NNInput NNInputs_135.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= 80080 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 = 21390 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 21390 Chosen entries: 21390 Signal fraction: 1 Background fraction: 0.364457 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 21390 Entries to split: 21390 Test with : 10695 Train with : 10695 ********************************************* * 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= 21390 for Signal Prepared event 0 for Signal with 21390 events ====Entry 0 Variable Ht : 151.9 Variable LepAPt : 26.1607 Variable LepBPt : 25.0654 Variable MetSigLeptonsJets : 8.30274 Variable MetSpec : 73.5106 Variable SumEtLeptonsJets : 78.3895 Variable VSumJetLeptonsPt : 67.1656 Variable addEt : 124.737 Variable dPhiLepSumMet : 2.27675 Variable dPhiLeptons : 0.0680532 Variable dRLeptons : 0.357007 Variable lep1_E : 27.5308 Variable lep2_E : 25.0757 ===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 = 2135 Ht = 151.9 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 26.1607 LepAPt = 26.1607 LepBEt = 25.0658 LepBPt = 25.0654 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 73.5106 MetDelPhi = 2.242 MetSig = 6.3068 MetSigLeptonsJets = 8.30274 MetSpec = 73.5106 Mjj = 0 MostCentralJetEta = -2.46407 MtllMet = 125.871 Njets = 1 SB = 0 SumEt = 135.857 SumEtJets = 0 SumEtLeptonsJets = 78.3895 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 67.1656 addEt = 124.737 dPhiLepSumMet = 2.27675 dPhiLeptons = 0.0680532 dRLeptons = 0.357007 diltype = 47 dimass = 9.18927 event = 1410 jet1_Et = 27.1634 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 27.5308 lep2_E = 25.0757 rand = 0.999742 run = 230778 weight = 2.37659e-06 ===Show End Prepared event 10000 for Signal with 21390 events Prepared event 20000 for Signal with 21390 events 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= 58690 for Background Prepared event 0 for Background with 58690 events ====Entry 0 Variable Ht : 65.1543 Variable LepAPt : 20.8407 Variable LepBPt : 10.82 Variable MetSigLeptonsJets : 5.95247 Variable MetSpec : 33.4933 Variable SumEtLeptonsJets : 31.6607 Variable VSumJetLeptonsPt : 31.4507 Variable addEt : 65.1543 Variable dPhiLepSumMet : 3.01433 Variable dPhiLeptons : 0.243032 Variable dRLeptons : 0.763155 Variable lep1_E : 24.0883 Variable lep2_E : 10.9808 ===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 = 65.1543 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8411 LepAPt = 20.8407 LepBEt = 10.82 LepBPt = 10.82 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.4933 MetDelPhi = 2.93145 MetSig = 3.89076 MetSigLeptonsJets = 5.95247 MetSpec = 33.4933 Mjj = 0 MostCentralJetEta = 0 MtllMet = 67.7985 Njets = 0 SB = 0 SumEt = 74.1048 SumEtJets = 0 SumEtLeptonsJets = 31.6607 Target = 0 TrainWeight = 1.07378 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.4507 addEt = 65.1543 dPhiLepSumMet = 3.01433 dPhiLeptons = 0.243032 dRLeptons = 0.763155 diltype = 110 dimass = 11.6846 event = 12144548 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 24.0883 lep2_E = 10.9808 rand = 0.999742 run = 272126 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 58690 events Prepared event 20000 for Background with 58690 events Prepared event 30000 for Background with 58690 events Prepared event 40000 for Background with 58690 events Prepared event 50000 for Background with 58690 events Warning: found 1920 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 80080 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 1920 negative weights. Signal fraction: 63.3770866 % ------------------------------ 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 47.0173531 60.4049454 63.5625496 65.5153427 66.7970428 68.2638092 69.5458221 70.3701324 71.3582382 72.0020905 72.854248 73.6311646 74.2562027 74.9090881 75.4664154 76.1915588 76.8721161 77.3586731 77.9771271 78.6440735 79.2026062 79.8119736 80.5018768 81.2146454 82.0377808 82.6101685 83.607338 84.2562408 85.1256866 86.0775986 86.9141388 87.9568253 89.1119843 90.1751099 91.5213776 92.6884918 94.0144806 95.4019852 96.6380463 97.9345093 99.2252579 100.448685 101.557327 102.754173 103.642822 104.942894 106.356781 107.46814 108.448181 109.61882 110.878418 112.002625 113.108536 114.138977 115.324394 116.429123 117.577545 118.798981 119.940643 120.989555 122.121185 123.200104 124.247818 125.415314 126.444153 127.671173 128.78537 129.895767 131.173813 132.427612 133.833191 135.108505 136.645691 138.196274 140.146027 142.280472 143.952942 146.071487 148.023224 149.940781 152.18457 154.38295 156.780823 159.662384 162.430817 165.179474 168.373276 171.340149 174.66008 178.408707 182.355118 186.760483 191.760895 197.782806 204.927994 212.362961 223.800537 240.587219 260.083862 297.651123 655.26355 ------------------------------ Transdef: Tab for variable 3 20.0001564 20.2074871 20.412384 20.6545677 20.8797874 21.0992889 21.2717628 21.4477005 21.660183 21.8973999 22.0655975 22.2999268 22.4777737 22.6497421 22.8838959 23.0641861 23.2474632 23.4527912 23.6334534 23.7880058 23.9873257 24.1595116 24.3842049 24.5799637 24.7648201 24.9829178 25.160923 25.3299484 25.5552711 25.7553749 25.9606056 26.1604729 26.4053001 26.5834122 26.8007145 27.0303841 27.2350502 27.4489288 27.6632309 27.8591309 28.0402985 28.2256355 28.4904938 28.7230225 28.8851871 29.1315041 29.36903 29.6031342 29.8670006 30.1173859 30.3985634 30.603632 30.8844261 31.1498737 31.4380569 31.7156181 31.9362469 32.1926727 32.5106354 32.7414398 32.9886246 33.2808228 33.5589676 33.8237457 34.1214447 34.4359818 34.7418022 35.0349808 35.3566055 35.7175674 36.0303383 36.4048805 36.8194656 37.1821671 37.6063576 37.9800491 38.3276253 38.7758408 39.2270355 39.685833 40.1003227 40.6580048 41.1260185 41.6551361 42.2252579 42.8946571 43.5148354 44.2055893 44.9744263 45.8517075 46.8600464 48.0602951 49.26091 50.6381836 51.9894333 53.6215973 56.1768341 59.1277618 64.2674103 72.7518616 161.648132 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1154709 10.2179136 10.36273 10.4949474 10.6203976 10.7403154 10.8582325 10.9891472 11.0961819 11.2129688 11.327569 11.4615316 11.5766773 11.727644 11.8818026 12.0110512 12.1496716 12.2598715 12.3864861 12.5041828 12.6441345 12.7830944 12.9036856 13.0496082 13.2168913 13.3725471 13.5583191 13.7679462 13.9478731 14.0761662 14.178093 14.3345222 14.4792137 14.6185055 14.7892113 14.9484253 15.1184807 15.2797832 15.440691 15.6366901 15.8686361 16.0580063 16.1988258 16.4173985 16.6172295 16.8094349 17.0041237 17.1897736 17.3948936 17.5640526 17.7481575 17.9746857 18.1574421 18.3317528 18.5018501 18.7150574 18.9127426 19.0927391 19.3029385 19.5349083 19.7765369 20.0032215 20.2431793 20.4449883 20.663475 20.8543549 21.0776443 21.3301239 21.591568 21.8561249 22.0587807 22.2977791 22.5435829 22.8103466 23.096653 23.3613625 23.6026878 23.8921814 24.2075462 24.4955826 24.8039627 25.1810341 25.5673962 25.9271526 26.3308868 26.7392349 27.1362209 27.5547371 27.9621925 28.4747467 29.021389 29.587389 30.2177773 31.0256901 31.9535618 33.2488708 34.9924126 37.8021393 41.9502029 74.1576004 ------------------------------ Transdef: Tab for variable 5 1.07960415 1.99778438 2.41176701 2.64665318 2.87058854 3.06932402 3.21579933 3.35455704 3.53216887 3.70349646 3.81568146 3.94313383 4.07257748 4.17925358 4.29184294 4.41377068 4.51906872 4.6258378 4.73271465 4.8237443 4.90539837 4.98931122 5.06620312 5.12770176 5.20252991 5.26100874 5.29900265 5.36603737 5.42359352 5.46808577 5.50992107 5.55561924 5.5970645 5.64976215 5.70636749 5.75858593 5.78759003 5.84033012 5.87509251 5.91403341 5.96115303 6.00348139 6.03787136 6.07858562 6.12144089 6.16176128 6.20185471 6.24506664 6.28099728 6.32099724 6.36436224 6.40850925 6.43692636 6.48181438 6.51980877 6.56459093 6.61354017 6.64650202 6.6847558 6.72589874 6.76107454 6.80867863 6.86525822 6.89977551 6.93541622 6.98178768 7.02948427 7.08397579 7.12179375 7.1707592 7.2189765 7.27316952 7.32556725 7.37620878 7.42395782 7.47541857 7.5244236 7.58758259 7.64281082 7.69415045 7.75016117 7.80570316 7.86414814 7.92831469 7.98860264 8.06071281 8.13352394 8.2081871 8.28795338 8.36832428 8.4545536 8.56366539 8.66569519 8.79810524 8.93048668 9.07984352 9.28237534 9.51501656 9.93298817 10.550848 19.048111 ------------------------------ Transdef: Tab for variable 6 15.0050735 16.5207272 18.1100197 19.649538 21.2292881 22.7201672 24.2840385 25.3543091 26.7616348 27.6069794 28.4199753 29.1503448 29.9089642 30.5983028 31.2820816 31.9204845 32.4939346 32.9388924 33.4782562 33.8975868 34.2562065 34.6736641 35.0912933 35.4460983 35.7905502 36.214447 36.5213394 36.8657303 37.2199898 37.556015 37.9502411 38.2675095 38.628334 38.908165 39.2262115 39.5982895 39.8843765 40.1630821 40.4686737 40.7998657 41.0825958 41.4314499 41.7506485 42.2470322 42.673317 43.0915794 43.4622459 43.9256363 44.5119934 44.9741669 45.4481583 46.0371742 46.5489578 47.0269318 47.534565 47.9959564 48.6067886 49.0858688 49.6786575 50.178421 50.7207451 51.1637268 51.8018456 52.3217697 52.8231583 53.4178314 54.0394249 54.705719 55.2468224 55.8925476 56.4357758 57.0690994 57.6690788 58.2996063 58.9112854 59.5427704 60.1402893 60.737011 61.360321 62.0536499 62.8496552 63.5966568 64.2728271 65.0186157 65.685318 66.5582886 67.4839706 68.4490433 69.5610886 70.6139069 72.0417633 73.3738022 75.053833 76.8637695 79.1693192 81.6357117 84.925827 89.3491974 95.3430099 105.943848 194.637558 ------------------------------ Transdef: Tab for variable 7 30.1484737 32.2024498 33.0905228 33.8361435 34.4535446 35.0793228 35.5525398 35.9683723 36.3843575 36.7650528 37.1472015 37.471859 37.8083801 38.0580215 38.3290253 38.6110077 38.9743195 39.1693382 39.4136467 39.6787071 40.0329742 40.3395233 40.7095299 41.0680618 41.3877525 41.7796631 42.2584991 42.6504669 43.1999359 43.8001633 44.2998657 44.9554291 45.6232147 46.4520721 47.0761795 47.8829498 48.5413208 49.3065414 50.0912247 50.8817444 51.5253868 52.2986946 52.9727554 53.6785431 54.4178619 55.2263107 55.8600159 56.4822388 57.1470184 57.9554596 58.7340851 59.5299835 60.1875229 60.820076 61.5590897 62.2047577 63.0009918 63.7367172 64.6045303 65.2968292 66.0568085 66.8003693 67.7433014 68.8085403 69.7921753 70.9576416 72.2393494 73.5747986 74.7251434 76.0704041 77.2944946 78.6783752 79.9982071 81.5303345 83.0799789 84.5207977 86.024086 87.4920807 89.3618011 91.271904 93.3595734 95.2450867 97.5177002 99.5611038 101.737122 104.408905 106.895782 109.67733 112.708817 116.169662 119.626694 124.048141 128.735123 134.139343 140.617859 148.377396 157.487671 170.419037 188.3013 214.845459 410.093048 ------------------------------ Transdef: Tab for variable 8 0.331718683 19.130764 23.3208847 26.0858192 28.6340446 30.1540298 31.0816746 31.8387833 32.4992599 33.0999374 33.4035187 33.8864059 34.3117523 34.7000809 35.0115128 35.3110504 35.7095985 36.0493927 36.3234444 36.5933151 36.8424492 37.125679 37.3298988 37.5849991 37.8510666 38.0723877 38.4189758 38.6794968 38.896843 39.0991211 39.3639297 39.6170731 39.8498764 40.1502457 40.3619156 40.580925 40.9728355 41.3408508 41.6474686 41.9995422 42.3439102 42.7328186 43.1545029 43.5894012 44.0090637 44.4375534 44.7963791 45.3432655 45.8627396 46.3548012 46.8505096 47.4043007 47.8982315 48.3816681 48.8638229 49.4445114 49.9852486 50.4083939 50.8823471 51.3910065 51.9639816 52.4472389 52.9635849 53.4102173 53.9232521 54.4636879 55.0277176 55.5375061 55.9966393 56.4990463 57.0331192 57.5518303 58.0983505 58.6936607 59.2566948 59.8470612 60.415741 61.0752373 61.6657944 62.2925224 62.9683304 63.6748886 64.4069519 65.1478043 65.9654388 66.7151489 67.5844269 68.6026993 69.7284851 70.9088593 72.2532578 73.6695328 75.2652893 77.2798691 79.6357269 82.7927856 86.506012 91.3718109 98.0817795 111.880356 264.388885 ------------------------------ Transdef: Tab for variable 9 47.0173531 58.2564545 61.8630447 63.8114624 65.4438782 66.564476 67.5703659 68.7107773 69.6836624 70.4174576 71.3078613 71.9292145 72.6213837 73.378334 73.9770966 74.4426422 75.0449677 75.5221176 76.1448212 76.7761993 77.1785278 77.6772766 78.2688217 78.7627716 79.2275925 79.775177 80.2500153 80.9294281 81.4996185 82.1160889 82.5975647 83.3499451 83.8174438 84.4458618 85.082016 85.813446 86.3987732 87.1221771 87.9124756 88.8643265 89.6061401 90.4271011 91.5008698 92.4532013 93.4311981 94.4472504 95.4350052 96.4478607 97.2885132 98.3599167 99.2392731 100.194229 101.165291 101.937943 102.889328 103.678085 104.732117 105.641602 106.563126 107.489639 108.26828 109.082336 109.998489 110.938362 111.959564 112.735825 113.586884 114.4673 115.38028 116.213486 116.997314 117.895256 118.769913 119.561111 120.399307 121.227135 122.137146 122.991646 123.823257 124.764069 125.687073 126.602104 127.519012 128.365555 129.344086 130.272339 131.422607 132.492371 133.577057 134.668304 135.97197 137.535629 139.444183 141.607117 144.19165 147.354752 151.350601 158.131561 167.083313 186.71167 331.200165 ------------------------------ Transdef: Tab for variable 10 0.02857944 0.844321728 1.14414001 1.3615073 1.51373172 1.63573706 1.75395036 1.83977926 1.9199841 1.99273145 2.05405378 2.11750412 2.18331718 2.23074675 2.28052998 2.32806587 2.3735323 2.41478705 2.44889712 2.48328257 2.51342964 2.54191136 2.56779242 2.58847046 2.61771703 2.63932824 2.66166162 2.68147349 2.7037468 2.7232883 2.74028134 2.75909352 2.77879953 2.79546809 2.81031728 2.82321548 2.83617163 2.85040426 2.86213875 2.8728714 2.88202238 2.89177251 2.90147305 2.91219664 2.92271352 2.92977691 2.93729067 2.94613576 2.95346808 2.95982027 2.96630168 2.97217393 2.97790432 2.98317575 2.98861575 2.99343324 2.99920273 3.0041225 3.00908422 3.01330042 3.01721287 3.02215433 3.02644944 3.0310874 3.0351243 3.03887177 3.04332185 3.04695654 3.0510273 3.05514193 3.05902195 3.06187463 3.06552553 3.06932425 3.07250834 3.07562494 3.07885933 3.08177328 3.08472586 3.08757877 3.09019303 3.09309125 3.09579349 3.09862256 3.10106707 3.10358548 3.10603046 3.10843015 3.11123013 3.11397505 3.11632395 3.11940813 3.12191963 3.12453747 3.12685108 3.12930274 3.13137031 3.13380718 3.13641596 3.13891649 3.1415906 ------------------------------ Transdef: Tab for variable 11 2.05039978E-05 0.00526429899 0.0109339356 0.0164752752 0.0219984055 0.0266008358 0.0334985852 0.0403800011 0.0477509499 0.0553147793 0.0617878437 0.0692477822 0.0772867948 0.0841818452 0.090649128 0.0985929742 0.105034828 0.112006932 0.119336128 0.126985908 0.134535834 0.140263081 0.146150231 0.152648211 0.158123255 0.164427519 0.170313299 0.176306963 0.181416631 0.186302423 0.192676663 0.197052032 0.201528668 0.205731034 0.209605396 0.215492725 0.221157461 0.226237833 0.230012864 0.234472752 0.239475012 0.245079502 0.249724746 0.254613876 0.258680046 0.263282061 0.26850909 0.273473531 0.278356135 0.283467531 0.287954748 0.293183088 0.297945261 0.302607954 0.308427751 0.313913822 0.319520652 0.325243115 0.330658317 0.336818039 0.342661858 0.348396182 0.354612231 0.359066486 0.365746021 0.372315943 0.379622102 0.386288643 0.393719494 0.400025606 0.406615138 0.414593577 0.422810078 0.429252148 0.435731798 0.442325115 0.449095547 0.456449151 0.465515733 0.473020017 0.481211066 0.490976095 0.499727249 0.509026051 0.518363595 0.528849065 0.540124297 0.55168283 0.563332617 0.575817704 0.588370085 0.601072788 0.615473509 0.63151741 0.649215341 0.669594347 0.705124617 0.735944271 0.781451821 0.836828411 1.11914444 ------------------------------ Transdef: Tab for variable 12 0.200026914 0.208548576 0.216444165 0.223680198 0.229392409 0.236619115 0.241919622 0.248596787 0.254647493 0.260532767 0.267102152 0.273436427 0.278738976 0.284903973 0.290178537 0.295780838 0.302066565 0.308008254 0.313584864 0.318794876 0.324223995 0.329676211 0.334234267 0.339117199 0.344142735 0.349373579 0.354506105 0.360525906 0.365561187 0.371099293 0.376439482 0.381997228 0.387618631 0.39249438 0.397730768 0.402075917 0.406771481 0.411447585 0.415519297 0.419617355 0.423921853 0.428017735 0.432404518 0.436244428 0.440570593 0.444846928 0.448984504 0.453411222 0.457920849 0.461692691 0.466667503 0.470870495 0.4759956 0.48040837 0.484998941 0.488848358 0.49290967 0.497832537 0.502361417 0.507333577 0.511378706 0.516082644 0.520763159 0.52553463 0.530238509 0.535813808 0.540468454 0.546465158 0.552398443 0.557087541 0.561923385 0.567842484 0.572989881 0.579652488 0.585350275 0.591669917 0.598439157 0.605449796 0.61224097 0.61919415 0.624792337 0.631132543 0.638040364 0.646155536 0.653508604 0.662839413 0.671537936 0.681166172 0.693948388 0.705410779 0.716937304 0.730979204 0.74402225 0.759813428 0.774869859 0.792963624 0.814135134 0.835052073 0.867834449 0.904825091 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0471687 21.2385025 21.7452621 22.3108826 22.699337 23.2961178 23.6817265 24.0133686 24.3642845 24.6533127 25.0025902 25.4045181 25.6730156 25.9712791 26.2868843 26.6028366 26.9040565 27.1919327 27.5164261 27.7879868 28.1207161 28.3348579 28.6414871 28.9502335 29.2623253 29.5735741 29.9276428 30.202179 30.4564667 30.6792736 30.9018803 31.1831131 31.4699078 31.7095032 31.9590645 32.1717834 32.4305573 32.7081795 33.0287628 33.3146515 33.6464005 33.9859161 34.2166061 34.5635757 34.8848038 35.1704483 35.4423904 35.7502518 36.0843811 36.383194 36.7166977 37.0354309 37.4586296 37.8434906 38.1301193 38.4658508 38.848526 39.1979485 39.566227 39.9345551 40.3590546 40.7588196 41.1579247 41.5477676 41.9395523 42.4122505 42.8435211 43.2621307 43.7652245 44.2101517 44.7429047 45.1854401 45.6517372 46.2436295 46.8125839 47.4514236 48.1194229 48.8752823 49.5978432 50.3273773 51.0507736 51.887146 52.7462845 53.4833794 54.349678 55.3725815 56.3433418 57.3221359 58.3723221 59.590332 61.1317253 62.6672096 64.7896729 67.0033417 69.3381805 72.4459229 75.5452576 80.2784348 86.1501465 97.4002991 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0191622 10.63167 11.0060167 11.263689 11.5816498 11.8772163 12.1821814 12.4172201 12.6551838 12.8484955 13.057045 13.2279596 13.4324799 13.7031174 13.9436798 14.1319122 14.3476362 14.5300732 14.7154827 14.8624525 15.0509233 15.25387 15.4711075 15.6643076 15.8751965 16.0816727 16.2928276 16.4783287 16.7397346 16.9388046 17.1490479 17.3672142 17.5638313 17.7670155 17.9930267 18.2158508 18.4630547 18.67803 18.9295864 19.1548538 19.3733444 19.6324253 19.8916683 20.0965958 20.2911949 20.5309639 20.7713814 20.9768219 21.2042046 21.4478683 21.6656685 21.9015923 22.1938133 22.4008522 22.664938 22.9092541 23.1683388 23.3869457 23.6225166 23.9279404 24.185009 24.4359627 24.7404747 24.9614716 25.2428532 25.5113602 25.7853107 26.0832634 26.4149189 26.7067413 26.9465332 27.2868805 27.6230011 27.9852524 28.3180141 28.6695938 28.9723358 29.284111 29.6564789 30.1007843 30.6045265 31.0953369 31.4567165 31.9926357 32.5917511 33.1735001 33.8187256 34.4454803 35.109066 35.8860397 36.7121658 37.5577927 38.5438156 39.6312561 41.1688919 42.8659668 44.9577789 47.2160339 51.3041077 58.9242935 115.518631 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 59.8 43.5 41.6 12.7 33.6 58.2 42.6 54.3 -30.5 -3.3 -14.8 24.9 26.1 2 59.8 100.0 65.8 54.5 19.1 54.1 94.1 62.1 88.4 -48.6 -14.0 -32.9 45.8 38.1 3 43.5 65.8 100.0 35.4 -2.4 23.1 68.8 44.2 69.6 -20.5 -17.0 -37.8 76.4 23.1 4 41.6 54.5 35.4 100.0 4.3 24.7 54.9 39.2 59.2 -13.1 -19.4 -42.7 24.6 80.5 5 12.7 19.1 -2.4 4.3 100.0 83.5 -10.0 55.5 49.4 34.0 0.7 0.5 -6.8 0.0 6 33.6 54.1 23.1 24.7 83.5 100.0 29.9 76.0 73.3 4.4 -4.3 -12.3 12.4 15.0 7 58.2 94.1 68.8 54.9 -10.0 29.9 100.0 50.1 74.2 -57.8 -13.7 -33.2 49.4 39.7 8 42.6 62.1 44.2 39.2 55.5 76.0 50.1 100.0 77.9 -3.1 -11.5 -24.1 29.8 27.2 9 54.3 88.4 69.6 59.2 49.4 73.3 74.2 77.9 100.0 -18.7 -16.4 -37.4 49.1 42.1 10 -30.5 -48.6 -20.5 -13.1 34.0 4.4 -57.8 -3.1 -18.7 100.0 2.4 6.9 -13.1 -7.6 11 -3.3 -14.0 -17.0 -19.4 0.7 -4.3 -13.7 -11.5 -16.4 2.4 100.0 52.6 -12.6 -18.2 12 -14.8 -32.9 -37.8 -42.7 0.5 -12.3 -33.2 -24.1 -37.4 6.9 52.6 100.0 -22.2 -26.6 13 24.9 45.8 76.4 24.6 -6.8 12.4 49.4 29.8 49.1 -13.1 -12.6 -22.2 100.0 39.2 14 26.1 38.1 23.1 80.5 0.0 15.0 39.7 27.2 42.1 -7.6 -18.2 -26.6 39.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 138.207157 TOTAL CORRELATION OF ALL VARIABLES 64.883792 ROUND 1: MAX CORR ( 64.877493) AFTER KILLING INPUT VARIABLE 6 CONTR 0.904082555 ROUND 2: MAX CORR ( 64.8559011) AFTER KILLING INPUT VARIABLE 11 CONTR 1.67367508 ROUND 3: MAX CORR ( 64.7878819) AFTER KILLING INPUT VARIABLE 14 CONTR 2.96955725 ROUND 4: MAX CORR ( 64.6820511) AFTER KILLING INPUT VARIABLE 7 CONTR 3.7016092 ROUND 5: MAX CORR ( 64.2780281) AFTER KILLING INPUT VARIABLE 10 CONTR 7.21822961 ROUND 6: MAX CORR ( 63.7033245) AFTER KILLING INPUT VARIABLE 8 CONTR 8.57620793 ROUND 7: MAX CORR ( 62.9980064) AFTER KILLING INPUT VARIABLE 13 CONTR 9.45329258 ROUND 8: MAX CORR ( 62.2510744) AFTER KILLING INPUT VARIABLE 12 CONTR 9.67225654 ROUND 9: MAX CORR ( 61.1304261) AFTER KILLING INPUT VARIABLE 9 CONTR 11.7587104 ROUND 10: MAX CORR ( 61.0389429) AFTER KILLING INPUT VARIABLE 5 CONTR 3.34311879 ROUND 11: MAX CORR ( 60.7859755) AFTER KILLING INPUT VARIABLE 3 CONTR 5.55137285 ROUND 12: MAX CORR ( 59.8316758) AFTER KILLING INPUT VARIABLE 4 CONTR 10.7287179 LAST REMAINING VARIABLE: 2 total correlation to target: 64.883792 % total significance: 84.3303112 sigma correlations of single variables to target: variable 2: 59.8316758 % , in sigma: 77.7640098 variable 3: 43.5021932 % , in sigma: 56.5403682 variable 4: 41.6104111 % , in sigma: 54.0815943 variable 5: 12.7385393 % , in sigma: 16.5564458 variable 6: 33.5687944 % , in sigma: 43.6298001 variable 7: 58.2040914 % , in sigma: 75.6486172 variable 8: 42.5573355 % , in sigma: 55.3123244 variable 9: 54.3089238 % , in sigma: 70.586017 variable 10: -30.5179755 % , in sigma: 39.664611 variable 11: -3.26581291 % , in sigma: 4.24461966 variable 12: -14.8372404 % , in sigma: 19.284155 variable 13: 24.8514448 % , in sigma: 32.2997471 variable 14: 26.0832293 % , in sigma: 33.9007136 variables sorted by significance: 1 most relevant variable 2 corr 59.8316765 , in sigma: 77.7640107 2 most relevant variable 4 corr 10.7287178 , in sigma: 13.9442545 3 most relevant variable 3 corr 5.551373 , in sigma: 7.21519194 4 most relevant variable 5 corr 3.34311867 , in sigma: 4.34509496 5 most relevant variable 9 corr 11.7587099 , in sigma: 15.2829487 6 most relevant variable 12 corr 9.67225647 , in sigma: 12.571158 7 most relevant variable 13 corr 9.45329285 , in sigma: 12.2865681 8 most relevant variable 8 corr 8.57620811 , in sigma: 11.1466096 9 most relevant variable 10 corr 7.21822977 , in sigma: 9.38162743 10 most relevant variable 7 corr 3.70160913 , in sigma: 4.8110297 11 most relevant variable 14 corr 2.96955729 , in sigma: 3.85957236 12 most relevant variable 11 corr 1.67367506 , in sigma: 2.17529732 13 most relevant variable 6 corr 0.904082537 , in sigma: 1.17504787 global correlations between input variables: variable 2: 99.1527967 % variable 3: 93.6997296 % variable 4: 92.0363269 % variable 5: 95.1717949 % variable 6: 93.5115408 % variable 7: 98.7565105 % variable 8: 86.7808558 % variable 9: 98.7095374 % variable 10: 73.6651689 % variable 11: 54.4185955 % variable 12: 66.8556769 % variable 13: 86.3664922 % variable 14: 88.9030574 % significance loss when removing single variables: variable 2: corr = 5.40322457 % , sigma = 7.02264149 variable 3: corr = 13.7538284 % , sigma = 17.8760302 variable 4: corr = 13.6057384 % , sigma = 17.6835557 variable 5: corr = 10.7875329 % , sigma = 14.0206973 variable 6: corr = 0.904082555 % , sigma = 1.1750479 variable 7: corr = 3.59049258 % , sigma = 4.66661007 variable 8: corr = 6.31063098 % , sigma = 8.20200944 variable 9: corr = 9.99466605 % , sigma = 12.9901979 variable 10: corr = 6.94822994 % , sigma = 9.03070513 variable 11: corr = 1.70079277 % , sigma = 2.21054256 variable 12: corr = 8.22343815 % , sigma = 10.6881099 variable 13: corr = 5.44438404 % , sigma = 7.07613698 variable 14: corr = 2.73699643 % , sigma = 3.55730998 Keep only 10 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 11 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 17.1430931 sigma out 15 active outputs RANK 2 NODE 9 --> 16.2159328 sigma out 15 active outputs RANK 3 NODE 8 --> 12.8491077 sigma out 15 active outputs RANK 4 NODE 4 --> 12.7193422 sigma out 15 active outputs RANK 5 NODE 11 --> 11.8521891 sigma out 15 active outputs RANK 6 NODE 1 --> 10.4427204 sigma out 15 active outputs RANK 7 NODE 2 --> 10.1908627 sigma out 15 active outputs RANK 8 NODE 7 --> 9.32706165 sigma out 15 active outputs RANK 9 NODE 6 --> 8.90095711 sigma out 15 active outputs RANK 10 NODE 5 --> 8.30033016 sigma out 15 active outputs RANK 11 NODE 3 --> 6.48432636 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 22.7406464 sigma in 11act. ( 24.932497 sig out 1act.) RANK 2 NODE 13 --> 15.4440632 sigma in 11act. ( 15.948884 sig out 1act.) RANK 3 NODE 1 --> 14.5175419 sigma in 11act. ( 15.6615677 sig out 1act.) RANK 4 NODE 14 --> 12.7490406 sigma in 11act. ( 13.9098072 sig out 1act.) RANK 5 NODE 12 --> 9.16282749 sigma in 11act. ( 9.50355911 sig out 1act.) RANK 6 NODE 4 --> 8.98984814 sigma in 11act. ( 9.03941059 sig out 1act.) RANK 7 NODE 5 --> 7.28829193 sigma in 11act. ( 8.29360771 sig out 1act.) RANK 8 NODE 10 --> 6.76390409 sigma in 11act. ( 7.67584801 sig out 1act.) RANK 9 NODE 9 --> 5.23401594 sigma in 11act. ( 5.80227566 sig out 1act.) RANK 10 NODE 15 --> 4.67735291 sigma in 11act. ( 3.19151545 sig out 1act.) RANK 11 NODE 7 --> 4.26604509 sigma in 11act. ( 3.66210389 sig out 1act.) RANK 12 NODE 11 --> 4.00877762 sigma in 11act. ( 5.13963127 sig out 1act.) RANK 13 NODE 3 --> 4.00256348 sigma in 11act. ( 4.24244165 sig out 1act.) RANK 14 NODE 8 --> 3.75582576 sigma in 11act. ( 4.0958581 sig out 1act.) RANK 15 NODE 2 --> 2.82816958 sigma in 11act. ( 3.33858609 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 24.932497 sigma out 1act.( 22.7406464 sig in 11act.) RANK 2 NODE 13 --> 15.948884 sigma out 1act.( 15.4440632 sig in 11act.) RANK 3 NODE 1 --> 15.6615677 sigma out 1act.( 14.5175419 sig in 11act.) RANK 4 NODE 14 --> 13.9098072 sigma out 1act.( 12.7490406 sig in 11act.) RANK 5 NODE 12 --> 9.50355911 sigma out 1act.( 9.16282749 sig in 11act.) RANK 6 NODE 4 --> 9.03941059 sigma out 1act.( 8.98984814 sig in 11act.) RANK 7 NODE 5 --> 8.29360771 sigma out 1act.( 7.28829193 sig in 11act.) RANK 8 NODE 10 --> 7.67584801 sigma out 1act.( 6.76390409 sig in 11act.) RANK 9 NODE 9 --> 5.80227566 sigma out 1act.( 5.23401594 sig in 11act.) RANK 10 NODE 11 --> 5.13963127 sigma out 1act.( 4.00877762 sig in 11act.) RANK 11 NODE 3 --> 4.24244165 sigma out 1act.( 4.00256348 sig in 11act.) RANK 12 NODE 8 --> 4.0958581 sigma out 1act.( 3.75582576 sig in 11act.) RANK 13 NODE 7 --> 3.66210389 sigma out 1act.( 4.26604509 sig in 11act.) RANK 14 NODE 2 --> 3.33858609 sigma out 1act.( 2.82816958 sig in 11act.) RANK 15 NODE 15 --> 3.19151545 sigma out 1act.( 4.67735291 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 41.7623558 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 18.6488113 sigma out 15 active outputs RANK 2 NODE 10 --> 17.7889347 sigma out 15 active outputs RANK 3 NODE 9 --> 17.3458157 sigma out 15 active outputs RANK 4 NODE 4 --> 14.5078287 sigma out 15 active outputs RANK 5 NODE 8 --> 14.2250109 sigma out 15 active outputs RANK 6 NODE 1 --> 12.829565 sigma out 15 active outputs RANK 7 NODE 2 --> 11.7324181 sigma out 15 active outputs RANK 8 NODE 7 --> 11.4792814 sigma out 15 active outputs RANK 9 NODE 6 --> 10.2403717 sigma out 15 active outputs RANK 10 NODE 5 --> 9.43463612 sigma out 15 active outputs RANK 11 NODE 3 --> 8.33867073 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 21.4785709 sigma in 11act. ( 23.2493992 sig out 1act.) RANK 2 NODE 1 --> 17.4325066 sigma in 11act. ( 16.0464535 sig out 1act.) RANK 3 NODE 13 --> 16.2459297 sigma in 11act. ( 14.4965763 sig out 1act.) RANK 4 NODE 14 --> 14.5306129 sigma in 11act. ( 13.7082968 sig out 1act.) RANK 5 NODE 5 --> 10.4308071 sigma in 11act. ( 8.41460323 sig out 1act.) RANK 6 NODE 4 --> 10.1851597 sigma in 11act. ( 8.25187016 sig out 1act.) RANK 7 NODE 9 --> 10.0751753 sigma in 11act. ( 6.39773178 sig out 1act.) RANK 8 NODE 11 --> 9.30615711 sigma in 11act. ( 6.22753668 sig out 1act.) RANK 9 NODE 3 --> 9.16434479 sigma in 11act. ( 4.60677958 sig out 1act.) RANK 10 NODE 12 --> 9.05495644 sigma in 11act. ( 8.12453461 sig out 1act.) RANK 11 NODE 2 --> 8.72123241 sigma in 11act. ( 3.99731231 sig out 1act.) RANK 12 NODE 10 --> 8.20479012 sigma in 11act. ( 7.80698156 sig out 1act.) RANK 13 NODE 7 --> 7.71634912 sigma in 11act. ( 3.37292361 sig out 1act.) RANK 14 NODE 8 --> 6.27585363 sigma in 11act. ( 4.84315491 sig out 1act.) RANK 15 NODE 15 --> 5.11217928 sigma in 11act. ( 1.87893093 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 23.2493992 sigma out 1act.( 21.4785709 sig in 11act.) RANK 2 NODE 1 --> 16.0464535 sigma out 1act.( 17.4325066 sig in 11act.) RANK 3 NODE 13 --> 14.4965763 sigma out 1act.( 16.2459297 sig in 11act.) RANK 4 NODE 14 --> 13.7082968 sigma out 1act.( 14.5306129 sig in 11act.) RANK 5 NODE 5 --> 8.41460323 sigma out 1act.( 10.4308071 sig in 11act.) RANK 6 NODE 4 --> 8.25187016 sigma out 1act.( 10.1851597 sig in 11act.) RANK 7 NODE 12 --> 8.12453461 sigma out 1act.( 9.05495644 sig in 11act.) RANK 8 NODE 10 --> 7.80698156 sigma out 1act.( 8.20479012 sig in 11act.) RANK 9 NODE 9 --> 6.39773178 sigma out 1act.( 10.0751753 sig in 11act.) RANK 10 NODE 11 --> 6.22753668 sigma out 1act.( 9.30615711 sig in 11act.) RANK 11 NODE 8 --> 4.84315491 sigma out 1act.( 6.27585363 sig in 11act.) RANK 12 NODE 3 --> 4.60677958 sigma out 1act.( 9.16434479 sig in 11act.) RANK 13 NODE 2 --> 3.99731231 sigma out 1act.( 8.72123241 sig in 11act.) RANK 14 NODE 7 --> 3.37292361 sigma out 1act.( 7.71634912 sig in 11act.) RANK 15 NODE 15 --> 1.87893093 sigma out 1act.( 5.11217928 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 40.2147293 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.423472464 *** contribution from regularisation: 0.00924944133 *** contribution from error: -0.432721913 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.469512969 *** contribution from regularisation: 0.00515980087 *** contribution from error: -0.474672765 *********************************************** -----------------> Test sample ENTER BFGS code START -18803.3033 0.00220395694 0.0978411585 EXIT FROM BFGS code FG_START 0. 0.00220395694 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.485592514 *** contribution from regularisation: 0.00462874724 *** contribution from error: -0.490221262 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -19443.1243 0.00220395694 51.2050056 EXIT FROM BFGS code FG_LNSRCH 0. 0.0253900234 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.514609158 *** contribution from regularisation: 0.00598061411 *** contribution from error: -0.520589769 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20604.9496 0.0253900234 0.787346125 EXIT FROM BFGS code NEW_X -20604.9496 0.0253900234 0.787346125 ENTER BFGS code NEW_X -20604.9496 0.0253900234 0.787346125 EXIT FROM BFGS code FG_LNSRCH 0. 0.0267608892 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.517249227 *** contribution from regularisation: 0.00610243762 *** contribution from error: -0.523351669 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20710.6592 0.0267608892 12.7646141 EXIT FROM BFGS code NEW_X -20710.6592 0.0267608892 12.7646141 ENTER BFGS code NEW_X -20710.6592 0.0267608892 12.7646141 EXIT FROM BFGS code FG_LNSRCH 0. 0.0400509052 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.518500626 *** contribution from regularisation: 0.00611365447 *** contribution from error: -0.524614275 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20760.7654 0.0400509052 14.4339523 EXIT FROM BFGS code NEW_X -20760.7654 0.0400509052 14.4339523 ENTER BFGS code NEW_X -20760.7654 0.0400509052 14.4339523 EXIT FROM BFGS code FG_LNSRCH 0. 0.0616853237 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.51893276 *** contribution from regularisation: 0.00604615919 *** contribution from error: -0.524978936 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20778.0678 0.0616853237 16.0791569 EXIT FROM BFGS code NEW_X -20778.0678 0.0616853237 16.0791569 ENTER BFGS code NEW_X -20778.0678 0.0616853237 16.0791569 EXIT FROM BFGS code FG_LNSRCH 0. 0.0930875689 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.519458234 *** contribution from regularisation: 0.00584455952 *** contribution from error: -0.525302768 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20799.1088 0.0930875689 6.80938864 EXIT FROM BFGS code NEW_X -20799.1088 0.0930875689 6.80938864 ENTER BFGS code NEW_X -20799.1088 0.0930875689 6.80938864 EXIT FROM BFGS code FG_LNSRCH 0. 0.282616019 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.521416366 *** contribution from regularisation: 0.00457370561 *** contribution from error: -0.525990069 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20877.5103 0.282616019 27.7835789 EXIT FROM BFGS code NEW_X -20877.5103 0.282616019 27.7835789 ENTER BFGS code NEW_X -20877.5103 0.282616019 27.7835789 EXIT FROM BFGS code FG_LNSRCH 0. 0.465476781 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 27.6068783 sigma out 15 active outputs RANK 2 NODE 5 --> 19.2241249 sigma out 15 active outputs RANK 3 NODE 1 --> 17.4176769 sigma out 15 active outputs RANK 4 NODE 3 --> 13.9417419 sigma out 15 active outputs RANK 5 NODE 6 --> 10.4262676 sigma out 15 active outputs RANK 6 NODE 2 --> 10.2203608 sigma out 15 active outputs RANK 7 NODE 9 --> 8.90942669 sigma out 15 active outputs RANK 8 NODE 7 --> 7.55046368 sigma out 15 active outputs RANK 9 NODE 4 --> 6.33150578 sigma out 15 active outputs RANK 10 NODE 8 --> 6.17404604 sigma out 15 active outputs RANK 11 NODE 10 --> 5.74307728 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 23.8916111 sigma in 11act. ( 27.829071 sig out 1act.) RANK 2 NODE 1 --> 18.7640095 sigma in 11act. ( 14.9107447 sig out 1act.) RANK 3 NODE 6 --> 15.7624331 sigma in 11act. ( 16.8582077 sig out 1act.) RANK 4 NODE 9 --> 14.2793436 sigma in 11act. ( 12.3439989 sig out 1act.) RANK 5 NODE 5 --> 13.1011238 sigma in 11act. ( 12.0109844 sig out 1act.) RANK 6 NODE 13 --> 11.8710947 sigma in 11act. ( 11.9804907 sig out 1act.) RANK 7 NODE 11 --> 10.568368 sigma in 11act. ( 9.22379684 sig out 1act.) RANK 8 NODE 2 --> 9.09971046 sigma in 11act. ( 6.68399763 sig out 1act.) RANK 9 NODE 8 --> 8.90149403 sigma in 11act. ( 6.68645 sig out 1act.) RANK 10 NODE 12 --> 7.90034151 sigma in 11act. ( 7.8989377 sig out 1act.) RANK 11 NODE 10 --> 4.97463036 sigma in 11act. ( 3.78931069 sig out 1act.) RANK 12 NODE 3 --> 4.92190075 sigma in 11act. ( 2.89318824 sig out 1act.) RANK 13 NODE 4 --> 2.80754828 sigma in 11act. ( 1.07825494 sig out 1act.) RANK 14 NODE 15 --> 2.26590657 sigma in 11act. ( 1.65958548 sig out 1act.) RANK 15 NODE 7 --> 2.06037235 sigma in 11act. ( 0.516333103 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 27.829071 sigma out 1act.( 23.8916111 sig in 11act.) RANK 2 NODE 6 --> 16.8582077 sigma out 1act.( 15.7624331 sig in 11act.) RANK 3 NODE 1 --> 14.9107447 sigma out 1act.( 18.7640095 sig in 11act.) RANK 4 NODE 9 --> 12.3439989 sigma out 1act.( 14.2793436 sig in 11act.) RANK 5 NODE 5 --> 12.0109844 sigma out 1act.( 13.1011238 sig in 11act.) RANK 6 NODE 13 --> 11.9804907 sigma out 1act.( 11.8710947 sig in 11act.) RANK 7 NODE 11 --> 9.22379684 sigma out 1act.( 10.568368 sig in 11act.) RANK 8 NODE 12 --> 7.8989377 sigma out 1act.( 7.90034151 sig in 11act.) RANK 9 NODE 8 --> 6.68645 sigma out 1act.( 8.90149403 sig in 11act.) RANK 10 NODE 2 --> 6.68399763 sigma out 1act.( 9.09971046 sig in 11act.) RANK 11 NODE 10 --> 3.78931069 sigma out 1act.( 4.97463036 sig in 11act.) RANK 12 NODE 3 --> 2.89318824 sigma out 1act.( 4.92190075 sig in 11act.) RANK 13 NODE 15 --> 1.65958548 sigma out 1act.( 2.26590657 sig in 11act.) RANK 14 NODE 4 --> 1.07825494 sigma out 1act.( 2.80754828 sig in 11act.) RANK 15 NODE 7 --> 0.516333103 sigma out 1act.( 2.06037235 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 44.5525055 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.519130707 *** contribution from regularisation: 0.00650670379 *** contribution from error: -0.525637388 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -20785.9946 0.465476781 -101.455742 EXIT FROM BFGS code FG_LNSRCH 0. 0.328874737 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.521298528 *** contribution from regularisation: 0.0055596251 *** contribution from error: -0.526858151 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20872.7934 0.328874737 -6.00335836 EXIT FROM BFGS code FG_LNSRCH 0. 0.293114573 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.520316064 *** contribution from regularisation: 0.00592666818 *** contribution from error: -0.526242733 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20833.4542 0.293114573 21.0673122 EXIT FROM BFGS code FG_LNSRCH 0. 0.282948881 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.520197809 *** contribution from regularisation: 0.00580140762 *** contribution from error: -0.525999188 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20828.7214 0.282948881 28.6569023 EXIT FROM BFGS code FG_LNSRCH 0. 0.282616377 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.520202994 *** contribution from regularisation: 0.00578704569 *** contribution from error: -0.525990069 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20828.9286 0.282616377 29.0348587 EXIT FROM BFGS code FG_LNSRCH 0. 0.282616019 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.520231843 *** contribution from regularisation: 0.00575818308 *** contribution from error: -0.525990009 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20830.0838 0.282616019 29.0356388 EXIT FROM BFGS code FG_LNSRCH 0. 0.282616019 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.520193696 *** contribution from regularisation: 0.00579634914 *** contribution from error: -0.525990069 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20828.5556 0.282616019 29.1434937 EXIT FROM BFGS code FG_LNSRCH 0. 0.282616019 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.520233393 *** contribution from regularisation: 0.00575667201 *** contribution from error: -0.525990069 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20830.1443 0.282616019 29.1891136 EXIT FROM BFGS code NEW_X -20830.1443 0.282616019 29.1891136 ENTER BFGS code NEW_X -20830.1443 0.282616019 29.1891136 EXIT FROM BFGS code CONVERGENC -20830.1443 0.282616019 29.1891136 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 37.6401062 sigma out 15 active outputs RANK 2 NODE 1 --> 20.9854908 sigma out 15 active outputs RANK 3 NODE 5 --> 20.6550465 sigma out 15 active outputs RANK 4 NODE 3 --> 17.7825718 sigma out 15 active outputs RANK 5 NODE 2 --> 13.9471016 sigma out 15 active outputs RANK 6 NODE 6 --> 11.7368565 sigma out 15 active outputs RANK 7 NODE 7 --> 11.559392 sigma out 15 active outputs RANK 8 NODE 9 --> 11.2429085 sigma out 15 active outputs RANK 9 NODE 8 --> 10.4811945 sigma out 15 active outputs RANK 10 NODE 4 --> 8.97058868 sigma out 15 active outputs RANK 11 NODE 10 --> 7.90795946 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 27.4792995 sigma in 11act. ( 33.6245499 sig out 1act.) RANK 2 NODE 1 --> 23.0746613 sigma in 11act. ( 19.6877403 sig out 1act.) RANK 3 NODE 6 --> 21.1784649 sigma in 11act. ( 21.775507 sig out 1act.) RANK 4 NODE 9 --> 20.6747913 sigma in 11act. ( 17.0449066 sig out 1act.) RANK 5 NODE 5 --> 16.3404255 sigma in 11act. ( 14.7221985 sig out 1act.) RANK 6 NODE 11 --> 15.2821264 sigma in 11act. ( 12.5487757 sig out 1act.) RANK 7 NODE 13 --> 14.9232635 sigma in 11act. ( 14.6371298 sig out 1act.) RANK 8 NODE 2 --> 13.4565048 sigma in 11act. ( 10.863636 sig out 1act.) RANK 9 NODE 8 --> 11.8180332 sigma in 11act. ( 8.74064636 sig out 1act.) RANK 10 NODE 12 --> 9.0225935 sigma in 11act. ( 9.34257126 sig out 1act.) RANK 11 NODE 10 --> 7.83716583 sigma in 11act. ( 6.0527339 sig out 1act.) RANK 12 NODE 3 --> 7.21955729 sigma in 11act. ( 5.51147509 sig out 1act.) RANK 13 NODE 4 --> 4.4262538 sigma in 11act. ( 2.62735415 sig out 1act.) RANK 14 NODE 7 --> 3.43105435 sigma in 11act. ( 0.18828015 sig out 1act.) RANK 15 NODE 15 --> 3.36737466 sigma in 11act. ( 2.46390772 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 33.6245499 sigma out 1act.( 27.4792995 sig in 11act.) RANK 2 NODE 6 --> 21.775507 sigma out 1act.( 21.1784649 sig in 11act.) RANK 3 NODE 1 --> 19.6877403 sigma out 1act.( 23.0746613 sig in 11act.) RANK 4 NODE 9 --> 17.0449066 sigma out 1act.( 20.6747913 sig in 11act.) RANK 5 NODE 5 --> 14.7221985 sigma out 1act.( 16.3404255 sig in 11act.) RANK 6 NODE 13 --> 14.6371298 sigma out 1act.( 14.9232635 sig in 11act.) RANK 7 NODE 11 --> 12.5487757 sigma out 1act.( 15.2821264 sig in 11act.) RANK 8 NODE 2 --> 10.863636 sigma out 1act.( 13.4565048 sig in 11act.) RANK 9 NODE 12 --> 9.34257126 sigma out 1act.( 9.0225935 sig in 11act.) RANK 10 NODE 8 --> 8.74064636 sigma out 1act.( 11.8180332 sig in 11act.) RANK 11 NODE 10 --> 6.0527339 sigma out 1act.( 7.83716583 sig in 11act.) RANK 12 NODE 3 --> 5.51147509 sigma out 1act.( 7.21955729 sig in 11act.) RANK 13 NODE 4 --> 2.62735415 sigma out 1act.( 4.4262538 sig in 11act.) RANK 14 NODE 15 --> 2.46390772 sigma out 1act.( 3.36737466 sig in 11act.) RANK 15 NODE 7 --> 0.18828015 sigma out 1act.( 3.43105435 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 56.8603706 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.520187438 *** contribution from regularisation: 0.00580259832 *** contribution from error: -0.525990009 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25970 Closing output file done