NNInput NNInputs_135.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree 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= 195342 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 = 48407 nbkg = 146935 Bkg Entries: 146935 Sig Entries: 48407 Chosen entries: 48407 Signal fraction: 1 Background fraction: 0.329445 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 146935 Actual Signal Entries: 48407 Entries to split: 48407 Test with : 24203 Train with : 24203 ********************************************* * 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= 48407 for Signal Prepared event 0 for Signal with 48407 events ====Entry 0 Variable Ht : 232.766 Variable LepAPt : 74.3556 Variable LepBPt : 30.6959 Variable MetSigLeptonsJets : 3.09436 Variable MetSpec : 41.4986 Variable SumEtLeptonsJets : 190.102 Variable VSumJetLeptonsPt : 35.9078 Variable addEt : 147.716 Variable dPhiLepSumMet : 2.12661 Variable dPhiLeptons : 0.248817 Variable dRLeptons : 0.333981 Variable lep1_E : 86.3275 Variable lep2_E : 32.4592 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2135 Ht = 232.766 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 74.3557 LepAPt = 74.3556 LepBEt = 30.6962 LepBPt = 30.6959 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 42.6642 MetDelPhi = 1.33651 MetSig = 2.91556 MetSigLeptonsJets = 3.09436 MetSpec = 41.4986 Mjj = 0 MostCentralJetEta = -1.56143 MtllMet = 152.006 Njets = 1 SB = 0 SumEt = 214.133 SumEtJets = 0 SumEtLeptonsJets = 190.102 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 35.9078 addEt = 147.716 dPhiLepSumMet = 2.12661 dPhiLeptons = 0.248817 dRLeptons = 0.333981 diltype = 17 dimass = 15.9508 event = 435 jet1_Et = 85.0503 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 86.3275 lep2_E = 32.4592 rand = 0.999742 run = 230778 weight = 2.42631e-06 ===Show End Prepared event 10000 for Signal with 48407 events Prepared event 20000 for Signal with 48407 events Prepared event 30000 for Signal with 48407 events Prepared event 40000 for Signal with 48407 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= 146935 for Background Prepared event 0 for Background with 146935 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 = 0.260198 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 146935 events Prepared event 20000 for Background with 146935 events Prepared event 30000 for Background with 146935 events Prepared event 40000 for Background with 146935 events Prepared event 50000 for Background with 146935 events Prepared event 60000 for Background with 146935 events Prepared event 70000 for Background with 146935 events Prepared event 80000 for Background with 146935 events Prepared event 90000 for Background with 146935 events Prepared event 100000 for Background with 146935 events Prepared event 110000 for Background with 146935 events Prepared event 120000 for Background with 146935 events Prepared event 130000 for Background with 146935 events Prepared event 140000 for Background with 146935 events Warning: found 4590 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 195342 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 4590 negative weights. Signal fraction: 62.388134 % ------------------------------ 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 61.9887009 64.2924347 66.1884766 67.3902435 68.5141678 69.5391388 70.4294357 71.3489761 72.0357361 72.9745483 73.7692108 74.3030853 74.9473648 75.481636 75.9841614 76.6395569 77.1440125 77.7092743 78.3416214 78.856041 79.4333191 79.8927994 80.5507355 81.1265793 81.7628021 82.4295349 83.2193451 83.9011078 84.760849 85.5731659 86.3517914 87.3809509 88.4289856 89.3317719 90.4767609 91.7282639 92.7990723 94.07724 95.3421326 96.4915695 97.6466675 99.0027313 100.149864 101.271027 102.348312 103.49839 104.837433 105.993744 107.032745 108.099457 109.175339 110.247009 111.326859 112.318336 113.443489 114.612244 115.642731 116.673706 117.771912 118.867065 120.131035 121.259003 122.463333 123.517609 124.521194 125.653137 126.824112 128.040588 129.292816 130.551605 131.94928 133.203445 134.674377 136.371399 138.234924 140.166992 142.122925 144.093231 146.391968 148.662384 150.876678 153.396744 155.925171 158.340607 161.089386 163.877747 167.274033 170.539581 174.383087 178.264786 182.981934 188.060791 193.898376 201.418915 209.743378 220.597778 233.842316 252.269684 290.354797 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0002613 20.2763939 20.5475292 20.7837677 21.0328751 21.2631454 21.4693871 21.6602173 21.8635693 22.0442066 22.2235699 22.4298401 22.6162357 22.8079491 23.022974 23.2082443 23.4097099 23.5968971 23.7717896 23.9376259 24.1429825 24.3457069 24.5258408 24.7006474 24.8865891 25.0962372 25.2828293 25.4544888 25.6158504 25.7965317 25.9576683 26.1503315 26.3015823 26.4787369 26.6712379 26.8922272 27.0824814 27.2444744 27.4341354 27.6431427 27.8417931 28.0228729 28.1995659 28.4182625 28.6230259 28.8384628 29.0405464 29.2254658 29.4418526 29.6649361 29.8843975 30.1017876 30.3458195 30.5905914 30.8413048 31.0953484 31.3841515 31.6221008 31.8611336 32.0971146 32.3624496 32.6235008 32.9230957 33.1705551 33.4374008 33.7311325 34.0031662 34.2906036 34.5748978 34.8964462 35.213356 35.5153427 35.8628387 36.2284241 36.6067047 36.91922 37.3152008 37.7218933 38.1300735 38.5307732 38.9627991 39.3888779 39.8795395 40.4340134 40.9646988 41.5676498 42.2389832 42.9378967 43.6220741 44.4054031 45.3288879 46.3325691 47.5163422 48.7141113 50.1957436 51.8972321 53.7824554 56.7159081 61.1568871 68.9447479 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0001888 10.1041327 10.2040558 10.3232756 10.4138584 10.4980268 10.5986319 10.7106953 10.8103342 10.9167652 11.0212231 11.1330738 11.2599602 11.368782 11.4810638 11.592042 11.7278919 11.8469582 11.9891472 12.0969868 12.2340012 12.3704853 12.5035944 12.6540833 12.7775555 12.90516 13.0569115 13.1964073 13.3497925 13.4760332 13.6036663 13.7411366 13.8742628 14.0321083 14.1814003 14.3312702 14.4829245 14.6733913 14.8156948 14.9831181 15.1518955 15.3150473 15.4512224 15.6383572 15.8102989 15.9934425 16.1849499 16.367733 16.5663548 16.7507591 16.9285011 17.128912 17.3375988 17.5479469 17.7296295 17.9502296 18.176054 18.3703022 18.5816059 18.7951622 19.0088215 19.2216721 19.4361343 19.6757088 19.9167252 20.1444244 20.343298 20.5573158 20.7920113 21.0317039 21.2419014 21.5086632 21.738184 21.9707184 22.2245712 22.4745369 22.7356796 23.0026169 23.3105202 23.5875988 23.8986473 24.1988277 24.5183201 24.8748703 25.2700043 25.6902847 26.0719128 26.4700737 26.8883553 27.353817 27.8031693 28.2931099 28.8932037 29.5412903 30.2557278 31.1146622 32.1910858 33.6667099 35.854393 40.0158806 74.1576004 ------------------------------ Transdef: Tab for variable 5 1.07960415 2.46230602 2.84578323 3.07012606 3.28147221 3.48101425 3.67044711 3.8093102 3.96326733 4.0873394 4.19900084 4.3125205 4.41653681 4.51804161 4.59709978 4.68660164 4.77317953 4.84434128 4.93300629 5.00912094 5.08132744 5.13614273 5.19435024 5.25848007 5.3120575 5.36693287 5.41237831 5.46016026 5.5076766 5.5532198 5.60135937 5.64578485 5.69170237 5.73761654 5.78067493 5.81909752 5.86249638 5.91059017 5.94958305 5.98991776 6.03568745 6.07439423 6.10923481 6.14353466 6.18178463 6.22233057 6.26778126 6.30140877 6.33609056 6.37933064 6.41592121 6.45275974 6.49849892 6.53177786 6.56951523 6.61335564 6.6522603 6.69004536 6.7294836 6.76769352 6.81478024 6.8496666 6.88594437 6.92369843 6.97357655 7.01528788 7.05800343 7.10639381 7.15282154 7.19349003 7.23975849 7.28818321 7.33820724 7.38792372 7.43146038 7.48498487 7.53380823 7.59152269 7.64424086 7.69463444 7.75435162 7.8094368 7.86992836 7.92919159 7.99193287 8.06004715 8.13459873 8.21096325 8.27415848 8.36642838 8.46084595 8.55812454 8.67343044 8.79889584 8.94313812 9.12322235 9.33259964 9.60031796 9.96530342 10.66681 16.7564106 ------------------------------ Transdef: Tab for variable 6 15.0050735 19.1672993 23.2387924 25.4904118 26.3341217 27.1068516 27.7781181 28.5769844 29.2855606 29.8328686 30.6045761 31.1656723 31.64394 32.1820374 32.6736679 33.0410614 33.4402504 33.8895378 34.376297 34.7499084 35.0702591 35.4845886 35.8670273 36.207737 36.4962463 36.8471603 37.2234917 37.5146561 37.8192406 38.1485214 38.5097885 38.8365173 39.155014 39.4656601 39.773819 40.1029358 40.389267 40.7342148 41.1091118 41.4707031 41.8346634 42.2604218 42.5747681 42.9372101 43.2789383 43.7043152 44.0422974 44.4798584 44.893219 45.3658905 45.8293343 46.3395195 46.8113594 47.3288345 47.8012543 48.3343239 48.8413315 49.3652115 49.8291588 50.3334312 50.7467422 51.2943306 51.8760147 52.448082 53.0265884 53.6376801 54.2101364 54.729866 55.3054276 55.8598671 56.4473953 57.0255127 57.5854797 58.1925354 58.775177 59.3692856 59.9438286 60.5722275 61.2550621 61.8830986 62.5589828 63.3030663 64.0278778 64.8135834 65.5602722 66.4381561 67.2852478 68.2095718 69.210083 70.2672424 71.6579208 73.122818 74.6468201 76.5753403 78.9135971 81.5531006 84.9091492 89.2814026 95.5248489 106.822144 236.562576 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.4256897 33.3508377 34.0410995 34.6424294 35.2001495 35.6064224 36.0743523 36.4156227 36.7477493 37.046051 37.3994293 37.6433716 37.9520645 38.2366676 38.5404854 38.8077545 39.0510406 39.3147583 39.5699005 39.8587379 40.227047 40.5354919 40.8467636 41.1441803 41.4347229 41.7070618 42.0238838 42.4238396 42.9016266 43.4045181 43.9741554 44.5201111 44.9848442 45.5055046 46.1519661 46.7648163 47.4251938 48.0158463 48.7441444 49.4529495 50.2340889 50.92276 51.6283531 52.3313828 53.0364265 53.6716118 54.3484573 55.1031075 55.7873535 56.4450989 57.0537415 57.7323151 58.451355 59.0882797 59.8237305 60.4794464 61.1610451 61.9424515 62.599308 63.3432846 64.1468964 64.9886932 65.8618393 66.769928 67.7975006 68.8044052 70.0007095 71.1323395 72.3830872 73.7319183 75.0788956 76.4514008 77.8113937 79.0330505 80.4914551 81.9836273 83.5544815 85.2969666 86.9944992 88.6359406 90.588768 92.5886536 94.6941376 97.0204468 99.5873718 102.095215 104.972717 107.849182 111.106087 114.519577 118.319771 122.962402 127.849884 134.239777 141.30188 150.11055 161.953217 177.107361 203.735352 458.64209 ------------------------------ Transdef: Tab for variable 8 0.331718683 22.1130104 26.5769768 29.3989391 30.7661705 31.6724586 32.3096161 32.9205666 33.4286423 33.8444672 34.2694244 34.6288605 34.9891815 35.2745399 35.5704193 35.9226036 36.1945648 36.4922905 36.7242355 37.0012131 37.2546616 37.4488373 37.7132454 37.943161 38.1903687 38.4859009 38.6930428 38.9328804 39.1736946 39.4087448 39.6847305 39.9530029 40.2001724 40.4267349 40.7064514 40.9519539 41.2544708 41.5404205 41.854187 42.1921883 42.5564346 42.9524956 43.2991333 43.6897888 44.1159821 44.4674683 44.9300957 45.3920517 45.8189583 46.2442627 46.7045898 47.1664047 47.6249695 48.1378326 48.6943436 49.1831436 49.6295471 50.115387 50.5790329 51.0975151 51.569313 52.1349945 52.6310234 53.1040344 53.5715981 54.1230392 54.6890259 55.2564926 55.7277679 56.2118492 56.7080917 57.2632599 57.7779846 58.3253593 58.8961868 59.4728889 60.0331497 60.62463 61.2370377 61.9047165 62.5684853 63.2128716 63.9405479 64.7035065 65.4417801 66.2593384 67.1847229 68.2817383 69.4177399 70.6497955 72.0083923 73.454483 75.2540283 77.2803268 79.3509521 82.0779037 85.9643402 90.595047 97.1968231 109.917488 326.868286 ------------------------------ Transdef: Tab for variable 9 47.1748543 61.2575455 63.6702003 65.4944763 66.5909653 67.7014008 68.6165771 69.4760132 70.2173309 70.9175568 71.6204376 72.3070068 73.0595703 73.7407379 74.2197342 74.7621307 75.3179016 75.6767807 76.1980209 76.8078613 77.1745758 77.6917572 78.2624283 78.6401367 79.1684113 79.5947571 80.0500183 80.6317062 81.1265793 81.6684418 82.1936646 82.6936951 83.3907852 83.9464111 84.6586761 85.2514648 85.9251709 86.5545273 87.3979492 88.2420807 88.968956 89.7257996 90.6389923 91.6176682 92.4163284 93.2842941 94.2280884 95.1537247 96.0042267 96.8183823 97.7786713 98.7597961 99.7007599 100.609421 101.440002 102.346771 103.224541 104.221115 105.132957 105.904541 106.695328 107.573624 108.418991 109.304459 110.162155 110.985962 111.877441 112.721077 113.616173 114.485275 115.322327 116.167664 117.025833 117.882439 118.744949 119.62722 120.551132 121.470993 122.456375 123.300598 124.113289 124.96965 125.901604 126.864655 127.821053 128.888916 130.006348 131.152145 132.292023 133.457489 134.720734 136.291046 138.1185 140.150467 142.526031 145.46106 149.222595 154.340759 163.252991 183.102264 385.645142 ------------------------------ Transdef: Tab for variable 10 0.00253169541 0.984909832 1.27218962 1.46572351 1.62359715 1.74511576 1.84756184 1.92713404 2.01498508 2.07756352 2.14075947 2.20237637 2.25501657 2.30183697 2.3454237 2.39072227 2.42994738 2.46423793 2.4977231 2.52774429 2.55803585 2.58265662 2.607126 2.62921453 2.65115595 2.67434502 2.695539 2.71748066 2.73766565 2.75546026 2.77152586 2.78661561 2.80287266 2.81612349 2.82936525 2.8417244 2.85274267 2.86395311 2.8746326 2.88516665 2.89533329 2.90478778 2.91303134 2.92157149 2.92950368 2.93680406 2.9437871 2.95074606 2.95735264 2.96352792 2.96952391 2.97587752 2.98136711 2.98693323 2.9915905 2.99659872 3.00227213 3.00701094 3.01174307 3.01605797 3.02078962 3.02469134 3.0288353 3.03312063 3.03666496 3.04055834 3.04454374 3.04839373 3.05237293 3.05602407 3.05932856 3.06249046 3.065938 3.06877875 3.07211542 3.07516479 3.07802939 3.0809803 3.08405924 3.08727646 3.09015656 3.09319258 3.09529972 3.0983882 3.10081244 3.10356998 3.10604 3.10883904 3.11166072 3.11412024 3.11649084 3.11922956 3.12205458 3.12458682 3.12706518 3.12920904 3.13159204 3.13366365 3.13619757 3.13890886 3.1415906 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.00499343872 0.0110025201 0.0176806822 0.0241167024 0.0307569504 0.0385190248 0.0467587784 0.0540653169 0.0622215867 0.0699631572 0.0778884888 0.0853147656 0.0930323601 0.100162536 0.10685055 0.114091516 0.121633388 0.12878564 0.136569411 0.143281519 0.150733829 0.157376528 0.164356291 0.170720637 0.176649302 0.181954265 0.188674048 0.194876075 0.20058319 0.206287086 0.211378694 0.216500223 0.221737623 0.228379607 0.233500108 0.239125758 0.245062232 0.250251532 0.256070375 0.261511683 0.266554952 0.272221982 0.277268112 0.283084631 0.288529336 0.294182062 0.299727678 0.305639923 0.311054826 0.317454457 0.323176622 0.328784645 0.335164994 0.341110677 0.346016049 0.352221191 0.358057976 0.364063591 0.370188653 0.377143472 0.383504927 0.388968587 0.394745231 0.400332868 0.406627476 0.412365079 0.418357462 0.425437659 0.431326091 0.437418401 0.442787528 0.448945791 0.455630243 0.462842464 0.470766097 0.476645231 0.484064579 0.492058158 0.499767572 0.507807076 0.514551282 0.522068381 0.531361699 0.539975405 0.550297022 0.561988235 0.572571635 0.583035469 0.594945431 0.607235909 0.621682048 0.635679722 0.650577545 0.669643044 0.694314539 0.717870116 0.745993197 0.792154014 0.856786013 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.200011998 0.210381672 0.219879091 0.229252338 0.237873882 0.245611638 0.253836155 0.261657476 0.269589573 0.276819527 0.284206539 0.291291565 0.298739642 0.305982232 0.312910378 0.319904625 0.326997995 0.333627403 0.339595735 0.346500456 0.352048457 0.359033138 0.365675509 0.371940881 0.378533661 0.38534534 0.391180873 0.396997511 0.40200454 0.407022893 0.411529601 0.415437907 0.419612586 0.423870862 0.427302539 0.431888998 0.435980558 0.439632803 0.444602728 0.448331118 0.4524616 0.456713825 0.460634112 0.465015888 0.469355315 0.473288 0.477568448 0.48147887 0.485135078 0.489027619 0.492936909 0.49666214 0.500375807 0.504175067 0.508673012 0.5128631 0.51705277 0.52158165 0.525324345 0.529764116 0.534231424 0.53873837 0.543397427 0.547522187 0.552625775 0.557396412 0.562118769 0.567218482 0.571881056 0.577042699 0.582144737 0.587791324 0.593390703 0.598249912 0.60379076 0.60992521 0.615783691 0.623166621 0.629567981 0.636767685 0.643564105 0.651160598 0.659391582 0.666934431 0.674299181 0.681436181 0.690815687 0.700998724 0.711830795 0.720832705 0.731506228 0.7437163 0.753996193 0.769117713 0.784405172 0.802299082 0.821734488 0.844193578 0.879972458 0.924641013 1.14129901 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.4223747 22.1542778 22.6495132 23.1469383 23.5851326 24.0276299 24.4571724 24.875988 25.2836647 25.6234131 25.9520359 26.3251514 26.703928 27.0189037 27.3056583 27.6208248 27.9119625 28.2174339 28.5084763 28.8529854 29.1601105 29.4103737 29.6792412 30.0000954 30.2795162 30.5502815 30.8050652 31.0413818 31.3228798 31.5963173 31.8455944 32.1554947 32.4417725 32.7434845 33.0574341 33.3647575 33.6782761 33.9993553 34.2931747 34.563549 34.860981 35.201828 35.492424 35.8350906 36.1446304 36.428463 36.8005066 37.1431732 37.5193558 37.8433342 38.1627197 38.5382729 38.8868332 39.2951965 39.6508636 40.0213852 40.4134521 40.8486862 41.249176 41.6887131 42.1463394 42.6281929 43.0906525 43.5435791 44.0301437 44.5209846 45.0741272 45.6002502 46.1921539 46.770504 47.3467636 47.9694824 48.5707283 49.2016373 49.9345398 50.639679 51.3954277 52.1296616 52.9779854 53.8587036 54.7914314 55.7870369 56.7926102 57.9138947 58.9875717 60.3066635 61.7020493 63.1194344 64.7340851 66.7121658 68.4975281 70.4857025 73.1286926 75.5531998 78.5321808 81.8970184 86.8668823 93.6483154 103.834976 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.5833817 10.9087906 11.2547531 11.525136 11.7749634 12.0974798 12.3533297 12.6274204 12.867178 13.131196 13.3799057 13.5820885 13.804121 14.0015831 14.2513275 14.4834642 14.7218571 14.9727402 15.231699 15.4604959 15.6592445 15.9013615 16.1594505 16.3747826 16.6199646 16.8544464 17.0548019 17.3163719 17.5387535 17.7329979 17.9421082 18.16119 18.4409943 18.6616707 18.89645 19.1193981 19.3057632 19.5609245 19.8139648 20.0461845 20.2898445 20.5360069 20.7887955 21.0197086 21.2559395 21.497509 21.737999 21.9611702 22.2092266 22.458437 22.71175 22.9601288 23.2253456 23.4877625 23.7507954 24.0307159 24.3028603 24.5653305 24.8495445 25.1088257 25.4016342 25.6878414 25.9533577 26.2402878 26.5238724 26.8187294 27.1061764 27.4207859 27.7044296 28.0094948 28.2817211 28.6453819 29.0065002 29.3676224 29.7718658 30.1880684 30.5920448 31.0260239 31.3820801 31.8636475 32.3357468 32.8376656 33.3604202 33.8680954 34.4715805 35.0976181 35.8715096 36.6765137 37.4792366 38.4073257 39.3926544 40.529686 41.9194298 43.3754501 45.0631714 47.3699875 50.1254158 54.0562553 60.3858337 115.483475 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 61.0 41.6 43.8 17.8 40.4 58.4 46.2 57.5 -29.1 -9.4 -20.0 7.5 13.3 2 61.0 100.0 62.4 53.8 22.7 61.6 94.0 66.9 89.9 -48.9 -18.5 -35.2 27.9 25.2 3 41.6 62.4 100.0 31.4 -1.4 26.4 66.1 47.0 67.9 -17.3 -19.2 -38.7 63.3 12.6 4 43.8 53.8 31.4 100.0 5.2 27.7 54.8 42.0 58.6 -14.6 -22.6 -44.7 10.7 68.8 5 17.8 22.7 -1.4 5.2 100.0 82.2 -6.0 49.2 49.7 28.7 -1.6 -0.2 -9.7 -2.7 6 40.4 61.6 26.4 27.7 82.2 100.0 38.6 73.9 77.1 -3.2 -9.0 -15.5 5.5 9.7 7 58.4 94.0 66.1 54.8 -6.0 38.6 100.0 58.7 76.9 -56.5 -17.7 -35.8 32.8 27.7 8 46.2 66.9 47.0 42.0 49.2 73.9 58.7 100.0 78.4 -8.8 -16.9 -28.5 20.8 20.6 9 57.5 89.9 67.9 58.6 49.7 77.1 76.9 78.4 100.0 -22.2 -20.7 -39.5 32.7 30.0 10 -29.1 -48.9 -17.3 -14.6 28.7 -3.2 -56.5 -8.8 -22.2 100.0 3.8 8.6 -4.8 -3.5 11 -9.4 -18.5 -19.2 -22.6 -1.6 -9.0 -17.7 -16.9 -20.7 3.8 100.0 54.5 -4.7 -10.1 12 -20.0 -35.2 -38.7 -44.7 -0.2 -15.5 -35.8 -28.5 -39.5 8.6 54.5 100.0 -13.9 -19.7 13 7.5 27.9 63.3 10.7 -9.7 5.5 32.8 20.8 32.7 -4.8 -4.7 -13.9 100.0 41.6 14 13.3 25.2 12.6 68.8 -2.7 9.7 27.7 20.6 30.0 -3.5 -10.1 -19.7 41.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 140.455102 TOTAL CORRELATION OF ALL VARIABLES 67.0299389 ROUND 1: MAX CORR ( 67.0297554) AFTER KILLING INPUT VARIABLE 6 CONTR 0.1568396 ROUND 2: MAX CORR ( 67.0197822) AFTER KILLING INPUT VARIABLE 11 CONTR 1.15624422 ROUND 3: MAX CORR ( 66.9325269) AFTER KILLING INPUT VARIABLE 7 CONTR 3.41877972 ROUND 4: MAX CORR ( 66.6909751) AFTER KILLING INPUT VARIABLE 14 CONTR 5.68128513 ROUND 5: MAX CORR ( 66.4034286) AFTER KILLING INPUT VARIABLE 10 CONTR 6.18634132 ROUND 6: MAX CORR ( 66.1404327) AFTER KILLING INPUT VARIABLE 8 CONTR 5.90410858 ROUND 7: MAX CORR ( 65.569153) AFTER KILLING INPUT VARIABLE 12 CONTR 8.67427299 ROUND 8: MAX CORR ( 64.6786803) AFTER KILLING INPUT VARIABLE 9 CONTR 10.7695003 ROUND 9: MAX CORR ( 64.4530823) AFTER KILLING INPUT VARIABLE 5 CONTR 5.39739434 ROUND 10: MAX CORR ( 63.2245269) AFTER KILLING INPUT VARIABLE 4 CONTR 12.5243373 ROUND 11: MAX CORR ( 61.8048915) AFTER KILLING INPUT VARIABLE 3 CONTR 13.3227695 ROUND 12: MAX CORR ( 61.0038765) AFTER KILLING INPUT VARIABLE 13 CONTR 9.9182488 LAST REMAINING VARIABLE: 2 total correlation to target: 67.0299389 % total significance: 132.565505 sigma correlations of single variables to target: variable 2: 61.0038765 % , in sigma: 120.647726 variable 3: 41.5770097 % , in sigma: 82.2270968 variable 4: 43.7927172 % , in sigma: 86.6091144 variable 5: 17.8149109 % , in sigma: 35.2326541 variable 6: 40.4361496 % , in sigma: 79.9708111 variable 7: 58.3597829 % , in sigma: 115.418486 variable 8: 46.1705259 % , in sigma: 91.3117207 variable 9: 57.450927 % , in sigma: 113.621036 variable 10: -29.1128575 % , in sigma: 57.5766696 variable 11: -9.3780702 % , in sigma: 18.5470646 variable 12: -20.0155421 % , in sigma: 39.5848555 variable 13: 7.50330513 % , in sigma: 14.8393307 variable 14: 13.2906244 % , in sigma: 26.2849462 variables sorted by significance: 1 most relevant variable 2 corr 61.0038757 , in sigma: 120.647724 2 most relevant variable 13 corr 9.91824913 , in sigma: 19.6153797 3 most relevant variable 3 corr 13.3227692 , in sigma: 26.348519 4 most relevant variable 4 corr 12.5243378 , in sigma: 24.7694565 5 most relevant variable 5 corr 5.39739418 , in sigma: 10.6744582 6 most relevant variable 9 corr 10.7695007 , in sigma: 21.298905 7 most relevant variable 12 corr 8.67427254 , in sigma: 17.1551598 8 most relevant variable 8 corr 5.90410852 , in sigma: 11.6765902 9 most relevant variable 10 corr 6.18634129 , in sigma: 12.2347636 10 most relevant variable 14 corr 5.6812849 , in sigma: 11.2359106 11 most relevant variable 7 corr 3.41877961 , in sigma: 6.76134056 12 most relevant variable 11 corr 1.15624416 , in sigma: 2.28671088 13 most relevant variable 6 corr 0.156839594 , in sigma: 0.310182588 global correlations between input variables: variable 2: 99.1224855 % variable 3: 93.1190698 % variable 4: 90.9797767 % variable 5: 95.3402365 % variable 6: 94.3686145 % variable 7: 98.6785394 % variable 8: 86.6416054 % variable 9: 98.7851506 % variable 10: 72.316306 % variable 11: 55.1018321 % variable 12: 67.954675 % variable 13: 85.1378784 % variable 14: 87.1176033 % significance loss when removing single variables: variable 2: corr = 5.89661517 % , sigma = 11.6617705 variable 3: corr = 13.9874952 % , sigma = 27.6631516 variable 4: corr = 16.7798039 % , sigma = 33.1855169 variable 5: corr = 10.7271758 % , sigma = 21.2151988 variable 6: corr = 0.1568396 % , sigma = 0.3101826 variable 7: corr = 3.29684098 % , sigma = 6.52018181 variable 8: corr = 3.90460471 % , sigma = 7.72215971 variable 9: corr = 9.59893038 % , sigma = 18.9838611 variable 10: corr = 5.79420302 % , sigma = 11.4592294 variable 11: corr = 1.15996824 % , sigma = 2.29407601 variable 12: corr = 7.11880947 % , sigma = 14.0789114 variable 13: corr = 6.50232104 % , sigma = 12.8596786 variable 14: corr = 5.61852348 % , sigma = 11.1117869 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 25.5595284 sigma out 15 active outputs RANK 2 NODE 12 --> 22.3055401 sigma out 15 active outputs RANK 3 NODE 1 --> 18.1024647 sigma out 15 active outputs RANK 4 NODE 10 --> 16.9115219 sigma out 15 active outputs RANK 5 NODE 8 --> 16.0463619 sigma out 15 active outputs RANK 6 NODE 5 --> 15.849205 sigma out 15 active outputs RANK 7 NODE 6 --> 15.8184776 sigma out 15 active outputs RANK 8 NODE 7 --> 14.8233242 sigma out 15 active outputs RANK 9 NODE 11 --> 14.285408 sigma out 15 active outputs RANK 10 NODE 2 --> 13.5432987 sigma out 15 active outputs RANK 11 NODE 9 --> 13.0683985 sigma out 15 active outputs RANK 12 NODE 3 --> 9.73270893 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 38.7046471 sigma in 12act. ( 41.5416679 sig out 1act.) RANK 2 NODE 13 --> 31.1573067 sigma in 12act. ( 29.9517403 sig out 1act.) RANK 3 NODE 14 --> 14.7087154 sigma in 12act. ( 19.3987617 sig out 1act.) RANK 4 NODE 12 --> 14.4669743 sigma in 12act. ( 14.1980448 sig out 1act.) RANK 5 NODE 1 --> 11.7070923 sigma in 12act. ( 11.346487 sig out 1act.) RANK 6 NODE 4 --> 11.1277275 sigma in 12act. ( 8.94323158 sig out 1act.) RANK 7 NODE 7 --> 10.5766382 sigma in 12act. ( 8.44703865 sig out 1act.) RANK 8 NODE 3 --> 6.44154119 sigma in 12act. ( 5.22292137 sig out 1act.) RANK 9 NODE 15 --> 6.07101011 sigma in 12act. ( 5.41778708 sig out 1act.) RANK 10 NODE 8 --> 4.85803986 sigma in 12act. ( 5.04377604 sig out 1act.) RANK 11 NODE 11 --> 3.53481412 sigma in 12act. ( 3.40761781 sig out 1act.) RANK 12 NODE 6 --> 2.47331715 sigma in 12act. ( 2.04456496 sig out 1act.) RANK 13 NODE 5 --> 1.98203826 sigma in 12act. ( 0.280773342 sig out 1act.) RANK 14 NODE 9 --> 1.63108015 sigma in 12act. ( 0.00963634346 sig out 1act.) RANK 15 NODE 2 --> 1.34136069 sigma in 12act. ( 0.84107101 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 41.5416679 sigma out 1act.( 38.7046471 sig in 12act.) RANK 2 NODE 13 --> 29.9517403 sigma out 1act.( 31.1573067 sig in 12act.) RANK 3 NODE 14 --> 19.3987617 sigma out 1act.( 14.7087154 sig in 12act.) RANK 4 NODE 12 --> 14.1980448 sigma out 1act.( 14.4669743 sig in 12act.) RANK 5 NODE 1 --> 11.346487 sigma out 1act.( 11.7070923 sig in 12act.) RANK 6 NODE 4 --> 8.94323158 sigma out 1act.( 11.1277275 sig in 12act.) RANK 7 NODE 7 --> 8.44703865 sigma out 1act.( 10.5766382 sig in 12act.) RANK 8 NODE 15 --> 5.41778708 sigma out 1act.( 6.07101011 sig in 12act.) RANK 9 NODE 3 --> 5.22292137 sigma out 1act.( 6.44154119 sig in 12act.) RANK 10 NODE 8 --> 5.04377604 sigma out 1act.( 4.85803986 sig in 12act.) RANK 11 NODE 11 --> 3.40761781 sigma out 1act.( 3.53481412 sig in 12act.) RANK 12 NODE 6 --> 2.04456496 sigma out 1act.( 2.47331715 sig in 12act.) RANK 13 NODE 2 --> 0.84107101 sigma out 1act.( 1.34136069 sig in 12act.) RANK 14 NODE 5 --> 0.280773342 sigma out 1act.( 1.98203826 sig in 12act.) RANK 15 NODE 9 --> 0.00963634346 sigma out 1act.( 1.63108015 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 59.8284149 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 27.1895504 sigma out 15 active outputs RANK 2 NODE 4 --> 25.142664 sigma out 15 active outputs RANK 3 NODE 1 --> 18.6094322 sigma out 15 active outputs RANK 4 NODE 10 --> 17.4975471 sigma out 15 active outputs RANK 5 NODE 5 --> 16.4836082 sigma out 15 active outputs RANK 6 NODE 8 --> 16.083849 sigma out 15 active outputs RANK 7 NODE 7 --> 15.8738089 sigma out 15 active outputs RANK 8 NODE 11 --> 15.6071072 sigma out 15 active outputs RANK 9 NODE 6 --> 15.51511 sigma out 15 active outputs RANK 10 NODE 2 --> 13.9641037 sigma out 15 active outputs RANK 11 NODE 9 --> 13.8569365 sigma out 15 active outputs RANK 12 NODE 3 --> 12.1541014 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 38.0880508 sigma in 12act. ( 40.3617744 sig out 1act.) RANK 2 NODE 13 --> 32.0179558 sigma in 12act. ( 30.3264141 sig out 1act.) RANK 3 NODE 14 --> 19.9641266 sigma in 12act. ( 19.7359791 sig out 1act.) RANK 4 NODE 12 --> 13.4819984 sigma in 12act. ( 13.3814907 sig out 1act.) RANK 5 NODE 1 --> 12.4380817 sigma in 12act. ( 10.7729721 sig out 1act.) RANK 6 NODE 4 --> 10.5479269 sigma in 12act. ( 8.09267426 sig out 1act.) RANK 7 NODE 7 --> 9.58222389 sigma in 12act. ( 7.56608963 sig out 1act.) RANK 8 NODE 15 --> 8.61227036 sigma in 12act. ( 5.33189249 sig out 1act.) RANK 9 NODE 2 --> 8.16864872 sigma in 12act. ( 1.60151052 sig out 1act.) RANK 10 NODE 3 --> 8.00821781 sigma in 12act. ( 4.84262228 sig out 1act.) RANK 11 NODE 6 --> 7.47722483 sigma in 12act. ( 3.64581394 sig out 1act.) RANK 12 NODE 8 --> 7.25416613 sigma in 12act. ( 5.25959158 sig out 1act.) RANK 13 NODE 5 --> 6.020895 sigma in 12act. ( 0.574274302 sig out 1act.) RANK 14 NODE 11 --> 5.73565722 sigma in 12act. ( 3.78061366 sig out 1act.) RANK 15 NODE 9 --> 5.35138798 sigma in 12act. ( 0.351619691 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 40.3617744 sigma out 1act.( 38.0880508 sig in 12act.) RANK 2 NODE 13 --> 30.3264141 sigma out 1act.( 32.0179558 sig in 12act.) RANK 3 NODE 14 --> 19.7359791 sigma out 1act.( 19.9641266 sig in 12act.) RANK 4 NODE 12 --> 13.3814907 sigma out 1act.( 13.4819984 sig in 12act.) RANK 5 NODE 1 --> 10.7729721 sigma out 1act.( 12.4380817 sig in 12act.) RANK 6 NODE 4 --> 8.09267426 sigma out 1act.( 10.5479269 sig in 12act.) RANK 7 NODE 7 --> 7.56608963 sigma out 1act.( 9.58222389 sig in 12act.) RANK 8 NODE 15 --> 5.33189249 sigma out 1act.( 8.61227036 sig in 12act.) RANK 9 NODE 8 --> 5.25959158 sigma out 1act.( 7.25416613 sig in 12act.) RANK 10 NODE 3 --> 4.84262228 sigma out 1act.( 8.00821781 sig in 12act.) RANK 11 NODE 11 --> 3.78061366 sigma out 1act.( 5.73565722 sig in 12act.) RANK 12 NODE 6 --> 3.64581394 sigma out 1act.( 7.47722483 sig in 12act.) RANK 13 NODE 2 --> 1.60151052 sigma out 1act.( 8.16864872 sig in 12act.) RANK 14 NODE 5 --> 0.574274302 sigma out 1act.( 6.020895 sig in 12act.) RANK 15 NODE 9 --> 0.351619691 sigma out 1act.( 5.35138798 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 58.8751068 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.434509426 *** contribution from regularisation: 0.0035141285 *** contribution from error: -0.438023567 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.469671935 *** contribution from regularisation: 0.00211824267 *** contribution from error: -0.471790165 *********************************************** -----------------> Test sample ENTER BFGS code START -45883.0941 -0.0772803724 0.0573018678 EXIT FROM BFGS code FG_START 0. -0.0772803724 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.49350369 *** contribution from regularisation: 0.00200178823 *** contribution from error: -0.495505482 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -48200.9996 -0.0772803724 85.0710449 EXIT FROM BFGS code FG_LNSRCH 0. -0.0622969382 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.532410145 *** contribution from regularisation: 0.0026498253 *** contribution from error: -0.535059988 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52001.033 -0.0622969382 209.880875 EXIT FROM BFGS code NEW_X -52001.033 -0.0622969382 209.880875 ENTER BFGS code NEW_X -52001.033 -0.0622969382 209.880875 EXIT FROM BFGS code FG_LNSRCH 0. -0.016683545 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.536115944 *** contribution from regularisation: 0.00294506946 *** contribution from error: -0.53906101 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52362.982 -0.016683545 56.7628937 EXIT FROM BFGS code NEW_X -52362.982 -0.016683545 56.7628937 ENTER BFGS code NEW_X -52362.982 -0.016683545 56.7628937 EXIT FROM BFGS code FG_LNSRCH 0. 0.00338106207 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.536863446 *** contribution from regularisation: 0.00299086585 *** contribution from error: -0.539854288 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52435.9878 0.00338106207 28.8035908 EXIT FROM BFGS code NEW_X -52435.9878 0.00338106207 28.8035908 ENTER BFGS code NEW_X -52435.9878 0.00338106207 28.8035908 EXIT FROM BFGS code FG_LNSRCH 0. 0.0310278516 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.537308395 *** contribution from regularisation: 0.0029611853 *** contribution from error: -0.540269554 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52479.4474 0.0310278516 -12.0420523 EXIT FROM BFGS code NEW_X -52479.4474 0.0310278516 -12.0420523 ENTER BFGS code NEW_X -52479.4474 0.0310278516 -12.0420523 EXIT FROM BFGS code FG_LNSRCH 0. 0.058825057 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.53796041 *** contribution from regularisation: 0.00288661127 *** contribution from error: -0.540847003 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52543.1298 0.058825057 -17.4292431 EXIT FROM BFGS code NEW_X -52543.1298 0.058825057 -17.4292431 ENTER BFGS code NEW_X -52543.1298 0.058825057 -17.4292431 EXIT FROM BFGS code FG_LNSRCH 0. 0.212300986 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.540048003 *** contribution from regularisation: 0.00300001493 *** contribution from error: -0.543048024 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52747.0281 0.212300986 -130.157318 EXIT FROM BFGS code NEW_X -52747.0281 0.212300986 -130.157318 ENTER BFGS code NEW_X -52747.0281 0.212300986 -130.157318 EXIT FROM BFGS code FG_LNSRCH 0. 0.211524978 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 54.7434998 sigma out 15 active outputs RANK 2 NODE 3 --> 26.9071083 sigma out 15 active outputs RANK 3 NODE 1 --> 23.7448902 sigma out 15 active outputs RANK 4 NODE 6 --> 23.2898788 sigma out 15 active outputs RANK 5 NODE 4 --> 20.9719181 sigma out 15 active outputs RANK 6 NODE 2 --> 19.4976215 sigma out 15 active outputs RANK 7 NODE 11 --> 15.9315042 sigma out 15 active outputs RANK 8 NODE 10 --> 14.5131636 sigma out 15 active outputs RANK 9 NODE 7 --> 12.2271194 sigma out 15 active outputs RANK 10 NODE 8 --> 8.39977646 sigma out 15 active outputs RANK 11 NODE 5 --> 7.97321272 sigma out 15 active outputs RANK 12 NODE 9 --> 6.99163961 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 58.7364464 sigma in 12act. ( 62.394001 sig out 1act.) RANK 2 NODE 13 --> 33.291748 sigma in 12act. ( 31.1185284 sig out 1act.) RANK 3 NODE 10 --> 24.7741661 sigma in 12act. ( 23.4478054 sig out 1act.) RANK 4 NODE 2 --> 19.211441 sigma in 12act. ( 22.6567421 sig out 1act.) RANK 5 NODE 6 --> 18.6439648 sigma in 12act. ( 13.7603102 sig out 1act.) RANK 6 NODE 8 --> 11.9145041 sigma in 12act. ( 10.9327021 sig out 1act.) RANK 7 NODE 12 --> 10.4911041 sigma in 12act. ( 10.028018 sig out 1act.) RANK 8 NODE 3 --> 9.92650986 sigma in 12act. ( 9.24353981 sig out 1act.) RANK 9 NODE 11 --> 7.85490894 sigma in 12act. ( 6.04973984 sig out 1act.) RANK 10 NODE 5 --> 6.76640177 sigma in 12act. ( 5.78574562 sig out 1act.) RANK 11 NODE 1 --> 5.59953737 sigma in 12act. ( 4.02264929 sig out 1act.) RANK 12 NODE 4 --> 4.86349821 sigma in 12act. ( 3.55029869 sig out 1act.) RANK 13 NODE 15 --> 4.33316326 sigma in 12act. ( 1.21733975 sig out 1act.) RANK 14 NODE 9 --> 3.52880859 sigma in 12act. ( 2.18310928 sig out 1act.) RANK 15 NODE 7 --> 3.31612372 sigma in 12act. ( 0.941402972 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 62.394001 sigma out 1act.( 58.7364464 sig in 12act.) RANK 2 NODE 13 --> 31.1185284 sigma out 1act.( 33.291748 sig in 12act.) RANK 3 NODE 10 --> 23.4478054 sigma out 1act.( 24.7741661 sig in 12act.) RANK 4 NODE 2 --> 22.6567421 sigma out 1act.( 19.211441 sig in 12act.) RANK 5 NODE 6 --> 13.7603102 sigma out 1act.( 18.6439648 sig in 12act.) RANK 6 NODE 8 --> 10.9327021 sigma out 1act.( 11.9145041 sig in 12act.) RANK 7 NODE 12 --> 10.028018 sigma out 1act.( 10.4911041 sig in 12act.) RANK 8 NODE 3 --> 9.24353981 sigma out 1act.( 9.92650986 sig in 12act.) RANK 9 NODE 11 --> 6.04973984 sigma out 1act.( 7.85490894 sig in 12act.) RANK 10 NODE 5 --> 5.78574562 sigma out 1act.( 6.76640177 sig in 12act.) RANK 11 NODE 1 --> 4.02264929 sigma out 1act.( 5.59953737 sig in 12act.) RANK 12 NODE 4 --> 3.55029869 sigma out 1act.( 4.86349821 sig in 12act.) RANK 13 NODE 9 --> 2.18310928 sigma out 1act.( 3.52880859 sig in 12act.) RANK 14 NODE 15 --> 1.21733975 sigma out 1act.( 4.33316326 sig in 12act.) RANK 15 NODE 7 --> 0.941402972 sigma out 1act.( 3.31612372 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 80.7797623 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.541071832 *** contribution from regularisation: 0.00305461138 *** contribution from error: -0.544126451 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -52847.0262 0.211524978 113.962914 EXIT FROM BFGS code NEW_X -52847.0262 0.211524978 113.962914 ENTER BFGS code NEW_X -52847.0262 0.211524978 113.962914 EXIT FROM BFGS code FG_LNSRCH 0. 0.222439498 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.542200506 *** contribution from regularisation: 0.00269519258 *** contribution from error: -0.544895709 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52957.2635 0.222439498 15.5921001 EXIT FROM BFGS code NEW_X -52957.2635 0.222439498 15.5921001 ENTER BFGS code NEW_X -52957.2635 0.222439498 15.5921001 EXIT FROM BFGS code FG_LNSRCH 0. 0.211964116 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.542357028 *** contribution from regularisation: 0.00268562022 *** contribution from error: -0.545042634 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52972.5538 0.211964116 -15.4205523 EXIT FROM BFGS code NEW_X -52972.5538 0.211964116 -15.4205523 ENTER BFGS code NEW_X -52972.5538 0.211964116 -15.4205523 EXIT FROM BFGS code FG_LNSRCH 0. 0.206784829 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.542527974 *** contribution from regularisation: 0.00274240668 *** contribution from error: -0.545270383 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52989.2497 0.206784829 11.1255655 EXIT FROM BFGS code NEW_X -52989.2497 0.206784829 11.1255655 ENTER BFGS code NEW_X -52989.2497 0.206784829 11.1255655 EXIT FROM BFGS code FG_LNSRCH 0. 0.210323393 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.542831838 *** contribution from regularisation: 0.00276789768 *** contribution from error: -0.545599759 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53018.9285 0.210323393 16.9499531 EXIT FROM BFGS code NEW_X -53018.9285 0.210323393 16.9499531 ENTER BFGS code NEW_X -53018.9285 0.210323393 16.9499531 EXIT FROM BFGS code FG_LNSRCH 0. 0.249978542 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.543436944 *** contribution from regularisation: 0.0030270624 *** contribution from error: -0.546464026 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53078.0309 0.249978542 15.0226545 EXIT FROM BFGS code NEW_X -53078.0309 0.249978542 15.0226545 ENTER BFGS code NEW_X -53078.0309 0.249978542 15.0226545 EXIT FROM BFGS code FG_LNSRCH 0. 0.286232919 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.542400479 *** contribution from regularisation: 0.00331046805 *** contribution from error: -0.545710921 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52976.7986 0.286232919 28.185894 EXIT FROM BFGS code FG_LNSRCH 0. 0.258896887 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.543641627 *** contribution from regularisation: 0.00308619929 *** contribution from error: -0.546727836 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53098.0197 0.258896887 17.9731331 EXIT FROM BFGS code NEW_X -53098.0197 0.258896887 17.9731331 ENTER BFGS code NEW_X -53098.0197 0.258896887 17.9731331 EXIT FROM BFGS code FG_LNSRCH 0. 0.274228066 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.543821573 *** contribution from regularisation: 0.00315428036 *** contribution from error: -0.546975851 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53115.5946 0.274228066 -17.5341492 EXIT FROM BFGS code NEW_X -53115.5946 0.274228066 -17.5341492 ENTER BFGS code NEW_X -53115.5946 0.274228066 -17.5341492 EXIT FROM BFGS code FG_LNSRCH 0. 0.279072911 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.544004321 *** contribution from regularisation: 0.00314779766 *** contribution from error: -0.547152102 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53133.4461 0.279072911 -11.6125965 EXIT FROM BFGS code NEW_X -53133.4461 0.279072911 -11.6125965 ENTER BFGS code NEW_X -53133.4461 0.279072911 -11.6125965 EXIT FROM BFGS code FG_LNSRCH 0. 0.281316251 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 69.6307755 sigma out 15 active outputs RANK 2 NODE 3 --> 39.0090027 sigma out 15 active outputs RANK 3 NODE 1 --> 28.6932774 sigma out 15 active outputs RANK 4 NODE 6 --> 18.3182602 sigma out 15 active outputs RANK 5 NODE 2 --> 17.6545506 sigma out 15 active outputs RANK 6 NODE 11 --> 15.5275965 sigma out 15 active outputs RANK 7 NODE 10 --> 14.635191 sigma out 15 active outputs RANK 8 NODE 7 --> 14.1759014 sigma out 15 active outputs RANK 9 NODE 4 --> 13.9487734 sigma out 15 active outputs RANK 10 NODE 8 --> 9.15762997 sigma out 15 active outputs RANK 11 NODE 9 --> 8.21203899 sigma out 15 active outputs RANK 12 NODE 5 --> 7.83888674 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 78.1477966 sigma in 12act. ( 90.5990295 sig out 1act.) RANK 2 NODE 13 --> 33.2218323 sigma in 12act. ( 32.3490715 sig out 1act.) RANK 3 NODE 10 --> 23.6285477 sigma in 12act. ( 24.4437675 sig out 1act.) RANK 4 NODE 2 --> 16.5402908 sigma in 12act. ( 17.3768749 sig out 1act.) RANK 5 NODE 6 --> 13.5430069 sigma in 12act. ( 12.2836685 sig out 1act.) RANK 6 NODE 8 --> 13.2783909 sigma in 12act. ( 14.4334993 sig out 1act.) RANK 7 NODE 12 --> 12.6401987 sigma in 12act. ( 13.1126318 sig out 1act.) RANK 8 NODE 5 --> 9.62909985 sigma in 12act. ( 9.95567226 sig out 1act.) RANK 9 NODE 3 --> 9.03059673 sigma in 12act. ( 9.05401039 sig out 1act.) RANK 10 NODE 4 --> 6.57860708 sigma in 12act. ( 6.69074392 sig out 1act.) RANK 11 NODE 1 --> 6.56043768 sigma in 12act. ( 5.91961575 sig out 1act.) RANK 12 NODE 11 --> 5.21432877 sigma in 12act. ( 4.0367012 sig out 1act.) RANK 13 NODE 15 --> 4.94819593 sigma in 12act. ( 4.12436056 sig out 1act.) RANK 14 NODE 9 --> 4.68836975 sigma in 12act. ( 4.33168793 sig out 1act.) RANK 15 NODE 7 --> 2.80298424 sigma in 12act. ( 1.65976036 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 90.5990295 sigma out 1act.( 78.1477966 sig in 12act.) RANK 2 NODE 13 --> 32.3490715 sigma out 1act.( 33.2218323 sig in 12act.) RANK 3 NODE 10 --> 24.4437675 sigma out 1act.( 23.6285477 sig in 12act.) RANK 4 NODE 2 --> 17.3768749 sigma out 1act.( 16.5402908 sig in 12act.) RANK 5 NODE 8 --> 14.4334993 sigma out 1act.( 13.2783909 sig in 12act.) RANK 6 NODE 12 --> 13.1126318 sigma out 1act.( 12.6401987 sig in 12act.) RANK 7 NODE 6 --> 12.2836685 sigma out 1act.( 13.5430069 sig in 12act.) RANK 8 NODE 5 --> 9.95567226 sigma out 1act.( 9.62909985 sig in 12act.) RANK 9 NODE 3 --> 9.05401039 sigma out 1act.( 9.03059673 sig in 12act.) RANK 10 NODE 4 --> 6.69074392 sigma out 1act.( 6.57860708 sig in 12act.) RANK 11 NODE 1 --> 5.91961575 sigma out 1act.( 6.56043768 sig in 12act.) RANK 12 NODE 9 --> 4.33168793 sigma out 1act.( 4.68836975 sig in 12act.) RANK 13 NODE 15 --> 4.12436056 sigma out 1act.( 4.94819593 sig in 12act.) RANK 14 NODE 11 --> 4.0367012 sigma out 1act.( 5.21432877 sig in 12act.) RANK 15 NODE 7 --> 1.65976036 sigma out 1act.( 2.80298424 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 104.885551 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.544181228 *** contribution from regularisation: 0.00318495766 *** contribution from error: -0.547366202 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -53150.7226 0.281316251 -18.618063 EXIT FROM BFGS code NEW_X -53150.7226 0.281316251 -18.618063 ENTER BFGS code NEW_X -53150.7226 0.281316251 -18.618063 EXIT FROM BFGS code FG_LNSRCH 0. 0.276892453 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.544387043 *** contribution from regularisation: 0.00318876468 *** contribution from error: -0.547575831 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53170.8285 0.276892453 -30.6988201 EXIT FROM BFGS code NEW_X -53170.8285 0.276892453 -30.6988201 ENTER BFGS code NEW_X -53170.8285 0.276892453 -30.6988201 EXIT FROM BFGS code FG_LNSRCH 0. 0.255439579 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.544181705 *** contribution from regularisation: 0.00321798399 *** contribution from error: -0.5473997 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53150.7711 0.255439579 48.3536682 EXIT FROM BFGS code FG_LNSRCH 0. 0.271095484 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.544282496 *** contribution from regularisation: 0.00336817536 *** contribution from error: -0.547650695 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53160.6138 0.271095484 -8.58006096 EXIT FROM BFGS code FG_LNSRCH 0. 0.276252151 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.544304848 *** contribution from regularisation: 0.00328290532 *** contribution from error: -0.547587752 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53162.7974 0.276252151 -28.0499668 EXIT FROM BFGS code FG_LNSRCH 0. 0.276877433 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.544291735 *** contribution from regularisation: 0.0032843824 *** contribution from error: -0.547576129 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53161.5156 0.276877433 -30.2992363 EXIT FROM BFGS code FG_LNSRCH 0. 0.276892453 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.54431802 *** contribution from regularisation: 0.00325779081 *** contribution from error: -0.547575831 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53164.0866 0.276892453 -30.4476757 EXIT FROM BFGS code FG_LNSRCH 0. 0.276892453 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.544299662 *** contribution from regularisation: 0.00327618211 *** contribution from error: -0.547575831 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53162.2903 0.276892453 -30.3543243 EXIT FROM BFGS code FG_LNSRCH 0. 0.276892453 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.544305384 *** contribution from regularisation: 0.00327045238 *** contribution from error: -0.547575831 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53162.85 0.276892453 -30.5101452 EXIT FROM BFGS code FG_LNSRCH 0. 0.276892453 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.544279397 *** contribution from regularisation: 0.00329644931 *** contribution from error: -0.547575831 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53160.3108 0.276892453 -30.3341904 EXIT FROM BFGS code NEW_X -53160.3108 0.276892453 -30.3341904 ENTER BFGS code NEW_X -53160.3108 0.276892453 -30.3341904 EXIT FROM BFGS code CONVERGENC -53160.3108 0.276892453 -30.3341904 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 121.025597 sigma out 15 active outputs RANK 2 NODE 3 --> 66.9118958 sigma out 15 active outputs RANK 3 NODE 1 --> 50.0628624 sigma out 15 active outputs RANK 4 NODE 6 --> 30.6200504 sigma out 15 active outputs RANK 5 NODE 4 --> 29.7391682 sigma out 15 active outputs RANK 6 NODE 2 --> 27.8919048 sigma out 15 active outputs RANK 7 NODE 7 --> 25.1118164 sigma out 15 active outputs RANK 8 NODE 10 --> 24.7068501 sigma out 15 active outputs RANK 9 NODE 11 --> 23.3559093 sigma out 15 active outputs RANK 10 NODE 9 --> 15.5546618 sigma out 15 active outputs RANK 11 NODE 5 --> 14.9577169 sigma out 15 active outputs RANK 12 NODE 8 --> 14.7014647 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 140.132492 sigma in 12act. ( 155.247711 sig out 1act.) RANK 2 NODE 13 --> 55.5706978 sigma in 12act. ( 55.3119621 sig out 1act.) RANK 3 NODE 10 --> 36.8725128 sigma in 12act. ( 39.4901047 sig out 1act.) RANK 4 NODE 2 --> 23.4302521 sigma in 12act. ( 26.2572289 sig out 1act.) RANK 5 NODE 12 --> 22.089386 sigma in 12act. ( 23.9942303 sig out 1act.) RANK 6 NODE 6 --> 20.2058868 sigma in 12act. ( 19.6471367 sig out 1act.) RANK 7 NODE 8 --> 19.8382797 sigma in 12act. ( 23.2252407 sig out 1act.) RANK 8 NODE 5 --> 15.3533659 sigma in 12act. ( 16.8435917 sig out 1act.) RANK 9 NODE 3 --> 13.6549768 sigma in 12act. ( 14.9704103 sig out 1act.) RANK 10 NODE 1 --> 10.6504478 sigma in 12act. ( 10.6685419 sig out 1act.) RANK 11 NODE 4 --> 9.81254101 sigma in 12act. ( 10.9219065 sig out 1act.) RANK 12 NODE 11 --> 6.95332766 sigma in 12act. ( 6.49108171 sig out 1act.) RANK 13 NODE 9 --> 6.91850185 sigma in 12act. ( 6.78894091 sig out 1act.) RANK 14 NODE 15 --> 6.2917552 sigma in 12act. ( 5.85714054 sig out 1act.) RANK 15 NODE 7 --> 2.78226161 sigma in 12act. ( 2.06821585 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 155.247711 sigma out 1act.( 140.132492 sig in 12act.) RANK 2 NODE 13 --> 55.3119621 sigma out 1act.( 55.5706978 sig in 12act.) RANK 3 NODE 10 --> 39.4901047 sigma out 1act.( 36.8725128 sig in 12act.) RANK 4 NODE 2 --> 26.2572289 sigma out 1act.( 23.4302521 sig in 12act.) RANK 5 NODE 12 --> 23.9942303 sigma out 1act.( 22.089386 sig in 12act.) RANK 6 NODE 8 --> 23.2252407 sigma out 1act.( 19.8382797 sig in 12act.) RANK 7 NODE 6 --> 19.6471367 sigma out 1act.( 20.2058868 sig in 12act.) RANK 8 NODE 5 --> 16.8435917 sigma out 1act.( 15.3533659 sig in 12act.) RANK 9 NODE 3 --> 14.9704103 sigma out 1act.( 13.6549768 sig in 12act.) RANK 10 NODE 4 --> 10.9219065 sigma out 1act.( 9.81254101 sig in 12act.) RANK 11 NODE 1 --> 10.6685419 sigma out 1act.( 10.6504478 sig in 12act.) RANK 12 NODE 9 --> 6.78894091 sigma out 1act.( 6.91850185 sig in 12act.) RANK 13 NODE 11 --> 6.49108171 sigma out 1act.( 6.95332766 sig in 12act.) RANK 14 NODE 15 --> 5.85714054 sigma out 1act.( 6.2917552 sig in 12act.) RANK 15 NODE 7 --> 2.06821585 sigma out 1act.( 2.78226161 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 178.266815 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.544316053 *** contribution from regularisation: 0.00325975008 *** contribution from error: -0.547575831 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done