NNInput NNInputs_125.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= 16947 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 = 4116 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4116 Chosen entries: 4116 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.320786 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4116 Entries to split: 4116 Test with : 2058 Train with : 2058 ********************************************* * 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= 4116 for Signal Prepared event 0 for Signal with 4116 events ====Entry 0 Variable Ht : 93.9129 Variable LepAPt : 25.586 Variable LepBPt : 10.6604 Variable MetSigLeptonsJets : 5.10979 Variable MetSpec : 29.1498 Variable SumEtLeptonsJets : 55.7573 Variable VSumJetLeptonsPt : 26.9618 Variable addEt : 74.402 Variable dPhiLepSumMet : 3.09059 Variable dPhiLeptons : 0.808459 Variable dRLeptons : 0.817938 Variable lep1_E : 44.3246 Variable lep2_E : 16.7337 ===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 = 2125 Ht = 93.9129 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.586 LepAPt = 25.586 LepBEt = 10.6608 LepBPt = 10.6604 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 38.1552 MetDelPhi = 0.869457 MetSig = 3.58177 MetSigLeptonsJets = 5.10979 MetSpec = 29.1498 Mjj = 0 MostCentralJetEta = 0.13434 MtllMet = 86.2166 Njets = 1 SB = 0 SumEt = 113.478 SumEtJets = 0 SumEtLeptonsJets = 55.7573 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 26.9618 addEt = 74.402 dPhiLepSumMet = 3.09059 dPhiLeptons = 0.808459 dRLeptons = 0.817938 diltype = 40 dimass = 13.1551 event = 342 jet1_Et = 19.5109 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.3246 lep2_E = 16.7337 rand = 0.999742 run = 233050 weight = 1.12854e-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 = 2.37499 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 398 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 16947 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 398 negative weights. Signal fraction: 71.1448135 % ------------------------------ 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 62.7009811 66.3803101 67.3902969 69.5412827 70.7079086 71.5474854 73.8058319 74.7723694 75.2245789 76.6545258 77.039856 77.1521072 78.3612518 78.8119278 79.3627701 80.9575043 81.2171783 82.1891708 82.86129 83.3727646 83.6257477 84.2817078 84.7588501 85.3235779 86.4381027 87.6597748 88.5405579 88.9252777 90.0735168 90.7136688 91.6540146 92.1011963 92.9293976 93.5645218 93.6643143 94.0996246 95.3330231 95.7887802 96.8602448 97.3933868 98.3398132 98.6843719 99.1241608 99.7253876 100.217819 101.322884 102.206009 103.121475 103.620911 104.14592 104.804649 105.566208 106.336884 106.872375 107.656235 108.519363 109.406685 110.346924 111.37532 112.64389 113.252945 114.028015 115.278572 116.231682 117.027634 118.319336 119.258339 120.669937 121.806442 122.877403 124.446785 126.027107 127.929596 130.146973 132.035339 133.608017 135.642761 137.76535 139.377594 141.527435 143.109894 145.571259 147.956055 150.491913 153.00531 154.639114 157.536499 160.188431 162.666046 167.09166 172.604202 177.410583 184.005829 190.341827 197.857574 207.902161 229.858246 255.016922 282.530121 532.18573 ------------------------------ Transdef: Tab for variable 3 20.0013733 20.3852253 20.7172356 21.0332355 21.1757545 21.43153 21.6646061 21.9736481 22.2073212 22.4081879 22.5647717 22.789854 22.8042088 22.9953594 23.1259613 23.4352303 23.6053123 23.8558025 24.0012608 24.3258438 24.656868 24.8794022 24.9868851 25.1716309 25.408844 25.5694084 25.7208595 25.966095 26.1959171 26.3331623 26.5047321 26.8137016 27.0614738 27.2230568 27.378933 27.6676941 27.8314114 28.0119667 28.2263088 28.3347206 28.5353203 28.6702576 28.7373409 28.9113483 29.0564651 29.1736469 29.3730621 29.5675869 29.7474804 29.889183 30.0119362 30.1293221 30.3967209 30.5108109 30.7365665 30.9488182 31.2098503 31.4535885 31.672699 31.7996597 32.0339966 32.1800652 32.3360176 32.4805984 32.6740417 32.9870872 33.1454239 33.2380371 33.4484901 33.7063789 33.8271866 34.0737305 34.2359924 34.5613708 34.8597717 35.1727142 35.4018478 35.5980263 35.9308739 36.2656631 36.6206741 36.9304276 37.3090096 37.7092209 38.0968895 38.6287766 39.0866699 39.8063507 40.279583 40.9871597 42.0290833 43.0804482 44.23526 45.6718521 47.2651749 47.8678703 50.0252342 52.0850182 55.8944702 69.8895645 109.76886 ------------------------------ Transdef: Tab for variable 4 10.0002098 10.124732 10.1989746 10.3288193 10.389513 10.4320869 10.4504099 10.4933109 10.546566 10.615324 10.7735748 10.8518248 10.9245605 10.9773264 11.1062326 11.1621733 11.3000107 11.4006615 11.4783554 11.5037804 11.5753002 11.730711 11.7364063 11.9043894 11.9973545 12.1793451 12.2675962 12.3153858 12.4264679 12.5310297 12.7515202 12.8475399 12.9571476 13.1736078 13.3270092 13.4672871 13.6091938 13.6340141 13.7454309 13.7758827 13.8394747 14.0450592 14.2675018 14.5437584 14.7954826 14.9737053 15.1770077 15.3875675 15.5169334 15.6554432 15.7032442 15.8159275 15.9522028 16.1497116 16.401989 16.6949043 16.7916298 16.9771233 17.3609829 17.6558456 17.9606895 18.1701889 18.410984 18.5913086 18.9127312 19.1866989 19.4011974 19.6223145 19.8898697 20.0975113 20.2314415 20.3030128 20.4956512 20.6682091 20.8350754 21.0382309 21.1599884 21.389328 21.637394 21.8252983 22.0472717 22.2379246 22.5561485 22.7846966 23.0346718 23.2791786 23.4824123 23.7694321 24.1295357 24.3711014 24.7663803 25.1937943 25.6483421 26.2527981 26.7289162 27.4007187 28.091568 28.2793102 29.2467422 31.1026058 37.2451897 ------------------------------ Transdef: Tab for variable 5 2.20420504 3.0253706 3.33352184 3.53365588 3.72792482 3.88330936 4.01582718 4.19748402 4.2921648 4.4104929 4.5252552 4.56179285 4.64723206 4.77397299 4.85674381 4.92459202 5.01084328 5.0919342 5.163064 5.1715064 5.23926783 5.35724878 5.37874413 5.42440605 5.45230389 5.52068806 5.52445793 5.55357122 5.63443565 5.73065472 5.75962734 5.83738518 5.90981007 5.95624256 6.01057959 6.03342438 6.10612202 6.16016912 6.22520065 6.27972984 6.30728579 6.36290932 6.40408182 6.45447302 6.5124197 6.56492758 6.62289619 6.6385355 6.64219618 6.66358185 6.72466183 6.74610233 6.77556753 6.80282974 6.82849789 6.8716774 6.87314606 6.88448048 6.92141151 6.9737258 6.99633789 7.03332615 7.07453823 7.13926983 7.16624832 7.20721865 7.24476528 7.30648708 7.35753679 7.38029528 7.39796925 7.40696144 7.45347214 7.50467777 7.53292561 7.56209898 7.59157562 7.65520573 7.68505812 7.74064827 7.7969265 7.85451603 7.91458988 7.96470451 7.99433517 8.06426239 8.14325333 8.1959095 8.26216125 8.35766315 8.44299698 8.56522465 8.70166969 8.79680443 8.95078659 9.04540253 9.29358864 9.49493217 9.89156914 10.6989288 13.0680113 ------------------------------ Transdef: Tab for variable 6 25.0010986 26.208313 26.6025124 27.7828293 29.0222683 29.3613815 30.2361431 31.1181641 31.6386337 32.2784576 32.6640091 33.3209229 33.8872566 34.7047501 34.7506027 35.2185898 35.768158 36.0741577 36.3667221 37.0228844 37.7370377 38.1506081 38.5093269 38.6676216 39.1587067 39.6471481 39.9439316 40.3975449 40.8975372 41.3912544 41.7956085 42.3506088 42.4762421 42.5719986 42.8704758 42.8847656 43.0152359 43.1456451 43.5452728 43.78508 44.0715141 44.6536407 45.0838623 45.462326 45.8539352 46.3262329 46.8208847 47.0856171 47.3881683 47.5437202 47.9155655 48.1129951 48.4759979 48.8421173 49.365345 49.4885025 49.7618752 50.0418091 50.1026802 50.3331299 50.4254456 50.6013565 51.0608597 51.5529289 51.9300461 52.5248032 53.1554604 53.6831741 54.2940216 54.54702 54.9021492 55.3855209 55.8169403 56.2943039 56.6064529 57.4248962 57.9923401 58.401741 59.0775681 59.5070992 59.8645096 60.4886856 61.1197128 61.7447586 62.5351105 63.54039 64.241333 65.2942657 66.4942169 67.6593246 68.8000183 70.4175262 71.8983154 74.1519012 76.2541962 78.8161469 83.1134644 88.1098328 96.2092514 112.738899 153.561188 ------------------------------ Transdef: Tab for variable 7 30.250906 33.4514694 33.7815361 34.5213127 34.7492981 35.2834358 35.4067612 36.2694702 36.8764534 37.2159729 37.6536102 38.1191597 38.3958893 38.8428917 39.0799789 39.2330627 39.5496979 39.8954659 40.050415 40.1121826 40.6196327 40.8941879 41.3237152 41.8729591 42.5697708 42.7212029 43.0893021 43.683651 44.3321457 44.6441345 44.883461 44.9403839 45.4235535 45.7996178 46.1391373 46.3544006 46.5250816 46.9152527 47.4866104 48.1859589 48.5070953 48.9780731 49.3739243 49.6676178 50.2892761 50.8967896 51.2161789 51.8996124 52.4737473 52.966217 53.5053902 54.0382233 54.4767342 55.0195541 55.6149864 56.2179413 56.9005508 57.8052444 58.2334213 58.7597389 59.1231918 59.8795242 60.6241951 61.6176529 62.6259079 63.3433075 64.5028152 65.5889587 66.6429138 67.9792252 69.2774963 70.9365616 72.3364334 73.8195038 75.0969849 76.6424561 77.5505371 79.4446335 80.6774597 82.5635529 83.8349304 85.9775238 87.5141068 89.8128815 91.9519043 94.0915985 96.3940735 99.2631454 102.804634 105.723938 108.956764 113.332832 116.623215 121.298157 125.633606 130.222046 137.744583 138.77713 155.116028 176.524979 313.59375 ------------------------------ Transdef: Tab for variable 8 6.80322456 24.3156586 28.4392357 30.4907455 31.8899155 32.5172043 33.0467567 33.4348679 33.7949028 33.8560944 34.2509537 34.5462112 34.9702225 35.4376106 35.5507469 36.0071869 36.3985062 36.8362961 37.1333618 37.5865173 37.7772293 38.2091827 38.5408249 38.7803154 38.9482803 39.2273407 39.2798691 39.5162926 39.7207069 39.7759094 39.9996147 40.468338 40.9916229 41.2785721 41.8182793 42.1862411 42.5984879 42.8563042 43.2420883 43.6549606 43.8105698 44.0107918 44.110527 44.4106178 44.6710587 44.9264984 45.3511353 45.6218643 45.8871231 45.9882736 46.3876762 46.7991829 46.9588013 47.4296341 47.8518982 48.1924591 48.3150291 48.6385269 48.7502403 49.1916656 49.3842201 49.9953537 50.5360641 50.9558792 51.4134445 51.785759 52.2226562 52.6402397 53.0599289 53.2201271 53.6199265 54.0419998 54.5474854 55.0120354 55.5156517 56.0306816 56.5031509 57.2565727 57.6138954 58.1517563 58.3915024 58.972641 59.6440086 60.3105278 61.5218086 62.5205574 63.2889099 64.223877 65.290329 66.225975 68.0474396 69.5125275 71.6253586 73.7687531 76.9476776 80.4682007 84.8852081 91.6049805 103.898438 135.050873 207.080933 ------------------------------ Transdef: Tab for variable 9 55.8076553 62.7009811 65.9893036 67.3856125 69.3322678 70.4466782 71.3589325 72.1335068 73.8935089 74.6292877 75.2245789 75.7141495 76.6523438 77.0262756 77.1521072 78.0948334 78.6315918 78.8119278 79.3626862 79.9548798 80.9575043 81.2132568 81.9536514 82.5007782 83.1956635 83.3727646 83.6257477 84.4048004 84.7588501 85.2568436 85.9639435 86.7631989 87.6315308 88.2713013 88.6486588 89.0443268 90.0328903 90.480545 91.4143677 91.7707443 92.1254272 92.7519836 93.1151276 93.5645218 94.07724 94.5088501 95.3679657 95.7102051 96.3211594 96.8602448 97.3425903 98.1500015 98.4012985 98.8507767 99.3329239 99.8087921 100.309036 101.074097 101.896835 102.46701 103.115257 103.620911 104.0298 104.556442 104.819519 105.422928 106.054581 106.394066 107.042198 107.730568 108.451233 109.267395 110.045319 110.719421 111.448555 112.343506 113.148567 113.552483 114.343872 115.006042 115.640396 116.311325 117.11953 118.288055 118.939323 119.564148 120.571678 121.562737 122.183914 123.607338 124.719315 125.854401 127.613533 129.905487 133.097824 136.17926 140.589783 146.584839 153.680328 177.372925 282.530121 ------------------------------ Transdef: Tab for variable 10 0.331122547 1.01704705 1.29604006 1.44405806 1.62450266 1.79485464 1.89218974 1.96179354 2.03109741 2.09329081 2.14715719 2.19497061 2.25448942 2.30408597 2.35137534 2.38454294 2.42672348 2.45865536 2.49411821 2.52901793 2.54981947 2.56779194 2.59182501 2.61507988 2.6357379 2.66026163 2.68546772 2.71425176 2.73476863 2.75895 2.77690554 2.80131578 2.81165671 2.83015656 2.83910894 2.84972167 2.85346866 2.86120534 2.87415648 2.8844192 2.89795756 2.90483689 2.91321731 2.92102051 2.92616296 2.93028784 2.94103241 2.94673157 2.95675945 2.96235418 2.96648455 2.97623253 2.97992229 2.98420763 2.98900366 2.99237823 2.99737024 3.00271654 3.00500536 3.01242757 3.01505518 3.02070045 3.02514791 3.03188181 3.03723812 3.03787518 3.04362631 3.04872227 3.05262733 3.0569005 3.05969334 3.06538916 3.06750131 3.07116866 3.07254124 3.0748198 3.07713914 3.08045101 3.08215976 3.0870409 3.09169579 3.09261441 3.09504318 3.09981227 3.10355806 3.10535097 3.11034012 3.1120739 3.11319709 3.11470652 3.11666441 3.11982155 3.1241765 3.12811065 3.12971163 3.13207626 3.13251019 3.13454318 3.13539577 3.13782501 3.1415844 ------------------------------ Transdef: Tab for variable 11 0.000205039978 0.0076226159 0.0136572104 0.0222510099 0.0260517057 0.0387397185 0.0470670909 0.0607652366 0.0667231083 0.0772084892 0.0843055248 0.0947941542 0.101023614 0.112691402 0.124857545 0.130239487 0.143817216 0.154618263 0.163349539 0.167572856 0.180821717 0.192727566 0.203349277 0.211167812 0.224733829 0.234397754 0.242242441 0.254058361 0.258754492 0.261781931 0.270054102 0.276421964 0.289209604 0.297700763 0.303298235 0.312743902 0.322934389 0.328456163 0.335181594 0.343755245 0.351332724 0.360285103 0.3624506 0.36872226 0.373201013 0.376131892 0.38168335 0.386820555 0.388142109 0.391155183 0.394612551 0.39959985 0.402180135 0.408014059 0.412821591 0.415130645 0.417856514 0.422685623 0.425587654 0.430345416 0.435765505 0.438063323 0.440866172 0.446440399 0.451445818 0.453519702 0.459010452 0.462188691 0.467911005 0.474431992 0.475820899 0.482197583 0.492349118 0.499542594 0.507258177 0.515268505 0.517783165 0.523679376 0.528009355 0.535957098 0.545340896 0.555346012 0.567296565 0.574572623 0.579401851 0.589999676 0.602122486 0.610597014 0.62425518 0.639786959 0.6457932 0.650260687 0.654442191 0.668462992 0.697285414 0.728196979 0.739731789 0.77410996 0.810801744 0.856587052 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.225575507 0.375963867 0.402947485 0.409834743 0.412911654 0.41557157 0.420249283 0.424003184 0.425741524 0.428707123 0.4341501 0.437510669 0.439923048 0.444556952 0.448329508 0.452558726 0.456229627 0.458932459 0.462123275 0.463649809 0.467500031 0.471273988 0.473722905 0.475438476 0.477801979 0.479972899 0.482921898 0.485741496 0.489633679 0.490798056 0.493279517 0.495870471 0.498717815 0.501824141 0.503454804 0.507758141 0.511340261 0.513069272 0.516814232 0.521271348 0.524561226 0.5278005 0.532142162 0.536009729 0.539621234 0.542207479 0.54677999 0.552338541 0.55471468 0.556964517 0.559156537 0.561404705 0.565779328 0.569413245 0.57266295 0.576996803 0.578804314 0.583665431 0.588491917 0.594131649 0.596140265 0.600183606 0.603428185 0.607223272 0.610583425 0.614322782 0.619946957 0.622602582 0.628822088 0.632903814 0.638098598 0.644481838 0.647696555 0.651815355 0.655901074 0.658250868 0.666411579 0.671905458 0.675517142 0.678162456 0.68188262 0.687962711 0.698027074 0.706000209 0.715661764 0.721390605 0.727242351 0.736465573 0.741111398 0.749617815 0.756635487 0.766578913 0.780213356 0.79640007 0.796482146 0.822257757 0.851065636 0.880033135 0.901239693 0.934366345 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.1056843 21.5444984 22.1673889 22.7311649 23.1165848 23.3913918 24.1664505 25.0672302 25.3446732 25.6272774 26.1770859 26.7438526 26.9944229 27.1464577 27.628521 28.0810471 28.2291279 28.7946396 29.298317 29.5556068 29.8453217 30.128767 30.5072632 30.5755081 30.9047318 30.983242 31.1941319 31.5805779 31.885437 32.2662659 32.5384254 32.934906 33.3301849 33.7742805 34.1347122 34.4101105 34.5145416 34.9450226 35.3028717 35.4079056 35.5920105 35.8952637 36.0613327 36.1887665 36.4602127 36.9372101 37.2112846 37.6869125 38.0175705 38.4135818 38.5796051 39.1379395 39.4775658 39.7668076 39.9752502 40.4372368 40.6894569 41.161972 41.2997513 41.9710083 42.5174179 42.9842148 43.5401306 44.0693436 44.3971596 45.0335045 45.6431465 46.2247925 46.4323654 46.8260765 47.3316994 47.6212234 48.4659157 49.0425758 49.8089104 50.6126022 50.8568954 51.9097672 52.829628 53.782547 54.9659729 56.2041016 57.6516991 58.6137924 59.6540375 60.2055016 61.4909515 62.6509781 64.1443787 65.360672 67.3453293 69.1923065 71.0991211 73.3883743 77.4736786 78.9176483 82.556488 88.3653793 95.1550522 119.679398 191.718018 ------------------------------ Transdef: Tab for variable 14 10.0354385 10.4484749 10.7139606 10.9255066 11.1588297 11.3749285 11.6269407 11.7325764 11.98283 12.1933155 12.317812 12.4492359 12.6506796 12.8852425 13.170558 13.5054598 13.6688023 13.852788 13.9101372 14.3091049 14.6047335 15.039072 15.4675541 15.8696527 16.0837326 16.2826214 16.3780499 16.6120491 16.83671 17.0308762 17.3653069 17.6335258 17.7358189 17.9058037 18.1127777 18.1822891 18.4438858 18.6851997 18.7701054 19.003828 19.1696033 19.2928696 19.486557 19.6260109 19.9173031 20.0902519 20.3757629 20.5787163 20.7548828 21.0430088 21.4334373 21.6674862 21.7968159 22.0124722 22.2600822 22.4417419 22.6650066 23.0148277 23.1641083 23.2893333 23.5471783 23.7200031 23.9383774 24.1680584 24.4512825 24.8048553 25.1023693 25.3183975 25.6381607 25.9000816 26.1149254 26.4806042 26.7888088 27.180027 27.493557 27.7249489 28.1162319 28.3208599 28.6742973 29.0994816 29.4314175 29.732193 30.3679352 30.9453812 31.4571953 31.5744076 32.0822525 32.7936668 33.5538635 34.6558533 35.6324921 36.4138184 37.60215 38.6179314 40.1448326 41.8725395 44.4645767 47.7507591 53.8853035 62.1768188 82.892395 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 45.4 14.1 36.8 -4.4 21.0 47.1 28.7 36.4 -31.7 -2.3 -14.6 4.3 26.4 2 45.4 100.0 50.9 41.2 19.7 64.5 93.5 65.3 88.1 -46.8 -23.5 -37.3 30.8 30.9 3 14.1 50.9 100.0 9.9 -1.6 24.5 53.6 41.1 59.5 -8.4 -24.7 -40.1 63.6 6.0 4 36.8 41.2 9.9 100.0 -1.1 21.6 44.4 35.9 45.0 -9.6 -21.0 -45.1 6.9 78.3 5 -4.4 19.7 -1.6 -1.1 100.0 79.1 -10.3 37.5 51.1 32.3 -1.8 -4.7 -1.7 -0.2 6 21.0 64.5 24.5 21.6 79.1 100.0 40.8 68.4 81.7 -1.6 -12.4 -22.4 13.5 15.9 7 47.1 93.5 53.6 44.4 -10.3 40.8 100.0 60.4 73.9 -55.0 -23.4 -36.3 31.5 32.7 8 28.7 65.3 41.1 35.9 37.5 68.4 60.4 100.0 75.7 -7.9 -21.2 -29.9 24.7 28.7 9 36.4 88.1 59.5 45.0 51.1 81.7 73.9 75.7 100.0 -18.3 -24.0 -43.0 35.9 34.0 10 -31.7 -46.8 -8.4 -9.6 32.3 -1.6 -55.0 -7.9 -18.3 100.0 1.0 4.2 -0.7 -2.0 11 -2.3 -23.5 -24.7 -21.0 -1.8 -12.4 -23.4 -21.2 -24.0 1.0 100.0 50.4 -22.1 -22.7 12 -14.6 -37.3 -40.1 -45.1 -4.7 -22.4 -36.3 -29.9 -43.0 4.2 50.4 100.0 -29.5 -39.9 13 4.3 30.8 63.6 6.9 -1.7 13.5 31.5 24.7 35.9 -0.7 -22.1 -29.5 100.0 32.8 14 26.4 30.9 6.0 78.3 -0.2 15.9 32.7 28.7 34.0 -2.0 -22.7 -39.9 32.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 101.901514 TOTAL CORRELATION OF ALL VARIABLES 53.6417209 ROUND 1: MAX CORR ( 53.6404984) AFTER KILLING INPUT VARIABLE 6 CONTR 0.362143799 ROUND 2: MAX CORR ( 53.6373222) AFTER KILLING INPUT VARIABLE 7 CONTR 0.583725963 ROUND 3: MAX CORR ( 53.6221126) AFTER KILLING INPUT VARIABLE 14 CONTR 1.27725502 ROUND 4: MAX CORR ( 53.6012243) AFTER KILLING INPUT VARIABLE 8 CONTR 1.49656635 ROUND 5: MAX CORR ( 53.5067875) AFTER KILLING INPUT VARIABLE 12 CONTR 3.18039844 ROUND 6: MAX CORR ( 53.3637657) AFTER KILLING INPUT VARIABLE 13 CONTR 3.90958029 ROUND 7: MAX CORR ( 53.1050395) AFTER KILLING INPUT VARIABLE 9 CONTR 5.24845443 ROUND 8: MAX CORR ( 52.8432266) AFTER KILLING INPUT VARIABLE 3 CONTR 5.26674666 ROUND 9: MAX CORR ( 52.5027214) AFTER KILLING INPUT VARIABLE 5 CONTR 5.98922749 ROUND 10: MAX CORR ( 51.5796763) AFTER KILLING INPUT VARIABLE 11 CONTR 9.80167073 ROUND 11: MAX CORR ( 49.5666871) AFTER KILLING INPUT VARIABLE 10 CONTR 14.269076 ROUND 12: MAX CORR ( 45.3962663) AFTER KILLING INPUT VARIABLE 4 CONTR 19.9006402 LAST REMAINING VARIABLE: 2 total correlation to target: 53.6417209 % total significance: 28.8505274 sigma correlations of single variables to target: variable 2: 45.3962663 % , in sigma: 24.415813 variable 3: 14.1136211 % , in sigma: 7.59083425 variable 4: 36.8296738 % , in sigma: 19.8083785 variable 5: -4.37960147 % , in sigma: 2.35551377 variable 6: 20.9970321 % , in sigma: 11.2929906 variable 7: 47.0797315 % , in sigma: 25.3212436 variable 8: 28.7419877 % , in sigma: 15.4585179 variable 9: 36.4405382 % , in sigma: 19.5990868 variable 10: -31.6507122 % , in sigma: 17.0229389 variable 11: -2.3205684 % , in sigma: 1.24808864 variable 12: -14.648584 % , in sigma: 7.87855734 variable 13: 4.28332297 % , in sigma: 2.30373158 variable 14: 26.3974606 % , in sigma: 14.1975434 variables sorted by significance: 1 most relevant variable 2 corr 45.3962669 , in sigma: 24.4158133 2 most relevant variable 4 corr 19.9006405 , in sigma: 10.7033101 3 most relevant variable 10 corr 14.2690763 , in sigma: 7.6744439 4 most relevant variable 11 corr 9.80167103 , in sigma: 5.27170593 5 most relevant variable 5 corr 5.98922729 , in sigma: 3.22123085 6 most relevant variable 3 corr 5.26674652 , in sigma: 2.83265362 7 most relevant variable 9 corr 5.24845457 , in sigma: 2.82281552 8 most relevant variable 13 corr 3.90958023 , in sigma: 2.10271873 9 most relevant variable 12 corr 3.18039846 , in sigma: 1.71053746 10 most relevant variable 8 corr 1.4965663 , in sigma: 0.804909428 11 most relevant variable 14 corr 1.27725506 , in sigma: 0.686955627 12 most relevant variable 7 corr 0.583725989 , in sigma: 0.313949708 13 most relevant variable 6 corr 0.362143785 , in sigma: 0.194774497 global correlations between input variables: variable 2: 98.9570467 % variable 3: 91.9901746 % variable 4: 89.8118726 % variable 5: 95.9208707 % variable 6: 94.7257821 % variable 7: 98.6011988 % variable 8: 84.8733482 % variable 9: 98.7506108 % variable 10: 71.6842939 % variable 11: 52.5998795 % variable 12: 67.9136251 % variable 13: 78.7187464 % variable 14: 86.8797748 % significance loss when removing single variables: variable 2: corr = 3.95258149 % , sigma = 2.12584642 variable 3: corr = 3.63407948 % , sigma = 1.95454411 variable 4: corr = 7.35265376 % , sigma = 3.95453269 variable 5: corr = 5.77640393 % , sigma = 3.10676647 variable 6: corr = 0.362143799 % , sigma = 0.194774504 variable 7: corr = 0.63380865 % , sigma = 0.34088604 variable 8: corr = 1.5896999 % , sigma = 0.855000169 variable 9: corr = 4.04845066 % , sigma = 2.17740846 variable 10: corr = 6.1382873 % , sigma = 3.3014009 variable 11: corr = 6.67027749 % , sigma = 3.58752516 variable 12: corr = 3.17408764 % , sigma = 1.70714326 variable 13: corr = 3.87205762 % , sigma = 2.08253767 variable 14: corr = 1.2616787 % , sigma = 0.678578076 Keep only 4 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 5 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 10.4872379 sigma out 15 active outputs RANK 2 NODE 2 --> 9.60296154 sigma out 15 active outputs RANK 3 NODE 1 --> 9.45864296 sigma out 15 active outputs RANK 4 NODE 5 --> 7.17830801 sigma out 15 active outputs RANK 5 NODE 4 --> 6.40777636 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 8.42272377 sigma in 5act. ( 9.57296276 sig out 1act.) RANK 2 NODE 8 --> 8.14676762 sigma in 5act. ( 9.56667137 sig out 1act.) RANK 3 NODE 4 --> 7.60888481 sigma in 5act. ( 9.02993393 sig out 1act.) RANK 4 NODE 6 --> 7.19130945 sigma in 5act. ( 7.50196695 sig out 1act.) RANK 5 NODE 3 --> 5.76092911 sigma in 5act. ( 5.36036539 sig out 1act.) RANK 6 NODE 14 --> 5.33171749 sigma in 5act. ( 4.51331472 sig out 1act.) RANK 7 NODE 7 --> 5.32674551 sigma in 5act. ( 6.01174116 sig out 1act.) RANK 8 NODE 2 --> 3.4615469 sigma in 5act. ( 4.09797144 sig out 1act.) RANK 9 NODE 12 --> 3.15391421 sigma in 5act. ( 3.0864017 sig out 1act.) RANK 10 NODE 15 --> 2.94752407 sigma in 5act. ( 3.09227991 sig out 1act.) RANK 11 NODE 9 --> 2.64711499 sigma in 5act. ( 2.59203196 sig out 1act.) RANK 12 NODE 10 --> 2.10204864 sigma in 5act. ( 2.23703527 sig out 1act.) RANK 13 NODE 1 --> 2.04924893 sigma in 5act. ( 2.42720509 sig out 1act.) RANK 14 NODE 5 --> 0.842704237 sigma in 5act. ( 0.84533304 sig out 1act.) RANK 15 NODE 13 --> 0.622891366 sigma in 5act. ( 0.229742572 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 9.57296276 sigma out 1act.( 8.42272377 sig in 5act.) RANK 2 NODE 8 --> 9.56667137 sigma out 1act.( 8.14676762 sig in 5act.) RANK 3 NODE 4 --> 9.02993393 sigma out 1act.( 7.60888481 sig in 5act.) RANK 4 NODE 6 --> 7.50196695 sigma out 1act.( 7.19130945 sig in 5act.) RANK 5 NODE 7 --> 6.01174116 sigma out 1act.( 5.32674551 sig in 5act.) RANK 6 NODE 3 --> 5.36036539 sigma out 1act.( 5.76092911 sig in 5act.) RANK 7 NODE 14 --> 4.51331472 sigma out 1act.( 5.33171749 sig in 5act.) RANK 8 NODE 2 --> 4.09797144 sigma out 1act.( 3.4615469 sig in 5act.) RANK 9 NODE 15 --> 3.09227991 sigma out 1act.( 2.94752407 sig in 5act.) RANK 10 NODE 12 --> 3.0864017 sigma out 1act.( 3.15391421 sig in 5act.) RANK 11 NODE 9 --> 2.59203196 sigma out 1act.( 2.64711499 sig in 5act.) RANK 12 NODE 1 --> 2.42720509 sigma out 1act.( 2.04924893 sig in 5act.) RANK 13 NODE 10 --> 2.23703527 sigma out 1act.( 2.10204864 sig in 5act.) RANK 14 NODE 5 --> 0.84533304 sigma out 1act.( 0.842704237 sig in 5act.) RANK 15 NODE 13 --> 0.229742572 sigma out 1act.( 0.622891366 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 21.4590244 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 12.0202265 sigma out 15 active outputs RANK 2 NODE 2 --> 11.3509455 sigma out 15 active outputs RANK 3 NODE 3 --> 9.54856491 sigma out 15 active outputs RANK 4 NODE 5 --> 9.04433632 sigma out 15 active outputs RANK 5 NODE 4 --> 8.91501141 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 8.71608734 sigma in 5act. ( 8.49659348 sig out 1act.) RANK 2 NODE 6 --> 8.53019619 sigma in 5act. ( 7.8774333 sig out 1act.) RANK 3 NODE 4 --> 7.37984943 sigma in 5act. ( 6.81083918 sig out 1act.) RANK 4 NODE 8 --> 7.05553198 sigma in 5act. ( 7.25466251 sig out 1act.) RANK 5 NODE 14 --> 6.63812876 sigma in 5act. ( 5.45893049 sig out 1act.) RANK 6 NODE 3 --> 6.5729332 sigma in 5act. ( 5.51513386 sig out 1act.) RANK 7 NODE 7 --> 6.10134745 sigma in 5act. ( 5.36392879 sig out 1act.) RANK 8 NODE 13 --> 5.24265575 sigma in 5act. ( 2.03759861 sig out 1act.) RANK 9 NODE 12 --> 5.16833019 sigma in 5act. ( 2.85362434 sig out 1act.) RANK 10 NODE 2 --> 4.97067642 sigma in 5act. ( 2.74903345 sig out 1act.) RANK 11 NODE 9 --> 4.27372122 sigma in 5act. ( 2.37504768 sig out 1act.) RANK 12 NODE 5 --> 4.22327995 sigma in 5act. ( 2.07000971 sig out 1act.) RANK 13 NODE 15 --> 4.19179869 sigma in 5act. ( 2.78355718 sig out 1act.) RANK 14 NODE 10 --> 2.88061452 sigma in 5act. ( 1.59100747 sig out 1act.) RANK 15 NODE 1 --> 2.72689867 sigma in 5act. ( 2.77640748 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 8.49659348 sigma out 1act.( 8.71608734 sig in 5act.) RANK 2 NODE 6 --> 7.8774333 sigma out 1act.( 8.53019619 sig in 5act.) RANK 3 NODE 8 --> 7.25466251 sigma out 1act.( 7.05553198 sig in 5act.) RANK 4 NODE 4 --> 6.81083918 sigma out 1act.( 7.37984943 sig in 5act.) RANK 5 NODE 3 --> 5.51513386 sigma out 1act.( 6.5729332 sig in 5act.) RANK 6 NODE 14 --> 5.45893049 sigma out 1act.( 6.63812876 sig in 5act.) RANK 7 NODE 7 --> 5.36392879 sigma out 1act.( 6.10134745 sig in 5act.) RANK 8 NODE 12 --> 2.85362434 sigma out 1act.( 5.16833019 sig in 5act.) RANK 9 NODE 15 --> 2.78355718 sigma out 1act.( 4.19179869 sig in 5act.) RANK 10 NODE 1 --> 2.77640748 sigma out 1act.( 2.72689867 sig in 5act.) RANK 11 NODE 2 --> 2.74903345 sigma out 1act.( 4.97067642 sig in 5act.) RANK 12 NODE 9 --> 2.37504768 sigma out 1act.( 4.27372122 sig in 5act.) RANK 13 NODE 5 --> 2.07000971 sigma out 1act.( 4.22327995 sig in 5act.) RANK 14 NODE 13 --> 2.03759861 sigma out 1act.( 5.24265575 sig in 5act.) RANK 15 NODE 10 --> 1.59100747 sigma out 1act.( 2.88061452 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 19.2358513 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.446580112 *** contribution from regularisation: 0.0179319158 *** contribution from error: -0.46451202 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.503865004 *** contribution from regularisation: 0.0104270987 *** contribution from error: -0.514292121 *********************************************** -----------------> Test sample ENTER BFGS code START -4270.09543 0.0748766214 0.0942170918 EXIT FROM BFGS code FG_START 0. 0.0748766214 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.517681777 *** contribution from regularisation: 0.00706005329 *** contribution from error: -0.524741828 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4386.31789 0.0748766214 5.19536686 EXIT FROM BFGS code FG_LNSRCH 0. 0.0967856348 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.533798456 *** contribution from regularisation: 0.0104947621 *** contribution from error: -0.544293225 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4522.87417 0.0967856348 -2.61482716 EXIT FROM BFGS code NEW_X -4522.87417 0.0967856348 -2.61482716 ENTER BFGS code NEW_X -4522.87417 0.0967856348 -2.61482716 EXIT FROM BFGS code FG_LNSRCH 0. 0.090740025 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.535368383 *** contribution from regularisation: 0.0104288515 *** contribution from error: -0.545797229 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4536.1762 0.090740025 3.75362897 EXIT FROM BFGS code NEW_X -4536.1762 0.090740025 3.75362897 ENTER BFGS code NEW_X -4536.1762 0.090740025 3.75362897 EXIT FROM BFGS code FG_LNSRCH 0. 0.0966422334 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.535219133 *** contribution from regularisation: 0.0106986929 *** contribution from error: -0.545917809 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4534.91181 0.0966422334 2.64033484 EXIT FROM BFGS code FG_LNSRCH 0. 0.0917520374 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.534693897 *** contribution from regularisation: 0.0111447005 *** contribution from error: -0.545838594 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4530.4614 0.0917520374 3.88537717 EXIT FROM BFGS code FG_LNSRCH 0. 0.0907600224 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.534374654 *** contribution from regularisation: 0.0114235776 *** contribution from error: -0.545798242 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4527.75626 0.0907600224 4.14067793 EXIT FROM BFGS code FG_LNSRCH 0. 0.0907400325 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.534714103 *** contribution from regularisation: 0.0110831289 *** contribution from error: -0.545797229 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4530.6325 0.0907400325 4.13880062 EXIT FROM BFGS code FG_LNSRCH 0. 0.090740025 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 10.0107079 sigma out 15 active outputs RANK 2 NODE 4 --> 9.95170498 sigma out 15 active outputs RANK 3 NODE 3 --> 6.77196217 sigma out 15 active outputs RANK 4 NODE 2 --> 6.5082984 sigma out 15 active outputs RANK 5 NODE 5 --> 6.46662807 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 7.01247978 sigma in 5act. ( 5.28741455 sig out 1act.) RANK 2 NODE 14 --> 6.68286133 sigma in 5act. ( 4.21817446 sig out 1act.) RANK 3 NODE 6 --> 6.26170301 sigma in 5act. ( 5.08509588 sig out 1act.) RANK 4 NODE 11 --> 5.3855629 sigma in 5act. ( 4.90183592 sig out 1act.) RANK 5 NODE 5 --> 5.30740929 sigma in 5act. ( 4.2675333 sig out 1act.) RANK 6 NODE 3 --> 4.91932297 sigma in 5act. ( 3.52214885 sig out 1act.) RANK 7 NODE 7 --> 4.72550726 sigma in 5act. ( 4.14070082 sig out 1act.) RANK 8 NODE 12 --> 3.78483605 sigma in 5act. ( 2.11445379 sig out 1act.) RANK 9 NODE 15 --> 3.76274085 sigma in 5act. ( 2.90907717 sig out 1act.) RANK 10 NODE 2 --> 3.54609728 sigma in 5act. ( 1.98411262 sig out 1act.) RANK 11 NODE 1 --> 3.41826415 sigma in 5act. ( 3.27915955 sig out 1act.) RANK 12 NODE 8 --> 3.34478378 sigma in 5act. ( 2.41624141 sig out 1act.) RANK 13 NODE 4 --> 3.30709243 sigma in 5act. ( 2.31027555 sig out 1act.) RANK 14 NODE 9 --> 3.07397389 sigma in 5act. ( 1.56057739 sig out 1act.) RANK 15 NODE 10 --> 2.86734223 sigma in 5act. ( 2.71139622 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 5.28741455 sigma out 1act.( 7.01247978 sig in 5act.) RANK 2 NODE 6 --> 5.08509588 sigma out 1act.( 6.26170301 sig in 5act.) RANK 3 NODE 11 --> 4.90183592 sigma out 1act.( 5.3855629 sig in 5act.) RANK 4 NODE 5 --> 4.2675333 sigma out 1act.( 5.30740929 sig in 5act.) RANK 5 NODE 14 --> 4.21817446 sigma out 1act.( 6.68286133 sig in 5act.) RANK 6 NODE 7 --> 4.14070082 sigma out 1act.( 4.72550726 sig in 5act.) RANK 7 NODE 3 --> 3.52214885 sigma out 1act.( 4.91932297 sig in 5act.) RANK 8 NODE 1 --> 3.27915955 sigma out 1act.( 3.41826415 sig in 5act.) RANK 9 NODE 15 --> 2.90907717 sigma out 1act.( 3.76274085 sig in 5act.) RANK 10 NODE 10 --> 2.71139622 sigma out 1act.( 2.86734223 sig in 5act.) RANK 11 NODE 8 --> 2.41624141 sigma out 1act.( 3.34478378 sig in 5act.) RANK 12 NODE 4 --> 2.31027555 sigma out 1act.( 3.30709243 sig in 5act.) RANK 13 NODE 12 --> 2.11445379 sigma out 1act.( 3.78483605 sig in 5act.) RANK 14 NODE 2 --> 1.98411262 sigma out 1act.( 3.54609728 sig in 5act.) RANK 15 NODE 9 --> 1.56057739 sigma out 1act.( 3.07397389 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.8558521 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.534451663 *** contribution from regularisation: 0.011345569 *** contribution from error: -0.545797229 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4528.40885 0.090740025 4.15328503 EXIT FROM BFGS code FG_LNSRCH 0. 0.090740025 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.534534395 *** contribution from regularisation: 0.011262835 *** contribution from error: -0.545797229 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4529.10985 0.090740025 4.1881547 EXIT FROM BFGS code FG_LNSRCH 0. 0.090740025 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.53494674 *** contribution from regularisation: 0.0108504696 *** contribution from error: -0.545797229 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4532.60383 0.090740025 4.16703129 EXIT FROM BFGS code NEW_X -4532.60383 0.090740025 4.16703129 ENTER BFGS code NEW_X -4532.60383 0.090740025 4.16703129 EXIT FROM BFGS code CONVERGENC -4532.60383 0.090740025 4.16703129 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 15.1639643 sigma out 15 active outputs RANK 2 NODE 4 --> 15.0320349 sigma out 15 active outputs RANK 3 NODE 5 --> 10.1073809 sigma out 15 active outputs RANK 4 NODE 2 --> 10.0007553 sigma out 15 active outputs RANK 5 NODE 3 --> 9.82751751 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 11.2642403 sigma in 5act. ( 9.08051491 sig out 1act.) RANK 2 NODE 14 --> 10.799839 sigma in 5act. ( 7.24789619 sig out 1act.) RANK 3 NODE 11 --> 9.28361511 sigma in 5act. ( 7.77295494 sig out 1act.) RANK 4 NODE 6 --> 8.70543194 sigma in 5act. ( 9.21108055 sig out 1act.) RANK 5 NODE 5 --> 8.66318417 sigma in 5act. ( 6.87389088 sig out 1act.) RANK 6 NODE 3 --> 7.30092907 sigma in 5act. ( 6.1947732 sig out 1act.) RANK 7 NODE 7 --> 6.6504631 sigma in 5act. ( 7.42977524 sig out 1act.) RANK 8 NODE 15 --> 5.55452204 sigma in 5act. ( 5.1886673 sig out 1act.) RANK 9 NODE 1 --> 5.22461653 sigma in 5act. ( 5.52479362 sig out 1act.) RANK 10 NODE 8 --> 5.10578918 sigma in 5act. ( 3.65118742 sig out 1act.) RANK 11 NODE 12 --> 4.76216936 sigma in 5act. ( 3.52072358 sig out 1act.) RANK 12 NODE 4 --> 4.68413639 sigma in 5act. ( 3.70893312 sig out 1act.) RANK 13 NODE 10 --> 4.16594124 sigma in 5act. ( 4.24250603 sig out 1act.) RANK 14 NODE 2 --> 4.15625095 sigma in 5act. ( 3.61126661 sig out 1act.) RANK 15 NODE 9 --> 3.62247014 sigma in 5act. ( 2.88694835 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 9.21108055 sigma out 1act.( 8.70543194 sig in 5act.) RANK 2 NODE 13 --> 9.08051491 sigma out 1act.( 11.2642403 sig in 5act.) RANK 3 NODE 11 --> 7.77295494 sigma out 1act.( 9.28361511 sig in 5act.) RANK 4 NODE 7 --> 7.42977524 sigma out 1act.( 6.6504631 sig in 5act.) RANK 5 NODE 14 --> 7.24789619 sigma out 1act.( 10.799839 sig in 5act.) RANK 6 NODE 5 --> 6.87389088 sigma out 1act.( 8.66318417 sig in 5act.) RANK 7 NODE 3 --> 6.1947732 sigma out 1act.( 7.30092907 sig in 5act.) RANK 8 NODE 1 --> 5.52479362 sigma out 1act.( 5.22461653 sig in 5act.) RANK 9 NODE 15 --> 5.1886673 sigma out 1act.( 5.55452204 sig in 5act.) RANK 10 NODE 10 --> 4.24250603 sigma out 1act.( 4.16594124 sig in 5act.) RANK 11 NODE 4 --> 3.70893312 sigma out 1act.( 4.68413639 sig in 5act.) RANK 12 NODE 8 --> 3.65118742 sigma out 1act.( 5.10578918 sig in 5act.) RANK 13 NODE 2 --> 3.61126661 sigma out 1act.( 4.15625095 sig in 5act.) RANK 14 NODE 12 --> 3.52072358 sigma out 1act.( 4.76216936 sig in 5act.) RANK 15 NODE 9 --> 2.88694835 sigma out 1act.( 3.62247014 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.6089115 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.534449875 *** contribution from regularisation: 0.0113473218 *** contribution from error: -0.545797169 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23090 Closing output file done