NNInput NNInputs_200.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= 14603 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 = 1772 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 1772 Chosen entries: 1772 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.138103 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 1772 Entries to split: 1772 Test with : 886 Train with : 886 ********************************************* * 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= 1772 for Signal Prepared event 0 for Signal with 1772 events ====Entry 0 Variable Ht : 152.764 Variable LepAPt : 33.6093 Variable LepBPt : 15.3084 Variable MetSigLeptonsJets : 8.99012 Variable MetSpec : 77.8251 Variable SumEtLeptonsJets : 74.9391 Variable VSumJetLeptonsPt : 71.9347 Variable addEt : 126.743 Variable dPhiLepSumMet : 2.71571 Variable dPhiLeptons : 0.104355 Variable dRLeptons : 0.619509 Variable lep1_E : 34.354 Variable lep2_E : 20.7615 ===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 = 2200 Ht = 152.764 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 33.6093 LepAPt = 33.6093 LepBEt = 15.3088 LepBPt = 15.3084 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 77.8251 MetDelPhi = 2.68307 MetSig = 6.17532 MetSigLeptonsJets = 8.99012 MetSpec = 77.8251 Mjj = 0 MostCentralJetEta = 0.104936 MtllMet = 131.249 Njets = 1 SB = 0 SumEt = 158.825 SumEtJets = 0 SumEtLeptonsJets = 74.9391 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 71.9347 addEt = 126.743 dPhiLepSumMet = 2.71571 dPhiLeptons = 0.104355 dRLeptons = 0.619509 diltype = 54 dimass = 14.2669 event = 542 jet1_Et = 26.0214 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 34.354 lep2_E = 20.7615 rand = 0.999742 run = 196099 weight = 1.72479e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 0.942455 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 405 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 14603 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 405 negative weights. Signal fraction: 73.6774826 % ------------------------------ 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 56.6901665 65.0856781 67.3899689 69.5354919 70.944397 71.8927155 74.3152924 75.0536194 75.5065231 76.6470947 77.0636749 78.2313843 79.3461838 80.9621887 81.4870148 82.1891708 83.3151703 83.411972 84.3763275 86.3001709 87.5502167 88.5438156 90.2771606 91.6453552 92.8181 93.5645218 94.1158829 95.4730301 96.9257812 98.3880615 98.8515472 99.7291794 101.76207 102.628807 103.918251 104.083344 104.960754 105.622467 106.364059 107.005814 107.95182 108.721359 111.166534 112.901627 113.392319 113.921738 114.51973 115.542526 117.393158 119.508255 120.943619 122.572876 124.235245 125.321495 126.790283 128.381256 129.576813 131.304977 133.202927 133.910889 134.765656 136.760773 137.760651 139.565369 141.477295 142.765259 143.411957 144.218323 145.88089 148.034302 149.732925 151.806915 153.538391 155.135345 158.907181 160.335785 162.703873 164.032578 166.634338 168.877533 170.387772 171.317932 173.996338 177.266556 179.428253 181.348389 186.964859 190.229584 193.174744 196.958771 200.254303 205.119064 213.083176 217.150238 221.801483 232.146942 240.458984 255.667908 278.882751 311.855469 541.294739 ------------------------------ Transdef: Tab for variable 3 20.0002613 20.4233932 20.659441 21.0307846 21.1756783 21.4306107 21.5014935 21.7579536 22.0203342 22.2276917 22.5631027 22.7573452 22.8165245 23.0860806 23.3206425 23.6053276 23.9020081 24.0643349 24.3526688 24.6951942 24.8794022 25.1049957 25.2537689 25.3611717 25.564167 25.6530075 25.8037682 26.0460052 26.2352428 26.5727081 26.8206844 27.0193176 27.1342621 27.4011269 27.7225971 27.9845772 28.2837543 28.5159836 28.6468658 28.8159542 29.1593952 29.3562374 29.5215874 29.8253479 29.9763069 30.1816273 30.4965782 30.6977501 30.9280663 31.2931442 31.4765854 31.6631317 31.7966499 32.2213974 32.332428 32.4776306 32.7045135 32.760788 33.1129341 33.2505836 33.7459335 33.8343353 34.1444702 34.39748 34.7775002 34.972683 35.1846848 35.6353073 36.0664444 36.4384575 36.6189957 36.8183517 37.1895103 37.6750183 38.11866 38.6147614 38.9226036 39.4574127 39.9415817 40.5858002 41.3706436 42.1142044 42.7818031 43.3670425 43.9006119 44.6077003 45.0759583 45.9620056 46.4371376 47.7793922 48.7631187 49.3690186 50.0566711 51.7053375 53.1266594 55.2143784 57.3417435 59.6787643 63.7017593 68.0213852 109.76886 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.2761421 10.3982401 10.484725 10.5012732 10.6061745 10.7040501 10.7946301 10.8688374 10.976944 11.0889397 11.2950935 11.5013561 11.6974287 11.8308821 11.9973545 12.1844921 12.2706604 12.3603134 12.519948 12.6695747 12.7935581 12.9382858 13.1493053 13.4680614 13.535183 13.6091938 13.7754126 13.8060207 13.9772062 14.2658234 14.3947201 14.697711 14.8260736 15.0397701 15.3406105 15.6016617 15.686058 15.818305 15.962389 16.1752739 16.4411049 16.7352772 16.8257599 16.9382133 17.0966911 17.2831764 17.5192337 17.8682575 18.0910244 18.3209591 18.5061989 18.7170181 18.982769 19.3344307 19.6164818 19.7454376 20.0775795 20.1869888 20.2619495 20.3062572 20.3793507 20.5271225 20.6652908 20.8242188 21.010458 21.1300106 21.1937885 21.407217 21.5392952 21.7359848 21.807209 22.0334549 22.18433 22.3579731 22.5162582 22.7314987 22.8531456 22.9954109 23.2536812 23.4245071 23.5999451 23.7583637 23.9257202 24.0831699 24.4027901 24.5079231 24.7994442 25.145031 25.3682938 25.6852207 25.9870319 26.4741287 26.926384 27.3205833 27.7547112 28.2976494 29.128479 30.6448689 32.2324638 38.2633057 ------------------------------ Transdef: Tab for variable 5 2.27112842 3.0253706 3.26099205 3.72550082 3.81715155 3.99108267 4.13543844 4.25747347 4.48207617 4.53467274 4.65013695 4.79135895 4.91736031 5.03768921 5.13045979 5.17551231 5.26469898 5.29099417 5.33909416 5.37870216 5.4495759 5.49397135 5.52441454 5.58147049 5.71207333 5.74673605 5.85867214 5.94057846 5.99431801 6.07778835 6.20303583 6.30488634 6.33657932 6.38517284 6.45293617 6.5666728 6.62656689 6.64199686 6.70876408 6.74351311 6.77554226 6.83797789 6.87176371 6.87877846 6.92136574 6.95854473 6.98966026 7.04161644 7.07416344 7.15610504 7.17928886 7.220788 7.24822521 7.31871223 7.37618923 7.39815712 7.41117191 7.46490145 7.49717903 7.52468014 7.55903244 7.59765816 7.64025688 7.71417522 7.76018906 7.80303955 7.85002041 7.91825724 8.01569176 8.06004715 8.1186018 8.14329338 8.22480583 8.25381851 8.30226421 8.34408951 8.44816399 8.50971603 8.63201141 8.67774582 8.76840591 8.8326931 8.89158344 8.95114803 8.98364162 9.07049561 9.16156578 9.31956863 9.40694427 9.5081749 9.61200523 9.72078228 9.86889076 10.0272436 10.2475691 10.4883575 10.6972637 11.0432091 11.5982475 12.3080759 19.0371113 ------------------------------ Transdef: Tab for variable 6 25.0010986 26.3810368 27.3300343 27.9884529 29.5933018 30.6027298 31.1572609 31.5568542 32.1132278 32.6545563 33.1469688 34.06147 34.5043869 34.7506027 34.8910141 35.6317902 36.4873352 37.0769348 37.7882309 38.5093269 38.8410912 39.6400414 40.328701 40.8282394 41.1390533 41.7729111 42.4224434 42.5713348 42.868412 43.0152359 43.4378204 43.8334961 44.2442856 45.2763214 45.7297897 46.0843658 47.0173187 47.4042587 47.8881607 48.1129951 48.2350922 48.9528732 49.6130676 50.2379532 50.4983444 50.8399048 51.4808884 51.9300461 52.6950684 53.7881699 54.5947342 55.3049164 56.2854958 56.685173 57.2794342 57.5910416 58.2130585 58.3857956 58.8360481 59.5971222 60.1352196 61.0106583 61.6360931 62.4721909 63.2676697 63.918396 64.6579742 65.276741 65.9474792 66.7319641 67.7433853 68.5170898 69.2554016 69.9908447 71.3949738 72.0962677 72.8679199 73.97509 74.7167206 75.4366302 76.3797913 77.655571 78.8326721 79.2145844 80.2115784 81.5592346 82.3104858 83.1480179 85.7247925 86.9965439 89.0636368 91.3208008 93.8656769 95.8391342 98.5938644 102.294846 105.030441 111.075081 119.464554 139.308731 205.722015 ------------------------------ Transdef: Tab for variable 7 30.250906 31.6798935 34.5171509 34.8574524 35.4063835 36.0606918 36.3413467 37.1721039 37.3819275 38.3865967 38.567379 38.9866104 39.3222809 39.7656479 40.3411598 40.7777405 41.2736473 41.547184 42.1673012 42.7821884 43.5784874 44.3339577 44.6441345 44.9369698 45.798172 46.1758347 46.5528107 46.9196701 47.8178406 48.3364182 49.0477448 49.3951035 49.7355347 50.1461792 50.8009415 51.2310257 52.0877151 52.6305161 53.7068939 55.2219238 56.1154556 56.8421211 57.1438408 58.1210785 58.543335 58.9223366 59.5353622 60.7884979 61.4239807 62.3219757 63.1562119 64.0164032 65.1049347 66.3843842 67.3194733 68.6116333 69.1446228 69.5941315 70.6137924 71.25383 72.3727112 73.2230835 73.7630463 74.403717 75.3717651 76.5825043 76.8197479 77.6720123 78.8916168 79.8677063 81.1476593 82.6840515 84.494339 86.2327042 87.7183456 88.9209595 90.5749054 92.3498383 93.421814 95.3495178 96.4329758 98.7467422 100.609093 103.104668 105.06311 107.090179 109.880249 111.682938 117.067596 119.452103 121.697418 126.75441 131.69426 134.994415 137.889328 144.001358 150.008636 159.137726 167.994415 193.235046 309.657013 ------------------------------ Transdef: Tab for variable 8 6.80322456 27.1326218 30.8268433 31.9035339 32.9466896 33.7277603 33.8586655 34.2597542 34.811718 35.0429459 35.5254135 35.8985901 36.1144753 36.6729507 37.1333733 37.616497 37.7626953 38.2052498 38.7455521 38.9471741 39.2307816 39.2669449 39.6276627 39.8073997 40.122673 40.9015503 41.5174637 42.1007423 42.918541 43.0823898 43.515995 43.966568 44.3301964 44.5999374 45.1696472 45.3510056 45.8858337 46.2326431 46.4414978 46.7943573 47.2136536 47.7750092 48.2282524 48.716713 48.749794 48.9456406 49.3321114 49.5639191 50.047287 50.5280685 51.0799408 51.5343399 52.5404129 53.060627 53.9404411 54.8562317 55.1913528 55.5640335 56.0674553 56.5793991 57.1284409 57.4663544 58.1517563 58.5921173 59.6908226 60.3570251 60.6808777 61.2176971 62.0264206 62.6209412 63.3660812 63.9266434 64.8026581 65.2821808 65.7657166 66.6058731 67.6439362 68.9593277 69.3963623 70.6354828 71.1142731 72.0797119 73.1785431 74.2106934 74.9983368 76.295105 77.5259933 79.4198456 80.8038864 83.3503265 85.7637939 88.5252533 90.6676407 92.4485397 95.012291 99.3877869 103.779678 109.806076 124.307053 139.07019 234.227936 ------------------------------ Transdef: Tab for variable 9 56.6901665 65.0856781 67.3899689 68.4836044 69.9209442 70.7000809 71.6652985 73.9124756 74.9848938 75.2408905 75.5541687 76.6523438 77.0398788 77.6093063 78.6286469 79.5030975 80.9621887 81.5523605 82.1875153 83.1936188 83.411972 83.9295349 84.3794556 85.9117737 86.8729248 87.8703918 88.5845337 89.5356903 90.5969696 91.6526031 92.8181 93.2092133 93.925766 95.1528625 95.507431 95.918457 97.0717545 98.0019379 98.396637 99.3394775 99.7291794 101.331604 102.145714 102.991508 103.934387 104.25058 104.809311 105.279549 105.622467 106.337883 106.79599 107.610779 107.95182 108.998672 110.498314 111.781548 112.923111 113.731415 114.184677 114.806396 115.447235 116.7061 117.408157 118.21328 119.852844 120.8563 121.994209 123.38443 124.293373 125.345009 126.491425 127.235046 128.429306 129.297241 130.422119 131.770752 133.372665 134.341888 135.264252 136.679169 137.618683 139.659424 141.658325 142.78244 144.067856 145.252716 147.187775 149.252563 151.088333 152.567688 154.348297 156.328033 159.659882 161.772186 164.551178 166.94693 170.1866 177.553741 183.335571 201.747467 282.530121 ------------------------------ Transdef: Tab for variable 10 0.000472510961 0.79605484 1.1560216 1.41625142 1.54091287 1.7214545 1.82146859 1.88094497 1.95746136 2.03574181 2.10177708 2.1847887 2.2587595 2.29733348 2.33628082 2.37024236 2.41800332 2.43227172 2.45977283 2.49389076 2.52106047 2.54020786 2.55986691 2.57275963 2.59566998 2.61486149 2.64128613 2.65976572 2.68686676 2.70543671 2.72819662 2.73964643 2.75699663 2.78004217 2.79086971 2.80461121 2.82022548 2.83223009 2.84230089 2.85398865 2.86544967 2.87448192 2.8804574 2.88765907 2.89795732 2.90375566 2.91321731 2.92178297 2.92841959 2.9364934 2.94512463 2.94896293 2.95085287 2.95838642 2.96620321 2.97447729 2.98022532 2.98454094 2.989398 2.99140072 2.99424982 2.99995875 3.00273776 3.00703001 3.01242757 3.01605725 3.02492023 3.02702713 3.03379202 3.03723502 3.04250431 3.04584241 3.04991674 3.05255032 3.05691051 3.06021714 3.06413698 3.06602812 3.06713247 3.07116747 3.07199717 3.07483864 3.07678938 3.0801425 3.08219337 3.08895731 3.09465599 3.09867048 3.10205126 3.10324097 3.10649252 3.10998631 3.11318445 3.11534786 3.12054729 3.1250515 3.12843752 3.13198376 3.133816 3.13696432 3.1415844 ------------------------------ Transdef: Tab for variable 11 0.000408172607 0.00899386406 0.0179104805 0.0272146408 0.038761504 0.0468412712 0.055823449 0.0607652366 0.0677660704 0.0792207122 0.0915433168 0.0982586592 0.106446624 0.114277944 0.125781298 0.130239487 0.140265107 0.146463513 0.157254234 0.161647081 0.175286114 0.180735648 0.195881829 0.21085912 0.218997359 0.231601238 0.235980645 0.251097322 0.261060357 0.269570112 0.27631402 0.28746438 0.300238371 0.303207695 0.309251785 0.316651314 0.32346189 0.329727292 0.339646399 0.346954942 0.352467537 0.359785438 0.362881482 0.365583658 0.370240569 0.373201013 0.375135779 0.377612829 0.383151174 0.387114614 0.390138149 0.392607808 0.39916122 0.401206255 0.40618664 0.4100492 0.411918402 0.416208237 0.419104189 0.423857629 0.428463042 0.433913112 0.437484264 0.439015627 0.442204922 0.446399212 0.449124992 0.452450782 0.458635449 0.461216688 0.464667976 0.467266709 0.47098428 0.47572419 0.478586912 0.485566109 0.496133626 0.505523205 0.515024185 0.517825365 0.522722423 0.527763367 0.532289803 0.542449236 0.553723454 0.562051415 0.574903369 0.583038151 0.596988678 0.60694766 0.613285899 0.638381779 0.650205731 0.654440999 0.666082501 0.697327852 0.716184199 0.744035721 0.80651921 0.861297429 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.280899316 0.3985672 0.402219772 0.406107664 0.408275425 0.412756085 0.415016055 0.418997794 0.420553029 0.423304498 0.424879193 0.427306861 0.427840829 0.43148011 0.43474403 0.437514335 0.440663934 0.443513542 0.44546634 0.446360826 0.44876349 0.451374799 0.455319226 0.45763582 0.46006614 0.462638259 0.465112686 0.467104465 0.469835192 0.472650528 0.47456789 0.477942735 0.479756474 0.481846213 0.484604359 0.487122536 0.490165114 0.492912173 0.496109784 0.499485612 0.502614677 0.505726159 0.509133756 0.512892485 0.515918374 0.521384001 0.522677779 0.524514675 0.526586831 0.528615773 0.532070518 0.53691411 0.539219856 0.543068409 0.547659278 0.550897717 0.555428445 0.557744861 0.55920279 0.563335776 0.569403708 0.571313381 0.575494051 0.577747464 0.581401885 0.586422563 0.591097593 0.595852792 0.603376329 0.605418265 0.611982346 0.617166817 0.622601986 0.629567981 0.631919146 0.636961997 0.644542813 0.646406472 0.655901074 0.658250868 0.667059481 0.670550108 0.676396072 0.678467929 0.688006282 0.695944548 0.703108191 0.713108778 0.719119668 0.730943263 0.746007919 0.753814697 0.766991138 0.780129552 0.790353358 0.796327531 0.815754116 0.838198662 0.86208427 0.90313518 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.1440792 21.9951992 22.1954346 23.1108704 23.999485 24.5945206 25.4012718 25.6225815 25.8217468 26.1731319 26.8136215 27.0821152 27.2212944 27.7362671 28.1935692 28.8324146 29.0492287 29.5193939 29.7383709 30.1276741 30.1867561 30.5765038 30.8547745 30.981266 31.3938599 31.5925217 31.8020535 32.1459694 32.3983192 32.5089264 32.7911301 33.1170502 33.4853134 33.9426537 34.3061981 34.5148773 34.9655838 35.4514427 35.6133423 36.000885 36.186554 36.304184 36.8562889 37.2992554 37.686512 38.2620392 38.6168976 39.054451 39.8097305 40.1364517 40.6335297 41.0247498 41.2956009 41.9232941 42.5681763 43.0764236 43.5014191 43.7860947 44.2068367 44.3980103 44.8673935 46.1802292 46.4500885 46.7967262 47.3514481 47.8366623 48.4699249 48.7586403 49.4404602 50.2684326 50.639679 51.1993217 51.6820259 52.5799332 53.5363617 54.4504356 55.3266373 56.4748306 57.3456726 58.9980774 59.8887405 60.6511955 62.0932388 62.6678314 64.1382599 64.830368 66.7091827 67.3378906 68.4385376 70.215744 71.9729004 74.6986084 77.4819641 78.6486282 81.1836548 83.4755173 88.2873154 89.9189453 96.0399704 110.999886 203.400589 ------------------------------ Transdef: Tab for variable 14 10.0354385 10.7622738 10.9244976 11.3453007 11.6020565 11.9024448 12.3120461 12.4119415 13.0417471 13.8099957 13.8870811 14.4296312 14.8388014 15.474617 15.9030132 16.1495743 16.3720589 16.5287857 16.7800789 16.9786415 17.4068699 17.6959496 17.735096 17.9575558 18.1346169 18.4062881 18.75033 18.7717533 18.9957142 19.1696033 19.5512848 19.9495754 20.0664558 20.2946243 20.5080566 20.6115208 20.7307987 21.2180939 21.3360901 21.52911 21.6822853 21.8184261 22.0124722 22.1945705 22.3074112 22.3733025 22.5845566 22.7857056 23.0417633 23.1529045 23.2335892 23.3907051 23.5655956 23.8350277 23.9089584 24.1516113 24.3996811 24.5493202 24.7027168 24.8609543 25.1240578 25.4711571 25.7621078 26.1145782 26.386055 26.5365219 26.5780449 26.8117085 27.1877594 27.3788834 27.5665092 27.767128 28.1114807 28.176836 28.4105453 29.085556 29.4397812 29.5828896 29.8747749 30.2096195 30.5301895 30.7913895 31.1836033 31.4550171 32.0397263 32.7233849 33.2305145 33.7073975 34.3371429 35.0911255 35.9369698 36.8012009 37.8624458 39.7721329 42.0162811 44.3295746 46.3827286 49.5969734 54.3059082 62.196312 89.625824 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 52.4 27.7 36.2 19.5 36.6 51.2 41.3 48.3 -25.9 -14.6 -22.6 12.2 26.0 2 52.4 100.0 53.1 39.9 40.5 72.4 93.7 78.5 90.1 -45.2 -19.0 -38.9 28.6 24.6 3 27.7 53.1 100.0 14.1 13.9 35.5 53.7 49.3 63.6 -6.1 -22.4 -46.8 66.7 3.6 4 36.2 39.9 14.1 100.0 9.7 27.1 41.4 36.8 42.6 -5.0 -26.9 -48.9 3.9 75.5 5 19.5 40.5 13.9 9.7 100.0 84.9 9.5 52.9 66.8 19.9 1.3 -10.3 3.8 5.7 6 36.6 72.4 35.5 27.1 84.9 100.0 49.0 76.8 86.8 -5.5 -8.4 -27.3 18.3 17.0 7 51.2 93.7 53.7 41.4 9.5 49.0 100.0 70.7 74.9 -54.9 -22.4 -38.7 29.7 25.3 8 41.3 78.5 49.3 36.8 52.9 76.8 70.7 100.0 84.1 -11.9 -21.9 -37.1 29.2 26.1 9 48.3 90.1 63.6 42.6 66.8 86.8 74.9 84.1 100.0 -17.5 -19.3 -44.5 35.9 26.9 10 -25.9 -45.2 -6.1 -5.0 19.9 -5.5 -54.9 -11.9 -17.5 100.0 -0.8 4.3 1.6 -0.8 11 -14.6 -19.0 -22.4 -26.9 1.3 -8.4 -22.4 -21.9 -19.3 -0.8 100.0 51.6 -21.2 -27.1 12 -22.6 -38.9 -46.8 -48.9 -10.3 -27.3 -38.7 -37.1 -44.5 4.3 51.6 100.0 -28.0 -35.2 13 12.2 28.6 66.7 3.9 3.8 18.3 29.7 29.2 35.9 1.6 -21.2 -28.0 100.0 27.5 14 26.0 24.6 3.6 75.5 5.7 17.0 25.3 26.1 26.9 -0.8 -27.1 -35.2 27.5 100.0 TOTAL CORRELATION TO TARGET (diagonal) 124.169116 TOTAL CORRELATION OF ALL VARIABLES 56.5642672 ROUND 1: MAX CORR ( 56.5639304) AFTER KILLING INPUT VARIABLE 6 CONTR 0.195198272 ROUND 2: MAX CORR ( 56.556588) AFTER KILLING INPUT VARIABLE 9 CONTR 0.911358212 ROUND 3: MAX CORR ( 56.5228065) AFTER KILLING INPUT VARIABLE 2 CONTR 1.95447807 ROUND 4: MAX CORR ( 56.4206217) AFTER KILLING INPUT VARIABLE 8 CONTR 3.39722037 ROUND 5: MAX CORR ( 56.3067595) AFTER KILLING INPUT VARIABLE 11 CONTR 3.58265097 ROUND 6: MAX CORR ( 56.0935671) AFTER KILLING INPUT VARIABLE 14 CONTR 4.89519094 ROUND 7: MAX CORR ( 56.0396463) AFTER KILLING INPUT VARIABLE 13 CONTR 2.45892611 ROUND 8: MAX CORR ( 55.8636285) AFTER KILLING INPUT VARIABLE 3 CONTR 4.43812665 ROUND 9: MAX CORR ( 55.7398298) AFTER KILLING INPUT VARIABLE 12 CONTR 3.7170358 ROUND 10: MAX CORR ( 55.4697989) AFTER KILLING INPUT VARIABLE 10 CONTR 5.47996717 ROUND 11: MAX CORR ( 53.7603361) AFTER KILLING INPUT VARIABLE 5 CONTR 13.6647303 ROUND 12: MAX CORR ( 51.1723175) AFTER KILLING INPUT VARIABLE 4 CONTR 16.4793098 LAST REMAINING VARIABLE: 7 total correlation to target: 56.5642672 % total significance: 19.75853 sigma correlations of single variables to target: variable 2: 52.4188384 % , in sigma: 18.3104855 variable 3: 27.7421993 % , in sigma: 9.69065994 variable 4: 36.1735879 % , in sigma: 12.6358381 variable 5: 19.4736694 % , in sigma: 6.80237013 variable 6: 36.6311857 % , in sigma: 12.7956821 variable 7: 51.1723175 % , in sigma: 17.8750618 variable 8: 41.3307968 % , in sigma: 14.4373087 variable 9: 48.2503813 % , in sigma: 16.8543969 variable 10: -25.8534414 % , in sigma: 9.03089571 variable 11: -14.5873705 % , in sigma: 5.09553137 variable 12: -22.6113925 % , in sigma: 7.89841184 variable 13: 12.2304329 % , in sigma: 4.27222674 variable 14: 25.9618655 % , in sigma: 9.06876946 variables sorted by significance: 1 most relevant variable 7 corr 51.1723175 , in sigma: 17.8750618 2 most relevant variable 4 corr 16.4793091 , in sigma: 5.75640664 3 most relevant variable 5 corr 13.6647301 , in sigma: 4.77324277 4 most relevant variable 10 corr 5.47996712 , in sigma: 1.91421369 5 most relevant variable 12 corr 3.71703577 , in sigma: 1.29840209 6 most relevant variable 3 corr 4.43812656 , in sigma: 1.55028716 7 most relevant variable 13 corr 2.4589262 , in sigma: 0.858930373 8 most relevant variable 14 corr 4.89519072 , in sigma: 1.70994477 9 most relevant variable 11 corr 3.5826509 , in sigma: 1.25145996 10 most relevant variable 8 corr 3.39722037 , in sigma: 1.186687 11 most relevant variable 2 corr 1.95447803 , in sigma: 0.682720994 12 most relevant variable 9 corr 0.911358237 , in sigma: 0.318347607 13 most relevant variable 6 corr 0.195198268 , in sigma: 0.0681849341 global correlations between input variables: variable 2: 99.3769735 % variable 3: 94.0117976 % variable 4: 89.3842686 % variable 5: 97.5176845 % variable 6: 95.3559474 % variable 7: 99.1129213 % variable 8: 90.2425883 % variable 9: 99.2889532 % variable 10: 73.0790834 % variable 11: 55.2376249 % variable 12: 72.0060582 % variable 13: 81.157794 % variable 14: 85.8557453 % significance loss when removing single variables: variable 2: corr = 1.19029298 % , sigma = 0.415782626 variable 3: corr = 5.28850756 % , sigma = 1.84733473 variable 4: corr = 6.88447734 % , sigma = 2.40482479 variable 5: corr = 5.73272943 % , sigma = 2.00250639 variable 6: corr = 0.195198272 % , sigma = 0.0681849357 variable 7: corr = 7.12531482 % , sigma = 2.48895201 variable 8: corr = 3.3157347 % , sigma = 1.15822315 variable 9: corr = 0.915955705 % , sigma = 0.319953553 variable 10: corr = 4.85878999 % , sigma = 1.69722959 variable 11: corr = 3.58630332 % , sigma = 1.25273579 variable 12: corr = 6.10693203 % , sigma = 2.13321954 variable 13: corr = 5.07978762 % , sigma = 1.77442653 variable 14: corr = 4.9362418 % , sigma = 1.72428437 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 5.96196699 sigma out 15 active outputs RANK 2 NODE 2 --> 5.36535549 sigma out 15 active outputs RANK 3 NODE 1 --> 4.82462788 sigma out 15 active outputs RANK 4 NODE 4 --> 4.77753019 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 4.22836018 sigma in 4act. ( 4.46449995 sig out 1act.) RANK 2 NODE 10 --> 4.01176929 sigma in 4act. ( 4.71803713 sig out 1act.) RANK 3 NODE 6 --> 3.7767489 sigma in 4act. ( 4.63271761 sig out 1act.) RANK 4 NODE 3 --> 3.7420671 sigma in 4act. ( 4.53415394 sig out 1act.) RANK 5 NODE 12 --> 3.6777153 sigma in 4act. ( 4.24347448 sig out 1act.) RANK 6 NODE 5 --> 3.01769733 sigma in 4act. ( 2.95969319 sig out 1act.) RANK 7 NODE 1 --> 2.66490269 sigma in 4act. ( 3.05345774 sig out 1act.) RANK 8 NODE 4 --> 2.26194453 sigma in 4act. ( 3.01074386 sig out 1act.) RANK 9 NODE 14 --> 1.68964219 sigma in 4act. ( 2.11882949 sig out 1act.) RANK 10 NODE 13 --> 1.58318388 sigma in 4act. ( 1.2011646 sig out 1act.) RANK 11 NODE 11 --> 1.57707751 sigma in 4act. ( 2.06372023 sig out 1act.) RANK 12 NODE 7 --> 1.57696092 sigma in 4act. ( 1.88248754 sig out 1act.) RANK 13 NODE 15 --> 1.47763884 sigma in 4act. ( 1.21414042 sig out 1act.) RANK 14 NODE 8 --> 0.778091609 sigma in 4act. ( 0.517598748 sig out 1act.) RANK 15 NODE 2 --> 0.468316138 sigma in 4act. ( 0.411310434 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 4.71803713 sigma out 1act.( 4.01176929 sig in 4act.) RANK 2 NODE 6 --> 4.63271761 sigma out 1act.( 3.7767489 sig in 4act.) RANK 3 NODE 3 --> 4.53415394 sigma out 1act.( 3.7420671 sig in 4act.) RANK 4 NODE 9 --> 4.46449995 sigma out 1act.( 4.22836018 sig in 4act.) RANK 5 NODE 12 --> 4.24347448 sigma out 1act.( 3.6777153 sig in 4act.) RANK 6 NODE 1 --> 3.05345774 sigma out 1act.( 2.66490269 sig in 4act.) RANK 7 NODE 4 --> 3.01074386 sigma out 1act.( 2.26194453 sig in 4act.) RANK 8 NODE 5 --> 2.95969319 sigma out 1act.( 3.01769733 sig in 4act.) RANK 9 NODE 14 --> 2.11882949 sigma out 1act.( 1.68964219 sig in 4act.) RANK 10 NODE 11 --> 2.06372023 sigma out 1act.( 1.57707751 sig in 4act.) RANK 11 NODE 7 --> 1.88248754 sigma out 1act.( 1.57696092 sig in 4act.) RANK 12 NODE 15 --> 1.21414042 sigma out 1act.( 1.47763884 sig in 4act.) RANK 13 NODE 13 --> 1.2011646 sigma out 1act.( 1.58318388 sig in 4act.) RANK 14 NODE 8 --> 0.517598748 sigma out 1act.( 0.778091609 sig in 4act.) RANK 15 NODE 2 --> 0.411310434 sigma out 1act.( 0.468316138 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.0421534 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 11.9165821 sigma out 15 active outputs RANK 2 NODE 1 --> 8.34174252 sigma out 15 active outputs RANK 3 NODE 2 --> 7.21993685 sigma out 15 active outputs RANK 4 NODE 4 --> 6.38398886 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 6.50300169 sigma in 4act. ( 5.46326971 sig out 1act.) RANK 2 NODE 6 --> 6.47143173 sigma in 4act. ( 5.05960131 sig out 1act.) RANK 3 NODE 2 --> 6.28885269 sigma in 4act. ( 3.72217679 sig out 1act.) RANK 4 NODE 5 --> 5.93697453 sigma in 4act. ( 4.04935169 sig out 1act.) RANK 5 NODE 9 --> 5.61523438 sigma in 4act. ( 4.14532471 sig out 1act.) RANK 6 NODE 10 --> 4.87175131 sigma in 4act. ( 3.7213707 sig out 1act.) RANK 7 NODE 13 --> 4.6311512 sigma in 4act. ( 2.28898191 sig out 1act.) RANK 8 NODE 3 --> 4.24562979 sigma in 4act. ( 4.28126764 sig out 1act.) RANK 9 NODE 1 --> 3.94013333 sigma in 4act. ( 2.7951715 sig out 1act.) RANK 10 NODE 7 --> 3.89909887 sigma in 4act. ( 2.27400875 sig out 1act.) RANK 11 NODE 8 --> 2.80258656 sigma in 4act. ( 0.914957881 sig out 1act.) RANK 12 NODE 14 --> 2.21915102 sigma in 4act. ( 2.47095418 sig out 1act.) RANK 13 NODE 15 --> 1.73220229 sigma in 4act. ( 0.294684023 sig out 1act.) RANK 14 NODE 4 --> 1.68270624 sigma in 4act. ( 3.07136559 sig out 1act.) RANK 15 NODE 11 --> 1.19585502 sigma in 4act. ( 1.89857399 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 5.46326971 sigma out 1act.( 6.50300169 sig in 4act.) RANK 2 NODE 6 --> 5.05960131 sigma out 1act.( 6.47143173 sig in 4act.) RANK 3 NODE 3 --> 4.28126764 sigma out 1act.( 4.24562979 sig in 4act.) RANK 4 NODE 9 --> 4.14532471 sigma out 1act.( 5.61523438 sig in 4act.) RANK 5 NODE 5 --> 4.04935169 sigma out 1act.( 5.93697453 sig in 4act.) RANK 6 NODE 2 --> 3.72217679 sigma out 1act.( 6.28885269 sig in 4act.) RANK 7 NODE 10 --> 3.7213707 sigma out 1act.( 4.87175131 sig in 4act.) RANK 8 NODE 4 --> 3.07136559 sigma out 1act.( 1.68270624 sig in 4act.) RANK 9 NODE 1 --> 2.7951715 sigma out 1act.( 3.94013333 sig in 4act.) RANK 10 NODE 14 --> 2.47095418 sigma out 1act.( 2.21915102 sig in 4act.) RANK 11 NODE 13 --> 2.28898191 sigma out 1act.( 4.6311512 sig in 4act.) RANK 12 NODE 7 --> 2.27400875 sigma out 1act.( 3.89909887 sig in 4act.) RANK 13 NODE 11 --> 1.89857399 sigma out 1act.( 1.19585502 sig in 4act.) RANK 14 NODE 8 --> 0.914957881 sigma out 1act.( 2.80258656 sig in 4act.) RANK 15 NODE 15 --> 0.294684023 sigma out 1act.( 1.73220229 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.1662951 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.568001211 *** contribution from regularisation: 0.0181428064 *** contribution from error: -0.58614403 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.609416723 *** contribution from regularisation: 0.00784284808 *** contribution from error: -0.617259562 *********************************************** -----------------> Test sample ENTER BFGS code START -4450.0815 0.741622388 0.0459988117 EXIT FROM BFGS code FG_START 0. 0.741622388 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.617124557 *** contribution from regularisation: 0.00273712724 *** contribution from error: -0.619861662 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4505.62658 0.741622388 1.91566432 EXIT FROM BFGS code FG_LNSRCH 0. 0.797603369 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.620895922 *** contribution from regularisation: 0.00546046114 *** contribution from error: -0.626356363 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4533.16134 0.797603369 -2.33712268 EXIT FROM BFGS code NEW_X -4533.16134 0.797603369 -2.33712268 ENTER BFGS code NEW_X -4533.16134 0.797603369 -2.33712268 EXIT FROM BFGS code FG_LNSRCH 0. 0.770587504 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.621316195 *** contribution from regularisation: 0.00517397514 *** contribution from error: -0.626490176 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4536.2294 0.770587504 -1.7475363 EXIT FROM BFGS code NEW_X -4536.2294 0.770587504 -1.7475363 ENTER BFGS code NEW_X -4536.2294 0.770587504 -1.7475363 EXIT FROM BFGS code FG_LNSRCH 0. 0.730086267 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.620940924 *** contribution from regularisation: 0.00454251841 *** contribution from error: -0.625483453 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4533.48948 0.730086267 -0.869319797 EXIT FROM BFGS code FG_LNSRCH 0. 0.765499115 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.620008051 *** contribution from regularisation: 0.00640077842 *** contribution from error: -0.626408815 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4526.6789 0.765499115 -1.52342355 EXIT FROM BFGS code FG_LNSRCH 0. 0.770539224 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.621115327 *** contribution from regularisation: 0.00537416199 *** contribution from error: -0.62648946 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4534.76309 0.770539224 -1.90648055 EXIT FROM BFGS code FG_LNSRCH 0. 0.770587504 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.620657265 *** contribution from regularisation: 0.00583290914 *** contribution from error: -0.626490176 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4531.41851 0.770587504 -1.75210392 EXIT FROM BFGS code FG_LNSRCH 0. 0.770587504 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 6.15230608 sigma out 15 active outputs RANK 2 NODE 1 --> 5.42703581 sigma out 15 active outputs RANK 3 NODE 2 --> 3.39581704 sigma out 15 active outputs RANK 4 NODE 4 --> 2.531389 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 3.81056476 sigma in 4act. ( 2.59769893 sig out 1act.) RANK 2 NODE 5 --> 3.55986786 sigma in 4act. ( 2.50107574 sig out 1act.) RANK 3 NODE 12 --> 3.27641082 sigma in 4act. ( 2.37058187 sig out 1act.) RANK 4 NODE 6 --> 3.20344067 sigma in 4act. ( 2.18243861 sig out 1act.) RANK 5 NODE 13 --> 3.13960481 sigma in 4act. ( 2.25005865 sig out 1act.) RANK 6 NODE 9 --> 2.39858222 sigma in 4act. ( 0.809933364 sig out 1act.) RANK 7 NODE 7 --> 2.22300601 sigma in 4act. ( 1.60959125 sig out 1act.) RANK 8 NODE 10 --> 2.05270052 sigma in 4act. ( 0.962539613 sig out 1act.) RANK 9 NODE 3 --> 1.7368865 sigma in 4act. ( 1.24235141 sig out 1act.) RANK 10 NODE 1 --> 1.6888876 sigma in 4act. ( 0.53998971 sig out 1act.) RANK 11 NODE 8 --> 1.669083 sigma in 4act. ( 1.15008271 sig out 1act.) RANK 12 NODE 14 --> 1.19618154 sigma in 4act. ( 1.11742926 sig out 1act.) RANK 13 NODE 4 --> 1.00667691 sigma in 4act. ( 1.21558166 sig out 1act.) RANK 14 NODE 15 --> 0.829573095 sigma in 4act. ( 0.284006655 sig out 1act.) RANK 15 NODE 11 --> 0.707167149 sigma in 4act. ( 0.791395545 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 2.59769893 sigma out 1act.( 3.81056476 sig in 4act.) RANK 2 NODE 5 --> 2.50107574 sigma out 1act.( 3.55986786 sig in 4act.) RANK 3 NODE 12 --> 2.37058187 sigma out 1act.( 3.27641082 sig in 4act.) RANK 4 NODE 13 --> 2.25005865 sigma out 1act.( 3.13960481 sig in 4act.) RANK 5 NODE 6 --> 2.18243861 sigma out 1act.( 3.20344067 sig in 4act.) RANK 6 NODE 7 --> 1.60959125 sigma out 1act.( 2.22300601 sig in 4act.) RANK 7 NODE 3 --> 1.24235141 sigma out 1act.( 1.7368865 sig in 4act.) RANK 8 NODE 4 --> 1.21558166 sigma out 1act.( 1.00667691 sig in 4act.) RANK 9 NODE 8 --> 1.15008271 sigma out 1act.( 1.669083 sig in 4act.) RANK 10 NODE 14 --> 1.11742926 sigma out 1act.( 1.19618154 sig in 4act.) RANK 11 NODE 10 --> 0.962539613 sigma out 1act.( 2.05270052 sig in 4act.) RANK 12 NODE 9 --> 0.809933364 sigma out 1act.( 2.39858222 sig in 4act.) RANK 13 NODE 11 --> 0.791395545 sigma out 1act.( 0.707167149 sig in 4act.) RANK 14 NODE 1 --> 0.53998971 sigma out 1act.( 1.6888876 sig in 4act.) RANK 15 NODE 15 --> 0.284006655 sigma out 1act.( 0.829573095 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 6.26203728 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.621028721 *** contribution from regularisation: 0.00546141481 *** contribution from error: -0.626490116 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4534.1308 0.770587504 -1.74180114 EXIT FROM BFGS code FG_LNSRCH 0. 0.770587504 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.621080756 *** contribution from regularisation: 0.00540939858 *** contribution from error: -0.626490176 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4534.51057 0.770587504 -1.84421694 EXIT FROM BFGS code FG_LNSRCH 0. 0.770587504 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.620732903 *** contribution from regularisation: 0.00575723732 *** contribution from error: -0.626490116 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4531.971 0.770587504 -1.73332489 EXIT FROM BFGS code NEW_X -4531.971 0.770587504 -1.73332489 ENTER BFGS code NEW_X -4531.971 0.770587504 -1.73332489 EXIT FROM BFGS code CONVERGENC -4531.971 0.770587504 -1.73332489 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 10.1540766 sigma out 15 active outputs RANK 2 NODE 1 --> 9.89518166 sigma out 15 active outputs RANK 3 NODE 2 --> 5.33107758 sigma out 15 active outputs RANK 4 NODE 4 --> 3.37625027 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 7.08713293 sigma in 4act. ( 4.37687588 sig out 1act.) RANK 2 NODE 2 --> 6.94537497 sigma in 4act. ( 5.07794189 sig out 1act.) RANK 3 NODE 13 --> 5.93621683 sigma in 4act. ( 4.19276094 sig out 1act.) RANK 4 NODE 12 --> 5.5218091 sigma in 4act. ( 4.66902971 sig out 1act.) RANK 5 NODE 6 --> 4.98369217 sigma in 4act. ( 4.47562504 sig out 1act.) RANK 6 NODE 7 --> 3.72203827 sigma in 4act. ( 2.81634927 sig out 1act.) RANK 7 NODE 9 --> 2.71903682 sigma in 4act. ( 1.62051475 sig out 1act.) RANK 8 NODE 8 --> 2.59241581 sigma in 4act. ( 1.72289896 sig out 1act.) RANK 9 NODE 3 --> 2.58069396 sigma in 4act. ( 1.99403894 sig out 1act.) RANK 10 NODE 10 --> 2.43055773 sigma in 4act. ( 1.95822358 sig out 1act.) RANK 11 NODE 1 --> 1.88557756 sigma in 4act. ( 0.983505428 sig out 1act.) RANK 12 NODE 14 --> 1.81526232 sigma in 4act. ( 1.63519263 sig out 1act.) RANK 13 NODE 4 --> 1.63901532 sigma in 4act. ( 1.74946022 sig out 1act.) RANK 14 NODE 11 --> 0.966753244 sigma in 4act. ( 1.02153277 sig out 1act.) RANK 15 NODE 15 --> 0.894944251 sigma in 4act. ( 0.364615917 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 5.07794189 sigma out 1act.( 6.94537497 sig in 4act.) RANK 2 NODE 12 --> 4.66902971 sigma out 1act.( 5.5218091 sig in 4act.) RANK 3 NODE 6 --> 4.47562504 sigma out 1act.( 4.98369217 sig in 4act.) RANK 4 NODE 5 --> 4.37687588 sigma out 1act.( 7.08713293 sig in 4act.) RANK 5 NODE 13 --> 4.19276094 sigma out 1act.( 5.93621683 sig in 4act.) RANK 6 NODE 7 --> 2.81634927 sigma out 1act.( 3.72203827 sig in 4act.) RANK 7 NODE 3 --> 1.99403894 sigma out 1act.( 2.58069396 sig in 4act.) RANK 8 NODE 10 --> 1.95822358 sigma out 1act.( 2.43055773 sig in 4act.) RANK 9 NODE 4 --> 1.74946022 sigma out 1act.( 1.63901532 sig in 4act.) RANK 10 NODE 8 --> 1.72289896 sigma out 1act.( 2.59241581 sig in 4act.) RANK 11 NODE 14 --> 1.63519263 sigma out 1act.( 1.81526232 sig in 4act.) RANK 12 NODE 9 --> 1.62051475 sigma out 1act.( 2.71903682 sig in 4act.) RANK 13 NODE 11 --> 1.02153277 sigma out 1act.( 0.966753244 sig in 4act.) RANK 14 NODE 1 --> 0.983505428 sigma out 1act.( 1.88557756 sig in 4act.) RANK 15 NODE 15 --> 0.364615917 sigma out 1act.( 0.894944251 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.5571699 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.620807886 *** contribution from regularisation: 0.00568226399 *** contribution from error: -0.626490176 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done