.878891 74.7312469 75.6256561 76.5372162 77.3964081 78.3126297 79.1843643 80.2194443 81.3112488 82.3911133 83.6526794 85.0079956 86.4297714 87.8772888 89.3872375 91.0544052 92.6650085 94.0584106 95.7403641 97.6435242 99.2931519 101.30687 102.99202 104.892044 107.130417 109.117592 111.500961 113.93924 116.571404 119.636078 123.122612 126.681 130.875092 135.871704 141.078613 147.613586 154.952057 163.775513 176.210541 193.896088 229.278763 458.64209 ------------------------------ Transdef: Tab for variable 8 2.83339143 24.7401276 28.5226803 30.7109184 31.7449436 32.5423508 33.207428 33.7268219 34.1479568 34.6892014 35.1411057 35.5060997 35.8691254 36.2806473 36.5608177 36.9012527 37.1859131 37.448143 37.7080307 38.0206718 38.2626305 38.5625 38.8140488 39.0260391 39.3165817 39.6799011 40.0211983 40.3149796 40.6092796 40.9031067 41.2863312 41.6800156 42.0947571 42.5296745 42.9682579 43.3977966 43.8783264 44.4462433 45.0341454 45.6911774 46.34729 46.9413033 47.7142487 48.4129181 49.1276093 49.8822212 50.6818237 51.4380989 52.2401848 52.9737015 53.608139 54.3911514 55.1789017 55.8705215 56.6605835 57.4515305 58.1775284 58.9370956 59.6871719 60.4571266 61.0992088 61.8080597 62.5833359 63.2571106 63.991539 64.7585068 65.4194336 66.1287918 66.8399811 67.5615845 68.2575073 69.0335388 69.7186508 70.4859161 71.1834793 71.9132843 72.6630554 73.363121 74.1148224 74.9262848 75.6871033 76.5275574 77.3736725 78.2145233 78.9901428 79.9762726 81.0091248 82.1016235 83.3367996 84.7668762 86.2683105 87.9496307 89.8579254 92.2106018 94.9042358 98.0393677 102.064194 107.814209 116.73175 134.276825 326.868286 ------------------------------ Transdef: Tab for variable 9 47.1748543 61.4250908 63.7418671 65.6783447 67.0697327 68.2393494 69.2857361 70.2281418 71.1280136 71.7827606 72.7954712 73.5525513 74.1395645 74.8017426 75.4874573 76.0384979 76.6858902 77.065773 77.6466446 78.2369385 78.7317886 79.4049835 79.8981934 80.6569519 81.2981949 81.8806 82.5204468 83.2066269 83.8865204 84.7089996 85.5098572 86.3606873 87.3782349 88.5266266 89.5042572 90.5981903 91.9620819 92.9788666 94.2405853 95.6328278 97.0742188 98.5368042 100.059235 101.632919 103.059891 104.523224 105.784843 107.200531 108.778961 110.349411 111.770615 113.255402 114.70079 116.250992 117.541382 119.062851 120.131927 121.570358 123.072891 124.614098 126.024292 127.372177 128.769272 130.070923 131.385666 132.721252 134.072296 135.382263 136.598206 137.846466 139.035385 140.339935 141.47879 142.604614 143.715515 144.958801 146.027191 147.170685 148.191483 149.515533 150.602112 151.72403 153.009155 154.102707 155.280594 156.318527 157.506622 158.762177 160.140213 161.453506 162.81279 164.439392 166.133652 168.007324 170.121857 172.808807 176.06723 180.947906 189.510498 209.627151 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0335818008 1.01717496 1.36944664 1.60674381 1.7716974 1.89752162 1.99449253 2.0737915 2.15041685 2.21393585 2.27167678 2.32173157 2.36790562 2.40846109 2.44938946 2.47947502 2.50986576 2.53969455 2.56780148 2.59371901 2.61856937 2.64166021 2.66746998 2.68714523 2.70683575 2.72519827 2.74230361 2.75956869 2.77506828 2.78833532 2.80257702 2.81685472 2.82936287 2.84137845 2.85220909 2.86269426 2.87332749 2.88344884 2.89269638 2.90180016 2.91059208 2.91786098 2.92469025 2.93173933 2.93894672 2.94630957 2.95303988 2.95989561 2.96629858 2.97324109 2.97863197 2.98404765 2.98952866 2.99384642 2.9989357 3.00398397 3.00895691 3.01376748 3.01823473 3.02215433 3.02651787 3.03019142 3.03437519 3.03778028 3.0418992 3.04548955 3.04945946 3.0531261 3.05632639 3.05957508 3.06256771 3.06605029 3.069139 3.07273102 3.07542944 3.07806873 3.08163142 3.08453703 3.08753204 3.09038544 3.09331369 3.0954895 3.09815407 3.10081339 3.10372329 3.1058898 3.10867023 3.11168337 3.11386204 3.11582708 3.11811399 3.1208365 3.12329483 3.12599897 3.12842464 3.13063908 3.13225889 3.13445568 3.13690042 3.13912129 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00528096966 0.0105533302 0.0161484368 0.0227086544 0.0298334453 0.0370565727 0.0451992676 0.0526149198 0.0598394275 0.0665921718 0.074339129 0.0807230473 0.0877009928 0.0948358774 0.101867199 0.108079851 0.114676118 0.121664286 0.128658772 0.13603425 0.142682835 0.149532139 0.156021893 0.16197443 0.168726742 0.174263775 0.180342078 0.186727762 0.192451715 0.198322535 0.203321755 0.208381176 0.213402271 0.219027281 0.224097729 0.228687882 0.233718649 0.238369823 0.243497849 0.248494029 0.254007608 0.258809358 0.263448715 0.268610507 0.273531675 0.27849865 0.283031046 0.287559301 0.292785674 0.298170567 0.303038925 0.308094025 0.313544154 0.319278717 0.324620962 0.330254138 0.335843503 0.341388166 0.346314609 0.351654589 0.357456744 0.362087786 0.367669106 0.373650044 0.379560471 0.385830224 0.391160667 0.397157907 0.403192729 0.409561098 0.415166974 0.421819806 0.428496301 0.434243441 0.440854311 0.447716087 0.455130279 0.46434474 0.471182823 0.47762835 0.486447275 0.496181428 0.505836248 0.516033769 0.524879217 0.537421823 0.545418799 0.558765769 0.57326293 0.583758116 0.5976336 0.614003241 0.633509696 0.650443077 0.675989687 0.704424977 0.733050942 0.777359128 0.840616584 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.20004572 0.21080941 0.220055774 0.228799075 0.236655414 0.243989617 0.250153035 0.256779253 0.263874561 0.270792812 0.276785046 0.283367544 0.288916051 0.294541061 0.30055654 0.305852652 0.311277717 0.316486448 0.321783215 0.327282727 0.332811117 0.337461293 0.342492133 0.347890735 0.352376878 0.358071029 0.362812549 0.36768797 0.372297853 0.377105772 0.382313788 0.387198508 0.391724557 0.396764576 0.40132463 0.404876173 0.40852496 0.412115872 0.41512692 0.419047058 0.422336161 0.425865054 0.429600775 0.433315158 0.436701357 0.440212786 0.444043875 0.447625577 0.451410055 0.455287635 0.459207922 0.463330686 0.467638969 0.471718818 0.47587055 0.479068398 0.483040452 0.486795455 0.490798831 0.495308518 0.499518782 0.503918648 0.509126127 0.514102399 0.51975584 0.523767412 0.52925849 0.535441399 0.54173404 0.547429681 0.552040577 0.557349861 0.563270986 0.569785833 0.576339483 0.582468569 0.589067936 0.595633268 0.603047729 0.609875441 0.616934299 0.626577139 0.634026825 0.643245995 0.651329398 0.66089654 0.670843899 0.67888397 0.69303894 0.703684032 0.71532321 0.728745878 0.743162036 0.756047964 0.773523748 0.789580822 0.807730436 0.831303358 0.863893986 0.904917002 1.13414526 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.7863541 22.6934242 23.4884682 24.2506866 24.8853416 25.3635387 25.8385372 26.2740383 26.7888222 27.1916275 27.6156006 28.0829544 28.4485035 28.8613853 29.2595482 29.6334629 30.0411644 30.3597775 30.7287483 31.0374393 31.4320679 31.7742958 32.1582947 32.563633 32.9740906 33.3630447 33.7736244 34.1554451 34.5440903 34.8973885 35.3070793 35.6569366 36.0314178 36.3352051 36.7207108 37.1081772 37.5169067 37.8860321 38.2705345 38.6232834 38.9780884 39.4618492 39.8338242 40.2141075 40.5939789 41.0072136 41.3634796 41.8214874 42.2652435 42.7152443 43.0648499 43.4722137 43.8389359 44.2704391 44.6571579 45.0634346 45.5203247 46.0087585 46.442894 46.8911476 47.3653145 47.8411217 48.255867 48.7634048 49.2940025 49.7552071 50.2945786 50.8179626 51.3219376 51.9632301 52.5321198 53.1368027 53.7462006 54.3123932 54.9410934 55.5094681 56.1852112 56.8784103 57.5654449 58.3720245 59.072403 59.8016129 60.7578735 61.7623367 62.6539497 63.7691612 64.9595184 66.3175354 67.626976 69.0130844 70.7904587 72.7815247 74.9900208 77.240509 79.7073059 83.2641144 87.602829 92.4933243 101.902756 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.6559639 11.1210747 11.6239758 12.0117359 12.3583517 12.7356987 13.0958853 13.4712114 13.7886944 14.0757771 14.4440899 14.7171612 15.0295429 15.3880177 15.6859379 16.0163383 16.3427162 16.7134647 17.0218182 17.3376446 17.6571693 17.9542732 18.2359352 18.5702763 18.9280415 19.1782532 19.5564461 19.9223328 20.2697601 20.6667233 21.0375137 21.3578987 21.6697083 21.9803429 22.325161 22.6640472 22.9927979 23.2630386 23.5652122 23.8858643 24.1978302 24.5338974 24.8437309 25.1568871 25.4767113 25.7665558 26.0282669 26.3253651 26.6245461 26.9511127 27.2541981 27.5737991 27.8384094 28.0228806 28.2540436 28.541481 28.8903694 29.1800289 29.4783592 29.7982254 30.0882072 30.383276 30.722805 31.0475731 31.3779068 31.6610146 32.0239868 32.3668633 32.7396011 33.0713501 33.4187088 33.6735687 33.9905167 34.3845062 34.791008 35.208992 35.6684647 36.0740662 36.5058136 36.9606094 37.4370842 37.967762 38.4626541 39.0584793 39.6165543 40.245636 40.9978256 41.7304192 42.611969 43.4488792 44.3290253 45.4445343 46.7686768 48.0546722 49.7326508 51.9146156 54.3799858 58.0304756 64.3644257 118.720306 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 66.2 53.7 57.2 33.8 52.8 63.2 56.6 65.3 -23.4 -20.6 -44.1 15.7 29.6 2 66.2 100.0 68.8 64.0 41.0 71.0 94.8 77.1 92.2 -44.0 -26.5 -53.5 33.2 38.6 3 53.7 68.8 100.0 53.7 16.4 39.6 71.3 56.7 74.4 -15.7 -28.8 -60.4 61.7 31.5 4 57.2 64.0 53.7 100.0 22.2 42.7 64.2 56.2 70.0 -10.8 -33.1 -66.5 24.8 72.6 5 33.8 41.0 16.4 22.2 100.0 84.9 14.6 62.1 61.6 20.6 -9.1 -16.8 0.0 9.7 6 52.8 71.0 39.6 42.7 84.9 100.0 50.7 80.6 81.3 -6.9 -17.7 -34.5 13.0 23.3 7 63.2 94.8 71.3 64.2 14.6 50.7 100.0 68.1 81.2 -52.7 -25.7 -53.7 36.9 40.1 8 56.6 77.1 56.7 56.2 62.1 80.6 68.1 100.0 84.9 -11.2 -24.8 -47.2 26.1 34.1 9 65.3 92.2 74.4 70.0 61.6 81.3 81.2 84.9 100.0 -20.3 -28.9 -59.2 37.5 43.7 10 -23.4 -44.0 -15.7 -10.8 20.6 -6.9 -52.7 -11.2 -20.3 100.0 2.7 7.8 -5.5 -4.3 11 -20.6 -26.5 -28.8 -33.1 -9.1 -17.7 -25.7 -24.8 -28.9 2.7 100.0 54.0 -10.5 -20.8 12 -44.1 -53.5 -60.4 -66.5 -16.8 -34.5 -53.7 -47.2 -59.2 7.8 54.0 100.0 -29.2 -41.9 13 15.7 33.2 61.7 24.8 0.0 13.0 36.9 26.1 37.5 -5.5 -10.5 -29.2 100.0 51.2 14 29.6 38.6 31.5 72.6 9.7 23.3 40.1 34.1 43.7 -4.3 -20.8 -41.9 51.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 173.138563 TOTAL CORRELATION OF ALL VARIABLES 73.6454951 ROUND 1: MAX CORR ( 73.6419251) AFTER KILLING INPUT VARIABLE 14 CONTR 0.725135128 ROUND 2: MAX CORR ( 73.6383026) AFTER KILLING INPUT VARIABLE 8 CONTR 0.730426551 ROUND 3: MAX CORR ( 73.6205933) AFTER KILLING INPUT VARIABLE 12 CONTR 1.61488456 ROUND 4: MAX CORR ( 73.5675496) AFTER KILLING INPUT VARIABLE 11 CONTR 2.79417297 ROUND 5: MAX CORR ( 73.4995434) AFTER KILLING INPUT VARIABLE 2 CONTR 3.16251208 ROUND 6: MAX CORR ( 73.3528468) AFTER KILLING INPUT VARIABLE 10 CONTR 4.64141502 ROUND 7: MAX CORR ( 73.1149294) AFTER KILLING INPUT VARIABLE 6 CONTR 5.90315436 ROUND 8: MAX CORR ( 72.0036387) AFTER KILLING INPUT VARIABLE 9 CONTR 12.6991702 ROUND 9: MAX CORR ( 70.6376436) AFTER KILLING INPUT VARIABLE 13 CONTR 13.958771 ROUND 10: MAX CORR ( 70.1913233) AFTER KILLING INPUT VARIABLE 3 CONTR 7.92810389 ROUND 11: MAX CORR ( 67.940446) AFTER KILLING INPUT VARIABLE 4 CONTR 17.6328573 ROUND 12: MAX CORR ( 63.223939) AFTER KILLING INPUT VARIABLE 5 CONTR 24.8724293 LAST REMAINING VARIABLE: 7 total correlation to target: 73.6454951 % total significance: 148.374531 sigma correlations of single variables to target: variable 2: 66.2183518 % , in sigma: 133.41097 variable 3: 53.7329289 % , in sigma: 108.256427 variable 4: 57.1557277 % , in sigma: 115.152384 variable 5: 33.8132758 % , in sigma: 68.1240441 variable 6: 52.8058038 % , in sigma: 106.388536 variable 7: 63.223939 % , in sigma: 127.378088 variable 8: 56.6238312 % , in sigma: 114.080765 variable 9: 65.2972709 % , in sigma: 131.555256 variable 10: -23.4317205 % , in sigma: 47.2081902 variable 11: -20.6230979 % , in sigma: 41.5496221 variable 12: -44.0886506 % , in sigma: 88.8259746 variable 13: 15.7078941 % , in sigma: 31.6468974 variable 14: 29.5657499 % , in sigma: 59.5664987 variables sorted by significance: 1 most relevant variable 7 corr 63.223938 , in sigma: 127.378086 2 most relevant variable 5 corr 24.8724289 , in sigma: 50.1108042 3 most relevant variable 4 corr 17.6328564 , in sigma: 35.5251438 4 most relevant variable 3 corr 7.92810392 , in sigma: 15.9728535 5 most relevant variable 13 corr 13.9587708 , in sigma: 28.122916 6 most relevant variable 9 corr 12.6991701 , in sigma: 25.5851823 7 most relevant variable 6 corr 5.90315437 , in sigma: 11.8931615 8 most relevant variable 10 corr 4.64141512 , in sigma: 9.35111907 9 most relevant variable 2 corr 3.16251206 , in sigma: 6.37155396 10 most relevant variable 11 corr 2.794173 , in sigma: 5.62945648 11 most relevant variable 12 corr 1.61488461 , in sigma: 3.25352892 12 most relevant variable 8 corr 0.73042655 , in sigma: 1.47159982 13 most relevant variable 14 corr 0.725135148 , in sigma: 1.46093916 global correlations between input variables: variable 2: 99.2637491 % variable 3: 92.8158597 % variable 4: 92.463679 % variable 5: 95.4594969 % variable 6: 94.5781987 % variable 7: 98.9102808 % variable 8: 90.2611909 % variable 9: 98.8262877 % variable 10: 71.9483792 % variable 11: 54.9488093 % variable 12: 78.9306057 % variable 13: 84.2930518 % variable 14: 88.1451241 % significance loss when removing single variables: variable 2: corr = 2.72455407 % , sigma = 5.48919433 variable 3: corr = 17.7759294 % , sigma = 35.8133948 variable 4: corr = 15.1427654 % , sigma = 30.5083253 variable 5: corr = 12.6702177 % , sigma = 25.5268514 variable 6: corr = 4.92356445 % , sigma = 9.91956898 variable 7: corr = 6.13914718 % , sigma = 12.3686192 variable 8: corr = 0.735666307 % , sigma = 1.48215642 variable 9: corr = 12.5353802 % , sigma = 25.2551926 variable 10: corr = 3.84022215 % , sigma = 7.73694524 variable 11: corr = 1.73427261 % , sigma = 3.49406145 variable 12: corr = 1.64656942 % , sigma = 3.31736471 variable 13: corr = 8.48991651 % , sigma = 17.1047446 variable 14: corr = 0.725135128 % , sigma = 1.46093912 Keep only 10 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 11 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 20.9219055 sigma out 15 active outputs RANK 2 NODE 11 --> 20.3492985 sigma out 15 active outputs RANK 3 NODE 7 --> 16.8843021 sigma out 15 active outputs RANK 4 NODE 5 --> 16.690073 sigma out 15 active outputs RANK 5 NODE 9 --> 14.7428741 sigma out 15 active outputs RANK 6 NODE 6 --> 14.4591389 sigma out 15 active outputs RANK 7 NODE 8 --> 13.8083162 sigma out 15 active outputs RANK 8 NODE 4 --> 13.5072403 sigma out 15 active outputs RANK 9 NODE 2 --> 12.6568489 sigma out 15 active outputs RANK 10 NODE 10 --> 12.5498838 sigma out 15 active outputs RANK 11 NODE 3 --> 10.6466379 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 26.0030766 sigma in 11act. ( 23.5669842 sig out 1act.) RANK 2 NODE 4 --> 22.4242554 sigma in 11act. ( 22.5715542 sig out 1act.) RANK 3 NODE 5 --> 20.9469185 sigma in 11act. ( 22.6413116 sig out 1act.) RANK 4 NODE 8 --> 17.2267895 sigma in 11act. ( 19.1290894 sig out 1act.) RANK 5 NODE 3 --> 13.1679611 sigma in 11act. ( 15.4142761 sig out 1act.) RANK 6 NODE 11 --> 12.314765 sigma in 11act. ( 12.3206577 sig out 1act.) RANK 7 NODE 13 --> 10.8383245 sigma in 11act. ( 12.7984905 sig out 1act.) RANK 8 NODE 12 --> 10.5417223 sigma in 11act. ( 10.1117086 sig out 1act.) RANK 9 NODE 6 --> 7.07600975 sigma in 11act. ( 5.04045868 sig out 1act.) RANK 10 NODE 14 --> 6.48796749 sigma in 11act. ( 6.94747686 sig out 1act.) RANK 11 NODE 2 --> 6.29826117 sigma in 11act. ( 3.0625329 sig out 1act.) RANK 12 NODE 7 --> 4.0816493 sigma in 11act. ( 0.125205517 sig out 1act.) RANK 13 NODE 1 --> 3.57584786 sigma in 11act. ( 5.89991379 sig out 1act.) RANK 14 NODE 9 --> 3.14934945 sigma in 11act. ( 4.63290977 sig out 1act.) RANK 15 NODE 10 --> 2.57942176 sigma in 11act. ( 4.45846081 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 23.5669842 sigma out 1act.( 26.0030766 sig in 11act.) RANK 2 NODE 5 --> 22.6413116 sigma out 1act.( 20.9469185 sig in 11act.) RANK 3 NODE 4 --> 22.5715542 sigma out 1act.( 22.4242554 sig in 11act.) RANK 4 NODE 8 --> 19.1290894 sigma out 1act.( 17.2267895 sig in 11act.) RANK 5 NODE 3 --> 15.4142761 sigma out 1act.( 13.1679611 sig in 11act.) RANK 6 NODE 13 --> 12.7984905 sigma out 1act.( 10.8383245 sig in 11act.) RANK 7 NODE 11 --> 12.3206577 sigma out 1act.( 12.314765 sig in 11act.) RANK 8 NODE 12 --> 10.1117086 sigma out 1act.( 10.5417223 sig in 11act.) RANK 9 NODE 14 --> 6.94747686 sigma out 1act.( 6.48796749 sig in 11act.) RANK 10 NODE 1 --> 5.89991379 sigma out 1act.( 3.57584786 sig in 11act.) RANK 11 NODE 6 --> 5.04045868 sigma out 1act.( 7.07600975 sig in 11act.) RANK 12 NODE 9 --> 4.63290977 sigma out 1act.( 3.14934945 sig in 11act.) RANK 13 NODE 10 --> 4.45846081 sigma out 1act.( 2.57942176 sig in 11act.) RANK 14 NODE 2 --> 3.0625329 sigma out 1act.( 6.29826117 sig in 11act.) RANK 15 NODE 7 --> 0.125205517 sigma out 1act.( 4.0816493 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 52.5175629 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 21.9430332 sigma out 15 active outputs RANK 2 NODE 1 --> 21.3606129 sigma out 15 active outputs RANK 3 NODE 11 --> 20.086359 sigma out 15 active outputs RANK 4 NODE 7 --> 19.3808861 sigma out 15 active outputs RANK 5 NODE 5 --> 17.0506248 sigma out 15 active outputs RANK 6 NODE 6 --> 16.3080482 sigma out 15 active outputs RANK 7 NODE 9 --> 14.9229603 sigma out 15 active outputs RANK 8 NODE 8 --> 13.3397198 sigma out 15 active outputs RANK 9 NODE 4 --> 13.1964331 sigma out 15 active outputs RANK 10 NODE 10 --> 12.1286526 sigma out 15 active outputs RANK 11 NODE 3 --> 12.0415316 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 23.3897648 sigma in 11act. ( 21.564436 sig out 1act.) RANK 2 NODE 8 --> 21.1289082 sigma in 11act. ( 19.2888145 sig out 1act.) RANK 3 NODE 5 --> 20.912323 sigma in 11act. ( 21.0447788 sig out 1act.) RANK 4 NODE 4 --> 20.1934433 sigma in 11act. ( 20.1782627 sig out 1act.) RANK 5 NODE 13 --> 15.4658098 sigma in 11act. ( 12.5307961 sig out 1act.) RANK 6 NODE 3 --> 15.4384031 sigma in 11act. ( 14.069005 sig out 1act.) RANK 7 NODE 12 --> 12.1163788 sigma in 11act. ( 8.92123413 sig out 1act.) RANK 8 NODE 11 --> 11.9390268 sigma in 11act. ( 11.0666246 sig out 1act.) RANK 9 NODE 1 --> 11.7968721 sigma in 11act. ( 7.03923607 sig out 1act.) RANK 10 NODE 10 --> 11.0026083 sigma in 11act. ( 5.89733744 sig out 1act.) RANK 11 NODE 14 --> 9.81649876 sigma in 11act. ( 6.47455025 sig out 1act.) RANK 12 NODE 9 --> 8.7509222 sigma in 11act. ( 5.41401434 sig out 1act.) RANK 13 NODE 7 --> 6.41899538 sigma in 11act. ( 0.727078617 sig out 1act.) RANK 14 NODE 6 --> 5.71394014 sigma in 11act. ( 3.7128861 sig out 1act.) RANK 15 NODE 2 --> 5.28273296 sigma in 11act. ( 2.14132261 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 21.564436 sigma out 1act.( 23.3897648 sig in 11act.) RANK 2 NODE 5 --> 21.0447788 sigma out 1act.( 20.912323 sig in 11act.) RANK 3 NODE 4 --> 20.1782627 sigma out 1act.( 20.1934433 sig in 11act.) RANK 4 NODE 8 --> 19.2888145 sigma out 1act.( 21.1289082 sig in 11act.) RANK 5 NODE 3 --> 14.069005 sigma out 1act.( 15.4384031 sig in 11act.) RANK 6 NODE 13 --> 12.5307961 sigma out 1act.( 15.4658098 sig in 11act.) RANK 7 NODE 11 --> 11.0666246 sigma out 1act.( 11.9390268 sig in 11act.) RANK 8 NODE 12 --> 8.92123413 sigma out 1act.( 12.1163788 sig in 11act.) RANK 9 NODE 1 --> 7.03923607 sigma out 1act.( 11.7968721 sig in 11act.) RANK 10 NODE 14 --> 6.47455025 sigma out 1act.( 9.81649876 sig in 11act.) RANK 11 NODE 10 --> 5.89733744 sigma out 1act.( 11.0026083 sig in 11act.) RANK 12 NODE 9 --> 5.41401434 sigma out 1act.( 8.7509222 sig in 11act.) RANK 13 NODE 6 --> 3.7128861 sigma out 1act.( 5.71394014 sig in 11act.) RANK 14 NODE 2 --> 2.14132261 sigma out 1act.( 5.28273296 sig in 11act.) RANK 15 NODE 7 --> 0.727078617 sigma out 1act.( 6.41899538 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 49.1793137 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.424593359 *** contribution from regularisation: 0.00421133963 *** contribution from error: -0.428804696 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.476169914 *** contribution from regularisation: 0.00232669874 *** contribution from error: -0.478496611 *********************************************** -----------------> Test sample ENTER BFGS code START -45792.8774 0.0605659448 -0.103513286 EXIT FROM BFGS code FG_START 0. 0.0605659448 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.502070487 *** contribution from regularisation: 0.00229380373 *** contribution from error: -0.504364312 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -48273.5735 0.0605659448 -22.0674114 EXIT FROM BFGS code FG_LNSRCH 0. 0.0576170459 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.5517717 *** contribution from regularisation: 0.00302449381 *** contribution from error: -0.554796219 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53052.2972 0.0576170459 -1.0991888 EXIT FROM BFGS code NEW_X -53052.2972 0.0576170459 -1.0991888 ENTER BFGS code NEW_X -53052.2972 0.0576170459 -1.0991888 EXIT FROM BFGS code FG_LNSRCH 0. 0.0573743843 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.55703634 *** contribution from regularisation: 0.00320154428 *** contribution from error: -0.560237885 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53558.4852 0.0573743843 -0.99148339 EXIT FROM BFGS code NEW_X -53558.4852 0.0573743843 -0.99148339 ENTER BFGS code NEW_X -53558.4852 0.0573743843 -0.99148339 EXIT FROM BFGS code FG_LNSRCH 0. 0.0567515604 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.559979439 *** contribution from regularisation: 0.00305063161 *** contribution from error: -0.563030064 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53841.4622 0.0567515604 -1.61496234 EXIT FROM BFGS code NEW_X -53841.4622 0.0567515604 -1.61496234 ENTER BFGS code NEW_X -53841.4622 0.0567515604 -1.61496234 EXIT FROM BFGS code FG_LNSRCH 0. 0.0547138788 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.561653137 *** contribution from regularisation: 0.00298115588 *** contribution from error: -0.564634264 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54002.3856 0.0547138788 0.950502872 EXIT FROM BFGS code NEW_X -54002.3856 0.0547138788 0.950502872 ENTER BFGS code NEW_X -54002.3856 0.0547138788 0.950502872 EXIT FROM BFGS code FG_LNSRCH 0. 0.0548845865 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.562445581 *** contribution from regularisation: 0.0028735688 *** contribution from error: -0.565319121 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54078.5806 0.0548845865 -6.50124884 EXIT FROM BFGS code NEW_X -54078.5806 0.0548845865 -6.50124884 ENTER BFGS code NEW_X -54078.5806 0.0548845865 -6.50124884 EXIT FROM BFGS code FG_LNSRCH 0. 0.0532066002 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.563177526 *** contribution from regularisation: 0.00286372192 *** contribution from error: -0.566041231 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54148.9546 0.0532066002 -6.45933819 EXIT FROM BFGS code NEW_X -54148.9546 0.0532066002 -6.45933819 ENTER BFGS code NEW_X -54148.9546 0.0532066002 -6.45933819 EXIT FROM BFGS code FG_LNSRCH 0. 0.0470619462 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 41.1440392 sigma out 15 active outputs RANK 2 NODE 1 --> 29.6282692 sigma out 15 active outputs RANK 3 NODE 6 --> 19.5642414 sigma out 15 active outputs RANK 4 NODE 8 --> 17.9277096 sigma out 15 active outputs RANK 5 NODE 9 --> 17.4448471 sigma out 15 active outputs RANK 6 NODE 10 --> 17.102005 sigma out 15 active outputs RANK 7 NODE 4 --> 16.9954834 sigma out 15 active outputs RANK 8 NODE 11 --> 16.0861416 sigma out 15 active outputs RANK 9 NODE 5 --> 15.7292614 sigma out 15 active outputs RANK 10 NODE 7 --> 13.841445 sigma out 15 active outputs RANK 11 NODE 3 --> 10.2244663 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 34.9103394 sigma in 11act. ( 26.8583641 sig out 1act.) RANK 2 NODE 10 --> 25.7287445 sigma in 11act. ( 23.3409615 sig out 1act.) RANK 3 NODE 15 --> 25.3003197 sigma in 11act. ( 24.5234089 sig out 1act.) RANK 4 NODE 8 --> 23.379631 sigma in 11act. ( 20.7905083 sig out 1act.) RANK 5 NODE 13 --> 22.5972786 sigma in 11act. ( 17.8208179 sig out 1act.) RANK 6 NODE 3 --> 18.0638065 sigma in 11act. ( 16.7043514 sig out 1act.) RANK 7 NODE 9 --> 17.2282524 sigma in 11act. ( 14.6407709 sig out 1act.) RANK 8 NODE 5 --> 13.6325054 sigma in 11act. ( 12.339407 sig out 1act.) RANK 9 NODE 7 --> 12.0685844 sigma in 11act. ( 11.6860657 sig out 1act.) RANK 10 NODE 14 --> 11.5588589 sigma in 11act. ( 10.8416033 sig out 1act.) RANK 11 NODE 4 --> 11.3573542 sigma in 11act. ( 10.8466797 sig out 1act.) RANK 12 NODE 12 --> 9.98047161 sigma in 11act. ( 8.87980652 sig out 1act.) RANK 13 NODE 11 --> 7.01297903 sigma in 11act. ( 5.38875961 sig out 1act.) RANK 14 NODE 2 --> 3.29124618 sigma in 11act. ( 1.31739914 sig out 1act.) RANK 15 NODE 6 --> 2.80974054 sigma in 11act. ( 0.673242033 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 26.8583641 sigma out 1act.( 34.9103394 sig in 11act.) RANK 2 NODE 15 --> 24.5234089 sigma out 1act.( 25.3003197 sig in 11act.) RANK 3 NODE 10 --> 23.3409615 sigma out 1act.( 25.7287445 sig in 11act.) RANK 4 NODE 8 --> 20.7905083 sigma out 1act.( 23.379631 sig in 11act.) RANK 5 NODE 13 --> 17.8208179 sigma out 1act.( 22.5972786 sig in 11act.) RANK 6 NODE 3 --> 16.7043514 sigma out 1act.( 18.0638065 sig in 11act.) RANK 7 NODE 9 --> 14.6407709 sigma out 1act.( 17.2282524 sig in 11act.) RANK 8 NODE 5 --> 12.339407 sigma out 1act.( 13.6325054 sig in 11act.) RANK 9 NODE 7 --> 11.6860657 sigma out 1act.( 12.0685844 sig in 11act.) RANK 10 NODE 4 --> 10.8466797 sigma out 1act.( 11.3573542 sig in 11act.) RANK 11 NODE 14 --> 10.8416033 sigma out 1act.( 11.5588589 sig in 11act.) RANK 12 NODE 12 --> 8.87980652 sigma out 1act.( 9.98047161 sig in 11act.) RANK 13 NODE 11 --> 5.38875961 sigma out 1act.( 7.01297903 sig in 11act.) RANK 14 NODE 2 --> 1.31739914 sigma out 1act.( 3.29124618 sig in 11act.) RANK 15 NODE 6 --> 0.673242033 sigma out 1act.( 2.80974054 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 61.1954155 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.563952684 *** contribution from regularisation: 0.00291626342 *** contribution from error: -0.566868961 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54223.4846 0.0470619462 -5.05445385 EXIT FROM BFGS code NEW_X -54223.4846 0.0470619462 -5.05445385 ENTER BFGS code NEW_X -54223.4846 0.0470619462 -5.05445385 EXIT FROM BFGS code FG_LNSRCH 0. 0.0419087783 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.564314902 *** contribution from regularisation: 0.00298291235 *** contribution from error: -0.567297816 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54258.3121 0.0419087783 4.89111805 EXIT FROM BFGS code NEW_X -54258.3121 0.0419087783 4.89111805 ENTER BFGS code NEW_X -54258.3121 0.0419087783 4.89111805 EXIT FROM BFGS code FG_LNSRCH 0. 0.0418489724 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.564609885 *** contribution from regularisation: 0.00292845187 *** contribution from error: -0.567538321 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54286.6731 0.0418489724 3.64680624 EXIT FROM BFGS code NEW_X -54286.6731 0.0418489724 3.64680624 ENTER BFGS code NEW_X -54286.6731 0.0418489724 3.64680624 EXIT FROM BFGS code FG_LNSRCH 0. 0.0396133214 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.565119565 *** contribution from regularisation: 0.00297731953 *** contribution from error: -0.568096876 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54335.6823 0.0396133214 -2.89962149 EXIT FROM BFGS code NEW_X -54335.6823 0.0396133214 -2.89962149 ENTER BFGS code NEW_X -54335.6823 0.0396133214 -2.89962149 EXIT FROM BFGS code FG_LNSRCH 0. 0.0376713723 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.565341592 *** contribution from regularisation: 0.00302236411 *** contribution from error: -0.568363965 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54357.0295 0.0376713723 -2.84040666 EXIT FROM BFGS code NEW_X -54357.0295 0.0376713723 -2.84040666 ENTER BFGS code NEW_X -54357.0295 0.0376713723 -2.84040666 EXIT FROM BFGS code FG_LNSRCH 0. 0.0281563494 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.5653736 *** contribution from regularisation: 0.00320268865 *** contribution from error: -0.568576276 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54360.1068 0.0281563494 -19.7437267 EXIT FROM BFGS code FG_LNSRCH 0. 0.0334023014 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.565871716 *** contribution from regularisation: 0.00297733722 *** contribution from error: -0.568849027 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54407.9992 0.0334023014 -7.99933481 EXIT FROM BFGS code NEW_X -54407.9992 0.0334023014 -7.99933481 ENTER BFGS code NEW_X -54407.9992 0.0334023014 -7.99933481 EXIT FROM BFGS code FG_LNSRCH 0. 0.0257849582 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.566015601 *** contribution from regularisation: 0.00312885409 *** contribution from error: -0.569144428 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54421.8314 0.0257849582 20.9400539 EXIT FROM BFGS code NEW_X -54421.8314 0.0257849582 20.9400539 ENTER BFGS code NEW_X -54421.8314 0.0257849582 20.9400539 EXIT FROM BFGS code FG_LNSRCH 0. 0.030461587 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.566238165 *** contribution from regularisation: 0.00302267005 *** contribution from error: -0.569260836 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54443.233 0.030461587 5.24881315 EXIT FROM BFGS code NEW_X -54443.233 0.030461587 5.24881315 ENTER BFGS code NEW_X -54443.233 0.030461587 5.24881315 EXIT FROM BFGS code FG_LNSRCH 0. 0.0325314067 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.566303313 *** contribution from regularisation: 0.0030300275 *** contribution from error: -0.569333315 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54449.4944 0.0325314067 -2.28462863 EXIT FROM BFGS code NEW_X -54449.4944 0.0325314067 -2.28462863 ENTER BFGS code NEW_X -54449.4944 0.0325314067 -2.28462863 EXIT FROM BFGS code FG_LNSRCH 0. 0.0374740958 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 49.0432663 sigma out 15 active outputs RANK 2 NODE 4 --> 35.5668373 sigma out 15 active outputs RANK 3 NODE 1 --> 34.1497803 sigma out 15 active outputs RANK 4 NODE 10 --> 29.7597809 sigma out 15 active outputs RANK 5 NODE 6 --> 27.0995579 sigma out 15 active outputs RANK 6 NODE 5 --> 24.7352943 sigma out 15 active outputs RANK 7 NODE 9 --> 22.3451767 sigma out 15 active outputs RANK 8 NODE 11 --> 21.4135857 sigma out 15 active outputs RANK 9 NODE 8 --> 20.1002197 sigma out 15 active outputs RANK 10 NODE 7 --> 19.8627377 sigma out 15 active outputs RANK 11 NODE 3 --> 13.063653 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 49.0138702 sigma in 11act. ( 47.0708656 sig out 1act.) RANK 2 NODE 1 --> 45.206028 sigma in 11act. ( 38.5527 sig out 1act.) RANK 3 NODE 10 --> 35.8878174 sigma in 11act. ( 32.8715324 sig out 1act.) RANK 4 NODE 8 --> 29.4518757 sigma in 11act. ( 26.5196857 sig out 1act.) RANK 5 NODE 13 --> 23.0044956 sigma in 11act. ( 17.3187885 sig out 1act.) RANK 6 NODE 7 --> 20.7153893 sigma in 11act. ( 20.0499401 sig out 1act.) RANK 7 NODE 9 --> 18.6609249 sigma in 11act. ( 14.8780451 sig out 1act.) RANK 8 NODE 14 --> 17.7791882 sigma in 11act. ( 18.602787 sig out 1act.) RANK 9 NODE 3 --> 16.7115345 sigma in 11act. ( 14.345046 sig out 1act.) RANK 10 NODE 5 --> 14.8795729 sigma in 11act. ( 14.4507093 sig out 1act.) RANK 11 NODE 12 --> 11.8787746 sigma in 11act. ( 11.053751 sig out 1act.) RANK 12 NODE 4 --> 9.89932156 sigma in 11act. ( 10.052434 sig out 1act.) RANK 13 NODE 11 --> 3.82200623 sigma in 11act. ( 0.204870686 sig out 1act.) RANK 14 NODE 2 --> 3.11808062 sigma in 11act. ( 2.19528174 sig out 1act.) RANK 15 NODE 6 --> 2.70260382 sigma in 11act. ( 2.25208688 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 47.0708656 sigma out 1act.( 49.0138702 sig in 11act.) RANK 2 NODE 1 --> 38.5527 sigma out 1act.( 45.206028 sig in 11act.) RANK 3 NODE 10 --> 32.8715324 sigma out 1act.( 35.8878174 sig in 11act.) RANK 4 NODE 8 --> 26.5196857 sigma out 1act.( 29.4518757 sig in 11act.) RANK 5 NODE 7 --> 20.0499401 sigma out 1act.( 20.7153893 sig in 11act.) RANK 6 NODE 14 --> 18.602787 sigma out 1act.( 17.7791882 sig in 11act.) RANK 7 NODE 13 --> 17.3187885 sigma out 1act.( 23.0044956 sig in 11act.) RANK 8 NODE 9 --> 14.8780451 sigma out 1act.( 18.6609249 sig in 11act.) RANK 9 NODE 5 --> 14.4507093 sigma out 1act.( 14.8795729 sig in 11act.) RANK 10 NODE 3 --> 14.345046 sigma out 1act.( 16.7115345 sig in 11act.) RANK 11 NODE 12 --> 11.053751 sigma out 1act.( 11.8787746 sig in 11act.) RANK 12 NODE 4 --> 10.052434 sigma out 1act.( 9.89932156 sig in 11act.) RANK 13 NODE 6 --> 2.25208688 sigma out 1act.( 2.70260382 sig in 11act.) RANK 14 NODE 2 --> 2.19528174 sigma out 1act.( 3.11808062 sig in 11act.) RANK 15 NODE 11 --> 0.204870686 sigma out 1act.( 3.82200623 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 86.0403519 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.566493332 *** contribution from regularisation: 0.0029674836 *** contribution from error: -0.569460809 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54467.7662 0.0374740958 -15.315361 EXIT FROM BFGS code NEW_X -54467.7662 0.0374740958 -15.315361 ENTER BFGS code NEW_X -54467.7662 0.0374740958 -15.315361 EXIT FROM BFGS code FG_LNSRCH 0. 0.0436852872 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.566601098 *** contribution from regularisation: 0.00291290763 *** contribution from error: -0.569513977 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54478.1288 0.0436852872 -14.8541183 EXIT FROM BFGS code NEW_X -54478.1288 0.0436852872 -14.8541183 ENTER BFGS code NEW_X -54478.1288 0.0436852872 -14.8541183 EXIT FROM BFGS code FG_LNSRCH 0. 0.0494014658 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.566313922 *** contribution from regularisation: 0.0028112696 *** contribution from error: -0.569125175 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54450.5161 0.0494014658 -7.55925131 EXIT FROM BFGS code FG_LNSRCH 0. 0.0451057851 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.566160619 *** contribution from regularisation: 0.00338808401 *** contribution from error: -0.569548726 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54435.7795 0.0451057851 -13.5678864 EXIT FROM BFGS code FG_LNSRCH 0. 0.0437489338 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.566392303 *** contribution from regularisation: 0.00312537234 *** contribution from error: -0.569517672 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54458.0531 0.0437489338 -14.7780361 EXIT FROM BFGS code FG_LNSRCH 0. 0.0436856076 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.566432357 *** contribution from regularisation: 0.00308169145 *** contribution from error: -0.569514036 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54461.9019 0.0436856076 -14.8252831 EXIT FROM BFGS code FG_LNSRCH 0. 0.0436852872 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.566430032 *** contribution from regularisation: 0.00308399973 *** contribution from error: -0.569514036 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54461.6784 0.0436852872 -14.8246861 EXIT FROM BFGS code FG_LNSRCH 0. 0.0436852872 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.566430807 *** contribution from regularisation: 0.00308319996 *** contribution from error: -0.569514036 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54461.7553 0.0436852872 -14.8212404 EXIT FROM BFGS code FG_LNSRCH 0. 0.0436852872 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.566420913 *** contribution from regularisation: 0.00309310155 *** contribution from error: -0.569514036 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54460.8033 0.0436852872 -14.815074 EXIT FROM BFGS code FG_LNSRCH 0. 0.0436852872 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.566438556 *** contribution from regularisation: 0.00307544996 *** contribution from error: -0.569513977 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54462.5005 0.0436852872 -14.8152266 EXIT FROM BFGS code NEW_X -54462.5005 0.0436852872 -14.8152266 ENTER BFGS code NEW_X -54462.5005 0.0436852872 -14.8152266 EXIT FROM BFGS code CONVERGENC -54462.5005 0.0436852872 -14.8152266 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 73.3988571 sigma out 15 active outputs RANK 2 NODE 4 --> 51.844017 sigma out 15 active outputs RANK 3 NODE 1 --> 51.5584793 sigma out 15 active outputs RANK 4 NODE 10 --> 42.541832 sigma out 15 active outputs RANK 5 NODE 6 --> 39.4808846 sigma out 15 active outputs RANK 6 NODE 5 --> 34.5341949 sigma out 15 active outputs RANK 7 NODE 9 --> 32.8316231 sigma out 15 active outputs RANK 8 NODE 11 --> 30.5289288 sigma out 15 active outputs RANK 9 NODE 7 --> 29.5508633 sigma out 15 active outputs RANK 10 NODE 8 --> 26.5492802 sigma out 15 active outputs RANK 11 NODE 3 --> 21.7676964 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 71.7814102 sigma in 11act. ( 68.3756027 sig out 1act.) RANK 2 NODE 1 --> 66.528244 sigma in 11act. ( 57.9799614 sig out 1act.) RANK 3 NODE 10 --> 51.4497948 sigma in 11act. ( 49.7542763 sig out 1act.) RANK 4 NODE 8 --> 43.3289642 sigma in 11act. ( 39.6946106 sig out 1act.) RANK 5 NODE 13 --> 33.5994835 sigma in 11act. ( 25.4206257 sig out 1act.) RANK 6 NODE 7 --> 32.5591774 sigma in 11act. ( 31.7855892 sig out 1act.) RANK 7 NODE 9 --> 26.9675541 sigma in 11act. ( 22.4807911 sig out 1act.) RANK 8 NODE 14 --> 25.7821751 sigma in 11act. ( 27.2400665 sig out 1act.) RANK 9 NODE 3 --> 24.0861874 sigma in 11act. ( 20.8246765 sig out 1act.) RANK 10 NODE 5 --> 22.2890472 sigma in 11act. ( 21.8515511 sig out 1act.) RANK 11 NODE 12 --> 17.6421833 sigma in 11act. ( 17.0176258 sig out 1act.) RANK 12 NODE 4 --> 15.5766163 sigma in 11act. ( 17.061451 sig out 1act.) RANK 13 NODE 2 --> 3.95830822 sigma in 11act. ( 3.19251132 sig out 1act.) RANK 14 NODE 11 --> 3.90019441 sigma in 11act. ( 0.804486036 sig out 1act.) RANK 15 NODE 6 --> 3.27946234 sigma in 11act. ( 2.90970421 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 68.3756027 sigma out 1act.( 71.7814102 sig in 11act.) RANK 2 NODE 1 --> 57.9799614 sigma out 1act.( 66.528244 sig in 11act.) RANK 3 NODE 10 --> 49.7542763 sigma out 1act.( 51.4497948 sig in 11act.) RANK 4 NODE 8 --> 39.6946106 sigma out 1act.( 43.3289642 sig in 11act.) RANK 5 NODE 7 --> 31.7855892 sigma out 1act.( 32.5591774 sig in 11act.) RANK 6 NODE 14 --> 27.2400665 sigma out 1act.( 25.7821751 sig in 11act.) RANK 7 NODE 13 --> 25.4206257 sigma out 1act.( 33.5994835 sig in 11act.) RANK 8 NODE 9 --> 22.4807911 sigma out 1act.( 26.9675541 sig in 11act.) RANK 9 NODE 5 --> 21.8515511 sigma out 1act.( 22.2890472 sig in 11act.) RANK 10 NODE 3 --> 20.8246765 sigma out 1act.( 24.0861874 sig in 11act.) RANK 11 NODE 4 --> 17.061451 sigma out 1act.( 15.5766163 sig in 11act.) RANK 12 NODE 12 --> 17.0176258 sigma out 1act.( 17.6421833 sig in 11act.) RANK 13 NODE 2 --> 3.19251132 sigma out 1act.( 3.95830822 sig in 11act.) RANK 14 NODE 6 --> 2.90970421 sigma out 1act.( 3.27946234 sig in 11act.) RANK 15 NODE 11 --> 0.804486036 sigma out 1act.( 3.90019441 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 128.464554 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.566427827 *** contribution from regularisation: 0.00308619556 *** contribution from error: -0.569514036 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 27567 Closing output file done