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= 11726 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 = 2959 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 2959 Chosen entries: 2959 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.337516 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 2959 Entries to split: 2959 Test with : 1479 Train with : 1479 ********************************************* * 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= 2959 for Signal Prepared event 0 for Signal with 2959 events ====Entry 0 Variable Ht : 83.079 Variable LepAPt : 25.496 Variable LepBPt : 21.9368 Variable MetSigLeptonsJets : 5.17567 Variable MetSpec : 35.6456 Variable SumEtLeptonsJets : 47.4328 Variable VSumJetLeptonsPt : 47.4158 Variable addEt : 83.079 Variable dPhiLepSumMet : 3.03748 Variable dPhiLeptons : 0.0537934 Variable dRLeptons : 0.605968 Variable lep1_E : 38.4806 Variable lep2_E : 23.432 ===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 = 83.079 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.4962 LepAPt = 25.496 LepBEt = 21.9372 LepBPt = 21.9368 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 35.6456 MetDelPhi = 3.0126 MetSig = 2.7299 MetSigLeptonsJets = 5.17567 MetSpec = 35.6456 Mjj = 0 MostCentralJetEta = 0 MtllMet = 90.2464 Njets = 0 SB = 0 SumEt = 170.498 SumEtJets = 0 SumEtLeptonsJets = 47.4328 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 47.4158 addEt = 83.079 dPhiLepSumMet = 3.03748 dPhiLeptons = 0.0537934 dRLeptons = 0.605968 diltype = 41 dimass = 14.5505 event = 1028 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 38.4806 lep2_E = 23.432 rand = 0.999742 run = 233031 weight = 1.8148e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 3.83694 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 317 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 11726 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 317 negative weights. Signal fraction: 66.9274673 % ------------------------------ 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 57.7347679 68.2443085 68.3593903 68.583252 68.8894424 70.1945038 70.2539062 71.0853043 73.9429779 74.4484253 75.5462418 77.666008 78.7110062 79.4703674 79.6495514 79.7862473 80.6396027 80.8653259 81.2953491 82.3993454 84.1118317 84.5325241 85.6985321 86.2084045 86.7753906 87.785202 88.5243378 89.1003723 89.2348022 90.0140915 91.2093506 91.953804 92.3222656 93.0962143 93.4781494 94.9271393 95.2108459 95.2815704 96.1386871 97.2370682 98.5764618 99.4648895 100.931541 102.259857 103.636002 104.816628 105.799751 106.26265 106.877243 108.262337 109.203735 109.355423 110.178238 110.468147 110.81514 111.714867 112.686325 113.39946 114.466919 115.126846 116.060501 117.161209 118.192596 119.692352 120.359116 121.030052 122.128189 123.058731 124.149719 125.774658 127.041946 127.933197 128.377792 129.193756 130.549835 131.889343 133.735626 135.73407 137.533844 139.487152 141.330521 143.974609 145.697144 148.389481 150.007401 152.506042 154.404388 156.564804 161.103394 163.394623 168.322083 172.024902 176.408051 180.536606 185.895081 193.257156 206.151917 219.489532 244.003967 280.870514 484.526825 ------------------------------ Transdef: Tab for variable 3 20.014883 20.4566765 20.5360146 20.9527397 21.541975 21.8665009 22.1449642 22.149641 22.583622 22.6087723 22.8639984 23.1640129 23.2083931 23.533371 23.5897636 23.7730694 24.1034088 24.4635353 24.8281765 25.1053696 25.3095856 25.5523624 25.6660271 25.7746277 26.0407028 26.2281265 26.4299679 26.48843 26.6010647 26.694025 26.9539623 26.9777317 27.1256409 27.2288818 27.544529 27.6215153 27.6832371 27.7420654 27.9234619 28.029213 28.2647419 28.4967041 28.557373 28.6812363 28.8749371 29.1283989 29.1736164 29.3684425 29.3689938 29.5609856 29.8725891 30.1784973 30.5137444 30.5441933 30.6217098 30.68923 30.9405365 31.0931473 31.2127075 31.4388123 31.6838036 31.9694595 32.203186 32.5589676 32.8931046 33.175808 33.2388763 33.5382614 33.8516426 34.1743965 34.1801262 34.396862 34.6269073 34.9309921 35.1501389 35.3475952 35.6047211 35.9811401 36.4071388 36.7122307 37.1032562 37.5187302 38.0448914 38.5065613 38.9818039 39.4775658 40.012207 40.4619789 40.6381454 41.5989532 41.7117386 42.3010712 43.292778 44.3772888 45.6065445 45.9402771 47.1861649 49.387413 53.3516312 60.3552933 86.3822861 ------------------------------ Transdef: Tab for variable 4 10.0092888 10.0176029 10.177763 10.2585316 10.2849007 10.3747272 10.3784351 10.4271679 10.4562473 10.5260162 10.5724564 10.7579155 10.7979689 10.9862423 10.9971075 11.204277 11.2398567 11.3006897 11.381937 11.419693 11.5428486 11.8457718 12.1145411 12.3537045 12.3784246 12.7049446 12.8875351 13.0445976 13.1695747 13.3447132 13.3589077 13.4767036 13.5071487 13.6657906 13.7414179 13.8747358 13.930254 13.960556 14.1809244 14.3770685 14.3962498 14.6828108 14.9721355 15.2603092 15.3669386 15.4003963 15.4483528 15.612339 15.8369722 16.0513725 16.2817974 16.5205822 16.5916233 16.7316933 17.0033684 17.3679771 17.616787 17.9344788 18.2993011 18.6502552 18.7529335 18.8695526 19.1031017 19.3955593 19.670929 20.0240822 20.215168 20.4694843 20.6863213 20.8900108 21.0718842 21.2526722 21.5863838 21.757431 21.9332752 21.9409618 22.1941319 22.3949661 22.6485443 22.9361629 23.1619377 23.4248371 23.7251568 23.9920883 24.259346 24.6353626 25.0489597 25.3311653 25.6943169 26.0318623 26.1957836 26.3455238 26.6924057 27.0507355 27.781004 28.2806892 28.9908257 29.7111549 30.6553841 32.2494736 37.2691689 ------------------------------ Transdef: Tab for variable 5 2.3146708 3.03974152 3.36183143 3.64796805 3.79943275 4.03373861 4.18223095 4.19519377 4.37741995 4.54609203 4.62914658 4.67403221 4.75932884 4.7854929 4.91838646 5.05842972 5.13783693 5.15055561 5.15537357 5.26804066 5.35807228 5.42888403 5.53886986 5.64403725 5.70120239 5.72381592 5.8222332 5.83777142 5.84887981 5.90466499 5.97230244 6.03489399 6.10394573 6.15347481 6.17908716 6.20623684 6.21099615 6.25173283 6.27206802 6.27638817 6.2817626 6.33960104 6.3396244 6.38900852 6.43791866 6.48846674 6.49048328 6.5275526 6.55158329 6.5648756 6.62973356 6.65190125 6.70418596 6.72958899 6.74477482 6.81987429 6.82966232 6.87214231 6.93561506 6.96696758 6.9771347 7.04391479 7.04408932 7.09463024 7.13267899 7.19657612 7.24654961 7.25658321 7.25822783 7.29753017 7.3109827 7.35593987 7.41130161 7.42688751 7.4541502 7.50096035 7.55221939 7.58694935 7.61873817 7.65456963 7.69977951 7.78347111 7.84979677 7.90863705 8.00459957 8.05899429 8.1392746 8.22814178 8.32153702 8.40413094 8.48770142 8.5805378 8.66003609 8.73450184 8.88764191 9.03965569 9.20225525 9.48902798 9.96391869 10.484251 17.0327282 ------------------------------ Transdef: Tab for variable 6 25.0152855 26.4513626 27.5969105 28.7163277 28.783287 29.7203445 30.8434334 31.2678947 31.8900146 32.2842827 33.2861061 33.5658569 34.1160736 34.7839203 35.5335617 35.9221649 35.9801331 36.4666367 36.4875984 36.4921379 37.3227844 37.818058 37.8660812 38.0401878 38.4752731 39.2288513 39.799572 39.8041878 40.2797775 40.365509 40.4986763 41.0060043 41.6020203 42.4327621 42.7704659 42.9127121 42.9354706 43.7574959 43.7578735 44.2339783 44.5964622 45.2270241 45.764225 45.9243546 46.259243 46.6801453 46.8160133 47.2952957 47.5433121 47.7413483 48.1207428 48.7500153 49.2134933 49.2216225 49.7652283 50.006012 50.3963051 50.8783722 51.360405 51.8943405 52.3462906 52.7771683 53.235611 53.4304733 53.9968643 54.2123642 54.4356003 55.1148071 55.6036263 56.0263634 56.5005417 56.8952141 57.3621216 57.8462753 58.381546 58.8836403 59.5099297 60.220005 60.9289169 61.4471931 62.2548637 63.2598877 64.2128372 64.8820343 65.7253571 66.5826721 67.2811584 67.9063873 69.0678558 69.7749023 70.706871 72.2523575 73.8996811 75.3628311 77.3141479 79.4549408 82.2294159 86.1693802 93.095932 102.743179 193.358276 ------------------------------ Transdef: Tab for variable 7 30.4153633 30.7424355 32.9031982 33.7945938 34.1342239 36.7036972 36.8741837 37.0685043 37.5044746 38.0222702 38.0491638 38.2110634 38.3012772 39.0291977 39.6380424 40.3617363 40.478569 40.9812202 41.2012253 41.4962502 41.6181412 41.9658508 42.0398026 42.8257446 43.0829773 43.4915848 44.2344055 44.7218704 45.145874 45.3463173 45.4808159 45.9885178 46.0439529 46.7840195 47.3990479 48.0071106 48.5904427 49.3407936 50.0786514 50.7184219 51.5409851 52.291275 52.6262627 52.7291565 53.026268 53.2364464 53.9993439 54.6986351 55.2305794 55.954628 56.0050583 56.6438599 57.4156075 58.1610336 58.7169495 58.7900543 59.5121765 60.1254425 60.6974182 61.3439331 62.0300369 62.5780106 63.2480354 64.2293854 64.8877716 65.5305481 66.2749023 67.5520248 68.5978928 69.7518539 70.5492935 71.4727478 72.1536102 73.3641205 73.6280823 74.9905396 76.7506409 77.9347992 78.7856903 79.9804916 81.7529602 83.3778076 85.2609253 86.9557571 88.7972946 90.7347107 93.0529709 95.5998917 98.7251968 101.438217 104.365929 107.604698 112.227219 115.136017 120.034126 128.745728 136.326767 145.307129 157.97641 178.890259 284.329834 ------------------------------ Transdef: Tab for variable 8 7.64219379 24.7809372 28.7778206 28.815136 31.5535564 32.0884781 32.7737465 33.2041779 34.0553284 34.4825478 35.689003 36.3985023 36.5172386 36.5236702 36.8693161 36.8987312 37.0702019 37.3362503 37.3390045 38.1428604 38.5784378 38.579422 39.1901245 39.3407402 39.6071434 40.3531532 40.4268684 40.7224236 40.8082657 41.2029381 41.2368774 41.3064079 41.7614517 42.0810089 42.092659 42.4501572 43.0013809 43.5278702 43.6845512 43.7338791 43.9140091 44.2777328 44.3666153 45.1295128 45.2420273 45.5567093 46.104187 46.6069031 47.1166191 47.5493965 48.0887833 48.6031494 49.0534592 49.2048569 49.506218 49.9954071 50.5422897 51.0388603 51.0397263 51.5455856 52.1323395 52.59478 52.9450111 53.016243 53.4183121 53.8895874 53.9045029 54.2560692 54.6992073 55.1441727 55.7085419 56.3372116 56.6874619 57.2287292 57.8763847 58.5200615 59.0268707 59.4864006 60.0530777 60.5033112 61.1044464 61.7795296 62.4445648 63.121109 63.7408905 64.6653214 65.6205521 66.4335785 68.1428223 69.2871094 70.8606949 72.2079468 74.1040649 75.9237518 78.6037903 80.5348511 84.4709702 89.9573212 97.4087982 111.917053 195.753036 ------------------------------ Transdef: Tab for variable 9 57.7347679 67.2503815 68.3593903 68.6114044 68.8894424 69.4064178 70.1945038 70.2539062 72.4652405 73.9429779 74.5003281 75.5462418 76.731987 78.1269073 78.7071304 78.892868 79.341156 79.6495514 79.7740021 80.1847763 80.6396027 81.2953491 81.4445724 82.6862869 83.9552917 84.5325241 84.9125366 85.9555054 86.1977081 86.454483 87.6115265 88.5262909 88.5266266 89.2348022 89.2397995 89.3409576 89.6523285 89.7687225 91.0496979 91.6165237 91.953804 92.3222656 93.0962143 93.3495941 94.1915436 95.1912384 95.2108459 95.7363129 96.9655991 98.1103058 98.7853241 99.4748611 100.364594 100.989044 101.662216 102.52356 103.118912 103.881485 104.368057 105.227539 106.162491 106.266617 106.889374 107.748566 108.96048 109.068283 109.685501 110.178238 110.358299 111.166321 112.034653 112.780823 113.371048 114.223442 114.916756 115.367401 116.044838 116.774338 117.728088 118.600304 119.623642 120.246719 121.275757 122.023148 123.014526 124.144608 125.086044 126.006729 126.808197 127.67926 128.758087 130.110092 131.397797 133.18808 135.500641 137.73587 140.692688 144.251968 153.529358 162.083984 265.589417 ------------------------------ Transdef: Tab for variable 10 0.323437154 0.912453294 1.27644086 1.45385313 1.66145909 1.80076623 1.89172709 1.96184182 2.03410339 2.10598564 2.17390299 2.23030043 2.27495861 2.32650375 2.34399652 2.40676737 2.45707202 2.48810673 2.51731157 2.54630184 2.57424927 2.60322642 2.62257099 2.65317369 2.68243313 2.71389151 2.74160337 2.76314306 2.77348757 2.77892637 2.79780293 2.81422377 2.82545304 2.83117485 2.83979106 2.84134674 2.84137845 2.8583312 2.86361694 2.86714983 2.87197876 2.87352777 2.88466215 2.89642143 2.89989042 2.91019988 2.91064548 2.91735005 2.92835665 2.93315601 2.937644 2.94972491 2.9519875 2.96058321 2.96556687 2.97324276 2.98385906 2.98397779 2.99107027 3.00252628 3.00286674 3.00912476 3.01461124 3.02148724 3.02821016 3.02825332 3.03449893 3.03903532 3.0431881 3.04863906 3.05388546 3.06043005 3.06396818 3.06674862 3.06996155 3.07430601 3.08086824 3.08345294 3.08523607 3.08949947 3.0936327 3.09476995 3.09660625 3.09806633 3.1008482 3.10417914 3.10761118 3.10972977 3.11340952 3.11425424 3.11611533 3.11651945 3.11861014 3.12075043 3.12356186 3.12455368 3.12944984 3.13052678 3.13262033 3.13716412 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.0176458359 0.0293744802 0.0373311862 0.0431807041 0.0566466674 0.068801105 0.0787189007 0.090177536 0.0975515544 0.101937652 0.113774657 0.127586529 0.137262344 0.144680917 0.156863332 0.165280104 0.176768422 0.185513735 0.198872447 0.20838356 0.208905429 0.213410378 0.222584337 0.234429002 0.243898511 0.24475193 0.25708282 0.264039993 0.273620367 0.281031787 0.285778999 0.289961338 0.300028712 0.311835647 0.322063744 0.334671497 0.339983374 0.340365648 0.345189095 0.346214533 0.351678729 0.356292725 0.363200188 0.372363687 0.380464077 0.386329532 0.386787534 0.388921261 0.395876884 0.401744902 0.406972289 0.413086593 0.417950153 0.423513591 0.426416874 0.431143492 0.435921669 0.437153041 0.443185687 0.449438483 0.457174301 0.460065484 0.461895645 0.467847407 0.473125577 0.475393534 0.479907751 0.483349204 0.492314726 0.492345631 0.499459803 0.506305099 0.509478688 0.512936652 0.518083453 0.52260232 0.524379253 0.524967909 0.530189157 0.532194376 0.534357071 0.538125515 0.547832489 0.553675175 0.558207273 0.569784999 0.581194282 0.595702529 0.608849764 0.630612612 0.656384468 0.667740345 0.676843286 0.710940778 0.712732017 0.718358099 0.755539179 0.756507874 0.816706181 1.11657131 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.229011357 0.245130986 0.261999637 0.327310503 0.399946094 0.404864192 0.410155296 0.413603842 0.417013943 0.420411885 0.420416623 0.422893643 0.427021384 0.430025399 0.433218837 0.437650025 0.441188395 0.444723308 0.449404597 0.453255683 0.457043588 0.459495783 0.463007867 0.466712236 0.471231222 0.474440217 0.479332834 0.48224327 0.485163689 0.488913238 0.493350714 0.495288134 0.496639401 0.499867141 0.50059849 0.502754569 0.507125735 0.511924744 0.516334713 0.517946005 0.518128157 0.519327819 0.522821486 0.525413632 0.528345942 0.53227365 0.536028385 0.540602207 0.544686556 0.54926008 0.549548864 0.552449286 0.55282259 0.560656786 0.565213859 0.568217695 0.568763494 0.57328856 0.577302456 0.577592254 0.584417105 0.589146376 0.593857527 0.5953089 0.59765172 0.603097677 0.607785344 0.613808036 0.620146394 0.620301783 0.626556754 0.632495165 0.63430959 0.637393236 0.643957794 0.651176214 0.662737846 0.674163222 0.683828354 0.685466886 0.691777647 0.698481858 0.701850355 0.702626348 0.716543496 0.725132108 0.729198694 0.743123651 0.747310281 0.763607204 0.769439638 0.771051049 0.771338284 0.785091162 0.802781582 0.823515892 0.862321973 0.873316765 0.912686646 1.13453126 ------------------------------ Transdef: Tab for variable 13 20.0936413 21.7892857 21.9304886 22.979744 23.5117435 23.7518826 24.163826 24.3110046 24.5830421 24.7579689 25.0508766 25.4262886 25.8219242 26.235218 26.6200943 26.9085026 27.0184517 27.2389565 27.5162621 27.6891441 27.8601551 28.0346642 28.3318596 28.6610107 28.8645916 29.0839157 29.2390556 29.3796577 29.4265747 29.6903877 29.7945652 30.0011082 30.4434471 30.5591202 30.7308807 30.9187355 31.013916 31.066824 31.27631 31.6151199 32.0548477 32.079319 32.3833542 32.6821823 32.7216606 33.0800171 33.3213272 33.6107254 33.6813507 34.0327415 34.4423447 34.6519279 34.725296 34.9729156 35.2490654 35.386116 35.4729309 35.7801781 35.9902115 36.2562828 36.4898911 36.9234848 37.2557487 37.271431 37.2743034 37.6340981 37.9336166 38.2364807 38.5514908 38.5541992 38.7722015 39.1588287 39.6862488 40.120224 40.693367 41.2039337 41.649826 42.1357803 43.1954041 43.8917847 44.4164581 45.1152802 45.717865 46.2970543 47.0888214 47.0935898 47.9281578 48.6347771 49.6452255 50.6134872 52.3225365 54.6501656 54.9280052 55.4133987 56.0668983 57.8629723 60.3231735 63.0484505 67.215332 71.6666412 122.020348 ------------------------------ Transdef: Tab for variable 14 10.0131149 10.2458515 10.5338364 10.5782442 10.583498 10.8583193 11.1027203 11.2472019 11.3127441 11.3946419 11.497015 11.7271919 11.7958031 11.7961655 12.200119 12.2932301 12.41714 12.6597548 12.8196821 13.0300474 13.2976255 13.4785004 13.6256771 13.6272535 13.9589901 14.4276829 14.5075226 14.6875153 14.9490223 15.3135586 15.5816174 15.8719492 16.2800579 16.5978394 16.6506348 16.9264984 17.1857357 17.2097397 17.632309 18.0398846 18.4231873 18.6412373 18.7306366 18.8865967 19.0776558 19.2425442 19.6075058 19.8811398 20.1834888 20.416214 20.5879021 20.6865158 21.0037613 21.226017 21.5305996 21.8677502 21.9322891 22.0463562 22.2759972 22.6440125 22.9198723 23.1230545 23.384922 23.7055397 23.7299576 24.1037712 24.3099213 24.7043343 25.0231361 25.2727623 25.3708534 25.6913528 26.0237389 26.214447 26.5730305 26.8585358 27.2082405 27.6210957 28.0676613 28.3609734 28.8043919 29.3108368 29.7926159 30.0881405 30.6057682 31.0646267 31.8691635 32.6077957 33.2311478 33.8587265 33.9888992 34.5118866 35.1141281 36.1811295 37.3709335 38.1866989 40.521965 43.4504509 46.909874 47.7591629 63.7458496 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 50.2 19.0 40.6 11.9 32.2 49.4 40.0 45.3 -22.8 -15.6 -4.4 18.4 35.5 2 50.2 100.0 46.6 39.3 24.9 65.3 94.2 70.6 87.5 -45.1 -21.9 -23.4 43.8 36.5 3 19.0 46.6 100.0 10.3 -1.8 20.1 49.9 38.5 56.9 0.8 -18.9 -32.6 85.2 10.3 4 40.6 39.3 10.3 100.0 3.4 21.8 40.4 36.7 45.9 -9.4 -31.4 -47.8 16.6 83.4 5 11.9 24.9 -1.8 3.4 100.0 81.2 -4.9 44.8 55.1 29.4 -2.6 7.9 -4.3 0.7 6 32.2 65.3 20.1 21.8 81.2 100.0 41.7 72.2 80.8 -1.0 -11.5 -5.0 17.4 19.1 7 49.4 94.2 49.9 40.4 -4.9 41.7 100.0 62.6 73.4 -54.5 -22.7 -28.6 47.6 39.0 8 40.0 70.6 38.5 36.7 44.8 72.2 62.6 100.0 80.3 -8.0 -20.9 -22.0 35.5 32.7 9 45.3 87.5 56.9 45.9 55.1 80.8 73.4 80.3 100.0 -14.3 -23.8 -28.0 51.5 40.2 10 -22.8 -45.1 0.8 -9.4 29.4 -1.0 -54.5 -8.0 -14.3 100.0 6.5 3.7 -4.4 -10.3 11 -15.6 -21.9 -18.9 -31.4 -2.6 -11.5 -22.7 -20.9 -23.8 6.5 100.0 53.4 -16.0 -28.0 12 -4.4 -23.4 -32.6 -47.8 7.9 -5.0 -28.6 -22.0 -28.0 3.7 53.4 100.0 -24.8 -33.8 13 18.4 43.8 85.2 16.6 -4.3 17.4 47.6 35.5 51.5 -4.4 -16.0 -24.8 100.0 30.4 14 35.5 36.5 10.3 83.4 0.7 19.1 39.0 32.7 40.2 -10.3 -28.0 -33.8 30.4 100.0 TOTAL CORRELATION TO TARGET (diagonal) 119.052632 TOTAL CORRELATION OF ALL VARIABLES 61.2189311 ROUND 1: MAX CORR ( 61.2184237) AFTER KILLING INPUT VARIABLE 2 CONTR 0.249254572 ROUND 2: MAX CORR ( 61.2134658) AFTER KILLING INPUT VARIABLE 6 CONTR 0.779098589 ROUND 3: MAX CORR ( 61.189205) AFTER KILLING INPUT VARIABLE 14 CONTR 1.72324912 ROUND 4: MAX CORR ( 61.1429008) AFTER KILLING INPUT VARIABLE 10 CONTR 2.38001894 ROUND 5: MAX CORR ( 61.0572209) AFTER KILLING INPUT VARIABLE 8 CONTR 3.23575336 ROUND 6: MAX CORR ( 60.7795633) AFTER KILLING INPUT VARIABLE 13 CONTR 5.81626257 ROUND 7: MAX CORR ( 60.21199) AFTER KILLING INPUT VARIABLE 11 CONTR 8.28683129 ROUND 8: MAX CORR ( 59.4815576) AFTER KILLING INPUT VARIABLE 3 CONTR 9.35029686 ROUND 9: MAX CORR ( 59.3346134) AFTER KILLING INPUT VARIABLE 9 CONTR 4.17843772 ROUND 10: MAX CORR ( 58.3224868) AFTER KILLING INPUT VARIABLE 5 CONTR 10.9125564 ROUND 11: MAX CORR ( 54.2936985) AFTER KILLING INPUT VARIABLE 12 CONTR 21.3003936 ROUND 12: MAX CORR ( 49.3872819) AFTER KILLING INPUT VARIABLE 4 CONTR 22.5544247 LAST REMAINING VARIABLE: 7 total correlation to target: 61.2189311 % total significance: 28.7881932 sigma correlations of single variables to target: variable 2: 50.2066212 % , in sigma: 23.6096561 variable 3: 18.9759043 % , in sigma: 8.92341613 variable 4: 40.5694716 % , in sigma: 19.0777879 variable 5: 11.8675155 % , in sigma: 5.58069737 variable 6: 32.1934912 % , in sigma: 15.1389844 variable 7: 49.3872819 % , in sigma: 23.2243619 variable 8: 39.979331 % , in sigma: 18.8002744 variable 9: 45.3369045 % , in sigma: 21.3196725 variable 10: -22.7500584 % , in sigma: 10.6982116 variable 11: -15.5953754 % , in sigma: 7.33372296 variable 12: -4.44731877 % , in sigma: 2.09135098 variable 13: 18.3853797 % , in sigma: 8.64572203 variable 14: 35.4701482 % , in sigma: 16.6798319 variables sorted by significance: 1 most relevant variable 7 corr 49.3872833 , in sigma: 23.2243626 2 most relevant variable 4 corr 22.5544243 , in sigma: 10.6062146 3 most relevant variable 12 corr 21.3003941 , in sigma: 10.0165071 4 most relevant variable 5 corr 10.9125566 , in sigma: 5.13162813 5 most relevant variable 9 corr 4.17843771 , in sigma: 1.96490971 6 most relevant variable 3 corr 9.35029697 , in sigma: 4.39697575 7 most relevant variable 11 corr 8.2868309 , in sigma: 3.89688099 8 most relevant variable 13 corr 5.81626272 , in sigma: 2.73509667 9 most relevant variable 8 corr 3.2357533 , in sigma: 1.5216125 10 most relevant variable 10 corr 2.38001895 , in sigma: 1.11920355 11 most relevant variable 14 corr 1.72324908 , in sigma: 0.81035762 12 most relevant variable 6 corr 0.77909857 , in sigma: 0.366370986 13 most relevant variable 2 corr 0.249254569 , in sigma: 0.117211924 global correlations between input variables: variable 2: 99.2190348 % variable 3: 94.428777 % variable 4: 91.4827557 % variable 5: 96.3884487 % variable 6: 94.5046286 % variable 7: 98.9817333 % variable 8: 87.1692792 % variable 9: 98.8391067 % variable 10: 72.8773774 % variable 11: 55.9792538 % variable 12: 69.0244866 % variable 13: 90.0709351 % variable 14: 88.9679985 % significance loss when removing single variables: variable 2: corr = 0.249254572 % , sigma = 0.117211925 variable 3: corr = 9.33511989 % , sigma = 4.38983873 variable 4: corr = 20.0808703 % , sigma = 9.44302623 variable 5: corr = 11.1598496 % , sigma = 5.24791759 variable 6: corr = 0.673720757 % , sigma = 0.316817085 variable 7: corr = 9.66842539 % , sigma = 4.54657559 variable 8: corr = 3.2209419 % , sigma = 1.51464744 variable 9: corr = 8.50179389 % , sigma = 3.9979673 variable 10: corr = 2.27746406 % , sigma = 1.07097713 variable 11: corr = 8.32620612 % , sigma = 3.91539718 variable 12: corr = 22.9372427 % , sigma = 10.7862349 variable 13: corr = 4.16545386 % , sigma = 1.95880405 variable 14: corr = 1.72268401 % , sigma = 0.810091895 Keep only 6 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 7 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 5.8110199 sigma out 15 active outputs RANK 2 NODE 4 --> 4.86192083 sigma out 15 active outputs RANK 3 NODE 5 --> 4.45906448 sigma out 15 active outputs RANK 4 NODE 7 --> 4.04095793 sigma out 15 active outputs RANK 5 NODE 6 --> 4.01537991 sigma out 15 active outputs RANK 6 NODE 2 --> 3.60502195 sigma out 15 active outputs RANK 7 NODE 3 --> 3.11771965 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 6.01142883 sigma in 7act. ( 6.13152742 sig out 1act.) RANK 2 NODE 6 --> 5.05172539 sigma in 7act. ( 5.24831629 sig out 1act.) RANK 3 NODE 12 --> 4.31987953 sigma in 7act. ( 3.74065781 sig out 1act.) RANK 4 NODE 2 --> 3.21223855 sigma in 7act. ( 3.43822551 sig out 1act.) RANK 5 NODE 14 --> 3.1638813 sigma in 7act. ( 3.12271667 sig out 1act.) RANK 6 NODE 13 --> 2.4926455 sigma in 7act. ( 2.53128242 sig out 1act.) RANK 7 NODE 4 --> 2.42018127 sigma in 7act. ( 2.45552802 sig out 1act.) RANK 8 NODE 8 --> 1.93801594 sigma in 7act. ( 1.93328512 sig out 1act.) RANK 9 NODE 11 --> 1.89313233 sigma in 7act. ( 1.65490997 sig out 1act.) RANK 10 NODE 1 --> 1.79367244 sigma in 7act. ( 1.92654622 sig out 1act.) RANK 11 NODE 15 --> 1.67405784 sigma in 7act. ( 1.83115232 sig out 1act.) RANK 12 NODE 7 --> 1.59591722 sigma in 7act. ( 1.46697319 sig out 1act.) RANK 13 NODE 3 --> 1.47333467 sigma in 7act. ( 1.65302455 sig out 1act.) RANK 14 NODE 10 --> 0.915745735 sigma in 7act. ( 0.231171519 sig out 1act.) RANK 15 NODE 5 --> 0.908222973 sigma in 7act. ( 0.649118841 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 6.13152742 sigma out 1act.( 6.01142883 sig in 7act.) RANK 2 NODE 6 --> 5.24831629 sigma out 1act.( 5.05172539 sig in 7act.) RANK 3 NODE 12 --> 3.74065781 sigma out 1act.( 4.31987953 sig in 7act.) RANK 4 NODE 2 --> 3.43822551 sigma out 1act.( 3.21223855 sig in 7act.) RANK 5 NODE 14 --> 3.12271667 sigma out 1act.( 3.1638813 sig in 7act.) RANK 6 NODE 13 --> 2.53128242 sigma out 1act.( 2.4926455 sig in 7act.) RANK 7 NODE 4 --> 2.45552802 sigma out 1act.( 2.42018127 sig in 7act.) RANK 8 NODE 8 --> 1.93328512 sigma out 1act.( 1.93801594 sig in 7act.) RANK 9 NODE 1 --> 1.92654622 sigma out 1act.( 1.79367244 sig in 7act.) RANK 10 NODE 15 --> 1.83115232 sigma out 1act.( 1.67405784 sig in 7act.) RANK 11 NODE 11 --> 1.65490997 sigma out 1act.( 1.89313233 sig in 7act.) RANK 12 NODE 3 --> 1.65302455 sigma out 1act.( 1.47333467 sig in 7act.) RANK 13 NODE 7 --> 1.46697319 sigma out 1act.( 1.59591722 sig in 7act.) RANK 14 NODE 5 --> 0.649118841 sigma out 1act.( 0.908222973 sig in 7act.) RANK 15 NODE 10 --> 0.231171519 sigma out 1act.( 0.915745735 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.4909992 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 14.2452297 sigma out 15 active outputs RANK 2 NODE 4 --> 9.37141991 sigma out 15 active outputs RANK 3 NODE 1 --> 8.52640247 sigma out 15 active outputs RANK 4 NODE 2 --> 5.23896503 sigma out 15 active outputs RANK 5 NODE 5 --> 4.95916033 sigma out 15 active outputs RANK 6 NODE 7 --> 4.94743681 sigma out 15 active outputs RANK 7 NODE 3 --> 4.82646894 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 8.92519951 sigma in 7act. ( 7.41637278 sig out 1act.) RANK 2 NODE 6 --> 8.71985912 sigma in 7act. ( 7.01806831 sig out 1act.) RANK 3 NODE 5 --> 6.50657177 sigma in 7act. ( 2.36117864 sig out 1act.) RANK 4 NODE 7 --> 6.09103966 sigma in 7act. ( 3.0224123 sig out 1act.) RANK 5 NODE 12 --> 5.95944309 sigma in 7act. ( 4.1974082 sig out 1act.) RANK 6 NODE 4 --> 5.83607912 sigma in 7act. ( 2.9525671 sig out 1act.) RANK 7 NODE 8 --> 5.49632597 sigma in 7act. ( 2.67836428 sig out 1act.) RANK 8 NODE 1 --> 5.25634146 sigma in 7act. ( 3.15859842 sig out 1act.) RANK 9 NODE 11 --> 5.19768238 sigma in 7act. ( 2.629807 sig out 1act.) RANK 10 NODE 14 --> 5.17554092 sigma in 7act. ( 4.0753665 sig out 1act.) RANK 11 NODE 2 --> 3.52914762 sigma in 7act. ( 3.76644278 sig out 1act.) RANK 12 NODE 3 --> 3.29073834 sigma in 7act. ( 2.56265283 sig out 1act.) RANK 13 NODE 13 --> 3.27159572 sigma in 7act. ( 1.62356186 sig out 1act.) RANK 14 NODE 15 --> 2.60970521 sigma in 7act. ( 1.56523979 sig out 1act.) RANK 15 NODE 10 --> 2.4732244 sigma in 7act. ( 0.527692258 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 7.41637278 sigma out 1act.( 8.92519951 sig in 7act.) RANK 2 NODE 6 --> 7.01806831 sigma out 1act.( 8.71985912 sig in 7act.) RANK 3 NODE 12 --> 4.1974082 sigma out 1act.( 5.95944309 sig in 7act.) RANK 4 NODE 14 --> 4.0753665 sigma out 1act.( 5.17554092 sig in 7act.) RANK 5 NODE 2 --> 3.76644278 sigma out 1act.( 3.52914762 sig in 7act.) RANK 6 NODE 1 --> 3.15859842 sigma out 1act.( 5.25634146 sig in 7act.) RANK 7 NODE 7 --> 3.0224123 sigma out 1act.( 6.09103966 sig in 7act.) RANK 8 NODE 4 --> 2.9525671 sigma out 1act.( 5.83607912 sig in 7act.) RANK 9 NODE 8 --> 2.67836428 sigma out 1act.( 5.49632597 sig in 7act.) RANK 10 NODE 11 --> 2.629807 sigma out 1act.( 5.19768238 sig in 7act.) RANK 11 NODE 3 --> 2.56265283 sigma out 1act.( 3.29073834 sig in 7act.) RANK 12 NODE 5 --> 2.36117864 sigma out 1act.( 6.50657177 sig in 7act.) RANK 13 NODE 13 --> 1.62356186 sigma out 1act.( 3.27159572 sig in 7act.) RANK 14 NODE 15 --> 1.56523979 sigma out 1act.( 2.60970521 sig in 7act.) RANK 15 NODE 10 --> 0.527692258 sigma out 1act.( 2.4732244 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.5634632 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.42969346 *** contribution from regularisation: 0.0340271033 *** contribution from error: -0.46372056 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.505726993 *** contribution from regularisation: 0.0122294547 *** contribution from error: -0.517956436 *********************************************** -----------------> Test sample ENTER BFGS code START -2965.66369 -0.189068154 0.391719252 EXIT FROM BFGS code FG_START 0. -0.189068154 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.516281545 *** contribution from regularisation: 0.0103247631 *** contribution from error: -0.526606321 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3026.95883 -0.189068154 12.7673054 EXIT FROM BFGS code FG_LNSRCH 0. -0.0460853018 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.511573255 *** contribution from regularisation: 0.015834013 *** contribution from error: -0.527407289 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2999.35415 -0.0460853018 -5.70772839 EXIT FROM BFGS code FG_LNSRCH 0. -0.138754979 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.517088413 *** contribution from regularisation: 0.0153453005 *** contribution from error: -0.532433689 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3031.68924 -0.138754979 5.67583227 EXIT FROM BFGS code NEW_X -3031.68924 -0.138754979 5.67583227 ENTER BFGS code NEW_X -3031.68924 -0.138754979 5.67583227 EXIT FROM BFGS code FG_LNSRCH 0. -0.105008967 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.518496811 *** contribution from regularisation: 0.0146649713 *** contribution from error: -0.533161759 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3039.94669 -0.105008967 2.27873182 EXIT FROM BFGS code NEW_X -3039.94669 -0.105008967 2.27873182 ENTER BFGS code NEW_X -3039.94669 -0.105008967 2.27873182 EXIT FROM BFGS code FG_LNSRCH 0. -0.0283044893 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.519911945 *** contribution from regularisation: 0.012967323 *** contribution from error: -0.532879293 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3048.24362 -0.0283044893 -2.27050495 EXIT FROM BFGS code NEW_X -3048.24362 -0.0283044893 -2.27050495 ENTER BFGS code NEW_X -3048.24362 -0.0283044893 -2.27050495 EXIT FROM BFGS code FG_LNSRCH 0. 0.216140881 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.508108795 *** contribution from regularisation: 0.00846487656 *** contribution from error: -0.516573668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2979.04177 0.216140881 -8.55230808 EXIT FROM BFGS code FG_LNSRCH 0. 0.000104753417 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.484720945 *** contribution from regularisation: 0.0477162674 *** contribution from error: -0.532437205 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2841.91891 0.000104753417 -3.2091279 EXIT FROM BFGS code FG_LNSRCH 0. -0.028169442 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 7.57747698 sigma out 15 active outputs RANK 2 NODE 6 --> 6.55372047 sigma out 15 active outputs RANK 3 NODE 4 --> 5.85579967 sigma out 15 active outputs RANK 4 NODE 2 --> 2.57650661 sigma out 15 active outputs RANK 5 NODE 5 --> 2.43364167 sigma out 15 active outputs RANK 6 NODE 3 --> 2.12482953 sigma out 15 active outputs RANK 7 NODE 7 --> 2.09379148 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 6.39274263 sigma in 7act. ( 6.41545248 sig out 1act.) RANK 2 NODE 14 --> 4.49834824 sigma in 7act. ( 4.69640636 sig out 1act.) RANK 3 NODE 12 --> 4.04683638 sigma in 7act. ( 3.3854208 sig out 1act.) RANK 4 NODE 9 --> 3.96692681 sigma in 7act. ( 3.23543429 sig out 1act.) RANK 5 NODE 7 --> 3.81084466 sigma in 7act. ( 3.01473856 sig out 1act.) RANK 6 NODE 8 --> 3.04759383 sigma in 7act. ( 2.6534934 sig out 1act.) RANK 7 NODE 5 --> 3.00323081 sigma in 7act. ( 2.15922809 sig out 1act.) RANK 8 NODE 4 --> 2.54036283 sigma in 7act. ( 2.03576136 sig out 1act.) RANK 9 NODE 3 --> 2.49887276 sigma in 7act. ( 2.42347693 sig out 1act.) RANK 10 NODE 1 --> 2.47363448 sigma in 7act. ( 1.85073698 sig out 1act.) RANK 11 NODE 11 --> 2.03133297 sigma in 7act. ( 1.35112047 sig out 1act.) RANK 12 NODE 13 --> 1.7166611 sigma in 7act. ( 1.36701179 sig out 1act.) RANK 13 NODE 2 --> 1.39897537 sigma in 7act. ( 1.27432656 sig out 1act.) RANK 14 NODE 15 --> 1.10077715 sigma in 7act. ( 0.852995992 sig out 1act.) RANK 15 NODE 10 --> 1.00770271 sigma in 7act. ( 0.666880012 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 6.41545248 sigma out 1act.( 6.39274263 sig in 7act.) RANK 2 NODE 14 --> 4.69640636 sigma out 1act.( 4.49834824 sig in 7act.) RANK 3 NODE 12 --> 3.3854208 sigma out 1act.( 4.04683638 sig in 7act.) RANK 4 NODE 9 --> 3.23543429 sigma out 1act.( 3.96692681 sig in 7act.) RANK 5 NODE 7 --> 3.01473856 sigma out 1act.( 3.81084466 sig in 7act.) RANK 6 NODE 8 --> 2.6534934 sigma out 1act.( 3.04759383 sig in 7act.) RANK 7 NODE 3 --> 2.42347693 sigma out 1act.( 2.49887276 sig in 7act.) RANK 8 NODE 5 --> 2.15922809 sigma out 1act.( 3.00323081 sig in 7act.) RANK 9 NODE 4 --> 2.03576136 sigma out 1act.( 2.54036283 sig in 7act.) RANK 10 NODE 1 --> 1.85073698 sigma out 1act.( 2.47363448 sig in 7act.) RANK 11 NODE 13 --> 1.36701179 sigma out 1act.( 1.7166611 sig in 7act.) RANK 12 NODE 11 --> 1.35112047 sigma out 1act.( 2.03133297 sig in 7act.) RANK 13 NODE 2 --> 1.27432656 sigma out 1act.( 1.39897537 sig in 7act.) RANK 14 NODE 15 --> 0.852995992 sigma out 1act.( 1.10077715 sig in 7act.) RANK 15 NODE 10 --> 0.666880012 sigma out 1act.( 1.00770271 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.2191172 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.524557054 *** contribution from regularisation: 0.00832035858 *** contribution from error: -0.532877386 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3075.478 -0.028169442 -2.21245217 EXIT FROM BFGS code FG_LNSRCH 0. -0.0279681757 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.511863649 *** contribution from regularisation: 0.0210109204 *** contribution from error: -0.532874584 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3001.05645 -0.0279681757 -2.3441236 EXIT FROM BFGS code FG_LNSRCH 0. -0.0281694084 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.521524668 *** contribution from regularisation: 0.0113527691 *** contribution from error: -0.532877445 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3057.69897 -0.0281694084 -2.30244088 EXIT FROM BFGS code FG_LNSRCH 0. -0.028169442 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.515907168 *** contribution from regularisation: 0.016970247 *** contribution from error: -0.532877445 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3024.7637 -0.028169442 -2.30819488 EXIT FROM BFGS code NEW_X -3024.7637 -0.028169442 -2.30819488 ENTER BFGS code NEW_X -3024.7637 -0.028169442 -2.30819488 EXIT FROM BFGS code CONVERGENC -3024.7637 -0.028169442 -2.30819488 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 11.0158606 sigma out 15 active outputs RANK 2 NODE 6 --> 10.513485 sigma out 15 active outputs RANK 3 NODE 4 --> 9.39420033 sigma out 15 active outputs RANK 4 NODE 2 --> 4.04854059 sigma out 15 active outputs RANK 5 NODE 5 --> 3.6164732 sigma out 15 active outputs RANK 6 NODE 3 --> 3.59976697 sigma out 15 active outputs RANK 7 NODE 7 --> 3.10348344 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 10.083025 sigma in 7act. ( 8.04106426 sig out 1act.) RANK 2 NODE 14 --> 6.73503399 sigma in 7act. ( 6.1000638 sig out 1act.) RANK 3 NODE 9 --> 6.22967148 sigma in 7act. ( 4.29126978 sig out 1act.) RANK 4 NODE 12 --> 6.04895782 sigma in 7act. ( 4.27312183 sig out 1act.) RANK 5 NODE 7 --> 5.86649513 sigma in 7act. ( 3.57465076 sig out 1act.) RANK 6 NODE 8 --> 4.79787445 sigma in 7act. ( 3.6073854 sig out 1act.) RANK 7 NODE 5 --> 4.65037012 sigma in 7act. ( 2.80952525 sig out 1act.) RANK 8 NODE 4 --> 3.97096372 sigma in 7act. ( 2.82964087 sig out 1act.) RANK 9 NODE 1 --> 3.83914804 sigma in 7act. ( 2.33420062 sig out 1act.) RANK 10 NODE 3 --> 3.74331117 sigma in 7act. ( 3.0035274 sig out 1act.) RANK 11 NODE 11 --> 3.16952419 sigma in 7act. ( 1.87524712 sig out 1act.) RANK 12 NODE 13 --> 2.4910078 sigma in 7act. ( 1.69654024 sig out 1act.) RANK 13 NODE 2 --> 2.16491818 sigma in 7act. ( 1.48733592 sig out 1act.) RANK 14 NODE 15 --> 1.69899523 sigma in 7act. ( 0.983357668 sig out 1act.) RANK 15 NODE 10 --> 1.5363903 sigma in 7act. ( 0.75049901 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 8.04106426 sigma out 1act.( 10.083025 sig in 7act.) RANK 2 NODE 14 --> 6.1000638 sigma out 1act.( 6.73503399 sig in 7act.) RANK 3 NODE 9 --> 4.29126978 sigma out 1act.( 6.22967148 sig in 7act.) RANK 4 NODE 12 --> 4.27312183 sigma out 1act.( 6.04895782 sig in 7act.) RANK 5 NODE 8 --> 3.6073854 sigma out 1act.( 4.79787445 sig in 7act.) RANK 6 NODE 7 --> 3.57465076 sigma out 1act.( 5.86649513 sig in 7act.) RANK 7 NODE 3 --> 3.0035274 sigma out 1act.( 3.74331117 sig in 7act.) RANK 8 NODE 4 --> 2.82964087 sigma out 1act.( 3.97096372 sig in 7act.) RANK 9 NODE 5 --> 2.80952525 sigma out 1act.( 4.65037012 sig in 7act.) RANK 10 NODE 1 --> 2.33420062 sigma out 1act.( 3.83914804 sig in 7act.) RANK 11 NODE 11 --> 1.87524712 sigma out 1act.( 3.16952419 sig in 7act.) RANK 12 NODE 13 --> 1.69654024 sigma out 1act.( 2.4910078 sig in 7act.) RANK 13 NODE 2 --> 1.48733592 sigma out 1act.( 2.16491818 sig in 7act.) RANK 14 NODE 15 --> 0.983357668 sigma out 1act.( 1.69899523 sig in 7act.) RANK 15 NODE 10 --> 0.75049901 sigma out 1act.( 1.5363903 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.3123236 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.519342124 *** contribution from regularisation: 0.0135352807 *** contribution from error: -0.532877386 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done