NNInput NNInputs_200.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree 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= 162315 file= 0 options= lep1_E<400&&lep2_E<400&& SBRatio= 0 wt= 1 SorB = 2 NNAna::CopyTree: SigChoice: lep1_E<400&&lep2_E<400&&Target==1 BkgChoice: lep1_E<400&&lep2_E<400&&Target==0 Creating Signal tree for file: 0 weight: 1 SBRatio = 0 Using copy string: lep1_E<400&&lep2_E<400&&Target==1 Creating Background tree for file: 0 weight: 1 SBRatio = 0 Using copy string: lep1_E<400&&lep2_E<400&&Target==0 NNAna::CopyTree: nsig = 22515 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 22515 Chosen entries: 22515 Signal fraction: 1 Background fraction: 0.161051 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 22515 Entries to split: 22515 Test with : 11257 Train with : 11257 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 14 Your number of nodes in the hidden layer is: 15 Your number of nodes in the output layer is: 1 You want to do classification You want to use the global preprocessing flag 812 You want to use standard regularisation You use entropy as a loss function You want to use the BFGS algorithm You do not want to fix the shape You use 50 % of patterns for training Weight update after 200 events You want to speed up learning by a factor of 1. You want to limit the learning rate to 0.5 You want to run 250 iterations NeuroBayesTeacher::NB_DEF_DEBUG : setting debug level to 0 You are not allowed to change the debug flag. This is only permitted with a developers licence. NBTreeReportInterval = 10000 NBTreePrepEvPrint = 1 Start Set Inidividual Variable Preprocessing Not touching individual preprocessing for Ht ( 0 ) in Neurobayes Not touching individual preprocessing for LepAPt ( 1 ) in Neurobayes Not touching individual preprocessing for LepBPt ( 2 ) in Neurobayes Not touching individual preprocessing for MetSigLeptonsJets ( 3 ) in Neurobayes Not touching individual preprocessing for MetSpec ( 4 ) in Neurobayes Not touching individual preprocessing for SumEtLeptonsJets ( 5 ) in Neurobayes Not touching individual preprocessing for VSumJetLeptonsPt ( 6 ) in Neurobayes Not touching individual preprocessing for addEt ( 7 ) in Neurobayes Not touching individual preprocessing for dPhiLepSumMet ( 8 ) in Neurobayes Not touching individual preprocessing for dPhiLeptons ( 9 ) in Neurobayes Not touching individual preprocessing for dRLeptons ( 10 ) in Neurobayes Not touching individual preprocessing for lep1_E ( 11 ) in Neurobayes Not touching individual preprocessing for lep2_E ( 12 ) in Neurobayes End Set Inidividual Variable Preprocessing Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 22515 for Signal Prepared event 0 for Signal with 22515 events ====Entry 0 Variable Ht : 152.764 Variable LepAPt : 33.6093 Variable LepBPt : 15.3084 Variable MetSigLeptonsJets : 8.99012 Variable MetSpec : 77.8251 Variable SumEtLeptonsJets : 74.9391 Variable VSumJetLeptonsPt : 71.9347 Variable addEt : 126.743 Variable dPhiLepSumMet : 2.71571 Variable dPhiLeptons : 0.104355 Variable dRLeptons : 0.619509 Variable lep1_E : 34.354 Variable lep2_E : 20.7615 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2200 Ht = 152.764 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 33.6093 LepAPt = 33.6093 LepBEt = 15.3088 LepBPt = 15.3084 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 77.8251 MetDelPhi = 2.68307 MetSig = 6.17532 MetSigLeptonsJets = 8.99012 MetSpec = 77.8251 Mjj = 0 MostCentralJetEta = 0.104936 MtllMet = 131.249 Njets = 1 SB = 0 SumEt = 158.825 SumEtJets = 0 SumEtLeptonsJets = 74.9391 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 71.9347 addEt = 126.743 dPhiLepSumMet = 2.71571 dPhiLeptons = 0.104355 dRLeptons = 0.619509 diltype = 54 dimass = 14.2669 event = 542 jet1_Et = 26.0214 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 34.354 lep2_E = 20.7615 rand = 0.999742 run = 196099 weight = 1.72479e-06 ===Show End Prepared event 10000 for Signal with 22515 events Prepared event 20000 for Signal with 22515 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 139800 for Background Prepared event 0 for Background with 139800 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.124957 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 = 0.00331651 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4294 negative weights. << hh tt >> << hh ii tt >> << hh tttttt >> << ppppp hhhhhh ii tt >> << pp pp hhh hh ii ----- tt >> << pp pp hh hh ii ----- tt >> << ppppp hh hh ii tt >> pp pp ////////////////////////////// pp \\\\\\\\\\\\\\\ Phi-T(R) NeuroBayes(R) Teacher Algorithms by Michael Feindt Implementation by Phi-T Project 2001-2003 Copyright Phi-T GmbH Version 20080312 Library compiled with: NB_MAXPATTERN= 1500000 NB_MAXNODE = 100 ----------------------------------- found 162315 samples to learn from preprocessing flags/parameters: global preprocessing flag: 812 individual preprocessing: now perform preprocessing *** called with option 12 *** This will do for you: *** input variable equalisation *** to Gaussian distribution with mean=0 and sigma=1 *** Then variables are decorrelated ************************************ Warning: found 4294 negative weights. Signal fraction: 62.9486504 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 60.0046387 62.7832909 65.1852112 66.9626007 68.3233032 69.5273056 70.3957596 71.216217 71.9978485 72.9444962 73.8118591 74.3297119 75.0520172 75.6184769 76.2579041 76.9855652 77.5608978 78.3104553 78.9749146 79.498764 80.058609 80.9422379 81.5929718 82.2980652 82.8867798 83.8063736 84.838295 85.8951569 87.0307159 88.4270477 89.4974594 90.9123993 92.2533264 93.9098282 95.682663 97.1977844 98.9769592 100.482712 102.031761 103.934372 105.473724 106.793839 108.401581 110.104103 111.823929 113.583031 115.549637 117.282852 118.904831 120.422195 122.095291 123.786293 125.460777 127.328911 129.054321 130.793045 132.483932 134.147705 135.801605 137.443207 139.153259 140.806198 142.429825 144.046906 145.834625 147.561676 149.28241 151.010345 153.021912 154.7948 156.556702 158.229218 160.343292 162.206635 164.379089 166.703705 169.058426 171.278473 173.350006 175.935242 177.958466 180.636017 183.244812 185.953552 189.032349 192.320694 195.460907 199.174438 202.679016 206.769684 211.479309 216.446701 221.687653 228.482651 235.85556 244.996277 255.596344 271.280518 293.036804 327.095978 969.742371 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3627625 20.6499443 20.9612141 21.2093067 21.4859142 21.7344589 21.9833279 22.208149 22.4267464 22.6667137 22.8931198 23.1027069 23.2924767 23.5364647 23.7144279 23.8916283 24.1195908 24.3606529 24.5645428 24.8018417 25.0417786 25.2328606 25.4124756 25.5971527 25.8045101 26.0420952 26.2692223 26.523777 26.7519665 26.9716206 27.1986275 27.434906 27.6540527 27.8587914 28.1031265 28.338604 28.5990143 28.8333626 29.0858498 29.3186188 29.6176605 29.8488274 30.1457691 30.4700546 30.749424 31.0623436 31.3922653 31.6796036 32.0337219 32.3863029 32.6965561 33.0387001 33.4439926 33.8323708 34.2134895 34.6779022 35.0876617 35.4843369 35.8944359 36.3242798 36.8286018 37.3536377 37.8660812 38.3891068 38.8692589 39.2508545 39.7751923 40.2822227 40.7874985 41.4329681 41.9424477 42.5060577 43.0685501 43.7195969 44.442482 45.0635681 45.7386017 46.3518066 47.1118164 47.9434967 48.8005676 49.7601852 50.6125107 51.5778732 52.662529 53.8607941 54.9611053 55.9162064 57.0826416 58.430233 59.7587929 61.4682007 63.1452332 65.0500183 67.4262695 70.3945694 73.5285339 77.6032181 86.0194397 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1003456 10.2333221 10.3435402 10.4521523 10.5633831 10.7015839 10.8404198 10.9739304 11.0927715 11.227725 11.3608818 11.4738636 11.6049843 11.7535744 11.9154911 12.0735493 12.2389622 12.376297 12.5424347 12.7104645 12.8445053 13.0035095 13.1679926 13.358696 13.5374832 13.6879759 13.8687191 14.0522242 14.191268 14.3509064 14.5466089 14.7569218 14.9523506 15.1324863 15.3649721 15.5244732 15.6912603 15.8629456 16.0484333 16.2694397 16.4714622 16.6688633 16.8592186 17.0596771 17.2853394 17.4929581 17.7175903 17.9116573 18.1326733 18.3608932 18.5397854 18.7686844 18.9971695 19.1868782 19.3887825 19.6185684 19.8430939 20.0602837 20.2479057 20.3781891 20.5766449 20.7505264 20.9864044 21.1721611 21.3618126 21.5684834 21.7773418 21.9535637 22.1077213 22.3230972 22.5583801 22.7950935 23.019825 23.2891769 23.5414505 23.7712517 24.0232315 24.2936363 24.5613403 24.8466625 25.1274872 25.4583874 25.8173943 26.2557945 26.6738319 27.0118637 27.344574 27.7643471 28.1635857 28.6725883 29.2367783 29.7427368 30.2955437 31.0847149 32.0033112 32.9419212 34.3214722 36.4209366 40.2637558 67.2960663 ------------------------------ Transdef: Tab for variable 5 1.26162112 2.60750961 3.07248974 3.3857069 3.69357109 3.96009803 4.10854053 4.23085022 4.35771894 4.47801876 4.57561302 4.66623592 4.75997066 4.85117531 4.93750906 5.01104164 5.07781076 5.15227365 5.21851492 5.28426552 5.34705305 5.40124989 5.45520639 5.51156235 5.55013609 5.59813213 5.64690685 5.69623089 5.74847078 5.79927683 5.84721184 5.89986706 5.93855333 5.98322582 6.0305233 6.07804585 6.12619781 6.17902184 6.22003317 6.26559258 6.31345081 6.35343695 6.40103912 6.44242477 6.49537849 6.54317951 6.59563875 6.64051628 6.69124317 6.74023628 6.77718925 6.83351374 6.87757111 6.9285183 6.98087978 7.04163599 7.0870266 7.15268517 7.20205307 7.25040388 7.30572033 7.36514568 7.41886187 7.4808898 7.5281539 7.59809685 7.65558958 7.71575165 7.76465321 7.82441998 7.88219643 7.94518137 8.00395012 8.07284164 8.13715744 8.20799255 8.25416756 8.32283878 8.40024948 8.47881126 8.54394341 8.62764549 8.70252609 8.77859211 8.8561058 8.94490433 9.02409363 9.11872673 9.21661854 9.31887341 9.44593048 9.55929852 9.69241333 9.84752941 10.0076342 10.2215776 10.4613266 10.7848902 11.2452793 11.9905577 23.5099583 ------------------------------ Transdef: Tab for variable 6 15.0101337 20.846138 25.4706497 26.5353813 27.3644447 28.2156353 29.0672493 29.8578682 30.6471176 31.2392387 31.7781639 32.3972931 32.9171143 33.4510689 33.9626083 34.4035721 34.7678642 35.1908302 35.6576157 36.1207504 36.4897766 36.8835144 37.2591057 37.6043777 37.9290123 38.2856255 38.6739655 39.0051346 39.3971252 39.7968826 40.2447052 40.513092 40.9483528 41.3819237 41.8131256 42.2283974 42.7049828 43.1153374 43.4947052 43.9492188 44.5096741 45.0363922 45.7938805 46.4381828 47.002449 47.7133713 48.3573761 49.0230865 49.7893295 50.4703026 51.2511215 52.0878143 52.9517326 53.7741699 54.5881042 55.4688034 56.1979332 57.0309448 57.876442 58.5359535 59.2683792 60.0933838 60.9621506 61.7082863 62.617218 63.5391769 64.4665527 65.2882614 66.1339951 66.9381256 67.8605042 68.8028259 69.5970764 70.5850677 71.4684372 72.3592606 73.2181702 74.2110596 75.1200409 75.9200058 76.9416885 77.9907379 79.1856232 80.430603 81.5840759 82.7674408 84.1296387 85.6230316 87.0036316 88.6818542 90.2986832 92.1823349 94.315918 96.5954819 99.1799545 102.251083 105.877548 111.417473 119.639221 133.002914 333.883636 ------------------------------ Transdef: Tab for variable 7 30.1476021 33.0159378 33.832756 34.5179977 35.152523 35.6576614 36.1054916 36.4542198 36.8392982 37.213192 37.5994339 37.9466171 38.2128906 38.5668449 38.8506813 39.0910873 39.3491173 39.6463242 39.9837875 40.2782516 40.6251221 41.0012932 41.3825684 41.7588272 42.0941925 42.5959015 43.0521164 43.6176758 44.3337784 44.9296341 45.5811501 46.3266525 47.0652695 48.0644073 49.0206985 50.1984177 51.3476715 52.392395 53.4518127 54.4779778 55.6604462 56.6455002 57.5726089 58.6263428 59.5403748 60.5091743 61.1787529 61.8118439 62.7115097 63.8189468 64.6786957 65.5051117 66.5942078 67.5005493 68.5255432 69.5554047 70.4160156 71.3712997 72.2991714 73.3390503 74.3260422 75.379921 76.5176468 77.5074768 78.616745 79.7177048 80.8171539 81.9681015 83.141037 84.3386002 85.6059113 86.9610138 88.4808807 90.0059204 91.6313019 93.3188019 94.9072876 96.6015167 98.2580032 100.182297 102.076881 104.178703 106.088051 108.478821 110.808174 113.462051 116.315582 118.92514 122.037476 125.154167 128.99823 133.694458 137.459961 142.548065 148.250671 155.387878 164.897034 175.398407 193.248352 223.766998 581.356873 ------------------------------ Transdef: Tab for variable 8 2.86805725 24.4401989 28.9004841 30.8549442 31.9667816 32.8365402 33.2839966 33.8488464 34.266346 34.6952705 35.0602798 35.4025497 35.7511635 36.0657349 36.4023895 36.6657104 37.0472412 37.3271561 37.6011391 37.8437958 38.1345291 38.4046631 38.6474533 38.8996468 39.1669617 39.4418564 39.7158928 40.0207481 40.335453 40.6649628 41.0193329 41.3384895 41.6993484 42.0802383 42.5221176 42.9664154 43.4724121 43.8931961 44.4312401 44.9245605 45.5577927 46.0738487 46.7696342 47.3798294 48.0198746 48.7157211 49.3525658 50.1161957 50.8433533 51.55513 52.3476562 52.994606 53.6428909 54.3678589 55.1814575 55.9641418 56.7852936 57.5672531 58.3011475 59.0756912 59.868576 60.5682907 61.0991211 61.7155533 62.5537033 63.3923035 64.2032928 64.8894272 65.5837173 66.4515457 67.203598 68.0264587 68.9225311 69.7223511 70.5151215 71.3981476 72.2383575 73.1819611 74.1782074 75.125351 76.1275558 77.0468826 78.0487442 79.1432495 80.1990356 81.4056396 82.6909637 83.9743042 85.4656219 86.9789886 88.7293549 90.6034546 92.5080872 94.8707275 97.8594666 101.165024 105.489441 110.876793 118.350098 132.333252 367.914398 ------------------------------ Transdef: Tab for variable 9 49.6214828 62.5414734 64.4274597 66.362793 67.6631317 68.616066 69.685791 70.470993 71.216217 71.9014206 72.8000336 73.522049 74.0503693 74.6842804 75.2913666 75.7651901 76.3552246 76.9757996 77.4881516 78.1233292 78.6400146 79.2167664 79.6742401 80.2169952 80.9493408 81.5259857 82.1690979 82.6139145 83.3336792 84.0481567 84.9096756 85.6661072 86.5966949 87.2042236 88.2729187 89.2393799 90.2823334 91.3142395 92.3497467 93.7557983 95.1464691 96.3738861 97.9004974 99.2111664 100.504181 101.884338 103.433754 105.036484 106.271088 107.578827 109.009796 110.34993 111.821136 113.631958 115.313377 116.602493 118.079361 119.286789 120.395035 121.642471 122.963684 124.447708 125.670479 127.190224 128.544556 129.826889 131.105255 132.31781 133.526062 134.958298 136.098297 137.440216 138.781403 140.116058 141.308762 142.526733 143.902863 145.054688 146.609558 148.11499 149.558624 151.010345 152.736023 154.323425 155.970184 157.541641 159.579529 161.368408 163.209808 165.372833 167.617889 170.263489 172.541443 175.5522 178.637711 182.612137 186.940063 192.21579 199.049454 212.156616 495.180115 ------------------------------ Transdef: Tab for variable 10 0.00843621232 1.09859562 1.37483394 1.58274221 1.73854578 1.86012673 1.96150744 2.04639387 2.11942983 2.1878438 2.24034309 2.28815746 2.33171487 2.36806488 2.41099548 2.44318748 2.47756147 2.51010847 2.53993511 2.56427932 2.59075475 2.61234093 2.63625288 2.65871143 2.68209171 2.70278025 2.72181773 2.73944521 2.75787163 2.77469969 2.78965855 2.80493283 2.81925035 2.83136749 2.84354448 2.85346174 2.86402988 2.8743763 2.88285112 2.89346933 2.90221 2.91044044 2.91761017 2.92464328 2.93187761 2.93868589 2.9463439 2.95273113 2.95964909 2.96620774 2.97372365 2.97855973 2.98380876 2.98895121 2.99368048 2.99816012 3.0031805 3.00780749 3.01242852 3.01633263 3.02058434 3.02455902 3.02873468 3.03255177 3.03667355 3.04063153 3.04479456 3.04881144 3.05272794 3.05651402 3.06009483 3.06365633 3.06715178 3.07078362 3.07358384 3.07643652 3.07929683 3.08238029 3.08554864 3.08861828 3.09173107 3.09493923 3.0978508 3.10034561 3.10269785 3.1055398 3.10821152 3.11052656 3.11305046 3.11568785 3.11795712 3.12016439 3.12296343 3.12538481 3.12777758 3.13014197 3.13198328 3.1340611 3.13645267 3.13891602 3.14159226 ------------------------------ Transdef: Tab for variable 11 3.87430191E-06 0.00584130781 0.0102610197 0.0159481801 0.0218224525 0.0284097195 0.0352756977 0.0435564518 0.0520912409 0.0585344955 0.0674734414 0.0746719688 0.082228899 0.0894354433 0.0964722559 0.104836464 0.110909462 0.118078828 0.124925986 0.132078648 0.138738275 0.144454539 0.152233839 0.158681929 0.165248096 0.171719432 0.177886531 0.183927059 0.19018054 0.19599542 0.201468945 0.206455916 0.212046802 0.217436552 0.222366691 0.227991134 0.233054727 0.238554955 0.244202614 0.249964342 0.254907608 0.260343194 0.265198946 0.27017808 0.275429249 0.280176759 0.285242677 0.289960265 0.295583725 0.30182898 0.307050437 0.31324327 0.318303704 0.323429465 0.329282492 0.334662139 0.340009481 0.34601748 0.350767612 0.35628593 0.362402916 0.368285179 0.373967171 0.38044399 0.386654794 0.392055809 0.39827776 0.404061794 0.410450786 0.417116344 0.42302978 0.428948879 0.435902297 0.440916568 0.447451264 0.454351902 0.460766375 0.467275143 0.474572629 0.481207013 0.49094367 0.500533998 0.509598374 0.51797998 0.526516557 0.534862459 0.545415938 0.555421829 0.566675901 0.579346061 0.593346477 0.609501004 0.626306534 0.643076956 0.659711242 0.681109667 0.710023284 0.73941648 0.780222893 0.849903584 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.213148385 0.223220155 0.234018207 0.24397932 0.252085268 0.25797683 0.266351104 0.273640096 0.280091047 0.286396146 0.293031812 0.299850523 0.306257784 0.312418312 0.317983091 0.323632598 0.329761982 0.33504799 0.340340018 0.346003056 0.351086617 0.35582453 0.360907197 0.366223752 0.372087717 0.377047181 0.382441759 0.387651861 0.392346531 0.396824807 0.401263058 0.405435264 0.408984423 0.412727475 0.4161973 0.419670999 0.423195124 0.427300274 0.431223005 0.434958339 0.438781053 0.442786157 0.446108878 0.450064957 0.454723597 0.458317071 0.461488068 0.465788275 0.469934404 0.47361666 0.476564765 0.479908586 0.48397249 0.488721728 0.492618263 0.496796429 0.500738978 0.505525112 0.509602129 0.514577806 0.51913631 0.523809195 0.528620422 0.533554554 0.538267374 0.543827951 0.548916101 0.554688036 0.559610963 0.564956486 0.57010138 0.576264501 0.580211282 0.58601439 0.592520714 0.600339532 0.606889963 0.614230514 0.621576786 0.629573166 0.637066841 0.646136165 0.654429674 0.664149046 0.672805905 0.680455685 0.692087471 0.701424122 0.713188648 0.725197375 0.73723352 0.749658644 0.762845993 0.777311921 0.793017507 0.810695767 0.833519936 0.867634535 0.909640908 1.13414526 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.5591049 22.4433918 23.1075821 23.6584263 24.1858101 24.7078896 25.2354145 25.6987114 26.1419315 26.604351 27.0582466 27.4553604 27.8612366 28.2705326 28.6884155 29.1155052 29.4893875 29.8223877 30.1501808 30.5531216 30.8628159 31.1852341 31.5942497 31.9205437 32.2631111 32.58601 33.0146942 33.4305077 33.8331261 34.3115311 34.6173859 35.0060768 35.3391495 35.7358627 36.1487122 36.4824142 36.9261169 37.3404007 37.7764664 38.2181892 38.6512909 39.2014275 39.5979538 40.0722733 40.5936279 41.0936775 41.5963669 42.1385422 42.6506462 43.1342392 43.5788231 44.1308289 44.6810226 45.2209625 45.8546753 46.3802032 46.9663734 47.5937729 48.1236382 48.7501602 49.3977242 50.0792084 50.7573204 51.3765488 52.037693 52.6803513 53.3979263 54.1895981 54.9326248 55.616436 56.4057922 57.0746651 57.9029503 58.7197762 59.5350418 60.3089485 61.1325836 62.0901108 62.8185043 63.8138847 64.7827606 65.989357 67.0293884 68.3233337 69.594574 70.9873047 72.2771301 73.7090607 75.3472443 76.9016418 78.7641449 80.7408905 82.8576965 85.4061737 87.6026688 90.8655701 95.5263367 102.157898 114.049515 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.5960503 11.1192913 11.5068541 11.8520308 12.2522278 12.5753288 12.9301643 13.2915745 13.6038799 13.9093332 14.2034397 14.5080948 14.788496 15.0998955 15.3917027 15.6793041 15.9322338 16.2407513 16.4810562 16.7649956 17.005867 17.2854042 17.5444489 17.7955284 18.0438004 18.2689209 18.5164452 18.7824841 19.0685291 19.263792 19.5372868 19.8085823 20.0778961 20.3257065 20.5874901 20.8217201 21.0682087 21.276535 21.4977646 21.7145329 21.9350548 22.1512623 22.3570366 22.5914536 22.8261166 23.0260811 23.2390556 23.4812469 23.6982613 23.9308662 24.1914845 24.4536877 24.7022896 24.9225216 25.1557922 25.3852196 25.5761433 25.8061333 26.0530815 26.3232613 26.5844269 26.8577423 27.1235733 27.3858185 27.6278591 27.8581848 28.1350708 28.4445381 28.7589226 29.0496559 29.3366165 29.6663666 30.0083237 30.3432961 30.6896133 31.0414104 31.4005356 31.7505054 32.1225891 32.5878639 33.0850372 33.5056458 34.0006943 34.5475922 35.0747108 35.6768074 36.3470535 37.0201797 37.6890717 38.5613365 39.5471649 40.3880615 41.6485138 43.0244751 44.7310867 47.1780472 49.9012985 53.9489441 60.2332077 122.221924 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 67.0 51.8 49.6 33.1 51.4 64.3 56.0 65.1 -28.0 -16.8 -39.6 19.0 14.7 2 67.0 100.0 69.3 54.6 41.9 72.3 94.5 77.2 92.4 -42.3 -25.0 -52.1 38.3 23.0 3 51.8 69.3 100.0 38.4 22.7 44.6 70.4 61.0 77.4 -10.6 -26.9 -58.1 69.5 14.1 4 49.6 54.6 38.4 100.0 12.5 32.1 57.3 44.9 56.3 -14.7 -27.5 -58.1 17.0 66.3 5 33.1 41.9 22.7 12.5 100.0 85.1 14.9 62.3 62.0 21.9 -9.3 -15.7 7.2 -2.6 6 51.4 72.3 44.6 32.1 85.1 100.0 52.0 81.1 82.2 -6.9 -17.1 -33.3 21.2 8.6 7 64.3 94.5 70.4 57.3 14.9 52.0 100.0 68.7 81.2 -51.5 -23.9 -52.5 41.0 27.0 8 56.0 77.2 61.0 44.9 62.3 81.1 68.7 100.0 85.2 -9.3 -24.5 -46.1 34.9 18.9 9 65.1 92.4 77.4 56.3 62.0 82.2 81.2 85.2 100.0 -17.9 -28.0 -57.3 45.8 24.2 10 -28.0 -42.3 -10.6 -14.7 21.9 -6.9 -51.5 -9.3 -17.9 100.0 2.8 9.2 -0.8 -4.4 11 -16.8 -25.0 -26.9 -27.5 -9.3 -17.1 -23.9 -24.5 -28.0 2.8 100.0 54.1 -13.8 -15.9 12 -39.6 -52.1 -58.1 -58.1 -15.7 -33.3 -52.5 -46.1 -57.3 9.2 54.1 100.0 -33.9 -29.6 13 19.0 38.3 69.5 17.0 7.2 21.2 41.0 34.9 45.8 -0.8 -13.8 -33.9 100.0 40.6 14 14.7 23.0 14.1 66.3 -2.6 8.6 27.0 18.9 24.2 -4.4 -15.9 -29.6 40.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 167.569252 TOTAL CORRELATION OF ALL VARIABLES 72.8470032 ROUND 1: MAX CORR ( 72.8466957) AFTER KILLING INPUT VARIABLE 8 CONTR 0.211682689 ROUND 2: MAX CORR ( 72.8427221) AFTER KILLING INPUT VARIABLE 6 CONTR 0.760857169 ROUND 3: MAX CORR ( 72.8311922) AFTER KILLING INPUT VARIABLE 2 CONTR 1.2959973 ROUND 4: MAX CORR ( 72.8149373) AFTER KILLING INPUT VARIABLE 11 CONTR 1.53865766 ROUND 5: MAX CORR ( 72.7116746) AFTER KILLING INPUT VARIABLE 12 CONTR 3.87652705 ROUND 6: MAX CORR ( 72.5225801) AFTER KILLING INPUT VARIABLE 13 CONTR 5.24051611 ROUND 7: MAX CORR ( 72.1094008) AFTER KILLING INPUT VARIABLE 10 CONTR 7.73039006 ROUND 8: MAX CORR ( 71.6006802) AFTER KILLING INPUT VARIABLE 9 CONTR 8.55033807 ROUND 9: MAX CORR ( 71.4211927) AFTER KILLING INPUT VARIABLE 3 CONTR 5.06661971 ROUND 10: MAX CORR ( 70.0854875) AFTER KILLING INPUT VARIABLE 14 CONTR 13.7481349 ROUND 11: MAX CORR ( 68.5944632) AFTER KILLING INPUT VARIABLE 4 CONTR 14.3796795 ROUND 12: MAX CORR ( 64.3329976) AFTER KILLING INPUT VARIABLE 5 CONTR 23.800542 LAST REMAINING VARIABLE: 7 total correlation to target: 72.8470032 % total significance: 97.6363167 sigma correlations of single variables to target: variable 2: 66.9681581 % , in sigma: 89.7569426 variable 3: 51.7747759 % , in sigma: 69.3933613 variable 4: 49.5610351 % , in sigma: 66.4263004 variable 5: 33.0942007 % , in sigma: 44.3559201 variable 6: 51.3562873 % , in sigma: 68.832464 variable 7: 64.3329976 % , in sigma: 86.2250559 variable 8: 55.9709234 % , in sigma: 75.0174277 variable 9: 65.090842 % , in sigma: 87.2407894 variable 10: -27.9982682 % , in sigma: 37.5258783 variable 11: -16.7756246 % , in sigma: 22.4842495 variable 12: -39.6488511 % , in sigma: 53.1410711 variable 13: 19.049232 % , in sigma: 25.5315492 variable 14: 14.7165244 % , in sigma: 19.7244522 variables sorted by significance: 1 most relevant variable 7 corr 64.3330002 , in sigma: 86.2250594 2 most relevant variable 5 corr 23.8005428 , in sigma: 31.8996971 3 most relevant variable 4 corr 14.3796797 , in sigma: 19.2729817 4 most relevant variable 14 corr 13.7481346 , in sigma: 18.4265264 5 most relevant variable 3 corr 5.06661987 , in sigma: 6.79075433 6 most relevant variable 9 corr 8.55033779 , in sigma: 11.4599565 7 most relevant variable 10 corr 7.73039007 , in sigma: 10.3609864 8 most relevant variable 13 corr 5.24051619 , in sigma: 7.02382631 9 most relevant variable 12 corr 3.87652707 , in sigma: 5.19568147 10 most relevant variable 11 corr 1.53865767 , in sigma: 2.06225185 11 most relevant variable 2 corr 1.29599726 , in sigma: 1.73701585 12 most relevant variable 6 corr 0.760857165 , in sigma: 1.01977141 13 most relevant variable 8 corr 0.211682692 , in sigma: 0.283716796 global correlations between input variables: variable 2: 99.2521146 % variable 3: 94.1860766 % variable 4: 90.2021446 % variable 5: 95.6364631 % variable 6: 94.9936643 % variable 7: 98.857865 % variable 8: 90.8258949 % variable 9: 98.9233782 % variable 10: 72.4293169 % variable 11: 55.4521087 % variable 12: 77.6655123 % variable 13: 87.2435512 % variable 14: 86.1245353 % significance loss when removing single variables: variable 2: corr = 1.15024633 % , sigma = 1.54166692 variable 3: corr = 12.234069 % , sigma = 16.3972351 variable 4: corr = 15.2327599 % , sigma = 20.416359 variable 5: corr = 12.4658562 % , sigma = 16.7078978 variable 6: corr = 0.640407585 % , sigma = 0.8583337 variable 7: corr = 6.79684094 % , sigma = 9.10975723 variable 8: corr = 0.211682689 % , sigma = 0.283716792 variable 9: corr = 6.43123156 % , sigma = 8.6197336 variable 10: corr = 7.03200775 % , sigma = 9.42494963 variable 11: corr = 1.56602019 % , sigma = 2.09892565 variable 12: corr = 2.70632009 % , sigma = 3.62726143 variable 13: corr = 5.25533751 % , sigma = 7.04369123 variable 14: corr = 5.40223083 % , sigma = 7.24057129 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 10.9647617 sigma out 15 active outputs RANK 2 NODE 1 --> 9.83811951 sigma out 15 active outputs RANK 3 NODE 8 --> 9.46664524 sigma out 15 active outputs RANK 4 NODE 5 --> 8.90729332 sigma out 15 active outputs RANK 5 NODE 2 --> 8.46866894 sigma out 15 active outputs RANK 6 NODE 7 --> 8.0072279 sigma out 15 active outputs RANK 7 NODE 9 --> 7.7449851 sigma out 15 active outputs RANK 8 NODE 3 --> 7.6985302 sigma out 15 active outputs RANK 9 NODE 10 --> 7.53851986 sigma out 15 active outputs RANK 10 NODE 6 --> 7.19764423 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 13.8996353 sigma in 10act. ( 14.528244 sig out 1act.) RANK 2 NODE 1 --> 11.2928429 sigma in 10act. ( 11.2684555 sig out 1act.) RANK 3 NODE 12 --> 9.44282055 sigma in 10act. ( 10.2904902 sig out 1act.) RANK 4 NODE 15 --> 8.2952137 sigma in 10act. ( 8.16331673 sig out 1act.) RANK 5 NODE 13 --> 7.55905914 sigma in 10act. ( 8.23690319 sig out 1act.) RANK 6 NODE 10 --> 7.45522022 sigma in 10act. ( 8.35268879 sig out 1act.) RANK 7 NODE 4 --> 6.32202196 sigma in 10act. ( 7.37153244 sig out 1act.) RANK 8 NODE 3 --> 6.11202002 sigma in 10act. ( 6.10298252 sig out 1act.) RANK 9 NODE 9 --> 5.46371222 sigma in 10act. ( 4.22977161 sig out 1act.) RANK 10 NODE 6 --> 5.07733297 sigma in 10act. ( 5.52848005 sig out 1act.) RANK 11 NODE 8 --> 3.91124916 sigma in 10act. ( 4.2671895 sig out 1act.) RANK 12 NODE 2 --> 2.13080597 sigma in 10act. ( 2.25844121 sig out 1act.) RANK 13 NODE 5 --> 1.8354975 sigma in 10act. ( 1.70818269 sig out 1act.) RANK 14 NODE 7 --> 1.21293104 sigma in 10act. ( 1.11582303 sig out 1act.) RANK 15 NODE 14 --> 0.79590404 sigma in 10act. ( 0.635552168 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 14.528244 sigma out 1act.( 13.8996353 sig in 10act.) RANK 2 NODE 1 --> 11.2684555 sigma out 1act.( 11.2928429 sig in 10act.) RANK 3 NODE 12 --> 10.2904902 sigma out 1act.( 9.44282055 sig in 10act.) RANK 4 NODE 10 --> 8.35268879 sigma out 1act.( 7.45522022 sig in 10act.) RANK 5 NODE 13 --> 8.23690319 sigma out 1act.( 7.55905914 sig in 10act.) RANK 6 NODE 15 --> 8.16331673 sigma out 1act.( 8.2952137 sig in 10act.) RANK 7 NODE 4 --> 7.37153244 sigma out 1act.( 6.32202196 sig in 10act.) RANK 8 NODE 3 --> 6.10298252 sigma out 1act.( 6.11202002 sig in 10act.) RANK 9 NODE 6 --> 5.52848005 sigma out 1act.( 5.07733297 sig in 10act.) RANK 10 NODE 8 --> 4.2671895 sigma out 1act.( 3.91124916 sig in 10act.) RANK 11 NODE 9 --> 4.22977161 sigma out 1act.( 5.46371222 sig in 10act.) RANK 12 NODE 2 --> 2.25844121 sigma out 1act.( 2.13080597 sig in 10act.) RANK 13 NODE 5 --> 1.70818269 sigma out 1act.( 1.8354975 sig in 10act.) RANK 14 NODE 7 --> 1.11582303 sigma out 1act.( 1.21293104 sig in 10act.) RANK 15 NODE 14 --> 0.635552168 sigma out 1act.( 0.79590404 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 28.5676937 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 27.247961 sigma out 15 active outputs RANK 2 NODE 9 --> 13.9192858 sigma out 15 active outputs RANK 3 NODE 8 --> 12.8302374 sigma out 15 active outputs RANK 4 NODE 1 --> 12.3543682 sigma out 15 active outputs RANK 5 NODE 4 --> 12.1141033 sigma out 15 active outputs RANK 6 NODE 7 --> 10.7628345 sigma out 15 active outputs RANK 7 NODE 3 --> 10.1467152 sigma out 15 active outputs RANK 8 NODE 5 --> 9.07210636 sigma out 15 active outputs RANK 9 NODE 10 --> 8.66915607 sigma out 15 active outputs RANK 10 NODE 6 --> 8.37159061 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 15.9628887 sigma in 10act. ( 6.78904295 sig out 1act.) RANK 2 NODE 7 --> 14.8738279 sigma in 10act. ( 5.77515459 sig out 1act.) RANK 3 NODE 11 --> 14.3937645 sigma in 10act. ( 13.1923199 sig out 1act.) RANK 4 NODE 1 --> 11.9989338 sigma in 10act. ( 10.3941374 sig out 1act.) RANK 5 NODE 2 --> 11.6112061 sigma in 10act. ( 5.01546717 sig out 1act.) RANK 6 NODE 12 --> 11.3039999 sigma in 10act. ( 10.553813 sig out 1act.) RANK 7 NODE 4 --> 11.144619 sigma in 10act. ( 8.09118176 sig out 1act.) RANK 8 NODE 10 --> 10.939642 sigma in 10act. ( 9.24804688 sig out 1act.) RANK 9 NODE 13 --> 10.6010027 sigma in 10act. ( 9.29751205 sig out 1act.) RANK 10 NODE 5 --> 9.6727562 sigma in 10act. ( 3.66393971 sig out 1act.) RANK 11 NODE 8 --> 8.82318401 sigma in 10act. ( 6.65516853 sig out 1act.) RANK 12 NODE 3 --> 8.60162258 sigma in 10act. ( 6.46691036 sig out 1act.) RANK 13 NODE 15 --> 8.23715782 sigma in 10act. ( 7.41478157 sig out 1act.) RANK 14 NODE 6 --> 7.64350367 sigma in 10act. ( 7.15427256 sig out 1act.) RANK 15 NODE 9 --> 5.36637783 sigma in 10act. ( 2.26680255 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 13.1923199 sigma out 1act.( 14.3937645 sig in 10act.) RANK 2 NODE 12 --> 10.553813 sigma out 1act.( 11.3039999 sig in 10act.) RANK 3 NODE 1 --> 10.3941374 sigma out 1act.( 11.9989338 sig in 10act.) RANK 4 NODE 13 --> 9.29751205 sigma out 1act.( 10.6010027 sig in 10act.) RANK 5 NODE 10 --> 9.24804688 sigma out 1act.( 10.939642 sig in 10act.) RANK 6 NODE 4 --> 8.09118176 sigma out 1act.( 11.144619 sig in 10act.) RANK 7 NODE 15 --> 7.41478157 sigma out 1act.( 8.23715782 sig in 10act.) RANK 8 NODE 6 --> 7.15427256 sigma out 1act.( 7.64350367 sig in 10act.) RANK 9 NODE 14 --> 6.78904295 sigma out 1act.( 15.9628887 sig in 10act.) RANK 10 NODE 8 --> 6.65516853 sigma out 1act.( 8.82318401 sig in 10act.) RANK 11 NODE 3 --> 6.46691036 sigma out 1act.( 8.60162258 sig in 10act.) RANK 12 NODE 7 --> 5.77515459 sigma out 1act.( 14.8738279 sig in 10act.) RANK 13 NODE 2 --> 5.01546717 sigma out 1act.( 11.6112061 sig in 10act.) RANK 14 NODE 5 --> 3.66393971 sigma out 1act.( 9.6727562 sig in 10act.) RANK 15 NODE 9 --> 2.26680255 sigma out 1act.( 5.36637783 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 30.7625065 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.553038895 *** contribution from regularisation: 0.00718084397 *** contribution from error: -0.560219765 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.602532148 *** contribution from regularisation: 0.00207716925 *** contribution from error: -0.604609311 *********************************************** -----------------> Test sample ENTER BFGS code START -48907.8196 -0.143881872 0.0292040799 EXIT FROM BFGS code FG_START 0. -0.143881872 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.615049183 *** contribution from regularisation: 0.00193867937 *** contribution from error: -0.616987884 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -49915.5454 -0.143881872 -19.3803825 EXIT FROM BFGS code FG_LNSRCH 0. -0.170635462 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.616144657 *** contribution from regularisation: 0.00276617031 *** contribution from error: -0.618910849 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50004.4532 -0.170635462 -19.3600616 EXIT FROM BFGS code NEW_X -50004.4532 -0.170635462 -19.3600616 ENTER BFGS code NEW_X -50004.4532 -0.170635462 -19.3600616 EXIT FROM BFGS code FG_LNSRCH 0. -0.175002977 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.620217204 *** contribution from regularisation: 0.00255070766 *** contribution from error: -0.622767925 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50334.9696 -0.175002977 -8.69674301 EXIT FROM BFGS code NEW_X -50334.9696 -0.175002977 -8.69674301 ENTER BFGS code NEW_X -50334.9696 -0.175002977 -8.69674301 EXIT FROM BFGS code FG_LNSRCH 0. -0.18182686 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.620599568 *** contribution from regularisation: 0.00251990533 *** contribution from error: -0.623119473 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50366.0002 -0.18182686 -4.64394188 EXIT FROM BFGS code NEW_X -50366.0002 -0.18182686 -4.64394188 ENTER BFGS code NEW_X -50366.0002 -0.18182686 -4.64394188 EXIT FROM BFGS code FG_LNSRCH 0. -0.189903095 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.62076956 *** contribution from regularisation: 0.00248358352 *** contribution from error: -0.623253167 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50379.7971 -0.189903095 -0.664218187 EXIT FROM BFGS code NEW_X -50379.7971 -0.189903095 -0.664218187 ENTER BFGS code NEW_X -50379.7971 -0.189903095 -0.664218187 EXIT FROM BFGS code FG_LNSRCH 0. -0.206113756 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.62097764 *** contribution from regularisation: 0.00235940469 *** contribution from error: -0.62333703 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50396.6826 -0.206113756 3.95188046 EXIT FROM BFGS code NEW_X -50396.6826 -0.206113756 3.95188046 ENTER BFGS code NEW_X -50396.6826 -0.206113756 3.95188046 EXIT FROM BFGS code FG_LNSRCH 0. -0.221195832 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.620891809 *** contribution from regularisation: 0.00227227737 *** contribution from error: -0.623164058 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50389.7176 -0.221195832 9.2382555 EXIT FROM BFGS code FG_LNSRCH 0. -0.208771944 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 21.4368649 sigma out 15 active outputs RANK 2 NODE 1 --> 11.2061291 sigma out 15 active outputs RANK 3 NODE 8 --> 10.0703678 sigma out 15 active outputs RANK 4 NODE 9 --> 9.49646091 sigma out 15 active outputs RANK 5 NODE 3 --> 6.67596197 sigma out 15 active outputs RANK 6 NODE 7 --> 6.62624884 sigma out 15 active outputs RANK 7 NODE 4 --> 6.26392412 sigma out 15 active outputs RANK 8 NODE 10 --> 5.08019304 sigma out 15 active outputs RANK 9 NODE 5 --> 4.47763109 sigma out 15 active outputs RANK 10 NODE 6 --> 4.41882706 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 13.7230167 sigma in 10act. ( 8.7881794 sig out 1act.) RANK 2 NODE 7 --> 11.6571369 sigma in 10act. ( 7.46127176 sig out 1act.) RANK 3 NODE 11 --> 8.80146599 sigma in 10act. ( 6.8567872 sig out 1act.) RANK 4 NODE 13 --> 8.50868511 sigma in 10act. ( 6.03907108 sig out 1act.) RANK 5 NODE 2 --> 8.44175911 sigma in 10act. ( 5.07608795 sig out 1act.) RANK 6 NODE 10 --> 8.42404747 sigma in 10act. ( 5.87559938 sig out 1act.) RANK 7 NODE 4 --> 7.86951113 sigma in 10act. ( 5.16762638 sig out 1act.) RANK 8 NODE 8 --> 7.66282177 sigma in 10act. ( 4.67515707 sig out 1act.) RANK 9 NODE 3 --> 7.04835272 sigma in 10act. ( 5.65220737 sig out 1act.) RANK 10 NODE 5 --> 6.81125784 sigma in 10act. ( 3.4087019 sig out 1act.) RANK 11 NODE 1 --> 6.15485525 sigma in 10act. ( 4.54137087 sig out 1act.) RANK 12 NODE 12 --> 5.97201204 sigma in 10act. ( 4.45407581 sig out 1act.) RANK 13 NODE 15 --> 5.6118679 sigma in 10act. ( 4.39255476 sig out 1act.) RANK 14 NODE 6 --> 5.05804205 sigma in 10act. ( 3.41720819 sig out 1act.) RANK 15 NODE 9 --> 2.48223019 sigma in 10act. ( 0.293772608 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 8.7881794 sigma out 1act.( 13.7230167 sig in 10act.) RANK 2 NODE 7 --> 7.46127176 sigma out 1act.( 11.6571369 sig in 10act.) RANK 3 NODE 11 --> 6.8567872 sigma out 1act.( 8.80146599 sig in 10act.) RANK 4 NODE 13 --> 6.03907108 sigma out 1act.( 8.50868511 sig in 10act.) RANK 5 NODE 10 --> 5.87559938 sigma out 1act.( 8.42404747 sig in 10act.) RANK 6 NODE 3 --> 5.65220737 sigma out 1act.( 7.04835272 sig in 10act.) RANK 7 NODE 4 --> 5.16762638 sigma out 1act.( 7.86951113 sig in 10act.) RANK 8 NODE 2 --> 5.07608795 sigma out 1act.( 8.44175911 sig in 10act.) RANK 9 NODE 8 --> 4.67515707 sigma out 1act.( 7.66282177 sig in 10act.) RANK 10 NODE 1 --> 4.54137087 sigma out 1act.( 6.15485525 sig in 10act.) RANK 11 NODE 12 --> 4.45407581 sigma out 1act.( 5.97201204 sig in 10act.) RANK 12 NODE 15 --> 4.39255476 sigma out 1act.( 5.6118679 sig in 10act.) RANK 13 NODE 6 --> 3.41720819 sigma out 1act.( 5.05804205 sig in 10act.) RANK 14 NODE 5 --> 3.4087019 sigma out 1act.( 6.81125784 sig in 10act.) RANK 15 NODE 9 --> 0.293772608 sigma out 1act.( 2.48223019 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 20.9839706 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.620431185 *** contribution from regularisation: 0.00289567304 *** contribution from error: -0.623326838 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50352.3335 -0.208771944 4.55811644 EXIT FROM BFGS code FG_LNSRCH 0. -0.206158638 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.620909989 *** contribution from regularisation: 0.00242696749 *** contribution from error: -0.623336971 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50391.1913 -0.206158638 3.914814 EXIT FROM BFGS code FG_LNSRCH 0. -0.20611386 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.620752871 *** contribution from regularisation: 0.0025841624 *** contribution from error: -0.62333703 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50378.4418 -0.20611386 3.81089139 EXIT FROM BFGS code FG_LNSRCH 0. -0.206113756 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.620843709 *** contribution from regularisation: 0.00249332027 *** contribution from error: -0.62333703 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50385.8144 -0.206113756 3.83994508 EXIT FROM BFGS code FG_LNSRCH 0. -0.206113756 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.620804667 *** contribution from regularisation: 0.00253240415 *** contribution from error: -0.62333709 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50382.6425 -0.206113756 3.80888915 EXIT FROM BFGS code FG_LNSRCH 0. -0.206113756 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.620813429 *** contribution from regularisation: 0.00252360827 *** contribution from error: -0.62333703 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50383.3564 -0.206113756 3.81505251 EXIT FROM BFGS code NEW_X -50383.3564 -0.206113756 3.81505251 ENTER BFGS code NEW_X -50383.3564 -0.206113756 3.81505251 EXIT FROM BFGS code CONVERGENC -50383.3564 -0.206113756 3.81505251 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 34.6976624 sigma out 15 active outputs RANK 2 NODE 1 --> 20.6382313 sigma out 15 active outputs RANK 3 NODE 8 --> 18.438221 sigma out 15 active outputs RANK 4 NODE 9 --> 16.5766602 sigma out 15 active outputs RANK 5 NODE 3 --> 12.1433744 sigma out 15 active outputs RANK 6 NODE 4 --> 11.8077011 sigma out 15 active outputs RANK 7 NODE 7 --> 11.4571581 sigma out 15 active outputs RANK 8 NODE 10 --> 9.00917053 sigma out 15 active outputs RANK 9 NODE 5 --> 7.93690681 sigma out 15 active outputs RANK 10 NODE 6 --> 7.81470442 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 23.7161674 sigma in 10act. ( 17.6802959 sig out 1act.) RANK 2 NODE 7 --> 18.9303246 sigma in 10act. ( 14.9950819 sig out 1act.) RANK 3 NODE 11 --> 16.8407993 sigma in 10act. ( 13.8023672 sig out 1act.) RANK 4 NODE 13 --> 15.9219637 sigma in 10act. ( 12.1522913 sig out 1act.) RANK 5 NODE 10 --> 15.6091785 sigma in 10act. ( 11.8821926 sig out 1act.) RANK 6 NODE 8 --> 14.1111298 sigma in 10act. ( 9.46332073 sig out 1act.) RANK 7 NODE 4 --> 13.4342518 sigma in 10act. ( 10.6691856 sig out 1act.) RANK 8 NODE 2 --> 12.8823538 sigma in 10act. ( 10.2369642 sig out 1act.) RANK 9 NODE 3 --> 12.4861689 sigma in 10act. ( 11.3020163 sig out 1act.) RANK 10 NODE 15 --> 10.2270308 sigma in 10act. ( 8.60871029 sig out 1act.) RANK 11 NODE 1 --> 9.88445663 sigma in 10act. ( 9.25020409 sig out 1act.) RANK 12 NODE 5 --> 9.80469131 sigma in 10act. ( 7.08704042 sig out 1act.) RANK 13 NODE 12 --> 9.15671444 sigma in 10act. ( 9.49145317 sig out 1act.) RANK 14 NODE 6 --> 8.79086399 sigma in 10act. ( 6.89254284 sig out 1act.) RANK 15 NODE 9 --> 2.32410121 sigma in 10act. ( 0.52771455 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 17.6802959 sigma out 1act.( 23.7161674 sig in 10act.) RANK 2 NODE 7 --> 14.9950819 sigma out 1act.( 18.9303246 sig in 10act.) RANK 3 NODE 11 --> 13.8023672 sigma out 1act.( 16.8407993 sig in 10act.) RANK 4 NODE 13 --> 12.1522913 sigma out 1act.( 15.9219637 sig in 10act.) RANK 5 NODE 10 --> 11.8821926 sigma out 1act.( 15.6091785 sig in 10act.) RANK 6 NODE 3 --> 11.3020163 sigma out 1act.( 12.4861689 sig in 10act.) RANK 7 NODE 4 --> 10.6691856 sigma out 1act.( 13.4342518 sig in 10act.) RANK 8 NODE 2 --> 10.2369642 sigma out 1act.( 12.8823538 sig in 10act.) RANK 9 NODE 12 --> 9.49145317 sigma out 1act.( 9.15671444 sig in 10act.) RANK 10 NODE 8 --> 9.46332073 sigma out 1act.( 14.1111298 sig in 10act.) RANK 11 NODE 1 --> 9.25020409 sigma out 1act.( 9.88445663 sig in 10act.) RANK 12 NODE 15 --> 8.60871029 sigma out 1act.( 10.2270308 sig in 10act.) RANK 13 NODE 5 --> 7.08704042 sigma out 1act.( 9.80469131 sig in 10act.) RANK 14 NODE 6 --> 6.89254284 sigma out 1act.( 8.79086399 sig in 10act.) RANK 15 NODE 9 --> 0.52771455 sigma out 1act.( 2.32410121 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 42.4323921 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.620815635 *** contribution from regularisation: 0.00252142432 *** contribution from error: -0.62333703 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done