NNInput NNInputs_175.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= 184590 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 = 44790 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 44790 Chosen entries: 44790 Signal fraction: 1 Background fraction: 0.320386 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 44790 Entries to split: 44790 Test with : 22395 Train with : 22395 ********************************************* * 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= 44790 for Signal Prepared event 0 for Signal with 44790 events ====Entry 0 Variable Ht : 241.352 Variable LepAPt : 26.6709 Variable LepBPt : 20.757 Variable MetSigLeptonsJets : 8.7004 Variable MetSpec : 102.516 Variable SumEtLeptonsJets : 138.836 Variable VSumJetLeptonsPt : 95.4385 Variable addEt : 149.944 Variable dPhiLepSumMet : 1.91756 Variable dPhiLeptons : 0.237715 Variable dRLeptons : 0.435475 Variable lep1_E : 34.2866 Variable lep2_E : 22.2255 ===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 = 2175 Ht = 241.352 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 26.6709 LepAPt = 26.6709 LepBEt = 20.7574 LepBPt = 20.757 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 102.516 MetDelPhi = 1.78381 MetSig = 7.13205 MetSigLeptonsJets = 8.7004 MetSpec = 102.516 Mjj = 0 MostCentralJetEta = 1.70124 MtllMet = 156.27 Njets = 1 SB = 0 SumEt = 206.61 SumEtJets = 0 SumEtLeptonsJets = 138.836 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 95.4385 addEt = 149.944 dPhiLepSumMet = 1.91756 dPhiLeptons = 0.237715 dRLeptons = 0.435475 diltype = 54 dimass = 10.2815 event = 116 jet1_Et = 91.408 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 34.2866 lep2_E = 22.2255 rand = 0.999742 run = 236503 weight = 2.5946e-06 ===Show End Prepared event 10000 for Signal with 44790 events Prepared event 20000 for Signal with 44790 events Prepared event 30000 for Signal with 44790 events Prepared event 40000 for Signal with 44790 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 139800 for Background Prepared event 0 for Background with 139800 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.251875 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00331651 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4396 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 184590 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 4396 negative weights. Signal fraction: 63.0452347 % ------------------------------ 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 60.0019798 63.5681763 65.8244171 67.3935242 68.6857605 69.8401337 70.7928467 71.4993744 72.4176712 73.3022385 73.9767609 74.60466 75.4048157 76.0672531 76.8621979 77.4156876 78.0681 78.7317886 79.4147263 80.010849 80.8777313 81.5569153 82.3630524 82.9646912 83.7138138 84.744072 85.8146667 86.9184341 88.2714539 89.6313095 91.3135681 92.8547821 94.2835541 96.1550446 97.9107056 99.7285919 101.540909 103.346863 105.01384 106.488312 108.122604 109.702568 111.439819 113.11837 114.935898 116.820251 118.748947 120.23246 121.879761 123.801941 125.618622 127.398285 129.041412 130.725861 132.399323 133.795441 135.375351 136.967499 138.504547 140.185394 141.721268 143.149567 144.652618 146.111588 147.688629 149.027908 150.557251 151.881958 153.452942 154.940536 156.504944 158.143875 159.711945 161.37709 163.210938 165.032379 166.748306 168.747528 170.72142 172.776886 175.356369 177.595795 180.059296 182.714996 185.402985 188.381531 191.583755 195.043732 198.942551 202.796844 207.442932 212.488419 217.971924 224.095016 232.481903 240.887787 252.091446 266.93924 289.550476 337.707458 824.779175 ------------------------------ Transdef: Tab for variable 3 20.0001698 20.3897667 20.744091 21.0852966 21.3890076 21.6822338 21.9219513 22.1486568 22.3924332 22.6851959 22.9131413 23.1609039 23.4121971 23.6181183 23.8270607 24.0941868 24.3489037 24.5907898 24.8263893 25.0625648 25.251646 25.4531479 25.6275845 25.8454475 26.0552635 26.2738247 26.5065613 26.7360191 26.9821358 27.2136326 27.4891281 27.731472 27.9423485 28.1699715 28.3969612 28.6736755 28.899559 29.1558151 29.3876934 29.667696 29.9301319 30.2754211 30.579916 30.9347115 31.2434845 31.6136169 31.8980103 32.1474533 32.4848099 32.8228073 33.1639481 33.4653969 33.7935715 34.1412163 34.4857407 34.8376007 35.214119 35.5780334 35.9298592 36.2913933 36.6675339 37.0208511 37.4182053 37.7928543 38.204277 38.6168213 39.0190582 39.3113708 39.7242546 40.0852394 40.4781952 40.8138657 41.2129402 41.6369247 42.0821991 42.5672607 43.0149689 43.5199661 44.0750046 44.5972137 45.1807175 45.7323303 46.2770996 46.9015808 47.574791 48.194252 48.8987656 49.6172791 50.419754 51.162571 52.0351791 52.944664 54.0311203 55.1996689 56.5603943 58.062645 60.1277351 62.4878235 66.1793747 73.5270615 161.648132 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1256123 10.2549906 10.3762321 10.4843712 10.6164303 10.7608356 10.8944416 11.0277977 11.1842203 11.352663 11.4863691 11.6290112 11.761281 11.9522314 12.120369 12.2693501 12.4322968 12.5960941 12.7753038 12.9355526 13.0981979 13.2728472 13.4686165 13.6627674 13.837265 13.9971666 14.1945333 14.3879795 14.6101294 14.8262939 15.0486679 15.2906923 15.4734745 15.6784697 15.8735838 16.1293335 16.4072609 16.6610432 16.8891869 17.1827564 17.4686298 17.750515 17.9862728 18.2268066 18.4891243 18.7536507 19.0595856 19.3158474 19.6021538 19.8979492 20.1827831 20.396904 20.6587563 20.9619503 21.2152367 21.4841995 21.7244873 21.9597778 22.1458244 22.4454136 22.7325001 23.0144615 23.2975006 23.5650883 23.8491058 24.1182022 24.4215488 24.7192039 25.0301952 25.3135796 25.6101189 25.9280319 26.2527084 26.5696621 26.8718987 27.1843567 27.4872608 27.785965 28.1032448 28.4028664 28.7584019 29.0934944 29.4808655 29.853054 30.2564735 30.6497574 31.0985909 31.5579453 32.0085144 32.5776672 33.1316299 33.7603416 34.4625549 35.209877 36.1190033 37.1804733 38.6890411 40.9469986 44.2837219 76.1094437 ------------------------------ Transdef: Tab for variable 5 1.1949476 2.79192662 3.18703866 3.50455809 3.76970506 3.99103713 4.12552547 4.28387594 4.41037273 4.52109432 4.61037731 4.71721029 4.81622028 4.91955709 4.99783707 5.07448912 5.14245033 5.21049023 5.27475834 5.33546829 5.40168667 5.46225452 5.51952267 5.57703972 5.63218451 5.68869686 5.73428154 5.78524351 5.83668709 5.88895798 5.94007254 5.98702097 6.02517223 6.0728054 6.11137581 6.15856457 6.20623779 6.25558281 6.28804922 6.33209705 6.37633038 6.42532158 6.47170639 6.51998138 6.57568026 6.62751961 6.67529535 6.72708035 6.7711277 6.81670284 6.86307096 6.90339661 6.96335649 7.00412846 7.05601788 7.11232471 7.1621871 7.21591043 7.26892138 7.31689644 7.37632132 7.42835712 7.48364782 7.53659678 7.59991598 7.66197538 7.72700071 7.79170895 7.85366344 7.91356897 7.97242022 8.02971172 8.0923214 8.15469933 8.22058773 8.28137302 8.34280396 8.40538979 8.47694206 8.53460121 8.60118008 8.67333412 8.7471323 8.82079697 8.89821434 8.96825409 9.05552578 9.1348114 9.23554897 9.32224846 9.41806221 9.52927494 9.65105629 9.79388332 9.95336151 10.1499996 10.4064884 10.7525196 11.2374439 12.2117624 18.1303024 ------------------------------ Transdef: Tab for variable 6 15.0050735 21.3141708 25.6340599 26.7616348 27.6669388 28.610857 29.4356422 30.1440792 30.8426857 31.4930229 32.1873817 32.7718468 33.2933426 33.7767754 34.3023376 34.7396622 35.0896149 35.5814972 36.0700836 36.4321175 36.804306 37.1938019 37.5302353 37.9475327 38.2696609 38.6991501 39.0970306 39.4427109 39.8213577 40.267807 40.5442162 41.0197067 41.4972534 41.9894791 42.4285049 42.9293594 43.3687134 43.8572617 44.2349968 44.6468735 45.3463745 46.0635605 46.7158432 47.3885269 48.076973 48.7249985 49.5283432 50.2645454 50.9660645 51.8384056 52.7127991 53.5328369 54.4130096 55.2475471 56.0693398 56.8160133 57.5399246 58.3897858 59.057518 59.8792572 60.7398109 61.5830078 62.4599037 63.3024673 64.2034302 65.0826721 65.9010162 66.6786957 67.4913483 68.2832642 69.0765686 69.8699188 70.7553711 71.541069 72.3714828 73.1782379 74.0267639 74.7941895 75.5677795 76.3995361 77.0187531 77.907074 78.8157043 79.8069229 80.7446136 81.7719116 82.6999512 83.8058624 85.1414948 86.5093079 87.9880829 89.711113 91.6710052 93.9536819 96.8367767 100.224335 103.972038 109.136131 116.660851 129.49826 263.347626 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.148468 33.9380417 34.7057953 35.3338203 35.8762589 36.2425041 36.6557388 37.0657578 37.467804 37.8093185 38.122551 38.4021072 38.754715 39.0676308 39.3069344 39.5720291 39.89151 40.2272644 40.58638 40.9254913 41.2859344 41.6021881 41.9953995 42.4550018 43.0083427 43.6264343 44.3129005 44.9143982 45.6041336 46.6136971 47.586895 48.5489502 49.4848022 50.6697502 51.6827621 52.8947334 53.8559723 55.0334549 55.9996948 56.9657021 57.961441 59.0788345 60.0804596 61.0558319 61.738102 62.648922 63.5166817 64.4360962 65.2728119 66.1281662 67.0028305 67.885231 68.7026215 69.6500168 70.533432 71.3904953 72.2294769 73.0630493 73.8636627 74.6882248 75.5491943 76.4060822 77.2681427 78.2534485 79.1794357 80.2114105 81.3404694 82.3844452 83.4331589 84.6187744 85.9180145 87.386795 88.7690277 90.2920685 91.8296661 93.4505615 94.9208069 96.6910706 98.5345306 100.38752 102.277481 104.333755 106.462318 108.692787 110.971664 113.496155 116.153244 119.253845 122.930168 126.729858 130.980026 135.746231 140.934647 146.947296 154.296356 164.065155 176.321732 195.290192 229.485626 533.700562 ------------------------------ Transdef: Tab for variable 8 2.05942559 25.1676636 29.7299805 31.5197201 32.3726196 33.0198708 33.6425858 34.1542244 34.6288605 35.0444794 35.3840866 35.7357559 36.090435 36.4323273 36.7565079 37.1036148 37.4032745 37.7544098 38.0102196 38.2243538 38.5153503 38.7649536 38.9966927 39.2807388 39.5802841 39.9120102 40.2141953 40.5010529 40.8113403 41.1773911 41.4934921 41.8735504 42.2737808 42.713623 43.1760216 43.6854401 44.1850586 44.8264008 45.4041977 46.0920486 46.7751465 47.521553 48.2294388 48.8067474 49.3780251 50.1671486 50.8864136 51.6579552 52.4380188 53.1876907 53.9353294 54.757782 55.4998322 56.259285 57.0060425 57.7863808 58.621067 59.3969421 60.1055031 60.8735809 61.4581947 62.1391754 62.8806381 63.6093292 64.3740387 65.095108 65.7363815 66.4006195 67.0782623 67.8264313 68.599472 69.3341064 70.0868378 70.8525085 71.6148682 72.2898865 73.0383987 73.8314972 74.5163422 75.3384247 76.1195221 76.9988708 77.8778229 78.6692581 79.6957397 80.6888275 81.7751236 82.7703705 83.9663696 85.4339905 87.0497742 88.7231445 90.7294006 92.8466492 95.7427368 99.5067978 104.003448 110.03022 118.949234 136.347977 374.426086 ------------------------------ Transdef: Tab for variable 9 48.8581314 63.1234665 65.2173615 66.8694916 68.1209946 69.1524658 70.1250153 70.9054337 71.5765381 72.4084549 73.2227478 73.8654938 74.3730469 75.1562195 75.7007904 76.3805847 77.0104065 77.5062408 78.0858231 78.6329346 79.2831573 79.7738037 80.4160156 81.0274811 81.6485748 82.3480225 82.8358917 83.5058441 84.3039246 85.1178741 86.0009766 86.918396 87.9265594 88.9458771 89.9947357 91.2769623 92.3274078 93.5485382 94.8950958 96.2472992 97.9064178 99.6248856 101.217545 102.58403 104.059807 105.554993 106.883438 108.474823 109.890671 111.26889 112.913071 114.35527 115.623657 116.968002 118.412659 119.717636 120.907043 122.198303 123.689598 125.1259 126.539749 127.933167 129.17865 130.487366 131.823639 133.091003 134.3918 135.679749 136.884918 138.054886 139.298309 140.509277 141.613373 142.867966 144.014587 145.27243 146.448456 147.718048 148.78421 149.867737 151.002106 152.143158 153.403595 154.603363 155.832184 157.144867 158.414413 159.890442 161.240112 162.734543 164.321289 165.87146 167.763977 169.748352 172.022186 174.809296 178.356506 183.242111 190.942841 211.060898 422.574371 ------------------------------ Transdef: Tab for variable 10 0.00602381537 1.03295588 1.42454576 1.6413573 1.807271 1.92021155 2.0249753 2.10671902 2.17566919 2.24020624 2.29484129 2.34533238 2.39151359 2.43424678 2.46807337 2.5032568 2.53452086 2.56359196 2.58903146 2.61233211 2.63151932 2.65445042 2.67788124 2.69865441 2.71631098 2.73622131 2.75406027 2.76971889 2.78239965 2.79787064 2.81166387 2.82383204 2.83543968 2.84693003 2.85598588 2.86423731 2.87415457 2.88493681 2.89336109 2.90200305 2.91098595 2.91809607 2.92437243 2.93128824 2.93820071 2.94632173 2.95290804 2.96007776 2.96578169 2.97300124 2.97863674 2.9838953 2.98844624 2.99348211 2.99864721 3.00321317 3.00752258 3.0120883 3.01617074 3.02061534 3.02471399 3.02891898 3.03319359 3.03692746 3.04079866 3.04390144 3.04782772 3.05107236 3.05461049 3.05809355 3.06173301 3.06555748 3.06890154 3.07232285 3.07526994 3.07809067 3.08100033 3.08354568 3.08684254 3.08970118 3.09262562 3.09517217 3.09779739 3.10059834 3.10356212 3.10586977 3.1086092 3.1108799 3.11361003 3.11615968 3.11841154 3.12068272 3.12331724 3.12596345 3.12843299 3.13032961 3.13190937 3.13430405 3.13648033 3.1389091 3.14159226 ------------------------------ Transdef: Tab for variable 11 7.9870224E-06 0.00516326539 0.0114992 0.0180249177 0.0236254036 0.0299105644 0.0372710228 0.0443371534 0.0503640771 0.0585344955 0.0643968433 0.0723473206 0.0791918188 0.0869538188 0.0941312015 0.101412296 0.108079851 0.113640562 0.120444 0.127845168 0.135398388 0.142510176 0.148723483 0.154973388 0.161274284 0.166761518 0.173598126 0.179885924 0.185702294 0.191404641 0.196583271 0.201948106 0.206658065 0.211309493 0.216364563 0.221713781 0.226765841 0.231524944 0.236094818 0.241060734 0.246836662 0.252111912 0.257183075 0.262052596 0.267049968 0.271602511 0.277164638 0.281944275 0.286456674 0.291501582 0.296604514 0.302009821 0.306712389 0.311765671 0.317328572 0.322974354 0.329132318 0.334081233 0.339246154 0.344585359 0.34981975 0.355170727 0.359755278 0.36604774 0.371696353 0.377391815 0.383538306 0.388516903 0.395235538 0.401050746 0.407493472 0.413544178 0.419526935 0.425917387 0.432833642 0.439758062 0.44741869 0.45448941 0.461505771 0.469494343 0.477829933 0.486541986 0.497142911 0.50681591 0.515464485 0.527143538 0.537004709 0.545677781 0.556986094 0.570109069 0.580568612 0.596680701 0.613469601 0.63227582 0.649717331 0.67252934 0.703320503 0.731087923 0.779927135 0.838846505 1.13430727 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.210076556 0.219821811 0.228535727 0.236794025 0.244360596 0.251794964 0.258386165 0.265809715 0.271851867 0.2786358 0.284341305 0.290783048 0.29698801 0.302473783 0.307653278 0.312789321 0.318696558 0.323484391 0.328979641 0.333898842 0.338967979 0.344250798 0.349149704 0.353830457 0.359486043 0.364509702 0.369293749 0.374014676 0.378926992 0.384142309 0.389146626 0.393718719 0.398368418 0.402406007 0.405796647 0.40968588 0.412947476 0.416707397 0.420416236 0.424066722 0.427702844 0.431390345 0.435176313 0.438331306 0.442109823 0.446071148 0.449743569 0.453852534 0.457247734 0.46097213 0.465160817 0.469435036 0.473677903 0.476914316 0.480854332 0.485136807 0.488809943 0.492917717 0.497782916 0.50220263 0.507552564 0.512420893 0.517947435 0.522372365 0.528233826 0.533616185 0.538971126 0.544581473 0.549003601 0.554828644 0.56063205 0.566633582 0.573208809 0.579204917 0.585403442 0.591403604 0.598476768 0.604968548 0.612854838 0.620240092 0.627849221 0.635583997 0.645773709 0.655901074 0.663615704 0.671878755 0.682617962 0.695229411 0.706805825 0.719920874 0.731814981 0.744882941 0.757642508 0.77033174 0.787824869 0.807902575 0.831164598 0.862632871 0.907158554 1.13770998 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.6510429 22.5354156 23.3433113 23.9019012 24.5542297 25.1615486 25.651165 26.0852776 26.6179085 27.1147346 27.5781975 28.0322723 28.4397926 28.852953 29.2391167 29.5979652 29.9768848 30.3633347 30.7641983 31.0151405 31.415266 31.7629929 32.1294708 32.5221901 32.9316101 33.265213 33.6649666 34.0428238 34.4873657 34.8574295 35.202507 35.5307541 35.959343 36.2712631 36.7041817 37.1307449 37.4850388 37.8741608 38.2633781 38.6846924 39.0490112 39.5054092 39.9304848 40.3421707 40.7489281 41.1984863 41.6497421 42.0991516 42.541153 42.9513588 43.315361 43.714035 44.1584702 44.5746841 45.0572739 45.5466995 46.0488892 46.5291939 46.9566879 47.3820381 47.8488922 48.3190002 48.8567848 49.3053398 49.8046761 50.3432846 50.8914185 51.462471 52.0695801 52.6065521 53.229454 53.8554916 54.4477615 55.1270561 55.8094025 56.4570312 57.0731926 57.8057938 58.5130157 59.2704239 60.1328506 61.0228424 61.9528351 63.013176 64.0932617 65.3170319 66.5015717 67.6914902 68.9296494 70.3055725 72.0212555 74.0027542 76.0763321 78.041153 81.1713867 84.7422409 87.6290283 93.4429703 101.873383 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7241497 11.2139206 11.5670738 12.0598125 12.3505325 12.7593622 13.1844997 13.5117168 13.8275547 14.1321259 14.4562283 14.7673492 15.1422768 15.4741058 15.7498922 16.0623245 16.4294682 16.7670765 17.0269585 17.3911552 17.7057858 18.0163841 18.3423615 18.6998787 19.0157013 19.2966003 19.6383133 19.9684982 20.2912636 20.6209106 20.9260864 21.2313004 21.5492058 21.8190346 22.0795403 22.3634377 22.6659546 22.9518909 23.2206879 23.5151596 23.8517838 24.1681747 24.445282 24.7360115 25.0126114 25.2727623 25.5456161 25.7866745 26.0502625 26.3375549 26.6052132 26.8770256 27.1507816 27.4434299 27.7095871 27.9609032 28.176836 28.4361115 28.7575531 29.0416889 29.3286552 29.6046181 29.9010391 30.2357903 30.5310802 30.8344307 31.1561565 31.4586277 31.7608833 32.097229 32.4492722 32.8094177 33.1994324 33.4476013 33.7819748 34.1539001 34.5648117 34.9663467 35.407135 35.893959 36.4014969 36.9011116 37.3756409 37.9000854 38.513649 39.1438637 39.8545151 40.5368614 41.3019829 42.1331902 43.1022949 44.1458855 45.0509186 46.3938789 47.9953537 49.9355202 52.8968964 56.0596313 62.6442146 122.221924 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 66.2 53.3 56.2 33.8 52.5 63.6 56.9 65.1 -23.6 -19.3 -44.2 16.9 27.4 2 66.2 100.0 67.9 61.5 42.3 71.7 94.6 78.0 92.6 -43.5 -25.0 -52.9 33.6 34.6 3 53.3 67.9 100.0 50.2 17.3 40.1 70.5 57.9 74.3 -14.4 -28.3 -60.3 64.0 27.7 4 56.2 61.5 50.2 100.0 20.4 40.4 62.3 54.1 66.9 -11.5 -31.0 -65.6 23.5 71.8 5 33.8 42.3 17.3 20.4 100.0 85.1 15.9 62.0 61.7 19.7 -9.6 -17.9 1.1 7.5 6 52.5 71.7 40.1 40.4 85.1 100.0 51.7 80.8 81.4 -7.9 -17.2 -35.0 14.3 20.1 7 63.6 94.6 70.5 62.3 15.9 51.7 100.0 69.8 81.7 -52.2 -23.8 -52.9 37.6 36.6 8 56.9 78.0 57.9 54.1 62.0 80.8 69.8 100.0 85.3 -12.4 -24.3 -48.1 28.5 31.5 9 65.1 92.6 74.3 66.9 61.7 81.4 81.7 85.3 100.0 -20.8 -28.2 -59.2 38.8 39.4 10 -23.6 -43.5 -14.4 -11.5 19.7 -7.9 -52.2 -12.4 -20.8 100.0 2.4 7.6 -4.9 -4.1 11 -19.3 -25.0 -28.3 -31.0 -9.6 -17.2 -23.8 -24.3 -28.2 2.4 100.0 52.8 -11.6 -18.9 12 -44.2 -52.9 -60.3 -65.6 -17.9 -35.0 -52.9 -48.1 -59.2 7.6 52.8 100.0 -30.0 -39.5 13 16.9 33.6 64.0 23.5 1.1 14.3 37.6 28.5 38.8 -4.9 -11.6 -30.0 100.0 48.6 14 27.4 34.6 27.7 71.8 7.5 20.1 36.6 31.5 39.4 -4.1 -18.9 -39.5 48.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 172.390816 TOTAL CORRELATION OF ALL VARIABLES 73.7067647 ROUND 1: MAX CORR ( 73.7009188) AFTER KILLING INPUT VARIABLE 8 CONTR 0.92829746 ROUND 2: MAX CORR ( 73.6868347) AFTER KILLING INPUT VARIABLE 14 CONTR 1.44077317 ROUND 3: MAX CORR ( 73.6663642) AFTER KILLING INPUT VARIABLE 12 CONTR 1.736776 ROUND 4: MAX CORR ( 73.61529) AFTER KILLING INPUT VARIABLE 11 CONTR 2.7426785 ROUND 5: MAX CORR ( 73.5212037) AFTER KILLING INPUT VARIABLE 6 CONTR 3.72068988 ROUND 6: MAX CORR ( 73.4059825) AFTER KILLING INPUT VARIABLE 10 CONTR 4.11450194 ROUND 7: MAX CORR ( 73.2215614) AFTER KILLING INPUT VARIABLE 2 CONTR 5.20011714 ROUND 8: MAX CORR ( 72.0877494) AFTER KILLING INPUT VARIABLE 9 CONTR 12.8356314 ROUND 9: MAX CORR ( 70.7786996) AFTER KILLING INPUT VARIABLE 13 CONTR 13.6754997 ROUND 10: MAX CORR ( 70.310805) AFTER KILLING INPUT VARIABLE 3 CONTR 8.12496305 ROUND 11: MAX CORR ( 67.9438001) AFTER KILLING INPUT VARIABLE 4 CONTR 18.0900341 ROUND 12: MAX CORR ( 63.5791296) AFTER KILLING INPUT VARIABLE 5 CONTR 23.9594291 LAST REMAINING VARIABLE: 7 total correlation to target: 73.7067647 % total significance: 139.338604 sigma correlations of single variables to target: variable 2: 66.2131941 % , in sigma: 125.172419 variable 3: 53.3113383 % , in sigma: 100.782167 variable 4: 56.17952 % , in sigma: 106.204307 variable 5: 33.7798039 % , in sigma: 63.8588701 variable 6: 52.4959527 % , in sigma: 99.2407248 variable 7: 63.5791296 % , in sigma: 120.192864 variable 8: 56.9039774 % , in sigma: 107.573854 variable 9: 65.1172052 % , in sigma: 123.100512 variable 10: -23.6318716 % , in sigma: 44.6747596 variable 11: -19.3215081 % , in sigma: 36.5262533 variable 12: -44.1615538 % , in sigma: 83.485 variable 13: 16.9150264 % , in sigma: 31.9769314 variable 14: 27.3953126 % , in sigma: 51.7893387 variables sorted by significance: 1 most relevant variable 7 corr 63.5791283 , in sigma: 120.192862 2 most relevant variable 5 corr 23.9594288 , in sigma: 45.2939885 3 most relevant variable 4 corr 18.0900345 , in sigma: 34.1982199 4 most relevant variable 3 corr 8.12496281 , in sigma: 15.3597974 5 most relevant variable 13 corr 13.6754999 , in sigma: 25.852784 6 most relevant variable 9 corr 12.8356314 , in sigma: 24.2650585 7 most relevant variable 2 corr 5.20011711 , in sigma: 9.83053673 8 most relevant variable 10 corr 4.11450195 , in sigma: 7.7782407 9 most relevant variable 6 corr 3.72068977 , in sigma: 7.03376034 10 most relevant variable 11 corr 2.7426784 , in sigma: 5.18488338 11 most relevant variable 12 corr 1.73677599 , in sigma: 3.28327994 12 most relevant variable 14 corr 1.44077313 , in sigma: 2.72370273 13 most relevant variable 8 corr 0.92829746 , in sigma: 1.75489553 global correlations between input variables: variable 2: 99.1804078 % variable 3: 92.8698988 % variable 4: 91.9603939 % variable 5: 95.3869671 % variable 6: 94.7059194 % variable 7: 98.7744167 % variable 8: 90.8378473 % variable 9: 98.7866136 % variable 10: 71.3270814 % variable 11: 53.8611101 % variable 12: 78.9694143 % variable 13: 84.7344968 % variable 14: 87.6250153 % significance loss when removing single variables: variable 2: corr = 3.24165421 % , sigma = 6.12816982 variable 3: corr = 17.726329 % , sigma = 33.5106545 variable 4: corr = 15.6497465 % , sigma = 29.5849891 variable 5: corr = 12.9974651 % , sigma = 24.5709962 variable 6: corr = 3.85464932 % , sigma = 7.28700353 variable 7: corr = 6.54282911 % , sigma = 12.3688603 variable 8: corr = 0.92829746 % , sigma = 1.75489553 variable 9: corr = 12.5994815 % , sigma = 23.8186301 variable 10: corr = 3.58799285 % , sigma = 6.78290406 variable 11: corr = 1.60607051 % , sigma = 3.03618838 variable 12: corr = 1.81422405 % , sigma = 3.42969126 variable 13: corr = 8.00597667 % , sigma = 15.1348606 variable 14: corr = 1.42475997 % , sigma = 2.69343073 Keep only 10 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 11 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 18.0762901 sigma out 15 active outputs RANK 2 NODE 3 --> 14.9300804 sigma out 15 active outputs RANK 3 NODE 4 --> 14.3680592 sigma out 15 active outputs RANK 4 NODE 7 --> 13.7291927 sigma out 15 active outputs RANK 5 NODE 9 --> 13.3056288 sigma out 15 active outputs RANK 6 NODE 6 --> 13.2038174 sigma out 15 active outputs RANK 7 NODE 2 --> 12.4876232 sigma out 15 active outputs RANK 8 NODE 5 --> 11.9323435 sigma out 15 active outputs RANK 9 NODE 1 --> 10.5375748 sigma out 15 active outputs RANK 10 NODE 11 --> 10.5159283 sigma out 15 active outputs RANK 11 NODE 10 --> 8.14220715 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 23.306572 sigma in 11act. ( 26.7710094 sig out 1act.) RANK 2 NODE 1 --> 20.2612057 sigma in 11act. ( 23.2768307 sig out 1act.) RANK 3 NODE 4 --> 13.7749805 sigma in 11act. ( 12.2722778 sig out 1act.) RANK 4 NODE 5 --> 13.4392052 sigma in 11act. ( 15.8674431 sig out 1act.) RANK 5 NODE 11 --> 12.770381 sigma in 11act. ( 16.7350311 sig out 1act.) RANK 6 NODE 9 --> 12.7250137 sigma in 11act. ( 15.0791588 sig out 1act.) RANK 7 NODE 8 --> 8.78611565 sigma in 11act. ( 10.1626835 sig out 1act.) RANK 8 NODE 7 --> 8.42888832 sigma in 11act. ( 8.28076458 sig out 1act.) RANK 9 NODE 13 --> 5.01928282 sigma in 11act. ( 6.68103647 sig out 1act.) RANK 10 NODE 14 --> 4.30673027 sigma in 11act. ( 5.02105713 sig out 1act.) RANK 11 NODE 15 --> 3.90330172 sigma in 11act. ( 3.36501479 sig out 1act.) RANK 12 NODE 10 --> 3.30274177 sigma in 11act. ( 4.71398592 sig out 1act.) RANK 13 NODE 12 --> 2.82181573 sigma in 11act. ( 5.14598036 sig out 1act.) RANK 14 NODE 6 --> 2.45292926 sigma in 11act. ( 0.645097375 sig out 1act.) RANK 15 NODE 3 --> 1.01195824 sigma in 11act. ( 1.34599245 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 26.7710094 sigma out 1act.( 23.306572 sig in 11act.) RANK 2 NODE 1 --> 23.2768307 sigma out 1act.( 20.2612057 sig in 11act.) RANK 3 NODE 11 --> 16.7350311 sigma out 1act.( 12.770381 sig in 11act.) RANK 4 NODE 5 --> 15.8674431 sigma out 1act.( 13.4392052 sig in 11act.) RANK 5 NODE 9 --> 15.0791588 sigma out 1act.( 12.7250137 sig in 11act.) RANK 6 NODE 4 --> 12.2722778 sigma out 1act.( 13.7749805 sig in 11act.) RANK 7 NODE 8 --> 10.1626835 sigma out 1act.( 8.78611565 sig in 11act.) RANK 8 NODE 7 --> 8.28076458 sigma out 1act.( 8.42888832 sig in 11act.) RANK 9 NODE 13 --> 6.68103647 sigma out 1act.( 5.01928282 sig in 11act.) RANK 10 NODE 12 --> 5.14598036 sigma out 1act.( 2.82181573 sig in 11act.) RANK 11 NODE 14 --> 5.02105713 sigma out 1act.( 4.30673027 sig in 11act.) RANK 12 NODE 10 --> 4.71398592 sigma out 1act.( 3.30274177 sig in 11act.) RANK 13 NODE 15 --> 3.36501479 sigma out 1act.( 3.90330172 sig in 11act.) RANK 14 NODE 3 --> 1.34599245 sigma out 1act.( 1.01195824 sig in 11act.) RANK 15 NODE 6 --> 0.645097375 sigma out 1act.( 2.45292926 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 49.7219963 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 29.7653618 sigma out 15 active outputs RANK 2 NODE 3 --> 16.2497635 sigma out 15 active outputs RANK 3 NODE 9 --> 16.0879059 sigma out 15 active outputs RANK 4 NODE 7 --> 16.0344868 sigma out 15 active outputs RANK 5 NODE 4 --> 15.3050404 sigma out 15 active outputs RANK 6 NODE 6 --> 15.1971178 sigma out 15 active outputs RANK 7 NODE 2 --> 13.7190275 sigma out 15 active outputs RANK 8 NODE 1 --> 13.6775398 sigma out 15 active outputs RANK 9 NODE 5 --> 13.5734091 sigma out 15 active outputs RANK 10 NODE 11 --> 11.5540209 sigma out 15 active outputs RANK 11 NODE 10 --> 9.29235363 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 24.9387474 sigma in 11act. ( 24.2294502 sig out 1act.) RANK 2 NODE 1 --> 21.1926842 sigma in 11act. ( 22.5030746 sig out 1act.) RANK 3 NODE 11 --> 17.1773109 sigma in 11act. ( 15.7191963 sig out 1act.) RANK 4 NODE 5 --> 15.6927137 sigma in 11act. ( 15.6851673 sig out 1act.) RANK 5 NODE 9 --> 15.6420336 sigma in 11act. ( 13.7280006 sig out 1act.) RANK 6 NODE 3 --> 14.0770931 sigma in 11act. ( 7.27895594 sig out 1act.) RANK 7 NODE 4 --> 12.4839821 sigma in 11act. ( 10.2079954 sig out 1act.) RANK 8 NODE 12 --> 12.4827948 sigma in 11act. ( 6.97514486 sig out 1act.) RANK 9 NODE 8 --> 11.0000954 sigma in 11act. ( 10.3347845 sig out 1act.) RANK 10 NODE 13 --> 10.2054911 sigma in 11act. ( 6.97612143 sig out 1act.) RANK 11 NODE 10 --> 10.0167732 sigma in 11act. ( 5.70020485 sig out 1act.) RANK 12 NODE 7 --> 8.9666481 sigma in 11act. ( 7.46659517 sig out 1act.) RANK 13 NODE 14 --> 7.76069307 sigma in 11act. ( 5.81143093 sig out 1act.) RANK 14 NODE 15 --> 6.41343069 sigma in 11act. ( 3.23969698 sig out 1act.) RANK 15 NODE 6 --> 6.03076458 sigma in 11act. ( 0.327653736 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 24.2294502 sigma out 1act.( 24.9387474 sig in 11act.) RANK 2 NODE 1 --> 22.5030746 sigma out 1act.( 21.1926842 sig in 11act.) RANK 3 NODE 11 --> 15.7191963 sigma out 1act.( 17.1773109 sig in 11act.) RANK 4 NODE 5 --> 15.6851673 sigma out 1act.( 15.6927137 sig in 11act.) RANK 5 NODE 9 --> 13.7280006 sigma out 1act.( 15.6420336 sig in 11act.) RANK 6 NODE 8 --> 10.3347845 sigma out 1act.( 11.0000954 sig in 11act.) RANK 7 NODE 4 --> 10.2079954 sigma out 1act.( 12.4839821 sig in 11act.) RANK 8 NODE 7 --> 7.46659517 sigma out 1act.( 8.9666481 sig in 11act.) RANK 9 NODE 3 --> 7.27895594 sigma out 1act.( 14.0770931 sig in 11act.) RANK 10 NODE 13 --> 6.97612143 sigma out 1act.( 10.2054911 sig in 11act.) RANK 11 NODE 12 --> 6.97514486 sigma out 1act.( 12.4827948 sig in 11act.) RANK 12 NODE 14 --> 5.81143093 sigma out 1act.( 7.76069307 sig in 11act.) RANK 13 NODE 10 --> 5.70020485 sigma out 1act.( 10.0167732 sig in 11act.) RANK 14 NODE 15 --> 3.23969698 sigma out 1act.( 6.41343069 sig in 11act.) RANK 15 NODE 6 --> 0.327653736 sigma out 1act.( 6.03076458 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 47.6336098 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.477130771 *** contribution from regularisation: 0.00519433897 *** contribution from error: -0.482325107 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.528008759 *** contribution from regularisation: 0.00239802478 *** contribution from error: -0.530406773 *********************************************** -----------------> Test sample ENTER BFGS code START -48741.7967 -0.239931181 -0.580798447 EXIT FROM BFGS code FG_START 0. -0.239931181 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.543781161 *** contribution from regularisation: 0.00241839187 *** contribution from error: -0.54619956 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -50188.2849 -0.239931181 -202.133957 EXIT FROM BFGS code FG_LNSRCH 0. -0.287701845 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.565390944 *** contribution from regularisation: 0.00319804181 *** contribution from error: -0.568588972 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52182.7561 -0.287701845 -135.313568 EXIT FROM BFGS code NEW_X -52182.7561 -0.287701845 -135.313568 ENTER BFGS code NEW_X -52182.7561 -0.287701845 -135.313568 EXIT FROM BFGS code FG_LNSRCH 0. -0.312329054 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.568186104 *** contribution from regularisation: 0.0030990073 *** contribution from error: -0.571285129 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52440.7388 -0.312329054 -52.5758781 EXIT FROM BFGS code NEW_X -52440.7388 -0.312329054 -52.5758781 ENTER BFGS code NEW_X -52440.7388 -0.312329054 -52.5758781 EXIT FROM BFGS code FG_LNSRCH 0. -0.332101762 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.56937325 *** contribution from regularisation: 0.00305199181 *** contribution from error: -0.572425246 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52550.3046 -0.332101762 11.5256062 EXIT FROM BFGS code NEW_X -52550.3046 -0.332101762 11.5256062 ENTER BFGS code NEW_X -52550.3046 -0.332101762 11.5256062 EXIT FROM BFGS code FG_LNSRCH 0. -0.336305469 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.569975853 *** contribution from regularisation: 0.00298990728 *** contribution from error: -0.572965741 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52605.9215 -0.336305469 49.1215973 EXIT FROM BFGS code NEW_X -52605.9215 -0.336305469 49.1215973 ENTER BFGS code NEW_X -52605.9215 -0.336305469 49.1215973 EXIT FROM BFGS code FG_LNSRCH 0. -0.32174179 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.570484877 *** contribution from regularisation: 0.00306601566 *** contribution from error: -0.57355088 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52652.9025 -0.32174179 49.4209061 EXIT FROM BFGS code NEW_X -52652.9025 -0.32174179 49.4209061 ENTER BFGS code NEW_X -52652.9025 -0.32174179 49.4209061 EXIT FROM BFGS code FG_LNSRCH 0. -0.271679997 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.571926594 *** contribution from regularisation: 0.0030166686 *** contribution from error: -0.574943244 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52785.9626 -0.271679997 44.9620781 EXIT FROM BFGS code NEW_X -52785.9626 -0.271679997 44.9620781 ENTER BFGS code NEW_X -52785.9626 -0.271679997 44.9620781 EXIT FROM BFGS code FG_LNSRCH 0. -0.177928671 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 38.0302582 sigma out 15 active outputs RANK 2 NODE 1 --> 19.1408768 sigma out 15 active outputs RANK 3 NODE 9 --> 18.7921391 sigma out 15 active outputs RANK 4 NODE 2 --> 17.7115879 sigma out 15 active outputs RANK 5 NODE 10 --> 16.2056885 sigma out 15 active outputs RANK 6 NODE 4 --> 12.9299316 sigma out 15 active outputs RANK 7 NODE 11 --> 11.0783815 sigma out 15 active outputs RANK 8 NODE 7 --> 10.6431856 sigma out 15 active outputs RANK 9 NODE 6 --> 10.3948202 sigma out 15 active outputs RANK 10 NODE 3 --> 8.02212811 sigma out 15 active outputs RANK 11 NODE 5 --> 7.88833475 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 29.0324802 sigma in 11act. ( 23.714159 sig out 1act.) RANK 2 NODE 11 --> 21.7075348 sigma in 11act. ( 19.9390583 sig out 1act.) RANK 3 NODE 12 --> 21.578125 sigma in 11act. ( 16.03866 sig out 1act.) RANK 4 NODE 9 --> 18.9310436 sigma in 11act. ( 16.8312683 sig out 1act.) RANK 5 NODE 10 --> 18.3515835 sigma in 11act. ( 20.3726006 sig out 1act.) RANK 6 NODE 13 --> 14.7122087 sigma in 11act. ( 12.4719086 sig out 1act.) RANK 7 NODE 4 --> 12.734519 sigma in 11act. ( 11.5606842 sig out 1act.) RANK 8 NODE 14 --> 12.1236677 sigma in 11act. ( 10.5636101 sig out 1act.) RANK 9 NODE 2 --> 9.42594814 sigma in 11act. ( 7.11463642 sig out 1act.) RANK 10 NODE 5 --> 8.82493687 sigma in 11act. ( 6.78934479 sig out 1act.) RANK 11 NODE 1 --> 8.82461834 sigma in 11act. ( 8.03594589 sig out 1act.) RANK 12 NODE 15 --> 8.82325077 sigma in 11act. ( 8.41690445 sig out 1act.) RANK 13 NODE 8 --> 5.1824894 sigma in 11act. ( 3.28854442 sig out 1act.) RANK 14 NODE 7 --> 4.13183689 sigma in 11act. ( 2.43707156 sig out 1act.) RANK 15 NODE 6 --> 3.61961341 sigma in 11act. ( 1.37756717 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 23.714159 sigma out 1act.( 29.0324802 sig in 11act.) RANK 2 NODE 10 --> 20.3726006 sigma out 1act.( 18.3515835 sig in 11act.) RANK 3 NODE 11 --> 19.9390583 sigma out 1act.( 21.7075348 sig in 11act.) RANK 4 NODE 9 --> 16.8312683 sigma out 1act.( 18.9310436 sig in 11act.) RANK 5 NODE 12 --> 16.03866 sigma out 1act.( 21.578125 sig in 11act.) RANK 6 NODE 13 --> 12.4719086 sigma out 1act.( 14.7122087 sig in 11act.) RANK 7 NODE 4 --> 11.5606842 sigma out 1act.( 12.734519 sig in 11act.) RANK 8 NODE 14 --> 10.5636101 sigma out 1act.( 12.1236677 sig in 11act.) RANK 9 NODE 15 --> 8.41690445 sigma out 1act.( 8.82325077 sig in 11act.) RANK 10 NODE 1 --> 8.03594589 sigma out 1act.( 8.82461834 sig in 11act.) RANK 11 NODE 2 --> 7.11463642 sigma out 1act.( 9.42594814 sig in 11act.) RANK 12 NODE 5 --> 6.78934479 sigma out 1act.( 8.82493687 sig in 11act.) RANK 13 NODE 8 --> 3.28854442 sigma out 1act.( 5.1824894 sig in 11act.) RANK 14 NODE 7 --> 2.43707156 sigma out 1act.( 4.13183689 sig in 11act.) RANK 15 NODE 6 --> 1.37756717 sigma out 1act.( 3.61961341 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 50.6662979 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.57219553 *** contribution from regularisation: 0.0030553781 *** contribution from error: -0.575250924 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -52810.7886 -0.177928671 -43.2378731 EXIT FROM BFGS code NEW_X -52810.7886 -0.177928671 -43.2378731 ENTER BFGS code NEW_X -52810.7886 -0.177928671 -43.2378731 EXIT FROM BFGS code FG_LNSRCH 0. -0.187193573 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.573347509 *** contribution from regularisation: 0.00296119577 *** contribution from error: -0.576308727 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52917.1076 -0.187193573 0.34796524 EXIT FROM BFGS code NEW_X -52917.1076 -0.187193573 0.34796524 ENTER BFGS code NEW_X -52917.1076 -0.187193573 0.34796524 EXIT FROM BFGS code FG_LNSRCH 0. -0.185649395 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.57348907 *** contribution from regularisation: 0.00295135309 *** contribution from error: -0.576440394 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52930.1762 -0.185649395 6.56099606 EXIT FROM BFGS code NEW_X -52930.1762 -0.185649395 6.56099606 ENTER BFGS code NEW_X -52930.1762 -0.185649395 6.56099606 EXIT FROM BFGS code FG_LNSRCH 0. -0.170985878 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.573870301 *** contribution from regularisation: 0.00286053284 *** contribution from error: -0.576730847 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52965.3592 -0.170985878 16.1218815 EXIT FROM BFGS code NEW_X -52965.3592 -0.170985878 16.1218815 ENTER BFGS code NEW_X -52965.3592 -0.170985878 16.1218815 EXIT FROM BFGS code FG_LNSRCH 0. -0.142159611 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.574211657 *** contribution from regularisation: 0.00287760701 *** contribution from error: -0.57708925 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52996.8628 -0.142159611 21.4016037 EXIT FROM BFGS code NEW_X -52996.8628 -0.142159611 21.4016037 ENTER BFGS code NEW_X -52996.8628 -0.142159611 21.4016037 EXIT FROM BFGS code FG_LNSRCH 0. -0.0982625782 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.57429558 *** contribution from regularisation: 0.00289673009 *** contribution from error: -0.577192307 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53004.6133 -0.0982625782 -22.2482662 EXIT FROM BFGS code NEW_X -53004.6133 -0.0982625782 -22.2482662 ENTER BFGS code NEW_X -53004.6133 -0.0982625782 -22.2482662 EXIT FROM BFGS code FG_LNSRCH 0. -0.106697731 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.574526191 *** contribution from regularisation: 0.00307276449 *** contribution from error: -0.577598929 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53025.8974 -0.106697731 4.49368763 EXIT FROM BFGS code NEW_X -53025.8974 -0.106697731 4.49368763 ENTER BFGS code NEW_X -53025.8974 -0.106697731 4.49368763 EXIT FROM BFGS code FG_LNSRCH 0. -0.11345841 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.574661374 *** contribution from regularisation: 0.00305152568 *** contribution from error: -0.577712893 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53038.3726 -0.11345841 -3.01587915 EXIT FROM BFGS code NEW_X -53038.3726 -0.11345841 -3.01587915 ENTER BFGS code NEW_X -53038.3726 -0.11345841 -3.01587915 EXIT FROM BFGS code FG_LNSRCH 0. -0.110223979 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.57489717 *** contribution from regularisation: 0.00295873336 *** contribution from error: -0.577855885 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53060.1323 -0.110223979 1.79615545 EXIT FROM BFGS code NEW_X -53060.1323 -0.110223979 1.79615545 ENTER BFGS code NEW_X -53060.1323 -0.110223979 1.79615545 EXIT FROM BFGS code FG_LNSRCH 0. -0.0882742554 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.574513495 *** contribution from regularisation: 0.00272674463 *** contribution from error: -0.577240229 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53024.7209 -0.0882742554 -2.01838875 EXIT FROM BFGS code FG_LNSRCH 0. -0.101619855 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 47.1451263 sigma out 15 active outputs RANK 2 NODE 2 --> 30.4590321 sigma out 15 active outputs RANK 3 NODE 1 --> 22.9982185 sigma out 15 active outputs RANK 4 NODE 4 --> 21.9507179 sigma out 15 active outputs RANK 5 NODE 9 --> 20.2055073 sigma out 15 active outputs RANK 6 NODE 6 --> 15.6040421 sigma out 15 active outputs RANK 7 NODE 10 --> 15.419816 sigma out 15 active outputs RANK 8 NODE 11 --> 15.3028374 sigma out 15 active outputs RANK 9 NODE 5 --> 12.6418152 sigma out 15 active outputs RANK 10 NODE 7 --> 12.0259428 sigma out 15 active outputs RANK 11 NODE 3 --> 10.3024035 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 46.5271797 sigma in 11act. ( 38.1332741 sig out 1act.) RANK 2 NODE 11 --> 31.1929474 sigma in 11act. ( 29.0951614 sig out 1act.) RANK 3 NODE 10 --> 21.9861946 sigma in 11act. ( 23.9085846 sig out 1act.) RANK 4 NODE 12 --> 21.2912827 sigma in 11act. ( 15.1630192 sig out 1act.) RANK 5 NODE 4 --> 19.2410069 sigma in 11act. ( 17.8487778 sig out 1act.) RANK 6 NODE 13 --> 18.7150383 sigma in 11act. ( 15.2101116 sig out 1act.) RANK 7 NODE 9 --> 16.4357681 sigma in 11act. ( 13.5034962 sig out 1act.) RANK 8 NODE 15 --> 12.2477703 sigma in 11act. ( 12.2907562 sig out 1act.) RANK 9 NODE 2 --> 11.9098816 sigma in 11act. ( 9.88183498 sig out 1act.) RANK 10 NODE 1 --> 11.6950655 sigma in 11act. ( 11.7655191 sig out 1act.) RANK 11 NODE 8 --> 7.76983118 sigma in 11act. ( 6.63976192 sig out 1act.) RANK 12 NODE 14 --> 7.67420149 sigma in 11act. ( 5.18213511 sig out 1act.) RANK 13 NODE 5 --> 6.97910023 sigma in 11act. ( 3.8968842 sig out 1act.) RANK 14 NODE 6 --> 4.45844126 sigma in 11act. ( 3.46018243 sig out 1act.) RANK 15 NODE 7 --> 3.72456884 sigma in 11act. ( 1.62337899 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 38.1332741 sigma out 1act.( 46.5271797 sig in 11act.) RANK 2 NODE 11 --> 29.0951614 sigma out 1act.( 31.1929474 sig in 11act.) RANK 3 NODE 10 --> 23.9085846 sigma out 1act.( 21.9861946 sig in 11act.) RANK 4 NODE 4 --> 17.8487778 sigma out 1act.( 19.2410069 sig in 11act.) RANK 5 NODE 13 --> 15.2101116 sigma out 1act.( 18.7150383 sig in 11act.) RANK 6 NODE 12 --> 15.1630192 sigma out 1act.( 21.2912827 sig in 11act.) RANK 7 NODE 9 --> 13.5034962 sigma out 1act.( 16.4357681 sig in 11act.) RANK 8 NODE 15 --> 12.2907562 sigma out 1act.( 12.2477703 sig in 11act.) RANK 9 NODE 1 --> 11.7655191 sigma out 1act.( 11.6950655 sig in 11act.) RANK 10 NODE 2 --> 9.88183498 sigma out 1act.( 11.9098816 sig in 11act.) RANK 11 NODE 8 --> 6.63976192 sigma out 1act.( 7.76983118 sig in 11act.) RANK 12 NODE 14 --> 5.18213511 sigma out 1act.( 7.67420149 sig in 11act.) RANK 13 NODE 5 --> 3.8968842 sigma out 1act.( 6.97910023 sig in 11act.) RANK 14 NODE 6 --> 3.46018243 sigma out 1act.( 4.45844126 sig in 11act.) RANK 15 NODE 7 --> 1.62337899 sigma out 1act.( 3.72456884 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 65.7446518 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.574436486 *** contribution from regularisation: 0.00361201656 *** contribution from error: -0.578048527 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -53017.6146 -0.101619855 1.97747707 EXIT FROM BFGS code FG_LNSRCH 0. -0.109305657 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.574614823 *** contribution from regularisation: 0.00327512715 *** contribution from error: -0.577889979 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53034.0773 -0.109305657 1.69517529 EXIT FROM BFGS code FG_LNSRCH 0. -0.110198885 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.574759305 *** contribution from regularisation: 0.00309759681 *** contribution from error: -0.577856898 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53047.408 -0.110198885 1.66351318 EXIT FROM BFGS code FG_LNSRCH 0. -0.110223934 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.574732423 *** contribution from regularisation: 0.00312346569 *** contribution from error: -0.577855885 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53044.9284 -0.110223934 1.63177824 EXIT FROM BFGS code FG_LNSRCH 0. -0.110223979 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.574769676 *** contribution from regularisation: 0.0030862228 *** contribution from error: -0.577855885 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53048.3656 -0.110223979 1.58908975 EXIT FROM BFGS code FG_LNSRCH 0. -0.110223979 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.574777484 *** contribution from regularisation: 0.00307842134 *** contribution from error: -0.577855885 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53049.0857 -0.110223979 1.59601212 EXIT FROM BFGS code FG_LNSRCH 0. -0.110223979 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.574750066 *** contribution from regularisation: 0.00310578709 *** contribution from error: -0.577855825 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53046.56 -0.110223979 1.59796596 EXIT FROM BFGS code NEW_X -53046.56 -0.110223979 1.59796596 ENTER BFGS code NEW_X -53046.56 -0.110223979 1.59796596 EXIT FROM BFGS code CONVERGENC -53046.56 -0.110223979 1.59796596 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 68.0699844 sigma out 15 active outputs RANK 2 NODE 2 --> 42.4979248 sigma out 15 active outputs RANK 3 NODE 1 --> 35.2320862 sigma out 15 active outputs RANK 4 NODE 4 --> 30.5951519 sigma out 15 active outputs RANK 5 NODE 9 --> 30.1877918 sigma out 15 active outputs RANK 6 NODE 10 --> 24.6997089 sigma out 15 active outputs RANK 7 NODE 11 --> 21.1354446 sigma out 15 active outputs RANK 8 NODE 6 --> 21.0356941 sigma out 15 active outputs RANK 9 NODE 7 --> 17.8792839 sigma out 15 active outputs RANK 10 NODE 5 --> 16.4478645 sigma out 15 active outputs RANK 11 NODE 3 --> 13.9048796 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 66.0897293 sigma in 11act. ( 55.1931534 sig out 1act.) RANK 2 NODE 11 --> 44.9345284 sigma in 11act. ( 43.2634773 sig out 1act.) RANK 3 NODE 12 --> 33.11623 sigma in 11act. ( 25.3106403 sig out 1act.) RANK 4 NODE 10 --> 31.9770031 sigma in 11act. ( 33.9771233 sig out 1act.) RANK 5 NODE 4 --> 27.5151577 sigma in 11act. ( 26.5052986 sig out 1act.) RANK 6 NODE 13 --> 25.8427811 sigma in 11act. ( 22.5970917 sig out 1act.) RANK 7 NODE 9 --> 25.601656 sigma in 11act. ( 22.8489456 sig out 1act.) RANK 8 NODE 15 --> 17.9699516 sigma in 11act. ( 17.8891392 sig out 1act.) RANK 9 NODE 2 --> 16.0412407 sigma in 11act. ( 14.6255817 sig out 1act.) RANK 10 NODE 1 --> 15.8973961 sigma in 11act. ( 17.4804039 sig out 1act.) RANK 11 NODE 14 --> 12.2927589 sigma in 11act. ( 9.06631279 sig out 1act.) RANK 12 NODE 8 --> 9.85995483 sigma in 11act. ( 9.55174541 sig out 1act.) RANK 13 NODE 5 --> 9.58063793 sigma in 11act. ( 7.39164066 sig out 1act.) RANK 14 NODE 6 --> 5.72017384 sigma in 11act. ( 5.02544928 sig out 1act.) RANK 15 NODE 7 --> 4.32773829 sigma in 11act. ( 3.15887952 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 55.1931534 sigma out 1act.( 66.0897293 sig in 11act.) RANK 2 NODE 11 --> 43.2634773 sigma out 1act.( 44.9345284 sig in 11act.) RANK 3 NODE 10 --> 33.9771233 sigma out 1act.( 31.9770031 sig in 11act.) RANK 4 NODE 4 --> 26.5052986 sigma out 1act.( 27.5151577 sig in 11act.) RANK 5 NODE 12 --> 25.3106403 sigma out 1act.( 33.11623 sig in 11act.) RANK 6 NODE 9 --> 22.8489456 sigma out 1act.( 25.601656 sig in 11act.) RANK 7 NODE 13 --> 22.5970917 sigma out 1act.( 25.8427811 sig in 11act.) RANK 8 NODE 15 --> 17.8891392 sigma out 1act.( 17.9699516 sig in 11act.) RANK 9 NODE 1 --> 17.4804039 sigma out 1act.( 15.8973961 sig in 11act.) RANK 10 NODE 2 --> 14.6255817 sigma out 1act.( 16.0412407 sig in 11act.) RANK 11 NODE 8 --> 9.55174541 sigma out 1act.( 9.85995483 sig in 11act.) RANK 12 NODE 14 --> 9.06631279 sigma out 1act.( 12.2927589 sig in 11act.) RANK 13 NODE 5 --> 7.39164066 sigma out 1act.( 9.58063793 sig in 11act.) RANK 14 NODE 6 --> 5.02544928 sigma out 1act.( 5.72017384 sig in 11act.) RANK 15 NODE 7 --> 3.15887952 sigma out 1act.( 4.32773829 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 97.7298203 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.57475543 *** contribution from regularisation: 0.00310046459 *** contribution from error: -0.577855885 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 27567 Closing output file done