NNInput NNInputs_190.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= 41959 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 = 5756 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 5756 Chosen entries: 5756 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.158992 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 5756 Entries to split: 5756 Test with : 2878 Train with : 2878 ********************************************* * 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= 5756 for Signal Prepared event 0 for Signal with 5756 events ====Entry 0 Variable Ht : 269.375 Variable LepAPt : 82.7243 Variable LepBPt : 24.9228 Variable MetSigLeptonsJets : 8.87107 Variable MetSpec : 111.473 Variable SumEtLeptonsJets : 157.902 Variable VSumJetLeptonsPt : 111.283 Variable addEt : 219.12 Variable dPhiLepSumMet : 2.70128 Variable dPhiLeptons : 0.0515538 Variable dRLeptons : 0.222482 Variable lep1_E : 87.9707 Variable lep2_E : 29.0931 ===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 = 2190 Ht = 269.375 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 82.7243 LepAPt = 82.7243 LepBEt = 24.9228 LepBPt = 24.9228 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 111.473 MetDelPhi = 1.8522 MetSig = 7.44532 MetSigLeptonsJets = 8.87107 MetSpec = 111.473 Mjj = 0 MostCentralJetEta = 0.0766035 MtllMet = 224.076 Njets = 1 SB = 0 SumEt = 224.168 SumEtJets = 0 SumEtLeptonsJets = 157.902 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 111.283 addEt = 219.12 dPhiLepSumMet = 2.70128 dPhiLeptons = 0.0515538 dRLeptons = 0.222482 diltype = 45 dimass = 10.1207 event = 639 jet1_Et = 50.2548 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 87.9707 lep2_E = 29.0931 rand = 0.999742 run = 228536 weight = 2.224e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===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 = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.186799 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 880 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 41959 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 880 negative weights. Signal fraction: 62.5246162 % ------------------------------ 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 56.0109749 62.5045547 64.4871979 66.0421829 67.3819122 68.5177307 69.2659607 70.4239655 70.9506836 71.6390381 72.47966 73.2066727 73.8098297 74.4376984 74.9141312 75.4898453 75.8900681 76.5085754 77.0778656 77.5475845 78.0712738 78.5857086 79.1434021 79.6052094 80.1813354 80.8439789 81.4829254 81.9863052 82.661171 83.4737549 84.5025787 85.3539352 86.397377 87.493927 88.7801819 90.4829254 91.8847809 93.5285797 95.6687622 97.4273224 99.5534821 101.149841 103.17569 105.10997 106.903427 108.857437 110.813217 113.186111 115.72171 117.771927 119.918884 121.609352 123.356232 125.351791 127.557983 129.527451 132.110687 133.639404 135.421906 137.368301 138.58786 140.700104 142.267776 144.16806 145.924484 147.642715 149.089355 151.230591 153.00412 154.802109 156.203125 158.051804 160.397247 162.367035 164.063202 165.733185 167.659821 169.758667 171.930054 174.374908 177.095367 180.129791 182.202759 184.743347 188.011871 190.811356 193.270676 196.392456 200.765793 204.108124 208.128922 213.833313 219.538269 225.364807 233.955811 245.341965 256.123779 267.545715 285.585449 326.590393 563.421997 ------------------------------ Transdef: Tab for variable 3 20.0021629 20.2758369 20.5408096 20.773695 21.0182457 21.3091202 21.540287 21.7515202 21.9505062 22.1138535 22.3326721 22.5754452 22.8089256 23.0223846 23.2132759 23.4143696 23.6162567 23.7644348 23.9223022 24.0821457 24.270649 24.4821434 24.6452866 24.8532143 25.0811272 25.2926865 25.4611931 25.5912552 25.7193699 25.8931999 26.0821419 26.2649956 26.4433098 26.7199974 26.9255638 27.1769524 27.3803406 27.6186848 27.8456001 28.0827408 28.2825394 28.5384407 28.8012981 29.1236668 29.3274803 29.6187 29.843729 30.1607819 30.4645004 30.8761635 31.2690201 31.5809555 31.9327126 32.3413582 32.6788483 33.0798531 33.3675117 33.8203049 34.2410202 34.5560074 35.0311279 35.4618835 35.87397 36.3429108 36.7659378 37.2629242 37.7769241 38.236702 38.7121391 39.4325294 39.931366 40.6615372 41.3630028 42.0257797 42.7298622 43.4004135 44.1650238 44.9456596 45.8209648 46.6049194 47.3358955 48.0310631 48.6148529 49.3299866 50.181633 51.0783615 51.9689903 52.9441833 53.9211426 54.911747 56.2320633 57.7358627 58.7852097 60.0231018 61.8261299 63.8717651 65.8496094 67.9189224 72.3606262 79.1164398 190.476471 ------------------------------ Transdef: Tab for variable 4 10.0006418 10.0954189 10.1990499 10.2785149 10.3797264 10.4753551 10.6170292 10.7217407 10.8544788 10.981411 11.0904598 11.227725 11.3533287 11.5133524 11.6596165 11.7596493 11.9041157 12.0194817 12.1514263 12.2958832 12.4381771 12.5865479 12.7154655 12.8524837 12.9605856 13.0925694 13.2378082 13.3995991 13.5560026 13.7154684 13.8815327 14.0590191 14.2414379 14.3966303 14.5388002 14.6975851 14.8950596 15.0579319 15.2205505 15.3811779 15.5420418 15.727252 15.8974552 16.0529194 16.2094078 16.3979244 16.6209488 16.834301 17.050415 17.2269402 17.4459496 17.7020378 17.9195976 18.1710453 18.3592834 18.5234261 18.7823792 19.020174 19.2099838 19.4522629 19.6611195 19.8737946 20.1250648 20.3819695 20.6268005 20.9262123 21.1460915 21.4097176 21.5952759 21.8358078 22.0471306 22.3099785 22.5408154 22.776495 23.0655365 23.3268623 23.5837898 23.8483391 24.195282 24.5009842 24.864399 25.149641 25.4502983 25.858799 26.1965733 26.5154133 26.9199657 27.3954735 27.8664322 28.4097214 28.888382 29.4645767 30.2383976 30.7893524 31.561779 32.4709206 33.4614563 35.1334229 37.195755 40.5428429 60.4445114 ------------------------------ Transdef: Tab for variable 5 1.76680088 2.95523119 3.23342037 3.59690309 3.81693912 4.02687407 4.15496254 4.2904582 4.40720415 4.51544857 4.61092758 4.72291183 4.81733513 4.90922928 4.97771263 5.03395271 5.10827827 5.16386127 5.21641254 5.28290939 5.34729481 5.39122295 5.44262123 5.49072599 5.56552172 5.6098156 5.64681339 5.68811941 5.74003983 5.79298782 5.83785248 5.88668823 5.9276619 5.96588612 6.01725578 6.05908298 6.11619854 6.1698885 6.20866108 6.25105143 6.28787374 6.31870365 6.35226154 6.39104033 6.43911076 6.47930527 6.52186489 6.56249475 6.60921764 6.67583179 6.72659206 6.7757864 6.82625103 6.88583851 6.93889332 6.99398041 7.05382824 7.12128401 7.17895699 7.25257015 7.31518078 7.37611294 7.44190979 7.51109791 7.56821918 7.62911892 7.69704533 7.78374243 7.84155083 7.91042042 7.98223734 8.06062412 8.13436508 8.20727921 8.2819519 8.35756493 8.42891693 8.49856377 8.57097054 8.6524353 8.74267197 8.81766033 8.88803101 8.96532631 9.04194069 9.12209702 9.20076084 9.29100037 9.37783432 9.46616936 9.61268616 9.73604107 9.89021206 10.0274839 10.2326775 10.3808804 10.6334019 10.9533062 11.4101143 12.1551723 19.6063156 ------------------------------ Transdef: Tab for variable 6 25.000145 25.7265282 26.5616646 27.3530712 28.1566887 28.8803902 29.5595379 30.1748047 30.7611694 31.361517 31.7937126 32.3326187 32.8901787 33.2915573 33.6998596 34.1503677 34.6127777 34.987442 35.3379822 35.727211 36.1012802 36.410923 36.7397728 37.0512505 37.348362 37.6909103 38.0042534 38.3184509 38.7329941 39.0304527 39.3098488 39.5189667 39.9774818 40.2983437 40.6499062 41.0153084 41.3578262 41.6779022 42.1232224 42.5438576 42.9825363 43.3380966 43.8832779 44.5456085 45.147438 45.765419 46.5768661 47.2102356 47.994545 48.7970123 49.5836182 50.3322983 51.017437 52.0431519 53.0349655 54.0101852 55.0077286 55.9131241 56.9016037 58.0235748 58.9523163 59.814373 60.7709351 61.77882 62.7233162 63.6028366 64.5594711 65.6938248 66.9328461 67.8272095 68.8564148 69.4774323 70.7768555 71.9586182 72.9021301 73.9613953 74.9068298 75.8818817 76.9713745 77.9013596 78.7647552 80.0489578 81.0328827 82.1034698 83.1324921 84.2581024 85.6455536 86.8090973 88.2931519 89.9670258 91.4973602 93.6417999 95.9549866 98.3308258 101.162666 104.124954 109.437256 114.54953 120.975441 133.778168 209.534119 ------------------------------ Transdef: Tab for variable 7 30.1895332 32.5193787 33.4021606 34.1866989 34.7679291 35.3225555 35.6576614 36.0950775 36.3909378 36.697525 37.0217896 37.3352203 37.668129 37.9593124 38.1930504 38.4295349 38.6824303 38.8892746 39.1096992 39.3479691 39.5378609 39.7853317 40.1337166 40.4796066 40.7014771 40.9449005 41.3071976 41.5573044 41.9721985 42.3228836 42.7546158 43.2355728 43.9119492 44.6317368 45.3892441 46.0398026 47.1492081 48.2053986 49.3865242 50.7303162 51.8646393 53.1712151 54.2795486 55.4955673 56.5097198 57.5056763 58.4796791 59.4587364 60.705513 61.7959213 62.6183929 63.7789421 64.6099701 65.6655273 66.4763336 67.3719177 68.6097565 70.0765839 71.0388794 72.1682892 73.2482605 74.3522491 75.1346283 76.5737 77.7402496 78.6460724 80.1285706 81.1016922 82.1673584 83.2400742 84.1864319 85.8443298 87.1735916 88.4391479 89.768219 91.5247955 93.1092911 94.4271393 95.9941177 97.428772 99.1606293 101.887077 104.058662 105.874039 107.736053 110.263672 112.786255 115.466133 118.54673 121.770309 124.736473 129.192337 133.629883 137.888397 143.615768 149.318695 160.23584 173.473251 187.730103 217.546326 366.738892 ------------------------------ Transdef: Tab for variable 8 0.888904691 26.8850021 29.7473793 31.3688583 32.2110596 32.7975769 33.3171463 33.763031 34.1476669 34.5851059 34.9683189 35.2986908 35.5457306 35.8705254 36.1209641 36.4511108 36.7017288 36.9345169 37.2395248 37.5256767 37.7151184 37.9220734 38.1205215 38.2724609 38.5485229 38.7675095 39.0010643 39.2643433 39.5211029 39.7714462 40.0208321 40.2122345 40.4620132 40.7749481 41.0135307 41.3544846 41.725563 42.1824799 42.5442047 43.015007 43.4810104 43.9198112 44.6383209 45.3406601 45.9929314 46.6563148 47.294136 48.0684052 48.8659363 49.5993538 50.2935486 51.0847054 51.9221954 52.9914017 53.6905136 54.5831757 55.4545784 56.1181793 56.8881111 57.5733871 58.5743141 59.4092484 60.2731934 61.1870651 62.1088638 63.0987778 63.7567291 64.6052856 65.4010468 66.1001358 66.8497467 67.8244858 68.817627 69.7422409 70.5762634 71.5251465 72.4250259 73.4127197 74.247406 74.9724121 75.9632263 77.0821533 78.1942062 79.5922394 80.532135 81.5819473 82.8257675 83.8795471 85.3393097 87.285202 88.9053955 90.8071289 93.1394806 95.016449 97.269722 100.527115 105.11319 111.57563 121.027939 137.210968 215.493652 ------------------------------ Transdef: Tab for variable 9 56.0109749 62.3919983 64.2464752 65.666481 66.8136749 67.8587723 68.7376099 69.6535645 70.4693909 70.9546967 71.5659561 72.3194046 73.0222168 73.5375366 74.0324554 74.6654053 75.0470886 75.5847473 76.026474 76.4810944 77.0101013 77.4354858 77.8944855 78.4096298 78.8705826 79.3935928 79.7860565 80.2244263 80.8153381 81.328598 81.8704987 82.3033905 82.8826904 83.585701 84.4532623 85.2064896 86.0224762 86.746521 87.6308594 88.4659424 89.6295471 90.9462128 92.3093262 94.1624374 95.9689941 97.4273224 99.2190399 100.852234 102.447083 104.344482 105.554169 106.900208 108.555115 110.558319 112.127213 113.844963 115.310379 116.41819 118.006607 119.716347 121.20179 122.619278 124.463913 126.085098 127.643616 129.265808 130.6315 132.262482 133.767975 134.91333 136.011871 137.702637 139.150116 140.580017 141.855042 143.102203 144.624527 145.924484 147.279602 148.575317 150.726959 152.387604 153.966812 155.359802 157.228806 159.208893 160.897766 162.708832 164.297821 166.124161 167.609039 169.431015 171.945648 173.996613 176.821564 180.726746 184.980347 189.508804 197.550842 209.173279 374.40567 ------------------------------ Transdef: Tab for variable 10 0.202411547 1.16079974 1.42581117 1.63543105 1.77846169 1.91239071 2.0022769 2.08090687 2.14496326 2.21395421 2.27436328 2.32165074 2.35807896 2.40556288 2.45254707 2.49165988 2.51999283 2.54968262 2.57527256 2.59573793 2.62088108 2.64354992 2.66598988 2.68375063 2.70389557 2.7223475 2.73651028 2.75072098 2.76571035 2.78024602 2.79709005 2.81401968 2.8249321 2.83669996 2.85007143 2.86155081 2.87165403 2.88068175 2.88912892 2.89867973 2.90650868 2.91501522 2.92307067 2.93127799 2.93941879 2.94555974 2.95166254 2.95736408 2.96461439 2.96999598 2.97773504 2.98303437 2.9882226 2.99268556 2.9982729 3.00248384 3.00669003 3.01244164 3.01814771 3.02202272 3.02504539 3.02887201 3.03307819 3.03576612 3.0397501 3.04345679 3.04642296 3.05109024 3.05446243 3.05808496 3.06157541 3.0648942 3.06837702 3.07209349 3.07529783 3.07774401 3.08042765 3.08370399 3.08638406 3.08877563 3.09177327 3.0942328 3.0965209 3.09897757 3.10095263 3.10360646 3.10550642 3.10878754 3.11122942 3.11450577 3.11658168 3.1193471 3.12153721 3.12422085 3.12695336 3.1293664 3.13190794 3.13418055 3.13655901 3.13871145 3.14158654 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00609838124 0.00995253958 0.0150724975 0.02093805 0.0279796571 0.0335415602 0.0405883193 0.0499379635 0.0571303368 0.0649861097 0.0715903938 0.0771398321 0.0848464966 0.0895792171 0.0967627764 0.104561031 0.111977071 0.117452383 0.123394877 0.129620075 0.136604309 0.144307494 0.150033236 0.157913327 0.163972288 0.169996172 0.176056921 0.182347924 0.189246893 0.195351243 0.200141311 0.205511451 0.21066761 0.215221167 0.221472263 0.22633338 0.230354965 0.234866992 0.239605963 0.244446158 0.249895215 0.25408411 0.260100067 0.26424861 0.269543767 0.274232149 0.279830664 0.284356296 0.290062189 0.296684593 0.301983237 0.307205915 0.312243938 0.31821847 0.322885096 0.32754004 0.332420886 0.33884266 0.344620168 0.35194087 0.359007061 0.365484238 0.371192575 0.376221806 0.38130331 0.388202488 0.394962311 0.401947379 0.408316374 0.414560556 0.420776606 0.428487569 0.434906125 0.440547228 0.447431862 0.457589 0.465567797 0.475353241 0.483332992 0.493647814 0.500971019 0.51067543 0.520017147 0.529574513 0.53973645 0.54985404 0.563604295 0.577222705 0.591637611 0.603629112 0.619179249 0.636050463 0.652678907 0.673831224 0.69540453 0.713973522 0.74300009 0.784457684 0.845786929 1.09309101 ------------------------------ Transdef: Tab for variable 12 0.200196758 0.210972294 0.217281699 0.225311279 0.231509805 0.238133937 0.245091915 0.252902925 0.259311616 0.263889015 0.269789159 0.274889618 0.278539121 0.283586293 0.288709581 0.293779671 0.298875332 0.304186344 0.312009633 0.317456961 0.321963429 0.327967525 0.331349015 0.334970772 0.341302216 0.346603662 0.352015465 0.357937694 0.362123251 0.36657545 0.371306539 0.376113534 0.382429838 0.387849212 0.393072873 0.397489607 0.403027534 0.406623006 0.410637856 0.414432347 0.41876322 0.42224735 0.42554903 0.429578602 0.433159113 0.438017994 0.441456228 0.444913596 0.448490441 0.45325464 0.45696345 0.462181091 0.466000021 0.470405132 0.474694133 0.479785085 0.484514207 0.48826468 0.493694305 0.499966562 0.504697919 0.509110689 0.51385808 0.518237472 0.522785187 0.528094292 0.534744978 0.539539456 0.544826269 0.551424742 0.557353675 0.562960148 0.568786621 0.573854446 0.580264807 0.586428106 0.59267664 0.601805747 0.608900785 0.616166234 0.622804642 0.631126523 0.639700055 0.648668528 0.657761455 0.665600419 0.674642444 0.683407903 0.695146799 0.706946969 0.722602725 0.735634923 0.74586153 0.759540796 0.778109312 0.795289397 0.814828157 0.837065935 0.8633461 0.91994226 1.13498271 ------------------------------ Transdef: Tab for variable 13 20.041008 21.5041389 22.4866028 23.0785255 23.656765 24.2187462 24.7204628 25.2295914 25.7813206 26.1658745 26.6367683 27.0619144 27.4242783 28.0352764 28.3949509 28.7735729 29.2298088 29.5305786 29.85116 30.331501 30.6738396 31.0524101 31.6438408 32.0985107 32.4681244 32.8862228 33.2968216 33.7580872 34.2605743 34.7144394 35.1193008 35.6072083 36.0959549 36.3926544 36.8553085 37.2953873 37.7433968 38.266983 38.7109604 39.2282257 39.7005081 40.2550812 40.7496414 41.2793198 41.8165054 42.3917389 43.0112457 43.5333328 43.9460602 44.5902481 45.1481209 45.7210503 46.385788 46.8978424 47.5357399 48.1400261 48.7168503 49.1955719 49.7726479 50.396904 51.0738831 51.6852417 52.3545685 52.8587875 53.636158 54.2652779 55.1027756 55.8885269 56.5942535 57.3263397 58.1124802 58.9505768 59.699543 60.4029694 61.1921768 62.053566 62.8798981 63.7403641 64.504837 65.2917023 66.2258301 67.2086945 68.1550446 69.2075348 70.1887817 71.0090714 72.670784 73.8323517 75.1037216 76.4887543 77.8139038 79.7135162 81.8500061 83.6371613 85.8576202 89.1836014 92.873085 96.8483276 102.320969 114.819183 225.703049 ------------------------------ Transdef: Tab for variable 14 10.0144978 10.6924191 11.1349583 11.5526047 11.9224625 12.2527361 12.6536856 12.9994221 13.3086643 13.5411205 13.8560276 14.1029911 14.3301563 14.6138134 14.8939362 15.1362534 15.412919 15.6722488 15.8958416 16.2047119 16.55089 16.8474312 17.1650543 17.4362507 17.6860771 17.9789543 18.2668762 18.5447598 18.8541603 19.1227245 19.4118614 19.7310162 20.0977497 20.3742409 20.633688 20.9176483 21.2646942 21.6229057 21.9239311 22.148735 22.4194431 22.7671795 23.1189156 23.343338 23.590292 23.8034668 24.0318165 24.2579536 24.513237 24.7333984 25.012516 25.386055 25.6739273 25.9123631 26.1945724 26.3598938 26.6121845 26.8550911 27.1512756 27.4745979 27.7171936 27.9869194 28.3027153 28.5860176 28.8797646 29.1983681 29.5002956 29.8226357 30.1538506 30.4716339 30.8307266 31.1996346 31.5343437 31.9150047 32.2162018 32.6380997 33.0211105 33.4275055 33.8477631 34.313343 34.77845 35.4264526 36.0387115 36.5409508 37.2812119 37.9789276 38.7839508 39.5214081 40.3412132 41.2302246 42.0494843 43.0835724 44.358696 45.5509644 47.328804 49.4945908 51.9964828 54.7333832 58.3184891 66.4217224 115.483475 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 69.5 53.7 52.4 40.2 58.6 66.1 60.0 68.7 -26.8 -16.0 -29.4 13.5 9.2 2 69.5 100.0 67.4 57.0 46.8 77.9 94.1 79.7 93.0 -43.1 -22.0 -39.7 29.1 17.4 3 53.7 67.4 100.0 42.8 24.5 46.9 69.5 61.1 75.8 -11.6 -22.7 -46.0 60.2 11.9 4 52.4 57.0 42.8 100.0 18.6 39.0 59.3 50.1 60.8 -13.8 -26.0 -47.8 14.7 57.3 5 40.2 46.8 24.5 18.6 100.0 85.3 19.8 61.2 64.6 17.4 -10.6 -15.0 4.9 -1.6 6 58.6 77.9 46.9 39.0 85.3 100.0 58.0 81.0 85.9 -11.6 -17.6 -28.2 16.7 7.7 7 66.1 94.1 69.5 59.3 19.8 58.0 100.0 73.2 82.0 -51.2 -20.4 -39.0 32.9 21.6 8 60.0 79.7 61.1 50.1 61.2 81.0 73.2 100.0 85.4 -13.8 -23.1 -37.0 28.5 16.9 9 68.7 93.0 75.8 60.8 64.6 85.9 82.0 85.4 100.0 -20.6 -24.6 -45.0 36.4 20.4 10 -26.8 -43.1 -11.6 -13.8 17.4 -11.6 -51.2 -13.8 -20.6 100.0 3.7 4.5 -0.5 -2.2 11 -16.0 -22.0 -22.7 -26.0 -10.6 -17.6 -20.4 -23.1 -24.6 3.7 100.0 55.2 -0.6 -3.5 12 -29.4 -39.7 -46.0 -47.8 -15.0 -28.2 -39.0 -37.0 -45.0 4.5 55.2 100.0 -13.3 -10.3 13 13.5 29.1 60.2 14.7 4.9 16.7 32.9 28.5 36.4 -0.5 -0.6 -13.3 100.0 49.3 14 9.2 17.4 11.9 57.3 -1.6 7.7 21.6 16.9 20.4 -2.2 -3.5 -10.3 49.3 100.0 TOTAL CORRELATION TO TARGET (diagonal) 174.068325 TOTAL CORRELATION OF ALL VARIABLES 75.9573727 ROUND 1: MAX CORR ( 75.9547422) AFTER KILLING INPUT VARIABLE 11 CONTR 0.632144968 ROUND 2: MAX CORR ( 75.9444425) AFTER KILLING INPUT VARIABLE 2 CONTR 1.25080516 ROUND 3: MAX CORR ( 75.9155077) AFTER KILLING INPUT VARIABLE 6 CONTR 2.09619519 ROUND 4: MAX CORR ( 75.8679956) AFTER KILLING INPUT VARIABLE 8 CONTR 2.68543326 ROUND 5: MAX CORR ( 75.7733694) AFTER KILLING INPUT VARIABLE 13 CONTR 3.7880401 ROUND 6: MAX CORR ( 75.4942535) AFTER KILLING INPUT VARIABLE 10 CONTR 6.49778425 ROUND 7: MAX CORR ( 75.1400101) AFTER KILLING INPUT VARIABLE 12 CONTR 7.30487532 ROUND 8: MAX CORR ( 74.5485541) AFTER KILLING INPUT VARIABLE 9 CONTR 9.40926121 ROUND 9: MAX CORR ( 74.3202629) AFTER KILLING INPUT VARIABLE 3 CONTR 5.82970272 ROUND 10: MAX CORR ( 72.9679541) AFTER KILLING INPUT VARIABLE 14 CONTR 14.1130845 ROUND 11: MAX CORR ( 71.6027883) AFTER KILLING INPUT VARIABLE 4 CONTR 14.0485956 ROUND 12: MAX CORR ( 66.05787) AFTER KILLING INPUT VARIABLE 5 CONTR 27.6281939 LAST REMAINING VARIABLE: 7 total correlation to target: 75.9573727 % total significance: 51.5066544 sigma correlations of single variables to target: variable 2: 69.478588 % , in sigma: 47.1133939 variable 3: 53.7448223 % , in sigma: 36.4443357 variable 4: 52.3741727 % , in sigma: 35.5148989 variable 5: 40.1893239 % , in sigma: 27.2523593 variable 6: 58.6069916 % , in sigma: 39.7413701 variable 7: 66.05787 % , in sigma: 44.7938068 variable 8: 60.0440218 % , in sigma: 40.7158195 variable 9: 68.6886148 % , in sigma: 46.5777135 variable 10: -26.7679975 % , in sigma: 18.151365 variable 11: -16.0415568 % , in sigma: 10.8777712 variable 12: -29.3901647 % , in sigma: 19.9294552 variable 13: 13.4928557 % , in sigma: 9.14949834 variable 14: 9.1781049 % , in sigma: 6.2236681 variables sorted by significance: 1 most relevant variable 7 corr 66.057869 , in sigma: 44.7938061 2 most relevant variable 5 corr 27.6281948 , in sigma: 18.7346643 3 most relevant variable 4 corr 14.0485954 , in sigma: 9.52634516 4 most relevant variable 14 corr 14.1130848 , in sigma: 9.57007536 5 most relevant variable 3 corr 5.82970285 , in sigma: 3.95311843 6 most relevant variable 9 corr 9.40926075 , in sigma: 6.38041476 7 most relevant variable 12 corr 7.30487537 , in sigma: 4.95343214 8 most relevant variable 10 corr 6.49778414 , in sigma: 4.406144 9 most relevant variable 13 corr 3.78804016 , in sigma: 2.56866804 10 most relevant variable 8 corr 2.68543315 , in sigma: 1.8209908 11 most relevant variable 6 corr 2.09619522 , in sigma: 1.42142887 12 most relevant variable 2 corr 1.25080514 , in sigma: 0.848170306 13 most relevant variable 11 corr 0.632144988 , in sigma: 0.428657183 global correlations between input variables: variable 2: 99.22274 % variable 3: 93.2478424 % variable 4: 89.7873638 % variable 5: 95.3700568 % variable 6: 96.0906474 % variable 7: 98.7649139 % variable 8: 91.0701719 % variable 9: 98.9181728 % variable 10: 71.0143994 % variable 11: 56.2282511 % variable 12: 70.5085188 % variable 13: 86.7741003 % variable 14: 86.1848942 % significance loss when removing single variables: variable 2: corr = 1.2807043 % , sigma = 0.868444912 variable 3: corr = 12.5829866 % , sigma = 8.53251657 variable 4: corr = 16.756495 % , sigma = 11.3625704 variable 5: corr = 13.426026 % , sigma = 9.10418114 variable 6: corr = 1.68753175 % , sigma = 1.14431439 variable 7: corr = 7.68650838 % , sigma = 5.21221729 variable 8: corr = 2.23043918 % , sigma = 1.51245963 variable 9: corr = 7.67013587 % , sigma = 5.20111509 variable 10: corr = 5.09825431 % , sigma = 3.45712356 variable 11: corr = 0.632144968 % , sigma = 0.42865717 variable 12: corr = 6.04500817 % , sigma = 4.09911686 variable 13: corr = 3.68991248 % , sigma = 2.50212771 variable 14: corr = 6.53402418 % , sigma = 4.43071835 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 3 --> 10.9803133 sigma out 15 active outputs RANK 2 NODE 4 --> 8.56192303 sigma out 15 active outputs RANK 3 NODE 7 --> 7.88332653 sigma out 15 active outputs RANK 4 NODE 5 --> 7.07146072 sigma out 15 active outputs RANK 5 NODE 6 --> 6.49689436 sigma out 15 active outputs RANK 6 NODE 8 --> 6.11796045 sigma out 15 active outputs RANK 7 NODE 1 --> 5.45339537 sigma out 15 active outputs RANK 8 NODE 9 --> 4.90687943 sigma out 15 active outputs RANK 9 NODE 2 --> 4.83349991 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 13.8116779 sigma in 9act. ( 16.4475975 sig out 1act.) RANK 2 NODE 4 --> 8.43615437 sigma in 9act. ( 9.64808273 sig out 1act.) RANK 3 NODE 7 --> 6.60971832 sigma in 9act. ( 6.3743515 sig out 1act.) RANK 4 NODE 13 --> 6.51669121 sigma in 9act. ( 6.7410531 sig out 1act.) RANK 5 NODE 5 --> 6.25035143 sigma in 9act. ( 6.33756733 sig out 1act.) RANK 6 NODE 3 --> 4.97679281 sigma in 9act. ( 5.57976818 sig out 1act.) RANK 7 NODE 6 --> 4.57714891 sigma in 9act. ( 4.98783016 sig out 1act.) RANK 8 NODE 2 --> 2.90103364 sigma in 9act. ( 2.49554634 sig out 1act.) RANK 9 NODE 10 --> 2.66448545 sigma in 9act. ( 3.28820014 sig out 1act.) RANK 10 NODE 1 --> 2.6414485 sigma in 9act. ( 2.7696991 sig out 1act.) RANK 11 NODE 11 --> 1.85165894 sigma in 9act. ( 1.90757966 sig out 1act.) RANK 12 NODE 12 --> 1.11875498 sigma in 9act. ( 1.06795335 sig out 1act.) RANK 13 NODE 9 --> 1.03738785 sigma in 9act. ( 0.487070918 sig out 1act.) RANK 14 NODE 8 --> 1.0231638 sigma in 9act. ( 0.238123789 sig out 1act.) RANK 15 NODE 14 --> 0.822525263 sigma in 9act. ( 0.227599457 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 16.4475975 sigma out 1act.( 13.8116779 sig in 9act.) RANK 2 NODE 4 --> 9.64808273 sigma out 1act.( 8.43615437 sig in 9act.) RANK 3 NODE 13 --> 6.7410531 sigma out 1act.( 6.51669121 sig in 9act.) RANK 4 NODE 7 --> 6.3743515 sigma out 1act.( 6.60971832 sig in 9act.) RANK 5 NODE 5 --> 6.33756733 sigma out 1act.( 6.25035143 sig in 9act.) RANK 6 NODE 3 --> 5.57976818 sigma out 1act.( 4.97679281 sig in 9act.) RANK 7 NODE 6 --> 4.98783016 sigma out 1act.( 4.57714891 sig in 9act.) RANK 8 NODE 10 --> 3.28820014 sigma out 1act.( 2.66448545 sig in 9act.) RANK 9 NODE 1 --> 2.7696991 sigma out 1act.( 2.6414485 sig in 9act.) RANK 10 NODE 2 --> 2.49554634 sigma out 1act.( 2.90103364 sig in 9act.) RANK 11 NODE 11 --> 1.90757966 sigma out 1act.( 1.85165894 sig in 9act.) RANK 12 NODE 12 --> 1.06795335 sigma out 1act.( 1.11875498 sig in 9act.) RANK 13 NODE 9 --> 0.487070918 sigma out 1act.( 1.03738785 sig in 9act.) RANK 14 NODE 8 --> 0.238123789 sigma out 1act.( 1.0231638 sig in 9act.) RANK 15 NODE 14 --> 0.227599457 sigma out 1act.( 0.822525263 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.9936752 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 17.4157429 sigma out 15 active outputs RANK 2 NODE 3 --> 12.7960148 sigma out 15 active outputs RANK 3 NODE 4 --> 10.3574228 sigma out 15 active outputs RANK 4 NODE 7 --> 9.47800732 sigma out 15 active outputs RANK 5 NODE 1 --> 8.14841557 sigma out 15 active outputs RANK 6 NODE 9 --> 7.20297813 sigma out 15 active outputs RANK 7 NODE 8 --> 6.92284203 sigma out 15 active outputs RANK 8 NODE 5 --> 6.90137243 sigma out 15 active outputs RANK 9 NODE 6 --> 6.78077316 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 12.9717875 sigma in 9act. ( 13.8491154 sig out 1act.) RANK 2 NODE 6 --> 9.89047241 sigma in 9act. ( 6.43502045 sig out 1act.) RANK 3 NODE 10 --> 9.69011211 sigma in 9act. ( 5.58093214 sig out 1act.) RANK 4 NODE 13 --> 9.2187748 sigma in 9act. ( 7.6865921 sig out 1act.) RANK 5 NODE 3 --> 8.67044067 sigma in 9act. ( 6.52532244 sig out 1act.) RANK 6 NODE 5 --> 8.33526039 sigma in 9act. ( 5.8343749 sig out 1act.) RANK 7 NODE 7 --> 8.02384186 sigma in 9act. ( 6.14241028 sig out 1act.) RANK 8 NODE 4 --> 7.75856113 sigma in 9act. ( 7.63953638 sig out 1act.) RANK 9 NODE 8 --> 6.6644001 sigma in 9act. ( 1.86626899 sig out 1act.) RANK 10 NODE 12 --> 5.99545717 sigma in 9act. ( 3.6198535 sig out 1act.) RANK 11 NODE 2 --> 5.93348265 sigma in 9act. ( 2.95881796 sig out 1act.) RANK 12 NODE 1 --> 5.49136734 sigma in 9act. ( 3.17101669 sig out 1act.) RANK 13 NODE 14 --> 5.01811838 sigma in 9act. ( 1.19502223 sig out 1act.) RANK 14 NODE 11 --> 4.80568933 sigma in 9act. ( 2.84313774 sig out 1act.) RANK 15 NODE 9 --> 3.97084761 sigma in 9act. ( 0.90194726 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 13.8491154 sigma out 1act.( 12.9717875 sig in 9act.) RANK 2 NODE 13 --> 7.6865921 sigma out 1act.( 9.2187748 sig in 9act.) RANK 3 NODE 4 --> 7.63953638 sigma out 1act.( 7.75856113 sig in 9act.) RANK 4 NODE 3 --> 6.52532244 sigma out 1act.( 8.67044067 sig in 9act.) RANK 5 NODE 6 --> 6.43502045 sigma out 1act.( 9.89047241 sig in 9act.) RANK 6 NODE 7 --> 6.14241028 sigma out 1act.( 8.02384186 sig in 9act.) RANK 7 NODE 5 --> 5.8343749 sigma out 1act.( 8.33526039 sig in 9act.) RANK 8 NODE 10 --> 5.58093214 sigma out 1act.( 9.69011211 sig in 9act.) RANK 9 NODE 12 --> 3.6198535 sigma out 1act.( 5.99545717 sig in 9act.) RANK 10 NODE 1 --> 3.17101669 sigma out 1act.( 5.49136734 sig in 9act.) RANK 11 NODE 2 --> 2.95881796 sigma out 1act.( 5.93348265 sig in 9act.) RANK 12 NODE 11 --> 2.84313774 sigma out 1act.( 4.80568933 sig in 9act.) RANK 13 NODE 8 --> 1.86626899 sigma out 1act.( 6.6644001 sig in 9act.) RANK 14 NODE 14 --> 1.19502223 sigma out 1act.( 5.01811838 sig in 9act.) RANK 15 NODE 9 --> 0.90194726 sigma out 1act.( 3.97084761 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.2781162 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.550999165 *** contribution from regularisation: 0.0146067804 *** contribution from error: -0.565605938 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.606675327 *** contribution from regularisation: 0.00557988463 *** contribution from error: -0.612255216 *********************************************** -----------------> Test sample ENTER BFGS code START -12729.5397 -0.748275995 -0.0183898862 EXIT FROM BFGS code FG_START 0. -0.748275995 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.617935777 *** contribution from regularisation: 0.00365829002 *** contribution from error: -0.621594071 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12963.6745 -0.748275995 0.27301541 EXIT FROM BFGS code FG_LNSRCH 0. -0.746967018 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.624389648 *** contribution from regularisation: 0.00558236521 *** contribution from error: -0.629972041 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13099.0702 -0.746967018 -5.42554951 EXIT FROM BFGS code NEW_X -13099.0702 -0.746967018 -5.42554951 ENTER BFGS code NEW_X -13099.0702 -0.746967018 -5.42554951 EXIT FROM BFGS code FG_LNSRCH 0. -0.759863257 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.625669241 *** contribution from regularisation: 0.00592538761 *** contribution from error: -0.631594658 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13125.9144 -0.759863257 1.78805506 EXIT FROM BFGS code NEW_X -13125.9144 -0.759863257 1.78805506 ENTER BFGS code NEW_X -13125.9144 -0.759863257 1.78805506 EXIT FROM BFGS code FG_LNSRCH 0. -0.748955071 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.626092911 *** contribution from regularisation: 0.00575359305 *** contribution from error: -0.631846488 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13134.8036 -0.748955071 6.98359251 EXIT FROM BFGS code NEW_X -13134.8036 -0.748955071 6.98359251 ENTER BFGS code NEW_X -13134.8036 -0.748955071 6.98359251 EXIT FROM BFGS code FG_LNSRCH 0. -0.70899266 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.625996113 *** contribution from regularisation: 0.00536277937 *** contribution from error: -0.631358922 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13132.7723 -0.70899266 12.7811604 EXIT FROM BFGS code FG_LNSRCH 0. -0.740204334 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.625017524 *** contribution from regularisation: 0.00680601783 *** contribution from error: -0.63182354 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13112.2421 -0.740204334 7.91725445 EXIT FROM BFGS code FG_LNSRCH 0. -0.748739183 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.626054287 *** contribution from regularisation: 0.00579219777 *** contribution from error: -0.631846488 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13133.9932 -0.748739183 7.09549522 EXIT FROM BFGS code FG_LNSRCH 0. -0.748951316 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 12.9062252 sigma out 15 active outputs RANK 2 NODE 1 --> 6.71128845 sigma out 15 active outputs RANK 3 NODE 3 --> 6.26950026 sigma out 15 active outputs RANK 4 NODE 4 --> 6.02945995 sigma out 15 active outputs RANK 5 NODE 9 --> 4.69322729 sigma out 15 active outputs RANK 6 NODE 7 --> 4.53187227 sigma out 15 active outputs RANK 7 NODE 8 --> 3.45764685 sigma out 15 active outputs RANK 8 NODE 5 --> 3.09043241 sigma out 15 active outputs RANK 9 NODE 6 --> 2.97134662 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 7.53700542 sigma in 9act. ( 4.2867403 sig out 1act.) RANK 2 NODE 6 --> 6.55081177 sigma in 9act. ( 4.09843016 sig out 1act.) RANK 3 NODE 3 --> 5.87645245 sigma in 9act. ( 3.67292142 sig out 1act.) RANK 4 NODE 13 --> 5.26307297 sigma in 9act. ( 3.46829176 sig out 1act.) RANK 5 NODE 15 --> 5.18862343 sigma in 9act. ( 4.31529665 sig out 1act.) RANK 6 NODE 5 --> 5.04855824 sigma in 9act. ( 3.21873116 sig out 1act.) RANK 7 NODE 12 --> 4.99450207 sigma in 9act. ( 3.25469136 sig out 1act.) RANK 8 NODE 2 --> 4.94893932 sigma in 9act. ( 2.94649434 sig out 1act.) RANK 9 NODE 8 --> 4.62497711 sigma in 9act. ( 2.28495026 sig out 1act.) RANK 10 NODE 7 --> 4.0458622 sigma in 9act. ( 2.22931552 sig out 1act.) RANK 11 NODE 11 --> 3.69230962 sigma in 9act. ( 2.16058898 sig out 1act.) RANK 12 NODE 1 --> 3.63142753 sigma in 9act. ( 1.92385328 sig out 1act.) RANK 13 NODE 14 --> 3.5305438 sigma in 9act. ( 1.69783854 sig out 1act.) RANK 14 NODE 4 --> 3.48210573 sigma in 9act. ( 2.7560184 sig out 1act.) RANK 15 NODE 9 --> 2.68395877 sigma in 9act. ( 1.15865076 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 4.31529665 sigma out 1act.( 5.18862343 sig in 9act.) RANK 2 NODE 10 --> 4.2867403 sigma out 1act.( 7.53700542 sig in 9act.) RANK 3 NODE 6 --> 4.09843016 sigma out 1act.( 6.55081177 sig in 9act.) RANK 4 NODE 3 --> 3.67292142 sigma out 1act.( 5.87645245 sig in 9act.) RANK 5 NODE 13 --> 3.46829176 sigma out 1act.( 5.26307297 sig in 9act.) RANK 6 NODE 12 --> 3.25469136 sigma out 1act.( 4.99450207 sig in 9act.) RANK 7 NODE 5 --> 3.21873116 sigma out 1act.( 5.04855824 sig in 9act.) RANK 8 NODE 2 --> 2.94649434 sigma out 1act.( 4.94893932 sig in 9act.) RANK 9 NODE 4 --> 2.7560184 sigma out 1act.( 3.48210573 sig in 9act.) RANK 10 NODE 8 --> 2.28495026 sigma out 1act.( 4.62497711 sig in 9act.) RANK 11 NODE 7 --> 2.22931552 sigma out 1act.( 4.0458622 sig in 9act.) RANK 12 NODE 11 --> 2.16058898 sigma out 1act.( 3.69230962 sig in 9act.) RANK 13 NODE 1 --> 1.92385328 sigma out 1act.( 3.63142753 sig in 9act.) RANK 14 NODE 14 --> 1.69783854 sigma out 1act.( 3.5305438 sig in 9act.) RANK 15 NODE 9 --> 1.15865076 sigma out 1act.( 2.68395877 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.803834 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.625580907 *** contribution from regularisation: 0.00626556622 *** contribution from error: -0.631846488 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -13124.0623 -0.748951316 6.75342131 EXIT FROM BFGS code FG_LNSRCH 0. -0.748955071 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.62592423 *** contribution from regularisation: 0.005922304 *** contribution from error: -0.631846547 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13131.2642 -0.748955071 7.08486843 EXIT FROM BFGS code FG_LNSRCH 0. -0.748955071 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.625751853 *** contribution from regularisation: 0.00609466666 *** contribution from error: -0.631846547 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13127.6482 -0.748955071 7.02401972 EXIT FROM BFGS code FG_LNSRCH 0. -0.748955071 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.625710547 *** contribution from regularisation: 0.00613600295 *** contribution from error: -0.631846547 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13126.781 -0.748955071 7.12333393 EXIT FROM BFGS code FG_LNSRCH 0. -0.748955071 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.625682354 *** contribution from regularisation: 0.00616418151 *** contribution from error: -0.631846547 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13126.1899 -0.748955071 6.89902592 EXIT FROM BFGS code NEW_X -13126.1899 -0.748955071 6.89902592 ENTER BFGS code NEW_X -13126.1899 -0.748955071 6.89902592 EXIT FROM BFGS code CONVERGENC -13126.1899 -0.748955071 6.89902592 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 20.1695919 sigma out 15 active outputs RANK 2 NODE 1 --> 11.5789499 sigma out 15 active outputs RANK 3 NODE 3 --> 10.0335236 sigma out 15 active outputs RANK 4 NODE 4 --> 10.0247583 sigma out 15 active outputs RANK 5 NODE 9 --> 7.74143171 sigma out 15 active outputs RANK 6 NODE 7 --> 7.1189146 sigma out 15 active outputs RANK 7 NODE 8 --> 5.53969383 sigma out 15 active outputs RANK 8 NODE 5 --> 5.26783371 sigma out 15 active outputs RANK 9 NODE 6 --> 4.67793703 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 13.2149525 sigma in 9act. ( 8.71616459 sig out 1act.) RANK 2 NODE 3 --> 10.2096052 sigma in 9act. ( 7.3085742 sig out 1act.) RANK 3 NODE 6 --> 10.0918941 sigma in 9act. ( 8.70917225 sig out 1act.) RANK 4 NODE 2 --> 8.65141582 sigma in 9act. ( 5.44009495 sig out 1act.) RANK 5 NODE 15 --> 8.61985874 sigma in 9act. ( 8.74072647 sig out 1act.) RANK 6 NODE 13 --> 8.6072979 sigma in 9act. ( 7.13512325 sig out 1act.) RANK 7 NODE 12 --> 8.18828392 sigma in 9act. ( 6.37103701 sig out 1act.) RANK 8 NODE 5 --> 8.05416393 sigma in 9act. ( 6.44050026 sig out 1act.) RANK 9 NODE 8 --> 6.52459383 sigma in 9act. ( 4.61876917 sig out 1act.) RANK 10 NODE 11 --> 5.83267355 sigma in 9act. ( 3.8817153 sig out 1act.) RANK 11 NODE 4 --> 5.49915409 sigma in 9act. ( 5.40061331 sig out 1act.) RANK 12 NODE 7 --> 5.31163645 sigma in 9act. ( 4.58633184 sig out 1act.) RANK 13 NODE 1 --> 5.15987349 sigma in 9act. ( 3.65667558 sig out 1act.) RANK 14 NODE 14 --> 4.8641305 sigma in 9act. ( 3.21371794 sig out 1act.) RANK 15 NODE 9 --> 3.43278384 sigma in 9act. ( 2.05849695 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 8.74072647 sigma out 1act.( 8.61985874 sig in 9act.) RANK 2 NODE 10 --> 8.71616459 sigma out 1act.( 13.2149525 sig in 9act.) RANK 3 NODE 6 --> 8.70917225 sigma out 1act.( 10.0918941 sig in 9act.) RANK 4 NODE 3 --> 7.3085742 sigma out 1act.( 10.2096052 sig in 9act.) RANK 5 NODE 13 --> 7.13512325 sigma out 1act.( 8.6072979 sig in 9act.) RANK 6 NODE 5 --> 6.44050026 sigma out 1act.( 8.05416393 sig in 9act.) RANK 7 NODE 12 --> 6.37103701 sigma out 1act.( 8.18828392 sig in 9act.) RANK 8 NODE 2 --> 5.44009495 sigma out 1act.( 8.65141582 sig in 9act.) RANK 9 NODE 4 --> 5.40061331 sigma out 1act.( 5.49915409 sig in 9act.) RANK 10 NODE 8 --> 4.61876917 sigma out 1act.( 6.52459383 sig in 9act.) RANK 11 NODE 7 --> 4.58633184 sigma out 1act.( 5.31163645 sig in 9act.) RANK 12 NODE 11 --> 3.8817153 sigma out 1act.( 5.83267355 sig in 9act.) RANK 13 NODE 1 --> 3.65667558 sigma out 1act.( 5.15987349 sig in 9act.) RANK 14 NODE 14 --> 3.21371794 sigma out 1act.( 4.8641305 sig in 9act.) RANK 15 NODE 9 --> 2.05849695 sigma out 1act.( 3.43278384 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.6378918 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.625750363 *** contribution from regularisation: 0.00609617913 *** contribution from error: -0.631846547 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done