NNInput NNInputs_165.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= 11919 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 = 3152 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 3152 Chosen entries: 3152 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.35953 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 3152 Entries to split: 3152 Test with : 1576 Train with : 1576 ********************************************* * 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= 3152 for Signal Prepared event 0 for Signal with 3152 events ====Entry 0 Variable Ht : 113.797 Variable LepAPt : 35.895 Variable LepBPt : 24.2481 Variable MetSigLeptonsJets : 6.91838 Variable MetSpec : 53.6534 Variable SumEtLeptonsJets : 60.1431 Variable VSumJetLeptonsPt : 59.7386 Variable addEt : 113.797 Variable dPhiLepSumMet : 3.11707 Variable dPhiLeptons : 0.236583 Variable dRLeptons : 0.420487 Variable lep1_E : 45.2363 Variable lep2_E : 39.0191 ===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 = 2165 Ht = 113.797 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 35.8951 LepAPt = 35.895 LepBEt = 24.2483 LepBPt = 24.2481 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 53.6534 MetDelPhi = 3.02179 MetSig = 4.34037 MetSigLeptonsJets = 6.91838 MetSpec = 53.6534 Mjj = 0 MostCentralJetEta = 0 MtllMet = 125.073 Njets = 0 SB = 0 SumEt = 152.806 SumEtJets = 0 SumEtLeptonsJets = 60.1431 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 59.7386 addEt = 113.797 dPhiLepSumMet = 3.11707 dPhiLeptons = 0.236583 dRLeptons = 0.420487 diltype = 44 dimass = 12.4421 event = 2738 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 45.2363 lep2_E = 39.0191 rand = 0.999742 run = 237227 weight = 2.63351e-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 = 3.90369 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 306 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 11919 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 306 negative weights. Signal fraction: 70.7529449 % ------------------------------ 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 56.5035744 67.2503815 68.3614502 68.583252 70.2056885 72.6087646 73.4086914 73.9544678 75.5274887 76.3294601 79.2342758 79.6417618 79.7868118 81.2958221 81.3008423 83.3123169 85.7635574 88.4401093 89.2325592 89.7282562 91.1770477 91.6173019 91.9643707 92.4397812 94.7669525 95.2108459 95.6003036 96.0550995 96.6403046 97.1765747 97.2866974 99.2471771 100.225662 101.222946 102.949623 104.487656 105.59967 107.231483 108.640991 110.178238 110.198822 111.172668 112.486603 113.517197 115.122009 116.503914 117.687851 118.828934 119.789719 121.016785 121.022415 122.080444 123.326752 124.666977 125.824738 127.008591 128.374496 129.391205 130.540466 131.990387 133.370178 134.635986 136.070206 137.339523 138.124695 139.793121 140.863678 141.965164 143.204666 144.865372 145.794434 147.139648 148.698059 150.728043 152.366821 153.506302 156.001068 156.303223 157.470917 159.648544 162.007538 164.037003 166.221893 168.475311 171.796844 174.989594 177.457672 181.396637 185.5121 189.118195 195.441315 201.630508 207.24501 215.51268 221.648438 228.42421 236.606812 247.515579 262.13269 290.233185 573.297485 ------------------------------ Transdef: Tab for variable 3 20.0047188 20.7089024 21.387867 21.4172821 21.5828819 21.906599 22.0080643 22.4293976 22.845932 23.2048359 23.2327805 23.5894871 23.7371216 23.7405415 24.0379314 24.4450569 24.7887707 25.1416359 25.593998 25.6739464 26.0568924 26.3131561 26.5993195 26.8496857 26.9992046 27.1243458 27.2900162 27.543478 27.6138134 27.637104 27.7618637 27.925457 28.0914059 28.2841225 28.5582676 28.5658741 28.8202133 29.1258144 29.3304157 29.594614 29.8377476 30.1094894 30.3686981 30.5453396 30.5681114 30.6203136 30.8397961 31.0000381 31.0215397 31.252533 31.5137768 31.7461815 32.0473404 32.118763 32.3543777 32.5588531 32.8002243 33.0170784 33.2393265 33.4890175 33.6881409 33.8320999 34.1345215 34.1730194 34.5610962 34.8877716 35.1821136 35.5086861 35.7166862 35.9647255 36.1557007 36.353447 36.6465683 36.9459915 37.2215996 37.4358368 37.5641212 37.8064613 37.986969 38.3373375 38.746254 39.309761 39.7865295 40.0717621 40.717865 41.2501755 41.679718 42.2675247 43.1153412 43.8150482 44.5184631 45.3680496 45.9360275 46.0851898 47.0810852 48.0035477 49.3887177 50.9230385 55.2954636 65.2041626 86.3822861 ------------------------------ Transdef: Tab for variable 4 10.0103779 10.0456629 10.2848091 10.3762302 10.3784351 10.4894867 10.7214241 10.8840809 10.9949703 11.2308311 11.2993736 11.3841448 11.42062 11.4814644 11.686574 11.7535744 11.9823675 12.187706 12.29179 12.3527546 12.5547867 12.8363018 13.0528994 13.3247299 13.4774027 13.4957876 13.5965185 13.6657906 13.8090801 13.8747358 13.9560452 14.1804562 14.1815281 14.4096584 14.6186504 14.9182224 15.1419697 15.3661976 15.3669386 15.5575333 15.8545628 15.8715467 16.1635513 16.464653 16.5918274 16.7285919 16.7325401 17.02244 17.3387947 17.6522293 18.0220566 18.3273144 18.7536507 19.0908356 19.5177441 19.8918266 20.133049 20.3569946 20.5501442 20.8299942 21.0625153 21.1510601 21.2179413 21.4207668 21.5988007 21.7819386 21.99123 22.1901436 22.4184017 22.707695 22.9798584 23.280302 23.4358673 23.5937595 23.7860489 24.1214104 24.2938213 24.4744072 24.7766361 25.0822582 25.3426914 25.6211319 25.9161606 26.1662903 26.4758663 26.8636131 27.1450634 27.4361057 27.7433796 28.0894051 28.4145641 28.9352036 29.512352 29.888443 30.5513287 30.8647652 31.2725906 32.2424622 33.0132599 34.2320366 36.9816208 ------------------------------ Transdef: Tab for variable 5 2.3146708 3.0609746 3.23005819 3.30142355 3.60300159 3.91696048 4.18857098 4.44449568 4.59323215 4.61360741 4.70271015 4.73721027 4.90205193 5.06583405 5.13798237 5.15498495 5.21285343 5.37318039 5.52590895 5.64724684 5.74744225 5.82491493 5.83777142 5.83799124 5.95266008 6.04392958 6.10187674 6.10445309 6.17908716 6.19104671 6.20984459 6.25648975 6.26733875 6.33960104 6.42709541 6.48770952 6.50336456 6.59121895 6.66057348 6.72920752 6.7916708 6.8482213 6.9146142 6.95768166 6.96696758 7.00581264 7.04408932 7.06774902 7.15926933 7.21759415 7.24642372 7.25822783 7.29211664 7.29641294 7.33134604 7.40166473 7.44561672 7.50120926 7.50165939 7.5538435 7.59449196 7.64110565 7.69033718 7.73395205 7.81744957 7.87130356 7.94904327 8.00045109 8.04824638 8.11709881 8.15968513 8.20597839 8.25520802 8.30897903 8.35837936 8.42768288 8.47411919 8.54211998 8.6135807 8.72450829 8.73447704 8.77469254 8.84213066 8.92266369 8.99018097 9.09404373 9.1429882 9.25159264 9.35600948 9.47066498 9.60631752 9.76601887 9.96038342 10.1054068 10.2827721 10.5293732 10.7250719 11.0894318 11.5206757 12.2823792 16.2588177 ------------------------------ Transdef: Tab for variable 6 25.0152855 27.177084 27.279274 29.3471088 29.8966026 31.2916927 31.3030357 31.8920517 33.4016342 34.7839203 34.8443909 34.8487968 35.8634796 35.9221649 36.4730339 36.7408714 37.4912491 37.818058 37.8193436 38.0346718 38.3478355 39.4009247 39.8016052 40.1587296 40.6014557 41.7325287 42.7746124 42.8748093 43.7525864 43.757782 44.4644394 45.4368057 46.1650314 46.7303848 46.8164062 47.1616898 47.8709869 48.1207428 48.5087738 49.1174812 49.2183456 49.6253281 50.1316452 50.4227028 50.8221741 51.6305008 52.4335175 53.0544891 53.7041702 54.2120781 54.8556099 55.4583054 55.9345169 56.5968323 57.1316986 57.9624405 58.7107849 59.1932602 59.995636 60.5909119 61.1270447 61.6997452 62.2935028 63.0506287 63.8716965 64.5890503 65.4075089 65.9200134 66.5732803 67.2236252 67.8186188 68.6216431 69.3985901 70.1942368 70.779335 71.605423 72.6182556 73.6503983 74.614975 75.4751434 76.4378967 77.492691 77.529953 78.3735504 79.539505 80.4874115 82.1138306 83.08992 84.9955902 86.4547806 88.4180374 90.4970551 93.7177887 95.7602692 99.5043411 103.181351 106.801666 110.980415 115.889999 129.03569 246.541672 ------------------------------ Transdef: Tab for variable 7 30.3449535 32.4570236 34.7238617 35.9276581 36.5645714 36.8697052 37.0686226 37.5044746 37.6867256 38.0292206 38.3010254 38.5389633 39.9560356 40.978508 41.4800186 41.9644661 42.0072365 43.1633568 43.495945 44.0488892 44.7852211 45.149189 45.1730881 45.4374924 45.476738 45.9886475 46.3192329 47.4049225 48.3213844 48.967186 49.7996025 50.7102013 51.6663704 52.34972 52.9773941 53.8339005 54.5634918 55.1573715 55.9625549 56.0752258 56.6779976 57.4043427 58.2445679 59.0997238 59.7686806 60.1586113 60.2850723 60.971096 61.3168716 61.6013947 62.6292381 63.4626732 64.0497284 64.8339844 65.7267914 66.4417877 67.0897064 67.896965 68.4835892 69.3900146 70.2240448 71.2816315 71.9976349 72.1472168 72.8023987 73.8099518 74.7501526 76.7075958 77.5907135 78.7701492 78.7901764 80.2035217 81.6196365 83.1620026 84.4848862 86.1973495 87.6636276 89.3551407 90.678093 91.6286011 92.0869904 93.6388397 95.0120697 97.1483459 98.7944031 101.277084 102.793678 105.696854 108.37468 112.191505 113.838188 116.354141 121.03093 124.151428 128.395813 133.882599 140.970306 149.543579 162.960083 188.403564 321.09787 ------------------------------ Transdef: Tab for variable 8 5.88861227 28.2995682 29.6773834 32.2980461 32.9853592 33.7766647 33.9003448 34.4473228 35.6482506 36.4105835 36.5236702 36.6059074 36.609726 36.8693161 36.8976059 37.0720253 37.3049088 38.0464096 38.7415962 39.4328423 40.4264526 40.8082657 41.2147293 41.2151718 41.8140335 41.8976669 42.6258659 43.1777077 43.6854401 43.7301483 43.8631783 44.1596527 44.2777328 44.5512772 45.1749878 45.1793671 45.5823021 46.5170441 46.9077377 47.4862061 48.2123108 48.4456024 48.6449051 49.2048569 50.0613899 50.6765442 51.1468925 51.6565742 52.2298241 52.8323364 53.275589 53.8858414 53.9539185 54.3407631 54.8297729 55.3155975 56.0941162 56.5826492 57.2657013 57.8344536 58.3281708 59.0532303 59.5667839 60.2593155 60.875 61.3161621 61.807312 62.5158005 63.0992928 63.5290909 64.1881027 65.0719757 65.6665497 66.1874161 66.7959442 67.5642166 68.3532257 68.9181824 69.8093109 70.8932648 71.6570129 72.4728622 73.2073059 74.5723801 76.0452271 77.0680084 78.4530487 78.6099625 80.0337448 81.8573151 84.222435 85.9227219 89.0147095 91.973587 95.2514038 98.7035065 104.023132 108.794739 116.827667 129.583267 252.377121 ------------------------------ Transdef: Tab for variable 9 56.5035744 67.2503815 68.3066864 68.3614502 70.2056885 71.9299393 71.9371262 73.4309464 73.9544678 74.5056229 75.2135315 75.5441589 77.0081024 77.0189514 78.8943329 79.6417618 79.7740021 79.7868118 79.9798813 81.3008423 81.772934 83.4344635 84.9191895 86.8721466 88.5243378 89.2325592 89.3442841 90.0917587 91.114357 91.6118622 91.9643707 91.9674072 93.234024 94.7054367 95.1994629 95.6003036 95.7009583 96.9594803 98.1773834 99.4994888 100.699181 101.937408 103.05542 104.135826 104.805229 106.085846 107.043961 107.996979 108.977646 110.066261 110.177307 110.856834 111.525726 112.364258 113.287155 113.944435 114.709396 115.811485 116.658928 117.56752 118.441238 119.180603 119.810951 120.848236 121.672539 122.371025 123.587799 124.708023 125.697144 126.432114 127.196228 128.280319 129.224915 130.360107 131.25882 132.638168 133.427612 134.247192 135.385239 136.851974 137.987228 139.501022 140.259888 141.137146 142.576416 143.587982 145.354736 146.508057 148.175659 150.022614 152.379852 154.198303 155.995789 156.321594 158.595978 160.166656 164.533371 168.504837 174.98909 185.287964 304.369812 ------------------------------ Transdef: Tab for variable 10 0.323437154 1.14843202 1.42797995 1.62393999 1.85670042 1.89655876 1.93779254 2.01584959 2.09603453 2.15877008 2.2121644 2.24167752 2.26428318 2.31569719 2.34556389 2.40478015 2.46197844 2.49435663 2.52237272 2.56243372 2.59077525 2.61218762 2.61236 2.61862826 2.63257599 2.65501547 2.67969513 2.70641136 2.72756958 2.74812841 2.76286507 2.77740431 2.78799725 2.80042028 2.81680393 2.82506704 2.83372211 2.84534216 2.85361671 2.86714983 2.87193346 2.87624216 2.88694334 2.89631486 2.89653301 2.90243816 2.9122448 2.92099333 2.93272567 2.94351768 2.95132375 2.96131134 2.96579027 2.96952105 2.97684717 2.98534822 2.98909712 2.99616408 3.00283527 3.00286674 3.00922918 3.01607275 3.02083969 3.02652407 3.02821016 3.03190041 3.03689218 3.04150224 3.04206514 3.0464015 3.05347466 3.05857086 3.06284523 3.06286311 3.06648397 3.07047343 3.07616234 3.08123302 3.08498383 3.08924699 3.09393787 3.09482193 3.09622383 3.10063362 3.10525894 3.10526729 3.10919952 3.10970306 3.11294842 3.11573219 3.11844969 3.11861324 3.12170291 3.12455082 3.12539673 3.12978601 3.13051844 3.13377857 3.13386059 3.13663244 3.14155436 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.0149669647 0.0234248638 0.0264829993 0.0346192122 0.0465495586 0.0596140623 0.068082571 0.0767189264 0.0846898556 0.0939865708 0.103349864 0.113159537 0.123726219 0.133423805 0.137175471 0.14198637 0.142066717 0.148033023 0.154055119 0.154561073 0.167018235 0.178270459 0.179656029 0.184742212 0.19600445 0.203461587 0.212320209 0.213449121 0.219905376 0.231219485 0.243751466 0.255120993 0.26405108 0.271511674 0.278806686 0.27890873 0.285296679 0.285751939 0.293244302 0.300240099 0.309954226 0.317309201 0.325957865 0.331552446 0.337872326 0.340007782 0.344866693 0.3515203 0.35782522 0.363715231 0.366931915 0.373372316 0.37861377 0.385473013 0.386708617 0.389252186 0.394110799 0.400757164 0.405787945 0.410259634 0.414824367 0.419820011 0.424677074 0.426438808 0.429212362 0.433733851 0.438708425 0.445308536 0.453346848 0.459053189 0.467597723 0.477112472 0.484529674 0.493360519 0.501677275 0.509517252 0.516629875 0.522607684 0.525833368 0.530208528 0.532494903 0.534357071 0.543585956 0.549897194 0.562395215 0.575913668 0.579622626 0.59135139 0.609684706 0.630922258 0.66266799 0.667718887 0.687065244 0.712501824 0.717703879 0.727539361 0.78015554 0.863814354 0.883565843 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.200248539 0.211730883 0.229011357 0.306726336 0.336134493 0.402505398 0.404692709 0.406511068 0.408308625 0.409346223 0.411851883 0.413745135 0.41625911 0.419239521 0.421060145 0.423173636 0.42569232 0.428809762 0.4303931 0.432897627 0.43498528 0.437259316 0.441354364 0.444082618 0.446625471 0.448611557 0.451894224 0.455451429 0.458192348 0.460799545 0.46354714 0.466721594 0.469658911 0.471791148 0.472306728 0.476319522 0.47848317 0.481739998 0.484494567 0.487789571 0.491190016 0.494492203 0.497396857 0.500605464 0.501145005 0.504253745 0.509008884 0.512510836 0.517713845 0.520209193 0.523968101 0.529398084 0.53390789 0.539338231 0.543373346 0.546679795 0.551662445 0.552379608 0.555017233 0.560365379 0.564822674 0.569858074 0.576620042 0.57728076 0.580644727 0.586769104 0.592823267 0.593873143 0.595390558 0.59593308 0.604761004 0.609848022 0.618152261 0.620240092 0.622461557 0.630353212 0.636411369 0.643693805 0.652798593 0.661520004 0.673645735 0.685446978 0.689956188 0.692997217 0.700521171 0.714646399 0.725089431 0.730724692 0.743054271 0.748844862 0.750807762 0.770268917 0.771338284 0.771817386 0.795930326 0.826964498 0.878991306 0.919063091 0.990198195 1.13453126 ------------------------------ Transdef: Tab for variable 13 20.1111794 22.0931244 23.0003052 23.1706581 23.7519665 23.7956066 24.3110046 24.4333 24.4355125 24.9567337 25.5407257 26.2729454 26.7923717 27.0688763 27.3609505 27.4967995 27.848423 27.8597736 28.1973114 28.5798931 29.0216751 29.2354164 29.4494972 29.7965469 29.7968845 30.1368637 30.4497261 30.5512238 30.5606747 30.8320484 30.9187355 31.1495857 31.5948143 31.9297066 32.2269249 32.4699554 32.7642403 33.0786591 33.0999069 33.4861984 33.7754974 33.8054276 34.0149994 34.3170471 34.4432983 34.653923 34.8653564 35.1111526 35.3846626 35.4966202 35.7597466 36.0749741 36.3483276 36.5998993 36.8324471 37.2265091 37.2510834 37.2743034 37.396244 37.7221527 38.0961838 38.1301765 38.5240097 38.7687378 39.073349 39.3561134 39.6709747 40.0893707 40.3736534 40.8085098 41.4084854 41.9127846 42.27771 42.8476677 43.3658562 43.7517166 44.2160378 44.8293152 45.334404 45.8829041 46.3684502 47.1094894 47.648819 48.2168579 48.7635155 49.36689 50.2753677 51.192543 52.3587456 53.842453 54.9298172 55.3973846 55.7563019 57.2960434 58.8833542 61.3941078 63.6824417 66.5413666 69.4712906 71.9771042 109.820335 ------------------------------ Transdef: Tab for variable 14 10.0789509 10.6793728 11.2393131 11.3127441 11.3961935 11.4955502 11.7239475 11.7281876 12.218153 12.2199268 12.2994137 12.4186077 12.6794376 12.6838741 12.8196821 13.2685814 13.4798031 13.540267 13.6960182 13.934041 14.3885384 14.8350735 15.3670464 15.7112017 16.0565205 16.5295105 16.5991058 16.9290771 16.9334297 17.3208961 17.6941261 18.1371765 18.401722 18.6412373 18.7892532 19.080328 19.2136307 19.4117813 19.8143501 20.1111813 20.5356407 20.5870476 20.7748756 21.1772518 21.1968956 21.3986664 21.6817284 21.9303589 22.1687698 22.4401093 22.6632423 22.9719467 23.3094273 23.6440163 23.7769585 24.104908 24.3969727 24.6140785 24.8563995 25.2720737 25.2727623 25.4636726 25.7441559 25.7928848 25.9955406 26.3909302 26.7477112 27.0740547 27.2996864 27.5809898 27.8672428 28.2283058 28.3709373 28.7405243 29.072052 29.4269714 30.1036415 30.4930992 30.9166451 31.1530647 31.5056877 31.9605293 32.5361176 32.9235382 33.3561401 33.9175644 34.2121849 34.3904114 34.9511414 35.5023346 36.058754 36.6752777 37.7444801 38.539093 39.7680435 41.2055359 42.66465 44.1784935 46.3108597 49.6889343 63.3097 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 54.9 23.1 47.9 33.3 47.5 48.8 47.7 53.4 -20.7 -16.4 -12.8 24.6 43.0 2 54.9 100.0 42.9 48.8 44.5 76.5 93.7 80.5 88.4 -40.9 -25.1 -29.9 41.4 41.7 3 23.1 42.9 100.0 18.4 9.4 25.9 44.9 37.8 53.1 1.6 -19.7 -28.4 86.2 14.0 4 47.9 48.8 18.4 100.0 29.7 42.5 43.7 49.5 57.2 -3.1 -29.7 -51.5 22.0 82.0 5 33.3 44.5 9.4 29.7 100.0 87.3 13.1 58.5 72.1 26.7 -4.2 1.4 7.1 23.1 6 47.5 76.5 25.9 42.5 87.3 100.0 52.6 82.3 90.2 -0.3 -12.2 -10.1 23.7 34.8 7 48.8 93.7 44.9 43.7 13.1 52.6 100.0 70.0 71.8 -55.4 -27.2 -35.7 43.8 38.3 8 47.7 80.5 37.8 49.5 58.5 82.3 70.0 100.0 85.5 -12.0 -22.6 -31.0 35.9 42.2 9 53.4 88.4 53.1 57.2 72.1 90.2 71.8 85.5 100.0 -8.6 -23.6 -29.5 48.5 46.6 10 -20.7 -40.9 1.6 -3.1 26.7 -0.3 -55.4 -12.0 -8.6 100.0 12.1 16.2 -2.1 -3.7 11 -16.4 -25.1 -19.7 -29.7 -4.2 -12.2 -27.2 -22.6 -23.6 12.1 100.0 50.8 -15.9 -27.1 12 -12.8 -29.9 -28.4 -51.5 1.4 -10.1 -35.7 -31.0 -29.5 16.2 50.8 100.0 -24.4 -37.6 13 24.6 41.4 86.2 22.0 7.1 23.7 43.8 35.9 48.5 -2.1 -15.9 -24.4 100.0 34.1 14 43.0 41.7 14.0 82.0 23.1 34.8 38.3 42.2 46.6 -3.7 -27.1 -37.6 34.1 100.0 TOTAL CORRELATION TO TARGET (diagonal) 141.55227 TOTAL CORRELATION OF ALL VARIABLES 64.9900166 ROUND 1: MAX CORR ( 64.9879991) AFTER KILLING INPUT VARIABLE 13 CONTR 0.51208583 ROUND 2: MAX CORR ( 64.9670263) AFTER KILLING INPUT VARIABLE 6 CONTR 1.65091455 ROUND 3: MAX CORR ( 64.9031679) AFTER KILLING INPUT VARIABLE 14 CONTR 2.8798113 ROUND 4: MAX CORR ( 64.8332275) AFTER KILLING INPUT VARIABLE 7 CONTR 3.01227578 ROUND 5: MAX CORR ( 64.6593803) AFTER KILLING INPUT VARIABLE 11 CONTR 4.74467461 ROUND 6: MAX CORR ( 64.4408619) AFTER KILLING INPUT VARIABLE 8 CONTR 5.31138204 ROUND 7: MAX CORR ( 63.6627591) AFTER KILLING INPUT VARIABLE 10 CONTR 9.98387613 ROUND 8: MAX CORR ( 62.3816713) AFTER KILLING INPUT VARIABLE 9 CONTR 12.7072414 ROUND 9: MAX CORR ( 62.25692) AFTER KILLING INPUT VARIABLE 5 CONTR 3.94319863 ROUND 10: MAX CORR ( 62.1340055) AFTER KILLING INPUT VARIABLE 3 CONTR 3.91017277 ROUND 11: MAX CORR ( 59.986663) AFTER KILLING INPUT VARIABLE 12 CONTR 16.1936685 ROUND 12: MAX CORR ( 54.9160594) AFTER KILLING INPUT VARIABLE 4 CONTR 24.1376502 LAST REMAINING VARIABLE: 2 total correlation to target: 64.9900166 % total significance: 30.6727346 sigma correlations of single variables to target: variable 2: 54.9160594 % , in sigma: 25.9182226 variable 3: 23.105775 % , in sigma: 10.9050181 variable 4: 47.8666267 % , in sigma: 22.5911673 variable 5: 33.3158841 % , in sigma: 15.7237884 variable 6: 47.5076753 % , in sigma: 22.4217563 variable 7: 48.7728142 % , in sigma: 23.0188522 variable 8: 47.7150899 % , in sigma: 22.5196479 variable 9: 53.4231993 % , in sigma: 25.2136512 variable 10: -20.6926738 % , in sigma: 9.76612906 variable 11: -16.4447345 % , in sigma: 7.76126864 variable 12: -12.7798894 % , in sigma: 6.0316057 variable 13: 24.6039411 % , in sigma: 11.6120936 variable 14: 43.0395465 % , in sigma: 20.312975 variables sorted by significance: 1 most relevant variable 2 corr 54.9160576 , in sigma: 25.9182217 2 most relevant variable 4 corr 24.1376495 , in sigma: 11.3920223 3 most relevant variable 12 corr 16.1936684 , in sigma: 7.64277527 4 most relevant variable 3 corr 3.9101727 , in sigma: 1.8454479 5 most relevant variable 5 corr 3.94319868 , in sigma: 1.86103486 6 most relevant variable 9 corr 12.7072411 , in sigma: 5.99731855 7 most relevant variable 10 corr 9.98387623 , in sigma: 4.71199734 8 most relevant variable 8 corr 5.31138182 , in sigma: 2.50676355 9 most relevant variable 11 corr 4.74467468 , in sigma: 2.23930005 10 most relevant variable 7 corr 3.0122757 , in sigma: 1.42167579 11 most relevant variable 14 corr 2.87981129 , in sigma: 1.35915779 12 most relevant variable 6 corr 1.65091455 , in sigma: 0.779166808 13 most relevant variable 13 corr 0.512085855 , in sigma: 0.241684405 global correlations between input variables: variable 2: 99.4132699 % variable 3: 93.9921128 % variable 4: 91.5001278 % variable 5: 97.7104211 % variable 6: 97.7733424 % variable 7: 99.2602299 % variable 8: 91.3407813 % variable 9: 99.0386242 % variable 10: 74.9942139 % variable 11: 53.5854728 % variable 12: 70.7306465 % variable 13: 91.6218803 % variable 14: 89.1506434 % significance loss when removing single variables: variable 2: corr = 4.77798506 % , sigma = 2.25502123 variable 3: corr = 10.2444419 % , sigma = 4.83497412 variable 4: corr = 19.0022657 % , sigma = 8.96832288 variable 5: corr = 12.2923051 % , sigma = 5.80148509 variable 6: corr = 1.66482044 % , sigma = 0.785729843 variable 7: corr = 2.4778662 % , sigma = 1.1694555 variable 8: corr = 4.19492547 % , sigma = 1.97984002 variable 9: corr = 11.6030081 % , sigma = 5.47616399 variable 10: corr = 9.81837345 % , sigma = 4.63388653 variable 11: corr = 4.28423489 % , sigma = 2.02199055 variable 12: corr = 17.0816656 % , sigma = 8.06187507 variable 13: corr = 0.51208583 % , sigma = 0.241684393 variable 14: corr = 2.58729717 % , sigma = 1.22110262 Keep only 7 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 8 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 8.5556221 sigma out 15 active outputs RANK 2 NODE 2 --> 7.22381926 sigma out 15 active outputs RANK 3 NODE 6 --> 7.15632534 sigma out 15 active outputs RANK 4 NODE 4 --> 7.0711441 sigma out 15 active outputs RANK 5 NODE 7 --> 6.48974848 sigma out 15 active outputs RANK 6 NODE 5 --> 4.7168951 sigma out 15 active outputs RANK 7 NODE 8 --> 3.88969779 sigma out 15 active outputs RANK 8 NODE 3 --> 3.02571297 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 9.73827076 sigma in 8act. ( 10.7134867 sig out 1act.) RANK 2 NODE 10 --> 8.1269331 sigma in 8act. ( 8.00041199 sig out 1act.) RANK 3 NODE 7 --> 6.60491514 sigma in 8act. ( 6.6741457 sig out 1act.) RANK 4 NODE 4 --> 5.87841129 sigma in 8act. ( 7.20859098 sig out 1act.) RANK 5 NODE 15 --> 4.91838646 sigma in 8act. ( 5.18216515 sig out 1act.) RANK 6 NODE 11 --> 4.90815926 sigma in 8act. ( 5.91029739 sig out 1act.) RANK 7 NODE 6 --> 2.56171131 sigma in 8act. ( 2.35048461 sig out 1act.) RANK 8 NODE 8 --> 2.30322409 sigma in 8act. ( 2.25315833 sig out 1act.) RANK 9 NODE 5 --> 1.84595156 sigma in 8act. ( 1.75285125 sig out 1act.) RANK 10 NODE 13 --> 1.78729606 sigma in 8act. ( 1.67527235 sig out 1act.) RANK 11 NODE 1 --> 1.71609592 sigma in 8act. ( 1.69917417 sig out 1act.) RANK 12 NODE 12 --> 1.66203475 sigma in 8act. ( 1.46408951 sig out 1act.) RANK 13 NODE 3 --> 1.33805883 sigma in 8act. ( 0.865597606 sig out 1act.) RANK 14 NODE 14 --> 1.19491136 sigma in 8act. ( 1.12029362 sig out 1act.) RANK 15 NODE 2 --> 0.714188099 sigma in 8act. ( 0.400990456 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 10.7134867 sigma out 1act.( 9.73827076 sig in 8act.) RANK 2 NODE 10 --> 8.00041199 sigma out 1act.( 8.1269331 sig in 8act.) RANK 3 NODE 4 --> 7.20859098 sigma out 1act.( 5.87841129 sig in 8act.) RANK 4 NODE 7 --> 6.6741457 sigma out 1act.( 6.60491514 sig in 8act.) RANK 5 NODE 11 --> 5.91029739 sigma out 1act.( 4.90815926 sig in 8act.) RANK 6 NODE 15 --> 5.18216515 sigma out 1act.( 4.91838646 sig in 8act.) RANK 7 NODE 6 --> 2.35048461 sigma out 1act.( 2.56171131 sig in 8act.) RANK 8 NODE 8 --> 2.25315833 sigma out 1act.( 2.30322409 sig in 8act.) RANK 9 NODE 5 --> 1.75285125 sigma out 1act.( 1.84595156 sig in 8act.) RANK 10 NODE 1 --> 1.69917417 sigma out 1act.( 1.71609592 sig in 8act.) RANK 11 NODE 13 --> 1.67527235 sigma out 1act.( 1.78729606 sig in 8act.) RANK 12 NODE 12 --> 1.46408951 sigma out 1act.( 1.66203475 sig in 8act.) RANK 13 NODE 14 --> 1.12029362 sigma out 1act.( 1.19491136 sig in 8act.) RANK 14 NODE 3 --> 0.865597606 sigma out 1act.( 1.33805883 sig in 8act.) RANK 15 NODE 2 --> 0.400990456 sigma out 1act.( 0.714188099 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 18.9935837 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 12.8005266 sigma out 15 active outputs RANK 2 NODE 1 --> 11.3703527 sigma out 15 active outputs RANK 3 NODE 7 --> 7.95310926 sigma out 15 active outputs RANK 4 NODE 4 --> 7.89984322 sigma out 15 active outputs RANK 5 NODE 6 --> 7.30289125 sigma out 15 active outputs RANK 6 NODE 5 --> 5.63217831 sigma out 15 active outputs RANK 7 NODE 8 --> 4.05115414 sigma out 15 active outputs RANK 8 NODE 3 --> 3.98499703 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 9.74915791 sigma in 8act. ( 9.29477406 sig out 1act.) RANK 2 NODE 10 --> 8.82428932 sigma in 8act. ( 7.44684315 sig out 1act.) RANK 3 NODE 11 --> 7.88681507 sigma in 8act. ( 5.49679995 sig out 1act.) RANK 4 NODE 4 --> 7.24097157 sigma in 8act. ( 5.62120152 sig out 1act.) RANK 5 NODE 7 --> 6.49875689 sigma in 8act. ( 4.5611763 sig out 1act.) RANK 6 NODE 15 --> 6.42959118 sigma in 8act. ( 5.179317 sig out 1act.) RANK 7 NODE 14 --> 5.96853256 sigma in 8act. ( 2.48025322 sig out 1act.) RANK 8 NODE 1 --> 5.40939665 sigma in 8act. ( 3.14989066 sig out 1act.) RANK 9 NODE 12 --> 4.12475491 sigma in 8act. ( 1.79304719 sig out 1act.) RANK 10 NODE 8 --> 4.08576632 sigma in 8act. ( 1.53268695 sig out 1act.) RANK 11 NODE 5 --> 4.06769609 sigma in 8act. ( 2.21418953 sig out 1act.) RANK 12 NODE 2 --> 4.01040602 sigma in 8act. ( 1.08271217 sig out 1act.) RANK 13 NODE 3 --> 3.96906424 sigma in 8act. ( 1.15995049 sig out 1act.) RANK 14 NODE 6 --> 3.22339964 sigma in 8act. ( 1.25090635 sig out 1act.) RANK 15 NODE 13 --> 2.76714444 sigma in 8act. ( 1.32735813 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 9.29477406 sigma out 1act.( 9.74915791 sig in 8act.) RANK 2 NODE 10 --> 7.44684315 sigma out 1act.( 8.82428932 sig in 8act.) RANK 3 NODE 4 --> 5.62120152 sigma out 1act.( 7.24097157 sig in 8act.) RANK 4 NODE 11 --> 5.49679995 sigma out 1act.( 7.88681507 sig in 8act.) RANK 5 NODE 15 --> 5.179317 sigma out 1act.( 6.42959118 sig in 8act.) RANK 6 NODE 7 --> 4.5611763 sigma out 1act.( 6.49875689 sig in 8act.) RANK 7 NODE 1 --> 3.14989066 sigma out 1act.( 5.40939665 sig in 8act.) RANK 8 NODE 14 --> 2.48025322 sigma out 1act.( 5.96853256 sig in 8act.) RANK 9 NODE 5 --> 2.21418953 sigma out 1act.( 4.06769609 sig in 8act.) RANK 10 NODE 12 --> 1.79304719 sigma out 1act.( 4.12475491 sig in 8act.) RANK 11 NODE 8 --> 1.53268695 sigma out 1act.( 4.08576632 sig in 8act.) RANK 12 NODE 13 --> 1.32735813 sigma out 1act.( 2.76714444 sig in 8act.) RANK 13 NODE 6 --> 1.25090635 sigma out 1act.( 3.22339964 sig in 8act.) RANK 14 NODE 3 --> 1.15995049 sigma out 1act.( 3.96906424 sig in 8act.) RANK 15 NODE 2 --> 1.08271217 sigma out 1act.( 4.01040602 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.8426628 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.437368244 *** contribution from regularisation: 0.033497259 *** contribution from error: -0.470865518 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.527771413 *** contribution from regularisation: 0.0138382418 *** contribution from error: -0.541609645 *********************************************** -----------------> Test sample ENTER BFGS code START -3145.58569 -0.259138167 -0.3568165 EXIT FROM BFGS code FG_START 0. -0.259138167 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.540655255 *** contribution from regularisation: 0.0130450958 *** contribution from error: -0.553700328 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3221.76469 -0.259138167 -1.27408564 EXIT FROM BFGS code FG_LNSRCH 0. -0.275544345 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.542225361 *** contribution from regularisation: 0.0161641408 *** contribution from error: -0.558389485 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3231.12082 -0.275544345 -4.93543196 EXIT FROM BFGS code NEW_X -3231.12082 -0.275544345 -4.93543196 ENTER BFGS code NEW_X -3231.12082 -0.275544345 -4.93543196 EXIT FROM BFGS code FG_LNSRCH 0. -0.287038416 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.544154823 *** contribution from regularisation: 0.0170349963 *** contribution from error: -0.56118983 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3242.61842 -0.287038416 2.26794982 EXIT FROM BFGS code NEW_X -3242.61842 -0.287038416 2.26794982 ENTER BFGS code NEW_X -3242.61842 -0.287038416 2.26794982 EXIT FROM BFGS code FG_LNSRCH 0. -0.282503277 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.545310915 *** contribution from regularisation: 0.0154986838 *** contribution from error: -0.560809612 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3249.50774 -0.282503277 3.42629433 EXIT FROM BFGS code FG_LNSRCH 0. -0.264362723 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.54020983 *** contribution from regularisation: 0.0121559547 *** contribution from error: -0.55236578 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3219.11055 -0.264362723 6.63130236 EXIT FROM BFGS code FG_LNSRCH 0. -0.27993089 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.537339509 *** contribution from regularisation: 0.0229890626 *** contribution from error: -0.560328543 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3202.00598 -0.27993089 3.61124754 EXIT FROM BFGS code FG_LNSRCH 0. -0.28246209 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.543577909 *** contribution from regularisation: 0.0172259398 *** contribution from error: -0.560803831 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3239.18076 -0.28246209 3.06377554 EXIT FROM BFGS code FG_LNSRCH 0. -0.282503277 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 10.507452 sigma out 15 active outputs RANK 2 NODE 1 --> 8.36920357 sigma out 15 active outputs RANK 3 NODE 4 --> 4.66730118 sigma out 15 active outputs RANK 4 NODE 7 --> 4.40032148 sigma out 15 active outputs RANK 5 NODE 5 --> 4.2854929 sigma out 15 active outputs RANK 6 NODE 3 --> 4.06115484 sigma out 15 active outputs RANK 7 NODE 6 --> 3.74018335 sigma out 15 active outputs RANK 8 NODE 8 --> 2.36044931 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 6.10759926 sigma in 8act. ( 4.4425559 sig out 1act.) RANK 2 NODE 11 --> 6.10493135 sigma in 8act. ( 4.6523962 sig out 1act.) RANK 3 NODE 9 --> 5.87718916 sigma in 8act. ( 3.96753716 sig out 1act.) RANK 4 NODE 1 --> 5.00123262 sigma in 8act. ( 2.65376115 sig out 1act.) RANK 5 NODE 14 --> 4.93046188 sigma in 8act. ( 2.93995786 sig out 1act.) RANK 6 NODE 15 --> 4.76566744 sigma in 8act. ( 3.26648879 sig out 1act.) RANK 7 NODE 4 --> 4.38480043 sigma in 8act. ( 2.59349632 sig out 1act.) RANK 8 NODE 5 --> 3.60175276 sigma in 8act. ( 2.23460817 sig out 1act.) RANK 9 NODE 12 --> 3.59135628 sigma in 8act. ( 2.04316163 sig out 1act.) RANK 10 NODE 7 --> 3.39836931 sigma in 8act. ( 1.77767098 sig out 1act.) RANK 11 NODE 2 --> 3.15327096 sigma in 8act. ( 1.70286286 sig out 1act.) RANK 12 NODE 3 --> 3.00627089 sigma in 8act. ( 1.59484768 sig out 1act.) RANK 13 NODE 8 --> 2.8162787 sigma in 8act. ( 1.2488234 sig out 1act.) RANK 14 NODE 6 --> 2.38643098 sigma in 8act. ( 1.2000463 sig out 1act.) RANK 15 NODE 13 --> 2.36959457 sigma in 8act. ( 1.33249545 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 4.6523962 sigma out 1act.( 6.10493135 sig in 8act.) RANK 2 NODE 10 --> 4.4425559 sigma out 1act.( 6.10759926 sig in 8act.) RANK 3 NODE 9 --> 3.96753716 sigma out 1act.( 5.87718916 sig in 8act.) RANK 4 NODE 15 --> 3.26648879 sigma out 1act.( 4.76566744 sig in 8act.) RANK 5 NODE 14 --> 2.93995786 sigma out 1act.( 4.93046188 sig in 8act.) RANK 6 NODE 1 --> 2.65376115 sigma out 1act.( 5.00123262 sig in 8act.) RANK 7 NODE 4 --> 2.59349632 sigma out 1act.( 4.38480043 sig in 8act.) RANK 8 NODE 5 --> 2.23460817 sigma out 1act.( 3.60175276 sig in 8act.) RANK 9 NODE 12 --> 2.04316163 sigma out 1act.( 3.59135628 sig in 8act.) RANK 10 NODE 7 --> 1.77767098 sigma out 1act.( 3.39836931 sig in 8act.) RANK 11 NODE 2 --> 1.70286286 sigma out 1act.( 3.15327096 sig in 8act.) RANK 12 NODE 3 --> 1.59484768 sigma out 1act.( 3.00627089 sig in 8act.) RANK 13 NODE 13 --> 1.33249545 sigma out 1act.( 2.36959457 sig in 8act.) RANK 14 NODE 8 --> 1.2488234 sigma out 1act.( 2.8162787 sig in 8act.) RANK 15 NODE 6 --> 1.2000463 sigma out 1act.( 2.38643098 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.6184273 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.544303715 *** contribution from regularisation: 0.0165059008 *** contribution from error: -0.560809612 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3243.50574 -0.282503277 3.12805104 EXIT FROM BFGS code NEW_X -3243.50574 -0.282503277 3.12805104 ENTER BFGS code NEW_X -3243.50574 -0.282503277 3.12805104 EXIT FROM BFGS code FG_LNSRCH 0. -0.245640755 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.536846399 *** contribution from regularisation: 0.008636971 *** contribution from error: -0.545483351 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3199.06784 -0.245640755 9.96171093 EXIT FROM BFGS code FG_LNSRCH 0. -0.275815755 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.520734131 *** contribution from regularisation: 0.0393547229 *** contribution from error: -0.560088873 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3103.05472 -0.275815755 3.59413815 EXIT FROM BFGS code FG_LNSRCH 0. -0.282419354 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.547508657 *** contribution from regularisation: 0.0132975914 *** contribution from error: -0.560806274 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3262.60421 -0.282419354 3.28829718 EXIT FROM BFGS code FG_LNSRCH 0. -0.282320976 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.540048957 *** contribution from regularisation: 0.0207491871 *** contribution from error: -0.560798168 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3218.15169 -0.282320976 3.08149385 EXIT FROM BFGS code FG_LNSRCH 0. -0.282419264 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.545864582 *** contribution from regularisation: 0.0149417026 *** contribution from error: -0.560806274 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3252.80692 -0.282419264 3.3252492 EXIT FROM BFGS code FG_LNSRCH 0. -0.282419354 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.540964901 *** contribution from regularisation: 0.0198413655 *** contribution from error: -0.560806274 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3223.60986 -0.282419354 3.18155336 EXIT FROM BFGS code NEW_X -3223.60986 -0.282419354 3.18155336 ENTER BFGS code NEW_X -3223.60986 -0.282419354 3.18155336 EXIT FROM BFGS code CONVERGENC -3223.60986 -0.282419354 3.18155336 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 14.0036154 sigma out 15 active outputs RANK 2 NODE 1 --> 12.745225 sigma out 15 active outputs RANK 3 NODE 5 --> 6.07342815 sigma out 15 active outputs RANK 4 NODE 4 --> 6.03438377 sigma out 15 active outputs RANK 5 NODE 7 --> 5.60403013 sigma out 15 active outputs RANK 6 NODE 6 --> 5.36057901 sigma out 15 active outputs RANK 7 NODE 3 --> 5.30285454 sigma out 15 active outputs RANK 8 NODE 8 --> 3.30294824 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 9.54990578 sigma in 8act. ( 7.103158 sig out 1act.) RANK 2 NODE 9 --> 8.84584045 sigma in 8act. ( 6.78028822 sig out 1act.) RANK 3 NODE 11 --> 8.17114353 sigma in 8act. ( 7.89417648 sig out 1act.) RANK 4 NODE 1 --> 7.39038849 sigma in 8act. ( 3.99272943 sig out 1act.) RANK 5 NODE 15 --> 7.1013546 sigma in 8act. ( 5.24018717 sig out 1act.) RANK 6 NODE 14 --> 6.62242842 sigma in 8act. ( 4.58165598 sig out 1act.) RANK 7 NODE 4 --> 5.41359758 sigma in 8act. ( 4.52004671 sig out 1act.) RANK 8 NODE 5 --> 4.80143356 sigma in 8act. ( 3.39356089 sig out 1act.) RANK 9 NODE 12 --> 4.61956406 sigma in 8act. ( 3.01453042 sig out 1act.) RANK 10 NODE 2 --> 4.07383585 sigma in 8act. ( 2.50937772 sig out 1act.) RANK 11 NODE 7 --> 3.95008397 sigma in 8act. ( 3.06787181 sig out 1act.) RANK 12 NODE 3 --> 3.76556134 sigma in 8act. ( 2.30362701 sig out 1act.) RANK 13 NODE 8 --> 3.17383361 sigma in 8act. ( 1.89275777 sig out 1act.) RANK 14 NODE 13 --> 2.88127828 sigma in 8act. ( 1.85252869 sig out 1act.) RANK 15 NODE 6 --> 2.7271409 sigma in 8act. ( 1.72855341 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 7.89417648 sigma out 1act.( 8.17114353 sig in 8act.) RANK 2 NODE 10 --> 7.103158 sigma out 1act.( 9.54990578 sig in 8act.) RANK 3 NODE 9 --> 6.78028822 sigma out 1act.( 8.84584045 sig in 8act.) RANK 4 NODE 15 --> 5.24018717 sigma out 1act.( 7.1013546 sig in 8act.) RANK 5 NODE 14 --> 4.58165598 sigma out 1act.( 6.62242842 sig in 8act.) RANK 6 NODE 4 --> 4.52004671 sigma out 1act.( 5.41359758 sig in 8act.) RANK 7 NODE 1 --> 3.99272943 sigma out 1act.( 7.39038849 sig in 8act.) RANK 8 NODE 5 --> 3.39356089 sigma out 1act.( 4.80143356 sig in 8act.) RANK 9 NODE 7 --> 3.06787181 sigma out 1act.( 3.95008397 sig in 8act.) RANK 10 NODE 12 --> 3.01453042 sigma out 1act.( 4.61956406 sig in 8act.) RANK 11 NODE 2 --> 2.50937772 sigma out 1act.( 4.07383585 sig in 8act.) RANK 12 NODE 3 --> 2.30362701 sigma out 1act.( 3.76556134 sig in 8act.) RANK 13 NODE 8 --> 1.89275777 sigma out 1act.( 3.17383361 sig in 8act.) RANK 14 NODE 13 --> 1.85252869 sigma out 1act.( 2.88127828 sig in 8act.) RANK 15 NODE 6 --> 1.72855341 sigma out 1act.( 2.7271409 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.1811085 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.545163691 *** contribution from regularisation: 0.0156425573 *** contribution from error: -0.560806274 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24530 Closing output file done