NNInput NNInputs_110.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= 11311 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 = 2544 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 2544 Chosen entries: 2544 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.290179 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 2544 Entries to split: 2544 Test with : 1272 Train with : 1272 ********************************************* * 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= 2544 for Signal Prepared event 0 for Signal with 2544 events ====Entry 0 Variable Ht : 198.262 Variable LepAPt : 23.3773 Variable LepBPt : 12.5509 Variable MetSigLeptonsJets : 7.88411 Variable MetSpec : 84.2013 Variable SumEtLeptonsJets : 114.06 Variable VSumJetLeptonsPt : 76.2615 Variable addEt : 120.13 Variable dPhiLepSumMet : 1.83827 Variable dPhiLeptons : 0.551021 Variable dRLeptons : 0.589477 Variable lep1_E : 32.5225 Variable lep2_E : 20.4062 ===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 = 2110 Ht = 198.262 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 23.3775 LepAPt = 23.3773 LepBEt = 12.5512 LepBPt = 12.5509 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 84.2013 MetDelPhi = 1.64774 MetSig = 6.04606 MetSigLeptonsJets = 7.88411 MetSpec = 84.2013 Mjj = 0 MostCentralJetEta = 1.67725 MtllMet = 131.556 Njets = 1 SB = 0 SumEt = 193.951 SumEtJets = 0 SumEtLeptonsJets = 114.06 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 76.2615 addEt = 120.13 dPhiLepSumMet = 1.83827 dPhiLeptons = 0.551021 dRLeptons = 0.589477 diltype = 43 dimass = 9.99257 event = 52 jet1_Et = 78.1316 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.5225 lep2_E = 20.4062 rand = 0.999742 run = 229672 weight = 4.26997e-07 ===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 = 3.1452 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 314 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 11311 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 314 negative weights. Signal fraction: 68.7581635 % ------------------------------ 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 58.1911278 66.1905823 67.1904449 68.8892517 69.5179214 70.2850266 71.8304825 73.4231415 73.9544678 73.9558182 74.4151611 75.5323944 75.6827545 77.5029602 78.7032166 78.7110062 79.7862473 80.6345825 81.2008972 81.2958221 82.1110535 82.689003 83.3923569 84.5325241 84.7254105 85.700386 86.1961517 87.0178375 88.1103973 89.2348022 89.2848206 90.221405 91.0999908 91.9520416 92.0321808 93.0460205 94.1638031 94.8522263 95.2818756 95.3889008 96.1327972 96.634407 97.1597443 97.2866974 97.8378448 98.7477188 99.4669952 100.220627 100.85051 101.355728 101.540909 101.91745 102.124611 102.556114 103.443924 104.336067 105.435661 105.949242 106.193665 106.836906 107.784439 108.469467 109.908981 110.178238 110.81514 110.974022 112.822182 113.652008 115.456863 116.249969 117.455048 118.874176 120.997406 122.017502 124.360931 126.1129 128.112091 130.045822 131.826614 133.800095 135.640915 138.181976 141.738861 144.262634 147.261871 148.923141 151.130157 154.130753 157.677994 160.964905 164.220963 167.992249 173.228943 179.719376 188.338348 194.398041 201.893372 216.88681 243.918335 264.835388 448.063263 ------------------------------ Transdef: Tab for variable 3 20.0084343 20.4516182 20.8979073 21.1476479 21.516367 21.8344688 22.0073967 22.1471405 22.2803097 22.5842533 22.6293964 22.8639984 22.9603519 23.2758884 23.5894871 23.7383003 23.8742332 23.9103737 24.1440735 24.5245171 24.7795639 24.9632111 25.2034187 25.5825882 25.6739464 25.8659439 26.1317883 26.1329041 26.3834114 26.4293518 26.7578468 26.9529305 27.0451355 27.1250114 27.3790703 27.6143379 27.6832371 27.7017021 27.9518852 28.2485161 28.5498257 28.841301 29.1294575 29.3311367 29.3684101 29.7475777 29.9817581 30.2683449 30.5818768 30.7739677 31.0273304 31.3209724 31.4214134 31.5827084 31.9141731 31.9291611 31.9737396 32.118763 32.3340836 32.6260452 32.9554596 33.1877136 33.2388992 33.4554405 33.9470673 34.1519394 34.178154 34.4198837 34.4358597 34.7507782 34.9971924 35.5086403 35.6997185 36.0379028 36.2708206 36.6062317 36.8553238 37.0252609 37.4249496 37.9016647 38.393322 38.861763 39.4774551 39.9828491 40.0675735 40.6409225 41.2085495 41.5665817 42.1755104 43.0818787 43.9505615 45.1405106 45.9396706 46.4146309 47.5241241 49.1195831 50.7606049 53.1838837 55.8400993 62.1403122 104.105942 ------------------------------ Transdef: Tab for variable 4 10.0008354 10.038538 10.1775246 10.2849007 10.3544626 10.3784351 10.5075817 10.5269756 10.5897751 10.5900126 10.6821327 10.7279797 10.7495232 10.7579155 10.8329506 10.9797783 11.000185 11.0922012 11.2101202 11.2113743 11.2744026 11.2991915 11.3801298 11.4381409 11.4462729 11.5587215 11.6343746 11.664609 11.6865578 11.7535744 11.7535753 11.8882198 12.0216675 12.1807384 12.1874409 12.2499561 12.3461895 12.3560944 12.4475651 12.5808992 12.6544075 12.6727867 12.8119717 12.9791412 13.1579189 13.2604618 13.4134064 13.4957876 13.6648149 13.7749195 13.8745918 13.9220619 14.175642 14.3060703 14.4441586 14.5817852 14.7577009 14.9575081 15.1508446 15.3586912 15.3661976 15.4462776 15.4538841 15.6510935 15.8769398 16.1270256 16.3756866 16.5930042 16.7278748 16.7922001 16.9857178 17.1451817 17.3247852 17.5125313 17.8289642 18.0729523 18.3718891 18.4943562 18.6647015 18.7529335 18.914299 19.2558136 19.5949783 20.0057316 20.2165051 20.4840088 20.6983337 20.9785557 21.2728596 21.7929192 22.0184288 22.3437042 22.908659 23.3908863 23.9415493 24.6978321 25.5159721 26.1962929 26.669342 28.6538696 36.4675331 ------------------------------ Transdef: Tab for variable 5 2.24950337 2.9150126 3.06623697 3.24216008 3.5248642 3.67280388 3.78686142 3.7989738 3.93458223 4.12015343 4.24460983 4.32300663 4.40595579 4.52792835 4.59323215 4.60521126 4.62871361 4.67896223 4.70301723 4.75579929 4.75932884 4.78935575 4.80805588 4.90389252 5.00424576 5.08346653 5.16547871 5.25862455 5.27329922 5.33303785 5.41901016 5.47940397 5.57070827 5.62162352 5.6802454 5.70076561 5.75363064 5.79334831 5.82533169 5.82768345 5.86516857 5.9288969 5.97273636 6.0141573 6.01416779 6.08804941 6.15587664 6.17860031 6.21159363 6.23036051 6.25635576 6.2618618 6.27153158 6.27643251 6.28614759 6.33960104 6.3462925 6.39457941 6.43849945 6.48664856 6.49190235 6.50946569 6.55093956 6.55158329 6.5843935 6.65231085 6.6641264 6.71474361 6.7511425 6.7909379 6.82607889 6.87884903 6.93601751 6.96211767 7.03092003 7.07844925 7.13749456 7.166646 7.18248272 7.22335339 7.24654961 7.27574062 7.33346844 7.4155345 7.4776392 7.52583122 7.59482098 7.685009 7.76484013 7.83373642 7.91687965 8.01498985 8.11895752 8.30322075 8.46409225 8.47764778 8.67219734 8.89455414 9.24369335 9.75415897 19.5901375 ------------------------------ Transdef: Tab for variable 6 25.0229874 26.2200775 27.0818996 28.3127918 29.0027504 29.4322548 29.6345921 30.887764 31.397049 32.0312462 32.9430466 33.0124893 33.5729294 33.5818596 34.3328171 34.8443909 34.8487968 35.5442123 35.9059105 35.971611 36.1698456 36.4730339 36.4876823 36.49543 36.5597343 36.9267044 37.3996887 37.4968529 37.818058 37.8684387 38.0346718 38.2576828 38.5991631 39.0094604 39.4587402 39.5144043 39.8000641 39.8595963 40.2797775 40.3678207 40.4829941 40.8296394 41.5113983 41.8944016 42.0783691 42.2279892 42.7594948 42.915657 43.102829 43.5094299 43.757782 43.9979782 44.4688873 44.7567062 45.0753174 45.597847 45.9243546 46.1110001 46.3850098 46.7701569 47.1084213 47.5981522 48.1117477 48.6811447 49.0303345 49.4585266 49.8400803 50.0935745 50.419838 50.8079071 50.9660645 51.0663338 51.5281067 52.0254784 52.4375801 52.8579254 53.2689972 53.8148651 54.2123642 54.3956223 54.8462982 55.4562378 56.3805313 56.9661751 57.1181183 57.6852837 58.8127747 59.8460159 60.8069725 61.9955597 63.9615784 65.1575928 66.4203033 68.0670471 69.5320129 71.8241196 74.0793457 77.5240479 82.4967117 93.495842 193.358276 ------------------------------ Transdef: Tab for variable 7 30.7100792 32.9031982 33.7453842 33.7961197 35.5141754 35.9276581 36.5659027 36.649971 37.3030853 37.5044746 37.766758 38.0305748 38.1304207 38.2110634 38.9276161 39.6809731 40.3697586 40.5174103 40.9866142 41.4843674 41.6181412 41.6185036 42.1346359 42.6899796 43.1749878 43.1851959 43.7790451 44.3747482 44.786499 45.1492157 45.1806068 45.473526 45.6485329 46.0667191 46.7487946 47.2710571 47.3376694 48.0202332 48.3948975 48.8374062 49.1749573 49.6053238 50.0736923 50.4786377 50.5650177 50.9917374 51.4746399 52.02314 52.6189499 52.6262627 53.1246338 54.0434952 54.8803253 55.6116791 55.9471703 56.424408 57.6447678 58.6434174 58.7905502 59.5963821 60.1555557 61.3008499 61.3180313 62.4656639 63.8133469 64.2338409 64.8877716 65.7762756 67.189743 68.1910248 69.469368 70.5218964 72.8891907 74.6970978 75.9760513 77.0934372 78.5801849 80.5920715 81.9530411 82.1314697 84.0840454 85.6363983 88.5267029 91.3717651 93.1690979 95.0467529 97.2056427 99.4051971 102.189209 104.96759 108.39537 112.901741 117.67894 121.921127 126.056061 131.53476 135.978943 148.441254 159.650757 190.403397 292.959808 ------------------------------ Transdef: Tab for variable 8 4.06795692 25.2989006 28.5716934 29.9400063 30.1867828 31.5119534 32.0927582 32.75914 32.8003235 32.9585152 33.6813812 33.9003448 34.0553284 34.4676743 35.077301 35.2215958 35.8018646 36.1474075 36.3983459 36.8322334 36.9001236 37.0715485 37.3390045 37.4120712 37.8552933 38.3267365 38.7162437 39.1340752 39.3293839 39.6768494 40.2403145 40.5430412 40.8079758 41.1321487 41.3102226 41.3810654 41.8225212 42.0604134 42.1005898 42.5548286 42.6479568 42.9492111 43.2376404 43.5360985 43.9844971 44.2798424 44.2895393 44.3285065 44.6100922 44.9378738 45.2170715 45.2390518 45.383934 45.8324699 46.2555122 46.6421318 46.9470062 47.328186 47.6385422 48.1116486 48.4101868 48.4486237 48.8823471 49.11586 49.3430099 49.3471298 49.6451492 49.9549026 50.3208923 50.7589874 51.0379105 51.0397263 51.3679428 51.8831635 52.4707031 53.1732368 53.7624893 53.8895874 54.2928925 54.9247589 55.40728 55.8325806 56.6300049 57.6711731 58.5282555 59.264534 60.6600647 61.4276772 63.2646332 64.1413422 65.7749939 67.0436935 68.7710876 70.3604889 72.4293976 75.3876343 78.3668671 82.1039429 87.8383484 101.634361 181.881607 ------------------------------ Transdef: Tab for variable 9 58.1911278 65.2544785 67.1904449 68.3426971 68.8892517 69.9042816 70.232605 71.8112259 72.7591858 73.4231415 73.9544678 73.9607315 74.4151611 75.2036133 75.5441589 75.5631714 76.7546692 77.874794 78.707016 78.7110062 78.901474 79.5648041 79.7675934 80.001236 80.6446915 81.1503143 81.2958221 82.0070648 82.693634 83.0617828 83.7589264 84.5325241 84.5345917 84.7509613 85.3179474 86.1977081 86.2084045 86.7070007 87.6229401 88.4024506 89.2348022 89.2848206 89.3381805 90.0604706 90.4212341 90.7347412 91.2568054 91.7577057 92.0321808 92.3806763 93.0448532 93.6324387 94.26651 94.7722397 95.1848373 95.6023483 96.0902176 96.6911697 97.3992615 97.8538055 98.5211334 98.8278046 99.4957733 100.023155 100.608109 100.892693 101.315872 101.54155 101.693626 102.124611 102.233505 102.871826 103.407478 103.898972 104.513512 105.226921 105.714355 106.104446 106.676193 107.455643 108.21936 109.054726 109.958115 110.166664 110.898895 111.61235 112.842712 113.694733 114.661072 115.737503 117.146088 118.731003 121.020798 123.786911 125.995407 129.106201 133.448364 141.527069 148.037003 156.297913 265.589417 ------------------------------ Transdef: Tab for variable 10 0.349027485 0.909840822 1.13298643 1.27002692 1.38579428 1.53205085 1.60042155 1.70017862 1.76967072 1.84826291 1.91293144 2.01691675 2.0645709 2.12795186 2.18184066 2.24167752 2.26027966 2.29991269 2.32544708 2.32678699 2.35295296 2.37831736 2.42909002 2.44291139 2.46051669 2.49841261 2.53340507 2.56290126 2.60436034 2.61854506 2.6192627 2.62871695 2.6598351 2.6888752 2.7130127 2.73545337 2.76045132 2.77896166 2.80421758 2.82546258 2.83088446 2.83980083 2.84134674 2.84515381 2.84744978 2.86264229 2.86361694 2.87563944 2.89590645 2.90937519 2.91691947 2.92402625 2.93319321 2.93321419 2.94604778 2.95260048 2.95979118 2.96927929 2.97843146 2.98398209 2.98745918 2.99596834 3.0028367 3.00735378 3.01613045 3.02336097 3.02821016 3.03191113 3.03557539 3.03868699 3.04580808 3.05149221 3.05388641 3.05502486 3.0597744 3.06648636 3.06649232 3.07033062 3.07466698 3.080091 3.08418846 3.09107161 3.09476995 3.09489059 3.09674263 3.10158157 3.10526276 3.11021614 3.11386204 3.11425519 3.1160481 3.11736059 3.12002945 3.1245532 3.12614727 3.1289072 3.12910247 3.13199615 3.13383818 3.13703775 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00455409288 0.0132373273 0.0239959955 0.0383725166 0.053145647 0.071185112 0.0812492371 0.0911979675 0.0975570679 0.101318002 0.114640474 0.127178192 0.137202054 0.14181149 0.152548313 0.154146671 0.162373543 0.171730042 0.176756501 0.188939691 0.200986385 0.213410378 0.223581195 0.233857751 0.243397385 0.244671181 0.249453127 0.25823617 0.264663041 0.272301137 0.282746196 0.29342398 0.302575827 0.311270177 0.315263569 0.318792582 0.326714396 0.335280657 0.339977682 0.340606928 0.347154766 0.351733208 0.352439225 0.361696243 0.370336771 0.3772825 0.386747599 0.387126446 0.394114703 0.400793135 0.408364534 0.414295465 0.419433892 0.426415324 0.431358576 0.435896635 0.441624343 0.448001862 0.457318842 0.460270882 0.460917532 0.46946463 0.473125577 0.474895954 0.480054855 0.481149793 0.490305066 0.492345631 0.49681747 0.505574703 0.509517252 0.512816072 0.522655964 0.523646116 0.524435043 0.530930281 0.534357071 0.538505197 0.544818699 0.54965353 0.556519866 0.56642127 0.579333305 0.588206768 0.600699127 0.613769412 0.633279741 0.633444846 0.644846141 0.66151917 0.676062942 0.699442804 0.712945342 0.718267024 0.73893404 0.767770529 0.802181244 0.825996637 0.863424659 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.211730883 0.261999637 0.285422295 0.313336074 0.403088331 0.409536064 0.415762424 0.420568943 0.424175501 0.428965867 0.430038035 0.43255192 0.435744524 0.438593596 0.443674207 0.448087722 0.452852726 0.456336498 0.459180951 0.463536978 0.467240453 0.471475601 0.47383824 0.477520347 0.483008802 0.486255229 0.489720941 0.494532466 0.495288134 0.498981297 0.503131509 0.507116914 0.512020171 0.516575456 0.517946005 0.51808542 0.520343006 0.525648713 0.531776428 0.535292387 0.539621234 0.54343158 0.549246907 0.549279392 0.552447438 0.554574251 0.558305979 0.561898649 0.567282557 0.568217695 0.570705712 0.575216413 0.577257037 0.577717423 0.58047986 0.583110273 0.589589596 0.593854666 0.598537743 0.602602005 0.605398595 0.610985279 0.618913054 0.624018788 0.630532384 0.634188771 0.635983706 0.642933428 0.651373625 0.654701352 0.660358667 0.663674831 0.66990447 0.675214291 0.678402066 0.678494334 0.684812188 0.690346777 0.695548654 0.701224208 0.710348129 0.721412063 0.725110769 0.730446517 0.741772056 0.743112087 0.748844862 0.748865128 0.769390643 0.771051049 0.781473458 0.794479966 0.811430693 0.830251217 0.850897133 0.859735429 0.873316765 0.898689985 0.917492032 1.13414526 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.351963 22.1684608 23.0090599 23.0375328 23.6670647 24.1936378 24.4326782 24.5289459 24.7631054 25.0428543 25.4800262 25.9261627 26.3959789 26.7457848 27.0210819 27.3921528 27.6891441 27.7355537 27.8572388 28.1884651 28.5741539 28.6445236 28.8645916 28.8841324 29.2475376 29.6812057 30.0516548 30.4432487 30.6706123 30.9187355 30.9923801 31.0666313 31.2890205 31.7494431 32.0548477 32.3104095 32.3184204 32.3627739 32.622982 32.6821823 32.926796 33.2623138 33.4855537 33.6106873 33.8057976 33.8063469 34.2715378 34.5438995 34.7243576 34.8243599 35.1474304 35.386116 35.7105942 36.1487961 36.3912811 36.746006 37.0888824 37.2537689 37.4629707 37.8618011 38.1670151 38.5506821 38.5578575 38.843605 39.3104248 39.5861053 39.7465363 40.2240562 40.7270317 41.1946716 41.1985855 41.794899 42.1982346 42.6232147 42.8017693 43.363739 43.5451927 43.7736626 44.2897263 44.8787422 45.3684044 45.9939156 46.7618713 47.384201 48.0677643 48.6399651 49.3603592 50.5360184 51.5982437 52.6617126 53.7441406 55.0839119 55.4268951 56.69104 58.0055466 59.4529762 63.1522827 69.0710678 77.2733765 132.315933 ------------------------------ Transdef: Tab for variable 14 10.0873671 10.2623997 10.530386 10.583498 10.7213039 10.7241497 10.8573074 10.8898373 11.1040211 11.2473221 11.3094482 11.3798027 11.4967403 11.5527964 11.7260237 11.7377186 11.7955475 11.9328842 12.1108141 12.2188196 12.297821 12.4186077 12.4379253 12.6497955 12.6838741 12.8212738 12.8251343 13.1297817 13.2020473 13.2948971 13.4646816 13.6224499 13.7669554 13.9960995 14.2365093 14.3727713 14.6592426 15.0180092 15.2912617 15.4620113 15.5816174 15.6269951 15.8880997 16.1897354 16.2684593 16.4216137 16.6441269 16.8911819 16.9318695 16.9546909 17.0313148 17.2344551 17.4579048 17.7024078 18.1475716 18.2506447 18.4003067 18.5969238 18.7556419 19.091465 19.4600258 19.8154602 20.0153618 20.2826653 20.5356598 20.7357807 20.9637985 21.2426186 21.4572868 21.6197014 21.925808 22.0946789 22.3287048 22.552536 22.982357 23.5288734 23.7061481 23.8610649 24.1500359 24.5210876 25.2244987 25.2718811 25.5081749 26.0062618 26.8101501 27.2102013 27.6095467 28.3080063 29.0568447 29.6996403 30.2758102 30.3417835 31.2014847 32.0765343 33.3409882 33.9896469 34.6421738 36.6021423 40.6209068 47.742424 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 37.9 16.5 20.6 -1.0 17.7 37.0 27.0 32.2 -23.4 -5.1 0.7 14.7 16.5 2 37.9 100.0 47.8 24.5 4.6 53.6 93.5 57.1 84.0 -55.2 -19.1 -28.4 41.8 21.5 3 16.5 47.8 100.0 -7.7 -11.5 15.8 50.6 32.1 60.0 -2.6 -12.1 -25.5 87.2 -5.8 4 20.6 24.5 -7.7 100.0 -9.6 3.2 28.9 19.3 26.2 -18.2 -25.0 -37.2 1.8 80.6 5 -1.0 4.6 -11.5 -9.6 100.0 77.8 -25.1 36.3 41.2 33.9 7.7 12.0 -11.0 -5.7 6 17.7 53.6 15.8 3.2 77.8 100.0 28.1 63.6 74.9 0.1 -3.8 -3.9 12.9 5.0 7 37.0 93.5 50.6 28.9 -25.1 28.1 100.0 50.5 69.0 -61.1 -21.4 -32.4 44.1 24.9 8 27.0 57.1 32.1 19.3 36.3 63.6 50.5 100.0 70.7 -7.9 -12.1 -19.6 28.4 17.6 9 32.2 84.0 60.0 26.2 41.2 74.9 69.0 70.7 100.0 -21.1 -15.5 -27.6 54.4 23.7 10 -23.4 -55.2 -2.6 -18.2 33.9 0.1 -61.1 -7.9 -21.1 100.0 18.5 17.4 -4.4 -15.4 11 -5.1 -19.1 -12.1 -25.0 7.7 -3.8 -21.4 -12.1 -15.5 18.5 100.0 51.6 -12.1 -29.5 12 0.7 -28.4 -25.5 -37.2 12.0 -3.9 -32.4 -19.6 -27.6 17.4 51.6 100.0 -26.2 -29.8 13 14.7 41.8 87.2 1.8 -11.0 12.9 44.1 28.4 54.4 -4.4 -12.1 -26.2 100.0 16.4 14 16.5 21.5 -5.8 80.6 -5.7 5.0 24.9 17.6 23.7 -15.4 -29.5 -29.8 16.4 100.0 TOTAL CORRELATION TO TARGET (diagonal) 81.5040817 TOTAL CORRELATION OF ALL VARIABLES 44.6583247 ROUND 1: MAX CORR ( 44.6549743) AFTER KILLING INPUT VARIABLE 13 CONTR 0.547018139 ROUND 2: MAX CORR ( 44.6412371) AFTER KILLING INPUT VARIABLE 5 CONTR 1.10755851 ROUND 3: MAX CORR ( 44.6074153) AFTER KILLING INPUT VARIABLE 14 CONTR 1.73739747 ROUND 4: MAX CORR ( 44.5484632) AFTER KILLING INPUT VARIABLE 9 CONTR 2.29258067 ROUND 5: MAX CORR ( 44.4957648) AFTER KILLING INPUT VARIABLE 7 CONTR 2.16621411 ROUND 6: MAX CORR ( 44.4043919) AFTER KILLING INPUT VARIABLE 11 CONTR 2.85010041 ROUND 7: MAX CORR ( 44.1973517) AFTER KILLING INPUT VARIABLE 10 CONTR 4.283003 ROUND 8: MAX CORR ( 44.1042904) AFTER KILLING INPUT VARIABLE 3 CONTR 2.86661361 ROUND 9: MAX CORR ( 43.4493665) AFTER KILLING INPUT VARIABLE 6 CONTR 7.57238266 ROUND 10: MAX CORR ( 43.0137194) AFTER KILLING INPUT VARIABLE 8 CONTR 6.13737657 ROUND 11: MAX CORR ( 39.7538452) AFTER KILLING INPUT VARIABLE 4 CONTR 16.4259504 ROUND 12: MAX CORR ( 37.9076895) AFTER KILLING INPUT VARIABLE 12 CONTR 11.973942 LAST REMAINING VARIABLE: 2 total correlation to target: 44.6583247 % total significance: 19.2156238 sigma correlations of single variables to target: variable 2: 37.9076895 % , in sigma: 16.3109545 variable 3: 16.5359199 % , in sigma: 7.11509038 variable 4: 20.5651223 % , in sigma: 8.8487792 variable 5: -1.02374302 % , in sigma: 0.440497062 variable 6: 17.6548546 % , in sigma: 7.59654662 variable 7: 36.9842445 % , in sigma: 15.9136138 variable 8: 26.9990427 % , in sigma: 11.6171722 variable 9: 32.2024112 % , in sigma: 13.8560823 variable 10: -23.4494087 % , in sigma: 10.0898325 variable 11: -5.081817 % , in sigma: 2.18660876 variable 12: 0.709578487 % , in sigma: 0.305318066 variable 13: 14.6878308 % , in sigma: 6.31989298 variable 14: 16.4653005 % , in sigma: 7.08470419 variables sorted by significance: 1 most relevant variable 2 corr 37.9076881 , in sigma: 16.3109539 2 most relevant variable 12 corr 11.9739418 , in sigma: 5.15215838 3 most relevant variable 4 corr 16.425951 , in sigma: 7.06777288 4 most relevant variable 8 corr 6.13737679 , in sigma: 2.64079597 5 most relevant variable 6 corr 7.57238245 , in sigma: 3.25825149 6 most relevant variable 3 corr 2.86661363 , in sigma: 1.23344907 7 most relevant variable 10 corr 4.28300285 , in sigma: 1.8428943 8 most relevant variable 11 corr 2.85010052 , in sigma: 1.2263438 9 most relevant variable 7 corr 2.16621399 , in sigma: 0.932080491 10 most relevant variable 9 corr 2.2925806 , in sigma: 0.986453631 11 most relevant variable 14 corr 1.73739743 , in sigma: 0.74756892 12 most relevant variable 5 corr 1.10755849 , in sigma: 0.476561256 13 most relevant variable 13 corr 0.547018111 , in sigma: 0.235371442 global correlations between input variables: variable 2: 98.8589377 % variable 3: 95.2082313 % variable 4: 88.4805056 % variable 5: 95.4468119 % variable 6: 93.3936191 % variable 7: 98.5960372 % variable 8: 81.0167447 % variable 9: 98.313856 % variable 10: 75.7697604 % variable 11: 57.1210242 % variable 12: 62.7262547 % variable 13: 91.4964769 % variable 14: 87.1203751 % significance loss when removing single variables: variable 2: corr = 7.27127935 % , sigma = 3.12869258 variable 3: corr = 3.80590604 % , sigma = 1.63760865 variable 4: corr = 10.574012 % , sigma = 4.54979534 variable 5: corr = 1.04886265 % , sigma = 0.451305559 variable 6: corr = 3.26831482 % , sigma = 1.40629342 variable 7: corr = 2.11104917 % , sigma = 0.908344123 variable 8: corr = 9.05329756 % , sigma = 3.89546096 variable 9: corr = 2.37051858 % , sigma = 1.01998885 variable 10: corr = 4.22477828 % , sigma = 1.81784137 variable 11: corr = 2.77291508 % , sigma = 1.19313238 variable 12: corr = 17.4534747 % , sigma = 7.50989671 variable 13: corr = 0.547018139 % , sigma = 0.235371454 variable 14: corr = 1.18668637 % , sigma = 0.510608471 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 4 --> 5.86118364 sigma out 15 active outputs RANK 2 NODE 1 --> 5.39674473 sigma out 15 active outputs RANK 3 NODE 3 --> 5.33224344 sigma out 15 active outputs RANK 4 NODE 2 --> 4.21000147 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 5.93339491 sigma in 4act. ( 6.21430779 sig out 1act.) RANK 2 NODE 12 --> 5.58166218 sigma in 4act. ( 6.50511312 sig out 1act.) RANK 3 NODE 5 --> 3.36702061 sigma in 4act. ( 3.92321563 sig out 1act.) RANK 4 NODE 11 --> 3.09470105 sigma in 4act. ( 3.14796257 sig out 1act.) RANK 5 NODE 7 --> 2.52064419 sigma in 4act. ( 2.79985762 sig out 1act.) RANK 6 NODE 14 --> 2.12274742 sigma in 4act. ( 2.36023974 sig out 1act.) RANK 7 NODE 10 --> 1.98635149 sigma in 4act. ( 2.18817115 sig out 1act.) RANK 8 NODE 1 --> 1.62428916 sigma in 4act. ( 1.84048045 sig out 1act.) RANK 9 NODE 15 --> 1.58144307 sigma in 4act. ( 1.70365167 sig out 1act.) RANK 10 NODE 4 --> 0.839857697 sigma in 4act. ( 0.599516749 sig out 1act.) RANK 11 NODE 6 --> 0.795663536 sigma in 4act. ( 0.848312914 sig out 1act.) RANK 12 NODE 9 --> 0.667633355 sigma in 4act. ( 0.601560473 sig out 1act.) RANK 13 NODE 8 --> 0.574211895 sigma in 4act. ( 0.272350341 sig out 1act.) RANK 14 NODE 13 --> 0.400032341 sigma in 4act. ( 0.388625085 sig out 1act.) RANK 15 NODE 2 --> 0.377667725 sigma in 4act. ( 0.0714930892 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 6.50511312 sigma out 1act.( 5.58166218 sig in 4act.) RANK 2 NODE 3 --> 6.21430779 sigma out 1act.( 5.93339491 sig in 4act.) RANK 3 NODE 5 --> 3.92321563 sigma out 1act.( 3.36702061 sig in 4act.) RANK 4 NODE 11 --> 3.14796257 sigma out 1act.( 3.09470105 sig in 4act.) RANK 5 NODE 7 --> 2.79985762 sigma out 1act.( 2.52064419 sig in 4act.) RANK 6 NODE 14 --> 2.36023974 sigma out 1act.( 2.12274742 sig in 4act.) RANK 7 NODE 10 --> 2.18817115 sigma out 1act.( 1.98635149 sig in 4act.) RANK 8 NODE 1 --> 1.84048045 sigma out 1act.( 1.62428916 sig in 4act.) RANK 9 NODE 15 --> 1.70365167 sigma out 1act.( 1.58144307 sig in 4act.) RANK 10 NODE 6 --> 0.848312914 sigma out 1act.( 0.795663536 sig in 4act.) RANK 11 NODE 9 --> 0.601560473 sigma out 1act.( 0.667633355 sig in 4act.) RANK 12 NODE 4 --> 0.599516749 sigma out 1act.( 0.839857697 sig in 4act.) RANK 13 NODE 13 --> 0.388625085 sigma out 1act.( 0.400032341 sig in 4act.) RANK 14 NODE 8 --> 0.272350341 sigma out 1act.( 0.574211895 sig in 4act.) RANK 15 NODE 2 --> 0.0714930892 sigma out 1act.( 0.377667725 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.5062799 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 11.1074505 sigma out 15 active outputs RANK 2 NODE 1 --> 8.29084015 sigma out 15 active outputs RANK 3 NODE 4 --> 7.08463478 sigma out 15 active outputs RANK 4 NODE 2 --> 5.83690786 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 7.88797808 sigma in 4act. ( 7.96002197 sig out 1act.) RANK 2 NODE 12 --> 7.15496349 sigma in 4act. ( 6.12478256 sig out 1act.) RANK 3 NODE 10 --> 5.65814686 sigma in 4act. ( 3.74236274 sig out 1act.) RANK 4 NODE 14 --> 5.1517601 sigma in 4act. ( 4.00027657 sig out 1act.) RANK 5 NODE 13 --> 4.6017499 sigma in 4act. ( 1.65280533 sig out 1act.) RANK 6 NODE 15 --> 4.55665064 sigma in 4act. ( 2.79858351 sig out 1act.) RANK 7 NODE 11 --> 4.516922 sigma in 4act. ( 3.07875085 sig out 1act.) RANK 8 NODE 7 --> 4.30179691 sigma in 4act. ( 2.5719347 sig out 1act.) RANK 9 NODE 5 --> 3.50365567 sigma in 4act. ( 4.40393829 sig out 1act.) RANK 10 NODE 1 --> 2.39509106 sigma in 4act. ( 1.19081986 sig out 1act.) RANK 11 NODE 2 --> 1.64493287 sigma in 4act. ( 0.31579262 sig out 1act.) RANK 12 NODE 9 --> 1.13031101 sigma in 4act. ( 0.395721763 sig out 1act.) RANK 13 NODE 6 --> 1.02152312 sigma in 4act. ( 0.558462143 sig out 1act.) RANK 14 NODE 8 --> 0.534141004 sigma in 4act. ( 0.0546850823 sig out 1act.) RANK 15 NODE 4 --> 0.484315008 sigma in 4act. ( 0.0493351556 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 7.96002197 sigma out 1act.( 7.88797808 sig in 4act.) RANK 2 NODE 12 --> 6.12478256 sigma out 1act.( 7.15496349 sig in 4act.) RANK 3 NODE 5 --> 4.40393829 sigma out 1act.( 3.50365567 sig in 4act.) RANK 4 NODE 14 --> 4.00027657 sigma out 1act.( 5.1517601 sig in 4act.) RANK 5 NODE 10 --> 3.74236274 sigma out 1act.( 5.65814686 sig in 4act.) RANK 6 NODE 11 --> 3.07875085 sigma out 1act.( 4.516922 sig in 4act.) RANK 7 NODE 15 --> 2.79858351 sigma out 1act.( 4.55665064 sig in 4act.) RANK 8 NODE 7 --> 2.5719347 sigma out 1act.( 4.30179691 sig in 4act.) RANK 9 NODE 13 --> 1.65280533 sigma out 1act.( 4.6017499 sig in 4act.) RANK 10 NODE 1 --> 1.19081986 sigma out 1act.( 2.39509106 sig in 4act.) RANK 11 NODE 6 --> 0.558462143 sigma out 1act.( 1.02152312 sig in 4act.) RANK 12 NODE 9 --> 0.395721763 sigma out 1act.( 1.13031101 sig in 4act.) RANK 13 NODE 2 --> 0.31579262 sigma out 1act.( 1.64493287 sig in 4act.) RANK 14 NODE 8 --> 0.0546850823 sigma out 1act.( 0.534141004 sig in 4act.) RANK 15 NODE 4 --> 0.0493351556 sigma out 1act.( 0.484315008 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.3763275 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.457301438 *** contribution from regularisation: 0.0204767939 *** contribution from error: -0.477778226 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.500607073 *** contribution from regularisation: 0.00753484387 *** contribution from error: -0.508141935 *********************************************** -----------------> Test sample ENTER BFGS code START -2831.49859 0.205453977 0.0353689156 EXIT FROM BFGS code FG_START 0. 0.205453977 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.508569002 *** contribution from regularisation: 0.00636732345 *** contribution from error: -0.514936328 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -2875.95774 0.205453977 0.364537597 EXIT FROM BFGS code FG_LNSRCH 0. 0.210536808 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.511563122 *** contribution from regularisation: 0.0104970597 *** contribution from error: -0.522060156 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2892.88961 0.210536808 -3.02643943 EXIT FROM BFGS code FG_LNSRCH 0. 0.208119661 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.514567971 *** contribution from regularisation: 0.00886373501 *** contribution from error: -0.523431718 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2909.88189 0.208119661 -0.606112838 EXIT FROM BFGS code NEW_X -2909.88189 0.208119661 -0.606112838 ENTER BFGS code NEW_X -2909.88189 0.208119661 -0.606112838 EXIT FROM BFGS code FG_LNSRCH 0. 0.204405636 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.515596271 *** contribution from regularisation: 0.00798771065 *** contribution from error: -0.523584008 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2915.69686 0.204405636 -0.545201898 EXIT FROM BFGS code NEW_X -2915.69686 0.204405636 -0.545201898 ENTER BFGS code NEW_X -2915.69686 0.204405636 -0.545201898 EXIT FROM BFGS code FG_LNSRCH 0. 0.1965193 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.515615344 *** contribution from regularisation: 0.00784786791 *** contribution from error: -0.52346319 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2915.80479 0.1965193 -0.586470306 EXIT FROM BFGS code NEW_X -2915.80479 0.1965193 -0.586470306 ENTER BFGS code NEW_X -2915.80479 0.1965193 -0.586470306 EXIT FROM BFGS code FG_LNSRCH 0. 0.171744809 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.51512599 *** contribution from regularisation: 0.00676250644 *** contribution from error: -0.521888494 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2913.03755 0.171744809 0.0196352266 EXIT FROM BFGS code FG_LNSRCH 0. 0.191280484 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.513771415 *** contribution from regularisation: 0.00952795893 *** contribution from error: -0.523299396 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2905.37746 0.191280484 -0.262028754 EXIT FROM BFGS code FG_LNSRCH 0. 0.196352854 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 6.92052984 sigma out 15 active outputs RANK 2 NODE 3 --> 5.73181772 sigma out 15 active outputs RANK 3 NODE 4 --> 5.35583115 sigma out 15 active outputs RANK 4 NODE 2 --> 5.07286978 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 6.20903921 sigma in 4act. ( 5.85015392 sig out 1act.) RANK 2 NODE 15 --> 4.60132217 sigma in 4act. ( 3.85344863 sig out 1act.) RANK 3 NODE 10 --> 4.1781621 sigma in 4act. ( 3.14241052 sig out 1act.) RANK 4 NODE 14 --> 3.84497643 sigma in 4act. ( 2.93884969 sig out 1act.) RANK 5 NODE 12 --> 3.01424122 sigma in 4act. ( 0.0614613332 sig out 1act.) RANK 6 NODE 13 --> 2.97787237 sigma in 4act. ( 1.93355465 sig out 1act.) RANK 7 NODE 7 --> 2.93424988 sigma in 4act. ( 2.20224857 sig out 1act.) RANK 8 NODE 11 --> 2.77687168 sigma in 4act. ( 1.95925283 sig out 1act.) RANK 9 NODE 5 --> 2.40548491 sigma in 4act. ( 2.39768171 sig out 1act.) RANK 10 NODE 1 --> 1.08260369 sigma in 4act. ( 0.0338333584 sig out 1act.) RANK 11 NODE 2 --> 0.926311731 sigma in 4act. ( 0.489683062 sig out 1act.) RANK 12 NODE 9 --> 0.727922142 sigma in 4act. ( 0.504837215 sig out 1act.) RANK 13 NODE 6 --> 0.635790944 sigma in 4act. ( 0.501568079 sig out 1act.) RANK 14 NODE 8 --> 0.306135803 sigma in 4act. ( 0.198331311 sig out 1act.) RANK 15 NODE 4 --> 0.287584275 sigma in 4act. ( 0.188882396 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 5.85015392 sigma out 1act.( 6.20903921 sig in 4act.) RANK 2 NODE 15 --> 3.85344863 sigma out 1act.( 4.60132217 sig in 4act.) RANK 3 NODE 10 --> 3.14241052 sigma out 1act.( 4.1781621 sig in 4act.) RANK 4 NODE 14 --> 2.93884969 sigma out 1act.( 3.84497643 sig in 4act.) RANK 5 NODE 5 --> 2.39768171 sigma out 1act.( 2.40548491 sig in 4act.) RANK 6 NODE 7 --> 2.20224857 sigma out 1act.( 2.93424988 sig in 4act.) RANK 7 NODE 11 --> 1.95925283 sigma out 1act.( 2.77687168 sig in 4act.) RANK 8 NODE 13 --> 1.93355465 sigma out 1act.( 2.97787237 sig in 4act.) RANK 9 NODE 9 --> 0.504837215 sigma out 1act.( 0.727922142 sig in 4act.) RANK 10 NODE 6 --> 0.501568079 sigma out 1act.( 0.635790944 sig in 4act.) RANK 11 NODE 2 --> 0.489683062 sigma out 1act.( 0.926311731 sig in 4act.) RANK 12 NODE 8 --> 0.198331311 sigma out 1act.( 0.306135803 sig in 4act.) RANK 13 NODE 4 --> 0.188882396 sigma out 1act.( 0.287584275 sig in 4act.) RANK 14 NODE 12 --> 0.0614613332 sigma out 1act.( 3.01424122 sig in 4act.) RANK 15 NODE 1 --> 0.0338333584 sigma out 1act.( 1.08260369 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 9.30522346 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.51554966 *** contribution from regularisation: 0.00790708698 *** contribution from error: -0.523456752 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -2915.43322 0.196352854 -0.584758043 EXIT FROM BFGS code FG_LNSRCH 0. 0.196514636 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.514514208 *** contribution from regularisation: 0.00894896779 *** contribution from error: -0.52346319 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2909.57777 0.196514636 -0.482744515 EXIT FROM BFGS code FG_LNSRCH 0. 0.1965193 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.515688062 *** contribution from regularisation: 0.00777514977 *** contribution from error: -0.52346319 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2916.21601 0.1965193 -0.526566625 EXIT FROM BFGS code FG_LNSRCH 0. 0.1965193 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.515301645 *** contribution from regularisation: 0.00816158857 *** contribution from error: -0.523463249 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2914.0307 0.1965193 -0.5489133 EXIT FROM BFGS code FG_LNSRCH 0. 0.1965193 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.514662147 *** contribution from regularisation: 0.00880105328 *** contribution from error: -0.52346319 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2910.41453 0.1965193 -0.488337487 EXIT FROM BFGS code NEW_X -2910.41453 0.1965193 -0.488337487 ENTER BFGS code NEW_X -2910.41453 0.1965193 -0.488337487 EXIT FROM BFGS code CONVERGENC -2910.41453 0.1965193 -0.488337487 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 10.9997311 sigma out 15 active outputs RANK 2 NODE 4 --> 7.5810008 sigma out 15 active outputs RANK 3 NODE 2 --> 7.24779224 sigma out 15 active outputs RANK 4 NODE 3 --> 7.16371536 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 9.78474617 sigma in 4act. ( 9.02653027 sig out 1act.) RANK 2 NODE 15 --> 7.2494359 sigma in 4act. ( 5.8539257 sig out 1act.) RANK 3 NODE 10 --> 6.0445652 sigma in 4act. ( 4.7469039 sig out 1act.) RANK 4 NODE 14 --> 5.66048288 sigma in 4act. ( 4.32796764 sig out 1act.) RANK 5 NODE 13 --> 3.78133345 sigma in 4act. ( 2.76963139 sig out 1act.) RANK 6 NODE 7 --> 3.76902843 sigma in 4act. ( 3.21749306 sig out 1act.) RANK 7 NODE 5 --> 3.53291464 sigma in 4act. ( 3.56938291 sig out 1act.) RANK 8 NODE 11 --> 3.42593551 sigma in 4act. ( 2.951159 sig out 1act.) RANK 9 NODE 12 --> 3.03412962 sigma in 4act. ( 0.0851788968 sig out 1act.) RANK 10 NODE 1 --> 1.09506094 sigma in 4act. ( 0.0388870873 sig out 1act.) RANK 11 NODE 2 --> 1.00825322 sigma in 4act. ( 0.552156091 sig out 1act.) RANK 12 NODE 9 --> 0.788369417 sigma in 4act. ( 0.551622927 sig out 1act.) RANK 13 NODE 6 --> 0.696941197 sigma in 4act. ( 0.532352507 sig out 1act.) RANK 14 NODE 8 --> 0.320627272 sigma in 4act. ( 0.194895983 sig out 1act.) RANK 15 NODE 4 --> 0.295365214 sigma in 4act. ( 0.183030635 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 9.02653027 sigma out 1act.( 9.78474617 sig in 4act.) RANK 2 NODE 15 --> 5.8539257 sigma out 1act.( 7.2494359 sig in 4act.) RANK 3 NODE 10 --> 4.7469039 sigma out 1act.( 6.0445652 sig in 4act.) RANK 4 NODE 14 --> 4.32796764 sigma out 1act.( 5.66048288 sig in 4act.) RANK 5 NODE 5 --> 3.56938291 sigma out 1act.( 3.53291464 sig in 4act.) RANK 6 NODE 7 --> 3.21749306 sigma out 1act.( 3.76902843 sig in 4act.) RANK 7 NODE 11 --> 2.951159 sigma out 1act.( 3.42593551 sig in 4act.) RANK 8 NODE 13 --> 2.76963139 sigma out 1act.( 3.78133345 sig in 4act.) RANK 9 NODE 2 --> 0.552156091 sigma out 1act.( 1.00825322 sig in 4act.) RANK 10 NODE 9 --> 0.551622927 sigma out 1act.( 0.788369417 sig in 4act.) RANK 11 NODE 6 --> 0.532352507 sigma out 1act.( 0.696941197 sig in 4act.) RANK 12 NODE 8 --> 0.194895983 sigma out 1act.( 0.320627272 sig in 4act.) RANK 13 NODE 4 --> 0.183030635 sigma out 1act.( 0.295365214 sig in 4act.) RANK 14 NODE 12 --> 0.0851788968 sigma out 1act.( 3.03412962 sig in 4act.) RANK 15 NODE 1 --> 0.0388870873 sigma out 1act.( 1.09506094 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.0519352 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.515711129 *** contribution from regularisation: 0.00775206229 *** contribution from error: -0.52346319 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done