NNInput NNInputs_165.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= 17173 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 = 4342 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4342 Chosen entries: 4342 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.338399 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4342 Entries to split: 4342 Test with : 2171 Train with : 2171 ********************************************* * 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= 4342 for Signal Prepared event 0 for Signal with 4342 events ====Entry 0 Variable Ht : 226.736 Variable LepAPt : 26.2031 Variable LepBPt : 25.4958 Variable MetSigLeptonsJets : 9.92918 Variable MetSpec : 108.133 Variable SumEtLeptonsJets : 118.602 Variable VSumJetLeptonsPt : 98.213 Variable addEt : 159.833 Variable dPhiLepSumMet : 2.34043 Variable dPhiLeptons : 0.2651 Variable dRLeptons : 0.473088 Variable lep1_E : 39.4413 Variable lep2_E : 29.8316 ===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 = 2165 Ht = 226.736 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 26.2033 LepAPt = 26.2031 LepBEt = 25.4958 LepBPt = 25.4958 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 108.133 MetDelPhi = 2.20605 MetSig = 8.91878 MetSigLeptonsJets = 9.92918 MetSpec = 108.133 Mjj = 0 MostCentralJetEta = 0.0293313 MtllMet = 171.613 Njets = 1 SB = 0 SumEt = 146.997 SumEtJets = 0 SumEtLeptonsJets = 118.602 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 98.213 addEt = 159.833 dPhiLepSumMet = 2.34043 dPhiLeptons = 0.2651 dRLeptons = 0.473088 diltype = 54 dimass = 12.272 event = 1001 jet1_Et = 66.9034 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 39.4413 lep2_E = 29.8316 rand = 0.999742 run = 237144 weight = 3.48998e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 2.34267 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 419 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 17173 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 419 negative weights. Signal fraction: 75.6934967 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.8076553 62.8023148 68.4831848 71.7969055 74.3359299 77.0152054 77.9192505 79.26651 80.9676208 81.0159607 81.9884033 83.1992569 83.411972 84.6904526 86.017128 86.5702972 87.5485764 88.648407 89.9033966 91.5471802 92.8309402 93.3867798 94.1351776 95.4403534 96.5757141 98.421669 99.0402527 99.4756927 99.9576187 100.832123 101.633537 102.310394 103.395889 104.347931 105.622467 106.073059 106.717369 107.546822 108.936096 110.067398 111.370804 112.779572 113.934219 114.581818 116.082191 117.565094 118.969627 119.975861 121.077377 122.273392 123.734291 124.943832 126.086845 127.158875 128.300415 129.64386 130.860168 131.679901 133.071213 133.601028 135.140472 136.239044 137.212067 138.469177 139.447723 141.044159 142.615814 143.934006 145.008408 146.654312 148.087921 149.423157 150.895966 152.625549 154.377411 156.206665 158.218491 159.295013 160.836395 163.324524 165.143784 167.220886 169.397675 171.23912 174.49585 178.244598 181.659698 186.064148 189.72641 193.810257 198.794846 202.31427 206.671814 213.115646 220.465332 229.508438 239.371429 249.478577 272.260986 309.501038 562.496582 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.5600395 20.9947815 21.4980583 21.6028366 22.02001 22.208149 22.539463 22.6693916 22.8734455 23.2441273 23.6207981 23.8914413 24.2741852 24.6313267 24.8776436 25.2207603 25.5321026 25.6058064 25.9232483 26.1721382 26.4569168 26.7229652 26.9693947 27.1081657 27.3625793 27.6946526 27.8340912 28.0813103 28.2635765 28.3619423 28.6774292 28.8580456 29.0457115 29.1505852 29.3367462 29.5700951 29.6651688 29.7462406 29.8696423 30.0020866 30.2013779 30.4380722 30.664093 30.7481804 30.9588451 31.2665367 31.5444813 31.7797203 32.0797501 32.178566 32.3354797 32.4665184 32.7111359 32.7595596 32.9193802 33.1136475 33.290329 33.5206604 33.6895256 33.8331833 33.9959793 34.1450272 34.3173676 34.6106911 34.7904091 35.0730438 35.3142395 35.4630165 35.7860641 35.9348602 36.0612411 36.3844147 36.6206741 36.7672501 37.1028709 37.3295364 37.5869598 37.9288101 38.3242264 38.6058044 38.9448318 39.3100739 39.7030983 40.0933113 40.3322144 40.7467499 41.0897789 41.4573479 42.2675552 42.8359146 43.6334686 44.5273972 45.3276787 46.2627716 47.1657867 47.8258972 49.6564865 52.3690033 56.3219223 85.8337784 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.182045 10.3395958 10.4093504 10.4504099 10.5083904 10.6449814 10.7596684 10.8568134 10.9797039 11.1557512 11.3517914 11.4615326 11.5724678 11.7348118 11.8461103 11.9962311 12.2336597 12.3061218 12.5070744 12.7743254 12.9971733 13.3204212 13.5574379 13.6176329 13.7481985 13.8134995 13.9839592 14.2711449 14.4139652 14.7030973 14.8462334 15.0817213 15.2465868 15.5963917 15.8180323 16.1046734 16.326664 16.6783943 16.9215488 17.0952148 17.458765 17.7002907 17.8994694 18.1231537 18.4068623 18.5388222 18.8241882 19.1138668 19.3411083 19.6474895 19.9668884 20.1641407 20.2799644 20.4070015 20.6652908 20.7780228 20.9287758 21.1535244 21.3279305 21.5103874 21.7207909 21.8004208 22.0013657 22.2577515 22.4132118 22.6153641 22.7326126 22.900753 23.137455 23.39217 23.5784206 23.7762318 23.9063988 24.1023102 24.3874435 24.561285 24.8225212 25.0877686 25.3202515 25.5226974 25.8351841 26.173811 26.4658298 26.7740517 27.1562042 27.3528328 27.8375893 28.2062378 28.5462837 28.9877701 29.3982925 29.8478317 30.3116913 30.7277184 31.2803268 31.7870598 32.6019096 33.5246582 34.9223938 38.943161 ------------------------------ Transdef: Tab for variable 5 2.01370001 3.0241971 3.42771006 3.77949858 4.01990604 4.2386446 4.33672857 4.52536726 4.6341877 4.7939167 4.93403578 5.0114212 5.15899563 5.29317522 5.33072281 5.39386654 5.4969759 5.52441454 5.53855896 5.55348969 5.6522069 5.74667835 5.87358093 5.92132568 5.98140955 6.03642988 6.12477684 6.21119213 6.27709579 6.30811214 6.37885475 6.44300365 6.52378368 6.57356501 6.63295555 6.66404486 6.70563745 6.77259254 6.7769537 6.82007599 6.85400867 6.87654924 6.90244865 6.97174501 7.02686119 7.05826092 7.12636232 7.1616745 7.18216896 7.22272396 7.27400637 7.33055782 7.38701773 7.43898964 7.48341179 7.51863813 7.55047607 7.58166218 7.64085197 7.68674326 7.77034855 7.82078362 7.87341118 7.91645479 7.96620655 7.99055767 8.06075668 8.08633518 8.14609718 8.20623302 8.22505188 8.2598772 8.32332802 8.38856888 8.44949341 8.50178242 8.55499649 8.6390686 8.72151947 8.75423622 8.82454586 8.85778236 8.94110394 8.97469521 9.07829285 9.17510414 9.26025867 9.37566662 9.43627548 9.53583336 9.67869186 9.79397011 9.93060112 10.0385628 10.2614174 10.4722385 10.7502069 11.0907574 11.6043129 12.4191475 18.373724 ------------------------------ Transdef: Tab for variable 6 25.0010986 26.8829727 27.7121162 29.0673218 29.9637222 31.1572609 32.1394653 33.1492462 34.3522797 34.7458496 35.229248 35.9916153 36.0886726 36.9850006 37.7296867 38.4001389 38.5856857 38.8378143 39.6471481 40.8610992 41.8418427 42.2205887 42.5760574 43.015831 43.4901428 43.8359299 44.2201691 44.5733643 45.5515823 45.8526154 46.5810547 47.3917542 48.1129608 48.235466 48.777935 49.3653755 49.6766739 49.8542633 50.3331299 50.5721054 51.2842865 51.9300461 52.2355156 52.7730179 53.2704086 54.037384 54.247139 54.643158 55.3609467 55.7028809 56.0969315 56.5346527 57.2828293 57.501709 58.1792908 58.3982925 59.0769348 59.5971222 60.1282578 60.9515343 61.5017624 62.3107452 62.9692459 63.6433258 64.3459244 65.0126266 65.6830063 66.3868027 66.9658356 67.7201996 68.464798 69.1808167 69.9606476 70.8801575 71.6429749 72.5320282 73.2721405 74.0229187 74.8129425 75.467041 76.4957657 77.303421 78.2139816 79.2014923 80.5160828 81.9695587 82.5849915 84.3292465 86.1462097 88.3196106 90.0832977 92.0613251 93.9338989 96.5417328 99.3567505 102.90657 107.445404 113.151611 121.244347 133.878067 233.795258 ------------------------------ Transdef: Tab for variable 7 30.3086014 33.6425018 35.2560425 36.3387108 38.1497421 38.567379 38.8853149 39.1703949 39.5682793 40.050972 40.5354919 40.8973503 41.3667603 42.1567688 42.5230179 42.7225342 43.1137085 44.3260536 44.6006241 44.8806534 44.9391174 45.4647903 46.1200409 46.9159966 47.3512802 48.112278 48.3364182 48.8513184 49.3951035 49.85392 50.449913 51.2587509 52.1023102 52.4614563 53.3030472 54.0514374 54.8373222 55.6878815 56.4414597 57.0975304 57.6679344 58.2100334 58.5742645 58.9223366 59.1804047 59.986618 61.0252151 61.665062 62.3217239 62.6839828 63.0501785 63.7340508 64.5197449 65.2350159 66.1969604 67.0860291 67.9875031 68.8725891 69.9040375 70.5872879 71.4433136 72.4445038 73.0693359 74.0837097 74.9059982 75.868988 76.5878677 76.9259033 77.9535522 79.3199768 80.4728088 81.611557 82.5680161 83.7180023 84.9436493 86.2945862 87.4735489 88.6280746 90.1930695 91.6522903 93.6020813 95.5562439 97.5012512 99.392746 101.027023 103.541321 105.584152 107.71019 110.158417 113.517693 116.546661 118.228104 121.182602 124.065865 129.0914 134.162537 142.556122 152.651611 165.361801 185.94043 319.846985 ------------------------------ Transdef: Tab for variable 8 5.568645 26.3833294 30.8869362 32.1653748 33.4343796 34.2668877 34.9979172 36.0007133 36.6703644 37.0260429 37.6416626 38.0287247 38.2076874 38.704216 38.8855553 39.2284966 39.3882637 39.6260948 39.918251 40.3831444 40.7714119 41.0567856 41.3025513 41.8164825 42.5895004 42.8716202 43.266861 43.7086983 44.0439148 44.4106178 44.7617798 44.8788986 45.4973221 46.1786957 46.3768234 46.7992897 47.0719757 47.4913712 47.9288673 48.4098206 48.7490005 48.8670349 49.3811646 49.6643181 50.0506477 50.3801346 51.0024719 51.5325279 52.1838074 52.7424469 53.0603104 53.4424591 53.9281921 54.6171951 55.1442413 55.5767822 56.1276932 56.7232094 57.2507019 57.7284203 58.1517563 58.6345825 59.1834984 59.8276443 60.3621864 60.8860855 61.4096642 62.0071259 62.6691742 63.259552 64.0749512 64.6769867 65.3269272 66.0812531 66.8123627 67.561554 68.2921448 69.2502441 70.0714874 71.068779 71.6985779 72.548233 73.7351685 74.2106934 75.0451431 75.9607849 77.1244507 78.5431061 79.9567871 81.5368729 83.6677246 85.6083832 87.9203873 91.1665802 94.0880814 99.4190369 104.284149 110.505974 117.314102 129.957611 241.320557 ------------------------------ Transdef: Tab for variable 9 55.8076553 62.8013802 68.4414444 69.9233093 71.666687 74.3141251 75.6217651 77.0184479 77.3907471 78.8119278 79.6585236 80.7296448 81.008667 81.4696655 82.4131851 83.3727646 83.6281662 85.0026779 86.017128 86.2967834 86.8714294 87.6607208 88.648407 89.7759705 90.5669327 91.438179 92.1505585 92.9293976 93.7471695 94.8660278 95.6122589 96.3186874 97.4833984 98.416748 98.8515472 99.2835388 99.7426605 100.425842 101.053894 101.633537 102.111694 102.75486 103.502739 104.259705 105.152634 105.624275 106.336884 107.114639 108.159294 109.061394 109.82386 110.855972 111.746384 112.926392 113.88562 114.754044 115.186951 116.181534 116.72168 117.684341 118.932907 119.895264 120.758209 121.731613 122.742065 123.841606 125.160065 125.810898 126.59346 127.456924 128.657227 129.666702 130.887543 131.685059 132.775818 133.503784 134.527222 135.595978 136.435364 137.263458 138.367859 139.504333 140.973602 142.79921 144.100723 145.435486 146.773453 147.973602 149.101944 150.27832 151.660248 153.063095 155.002716 157.869095 160.617554 163.607361 166.65654 170.498779 176.521942 187.423141 294.427551 ------------------------------ Transdef: Tab for variable 10 0.501765847 1.16462541 1.39043725 1.57206309 1.71287322 1.83851445 1.94980741 2.02917624 2.08939886 2.17479634 2.24133945 2.29487085 2.33811045 2.38261032 2.41994715 2.43906164 2.4840827 2.50751591 2.52991199 2.55044079 2.57287693 2.59675503 2.6202569 2.64668775 2.66436386 2.68276906 2.70782375 2.72813177 2.74580646 2.76765013 2.77270555 2.7863791 2.80130935 2.80773163 2.8225925 2.83230615 2.83980131 2.8473711 2.85423183 2.86883831 2.87505651 2.88588953 2.89576101 2.90575624 2.91485739 2.92447472 2.93363976 2.94311166 2.94964671 2.95590591 2.95860147 2.96447563 2.97214127 2.9770546 2.98017502 2.9881711 2.99127984 2.99831915 3.00384545 3.00934243 3.01526642 3.02186584 3.02956963 3.03713894 3.04043317 3.04560471 3.05207777 3.05778408 3.06212783 3.065938 3.06615162 3.07022929 3.0728128 3.0738728 3.07595825 3.07872033 3.08098269 3.08360767 3.08792901 3.088871 3.0918355 3.09468699 3.09843779 3.1016109 3.1022768 3.1042304 3.10726786 3.10958171 3.11316347 3.11394787 3.11787987 3.12101793 3.12311506 3.12610197 3.12855434 3.13030553 3.13183069 3.13509369 3.13659453 3.13810134 3.1415844 ------------------------------ Transdef: Tab for variable 11 0.000178339236 0.006951808 0.0109623671 0.019816637 0.0321193337 0.0428195 0.0478327721 0.0619248152 0.0710628629 0.0772991478 0.0881944895 0.0947322845 0.0987842083 0.106470346 0.113931075 0.121214926 0.130123317 0.139173508 0.152906418 0.158282697 0.167378306 0.1748631 0.18170619 0.190080181 0.197605193 0.205013871 0.215494975 0.22879231 0.234429955 0.239875913 0.248077273 0.256741226 0.264140308 0.270611048 0.278564453 0.287264943 0.296214998 0.302390486 0.309326589 0.316226006 0.32314074 0.330512762 0.337373018 0.343650699 0.345934212 0.350791872 0.354958802 0.360146642 0.363218427 0.367590785 0.373070478 0.375330567 0.377657652 0.38178587 0.386791945 0.3896631 0.391738564 0.396736145 0.402028441 0.406293392 0.410374165 0.413130641 0.417142391 0.419424891 0.4254691 0.428421736 0.432962418 0.437450051 0.439361572 0.442844629 0.44675529 0.447692543 0.453923285 0.459073067 0.464951634 0.467272043 0.475743681 0.480796337 0.488156676 0.497827768 0.508968592 0.512773514 0.520328641 0.528596818 0.539776444 0.55237937 0.563211203 0.576898813 0.585298538 0.594555557 0.602125049 0.613388896 0.63193655 0.644901395 0.649456024 0.654328227 0.667716265 0.697195411 0.735515118 0.777001679 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.2193266 0.39523083 0.401787549 0.404343545 0.40791887 0.41040957 0.412098646 0.413625419 0.415585458 0.41813755 0.420336783 0.423139751 0.425183207 0.427919656 0.430143416 0.433177739 0.435546756 0.437468708 0.43926236 0.441542566 0.44388777 0.446577013 0.448726058 0.451470256 0.454030156 0.456221551 0.458820879 0.460049093 0.461865425 0.463624269 0.465656161 0.467844486 0.470355302 0.472610533 0.475202501 0.477915585 0.480778486 0.482017517 0.485725313 0.488460064 0.490799695 0.493093133 0.495664418 0.498880595 0.502014995 0.503452122 0.507234693 0.511155903 0.513550043 0.515278697 0.519583225 0.52270627 0.525764167 0.528602779 0.531915426 0.537480175 0.539780259 0.542908967 0.546999693 0.551503301 0.553495407 0.556957424 0.56105125 0.565591693 0.569422662 0.573794365 0.578364849 0.583110809 0.588656902 0.594763517 0.598931789 0.603381634 0.607372403 0.613796115 0.618058085 0.622023821 0.629294634 0.633660555 0.637013853 0.641765714 0.650766969 0.653774738 0.659005344 0.664956152 0.668580174 0.674630046 0.678513706 0.688006282 0.700569153 0.703124642 0.715583086 0.723850548 0.743398011 0.753720105 0.763467789 0.779587805 0.796340883 0.798923075 0.838465333 0.883502841 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.2210693 22.1211414 23.3568687 23.9765491 24.9455223 25.3423462 25.9982338 26.6078453 26.9199543 27.4290161 27.9962769 28.7576046 28.9214821 29.3664761 29.6662445 29.977459 30.128767 30.2279301 30.5756054 30.9040432 31.0089989 31.3548317 31.6560497 32.1494179 32.4573135 32.7219734 33.1072311 33.2948761 33.5975113 34.0226288 34.3476334 34.5141296 34.8919678 35.093853 35.4088707 35.694973 35.977478 36.1713104 36.3022995 36.5658646 36.9799271 37.2243156 37.4965744 37.7809982 38.1948776 38.6427994 38.9925995 39.4297562 39.6252518 39.9327164 40.1566696 40.5447845 40.9067993 41.2414703 41.4549904 41.9211731 42.4802246 42.9339294 43.4161415 43.9716263 44.4182281 44.8364334 45.3555717 45.7871475 46.3538628 46.5293732 46.8435783 47.3398666 47.5911903 48.1456375 48.4699249 49.0592003 49.7985001 50.6243477 50.8577843 51.3953705 51.9408836 52.8755722 53.6832161 54.4171066 55.1873779 55.9487305 56.8238297 57.8340912 58.8586884 59.764328 60.3853073 61.8190002 62.6542549 64.0505066 65.8861313 67.5315857 69.5328445 72.5064087 75.687851 79.3586426 82.8645477 88.3026199 89.9189453 96.5088959 194.379669 ------------------------------ Transdef: Tab for variable 14 10.0093269 10.705759 11.3885803 11.6219673 11.7683878 12.1134043 12.3149567 12.4768782 12.8687744 13.6657772 13.8114929 13.8539696 13.9777946 14.4514265 14.9456902 15.3487072 15.9047184 16.3157463 16.6164322 16.9033508 17.218441 17.6188698 17.7707863 17.9575558 18.183197 18.4794617 18.6424103 18.8061066 19.1693859 19.3614502 19.5112209 19.8200073 20.0081367 20.2557831 20.5780773 20.636055 21.028923 21.3462448 21.5309925 21.7486534 22.0124722 22.2668419 22.3898716 22.599514 22.8911896 23.1816368 23.2587585 23.5899544 23.9775505 24.3204517 24.5465584 24.8899307 25.1454487 25.4392929 25.6959076 25.9875984 26.2087021 26.4426498 26.730917 27.1286125 27.2486019 27.3778114 27.6063423 28.0302429 28.4551849 28.8703575 29.0974522 29.4579582 29.6548748 30.0038719 30.4233131 30.9747238 31.4636307 31.7363777 32.0695648 32.3694115 32.8495941 33.2510147 34.0136566 34.5369453 34.946228 35.4493408 36.0392532 36.7639236 37.3926582 38.2247009 39.1059036 39.9314423 41.1259766 42.601696 43.8418427 44.6915131 46.0761566 47.5066833 48.7705307 50.1495438 52.8373833 55.5878334 59.7857666 66.9934998 86.4676971 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 52.5 25.2 45.5 20.0 37.5 50.6 41.1 49.1 -28.2 -9.3 -23.5 12.2 40.9 2 52.5 100.0 39.8 48.9 43.7 76.2 93.8 76.6 88.8 -47.1 -15.6 -32.0 15.2 35.5 3 25.2 39.8 100.0 21.3 5.4 21.4 42.2 34.4 49.6 -5.6 -19.9 -40.7 59.5 10.5 4 45.5 48.9 21.3 100.0 24.8 39.5 46.0 47.1 57.9 -4.8 -23.9 -55.1 9.7 78.7 5 20.0 43.7 5.4 24.8 100.0 86.1 12.1 58.1 70.9 20.2 -8.0 -13.9 -7.1 14.8 6 37.5 76.2 21.4 39.5 86.1 100.0 52.9 80.9 89.4 -9.7 -11.2 -23.4 2.9 27.0 7 50.6 93.8 42.2 46.0 12.1 52.9 100.0 66.1 72.6 -57.9 -13.9 -29.6 19.6 34.3 8 41.1 76.6 34.4 47.1 58.1 80.9 66.1 100.0 83.9 -12.0 -16.7 -30.7 14.3 34.3 9 49.1 88.8 49.6 57.9 70.9 89.4 72.6 83.9 100.0 -18.3 -18.8 -41.5 19.8 40.8 10 -28.2 -47.1 -5.6 -4.8 20.2 -9.7 -57.9 -12.0 -18.3 100.0 -5.3 -2.3 -2.0 -6.7 11 -9.3 -15.6 -19.9 -23.9 -8.0 -11.2 -13.9 -16.7 -18.8 -5.3 100.0 46.3 -15.0 -22.5 12 -23.5 -32.0 -40.7 -55.1 -13.9 -23.4 -29.6 -30.7 -41.5 -2.3 46.3 100.0 -17.8 -41.5 13 12.2 15.2 59.5 9.7 -7.1 2.9 19.6 14.3 19.8 -2.0 -15.0 -17.8 100.0 32.6 14 40.9 35.5 10.5 78.7 14.8 27.0 34.3 34.3 40.8 -6.7 -22.5 -41.5 32.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 131.137998 TOTAL CORRELATION OF ALL VARIABLES 60.0466183 ROUND 1: MAX CORR ( 60.0459605) AFTER KILLING INPUT VARIABLE 7 CONTR 0.28107736 ROUND 2: MAX CORR ( 60.0040065) AFTER KILLING INPUT VARIABLE 11 CONTR 2.24423075 ROUND 3: MAX CORR ( 59.9568046) AFTER KILLING INPUT VARIABLE 6 CONTR 2.37957596 ROUND 4: MAX CORR ( 59.9209785) AFTER KILLING INPUT VARIABLE 8 CONTR 2.07237719 ROUND 5: MAX CORR ( 59.8054615) AFTER KILLING INPUT VARIABLE 9 CONTR 3.7189298 ROUND 6: MAX CORR ( 59.7462062) AFTER KILLING INPUT VARIABLE 5 CONTR 2.66159256 ROUND 7: MAX CORR ( 59.4189632) AFTER KILLING INPUT VARIABLE 12 CONTR 6.24467488 ROUND 8: MAX CORR ( 59.2033355) AFTER KILLING INPUT VARIABLE 4 CONTR 5.05749563 ROUND 9: MAX CORR ( 58.5154613) AFTER KILLING INPUT VARIABLE 10 CONTR 8.99865085 ROUND 10: MAX CORR ( 57.9193091) AFTER KILLING INPUT VARIABLE 13 CONTR 8.33143712 ROUND 11: MAX CORR ( 57.6330367) AFTER KILLING INPUT VARIABLE 3 CONTR 5.75147394 ROUND 12: MAX CORR ( 52.4584333) AFTER KILLING INPUT VARIABLE 14 CONTR 23.8679636 LAST REMAINING VARIABLE: 2 total correlation to target: 60.0466183 % total significance: 32.246764 sigma correlations of single variables to target: variable 2: 52.4584333 % , in sigma: 28.17169 variable 3: 25.2460389 % , in sigma: 13.5578502 variable 4: 45.5001652 % , in sigma: 24.4348996 variable 5: 20.0102385 % , in sigma: 10.7460746 variable 6: 37.4576526 % , in sigma: 20.1158386 variable 7: 50.6322442 % , in sigma: 27.1909738 variable 8: 41.1409459 % , in sigma: 22.0938732 variable 9: 49.1315118 % , in sigma: 26.3850373 variable 10: -28.2410953 % , in sigma: 15.1662818 variable 11: -9.34219222 % , in sigma: 5.01702637 variable 12: -23.5339445 % , in sigma: 12.6384062 variable 13: 12.2330693 % , in sigma: 6.56951062 variable 14: 40.9357648 % , in sigma: 21.9836851 variables sorted by significance: 1 most relevant variable 2 corr 52.4584351 , in sigma: 28.1716909 2 most relevant variable 14 corr 23.8679638 , in sigma: 12.8177842 3 most relevant variable 3 corr 5.7514739 , in sigma: 3.08870719 4 most relevant variable 13 corr 8.33143711 , in sigma: 4.47422176 5 most relevant variable 10 corr 8.99865055 , in sigma: 4.8325346 6 most relevant variable 4 corr 5.05749559 , in sigma: 2.71602084 7 most relevant variable 12 corr 6.24467468 , in sigma: 3.35357021 8 most relevant variable 5 corr 2.66159248 , in sigma: 1.42935184 9 most relevant variable 9 corr 3.71892977 , in sigma: 1.99717243 10 most relevant variable 8 corr 2.0723772 , in sigma: 1.11292626 11 most relevant variable 6 corr 2.37957597 , in sigma: 1.27790085 12 most relevant variable 11 corr 2.24423075 , in sigma: 1.20521657 13 most relevant variable 7 corr 0.281077355 , in sigma: 0.150946638 global correlations between input variables: variable 2: 99.4647996 % variable 3: 91.1526334 % variable 4: 90.7370664 % variable 5: 98.1488017 % variable 6: 97.0337007 % variable 7: 99.3249432 % variable 8: 89.5572272 % variable 9: 99.1835165 % variable 10: 73.3282596 % variable 11: 49.3503738 % variable 12: 70.8548503 % variable 13: 76.866873 % variable 14: 87.0253723 % significance loss when removing single variables: variable 2: corr = 4.36936271 % , sigma = 2.34647366 variable 3: corr = 10.056459 % , sigma = 5.4006082 variable 4: corr = 7.60878533 % , sigma = 4.08613693 variable 5: corr = 4.47894914 % , sigma = 2.40532472 variable 6: corr = 2.42439799 % , sigma = 1.30197157 variable 7: corr = 0.28107736 % , sigma = 0.15094664 variable 8: corr = 2.68569092 % , sigma = 1.4422934 variable 9: corr = 4.18103966 % , sigma = 2.24533875 variable 10: corr = 9.48780774 % , sigma = 5.0952261 variable 11: corr = 2.24165172 % , sigma = 1.20383155 variable 12: corr = 4.69309953 % , sigma = 2.52032966 variable 13: corr = 6.45318073 % , sigma = 3.46554397 variable 14: corr = 12.0764881 % , sigma = 6.48542202 Keep only 5 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 6 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 8.01154041 sigma out 15 active outputs RANK 2 NODE 1 --> 7.00674963 sigma out 15 active outputs RANK 3 NODE 5 --> 6.68295002 sigma out 15 active outputs RANK 4 NODE 3 --> 5.61488056 sigma out 15 active outputs RANK 5 NODE 6 --> 4.35399008 sigma out 15 active outputs RANK 6 NODE 2 --> 4.27069902 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 8.47091007 sigma in 6act. ( 9.52196217 sig out 1act.) RANK 2 NODE 2 --> 6.73313141 sigma in 6act. ( 7.35234976 sig out 1act.) RANK 3 NODE 4 --> 5.11852837 sigma in 6act. ( 5.03764677 sig out 1act.) RANK 4 NODE 7 --> 4.70640612 sigma in 6act. ( 5.09433794 sig out 1act.) RANK 5 NODE 11 --> 4.34039783 sigma in 6act. ( 4.71165466 sig out 1act.) RANK 6 NODE 14 --> 4.02318573 sigma in 6act. ( 4.33663797 sig out 1act.) RANK 7 NODE 6 --> 3.14587951 sigma in 6act. ( 3.44743156 sig out 1act.) RANK 8 NODE 1 --> 2.1601429 sigma in 6act. ( 1.69317424 sig out 1act.) RANK 9 NODE 8 --> 1.86657035 sigma in 6act. ( 1.81384039 sig out 1act.) RANK 10 NODE 5 --> 1.72668564 sigma in 6act. ( 1.61639309 sig out 1act.) RANK 11 NODE 10 --> 1.17741048 sigma in 6act. ( 0.731340408 sig out 1act.) RANK 12 NODE 3 --> 1.12839627 sigma in 6act. ( 1.13962364 sig out 1act.) RANK 13 NODE 13 --> 1.02297103 sigma in 6act. ( 0.832362175 sig out 1act.) RANK 14 NODE 9 --> 0.864600539 sigma in 6act. ( 0.755748212 sig out 1act.) RANK 15 NODE 15 --> 0.846289217 sigma in 6act. ( 0.651665866 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 9.52196217 sigma out 1act.( 8.47091007 sig in 6act.) RANK 2 NODE 2 --> 7.35234976 sigma out 1act.( 6.73313141 sig in 6act.) RANK 3 NODE 7 --> 5.09433794 sigma out 1act.( 4.70640612 sig in 6act.) RANK 4 NODE 4 --> 5.03764677 sigma out 1act.( 5.11852837 sig in 6act.) RANK 5 NODE 11 --> 4.71165466 sigma out 1act.( 4.34039783 sig in 6act.) RANK 6 NODE 14 --> 4.33663797 sigma out 1act.( 4.02318573 sig in 6act.) RANK 7 NODE 6 --> 3.44743156 sigma out 1act.( 3.14587951 sig in 6act.) RANK 8 NODE 8 --> 1.81384039 sigma out 1act.( 1.86657035 sig in 6act.) RANK 9 NODE 1 --> 1.69317424 sigma out 1act.( 2.1601429 sig in 6act.) RANK 10 NODE 5 --> 1.61639309 sigma out 1act.( 1.72668564 sig in 6act.) RANK 11 NODE 3 --> 1.13962364 sigma out 1act.( 1.12839627 sig in 6act.) RANK 12 NODE 13 --> 0.832362175 sigma out 1act.( 1.02297103 sig in 6act.) RANK 13 NODE 9 --> 0.755748212 sigma out 1act.( 0.864600539 sig in 6act.) RANK 14 NODE 10 --> 0.731340408 sigma out 1act.( 1.17741048 sig in 6act.) RANK 15 NODE 15 --> 0.651665866 sigma out 1act.( 0.846289217 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.1628494 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 13.2943811 sigma out 15 active outputs RANK 2 NODE 1 --> 11.6655064 sigma out 15 active outputs RANK 3 NODE 3 --> 8.26151466 sigma out 15 active outputs RANK 4 NODE 5 --> 7.74437332 sigma out 15 active outputs RANK 5 NODE 6 --> 7.06024599 sigma out 15 active outputs RANK 6 NODE 2 --> 5.6323266 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 8.9039526 sigma in 6act. ( 8.12670898 sig out 1act.) RANK 2 NODE 14 --> 8.02926445 sigma in 6act. ( 6.55508566 sig out 1act.) RANK 3 NODE 1 --> 7.67819881 sigma in 6act. ( 3.16701603 sig out 1act.) RANK 4 NODE 4 --> 7.65207481 sigma in 6act. ( 5.80287933 sig out 1act.) RANK 5 NODE 9 --> 6.94273281 sigma in 6act. ( 3.0829618 sig out 1act.) RANK 6 NODE 5 --> 6.10735607 sigma in 6act. ( 3.26296401 sig out 1act.) RANK 7 NODE 2 --> 5.87146091 sigma in 6act. ( 5.36139965 sig out 1act.) RANK 8 NODE 7 --> 5.37889719 sigma in 6act. ( 4.54702759 sig out 1act.) RANK 9 NODE 8 --> 5.28393698 sigma in 6act. ( 3.63238621 sig out 1act.) RANK 10 NODE 6 --> 4.60356855 sigma in 6act. ( 4.28466654 sig out 1act.) RANK 11 NODE 15 --> 4.22271156 sigma in 6act. ( 1.17085886 sig out 1act.) RANK 12 NODE 3 --> 4.20346689 sigma in 6act. ( 1.78802717 sig out 1act.) RANK 13 NODE 11 --> 3.84645009 sigma in 6act. ( 3.90920019 sig out 1act.) RANK 14 NODE 10 --> 3.33706784 sigma in 6act. ( 0.790804565 sig out 1act.) RANK 15 NODE 13 --> 1.38270855 sigma in 6act. ( 0.290054142 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 8.12670898 sigma out 1act.( 8.9039526 sig in 6act.) RANK 2 NODE 14 --> 6.55508566 sigma out 1act.( 8.02926445 sig in 6act.) RANK 3 NODE 4 --> 5.80287933 sigma out 1act.( 7.65207481 sig in 6act.) RANK 4 NODE 2 --> 5.36139965 sigma out 1act.( 5.87146091 sig in 6act.) RANK 5 NODE 7 --> 4.54702759 sigma out 1act.( 5.37889719 sig in 6act.) RANK 6 NODE 6 --> 4.28466654 sigma out 1act.( 4.60356855 sig in 6act.) RANK 7 NODE 11 --> 3.90920019 sigma out 1act.( 3.84645009 sig in 6act.) RANK 8 NODE 8 --> 3.63238621 sigma out 1act.( 5.28393698 sig in 6act.) RANK 9 NODE 5 --> 3.26296401 sigma out 1act.( 6.10735607 sig in 6act.) RANK 10 NODE 1 --> 3.16701603 sigma out 1act.( 7.67819881 sig in 6act.) RANK 11 NODE 9 --> 3.0829618 sigma out 1act.( 6.94273281 sig in 6act.) RANK 12 NODE 3 --> 1.78802717 sigma out 1act.( 4.20346689 sig in 6act.) RANK 13 NODE 15 --> 1.17085886 sigma out 1act.( 4.22271156 sig in 6act.) RANK 14 NODE 10 --> 0.790804565 sigma out 1act.( 3.33706784 sig in 6act.) RANK 15 NODE 13 --> 0.290054142 sigma out 1act.( 1.38270855 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.5650082 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.456458986 *** contribution from regularisation: 0.024139028 *** contribution from error: -0.480598003 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.5422225 *** contribution from regularisation: 0.00876393449 *** contribution from error: -0.550986409 *********************************************** -----------------> Test sample ENTER BFGS code START -4656.38082 -0.00458673993 0.56227541 EXIT FROM BFGS code FG_START 0. -0.00458673993 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.555624485 *** contribution from regularisation: 0.00690535735 *** contribution from error: -0.562529862 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4770.5917 -0.00458673993 11.5704498 EXIT FROM BFGS code FG_LNSRCH 0. 0.0544374511 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.563332915 *** contribution from regularisation: 0.0110034198 *** contribution from error: -0.57433635 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4836.77655 0.0544374511 -2.16974044 EXIT FROM BFGS code NEW_X -4836.77655 0.0544374511 -2.16974044 ENTER BFGS code NEW_X -4836.77655 0.0544374511 -2.16974044 EXIT FROM BFGS code FG_LNSRCH 0. 0.0458298884 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.565938532 *** contribution from regularisation: 0.0104668885 *** contribution from error: -0.576405406 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4859.14806 0.0458298884 -0.477171421 EXIT FROM BFGS code NEW_X -4859.14806 0.0458298884 -0.477171421 ENTER BFGS code NEW_X -4859.14806 0.0458298884 -0.477171421 EXIT FROM BFGS code FG_LNSRCH 0. 0.043507982 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.565515935 *** contribution from regularisation: 0.0106428601 *** contribution from error: -0.576158822 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4855.51981 0.043507982 0.496570855 EXIT FROM BFGS code FG_LNSRCH 0. 0.0454363376 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.564394355 *** contribution from regularisation: 0.0120480116 *** contribution from error: -0.576442361 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4845.8898 0.0454363376 -0.321651697 EXIT FROM BFGS code FG_LNSRCH 0. 0.0458219498 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.566183507 *** contribution from regularisation: 0.0102229798 *** contribution from error: -0.576406479 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4861.25158 0.0458219498 -0.50809437 EXIT FROM BFGS code FG_LNSRCH 0. 0.0458219275 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.565173924 *** contribution from regularisation: 0.0112325922 *** contribution from error: -0.576406538 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4852.58307 0.0458219275 -0.526863158 EXIT FROM BFGS code FG_LNSRCH 0. 0.0458219498 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 12.3192835 sigma out 15 active outputs RANK 2 NODE 1 --> 11.4347792 sigma out 15 active outputs RANK 3 NODE 6 --> 6.0328722 sigma out 15 active outputs RANK 4 NODE 3 --> 5.61811686 sigma out 15 active outputs RANK 5 NODE 5 --> 4.9728713 sigma out 15 active outputs RANK 6 NODE 2 --> 4.5250206 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 8.17278099 sigma in 6act. ( 4.62358093 sig out 1act.) RANK 2 NODE 1 --> 7.86697721 sigma in 6act. ( 3.81940699 sig out 1act.) RANK 3 NODE 4 --> 7.14941931 sigma in 6act. ( 4.31487751 sig out 1act.) RANK 4 NODE 9 --> 6.86702967 sigma in 6act. ( 3.88261056 sig out 1act.) RANK 5 NODE 5 --> 6.46172905 sigma in 6act. ( 3.35453415 sig out 1act.) RANK 6 NODE 12 --> 5.35156059 sigma in 6act. ( 4.46211529 sig out 1act.) RANK 7 NODE 8 --> 5.05261993 sigma in 6act. ( 3.17283773 sig out 1act.) RANK 8 NODE 15 --> 3.9145205 sigma in 6act. ( 2.06998467 sig out 1act.) RANK 9 NODE 6 --> 3.64633441 sigma in 6act. ( 2.57106423 sig out 1act.) RANK 10 NODE 3 --> 3.62482119 sigma in 6act. ( 2.17162585 sig out 1act.) RANK 11 NODE 7 --> 3.03233099 sigma in 6act. ( 1.94814789 sig out 1act.) RANK 12 NODE 2 --> 3.01886487 sigma in 6act. ( 1.67009628 sig out 1act.) RANK 13 NODE 10 --> 2.52042937 sigma in 6act. ( 1.23044157 sig out 1act.) RANK 14 NODE 11 --> 2.3135457 sigma in 6act. ( 1.8819648 sig out 1act.) RANK 15 NODE 13 --> 1.01718426 sigma in 6act. ( 0.449084163 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 4.62358093 sigma out 1act.( 8.17278099 sig in 6act.) RANK 2 NODE 12 --> 4.46211529 sigma out 1act.( 5.35156059 sig in 6act.) RANK 3 NODE 4 --> 4.31487751 sigma out 1act.( 7.14941931 sig in 6act.) RANK 4 NODE 9 --> 3.88261056 sigma out 1act.( 6.86702967 sig in 6act.) RANK 5 NODE 1 --> 3.81940699 sigma out 1act.( 7.86697721 sig in 6act.) RANK 6 NODE 5 --> 3.35453415 sigma out 1act.( 6.46172905 sig in 6act.) RANK 7 NODE 8 --> 3.17283773 sigma out 1act.( 5.05261993 sig in 6act.) RANK 8 NODE 6 --> 2.57106423 sigma out 1act.( 3.64633441 sig in 6act.) RANK 9 NODE 3 --> 2.17162585 sigma out 1act.( 3.62482119 sig in 6act.) RANK 10 NODE 15 --> 2.06998467 sigma out 1act.( 3.9145205 sig in 6act.) RANK 11 NODE 7 --> 1.94814789 sigma out 1act.( 3.03233099 sig in 6act.) RANK 12 NODE 11 --> 1.8819648 sigma out 1act.( 2.3135457 sig in 6act.) RANK 13 NODE 2 --> 1.67009628 sigma out 1act.( 3.01886487 sig in 6act.) RANK 14 NODE 10 --> 1.23044157 sigma out 1act.( 2.52042937 sig in 6act.) RANK 15 NODE 13 --> 0.449084163 sigma out 1act.( 1.01718426 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.7618704 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.564476728 *** contribution from regularisation: 0.0119297775 *** contribution from error: -0.576406479 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4846.59702 0.0458219498 -0.529545426 EXIT FROM BFGS code NEW_X -4846.59702 0.0458219498 -0.529545426 ENTER BFGS code NEW_X -4846.59702 0.0458219498 -0.529545426 EXIT FROM BFGS code CONVERGENC -4846.59702 0.0458219498 -0.529545426 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 18.2486153 sigma out 15 active outputs RANK 2 NODE 1 --> 17.366581 sigma out 15 active outputs RANK 3 NODE 6 --> 8.10852528 sigma out 15 active outputs RANK 4 NODE 3 --> 7.1799798 sigma out 15 active outputs RANK 5 NODE 5 --> 6.32863855 sigma out 15 active outputs RANK 6 NODE 2 --> 6.03814983 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 12.7375336 sigma in 6act. ( 6.86658621 sig out 1act.) RANK 2 NODE 1 --> 11.6247282 sigma in 6act. ( 5.87760592 sig out 1act.) RANK 3 NODE 4 --> 11.1591454 sigma in 6act. ( 6.01958466 sig out 1act.) RANK 4 NODE 9 --> 9.93163586 sigma in 6act. ( 5.74819374 sig out 1act.) RANK 5 NODE 5 --> 9.64045048 sigma in 6act. ( 5.04460907 sig out 1act.) RANK 6 NODE 8 --> 7.24593449 sigma in 6act. ( 4.72020817 sig out 1act.) RANK 7 NODE 12 --> 6.54529476 sigma in 6act. ( 7.18502855 sig out 1act.) RANK 8 NODE 15 --> 5.28092861 sigma in 6act. ( 2.91193128 sig out 1act.) RANK 9 NODE 6 --> 5.21512651 sigma in 6act. ( 3.79809284 sig out 1act.) RANK 10 NODE 3 --> 4.66744757 sigma in 6act. ( 3.06078219 sig out 1act.) RANK 11 NODE 7 --> 3.59136391 sigma in 6act. ( 2.95223522 sig out 1act.) RANK 12 NODE 2 --> 3.47617817 sigma in 6act. ( 2.43285275 sig out 1act.) RANK 13 NODE 11 --> 2.9079895 sigma in 6act. ( 2.66648293 sig out 1act.) RANK 14 NODE 10 --> 2.85694337 sigma in 6act. ( 1.65798211 sig out 1act.) RANK 15 NODE 13 --> 1.06044638 sigma in 6act. ( 0.537305355 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 7.18502855 sigma out 1act.( 6.54529476 sig in 6act.) RANK 2 NODE 14 --> 6.86658621 sigma out 1act.( 12.7375336 sig in 6act.) RANK 3 NODE 4 --> 6.01958466 sigma out 1act.( 11.1591454 sig in 6act.) RANK 4 NODE 1 --> 5.87760592 sigma out 1act.( 11.6247282 sig in 6act.) RANK 5 NODE 9 --> 5.74819374 sigma out 1act.( 9.93163586 sig in 6act.) RANK 6 NODE 5 --> 5.04460907 sigma out 1act.( 9.64045048 sig in 6act.) RANK 7 NODE 8 --> 4.72020817 sigma out 1act.( 7.24593449 sig in 6act.) RANK 8 NODE 6 --> 3.79809284 sigma out 1act.( 5.21512651 sig in 6act.) RANK 9 NODE 3 --> 3.06078219 sigma out 1act.( 4.66744757 sig in 6act.) RANK 10 NODE 7 --> 2.95223522 sigma out 1act.( 3.59136391 sig in 6act.) RANK 11 NODE 15 --> 2.91193128 sigma out 1act.( 5.28092861 sig in 6act.) RANK 12 NODE 11 --> 2.66648293 sigma out 1act.( 2.9079895 sig in 6act.) RANK 13 NODE 2 --> 2.43285275 sigma out 1act.( 3.47617817 sig in 6act.) RANK 14 NODE 10 --> 1.65798211 sigma out 1act.( 2.85694337 sig in 6act.) RANK 15 NODE 13 --> 0.537305355 sigma out 1act.( 1.06044638 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.5323105 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.564867675 *** contribution from regularisation: 0.0115387877 *** contribution from error: -0.576406479 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23570 Closing output file done