NNInput NNInputs_170.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 189948 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 = 50148 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 50148 Chosen entries: 50148 Signal fraction: 1 Background fraction: 0.358712 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 50148 Entries to split: 50148 Test with : 25074 Train with : 25074 ********************************************* * 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= 50148 for Signal Prepared event 0 for Signal with 50148 events ====Entry 0 Variable Ht : 206.347 Variable LepAPt : 36.1308 Variable LepBPt : 29.2247 Variable MetSigLeptonsJets : 10.199 Variable MetSpec : 96.7965 Variable SumEtLeptonsJets : 102.892 Variable VSumJetLeptonsPt : 40.6877 Variable addEt : 168.81 Variable dPhiLepSumMet : 2.54625 Variable dPhiLeptons : 0.182576 Variable dRLeptons : 0.326 Variable lep1_E : 42.5211 Variable lep2_E : 30.6986 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2170 Ht = 206.347 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.1308 LepAPt = 36.1308 LepBEt = 29.225 LepBPt = 29.2247 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 103.455 MetDelPhi = 1.21007 MetSig = 7.81518 MetSigLeptonsJets = 10.199 MetSpec = 96.7965 Mjj = 0 MostCentralJetEta = -1.03827 MtllMet = 173.786 Njets = 1 SB = 0 SumEt = 175.236 SumEtJets = 0 SumEtLeptonsJets = 102.892 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 40.6877 addEt = 168.81 dPhiLepSumMet = 2.54625 dPhiLeptons = 0.182576 dRLeptons = 0.326 diltype = 47 dimass = 10.613 event = 34 jet1_Et = 37.5368 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 42.5211 lep2_E = 30.6986 rand = 0.999742 run = 175066 weight = 3.57526e-06 ===Show End Prepared event 10000 for Signal with 50148 events Prepared event 20000 for Signal with 50148 events Prepared event 30000 for Signal with 50148 events Prepared event 40000 for Signal with 50148 events Prepared event 50000 for Signal with 50148 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 = 0.290447 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 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 4411 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 189948 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 4411 negative weights. Signal fraction: 62.9601059 % ------------------------------ 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 63.4172363 65.5550842 67.2947617 68.4463806 69.5836792 70.6329956 71.4399872 72.3722992 73.3105774 74.0328369 74.6434479 75.3479156 75.8279572 76.5055084 77.064682 77.6946945 78.3327484 78.9732819 79.5124512 80.1813354 80.8950653 81.6485748 82.456337 83.2002258 84.0900574 85.0830841 86.2747879 87.4096832 88.6503372 90.0977936 91.7480621 93.3090744 95.2542114 96.8400726 98.5845718 100.262779 102.178375 103.954597 105.638199 107.267761 109.020752 110.741859 112.485718 114.223915 116.263527 117.92791 119.717636 121.283302 123.105957 124.926514 126.718681 128.349884 130.040848 131.873138 133.486481 135.101074 136.817734 138.518448 140.066833 141.708374 143.17218 144.627533 146.140717 147.640961 148.969513 150.549484 152.02594 153.469604 154.957306 156.351013 157.89505 159.342712 160.910278 162.587677 164.33934 166.26619 167.975403 170.179001 172.302124 174.507629 177.128662 179.714523 181.981613 184.766922 187.515533 190.549194 193.82547 197.480103 201.79129 206.022278 210.656342 215.480682 221.132507 228.245941 236.507568 246.743362 260.951111 281.229675 318.125427 843.047852 ------------------------------ Transdef: Tab for variable 3 20.0016136 20.4036064 20.6869202 21.0327797 21.3150215 21.5947266 21.8916893 22.1138535 22.3277893 22.5520535 22.7647972 23.0162563 23.2175236 23.4769783 23.6896935 23.9263916 24.1936378 24.4498062 24.6717186 24.9263115 25.1478806 25.3657875 25.5845013 25.7701416 25.9909706 26.2114773 26.4324417 26.681139 26.9036312 27.1472931 27.3951969 27.644146 27.8537617 28.1036816 28.3287659 28.5933838 28.8404884 29.1030331 29.3568325 29.6145668 29.8415203 30.1267281 30.4311771 30.7344475 31.047369 31.3806801 31.6739807 31.9674511 32.2420578 32.5676727 32.8743362 33.1787987 33.5318069 33.8235855 34.1454239 34.5461082 34.886631 35.2142868 35.5169525 35.8643112 36.2102203 36.5725021 36.9453697 37.290062 37.6546936 38.0203285 38.3661194 38.7236176 39.1318207 39.4048767 39.7877579 40.1804962 40.5555801 40.9568901 41.3485069 41.7426376 42.2121277 42.6440201 43.1397858 43.572113 44.0947914 44.6319008 45.1585274 45.7193909 46.3700676 46.9655228 47.6539841 48.2896347 49.0190048 49.7464752 50.6528206 51.4215622 52.4300003 53.4070625 54.6030121 56.0735931 57.9130936 60.5037689 64.188858 71.7137909 153.067764 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1363821 10.2756834 10.4014263 10.5156994 10.6517353 10.7887115 10.9149075 11.040926 11.2029638 11.3581543 11.4826918 11.6257668 11.7559242 11.9177971 12.071413 12.2606163 12.4070683 12.5782928 12.733984 12.882926 13.0581064 13.2477512 13.4526758 13.6408567 13.8141537 14.031806 14.2212057 14.4265728 14.651516 14.8522024 15.0919724 15.3394604 15.5421162 15.7295341 15.9520922 16.2485504 16.4797401 16.7567368 17.0196571 17.2911797 17.5891438 17.8760605 18.2150249 18.4941444 18.7635212 19.0257912 19.2873955 19.5955677 19.8852882 20.1826324 20.403326 20.6665535 20.9931087 21.301754 21.5838661 21.8738556 22.061636 22.3590889 22.6585884 22.9854965 23.3104019 23.6264172 23.9437294 24.2319145 24.5600204 24.8954582 25.2295628 25.5690308 25.8864746 26.2171478 26.5199013 26.8581657 27.1715565 27.5000458 27.7954521 28.0965691 28.4290237 28.7601643 29.1153374 29.4632568 29.8530693 30.2204971 30.5919189 30.9784203 31.3903999 31.827076 32.245636 32.760025 33.2286911 33.7373199 34.3216286 34.9038925 35.6198654 36.3048401 37.2222557 38.2419281 39.7900352 42.190361 46.2351532 72.0671005 ------------------------------ Transdef: Tab for variable 5 1.23494017 2.72912788 3.14326429 3.45212698 3.77158737 4.00058508 4.12549019 4.26067257 4.38994408 4.51775932 4.62501621 4.72100973 4.81484032 4.91170359 4.99800777 5.06638336 5.14045811 5.20987034 5.28099537 5.33875275 5.39257336 5.45596361 5.51169491 5.56504393 5.61409283 5.66170692 5.72076607 5.77660513 5.82527447 5.88250351 5.92675066 5.97642517 6.01838398 6.06270123 6.09920216 6.1372261 6.1830883 6.2211237 6.2720418 6.30382252 6.3491106 6.39217234 6.43995523 6.48767662 6.53325605 6.58520031 6.63857841 6.67800903 6.7265501 6.76864243 6.81729841 6.85873413 6.91274357 6.96350384 7.00642776 7.05985117 7.11744308 7.17485619 7.22751331 7.29182816 7.34606171 7.40696144 7.4625392 7.50878429 7.56976414 7.63855839 7.69945192 7.75996971 7.82031345 7.87825012 7.93772507 7.99308872 8.06004715 8.12163925 8.18990517 8.24909973 8.31425571 8.38019466 8.44751835 8.50863075 8.57413673 8.64397144 8.71226692 8.7786274 8.85282421 8.92291451 8.99420929 9.07931423 9.17049599 9.26540565 9.36652946 9.46749306 9.58691025 9.70857048 9.86856174 10.0507488 10.2786732 10.5530109 10.9969072 11.7262554 17.7251911 ------------------------------ Transdef: Tab for variable 6 15.004632 21.2261086 25.4209404 26.5353813 27.4051208 28.3940544 29.2138729 30.0191612 30.7216377 31.3907013 32.0664253 32.6636505 33.1965714 33.6748962 34.1595688 34.6411743 34.9616165 35.4830971 35.9233894 36.2767639 36.6324348 37.0039139 37.4073105 37.7716827 38.1820145 38.5959702 39.0087051 39.3855209 39.7086792 40.0717697 40.4137802 40.7605362 41.215126 41.6544609 42.1117477 42.5331154 43.0148048 43.4839325 43.9577141 44.4054337 45.0206833 45.6817932 46.3604355 46.9800568 47.6583328 48.4159927 49.1978531 49.9606247 50.7247543 51.5653763 52.3816528 53.1929321 54.047821 54.8538666 55.6843948 56.4199677 57.1850281 58.0806541 58.7573051 59.5723343 60.3921623 61.2406464 62.0474014 62.9192238 63.7825508 64.6470795 65.4554596 66.2705688 67.1240921 67.9767914 68.8272858 69.6086121 70.472023 71.3325806 72.0838776 72.8932648 73.7090759 74.4844208 75.3139343 76.114006 76.9791107 77.7790833 78.6123352 79.5171814 80.4023743 81.337822 82.3759079 83.4932556 84.7341156 86.0145493 87.4089813 89.0465088 91.0466766 93.3758392 95.8217697 98.8526535 102.645302 107.431915 114.610672 127.490059 236.562576 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.9081917 33.7846413 34.5203285 35.143055 35.615551 36.1317749 36.5465393 36.93853 37.3220215 37.6476784 37.9965439 38.2832527 38.636528 38.8992004 39.2021446 39.4840546 39.7484055 40.1114273 40.4503288 40.8012924 41.1237946 41.526474 41.885582 42.3346863 42.80793 43.3790283 44.0357132 44.6630783 45.4101334 46.1759796 47.1923599 48.202137 49.084671 50.2717667 51.3394928 52.4802399 53.4136887 54.4596252 55.5044212 56.4647141 57.5111694 58.3905182 59.3785324 60.3405418 61.1814194 62.0195732 62.8636398 63.7538834 64.6986084 65.5774612 66.4464264 67.3939743 68.2733459 69.2118149 70.0811462 70.9500961 71.77948 72.5884552 73.4209595 74.292984 75.1966553 76.2073669 76.9355774 77.8882141 78.6830292 79.6538239 80.6446686 81.7552795 82.8681259 84.1927109 85.7605591 87.1622086 88.7560959 90.3620605 91.9154053 93.5768738 95.1242371 96.8417053 98.6803284 100.605209 102.398491 104.420662 106.558868 108.493385 111.050186 113.389343 116.145401 119.453506 122.649704 125.981873 129.800415 134.287994 139.648438 145.420685 152.479065 161.301559 172.550262 188.091125 216.726974 527.566101 ------------------------------ Transdef: Tab for variable 8 3.05552721 25.1559181 29.7299805 31.4825859 32.3358803 33.0754662 33.6268616 34.0044022 34.4980927 34.9261627 35.2522278 35.6073341 36.0079918 36.3497925 36.6593895 36.9550018 37.2674522 37.5454254 37.8263168 38.0792885 38.3448639 38.6094971 38.873703 39.1709557 39.4212875 39.7343979 40.0697517 40.3975067 40.6678276 41.0126419 41.3902206 41.7713013 42.1837234 42.6108589 43.1389542 43.5972137 44.1066132 44.7134781 45.3285599 45.9739304 46.6553726 47.3408928 48.1230927 48.7592773 49.4115639 50.2082291 50.9435463 51.6817093 52.4204483 53.0619659 53.7903862 54.5489426 55.3167648 56.0221939 56.8082352 57.5736008 58.2625046 58.98806 59.7570801 60.5077667 61.1319427 61.8855858 62.6282463 63.3271675 64.0624619 64.8052521 65.454483 66.1448822 66.871048 67.5981293 68.3068848 69.0284119 69.7575531 70.494873 71.2316437 71.946106 72.732605 73.4510498 74.1760941 74.9042053 75.7317505 76.4522095 77.2475815 78.0548553 78.7992096 79.7834244 80.8103638 81.8285217 83.0723724 84.3448486 85.8609314 87.5517883 89.56353 91.9716797 94.6506195 97.9141846 101.968475 107.361465 115.195984 129.059311 313.20459 ------------------------------ Transdef: Tab for variable 9 48.7445374 62.7698669 64.8956146 66.5535278 67.8835449 68.8848648 69.7873688 70.6713867 71.4544678 72.2982941 73.1465759 73.8656769 74.3886414 75.0536194 75.5507812 76.1020279 76.6846771 77.1483307 77.7398682 78.3191833 78.8359528 79.4045563 79.8432007 80.5462265 81.0909729 81.7700882 82.4444122 83.1621704 83.7347794 84.6595612 85.4210358 86.3828964 87.2311554 88.3996124 89.3258896 90.6433792 92.0304108 93.1178741 94.7727356 96.1615601 97.6891327 99.0479584 100.668152 102.214127 103.654594 105.217941 106.511627 107.977493 109.474854 110.94046 112.508301 113.923241 115.40554 116.745079 118.135399 119.55986 120.591019 122.024887 123.431068 124.838104 126.189743 127.451019 128.79422 130.087204 131.531021 132.761597 134.119354 135.421585 136.685684 137.866028 139.110703 140.395432 141.537628 142.736206 143.86232 145.018463 146.16452 147.306641 148.343796 149.576096 150.75235 151.879868 153.02803 154.134766 155.236328 156.321548 157.513733 158.735413 160.033844 161.361633 162.800552 164.374664 166.105011 167.750992 169.789917 172.311035 175.341232 179.547394 186.743439 201.249588 419.459076 ------------------------------ Transdef: Tab for variable 10 0.00602381537 1.17426872 1.48987114 1.69778562 1.85181296 1.9633261 2.06002522 2.13709307 2.20555496 2.26198483 2.31152964 2.35924721 2.40330696 2.44230318 2.47608757 2.50918245 2.54202676 2.56761527 2.59109449 2.61387753 2.63581705 2.66029859 2.683393 2.70243073 2.72050714 2.73740983 2.75382137 2.77109098 2.78522778 2.80017209 2.81279516 2.82501984 2.83720541 2.84865475 2.85882473 2.86719251 2.87768078 2.88704658 2.89667892 2.90459275 2.91342306 2.91947436 2.92738676 2.93431759 2.94309306 2.94998169 2.95662642 2.96350765 2.96914816 2.97559094 2.98107338 2.98704481 2.99135947 2.99619722 3.00108337 3.00575352 3.01090765 3.01483607 3.01924348 3.02315092 3.02765298 3.03111601 3.03495741 3.03881168 3.0430181 3.04647779 3.05051136 3.05441999 3.05784535 3.06103611 3.06431627 3.06765032 3.07110214 3.07359862 3.0764389 3.07901096 3.08212137 3.08490872 3.08782291 3.09055567 3.09340811 3.09579706 3.09825134 3.10099363 3.10344315 3.10553026 3.10842228 3.1111517 3.1138258 3.11575437 3.11796522 3.12037921 3.12293339 3.1254034 3.12792087 3.13033605 3.13204527 3.1341815 3.13674521 3.13936806 3.14159131 ------------------------------ Transdef: Tab for variable 11 4.88758087E-06 0.00551688718 0.0112428106 0.0178975128 0.0239886045 0.0297300294 0.0367010906 0.0442159176 0.0504148006 0.058684431 0.0660367012 0.0740952566 0.0810415745 0.0880756378 0.0956844091 0.102797166 0.109009027 0.115894765 0.123345532 0.130139112 0.137761265 0.144984961 0.152243555 0.158471823 0.164802969 0.17145884 0.177017331 0.183416843 0.189010188 0.194620416 0.199969023 0.204499483 0.209194928 0.213897347 0.219030499 0.22398746 0.228644967 0.233337998 0.237844825 0.242960125 0.247639418 0.252636552 0.257402301 0.26213038 0.266785294 0.271371484 0.276915282 0.28153336 0.286229134 0.291434884 0.296775043 0.301627398 0.3064816 0.311311841 0.316622257 0.322524786 0.327931881 0.333350897 0.338708848 0.34400779 0.349791408 0.355328441 0.359641671 0.364974737 0.370680451 0.376460105 0.382474363 0.38813436 0.394632578 0.39982605 0.40580821 0.41209805 0.418001175 0.425476253 0.43130821 0.438586831 0.446115255 0.452733308 0.460505188 0.468413532 0.475793928 0.482858241 0.493038416 0.503489137 0.511361599 0.520012259 0.530174136 0.540849447 0.552062273 0.565065145 0.578334808 0.593566656 0.607852101 0.626538098 0.645798981 0.666618824 0.691525459 0.721671581 0.771142423 0.831024766 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200030401 0.210636973 0.220062256 0.228167489 0.235934913 0.243235558 0.250350296 0.256917775 0.263786674 0.270415902 0.276461244 0.28249383 0.288267404 0.294092059 0.299813509 0.304994345 0.310130268 0.315284073 0.320369363 0.325790316 0.331139028 0.336295605 0.341301441 0.347166985 0.351676404 0.357174337 0.361874014 0.366984725 0.371687174 0.376222491 0.380883217 0.38596034 0.390987754 0.395800292 0.400526762 0.404179931 0.407875359 0.411417037 0.414658368 0.418502688 0.421955466 0.42557326 0.429241896 0.432864964 0.436754405 0.44029963 0.443964362 0.447470099 0.451502979 0.455534905 0.459528089 0.46380496 0.468084544 0.472051084 0.476246595 0.478962064 0.483031332 0.487126738 0.490865141 0.495543748 0.499713242 0.504915297 0.510142684 0.514578342 0.519941449 0.524442196 0.529827774 0.53564024 0.54166168 0.547718585 0.553682804 0.559589684 0.5653916 0.571227074 0.577950239 0.583039343 0.588657677 0.595157683 0.602694154 0.610588312 0.618017793 0.625891328 0.633818567 0.643399358 0.652520537 0.661571026 0.670339942 0.678608239 0.690754294 0.701899052 0.713219821 0.725462377 0.739474535 0.753837228 0.766044378 0.784429073 0.802740097 0.826861262 0.859176993 0.893789649 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.7057915 22.5569839 23.2977715 23.9009647 24.5927162 25.2354679 25.7733917 26.2314148 26.7948532 27.2480545 27.6889915 28.1127396 28.5344009 28.9297657 29.3210945 29.7072716 30.1300697 30.4596367 30.7889099 31.0667915 31.4783401 31.8497581 32.2073593 32.6005402 33.0020218 33.3582649 33.7195282 34.1296997 34.5079842 34.8629379 35.2493515 35.5504265 35.936348 36.2470627 36.5771599 36.9791031 37.402813 37.7561073 38.1244202 38.5202179 38.8675194 39.2964287 39.7372589 40.1497192 40.5276413 40.9573593 41.3589554 41.8378601 42.2669563 42.708786 43.0648499 43.4454269 43.838768 44.2488289 44.6791687 45.0745621 45.5209656 45.9994278 46.4354935 46.891777 47.3589592 47.7950745 48.2375946 48.7408066 49.2317429 49.7486038 50.247818 50.7630768 51.2277641 51.8106537 52.3451538 52.8985176 53.5386162 54.2293167 54.8581009 55.4297371 56.0862198 56.7737885 57.4760895 58.2979851 58.9583397 59.8914871 60.8044395 61.7592087 62.6524353 63.7589264 64.9884338 66.3175354 67.4356155 68.9791718 70.6646881 72.6780243 74.8532562 77.2549438 79.6668396 83.052002 87.602829 93.5997925 103.255081 216.87648 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7919235 11.2379456 11.5829859 12.0391531 12.418889 12.7578535 13.1167622 13.4571152 13.7600327 14.075407 14.4378414 14.7206259 15.0727291 15.4402733 15.7634544 16.0803909 16.4224529 16.7441673 17.0502052 17.4195786 17.7712784 18.0885677 18.4492378 18.7544327 19.031662 19.3247986 19.6864529 20.0113316 20.3894844 20.7434521 21.0533428 21.3546906 21.6731262 21.9346371 22.2491722 22.5807877 22.9161606 23.1966953 23.4942665 23.8340454 24.1682014 24.4845562 24.8054638 25.1156425 25.4288406 25.7538986 26.0530815 26.371315 26.7235909 27.0525169 27.3497276 27.6471863 27.8969383 28.176836 28.4672565 28.8175659 29.0994816 29.390686 29.7144279 30.0069122 30.28162 30.6299133 30.970089 31.2711029 31.5520821 31.8891048 32.2420044 32.595417 32.9301109 33.2684021 33.5278397 33.880661 34.2413254 34.6458092 35.0206261 35.4499588 35.8924332 36.3254318 36.750103 37.1945267 37.6517754 38.1815567 38.7199478 39.3289642 39.9209938 40.4690323 41.2246094 41.921711 42.7559509 43.5077057 44.305542 45.3564835 46.7079582 48.1076775 49.8681564 51.9943466 54.3376465 57.7230072 64.1254578 130.657516 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 68.3 54.1 57.6 35.4 53.3 65.5 58.7 67.3 -25.7 -20.2 -44.2 15.4 29.7 2 68.3 100.0 68.4 64.2 40.0 71.2 94.4 77.2 92.1 -43.5 -27.0 -53.8 31.5 37.8 3 54.1 68.4 100.0 53.0 15.0 38.6 71.6 57.2 74.1 -16.4 -29.2 -60.1 61.9 31.1 4 57.6 64.2 53.0 100.0 21.7 41.6 64.6 56.3 70.3 -11.6 -31.4 -66.0 23.8 72.2 5 35.4 40.0 15.0 21.7 100.0 84.9 13.2 60.3 60.1 21.9 -10.3 -17.9 -2.4 9.0 6 53.3 71.2 38.6 41.6 84.9 100.0 50.8 80.5 80.9 -8.1 -18.0 -34.7 11.3 22.1 7 65.5 94.4 71.6 64.6 13.2 50.8 100.0 69.0 81.1 -52.1 -26.0 -53.9 36.0 39.5 8 58.7 77.2 57.2 56.3 60.3 80.5 69.0 100.0 84.7 -11.3 -26.1 -48.4 25.5 34.1 9 67.3 92.1 74.1 70.3 60.1 80.9 81.1 84.7 100.0 -20.0 -29.9 -60.3 36.1 43.3 10 -25.7 -43.5 -16.4 -11.6 21.9 -8.1 -52.1 -11.3 -20.0 100.0 3.4 8.2 -5.1 -3.8 11 -20.2 -27.0 -29.2 -31.4 -10.3 -18.0 -26.0 -26.1 -29.9 3.4 100.0 52.9 -11.9 -20.7 12 -44.2 -53.8 -60.1 -66.0 -17.9 -34.7 -53.9 -48.4 -60.3 8.2 52.9 100.0 -29.3 -41.9 13 15.4 31.5 61.9 23.8 -2.4 11.3 36.0 25.5 36.1 -5.1 -11.9 -29.3 100.0 50.7 14 29.7 37.8 31.1 72.2 9.0 22.1 39.5 34.1 43.3 -3.8 -20.7 -41.9 50.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 177.214219 TOTAL CORRELATION OF ALL VARIABLES 75.4366028 ROUND 1: MAX CORR ( 75.4364159) AFTER KILLING INPUT VARIABLE 14 CONTR 0.167935571 ROUND 2: MAX CORR ( 75.4361148) AFTER KILLING INPUT VARIABLE 8 CONTR 0.213133804 ROUND 3: MAX CORR ( 75.4340033) AFTER KILLING INPUT VARIABLE 6 CONTR 0.564415185 ROUND 4: MAX CORR ( 75.4164848) AFTER KILLING INPUT VARIABLE 2 CONTR 1.62563071 ROUND 5: MAX CORR ( 75.3969933) AFTER KILLING INPUT VARIABLE 12 CONTR 1.71451952 ROUND 6: MAX CORR ( 75.3441436) AFTER KILLING INPUT VARIABLE 11 CONTR 2.8225215 ROUND 7: MAX CORR ( 75.075223) AFTER KILLING INPUT VARIABLE 10 CONTR 6.36009925 ROUND 8: MAX CORR ( 74.0974298) AFTER KILLING INPUT VARIABLE 13 CONTR 12.0772514 ROUND 9: MAX CORR ( 72.8301701) AFTER KILLING INPUT VARIABLE 9 CONTR 13.6453445 ROUND 10: MAX CORR ( 72.5452086) AFTER KILLING INPUT VARIABLE 3 CONTR 6.43633405 ROUND 11: MAX CORR ( 70.8600955) AFTER KILLING INPUT VARIABLE 4 CONTR 15.545229 ROUND 12: MAX CORR ( 65.5104624) AFTER KILLING INPUT VARIABLE 5 CONTR 27.0098585 LAST REMAINING VARIABLE: 7 total correlation to target: 75.4366028 % total significance: 150.918001 sigma correlations of single variables to target: variable 2: 68.2814213 % , in sigma: 136.603389 variable 3: 54.1017948 % , in sigma: 108.235716 variable 4: 57.6304073 % , in sigma: 115.295037 variable 5: 35.4006338 % , in sigma: 70.8222892 variable 6: 53.3084667 % , in sigma: 106.648589 variable 7: 65.5104624 % , in sigma: 131.059826 variable 8: 58.7407181 % , in sigma: 117.516317 variable 9: 67.2507665 % , in sigma: 134.541468 variable 10: -25.6629708 % , in sigma: 51.3411807 variable 11: -20.1664713 % , in sigma: 40.3449178 variable 12: -44.1529603 % , in sigma: 88.3321395 variable 13: 15.3576247 % , in sigma: 30.724369 variable 14: 29.7302513 % , in sigma: 59.478157 variables sorted by significance: 1 most relevant variable 7 corr 65.5104599 , in sigma: 131.059821 2 most relevant variable 5 corr 27.0098591 , in sigma: 54.0357571 3 most relevant variable 4 corr 15.545229 , in sigma: 31.099689 4 most relevant variable 3 corr 6.43633413 , in sigma: 12.8764903 5 most relevant variable 9 corr 13.6453447 , in sigma: 27.2987923 6 most relevant variable 13 corr 12.0772514 , in sigma: 24.1616746 7 most relevant variable 10 corr 6.36009932 , in sigma: 12.7239754 8 most relevant variable 11 corr 2.82252145 , in sigma: 5.64671896 9 most relevant variable 12 corr 1.7145195 , in sigma: 3.43005711 10 most relevant variable 2 corr 1.62563074 , in sigma: 3.2522268 11 most relevant variable 6 corr 0.564415157 , in sigma: 1.12916547 12 most relevant variable 8 corr 0.213133797 , in sigma: 0.426394157 13 most relevant variable 14 corr 0.167935565 , in sigma: 0.335970853 global correlations between input variables: variable 2: 99.1153807 % variable 3: 92.6781054 % variable 4: 92.2801637 % variable 5: 95.2277441 % variable 6: 95.0652282 % variable 7: 98.7174337 % variable 8: 90.4483905 % variable 9: 98.6896036 % variable 10: 71.8215337 % variable 11: 53.9736661 % variable 12: 78.4733287 % variable 13: 84.4570504 % variable 14: 87.970513 % significance loss when removing single variables: variable 2: corr = 1.45113326 % , sigma = 2.90312823 variable 3: corr = 16.0530983 % , sigma = 32.1157293 variable 4: corr = 13.5168457 % , sigma = 27.041718 variable 5: corr = 16.5483194 % , sigma = 33.1064655 variable 6: corr = 0.444990571 % , sigma = 0.890245386 variable 7: corr = 8.62828417 % , sigma = 17.261692 variable 8: corr = 0.211877997 % , sigma = 0.423881811 variable 9: corr = 10.9044001 % , sigma = 21.8152755 variable 10: corr = 5.81612587 % , sigma = 11.6357055 variable 11: corr = 1.85972771 % , sigma = 3.72055976 variable 12: corr = 1.69722025 % , sigma = 3.39544834 variable 13: corr = 8.30144795 % , sigma = 16.6078255 variable 14: corr = 0.167935571 % , sigma = 0.335970866 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 22.9368896 sigma out 15 active outputs RANK 2 NODE 7 --> 20.4326572 sigma out 15 active outputs RANK 3 NODE 4 --> 19.8963547 sigma out 15 active outputs RANK 4 NODE 8 --> 17.0812073 sigma out 15 active outputs RANK 5 NODE 6 --> 16.4118671 sigma out 15 active outputs RANK 6 NODE 1 --> 15.9784298 sigma out 15 active outputs RANK 7 NODE 2 --> 15.361516 sigma out 15 active outputs RANK 8 NODE 3 --> 12.5047064 sigma out 15 active outputs RANK 9 NODE 5 --> 11.2359495 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 23.1687794 sigma in 9act. ( 25.2210484 sig out 1act.) RANK 2 NODE 8 --> 22.9502831 sigma in 9act. ( 26.0140972 sig out 1act.) RANK 3 NODE 12 --> 18.2147903 sigma in 9act. ( 22.9343491 sig out 1act.) RANK 4 NODE 5 --> 15.8248224 sigma in 9act. ( 15.9926405 sig out 1act.) RANK 5 NODE 7 --> 15.2012577 sigma in 9act. ( 14.6687546 sig out 1act.) RANK 6 NODE 6 --> 15.0828333 sigma in 9act. ( 13.0702591 sig out 1act.) RANK 7 NODE 3 --> 14.3454962 sigma in 9act. ( 12.3822651 sig out 1act.) RANK 8 NODE 15 --> 11.6898918 sigma in 9act. ( 14.6592865 sig out 1act.) RANK 9 NODE 2 --> 8.7759552 sigma in 9act. ( 9.50814915 sig out 1act.) RANK 10 NODE 1 --> 8.69883728 sigma in 9act. ( 9.28821945 sig out 1act.) RANK 11 NODE 9 --> 6.89969969 sigma in 9act. ( 1.73562658 sig out 1act.) RANK 12 NODE 4 --> 3.96486878 sigma in 9act. ( 2.91751957 sig out 1act.) RANK 13 NODE 11 --> 2.81678176 sigma in 9act. ( 5.37906599 sig out 1act.) RANK 14 NODE 10 --> 1.62672305 sigma in 9act. ( 1.98202586 sig out 1act.) RANK 15 NODE 13 --> 1.0746752 sigma in 9act. ( 1.53453398 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 26.0140972 sigma out 1act.( 22.9502831 sig in 9act.) RANK 2 NODE 14 --> 25.2210484 sigma out 1act.( 23.1687794 sig in 9act.) RANK 3 NODE 12 --> 22.9343491 sigma out 1act.( 18.2147903 sig in 9act.) RANK 4 NODE 5 --> 15.9926405 sigma out 1act.( 15.8248224 sig in 9act.) RANK 5 NODE 7 --> 14.6687546 sigma out 1act.( 15.2012577 sig in 9act.) RANK 6 NODE 15 --> 14.6592865 sigma out 1act.( 11.6898918 sig in 9act.) RANK 7 NODE 6 --> 13.0702591 sigma out 1act.( 15.0828333 sig in 9act.) RANK 8 NODE 3 --> 12.3822651 sigma out 1act.( 14.3454962 sig in 9act.) RANK 9 NODE 2 --> 9.50814915 sigma out 1act.( 8.7759552 sig in 9act.) RANK 10 NODE 1 --> 9.28821945 sigma out 1act.( 8.69883728 sig in 9act.) RANK 11 NODE 11 --> 5.37906599 sigma out 1act.( 2.81678176 sig in 9act.) RANK 12 NODE 4 --> 2.91751957 sigma out 1act.( 3.96486878 sig in 9act.) RANK 13 NODE 10 --> 1.98202586 sigma out 1act.( 1.62672305 sig in 9act.) RANK 14 NODE 9 --> 1.73562658 sigma out 1act.( 6.89969969 sig in 9act.) RANK 15 NODE 13 --> 1.53453398 sigma out 1act.( 1.0746752 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 55.4276161 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 24.2899818 sigma out 15 active outputs RANK 2 NODE 2 --> 22.0389843 sigma out 15 active outputs RANK 3 NODE 7 --> 21.0825901 sigma out 15 active outputs RANK 4 NODE 4 --> 20.1126957 sigma out 15 active outputs RANK 5 NODE 8 --> 17.8290138 sigma out 15 active outputs RANK 6 NODE 1 --> 17.1086407 sigma out 15 active outputs RANK 7 NODE 6 --> 16.9917202 sigma out 15 active outputs RANK 8 NODE 3 --> 13.8432808 sigma out 15 active outputs RANK 9 NODE 5 --> 11.9027748 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 23.813282 sigma in 9act. ( 25.333046 sig out 1act.) RANK 2 NODE 14 --> 23.3913975 sigma in 9act. ( 23.3278313 sig out 1act.) RANK 3 NODE 12 --> 22.2701492 sigma in 9act. ( 22.7884483 sig out 1act.) RANK 4 NODE 15 --> 16.53372 sigma in 9act. ( 14.5202484 sig out 1act.) RANK 5 NODE 5 --> 15.6930294 sigma in 9act. ( 15.7368956 sig out 1act.) RANK 6 NODE 7 --> 14.2350397 sigma in 9act. ( 13.5526123 sig out 1act.) RANK 7 NODE 6 --> 12.5663481 sigma in 9act. ( 11.7632771 sig out 1act.) RANK 8 NODE 3 --> 12.0804539 sigma in 9act. ( 10.8659077 sig out 1act.) RANK 9 NODE 11 --> 10.5420771 sigma in 9act. ( 6.29712152 sig out 1act.) RANK 10 NODE 2 --> 10.2663202 sigma in 9act. ( 9.18435001 sig out 1act.) RANK 11 NODE 1 --> 9.97389126 sigma in 9act. ( 8.97367859 sig out 1act.) RANK 12 NODE 13 --> 8.59068871 sigma in 9act. ( 3.38034296 sig out 1act.) RANK 13 NODE 10 --> 8.12692833 sigma in 9act. ( 2.92404366 sig out 1act.) RANK 14 NODE 4 --> 5.96852779 sigma in 9act. ( 2.66510797 sig out 1act.) RANK 15 NODE 9 --> 5.43448639 sigma in 9act. ( 0.84482342 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 25.333046 sigma out 1act.( 23.813282 sig in 9act.) RANK 2 NODE 14 --> 23.3278313 sigma out 1act.( 23.3913975 sig in 9act.) RANK 3 NODE 12 --> 22.7884483 sigma out 1act.( 22.2701492 sig in 9act.) RANK 4 NODE 5 --> 15.7368956 sigma out 1act.( 15.6930294 sig in 9act.) RANK 5 NODE 15 --> 14.5202484 sigma out 1act.( 16.53372 sig in 9act.) RANK 6 NODE 7 --> 13.5526123 sigma out 1act.( 14.2350397 sig in 9act.) RANK 7 NODE 6 --> 11.7632771 sigma out 1act.( 12.5663481 sig in 9act.) RANK 8 NODE 3 --> 10.8659077 sigma out 1act.( 12.0804539 sig in 9act.) RANK 9 NODE 2 --> 9.18435001 sigma out 1act.( 10.2663202 sig in 9act.) RANK 10 NODE 1 --> 8.97367859 sigma out 1act.( 9.97389126 sig in 9act.) RANK 11 NODE 11 --> 6.29712152 sigma out 1act.( 10.5420771 sig in 9act.) RANK 12 NODE 13 --> 3.38034296 sigma out 1act.( 8.59068871 sig in 9act.) RANK 13 NODE 10 --> 2.92404366 sigma out 1act.( 8.12692833 sig in 9act.) RANK 14 NODE 4 --> 2.66510797 sigma out 1act.( 5.96852779 sig in 9act.) RANK 15 NODE 9 --> 0.84482342 sigma out 1act.( 5.43448639 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 53.2559319 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.429205 *** contribution from regularisation: 0.0034842398 *** contribution from error: -0.43268925 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.478934944 *** contribution from regularisation: 0.00208826014 *** contribution from error: -0.481023192 *********************************************** -----------------> Test sample ENTER BFGS code START -45495.8655 0.383066595 -0.750497937 EXIT FROM BFGS code FG_START 0. 0.383066595 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.510006547 *** contribution from regularisation: 0.00208468852 *** contribution from error: -0.512091219 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -48437.3608 0.383066595 -197.77356 EXIT FROM BFGS code FG_LNSRCH 0. 0.357883245 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.558933496 *** contribution from regularisation: 0.00281401118 *** contribution from error: -0.561747491 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53084.151 0.357883245 -156.348404 EXIT FROM BFGS code NEW_X -53084.151 0.357883245 -156.348404 ENTER BFGS code NEW_X -53084.151 0.357883245 -156.348404 EXIT FROM BFGS code FG_LNSRCH 0. 0.332244337 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.562167346 *** contribution from regularisation: 0.00292238593 *** contribution from error: -0.565089762 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53391.2792 0.332244337 -86.3867874 EXIT FROM BFGS code NEW_X -53391.2792 0.332244337 -86.3867874 ENTER BFGS code NEW_X -53391.2792 0.332244337 -86.3867874 EXIT FROM BFGS code FG_LNSRCH 0. 0.299255401 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.564810276 *** contribution from regularisation: 0.00283954013 *** contribution from error: -0.567649841 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53642.2887 0.299255401 -21.1620235 EXIT FROM BFGS code NEW_X -53642.2887 0.299255401 -21.1620235 ENTER BFGS code NEW_X -53642.2887 0.299255401 -21.1620235 EXIT FROM BFGS code FG_LNSRCH 0. 0.279248804 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.565612137 *** contribution from regularisation: 0.00271624723 *** contribution from error: -0.568328381 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53718.4468 0.279248804 -3.33459973 EXIT FROM BFGS code NEW_X -53718.4468 0.279248804 -3.33459973 ENTER BFGS code NEW_X -53718.4468 0.279248804 -3.33459973 EXIT FROM BFGS code FG_LNSRCH 0. 0.273271143 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.565811515 *** contribution from regularisation: 0.00266167661 *** contribution from error: -0.56847322 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53737.3812 0.273271143 13.2359991 EXIT FROM BFGS code NEW_X -53737.3812 0.273271143 13.2359991 ENTER BFGS code NEW_X -53737.3812 0.273271143 13.2359991 EXIT FROM BFGS code FG_LNSRCH 0. 0.272314936 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.565994084 *** contribution from regularisation: 0.00264487066 *** contribution from error: -0.56863898 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53754.7222 0.272314936 3.91690469 EXIT FROM BFGS code NEW_X -53754.7222 0.272314936 3.91690469 ENTER BFGS code NEW_X -53754.7222 0.272314936 3.91690469 EXIT FROM BFGS code FG_LNSRCH 0. 0.242036223 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 35.1323929 sigma out 15 active outputs RANK 2 NODE 1 --> 21.5149803 sigma out 15 active outputs RANK 3 NODE 8 --> 20.3192577 sigma out 15 active outputs RANK 4 NODE 9 --> 17.386467 sigma out 15 active outputs RANK 5 NODE 4 --> 16.7569675 sigma out 15 active outputs RANK 6 NODE 6 --> 14.6979733 sigma out 15 active outputs RANK 7 NODE 7 --> 12.5775738 sigma out 15 active outputs RANK 8 NODE 3 --> 12.0636053 sigma out 15 active outputs RANK 9 NODE 5 --> 9.97599792 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 23.1028519 sigma in 9act. ( 20.417038 sig out 1act.) RANK 2 NODE 12 --> 21.1931229 sigma in 9act. ( 18.1888466 sig out 1act.) RANK 3 NODE 8 --> 20.7079926 sigma in 9act. ( 20.7659512 sig out 1act.) RANK 4 NODE 10 --> 19.6411381 sigma in 9act. ( 15.3862152 sig out 1act.) RANK 5 NODE 15 --> 19.0202961 sigma in 9act. ( 13.8483896 sig out 1act.) RANK 6 NODE 11 --> 17.2856216 sigma in 9act. ( 15.9677372 sig out 1act.) RANK 7 NODE 14 --> 13.5888414 sigma in 9act. ( 12.6867075 sig out 1act.) RANK 8 NODE 1 --> 12.2649441 sigma in 9act. ( 10.4775877 sig out 1act.) RANK 9 NODE 5 --> 11.3770981 sigma in 9act. ( 10.341239 sig out 1act.) RANK 10 NODE 7 --> 10.3192577 sigma in 9act. ( 9.29561234 sig out 1act.) RANK 11 NODE 4 --> 10.028842 sigma in 9act. ( 8.20547295 sig out 1act.) RANK 12 NODE 2 --> 9.69057369 sigma in 9act. ( 9.60430622 sig out 1act.) RANK 13 NODE 3 --> 6.52434969 sigma in 9act. ( 4.58958149 sig out 1act.) RANK 14 NODE 9 --> 5.36351442 sigma in 9act. ( 3.97055507 sig out 1act.) RANK 15 NODE 6 --> 4.1873579 sigma in 9act. ( 2.19379616 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 20.7659512 sigma out 1act.( 20.7079926 sig in 9act.) RANK 2 NODE 13 --> 20.417038 sigma out 1act.( 23.1028519 sig in 9act.) RANK 3 NODE 12 --> 18.1888466 sigma out 1act.( 21.1931229 sig in 9act.) RANK 4 NODE 11 --> 15.9677372 sigma out 1act.( 17.2856216 sig in 9act.) RANK 5 NODE 10 --> 15.3862152 sigma out 1act.( 19.6411381 sig in 9act.) RANK 6 NODE 15 --> 13.8483896 sigma out 1act.( 19.0202961 sig in 9act.) RANK 7 NODE 14 --> 12.6867075 sigma out 1act.( 13.5888414 sig in 9act.) RANK 8 NODE 1 --> 10.4775877 sigma out 1act.( 12.2649441 sig in 9act.) RANK 9 NODE 5 --> 10.341239 sigma out 1act.( 11.3770981 sig in 9act.) RANK 10 NODE 2 --> 9.60430622 sigma out 1act.( 9.69057369 sig in 9act.) RANK 11 NODE 7 --> 9.29561234 sigma out 1act.( 10.3192577 sig in 9act.) RANK 12 NODE 4 --> 8.20547295 sigma out 1act.( 10.028842 sig in 9act.) RANK 13 NODE 3 --> 4.58958149 sigma out 1act.( 6.52434969 sig in 9act.) RANK 14 NODE 9 --> 3.97055507 sigma out 1act.( 5.36351442 sig in 9act.) RANK 15 NODE 6 --> 2.19379616 sigma out 1act.( 4.1873579 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 50.2761726 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.567048669 *** contribution from regularisation: 0.00237248512 *** contribution from error: -0.569421172 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -53854.8792 0.242036223 -14.1395493 EXIT FROM BFGS code NEW_X -53854.8792 0.242036223 -14.1395493 ENTER BFGS code NEW_X -53854.8792 0.242036223 -14.1395493 EXIT FROM BFGS code FG_LNSRCH 0. 0.207133666 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.567479372 *** contribution from regularisation: 0.00252365367 *** contribution from error: -0.570003033 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53895.7863 0.207133666 -21.9573517 EXIT FROM BFGS code NEW_X -53895.7863 0.207133666 -21.9573517 ENTER BFGS code NEW_X -53895.7863 0.207133666 -21.9573517 EXIT FROM BFGS code FG_LNSRCH 0. 0.184280396 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.567747772 *** contribution from regularisation: 0.0025949704 *** contribution from error: -0.57034272 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53921.2767 0.184280396 -47.7904778 EXIT FROM BFGS code NEW_X -53921.2767 0.184280396 -47.7904778 ENTER BFGS code NEW_X -53921.2767 0.184280396 -47.7904778 EXIT FROM BFGS code FG_LNSRCH 0. 0.180408299 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.568240821 *** contribution from regularisation: 0.00250007398 *** contribution from error: -0.570740879 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53968.1036 0.180408299 -2.86382413 EXIT FROM BFGS code NEW_X -53968.1036 0.180408299 -2.86382413 ENTER BFGS code NEW_X -53968.1036 0.180408299 -2.86382413 EXIT FROM BFGS code FG_LNSRCH 0. 0.178407088 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.568264425 *** contribution from regularisation: 0.00252709026 *** contribution from error: -0.570791543 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53970.3429 0.178407088 2.64676476 EXIT FROM BFGS code NEW_X -53970.3429 0.178407088 2.64676476 ENTER BFGS code NEW_X -53970.3429 0.178407088 2.64676476 EXIT FROM BFGS code FG_LNSRCH 0. 0.171506777 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.568402469 *** contribution from regularisation: 0.00253312662 *** contribution from error: -0.570935607 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53983.455 0.171506777 9.99751472 EXIT FROM BFGS code NEW_X -53983.455 0.171506777 9.99751472 ENTER BFGS code NEW_X -53983.455 0.171506777 9.99751472 EXIT FROM BFGS code FG_LNSRCH 0. 0.162510097 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.568575919 *** contribution from regularisation: 0.00254004612 *** contribution from error: -0.571115971 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53999.9268 0.162510097 12.8499937 EXIT FROM BFGS code NEW_X -53999.9268 0.162510097 12.8499937 ENTER BFGS code NEW_X -53999.9268 0.162510097 12.8499937 EXIT FROM BFGS code FG_LNSRCH 0. 0.135167897 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.568863273 *** contribution from regularisation: 0.00261801574 *** contribution from error: -0.571481287 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54027.219 0.135167897 -4.17392159 EXIT FROM BFGS code NEW_X -54027.219 0.135167897 -4.17392159 ENTER BFGS code NEW_X -54027.219 0.135167897 -4.17392159 EXIT FROM BFGS code FG_LNSRCH 0. 0.120955296 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.569098651 *** contribution from regularisation: 0.00264958525 *** contribution from error: -0.571748257 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54049.5726 0.120955296 -11.7967062 EXIT FROM BFGS code NEW_X -54049.5726 0.120955296 -11.7967062 ENTER BFGS code NEW_X -54049.5726 0.120955296 -11.7967062 EXIT FROM BFGS code FG_LNSRCH 0. 0.125087827 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.56925416 *** contribution from regularisation: 0.00255865906 *** contribution from error: -0.571812809 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54064.346 0.125087827 -1.77731574 EXIT FROM BFGS code NEW_X -54064.346 0.125087827 -1.77731574 ENTER BFGS code NEW_X -54064.346 0.125087827 -1.77731574 EXIT FROM BFGS code FG_LNSRCH 0. 0.122080103 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 46.2938728 sigma out 15 active outputs RANK 2 NODE 4 --> 32.6961784 sigma out 15 active outputs RANK 3 NODE 1 --> 27.5079861 sigma out 15 active outputs RANK 4 NODE 8 --> 25.7214165 sigma out 15 active outputs RANK 5 NODE 7 --> 22.127264 sigma out 15 active outputs RANK 6 NODE 6 --> 19.3216934 sigma out 15 active outputs RANK 7 NODE 9 --> 18.3883343 sigma out 15 active outputs RANK 8 NODE 3 --> 18.3823814 sigma out 15 active outputs RANK 9 NODE 5 --> 16.3191605 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 46.8897285 sigma in 9act. ( 44.914463 sig out 1act.) RANK 2 NODE 8 --> 32.1771317 sigma in 9act. ( 32.7367973 sig out 1act.) RANK 3 NODE 5 --> 27.1443691 sigma in 9act. ( 29.4305496 sig out 1act.) RANK 4 NODE 10 --> 22.7557678 sigma in 9act. ( 22.1970997 sig out 1act.) RANK 5 NODE 12 --> 22.601141 sigma in 9act. ( 24.6517735 sig out 1act.) RANK 6 NODE 15 --> 20.0044746 sigma in 9act. ( 17.1279907 sig out 1act.) RANK 7 NODE 11 --> 18.3655643 sigma in 9act. ( 20.7092819 sig out 1act.) RANK 8 NODE 14 --> 13.0284319 sigma in 9act. ( 12.3450651 sig out 1act.) RANK 9 NODE 7 --> 11.9388323 sigma in 9act. ( 11.7309971 sig out 1act.) RANK 10 NODE 2 --> 11.9227076 sigma in 9act. ( 11.6785746 sig out 1act.) RANK 11 NODE 4 --> 11.100708 sigma in 9act. ( 11.239254 sig out 1act.) RANK 12 NODE 1 --> 9.90751362 sigma in 9act. ( 8.61169052 sig out 1act.) RANK 13 NODE 3 --> 3.41329932 sigma in 9act. ( 2.32938123 sig out 1act.) RANK 14 NODE 9 --> 2.7702539 sigma in 9act. ( 2.08044362 sig out 1act.) RANK 15 NODE 6 --> 1.91514814 sigma in 9act. ( 0.872423232 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 44.914463 sigma out 1act.( 46.8897285 sig in 9act.) RANK 2 NODE 8 --> 32.7367973 sigma out 1act.( 32.1771317 sig in 9act.) RANK 3 NODE 5 --> 29.4305496 sigma out 1act.( 27.1443691 sig in 9act.) RANK 4 NODE 12 --> 24.6517735 sigma out 1act.( 22.601141 sig in 9act.) RANK 5 NODE 10 --> 22.1970997 sigma out 1act.( 22.7557678 sig in 9act.) RANK 6 NODE 11 --> 20.7092819 sigma out 1act.( 18.3655643 sig in 9act.) RANK 7 NODE 15 --> 17.1279907 sigma out 1act.( 20.0044746 sig in 9act.) RANK 8 NODE 14 --> 12.3450651 sigma out 1act.( 13.0284319 sig in 9act.) RANK 9 NODE 7 --> 11.7309971 sigma out 1act.( 11.9388323 sig in 9act.) RANK 10 NODE 2 --> 11.6785746 sigma out 1act.( 11.9227076 sig in 9act.) RANK 11 NODE 4 --> 11.239254 sigma out 1act.( 11.100708 sig in 9act.) RANK 12 NODE 1 --> 8.61169052 sigma out 1act.( 9.90751362 sig in 9act.) RANK 13 NODE 3 --> 2.32938123 sigma out 1act.( 3.41329932 sig in 9act.) RANK 14 NODE 9 --> 2.08044362 sigma out 1act.( 2.7702539 sig in 9act.) RANK 15 NODE 6 --> 0.872423232 sigma out 1act.( 1.91514814 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 80.0951385 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.56925267 *** contribution from regularisation: 0.00258982321 *** contribution from error: -0.571842492 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54064.2042 0.122080103 -1.07508099 EXIT FROM BFGS code FG_LNSRCH 0. 0.12433131 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.569203317 *** contribution from regularisation: 0.00261966209 *** contribution from error: -0.571823001 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54059.5145 0.12433131 -1.62659502 EXIT FROM BFGS code FG_LNSRCH 0. 0.125060201 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.569218576 *** contribution from regularisation: 0.00259444234 *** contribution from error: -0.571813047 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54060.9644 0.125060201 -1.85220981 EXIT FROM BFGS code FG_LNSRCH 0. 0.125087768 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.569203973 *** contribution from regularisation: 0.00260885805 *** contribution from error: -0.571812809 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54059.5784 0.125087768 -1.88526189 EXIT FROM BFGS code FG_LNSRCH 0. 0.125087827 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.569205582 *** contribution from regularisation: 0.00260726293 *** contribution from error: -0.571812868 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54059.7299 0.125087827 -1.89914668 EXIT FROM BFGS code FG_LNSRCH 0. 0.125087827 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.5692029 *** contribution from regularisation: 0.00260990974 *** contribution from error: -0.571812809 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54059.4786 0.125087827 -1.92246521 EXIT FROM BFGS code FG_LNSRCH 0. 0.125087827 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.569202065 *** contribution from regularisation: 0.00261079543 *** contribution from error: -0.571812868 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54059.3945 0.125087827 -1.91990769 EXIT FROM BFGS code NEW_X -54059.3945 0.125087827 -1.91990769 ENTER BFGS code NEW_X -54059.3945 0.125087827 -1.91990769 EXIT FROM BFGS code CONVERGENC -54059.3945 0.125087827 -1.91990769 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 69.3463821 sigma out 15 active outputs RANK 2 NODE 4 --> 48.7736778 sigma out 15 active outputs RANK 3 NODE 1 --> 41.5834045 sigma out 15 active outputs RANK 4 NODE 8 --> 40.4319878 sigma out 15 active outputs RANK 5 NODE 7 --> 32.7676735 sigma out 15 active outputs RANK 6 NODE 6 --> 28.4455433 sigma out 15 active outputs RANK 7 NODE 3 --> 28.1044331 sigma out 15 active outputs RANK 8 NODE 9 --> 26.8860378 sigma out 15 active outputs RANK 9 NODE 5 --> 25.143816 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 71.4451447 sigma in 9act. ( 67.1097488 sig out 1act.) RANK 2 NODE 8 --> 48.0338211 sigma in 9act. ( 49.0477524 sig out 1act.) RANK 3 NODE 5 --> 40.2656097 sigma in 9act. ( 44.3031158 sig out 1act.) RANK 4 NODE 12 --> 34.5868988 sigma in 9act. ( 37.1506844 sig out 1act.) RANK 5 NODE 10 --> 34.5272827 sigma in 9act. ( 34.0203094 sig out 1act.) RANK 6 NODE 15 --> 30.2268391 sigma in 9act. ( 25.710207 sig out 1act.) RANK 7 NODE 11 --> 26.3706551 sigma in 9act. ( 31.5951252 sig out 1act.) RANK 8 NODE 14 --> 19.2094002 sigma in 9act. ( 19.1571617 sig out 1act.) RANK 9 NODE 7 --> 17.988987 sigma in 9act. ( 18.0348091 sig out 1act.) RANK 10 NODE 2 --> 17.8592758 sigma in 9act. ( 18.0126953 sig out 1act.) RANK 11 NODE 4 --> 16.7621899 sigma in 9act. ( 17.2343864 sig out 1act.) RANK 12 NODE 1 --> 14.7740107 sigma in 9act. ( 12.9241571 sig out 1act.) RANK 13 NODE 3 --> 4.57264471 sigma in 9act. ( 3.68641162 sig out 1act.) RANK 14 NODE 9 --> 3.59905958 sigma in 9act. ( 3.17878652 sig out 1act.) RANK 15 NODE 6 --> 2.10181546 sigma in 9act. ( 1.22690797 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 67.1097488 sigma out 1act.( 71.4451447 sig in 9act.) RANK 2 NODE 8 --> 49.0477524 sigma out 1act.( 48.0338211 sig in 9act.) RANK 3 NODE 5 --> 44.3031158 sigma out 1act.( 40.2656097 sig in 9act.) RANK 4 NODE 12 --> 37.1506844 sigma out 1act.( 34.5868988 sig in 9act.) RANK 5 NODE 10 --> 34.0203094 sigma out 1act.( 34.5272827 sig in 9act.) RANK 6 NODE 11 --> 31.5951252 sigma out 1act.( 26.3706551 sig in 9act.) RANK 7 NODE 15 --> 25.710207 sigma out 1act.( 30.2268391 sig in 9act.) RANK 8 NODE 14 --> 19.1571617 sigma out 1act.( 19.2094002 sig in 9act.) RANK 9 NODE 7 --> 18.0348091 sigma out 1act.( 17.988987 sig in 9act.) RANK 10 NODE 2 --> 18.0126953 sigma out 1act.( 17.8592758 sig in 9act.) RANK 11 NODE 4 --> 17.2343864 sigma out 1act.( 16.7621899 sig in 9act.) RANK 12 NODE 1 --> 12.9241571 sigma out 1act.( 14.7740107 sig in 9act.) RANK 13 NODE 3 --> 3.68641162 sigma out 1act.( 4.57264471 sig in 9act.) RANK 14 NODE 9 --> 3.17878652 sigma out 1act.( 3.59905958 sig in 9act.) RANK 15 NODE 6 --> 1.22690797 sigma out 1act.( 2.10181546 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 120.726768 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.56921196 *** contribution from regularisation: 0.00260086916 *** contribution from error: -0.571812809 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 26367 Closing output file done