NNInput NNInputs_130.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= 45939 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 = 9736 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 9736 Chosen entries: 9736 Signal fraction: 1 Background fraction: 0.268928 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 9736 Entries to split: 9736 Test with : 4868 Train with : 4868 ********************************************* * 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= 9736 for Signal Prepared event 0 for Signal with 9736 events ====Entry 0 Variable Ht : 151.435 Variable LepAPt : 41.3573 Variable LepBPt : 14.9662 Variable MetSigLeptonsJets : 5.83672 Variable MetSpec : 56.7846 Variable SumEtLeptonsJets : 94.6508 Variable VSumJetLeptonsPt : 42.3463 Variable addEt : 113.108 Variable dPhiLepSumMet : 2.38762 Variable dPhiLeptons : 0.421366 Variable dRLeptons : 0.581604 Variable lep1_E : 44.5356 Variable lep2_E : 14.9672 ===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 = 2130 Ht = 151.435 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 41.3573 LepAPt = 41.3573 LepBEt = 14.9662 LepBPt = 14.9662 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 56.7846 MetDelPhi = 1.62286 MetSig = 5.01275 MetSigLeptonsJets = 5.83672 MetSpec = 56.7846 Mjj = 0 MostCentralJetEta = 2.41678 MtllMet = 115.132 Njets = 1 SB = 0 SumEt = 128.324 SumEtJets = 0 SumEtLeptonsJets = 94.6508 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 42.3463 addEt = 113.108 dPhiLepSumMet = 2.38762 dPhiLeptons = 0.421366 dRLeptons = 0.581604 diltype = 55 dimass = 14.4601 event = 2096 jet1_Et = 38.3273 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.5356 lep2_E = 14.9672 rand = 0.999742 run = 195245 weight = 2.27324e-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= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===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 = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.321389 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 889 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 45939 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 889 negative weights. Signal fraction: 62.3531761 % ------------------------------ 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 55.3054924 62.5414734 64.3766479 65.582428 66.9580536 68.0039139 68.824585 69.920517 70.6570435 71.3858948 72.0721436 72.9012146 73.4033813 73.9317703 74.5562134 74.9783401 75.5468674 76.026474 76.5360031 77.1477966 77.6931229 78.3104553 78.688446 79.1415863 79.584877 79.9876022 80.5454712 81.0325012 81.7036133 82.2662888 82.7555237 83.5196915 84.1238251 85.142067 85.9689789 86.8310547 87.7519989 88.8106232 90.2691803 91.1355667 92.3305435 93.546051 94.7043839 95.8416595 97.3373718 98.5346832 99.6115112 100.641541 101.772446 102.931885 104.166092 105.334045 106.319008 107.64238 108.724678 110.059311 111.158691 112.662613 114.16626 115.139236 116.137321 117.35141 118.399178 119.484146 120.521118 121.613495 122.741547 123.98848 125.244461 126.584412 127.948547 129.463287 130.87059 132.421143 134.293854 136.380066 138.305862 140.480408 142.529846 145.196167 147.370468 150.110168 152.404282 154.627457 156.853271 159.907227 162.743988 166.293442 169.732758 173.191742 176.797394 181.433884 187.463409 192.539978 200.719788 209.339539 219.585159 233.949142 249.596741 292.085144 640.344055 ------------------------------ Transdef: Tab for variable 3 20.0012817 20.3112411 20.550312 20.7554321 20.9719315 21.2337475 21.4422684 21.5911064 21.8175297 21.9690056 22.1726646 22.3329716 22.5053787 22.7517853 22.956913 23.1237183 23.2934895 23.473175 23.6298065 23.7644348 23.9108162 24.1131172 24.3083878 24.4556541 24.5966873 24.7466202 24.8997135 25.0802383 25.2824745 25.4192543 25.5781689 25.7084789 25.8828468 26.0672684 26.2073174 26.3847656 26.560318 26.742981 26.9459438 27.145256 27.3128777 27.5290909 27.731823 27.9399815 28.1354828 28.3016663 28.476078 28.6622658 28.883194 29.0977364 29.2793789 29.4972305 29.7238464 29.9937172 30.1721687 30.4393349 30.6728668 30.9329758 31.2090492 31.4263134 31.6781044 31.9482269 32.2386169 32.5275879 32.8075638 33.084137 33.3627472 33.6708679 34.0466843 34.3533936 34.7069283 35.0782471 35.4276352 35.8063927 36.2012787 36.5842514 36.9863548 37.4159164 37.9239807 38.3123245 38.6978302 39.191143 39.6414566 40.1382561 40.7150497 41.3194962 41.9650497 42.6242447 43.3358269 44.2745361 45.0886459 46.2511902 47.0576553 48.1048965 49.4635429 51.4886246 54.1327629 57.1248741 61.4909897 69.0674896 151.031479 ------------------------------ Transdef: Tab for variable 4 10.0011425 10.098774 10.1843433 10.2869186 10.372057 10.4523964 10.5228977 10.6605597 10.7523746 10.8403463 10.9286289 11.0330734 11.1224995 11.2242165 11.3227596 11.392539 11.4894333 11.5827694 11.6976204 11.7916489 11.915926 12.0341024 12.1505461 12.2977123 12.4382296 12.5507393 12.6781826 12.7827034 12.9124451 13.0304508 13.1415586 13.2635117 13.4095697 13.517416 13.6192017 13.7657375 13.8806076 14.0181465 14.1751833 14.274107 14.3731346 14.5185499 14.6435289 14.7806492 14.9194031 15.095562 15.256628 15.387928 15.5263557 15.6605577 15.7953453 15.9458323 16.110054 16.2926865 16.4442616 16.6036758 16.7808609 16.9535542 17.1641312 17.3635101 17.5931587 17.7600384 17.9337864 18.1072273 18.3031101 18.4836311 18.7297707 18.9202881 19.1715431 19.3389969 19.5930233 19.8366547 20.0017319 20.2445259 20.4996815 20.7831001 21.093914 21.3598728 21.6425495 21.9353065 22.2460938 22.5713444 22.9661865 23.3165703 23.6369362 24.0597954 24.3998108 24.8360405 25.2765236 25.8362236 26.3373451 26.9227371 27.4735222 28.1801147 28.847477 29.8778114 30.9378853 32.044445 34.3008804 38.35009 66.8122787 ------------------------------ Transdef: Tab for variable 5 1.86576259 2.83349514 3.14352584 3.3803556 3.60700989 3.74845982 3.903409 4.05671072 4.14076424 4.23352957 4.35407543 4.44793797 4.51941776 4.60535812 4.69109726 4.76937008 4.83725691 4.90267324 4.96664524 5.01973343 5.07775402 5.12940216 5.19170666 5.24266386 5.30195379 5.36684465 5.40597248 5.45392418 5.49065256 5.53245735 5.58391571 5.63889408 5.68092155 5.72308922 5.77081823 5.80423927 5.83867741 5.8741703 5.91371822 5.94958305 5.9853096 6.02165985 6.05561733 6.08584976 6.12519884 6.16581345 6.19698715 6.23591661 6.27211857 6.31564713 6.34840775 6.37861538 6.42395163 6.45500946 6.5044136 6.53251457 6.57570934 6.60863352 6.64607334 6.68434334 6.72066784 6.75253868 6.7969327 6.83884907 6.87394142 6.91541958 6.95798874 6.99909687 7.04014826 7.09495783 7.14489269 7.18887615 7.23954821 7.29277468 7.34647751 7.39756012 7.44420242 7.50099468 7.56384039 7.62445307 7.68956804 7.74211645 7.80342817 7.86164284 7.92996693 7.99409533 8.06524467 8.12357903 8.20562363 8.3044796 8.40591049 8.51606369 8.6330204 8.75191689 8.87281227 9.03953743 9.22293854 9.48242188 9.80436611 10.3781929 15.9779654 ------------------------------ Transdef: Tab for variable 6 25.000145 25.7345772 26.3382473 26.9700203 27.5843353 28.2188148 28.8935184 29.5641251 30.0774307 30.714901 31.2540264 31.6908112 32.0976067 32.5165672 32.8864555 33.278801 33.6897659 34.0870438 34.5074844 34.7978821 35.1748276 35.5299759 35.8979874 36.2535973 36.476757 36.817543 37.0977821 37.3597336 37.6177063 37.9537697 38.2932892 38.6985626 38.941185 39.2480621 39.4796829 39.8695297 40.2089233 40.5116653 40.7805481 41.0807571 41.3810806 41.7568817 42.035965 42.2650757 42.6455536 42.9801788 43.2869873 43.6101913 44.0007782 44.4843216 44.8474236 45.2400818 45.7061539 46.1975784 46.6058922 46.997345 47.5405922 48.0230713 48.4944382 49.1540451 49.7162971 50.3383789 50.7724838 51.3316803 51.8829727 52.504158 52.9547577 53.7425003 54.3028679 54.9197769 55.4909363 56.0612679 56.6909103 57.1640549 57.7380371 58.3822517 59.0431023 59.6555328 60.1621399 60.7301064 61.4587708 62.063118 62.6431351 63.5517998 64.3871765 65.0529099 65.8028107 66.7927246 67.9676971 68.9979019 70.3901443 72.0682373 73.7426834 75.6509705 77.9174957 80.630127 83.4981155 87.9010773 93.4693146 102.861496 197.480118 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.3920212 33.291893 34.0092392 34.5989265 35.0830002 35.4175339 35.7543488 36.1094818 36.3846092 36.6822968 36.9684982 37.2994232 37.5738068 37.8256721 38.1138458 38.2829323 38.5365906 38.7643204 38.9535294 39.2267532 39.4327621 39.6958809 40.0374146 40.2756157 40.5421982 40.8236656 41.1847992 41.4341736 41.7575684 41.9845695 42.3521347 42.7148438 43.2248688 43.6349335 44.1245575 44.6396675 45.1232681 45.6932755 46.243721 46.9329147 47.6248322 48.3133354 48.982811 49.6919289 50.2963257 50.9698181 51.8013611 52.5961494 53.3122025 54.0046883 54.5601845 55.3647728 56.0811157 56.6894989 57.2837372 57.9162636 58.7258301 59.4007568 60.1221619 60.8801918 61.7544518 62.558876 63.5330276 64.443985 65.3637772 66.4968719 67.5718231 68.989357 70.3882294 71.9862518 73.2817078 74.7313843 76.2947693 77.6642914 79.2687149 80.8564072 82.5214081 84.0851364 85.6579514 87.3483887 89.3882599 91.4168854 93.542778 96.0426178 98.1586609 100.780327 103.208267 106.496246 109.94017 114.173401 118.480942 122.132019 127.234398 133.202988 139.96817 148.393219 160.848816 176.923264 206.578873 437.141418 ------------------------------ Transdef: Tab for variable 8 0.678276479 23.6176147 28.3150597 30.3813877 31.4940605 32.0697327 32.6162338 33.1855698 33.6253815 33.9161224 34.3085098 34.5986595 34.8612137 35.135437 35.3929825 35.6894989 35.9622192 36.2437401 36.4811096 36.6378937 36.9321442 37.1883087 37.3834229 37.5775146 37.7591324 37.9251175 38.103508 38.3009377 38.4949875 38.6650238 38.9051208 39.1526642 39.50354 39.808403 40.0227509 40.213707 40.5234985 40.8394241 41.1312752 41.3822403 41.6467857 41.8775215 42.1957664 42.5594826 42.9558907 43.3115234 43.631012 44.0714569 44.4542656 44.9315262 45.4324265 45.8281784 46.3371429 46.7353821 47.2362518 47.7707291 48.2657852 48.7656937 49.2066498 49.7274437 50.2953033 50.7354965 51.2747536 51.8310165 52.3419304 52.7935715 53.2991409 53.8040543 54.3700523 54.8651657 55.4214249 55.8778839 56.3400383 56.8056068 57.3015862 57.8204269 58.542511 59.0709953 59.6885147 60.1644821 60.7613144 61.3014297 62.087944 62.9806595 63.9541473 64.7242279 65.6006927 66.5642242 67.9406738 69.2558823 70.756424 72.6155853 74.5904999 76.4355164 78.8498383 81.5828094 84.6975708 89.0320282 95.6854858 107.204605 251.591461 ------------------------------ Transdef: Tab for variable 9 55.3054924 62.4485703 63.9961395 65.2217407 66.325058 67.3948975 68.3653488 69.0336609 70.0818024 70.6580276 71.3568268 71.9545746 72.65802 73.2748718 73.630188 74.1121826 74.6836472 75.0681992 75.5649719 76.0080109 76.440712 76.9926224 77.5551529 77.9626617 78.4282379 78.7426224 79.146286 79.5626831 79.9347382 80.4608002 80.7991104 81.4049759 81.8787918 82.2752075 82.6436386 83.2593079 83.7161789 84.2940521 84.984993 85.5892944 86.3607178 86.9343567 87.6853256 88.5756531 89.641449 90.4638824 91.4066162 92.1815948 92.9450989 94.0411148 94.8260803 95.843811 96.7606964 97.9221573 98.7116241 99.5405579 100.471596 101.28968 102.126534 102.835709 103.636414 104.483765 105.306953 106.169159 107.292374 108.148056 109.088394 109.788437 110.614716 111.496704 112.533173 113.64389 114.532455 115.290222 116.098816 117.036797 117.970047 118.770432 119.523361 120.475983 121.372269 122.171143 123.19622 124.184586 125.190918 126.064941 127.081886 128.19928 129.487213 130.658813 132.018173 133.443665 135.01889 137.522156 140.102341 143.531372 147.965851 154.311676 162.518906 178.912903 367.940948 ------------------------------ Transdef: Tab for variable 10 0.0686096698 1.03070557 1.26668119 1.47330022 1.62859058 1.76123047 1.87235296 1.9689343 2.04342508 2.09764576 2.16062307 2.21066904 2.26162481 2.31367445 2.35357475 2.39397001 2.4317646 2.46476412 2.49237204 2.52119303 2.54992485 2.57683945 2.60274649 2.62528229 2.6466279 2.66847873 2.69145918 2.70902157 2.72711182 2.74948978 2.76319695 2.78033113 2.79649591 2.81176424 2.82363796 2.83488798 2.84840012 2.86127806 2.87157321 2.88273859 2.8924799 2.90207243 2.91257119 2.92062187 2.92842722 2.93575883 2.94289255 2.95003176 2.95674157 2.96307659 2.97008634 2.9772675 2.98294973 2.98772717 2.99203014 2.99628592 3.00081968 3.0059669 3.01122642 3.01586056 3.02032995 3.02359891 3.02731633 3.0310173 3.03454852 3.03828859 3.04159975 3.04485178 3.0480442 3.05193567 3.05608273 3.05918002 3.06222153 3.06550837 3.06835747 3.07285523 3.07533932 3.07780457 3.08126497 3.08435202 3.08711481 3.09007168 3.09324121 3.09573555 3.09884548 3.10059309 3.10332155 3.1061821 3.10892296 3.11198282 3.11519098 3.11746192 3.11964822 3.12192392 3.12524486 3.12839413 3.13120675 3.13368583 3.13594437 3.13882327 3.14157772 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.0066364985 0.0124424687 0.0185867529 0.0263992511 0.0320291519 0.0401532054 0.0482751615 0.0562337041 0.0640956759 0.0722289383 0.0792982876 0.0867767334 0.0944575667 0.103372693 0.111342371 0.117720723 0.126753017 0.135728478 0.144300938 0.151439101 0.158293068 0.165036798 0.172184706 0.178915977 0.186977446 0.19498539 0.200363338 0.205511451 0.212114334 0.217163116 0.223561525 0.229444861 0.234908342 0.240142524 0.245666742 0.250151753 0.255737364 0.260703504 0.266092181 0.27258414 0.27938199 0.284646332 0.292580843 0.298233658 0.303859949 0.310220838 0.316966772 0.322044134 0.327064961 0.333705068 0.338853598 0.345170498 0.350422263 0.355776548 0.361230493 0.367221117 0.373289287 0.379330993 0.3864232 0.393783569 0.399897695 0.4068923 0.413222492 0.42100966 0.427692056 0.434784412 0.441628695 0.449604034 0.455346406 0.460699975 0.467427015 0.473727167 0.480751157 0.487206548 0.494319916 0.500370026 0.506979704 0.513753057 0.521849751 0.530579448 0.540304124 0.548466682 0.557533741 0.566641808 0.57668674 0.587245822 0.597576201 0.609458923 0.620660543 0.634078741 0.649015546 0.662661672 0.678079188 0.694957972 0.711515486 0.734990835 0.764906287 0.797688127 0.855360389 1.14136529 ------------------------------ Transdef: Tab for variable 12 0.200196758 0.214222461 0.22554338 0.232811645 0.242400736 0.249632835 0.2579602 0.265280426 0.273702145 0.280757666 0.289219737 0.296129405 0.304641962 0.3130669 0.320731103 0.326031387 0.331379533 0.338388622 0.346444696 0.353353024 0.35959667 0.366058022 0.371492833 0.37853539 0.384679556 0.390741348 0.397633553 0.402424961 0.406915396 0.412761033 0.417076588 0.421525925 0.425568074 0.429446042 0.434072137 0.438408852 0.442491919 0.446982235 0.450924158 0.45503363 0.459354609 0.463252842 0.467874527 0.471733093 0.475630134 0.479341626 0.483824432 0.487187445 0.490898669 0.49502784 0.498758584 0.502844691 0.506790936 0.511420608 0.516570508 0.520932317 0.524709105 0.528945208 0.533393323 0.539528012 0.543209851 0.547274709 0.552365899 0.557700753 0.56233561 0.566840291 0.571887255 0.577703238 0.582210302 0.589083791 0.594147921 0.599020183 0.605526686 0.610259295 0.617020249 0.622908711 0.631239891 0.637830317 0.645448327 0.652429223 0.659496307 0.664363444 0.670621455 0.677901864 0.685738683 0.69352901 0.700998902 0.71148324 0.722255707 0.730731726 0.741176724 0.750707388 0.7582829 0.774873257 0.79016614 0.806790948 0.824440718 0.84400475 0.863782525 0.908981681 1.14755547 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.3603897 22.2864037 22.7833557 23.3156109 23.9156475 24.4563828 25.0042076 25.4307499 25.7777519 26.1364441 26.5025311 26.8487091 27.1644249 27.5249748 27.9170303 28.2472878 28.5871239 28.971241 29.2563496 29.4854736 29.8333511 30.186142 30.5027161 30.8293381 31.1376305 31.4918556 31.8478851 32.1774902 32.454422 32.8023148 33.0754852 33.4296951 33.7538223 34.0625916 34.4524612 34.7105255 34.9979172 35.2973251 35.5805817 35.9510498 36.2816772 36.6495514 37.0022659 37.4133224 37.8033371 38.190506 38.640461 39.1301498 39.5414124 39.9718094 40.4658165 40.9459152 41.3822556 41.8042793 42.3379059 42.8758011 43.341423 43.6914825 44.2592392 44.7820778 45.3388367 45.9514771 46.4541321 46.9789352 47.5878334 48.152298 48.7455292 49.3176613 49.9551773 50.753273 51.5422134 52.3913956 53.1537781 54.0551567 54.9867401 55.8268013 56.7074318 57.6478806 58.6181946 59.7129402 60.8443871 62.1554031 63.3305206 64.8571548 66.4133759 68.0705261 69.4204025 71.0045013 72.8972931 74.6280136 76.544075 78.2574387 80.4809265 83.5195847 86.4950104 90.1030731 94.5005264 100.968285 112.204857 216.87648 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.5668783 10.9687519 11.3355885 11.5550365 11.7516632 12.0941534 12.4364338 12.7016926 12.988781 13.2351246 13.4562693 13.6749325 13.8984108 14.0982819 14.2979136 14.536232 14.7306509 14.9079247 15.1419601 15.3247414 15.5193911 15.6764851 15.8393517 16.0277233 16.2670422 16.5098553 16.7515488 16.9632416 17.2689972 17.4874306 17.6778679 17.8754597 18.0993423 18.3385811 18.6158066 18.8832397 19.1137543 19.3775864 19.6165466 19.8819199 20.1441879 20.3272648 20.5965462 20.8881435 21.1323738 21.3945541 21.6649742 21.8707924 22.1653824 22.4560509 22.7552757 23.046772 23.319212 23.6105652 23.9544487 24.225563 24.5489502 24.9014778 25.2420406 25.585743 25.8879738 26.223772 26.5541725 26.8614998 27.1738281 27.4595795 27.7627487 28.1394386 28.5552139 28.9464912 29.3937588 29.8017044 30.1882858 30.5508614 31.0682735 31.4626637 32.039753 32.6322021 33.0973663 33.6626167 34.1972923 34.9319 35.5904808 36.2171555 36.9871864 37.6507645 38.4147186 39.289299 40.3303566 41.3069267 42.9311104 44.1417694 45.5076065 47.4964294 49.7678375 52.5084648 56.0505066 59.9463806 67.1230164 107.416672 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 63.7 45.4 41.7 22.6 49.0 60.0 50.6 62.9 -29.4 -9.0 -15.7 2.3 0.7 2 63.7 100.0 62.4 51.0 22.1 67.2 93.9 68.3 91.5 -52.0 -19.6 -32.5 20.0 13.1 3 45.4 62.4 100.0 26.0 -3.0 29.9 66.7 48.3 68.3 -20.2 -18.5 -34.5 54.6 2.5 4 41.7 51.0 26.0 100.0 4.1 29.7 52.7 40.3 56.0 -15.8 -21.3 -38.6 3.0 57.4 5 22.6 22.1 -3.0 4.1 100.0 79.1 -5.6 45.6 46.3 25.9 -1.0 0.4 -14.6 -8.2 6 49.0 67.2 29.9 29.7 79.1 100.0 45.3 73.1 79.5 -10.5 -11.0 -16.7 0.6 2.2 7 60.0 93.9 66.7 52.7 -5.6 45.3 100.0 62.6 79.8 -57.9 -18.2 -32.1 26.7 17.8 8 50.6 68.3 48.3 40.3 45.6 73.1 62.6 100.0 77.7 -14.2 -17.2 -25.5 15.8 11.7 9 62.9 91.5 68.3 56.0 46.3 79.5 79.8 77.7 100.0 -28.4 -20.8 -36.3 23.7 16.2 10 -29.4 -52.0 -20.2 -15.8 25.9 -10.5 -57.9 -14.2 -28.4 100.0 6.3 8.9 -4.7 -1.4 11 -9.0 -19.6 -18.5 -21.3 -1.0 -11.0 -18.2 -17.2 -20.8 6.3 100.0 57.5 3.9 0.0 12 -15.7 -32.5 -34.5 -38.6 0.4 -16.7 -32.1 -25.5 -36.3 8.9 57.5 100.0 -3.1 -5.5 13 2.3 20.0 54.6 3.0 -14.6 0.6 26.7 15.8 23.7 -4.7 3.9 -3.1 100.0 46.9 14 0.7 13.1 2.5 57.4 -8.2 2.2 17.8 11.7 16.2 -1.4 0.0 -5.5 46.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 148.672345 TOTAL CORRELATION OF ALL VARIABLES 70.8456274 ROUND 1: MAX CORR ( 70.831454) AFTER KILLING INPUT VARIABLE 6 CONTR 1.41705531 ROUND 2: MAX CORR ( 70.8141672) AFTER KILLING INPUT VARIABLE 11 CONTR 1.56480216 ROUND 3: MAX CORR ( 70.748578) AFTER KILLING INPUT VARIABLE 8 CONTR 3.04712788 ROUND 4: MAX CORR ( 70.6075538) AFTER KILLING INPUT VARIABLE 10 CONTR 4.46482186 ROUND 5: MAX CORR ( 70.418925) AFTER KILLING INPUT VARIABLE 13 CONTR 5.15767939 ROUND 6: MAX CORR ( 70.150436) AFTER KILLING INPUT VARIABLE 7 CONTR 6.14339683 ROUND 7: MAX CORR ( 69.5919915) AFTER KILLING INPUT VARIABLE 9 CONTR 8.83393373 ROUND 8: MAX CORR ( 68.864301) AFTER KILLING INPUT VARIABLE 5 CONTR 10.037596 ROUND 9: MAX CORR ( 68.0343749) AFTER KILLING INPUT VARIABLE 3 CONTR 10.6590707 ROUND 10: MAX CORR ( 66.963857) AFTER KILLING INPUT VARIABLE 12 CONTR 12.0215648 ROUND 11: MAX CORR ( 64.6385112) AFTER KILLING INPUT VARIABLE 14 CONTR 17.4934563 ROUND 12: MAX CORR ( 63.7460978) AFTER KILLING INPUT VARIABLE 4 CONTR 10.7038378 LAST REMAINING VARIABLE: 2 total correlation to target: 70.8456274 % total significance: 62.6684817 sigma correlations of single variables to target: variable 2: 63.7460978 % , in sigma: 56.3883942 variable 3: 45.3872299 % , in sigma: 40.1485439 variable 4: 41.7400046 % , in sigma: 36.9222887 variable 5: 22.6291551 % , in sigma: 20.0172522 variable 6: 48.9803936 % , in sigma: 43.3269774 variable 7: 60.0046245 % , in sigma: 53.0787692 variable 8: 50.6357734 % , in sigma: 44.7912899 variable 9: 62.9340396 % , in sigma: 55.6700653 variable 10: -29.4446189 % , in sigma: 26.0460614 variable 11: -8.97854233 % , in sigma: 7.9422208 variable 12: -15.7440247 % , in sigma: 13.9268175 variable 13: 2.30351539 % , in sigma: 2.03763898 variable 14: 0.710548077 % , in sigma: 0.628535179 variables sorted by significance: 1 most relevant variable 2 corr 63.7460976 , in sigma: 56.3883939 2 most relevant variable 4 corr 10.7038374 , in sigma: 9.46837881 3 most relevant variable 14 corr 17.4934559 , in sigma: 15.4743258 4 most relevant variable 12 corr 12.0215645 , in sigma: 10.6340112 5 most relevant variable 3 corr 10.659071 , in sigma: 9.42877942 6 most relevant variable 5 corr 10.0375957 , in sigma: 8.87903612 7 most relevant variable 9 corr 8.83393383 , in sigma: 7.8143033 8 most relevant variable 7 corr 6.14339685 , in sigma: 5.43431355 9 most relevant variable 13 corr 5.15767956 , in sigma: 4.56236974 10 most relevant variable 10 corr 4.46482182 , in sigma: 3.94948304 11 most relevant variable 8 corr 3.04712796 , in sigma: 2.69542228 12 most relevant variable 11 corr 1.56480217 , in sigma: 1.38418954 13 most relevant variable 6 corr 1.41705537 , in sigma: 1.25349597 global correlations between input variables: variable 2: 99.1354042 % variable 3: 93.2991164 % variable 4: 90.0235424 % variable 5: 95.1818043 % variable 6: 94.8262983 % variable 7: 98.5174908 % variable 8: 86.4944254 % variable 9: 98.9409306 % variable 10: 72.3598601 % variable 11: 58.4617997 % variable 12: 67.6277755 % variable 13: 85.7071852 % variable 14: 86.5121868 % significance loss when removing single variables: variable 2: corr = 5.32335822 % , sigma = 4.70892544 variable 3: corr = 14.3852891 % , sigma = 12.7249099 variable 4: corr = 17.1257511 % , sigma = 15.1490622 variable 5: corr = 10.1852875 % , sigma = 9.009681 variable 6: corr = 1.41705531 % , sigma = 1.25349592 variable 7: corr = 3.71376852 % , sigma = 3.28511784 variable 8: corr = 2.51177767 % , sigma = 2.22186321 variable 9: corr = 8.02459487 % , sigma = 7.09837988 variable 10: corr = 4.62788631 % , sigma = 4.0937263 variable 11: corr = 1.53189567 % , sigma = 1.35508117 variable 12: corr = 9.94046117 % , sigma = 8.79311301 variable 13: corr = 5.19091977 % , sigma = 4.5917733 variable 14: corr = 7.87415213 % , sigma = 6.96530155 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 12.8410769 sigma out 15 active outputs RANK 2 NODE 5 --> 10.1690998 sigma out 15 active outputs RANK 3 NODE 1 --> 9.87458229 sigma out 15 active outputs RANK 4 NODE 3 --> 9.2709198 sigma out 15 active outputs RANK 5 NODE 8 --> 8.94282055 sigma out 15 active outputs RANK 6 NODE 9 --> 8.00395775 sigma out 15 active outputs RANK 7 NODE 10 --> 7.14462376 sigma out 15 active outputs RANK 8 NODE 7 --> 6.91297007 sigma out 15 active outputs RANK 9 NODE 4 --> 6.81370926 sigma out 15 active outputs RANK 10 NODE 2 --> 6.33221531 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 15.8044462 sigma in 10act. ( 17.1177959 sig out 1act.) RANK 2 NODE 6 --> 10.9107552 sigma in 10act. ( 11.1581583 sig out 1act.) RANK 3 NODE 9 --> 9.90203762 sigma in 10act. ( 10.2736702 sig out 1act.) RANK 4 NODE 7 --> 8.92303848 sigma in 10act. ( 9.63478756 sig out 1act.) RANK 5 NODE 15 --> 7.76917219 sigma in 10act. ( 7.82403564 sig out 1act.) RANK 6 NODE 1 --> 6.92549276 sigma in 10act. ( 7.5121665 sig out 1act.) RANK 7 NODE 14 --> 6.34689713 sigma in 10act. ( 6.57078457 sig out 1act.) RANK 8 NODE 5 --> 5.50311899 sigma in 10act. ( 5.14891815 sig out 1act.) RANK 9 NODE 12 --> 4.46987152 sigma in 10act. ( 3.70445824 sig out 1act.) RANK 10 NODE 4 --> 3.36632609 sigma in 10act. ( 3.16832852 sig out 1act.) RANK 11 NODE 11 --> 3.30025458 sigma in 10act. ( 3.62604451 sig out 1act.) RANK 12 NODE 10 --> 3.25097084 sigma in 10act. ( 3.1532743 sig out 1act.) RANK 13 NODE 2 --> 1.38474882 sigma in 10act. ( 0.273654103 sig out 1act.) RANK 14 NODE 3 --> 0.754198909 sigma in 10act. ( 0.112397745 sig out 1act.) RANK 15 NODE 8 --> 0.715725899 sigma in 10act. ( 0.466703266 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 17.1177959 sigma out 1act.( 15.8044462 sig in 10act.) RANK 2 NODE 6 --> 11.1581583 sigma out 1act.( 10.9107552 sig in 10act.) RANK 3 NODE 9 --> 10.2736702 sigma out 1act.( 9.90203762 sig in 10act.) RANK 4 NODE 7 --> 9.63478756 sigma out 1act.( 8.92303848 sig in 10act.) RANK 5 NODE 15 --> 7.82403564 sigma out 1act.( 7.76917219 sig in 10act.) RANK 6 NODE 1 --> 7.5121665 sigma out 1act.( 6.92549276 sig in 10act.) RANK 7 NODE 14 --> 6.57078457 sigma out 1act.( 6.34689713 sig in 10act.) RANK 8 NODE 5 --> 5.14891815 sigma out 1act.( 5.50311899 sig in 10act.) RANK 9 NODE 12 --> 3.70445824 sigma out 1act.( 4.46987152 sig in 10act.) RANK 10 NODE 11 --> 3.62604451 sigma out 1act.( 3.30025458 sig in 10act.) RANK 11 NODE 4 --> 3.16832852 sigma out 1act.( 3.36632609 sig in 10act.) RANK 12 NODE 10 --> 3.1532743 sigma out 1act.( 3.25097084 sig in 10act.) RANK 13 NODE 8 --> 0.466703266 sigma out 1act.( 0.715725899 sig in 10act.) RANK 14 NODE 2 --> 0.273654103 sigma out 1act.( 1.38474882 sig in 10act.) RANK 15 NODE 3 --> 0.112397745 sigma out 1act.( 0.754198909 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 29.1615086 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 17.4647388 sigma out 15 active outputs RANK 2 NODE 6 --> 13.2142868 sigma out 15 active outputs RANK 3 NODE 5 --> 11.8143969 sigma out 15 active outputs RANK 4 NODE 1 --> 11.0850487 sigma out 15 active outputs RANK 5 NODE 3 --> 10.3108406 sigma out 15 active outputs RANK 6 NODE 8 --> 10.2546625 sigma out 15 active outputs RANK 7 NODE 4 --> 9.64293098 sigma out 15 active outputs RANK 8 NODE 2 --> 8.1483326 sigma out 15 active outputs RANK 9 NODE 7 --> 8.14446545 sigma out 15 active outputs RANK 10 NODE 10 --> 8.13728523 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 15.1407738 sigma in 10act. ( 16.2935619 sig out 1act.) RANK 2 NODE 15 --> 10.6466398 sigma in 10act. ( 8.61968231 sig out 1act.) RANK 3 NODE 7 --> 10.4957571 sigma in 10act. ( 9.24274063 sig out 1act.) RANK 4 NODE 6 --> 10.4377289 sigma in 10act. ( 9.69193554 sig out 1act.) RANK 5 NODE 8 --> 9.93606091 sigma in 10act. ( 3.94932747 sig out 1act.) RANK 6 NODE 9 --> 9.79774857 sigma in 10act. ( 9.39594173 sig out 1act.) RANK 7 NODE 1 --> 9.45655251 sigma in 10act. ( 8.15489197 sig out 1act.) RANK 8 NODE 5 --> 8.51204205 sigma in 10act. ( 4.13817787 sig out 1act.) RANK 9 NODE 2 --> 8.48797321 sigma in 10act. ( 2.20095372 sig out 1act.) RANK 10 NODE 14 --> 7.85044146 sigma in 10act. ( 6.21812057 sig out 1act.) RANK 11 NODE 4 --> 7.69222593 sigma in 10act. ( 3.87357092 sig out 1act.) RANK 12 NODE 11 --> 6.73513508 sigma in 10act. ( 4.51715326 sig out 1act.) RANK 13 NODE 10 --> 6.66797781 sigma in 10act. ( 2.87326455 sig out 1act.) RANK 14 NODE 12 --> 5.09703827 sigma in 10act. ( 2.28417611 sig out 1act.) RANK 15 NODE 3 --> 4.30589056 sigma in 10act. ( 0.747285724 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 16.2935619 sigma out 1act.( 15.1407738 sig in 10act.) RANK 2 NODE 6 --> 9.69193554 sigma out 1act.( 10.4377289 sig in 10act.) RANK 3 NODE 9 --> 9.39594173 sigma out 1act.( 9.79774857 sig in 10act.) RANK 4 NODE 7 --> 9.24274063 sigma out 1act.( 10.4957571 sig in 10act.) RANK 5 NODE 15 --> 8.61968231 sigma out 1act.( 10.6466398 sig in 10act.) RANK 6 NODE 1 --> 8.15489197 sigma out 1act.( 9.45655251 sig in 10act.) RANK 7 NODE 14 --> 6.21812057 sigma out 1act.( 7.85044146 sig in 10act.) RANK 8 NODE 11 --> 4.51715326 sigma out 1act.( 6.73513508 sig in 10act.) RANK 9 NODE 5 --> 4.13817787 sigma out 1act.( 8.51204205 sig in 10act.) RANK 10 NODE 8 --> 3.94932747 sigma out 1act.( 9.93606091 sig in 10act.) RANK 11 NODE 4 --> 3.87357092 sigma out 1act.( 7.69222593 sig in 10act.) RANK 12 NODE 10 --> 2.87326455 sigma out 1act.( 6.66797781 sig in 10act.) RANK 13 NODE 12 --> 2.28417611 sigma out 1act.( 5.09703827 sig in 10act.) RANK 14 NODE 2 --> 2.20095372 sigma out 1act.( 8.48797321 sig in 10act.) RANK 15 NODE 3 --> 0.747285724 sigma out 1act.( 4.30589056 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 28.2771759 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.468363076 *** contribution from regularisation: 0.0146524869 *** contribution from error: -0.483015567 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.53565222 *** contribution from regularisation: 0.00661208201 *** contribution from error: -0.542264283 *********************************************** -----------------> Test sample ENTER BFGS code START -12305.6922 -0.471490532 0.0254139174 EXIT FROM BFGS code FG_START 0. -0.471490532 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.552672565 *** contribution from regularisation: 0.00611135317 *** contribution from error: -0.558783889 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12694.3367 -0.471490532 1.96183825 EXIT FROM BFGS code FG_LNSRCH 0. -0.468342662 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.566701174 *** contribution from regularisation: 0.00791658275 *** contribution from error: -0.574617743 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13016.5598 -0.468342662 3.19278598 EXIT FROM BFGS code NEW_X -13016.5598 -0.468342662 3.19278598 ENTER BFGS code NEW_X -13016.5598 -0.468342662 3.19278598 EXIT FROM BFGS code FG_LNSRCH 0. -0.465430498 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.568656325 *** contribution from regularisation: 0.00780018 *** contribution from error: -0.576456487 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13061.4674 -0.465430498 9.16870308 EXIT FROM BFGS code NEW_X -13061.4674 -0.465430498 9.16870308 ENTER BFGS code NEW_X -13061.4674 -0.465430498 9.16870308 EXIT FROM BFGS code FG_LNSRCH 0. -0.449190497 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.569050431 *** contribution from regularisation: 0.00766804675 *** contribution from error: -0.57671845 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13070.5196 -0.449190497 9.74439526 EXIT FROM BFGS code NEW_X -13070.5196 -0.449190497 9.74439526 ENTER BFGS code NEW_X -13070.5196 -0.449190497 9.74439526 EXIT FROM BFGS code FG_LNSRCH 0. -0.408626527 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.56906718 *** contribution from regularisation: 0.00749722403 *** contribution from error: -0.576564431 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13070.9037 -0.408626527 8.41131592 EXIT FROM BFGS code NEW_X -13070.9037 -0.408626527 8.41131592 ENTER BFGS code NEW_X -13070.9037 -0.408626527 8.41131592 EXIT FROM BFGS code FG_LNSRCH 0. -0.362344414 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.569203556 *** contribution from regularisation: 0.00721200695 *** contribution from error: -0.576415539 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13074.0366 -0.362344414 5.9388876 EXIT FROM BFGS code NEW_X -13074.0366 -0.362344414 5.9388876 ENTER BFGS code NEW_X -13074.0366 -0.362344414 5.9388876 EXIT FROM BFGS code FG_LNSRCH 0. 0.0113144331 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.564409375 *** contribution from regularisation: 0.00429064594 *** contribution from error: -0.568700016 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12963.9193 0.0113144331 -86.0021362 EXIT FROM BFGS code FG_LNSRCH 0. -0.264384925 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 21.8494873 sigma out 15 active outputs RANK 2 NODE 4 --> 10.3591852 sigma out 15 active outputs RANK 3 NODE 1 --> 9.28190708 sigma out 15 active outputs RANK 4 NODE 5 --> 8.90633011 sigma out 15 active outputs RANK 5 NODE 8 --> 7.45575714 sigma out 15 active outputs RANK 6 NODE 7 --> 6.35754347 sigma out 15 active outputs RANK 7 NODE 6 --> 5.85560417 sigma out 15 active outputs RANK 8 NODE 3 --> 5.52033663 sigma out 15 active outputs RANK 9 NODE 2 --> 5.51041794 sigma out 15 active outputs RANK 10 NODE 10 --> 4.38048077 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 13.9783802 sigma in 10act. ( 10.5032892 sig out 1act.) RANK 2 NODE 15 --> 12.5854149 sigma in 10act. ( 8.50823402 sig out 1act.) RANK 3 NODE 2 --> 10.8090601 sigma in 10act. ( 6.50941992 sig out 1act.) RANK 4 NODE 13 --> 8.73320484 sigma in 10act. ( 6.38570404 sig out 1act.) RANK 5 NODE 11 --> 7.70118809 sigma in 10act. ( 4.32090235 sig out 1act.) RANK 6 NODE 7 --> 7.29803753 sigma in 10act. ( 4.04130363 sig out 1act.) RANK 7 NODE 1 --> 6.91447926 sigma in 10act. ( 3.72295856 sig out 1act.) RANK 8 NODE 10 --> 6.71578646 sigma in 10act. ( 3.73090053 sig out 1act.) RANK 9 NODE 4 --> 6.2058835 sigma in 10act. ( 2.08849144 sig out 1act.) RANK 10 NODE 6 --> 5.93855619 sigma in 10act. ( 4.01047993 sig out 1act.) RANK 11 NODE 14 --> 5.71203232 sigma in 10act. ( 2.73024464 sig out 1act.) RANK 12 NODE 5 --> 5.66117811 sigma in 10act. ( 1.32113218 sig out 1act.) RANK 13 NODE 3 --> 5.62096691 sigma in 10act. ( 2.47413516 sig out 1act.) RANK 14 NODE 9 --> 5.21532059 sigma in 10act. ( 2.48978496 sig out 1act.) RANK 15 NODE 12 --> 3.299577 sigma in 10act. ( 0.36340037 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 10.5032892 sigma out 1act.( 13.9783802 sig in 10act.) RANK 2 NODE 15 --> 8.50823402 sigma out 1act.( 12.5854149 sig in 10act.) RANK 3 NODE 2 --> 6.50941992 sigma out 1act.( 10.8090601 sig in 10act.) RANK 4 NODE 13 --> 6.38570404 sigma out 1act.( 8.73320484 sig in 10act.) RANK 5 NODE 11 --> 4.32090235 sigma out 1act.( 7.70118809 sig in 10act.) RANK 6 NODE 7 --> 4.04130363 sigma out 1act.( 7.29803753 sig in 10act.) RANK 7 NODE 6 --> 4.01047993 sigma out 1act.( 5.93855619 sig in 10act.) RANK 8 NODE 10 --> 3.73090053 sigma out 1act.( 6.71578646 sig in 10act.) RANK 9 NODE 1 --> 3.72295856 sigma out 1act.( 6.91447926 sig in 10act.) RANK 10 NODE 14 --> 2.73024464 sigma out 1act.( 5.71203232 sig in 10act.) RANK 11 NODE 9 --> 2.48978496 sigma out 1act.( 5.21532059 sig in 10act.) RANK 12 NODE 3 --> 2.47413516 sigma out 1act.( 5.62096691 sig in 10act.) RANK 13 NODE 4 --> 2.08849144 sigma out 1act.( 6.2058835 sig in 10act.) RANK 14 NODE 5 --> 1.32113218 sigma out 1act.( 5.66117811 sig in 10act.) RANK 15 NODE 12 --> 0.36340037 sigma out 1act.( 3.299577 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 19.2545853 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.56255424 *** contribution from regularisation: 0.0135247381 *** contribution from error: -0.576078951 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -12921.3079 -0.264384925 -2.07618737 EXIT FROM BFGS code FG_LNSRCH 0. -0.358532399 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.569688499 *** contribution from regularisation: 0.00672319485 *** contribution from error: -0.576411664 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13085.1745 -0.358532399 5.40838337 EXIT FROM BFGS code FG_LNSRCH 0. -0.355117083 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.568437994 *** contribution from regularisation: 0.00797041412 *** contribution from error: -0.576408386 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13056.4528 -0.355117083 5.4213419 EXIT FROM BFGS code FG_LNSRCH 0. -0.358503878 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.568890929 *** contribution from regularisation: 0.00752063654 *** contribution from error: -0.576411545 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13066.8557 -0.358503878 5.40349054 EXIT FROM BFGS code FG_LNSRCH 0. -0.358532399 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.568664968 *** contribution from regularisation: 0.00774669414 *** contribution from error: -0.576411664 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13061.6657 -0.358532399 5.51289463 EXIT FROM BFGS code NEW_X -13061.6657 -0.358532399 5.51289463 ENTER BFGS code NEW_X -13061.6657 -0.358532399 5.51289463 EXIT FROM BFGS code CONVERGENC -13061.6657 -0.358532399 5.51289463 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 25.4316502 sigma out 15 active outputs RANK 2 NODE 1 --> 13.4037752 sigma out 15 active outputs RANK 3 NODE 4 --> 12.1988831 sigma out 15 active outputs RANK 4 NODE 5 --> 11.200902 sigma out 15 active outputs RANK 5 NODE 8 --> 9.3154068 sigma out 15 active outputs RANK 6 NODE 6 --> 8.44975567 sigma out 15 active outputs RANK 7 NODE 7 --> 7.76805115 sigma out 15 active outputs RANK 8 NODE 3 --> 7.5405426 sigma out 15 active outputs RANK 9 NODE 2 --> 7.12061214 sigma out 15 active outputs RANK 10 NODE 10 --> 5.42866802 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 16.7153053 sigma in 10act. ( 13.3747501 sig out 1act.) RANK 2 NODE 8 --> 16.4923286 sigma in 10act. ( 15.5003586 sig out 1act.) RANK 3 NODE 2 --> 12.8391733 sigma in 10act. ( 10.3240099 sig out 1act.) RANK 4 NODE 13 --> 12.6568642 sigma in 10act. ( 12.0737419 sig out 1act.) RANK 5 NODE 11 --> 9.6900816 sigma in 10act. ( 8.03093433 sig out 1act.) RANK 6 NODE 1 --> 9.64324093 sigma in 10act. ( 7.40758562 sig out 1act.) RANK 7 NODE 7 --> 8.54592609 sigma in 10act. ( 8.79516315 sig out 1act.) RANK 8 NODE 6 --> 7.83158636 sigma in 10act. ( 7.56373262 sig out 1act.) RANK 9 NODE 10 --> 6.93723297 sigma in 10act. ( 6.00204086 sig out 1act.) RANK 10 NODE 4 --> 6.83255816 sigma in 10act. ( 4.47357655 sig out 1act.) RANK 11 NODE 14 --> 6.79660797 sigma in 10act. ( 5.72508526 sig out 1act.) RANK 12 NODE 3 --> 6.5338974 sigma in 10act. ( 4.54562664 sig out 1act.) RANK 13 NODE 9 --> 6.21299982 sigma in 10act. ( 5.50021315 sig out 1act.) RANK 14 NODE 5 --> 5.22726202 sigma in 10act. ( 3.10122967 sig out 1act.) RANK 15 NODE 12 --> 2.9897275 sigma in 10act. ( 0.963382602 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 15.5003586 sigma out 1act.( 16.4923286 sig in 10act.) RANK 2 NODE 15 --> 13.3747501 sigma out 1act.( 16.7153053 sig in 10act.) RANK 3 NODE 13 --> 12.0737419 sigma out 1act.( 12.6568642 sig in 10act.) RANK 4 NODE 2 --> 10.3240099 sigma out 1act.( 12.8391733 sig in 10act.) RANK 5 NODE 7 --> 8.79516315 sigma out 1act.( 8.54592609 sig in 10act.) RANK 6 NODE 11 --> 8.03093433 sigma out 1act.( 9.6900816 sig in 10act.) RANK 7 NODE 6 --> 7.56373262 sigma out 1act.( 7.83158636 sig in 10act.) RANK 8 NODE 1 --> 7.40758562 sigma out 1act.( 9.64324093 sig in 10act.) RANK 9 NODE 10 --> 6.00204086 sigma out 1act.( 6.93723297 sig in 10act.) RANK 10 NODE 14 --> 5.72508526 sigma out 1act.( 6.79660797 sig in 10act.) RANK 11 NODE 9 --> 5.50021315 sigma out 1act.( 6.21299982 sig in 10act.) RANK 12 NODE 3 --> 4.54562664 sigma out 1act.( 6.5338974 sig in 10act.) RANK 13 NODE 4 --> 4.47357655 sigma out 1act.( 6.83255816 sig in 10act.) RANK 14 NODE 5 --> 3.10122967 sigma out 1act.( 5.22726202 sig in 10act.) RANK 15 NODE 12 --> 0.963382602 sigma out 1act.( 2.9897275 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 32.798069 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.568776846 *** contribution from regularisation: 0.00763482181 *** contribution from error: -0.576411664 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done