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= 162315 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 = 22515 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 22515 Chosen entries: 22515 Signal fraction: 1 Background fraction: 0.161051 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 22515 Entries to split: 22515 Test with : 11257 Train with : 11257 ********************************************* * 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= 22515 for Signal Prepared event 0 for Signal with 22515 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 Prepared event 10000 for Signal with 22515 events Prepared event 20000 for Signal with 22515 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 139800 for Background Prepared event 0 for Background with 139800 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.127499 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4294 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 162315 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 4294 negative weights. Signal fraction: 62.9607277 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 60.0046387 62.7832909 65.1717529 66.9103546 68.318222 69.5155106 70.3957596 71.216217 72.0149536 72.9606171 73.8118591 74.3360596 75.0751648 75.6449509 76.3149261 77.021431 77.6121597 78.3612518 78.9941483 79.5379868 80.136734 81.0086441 81.6698837 82.4141617 83.0271454 83.9721069 84.9931488 86.0402832 87.194046 88.5423584 89.7255402 91.1165543 92.456604 94.2376404 95.9944916 97.3844299 99.187088 100.755707 102.217377 104.119644 105.623886 107.022919 108.582642 110.234787 112.029617 113.930618 115.693687 117.411911 119.070236 120.684074 122.179726 123.917641 125.615234 127.44841 129.153412 130.922287 132.580292 134.315659 135.970337 137.567444 139.250763 140.88266 142.53894 144.13205 145.887375 147.630402 149.361053 151.068268 153.101334 154.876236 156.605438 158.299133 160.379196 162.315048 164.407013 166.79007 169.101288 171.326263 173.38913 175.960297 177.970688 180.667938 183.268494 186.02887 189.067291 192.419876 195.525467 199.231216 202.688171 206.778503 211.580551 216.468735 221.727997 228.521301 235.867523 244.996277 255.626862 271.280518 293.036804 327.095978 969.742371 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3627625 20.6515198 20.9612141 21.2177773 21.4907112 21.7470131 21.9950008 22.2244549 22.4368591 22.682682 22.9006271 23.114706 23.3063202 23.5626602 23.7310352 23.9098854 24.1460381 24.3897667 24.5842609 24.8263588 25.066494 25.2651463 25.4370193 25.6231499 25.8501358 26.0647469 26.3050518 26.5452843 26.7839165 26.998539 27.2230377 27.4845104 27.6925049 27.903347 28.1441307 28.3674736 28.6313248 28.8770332 29.134285 29.3688793 29.6536694 29.892498 30.1863384 30.5075703 30.7924805 31.0935955 31.4214058 31.7180443 32.0721664 32.4220047 32.7181892 33.084465 33.4991837 33.8722839 34.2692719 34.7205353 35.141201 35.5274429 35.9262733 36.3813782 36.8559036 37.4126205 37.8898621 38.4095421 38.8988495 39.2751694 39.8283997 40.3232346 40.8381538 41.4751968 41.9865417 42.5371971 43.1188889 43.7505035 44.4947052 45.0867119 45.7600899 46.3862534 47.149559 47.9651642 48.8281174 49.7696838 50.6502266 51.6033554 52.7050018 53.8797989 54.994236 55.9196625 57.0965347 58.4405136 59.823391 61.4702148 63.1505051 65.0775986 67.4407043 70.4123383 73.5285339 77.611557 86.0194397 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1003456 10.2333221 10.3439054 10.4526882 10.561202 10.7009392 10.8404198 10.9745674 11.0929108 11.2290668 11.364584 11.4742165 11.6059408 11.7535744 11.9183865 12.0755901 12.2458639 12.3801174 12.5450506 12.7188931 12.8498974 13.0149536 13.1859608 13.3660183 13.5491457 13.6965141 13.8747358 14.0600729 14.2040863 14.3632431 14.5545206 14.7704754 14.9723587 15.1491795 15.3734665 15.539959 15.7103291 15.876935 16.0592861 16.2811928 16.4918194 16.6840973 16.8705673 17.0768547 17.3042984 17.5196571 17.7323971 17.9326611 18.1450043 18.370882 18.5568962 18.7789631 19.0113335 19.2001648 19.413765 19.6236496 19.860981 20.0794945 20.258255 20.3970242 20.5958328 20.7691669 21.0045013 21.1875992 21.3718376 21.5757618 21.7873001 21.9614983 22.1366043 22.3479767 22.5773506 22.8140087 23.0370731 23.3199005 23.553297 23.7875633 24.0433922 24.3069611 24.5808258 24.8622513 25.1381187 25.4671192 25.8251038 26.2697983 26.6870441 27.0151939 27.3636169 27.7717876 28.1711426 28.696476 29.2551765 29.7518425 30.3066177 31.0909519 32.0054016 32.9441681 34.3371582 36.4209366 40.2637558 67.2960663 ------------------------------ Transdef: Tab for variable 5 1.26162112 2.6059165 3.07248974 3.37997842 3.69116497 3.95097709 4.09775162 4.22322226 4.34888935 4.47184086 4.5656271 4.65373039 4.7526989 4.84525299 4.93068457 5.00306034 5.07361126 5.14690113 5.21446609 5.27719641 5.34196377 5.39400482 5.45320606 5.50733566 5.54750252 5.59580326 5.64521217 5.69505501 5.74707174 5.79683304 5.84670162 5.89974213 5.93864727 5.98322582 6.03086376 6.07904673 6.12662935 6.17907906 6.22233057 6.26758623 6.31577206 6.35519361 6.40264034 6.44583178 6.49645519 6.54780388 6.59803438 6.645154 6.69582796 6.74307156 6.78209257 6.83564758 6.88125706 6.93349218 6.98751926 7.04522324 7.09161282 7.1556797 7.20735168 7.25402451 7.31139088 7.37098789 7.42655182 7.48364782 7.53323746 7.60349655 7.65965939 7.72324944 7.77010918 7.82843256 7.88684464 7.95040512 8.00993633 8.07550621 8.14200974 8.21124649 8.25603294 8.32589912 8.40419579 8.48174667 8.54643631 8.63181305 8.70494938 8.78409576 8.85782433 8.9464798 9.02474117 9.12140942 9.2175808 9.32158089 9.44634724 9.5608139 9.69264603 9.84812355 10.0077133 10.2219353 10.4613266 10.7848902 11.2471609 11.9905577 23.5099583 ------------------------------ Transdef: Tab for variable 6 15.0101337 20.846138 25.4694099 26.5116711 27.2960033 28.1755791 29.0319176 29.8114834 30.5987988 31.2025909 31.7625027 32.3672752 32.8869019 33.4056549 33.9291534 34.3773117 34.7506866 35.1784668 35.6411362 36.1054535 36.479351 36.8835144 37.2513809 37.6043777 37.9299812 38.2895508 38.6975555 39.007103 39.4028168 39.8038864 40.2618332 40.5315781 40.9880905 41.4253769 41.842411 42.2548294 42.7733688 43.1153374 43.5723114 44.0012054 44.5615349 45.1395683 45.8701172 46.5197792 47.1212311 47.8385162 48.3990097 49.1348572 49.8772774 50.598526 51.325386 52.2047729 53.07127 53.8845215 54.6853905 55.5494881 56.288456 57.0822563 57.9127846 58.5359535 59.3559952 60.1486893 61.0035553 61.7738228 62.7107925 63.5742645 64.5259399 65.3362503 66.1840057 67.0154724 67.9179916 68.8632431 69.6314392 70.616394 71.5332947 72.3908234 73.2454834 74.2339096 75.1318588 75.948761 76.9871216 78.0278854 79.1956177 80.4382935 81.5890732 82.7846222 84.190361 85.6273499 87.0106506 88.6894913 90.308136 92.1962891 94.3302536 96.6017456 99.1799545 102.307304 105.893341 111.417473 119.639221 133.002914 333.883636 ------------------------------ Transdef: Tab for variable 7 30.1476021 33.0121078 33.8336029 34.5213127 35.1659431 35.6616783 36.1095581 36.4685707 36.8668938 37.2198715 37.6132164 37.9641228 38.2375336 38.5810051 38.8592377 39.1158524 39.3829956 39.6855202 40.0374146 40.3405838 40.6849518 41.0897446 41.4418907 41.8209648 42.1673012 42.6894989 43.1443634 43.7306252 44.4337387 45.0966263 45.7325363 46.4697037 47.1920624 48.2054977 49.1816864 50.4258575 51.4625244 52.5383606 53.5628929 54.5997849 55.7859383 56.7894249 57.6863174 58.7495041 59.5964851 60.6152573 61.1815758 61.8859558 62.8283691 63.870018 64.7811432 65.6244354 66.678688 67.5812988 68.6053162 69.6282883 70.4871674 71.4417114 72.3647156 73.3694611 74.4129944 75.4841995 76.6078644 77.5874863 78.6280365 79.7603912 80.8636475 82.0075989 83.1850662 84.387146 85.6431503 87.0312271 88.5181274 90.0820465 91.6748199 93.3615875 94.9428787 96.6323776 98.3209229 100.268044 102.116837 104.204559 106.144356 108.553833 110.82225 113.504669 116.383728 118.951935 122.045998 125.169876 129.054367 133.726761 137.490509 142.572006 148.327667 155.505737 164.926514 175.558014 193.248352 223.766998 581.356873 ------------------------------ Transdef: Tab for variable 8 2.86805725 24.437088 28.9100246 30.8549442 31.964756 32.8365402 33.2982826 33.8563805 34.266346 34.700386 35.0683823 35.4143677 35.7577477 36.0767441 36.4225616 36.6981544 37.0673218 37.338726 37.6205673 37.8672791 38.1660652 38.4529724 38.6675835 38.9162598 39.2007904 39.4751587 39.7364235 40.0773048 40.3763695 40.7108192 41.0589142 41.3548775 41.7602615 42.1324005 42.5802689 43.0382309 43.5612717 44.0068588 44.5044861 45.0345001 45.6234055 46.1690903 46.8271637 47.4788284 48.1096725 48.7952423 49.4700699 50.2322083 50.9388428 51.6700745 52.4404144 53.0254517 53.7094879 54.4608917 55.2885742 56.0597153 56.8284378 57.6254196 58.3704491 59.1643867 59.9133263 60.6005974 61.0991211 61.7652321 62.5994415 63.4587326 64.2314682 64.9272461 65.6260529 66.4965363 67.2377777 68.0860519 68.9663696 69.7629089 70.5296021 71.4367676 72.2736588 73.2067413 74.2045517 75.1409302 76.1577759 77.0565033 78.0628662 79.1521759 80.2223053 81.4463882 82.7020569 84.0086975 85.4893188 86.9809189 88.7578354 90.6339035 92.5391541 94.8707275 97.8630066 101.187851 105.489441 110.876793 118.350098 132.333252 367.914398 ------------------------------ Transdef: Tab for variable 9 49.6214828 62.5414734 64.4274597 66.3424072 67.6620331 68.611824 69.6569519 70.470993 71.2104187 71.9014206 72.8000336 73.5333939 74.0536499 74.6957321 75.2985229 75.7668304 76.422226 77.0104065 77.5373383 78.1446228 78.6911621 79.2657776 79.7375336 80.2808533 81.0086441 81.5566711 82.1891479 82.6851959 83.4151764 84.1714172 85.0196228 85.8667831 86.6900024 87.414978 88.4739609 89.4073563 90.425766 91.5146637 92.6587372 94.0093842 95.3629074 96.6611633 98.0849686 99.3729248 100.755707 102.016983 103.630829 105.18634 106.409637 107.713982 109.101715 110.455925 111.969093 113.831787 115.421715 116.738945 118.204079 119.433487 120.466995 121.77272 123.080406 124.562057 125.783829 127.288567 128.633148 129.901505 131.14798 132.407745 133.614655 134.99939 136.136658 137.495956 138.807312 140.14061 141.353119 142.55368 143.939392 145.118469 146.689636 148.147064 149.580811 151.031738 152.756165 154.365494 155.996414 157.58078 159.588593 161.379974 163.219574 165.382812 167.628738 170.280807 172.545135 175.576477 178.649048 182.626343 186.940063 192.226501 199.082916 212.156616 495.180115 ------------------------------ Transdef: Tab for variable 10 0.00843621232 1.09859562 1.37483394 1.57866836 1.73798406 1.85852838 1.96074665 2.04562616 2.11815047 2.1875031 2.24034309 2.28681612 2.33049393 2.36748552 2.41046548 2.44318748 2.47693682 2.5089221 2.53852129 2.56304693 2.58899736 2.61234093 2.63540149 2.65774441 2.68151069 2.70200562 2.72111225 2.73866749 2.75665092 2.773592 2.78897691 2.80435419 2.81837916 2.83063197 2.84290218 2.85294867 2.86368132 2.87388372 2.88216305 2.89287376 2.90160942 2.90997601 2.91687441 2.92407656 2.93140793 2.93840981 2.9457643 2.95212173 2.95931149 2.96600628 2.97342873 2.97844458 2.98348761 2.98873305 2.99326205 2.99792862 3.00286674 3.00763202 3.01236415 3.01608229 3.02037048 3.02445102 3.0285778 3.03228951 3.03650856 3.04043245 3.04447651 3.04863906 3.05259657 3.05636168 3.05994558 3.06355715 3.06710196 3.07069302 3.07341957 3.07640409 3.07892418 3.08227539 3.08529735 3.08847356 3.09164667 3.09486675 3.09766173 3.10015011 3.10250521 3.10548878 3.10811949 3.11044025 3.11300588 3.11560869 3.11793947 3.1201067 3.12288356 3.12536049 3.12775993 3.13012338 3.13200498 3.13408709 3.1364646 3.13892269 3.14159226 ------------------------------ Transdef: Tab for variable 11 3.87430191E-06 0.00584130781 0.0103697004 0.0162172355 0.0220093727 0.0286219269 0.0354459882 0.0441161394 0.0526676178 0.0585365221 0.067912817 0.0752460361 0.0826215148 0.0897210836 0.0968826637 0.105032146 0.111433268 0.118825674 0.125332117 0.132463098 0.139175117 0.145005465 0.1525729 0.159055352 0.165710807 0.172000021 0.178069711 0.184157968 0.190531224 0.196348071 0.201746583 0.206721544 0.212452188 0.217707425 0.222519875 0.228382051 0.23341465 0.238925368 0.24474138 0.250253379 0.255240202 0.260677099 0.265641004 0.270356715 0.27567035 0.28047961 0.285520911 0.290113091 0.295764327 0.302001715 0.307256401 0.313461781 0.318526745 0.32356292 0.329452753 0.334742785 0.340233803 0.346151829 0.350868851 0.356597662 0.36263442 0.368739545 0.374263406 0.380562007 0.386789322 0.392122447 0.398528695 0.404215455 0.410611451 0.417315483 0.423297644 0.429044008 0.436044753 0.441094249 0.447829366 0.454524934 0.460853428 0.46730265 0.47472012 0.481357574 0.490953684 0.500561476 0.509714127 0.51826781 0.5265342 0.53496623 0.545415938 0.555461168 0.566675901 0.579477727 0.593346477 0.609532118 0.626306534 0.643082619 0.659711242 0.681109667 0.71007216 0.73941648 0.78011322 0.849903584 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.213148385 0.223204374 0.234002739 0.243975192 0.251968801 0.257870197 0.266055793 0.273508847 0.279941142 0.286289215 0.292901635 0.29975155 0.306201398 0.312186241 0.31786713 0.323549986 0.329378009 0.33488673 0.340203166 0.345842123 0.350740135 0.35582453 0.360720575 0.36617732 0.371976614 0.376880735 0.382266045 0.387524605 0.392186701 0.396686345 0.401174724 0.405208737 0.408956289 0.412617326 0.4159922 0.419546306 0.422936708 0.427166641 0.431076288 0.434711218 0.438584596 0.442582011 0.445944935 0.449987411 0.454470515 0.45811975 0.461280942 0.465620279 0.469691902 0.473445654 0.476502419 0.479671061 0.483809948 0.488630891 0.492555678 0.496752471 0.500602722 0.505411983 0.509562731 0.514407933 0.518899202 0.52374357 0.528551221 0.533377528 0.538215935 0.543616295 0.548899174 0.554501295 0.559589684 0.564729929 0.569993138 0.576118231 0.580064654 0.58595562 0.592436314 0.600256801 0.606510401 0.614087582 0.621392965 0.629573166 0.637066841 0.645974159 0.654209614 0.664041758 0.672714889 0.680296838 0.691809058 0.701008141 0.712915421 0.72467339 0.736443281 0.74927181 0.762512565 0.776714444 0.792335272 0.810446799 0.833519936 0.867364824 0.909640908 1.13414526 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.5591049 22.4478912 23.1142082 23.6593132 24.1877708 24.71735 25.242363 25.7092133 26.1576538 26.6131325 27.0719147 27.4637184 27.8774605 28.2845707 28.698452 29.1379967 29.502655 29.8330879 30.1575356 30.5606499 30.8753853 31.1967773 31.6049366 31.9338589 32.2802124 32.6044807 33.0389137 33.4531593 33.8460236 34.3254814 34.637413 35.0347443 35.3686371 35.782608 36.1673698 36.5063858 36.9572868 37.3427505 37.7918396 38.2244492 38.6737137 39.2074776 39.6076279 40.0738144 40.608345 41.10849 41.5996475 42.1407471 42.6532516 43.1351471 43.5879288 44.1308289 44.6768723 45.2155228 45.8503342 46.3802032 46.9659615 47.5885239 48.1157837 48.7475052 49.3957863 50.0755501 50.7516098 51.3711166 52.0375404 52.6647644 53.3745117 54.1832504 54.9326248 55.6013565 56.3839569 57.0422897 57.8884354 58.7132187 59.5184402 60.2961884 61.118576 62.0832825 62.804245 63.8088875 64.748764 65.9687576 66.9880066 68.2978821 69.5736694 70.9593506 72.2589874 73.6663513 75.3022919 76.8126984 78.7382736 80.6990814 82.8011475 85.3559875 87.6062622 90.8655701 95.5263367 102.157898 114.049515 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.5960503 11.1135654 11.4971428 11.8401318 12.2418213 12.5618763 12.9205074 13.2909069 13.6038799 13.8960476 14.2001381 14.4939423 14.783061 15.0913925 15.3890438 15.6764269 15.9287395 16.2394218 16.4787045 16.7611942 17.0022621 17.2761879 17.5424004 17.7917862 18.0412769 18.262825 18.5098591 18.7775955 19.0634308 19.2634201 19.5319653 19.799099 20.0712433 20.3154659 20.5785751 20.8092155 21.0537262 21.2709141 21.48489 21.7119999 21.9346371 22.1397152 22.3569546 22.5879631 22.8193245 23.0202942 23.2357597 23.4777946 23.6942101 23.9263363 24.1844978 24.444458 24.6846542 24.9183617 25.1467686 25.3756218 25.5655937 25.7936687 26.0482216 26.3139133 26.5774441 26.8391171 27.1204357 27.3745632 27.6217537 27.8509865 28.1172886 28.4361458 28.7545109 29.0444736 29.3283939 29.6486893 29.994503 30.3264294 30.6794662 31.0354271 31.3860798 31.7331276 32.1141281 32.5751724 33.0575447 33.4978371 33.9987335 34.5385818 35.0727119 35.6700592 36.3410797 37.0118942 37.6731377 38.5421295 39.5390167 40.3880615 41.6528397 43.0244751 44.7310867 47.1798439 49.9012985 53.9489441 60.2332077 122.221924 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 66.8 51.5 49.3 33.0 51.2 64.1 55.8 64.9 -27.8 -17.0 -39.5 19.0 14.8 2 66.8 100.0 69.2 54.5 41.9 72.2 94.5 77.2 92.4 -42.3 -25.2 -52.0 38.3 23.0 3 51.5 69.2 100.0 38.4 22.7 44.6 70.3 60.9 77.4 -10.4 -27.1 -58.1 69.6 14.1 4 49.3 54.5 38.4 100.0 12.4 32.1 57.2 44.8 56.2 -14.6 -27.6 -58.1 17.0 66.4 5 33.0 41.9 22.7 12.4 100.0 85.2 14.8 62.3 62.0 22.1 -9.4 -15.7 7.3 -2.5 6 51.2 72.2 44.6 32.1 85.2 100.0 51.9 81.1 82.2 -6.7 -17.1 -33.2 21.2 8.7 7 64.1 94.5 70.3 57.2 14.8 51.9 100.0 68.6 81.1 -51.4 -24.1 -52.4 41.0 27.0 8 55.8 77.2 60.9 44.8 62.3 81.1 68.6 100.0 85.2 -9.1 -24.6 -46.1 34.9 18.9 9 64.9 92.4 77.4 56.2 62.0 82.2 81.1 85.2 100.0 -17.8 -28.1 -57.3 45.8 24.2 10 -27.8 -42.3 -10.4 -14.6 22.1 -6.7 -51.4 -9.1 -17.8 100.0 2.9 9.1 -0.8 -4.4 11 -17.0 -25.2 -27.1 -27.6 -9.4 -17.1 -24.1 -24.6 -28.1 2.9 100.0 54.2 -14.0 -15.9 12 -39.5 -52.0 -58.1 -58.1 -15.7 -33.2 -52.4 -46.1 -57.3 9.1 54.2 100.0 -34.0 -29.7 13 19.0 38.3 69.6 17.0 7.3 21.2 41.0 34.9 45.8 -0.8 -14.0 -34.0 100.0 40.6 14 14.8 23.0 14.1 66.4 -2.5 8.7 27.0 18.9 24.2 -4.4 -15.9 -29.7 40.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 167.031705 TOTAL CORRELATION OF ALL VARIABLES 72.5687052 ROUND 1: MAX CORR ( 72.5681757) AFTER KILLING INPUT VARIABLE 8 CONTR 0.27722809 ROUND 2: MAX CORR ( 72.5642543) AFTER KILLING INPUT VARIABLE 6 CONTR 0.754397196 ROUND 3: MAX CORR ( 72.5522521) AFTER KILLING INPUT VARIABLE 2 CONTR 1.31974431 ROUND 4: MAX CORR ( 72.5381054) AFTER KILLING INPUT VARIABLE 11 CONTR 1.43267041 ROUND 5: MAX CORR ( 72.4383493) AFTER KILLING INPUT VARIABLE 12 CONTR 3.80293052 ROUND 6: MAX CORR ( 72.2547552) AFTER KILLING INPUT VARIABLE 13 CONTR 5.15410518 ROUND 7: MAX CORR ( 71.8441499) AFTER KILLING INPUT VARIABLE 10 CONTR 7.69205927 ROUND 8: MAX CORR ( 71.3493634) AFTER KILLING INPUT VARIABLE 9 CONTR 8.41725692 ROUND 9: MAX CORR ( 71.1789345) AFTER KILLING INPUT VARIABLE 3 CONTR 4.92858476 ROUND 10: MAX CORR ( 69.8766372) AFTER KILLING INPUT VARIABLE 14 CONTR 13.5534603 ROUND 11: MAX CORR ( 68.391603) AFTER KILLING INPUT VARIABLE 4 CONTR 14.3294474 ROUND 12: MAX CORR ( 64.1116609) AFTER KILLING INPUT VARIABLE 5 CONTR 23.8139938 LAST REMAINING VARIABLE: 7 total correlation to target: 72.5687052 % total significance: 97.2539845 sigma correlations of single variables to target: variable 2: 66.7838119 % , in sigma: 89.5012773 variable 3: 51.4885558 % , in sigma: 69.0031218 variable 4: 49.3494868 % , in sigma: 66.136418 variable 5: 33.042906 % , in sigma: 44.2829214 variable 6: 51.2273267 % , in sigma: 68.6530319 variable 7: 64.1116609 % , in sigma: 85.920156 variable 8: 55.7564189 % , in sigma: 74.7227594 variable 9: 64.8949962 % , in sigma: 86.969954 variable 10: -27.8323432 % , in sigma: 37.2999114 variable 11: -16.9692619 % , in sigma: 22.7415981 variable 12: -39.5176186 % , in sigma: 52.9600998 variable 13: 19.0412902 % , in sigma: 25.5184564 variable 14: 14.8238028 % , in sigma: 19.8663306 variables sorted by significance: 1 most relevant variable 7 corr 64.1116638 , in sigma: 85.9201599 2 most relevant variable 5 corr 23.8139935 , in sigma: 31.9146627 3 most relevant variable 4 corr 14.3294477 , in sigma: 19.2038136 4 most relevant variable 14 corr 13.5534601 , in sigma: 18.1638627 5 most relevant variable 3 corr 4.92858458 , in sigma: 6.60511286 6 most relevant variable 9 corr 8.41725731 , in sigma: 11.2805073 7 most relevant variable 10 corr 7.69205904 , in sigma: 10.3086225 8 most relevant variable 13 corr 5.15410519 , in sigma: 6.90734752 9 most relevant variable 12 corr 3.80293059 , in sigma: 5.09655163 10 most relevant variable 11 corr 1.43267035 , in sigma: 1.92001359 11 most relevant variable 2 corr 1.31974435 , in sigma: 1.7686742 12 most relevant variable 6 corr 0.754397213 , in sigma: 1.01101618 13 most relevant variable 8 corr 0.277228087 , in sigma: 0.371531172 global correlations between input variables: variable 2: 99.2550829 % variable 3: 94.2145303 % variable 4: 90.2450684 % variable 5: 95.6600864 % variable 6: 95.0043664 % variable 7: 98.8614707 % variable 8: 90.8009228 % variable 9: 98.9276627 % variable 10: 72.4668914 % variable 11: 55.5210454 % variable 12: 77.6821942 % variable 13: 87.2983933 % variable 14: 86.1911014 % significance loss when removing single variables: variable 2: corr = 1.14406635 % , sigma = 1.53323682 variable 3: corr = 12.0370006 % , sigma = 16.131558 variable 4: corr = 15.0872813 % , sigma = 20.2194351 variable 5: corr = 12.3974775 % , sigma = 16.6146561 variable 6: corr = 0.611623495 % , sigma = 0.819675943 variable 7: corr = 6.77091309 % , sigma = 9.07413567 variable 8: corr = 0.27722809 % , sigma = 0.371531176 variable 9: corr = 6.34300914 % , sigma = 8.5006741 variable 10: corr = 6.9924621 % , sigma = 9.37104773 variable 11: corr = 1.45615017 % , sigma = 1.9514804 variable 12: corr = 2.68883424 % , sigma = 3.60347953 variable 13: corr = 5.15976103 % , sigma = 6.91492727 variable 14: corr = 5.3299958 % , sigma = 7.14306983 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 10.9702291 sigma out 15 active outputs RANK 2 NODE 1 --> 9.83973122 sigma out 15 active outputs RANK 3 NODE 8 --> 9.46713066 sigma out 15 active outputs RANK 4 NODE 5 --> 8.91039944 sigma out 15 active outputs RANK 5 NODE 2 --> 8.46848679 sigma out 15 active outputs RANK 6 NODE 7 --> 8.00930023 sigma out 15 active outputs RANK 7 NODE 9 --> 7.74399328 sigma out 15 active outputs RANK 8 NODE 3 --> 7.69696665 sigma out 15 active outputs RANK 9 NODE 10 --> 7.54335356 sigma out 15 active outputs RANK 10 NODE 6 --> 7.19140911 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 13.9051762 sigma in 10act. ( 14.5317993 sig out 1act.) RANK 2 NODE 1 --> 11.2833014 sigma in 10act. ( 11.2589445 sig out 1act.) RANK 3 NODE 12 --> 9.44003773 sigma in 10act. ( 10.2875938 sig out 1act.) RANK 4 NODE 15 --> 8.30074978 sigma in 10act. ( 8.16632938 sig out 1act.) RANK 5 NODE 13 --> 7.56312561 sigma in 10act. ( 8.23574924 sig out 1act.) RANK 6 NODE 10 --> 7.45597267 sigma in 10act. ( 8.34886646 sig out 1act.) RANK 7 NODE 4 --> 6.33022499 sigma in 10act. ( 7.38283253 sig out 1act.) RANK 8 NODE 3 --> 6.11466551 sigma in 10act. ( 6.10595465 sig out 1act.) RANK 9 NODE 9 --> 5.46370506 sigma in 10act. ( 4.23557472 sig out 1act.) RANK 10 NODE 6 --> 5.07751799 sigma in 10act. ( 5.52612495 sig out 1act.) RANK 11 NODE 8 --> 3.91006303 sigma in 10act. ( 4.26858473 sig out 1act.) RANK 12 NODE 2 --> 2.13432717 sigma in 10act. ( 2.26563191 sig out 1act.) RANK 13 NODE 5 --> 1.83456767 sigma in 10act. ( 1.70985389 sig out 1act.) RANK 14 NODE 7 --> 1.21422946 sigma in 10act. ( 1.11935031 sig out 1act.) RANK 15 NODE 14 --> 0.793330908 sigma in 10act. ( 0.62637347 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 14.5317993 sigma out 1act.( 13.9051762 sig in 10act.) RANK 2 NODE 1 --> 11.2589445 sigma out 1act.( 11.2833014 sig in 10act.) RANK 3 NODE 12 --> 10.2875938 sigma out 1act.( 9.44003773 sig in 10act.) RANK 4 NODE 10 --> 8.34886646 sigma out 1act.( 7.45597267 sig in 10act.) RANK 5 NODE 13 --> 8.23574924 sigma out 1act.( 7.56312561 sig in 10act.) RANK 6 NODE 15 --> 8.16632938 sigma out 1act.( 8.30074978 sig in 10act.) RANK 7 NODE 4 --> 7.38283253 sigma out 1act.( 6.33022499 sig in 10act.) RANK 8 NODE 3 --> 6.10595465 sigma out 1act.( 6.11466551 sig in 10act.) RANK 9 NODE 6 --> 5.52612495 sigma out 1act.( 5.07751799 sig in 10act.) RANK 10 NODE 8 --> 4.26858473 sigma out 1act.( 3.91006303 sig in 10act.) RANK 11 NODE 9 --> 4.23557472 sigma out 1act.( 5.46370506 sig in 10act.) RANK 12 NODE 2 --> 2.26563191 sigma out 1act.( 2.13432717 sig in 10act.) RANK 13 NODE 5 --> 1.70985389 sigma out 1act.( 1.83456767 sig in 10act.) RANK 14 NODE 7 --> 1.11935031 sigma out 1act.( 1.21422946 sig in 10act.) RANK 15 NODE 14 --> 0.62637347 sigma out 1act.( 0.793330908 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 28.5688915 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 27.1029053 sigma out 15 active outputs RANK 2 NODE 9 --> 13.942874 sigma out 15 active outputs RANK 3 NODE 8 --> 12.7852955 sigma out 15 active outputs RANK 4 NODE 1 --> 12.3600397 sigma out 15 active outputs RANK 5 NODE 4 --> 12.1228209 sigma out 15 active outputs RANK 6 NODE 7 --> 10.7359724 sigma out 15 active outputs RANK 7 NODE 3 --> 10.0840044 sigma out 15 active outputs RANK 8 NODE 5 --> 9.08243084 sigma out 15 active outputs RANK 9 NODE 10 --> 8.68326092 sigma out 15 active outputs RANK 10 NODE 6 --> 8.37626266 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 15.8244505 sigma in 10act. ( 6.6760025 sig out 1act.) RANK 2 NODE 7 --> 14.7877369 sigma in 10act. ( 5.72677135 sig out 1act.) RANK 3 NODE 11 --> 14.4048395 sigma in 10act. ( 13.2062092 sig out 1act.) RANK 4 NODE 1 --> 11.9933968 sigma in 10act. ( 10.3818922 sig out 1act.) RANK 5 NODE 2 --> 11.5519629 sigma in 10act. ( 4.99076939 sig out 1act.) RANK 6 NODE 12 --> 11.3027735 sigma in 10act. ( 10.5439606 sig out 1act.) RANK 7 NODE 4 --> 11.1474371 sigma in 10act. ( 8.10860443 sig out 1act.) RANK 8 NODE 10 --> 10.9370241 sigma in 10act. ( 9.25047207 sig out 1act.) RANK 9 NODE 13 --> 10.6055231 sigma in 10act. ( 9.30197144 sig out 1act.) RANK 10 NODE 5 --> 9.62669563 sigma in 10act. ( 3.64585471 sig out 1act.) RANK 11 NODE 8 --> 8.79678631 sigma in 10act. ( 6.64189911 sig out 1act.) RANK 12 NODE 3 --> 8.60444164 sigma in 10act. ( 6.47439146 sig out 1act.) RANK 13 NODE 15 --> 8.25230598 sigma in 10act. ( 7.43106174 sig out 1act.) RANK 14 NODE 6 --> 7.62392998 sigma in 10act. ( 7.1385417 sig out 1act.) RANK 15 NODE 9 --> 5.37188005 sigma in 10act. ( 2.27618742 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 13.2062092 sigma out 1act.( 14.4048395 sig in 10act.) RANK 2 NODE 12 --> 10.5439606 sigma out 1act.( 11.3027735 sig in 10act.) RANK 3 NODE 1 --> 10.3818922 sigma out 1act.( 11.9933968 sig in 10act.) RANK 4 NODE 13 --> 9.30197144 sigma out 1act.( 10.6055231 sig in 10act.) RANK 5 NODE 10 --> 9.25047207 sigma out 1act.( 10.9370241 sig in 10act.) RANK 6 NODE 4 --> 8.10860443 sigma out 1act.( 11.1474371 sig in 10act.) RANK 7 NODE 15 --> 7.43106174 sigma out 1act.( 8.25230598 sig in 10act.) RANK 8 NODE 6 --> 7.1385417 sigma out 1act.( 7.62392998 sig in 10act.) RANK 9 NODE 14 --> 6.6760025 sigma out 1act.( 15.8244505 sig in 10act.) RANK 10 NODE 8 --> 6.64189911 sigma out 1act.( 8.79678631 sig in 10act.) RANK 11 NODE 3 --> 6.47439146 sigma out 1act.( 8.60444164 sig in 10act.) RANK 12 NODE 7 --> 5.72677135 sigma out 1act.( 14.7877369 sig in 10act.) RANK 13 NODE 2 --> 4.99076939 sigma out 1act.( 11.5519629 sig in 10act.) RANK 14 NODE 5 --> 3.64585471 sigma out 1act.( 9.62669563 sig in 10act.) RANK 15 NODE 9 --> 2.27618742 sigma out 1act.( 5.37188005 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 30.7273197 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.552976191 *** contribution from regularisation: 0.00712489663 *** contribution from error: -0.560101092 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.601919234 *** contribution from regularisation: 0.00207785028 *** contribution from error: -0.603997111 *********************************************** -----------------> Test sample ENTER BFGS code START -48858.0748 -0.141855553 0.0248948745 EXIT FROM BFGS code FG_START 0. -0.141855553 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.614327669 *** contribution from regularisation: 0.00193253206 *** contribution from error: -0.616260231 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -49856.9906 -0.141855553 -19.3773937 EXIT FROM BFGS code FG_LNSRCH 0. -0.168555319 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.615289032 *** contribution from regularisation: 0.00276271021 *** contribution from error: -0.618051767 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49935.0112 -0.168555319 -18.7308273 EXIT FROM BFGS code NEW_X -49935.0112 -0.168555319 -18.7308273 ENTER BFGS code NEW_X -49935.0112 -0.168555319 -18.7308273 EXIT FROM BFGS code FG_LNSRCH 0. -0.172426611 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.619455636 *** contribution from regularisation: 0.00254412275 *** contribution from error: -0.621999741 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50273.1629 -0.172426611 -8.66839695 EXIT FROM BFGS code NEW_X -50273.1629 -0.172426611 -8.66839695 ENTER BFGS code NEW_X -50273.1629 -0.172426611 -8.66839695 EXIT FROM BFGS code FG_LNSRCH 0. -0.179191038 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.619839728 *** contribution from regularisation: 0.00251358538 *** contribution from error: -0.622353315 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50304.3305 -0.179191038 -4.74627924 EXIT FROM BFGS code NEW_X -50304.3305 -0.179191038 -4.74627924 ENTER BFGS code NEW_X -50304.3305 -0.179191038 -4.74627924 EXIT FROM BFGS code FG_LNSRCH 0. -0.187263817 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.620010674 *** contribution from regularisation: 0.00247830292 *** contribution from error: -0.622488976 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50318.2066 -0.187263817 -0.791155159 EXIT FROM BFGS code NEW_X -50318.2066 -0.187263817 -0.791155159 ENTER BFGS code NEW_X -50318.2066 -0.187263817 -0.791155159 EXIT FROM BFGS code FG_LNSRCH 0. -0.203747705 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.620221436 *** contribution from regularisation: 0.00235320814 *** contribution from error: -0.622574627 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50335.3117 -0.203747705 3.80677724 EXIT FROM BFGS code NEW_X -50335.3117 -0.203747705 3.80677724 ENTER BFGS code NEW_X -50335.3117 -0.203747705 3.80677724 EXIT FROM BFGS code FG_LNSRCH 0. -0.219247475 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.620136499 *** contribution from regularisation: 0.00226766383 *** contribution from error: -0.622404158 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50328.4183 -0.219247475 8.936306 EXIT FROM BFGS code FG_LNSRCH 0. -0.206480175 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 21.3305931 sigma out 15 active outputs RANK 2 NODE 1 --> 11.188549 sigma out 15 active outputs RANK 3 NODE 8 --> 10.0293951 sigma out 15 active outputs RANK 4 NODE 9 --> 9.52948761 sigma out 15 active outputs RANK 5 NODE 3 --> 6.62506676 sigma out 15 active outputs RANK 6 NODE 7 --> 6.60287762 sigma out 15 active outputs RANK 7 NODE 4 --> 6.27015591 sigma out 15 active outputs RANK 8 NODE 10 --> 5.09775686 sigma out 15 active outputs RANK 9 NODE 5 --> 4.500772 sigma out 15 active outputs RANK 10 NODE 6 --> 4.43917465 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 13.5950985 sigma in 10act. ( 8.72968483 sig out 1act.) RANK 2 NODE 7 --> 11.5850229 sigma in 10act. ( 7.42829466 sig out 1act.) RANK 3 NODE 11 --> 8.83645439 sigma in 10act. ( 6.88081026 sig out 1act.) RANK 4 NODE 13 --> 8.4988327 sigma in 10act. ( 6.04540586 sig out 1act.) RANK 5 NODE 10 --> 8.44972134 sigma in 10act. ( 5.91041946 sig out 1act.) RANK 6 NODE 2 --> 8.3938961 sigma in 10act. ( 5.04115105 sig out 1act.) RANK 7 NODE 4 --> 7.89233208 sigma in 10act. ( 5.2027626 sig out 1act.) RANK 8 NODE 8 --> 7.63998604 sigma in 10act. ( 4.68517685 sig out 1act.) RANK 9 NODE 3 --> 7.03412151 sigma in 10act. ( 5.63696003 sig out 1act.) RANK 10 NODE 5 --> 6.78460884 sigma in 10act. ( 3.39854741 sig out 1act.) RANK 11 NODE 1 --> 6.15442896 sigma in 10act. ( 4.53805161 sig out 1act.) RANK 12 NODE 12 --> 5.9642539 sigma in 10act. ( 4.44324112 sig out 1act.) RANK 13 NODE 15 --> 5.6309309 sigma in 10act. ( 4.41019106 sig out 1act.) RANK 14 NODE 6 --> 5.05718613 sigma in 10act. ( 3.42897201 sig out 1act.) RANK 15 NODE 9 --> 2.4949441 sigma in 10act. ( 0.316535503 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 8.72968483 sigma out 1act.( 13.5950985 sig in 10act.) RANK 2 NODE 7 --> 7.42829466 sigma out 1act.( 11.5850229 sig in 10act.) RANK 3 NODE 11 --> 6.88081026 sigma out 1act.( 8.83645439 sig in 10act.) RANK 4 NODE 13 --> 6.04540586 sigma out 1act.( 8.4988327 sig in 10act.) RANK 5 NODE 10 --> 5.91041946 sigma out 1act.( 8.44972134 sig in 10act.) RANK 6 NODE 3 --> 5.63696003 sigma out 1act.( 7.03412151 sig in 10act.) RANK 7 NODE 4 --> 5.2027626 sigma out 1act.( 7.89233208 sig in 10act.) RANK 8 NODE 2 --> 5.04115105 sigma out 1act.( 8.3938961 sig in 10act.) RANK 9 NODE 8 --> 4.68517685 sigma out 1act.( 7.63998604 sig in 10act.) RANK 10 NODE 1 --> 4.53805161 sigma out 1act.( 6.15442896 sig in 10act.) RANK 11 NODE 12 --> 4.44324112 sigma out 1act.( 5.9642539 sig in 10act.) RANK 12 NODE 15 --> 4.41019106 sigma out 1act.( 5.6309309 sig in 10act.) RANK 13 NODE 6 --> 3.42897201 sigma out 1act.( 5.05718613 sig in 10act.) RANK 14 NODE 5 --> 3.39854741 sigma out 1act.( 6.78460884 sig in 10act.) RANK 15 NODE 9 --> 0.316535503 sigma out 1act.( 2.4949441 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 20.9669952 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.619674921 *** contribution from regularisation: 0.0028901184 *** contribution from error: -0.622565031 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50290.9583 -0.206480175 4.39002562 EXIT FROM BFGS code FG_LNSRCH 0. -0.203793719 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.620152235 *** contribution from regularisation: 0.00242233439 *** contribution from error: -0.622574568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50329.6957 -0.203793719 3.76684475 EXIT FROM BFGS code FG_LNSRCH 0. -0.203747809 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.61999619 *** contribution from regularisation: 0.00257844897 *** contribution from error: -0.622574627 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50317.0318 -0.203747809 3.66538382 EXIT FROM BFGS code FG_LNSRCH 0. -0.203747705 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.620085239 *** contribution from regularisation: 0.00248939754 *** contribution from error: -0.622574627 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50324.2589 -0.203747705 3.69275904 EXIT FROM BFGS code FG_LNSRCH 0. -0.203747705 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.620047033 *** contribution from regularisation: 0.00252760551 *** contribution from error: -0.622574627 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50321.1581 -0.203747705 3.66226196 EXIT FROM BFGS code FG_LNSRCH 0. -0.203747705 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.620055497 *** contribution from regularisation: 0.0025191668 *** contribution from error: -0.622574687 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50321.8429 -0.203747705 3.66721463 EXIT FROM BFGS code NEW_X -50321.8429 -0.203747705 3.66721463 ENTER BFGS code NEW_X -50321.8429 -0.203747705 3.66721463 EXIT FROM BFGS code CONVERGENC -50321.8429 -0.203747705 3.66721463 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 34.4644279 sigma out 15 active outputs RANK 2 NODE 1 --> 20.5842037 sigma out 15 active outputs RANK 3 NODE 8 --> 18.2999287 sigma out 15 active outputs RANK 4 NODE 9 --> 16.5891628 sigma out 15 active outputs RANK 5 NODE 3 --> 12.0381498 sigma out 15 active outputs RANK 6 NODE 4 --> 11.7891312 sigma out 15 active outputs RANK 7 NODE 7 --> 11.3705149 sigma out 15 active outputs RANK 8 NODE 10 --> 9.03233147 sigma out 15 active outputs RANK 9 NODE 5 --> 7.97663975 sigma out 15 active outputs RANK 10 NODE 6 --> 7.84784269 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 23.4120922 sigma in 10act. ( 17.5692101 sig out 1act.) RANK 2 NODE 7 --> 18.7474823 sigma in 10act. ( 14.933609 sig out 1act.) RANK 3 NODE 11 --> 16.8763237 sigma in 10act. ( 13.8637257 sig out 1act.) RANK 4 NODE 13 --> 15.8878088 sigma in 10act. ( 12.148284 sig out 1act.) RANK 5 NODE 10 --> 15.6561403 sigma in 10act. ( 11.9468441 sig out 1act.) RANK 6 NODE 8 --> 14.0461798 sigma in 10act. ( 9.47865105 sig out 1act.) RANK 7 NODE 4 --> 13.4710846 sigma in 10act. ( 10.7404499 sig out 1act.) RANK 8 NODE 2 --> 12.7615652 sigma in 10act. ( 10.1686878 sig out 1act.) RANK 9 NODE 3 --> 12.4286757 sigma in 10act. ( 11.2816296 sig out 1act.) RANK 10 NODE 15 --> 10.2523193 sigma in 10act. ( 8.64864922 sig out 1act.) RANK 11 NODE 1 --> 9.88015652 sigma in 10act. ( 9.23245716 sig out 1act.) RANK 12 NODE 5 --> 9.73643017 sigma in 10act. ( 7.06438398 sig out 1act.) RANK 13 NODE 12 --> 9.12732792 sigma in 10act. ( 9.45411491 sig out 1act.) RANK 14 NODE 6 --> 8.78778744 sigma in 10act. ( 6.91023254 sig out 1act.) RANK 15 NODE 9 --> 2.34222078 sigma in 10act. ( 0.56955868 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 17.5692101 sigma out 1act.( 23.4120922 sig in 10act.) RANK 2 NODE 7 --> 14.933609 sigma out 1act.( 18.7474823 sig in 10act.) RANK 3 NODE 11 --> 13.8637257 sigma out 1act.( 16.8763237 sig in 10act.) RANK 4 NODE 13 --> 12.148284 sigma out 1act.( 15.8878088 sig in 10act.) RANK 5 NODE 10 --> 11.9468441 sigma out 1act.( 15.6561403 sig in 10act.) RANK 6 NODE 3 --> 11.2816296 sigma out 1act.( 12.4286757 sig in 10act.) RANK 7 NODE 4 --> 10.7404499 sigma out 1act.( 13.4710846 sig in 10act.) RANK 8 NODE 2 --> 10.1686878 sigma out 1act.( 12.7615652 sig in 10act.) RANK 9 NODE 8 --> 9.47865105 sigma out 1act.( 14.0461798 sig in 10act.) RANK 10 NODE 12 --> 9.45411491 sigma out 1act.( 9.12732792 sig in 10act.) RANK 11 NODE 1 --> 9.23245716 sigma out 1act.( 9.88015652 sig in 10act.) RANK 12 NODE 15 --> 8.64864922 sigma out 1act.( 10.2523193 sig in 10act.) RANK 13 NODE 5 --> 7.06438398 sigma out 1act.( 9.73643017 sig in 10act.) RANK 14 NODE 6 --> 6.91023254 sigma out 1act.( 8.78778744 sig in 10act.) RANK 15 NODE 9 --> 0.56955868 sigma out 1act.( 2.34222078 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 42.3966866 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.620058 *** contribution from regularisation: 0.00251667947 *** contribution from error: -0.622574687 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done