NNInput NNInputs_135.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= 45636 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 = 9433 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 9433 Chosen entries: 9433 Signal fraction: 1 Background fraction: 0.260559 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 9433 Entries to split: 9433 Test with : 4716 Train with : 4716 ********************************************* * 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= 9433 for Signal Prepared event 0 for Signal with 9433 events ====Entry 0 Variable Ht : 148.494 Variable LepAPt : 21.2118 Variable LepBPt : 15.8481 Variable MetSigLeptonsJets : 8.47123 Variable MetSpec : 73.4059 Variable SumEtLeptonsJets : 75.0878 Variable VSumJetLeptonsPt : 35.9076 Variable addEt : 110.466 Variable dPhiLepSumMet : 2.19079 Variable dPhiLeptons : 0.637674 Variable dRLeptons : 0.645613 Variable lep1_E : 28.1111 Variable lep2_E : 22.5035 ===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 = 2135 Ht = 148.494 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 21.2118 LepAPt = 21.2118 LepBEt = 15.8481 LepBPt = 15.8481 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 73.4059 MetDelPhi = 1.91969 MetSig = 5.71914 MetSigLeptonsJets = 8.47123 MetSpec = 73.4059 Mjj = 0 MostCentralJetEta = 1.19822 MtllMet = 119.147 Njets = 1 SB = 0 SumEt = 164.741 SumEtJets = 0 SumEtLeptonsJets = 75.0878 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 35.9076 addEt = 110.466 dPhiLepSumMet = 2.19079 dPhiLeptons = 0.637674 dRLeptons = 0.645613 diltype = 45 dimass = 11.6427 event = 554 jet1_Et = 38.0279 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 28.1111 lep2_E = 22.5035 rand = 0.999742 run = 230782 weight = 2.42291e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.314063 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 954 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 45636 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 954 negative weights. Signal fraction: 62.2872467 % ------------------------------ 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 55.8830566 63.0268326 64.7818222 66.1164856 67.4418869 68.6100311 69.7155151 70.5171509 71.2564392 71.8692932 72.5046768 73.2613907 73.8467102 74.3006897 74.8223724 75.3350067 75.7186737 76.2857361 76.975441 77.5558395 78.0503464 78.4867859 79.0463257 79.5031738 79.8600235 80.3719177 80.9258575 81.4332886 81.9771881 82.4923706 83.1976395 84.116127 84.9878235 85.9248962 86.9648743 87.8317413 88.6856232 89.6683044 90.6632385 91.8055573 92.8547821 94.1869812 95.1121674 96.4156265 97.5332413 98.9579468 100.097931 101.130249 102.447693 103.73217 105.275673 106.468948 107.529877 108.923462 110.093597 111.334358 112.418213 113.492661 114.509277 115.537895 116.748306 117.734909 118.888298 120.150009 121.470444 122.695847 123.696548 124.824844 126.019348 127.42366 128.730194 130.383469 131.746704 132.937805 134.665924 136.000183 137.79776 139.7164 142.174454 144.429352 146.96608 149.283447 151.239655 154.15564 156.572327 159.131134 162.63504 165.299438 168.436996 171.605789 175.661469 179.174194 184.136826 189.875504 197.133026 206.872894 217.95636 232.515244 251.216904 289.14566 625.246765 ------------------------------ Transdef: Tab for variable 3 20.001255 20.2299805 20.4548721 20.6762981 20.8776531 21.1686668 21.4033165 21.5695076 21.7619209 21.9450359 22.1113319 22.310051 22.4723263 22.6303139 22.7876492 22.9952431 23.1751041 23.4075012 23.6329651 23.7874985 23.9682579 24.1194305 24.2691154 24.4724541 24.6105614 24.7920761 24.9725151 25.1393433 25.3411179 25.4937134 25.6429558 25.7962952 25.9380703 26.1130638 26.2749577 26.4638443 26.6885414 26.8512115 27.0460396 27.215292 27.387085 27.6049728 27.787447 27.9688416 28.1142101 28.2828064 28.5143852 28.7394562 28.9547977 29.1389713 29.3365192 29.5333538 29.788353 29.993475 30.2114315 30.4329643 30.6982498 30.9385281 31.1731548 31.4531879 31.6688461 31.9659805 32.2288284 32.4786835 32.8190155 33.0866165 33.3841171 33.7344208 34.0550499 34.4098396 34.7633514 35.0294533 35.3874779 35.6965637 36.058136 36.4561119 36.870163 37.2650337 37.6820335 38.2348022 38.5896263 39.0891228 39.5744324 40.0938339 40.7254105 41.3194962 42.0212936 42.7293625 43.363205 44.057663 44.9103851 45.8936234 47.0280304 48.2687454 49.6104279 51.4750671 53.1333847 55.9617882 60.4817696 67.0733414 151.031479 ------------------------------ Transdef: Tab for variable 4 10.0006418 10.0956059 10.1887312 10.2798576 10.3804226 10.4622555 10.5456247 10.6622543 10.7663097 10.8556576 10.9594183 11.0728674 11.1858711 11.2930508 11.3857002 11.4975529 11.5921755 11.7059956 11.8241711 11.9399605 12.0559425 12.1702309 12.294939 12.4287987 12.561636 12.6848755 12.7960024 12.9245586 13.0577316 13.1981907 13.369091 13.4805222 13.6050224 13.7340794 13.87327 14.0195923 14.1774178 14.2934046 14.4529648 14.5669365 14.7104092 14.8785076 14.9979095 15.1311588 15.2807465 15.4321632 15.5992308 15.7317829 15.9220867 16.0927391 16.2489166 16.4094677 16.5694084 16.7399006 16.9010201 17.0875015 17.2620125 17.4454994 17.6414242 17.8129539 18.0078659 18.2562866 18.4331284 18.6081829 18.8064995 18.9924717 19.1985359 19.3755894 19.5976791 19.8206749 20.0398445 20.2480602 20.5052738 20.7348099 20.996376 21.2408009 21.5081596 21.7698212 22.1130562 22.4143448 22.7127686 23.0438786 23.3617973 23.7279663 24.0636158 24.4860382 24.9000168 25.3885841 25.7756367 26.246521 26.810833 27.4448166 28.0812111 28.6639175 29.356432 30.2068977 31.1373329 32.4961777 34.8911705 38.6286774 71.9776382 ------------------------------ Transdef: Tab for variable 5 1.79273057 2.84247732 3.11386371 3.384377 3.58021855 3.78447866 3.98408699 4.08963871 4.2156024 4.3267231 4.40960503 4.5006299 4.57929707 4.66090012 4.75306797 4.83247471 4.90311146 4.96057701 5.03356934 5.11433268 5.1764946 5.23598194 5.29171562 5.3420496 5.38637733 5.42596912 5.46849251 5.5148735 5.56337166 5.60350418 5.63857603 5.68215942 5.72100544 5.76322269 5.80286884 5.84707737 5.89273453 5.93089962 5.96923828 5.99811268 6.04208755 6.07644081 6.11930132 6.15790462 6.20394373 6.24563789 6.27626801 6.31662226 6.34865618 6.37581015 6.41589308 6.44934225 6.48433352 6.52188873 6.56235886 6.59553242 6.63948011 6.68674755 6.72400999 6.76068497 6.80690193 6.84713793 6.88805151 6.92499256 6.96945095 7.00860834 7.04754829 7.08613348 7.13046265 7.17400503 7.2276063 7.27280903 7.31755877 7.37311459 7.43297863 7.4790926 7.54343653 7.59971809 7.66546488 7.72576523 7.78641367 7.84093666 7.89936161 7.95880127 8.02573013 8.10798264 8.17967796 8.25623512 8.34168625 8.43403816 8.54285812 8.64738274 8.75557899 8.89309502 9.04021263 9.21353149 9.41404629 9.68163872 10.035882 10.6878166 14.5192184 ------------------------------ Transdef: Tab for variable 6 25.0035629 25.692215 26.3336029 27.0966988 27.7029457 28.493866 29.2528305 29.8602409 30.5605278 31.1886253 31.6753712 32.1081924 32.5616417 33.0070534 33.3905945 33.7262802 34.1204834 34.5040588 34.8399734 35.1644707 35.5341721 35.9462624 36.3153076 36.5461769 36.8878975 37.1925621 37.3642578 37.6987648 37.9946671 38.2576408 38.5624428 38.8740387 39.1481171 39.3769798 39.6222038 39.8889809 40.2672806 40.563797 40.8556671 41.1498642 41.4426079 41.7628479 42.0666275 42.3117218 42.630722 43.0635719 43.4517288 43.8462982 44.2889366 44.764061 45.2055054 45.7071152 46.0892906 46.5356445 47.1420975 47.6622505 48.1847992 48.6366806 49.2577324 49.8051949 50.4422226 51.0095596 51.5762634 52.2794571 52.7782402 53.4643517 53.9374352 54.5167007 55.0901642 55.7105026 56.4474144 57.0330429 57.7089539 58.3319321 58.9798813 59.6931686 60.2334938 60.8498955 61.4766083 62.2034378 62.9031219 63.611412 64.4629288 65.2845535 66.1331787 66.8711929 67.727417 68.6045227 69.7673721 70.8070221 72.1151123 73.4859467 75.29673 77.0418854 79.0122299 81.2173157 84.6705322 88.9955292 94.4108124 106.777191 197.808899 ------------------------------ Transdef: Tab for variable 7 30.1267166 32.3563461 33.2275429 34.1328735 34.7364883 35.1889534 35.60252 35.9739265 36.3253021 36.6821823 36.9410248 37.1275482 37.447197 37.6826477 38.0236015 38.2379608 38.5121803 38.7642212 38.9904251 39.2415771 39.4538269 39.6202393 39.9491272 40.261528 40.5133667 40.7360764 41.082592 41.3468475 41.6145287 41.982338 42.2367325 42.557766 43.0273438 43.5305634 44.0627365 44.5844116 45.1839828 45.732872 46.2114525 46.8513603 47.3443222 47.9317322 48.5686874 49.3801727 50.2460365 50.9196205 51.730629 52.4582214 53.0564423 53.6453934 54.2761345 55.0880814 55.8096428 56.4329071 57.0733147 57.6449585 58.4468956 59.1853638 59.9643593 60.6313095 61.2662239 62.0860519 62.7178879 63.5586777 64.4163666 65.4177704 66.6183777 67.5859604 68.4964066 69.6909027 70.8773804 71.9707336 73.3993073 74.6268921 76.4203644 78.051796 79.5418701 80.9849243 82.7762756 84.4291153 86.2559052 87.9227219 89.9373627 91.878418 93.8923187 96.0017471 98.8712234 101.103592 103.982239 106.679169 110.481339 114.464081 118.343658 124.568634 130.01358 136.757782 146.183411 160.155609 174.552368 199.541107 377.001801 ------------------------------ Transdef: Tab for variable 8 0.678276479 23.2086906 28.0012493 30.1119728 31.2937126 31.9251461 32.6166229 33.1636734 33.6592407 33.9574738 34.385849 34.7335205 35.0803833 35.3586731 35.7011795 35.9122429 36.129631 36.38414 36.5833244 36.8169098 37.1125412 37.3331337 37.5614853 37.7726974 37.9781265 38.1620407 38.371376 38.5864563 38.8076859 39.0442963 39.2676048 39.5144958 39.7393265 39.9676666 40.1932678 40.4331093 40.6584167 40.9478302 41.2265244 41.4674149 41.7368813 42.0676117 42.3925285 42.9003067 43.2639236 43.5734329 44.0191727 44.5249519 44.9225922 45.3664551 45.7301712 46.0937996 46.53759 46.9971924 47.4439697 47.9369812 48.561142 49.1327515 49.6430359 50.1721344 50.6415253 51.1956863 51.7641258 52.2053337 52.7317123 53.1566238 53.7797241 54.453949 55.1008377 55.5833778 56.1491089 56.686245 57.2616005 57.8261337 58.4989624 59.0188293 59.5120544 60.1313553 60.7909317 61.3427238 62.088726 62.8524132 63.4894371 64.1510468 64.9548187 65.8710327 66.846489 67.9497452 69.1012878 70.3686523 71.481102 72.9803009 74.7128906 76.4864044 78.7858276 81.5778122 85.3214722 89.3052826 96.231926 109.281113 251.591461 ------------------------------ Transdef: Tab for variable 9 55.8830566 62.6223793 64.404068 65.7384644 67.0893478 67.8158188 68.8805161 69.7507324 70.4730377 71.0557175 71.7066345 72.1821518 72.7959137 73.4046249 73.9176025 74.3020782 74.7907715 75.2406006 75.6103973 76.0674438 76.7009277 77.2136002 77.6091461 78.0503464 78.4132156 78.9317169 79.3526459 79.639595 80.0618668 80.4850769 80.9416351 81.3826828 81.8444366 82.281601 82.7976227 83.5114899 84.1036072 84.8195343 85.4980545 86.3425217 86.9157257 87.5485077 88.3869324 89.0337524 89.8091125 90.7190247 91.526535 92.3301315 93.3159027 94.289032 95.0952759 96.0692444 96.9210205 97.9158783 98.9521255 99.8654175 100.799362 101.672379 102.625992 103.628662 104.703186 105.517746 106.512062 107.46032 108.477875 109.43042 110.393341 111.303986 112.154083 112.957802 113.969696 114.877533 115.772392 116.822647 117.683739 118.511887 119.235535 120.330414 121.23941 122.268776 123.328156 124.260002 125.378227 126.291016 127.377182 128.48349 129.711487 131.013458 132.273163 133.487045 135.112885 136.438126 137.99469 139.885254 142.106415 144.819427 148.817291 153.582672 163.989014 184.11438 344.857483 ------------------------------ Transdef: Tab for variable 10 0.045724187 1.11357069 1.39838171 1.55993795 1.67931902 1.79643798 1.89225817 1.98984075 2.06411886 2.13645411 2.19236565 2.25780582 2.29771948 2.34253168 2.39645195 2.43741846 2.47153044 2.50111961 2.53097677 2.56284523 2.58588743 2.61288404 2.6340003 2.65330362 2.67548895 2.69681621 2.71363163 2.73511267 2.74885702 2.76471305 2.77689171 2.79233265 2.8089788 2.82418394 2.8359828 2.84745264 2.85944772 2.870399 2.88097692 2.89000797 2.89977789 2.90798712 2.91654396 2.92422819 2.93469572 2.94268847 2.94954157 2.95716095 2.96242237 2.96981359 2.97653484 2.98152924 2.98643875 2.99076033 2.99616337 3.00178528 3.00631547 3.01032877 3.01409435 3.01862335 3.02241278 3.02668571 3.03110957 3.03496647 3.03872013 3.0425415 3.04621506 3.04984975 3.05394077 3.05762839 3.060812 3.0642643 3.06689548 3.07070827 3.07368135 3.07636046 3.07991457 3.08224249 3.08518338 3.08813047 3.09113479 3.09332657 3.09529757 3.09828234 3.1011703 3.10371923 3.10666227 3.10922956 3.11236596 3.11515236 3.11714125 3.11944056 3.1215682 3.12456226 3.12703371 3.12907505 3.13169384 3.13374496 3.13645101 3.13896585 3.14155316 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.00647973595 0.0116082802 0.0183722973 0.0246174932 0.0317621231 0.0393711329 0.0483882427 0.0556843281 0.0620582104 0.0712329149 0.0783725977 0.086521551 0.0934204459 0.101275802 0.108521581 0.114963509 0.123078346 0.130805254 0.138323903 0.146177828 0.15483129 0.16242294 0.170373797 0.178389102 0.18556571 0.192629233 0.198934674 0.204323173 0.208907485 0.213800073 0.2188164 0.225404322 0.231184006 0.236052468 0.241993904 0.246627331 0.252572238 0.25914216 0.265048444 0.269941509 0.276284873 0.283053905 0.288836002 0.294003665 0.298837006 0.303835899 0.309337616 0.315004349 0.321043849 0.32754004 0.333434939 0.339822531 0.345331013 0.351018906 0.356693447 0.361593485 0.366999298 0.372687221 0.378389686 0.385097057 0.392219335 0.399029255 0.40662533 0.4129107 0.41947183 0.427130967 0.43270126 0.439944863 0.447249055 0.453626871 0.460988343 0.467965007 0.473726511 0.481517971 0.487727046 0.494307518 0.502376676 0.509143233 0.516860127 0.523968041 0.532132149 0.54130733 0.548937917 0.558683515 0.567017138 0.577200651 0.587384939 0.59580195 0.607707441 0.623121262 0.638916969 0.653255105 0.669274092 0.685806453 0.708044589 0.731002688 0.765144527 0.804164648 0.855360389 1.09309101 ------------------------------ Transdef: Tab for variable 12 0.200196758 0.211349279 0.221480653 0.232683837 0.240293682 0.249140322 0.256478488 0.262681544 0.271288693 0.276976258 0.285306513 0.292084336 0.299587786 0.307345033 0.315413237 0.320991635 0.328296483 0.335501432 0.342872024 0.349725604 0.35690105 0.362915933 0.368608654 0.374526501 0.381259918 0.387565017 0.393753499 0.398516536 0.403648138 0.409452736 0.413398921 0.417459667 0.42284584 0.428229988 0.432904243 0.436571598 0.440836668 0.445653081 0.449359357 0.454074383 0.4583143 0.463133126 0.466646612 0.470638782 0.475638002 0.479391932 0.484608531 0.48875773 0.49254936 0.496510863 0.500141859 0.503904521 0.508920014 0.513820171 0.517580032 0.522268534 0.526251078 0.531033516 0.535743952 0.539261222 0.543755054 0.547377706 0.5519557 0.557340086 0.561325192 0.565013647 0.569756925 0.575101554 0.580504775 0.585378349 0.590060234 0.595628142 0.600881815 0.605516791 0.610660553 0.616997242 0.624062121 0.630491078 0.638067901 0.644547224 0.650410235 0.659994006 0.66494447 0.672311664 0.679242432 0.68908596 0.697597325 0.706947744 0.717076361 0.727477312 0.740024984 0.751041532 0.761547744 0.777610421 0.793391526 0.809657335 0.825618207 0.847096741 0.871872783 0.920806587 1.13498271 ------------------------------ Transdef: Tab for variable 13 20.0082169 21.3958569 22.2579212 22.9195175 23.3608208 23.8370819 24.3897247 24.8494987 25.3526764 25.7243042 26.0836582 26.5365067 26.8487549 27.1713219 27.4851494 27.8932343 28.2114601 28.4936676 28.9254284 29.2396946 29.5476665 29.806839 30.2218704 30.5520439 30.859127 31.1738815 31.4620857 31.8022995 32.1674576 32.4513702 32.7631683 33.0593948 33.2704964 33.5843201 33.9329681 34.2932739 34.631752 34.8872681 35.2780457 35.6599731 35.9922256 36.4082375 36.8000107 37.1514549 37.5392952 38.0043411 38.2846718 38.6663284 39.06633 39.4642487 39.9009743 40.3203735 40.715126 41.1015091 41.6799126 42.0905533 42.6428299 43.0401649 43.5393143 43.9934006 44.5818024 45.0958786 45.6730347 46.3082428 46.7799225 47.38517 48.0059814 48.6191292 49.1266289 49.757576 50.4646416 51.3051605 52.0212021 52.7410736 53.6308136 54.2471085 55.1360626 56.0093956 57.052124 58.207634 59.1604385 60.4049835 61.3552399 62.5003357 64.1543427 65.8106842 67.3609543 68.8833618 70.4589386 72.3687744 74.2060394 75.9085541 77.8719177 80.0601807 83.8881683 87.592186 91.6885071 96.8817902 103.045967 117.808105 225.703049 ------------------------------ Transdef: Tab for variable 14 10.018115 10.6325188 11.1110668 11.4953861 11.7931929 12.0920906 12.3867397 12.6680727 12.8909187 13.1542416 13.4329386 13.6424055 13.8728886 14.0769749 14.292963 14.5511875 14.7379131 14.9946775 15.2305717 15.4374199 15.6698933 15.896246 16.1506119 16.3613472 16.6394234 16.8766975 17.0889282 17.2985039 17.5025673 17.7029591 17.941494 18.2015648 18.4615154 18.6753502 18.9232979 19.112442 19.3839188 19.616127 19.853672 20.0900307 20.3117371 20.5635834 20.8522034 21.1137505 21.3890018 21.65802 21.9849567 22.2163563 22.4941597 22.7400894 23.0167885 23.2553082 23.5458679 23.7960777 24.0520592 24.361084 24.6952896 25.0241432 25.3905563 25.7106552 26.0562286 26.3414841 26.7153778 27.0840816 27.4375858 27.6949959 28.0206604 28.4135284 28.8234711 29.2308159 29.5235767 29.8965607 30.2285881 30.6880932 31.1224747 31.4890137 31.9524059 32.4774551 32.8899078 33.3231583 33.7830734 34.3797302 34.9382362 35.539444 36.3189964 36.9915047 37.6257019 38.4228401 39.382988 40.7362061 41.6905441 43.0190659 44.3179817 45.596405 47.5237427 49.3681984 52.108017 54.9530716 59.2339935 66.2992935 111.54052 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 63.8 44.1 43.1 24.1 48.9 60.0 49.5 61.8 -30.2 -10.0 -18.6 1.1 2.7 2 63.8 100.0 62.4 50.9 26.4 69.0 93.8 69.1 90.9 -49.2 -17.2 -33.5 19.1 14.0 3 44.1 62.4 100.0 28.3 2.5 33.1 66.0 50.0 68.9 -17.4 -16.7 -35.6 54.2 5.3 4 43.1 50.9 28.3 100.0 9.2 31.5 51.8 42.4 57.1 -13.0 -21.9 -42.6 2.6 57.9 5 24.1 26.4 2.5 9.2 100.0 80.7 -1.9 47.7 51.2 25.4 -5.1 -4.1 -11.3 -5.3 6 48.9 69.0 33.1 31.5 80.7 100.0 46.6 72.9 81.6 -8.8 -11.4 -19.6 2.1 3.4 7 60.0 93.8 66.0 51.8 -1.9 46.6 100.0 62.8 78.6 -55.9 -14.7 -32.3 25.3 18.2 8 49.5 69.1 50.0 42.4 47.7 72.9 62.8 100.0 78.6 -11.0 -15.8 -28.4 16.6 14.2 9 61.8 90.9 68.9 57.1 51.2 81.6 78.6 78.6 100.0 -24.3 -20.2 -38.7 23.8 18.5 10 -30.2 -49.2 -17.4 -13.0 25.4 -8.8 -55.9 -11.0 -24.3 100.0 3.2 7.1 -2.3 -0.3 11 -10.0 -17.2 -16.7 -21.9 -5.1 -11.4 -14.7 -15.8 -20.2 3.2 100.0 55.4 3.9 -2.5 12 -18.6 -33.5 -35.6 -42.6 -4.1 -19.6 -32.3 -28.4 -38.7 7.1 55.4 100.0 -3.2 -9.3 13 1.1 19.1 54.2 2.6 -11.3 2.1 25.3 16.6 23.8 -2.3 3.9 -3.2 100.0 47.0 14 2.7 14.0 5.3 57.9 -5.3 3.4 18.2 14.2 18.5 -0.3 -2.5 -9.3 47.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 148.56252 TOTAL CORRELATION OF ALL VARIABLES 70.3375558 ROUND 1: MAX CORR ( 70.3371195) AFTER KILLING INPUT VARIABLE 11 CONTR 0.247736342 ROUND 2: MAX CORR ( 70.3263477) AFTER KILLING INPUT VARIABLE 6 CONTR 1.23093325 ROUND 3: MAX CORR ( 70.2833584) AFTER KILLING INPUT VARIABLE 8 CONTR 2.45860048 ROUND 4: MAX CORR ( 70.11207) AFTER KILLING INPUT VARIABLE 13 CONTR 4.90388807 ROUND 5: MAX CORR ( 69.9079172) AFTER KILLING INPUT VARIABLE 7 CONTR 5.34653787 ROUND 6: MAX CORR ( 69.5947253) AFTER KILLING INPUT VARIABLE 10 CONTR 6.60992425 ROUND 7: MAX CORR ( 68.9513245) AFTER KILLING INPUT VARIABLE 9 CONTR 9.44143222 ROUND 8: MAX CORR ( 68.480373) AFTER KILLING INPUT VARIABLE 5 CONTR 8.04510116 ROUND 9: MAX CORR ( 67.957749) AFTER KILLING INPUT VARIABLE 3 CONTR 8.44427893 ROUND 10: MAX CORR ( 67.1484881) AFTER KILLING INPUT VARIABLE 12 CONTR 10.4563948 ROUND 11: MAX CORR ( 64.9735558) AFTER KILLING INPUT VARIABLE 14 CONTR 16.9515929 ROUND 12: MAX CORR ( 63.8015037) AFTER KILLING INPUT VARIABLE 4 CONTR 12.2854012 LAST REMAINING VARIABLE: 2 total correlation to target: 70.3375558 % total significance: 61.3329063 sigma correlations of single variables to target: variable 2: 63.8015037 % , in sigma: 55.6336028 variable 3: 44.0961637 % , in sigma: 38.4509505 variable 4: 43.056678 % , in sigma: 37.5445402 variable 5: 24.1449549 % , in sigma: 21.0539055 variable 6: 48.8621197 % , in sigma: 42.6067664 variable 7: 59.9869107 % , in sigma: 52.307356 variable 8: 49.4990261 % , in sigma: 43.1621357 variable 9: 61.7758246 % , in sigma: 53.8672522 variable 10: -30.2197405 % , in sigma: 26.350994 variable 11: -10.0208074 % , in sigma: 8.73793854 variable 12: -18.5601558 % , in sigma: 16.1840753 variable 13: 1.1119125 % , in sigma: 0.969564901 variable 14: 2.67493014 % , in sigma: 2.33248423 variables sorted by significance: 1 most relevant variable 2 corr 63.8015022 , in sigma: 55.6336016 2 most relevant variable 4 corr 12.2854013 , in sigma: 10.712618 3 most relevant variable 14 corr 16.9515934 , in sigma: 14.7814418 4 most relevant variable 12 corr 10.4563951 , in sigma: 9.11776214 5 most relevant variable 3 corr 8.44427872 , in sigma: 7.36323788 6 most relevant variable 5 corr 8.04510117 , in sigma: 7.01516324 7 most relevant variable 9 corr 9.441432 , in sigma: 8.23273509 8 most relevant variable 10 corr 6.60992432 , in sigma: 5.76371846 9 most relevant variable 7 corr 5.34653807 , in sigma: 4.66207155 10 most relevant variable 13 corr 4.90388823 , in sigma: 4.27608997 11 most relevant variable 8 corr 2.45860052 , in sigma: 2.14384924 12 most relevant variable 6 corr 1.23093331 , in sigma: 1.0733486 13 most relevant variable 11 corr 0.247736335 , in sigma: 0.216021004 global correlations between input variables: variable 2: 99.1036944 % variable 3: 92.7549809 % variable 4: 89.813503 % variable 5: 95.1018969 % variable 6: 95.2596402 % variable 7: 98.5422304 % variable 8: 85.9878725 % variable 9: 98.8768238 % variable 10: 71.4630055 % variable 11: 56.2459593 % variable 12: 67.9971821 % variable 13: 85.3926597 % variable 14: 86.2313368 % significance loss when removing single variables: variable 2: corr = 5.3021413 % , sigma = 4.62335849 variable 3: corr = 13.5816889 % , sigma = 11.8429542 variable 4: corr = 17.5206171 % , sigma = 15.2776188 variable 5: corr = 10.4169665 % , sigma = 9.08338115 variable 6: corr = 1.23971521 % , sigma = 1.08100624 variable 7: corr = 3.67654558 % , sigma = 3.20587236 variable 8: corr = 1.98322063 % , sigma = 1.72932772 variable 9: corr = 8.24043828 % , sigma = 7.1854932 variable 10: corr = 6.59072315 % , sigma = 5.74697543 variable 11: corr = 0.247736342 % , sigma = 0.21602101 variable 12: corr = 9.3185466 % , sigma = 8.12558154 variable 13: corr = 4.83971335 % , sigma = 4.22013079 variable 14: corr = 7.56798478 % , sigma = 6.59912753 Keep only 10 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 11 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 16.4348888 sigma out 15 active outputs RANK 2 NODE 11 --> 13.0278893 sigma out 15 active outputs RANK 3 NODE 8 --> 11.68328 sigma out 15 active outputs RANK 4 NODE 7 --> 10.8559055 sigma out 15 active outputs RANK 5 NODE 3 --> 10.3218956 sigma out 15 active outputs RANK 6 NODE 2 --> 9.83072758 sigma out 15 active outputs RANK 7 NODE 10 --> 9.31053448 sigma out 15 active outputs RANK 8 NODE 6 --> 8.44098854 sigma out 15 active outputs RANK 9 NODE 4 --> 7.47027874 sigma out 15 active outputs RANK 10 NODE 9 --> 6.65908575 sigma out 15 active outputs RANK 11 NODE 5 --> 4.33025551 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 19.2608509 sigma in 11act. ( 18.907814 sig out 1act.) RANK 2 NODE 4 --> 16.0114975 sigma in 11act. ( 15.5030432 sig out 1act.) RANK 3 NODE 2 --> 12.8132524 sigma in 11act. ( 12.737607 sig out 1act.) RANK 4 NODE 5 --> 11.6552391 sigma in 11act. ( 12.3085909 sig out 1act.) RANK 5 NODE 1 --> 11.3473988 sigma in 11act. ( 11.3030844 sig out 1act.) RANK 6 NODE 6 --> 5.69470596 sigma in 11act. ( 5.92917204 sig out 1act.) RANK 7 NODE 12 --> 4.04693079 sigma in 11act. ( 4.02396011 sig out 1act.) RANK 8 NODE 3 --> 4.03218842 sigma in 11act. ( 4.46534014 sig out 1act.) RANK 9 NODE 14 --> 3.90640521 sigma in 11act. ( 3.42022443 sig out 1act.) RANK 10 NODE 7 --> 3.87992239 sigma in 11act. ( 3.67189145 sig out 1act.) RANK 11 NODE 10 --> 3.49752378 sigma in 11act. ( 2.27085781 sig out 1act.) RANK 12 NODE 13 --> 1.93109715 sigma in 11act. ( 1.99830532 sig out 1act.) RANK 13 NODE 15 --> 1.7666254 sigma in 11act. ( 1.81268048 sig out 1act.) RANK 14 NODE 11 --> 1.74006295 sigma in 11act. ( 1.7570256 sig out 1act.) RANK 15 NODE 9 --> 0.758752406 sigma in 11act. ( 0.371834189 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 18.907814 sigma out 1act.( 19.2608509 sig in 11act.) RANK 2 NODE 4 --> 15.5030432 sigma out 1act.( 16.0114975 sig in 11act.) RANK 3 NODE 2 --> 12.737607 sigma out 1act.( 12.8132524 sig in 11act.) RANK 4 NODE 5 --> 12.3085909 sigma out 1act.( 11.6552391 sig in 11act.) RANK 5 NODE 1 --> 11.3030844 sigma out 1act.( 11.3473988 sig in 11act.) RANK 6 NODE 6 --> 5.92917204 sigma out 1act.( 5.69470596 sig in 11act.) RANK 7 NODE 3 --> 4.46534014 sigma out 1act.( 4.03218842 sig in 11act.) RANK 8 NODE 12 --> 4.02396011 sigma out 1act.( 4.04693079 sig in 11act.) RANK 9 NODE 7 --> 3.67189145 sigma out 1act.( 3.87992239 sig in 11act.) RANK 10 NODE 14 --> 3.42022443 sigma out 1act.( 3.90640521 sig in 11act.) RANK 11 NODE 10 --> 2.27085781 sigma out 1act.( 3.49752378 sig in 11act.) RANK 12 NODE 13 --> 1.99830532 sigma out 1act.( 1.93109715 sig in 11act.) RANK 13 NODE 15 --> 1.81268048 sigma out 1act.( 1.7666254 sig in 11act.) RANK 14 NODE 11 --> 1.7570256 sigma out 1act.( 1.74006295 sig in 11act.) RANK 15 NODE 9 --> 0.371834189 sigma out 1act.( 0.758752406 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 33.9335518 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 15.1658096 sigma out 15 active outputs RANK 2 NODE 10 --> 14.3770313 sigma out 15 active outputs RANK 3 NODE 11 --> 14.0727367 sigma out 15 active outputs RANK 4 NODE 7 --> 12.5117722 sigma out 15 active outputs RANK 5 NODE 8 --> 12.3062038 sigma out 15 active outputs RANK 6 NODE 3 --> 11.9551592 sigma out 15 active outputs RANK 7 NODE 4 --> 11.2042656 sigma out 15 active outputs RANK 8 NODE 6 --> 10.8284588 sigma out 15 active outputs RANK 9 NODE 2 --> 10.6191854 sigma out 15 active outputs RANK 10 NODE 9 --> 7.62196875 sigma out 15 active outputs RANK 11 NODE 5 --> 6.51099205 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 19.589632 sigma in 11act. ( 18.0854568 sig out 1act.) RANK 2 NODE 4 --> 15.4410753 sigma in 11act. ( 14.5074406 sig out 1act.) RANK 3 NODE 2 --> 13.1351175 sigma in 11act. ( 10.9082432 sig out 1act.) RANK 4 NODE 5 --> 12.8835831 sigma in 11act. ( 12.8567858 sig out 1act.) RANK 5 NODE 1 --> 11.4727936 sigma in 11act. ( 10.0272675 sig out 1act.) RANK 6 NODE 3 --> 7.90841246 sigma in 11act. ( 4.8965292 sig out 1act.) RANK 7 NODE 15 --> 7.25975227 sigma in 11act. ( 3.03694606 sig out 1act.) RANK 8 NODE 10 --> 7.25842905 sigma in 11act. ( 1.84865296 sig out 1act.) RANK 9 NODE 6 --> 7.06006813 sigma in 11act. ( 5.34127951 sig out 1act.) RANK 10 NODE 12 --> 7.00006056 sigma in 11act. ( 4.44099522 sig out 1act.) RANK 11 NODE 13 --> 6.98396587 sigma in 11act. ( 2.63785148 sig out 1act.) RANK 12 NODE 11 --> 6.19524622 sigma in 11act. ( 2.71898127 sig out 1act.) RANK 13 NODE 14 --> 6.17704678 sigma in 11act. ( 3.52254105 sig out 1act.) RANK 14 NODE 7 --> 6.15295744 sigma in 11act. ( 2.97693324 sig out 1act.) RANK 15 NODE 9 --> 4.40781975 sigma in 11act. ( 0.891851425 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 18.0854568 sigma out 1act.( 19.589632 sig in 11act.) RANK 2 NODE 4 --> 14.5074406 sigma out 1act.( 15.4410753 sig in 11act.) RANK 3 NODE 5 --> 12.8567858 sigma out 1act.( 12.8835831 sig in 11act.) RANK 4 NODE 2 --> 10.9082432 sigma out 1act.( 13.1351175 sig in 11act.) RANK 5 NODE 1 --> 10.0272675 sigma out 1act.( 11.4727936 sig in 11act.) RANK 6 NODE 6 --> 5.34127951 sigma out 1act.( 7.06006813 sig in 11act.) RANK 7 NODE 3 --> 4.8965292 sigma out 1act.( 7.90841246 sig in 11act.) RANK 8 NODE 12 --> 4.44099522 sigma out 1act.( 7.00006056 sig in 11act.) RANK 9 NODE 14 --> 3.52254105 sigma out 1act.( 6.17704678 sig in 11act.) RANK 10 NODE 15 --> 3.03694606 sigma out 1act.( 7.25975227 sig in 11act.) RANK 11 NODE 7 --> 2.97693324 sigma out 1act.( 6.15295744 sig in 11act.) RANK 12 NODE 11 --> 2.71898127 sigma out 1act.( 6.19524622 sig in 11act.) RANK 13 NODE 13 --> 2.63785148 sigma out 1act.( 6.98396587 sig in 11act.) RANK 14 NODE 10 --> 1.84865296 sigma out 1act.( 7.25842905 sig in 11act.) RANK 15 NODE 9 --> 0.891851425 sigma out 1act.( 4.40781975 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 32.3058472 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.46320945 *** contribution from regularisation: 0.0139460787 *** contribution from error: -0.477155536 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.516171992 *** contribution from regularisation: 0.00698963692 *** contribution from error: -0.52316165 *********************************************** -----------------> Test sample ENTER BFGS code START -11780.2946 0.257470131 -0.0655883923 EXIT FROM BFGS code FG_START 0. 0.257470131 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.535684705 *** contribution from regularisation: 0.00543867005 *** contribution from error: -0.54112339 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12223.2542 0.257470131 -49.9049911 EXIT FROM BFGS code FG_LNSRCH 0. 0.199418604 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.566243529 *** contribution from regularisation: 0.00754486537 *** contribution from error: -0.573788404 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12920.5446 0.199418604 -9.89908886 EXIT FROM BFGS code NEW_X -12920.5446 0.199418604 -9.89908886 ENTER BFGS code NEW_X -12920.5446 0.199418604 -9.89908886 EXIT FROM BFGS code FG_LNSRCH 0. 0.182492077 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.568868935 *** contribution from regularisation: 0.00839111209 *** contribution from error: -0.577260077 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12980.4511 0.182492077 -4.84605598 EXIT FROM BFGS code NEW_X -12980.4511 0.182492077 -4.84605598 ENTER BFGS code NEW_X -12980.4511 0.182492077 -4.84605598 EXIT FROM BFGS code FG_LNSRCH 0. 0.16380316 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.569855094 *** contribution from regularisation: 0.00853696931 *** contribution from error: -0.578392088 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13002.9541 0.16380316 -2.66374874 EXIT FROM BFGS code NEW_X -13002.9541 0.16380316 -2.66374874 ENTER BFGS code NEW_X -13002.9541 0.16380316 -2.66374874 EXIT FROM BFGS code FG_LNSRCH 0. 0.133575618 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.570345104 *** contribution from regularisation: 0.00801960845 *** contribution from error: -0.57836473 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13014.1349 0.133575618 -0.151547551 EXIT FROM BFGS code NEW_X -13014.1349 0.133575618 -0.151547551 ENTER BFGS code NEW_X -13014.1349 0.133575618 -0.151547551 EXIT FROM BFGS code FG_LNSRCH 0. 0.085973151 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.570499182 *** contribution from regularisation: 0.00719981082 *** contribution from error: -0.577699006 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13017.6499 0.085973151 0.474060088 EXIT FROM BFGS code NEW_X -13017.6499 0.085973151 0.474060088 ENTER BFGS code NEW_X -13017.6499 0.085973151 0.474060088 EXIT FROM BFGS code FG_LNSRCH 0. -0.0907420814 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.565983772 *** contribution from regularisation: 0.00640346017 *** contribution from error: -0.572387218 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12914.618 -0.0907420814 4.24886847 EXIT FROM BFGS code FG_LNSRCH 0. 0.0303147864 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 22.0514297 sigma out 15 active outputs RANK 2 NODE 1 --> 11.2602749 sigma out 15 active outputs RANK 3 NODE 4 --> 8.32725906 sigma out 15 active outputs RANK 4 NODE 11 --> 6.85190058 sigma out 15 active outputs RANK 5 NODE 3 --> 6.74117374 sigma out 15 active outputs RANK 6 NODE 7 --> 5.55349874 sigma out 15 active outputs RANK 7 NODE 8 --> 4.99101782 sigma out 15 active outputs RANK 8 NODE 6 --> 4.81706381 sigma out 15 active outputs RANK 9 NODE 5 --> 4.1689744 sigma out 15 active outputs RANK 10 NODE 9 --> 4.15827513 sigma out 15 active outputs RANK 11 NODE 2 --> 3.15856671 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 14.2255526 sigma in 11act. ( 12.037405 sig out 1act.) RANK 2 NODE 8 --> 11.6787109 sigma in 11act. ( 8.11434841 sig out 1act.) RANK 3 NODE 11 --> 9.17265224 sigma in 11act. ( 5.57526493 sig out 1act.) RANK 4 NODE 5 --> 9.11564732 sigma in 11act. ( 5.47232485 sig out 1act.) RANK 5 NODE 13 --> 8.66469669 sigma in 11act. ( 5.95598745 sig out 1act.) RANK 6 NODE 12 --> 7.76561785 sigma in 11act. ( 5.68294144 sig out 1act.) RANK 7 NODE 4 --> 7.47522974 sigma in 11act. ( 4.9006114 sig out 1act.) RANK 8 NODE 3 --> 6.98879004 sigma in 11act. ( 3.66051269 sig out 1act.) RANK 9 NODE 9 --> 6.92031288 sigma in 11act. ( 4.13007879 sig out 1act.) RANK 10 NODE 14 --> 5.47363234 sigma in 11act. ( 3.77012968 sig out 1act.) RANK 11 NODE 1 --> 5.18709946 sigma in 11act. ( 3.1965549 sig out 1act.) RANK 12 NODE 2 --> 3.65021491 sigma in 11act. ( 0.667136788 sig out 1act.) RANK 13 NODE 10 --> 3.62683129 sigma in 11act. ( 0.055670552 sig out 1act.) RANK 14 NODE 7 --> 3.37881017 sigma in 11act. ( 1.95151258 sig out 1act.) RANK 15 NODE 6 --> 3.1066916 sigma in 11act. ( 1.27875972 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 12.037405 sigma out 1act.( 14.2255526 sig in 11act.) RANK 2 NODE 8 --> 8.11434841 sigma out 1act.( 11.6787109 sig in 11act.) RANK 3 NODE 13 --> 5.95598745 sigma out 1act.( 8.66469669 sig in 11act.) RANK 4 NODE 12 --> 5.68294144 sigma out 1act.( 7.76561785 sig in 11act.) RANK 5 NODE 11 --> 5.57526493 sigma out 1act.( 9.17265224 sig in 11act.) RANK 6 NODE 5 --> 5.47232485 sigma out 1act.( 9.11564732 sig in 11act.) RANK 7 NODE 4 --> 4.9006114 sigma out 1act.( 7.47522974 sig in 11act.) RANK 8 NODE 9 --> 4.13007879 sigma out 1act.( 6.92031288 sig in 11act.) RANK 9 NODE 14 --> 3.77012968 sigma out 1act.( 5.47363234 sig in 11act.) RANK 10 NODE 3 --> 3.66051269 sigma out 1act.( 6.98879004 sig in 11act.) RANK 11 NODE 1 --> 3.1965549 sigma out 1act.( 5.18709946 sig in 11act.) RANK 12 NODE 7 --> 1.95151258 sigma out 1act.( 3.37881017 sig in 11act.) RANK 13 NODE 6 --> 1.27875972 sigma out 1act.( 3.1066916 sig in 11act.) RANK 14 NODE 2 --> 0.667136788 sigma out 1act.( 3.65021491 sig in 11act.) RANK 15 NODE 10 --> 0.055670552 sigma out 1act.( 3.62683129 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 20.5994625 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.567431808 *** contribution from regularisation: 0.00988772511 *** contribution from error: -0.577319562 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -12947.6591 0.0303147864 0.366876394 EXIT FROM BFGS code FG_LNSRCH 0. 0.0806541145 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.567962527 *** contribution from regularisation: 0.00971817505 *** contribution from error: -0.577680707 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12959.7685 0.0806541145 0.575187504 EXIT FROM BFGS code FG_LNSRCH 0. 0.0858858451 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.569519043 *** contribution from regularisation: 0.00817959756 *** contribution from error: -0.577698648 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12995.2858 0.0858858451 0.570482075 EXIT FROM BFGS code FG_LNSRCH 0. 0.085973084 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.569068968 *** contribution from regularisation: 0.00863002241 *** contribution from error: -0.577699006 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12985.0153 0.085973084 0.595520258 EXIT FROM BFGS code FG_LNSRCH 0. 0.085973151 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.569313765 *** contribution from regularisation: 0.00838523638 *** contribution from error: -0.577699006 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12990.6009 0.085973151 0.58053422 EXIT FROM BFGS code FG_LNSRCH 0. 0.085973151 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.569161534 *** contribution from regularisation: 0.00853744987 *** contribution from error: -0.577699006 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12987.1277 0.085973151 0.594680309 EXIT FROM BFGS code FG_LNSRCH 0. 0.085973151 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.569245219 *** contribution from regularisation: 0.00845378172 *** contribution from error: -0.577699006 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12989.0368 0.085973151 0.574739277 EXIT FROM BFGS code NEW_X -12989.0368 0.085973151 0.574739277 ENTER BFGS code NEW_X -12989.0368 0.085973151 0.574739277 EXIT FROM BFGS code CONVERGENC -12989.0368 0.085973151 0.574739277 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 29.1454506 sigma out 15 active outputs RANK 2 NODE 1 --> 17.3914452 sigma out 15 active outputs RANK 3 NODE 4 --> 13.8015099 sigma out 15 active outputs RANK 4 NODE 3 --> 10.5066977 sigma out 15 active outputs RANK 5 NODE 11 --> 10.2532244 sigma out 15 active outputs RANK 6 NODE 7 --> 9.57274532 sigma out 15 active outputs RANK 7 NODE 8 --> 9.03889084 sigma out 15 active outputs RANK 8 NODE 2 --> 6.64138269 sigma out 15 active outputs RANK 9 NODE 6 --> 6.56616592 sigma out 15 active outputs RANK 10 NODE 5 --> 6.33651924 sigma out 15 active outputs RANK 11 NODE 9 --> 6.13480043 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 20.327095 sigma in 11act. ( 16.5616455 sig out 1act.) RANK 2 NODE 8 --> 18.6730595 sigma in 11act. ( 15.395484 sig out 1act.) RANK 3 NODE 5 --> 13.8000526 sigma in 11act. ( 10.9117699 sig out 1act.) RANK 4 NODE 11 --> 13.4756079 sigma in 11act. ( 9.3738308 sig out 1act.) RANK 5 NODE 13 --> 12.1067467 sigma in 11act. ( 9.75829411 sig out 1act.) RANK 6 NODE 4 --> 10.3241243 sigma in 11act. ( 10.0380659 sig out 1act.) RANK 7 NODE 12 --> 10.099432 sigma in 11act. ( 9.22531128 sig out 1act.) RANK 8 NODE 3 --> 10.0485373 sigma in 11act. ( 7.5018115 sig out 1act.) RANK 9 NODE 9 --> 9.35396576 sigma in 11act. ( 6.69632578 sig out 1act.) RANK 10 NODE 14 --> 8.45289803 sigma in 11act. ( 7.56633186 sig out 1act.) RANK 11 NODE 1 --> 7.41919422 sigma in 11act. ( 6.56313992 sig out 1act.) RANK 12 NODE 7 --> 5.19650221 sigma in 11act. ( 4.08226871 sig out 1act.) RANK 13 NODE 2 --> 5.08738184 sigma in 11act. ( 2.58196259 sig out 1act.) RANK 14 NODE 6 --> 4.53110266 sigma in 11act. ( 3.40885496 sig out 1act.) RANK 15 NODE 10 --> 4.33830786 sigma in 11act. ( 0.636231124 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 16.5616455 sigma out 1act.( 20.327095 sig in 11act.) RANK 2 NODE 8 --> 15.395484 sigma out 1act.( 18.6730595 sig in 11act.) RANK 3 NODE 5 --> 10.9117699 sigma out 1act.( 13.8000526 sig in 11act.) RANK 4 NODE 4 --> 10.0380659 sigma out 1act.( 10.3241243 sig in 11act.) RANK 5 NODE 13 --> 9.75829411 sigma out 1act.( 12.1067467 sig in 11act.) RANK 6 NODE 11 --> 9.3738308 sigma out 1act.( 13.4756079 sig in 11act.) RANK 7 NODE 12 --> 9.22531128 sigma out 1act.( 10.099432 sig in 11act.) RANK 8 NODE 14 --> 7.56633186 sigma out 1act.( 8.45289803 sig in 11act.) RANK 9 NODE 3 --> 7.5018115 sigma out 1act.( 10.0485373 sig in 11act.) RANK 10 NODE 9 --> 6.69632578 sigma out 1act.( 9.35396576 sig in 11act.) RANK 11 NODE 1 --> 6.56313992 sigma out 1act.( 7.41919422 sig in 11act.) RANK 12 NODE 7 --> 4.08226871 sigma out 1act.( 5.19650221 sig in 11act.) RANK 13 NODE 6 --> 3.40885496 sigma out 1act.( 4.53110266 sig in 11act.) RANK 14 NODE 2 --> 2.58196259 sigma out 1act.( 5.08738184 sig in 11act.) RANK 15 NODE 10 --> 0.636231124 sigma out 1act.( 4.33830786 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 35.1587334 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.569023788 *** contribution from regularisation: 0.00867520273 *** contribution from error: -0.577699006 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25970 Closing output file done