NNInput NNInputs_190.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= 168912 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 = 29112 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 29112 Chosen entries: 29112 Signal fraction: 1 Background fraction: 0.20824 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 29112 Entries to split: 29112 Test with : 14556 Train with : 14556 ********************************************* * 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= 29112 for Signal Prepared event 0 for Signal with 29112 events ====Entry 0 Variable Ht : 164.033 Variable LepAPt : 20.0646 Variable LepBPt : 18.6389 Variable MetSigLeptonsJets : 6.96649 Variable MetSpec : 68.1982 Variable SumEtLeptonsJets : 95.8338 Variable VSumJetLeptonsPt : 84.1337 Variable addEt : 106.903 Variable dPhiLepSumMet : 2.65696 Variable dPhiLeptons : 0.471814 Variable dRLeptons : 0.543149 Variable lep1_E : 20.1541 Variable lep2_E : 18.9253 ===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 = 2190 Ht = 164.033 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.0651 LepAPt = 20.0646 LepBEt = 18.6394 LepBPt = 18.6389 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 68.1982 MetDelPhi = 2.4122 MetSig = 5.50681 MetSigLeptonsJets = 6.96649 MetSpec = 68.1982 Mjj = 0 MostCentralJetEta = -1.38092 MtllMet = 107.269 Njets = 1 SB = 0 SumEt = 153.372 SumEtJets = 0 SumEtLeptonsJets = 95.8338 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 84.1337 addEt = 106.903 dPhiLepSumMet = 2.65696 dPhiLeptons = 0.471814 dRLeptons = 0.543149 diltype = 41 dimass = 10.4421 event = 86 jet1_Et = 57.1302 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 20.1541 lep2_E = 18.9253 rand = 0.999742 run = 228406 weight = 1.62738e-06 ===Show End Prepared event 10000 for Signal with 29112 events Prepared event 20000 for Signal with 29112 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= 139800 for Background Prepared event 0 for Background with 139800 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===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 = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.16929 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4395 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 168912 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 4395 negative weights. Signal fraction: 62.1271324 % ------------------------------ 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 60.0019798 63.3295364 65.528244 67.2536316 68.4872284 69.7378616 70.7071991 71.6176758 72.6343079 73.4299164 74.1009674 74.695816 75.3752518 75.859169 76.654274 77.1725769 77.8207703 78.4562149 79.0987244 79.6035767 80.2170258 80.8759155 81.5220642 82.2140045 82.7141724 83.5191803 84.5510101 85.545929 86.5210342 87.6225815 88.9112854 90.2208862 91.9664917 93.1035614 94.4762878 96.2465668 98.0019379 99.6097336 101.245544 103.161819 104.878128 106.337883 108.099396 109.822052 111.704109 113.391968 115.163078 116.87336 118.968857 120.707458 122.473358 124.254623 125.998688 127.830376 129.632446 131.437943 133.269257 135.008316 136.669952 138.20285 139.818817 141.375671 143.056 144.565552 146.197479 147.928192 149.632996 151.425629 153.109589 154.735443 156.401947 158.320465 160.063812 161.90657 164.010712 166.034409 168.1371 170.059937 172.193512 174.542694 177.253662 179.767761 182.23645 185.021347 188.019104 191.001465 194.3078 197.902359 201.523331 206.066818 210.684326 216.034668 221.197037 227.490067 235.56366 244.306122 256.282593 271.698578 295.131165 343.19873 748.909973 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.2987022 20.6041451 20.9061489 21.2506523 21.5070648 21.7782211 22.0097675 22.2506218 22.4670753 22.670208 22.8748665 23.091404 23.2956009 23.5205097 23.7511005 23.9773941 24.1873169 24.3955765 24.6198997 24.8389683 25.0797806 25.2574196 25.4722672 25.6476955 25.8708248 26.0820312 26.277401 26.4994164 26.7274761 26.9276085 27.1555901 27.3904572 27.683136 27.8972092 28.1599312 28.4401894 28.6823254 28.9506283 29.1969757 29.441534 29.7296276 29.9935608 30.3134785 30.5863762 30.9392853 31.209362 31.481514 31.756506 32.0811768 32.3730164 32.7308617 33.0945206 33.442379 33.7843285 34.148056 34.498497 34.9054337 35.3033028 35.7203865 36.1990166 36.6284714 37.0651283 37.4967041 37.8904037 38.3919373 38.8611259 39.3270454 39.8062057 40.2883224 40.8129959 41.1409378 41.7145081 42.3035431 42.8521576 43.4809914 44.0854034 44.8025513 45.4638443 46.1351738 46.8151436 47.5328751 48.2364502 49.0576553 49.8367462 50.7676926 51.7134323 52.804348 53.935173 55.0135727 56.2538452 57.5158691 59.0342979 60.4937592 62.1843796 64.1058044 66.2554321 69.1648788 73.2290039 80.5919647 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1424522 10.2880373 10.4116764 10.5042677 10.6332645 10.7730255 10.9112635 11.0631094 11.2054596 11.3403988 11.4669647 11.61485 11.7570076 11.9066486 12.0405293 12.1897554 12.3293247 12.4992599 12.6541939 12.8224773 12.9485226 13.1400394 13.2892456 13.4706783 13.6416702 13.7872257 13.9367933 14.1298313 14.292448 14.4826641 14.6907272 14.8966475 15.0900469 15.2997313 15.4735546 15.684556 15.8627892 16.0499859 16.2898369 16.5181046 16.7552395 16.9659805 17.2007923 17.4262695 17.6901455 17.8925514 18.06427 18.3058338 18.4954147 18.7399902 18.9914665 19.2243347 19.4552956 19.69804 19.9363346 20.1827126 20.342144 20.5475349 20.7465668 20.9833755 21.178381 21.4023247 21.62397 21.8600178 22.0912323 22.3238697 22.5437775 22.756712 22.980896 23.2307625 23.4810905 23.7226868 23.9944763 24.2635536 24.5161324 24.8286991 25.1211472 25.4054184 25.7173767 26.0050907 26.2917614 26.6445866 26.9991112 27.3557854 27.6958942 28.0672035 28.439991 28.8904495 29.3705597 29.8437042 30.396059 30.9247551 31.5821857 32.2591248 33.1608925 34.3119202 35.6213303 37.4538231 40.9881134 74.3859253 ------------------------------ Transdef: Tab for variable 5 0.951345682 2.72792125 3.15102696 3.46493602 3.78175545 3.99965715 4.12804222 4.27064705 4.40288115 4.53066254 4.64115 4.74236679 4.83207417 4.93458986 5.01390076 5.08639145 5.15188551 5.22629881 5.28782225 5.359025 5.41923904 5.47320652 5.52445793 5.57187319 5.62447643 5.67098141 5.72676277 5.77305317 5.8145318 5.85631752 5.90815592 5.95172787 5.99991608 6.04318047 6.08544827 6.12726927 6.17457676 6.21484375 6.25830221 6.29107666 6.33299732 6.38125944 6.42679691 6.4676733 6.51244879 6.56111431 6.60965729 6.65428352 6.70563412 6.75293922 6.79402733 6.84111977 6.87869167 6.92543077 6.97032928 7.02095604 7.07741356 7.13683128 7.18631172 7.23398972 7.29484177 7.35272074 7.40388298 7.46832037 7.5313096 7.5999155 7.66387749 7.73609066 7.79455948 7.84892464 7.90722799 7.96471024 8.03586006 8.09946728 8.15882683 8.22430325 8.28285027 8.34927559 8.41670418 8.47593498 8.55277443 8.63227654 8.7018261 8.77976322 8.86676598 8.9442358 9.0259676 9.11824036 9.22740364 9.33401394 9.4489994 9.55658531 9.6914463 9.83200741 9.99187088 10.1988916 10.4631195 10.8539696 11.3521137 12.3622837 19.6063156 ------------------------------ Transdef: Tab for variable 6 15.0261002 21.5572052 25.4840794 26.7616119 27.6019039 28.556385 29.4870243 30.2468109 31.0218239 31.6323414 32.2894707 32.8152122 33.3054504 33.8175545 34.3150482 34.7380066 35.1438217 35.5600586 35.9632111 36.34375 36.72435 37.0781708 37.4498825 37.8039932 38.0813141 38.471077 38.8408203 39.242115 39.526886 39.9411316 40.3081055 40.5879211 40.9444809 41.4251633 41.8951187 42.3019257 42.7745895 43.229229 43.7136612 44.0281067 44.521862 44.9881363 45.6963463 46.3490448 47.0776405 47.75457 48.4375153 49.1320114 49.8682938 50.4839325 51.2059937 52.0905304 53.012291 53.8701782 54.625824 55.3669319 56.2389374 57.1220779 57.9667282 58.8682442 59.6308899 60.4688072 61.3331909 62.1280594 62.9415054 63.776207 64.5093155 65.4200363 66.2176819 67.1238937 68.006012 68.7985764 69.6795044 70.5425262 71.3623352 72.2742157 73.1561584 74.1090775 74.9453125 75.9351044 76.7138062 77.7734985 78.9427948 80.0943451 81.1894913 82.3423843 83.657074 84.8969498 86.3948059 88.0663452 89.6733017 91.513092 93.4625549 95.7760162 98.4180603 101.43261 105.461044 111.208366 118.193184 131.945999 290.769653 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.7095032 33.7367859 34.4003754 35.0235138 35.5588112 36.0850372 36.4631271 36.8737831 37.2776451 37.6551056 37.9610596 38.2430305 38.5675583 38.8449936 39.1461563 39.41008 39.6383209 39.9925308 40.3382339 40.6681404 41.0383682 41.4433517 41.8010788 42.1874084 42.6299286 43.0679092 43.5751801 44.2416763 44.8132095 45.3898392 46.164753 47.0289078 47.9245071 48.8361626 49.7917862 50.9752579 52.1626053 53.2043304 54.2218781 55.2378998 56.2087021 57.2174606 58.1124191 58.9704666 59.8548851 60.7897415 61.806572 62.7190323 63.7479858 64.5847015 65.5695801 66.4158936 67.4000168 68.3938828 69.3077927 70.1582184 71.0116272 71.9028015 72.8411407 73.8609848 74.9673767 76.1225586 77.077774 78.1873627 79.2502975 80.4632263 81.6804276 82.9741058 84.2675629 85.6071472 86.9618835 88.3617859 89.8044052 91.4073486 93.1338196 94.6609726 96.3754501 98.1079407 99.9974365 102.053391 103.783127 105.81279 107.824005 110.243011 112.78508 115.503922 118.207909 121.409973 124.959412 128.348297 132.093903 136.83139 142.490326 148.194397 155.121658 166.450165 178.83992 197.236938 232.587982 476.899628 ------------------------------ Transdef: Tab for variable 8 2.09815502 24.4975319 29.0940094 30.9230766 32.0369644 32.8323441 33.3434067 33.856842 34.379261 34.838768 35.2235565 35.6095619 35.9755707 36.3234177 36.6096802 36.899601 37.2254906 37.487278 37.7626419 38.0311775 38.2654724 38.5493622 38.78862 39.0445862 39.3143845 39.6497955 39.9452972 40.2625732 40.5701599 40.9025421 41.2202492 41.5719604 41.9414787 42.3544769 42.6950264 43.1627274 43.6637154 44.092205 44.6974182 45.1963539 45.7751503 46.3700943 46.9699402 47.8134155 48.4435577 49.1482658 49.7956085 50.6230774 51.4024658 52.1882935 52.9308929 53.6567688 54.3871078 55.142868 55.8935394 56.6327438 57.3162956 58.0900726 58.8520546 59.5884018 60.2946167 61.0569229 61.7954483 62.5684052 63.3219109 64.031601 64.7810135 65.4674072 66.1777802 66.9076004 67.7048798 68.4590149 69.203125 69.9804153 70.7575226 71.5171356 72.4028168 73.3650818 74.2119141 75.1218948 75.9672318 76.8913727 77.8805695 78.8516083 79.947937 81.0370483 82.1850891 83.624939 85.0548477 86.7143402 88.3578796 90.303215 92.4315643 94.6646423 97.3022614 101.073273 105.517143 111.747711 121.740463 139.86026 296.803314 ------------------------------ Transdef: Tab for variable 9 48.8581314 62.8018761 64.8574677 66.4043274 67.7657394 68.7897797 69.9393768 70.7071991 71.5170441 72.3183975 73.1937103 73.8813477 74.3730469 74.9495239 75.516037 76.0084 76.6694717 77.112915 77.7076797 78.2760315 78.8266296 79.3301849 79.7855072 80.355484 80.9422379 81.4948425 82.117363 82.6031799 83.2616577 83.8620605 84.6629486 85.4907761 86.3027496 87.1729584 88.2233887 89.1916809 90.2386932 91.5389709 92.8325882 93.9000549 95.1980743 96.4723892 97.9455719 99.2394485 100.832382 102.302475 103.94104 105.305725 106.636536 108.279312 109.856003 111.439651 112.846077 114.544029 115.845245 117.170715 118.66909 120.009079 121.262314 122.670853 123.87912 125.316933 126.742897 128.068558 129.295303 130.462952 131.789429 133.089935 134.414352 135.659042 136.903595 138.082489 139.249237 140.58696 141.842209 143.11792 144.328583 145.532196 146.946121 148.213379 149.576569 151.04718 152.452896 153.975677 155.537079 157.191376 158.864929 160.640808 162.552368 164.51059 166.597107 168.62677 171.411682 174.146729 177.252594 180.548706 184.762817 190.903656 198.33728 217.876816 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0335818008 0.965520978 1.31415308 1.55885577 1.73110938 1.86547518 1.9754585 2.05954361 2.13173604 2.20237637 2.25889206 2.31436014 2.36020923 2.40204096 2.44028425 2.47401667 2.50683737 2.53799343 2.56494856 2.59257507 2.61631846 2.64076376 2.66545391 2.68605518 2.70525551 2.72574306 2.74270391 2.7578826 2.77351117 2.78727055 2.80137157 2.81487536 2.82642317 2.83650684 2.84884501 2.85875988 2.86801529 2.87770271 2.88809013 2.89618778 2.90359211 2.91141891 2.91890407 2.92590237 2.93351173 2.94138527 2.94788647 2.95436859 2.9613905 2.96750259 2.97408605 2.97981501 2.98457146 2.98913765 2.99368048 2.99916816 3.00498509 3.00940466 3.0138011 3.01915836 3.0230689 3.02708721 3.03075194 3.0346272 3.03842258 3.0421958 3.04619265 3.05006027 3.05377531 3.05771065 3.06048751 3.06421828 3.06741691 3.0707612 3.07380247 3.076509 3.07944131 3.08265972 3.08563662 3.08862281 3.09116459 3.09419823 3.09698105 3.09991765 3.10249162 3.10539627 3.10854387 3.11056805 3.11336255 3.11553574 3.11769342 3.1203208 3.12285185 3.12552643 3.12803888 3.13039041 3.13249278 3.13454199 3.13685369 3.13905787 3.14158654 ------------------------------ Transdef: Tab for variable 11 8.10623169E-06 0.00519726891 0.0110185146 0.0176231861 0.0236055851 0.0300735645 0.0383168459 0.0463284031 0.0533017516 0.0598421097 0.0674877092 0.075576216 0.0833351612 0.0907307267 0.0975974202 0.105625868 0.112756938 0.119949579 0.127609134 0.134422421 0.142349005 0.148331046 0.15505445 0.161265403 0.167727947 0.174934626 0.181419998 0.187482625 0.192923546 0.198399186 0.203815192 0.209164441 0.21452105 0.22052002 0.225559056 0.230695963 0.235679328 0.240764439 0.246436954 0.251486301 0.256815374 0.261784673 0.266288996 0.271231115 0.276158273 0.280673474 0.285004616 0.290087998 0.295538068 0.300297976 0.3048217 0.310393095 0.316608727 0.322110534 0.327343136 0.333189785 0.339238703 0.344093055 0.349701345 0.355359256 0.359635055 0.365583658 0.371324897 0.376703322 0.382908285 0.388177037 0.394001603 0.399541765 0.40565145 0.412000895 0.41846776 0.42471981 0.430576861 0.436961949 0.442409158 0.448237896 0.455978751 0.463875771 0.470219433 0.476926625 0.484222442 0.49307102 0.501954854 0.51265049 0.521801651 0.531585574 0.539795578 0.55036974 0.562917709 0.576308012 0.590027809 0.604077458 0.619042754 0.635259867 0.652317762 0.669657707 0.700435281 0.733139396 0.77658534 0.838726759 1.11657131 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.212414175 0.223134682 0.231371194 0.240336254 0.24849087 0.256678849 0.263949633 0.27125448 0.277808964 0.28405425 0.290232331 0.296270549 0.302297771 0.30795449 0.313874245 0.319335431 0.325249314 0.331498146 0.337022245 0.342885941 0.348486125 0.353242755 0.358354092 0.363743514 0.368893564 0.37423867 0.379414767 0.384937018 0.38966763 0.394478917 0.39937979 0.403522462 0.407032371 0.410571098 0.413862765 0.417747319 0.421174765 0.424814224 0.428595513 0.43223244 0.435421467 0.439074188 0.442645192 0.445796043 0.449313283 0.453676999 0.457382917 0.461036146 0.465601712 0.469986349 0.473823011 0.477735877 0.481463224 0.485171437 0.489441067 0.493749261 0.498283267 0.501831591 0.507082701 0.511273623 0.516196787 0.52079916 0.525247037 0.530238688 0.535787702 0.541902661 0.547065139 0.551271796 0.556242108 0.561710835 0.568047166 0.573926985 0.580145359 0.586732984 0.592855453 0.59833771 0.605092883 0.613122582 0.620239556 0.626806617 0.634125471 0.643117905 0.651766181 0.660051346 0.667590678 0.676230669 0.684935808 0.697958231 0.710436463 0.720598876 0.731595695 0.743998408 0.756398439 0.771650195 0.792285502 0.810721099 0.835279346 0.864699185 0.914980531 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.6506386 22.3974857 22.9890556 23.6160011 24.2270584 24.7243061 25.1841812 25.6210709 26.0329437 26.5471916 27.0133247 27.3862495 27.8205376 28.2218399 28.6107101 28.9570904 29.3762856 29.7219543 30.1047478 30.4990768 30.8468933 31.1091805 31.4818497 31.8011475 32.1844711 32.5283127 32.9372025 33.3700485 33.7780991 34.23246 34.5919647 34.9854622 35.3428726 35.7276382 36.1220703 36.5037003 36.9883232 37.4594955 37.8520355 38.283165 38.6911774 39.1443024 39.6077194 40.0982475 40.5621338 41.0098724 41.4756393 42.0325317 42.489151 42.9666443 43.4273376 43.8928909 44.4209328 44.9737473 45.5333405 46.1070824 46.5576706 47.067234 47.639267 48.1420975 48.6995201 49.2842941 49.871048 50.498291 51.1012421 51.7375717 52.3968811 53.0921402 53.8103943 54.5517731 55.2642288 56.0182762 56.7279472 57.4272156 58.1910858 58.9581299 59.7269592 60.4584122 61.4702835 62.235405 63.0398331 64.0549316 65.1115875 66.3286133 67.3996277 68.3106384 69.4453049 70.7415543 72.2492676 74.0033951 75.7634277 77.445816 79.4788208 82.000618 85.0555954 88.391983 92.423233 98.4263763 108.018074 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7279749 11.2280636 11.5359535 11.9158173 12.3173656 12.6841688 13.0386715 13.3882523 13.670125 13.9263916 14.2754822 14.5752993 14.9094925 15.1899014 15.4896822 15.7828608 16.0644341 16.3532677 16.6463013 16.9075279 17.2026443 17.4859543 17.7301426 17.9421082 18.225666 18.5088577 18.7544327 19.0105858 19.2189655 19.5548973 19.8543758 20.1537819 20.4244766 20.6985207 20.9109974 21.172802 21.4117508 21.6569805 21.8728714 22.0934677 22.3847961 22.6462593 22.9021244 23.12537 23.3296318 23.5347252 23.7694683 24.0307007 24.2991943 24.5507355 24.8174057 25.0322704 25.3323116 25.565197 25.7891808 26.0515327 26.3400345 26.6118679 26.9030685 27.1974163 27.4490128 27.6638012 27.9123173 28.0815144 28.3261909 28.6227436 28.9151993 29.1797638 29.4780197 29.7570667 30.0642853 30.3954391 30.759346 31.1275063 31.4458885 31.7872314 32.1426849 32.5832825 32.9742508 33.3814354 33.8468323 34.3181229 34.8022995 35.387764 35.943821 36.5675011 37.169548 37.8221359 38.6130295 39.5259171 40.4283066 41.5247078 42.6815186 43.945282 45.1538658 47.4429703 49.8090897 53.6168671 59.6003075 122.221924 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 65.5 53.3 53.1 32.6 51.8 63.3 56.1 64.5 -25.2 -19.9 -41.5 19.1 21.3 2 65.5 100.0 68.8 56.9 43.4 72.1 94.6 79.0 92.6 -44.9 -24.6 -50.6 37.5 28.0 3 53.3 68.8 100.0 44.0 21.4 43.9 70.5 60.9 76.6 -14.0 -27.2 -58.4 67.7 20.2 4 53.1 56.9 44.0 100.0 16.2 36.2 59.0 49.6 60.5 -13.5 -30.2 -61.2 19.7 68.2 5 32.6 43.4 21.4 16.2 100.0 85.0 17.0 61.9 62.6 18.2 -9.2 -16.8 5.5 2.5 6 51.8 72.1 43.9 36.2 85.0 100.0 52.4 80.4 81.9 -8.5 -17.5 -33.8 19.3 14.3 7 63.3 94.6 70.5 59.0 17.0 52.4 100.0 71.3 81.8 -53.3 -23.9 -51.1 40.5 31.2 8 56.1 79.0 60.9 49.6 61.9 80.4 71.3 100.0 86.1 -14.4 -24.2 -46.7 33.3 24.9 9 64.5 92.6 76.6 60.5 62.6 81.9 81.8 86.1 100.0 -21.6 -27.6 -57.0 43.9 30.8 10 -25.2 -44.9 -14.0 -13.5 18.2 -8.5 -53.3 -14.4 -21.6 100.0 3.0 8.1 -5.2 -5.6 11 -19.9 -24.6 -27.2 -30.2 -9.2 -17.5 -23.9 -24.2 -27.6 3.0 100.0 53.9 -12.9 -17.2 12 -41.5 -50.6 -58.4 -61.2 -16.8 -33.8 -51.1 -46.7 -57.0 8.1 53.9 100.0 -31.7 -33.5 13 19.1 37.5 67.7 19.7 5.5 19.3 40.5 33.3 43.9 -5.2 -12.9 -31.7 100.0 43.8 14 21.3 28.0 20.2 68.2 2.5 14.3 31.2 24.9 30.8 -5.6 -17.2 -33.5 43.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 169.062355 TOTAL CORRELATION OF ALL VARIABLES 72.6204952 ROUND 1: MAX CORR ( 72.6204109) AFTER KILLING INPUT VARIABLE 11 CONTR 0.11067338 ROUND 2: MAX CORR ( 72.6072512) AFTER KILLING INPUT VARIABLE 2 CONTR 1.38244362 ROUND 3: MAX CORR ( 72.5431717) AFTER KILLING INPUT VARIABLE 12 CONTR 3.04978258 ROUND 4: MAX CORR ( 72.4852815) AFTER KILLING INPUT VARIABLE 14 CONTR 2.8975376 ROUND 5: MAX CORR ( 72.4041262) AFTER KILLING INPUT VARIABLE 10 CONTR 3.42907206 ROUND 6: MAX CORR ( 72.2738908) AFTER KILLING INPUT VARIABLE 8 CONTR 4.34076053 ROUND 7: MAX CORR ( 72.067796) AFTER KILLING INPUT VARIABLE 6 CONTR 5.45417968 ROUND 8: MAX CORR ( 71.3742144) AFTER KILLING INPUT VARIABLE 9 CONTR 9.97440406 ROUND 9: MAX CORR ( 69.9607163) AFTER KILLING INPUT VARIABLE 13 CONTR 14.1342369 ROUND 10: MAX CORR ( 69.4205905) AFTER KILLING INPUT VARIABLE 3 CONTR 8.67660281 ROUND 11: MAX CORR ( 67.1026579) AFTER KILLING INPUT VARIABLE 4 CONTR 17.7890893 ROUND 12: MAX CORR ( 63.3350333) AFTER KILLING INPUT VARIABLE 5 CONTR 22.1684518 LAST REMAINING VARIABLE: 7 total correlation to target: 72.6204952 % total significance: 111.363704 sigma correlations of single variables to target: variable 2: 65.480649 % , in sigma: 100.414732 variable 3: 53.2891858 % , in sigma: 81.7190941 variable 4: 53.0618577 % , in sigma: 81.370486 variable 5: 32.6366153 % , in sigma: 50.0483278 variable 6: 51.8223255 % , in sigma: 79.4696604 variable 7: 63.3350333 % , in sigma: 97.1244253 variable 8: 56.1169288 % , in sigma: 86.0554448 variable 9: 64.4784978 % , in sigma: 98.8779309 variable 10: -25.2346603 % , in sigma: 38.6974121 variable 11: -19.9097285 % , in sigma: 30.5316164 variable 12: -41.463572 % , in sigma: 63.584487 variable 13: 19.1212724 % , in sigma: 29.3225171 variable 14: 21.2700548 % , in sigma: 32.6176801 variables sorted by significance: 1 most relevant variable 7 corr 63.3350334 , in sigma: 97.1244256 2 most relevant variable 5 corr 22.1684513 , in sigma: 33.9953732 3 most relevant variable 4 corr 17.7890892 , in sigma: 27.2796109 4 most relevant variable 3 corr 8.67660236 , in sigma: 13.3055905 5 most relevant variable 13 corr 14.1342373 , in sigma: 21.6748868 6 most relevant variable 9 corr 9.97440434 , in sigma: 15.295773 7 most relevant variable 6 corr 5.45417976 , in sigma: 8.36399774 8 most relevant variable 8 corr 4.34076071 , in sigma: 6.65656695 9 most relevant variable 10 corr 3.42907214 , in sigma: 5.25849035 10 most relevant variable 14 corr 2.89753771 , in sigma: 4.44338102 11 most relevant variable 12 corr 3.04978251 , in sigma: 4.6768488 12 most relevant variable 2 corr 1.38244367 , in sigma: 2.11998068 13 most relevant variable 11 corr 0.110673383 , in sigma: 0.169717898 global correlations between input variables: variable 2: 99.2364091 % variable 3: 93.8106114 % variable 4: 90.9376288 % variable 5: 95.4261223 % variable 6: 94.2776064 % variable 7: 98.8453939 % variable 8: 91.2719626 % variable 9: 98.9329633 % variable 10: 71.8034459 % variable 11: 54.6763499 % variable 12: 77.7740701 % variable 13: 86.2603535 % variable 14: 86.3064757 % significance loss when removing single variables: variable 2: corr = 1.38665247 % , sigma = 2.12643488 variable 3: corr = 15.7680232 % , sigma = 24.1803014 variable 4: corr = 15.421906 % , sigma = 23.6495299 variable 5: corr = 10.6083807 % , sigma = 16.2679773 variable 6: corr = 5.33968015 % , sigma = 8.18841231 variable 7: corr = 7.04581915 % , sigma = 10.8047806 variable 8: corr = 2.44262273 % , sigma = 3.74576782 variable 9: corr = 9.02383974 % , sigma = 13.8380799 variable 10: corr = 3.32703391 % , sigma = 5.10201448 variable 11: corr = 0.11067338 % , sigma = 0.169717894 variable 12: corr = 2.70333545 % , sigma = 4.1455714 variable 13: corr = 7.14156152 % , sigma = 10.9516017 variable 14: corr = 3.07346552 % , sigma = 4.71316674 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 16.3361702 sigma out 15 active outputs RANK 2 NODE 5 --> 15.1706734 sigma out 15 active outputs RANK 3 NODE 10 --> 14.5004187 sigma out 15 active outputs RANK 4 NODE 9 --> 13.477972 sigma out 15 active outputs RANK 5 NODE 11 --> 13.1803818 sigma out 15 active outputs RANK 6 NODE 4 --> 11.9183512 sigma out 15 active outputs RANK 7 NODE 6 --> 11.6863365 sigma out 15 active outputs RANK 8 NODE 3 --> 11.0910816 sigma out 15 active outputs RANK 9 NODE 7 --> 10.8041239 sigma out 15 active outputs RANK 10 NODE 12 --> 10.5614595 sigma out 15 active outputs RANK 11 NODE 1 --> 9.44513321 sigma out 15 active outputs RANK 12 NODE 2 --> 8.89049339 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 21.9479847 sigma in 12act. ( 23.53018 sig out 1act.) RANK 2 NODE 15 --> 19.3663006 sigma in 12act. ( 19.4542027 sig out 1act.) RANK 3 NODE 4 --> 16.2076187 sigma in 12act. ( 18.0877323 sig out 1act.) RANK 4 NODE 12 --> 11.1825571 sigma in 12act. ( 12.237875 sig out 1act.) RANK 5 NODE 3 --> 11.1341505 sigma in 12act. ( 11.4533691 sig out 1act.) RANK 6 NODE 13 --> 9.81107807 sigma in 12act. ( 10.8062487 sig out 1act.) RANK 7 NODE 6 --> 9.53521538 sigma in 12act. ( 9.50195408 sig out 1act.) RANK 8 NODE 2 --> 8.08767986 sigma in 12act. ( 8.77667141 sig out 1act.) RANK 9 NODE 14 --> 8.02308178 sigma in 12act. ( 8.69425011 sig out 1act.) RANK 10 NODE 1 --> 7.43657827 sigma in 12act. ( 4.62251568 sig out 1act.) RANK 11 NODE 7 --> 7.25488138 sigma in 12act. ( 6.36141109 sig out 1act.) RANK 12 NODE 9 --> 6.48885775 sigma in 12act. ( 6.34095812 sig out 1act.) RANK 13 NODE 11 --> 4.59208632 sigma in 12act. ( 4.18431854 sig out 1act.) RANK 14 NODE 8 --> 1.6022712 sigma in 12act. ( 1.13068938 sig out 1act.) RANK 15 NODE 5 --> 1.2990247 sigma in 12act. ( 0.333621711 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 23.53018 sigma out 1act.( 21.9479847 sig in 12act.) RANK 2 NODE 15 --> 19.4542027 sigma out 1act.( 19.3663006 sig in 12act.) RANK 3 NODE 4 --> 18.0877323 sigma out 1act.( 16.2076187 sig in 12act.) RANK 4 NODE 12 --> 12.237875 sigma out 1act.( 11.1825571 sig in 12act.) RANK 5 NODE 3 --> 11.4533691 sigma out 1act.( 11.1341505 sig in 12act.) RANK 6 NODE 13 --> 10.8062487 sigma out 1act.( 9.81107807 sig in 12act.) RANK 7 NODE 6 --> 9.50195408 sigma out 1act.( 9.53521538 sig in 12act.) RANK 8 NODE 2 --> 8.77667141 sigma out 1act.( 8.08767986 sig in 12act.) RANK 9 NODE 14 --> 8.69425011 sigma out 1act.( 8.02308178 sig in 12act.) RANK 10 NODE 7 --> 6.36141109 sigma out 1act.( 7.25488138 sig in 12act.) RANK 11 NODE 9 --> 6.34095812 sigma out 1act.( 6.48885775 sig in 12act.) RANK 12 NODE 1 --> 4.62251568 sigma out 1act.( 7.43657827 sig in 12act.) RANK 13 NODE 11 --> 4.18431854 sigma out 1act.( 4.59208632 sig in 12act.) RANK 14 NODE 8 --> 1.13068938 sigma out 1act.( 1.6022712 sig in 12act.) RANK 15 NODE 5 --> 0.333621711 sigma out 1act.( 1.2990247 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 44.9540863 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 21.5636902 sigma out 15 active outputs RANK 2 NODE 5 --> 16.5143013 sigma out 15 active outputs RANK 3 NODE 8 --> 16.4913254 sigma out 15 active outputs RANK 4 NODE 10 --> 14.4129496 sigma out 15 active outputs RANK 5 NODE 11 --> 14.2183552 sigma out 15 active outputs RANK 6 NODE 4 --> 13.2350664 sigma out 15 active outputs RANK 7 NODE 6 --> 12.8167009 sigma out 15 active outputs RANK 8 NODE 12 --> 11.6840286 sigma out 15 active outputs RANK 9 NODE 7 --> 11.6337166 sigma out 15 active outputs RANK 10 NODE 3 --> 11.5602312 sigma out 15 active outputs RANK 11 NODE 1 --> 11.3768702 sigma out 15 active outputs RANK 12 NODE 2 --> 9.64320564 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 20.560564 sigma in 12act. ( 22.1481609 sig out 1act.) RANK 2 NODE 15 --> 19.7235279 sigma in 12act. ( 18.474493 sig out 1act.) RANK 3 NODE 4 --> 18.3266544 sigma in 12act. ( 18.6546345 sig out 1act.) RANK 4 NODE 12 --> 13.8419609 sigma in 12act. ( 13.0498934 sig out 1act.) RANK 5 NODE 13 --> 12.5713511 sigma in 12act. ( 10.8598204 sig out 1act.) RANK 6 NODE 2 --> 12.1445541 sigma in 12act. ( 9.57231045 sig out 1act.) RANK 7 NODE 3 --> 11.5998688 sigma in 12act. ( 10.3939695 sig out 1act.) RANK 8 NODE 6 --> 10.4762077 sigma in 12act. ( 8.99562168 sig out 1act.) RANK 9 NODE 14 --> 10.1539593 sigma in 12act. ( 8.77745628 sig out 1act.) RANK 10 NODE 7 --> 8.70102119 sigma in 12act. ( 5.69896936 sig out 1act.) RANK 11 NODE 9 --> 8.68956184 sigma in 12act. ( 6.18270779 sig out 1act.) RANK 12 NODE 5 --> 8.21177101 sigma in 12act. ( 1.47302067 sig out 1act.) RANK 13 NODE 1 --> 8.15258598 sigma in 12act. ( 3.02811241 sig out 1act.) RANK 14 NODE 11 --> 7.67855501 sigma in 12act. ( 4.59927654 sig out 1act.) RANK 15 NODE 8 --> 7.12019491 sigma in 12act. ( 2.51726151 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 22.1481609 sigma out 1act.( 20.560564 sig in 12act.) RANK 2 NODE 4 --> 18.6546345 sigma out 1act.( 18.3266544 sig in 12act.) RANK 3 NODE 15 --> 18.474493 sigma out 1act.( 19.7235279 sig in 12act.) RANK 4 NODE 12 --> 13.0498934 sigma out 1act.( 13.8419609 sig in 12act.) RANK 5 NODE 13 --> 10.8598204 sigma out 1act.( 12.5713511 sig in 12act.) RANK 6 NODE 3 --> 10.3939695 sigma out 1act.( 11.5998688 sig in 12act.) RANK 7 NODE 2 --> 9.57231045 sigma out 1act.( 12.1445541 sig in 12act.) RANK 8 NODE 6 --> 8.99562168 sigma out 1act.( 10.4762077 sig in 12act.) RANK 9 NODE 14 --> 8.77745628 sigma out 1act.( 10.1539593 sig in 12act.) RANK 10 NODE 9 --> 6.18270779 sigma out 1act.( 8.68956184 sig in 12act.) RANK 11 NODE 7 --> 5.69896936 sigma out 1act.( 8.70102119 sig in 12act.) RANK 12 NODE 11 --> 4.59927654 sigma out 1act.( 7.67855501 sig in 12act.) RANK 13 NODE 1 --> 3.02811241 sigma out 1act.( 8.15258598 sig in 12act.) RANK 14 NODE 8 --> 2.51726151 sigma out 1act.( 7.12019491 sig in 12act.) RANK 15 NODE 5 --> 1.47302067 sigma out 1act.( 8.21177101 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.9913712 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.513366401 *** contribution from regularisation: 0.00445801252 *** contribution from error: -0.517824411 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.561579049 *** contribution from regularisation: 0.00271212589 *** contribution from error: -0.564291179 *********************************************** -----------------> Test sample ENTER BFGS code START -47437.167 0.423514366 -0.0601913482 EXIT FROM BFGS code FG_START 0. 0.423514366 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.588147163 *** contribution from regularisation: 0.00235235877 *** contribution from error: -0.59049952 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -49672.5552 0.423514366 46.4103165 EXIT FROM BFGS code FG_LNSRCH 0. 0.457689375 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.597675323 *** contribution from regularisation: 0.00318524148 *** contribution from error: -0.600860536 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50477.2694 0.457689375 39.5462914 EXIT FROM BFGS code NEW_X -50477.2694 0.457689375 39.5462914 ENTER BFGS code NEW_X -50477.2694 0.457689375 39.5462914 EXIT FROM BFGS code FG_LNSRCH 0. 0.475125313 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.599482596 *** contribution from regularisation: 0.00310456916 *** contribution from error: -0.602587163 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50629.9009 0.475125313 3.17300177 EXIT FROM BFGS code NEW_X -50629.9009 0.475125313 3.17300177 ENTER BFGS code NEW_X -50629.9009 0.475125313 3.17300177 EXIT FROM BFGS code FG_LNSRCH 0. 0.479342759 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.600039124 *** contribution from regularisation: 0.00302118226 *** contribution from error: -0.603060305 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50676.902 0.479342759 -12.0946922 EXIT FROM BFGS code NEW_X -50676.902 0.479342759 -12.0946922 ENTER BFGS code NEW_X -50676.902 0.479342759 -12.0946922 EXIT FROM BFGS code FG_LNSRCH 0. 0.475137353 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.600582123 *** contribution from regularisation: 0.00293361885 *** contribution from error: -0.603515744 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50722.7614 0.475137353 -34.3443489 EXIT FROM BFGS code NEW_X -50722.7614 0.475137353 -34.3443489 ENTER BFGS code NEW_X -50722.7614 0.475137353 -34.3443489 EXIT FROM BFGS code FG_LNSRCH 0. 0.445079446 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.601106405 *** contribution from regularisation: 0.00298014353 *** contribution from error: -0.604086578 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50767.0432 0.445079446 -39.8190575 EXIT FROM BFGS code NEW_X -50767.0432 0.445079446 -39.8190575 ENTER BFGS code NEW_X -50767.0432 0.445079446 -39.8190575 EXIT FROM BFGS code FG_LNSRCH 0. 0.34831053 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.602323532 *** contribution from regularisation: 0.00285265036 *** contribution from error: -0.60517621 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50869.8381 0.34831053 -35.8051186 EXIT FROM BFGS code NEW_X -50869.8381 0.34831053 -35.8051186 ENTER BFGS code NEW_X -50869.8381 0.34831053 -35.8051186 EXIT FROM BFGS code FG_LNSRCH 0. 0.218398765 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 28.426796 sigma out 15 active outputs RANK 2 NODE 4 --> 16.4500408 sigma out 15 active outputs RANK 3 NODE 11 --> 13.4559746 sigma out 15 active outputs RANK 4 NODE 1 --> 11.5321827 sigma out 15 active outputs RANK 5 NODE 8 --> 10.2214842 sigma out 15 active outputs RANK 6 NODE 12 --> 8.31194878 sigma out 15 active outputs RANK 7 NODE 3 --> 8.1699295 sigma out 15 active outputs RANK 8 NODE 7 --> 7.95522594 sigma out 15 active outputs RANK 9 NODE 10 --> 7.67994547 sigma out 15 active outputs RANK 10 NODE 5 --> 7.50514698 sigma out 15 active outputs RANK 11 NODE 6 --> 6.92226028 sigma out 15 active outputs RANK 12 NODE 2 --> 6.16727161 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 20.295784 sigma in 12act. ( 16.757391 sig out 1act.) RANK 2 NODE 8 --> 16.5607357 sigma in 12act. ( 11.9151859 sig out 1act.) RANK 3 NODE 2 --> 15.6708746 sigma in 12act. ( 11.4682121 sig out 1act.) RANK 4 NODE 4 --> 13.690444 sigma in 12act. ( 12.3774805 sig out 1act.) RANK 5 NODE 15 --> 12.5354109 sigma in 12act. ( 11.2974558 sig out 1act.) RANK 6 NODE 13 --> 11.0355711 sigma in 12act. ( 9.35312366 sig out 1act.) RANK 7 NODE 10 --> 10.8094187 sigma in 12act. ( 9.87556362 sig out 1act.) RANK 8 NODE 12 --> 9.95969009 sigma in 12act. ( 7.79865265 sig out 1act.) RANK 9 NODE 11 --> 8.8326273 sigma in 12act. ( 5.79183054 sig out 1act.) RANK 10 NODE 14 --> 8.51116276 sigma in 12act. ( 5.55385923 sig out 1act.) RANK 11 NODE 6 --> 6.38910198 sigma in 12act. ( 4.12703991 sig out 1act.) RANK 12 NODE 9 --> 5.82124949 sigma in 12act. ( 2.48922491 sig out 1act.) RANK 13 NODE 7 --> 5.46225786 sigma in 12act. ( 4.27987242 sig out 1act.) RANK 14 NODE 3 --> 4.3552227 sigma in 12act. ( 3.03614688 sig out 1act.) RANK 15 NODE 1 --> 3.08150554 sigma in 12act. ( 1.45664167 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 16.757391 sigma out 1act.( 20.295784 sig in 12act.) RANK 2 NODE 4 --> 12.3774805 sigma out 1act.( 13.690444 sig in 12act.) RANK 3 NODE 8 --> 11.9151859 sigma out 1act.( 16.5607357 sig in 12act.) RANK 4 NODE 2 --> 11.4682121 sigma out 1act.( 15.6708746 sig in 12act.) RANK 5 NODE 15 --> 11.2974558 sigma out 1act.( 12.5354109 sig in 12act.) RANK 6 NODE 10 --> 9.87556362 sigma out 1act.( 10.8094187 sig in 12act.) RANK 7 NODE 13 --> 9.35312366 sigma out 1act.( 11.0355711 sig in 12act.) RANK 8 NODE 12 --> 7.79865265 sigma out 1act.( 9.95969009 sig in 12act.) RANK 9 NODE 11 --> 5.79183054 sigma out 1act.( 8.8326273 sig in 12act.) RANK 10 NODE 14 --> 5.55385923 sigma out 1act.( 8.51116276 sig in 12act.) RANK 11 NODE 7 --> 4.27987242 sigma out 1act.( 5.46225786 sig in 12act.) RANK 12 NODE 6 --> 4.12703991 sigma out 1act.( 6.38910198 sig in 12act.) RANK 13 NODE 3 --> 3.03614688 sigma out 1act.( 4.3552227 sig in 12act.) RANK 14 NODE 9 --> 2.48922491 sigma out 1act.( 5.82124949 sig in 12act.) RANK 15 NODE 1 --> 1.45664167 sigma out 1act.( 3.08150554 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 34.6155968 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.601308882 *** contribution from regularisation: 0.00295777386 *** contribution from error: -0.604266644 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50784.1436 0.218398765 53.9694061 EXIT FROM BFGS code FG_LNSRCH 0. 0.320401669 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.602084637 *** contribution from regularisation: 0.00339651946 *** contribution from error: -0.605481148 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50849.6611 0.320401669 -17.1039791 EXIT FROM BFGS code FG_LNSRCH 0. 0.345104635 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.602232158 *** contribution from regularisation: 0.00299208029 *** contribution from error: -0.605224252 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50862.121 0.345104635 -33.4034843 EXIT FROM BFGS code FG_LNSRCH 0. 0.348155886 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.602130771 *** contribution from regularisation: 0.00304767583 *** contribution from error: -0.605178475 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50853.5559 0.348155886 -34.7603836 EXIT FROM BFGS code FG_LNSRCH 0. 0.348310322 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.6021474 *** contribution from regularisation: 0.00302879093 *** contribution from error: -0.60517621 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50854.9622 0.348310322 -35.0364342 EXIT FROM BFGS code FG_LNSRCH 0. 0.34831053 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.602092385 *** contribution from regularisation: 0.00308379158 *** contribution from error: -0.605176151 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50850.3168 0.34831053 -34.9241943 EXIT FROM BFGS code FG_LNSRCH 0. 0.34831053 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.602150321 *** contribution from regularisation: 0.00302586704 *** contribution from error: -0.60517621 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50855.2089 0.34831053 -34.9446793 EXIT FROM BFGS code FG_LNSRCH 0. 0.34831053 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.60210222 *** contribution from regularisation: 0.00307397032 *** contribution from error: -0.60517621 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50851.1463 0.34831053 -34.7677803 EXIT FROM BFGS code NEW_X -50851.1463 0.34831053 -34.7677803 ENTER BFGS code NEW_X -50851.1463 0.34831053 -34.7677803 EXIT FROM BFGS code CONVERGENC -50851.1463 0.34831053 -34.7677803 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 42.4909172 sigma out 15 active outputs RANK 2 NODE 1 --> 22.2439785 sigma out 15 active outputs RANK 3 NODE 4 --> 22.0153332 sigma out 15 active outputs RANK 4 NODE 11 --> 21.7812233 sigma out 15 active outputs RANK 5 NODE 8 --> 15.2667522 sigma out 15 active outputs RANK 6 NODE 6 --> 14.9126196 sigma out 15 active outputs RANK 7 NODE 5 --> 14.6937246 sigma out 15 active outputs RANK 8 NODE 7 --> 12.8544388 sigma out 15 active outputs RANK 9 NODE 3 --> 12.3882561 sigma out 15 active outputs RANK 10 NODE 10 --> 11.4649324 sigma out 15 active outputs RANK 11 NODE 12 --> 10.0715437 sigma out 15 active outputs RANK 12 NODE 2 --> 9.83877945 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 29.6928349 sigma in 12act. ( 23.5932465 sig out 1act.) RANK 2 NODE 8 --> 26.4476242 sigma in 12act. ( 18.710825 sig out 1act.) RANK 3 NODE 2 --> 25.3155708 sigma in 12act. ( 18.2642975 sig out 1act.) RANK 4 NODE 4 --> 21.2571716 sigma in 12act. ( 19.6613922 sig out 1act.) RANK 5 NODE 10 --> 18.1356144 sigma in 12act. ( 18.1541119 sig out 1act.) RANK 6 NODE 15 --> 17.1070118 sigma in 12act. ( 15.3937588 sig out 1act.) RANK 7 NODE 13 --> 16.3982239 sigma in 12act. ( 15.0387278 sig out 1act.) RANK 8 NODE 12 --> 16.3660793 sigma in 12act. ( 13.2930012 sig out 1act.) RANK 9 NODE 11 --> 14.8475075 sigma in 12act. ( 10.9763794 sig out 1act.) RANK 10 NODE 14 --> 14.2893229 sigma in 12act. ( 10.3513222 sig out 1act.) RANK 11 NODE 6 --> 10.4346828 sigma in 12act. ( 8.49772167 sig out 1act.) RANK 12 NODE 9 --> 9.29164505 sigma in 12act. ( 6.07094049 sig out 1act.) RANK 13 NODE 3 --> 7.70613718 sigma in 12act. ( 6.37908125 sig out 1act.) RANK 14 NODE 7 --> 6.81790686 sigma in 12act. ( 5.67795753 sig out 1act.) RANK 15 NODE 1 --> 4.60611057 sigma in 12act. ( 2.63142967 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 23.5932465 sigma out 1act.( 29.6928349 sig in 12act.) RANK 2 NODE 4 --> 19.6613922 sigma out 1act.( 21.2571716 sig in 12act.) RANK 3 NODE 8 --> 18.710825 sigma out 1act.( 26.4476242 sig in 12act.) RANK 4 NODE 2 --> 18.2642975 sigma out 1act.( 25.3155708 sig in 12act.) RANK 5 NODE 10 --> 18.1541119 sigma out 1act.( 18.1356144 sig in 12act.) RANK 6 NODE 15 --> 15.3937588 sigma out 1act.( 17.1070118 sig in 12act.) RANK 7 NODE 13 --> 15.0387278 sigma out 1act.( 16.3982239 sig in 12act.) RANK 8 NODE 12 --> 13.2930012 sigma out 1act.( 16.3660793 sig in 12act.) RANK 9 NODE 11 --> 10.9763794 sigma out 1act.( 14.8475075 sig in 12act.) RANK 10 NODE 14 --> 10.3513222 sigma out 1act.( 14.2893229 sig in 12act.) RANK 11 NODE 6 --> 8.49772167 sigma out 1act.( 10.4346828 sig in 12act.) RANK 12 NODE 3 --> 6.37908125 sigma out 1act.( 7.70613718 sig in 12act.) RANK 13 NODE 9 --> 6.07094049 sigma out 1act.( 9.29164505 sig in 12act.) RANK 14 NODE 7 --> 5.67795753 sigma out 1act.( 6.81790686 sig in 12act.) RANK 15 NODE 1 --> 2.63142967 sigma out 1act.( 4.60611057 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 54.8894615 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.602167845 *** contribution from regularisation: 0.00300835026 *** contribution from error: -0.60517621 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 26450 Closing output file done