NNInput NNInputs_190.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree Error in : error reading all requested bytes from file TMVAAna_out.root, got 228 of 300 Warning in : file TMVAAna_out.root has no keys Error in : Cannot find tree with name NNInput in file TMVAAna_out.root NNAna::CopyTree: entries= 171145 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 SBkg Entries: 141705 Sig Entries: 29440 Chosen entries: 29440 Signal fraction: 1 Background fraction: 0.207756 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 29440 Entries to split: 29440 Test with : 14720 Train with : 14720 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of ********************************************* * 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= 29440 for Signal Prepared event 0 for Signal with 29440 events ====Entry 0 Variable Ht : 164.033 Variable LepAPt : 20.0646 Variable LepBPt : 18.6389 Variable MetSigLeptonsJets : 6.96649 Variable MetSpec : 68.1982 Variable SumEtLeptonsJets : 95.8338 Variable VSumJetLeptonsPt : 84.1337 Variable addEt : 106.903 Variable dPhiLepSumMet : 2.65696 Variable dPhiLeptons : 0.471814 Variable dRLeptons : 0.543149 Variable lep1_E : 20.1541 Variable lep2_E : 18.9253 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2190 Ht = 164.033 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.0651 LepAPt = 20.0646 LepBEt = 18.6394 LepBPt = 18.6389 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 68.1982 MetDelPhi = 2.4122 MetSig = 5.50681 MetSigLeptonsJets = 6.96649 MetSpec = 68.1982 Mjj = 0 MostCentralJetEta = -1.38092 MtllMet = 107.269 Njets = 1 SB = 0 SumEt = 153.372 SumEtJets = 0 SumEtLeptonsJets = 95.8338 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 84.1337 addEt = 106.903 dPhiLepSumMet = 2.65696 dPhiLeptons = 0.471814 dRLeptons = 0.543149 diltype = 41 dimass = 10.4421 event = 86 jet1_Et = 57.1302 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 20.1541 lep2_E = 18.9253 rand = 0.999742 run = 228406 weight = 1.62738e-06 ===Show End Prepared event 10000 for Signal with 29440 events Prepared event 20000 for Signal with 29440 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= 141705 for Background Prepared event 0 for Background with 141705 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 = 0.167057 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 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepare << hh tt >> << hh ii tt >> << hh tttttt >> << ppppp hhhhhh ii tt >> << pp pp hhh hh ii ----- << 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 171145 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 4431 negative weights. Signal fraction: 62.2678223 % ------------------------------ 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 47.1748543 62.407074 64.7414856 66.6156845 68.1502151 69.162056 70.1897736 70.8768768 71.8596649 72.7504578 73.5082855 74.2977448 75.0466309 75.5782776 76.236084 76.9215012 77.4538727 78.2041931 78.8483887 79.4545135 80.0782623 80.7870331 81.4655304 82.1891708 82.8530121 83.588623 84.6064148 85.5706787 86.571022 87.7937622 88.9271469 90.5959473 92.0370941 93.4870758 95.0667648 96.6058655 98.2738342 99.7903366 101.512527 103.380699 104.683395 106.219727 108.097862 110.033813 111.592018 113.449371 115.49556 117.504837 119.442383 121.148026 122.853172 124.568909 126.263885 128.108322 129.716583 131.309998 133.112885 134.612778 136.337158 137.864197 139.441208 141.153671 142.762833 144.37822 145.931427 147.581299 149.031387 150.870056 152.507965 154.171021 155.892685 157.661499 159.319855 161.147202 163.094208 165.119598 167.280334 169.358231 171.526749 173.643188 175.867065 178.588501 180.967438 183.649796 186.464233 189.361267 192.794159 196.550354 200.637268 204.767166 208.936844 213.510956 218.411102 224.59671 232.482452 240.394836 251.716431 266.750488 285.728058 325.205933 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3752136 20.6566658 20.9845734 21.2246399 21.4933624 21.7448788 21.9781036 22.1783371 22.3918877 22.6340065 22.8605652 23.0728798 23.2765198 23.4731293 23.6949387 23.8745594 24.0795135 24.3131104 24.5575371 24.7935505 24.9951096 25.2013474 25.3949509 25.5844173 25.7328606 25.9519444 26.2133579 26.4298859 26.6896267 26.9077835 27.1349297 27.3727074 27.6327286 27.8324966 28.0576973 28.3019714 28.5582676 28.8296986 29.0652237 29.3204041 29.6161804 29.890234 30.1647263 30.497488 30.7454739 31.081955 31.4150696 31.7139149 32.0445099 32.373024 32.7585564 33.1134109 33.4577332 33.8173485 34.2089882 34.6122208 35.0168076 35.4009895 35.8232422 36.2601776 36.6710434 37.1462097 37.5998154 38.0454102 38.471981 38.9281387 39.4389534 39.9324265 40.4929886 41.037632 41.6334534 42.1767807 42.7856445 43.3667183 44.0002365 44.7070694 45.3780365 46.0063744 46.7614632 47.4804077 48.1652756 48.8806381 49.7557983 50.6583939 51.4882431 52.3969765 53.4095078 54.3748627 55.4169235 56.5908279 57.9366074 59.185936 60.6568375 62.4143181 64.5442505 66.6703491 69.5958862 73.4218597 81.1507111 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1253204 10.2481766 10.372097 10.4742117 10.6142273 10.7621918 10.8976374 11.0283871 11.1569157 11.3223648 11.4333191 11.5623446 11.7123404 11.8493462 11.9973106 12.1653519 12.3160763 12.4616966 12.6388874 12.7927055 12.9316092 13.0943985 13.2777004 13.4623957 13.6216888 13.7757292 13.9391289 14.1326656 14.2934456 14.4583502 14.6607018 14.8502197 15.0412197 15.2667713 15.432518 15.6485138 15.8318539 16.0669308 16.2599659 16.5042152 16.7352257 16.9426079 17.1854782 17.4370747 17.6896114 17.8900909 18.1250381 18.3598366 18.5541553 18.7975655 19.0255184 19.2651062 19.5117989 19.7413101 19.9720097 20.1826859 20.3248386 20.5403175 20.7399158 20.9835587 21.196701 21.4244804 21.6513367 21.8616447 22.0876579 22.3084984 22.5099182 22.7360439 22.9617386 23.1928177 23.4134293 23.6475906 23.900816 24.1561127 24.4336891 24.7115517 24.999342 25.2954865 25.6200867 25.8990669 26.1962929 26.5211105 26.8571472 27.2543411 27.5924797 27.9435177 28.3040543 28.7299385 29.1878967 29.6979256 30.3051567 30.868824 31.5455742 32.248127 33.0720978 34.2014008 35.4954224 37.3855209 41.1469612 71.4863358 ------------------------------ Transdef: Tab for variable 5 0.951345682 2.61807108 3.01982093 3.30445147 3.5913167 3.78883791 3.97748113 4.12758303 4.27629471 4.39559364 4.51931 4.61214447 4.71411514 4.81958199 4.92182159 5.00628567 5.07729721 5.14245033 5.20969296 5.28309298 5.34143162 5.39814186 5.45145035 5.507514 5.55194855 5.59729481 5.6421051 5.69090033 5.74515724 5.79702663 5.84229851 5.89108801 5.94172955 5.99325943 6.03905201 6.08152008 6.13030243 6.17805576 6.21746635 6.26676941 6.29441357 6.34307003 6.39134884 6.43867254 6.48155594 6.5253129 6.57463169 6.61870861 6.671453 6.72215986 6.76593971 6.81120443 6.85354185 6.8976903 6.95898914 7.00192547 7.05602407 7.11724138 7.17078638 7.2180934 7.27229786 7.33086395 7.39184666 7.44954395 7.51047945 7.56866264 7.62393093 7.69693089 7.76267719 7.8248024 7.88364029 7.94586945 8.01130104 8.07749748 8.1405859 8.20591164 8.26854324 8.33893585 8.40884113 8.4713726 8.54222393 8.62166595 8.68859386 8.75588226 8.83877945 8.91983414 8.99862671 9.08744812 9.185215 9.29221916 9.38944817 9.50148582 9.63749599 9.78237724 9.93987179 10.143364 10.3865108 10.7397709 11.149601 12.0058298 19.6063156 ------------------------------ Transdef: Tab for variable 6 15.0050735 20.8100662 25.0708237 26.1400146 27.1068516 27.7952633 28.7073193 29.5431881 30.3940849 31.0886803 31.6379318 32.2131958 32.7517853 33.2763596 33.7767754 34.2575607 34.6824341 34.9714928 35.4326096 35.7805634 36.2272873 36.5637131 36.8894653 37.3361206 37.657692 38.0330124 38.471035 38.862896 39.2362137 39.5658493 39.932312 40.3155441 40.6981125 41.1176376 41.5327492 41.9957352 42.4127197 42.8783302 43.2190361 43.7186241 44.1822128 44.6463547 45.2241974 45.81036 46.6021805 47.3885269 48.0112305 48.7967911 49.4312782 50.1299591 50.7293777 51.5693626 52.4219704 53.2489166 54.1314621 54.8681183 55.6623154 56.48983 57.2851067 58.1957054 58.9715805 59.7433929 60.6249924 61.5458031 62.3681259 63.2693634 64.09198 64.8627625 65.7549896 66.5868607 67.5071106 68.3198624 69.1188965 69.9546967 70.9369354 71.8087311 72.785202 73.7844391 74.6530075 75.5768738 76.4866714 77.52948 78.5935211 79.8434601 80.9668198 82.2467422 83.492691 84.7218704 86.07341 87.6140823 89.2943802 91.1673431 92.9230042 95.3180084 98.0798645 101.282593 105.374771 110.771812 117.490616 132.342789 263.73288 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.6167984 33.6135406 34.2151184 34.8656693 35.4352188 35.911911 36.2694702 36.6654778 37.1030502 37.4976082 37.827137 38.1473999 38.3938904 38.7132568 38.9944801 39.2524033 39.5294075 39.8579865 40.1827621 40.5705948 40.8966827 41.2859344 41.6226654 42.0728378 42.5519104 43.0568542 43.5851936 44.2360382 44.9483109 45.6617813 46.450676 47.3143196 48.3388672 49.2195663 50.2770462 51.3809891 52.6262627 53.5956573 54.5886917 55.6940193 56.5731087 57.5647812 58.515152 59.4255524 60.2998657 61.0617828 61.9711685 62.9579544 63.8849792 64.8637924 65.7711182 66.5792618 67.4672241 68.4778137 69.3740768 70.3445663 71.2883301 72.1560211 73.076561 74.0848999 75.1091003 76.1301498 77.0581665 78.2481232 79.1960754 80.4574509 81.5225525 82.8518524 84.1361084 85.5110779 86.8849792 88.330925 89.7961044 91.3008652 92.8619995 94.3806458 96.0810013 97.7634888 99.5301437 101.509445 103.238159 105.398773 107.352501 109.616501 112.033005 114.599625 117.321335 120.054871 123.376564 126.832069 130.855774 135.641388 140.592361 146.675903 152.746735 162.7034 174.692444 192.554535 219.648727 476.899628 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.9196529 28.8579636 30.8968334 31.8408775 32.6661453 33.1728897 33.7175522 34.0479622 34.5509644 34.9597397 35.3015823 35.678627 35.9971123 36.3349457 36.6417618 36.9483757 37.2338486 37.507843 37.7939301 38.0316086 38.2500458 38.5390015 38.8097878 39.0980606 39.4163246 39.735302 40.0372581 40.3323975 40.6586151 40.9023285 41.2930717 41.655632 42.0645218 42.4905396 42.9986267 43.5064163 43.9055786 44.3918533 45.0047684 45.5785179 46.2367859 46.808979 47.5163765 48.1076508 48.7382584 49.3793488 50.0242004 50.8117943 51.599678 52.4195442 53.1632652 53.8215675 54.579586 55.3886948 56.082222 56.8772278 57.6175766 58.3596916 59.1210365 59.8300743 60.6432228 61.4299164 62.1706467 62.9011803 63.6223373 64.4460754 65.0923691 65.7719574 66.4852676 67.2757263 68.0384979 68.8232269 69.5591965 70.3376617 71.194046 72.0812225 72.937561 73.855896 74.609787 75.5557861 76.4786072 77.4603577 78.4558334 79.3733978 80.4983368 81.6541748 83.0035248 84.4102631 85.9936905 87.5622864 89.4254456 91.4677582 93.8757324 96.3840485 99.5226059 103.634903 108.92247 117.483139 131.424011 326.868286 ------------------------------ Transdef: Tab for variable 9 47.1748543 61.5605431 63.890007 66.0094147 67.3899689 68.4789505 69.3968124 70.169754 70.7289734 71.4914246 72.2884903 73.0847092 73.8182068 74.43396 75.1379623 75.6411362 76.191391 76.8149567 77.2369614 77.8610382 78.3993225 79.0476456 79.5426254 80.0023041 80.620079 81.2572021 81.8897934 82.4649353 83.0721741 83.6281357 84.4518585 85.3326111 86.114624 86.8659897 87.8651428 88.7622757 90.0503998 91.2557678 92.3659973 93.5329742 94.8989944 96.1761856 97.7214584 99.0496826 100.623566 102.071854 103.769279 105.140152 106.615021 108.24202 109.608078 111.111816 112.525795 114.071213 115.347031 116.718796 118.1716 119.559631 120.825096 122.233681 123.501312 124.884171 126.22081 127.656761 128.858002 130.065567 131.251587 132.542908 133.854538 135.025879 136.441895 137.67038 138.818069 140.164551 141.47467 142.742264 144.057098 145.338638 146.749786 148.104156 149.438217 150.859528 152.29892 153.763184 155.254684 156.770264 158.462006 160.062164 161.904587 163.758179 165.73201 167.761566 170.380142 173.021225 175.983566 179.210739 183.375275 188.581573 194.915436 208.574097 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0335818008 1.07400584 1.38179123 1.60069346 1.75045156 1.87432504 1.99020648 2.06794882 2.13833141 2.20379734 2.26069164 2.31118727 2.35401678 2.39749527 2.43784976 2.47363043 2.50486135 2.53413582 2.56150675 2.58815098 2.61234093 2.63534904 2.65774441 2.67874479 2.69938612 2.72000742 2.73699903 2.7537837 2.77240705 2.78731394 2.80132365 2.8151648 2.82792807 2.83930779 2.84978724 2.85934734 2.86727381 2.87770271 2.88855553 2.89767814 2.90475082 2.91264367 2.91976547 2.92849088 2.93590593 2.94304395 2.94939184 2.95558119 2.96187305 2.96788788 2.97514272 2.98055768 2.98569202 2.99020457 2.99390793 2.99891949 3.00476503 3.00977993 3.01376748 3.0181179 3.02258587 3.02642798 3.0307579 3.03472662 3.03832102 3.04229045 3.04596376 3.05010629 3.05361295 3.05728245 3.06036305 3.06372571 3.06749725 3.0712328 3.07431602 3.07689381 3.08044529 3.08323836 3.08642578 3.08937073 3.09219193 3.09495497 3.09752607 3.10002518 3.10269547 3.10526609 3.10785246 3.1098361 3.11261177 3.11488056 3.11727428 3.11952686 3.12202954 3.12498665 3.12746859 3.12949562 3.13179302 3.13386059 3.13649416 3.1389215 3.1415906 ------------------------------ Transdef: Tab for variable 11 8.10623169E-06 0.00519537274 0.0100279972 0.0159970522 0.0218927898 0.0276650731 0.0352229849 0.0435671806 0.0507626534 0.0585344955 0.0656749606 0.0731977224 0.0805217028 0.0883464813 0.095354557 0.102404177 0.109524935 0.116397418 0.122802615 0.130000174 0.137533203 0.145041823 0.151534855 0.157252431 0.163390875 0.1699453 0.176434249 0.18226257 0.18869473 0.194242954 0.19925493 0.204975367 0.210954905 0.21763888 0.223578274 0.2285496 0.233331785 0.238232434 0.242926091 0.247868642 0.252815366 0.258033752 0.262459934 0.267312318 0.272851169 0.278106213 0.282651186 0.28785193 0.293448269 0.298897207 0.304037452 0.309813231 0.315229774 0.320514321 0.325609446 0.330839485 0.336055487 0.341750979 0.347562045 0.353385031 0.358325481 0.364114046 0.36868161 0.374958873 0.380705237 0.386780858 0.391777754 0.397684038 0.403622568 0.409790039 0.417143703 0.423215121 0.429449439 0.436393261 0.441641033 0.447829366 0.454849005 0.462132633 0.469578862 0.478223443 0.486682296 0.495815426 0.504275084 0.513112724 0.521995306 0.531174302 0.543585658 0.553943753 0.568150043 0.579287529 0.591826856 0.607735395 0.626389742 0.644145489 0.661295772 0.682320893 0.709416747 0.735538483 0.787039518 0.850259423 1.12525487 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.212138116 0.221676499 0.231470898 0.240242809 0.249096707 0.257115096 0.264243394 0.271215767 0.277427316 0.283540666 0.289318919 0.295373917 0.301609993 0.307634354 0.313930511 0.319474578 0.325244784 0.331140101 0.337181509 0.342904061 0.348330736 0.353313804 0.357696921 0.362381935 0.367803454 0.372656196 0.377452552 0.383184135 0.388234496 0.392242044 0.397006154 0.401373744 0.405286521 0.408795357 0.412315607 0.415952027 0.419677615 0.423472166 0.427113593 0.430843234 0.434846997 0.43808651 0.441556334 0.445422858 0.448998153 0.453261316 0.457337737 0.460937321 0.464405805 0.468490988 0.471913815 0.476251602 0.480100274 0.48414138 0.487972468 0.492670834 0.497126818 0.501349568 0.505709291 0.509997249 0.515511751 0.519919038 0.524798393 0.529713869 0.535130084 0.540648639 0.54643476 0.551713109 0.556530118 0.561591744 0.567127883 0.573102474 0.578804314 0.584631562 0.591176271 0.597291112 0.604819536 0.6117872 0.619348526 0.627334476 0.633725286 0.641893506 0.649952054 0.658240318 0.666729331 0.675678313 0.685464025 0.696111679 0.708291888 0.720886469 0.733557463 0.746193528 0.757267892 0.771628499 0.79196018 0.811465025 0.836663604 0.865762591 0.916230083 1.14213037 ------------------------------ Transdef: Tab for variable 13 20.0237312 21.7633629 22.474659 23.1584511 23.7350578 24.3439789 24.9113655 25.3467216 25.740303 26.1767921 26.7456856 27.1260872 27.5074501 27.9334259 28.2995453 28.685955 29.0099907 29.3542061 29.7577477 30.1337757 30.5117149 30.8786106 31.2980766 31.6452713 32.0185623 32.3911781 32.7566833 33.1412315 33.5613251 33.9297409 34.3449249 34.6125946 34.9857292 35.4208679 35.7897987 36.1726036 36.5517578 36.9859619 37.4008789 37.8118782 38.2429199 38.6172562 39.0505447 39.5191269 39.9564819 40.480835 40.9983902 41.4891319 41.9585724 42.4560852 42.9313202 43.4562492 43.9201508 44.4942474 45.0299149 45.5913162 46.1769867 46.6548538 47.1475754 47.6914902 48.1900635 48.7468529 49.2987518 49.923275 50.5690842 51.177475 51.8009491 52.5054779 53.1382751 53.8718719 54.5782242 55.3140755 56.014328 56.7914734 57.4555168 58.2580528 58.9799652 59.7665367 60.5344353 61.4824829 62.29953 63.1290283 64.1276245 65.2858658 66.3656921 67.5425262 68.8639755 69.9895782 71.2429504 72.6984863 74.4526901 76.2927399 77.8939514 80.3001175 82.7667236 85.5408173 88.9215546 92.7917557 99.3476486 110.671143 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.8105011 11.2866287 11.6676626 12.0184994 12.3437767 12.7206211 13.0495853 13.3912182 13.69417 13.922411 14.2021704 14.5346603 14.8454609 15.1423435 15.4411526 15.6928415 15.9878855 16.3358688 16.633707 16.9300537 17.2222862 17.557375 17.7773781 18.0491409 18.3223763 18.6037216 18.8646603 19.0835152 19.3215637 19.6169357 19.8746986 20.1931648 20.460186 20.6862183 20.9311676 21.1967125 21.4423828 21.6930275 21.9527817 22.1748924 22.4188957 22.6800404 22.9130783 23.1398468 23.3734207 23.6075935 23.8278904 24.0844727 24.3171196 24.5810966 24.8229103 25.0760117 25.3550358 25.5654144 25.7936687 26.0635262 26.3321381 26.6028576 26.8782768 27.1568489 27.4028816 27.6482124 27.8827248 28.1339493 28.3775253 28.6604404 28.9570389 29.2141914 29.5266743 29.8203087 30.1591415 30.5005302 30.869381 31.2098675 31.5018101 31.8787193 32.3076019 32.7267303 33.117981 33.5059509 33.9510193 34.4128761 34.9109268 35.463131 36.0746193 36.6313133 37.273201 38.0132828 38.7996826 39.7123375 40.4337082 41.4400291 42.6291695 44.0038261 45.2334175 47.4813232 50.3493233 54.0217781 60.7283859 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 67.4 53.7 52.6 33.3 51.4 64.9 57.3 65.7 -27.2 -19.6 -42.8 19.6 18.9 2 67.4 100.0 69.8 58.3 41.6 71.4 94.5 77.6 92.2 -42.8 -26.8 -53.4 37.6 27.5 3 53.7 69.8 100.0 44.0 21.5 43.6 71.2 61.0 77.2 -13.6 -27.9 -59.3 67.3 19.0 4 52.6 58.3 44.0 100.0 15.9 35.3 60.1 49.1 61.0 -14.1 -30.1 -61.3 20.1 67.4 5 33.3 41.6 21.5 15.9 100.0 85.6 14.3 62.1 62.2 22.5 -9.4 -16.7 6.0 1.3 6 51.4 71.4 43.6 35.3 85.6 100.0 50.8 81.1 81.9 -5.7 -17.6 -33.7 19.9 12.7 7 64.9 94.5 71.2 60.1 14.3 50.8 100.0 68.7 80.7 -52.0 -26.4 -53.8 40.4 30.7 8 57.3 77.6 61.0 49.1 62.1 81.1 68.7 100.0 85.4 -9.9 -26.2 -47.8 33.4 23.4 9 65.7 92.2 77.2 61.0 62.2 81.9 80.7 85.4 100.0 -18.3 -29.0 -58.6 44.3 29.9 10 -27.2 -42.8 -13.6 -14.1 22.5 -5.7 -52.0 -9.9 -18.3 100.0 4.1 9.6 -4.1 -4.6 11 -19.6 -26.8 -27.9 -30.1 -9.4 -17.6 -26.4 -26.2 -29.0 4.1 100.0 54.5 -13.0 -16.7 12 -42.8 -53.4 -59.3 -61.3 -16.7 -33.7 -53.8 -47.8 -58.6 9.6 54.5 100.0 -32.4 -32.2 13 19.6 37.6 67.3 20.1 6.0 19.9 40.4 33.4 44.3 -4.1 -13.0 -32.4 100.0 44.0 14 18.9 27.5 19.0 67.4 1.3 12.7 30.7 23.4 29.9 -4.6 -16.7 -32.2 44.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 171.610713 TOTAL CORRELATION OF ALL VARIABLES 73.5593828 ROUND 1: MAX CORR ( 73.5592282) AFTER KILLING INPUT VARIABLE 6 CONTR 0.15078206 ROUND 2: MAX CORR ( 73.5584825) AFTER KILLING INPUT VARIABLE 8 CONTR 0.331214027 ROUND 3: MAX CORR ( 73.5483021) AFTER KILLING INPUT VARIABLE 2 CONTR 1.22376891 ROUND 4: MAX CORR ( 73.5315479) AFTER KILLING INPUT VARIABLE 12 CONTR 1.56978058 ROUND 5: MAX CORR ( 73.4852202) AFTER KILLING INPUT VARIABLE 11 CONTR 2.60977989 ROUND 6: MAX CORR ( 73.3461084) AFTER KILLING INPUT VARIABLE 14 CONTR 4.51950984 ROUND 7: MAX CORR ( 73.0180741) AFTER KILLING INPUT VARIABLE 10 CONTR 6.92910343 ROUND 8: MAX CORR ( 72.3859302) AFTER KILLING INPUT VARIABLE 9 CONTR 9.58729622 ROUND 9: MAX CORR ( 71.1397936) AFTER KILLING INPUT VARIABLE 13 CONTR 13.3735803 ROUND 10: MAX CORR ( 70.8153616) AFTER KILLING INPUT VARIABLE 3 CONTR 6.78636907 ROUND 11: MAX CORR ( 69.245068) AFTER KILLING INPUT VARIABLE 4 CONTR 14.8302392 ROUND 12: MAX CORR ( 64.8711703) AFTER KILLING INPUT VARIABLE 5 CONTR 24.2200474 LAST REMAINING VARIABLE: 7 total correlation to target: 73.5593828 % total significance: 113.383287 sigma correlations of single variables to target: variable 2: 67.4385652 % , in sigma: 103.948754 variable 3: 53.7363237 % , in sigma: 82.8283325 variable 4: 52.5967067 % , in sigma: 81.0717446 variable 5: 33.2687399 % , in sigma: 51.2799176 variable 6: 51.3540315 % , in sigma: 79.1563045 variable 7: 64.8711703 % , in sigma: 99.9914117 variable 8: 57.3215725 % , in sigma: 88.3545791 variable 9: 65.7044294 % , in sigma: 101.275784 variable 10: -27.1914817 % , in sigma: 41.9125264 variable 11: -19.5738828 % , in sigma: 30.1708781 variable 12: -42.7870566 % , in sigma: 65.9513027 variable 13: 19.5516045 % , in sigma: 30.1365387 variable 14: 18.9105951 % , in sigma: 29.1484967 variables sorted by significance: 1 most relevant variable 7 corr 64.87117 , in sigma: 99.9914113 2 most relevant variable 5 corr 24.220047 , in sigma: 37.3324033 3 most relevant variable 4 corr 14.8302393 , in sigma: 22.8590999 4 most relevant variable 3 corr 6.78636885 , in sigma: 10.4604033 5 most relevant variable 13 corr 13.37358 , in sigma: 20.6138279 6 most relevant variable 9 corr 9.58729649 , in sigma: 14.7777095 7 most relevant variable 10 corr 6.92910337 , in sigma: 10.680412 8 most relevant variable 14 corr 4.51950979 , in sigma: 6.96630201 9 most relevant variable 11 corr 2.60977983 , in sigma: 4.022674 10 most relevant variable 12 corr 1.56978059 , in sigma: 2.41963535 11 most relevant variable 2 corr 1.22376895 , in sigma: 1.8862984 12 most relevant variable 8 corr 0.331214041 , in sigma: 0.510528164 13 most relevant variable 6 corr 0.150782064 , in sigma: 0.232413125 global correlations between input variables: variable 2: 99.2846741 % variable 3: 94.0377241 % variable 4: 90.7515534 % variable 5: 95.734604 % variable 6: 95.0826697 % variable 7: 98.928669 % variable 8: 90.9431472 % variable 9: 98.9028541 % variable 10: 71.8308442 % variable 11: 55.4960725 % variable 12: 78.4147883 % variable 13: 86.1710743 % variable 14: 86.2495115 % significance loss when removing single variables: variable 2: corr = 1.26265869 % , sigma = 1.94624244 variable 3: corr = 13.2524571 % , sigma = 20.4271311 variable 4: corr = 15.1316196 % , sigma = 23.3236429 variable 5: corr = 13.0629615 % , sigma = 20.1350454 variable 6: corr = 0.15078206 % , sigma = 0.232413119 variable 7: corr = 6.84090795 % , sigma = 10.544469 variable 8: corr = 0.363101701 % , sigma = 0.559679307 variable 9: corr = 8.04610044 % , sigma = 12.4021339 variable 10: corr = 6.3933463 % , sigma = 9.85460442 variable 11: corr = 1.65238224 % , sigma = 2.54695625 variable 12: corr = 1.57635188 % , sigma = 2.42976423 variable 13: corr = 5.53121108 % , sigma = 8.52572262 variable 14: corr = 4.55470563 % , sigma = 7.02055233 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 --> 20.2628918 sigma out 15 active outputs RANK 2 NODE 7 --> 13.7671728 sigma out 15 active outputs RANK 3 NODE 5 --> 13.4963512 sigma out 15 active outputs RANK 4 NODE 1 --> 13.1787577 sigma out 15 active outputs RANK 5 NODE 2 --> 12.4177103 sigma out 15 active outputs RANK 6 NODE 10 --> 12.0389681 sigma out 15 active outputs RANK 7 NODE 3 --> 11.8598213 sigma out 15 active outputs RANK 8 NODE 9 --> 11.554038 sigma out 15 active outputs RANK 9 NODE 8 --> 9.41666889 sigma out 15 active outputs RANK 10 NODE 6 --> 8.57547665 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 18.8315563 sigma in 10act. ( 20.4441185 sig out 1act.) RANK 2 NODE 2 --> 14.7856045 sigma in 10act. ( 15.1633682 sig out 1act.) RANK 3 NODE 5 --> 14.7798328 sigma in 10act. ( 16.5347137 sig out 1act.) RANK 4 NODE 9 --> 14.0303402 sigma in 10act. ( 15.4377403 sig out 1act.) RANK 5 NODE 10 --> 13.0544605 sigma in 10act. ( 14.2009802 sig out 1act.) RANK 6 NODE 11 --> 11.8585243 sigma in 10act. ( 14.9035578 sig out 1act.) RANK 7 NODE 13 --> 11.8211346 sigma in 10act. ( 14.3425674 sig out 1act.) RANK 8 NODE 8 --> 9.32081795 sigma in 10act. ( 9.04535389 sig out 1act.) RANK 9 NODE 7 --> 8.56567764 sigma in 10act. ( 8.38704967 sig out 1act.) RANK 10 NODE 15 --> 7.87105179 sigma in 10act. ( 9.19829369 sig out 1act.) RANK 11 NODE 12 --> 3.81021881 sigma in 10act. ( 4.77667379 sig out 1act.) RANK 12 NODE 4 --> 2.49876785 sigma in 10act. ( 1.80732131 sig out 1act.) RANK 13 NODE 14 --> 1.85859203 sigma in 10act. ( 1.04031456 sig out 1act.) RANK 14 NODE 6 --> 1.81603122 sigma in 10act. ( 2.23164129 sig out 1act.) RANK 15 NODE 3 --> 1.55455971 sigma in 10act. ( 1.92848754 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 20.4441185 sigma out 1act.( 18.8315563 sig in 10act.) RANK 2 NODE 5 --> 16.5347137 sigma out 1act.( 14.7798328 sig in 10act.) RANK 3 NODE 9 --> 15.4377403 sigma out 1act.( 14.0303402 sig in 10act.) RANK 4 NODE 2 --> 15.1633682 sigma out 1act.( 14.7856045 sig in 10act.) RANK 5 NODE 11 --> 14.9035578 sigma out 1act.( 11.8585243 sig in 10act.) RANK 6 NODE 13 --> 14.3425674 sigma out 1act.( 11.8211346 sig in 10act.) RANK 7 NODE 10 --> 14.2009802 sigma out 1act.( 13.0544605 sig in 10act.) RANK 8 NODE 15 --> 9.19829369 sigma out 1act.( 7.87105179 sig in 10act.) RANK 9 NODE 8 --> 9.04535389 sigma out 1act.( 9.32081795 sig in 10act.) RANK 10 NODE 7 --> 8.38704967 sigma out 1act.( 8.56567764 sig in 10act.) RANK 11 NODE 12 --> 4.77667379 sigma out 1act.( 3.81021881 sig in 10act.) RANK 12 NODE 6 --> 2.23164129 sigma out 1act.( 1.81603122 sig in 10act.) RANK 13 NODE 3 --> 1.92848754 sigma out 1act.( 1.55455971 sig in 10act.) RANK 14 NODE 4 --> 1.80732131 sigma out 1act.( 2.49876785 sig in 10act.) RANK 15 NODE 14 --> 1.04031456 sigma out 1act.( 1.85859203 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 45.4063606 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 21.5281429 sigma out 15 active outputs RANK 2 NODE 4 --> 20.4876881 sigma out 15 active outputs RANK 3 NODE 1 --> 15.2225218 sigma out 15 active outputs RANK 4 NODE 7 --> 15.1459036 sigma out 15 active outputs RANK 5 NODE 5 --> 14.2778692 sigma out 15 active outputs RANK 6 NODE 10 --> 13.8453131 sigma out 15 active outputs RANK 7 NODE 9 --> 13.6969194 sigma out 15 active outputs RANK 8 NODE 3 --> 12.5552664 sigma out 15 active outputs RANK 9 NODE 8 --> 11.3631363 sigma out 15 active outputs RANK 10 NODE 6 --> 10.3328543 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 20.0118046 sigma in 10act. ( 20.3964119 sig out 1act.) RANK 2 NODE 11 --> 16.0288811 sigma in 10act. ( 14.4470072 sig out 1act.) RANK 3 NODE 9 --> 15.5466633 sigma in 10act. ( 14.9500313 sig out 1act.) RANK 4 NODE 13 --> 15.5183277 sigma in 10act. ( 14.593009 sig out 1act.) RANK 5 NODE 5 --> 14.2875185 sigma in 10act. ( 15.1212912 sig out 1act.) RANK 6 NODE 2 --> 13.9771185 sigma in 10act. ( 13.5755186 sig out 1act.) RANK 7 NODE 10 --> 11.7011881 sigma in 10act. ( 12.3129435 sig out 1act.) RANK 8 NODE 15 --> 11.1499453 sigma in 10act. ( 9.84868717 sig out 1act.) RANK 9 NODE 6 --> 10.9489841 sigma in 10act. ( 3.80764556 sig out 1act.) RANK 10 NODE 8 --> 9.8125782 sigma in 10act. ( 7.95794916 sig out 1act.) RANK 11 NODE 12 --> 9.26425934 sigma in 10act. ( 5.50341272 sig out 1act.) RANK 12 NODE 3 --> 8.9051857 sigma in 10act. ( 3.38822722 sig out 1act.) RANK 13 NODE 7 --> 8.21342278 sigma in 10act. ( 7.04420042 sig out 1act.) RANK 14 NODE 4 --> 6.3973279 sigma in 10act. ( 1.7491163 sig out 1act.) RANK 15 NODE 14 --> 5.53900242 sigma in 10act. ( 1.05477464 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 20.3964119 sigma out 1act.( 20.0118046 sig in 10act.) RANK 2 NODE 5 --> 15.1212912 sigma out 1act.( 14.2875185 sig in 10act.) RANK 3 NODE 9 --> 14.9500313 sigma out 1act.( 15.5466633 sig in 10act.) RANK 4 NODE 13 --> 14.593009 sigma out 1act.( 15.5183277 sig in 10act.) RANK 5 NODE 11 --> 14.4470072 sigma out 1act.( 16.0288811 sig in 10act.) RANK 6 NODE 2 --> 13.5755186 sigma out 1act.( 13.9771185 sig in 10act.) RANK 7 NODE 10 --> 12.3129435 sigma out 1act.( 11.7011881 sig in 10act.) RANK 8 NODE 15 --> 9.84868717 sigma out 1act.( 11.1499453 sig in 10act.) RANK 9 NODE 8 --> 7.95794916 sigma out 1act.( 9.8125782 sig in 10act.) RANK 10 NODE 7 --> 7.04420042 sigma out 1act.( 8.21342278 sig in 10act.) RANK 11 NODE 12 --> 5.50341272 sigma out 1act.( 9.26425934 sig in 10act.) RANK 12 NODE 6 --> 3.80764556 sigma out 1act.( 10.9489841 sig in 10act.) RANK 13 NODE 3 --> 3.38822722 sigma out 1act.( 8.9051857 sig in 10act.) RANK 14 NODE 4 --> 1.7491163 sigma out 1act.( 6.3973279 sig in 10act.) RANK 15 NODE 14 --> 1.05477464 sigma out 1act.( 5.53900242 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.5445747 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.529537618 *** contribution from regularisation: 0.00425266754 *** contribution from error: -0.53379029 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.568506718 *** contribution from regularisation: 0.00238820561 *** contribution from error: -0.570894897 *********************************************** -----------------> Test sample ENTER BFGS code START -48656.8149 -0.0493365452 0.498961687 EXIT FROM BFGS code FG_START 0. -0.0493365452 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.590072274 *** contribution from regularisation: 0.00215913798 *** contribution from error: -0.592231393 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -50493.6638 -0.0493365452 77.5091553 EXIT FROM BFGS code FG_LNSRCH 0. -0.00112881255 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.60085541 *** contribution from regularisation: 0.00280812406 *** contribution from error: -0.603663564 *********************************************** -----------------> Test sample ENTER BFGS code FG_--------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.602499366 *** contribution from regularisation: 0.00274824025 *** contribution from error: -0.605247617 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51557.0764 0.00811078027 13.0497837 EXIT FROM BFGS code NEW_X -51557.0764 0.00811078027 13.0497837 ENTER BFGS code NEW_X -51557.0764 0.00811078027 13.0497837 EXIT FROM BFGS code FG_LNSRCH 0. 0.0193947721 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.602949798 *** contribution from regularisation: 0.00272479048 *** contribution from error: -0.605674565 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51595.6187 0.0193947721 7.91040611 EXIT FROM BFGS code NEW_X -51595.6187 0.0193947721 7.91040611 ENTER BFGS code NEW_X -51595.6187 0.0193947721 7.91040611 EXIT FROM BFGS code FG_LNSRCH 0. 0.0318960883 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.603037894 *** contribution from regularisation: 0.00273486949 *** contribution from error: -0.605772734 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51603.1579 0.0318960883 1.58520019 EXIT FROM BFGS code NEW_X -51603.1579 0.0318960883 1.58520019 ENTER BFGS code NEW_X -51603.1579 0.0318960883 1.58520019 EXIT FROM BFGS code FG_LNSRCH 0. 0.0452455729 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.603159487 *** contribution from regularisation: 0.00264414237 *** contribution from error: -0.605803609 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51613.5655 0.0452455729 -2.34957457 EXIT FROM BFGS code NEW_X -51613.5655 0.0452455729 -2.34957457 ENTER BFGS code NEW_X -51613.5655 0.0452455729 -2.34957457 EXIT FROM BFGS code FG_LNSRCH 0. 0.109299153 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.603031695 *** contribution from regularisation: 0.00198975275 *** contribution from error: -0.605021477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51602.6287 0.109299153 -16.7205906 EXIT FROM BFGS code FG_LNSRCH 0. 0.0626307577 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 26.464489 sigma out 15 active outputs RANK 2 NODE 1 --> 14.2367783 sigma out 15 active outputs RANK 3 NODE 9 --> 12.0211802 sigma out 15 active outputs RANK 4 NODE 10 --> 10.5048485 sigma out 15 active outputs RANK 5 NODE 4 --> 10.1935339 sigma out 15 active outputs RANK 6 NODE 8 --> 9.41073036 sigma out 15 active outputs RANK 7 NODE 7 --> 9.25936031 sigma out 15 active outputs RANK 8 NODE 5 --> 9.19538212 sigma out 15 active outputs RANK 9 NODE 3 --> 7.61455822 sigma out 15 active outputs RANK 10 NODE 6 --> 6.57272816 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 15.7522249 sigma in 10act. ( 10.2401104 sig out 1act.) RANK 2 NODE 11 --> 13.1848803 sigma in 10act. ( 10.3948135 sig out 1act.) RANK 3 NODE 13 --> 12.5258512 sigma in 10act. ( 9.48545647 sig out 1act.) RANK 4 NODE 1 --> 12.3975325 sigma in 10act. ( 9.64701176 sig out 1act.) RANK 5 NODE 3 --> 12.176672 sigma in 10act. ( 8.09095764 sig out 1act.) RANK 6 NODE 12 --> 11.8348618 sigma in 10act. ( 7.76980591 sig out 1act.) RANK 7 NODE 9 --> 11.262991 sigma in 10act. ( 7.99798393 sig out 1act.) RANK 8 NODE 15 --> 11.0508928 sigma in 10act. ( 7.77522039 sig out 1act.) RANK 9 NODE 5 --> 9.1028738 sigma in 10act. ( 7.14265966 sig out 1act.) RANK 10 NODE 10 --> 7.35771847 sigma in 10act. ( 5.73904324 sig out 1act.) RANK 11 NODE 4 --> 7.255476 sigma in 10act. ( 3.70878816 sig out 1act.) RANK 12 NODE 2 --> 7.19492245 sigma in 10act. ( 5.28325748 sig out 1act.) RANK 13 NODE 8 --> 6.41004229 sigma in 10act. ( 3.69797707 sig out 1act.) RANK 14 NODE 7 --> 6.13321638 sigma in 10act. ( 3.88127971 sig out 1act.) RANK 15 NODE 14 --> 5.64488125 sigma in 10act. ( 3.16444278 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 10.3948135 sigma out 1act.( 13.1848803 sig in 10act.) RANK 2 NODE 6 --> 10.2401104 sigma out 1act.( 15.7522249 sig in 10act.) RANK 3 NODE 1 --> 9.64701176 sigma out 1act.( 12.3975325 sig in 10act.) RANK 4 NODE 13 --> 9.48545647 sigma out 1act.( 12.5258512 sig in 10act.) RANK 5 NODE 3 --> 8.09095764 sigma out 1act.( 12.176672 sig in 10act.) RANK 6 NODE 9 --> 7.99798393 sigma out 1act.( 11.262991 sig in 10act.) RANK 7 NODE 15 --> 7.77522039 sigma out 1act.( 11.0508928 sig in 10act.) RANK 8 NODE 12 --> 7.76980591 sigma out 1act.( 11.8348618 sig in 10act.) RANK 9 NODE 5 --> 7.14265966 sigma out 1act.( 9.1028738 sig in 10act.) RANK 10 NODE 10 --> 5.73904324 sigma out 1act.( 7.35771847 sig in 10act.) RANK 11 NODE 2 --> 5.28325748 sigma out 1act.( 7.19492245 sig in 10act.) RANK 12 NODE 7 --> 3.88127971 sigma out 1act.( 6.13321638 sig in 10act.) RANK 13 NODE 4 --> 3.70878816 sigma out 1act.( 7.255476 sig in 10act.) RANK 14 NODE 8 --> 3.69797707 sigma out 1act.( 6.41004229 sig in 10act.) RANK 15 NODE 14 --> 3.16444278 sigma out 1act.( 5.64488125 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 28.4707069 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.601881325 *** contribution from regularisation: 0.00389475189 *** contribution from error: -0.605776072 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51504.1902 0.0626307577 -5.67163467 EXIT FROM BFGS code FG_LNSRCH 0. 0.0458111688 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.603108346 *** contribution from regularisation: 0.00269543007 *** contribution from error: -0.605803788 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51609.1879 0.0458111688 -2.37135386 EXIT FROM BFGS code FG_LNSRCH 0. 0.0452606641 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.602951765 *** contribution from regularisation: 0.00285187364 *** contribution from error: -0.605803609 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51595.7859 0.0452606641 -2.22073722 EXIT FROM BFGS code FG_LNSRCH 0. 0.0452455766 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.603028715 *** contribution from regularisation: 0.00277495617 *** contribution from error: -0.605803668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51602.3715 0.0452455766 -2.18816161 EXIT FROM BFGS code FG_LNSRCH 0. 0.0452455729 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.603041649 *** contribution from regularisation: 0.00276199519 *** contribution from error: -0.605803668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51603.4806 0.0452455729 -2.17967105 EXIT FROM BFGS code FG_LNSRCH 0. 0.0452455729 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.603017688 *** contribution from regularisation: 0.00278599141 *** contribution from error: -0.605803668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51601.4272 0.0452455729 -2.17427897 EXIT FROM BFGS code FG_LNSRCH 0. 0.0452455729 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.602996349 *** contribution from regularisation: 0.00280729262 *** contribution from error: -0.605803668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51599.6044 0.0452455729 -2.14677191 EXIT FROM BFGS code NEW_X -51599.6044 0.0452455729 -2.14677191 ENTER BFGS code NEW_X -51599.6044 0.0452455729 -2.14677191 EXIT FROM BFGS code CONVERGENC -51599.6044 0.0452455729 -2.14677191 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 41.3861122 sigma out 15 active outputs RANK 2 NODE 1 --> 24.4127884 sigma out 15 active outputs RANK 3 NODE 9 --> 19.6287861 sigma out 15 active outputs RANK 4 NODE 4 --> 17.8766384 sigma out 15 active outputs RANK 5 NODE 10 --> 17.5329971 sigma out 15 active outputs RANK 6 NODE 5 --> 15.4681911 sigma out 15 active outputs RANK 7 NODE 8 --> 14.9004841 sigma out 15 active outputs RANK 8 NODE 7 --> 14.7082157 sigma out 15 active outputs RANK 9 NODE 3 --> 12.9881325 sigma out 15 active outputs RANK 10 NODE 6 --> 11.0180006 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 24.7444305 sigma in 10act. ( 18.4304867 sig out 1act.) RANK 2 NODE 1 --> 23.2680168 sigma in 10act. ( 18.8489342 sig out 1act.) RANK 3 NODE 13 --> 21.1830006 sigma in 10act. ( 18.9989548 sig out 1act.) RANK 4 NODE 11 --> 20.0914955 sigma in 10act. ( 20.4700413 sig out 1act.) RANK 5 NODE 15 --> 19.0948849 sigma in 10act. ( 15.3443203 sig out 1act.) RANK 6 NODE 9 --> 18.936594 sigma in 10act. ( 17.0230312 sig out 1act.) RANK 7 NODE 12 --> 18.6237011 sigma in 10act. ( 14.7419796 sig out 1act.) RANK 8 NODE 3 --> 18.5498981 sigma in 10act. ( 15.7371292 sig out 1act.) RANK 9 NODE 5 --> 15.7470627 sigma in 10act. ( 14.1306496 sig out 1act.) RANK 10 NODE 10 --> 12.611681 sigma in 10act. ( 10.6012802 sig out 1act.) RANK 11 NODE 2 --> 10.9424 sigma in 10act. ( 10.6849213 sig out 1act.) RANK 12 NODE 4 --> 10.6631489 sigma in 10act. ( 6.85165024 sig out 1act.) RANK 13 NODE 8 --> 9.24446011 sigma in 10act. ( 7.72150707 sig out 1act.) RANK 14 NODE 7 --> 9.17823792 sigma in 10act. ( 7.39256668 sig out 1act.) RANK 15 NODE 14 --> 7.64095592 sigma in 10act. ( 5.96930408 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 20.4700413 sigma out 1act.( 20.0914955 sig in 10act.) RANK 2 NODE 13 --> 18.9989548 sigma out 1act.( 21.1830006 sig in 10act.) RANK 3 NODE 1 --> 18.8489342 sigma out 1act.( 23.2680168 sig in 10act.) RANK 4 NODE 6 --> 18.4304867 sigma out 1act.( 24.7444305 sig in 10act.) RANK 5 NODE 9 --> 17.0230312 sigma out 1act.( 18.936594 sig in 10act.) RANK 6 NODE 3 --> 15.7371292 sigma out 1act.( 18.5498981 sig in 10act.) RANK 7 NODE 15 --> 15.3443203 sigma out 1act.( 19.0948849 sig in 10act.) RANK 8 NODE 12 --> 14.7419796 sigma out 1act.( 18.6237011 sig in 10act.) RANK 9 NODE 5 --> 14.1306496 sigma out 1act.( 15.7470627 sig in 10act.) RANK 10 NODE 2 --> 10.6849213 sigma out 1act.( 10.9424 sig in 10act.) RANK 11 NODE 10 --> 10.6012802 sigma out 1act.( 12.611681 sig in 10act.) RANK 12 NODE 8 --> 7.72150707 sigma out 1act.( 9.24446011 sig in 10act.) RANK 13 NODE 7 --> 7.39256668 sigma out 1act.( 9.17823792 sig in 10act.) RANK 14 NODE 4 --> 6.85165024 sigma out 1act.( 10.6631489 sig in 10act.) RANK 15 NODE 14 --> 5.96930408 sigma out 1act.( 7.64095592 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 55.5719566 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.603031278 *** contribution from regularisation: 0.00277239969 *** contribution from error: -0.605803668 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done