NNInput NNInputs_195.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= 10268 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 = 1501 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 1501 Chosen entries: 1501 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.17121 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 1501 Entries to split: 1501 Test with : 750 Train with : 750 ********************************************* * 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= 1501 for Signal Prepared event 0 for Signal with 1501 events ====Entry 0 Variable Ht : 187.742 Variable LepAPt : 47.4418 Variable LepBPt : 19.3159 Variable MetSigLeptonsJets : 2.64259 Variable MetSpec : 32.1707 Variable SumEtLeptonsJets : 154.857 Variable VSumJetLeptonsPt : 53.2532 Variable addEt : 99.6427 Variable dPhiLepSumMet : 2.42901 Variable dPhiLeptons : 0.334348 Variable dRLeptons : 0.484185 Variable lep1_E : 60.4755 Variable lep2_E : 31.6057 ===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 = 2195 Ht = 187.742 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 47.4419 LepAPt = 47.4418 LepBEt = 19.316 LepBPt = 19.3159 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 32.8848 MetDelPhi = 1.36202 MetSig = 2.09418 MetSigLeptonsJets = 2.64259 MetSpec = 32.1707 Mjj = 0 MostCentralJetEta = -0.998967 MtllMet = 108.202 Njets = 1 SB = 0 SumEt = 246.582 SumEtJets = 0 SumEtLeptonsJets = 154.857 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 53.2532 addEt = 99.6427 dPhiLepSumMet = 2.42901 dPhiLeptons = 0.334348 dRLeptons = 0.484185 diltype = 81 dimass = 14.667 event = 201 jet1_Et = 88.0989 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 60.4755 lep2_E = 31.6057 rand = 0.999742 run = 197812 weight = 2.09233e-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= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===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 = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 1.86487 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 315 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 10268 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 315 negative weights. Signal fraction: 67.1224442 % ------------------------------ 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 58.694416 67.1979675 67.2366562 70.2088394 70.2539062 70.2850266 71.9544449 76.5653915 79.6378098 79.7740021 81.4079208 83.9552765 84.527771 85.3409348 86.2072754 86.8433838 89.0846405 91.0908966 91.1165543 91.9643707 94.3075027 95.2904739 95.605484 96.0459824 96.634407 97.2838669 97.6499176 98.8731079 99.7214661 100.219727 101.474594 101.540405 102.125351 102.378799 104.89679 105.949974 106.224213 106.253975 108.175735 109.199554 109.728157 110.165207 110.761894 112.656525 113.910118 114.985596 116.249146 117.570992 119.586533 121.016785 121.148315 122.393585 123.320343 124.185005 125.23439 125.557365 127.160294 128.213669 128.378754 130.42926 131.288086 133.367523 134.499542 135.645935 136.580688 137.773529 139.065659 140.588409 142.056763 143.038651 144.053299 145.865921 148.147705 148.928101 151.293335 153.671021 156.256256 156.768311 158.897888 161.104095 163.435486 165.116806 168.414215 170.010925 173.313202 176.350098 178.915009 181.328369 185.971436 191.329895 195.491272 200.690887 205.104126 207.152634 211.187805 220.226913 234.713486 255.931946 278.256775 322.523193 619.495056 ------------------------------ Transdef: Tab for variable 3 20.0040321 20.5956268 21.1734352 21.4190178 21.5296936 21.5828819 21.9338951 22.0090294 22.4169769 22.5847473 22.8125381 22.8639984 23.2076855 23.692421 24.1564922 24.4589558 24.8503647 25.0739536 25.6209278 25.8700905 26.1318493 26.3134327 26.4293518 26.7330246 26.950222 27.2469616 27.4720421 27.7389565 27.9201851 27.9272861 28.1531639 28.1561661 28.3964958 28.5566101 28.6015511 28.8248482 29.1377583 29.4434109 29.6833992 29.9153938 30.220787 30.4979706 30.5457172 30.6048203 30.8372364 31.0000381 31.0006695 31.0910339 31.5089779 31.9489326 32.1179886 32.2862778 32.9019165 33.1080933 33.3249207 33.6883316 34.1825638 34.4219398 34.4972382 34.9516983 35.3448524 35.8249054 36.4629135 36.8510971 36.8561287 37.3876991 37.5611305 37.8450584 38.0934715 38.1919785 38.6432228 39.0501709 39.7080688 39.9828491 40.4619789 40.5208817 41.0751877 41.7145729 41.8040619 42.5055275 43.1288681 43.7695618 44.4192581 45.2690964 45.8719559 45.9366531 46.6977386 47.5974579 48.8313637 49.9636536 50.733799 50.767868 51.8261871 53.6503448 54.5328827 56.3749542 59.2506409 62.2360229 65.2291565 65.8264923 86.1816177 ------------------------------ Transdef: Tab for variable 4 10.0008354 10.0392094 10.3762302 10.3762484 10.4586315 10.5276489 10.5889778 10.7282085 10.7728291 10.8832188 11.040019 11.2099628 11.2113743 11.3507814 11.3804741 11.4200678 11.4378223 11.4676991 11.6315613 11.6843567 11.8727703 12.0367489 12.3649406 12.5255194 12.8722296 13.1454582 13.3589077 13.3965788 13.4952984 13.7229595 13.9641323 14.1815281 14.309186 14.5574837 14.9406071 15.2631187 15.4115906 15.450325 15.6421518 15.8392048 16.0816097 16.3493729 16.4379253 16.5916233 16.6552525 16.7314587 16.9881134 17.2103424 17.5584812 17.8358383 18.1243362 18.4290276 18.5651779 18.7535229 18.8657722 19.3357029 19.6001587 19.8798752 20.0353737 20.2050991 20.3420353 20.4082527 20.4529381 20.6022129 20.7535191 20.9613895 21.1523724 21.1524105 21.3875389 21.552021 21.6763573 21.8092594 21.9314098 22.0361862 22.2060318 22.5335655 22.8201675 23.0973053 23.2763672 23.5746613 23.9461803 24.1231384 24.3256035 24.6033707 24.7731438 25.0251331 25.2711792 25.6216373 26.1377296 26.1957836 26.4043293 26.7011929 27.245924 27.8449783 27.8491707 28.2114296 28.5752525 29.6118469 31.4292488 32.089962 36.4675331 ------------------------------ Transdef: Tab for variable 5 2.12197471 3.06443143 3.06648636 3.24904084 3.3016367 3.40799236 3.78308105 4.02092028 4.1832943 4.27468109 4.53925037 4.59280729 4.62871361 4.70168495 4.75844383 4.75979328 4.78783512 4.86896801 5.01326656 5.1459074 5.15501451 5.22828674 5.2737875 5.35196209 5.46064663 5.55860901 5.66591644 5.75354958 5.83777142 5.83799124 5.89057636 5.99198818 6.06844139 6.10394573 6.17893696 6.2501483 6.27638817 6.31097031 6.41992855 6.47601986 6.55809593 6.60319614 6.65190125 6.66547871 6.72962332 6.73275566 6.81056499 6.89765739 6.96601009 6.96656656 6.96704292 7.01678324 7.05546045 7.10949183 7.15715981 7.16629887 7.22119808 7.24642372 7.29358673 7.3109827 7.35004377 7.40822601 7.45951939 7.50128651 7.53504086 7.5956254 7.68561935 7.72293282 7.81748819 7.84179306 7.88157749 7.94050121 7.98748875 8.05163956 8.09289742 8.18100929 8.25583649 8.30673218 8.35250568 8.40500927 8.47644806 8.49303246 8.55017376 8.60791397 8.70961189 8.73409176 8.77098656 8.85210037 8.95332432 9.05132484 9.2221241 9.38988113 9.50619888 9.65306759 9.83509731 10.0675106 10.3671341 10.6291218 11.2031775 11.860075 13.8108006 ------------------------------ Transdef: Tab for variable 6 25.0152855 27.0059814 27.1792679 27.2620125 28.8051319 29.0985641 29.3587189 29.4322548 30.3836174 31.8910561 31.9116001 33.3163681 33.5817719 34.5415421 34.7816772 34.8478775 35.7684402 36.4136124 36.4730339 36.4876823 36.4965935 37.2955704 37.8139648 38.4053154 39.5422058 40.3031235 41.0077896 41.7621078 42.0783691 42.5056381 42.7922935 42.9127121 44.1661911 44.9728088 45.9333496 46.452713 46.5203133 46.8148575 47.3828125 48.2045441 48.5414581 49.3256989 49.931118 50.4196091 50.4227028 50.9589081 51.0129852 51.825901 52.6140137 53.0652542 53.235611 53.6419945 54.2123642 54.6173935 55.5741234 56.4847794 56.8952141 56.97332 56.9746513 57.5462761 58.0242081 58.7601051 59.5967026 60.4621964 61.0203857 61.8641968 62.4978409 63.2293777 64.0365448 65.2531967 65.838974 66.4056549 67.6146851 68.3616486 68.8704681 69.4894409 69.6016083 70.6493759 71.4971008 72.0534821 73.0604858 74.2038498 75.5293579 76.1860962 77.5069733 78.6634521 80.2385712 82.0102081 83.3420258 84.6218948 85.5371399 88.193512 91.146225 93.017807 95.150032 97.5319061 99.8428497 109.428238 120.28614 132.73912 193.358276 ------------------------------ Transdef: Tab for variable 7 30.7100792 32.4559669 33.7961197 35.5898514 37.2012978 37.766758 38.0262451 38.3010254 39.1234512 40.4019089 41.4899597 41.6181412 41.9663391 42.230545 43.9820786 44.5940895 44.894001 45.149189 45.1501236 45.1806068 46.003685 46.7747688 48.1667747 48.9445877 50.1208496 50.5713654 50.8590736 51.9901733 52.6259613 52.6985016 53.026268 53.8076401 54.8035355 55.5422058 55.9478798 56.0910873 57.1919632 57.9273529 58.7905502 58.7933884 59.4345245 60.0694313 60.1555557 60.8291931 61.3132591 61.9028473 63.1978607 63.8177109 63.8201256 64.4532471 65.2372589 65.636734 66.8472519 67.7549286 68.1857758 68.8010101 69.8294754 70.8245163 71.4560394 71.8119507 72.140274 72.7461548 73.3634338 73.480423 74.5125427 76.8303986 78.5058594 78.6170349 78.7236023 79.3381195 81.2428894 82.5485535 83.8644028 84.8029327 85.9939499 87.5055084 89.3557129 91.4449615 91.5773926 92.9460907 93.7097549 94.1286774 95.7699738 99.4939117 100.905991 102.725266 103.941605 106.648872 110.055229 111.88829 114.593948 118.867035 121.360092 124.853004 132.030182 141.671036 146.950378 154.122803 167.918839 196.271332 369.520386 ------------------------------ Transdef: Tab for variable 8 12.4386702 26.9064121 28.2904186 29.6690598 29.7466908 32.1112289 32.7737617 33.8979568 34.0637131 34.1495285 35.2202492 35.9152222 36.4153976 36.5228806 36.6069946 37.336525 37.9095459 38.5774422 38.579422 39.2450638 40.2729912 41.2151718 41.3064079 41.4109917 41.9509392 42.0646019 42.7983856 43.1811829 43.5005913 43.6845512 44.1197052 44.1627808 44.2895393 44.4533043 45.1319275 45.1793671 45.6976166 46.7457123 47.4319153 48.1206093 48.4366531 48.4494934 49.0319977 49.1959686 49.3464584 49.8691177 50.5843201 51.0388603 51.11483 51.8013 52.7222023 53.0161057 53.6332855 53.8895874 54.1971436 54.5507126 55.2191696 55.9008484 56.4602242 57.1166458 57.904686 58.5956345 58.9417534 59.5112228 60.0186844 60.5168495 61.2920227 62.0271301 62.9897766 63.4741631 64.0402679 64.4153748 65.0388107 65.797287 66.8418884 67.5988235 68.1207733 68.8501434 69.3805847 70.6390076 71.124588 72.7425842 73.3494263 74.9357758 77.3805771 77.9106598 78.6073914 78.617012 79.6780167 81.1423111 82.6157379 83.9551849 85.6236877 88.2923203 92.8700104 95.9548492 99.8623962 105.835022 119.413345 131.852478 245.874863 ------------------------------ Transdef: Tab for variable 9 58.694416 67.1979675 67.2366562 68.8892517 70.2088394 70.2539062 70.6004028 71.9305496 72.9125061 75.2165527 76.6411438 77.0162659 78.706604 78.8943329 79.7675934 79.7868118 79.8695679 81.2958221 82.4259949 84.527771 84.5817795 85.4824524 86.2072754 86.5013885 88.3361282 89.4985504 89.6543655 89.9953384 90.2698593 90.4241486 91.0908966 91.1165543 91.9643707 92.9537048 94.3663177 95.605484 95.8495026 97.057312 98.09552 98.6249466 99.1868591 100.382973 101.533844 102.090103 102.123871 102.503639 104.290581 105.034393 105.920807 106.253975 106.714691 107.887283 109.070404 109.198257 109.921722 110.178238 110.768555 112.112976 112.887505 114.19133 115.398071 116.667862 117.346909 118.214401 119.898697 121.175507 122.01088 122.936172 123.657188 124.738266 125.675911 126.643936 128.199829 129.223267 130.847992 131.658173 133.40802 134.480042 135.645935 136.73436 137.801636 138.788513 140.028961 141.94986 143.618011 145.246826 146.667847 148.139038 149.655975 151.611298 152.598572 154.995148 156.304459 157.764954 160.55365 163.912994 168.516647 173.980515 181.01181 194.824905 318.163483 ------------------------------ Transdef: Tab for variable 10 0.323437154 1.15363932 1.40539515 1.69115829 1.79068375 1.87924218 1.89764726 1.93257523 2.04451942 2.10100174 2.16593122 2.21173716 2.24156141 2.25057554 2.27817392 2.31711912 2.32698369 2.33990717 2.38980293 2.44177866 2.47936869 2.47945428 2.5000999 2.52797413 2.55116034 2.59192991 2.61205959 2.61862659 2.61926842 2.64054179 2.66745162 2.67754698 2.70232439 2.72211838 2.73601913 2.76413441 2.7731173 2.78026104 2.79592729 2.80972528 2.82245588 2.83891344 2.83982801 2.85352898 2.86340714 2.86499929 2.86720824 2.87406182 2.88878584 2.89654016 2.90417004 2.91533804 2.92599368 2.93375111 2.94704652 2.96129203 2.96580124 2.96862745 2.97404814 2.9785614 2.98533916 2.98910475 2.99238706 3.00141764 3.01201606 3.01463771 3.01661587 3.02393031 3.03119183 3.03508329 3.03562284 3.03906369 3.04435205 3.04905653 3.0544467 3.06103683 3.06281471 3.06544018 3.07044649 3.07728505 3.0834465 3.08360815 3.0871563 3.09051323 3.09547329 3.09676695 3.09990644 3.10485172 3.1052382 3.10972977 3.11025858 3.11413503 3.11425424 3.11861014 3.12336969 3.12455368 3.12766838 3.12907743 3.13051367 3.13457775 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00155878067 0.00456440449 0.00714573264 0.0184205174 0.0241246223 0.0256450176 0.0374310315 0.0439019203 0.0572836399 0.0631417036 0.0711125135 0.0793466568 0.0867075324 0.0958988219 0.0975570679 0.103641033 0.117468268 0.126258612 0.137049794 0.142059803 0.147358134 0.154146671 0.156783819 0.168918759 0.177054703 0.179631233 0.187945485 0.200804353 0.20838356 0.211928219 0.231432199 0.241192788 0.244733274 0.25225383 0.259720504 0.267013073 0.268608779 0.278776169 0.280312538 0.286301672 0.29240346 0.301080972 0.307086468 0.317595422 0.324095488 0.329167843 0.333854198 0.340366602 0.348785818 0.354384184 0.36071825 0.367785811 0.374036551 0.378315926 0.383402109 0.389339447 0.400676608 0.403599441 0.408042371 0.414797187 0.420129061 0.424164027 0.426438808 0.430301756 0.437308311 0.442663431 0.451120108 0.459812641 0.460270345 0.464537174 0.472399354 0.479614556 0.482266426 0.489425272 0.492278963 0.495433837 0.502290249 0.511170626 0.517294645 0.522622228 0.523607016 0.524116755 0.530100942 0.531046987 0.544818282 0.545883536 0.553675175 0.556669593 0.56877768 0.583184481 0.60754025 0.640621364 0.667718887 0.707732081 0.712736487 0.717783749 0.753114939 0.802665472 0.883980572 1.02664518 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.211730883 0.223213226 0.23933284 0.261999637 0.304512054 0.328303099 0.370522827 0.395837247 0.403190911 0.406751275 0.40885365 0.412128896 0.415726483 0.417998016 0.420271277 0.42037943 0.422136545 0.424482107 0.426664919 0.430080146 0.433353364 0.43718946 0.439116269 0.441990733 0.444891751 0.4486112 0.451785862 0.454429388 0.456486702 0.45906347 0.461292773 0.463383883 0.465870559 0.468541563 0.471792996 0.472076088 0.474439859 0.477952778 0.480154634 0.483887672 0.486377656 0.48998028 0.494824857 0.497178733 0.499810934 0.500605464 0.50421536 0.507119358 0.510144711 0.513466001 0.516251862 0.520726323 0.52367115 0.524555743 0.527095199 0.530968189 0.535882592 0.539738655 0.544045806 0.54926008 0.551349044 0.557285964 0.56206727 0.565757871 0.568204999 0.571944058 0.576420546 0.580446362 0.581157923 0.585848689 0.591273308 0.593873143 0.596736968 0.601348102 0.609788775 0.616543055 0.62020278 0.627789259 0.634319246 0.634631395 0.64511025 0.659844875 0.660378098 0.678340912 0.679091871 0.692956746 0.702665389 0.705688953 0.725110769 0.730042458 0.745352507 0.748807192 0.762554526 0.771347404 0.790224433 0.823633194 0.859735429 0.872746587 0.992819548 1.04894686 ------------------------------ Transdef: Tab for variable 13 20.1110535 22.0215225 22.67066 23.0090599 23.2039051 23.965456 24.3370247 24.7531586 25.099968 25.6310558 26.0380783 26.8044796 27.3609505 27.4887733 27.7838974 28.3240356 28.6425705 28.7606449 28.8645916 29.1450977 29.2393703 29.5238075 29.7960281 29.9981403 30.3395576 30.4528236 30.5591202 30.8898411 31.0666351 31.4001732 31.8553772 32.0551186 32.1433563 32.6674042 33.0748596 33.0784836 33.3743935 33.8042107 33.9427605 34.4167137 34.7274551 34.7278175 35.0653381 35.3323631 35.7029533 36.1393509 36.3302193 36.473259 36.8762283 37.2743759 38.0882645 38.120079 38.4447021 38.5526009 38.8744888 39.5353928 39.5861053 40.2640839 40.9853134 41.1954956 41.5146408 41.9126129 42.4158936 42.6280365 42.7636147 43.1813774 43.5655327 43.9863892 44.5560036 45.1183891 45.7442932 46.473011 47.0888214 47.0935898 48.1216965 48.975544 49.9214134 50.4152412 51.2107887 51.9410973 52.7826958 53.4387436 54.6243324 54.9298172 55.1982727 55.4133987 55.5735779 56.5796165 57.8334808 58.946228 59.0761185 60.9982109 62.1041565 65.224762 66.4916306 69.3819962 69.5418701 72.8966675 77.6402283 91.997551 109.820335 ------------------------------ Transdef: Tab for variable 14 10.1157494 10.7198963 10.8527861 11.2473221 11.3939953 11.5348568 11.7239475 11.7285557 11.9684944 12.2893791 12.3014278 12.5889797 12.6787701 12.8032703 13.1459084 13.4346638 13.5385342 13.6256685 13.8012638 14.3878059 14.9929514 15.6372051 15.9308472 16.2356071 16.5989437 16.6953831 16.9229851 16.9561539 17.038723 17.4395218 17.8824558 18.1767349 18.250906 18.3144646 18.5586014 18.8635635 19.0790291 19.1677208 19.2108593 19.5041962 19.8759117 20.0875359 20.3763065 20.7148476 20.8069878 21.1074448 21.1968956 21.3212395 21.3351555 21.6041756 21.8394947 21.9334106 22.0504608 22.3281288 22.5633945 22.7943497 23.0004234 23.4242973 23.7061481 23.7103271 23.9669628 24.2740688 24.421175 24.6482277 24.9185524 25.1872864 25.4722805 25.7134609 25.9259796 26.1469841 26.5439148 26.8747978 27.4407158 27.7023354 27.980257 28.1298733 28.5068302 28.7600212 29.401123 29.7788315 29.9845409 30.3795471 31.2985783 31.9353828 32.5806503 33.4146576 33.9896469 34.1879425 34.2518005 34.713913 35.5662689 36.0739136 36.6043739 37.3415947 38.6878967 40.2138481 40.3298874 44.188385 47.7214851 47.9385986 65.4020844 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 0.9 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 47.6 13.0 35.2 30.8 43.1 38.7 41.8 45.3 -15.7 -2.1 -1.3 10.5 22.7 2 47.6 100.0 48.8 34.8 42.1 71.8 93.1 74.2 87.1 -41.9 -22.5 -32.9 47.0 28.6 3 13.0 48.8 100.0 5.5 19.1 32.9 45.8 42.4 63.1 6.7 -19.1 -30.7 88.4 1.4 4 35.2 34.8 5.5 100.0 14.8 24.7 32.4 34.6 39.6 -6.3 -31.8 -48.5 9.6 79.3 5 30.8 42.1 19.1 14.8 100.0 87.4 8.5 62.3 70.8 29.9 -1.8 4.6 13.6 8.3 6 43.1 71.8 32.9 24.7 87.4 100.0 45.5 83.5 86.9 1.7 -9.6 -7.7 27.8 17.3 7 38.7 93.1 45.8 32.4 8.5 45.5 100.0 59.4 68.4 -58.3 -24.2 -38.5 45.8 28.2 8 41.8 74.2 42.4 34.6 62.3 83.5 59.4 100.0 83.5 -3.6 -16.5 -23.9 38.4 25.3 9 45.3 87.1 63.1 39.6 70.8 86.9 68.4 83.5 100.0 -6.2 -21.5 -29.8 57.0 30.8 10 -15.7 -41.9 6.7 -6.3 29.9 1.7 -58.3 -3.6 -6.2 100.0 11.8 16.1 1.5 -10.8 11 -2.1 -22.5 -19.1 -31.8 -1.8 -9.6 -24.2 -16.5 -21.5 11.8 100.0 53.1 -15.9 -27.8 12 -1.3 -32.9 -30.7 -48.5 4.6 -7.7 -38.5 -23.9 -29.8 16.1 53.1 100.0 -30.5 -36.0 13 10.5 47.0 88.4 9.6 13.6 27.8 45.8 38.4 57.0 1.5 -15.9 -30.5 100.0 21.4 14 22.7 28.6 1.4 79.3 8.3 17.3 28.2 25.3 30.8 -10.8 -27.8 -36.0 21.4 100.0 TOTAL CORRELATION TO TARGET (diagonal) 112.522855 TOTAL CORRELATION OF ALL VARIABLES 60.6559241 ROUND 1: MAX CORR ( 60.614672) AFTER KILLING INPUT VARIABLE 6 CONTR 2.2366644 ROUND 2: MAX CORR ( 60.5688928) AFTER KILLING INPUT VARIABLE 13 CONTR 2.35535201 ROUND 3: MAX CORR ( 60.5216356) AFTER KILLING INPUT VARIABLE 3 CONTR 2.39215481 ROUND 4: MAX CORR ( 60.4466215) AFTER KILLING INPUT VARIABLE 11 CONTR 3.01236191 ROUND 5: MAX CORR ( 60.3595668) AFTER KILLING INPUT VARIABLE 9 CONTR 3.24295381 ROUND 6: MAX CORR ( 60.0585011) AFTER KILLING INPUT VARIABLE 8 CONTR 6.02110822 ROUND 7: MAX CORR ( 59.8143443) AFTER KILLING INPUT VARIABLE 10 CONTR 5.40996913 ROUND 8: MAX CORR ( 59.3791062) AFTER KILLING INPUT VARIABLE 5 CONTR 7.20260658 ROUND 9: MAX CORR ( 58.780042) AFTER KILLING INPUT VARIABLE 7 CONTR 8.4133766 ROUND 10: MAX CORR ( 57.8154855) AFTER KILLING INPUT VARIABLE 14 CONTR 10.6048565 ROUND 11: MAX CORR ( 51.6367836) AFTER KILLING INPUT VARIABLE 12 CONTR 26.0052482 ROUND 12: MAX CORR ( 47.6462609) AFTER KILLING INPUT VARIABLE 4 CONTR 19.9045535 LAST REMAINING VARIABLE: 2 total correlation to target: 60.6559241 % total significance: 19.9758384 sigma correlations of single variables to target: variable 2: 47.6462609 % , in sigma: 15.6913611 variable 3: 13.0209109 % , in sigma: 4.2881815 variable 4: 35.2392023 % , in sigma: 11.6053398 variable 5: 30.8307548 % , in sigma: 10.1535041 variable 6: 43.0609746 % , in sigma: 14.1812871 variable 7: 38.7069288 % , in sigma: 12.7473675 variable 8: 41.799828 % , in sigma: 13.7659531 variable 9: 45.2996835 % , in sigma: 14.9185619 variable 10: -15.6835009 % , in sigma: 5.16505328 variable 11: -2.07177252 % , in sigma: 0.682297629 variable 12: -1.25905182 % , in sigma: 0.41464401 variable 13: 10.4606495 % , in sigma: 3.44500966 variable 14: 22.7224586 % , in sigma: 7.48319588 variables sorted by significance: 1 most relevant variable 2 corr 47.6462593 , in sigma: 15.6913606 2 most relevant variable 4 corr 19.9045544 , in sigma: 6.55517441 3 most relevant variable 12 corr 26.005249 , in sigma: 8.56431849 4 most relevant variable 14 corr 10.6048565 , in sigma: 3.4925014 5 most relevant variable 7 corr 8.41337681 , in sigma: 2.77078056 6 most relevant variable 5 corr 7.20260668 , in sigma: 2.37203718 7 most relevant variable 10 corr 5.40996933 , in sigma: 1.78166724 8 most relevant variable 8 corr 6.02110815 , in sigma: 1.98293382 9 most relevant variable 9 corr 3.24295378 , in sigma: 1.06800319 10 most relevant variable 11 corr 3.012362 , in sigma: 0.992062317 11 most relevant variable 3 corr 2.39215469 , in sigma: 0.787809209 12 most relevant variable 13 corr 2.35535192 , in sigma: 0.77568894 13 most relevant variable 6 corr 2.2366643 , in sigma: 0.736601498 global correlations between input variables: variable 2: 99.4073449 % variable 3: 95.9831053 % variable 4: 88.4463546 % variable 5: 97.4999148 % variable 6: 97.1126931 % variable 7: 99.1917646 % variable 8: 90.5429367 % variable 9: 99.002486 % variable 10: 78.6941493 % variable 11: 55.8536779 % variable 12: 69.983796 % variable 13: 92.9187789 % variable 14: 87.7648536 % significance loss when removing single variables: variable 2: corr = 16.4922534 % , sigma = 5.43140006 variable 3: corr = 3.27652909 % , sigma = 1.07906056 variable 4: corr = 21.6318222 % , sigma = 7.12401617 variable 5: corr = 3.02099569 % , sigma = 0.994905652 variable 6: corr = 2.2366644 % , sigma = 0.736601534 variable 7: corr = 12.2933266 % , sigma = 4.04856591 variable 8: corr = 7.10664711 % , sigma = 2.34043478 variable 9: corr = 3.7630394 % , sigma = 1.23928319 variable 10: corr = 5.66536313 % , sigma = 1.86577618 variable 11: corr = 3.39104315 % , sigma = 1.11677352 variable 12: corr = 18.6938 % , sigma = 6.15643622 variable 13: corr = 2.44171335 % , sigma = 0.80413038 variable 14: corr = 6.01625839 % , sigma = 1.98133665 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 4.26926088 sigma out 15 active outputs RANK 2 NODE 2 --> 3.79169631 sigma out 15 active outputs RANK 3 NODE 4 --> 2.75288415 sigma out 15 active outputs RANK 4 NODE 3 --> 2.21869016 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 3.52327156 sigma in 4act. ( 3.20904613 sig out 1act.) RANK 2 NODE 14 --> 2.65530944 sigma in 4act. ( 3.86270356 sig out 1act.) RANK 3 NODE 2 --> 2.49641418 sigma in 4act. ( 2.57909679 sig out 1act.) RANK 4 NODE 3 --> 1.98989558 sigma in 4act. ( 1.63492417 sig out 1act.) RANK 5 NODE 7 --> 1.84404588 sigma in 4act. ( 2.36231399 sig out 1act.) RANK 6 NODE 5 --> 1.70792031 sigma in 4act. ( 1.65739191 sig out 1act.) RANK 7 NODE 11 --> 1.45485175 sigma in 4act. ( 1.6673547 sig out 1act.) RANK 8 NODE 6 --> 1.29539549 sigma in 4act. ( 1.41312861 sig out 1act.) RANK 9 NODE 13 --> 1.29291046 sigma in 4act. ( 1.44679451 sig out 1act.) RANK 10 NODE 4 --> 1.00236642 sigma in 4act. ( 0.928856432 sig out 1act.) RANK 11 NODE 8 --> 0.903185189 sigma in 4act. ( 0.846838236 sig out 1act.) RANK 12 NODE 12 --> 0.74320823 sigma in 4act. ( 0.336612552 sig out 1act.) RANK 13 NODE 10 --> 0.72656399 sigma in 4act. ( 0.136948138 sig out 1act.) RANK 14 NODE 1 --> 0.717072785 sigma in 4act. ( 0.620315492 sig out 1act.) RANK 15 NODE 15 --> 0.499938041 sigma in 4act. ( 0.525800288 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 3.86270356 sigma out 1act.( 2.65530944 sig in 4act.) RANK 2 NODE 9 --> 3.20904613 sigma out 1act.( 3.52327156 sig in 4act.) RANK 3 NODE 2 --> 2.57909679 sigma out 1act.( 2.49641418 sig in 4act.) RANK 4 NODE 7 --> 2.36231399 sigma out 1act.( 1.84404588 sig in 4act.) RANK 5 NODE 11 --> 1.6673547 sigma out 1act.( 1.45485175 sig in 4act.) RANK 6 NODE 5 --> 1.65739191 sigma out 1act.( 1.70792031 sig in 4act.) RANK 7 NODE 3 --> 1.63492417 sigma out 1act.( 1.98989558 sig in 4act.) RANK 8 NODE 13 --> 1.44679451 sigma out 1act.( 1.29291046 sig in 4act.) RANK 9 NODE 6 --> 1.41312861 sigma out 1act.( 1.29539549 sig in 4act.) RANK 10 NODE 4 --> 0.928856432 sigma out 1act.( 1.00236642 sig in 4act.) RANK 11 NODE 8 --> 0.846838236 sigma out 1act.( 0.903185189 sig in 4act.) RANK 12 NODE 1 --> 0.620315492 sigma out 1act.( 0.717072785 sig in 4act.) RANK 13 NODE 15 --> 0.525800288 sigma out 1act.( 0.499938041 sig in 4act.) RANK 14 NODE 12 --> 0.336612552 sigma out 1act.( 0.74320823 sig in 4act.) RANK 15 NODE 10 --> 0.136948138 sigma out 1act.( 0.72656399 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 7.21900988 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 14.3241968 sigma out 15 active outputs RANK 2 NODE 2 --> 13.7785788 sigma out 15 active outputs RANK 3 NODE 3 --> 6.47859907 sigma out 15 active outputs RANK 4 NODE 1 --> 5.5568347 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 8.61188602 sigma in 4act. ( 3.84091759 sig out 1act.) RANK 2 NODE 1 --> 8.168396 sigma in 4act. ( 2.49482608 sig out 1act.) RANK 3 NODE 2 --> 7.4698081 sigma in 4act. ( 6.3067708 sig out 1act.) RANK 4 NODE 15 --> 6.95550966 sigma in 4act. ( 2.11782837 sig out 1act.) RANK 5 NODE 14 --> 6.83574295 sigma in 4act. ( 4.70617294 sig out 1act.) RANK 6 NODE 7 --> 6.135602 sigma in 4act. ( 4.75347376 sig out 1act.) RANK 7 NODE 9 --> 6.02934027 sigma in 4act. ( 4.9202733 sig out 1act.) RANK 8 NODE 4 --> 5.92374945 sigma in 4act. ( 2.11983871 sig out 1act.) RANK 9 NODE 6 --> 5.7636466 sigma in 4act. ( 2.96934128 sig out 1act.) RANK 10 NODE 13 --> 4.04425812 sigma in 4act. ( 2.86071682 sig out 1act.) RANK 11 NODE 11 --> 3.29643583 sigma in 4act. ( 1.9664408 sig out 1act.) RANK 12 NODE 5 --> 2.36481643 sigma in 4act. ( 1.16207814 sig out 1act.) RANK 13 NODE 8 --> 0.92112726 sigma in 4act. ( 0.24110651 sig out 1act.) RANK 14 NODE 12 --> 0.341501862 sigma in 4act. ( 0.0722051263 sig out 1act.) RANK 15 NODE 10 --> 0.0415918566 sigma in 4act. ( 0.00698880432 sig out 1 act.) sorted by output significance RANK 1 NODE 2 --> 6.3067708 sigma out 1act.( 7.4698081 sig in 4act.) RANK 2 NODE 9 --> 4.9202733 sigma out 1act.( 6.02934027 sig in 4act.) RANK 3 NODE 7 --> 4.75347376 sigma out 1act.( 6.135602 sig in 4act.) RANK 4 NODE 14 --> 4.70617294 sigma out 1act.( 6.83574295 sig in 4act.) RANK 5 NODE 3 --> 3.84091759 sigma out 1act.( 8.61188602 sig in 4act.) RANK 6 NODE 6 --> 2.96934128 sigma out 1act.( 5.7636466 sig in 4act.) RANK 7 NODE 13 --> 2.86071682 sigma out 1act.( 4.04425812 sig in 4act.) RANK 8 NODE 1 --> 2.49482608 sigma out 1act.( 8.168396 sig in 4act.) RANK 9 NODE 4 --> 2.11983871 sigma out 1act.( 5.92374945 sig in 4act.) RANK 10 NODE 15 --> 2.11782837 sigma out 1act.( 6.95550966 sig in 4act.) RANK 11 NODE 11 --> 1.9664408 sigma out 1act.( 3.29643583 sig in 4act.) RANK 12 NODE 5 --> 1.16207814 sigma out 1act.( 2.36481643 sig in 4act.) RANK 13 NODE 8 --> 0.24110651 sigma out 1act.( 0.92112726 sig in 4act.) RANK 14 NODE 12 --> 0.0722051263 sigma out 1act.( 0.341501862 sig in 4act.) RANK 15 NODE 10 --> 0.00698880432 sigma out 1act.( 0.0415918566 sig in 4 act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.6872044 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.52669847 *** contribution from regularisation: 0.0452966653 *** contribution from error: -0.571995139 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.587467194 *** contribution from regularisation: 0.00587213412 *** contribution from error: -0.593339324 *********************************************** -----------------> Test sample ENTER BFGS code START -3016.56985 -0.619909763 -0.234009787 EXIT FROM BFGS code FG_START 0. -0.619909763 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.591268361 *** contribution from regularisation: 0.00427280739 *** contribution from error: -0.595541179 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3035.5719 -0.619909763 -2.3744545 EXIT FROM BFGS code FG_LNSRCH 0. -0.721863866 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.590287626 *** contribution from regularisation: 0.00814528205 *** contribution from error: -0.598432899 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3030.53653 -0.721863866 -0.735364556 EXIT FROM BFGS code FG_LNSRCH 0. -0.663490176 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.59274596 *** contribution from regularisation: 0.00733957719 *** contribution from error: -0.600085557 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3043.15763 -0.663490176 -1.03369772 EXIT FROM BFGS code NEW_X -3043.15763 -0.663490176 -1.03369772 ENTER BFGS code NEW_X -3043.15763 -0.663490176 -1.03369772 EXIT FROM BFGS code FG_LNSRCH 0. -0.677541375 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.593594015 *** contribution from regularisation: 0.00679644104 *** contribution from error: -0.600390434 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3047.51155 -0.677541375 -0.147464901 EXIT FROM BFGS code NEW_X -3047.51155 -0.677541375 -0.147464901 ENTER BFGS code NEW_X -3047.51155 -0.677541375 -0.147464901 EXIT FROM BFGS code FG_LNSRCH 0. -0.740280509 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.593987346 *** contribution from regularisation: 0.00586818997 *** contribution from error: -0.599855542 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3049.53101 -0.740280509 6.08333397 EXIT FROM BFGS code NEW_X -3049.53101 -0.740280509 6.08333397 ENTER BFGS code NEW_X -3049.53101 -0.740280509 6.08333397 EXIT FROM BFGS code FG_LNSRCH 0. -0.69093442 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.593382001 *** contribution from regularisation: 0.00531785609 *** contribution from error: -0.598699868 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3046.42332 -0.69093442 7.94230366 EXIT FROM BFGS code FG_LNSRCH 0. -0.734196365 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.590567768 *** contribution from regularisation: 0.00918771792 *** contribution from error: -0.599755466 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3031.97497 -0.734196365 5.64654255 EXIT FROM BFGS code FG_LNSRCH 0. -0.740241528 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 5.18245602 sigma out 15 active outputs RANK 2 NODE 2 --> 3.98534489 sigma out 15 active outputs RANK 3 NODE 4 --> 3.84772873 sigma out 15 active outputs RANK 4 NODE 3 --> 3.61794972 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 3.86164308 sigma in 4act. ( 3.70305514 sig out 1act.) RANK 2 NODE 2 --> 3.43328261 sigma in 4act. ( 2.36528873 sig out 1act.) RANK 3 NODE 3 --> 3.2014389 sigma in 4act. ( 2.02013683 sig out 1act.) RANK 4 NODE 7 --> 3.02194142 sigma in 4act. ( 2.21714234 sig out 1act.) RANK 5 NODE 14 --> 2.45252633 sigma in 4act. ( 1.56427288 sig out 1act.) RANK 6 NODE 1 --> 2.26870894 sigma in 4act. ( 1.09094822 sig out 1act.) RANK 7 NODE 6 --> 1.8940345 sigma in 4act. ( 1.14627564 sig out 1act.) RANK 8 NODE 15 --> 1.88178682 sigma in 4act. ( 0.828610301 sig out 1act.) RANK 9 NODE 4 --> 1.70884061 sigma in 4act. ( 0.930037141 sig out 1act.) RANK 10 NODE 13 --> 1.32168901 sigma in 4act. ( 0.805141628 sig out 1act.) RANK 11 NODE 11 --> 1.11409104 sigma in 4act. ( 0.815509558 sig out 1act.) RANK 12 NODE 5 --> 0.544141471 sigma in 4act. ( 0.100813657 sig out 1act.) RANK 13 NODE 8 --> 0.230710477 sigma in 4act. ( 0.142075911 sig out 1act.) RANK 14 NODE 12 --> 0.0781229362 sigma in 4act. ( 0.0128727425 sig out 1 act.) RANK 15 NODE 10 --> 0.0176567603 sigma in 4act. ( 0.0212564915 sig out 1 act.) sorted by output significance RANK 1 NODE 9 --> 3.70305514 sigma out 1act.( 3.86164308 sig in 4act.) RANK 2 NODE 2 --> 2.36528873 sigma out 1act.( 3.43328261 sig in 4act.) RANK 3 NODE 7 --> 2.21714234 sigma out 1act.( 3.02194142 sig in 4act.) RANK 4 NODE 3 --> 2.02013683 sigma out 1act.( 3.2014389 sig in 4act.) RANK 5 NODE 14 --> 1.56427288 sigma out 1act.( 2.45252633 sig in 4act.) RANK 6 NODE 6 --> 1.14627564 sigma out 1act.( 1.8940345 sig in 4act.) RANK 7 NODE 1 --> 1.09094822 sigma out 1act.( 2.26870894 sig in 4act.) RANK 8 NODE 4 --> 0.930037141 sigma out 1act.( 1.70884061 sig in 4act.) RANK 9 NODE 15 --> 0.828610301 sigma out 1act.( 1.88178682 sig in 4act.) RANK 10 NODE 11 --> 0.815509558 sigma out 1act.( 1.11409104 sig in 4act.) RANK 11 NODE 13 --> 0.805141628 sigma out 1act.( 1.32168901 sig in 4act.) RANK 12 NODE 8 --> 0.142075911 sigma out 1act.( 0.230710477 sig in 4act.) RANK 13 NODE 5 --> 0.100813657 sigma out 1act.( 0.544141471 sig in 4act.) RANK 14 NODE 10 --> 0.0212564915 sigma out 1act.( 0.0176567603 sig in 4act.) RANK 15 NODE 12 --> 0.0128727425 sigma out 1act.( 0.0781229362 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 6.01255226 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.594593525 *** contribution from regularisation: 0.00526146404 *** contribution from error: -0.599855006 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3052.64331 -0.740241528 7.53202724 EXIT FROM BFGS code FG_LNSRCH 0. -0.740199327 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.591536283 *** contribution from regularisation: 0.00831783749 *** contribution from error: -0.599854112 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3036.94734 -0.740199327 5.99175501 EXIT FROM BFGS code FG_LNSRCH 0. -0.740241528 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.594152451 *** contribution from regularisation: 0.0057025589 *** contribution from error: -0.599855006 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3050.37873 -0.740241528 6.71957731 EXIT FROM BFGS code NEW_X -3050.37873 -0.740241528 6.71957731 ENTER BFGS code NEW_X -3050.37873 -0.740241528 6.71957731 EXIT FROM BFGS code FG_LNSRCH 0. -0.479055494 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.592349052 *** contribution from regularisation: 0.00408214377 *** contribution from error: -0.596431196 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3041.11991 -0.479055494 1.37859261 EXIT FROM BFGS code FG_LNSRCH 0. -0.697500288 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.589250743 *** contribution from regularisation: 0.0107378252 *** contribution from error: -0.59998858 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3025.2134 -0.697500288 2.83851457 EXIT FROM BFGS code FG_LNSRCH 0. -0.739405096 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.595255315 *** contribution from regularisation: 0.00460576359 *** contribution from error: -0.599861085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3056.04089 -0.739405096 7.43308973 EXIT FROM BFGS code FG_LNSRCH 0. -0.738667071 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.592457473 *** contribution from regularisation: 0.00740878191 *** contribution from error: -0.599866271 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3041.67654 -0.738667071 5.94514036 EXIT FROM BFGS code FG_LNSRCH 0. -0.739404559 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.593703687 *** contribution from regularisation: 0.00615739776 *** contribution from error: -0.599861085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3048.07482 -0.739404559 6.48110151 EXIT FROM BFGS code FG_LNSRCH 0. -0.739405096 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.593643844 *** contribution from regularisation: 0.00621725852 *** contribution from error: -0.599861085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3047.76747 -0.739405096 6.75914383 EXIT FROM BFGS code NEW_X -3047.76747 -0.739405096 6.75914383 ENTER BFGS code NEW_X -3047.76747 -0.739405096 6.75914383 EXIT FROM BFGS code CONVERGENC -3047.76747 -0.739405096 6.75914383 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 8.97663879 sigma out 15 active outputs RANK 2 NODE 4 --> 6.3444519 sigma out 15 active outputs RANK 3 NODE 2 --> 6.27232552 sigma out 15 active outputs RANK 4 NODE 3 --> 5.91382027 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 7.04176807 sigma in 4act. ( 6.34849072 sig out 1act.) RANK 2 NODE 2 --> 5.8834672 sigma in 4act. ( 4.32020903 sig out 1act.) RANK 3 NODE 3 --> 5.35123301 sigma in 4act. ( 3.56966424 sig out 1act.) RANK 4 NODE 7 --> 5.12889194 sigma in 4act. ( 4.07736921 sig out 1act.) RANK 5 NODE 14 --> 4.00468874 sigma in 4act. ( 2.43346429 sig out 1act.) RANK 6 NODE 1 --> 3.29933333 sigma in 4act. ( 1.82551312 sig out 1act.) RANK 7 NODE 6 --> 2.9275043 sigma in 4act. ( 1.84594333 sig out 1act.) RANK 8 NODE 15 --> 2.66030526 sigma in 4act. ( 1.33880258 sig out 1act.) RANK 9 NODE 4 --> 2.5250628 sigma in 4act. ( 1.43427217 sig out 1act.) RANK 10 NODE 13 --> 1.93920588 sigma in 4act. ( 1.15263283 sig out 1act.) RANK 11 NODE 11 --> 1.64491117 sigma in 4act. ( 1.05574083 sig out 1act.) RANK 12 NODE 5 --> 0.702331424 sigma in 4act. ( 0.12099611 sig out 1act.) RANK 13 NODE 8 --> 0.296502918 sigma in 4act. ( 0.152509704 sig out 1act.) RANK 14 NODE 12 --> 0.100431055 sigma in 4act. ( 0.0136631886 sig out 1act.) RANK 15 NODE 10 --> 0.0206453204 sigma in 4act. ( 0.0222901683 sig out 1 act.) sorted by output significance RANK 1 NODE 9 --> 6.34849072 sigma out 1act.( 7.04176807 sig in 4act.) RANK 2 NODE 2 --> 4.32020903 sigma out 1act.( 5.8834672 sig in 4act.) RANK 3 NODE 7 --> 4.07736921 sigma out 1act.( 5.12889194 sig in 4act.) RANK 4 NODE 3 --> 3.56966424 sigma out 1act.( 5.35123301 sig in 4act.) RANK 5 NODE 14 --> 2.43346429 sigma out 1act.( 4.00468874 sig in 4act.) RANK 6 NODE 6 --> 1.84594333 sigma out 1act.( 2.9275043 sig in 4act.) RANK 7 NODE 1 --> 1.82551312 sigma out 1act.( 3.29933333 sig in 4act.) RANK 8 NODE 4 --> 1.43427217 sigma out 1act.( 2.5250628 sig in 4act.) RANK 9 NODE 15 --> 1.33880258 sigma out 1act.( 2.66030526 sig in 4act.) RANK 10 NODE 13 --> 1.15263283 sigma out 1act.( 1.93920588 sig in 4act.) RANK 11 NODE 11 --> 1.05574083 sigma out 1act.( 1.64491117 sig in 4act.) RANK 12 NODE 8 --> 0.152509704 sigma out 1act.( 0.296502918 sig in 4act.) RANK 13 NODE 5 --> 0.12099611 sigma out 1act.( 0.702331424 sig in 4act.) RANK 14 NODE 10 --> 0.0222901683 sigma out 1act.( 0.0206453204 sig in 4act.) RANK 15 NODE 12 --> 0.0136631886 sigma out 1act.( 0.100431055 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.3599224 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.592418253 *** contribution from regularisation: 0.00744285202 *** contribution from error: -0.599861085 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done