NNInput NNInputs_185.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= 74114 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 = 15424 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 15424 Chosen entries: 15424 Signal fraction: 1 Background fraction: 0.262805 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 15424 Entries to split: 15424 Test with : 7712 Train with : 7712 ********************************************* * 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= 15424 for Signal Prepared event 0 for Signal with 15424 events ====Entry 0 Variable Ht : 147.006 Variable LepAPt : 30.5393 Variable LepBPt : 15.4876 Variable MetSigLeptonsJets : 2.11691 Variable MetSpec : 17.0117 Variable SumEtLeptonsJets : 123.482 Variable VSumJetLeptonsPt : 38.8269 Variable addEt : 69.5511 Variable dPhiLepSumMet : 0.952509 Variable dPhiLeptons : 0.431247 Variable dRLeptons : 0.583611 Variable lep1_E : 46.6216 Variable lep2_E : 18.2884 ===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 = 2185 Ht = 147.006 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.5393 LepAPt = 30.5393 LepBEt = 15.4881 LepBPt = 15.4876 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 23.5237 MetDelPhi = 0.808389 MetSig = 1.71418 MetSigLeptonsJets = 2.11691 MetSpec = 17.0117 Mjj = 0 MostCentralJetEta = -1.43393 MtllMet = 76.1567 Njets = 1 SB = 0 SumEt = 188.32 SumEtJets = 0 SumEtLeptonsJets = 123.482 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 38.8269 addEt = 69.5511 dPhiLepSumMet = 0.952509 dPhiLeptons = 0.431247 dRLeptons = 0.583611 diltype = 52 dimass = 12.6791 event = 96 jet1_Et = 77.4552 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 46.6216 lep2_E = 18.2884 rand = 0.999742 run = 231298 weight = 2.74614e-06 ===Show End Prepared event 10000 for Signal with 15424 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= 58690 for Background Prepared event 0 for Background with 58690 events ====Entry 0 Variable Ht : 65.1543 Variable LepAPt : 20.8407 Variable LepBPt : 10.82 Variable MetSigLeptonsJets : 5.95247 Variable MetSpec : 33.4933 Variable SumEtLeptonsJets : 31.6607 Variable VSumJetLeptonsPt : 31.4507 Variable addEt : 65.1543 Variable dPhiLepSumMet : 3.01433 Variable dPhiLeptons : 0.243032 Variable dRLeptons : 0.763155 Variable lep1_E : 24.0883 Variable lep2_E : 10.9808 ===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 = 65.1543 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8411 LepAPt = 20.8407 LepBEt = 10.82 LepBPt = 10.82 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.4933 MetDelPhi = 2.93145 MetSig = 3.89076 MetSigLeptonsJets = 5.95247 MetSpec = 33.4933 Mjj = 0 MostCentralJetEta = 0 MtllMet = 67.7985 Njets = 0 SB = 0 SumEt = 74.1048 SumEtJets = 0 SumEtLeptonsJets = 31.6607 Target = 0 TrainWeight = 0.768929 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.4507 addEt = 65.1543 dPhiLepSumMet = 3.01433 dPhiLeptons = 0.243032 dRLeptons = 0.763155 diltype = 110 dimass = 11.6846 event = 12144548 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 24.0883 lep2_E = 10.9808 rand = 0.999742 run = 272126 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 58690 events Prepared event 20000 for Background with 58690 events Prepared event 30000 for Background with 58690 events Prepared event 40000 for Background with 58690 events Prepared event 50000 for Background with 58690 events Warning: found 1954 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 74114 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 1954 negative weights. Signal fraction: 63.4166069 % ------------------------------ 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 60.3929367 63.47295 65.7437668 67.46315 68.5226288 69.6463242 70.5298843 71.5342865 72.3156281 73.3379135 74.0158691 74.7018738 75.4353333 76.0820465 76.8767395 77.3627014 77.9117966 78.4127197 79.0571289 79.7756348 80.5640411 81.3073883 82.0712051 82.6578903 83.5609894 84.465744 85.5787506 86.5779495 87.9891891 89.3385544 91.1607056 93.1933594 95.5853119 97.5569229 99.4795227 101.203857 103.14035 104.827255 106.722656 108.687439 110.390511 111.809776 113.719185 115.707169 117.658989 119.582108 121.196609 122.873169 124.496521 126.111839 127.917007 129.600952 131.320557 132.779999 134.601974 136.01236 137.395615 139.09436 140.504776 142.116699 143.532593 145.205353 146.436554 147.855072 149.515106 151.210968 153.040222 154.846481 156.628754 158.429596 160.131607 161.658203 163.794983 165.638382 167.572952 169.391296 171.794464 173.784134 175.957764 178.459229 180.898224 183.441727 186.094574 188.651306 191.722458 194.740479 198.083267 201.866638 205.541412 210.016174 214.506897 219.903473 226.167847 232.613251 241.091599 251.29985 265.887207 286.180817 321.538452 807.860779 ------------------------------ Transdef: Tab for variable 3 20.0001068 20.3041954 20.5695076 20.8078289 21.0025444 21.2456322 21.4298363 21.6617603 21.8527069 22.0608711 22.308567 22.5331078 22.7451134 22.983181 23.2088146 23.4592247 23.6848946 23.8592758 24.0966759 24.3622513 24.594408 24.8421173 25.0940437 25.3281403 25.5506096 25.7412071 25.9361343 26.1753769 26.4205666 26.6237335 26.9562798 27.2182655 27.5020199 27.7718945 28.0148335 28.2652092 28.6071091 28.9068336 29.1647835 29.4582939 29.7940521 30.0944901 30.4508743 30.7946758 31.1216621 31.498312 31.8457451 32.20084 32.5323486 32.853653 33.2005539 33.5488243 33.9315262 34.3697662 34.8011169 35.2076492 35.6584396 36.1098022 36.4574432 36.8129654 37.1993828 37.6245728 38.033432 38.487114 38.8940735 39.309124 39.7927017 40.3207321 40.7856445 41.2938957 41.7739372 42.2362785 42.695961 43.205513 43.7515488 44.3347015 44.8950653 45.4781952 46.1876984 46.8017654 47.5117302 48.2197647 48.922348 49.7290649 50.3475037 51.2352982 52.2795372 53.3496742 54.2618561 55.3154068 56.3426247 57.5087852 58.8515167 60.2087708 61.4339981 63.2074738 64.9786682 67.342247 71.2227783 78.4775085 161.648132 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.117178 10.272316 10.4112358 10.5495224 10.6947365 10.841074 10.9798288 11.1241379 11.2630177 11.4006481 11.5230865 11.6708393 11.8444118 11.9768639 12.1495171 12.2698307 12.4253483 12.58671 12.7163105 12.8593578 13.0304012 13.2327766 13.4368267 13.6488419 13.8969126 14.0929117 14.2649794 14.4145432 14.6359539 14.8784008 15.137167 15.3849907 15.5783482 15.8090706 16.0640259 16.3091736 16.5285168 16.7450409 16.9996758 17.2559891 17.4376812 17.6745644 17.857975 18.1154575 18.3747444 18.594738 18.7985058 18.99543 19.2564583 19.4956245 19.7559528 20.0078735 20.2222157 20.4590569 20.6960793 20.9541492 21.1897392 21.4218578 21.6717377 21.922781 22.1531639 22.3729782 22.6172276 22.9120655 23.194809 23.4286728 23.6468887 23.8887787 24.1711941 24.4019775 24.6765747 24.9487572 25.2070961 25.4799805 25.752512 26.0577698 26.3535347 26.6422462 26.9612522 27.3046951 27.5999241 27.9719238 28.3319111 28.7507477 29.1236687 29.5331917 29.9749393 30.3606186 30.8451195 31.3144341 31.8564949 32.5462036 33.1836395 33.9934921 34.8502426 35.970871 37.3781548 38.9990463 43.0296631 72.7606735 ------------------------------ Transdef: Tab for variable 5 1.0635246 2.31256628 2.72331381 2.98558807 3.26001239 3.54881477 3.73905492 3.92271996 4.07360888 4.23253822 4.35126781 4.49266052 4.58789396 4.70530033 4.81347179 4.91901302 5.02497101 5.09260654 5.17218018 5.23758936 5.2980051 5.35798073 5.41120529 5.46070862 5.51133251 5.56234741 5.62240028 5.67952394 5.71948624 5.77023411 5.82193089 5.85655022 5.90429354 5.94707298 5.99090481 6.03239441 6.07990932 6.11995697 6.1615634 6.20245266 6.25625801 6.29629707 6.33468437 6.38422585 6.42320538 6.46408272 6.51157284 6.57437992 6.61636066 6.66240311 6.70089054 6.74557877 6.79167271 6.85095119 6.89372063 6.95812225 7.01183987 7.07065868 7.11792469 7.18375301 7.24237919 7.30278158 7.37028027 7.42669964 7.49065495 7.54951763 7.62683487 7.68729305 7.74120283 7.80514288 7.86817932 7.93263626 7.98662949 8.06031227 8.12818336 8.20200729 8.26370811 8.32461739 8.38901329 8.45627594 8.52727032 8.59613991 8.66248131 8.73356247 8.81082344 8.89070702 8.97452259 9.06564331 9.16142273 9.25211143 9.33785248 9.45208931 9.56618977 9.68693352 9.83174515 10.030406 10.2262478 10.4943113 10.9287491 11.6267262 19.687933 ------------------------------ Transdef: Tab for variable 6 15.0311012 17.4997768 19.4458237 21.417572 23.2903118 25.2597961 26.6673012 27.896183 28.877676 29.7671661 30.6091461 31.3625717 32.0628815 32.6224518 33.1759109 33.6465225 34.0577545 34.6188507 34.9626465 35.3385582 35.740799 36.1569939 36.5588989 36.9096603 37.277626 37.5883331 38.0009308 38.2935791 38.7202225 39.1103134 39.5417709 39.8611221 40.1817856 40.4686737 40.8210678 41.1963348 41.6740112 42.1745682 42.6562042 43.2028961 43.6449928 44.2737274 44.8203621 45.4869156 46.2083244 47.0129471 47.814415 48.6167068 49.3693886 50.1915741 50.9836884 51.7888145 52.6236382 53.4831085 54.364975 55.2414284 55.9984207 56.8132668 57.7345276 58.6811829 59.4996414 60.4715004 61.3287392 62.189682 62.9676094 63.9482117 64.7393951 65.6504211 66.4364166 67.338974 68.1238251 68.9364166 69.8205872 70.5326767 71.3120575 71.9561157 72.8451538 73.8329544 74.7310791 75.7435074 76.5649719 77.5628204 78.6575775 79.6475067 80.8235931 81.9163971 82.9530792 84.1386948 85.4221878 86.8569336 88.1818695 89.8137817 91.5719452 94.3110809 96.6327667 99.6781311 103.160156 108.286736 115.217865 128.450974 220.638458 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.1338882 33.2507324 33.8804398 34.5073013 35.0434113 35.5431976 36.0203209 36.3795052 36.7627869 37.1428757 37.4715576 37.8270073 38.147171 38.5338249 38.8852539 39.1592407 39.3953171 39.6620903 40.0061874 40.4126778 40.8006668 41.1241074 41.480648 42.0335159 42.4545822 43.2047806 43.8074913 44.5714264 45.2816849 46.358551 47.1494751 48.2991333 49.6656075 50.8437424 52.255127 53.4216232 54.4709282 55.4707413 56.4178619 57.4305954 58.528183 59.6244698 60.4659195 61.5720787 62.3455009 63.2793655 64.2162628 65.0737457 65.833252 66.7729645 67.6791687 68.5798569 69.516922 70.4824448 71.4658051 72.3278961 73.237587 74.0400925 74.966713 75.9424438 76.9833908 77.9104004 79.2021942 80.4631805 81.6152649 82.7400665 83.9526672 85.017746 86.4255447 87.7524109 89.0883484 90.4813995 91.631485 93.2539673 94.7748871 96.3790894 98.1923981 99.771286 101.650566 103.752441 105.747116 107.885895 110.375786 112.708191 115.548859 118.260178 121.182907 124.045029 127.855606 131.415741 134.994995 139.382965 145.06311 151.748169 159.660065 168.139832 179.88179 197.388519 227.794312 458.64209 ------------------------------ Transdef: Tab for variable 8 1.4176811 21.2644768 26.3103943 29.5839558 30.9162216 31.8669014 32.5963402 33.2489243 33.7162552 34.1586609 34.5192909 34.9239273 35.2615051 35.6019821 35.9938202 36.3002319 36.655014 36.9699402 37.2077713 37.4400597 37.7361603 38.1065521 38.4688034 38.7206192 38.962738 39.2639847 39.5212669 39.7678986 40.1526604 40.3917313 40.697876 41.0956497 41.5057526 41.8492317 42.3623924 42.7641907 43.3587494 43.8963966 44.3490982 44.9626007 45.8050232 46.4774399 47.0324669 47.8408012 48.5793839 49.3780899 50.044632 50.8651352 51.6908493 52.4105682 53.173111 53.9142609 54.6986847 55.4701576 56.2530479 56.991394 57.7613907 58.5629959 59.299099 60.0124588 60.7722168 61.3857994 62.1652527 62.8392944 63.5600204 64.1296387 64.8324738 65.4882812 66.1974258 66.8757629 67.6491852 68.4576874 69.3950348 70.1792603 70.8271637 71.5992203 72.3567963 73.1425781 73.9959183 74.8969727 75.7301559 76.6499634 77.6360779 78.6195831 79.6553192 80.7938461 82.0942078 83.2724686 84.4421005 86.0007477 87.3860168 88.9994965 90.9934845 93.327774 95.9488907 99.1343842 102.714958 107.683762 115.310837 128.030319 355.401855 ------------------------------ Transdef: Tab for variable 9 47.1748543 59.2289886 62.4459953 64.8004456 66.6121063 67.8092575 68.7372284 69.7177353 70.5035248 71.3724976 72.0903931 73.0276489 73.7526703 74.4010849 75.0410767 75.5814972 76.1906891 76.8836975 77.3433685 77.8206177 78.2709656 78.7955322 79.3814621 79.9750671 80.6591187 81.40625 81.9264145 82.5201569 83.0445709 83.8745117 84.5813599 85.5090714 86.3586884 87.399231 88.5862885 89.5786819 90.8557129 91.9977875 93.549942 95.1673126 96.8154831 98.2700195 99.700058 101.34124 102.813507 104.366158 105.938919 107.341309 109.187943 110.580429 111.914688 113.159431 114.626526 116.355911 117.815338 119.239861 120.539062 121.849503 123.292671 124.626923 125.72802 127.064957 128.385986 129.81926 131.099579 132.279236 133.297607 134.701813 135.76445 136.776321 138.013855 139.226242 140.480896 141.584961 142.851654 144.206238 145.47876 146.557892 147.882614 149.1371 150.597961 151.927185 153.322495 154.564163 156.113922 157.490143 159.002167 160.621765 162.340454 164.024994 165.595825 167.217651 169.609344 171.757294 174.251617 177.321198 180.849701 185.286652 192.118057 204.478058 403.443085 ------------------------------ Transdef: Tab for variable 10 0.00602381537 0.995926499 1.33309984 1.56734073 1.72926247 1.86804259 1.96247149 2.05005264 2.1178236 2.18463802 2.24127626 2.29612255 2.34532762 2.38531685 2.42811823 2.46422076 2.49787188 2.5255723 2.5508666 2.57368374 2.59778166 2.61954403 2.64321065 2.66500139 2.68402457 2.70340681 2.72274256 2.73792553 2.75607729 2.77303243 2.78936243 2.80588508 2.8174839 2.82788324 2.84281826 2.85603666 2.86634231 2.87551069 2.88454771 2.89605141 2.90456915 2.91286755 2.92124176 2.93034077 2.93680382 2.94284391 2.94920778 2.95667839 2.96269131 2.96962357 2.9749465 2.98179531 2.98692036 2.99232292 2.99742937 3.00141239 3.00640154 3.0109663 3.01501489 3.01957369 3.02333665 3.0276134 3.03115082 3.03419089 3.03820896 3.04180431 3.04556251 3.04914284 3.05258656 3.05651212 3.06017756 3.06378174 3.06796408 3.07103133 3.073874 3.07698727 3.08005333 3.0829978 3.08617878 3.08897758 3.09127641 3.09396791 3.09647202 3.09882402 3.1017437 3.10414743 3.10658836 3.10947585 3.11218548 3.11425257 3.11716127 3.11977053 3.12231112 3.124789 3.12713671 3.12930298 3.13172102 3.13398933 3.13638449 3.13892555 3.1415906 ------------------------------ Transdef: Tab for variable 11 2.03847885E-05 0.00576459989 0.0104997158 0.0149254575 0.0204026699 0.0267902687 0.0329740047 0.0401646942 0.0471876189 0.0521838665 0.058657188 0.0655073524 0.0727658868 0.078971684 0.0850636959 0.0904924273 0.0953287482 0.101741016 0.107533693 0.1141572 0.120353341 0.127209485 0.134070456 0.139367342 0.144957125 0.151584655 0.157137632 0.16316241 0.168896705 0.173610091 0.17866227 0.183986187 0.188913941 0.193001151 0.198026359 0.202133656 0.206289768 0.21003294 0.214780331 0.218847632 0.223303705 0.227279305 0.230531126 0.234490961 0.239068627 0.243457854 0.248595387 0.252942443 0.256678283 0.262424886 0.266783506 0.27151835 0.276254863 0.278951526 0.285260379 0.289528072 0.294964641 0.29988277 0.305285215 0.309305787 0.314020276 0.319106638 0.324074507 0.329215229 0.334708691 0.341212034 0.346409917 0.351503372 0.357709557 0.363742113 0.370062947 0.375942945 0.382941455 0.388796091 0.39567101 0.403070807 0.411353707 0.418220758 0.426016539 0.433703303 0.441464096 0.449050903 0.457623482 0.467287093 0.475605249 0.488227189 0.498350263 0.510115981 0.521472096 0.532419682 0.547061443 0.562965214 0.577673197 0.595205784 0.617928743 0.638605833 0.667407453 0.700446129 0.748595238 0.816482186 1.12033129 ------------------------------ Transdef: Tab for variable 12 0.200036287 0.207386643 0.213225245 0.217758417 0.223580942 0.228858441 0.23356843 0.23798196 0.243302286 0.24748154 0.252524316 0.256775856 0.26187706 0.266576469 0.271813035 0.276692569 0.281753391 0.286330938 0.290091723 0.294570923 0.298943162 0.303254962 0.30783844 0.312261283 0.315755725 0.319705874 0.324226588 0.328982741 0.333629429 0.337418944 0.341562212 0.346530557 0.350324869 0.35391292 0.358123362 0.363066077 0.367193341 0.371730924 0.37630251 0.380197883 0.384627461 0.389131159 0.393476546 0.397394538 0.400471866 0.405218869 0.409029305 0.413056016 0.417544723 0.421418011 0.426003665 0.430275917 0.434059083 0.438881218 0.44288826 0.448281914 0.453065872 0.45713082 0.461395681 0.465910792 0.469882548 0.474000931 0.478641629 0.484900177 0.490454376 0.495257646 0.499422282 0.505429029 0.510422766 0.515539169 0.520782351 0.526727796 0.533560872 0.539416194 0.546259046 0.553319931 0.559425533 0.566503763 0.574555695 0.580765843 0.586859643 0.592953622 0.60202527 0.609626651 0.618468285 0.626564026 0.63578248 0.646311402 0.659247518 0.670625091 0.680954337 0.696886718 0.711095095 0.729173064 0.750118256 0.767751098 0.789540827 0.814958692 0.854319096 0.894858539 1.13469779 ------------------------------ Transdef: Tab for variable 13 20.0376225 21.3895779 22.0029297 22.5034752 23.1571083 23.6449509 24.0385056 24.4840164 24.8802834 25.3137779 25.6400566 26.014904 26.3825855 26.825264 27.2069206 27.593338 27.9324837 28.2619896 28.6128387 28.953146 29.3379021 29.6971016 30.0743656 30.4179344 30.7844887 31.1060333 31.5013428 31.7742958 32.0857811 32.4110336 32.741272 33.078949 33.4178543 33.79702 34.1150093 34.5276909 34.8486328 35.2988281 35.6567879 36.0483093 36.4285889 36.8176117 37.1818771 37.6354065 38.0207329 38.3463135 38.8054161 39.2377319 39.6767502 40.0598145 40.537735 41.0769806 41.5919724 41.9891663 42.4763641 42.9692307 43.4168625 43.8057861 44.1717987 44.6363373 45.1139221 45.4930763 46.0007095 46.5452042 47.1445541 47.7367859 48.3039474 48.880455 49.4567413 50.1003838 50.7164574 51.3618851 52.1090508 52.6982422 53.3727531 54.1106491 54.8877678 55.6575851 56.2880249 56.8733177 57.865303 58.7092972 59.6538391 60.6309662 61.4664764 62.4599228 63.5817413 64.8242188 65.7363052 67.1591492 68.2948456 69.9076996 71.6361084 73.323761 75.8242645 78.2397919 81.5098419 85.6240616 91.4781799 100.559952 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0116768 10.6166496 11.0544987 11.408474 11.7999506 12.1246271 12.3589945 12.6559916 12.9309931 13.1760998 13.4092941 13.7251062 14.0013237 14.2554989 14.5330143 14.8325682 15.0715275 15.3043728 15.5722685 15.8740768 16.1558647 16.4081116 16.6931705 16.9110909 17.1800327 17.432869 17.7155533 17.9230919 18.1516552 18.4313622 18.7117252 19.0171661 19.2059002 19.4522743 19.811512 20.1518383 20.4199028 20.6410446 20.908474 21.1649418 21.4712849 21.7345753 22.0208511 22.2642517 22.5653133 22.8470955 23.1091347 23.383194 23.6104145 23.8815041 24.1389656 24.3769836 24.661541 24.9263821 25.1712513 25.4530144 25.6493416 25.9521236 26.2506332 26.4948692 26.8025742 27.0249329 27.3376274 27.5958328 27.8458519 28.1289043 28.404808 28.7105885 28.9743576 29.2664719 29.5466862 29.8683987 30.1593246 30.4907417 30.8457947 31.1986465 31.430315 31.8195534 32.2381859 32.6679916 33.1040344 33.5799255 33.9583435 34.4793701 34.8506775 35.3540802 35.9522858 36.5999336 37.2833023 37.8914528 38.5920334 39.4199371 40.4334908 41.5400162 42.7493668 44.3014183 45.83741 48.2194214 51.8459625 57.5489159 112.712608 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 67.7 56.3 53.2 29.9 47.4 65.7 55.9 65.1 -29.2 -10.6 -29.1 39.3 36.5 2 67.7 100.0 72.5 60.8 37.1 66.4 94.8 74.6 91.6 -44.7 -17.8 -41.0 54.9 43.4 3 56.3 72.5 100.0 48.4 18.9 40.4 73.9 58.7 78.0 -17.0 -20.7 -47.3 80.8 33.6 4 53.2 60.8 48.4 100.0 14.7 34.0 62.4 48.2 63.6 -15.3 -22.0 -47.9 37.9 81.9 5 29.9 37.1 18.9 14.7 100.0 85.4 10.0 64.2 60.0 24.8 -6.3 -9.9 11.0 7.7 6 47.4 66.4 40.4 34.0 85.4 100.0 45.2 82.3 79.1 -4.2 -10.9 -22.5 28.3 22.5 7 65.7 94.8 73.9 62.4 10.0 45.2 100.0 63.6 80.0 -54.3 -16.6 -41.0 57.0 45.6 8 55.9 74.6 58.7 48.2 64.2 82.3 63.6 100.0 84.5 -9.2 -16.9 -33.9 44.6 34.7 9 65.1 91.6 78.0 63.6 60.0 79.1 80.0 84.5 100.0 -19.2 -20.3 -44.9 60.4 46.2 10 -29.2 -44.7 -17.0 -15.3 24.8 -4.2 -54.3 -9.2 -19.2 100.0 2.5 9.5 -11.4 -10.3 11 -10.6 -17.8 -20.7 -22.0 -6.3 -10.9 -16.6 -16.9 -20.3 2.5 100.0 50.8 -15.7 -18.8 12 -29.1 -41.0 -47.3 -47.9 -9.9 -22.5 -41.0 -33.9 -44.9 9.5 50.8 100.0 -33.7 -30.7 13 39.3 54.9 80.8 37.9 11.0 28.3 57.0 44.6 60.4 -11.4 -15.7 -33.7 100.0 47.7 14 36.5 43.4 33.6 81.9 7.7 22.5 45.6 34.7 46.2 -10.3 -18.8 -30.7 47.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 173.522516 TOTAL CORRELATION OF ALL VARIABLES 73.6347625 ROUND 1: MAX CORR ( 73.616004) AFTER KILLING INPUT VARIABLE 11 CONTR 1.66198874 ROUND 2: MAX CORR ( 73.5980463) AFTER KILLING INPUT VARIABLE 2 CONTR 1.625922 ROUND 3: MAX CORR ( 73.5708111) AFTER KILLING INPUT VARIABLE 6 CONTR 2.00204102 ROUND 4: MAX CORR ( 73.5506765) AFTER KILLING INPUT VARIABLE 8 CONTR 1.72111538 ROUND 5: MAX CORR ( 73.5092071) AFTER KILLING INPUT VARIABLE 14 CONTR 2.46951248 ROUND 6: MAX CORR ( 73.3146631) AFTER KILLING INPUT VARIABLE 12 CONTR 5.34450129 ROUND 7: MAX CORR ( 73.1130903) AFTER KILLING INPUT VARIABLE 13 CONTR 5.43284943 ROUND 8: MAX CORR ( 72.7199669) AFTER KILLING INPUT VARIABLE 10 CONTR 7.57168368 ROUND 9: MAX CORR ( 71.3918038) AFTER KILLING INPUT VARIABLE 9 CONTR 13.8348811 ROUND 10: MAX CORR ( 71.0311389) AFTER KILLING INPUT VARIABLE 3 CONTR 7.16707405 ROUND 11: MAX CORR ( 69.7958523) AFTER KILLING INPUT VARIABLE 4 CONTR 13.1894542 ROUND 12: MAX CORR ( 65.7233448) AFTER KILLING INPUT VARIABLE 5 CONTR 23.4926146 LAST REMAINING VARIABLE: 7 total correlation to target: 73.6347625 % total significance: 81.1437266 sigma correlations of single variables to target: variable 2: 67.7206444 % , in sigma: 74.6265115 variable 3: 56.2525689 % , in sigma: 61.9889698 variable 4: 53.2404226 % , in sigma: 58.6696575 variable 5: 29.9389852 % , in sigma: 32.9920372 variable 6: 47.3833654 % , in sigma: 52.2153221 variable 7: 65.7233448 % , in sigma: 72.4255357 variable 8: 55.9094712 % , in sigma: 61.6108844 variable 9: 65.1374526 % , in sigma: 71.7798966 variable 10: -29.2408321 % , in sigma: 32.2226894 variable 11: -10.6217363 % , in sigma: 11.7048964 variable 12: -29.1000611 % , in sigma: 32.0675632 variable 13: 39.3417015 % , in sigma: 43.3536031 variable 14: 36.5077025 % , in sigma: 40.2306047 variables sorted by significance: 1 most relevant variable 7 corr 65.7233429 , in sigma: 72.4255336 2 most relevant variable 5 corr 23.4926147 , in sigma: 25.888293 3 most relevant variable 4 corr 13.1894541 , in sigma: 14.5344593 4 most relevant variable 3 corr 7.1670742 , in sigma: 7.89794235 5 most relevant variable 9 corr 13.8348808 , in sigma: 15.2457039 6 most relevant variable 10 corr 7.57168388 , in sigma: 8.34381243 7 most relevant variable 13 corr 5.43284941 , in sigma: 5.98686859 8 most relevant variable 12 corr 5.3445015 , in sigma: 5.88951133 9 most relevant variable 14 corr 2.46951246 , in sigma: 2.72134298 10 most relevant variable 8 corr 1.72111535 , in sigma: 1.89662747 11 most relevant variable 6 corr 2.0020411 , in sigma: 2.20620085 12 most relevant variable 2 corr 1.62592196 , in sigma: 1.79172666 13 most relevant variable 11 corr 1.66198874 , in sigma: 1.83147137 global correlations between input variables: variable 2: 99.2502394 % variable 3: 94.6801953 % variable 4: 92.7985522 % variable 5: 95.5638619 % variable 6: 94.5928541 % variable 7: 98.9732854 % variable 8: 90.5453552 % variable 9: 98.7965291 % variable 10: 73.5619583 % variable 11: 52.3550165 % variable 12: 68.8457697 % variable 13: 89.3799547 % variable 14: 90.304576 % significance loss when removing single variables: variable 2: corr = 1.7188279 % , sigma = 1.89410675 variable 3: corr = 14.2454341 % , sigma = 15.6981236 variable 4: corr = 13.9446016 % , sigma = 15.3666135 variable 5: corr = 16.5425329 % , sigma = 18.229471 variable 6: corr = 2.30891523 % , sigma = 2.54436872 variable 7: corr = 7.26987824 % , sigma = 8.01122992 variable 8: corr = 2.85236655 % , sigma = 3.14323892 variable 9: corr = 11.3025412 % , sigma = 12.455127 variable 10: corr = 7.92359145 % , sigma = 8.73160605 variable 11: corr = 1.66198874 % , sigma = 1.83147138 variable 12: corr = 4.33175185 % , sigma = 4.77348572 variable 13: corr = 3.04932385 % , sigma = 3.3602811 variable 14: corr = 2.30442179 % , sigma = 2.53941705 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 18.5861435 sigma out 15 active outputs RANK 2 NODE 7 --> 14.799366 sigma out 15 active outputs RANK 3 NODE 3 --> 14.1602955 sigma out 15 active outputs RANK 4 NODE 6 --> 12.4808521 sigma out 15 active outputs RANK 5 NODE 2 --> 12.1761637 sigma out 15 active outputs RANK 6 NODE 5 --> 12.1720037 sigma out 15 active outputs RANK 7 NODE 4 --> 11.7724028 sigma out 15 active outputs RANK 8 NODE 8 --> 11.2101002 sigma out 15 active outputs RANK 9 NODE 9 --> 11.1172314 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 17.6869869 sigma in 9act. ( 19.1047192 sig out 1act.) RANK 2 NODE 1 --> 17.6036777 sigma in 9act. ( 18.3412933 sig out 1act.) RANK 3 NODE 10 --> 15.5670195 sigma in 9act. ( 16.3364944 sig out 1act.) RANK 4 NODE 15 --> 12.2478037 sigma in 9act. ( 13.2312641 sig out 1act.) RANK 5 NODE 13 --> 11.7765608 sigma in 9act. ( 12.3669558 sig out 1act.) RANK 6 NODE 11 --> 10.7858152 sigma in 9act. ( 11.9966469 sig out 1act.) RANK 7 NODE 3 --> 8.90094948 sigma in 9act. ( 8.44510651 sig out 1act.) RANK 8 NODE 8 --> 8.52837753 sigma in 9act. ( 8.70146847 sig out 1act.) RANK 9 NODE 4 --> 7.93216372 sigma in 9act. ( 8.02416897 sig out 1act.) RANK 10 NODE 12 --> 7.83897543 sigma in 9act. ( 7.875669 sig out 1act.) RANK 11 NODE 5 --> 6.11475134 sigma in 9act. ( 6.95222473 sig out 1act.) RANK 12 NODE 14 --> 2.64425206 sigma in 9act. ( 3.1248138 sig out 1act.) RANK 13 NODE 7 --> 2.45988917 sigma in 9act. ( 2.82037711 sig out 1act.) RANK 14 NODE 2 --> 2.05250287 sigma in 9act. ( 1.62783003 sig out 1act.) RANK 15 NODE 9 --> 1.99020302 sigma in 9act. ( 1.31627893 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 19.1047192 sigma out 1act.( 17.6869869 sig in 9act.) RANK 2 NODE 1 --> 18.3412933 sigma out 1act.( 17.6036777 sig in 9act.) RANK 3 NODE 10 --> 16.3364944 sigma out 1act.( 15.5670195 sig in 9act.) RANK 4 NODE 15 --> 13.2312641 sigma out 1act.( 12.2478037 sig in 9act.) RANK 5 NODE 13 --> 12.3669558 sigma out 1act.( 11.7765608 sig in 9act.) RANK 6 NODE 11 --> 11.9966469 sigma out 1act.( 10.7858152 sig in 9act.) RANK 7 NODE 8 --> 8.70146847 sigma out 1act.( 8.52837753 sig in 9act.) RANK 8 NODE 3 --> 8.44510651 sigma out 1act.( 8.90094948 sig in 9act.) RANK 9 NODE 4 --> 8.02416897 sigma out 1act.( 7.93216372 sig in 9act.) RANK 10 NODE 12 --> 7.875669 sigma out 1act.( 7.83897543 sig in 9act.) RANK 11 NODE 5 --> 6.95222473 sigma out 1act.( 6.11475134 sig in 9act.) RANK 12 NODE 14 --> 3.1248138 sigma out 1act.( 2.64425206 sig in 9act.) RANK 13 NODE 7 --> 2.82037711 sigma out 1act.( 2.45988917 sig in 9act.) RANK 14 NODE 2 --> 1.62783003 sigma out 1act.( 2.05250287 sig in 9act.) RANK 15 NODE 9 --> 1.31627893 sigma out 1act.( 1.99020302 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 42.2384377 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 20.1813011 sigma out 15 active outputs RANK 2 NODE 1 --> 17.5495968 sigma out 15 active outputs RANK 3 NODE 7 --> 15.5573568 sigma out 15 active outputs RANK 4 NODE 3 --> 14.4363384 sigma out 15 active outputs RANK 5 NODE 6 --> 13.3218746 sigma out 15 active outputs RANK 6 NODE 9 --> 12.648303 sigma out 15 active outputs RANK 7 NODE 2 --> 12.3469934 sigma out 15 active outputs RANK 8 NODE 8 --> 11.9628134 sigma out 15 active outputs RANK 9 NODE 4 --> 11.677743 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 17.9919453 sigma in 9act. ( 17.8693333 sig out 1act.) RANK 2 NODE 6 --> 17.0070515 sigma in 9act. ( 17.112524 sig out 1act.) RANK 3 NODE 15 --> 14.0607548 sigma in 9act. ( 13.6307325 sig out 1act.) RANK 4 NODE 10 --> 13.6568441 sigma in 9act. ( 14.325511 sig out 1act.) RANK 5 NODE 11 --> 12.3278093 sigma in 9act. ( 11.6909504 sig out 1act.) RANK 6 NODE 14 --> 11.4702682 sigma in 9act. ( 5.10351992 sig out 1act.) RANK 7 NODE 4 --> 10.5989466 sigma in 9act. ( 7.59886503 sig out 1act.) RANK 8 NODE 13 --> 10.164875 sigma in 9act. ( 10.0737228 sig out 1act.) RANK 9 NODE 3 --> 9.71884632 sigma in 9act. ( 7.03669882 sig out 1act.) RANK 10 NODE 5 --> 9.55064392 sigma in 9act. ( 6.67803907 sig out 1act.) RANK 11 NODE 7 --> 8.66636181 sigma in 9act. ( 4.07336998 sig out 1act.) RANK 12 NODE 8 --> 8.48260498 sigma in 9act. ( 8.23283768 sig out 1act.) RANK 13 NODE 12 --> 7.09586382 sigma in 9act. ( 5.96143866 sig out 1act.) RANK 14 NODE 2 --> 6.13514996 sigma in 9act. ( 2.32342458 sig out 1act.) RANK 15 NODE 9 --> 4.24267435 sigma in 9act. ( 0.800386548 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 17.8693333 sigma out 1act.( 17.9919453 sig in 9act.) RANK 2 NODE 6 --> 17.112524 sigma out 1act.( 17.0070515 sig in 9act.) RANK 3 NODE 10 --> 14.325511 sigma out 1act.( 13.6568441 sig in 9act.) RANK 4 NODE 15 --> 13.6307325 sigma out 1act.( 14.0607548 sig in 9act.) RANK 5 NODE 11 --> 11.6909504 sigma out 1act.( 12.3278093 sig in 9act.) RANK 6 NODE 13 --> 10.0737228 sigma out 1act.( 10.164875 sig in 9act.) RANK 7 NODE 8 --> 8.23283768 sigma out 1act.( 8.48260498 sig in 9act.) RANK 8 NODE 4 --> 7.59886503 sigma out 1act.( 10.5989466 sig in 9act.) RANK 9 NODE 3 --> 7.03669882 sigma out 1act.( 9.71884632 sig in 9act.) RANK 10 NODE 5 --> 6.67803907 sigma out 1act.( 9.55064392 sig in 9act.) RANK 11 NODE 12 --> 5.96143866 sigma out 1act.( 7.09586382 sig in 9act.) RANK 12 NODE 14 --> 5.10351992 sigma out 1act.( 11.4702682 sig in 9act.) RANK 13 NODE 7 --> 4.07336998 sigma out 1act.( 8.66636181 sig in 9act.) RANK 14 NODE 2 --> 2.32342458 sigma out 1act.( 6.13514996 sig in 9act.) RANK 15 NODE 9 --> 0.800386548 sigma out 1act.( 4.24267435 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 39.3087311 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.479976624 *** contribution from regularisation: 0.00903704856 *** contribution from error: -0.489013672 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.539809525 *** contribution from regularisation: 0.00493749557 *** contribution from error: -0.544746995 *********************************************** -----------------> Test sample ENTER BFGS code START -20007.4273 0.0175993983 -0.0222861171 EXIT FROM BFGS code FG_START 0. 0.0175993983 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.56243825 *** contribution from regularisation: 0.00395189226 *** contribution from error: -0.566390157 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -20842.2742 0.0175993983 -45.1236267 EXIT FROM BFGS code FG_LNSRCH 0. -0.0215706583 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.584042549 *** contribution from regularisation: 0.00509316614 *** contribution from error: -0.589135706 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21642.8637 -0.0215706583 -20.5607243 EXIT FROM BFGS code NEW_X -21642.8637 -0.0215706583 -20.5607243 ENTER BFGS code NEW_X -21642.8637 -0.0215706583 -20.5607243 EXIT FROM BFGS code FG_LNSRCH 0. -0.0401537232 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.585409045 *** contribution from regularisation: 0.00514542963 *** contribution from error: -0.590554476 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21693.5019 -0.0401537232 -5.87167358 EXIT FROM BFGS code NEW_X -21693.5019 -0.0401537232 -5.87167358 ENTER BFGS code NEW_X -21693.5019 -0.0401537232 -5.87167358 EXIT FROM BFGS code FG_LNSRCH 0. -0.0508140735 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.585730076 *** contribution from regularisation: 0.00510484073 *** contribution from error: -0.590834916 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21705.4003 -0.0508140735 -0.496508509 EXIT FROM BFGS code NEW_X -21705.4003 -0.0508140735 -0.496508509 ENTER BFGS code NEW_X -21705.4003 -0.0508140735 -0.496508509 EXIT FROM BFGS code FG_LNSRCH 0. -0.0623524971 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.58588165 *** contribution from regularisation: 0.00493052276 *** contribution from error: -0.590812147 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21711.0158 -0.0623524971 2.40895391 EXIT FROM BFGS code NEW_X -21711.0158 -0.0623524971 2.40895391 ENTER BFGS code NEW_X -21711.0158 -0.0623524971 2.40895391 EXIT FROM BFGS code FG_LNSRCH 0. -0.082804203 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.586061239 *** contribution from regularisation: 0.00449143723 *** contribution from error: -0.590552688 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21717.6721 -0.082804203 5.11190224 EXIT FROM BFGS code NEW_X -21717.6721 -0.082804203 5.11190224 ENTER BFGS code NEW_X -21717.6721 -0.082804203 5.11190224 EXIT FROM BFGS code FG_LNSRCH 0. -0.165155038 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.584484577 *** contribution from regularisation: 0.00277521135 *** contribution from error: -0.587259769 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21659.2457 -0.165155038 -5.46917915 EXIT FROM BFGS code FG_LNSRCH 0. -0.0995353758 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 24.9372597 sigma out 15 active outputs RANK 2 NODE 1 --> 15.8066053 sigma out 15 active outputs RANK 3 NODE 9 --> 12.1367731 sigma out 15 active outputs RANK 4 NODE 7 --> 8.66631126 sigma out 15 active outputs RANK 5 NODE 3 --> 8.45016861 sigma out 15 active outputs RANK 6 NODE 6 --> 8.04973698 sigma out 15 active outputs RANK 7 NODE 2 --> 7.76767015 sigma out 15 active outputs RANK 8 NODE 8 --> 7.15666437 sigma out 15 active outputs RANK 9 NODE 4 --> 7.15529394 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 19.0872574 sigma in 9act. ( 11.983757 sig out 1act.) RANK 2 NODE 15 --> 13.142705 sigma in 9act. ( 8.73430443 sig out 1act.) RANK 3 NODE 1 --> 12.0253782 sigma in 9act. ( 8.52868843 sig out 1act.) RANK 4 NODE 7 --> 11.6701794 sigma in 9act. ( 6.89476156 sig out 1act.) RANK 5 NODE 6 --> 10.236824 sigma in 9act. ( 7.48177862 sig out 1act.) RANK 6 NODE 11 --> 9.81289005 sigma in 9act. ( 6.09747505 sig out 1act.) RANK 7 NODE 5 --> 9.20139027 sigma in 9act. ( 6.04062986 sig out 1act.) RANK 8 NODE 4 --> 8.53435898 sigma in 9act. ( 5.59554577 sig out 1act.) RANK 9 NODE 2 --> 7.9052186 sigma in 9act. ( 4.67651176 sig out 1act.) RANK 10 NODE 10 --> 6.31361341 sigma in 9act. ( 4.22286606 sig out 1act.) RANK 11 NODE 8 --> 6.18853188 sigma in 9act. ( 3.74809885 sig out 1act.) RANK 12 NODE 3 --> 5.98898077 sigma in 9act. ( 1.84814274 sig out 1act.) RANK 13 NODE 13 --> 4.1033721 sigma in 9act. ( 2.10735941 sig out 1act.) RANK 14 NODE 9 --> 3.60900187 sigma in 9act. ( 0.842642069 sig out 1act.) RANK 15 NODE 12 --> 3.20196033 sigma in 9act. ( 0.350699008 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 11.983757 sigma out 1act.( 19.0872574 sig in 9act.) RANK 2 NODE 15 --> 8.73430443 sigma out 1act.( 13.142705 sig in 9act.) RANK 3 NODE 1 --> 8.52868843 sigma out 1act.( 12.0253782 sig in 9act.) RANK 4 NODE 6 --> 7.48177862 sigma out 1act.( 10.236824 sig in 9act.) RANK 5 NODE 7 --> 6.89476156 sigma out 1act.( 11.6701794 sig in 9act.) RANK 6 NODE 11 --> 6.09747505 sigma out 1act.( 9.81289005 sig in 9act.) RANK 7 NODE 5 --> 6.04062986 sigma out 1act.( 9.20139027 sig in 9act.) RANK 8 NODE 4 --> 5.59554577 sigma out 1act.( 8.53435898 sig in 9act.) RANK 9 NODE 2 --> 4.67651176 sigma out 1act.( 7.9052186 sig in 9act.) RANK 10 NODE 10 --> 4.22286606 sigma out 1act.( 6.31361341 sig in 9act.) RANK 11 NODE 8 --> 3.74809885 sigma out 1act.( 6.18853188 sig in 9act.) RANK 12 NODE 13 --> 2.10735941 sigma out 1act.( 4.1033721 sig in 9act.) RANK 13 NODE 3 --> 1.84814274 sigma out 1act.( 5.98898077 sig in 9act.) RANK 14 NODE 9 --> 0.842642069 sigma out 1act.( 3.60900187 sig in 9act.) RANK 15 NODE 12 --> 0.350699008 sigma out 1act.( 3.20196033 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.7396412 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.581367552 *** contribution from regularisation: 0.00895859674 *** contribution from error: -0.59032613 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -21543.7371 -0.0995353758 4.84260798 EXIT FROM BFGS code FG_LNSRCH 0. -0.0831376761 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.586113811 *** contribution from regularisation: 0.00443546427 *** contribution from error: -0.59054929 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21719.6195 -0.0831376761 5.03749704 EXIT FROM BFGS code FG_LNSRCH 0. -0.0831535906 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.585445583 *** contribution from regularisation: 0.00510358857 *** contribution from error: -0.590549171 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21694.8572 -0.0831535906 4.95128632 EXIT FROM BFGS code FG_LNSRCH 0. -0.0831376761 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.585749626 *** contribution from regularisation: 0.0047996412 *** contribution from error: -0.59054929 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21706.1242 -0.0831376761 4.98652315 EXIT FROM BFGS code NEW_X -21706.1242 -0.0831376761 4.98652315 ENTER BFGS code NEW_X -21706.1242 -0.0831376761 4.98652315 EXIT FROM BFGS code CONVERGENC -21706.1242 -0.0831376761 4.98652315 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 32.1778603 sigma out 15 active outputs RANK 2 NODE 1 --> 23.9746113 sigma out 15 active outputs RANK 3 NODE 9 --> 16.3875465 sigma out 15 active outputs RANK 4 NODE 7 --> 13.1828241 sigma out 15 active outputs RANK 5 NODE 3 --> 12.2157021 sigma out 15 active outputs RANK 6 NODE 2 --> 11.9992037 sigma out 15 active outputs RANK 7 NODE 6 --> 11.3432846 sigma out 15 active outputs RANK 8 NODE 4 --> 9.54411411 sigma out 15 active outputs RANK 9 NODE 8 --> 9.18981361 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 27.4404087 sigma in 9act. ( 20.1528416 sig out 1act.) RANK 2 NODE 15 --> 19.3813477 sigma in 9act. ( 15.6641407 sig out 1act.) RANK 3 NODE 1 --> 17.4971066 sigma in 9act. ( 14.9100084 sig out 1act.) RANK 4 NODE 7 --> 15.7643919 sigma in 9act. ( 12.264986 sig out 1act.) RANK 5 NODE 6 --> 15.3185329 sigma in 9act. ( 13.4957228 sig out 1act.) RANK 6 NODE 11 --> 13.9332399 sigma in 9act. ( 11.5110798 sig out 1act.) RANK 7 NODE 5 --> 11.5418844 sigma in 9act. ( 10.2981358 sig out 1act.) RANK 8 NODE 4 --> 10.2523832 sigma in 9act. ( 9.76665497 sig out 1act.) RANK 9 NODE 2 --> 9.59670353 sigma in 9act. ( 7.83988142 sig out 1act.) RANK 10 NODE 8 --> 8.26560879 sigma in 9act. ( 6.39969635 sig out 1act.) RANK 11 NODE 10 --> 7.97585964 sigma in 9act. ( 8.01320553 sig out 1act.) RANK 12 NODE 3 --> 5.85056067 sigma in 9act. ( 4.07540798 sig out 1act.) RANK 13 NODE 13 --> 5.04526854 sigma in 9act. ( 4.23223448 sig out 1act.) RANK 14 NODE 9 --> 2.99138832 sigma in 9act. ( 1.52099347 sig out 1act.) RANK 15 NODE 12 --> 2.62533307 sigma in 9act. ( 1.02527034 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 20.1528416 sigma out 1act.( 27.4404087 sig in 9act.) RANK 2 NODE 15 --> 15.6641407 sigma out 1act.( 19.3813477 sig in 9act.) RANK 3 NODE 1 --> 14.9100084 sigma out 1act.( 17.4971066 sig in 9act.) RANK 4 NODE 6 --> 13.4957228 sigma out 1act.( 15.3185329 sig in 9act.) RANK 5 NODE 7 --> 12.264986 sigma out 1act.( 15.7643919 sig in 9act.) RANK 6 NODE 11 --> 11.5110798 sigma out 1act.( 13.9332399 sig in 9act.) RANK 7 NODE 5 --> 10.2981358 sigma out 1act.( 11.5418844 sig in 9act.) RANK 8 NODE 4 --> 9.76665497 sigma out 1act.( 10.2523832 sig in 9act.) RANK 9 NODE 10 --> 8.01320553 sigma out 1act.( 7.97585964 sig in 9act.) RANK 10 NODE 2 --> 7.83988142 sigma out 1act.( 9.59670353 sig in 9act.) RANK 11 NODE 8 --> 6.39969635 sigma out 1act.( 8.26560879 sig in 9act.) RANK 12 NODE 13 --> 4.23223448 sigma out 1act.( 5.04526854 sig in 9act.) RANK 13 NODE 3 --> 4.07540798 sigma out 1act.( 5.85056067 sig in 9act.) RANK 14 NODE 9 --> 1.52099347 sigma out 1act.( 2.99138832 sig in 9act.) RANK 15 NODE 12 --> 1.02527034 sigma out 1act.( 2.62533307 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 41.7712364 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.585533559 *** contribution from regularisation: 0.00501571735 *** contribution from error: -0.59054929 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done