NNInput NNInputs_190.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 37228 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 = 6784 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 6784 Chosen entries: 6784 Signal fraction: 1 Background fraction: 0.222835 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 6784 Entries to split: 6784 Test with : 3392 Train with : 3392 ********************************************* * 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= 6784 for Signal Prepared event 0 for Signal with 6784 events ====Entry 0 Variable Ht : 290.811 Variable LepAPt : 60.8145 Variable LepBPt : 48.3044 Variable MetSigLeptonsJets : 2.56116 Variable MetSpec : 30.1727 Variable SumEtLeptonsJets : 250.292 Variable VSumJetLeptonsPt : 46.97 Variable addEt : 149.638 Variable dPhiLepSumMet : 0.944627 Variable dPhiLeptons : 0.236454 Variable dRLeptons : 0.258245 Variable lep1_E : 72.0368 Variable lep2_E : 54.3369 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2190 Ht = 290.811 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 60.8146 LepAPt = 60.8145 LepBEt = 48.3045 LepBPt = 48.3044 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 40.5191 MetDelPhi = 0.840017 MetSig = 2.11751 MetSigLeptonsJets = 2.56116 MetSpec = 30.1727 Mjj = 0 MostCentralJetEta = -0.973282 MtllMet = 154.342 Njets = 1 SB = 0 SumEt = 366.159 SumEtJets = 0 SumEtLeptonsJets = 250.292 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 46.97 addEt = 149.638 dPhiLepSumMet = 0.944627 dPhiLeptons = 0.236454 dRLeptons = 0.258245 diltype = 28 dimass = 13.9734 event = 947 jet1_Et = 141.173 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 72.0368 lep2_E = 54.3369 rand = 0.999742 run = 228536 weight = 2.29768e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 30444 for Background Prepared event 0 for Background with 30444 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 = 0.828992 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 30444 events Prepared event 20000 for Background with 30444 events Prepared event 30000 for Background with 30444 events Warning: found 1006 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 37228 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 1006 negative weights. Signal fraction: 62.4061928 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.9230614 62.2097473 64.0800018 66.1810074 68.0124969 70.1102829 71.5370941 73.2012787 74.7974091 76.805069 78.3539963 80.0094452 81.8053665 83.837944 85.4064331 86.7916718 88.192215 90.0294724 91.4161758 92.943222 94.3262482 95.6095581 96.8370056 98.3759003 99.5992432 100.877815 102.275772 103.892029 105.248947 106.732994 108.173065 109.656342 111.379013 112.963318 114.205322 115.513878 116.985458 118.385788 119.820755 121.135452 122.436256 123.883316 125.323288 126.67878 128.3293 129.661713 130.82547 132.090668 133.195221 134.330597 135.852448 137.051819 138.331467 139.546875 140.702759 141.939133 143.077988 144.380142 145.537277 147.172012 148.433121 149.448181 150.764099 152.19043 153.63205 155.199493 156.646454 158.355316 159.975433 161.607605 163.151703 164.676483 166.176239 167.943771 169.505157 171.063782 172.698181 174.653915 177.042755 179.305954 182.068268 184.822144 186.878464 189.275406 192.033844 194.729614 197.9832 201.366211 205.822861 210.262512 214.624374 219.440948 224.724335 229.851959 237.247223 245.639252 257.99585 271.36377 291.659698 327.324585 679.506348 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.5289307 20.9045906 21.4593506 21.8816795 22.2528152 22.643116 23.0777721 23.3845711 23.8810692 24.2562027 24.5471573 24.8636589 25.1382217 25.5283337 25.8003006 26.0929623 26.3919296 26.7100143 27.0249329 27.3745785 27.7361412 28.0955658 28.3527107 28.6685791 28.9512901 29.2632122 29.5532684 29.8420753 30.1106758 30.4230766 30.7157059 30.9785461 31.2066269 31.47509 31.7992783 32.0556717 32.316185 32.6193619 32.9434204 33.2651367 33.5912552 33.9279175 34.1761589 34.4560432 34.8163452 35.1679916 35.4620667 35.7824631 36.1087875 36.4333572 36.7973862 37.1148529 37.4578323 37.7994919 38.1480331 38.5122986 38.8797379 39.223568 39.6448059 40.0287437 40.4482651 40.8680115 41.2365227 41.7177544 42.1024246 42.5292206 42.9754906 43.5076065 44.059185 44.5560226 45.0314064 45.5978012 46.0704536 46.8528214 47.5351334 47.9511185 48.4585114 49.1536636 49.7375488 50.3889542 51.0102997 51.7538757 52.5259666 53.402832 54.1736908 54.9075851 55.865715 56.5619392 57.6084213 58.9326706 60.0658455 61.3171844 62.6113853 64.2620392 65.8109894 68.2332001 70.929184 75.105835 82.3988647 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0010262 10.1996994 10.3708725 10.5602951 10.8147144 11.078908 11.3420658 11.6034317 11.8752079 12.1349335 12.3774729 12.6243515 12.835722 13.1323767 13.3943768 13.6715431 13.8676586 14.147047 14.3801613 14.5693073 14.784296 15.003233 15.2520676 15.5280628 15.8016586 16.0540085 16.3321342 16.5953217 16.8158264 17.0480652 17.2955704 17.5653839 17.8424644 18.0421715 18.2882767 18.4724007 18.7498627 19.0207787 19.2365036 19.4835491 19.7348671 20.0057163 20.2115116 20.3800488 20.5687637 20.7547951 20.9200916 21.096756 21.2943058 21.4603252 21.6501617 21.7908707 22.0001411 22.1488552 22.3268585 22.4692154 22.6358147 22.797184 22.9882889 23.1662941 23.3317375 23.4910927 23.6752338 23.8243675 24.0107193 24.1830864 24.3960495 24.587101 24.7969055 25.0066414 25.2312889 25.4784393 25.7762127 25.9766788 26.2027683 26.4323521 26.6769753 26.9237061 27.2593765 27.5069485 27.7482491 28.1224403 28.4800224 28.7577286 29.0435295 29.4088898 29.7386246 30.0761528 30.4864883 30.8270073 31.2891006 31.7054634 32.2669907 32.8795395 33.5298119 34.3998032 35.4756088 36.6806717 38.5717697 41.7444382 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.63221824 2.72207546 2.96334934 3.17474461 3.36442471 3.54134464 3.7159183 3.85283327 3.94257641 4.03051758 4.11071444 4.1906023 4.27489758 4.37082195 4.44704437 4.54883194 4.64402008 4.72161198 4.82192135 4.88597298 4.97754669 5.06537867 5.13482666 5.21317053 5.31462336 5.39048195 5.45804167 5.54911947 5.62234592 5.71160889 5.79691029 5.87401104 5.94503403 6.01420021 6.07536888 6.13763809 6.2086792 6.27254677 6.35102749 6.41069984 6.4743042 6.53513622 6.60263348 6.66968155 6.72829771 6.78275681 6.83801651 6.89134216 6.93848419 6.98157263 7.04072571 7.10846424 7.15526104 7.20669174 7.2494688 7.31356239 7.36975813 7.4196167 7.47679663 7.51688576 7.56318045 7.60386229 7.65622997 7.71138287 7.7667675 7.82004642 7.88892937 7.93336868 7.97216749 8.01097775 8.05781174 8.10744858 8.15756416 8.21634579 8.2654171 8.30801773 8.37582874 8.43408775 8.50343323 8.56813622 8.6391058 8.69562435 8.75429726 8.81734753 8.87756157 8.94385719 9.02477837 9.10506058 9.18940926 9.29614925 9.41553783 9.52365112 9.66727066 9.80994225 9.93857574 10.1320267 10.3387833 10.6195621 10.9663906 11.6416359 17.2959347 ------------------------------ Transdef: Tab for variable 6 25.0005894 25.4319286 25.8114166 26.1186142 26.5672035 27.0762558 27.5487366 27.9893398 28.4955006 28.8869724 29.4629402 30.1047134 30.88871 31.6388206 32.341156 32.9155426 33.735733 34.5996208 35.5006294 36.3779755 37.2825813 37.9745865 38.6745224 39.5350113 40.2641945 40.9800224 41.680439 42.5443039 43.3667526 44.0387459 44.7494049 45.4121475 45.9546814 46.6193695 47.4011154 47.9860611 48.6542625 49.2004547 49.8097153 50.4800262 51.0117531 51.6841354 52.3483734 52.9760132 53.7442665 54.3414917 55.0064011 55.6838379 56.437664 57.2560043 57.9923172 58.7027054 59.3839722 60.0332832 60.6480713 61.3540688 61.956665 62.671524 63.3354568 64.0042572 64.5516205 65.0859375 65.7397003 66.2176895 66.7791748 67.4315186 68.1502533 68.7315521 69.4430771 70.1974182 70.9562073 71.651062 72.422554 73.1477051 74.0014801 74.6586609 75.3178558 76.0465546 76.7613754 77.5159988 78.5754089 79.3467865 80.3268738 81.2829132 82.2592316 83.3568268 84.4881363 85.9130554 87.2682495 88.6699371 90.5244293 92.4528961 94.4539261 96.3439026 99.5435181 102.482285 106.234161 111.465988 117.947792 130.136368 196.553864 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.7504044 35.1491699 36.0772934 37.1554108 37.968811 39.1260834 39.8588371 40.6401672 41.627739 42.2242699 42.8767395 43.7346802 44.5038452 45.1815872 45.8887177 46.677578 47.3251686 48.3897858 49.2218933 49.8921967 50.5438843 51.2955093 52.1546898 52.9843102 53.7225952 54.5933228 55.2669373 55.9273834 56.7621765 57.5212364 58.3120728 59.0072136 59.7684937 60.4115677 61.1228943 62.0052643 62.5769081 63.5130768 64.3339615 65.1939545 65.7044296 66.4611511 67.117691 67.8455048 68.5880814 69.3542175 70.0486145 70.7593689 71.4401855 72.1432953 72.7632141 73.5753174 74.2979279 75.1748505 76.081955 76.736969 77.6510925 78.6961823 79.500946 80.4868622 81.3772278 82.4287567 83.4972992 84.5274506 85.5751114 86.5022888 87.5432129 89.0069046 90.3617249 91.6251068 92.7953415 94.1893311 95.2903366 96.4289093 97.9319153 99.53302 101.465645 103.160141 104.931557 107.140198 108.773247 111.041687 113.319794 115.567093 118.148911 120.221825 123.235924 126.44664 129.518036 131.91156 137.321564 141.622421 146.716766 151.762207 157.934845 166.924194 179.220459 195.502304 222.817062 408.961365 ------------------------------ Transdef: Tab for variable 8 4.8277607 25.5300446 29.837326 31.6536083 32.867485 33.911293 34.679821 35.3709564 36.1492653 36.769371 37.3232613 37.9986343 38.7151108 39.3339081 39.8352127 40.4565201 41.0537415 41.5757904 42.0383224 42.6554642 43.1678467 43.6814194 44.1695557 44.7253342 45.3680267 45.9549179 46.4494247 47.0558548 47.7568893 48.2963409 48.9320374 49.4207153 49.9127922 50.5485306 50.9782562 51.5508499 52.1320572 52.8064384 53.3876038 53.938015 54.4792099 55.0205383 55.5957489 56.1328506 56.6589699 57.1310425 57.6679802 58.2655487 58.8831253 59.4545288 59.9737625 60.5201149 61.0087509 61.6400261 62.216507 62.7245636 63.3408661 64.025444 64.5912476 65.0882721 65.6950226 66.2681122 66.7611389 67.3617477 67.9806671 68.6904755 69.3887939 69.948349 70.4734497 71.0718384 71.7219696 72.2177353 72.8377991 73.5535431 74.2296143 74.9762573 75.5506516 76.3370056 77.0435944 77.8943939 78.8197861 79.5249481 80.4718933 81.5131989 82.4145737 83.3728256 84.3139114 85.805542 87.1628876 88.5627899 90.0402603 91.9289093 93.7454376 95.9658203 97.9884796 101.057297 104.593071 110.825195 117.892082 131.320786 289.322327 ------------------------------ Transdef: Tab for variable 9 55.9230614 61.6034546 63.6644211 64.9751434 66.5417938 67.9455414 69.4258041 70.676712 71.8104401 73.0145493 74.3275757 75.5887756 77.0803375 78.1939392 79.5798187 80.7605286 82.2434311 83.6195831 84.7753372 85.9089355 87.0999451 88.3200989 89.7779388 91.0314941 92.2309494 93.3255692 94.4756088 95.621727 96.6501541 97.9528351 99.0127869 100.162918 101.467422 102.691666 103.997505 105.16053 106.427513 107.707016 108.917053 110.304504 111.528046 112.963318 114.027847 114.92572 115.993286 117.211609 118.2733 119.638306 120.771149 121.864922 123.185043 124.116318 125.170227 126.284637 127.618874 128.632507 129.54071 130.389008 131.369019 132.300186 133.075195 134.151184 135.183228 136.18515 137.074524 137.987259 138.673828 139.636078 140.543793 141.494339 142.346375 143.441803 144.374969 145.312958 146.607162 147.885345 148.737411 149.841324 150.791962 151.863403 153.161179 154.551392 155.495117 157.041672 158.299652 159.601196 161.188721 163.370911 164.769409 166.709167 168.742935 170.604218 172.995041 175.445801 177.839783 180.667389 184.372467 189.309906 196.96962 208.38443 382.729065 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.09574795 1.38405085 1.57768631 1.68472815 1.77719069 1.8761127 1.97534323 2.04656506 2.11536264 2.1761775 2.23210335 2.27756071 2.31789827 2.3581965 2.39136028 2.42549801 2.45764613 2.49107122 2.52051759 2.5458703 2.56955147 2.5932889 2.60874295 2.63505793 2.65721846 2.6724329 2.69143867 2.70339561 2.72360849 2.73829603 2.75371122 2.76968431 2.7830708 2.79644847 2.80964756 2.8203454 2.83201504 2.84562182 2.85663629 2.86529064 2.87600231 2.88493276 2.89529657 2.90492201 2.91206884 2.92030263 2.9272666 2.93538761 2.94317102 2.94984388 2.95741653 2.96288013 2.96935987 2.97620106 2.98245382 2.98761702 2.99313307 2.99854064 3.00362372 3.0090394 3.01338983 3.01922178 3.02353239 3.02818418 3.03295565 3.03652191 3.04123545 3.04491401 3.04865742 3.05246878 3.05648136 3.06003761 3.06337428 3.06664276 3.07022691 3.07397985 3.07737064 3.08087492 3.08410549 3.08703017 3.08992004 3.09276462 3.09604692 3.09885979 3.10135508 3.10425401 3.10718131 3.10998154 3.11232114 3.11477041 3.11723232 3.12038469 3.12310076 3.12615538 3.12909627 3.13147235 3.13405967 3.13670325 3.13941741 3.14156818 ------------------------------ Transdef: Tab for variable 11 9.75131989E-05 0.00753414631 0.0172503516 0.0243476033 0.0318199396 0.0403156281 0.0483321846 0.0553020239 0.0619781017 0.0694264174 0.075656414 0.0814999938 0.0884409547 0.0936992168 0.0995124429 0.105742812 0.111842915 0.118133485 0.12575084 0.131045818 0.137880087 0.144060105 0.148133039 0.153732538 0.159866333 0.165764332 0.170657873 0.175156355 0.179352939 0.184602752 0.188920915 0.193831325 0.198923826 0.20268029 0.206922531 0.210851163 0.215265155 0.220074072 0.223751724 0.227301165 0.231885865 0.2362023 0.240059376 0.244216591 0.248759151 0.252158046 0.256605148 0.260229558 0.265175819 0.269619882 0.273730874 0.27808857 0.281996608 0.286171466 0.291678101 0.29559195 0.299511105 0.303641081 0.307985485 0.313504934 0.317412645 0.322345078 0.326729059 0.330756187 0.335049272 0.340108573 0.345811129 0.35083133 0.355239421 0.360885799 0.367047071 0.372131705 0.377246916 0.382641077 0.38899219 0.395219743 0.402567625 0.408961535 0.415141582 0.421818256 0.428718835 0.434806228 0.441307902 0.44927299 0.459554672 0.469782829 0.480294704 0.488260031 0.497879028 0.510470033 0.524001837 0.538720131 0.558080554 0.574152231 0.590801954 0.6177001 0.643716097 0.675864279 0.724701643 0.800269783 1.11973214 ------------------------------ Transdef: Tab for variable 12 0.200070545 0.205691606 0.211190492 0.216302276 0.222173572 0.2285299 0.234361649 0.240316018 0.245329455 0.250296235 0.255606651 0.26087144 0.264635533 0.269605517 0.273914874 0.277574658 0.283222646 0.287431777 0.291869313 0.296970546 0.300188541 0.303211898 0.306774974 0.310662717 0.314561069 0.318432152 0.321628392 0.325733274 0.329132885 0.332781643 0.335814923 0.339989305 0.344283968 0.347527176 0.351543367 0.355231971 0.358753473 0.36112833 0.365540624 0.369504422 0.372782379 0.376144826 0.379232854 0.38253206 0.386397958 0.389659941 0.393335283 0.396707475 0.400163949 0.404050708 0.407910615 0.411401957 0.414861679 0.418429732 0.422257125 0.426094055 0.42922008 0.433395028 0.436792642 0.440765381 0.444643497 0.448888898 0.453627765 0.458438307 0.462665886 0.467571855 0.472946972 0.477929175 0.483806729 0.490378499 0.494944185 0.500019789 0.505355358 0.510124803 0.515791059 0.52232641 0.527957678 0.532943428 0.539228261 0.545741081 0.553175092 0.559534669 0.568121791 0.576204836 0.58491236 0.593849421 0.602555037 0.612601399 0.622852862 0.630200088 0.641133547 0.649927139 0.664332628 0.677058876 0.694471896 0.712088227 0.737866163 0.768499076 0.808388948 0.865790009 1.14213037 ------------------------------ Transdef: Tab for variable 13 20.0083618 21.4625435 22.348732 23.0398941 23.6399841 24.1946545 24.7449989 25.0699329 25.5719261 26.0563278 26.5493946 27.0241089 27.4362602 27.8592644 28.2811966 28.5576324 28.9402962 29.4196663 29.7753143 30.1692657 30.5549622 30.9245262 31.2601738 31.5836754 31.987339 32.304451 32.6142273 32.9751053 33.326355 33.650341 33.9571419 34.2688713 34.5793381 34.9102097 35.3140488 35.6585083 35.9752464 36.3619461 36.696373 37.0772209 37.3760757 37.7826309 38.0425034 38.4476395 38.7752686 39.1735687 39.5015259 39.8465576 40.2033997 40.5218277 40.9335098 41.2588844 41.7123833 42.1092606 42.5470657 42.9186974 43.3998566 43.8061562 44.1566086 44.6872559 45.1836395 45.676796 46.1316833 46.5517006 47.1166763 47.6332321 48.1019135 48.7106781 49.3174438 49.9631004 50.5064354 51.0493813 51.5450134 52.063858 52.7499542 53.3933754 54.0720863 54.7756577 55.5326233 56.3198433 56.9090958 57.764183 58.6040611 59.4526215 60.2759705 61.5288391 62.4443741 63.4932861 64.8396759 65.9218292 67.0312576 68.5501328 69.8292542 71.4482498 73.5579834 75.8071518 78.3460083 81.9944 87.8983002 96.8512573 201.326797 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.7202702 11.2765331 11.684597 12.0625324 12.3493366 12.7025223 13.0060663 13.3890676 13.7391529 14.0561848 14.3761234 14.6803541 14.9787302 15.2716017 15.5050068 15.8141813 16.0499535 16.3369751 16.6719036 16.9944649 17.2376099 17.5428677 17.8870354 18.1441002 18.4099998 18.7089806 19.0016899 19.2818413 19.5581055 19.8310432 20.0920906 20.3268242 20.5875435 20.8192863 21.0198326 21.2808418 21.5076427 21.712925 21.9451313 22.1766644 22.4177361 22.6427956 22.8796616 23.0872765 23.3022308 23.4833736 23.6829567 23.8821793 24.1111298 24.2982635 24.5097466 24.7036839 24.9363861 25.1563416 25.3788986 25.5655823 25.7996864 26.0422707 26.2375259 26.4841671 26.7661877 27.0204239 27.2609081 27.4904709 27.6942406 27.9723759 28.2287025 28.4935226 28.7091541 29.0043087 29.2601757 29.5109825 29.7468204 30.0127029 30.3232536 30.6234493 30.9602966 31.327549 31.5552521 31.8263359 32.2371826 32.7064514 33.098877 33.4565697 33.8642311 34.2390518 34.7638206 35.4502869 36.0527802 36.6187897 37.2493782 37.9935303 38.8004303 39.4537315 40.7550888 42.0276222 43.8248062 46.4414444 50.5650291 87.1024323 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 54.2 39.4 36.2 31.3 46.1 48.8 44.0 53.2 -15.8 -16.4 -26.8 36.0 31.9 2 54.2 100.0 65.9 50.4 41.0 73.5 94.5 74.5 89.8 -38.0 -25.6 -43.3 61.4 44.5 3 39.4 65.9 100.0 37.3 20.8 43.5 65.5 56.7 75.8 -3.0 -26.5 -50.9 93.4 32.1 4 36.2 50.4 37.3 100.0 12.9 31.2 51.1 41.0 54.4 -3.4 -28.9 -51.3 35.4 90.6 5 31.3 41.0 20.8 12.9 100.0 86.1 11.4 64.6 64.5 29.4 -9.7 -11.3 18.6 11.0 6 46.1 73.5 43.5 31.2 86.1 100.0 50.7 81.6 84.9 2.0 -18.9 -27.0 40.0 27.2 7 48.8 94.5 65.5 51.1 11.4 50.7 100.0 61.3 75.8 -50.4 -25.1 -44.1 61.2 45.3 8 44.0 74.5 56.7 41.0 64.6 81.6 61.3 100.0 84.7 2.2 -25.0 -38.3 52.5 36.1 9 53.2 89.8 75.8 54.4 64.5 84.9 75.8 84.7 100.0 -7.0 -28.0 -48.3 70.7 48.0 10 -15.8 -38.0 -3.0 -3.4 29.4 2.0 -50.4 2.2 -7.0 100.0 1.2 1.8 -2.6 -2.8 11 -16.4 -25.6 -26.5 -28.9 -9.7 -18.9 -25.1 -25.0 -28.0 1.2 100.0 55.4 -24.2 -27.0 12 -26.8 -43.3 -50.9 -51.3 -11.3 -27.0 -44.1 -38.3 -48.3 1.8 55.4 100.0 -47.4 -44.2 13 36.0 61.4 93.4 35.4 18.6 40.0 61.2 52.5 70.7 -2.6 -24.2 -47.4 100.0 38.6 14 31.9 44.5 32.1 90.6 11.0 27.2 45.3 36.1 48.0 -2.8 -27.0 -44.2 38.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 140.013201 TOTAL CORRELATION OF ALL VARIABLES 57.458464 ROUND 1: MAX CORR ( 57.4573339) AFTER KILLING INPUT VARIABLE 11 CONTR 0.360371277 ROUND 2: MAX CORR ( 57.4543718) AFTER KILLING INPUT VARIABLE 14 CONTR 0.583417476 ROUND 3: MAX CORR ( 57.4427901) AFTER KILLING INPUT VARIABLE 12 CONTR 1.15356082 ROUND 4: MAX CORR ( 57.4270539) AFTER KILLING INPUT VARIABLE 8 CONTR 1.34447718 ROUND 5: MAX CORR ( 57.4051074) AFTER KILLING INPUT VARIABLE 7 CONTR 1.58750195 ROUND 6: MAX CORR ( 57.3772621) AFTER KILLING INPUT VARIABLE 13 CONTR 1.78777812 ROUND 7: MAX CORR ( 57.3342797) AFTER KILLING INPUT VARIABLE 6 CONTR 2.22049031 ROUND 8: MAX CORR ( 57.0314685) AFTER KILLING INPUT VARIABLE 10 CONTR 5.88483093 ROUND 9: MAX CORR ( 56.4771756) AFTER KILLING INPUT VARIABLE 9 CONTR 7.93202547 ROUND 10: MAX CORR ( 56.2372803) AFTER KILLING INPUT VARIABLE 3 CONTR 5.19996841 ROUND 11: MAX CORR ( 55.1518766) AFTER KILLING INPUT VARIABLE 5 CONTR 10.9955537 ROUND 12: MAX CORR ( 54.181814) AFTER KILLING INPUT VARIABLE 4 CONTR 10.2985692 LAST REMAINING VARIABLE: 2 total correlation to target: 57.458464 % total significance: 42.4672037 sigma correlations of single variables to target: variable 2: 54.181814 % , in sigma: 40.0454514 variable 3: 39.375791 % , in sigma: 29.1024093 variable 4: 36.1936038 % , in sigma: 26.7504739 variable 5: 31.2697785 % , in sigma: 23.1113044 variable 6: 46.1212537 % , in sigma: 34.08794 variable 7: 48.8400886 % , in sigma: 36.0974145 variable 8: 43.963982 % , in sigma: 32.4935136 variable 9: 53.2342038 % , in sigma: 39.3450785 variable 10: -15.8143873 % , in sigma: 11.6883182 variable 11: -16.3887817 % , in sigma: 12.1128496 variable 12: -26.8312227 % , in sigma: 19.8307946 variable 13: 35.9593317 % , in sigma: 26.5773249 variable 14: 31.9200097 % , in sigma: 23.5918864 variables sorted by significance: 1 most relevant variable 2 corr 54.1818123 , in sigma: 40.0454502 2 most relevant variable 4 corr 10.2985697 , in sigma: 7.61161065 3 most relevant variable 5 corr 10.995554 , in sigma: 8.12674753 4 most relevant variable 3 corr 5.19996834 , in sigma: 3.84326519 5 most relevant variable 9 corr 7.93202543 , in sigma: 5.86251209 6 most relevant variable 10 corr 5.88483095 , in sigma: 4.34944301 7 most relevant variable 6 corr 2.22049022 , in sigma: 1.64115091 8 most relevant variable 13 corr 1.78777814 , in sigma: 1.32133602 9 most relevant variable 7 corr 1.587502 , in sigma: 1.17331314 10 most relevant variable 8 corr 1.34447718 , in sigma: 0.993694961 11 most relevant variable 12 corr 1.15356088 , in sigma: 0.852589876 12 most relevant variable 14 corr 0.583417475 , in sigma: 0.431200332 13 most relevant variable 11 corr 0.360371292 , in sigma: 0.266348245 global correlations between input variables: variable 2: 99.5374496 % variable 3: 96.9718011 % variable 4: 94.4691332 % variable 5: 96.6938645 % variable 6: 96.2042205 % variable 7: 99.297068 % variable 8: 89.1751683 % variable 9: 98.9824698 % variable 10: 75.3907199 % variable 11: 56.2870929 % variable 12: 72.2631635 % variable 13: 95.3881867 % variable 14: 93.4655758 % significance loss when removing single variables: variable 2: corr = 2.74637812 % , sigma = 2.02983148 variable 3: corr = 7.66381604 % , sigma = 5.66428014 variable 4: corr = 6.70064642 % , sigma = 4.9524073 variable 5: corr = 8.71401653 % , sigma = 6.44047698 variable 6: corr = 2.53882828 % , sigma = 1.87643264 variable 7: corr = 1.98733096 % , sigma = 1.46882431 variable 8: corr = 1.3044949 % , sigma = 0.964144299 variable 9: corr = 6.24660617 % , sigma = 4.61682889 variable 10: corr = 5.41613419 % , sigma = 4.00303207 variable 11: corr = 0.360371277 % , sigma = 0.266348234 variable 12: corr = 1.15759067 % , sigma = 0.85556827 variable 13: corr = 1.82519957 % , sigma = 1.34899398 variable 14: corr = 0.552581553 % , sigma = 0.408409688 Keep only 6 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 7 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 8.22838593 sigma out 15 active outputs RANK 2 NODE 1 --> 7.94062185 sigma out 15 active outputs RANK 3 NODE 2 --> 6.24566603 sigma out 15 active outputs RANK 4 NODE 7 --> 6.04610395 sigma out 15 active outputs RANK 5 NODE 6 --> 6.03608704 sigma out 15 active outputs RANK 6 NODE 5 --> 5.99646616 sigma out 15 active outputs RANK 7 NODE 3 --> 4.25356913 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 11.2132692 sigma in 7act. ( 11.8759136 sig out 1act.) RANK 2 NODE 4 --> 7.76395559 sigma in 7act. ( 7.88348007 sig out 1act.) RANK 3 NODE 1 --> 5.12958479 sigma in 7act. ( 5.53601122 sig out 1act.) RANK 4 NODE 9 --> 4.84191561 sigma in 7act. ( 5.53631544 sig out 1act.) RANK 5 NODE 6 --> 3.57075357 sigma in 7act. ( 3.732723 sig out 1act.) RANK 6 NODE 13 --> 3.02444315 sigma in 7act. ( 3.22121954 sig out 1act.) RANK 7 NODE 2 --> 3.02208066 sigma in 7act. ( 2.42391348 sig out 1act.) RANK 8 NODE 3 --> 2.68034554 sigma in 7act. ( 2.8727057 sig out 1act.) RANK 9 NODE 5 --> 2.58176565 sigma in 7act. ( 2.6025455 sig out 1act.) RANK 10 NODE 14 --> 2.5151906 sigma in 7act. ( 2.44392014 sig out 1act.) RANK 11 NODE 10 --> 1.70556808 sigma in 7act. ( 1.58435154 sig out 1act.) RANK 12 NODE 11 --> 1.51907349 sigma in 7act. ( 1.51453042 sig out 1act.) RANK 13 NODE 15 --> 1.32871711 sigma in 7act. ( 1.21250093 sig out 1act.) RANK 14 NODE 12 --> 1.2466433 sigma in 7act. ( 0.934602022 sig out 1act.) RANK 15 NODE 7 --> 1.13689363 sigma in 7act. ( 1.04417682 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 11.8759136 sigma out 1act.( 11.2132692 sig in 7act.) RANK 2 NODE 4 --> 7.88348007 sigma out 1act.( 7.76395559 sig in 7act.) RANK 3 NODE 9 --> 5.53631544 sigma out 1act.( 4.84191561 sig in 7act.) RANK 4 NODE 1 --> 5.53601122 sigma out 1act.( 5.12958479 sig in 7act.) RANK 5 NODE 6 --> 3.732723 sigma out 1act.( 3.57075357 sig in 7act.) RANK 6 NODE 13 --> 3.22121954 sigma out 1act.( 3.02444315 sig in 7act.) RANK 7 NODE 3 --> 2.8727057 sigma out 1act.( 2.68034554 sig in 7act.) RANK 8 NODE 5 --> 2.6025455 sigma out 1act.( 2.58176565 sig in 7act.) RANK 9 NODE 14 --> 2.44392014 sigma out 1act.( 2.5151906 sig in 7act.) RANK 10 NODE 2 --> 2.42391348 sigma out 1act.( 3.02208066 sig in 7act.) RANK 11 NODE 10 --> 1.58435154 sigma out 1act.( 1.70556808 sig in 7act.) RANK 12 NODE 11 --> 1.51453042 sigma out 1act.( 1.51907349 sig in 7act.) RANK 13 NODE 15 --> 1.21250093 sigma out 1act.( 1.32871711 sig in 7act.) RANK 14 NODE 7 --> 1.04417682 sigma out 1act.( 1.13689363 sig in 7act.) RANK 15 NODE 12 --> 0.934602022 sigma out 1act.( 1.2466433 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.9973869 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 14.6642256 sigma out 15 active outputs RANK 2 NODE 4 --> 9.84766102 sigma out 15 active outputs RANK 3 NODE 1 --> 8.77375889 sigma out 15 active outputs RANK 4 NODE 5 --> 7.76201439 sigma out 15 active outputs RANK 5 NODE 2 --> 7.31559038 sigma out 15 active outputs RANK 6 NODE 7 --> 7.14356136 sigma out 15 active outputs RANK 7 NODE 3 --> 5.41134977 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 10.7047138 sigma in 7act. ( 11.0634604 sig out 1act.) RANK 2 NODE 9 --> 7.80079842 sigma in 7act. ( 7.00448418 sig out 1act.) RANK 3 NODE 7 --> 7.79567099 sigma in 7act. ( 2.62729049 sig out 1act.) RANK 4 NODE 4 --> 7.6928091 sigma in 7act. ( 6.94526386 sig out 1act.) RANK 5 NODE 11 --> 7.16664362 sigma in 7act. ( 3.28277659 sig out 1act.) RANK 6 NODE 12 --> 5.77590799 sigma in 7act. ( 1.57967687 sig out 1act.) RANK 7 NODE 13 --> 5.68664789 sigma in 7act. ( 4.08353376 sig out 1act.) RANK 8 NODE 15 --> 5.677145 sigma in 7act. ( 1.95730329 sig out 1act.) RANK 9 NODE 3 --> 5.17888212 sigma in 7act. ( 3.13487434 sig out 1act.) RANK 10 NODE 6 --> 4.954247 sigma in 7act. ( 3.21735907 sig out 1act.) RANK 11 NODE 5 --> 4.72541952 sigma in 7act. ( 2.7323966 sig out 1act.) RANK 12 NODE 1 --> 4.71052456 sigma in 7act. ( 4.67461967 sig out 1act.) RANK 13 NODE 2 --> 4.33273697 sigma in 7act. ( 1.26160026 sig out 1act.) RANK 14 NODE 10 --> 4.29522514 sigma in 7act. ( 1.54381156 sig out 1act.) RANK 15 NODE 14 --> 2.29872441 sigma in 7act. ( 1.14650679 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 11.0634604 sigma out 1act.( 10.7047138 sig in 7act.) RANK 2 NODE 9 --> 7.00448418 sigma out 1act.( 7.80079842 sig in 7act.) RANK 3 NODE 4 --> 6.94526386 sigma out 1act.( 7.6928091 sig in 7act.) RANK 4 NODE 1 --> 4.67461967 sigma out 1act.( 4.71052456 sig in 7act.) RANK 5 NODE 13 --> 4.08353376 sigma out 1act.( 5.68664789 sig in 7act.) RANK 6 NODE 11 --> 3.28277659 sigma out 1act.( 7.16664362 sig in 7act.) RANK 7 NODE 6 --> 3.21735907 sigma out 1act.( 4.954247 sig in 7act.) RANK 8 NODE 3 --> 3.13487434 sigma out 1act.( 5.17888212 sig in 7act.) RANK 9 NODE 5 --> 2.7323966 sigma out 1act.( 4.72541952 sig in 7act.) RANK 10 NODE 7 --> 2.62729049 sigma out 1act.( 7.79567099 sig in 7act.) RANK 11 NODE 15 --> 1.95730329 sigma out 1act.( 5.677145 sig in 7act.) RANK 12 NODE 12 --> 1.57967687 sigma out 1act.( 5.77590799 sig in 7act.) RANK 13 NODE 10 --> 1.54381156 sigma out 1act.( 4.29522514 sig in 7act.) RANK 14 NODE 2 --> 1.26160026 sigma out 1act.( 4.33273697 sig in 7act.) RANK 15 NODE 14 --> 1.14650679 sigma out 1act.( 2.29872441 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.752943 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.473012298 *** contribution from regularisation: 0.0113505479 *** contribution from error: -0.484362841 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.520850658 *** contribution from regularisation: 0.00459974399 *** contribution from error: -0.525450408 *********************************************** -----------------> Test sample ENTER BFGS code START -9696.97553 -0.530470312 -0.000327467453 EXIT FROM BFGS code FG_START 0. -0.530470312 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.533344507 *** contribution from regularisation: 0.00356268091 *** contribution from error: -0.536907196 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -9927.67412 -0.530470312 8.46784592 EXIT FROM BFGS code FG_LNSRCH 0. -0.511686623 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.543423712 *** contribution from regularisation: 0.0060375859 *** contribution from error: -0.549461305 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10115.2885 -0.511686623 6.18286324 EXIT FROM BFGS code NEW_X -10115.2885 -0.511686623 6.18286324 ENTER BFGS code NEW_X -10115.2885 -0.511686623 6.18286324 EXIT FROM BFGS code FG_LNSRCH 0. -0.507186711 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.547388732 *** contribution from regularisation: 0.00555722369 *** contribution from error: -0.552945971 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10189.0934 -0.507186711 6.30546474 EXIT FROM BFGS code NEW_X -10189.0934 -0.507186711 6.30546474 ENTER BFGS code NEW_X -10189.0934 -0.507186711 6.30546474 EXIT FROM BFGS code FG_LNSRCH 0. -0.495537937 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.547983944 *** contribution from regularisation: 0.005379532 *** contribution from error: -0.553363502 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10200.1728 -0.495537937 6.46554518 EXIT FROM BFGS code NEW_X -10200.1728 -0.495537937 6.46554518 ENTER BFGS code NEW_X -10200.1728 -0.495537937 6.46554518 EXIT FROM BFGS code FG_LNSRCH 0. -0.456987232 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.548220575 *** contribution from regularisation: 0.005288627 *** contribution from error: -0.553509176 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10204.5775 -0.456987232 7.54096317 EXIT FROM BFGS code NEW_X -10204.5775 -0.456987232 7.54096317 ENTER BFGS code NEW_X -10204.5775 -0.456987232 7.54096317 EXIT FROM BFGS code FG_LNSRCH 0. -0.423394293 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.548378825 *** contribution from regularisation: 0.00527039496 *** contribution from error: -0.553649247 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10207.523 -0.423394293 7.55320024 EXIT FROM BFGS code NEW_X -10207.523 -0.423394293 7.55320024 ENTER BFGS code NEW_X -10207.523 -0.423394293 7.55320024 EXIT FROM BFGS code FG_LNSRCH 0. -0.0530775413 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.548651874 *** contribution from regularisation: 0.0032447686 *** contribution from error: -0.551896632 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10212.6061 -0.0530775413 -2.1107831 EXIT FROM BFGS code NEW_X -10212.6061 -0.0530775413 -2.1107831 ENTER BFGS code NEW_X -10212.6061 -0.0530775413 -2.1107831 EXIT FROM BFGS code FG_LNSRCH 0. 0.502237678 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 11.45189 sigma out 15 active outputs RANK 2 NODE 1 --> 10.4049826 sigma out 15 active outputs RANK 3 NODE 5 --> 8.9698391 sigma out 15 active outputs RANK 4 NODE 4 --> 8.41138077 sigma out 15 active outputs RANK 5 NODE 2 --> 8.17054749 sigma out 15 active outputs RANK 6 NODE 7 --> 7.57058811 sigma out 15 active outputs RANK 7 NODE 3 --> 7.46386099 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 8.81844807 sigma in 7act. ( 5.21655035 sig out 1act.) RANK 2 NODE 5 --> 8.16554165 sigma in 7act. ( 6.41579676 sig out 1act.) RANK 3 NODE 11 --> 7.73467493 sigma in 7act. ( 8.29461765 sig out 1act.) RANK 4 NODE 7 --> 7.19747782 sigma in 7act. ( 7.88977432 sig out 1act.) RANK 5 NODE 3 --> 6.69438839 sigma in 7act. ( 4.28635836 sig out 1act.) RANK 6 NODE 9 --> 6.44855881 sigma in 7act. ( 6.24793625 sig out 1act.) RANK 7 NODE 4 --> 6.2829833 sigma in 7act. ( 0.347746968 sig out 1act.) RANK 8 NODE 2 --> 5.93631601 sigma in 7act. ( 3.00414205 sig out 1act.) RANK 9 NODE 12 --> 5.45774508 sigma in 7act. ( 5.5282793 sig out 1act.) RANK 10 NODE 13 --> 5.32828379 sigma in 7act. ( 4.47310448 sig out 1act.) RANK 11 NODE 10 --> 5.14272356 sigma in 7act. ( 3.87166739 sig out 1act.) RANK 12 NODE 15 --> 4.7704916 sigma in 7act. ( 4.89282322 sig out 1act.) RANK 13 NODE 1 --> 4.53710842 sigma in 7act. ( 0.774012983 sig out 1act.) RANK 14 NODE 6 --> 4.18214607 sigma in 7act. ( 1.30169392 sig out 1act.) RANK 15 NODE 14 --> 2.78509378 sigma in 7act. ( 1.21677089 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 8.29461765 sigma out 1act.( 7.73467493 sig in 7act.) RANK 2 NODE 7 --> 7.88977432 sigma out 1act.( 7.19747782 sig in 7act.) RANK 3 NODE 5 --> 6.41579676 sigma out 1act.( 8.16554165 sig in 7act.) RANK 4 NODE 9 --> 6.24793625 sigma out 1act.( 6.44855881 sig in 7act.) RANK 5 NODE 12 --> 5.5282793 sigma out 1act.( 5.45774508 sig in 7act.) RANK 6 NODE 8 --> 5.21655035 sigma out 1act.( 8.81844807 sig in 7act.) RANK 7 NODE 15 --> 4.89282322 sigma out 1act.( 4.7704916 sig in 7act.) RANK 8 NODE 13 --> 4.47310448 sigma out 1act.( 5.32828379 sig in 7act.) RANK 9 NODE 3 --> 4.28635836 sigma out 1act.( 6.69438839 sig in 7act.) RANK 10 NODE 10 --> 3.87166739 sigma out 1act.( 5.14272356 sig in 7act.) RANK 11 NODE 2 --> 3.00414205 sigma out 1act.( 5.93631601 sig in 7act.) RANK 12 NODE 6 --> 1.30169392 sigma out 1act.( 4.18214607 sig in 7act.) RANK 13 NODE 14 --> 1.21677089 sigma out 1act.( 2.78509378 sig in 7act.) RANK 14 NODE 1 --> 0.774012983 sigma out 1act.( 4.53710842 sig in 7act.) RANK 15 NODE 4 --> 0.347746968 sigma out 1act.( 6.2829833 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 18.9539852 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.504340351 *** contribution from regularisation: 0.00964753423 *** contribution from error: -0.513987899 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -9387.79142 0.502237678 -53.0880737 EXIT FROM BFGS code FG_LNSRCH 0. -0.0245315228 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.548269868 *** contribution from regularisation: 0.00346104568 *** contribution from error: -0.551730931 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10205.4952 -0.0245315228 -4.33813095 EXIT FROM BFGS code FG_LNSRCH 0. -0.0504397713 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.546686113 *** contribution from regularisation: 0.00519753387 *** contribution from error: -0.551883638 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10176.0154 -0.0504397713 -2.96643257 EXIT FROM BFGS code FG_LNSRCH 0. -0.0530708358 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.547939122 *** contribution from regularisation: 0.00395750906 *** contribution from error: -0.551896632 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10199.3392 -0.0530708358 -2.74663615 EXIT FROM BFGS code FG_LNSRCH 0. -0.0530775413 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.547256112 *** contribution from regularisation: 0.00464055222 *** contribution from error: -0.551896691 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10186.625 -0.0530775413 -2.90141511 EXIT FROM BFGS code FG_LNSRCH 0. -0.0530775413 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.547683835 *** contribution from regularisation: 0.00421282882 *** contribution from error: -0.551896691 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10194.5866 -0.0530775413 -2.81723571 EXIT FROM BFGS code FG_LNSRCH 0. -0.0530775413 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.547339022 *** contribution from regularisation: 0.00455760909 *** contribution from error: -0.551896632 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10188.1689 -0.0530775413 -2.86651492 EXIT FROM BFGS code FG_LNSRCH 0. -0.0530775413 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.547486246 *** contribution from regularisation: 0.00441039773 *** contribution from error: -0.551896632 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10190.9091 -0.0530775413 -2.87730885 EXIT FROM BFGS code NEW_X -10190.9091 -0.0530775413 -2.87730885 ENTER BFGS code NEW_X -10190.9091 -0.0530775413 -2.87730885 EXIT FROM BFGS code CONVERGENC -10190.9091 -0.0530775413 -2.87730885 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 17.3716469 sigma out 15 active outputs RANK 2 NODE 1 --> 9.91481113 sigma out 15 active outputs RANK 3 NODE 4 --> 5.69687605 sigma out 15 active outputs RANK 4 NODE 3 --> 5.00713348 sigma out 15 active outputs RANK 5 NODE 7 --> 4.57678556 sigma out 15 active outputs RANK 6 NODE 5 --> 3.61174536 sigma out 15 active outputs RANK 7 NODE 2 --> 1.82074785 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 10.7178431 sigma in 7act. ( 8.77232647 sig out 1act.) RANK 2 NODE 9 --> 10.2005434 sigma in 7act. ( 7.90534639 sig out 1act.) RANK 3 NODE 7 --> 9.64745426 sigma in 7act. ( 8.56038857 sig out 1act.) RANK 4 NODE 13 --> 6.06572008 sigma in 7act. ( 4.66990614 sig out 1act.) RANK 5 NODE 12 --> 5.94945288 sigma in 7act. ( 4.84080839 sig out 1act.) RANK 6 NODE 15 --> 5.17276812 sigma in 7act. ( 4.59126806 sig out 1act.) RANK 7 NODE 5 --> 5.12149334 sigma in 7act. ( 3.79739523 sig out 1act.) RANK 8 NODE 3 --> 4.10539627 sigma in 7act. ( 2.83356643 sig out 1act.) RANK 9 NODE 10 --> 3.92252302 sigma in 7act. ( 2.9893415 sig out 1act.) RANK 10 NODE 4 --> 3.03152704 sigma in 7act. ( 1.47090948 sig out 1act.) RANK 11 NODE 1 --> 2.49678445 sigma in 7act. ( 1.26429343 sig out 1act.) RANK 12 NODE 8 --> 2.09075284 sigma in 7act. ( 0.287193537 sig out 1act.) RANK 13 NODE 6 --> 2.08897042 sigma in 7act. ( 1.07381415 sig out 1act.) RANK 14 NODE 2 --> 0.983062923 sigma in 7act. ( 0.759989738 sig out 1act.) RANK 15 NODE 14 --> 0.609378636 sigma in 7act. ( 0.430302322 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 8.77232647 sigma out 1act.( 10.7178431 sig in 7act.) RANK 2 NODE 7 --> 8.56038857 sigma out 1act.( 9.64745426 sig in 7act.) RANK 3 NODE 9 --> 7.90534639 sigma out 1act.( 10.2005434 sig in 7act.) RANK 4 NODE 12 --> 4.84080839 sigma out 1act.( 5.94945288 sig in 7act.) RANK 5 NODE 13 --> 4.66990614 sigma out 1act.( 6.06572008 sig in 7act.) RANK 6 NODE 15 --> 4.59126806 sigma out 1act.( 5.17276812 sig in 7act.) RANK 7 NODE 5 --> 3.79739523 sigma out 1act.( 5.12149334 sig in 7act.) RANK 8 NODE 10 --> 2.9893415 sigma out 1act.( 3.92252302 sig in 7act.) RANK 9 NODE 3 --> 2.83356643 sigma out 1act.( 4.10539627 sig in 7act.) RANK 10 NODE 4 --> 1.47090948 sigma out 1act.( 3.03152704 sig in 7act.) RANK 11 NODE 1 --> 1.26429343 sigma out 1act.( 2.49678445 sig in 7act.) RANK 12 NODE 6 --> 1.07381415 sigma out 1act.( 2.08897042 sig in 7act.) RANK 13 NODE 2 --> 0.759989738 sigma out 1act.( 0.983062923 sig in 7act.) RANK 14 NODE 14 --> 0.430302322 sigma out 1act.( 0.609378636 sig in 7act.) RANK 15 NODE 8 --> 0.287193537 sigma out 1act.( 2.09075284 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.7818832 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.547521412 *** contribution from regularisation: 0.0043752538 *** contribution from error: -0.551896691 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done