NNInput NNInputs_160.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= 198350 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 = 56645 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 56645 Chosen entries: 56645 Signal fraction: 1 Background fraction: 0.399739 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 56645 Entries to split: 56645 Test with : 28322 Train with : 28322 ********************************************* * 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= 56645 for Signal Prepared event 0 for Signal with 56645 events ====Entry 0 Variable Ht : 120.598 Variable LepAPt : 29.9056 Variable LepBPt : 13.5082 Variable MetSigLeptonsJets : 11.7141 Variable MetSpec : 77.1834 Variable SumEtLeptonsJets : 43.4138 Variable VSumJetLeptonsPt : 43.304 Variable addEt : 120.598 Variable dPhiLepSumMet : 2.82377 Variable dPhiLeptons : 0.153702 Variable dRLeptons : 0.732968 Variable lep1_E : 40.451 Variable lep2_E : 32.7603 ===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 = 2160 Ht = 120.598 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 29.9058 LepAPt = 29.9056 LepBEt = 13.5084 LepBPt = 13.5082 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 77.1834 MetDelPhi = 2.77599 MetSig = 6.78472 MetSigLeptonsJets = 11.7141 MetSpec = 77.1834 Mjj = 0 MostCentralJetEta = 0 MtllMet = 139.14 Njets = 0 SB = 0 SumEt = 129.415 SumEtJets = 0 SumEtLeptonsJets = 43.4138 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 43.304 addEt = 120.598 dPhiLepSumMet = 2.82377 dPhiLeptons = 0.153702 dRLeptons = 0.732968 diltype = 34 dimass = 15.0375 event = 2600 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 40.451 lep2_E = 32.7603 rand = 0.999742 run = 233650 weight = 2.30027e-06 ===Show End Prepared event 10000 for Signal with 56645 events Prepared event 20000 for Signal with 56645 events Prepared event 30000 for Signal with 56645 events Prepared event 40000 for Signal with 56645 events Prepared event 50000 for Signal with 56645 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= 141705 for Background Prepared event 0 for Background with 141705 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 = 0.324256 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 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepared event 110000 for Background with 141705 events Prepared event 120000 for Background with 141705 events Prepared event 130000 for Background with 141705 events Prepared event 140000 for Background with 141705 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 198350 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: 62.9112778 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 47.1748543 62.4816933 64.9094925 66.8078156 68.2330856 69.2799835 70.246933 71.1598434 71.9038086 72.8045654 73.630188 74.3270645 75.0751648 75.6938248 76.3487854 77.0652542 77.7285004 78.361969 79.0961609 79.679245 80.3274536 81.1407852 81.975708 82.6352539 83.5191803 84.4916382 85.5027847 86.4194641 87.7997131 89.1807098 90.5927734 92.2350616 93.547142 95.1161346 96.5629425 98.1702881 99.7955627 101.461487 102.907402 104.443542 105.989136 107.50177 109.168701 110.815598 112.422256 114.007523 115.80352 117.385437 119.113693 120.86158 122.630188 124.371422 126.111511 127.821304 129.339325 130.912628 132.492706 133.944733 135.569992 137.177399 138.713654 140.198486 141.744446 143.170593 144.579224 146.105621 147.593597 149.006653 150.434158 151.795288 153.136124 154.433746 155.825958 157.181046 158.828354 160.322876 161.94632 163.825775 166.023621 168.395691 170.729218 173.240646 175.727386 178.211578 181.094727 184.311081 187.540314 190.512085 193.800842 197.58139 201.817902 206.573181 211.896393 218.1987 224.897156 233.419083 244.129501 257.966431 279.546814 325.296082 1486.89319 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3906631 20.6788368 20.9846363 21.251255 21.5651188 21.8293056 22.0608177 22.3088436 22.5212479 22.7522373 22.9304962 23.1248417 23.402462 23.6329346 23.8368206 24.0939655 24.354641 24.5698223 24.8132973 25.0091438 25.2466812 25.4182358 25.5970764 25.7801685 26.0059719 26.2557564 26.4526119 26.700201 26.9652023 27.1993523 27.4789276 27.7451916 27.975193 28.1843414 28.4440804 28.6723785 28.8975296 29.131546 29.3680382 29.6225395 29.8426361 30.1317959 30.4428978 30.675539 30.9710312 31.25774 31.5524578 31.811924 32.1028786 32.3840179 32.6408463 32.9161186 33.185257 33.4892731 33.7749252 34.0797882 34.3405495 34.6465759 34.9687653 35.2939072 35.5947914 35.9146843 36.2157059 36.5312958 36.8535843 37.1674576 37.4824371 37.781868 38.0935745 38.4093094 38.7213936 39.0460701 39.3478279 39.6924591 40.0253067 40.4002151 40.7394371 40.9984169 41.3869514 41.8102798 42.2510872 42.6295891 43.0689621 43.5179214 44.0207291 44.551239 45.1515236 45.819725 46.490303 47.2002182 47.9777451 48.9134445 50.0595779 51.3871078 52.9174118 54.7600098 57.2124443 60.9357529 66.526062 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0006914 10.1258297 10.2691755 10.3862572 10.5035019 10.6689529 10.7952623 10.9259024 11.0397158 11.1877394 11.3222332 11.4434528 11.5903835 11.7422161 11.9154997 12.0909481 12.2641544 12.4090729 12.5865479 12.746973 12.9123268 13.0904655 13.2941542 13.4800339 13.6424046 13.8239765 14.0353909 14.1915541 14.37953 14.6174736 14.8326645 15.0684586 15.3248329 15.5154066 15.7304602 15.9610367 16.2153664 16.4379253 16.6823654 16.9181747 17.2010098 17.4763451 17.7448997 17.9862728 18.2063828 18.495224 18.7720852 19.0639572 19.3714008 19.7076912 20.0357552 20.2448997 20.5326118 20.8397942 21.1572514 21.4496441 21.7476215 22.0386181 22.3604221 22.6736164 22.9994583 23.3264847 23.641983 23.9799137 24.3465271 24.7113266 25.0912838 25.4772987 25.8161964 26.1523056 26.5033855 26.8996315 27.263588 27.6201878 27.9747696 28.3166428 28.6808929 29.0551529 29.4989147 29.9030514 30.2577877 30.6635685 31.1009178 31.5346508 31.9992638 32.4182358 32.8743896 33.3284264 33.8224487 34.3255997 34.8901176 35.5055084 36.14468 36.84935 37.5824127 38.6091957 39.7605095 41.3380966 43.622818 47.8177795 72.3423386 ------------------------------ Transdef: Tab for variable 5 1.02583945 2.65427136 3.04292846 3.32019567 3.58933616 3.79181004 3.98345613 4.12933922 4.27039146 4.38511753 4.5055728 4.60105133 4.70100737 4.79486132 4.89451218 4.97654581 5.04422474 5.12211037 5.18794918 5.25826359 5.3090086 5.37254047 5.4309535 5.48321676 5.53719711 5.58874464 5.63579464 5.68244934 5.73056316 5.78337669 5.82619572 5.87201691 5.91948605 5.96765709 6.01162338 6.0558939 6.10658932 6.15010834 6.19929886 6.251441 6.28496361 6.32744932 6.37161779 6.41789341 6.46493959 6.51997089 6.57118273 6.62060738 6.66571426 6.71971369 6.76289511 6.81340599 6.85215282 6.90226078 6.96076012 7.00745869 7.05864668 7.11660194 7.16998672 7.22233295 7.27647686 7.33678627 7.39128494 7.43946362 7.49985409 7.56205654 7.61912346 7.68247128 7.74265003 7.80192757 7.86101723 7.92169666 7.98009443 8.0459137 8.10931396 8.16929436 8.22458267 8.28475094 8.34589291 8.40965271 8.47579288 8.53948402 8.60356808 8.66521931 8.73436165 8.80493546 8.8796196 8.95886421 9.04586983 9.14903259 9.25003433 9.35609722 9.47863007 9.61742592 9.78455067 9.97702408 10.2165909 10.5343056 10.9990368 11.9227915 26.9916515 ------------------------------ Transdef: Tab for variable 6 15.0022345 20.4800186 25.0760365 26.0335541 26.9389668 27.7677917 28.6763973 29.4681396 30.1941032 30.9226418 31.5567856 32.1873817 32.6921463 33.179924 33.6018143 34.0945396 34.5600128 34.8994942 35.3097382 35.747448 36.1667709 36.5582581 36.9865494 37.364151 37.730423 38.0619698 38.4746399 38.8954926 39.2865677 39.6228409 40.0359459 40.4269905 40.834816 41.268692 41.6879616 42.1494675 42.5873566 43.0002098 43.4759407 43.8997879 44.3459625 44.9395828 45.6610718 46.2670288 46.9198418 47.6901932 48.4054413 49.1139297 49.8231544 50.4991608 51.2395554 52.0874405 52.9360428 53.7584648 54.5669594 55.327179 56.1295395 56.9317894 57.6948318 58.3897858 59.1874084 59.9235611 60.7275314 61.5341835 62.3656998 63.1696396 64.0367737 64.8467331 65.684967 66.4628296 67.213974 68.0081787 68.7799606 69.5759201 70.3408203 71.1392517 71.8977966 72.6512604 73.423645 74.241333 75.0348816 75.7855759 76.7059479 77.292923 78.0874405 78.9737778 80.0093994 81.0855865 82.1257019 83.3952179 84.8555756 86.4502029 88.2251282 90.3743134 93.0119553 96.23909 99.8706131 104.771469 112.021378 124.551514 738.435913 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.925045 33.7815361 34.3931656 35.0208893 35.6020393 36.0167847 36.4295082 36.9409103 37.3432541 37.6826782 38.030304 38.3941154 38.7240295 38.9751892 39.2323608 39.5054016 39.79282 40.1997147 40.4755325 40.8365784 41.2120323 41.5300827 41.9662857 42.3728867 43.0309486 43.5924835 44.3339577 44.9294968 45.5228577 46.3526802 47.1890869 48.165741 49.0200119 49.9159622 50.9304276 52.0147285 52.9252319 53.8562927 54.9388237 55.9386139 56.880867 57.7248383 58.6589813 59.5503349 60.4578781 61.3383636 62.1781082 63.0902519 63.8845444 64.7756653 65.6413574 66.545105 67.3917007 68.2063675 69.0610046 69.9268188 70.7535248 71.5114822 72.3743896 73.2134552 74.0737152 74.8871918 75.6987381 76.646759 77.5919952 78.5243378 79.5180969 80.5826263 81.7298889 82.8506775 84.2725983 85.7255096 87.1402664 88.7342224 90.4471741 92.0683746 93.7282257 95.3593369 97.1049118 98.9456177 100.855576 102.738419 104.931 107.212097 109.62941 112.164696 115.131531 118.343231 121.673279 125.064995 128.927551 133.349869 138.342316 144.350006 151.594482 160.982025 172.627594 188.531219 222.593323 748.456726 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.1438293 28.4469643 30.6826019 31.85849 32.6160583 33.192482 33.731636 34.217247 34.6951447 35.1337433 35.4763031 35.8506622 36.1881485 36.5080414 36.8178902 37.1576385 37.4544296 37.7552032 38.0570259 38.311512 38.5660286 38.8078003 39.0261383 39.2912979 39.6175537 39.9816971 40.2672043 40.5492783 40.8964157 41.2577209 41.639389 42.0153084 42.4141998 42.9846725 43.4083862 43.9287643 44.397377 44.929554 45.533596 46.1017303 46.6976318 47.344059 48.0737 48.7232666 49.2958603 49.9760895 50.671669 51.3189888 52.0118523 52.7662201 53.4490967 54.1275749 54.897316 55.5901566 56.3089104 57.0202484 57.7130051 58.3653717 59.0600433 59.7472839 60.5047989 61.1953964 61.8467102 62.5813141 63.3085556 63.9920654 64.6607208 65.3484573 66.0635757 66.7277222 67.4701691 68.1733856 68.9256439 69.6362152 70.3465042 71.06353 71.8456039 72.5971298 73.3345795 74.0948944 74.8722916 75.637352 76.4592133 77.3469849 78.200325 79.1698074 80.1321793 81.3463745 82.7640533 84.2515717 85.8903198 87.9511566 90.2528 93.2049103 96.5261688 100.647285 106.233307 114.996262 133.093536 744.690247 ------------------------------ Transdef: Tab for variable 9 47.1748543 61.5691757 63.9831848 65.9108887 67.3922729 68.5211487 69.4283981 70.2477112 71.0071259 71.6950455 72.5678864 73.3391571 73.9865265 74.5998688 75.3061829 75.7789459 76.3310852 77.0112152 77.5561523 78.1121902 78.6393738 79.2745056 79.7866669 80.3614807 81.0551453 81.7628021 82.427803 83.0504913 83.7557678 84.5484009 85.3652496 86.1930695 87.1341782 88.1740265 89.2394638 90.2776642 91.5222778 92.8188019 93.7215881 95.1963959 96.3220901 97.7874908 99.3300018 100.840973 102.035965 103.42347 104.719551 105.985916 107.385506 108.805573 110.215767 111.591415 113.012527 114.286819 115.518555 116.779022 118.273087 119.600082 120.852951 122.215363 123.624542 124.91246 126.16861 127.530106 128.741913 129.976654 131.225677 132.420044 133.542297 134.781525 136.063126 137.230072 138.406677 139.54184 140.718506 141.917999 143.064682 144.13649 145.214569 146.412842 147.558395 148.598511 149.611908 150.705597 151.765671 152.854645 153.899323 155.080765 156.163284 157.338104 158.57196 159.9561 161.446716 163.081604 165.088776 167.732407 171.10965 176.071228 184.119919 203.350586 801.871094 ------------------------------ Transdef: Tab for variable 10 0.00602381537 1.02592003 1.40047193 1.62713671 1.78758967 1.91649449 2.00604725 2.09653211 2.17243624 2.23385715 2.28568077 2.3291223 2.3711524 2.41459727 2.45160246 2.48536706 2.51564407 2.54185438 2.56972408 2.59679747 2.61926746 2.64320326 2.66499472 2.68549871 2.70522499 2.72262239 2.74016428 2.75536799 2.77165794 2.78520155 2.79880095 2.81249642 2.82544088 2.8375814 2.84831119 2.85845613 2.86879921 2.87931299 2.88931513 2.89869595 2.90761542 2.91573167 2.92200947 2.92947865 2.93695021 2.94434309 2.95048618 2.95774555 2.9634378 2.96913457 2.97529364 2.98041487 2.98618793 2.990695 2.99631548 3.00101805 3.00592852 3.01089001 3.01548862 3.02023554 3.02426338 3.02819276 3.03205252 3.03603482 3.04026699 3.04374027 3.04781151 3.0517292 3.05555534 3.05898285 3.06234837 3.06580257 3.06852674 3.0717783 3.07483816 3.07769608 3.08086419 3.08375549 3.08647203 3.08915281 3.09196639 3.09489584 3.09751606 3.10016847 3.10289264 3.10526729 3.10816145 3.11049056 3.11315775 3.11539507 3.11746407 3.11980224 3.12247562 3.12503195 3.12740183 3.12956667 3.1322124 3.13444948 3.13665724 3.13896465 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00583939627 0.0112807676 0.0173983574 0.0236238521 0.0295228958 0.036927104 0.0448951796 0.0519141555 0.0589579493 0.0665078163 0.0742731243 0.0817427039 0.0899583101 0.0973977447 0.105467498 0.112868875 0.119881481 0.126716137 0.133764207 0.140720367 0.147788048 0.1542449 0.160721898 0.166992605 0.172793254 0.17865558 0.184105515 0.190163463 0.19533062 0.200861096 0.205449998 0.210139036 0.215178013 0.221093178 0.22606647 0.230544329 0.235198051 0.240520954 0.245690703 0.250817299 0.255609393 0.260382652 0.26587677 0.270933509 0.276003122 0.281103015 0.285883963 0.290704966 0.296364546 0.301011086 0.306215167 0.311707854 0.317327231 0.322550356 0.327251315 0.333143473 0.338500738 0.343697488 0.349462271 0.355038494 0.359588027 0.365146697 0.371210456 0.376349688 0.382058859 0.387324989 0.393681049 0.399516344 0.405582786 0.41123724 0.417566806 0.425096869 0.431224108 0.438130081 0.445027858 0.452445298 0.460286856 0.468252242 0.475364089 0.483466983 0.492570162 0.502654791 0.511064351 0.52001828 0.528278947 0.537832379 0.545416892 0.556986094 0.569795072 0.583045483 0.597900689 0.613467216 0.631893039 0.649049401 0.669655085 0.700409651 0.729447544 0.775708079 0.833439112 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.200000316 0.209871262 0.219920382 0.229084685 0.236514002 0.243858308 0.250961006 0.257736295 0.264557511 0.271201611 0.277649641 0.283633262 0.289807975 0.296424508 0.302160859 0.307446897 0.312585056 0.31746906 0.32289049 0.328297347 0.332848787 0.338530958 0.344218552 0.348977745 0.35392347 0.359381616 0.364490151 0.369591027 0.374483377 0.379362881 0.384759128 0.390015036 0.395010471 0.399064958 0.40309459 0.40684849 0.41058296 0.413887084 0.417720079 0.421082497 0.424899578 0.428837299 0.432999313 0.436766624 0.440164059 0.444552839 0.448312074 0.452367127 0.456629008 0.460761517 0.465663612 0.47009027 0.47374171 0.477916002 0.48206234 0.486126781 0.490059257 0.494090497 0.498259455 0.5025419 0.50763762 0.512782037 0.517669976 0.521866322 0.526460409 0.531558394 0.537154198 0.542874932 0.547429681 0.55222702 0.55751729 0.562818527 0.56810236 0.57402581 0.580251575 0.586715579 0.593250751 0.600054622 0.607100964 0.614225507 0.621296465 0.629208267 0.637066841 0.645020604 0.653136492 0.661661506 0.670413136 0.678981543 0.691372335 0.702233553 0.71418345 0.725320578 0.73914659 0.752252698 0.768156767 0.788748085 0.807159305 0.830473185 0.860043287 0.897046804 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.7057381 22.4976768 23.1382389 23.7928391 24.4973412 25.0405045 25.5338974 25.9715443 26.4366417 26.8815155 27.3194141 27.718338 28.2613106 28.6334438 28.9606075 29.3441963 29.6785202 30.0628986 30.4388008 30.7838535 31.0798912 31.4625549 31.7937489 32.121891 32.4375 32.76017 33.10215 33.4104233 33.762001 34.1558838 34.5148773 34.8646622 35.2024689 35.5595016 35.90205 36.2050171 36.5324554 36.9073639 37.2491646 37.5943756 37.8945274 38.2303047 38.5532379 38.8811226 39.2306824 39.5656433 39.8966751 40.2528458 40.5904922 40.9356384 41.2951736 41.6389961 42.0310287 42.4327087 42.8118591 43.1181297 43.4979782 43.8425026 44.2535553 44.6968155 45.1267242 45.5552063 45.9736137 46.4433136 46.8694611 47.2985954 47.7602997 48.1921196 48.6737442 49.1486816 49.6721725 50.190361 50.7627945 51.3725281 52.0706329 52.6840019 53.3657837 54.0977249 54.8081055 55.5261154 56.2767525 57.1024399 58.085701 59.0338326 60.0890656 61.1677399 62.3746948 63.6786804 65.0916214 66.9018021 68.1416016 69.949234 72.1427765 74.4625702 77.3824692 80.8500519 85.3217621 91.3115082 100.72644 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7712402 11.2544641 11.5659428 11.9154835 12.3029861 12.6317043 12.9728355 13.3765602 13.7208242 14.056221 14.391181 14.7173405 15.0854301 15.417181 15.740715 16.1658096 16.4583263 16.7811852 17.1046181 17.3772907 17.6924934 17.9273911 18.250906 18.6317215 18.967186 19.2269516 19.608284 19.9862175 20.320591 20.6827545 21.0215836 21.3212261 21.6576481 21.9442902 22.2636585 22.5794983 22.8896885 23.1822433 23.508379 23.8352051 24.187027 24.5130539 24.8395042 25.1534519 25.5181732 25.7937851 26.1188354 26.4278946 26.8016815 27.1388454 27.483242 27.7448521 27.9769897 28.2850113 28.6508675 28.9915581 29.3101368 29.6544189 29.987545 30.3289814 30.6850796 31.0689392 31.4158287 31.7505779 32.100296 32.482666 32.8010864 33.169693 33.5171585 33.8462563 34.2343063 34.614769 34.9706802 35.3819885 35.8050079 36.2109909 36.6632385 37.0955582 37.4845924 37.9792252 38.5170746 39.0590096 39.6208649 40.2013741 40.8371277 41.4408798 42.2045898 43.0259056 43.8094254 44.5034485 45.4222031 46.5127869 47.7591171 49.0877228 50.7290077 52.8917542 55.6917801 59.7178726 66.3506927 118.581718 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 66.1 51.2 57.0 32.1 51.2 63.1 56.1 64.7 -22.6 -20.3 -43.2 12.6 31.4 2 66.1 100.0 66.1 64.2 39.5 70.1 94.6 76.4 91.8 -43.9 -25.8 -52.7 28.7 39.6 3 51.2 66.1 100.0 51.8 10.8 34.2 69.8 53.3 70.8 -16.4 -28.2 -57.9 60.1 31.6 4 57.0 64.2 51.8 100.0 21.6 42.1 63.9 56.5 71.0 -9.8 -32.4 -67.0 21.2 73.8 5 32.1 39.5 10.8 21.6 100.0 85.2 12.6 61.2 60.3 21.7 -8.7 -15.0 -4.1 10.8 6 51.2 70.1 34.2 42.1 85.2 100.0 49.2 80.6 80.7 -5.8 -17.2 -32.6 8.1 24.3 7 63.1 94.6 69.8 63.9 12.6 49.2 100.0 67.3 80.6 -52.7 -24.6 -52.8 33.3 40.3 8 56.1 76.4 53.3 56.5 61.2 80.6 67.3 100.0 84.7 -10.5 -24.5 -46.7 21.9 35.9 9 64.7 91.8 70.8 71.0 60.3 80.7 80.6 84.7 100.0 -19.7 -28.7 -58.5 32.7 45.9 10 -22.6 -43.9 -16.4 -9.8 21.7 -5.8 -52.7 -10.5 -19.7 100.0 2.7 7.8 -6.2 -3.5 11 -20.3 -25.8 -28.2 -32.4 -8.7 -17.2 -24.6 -24.5 -28.7 2.7 100.0 53.9 -10.3 -22.2 12 -43.2 -52.7 -57.9 -67.0 -15.0 -32.6 -52.8 -46.7 -58.5 7.8 53.9 100.0 -25.8 -43.3 13 12.6 28.7 60.1 21.2 -4.1 8.1 33.3 21.9 32.7 -6.2 -10.3 -25.8 100.0 49.1 14 31.4 39.6 31.6 73.8 10.8 24.3 40.3 35.9 45.9 -3.5 -22.2 -43.3 49.1 100.0 TOTAL CORRELATION TO TARGET (diagonal) 170.706472 TOTAL CORRELATION OF ALL VARIABLES 72.9980606 ROUND 1: MAX CORR ( 72.9973362) AFTER KILLING INPUT VARIABLE 14 CONTR 0.325215934 ROUND 2: MAX CORR ( 72.9959449) AFTER KILLING INPUT VARIABLE 8 CONTR 0.450685933 ROUND 3: MAX CORR ( 72.9879661) AFTER KILLING INPUT VARIABLE 11 CONTR 1.07924937 ROUND 4: MAX CORR ( 72.9429115) AFTER KILLING INPUT VARIABLE 12 CONTR 2.56414752 ROUND 5: MAX CORR ( 72.8904896) AFTER KILLING INPUT VARIABLE 10 CONTR 2.76493319 ROUND 6: MAX CORR ( 72.7657668) AFTER KILLING INPUT VARIABLE 6 CONTR 4.26223753 ROUND 7: MAX CORR ( 72.5259377) AFTER KILLING INPUT VARIABLE 2 CONTR 5.90298015 ROUND 8: MAX CORR ( 71.4700828) AFTER KILLING INPUT VARIABLE 13 CONTR 12.3304057 ROUND 9: MAX CORR ( 70.2266386) AFTER KILLING INPUT VARIABLE 9 CONTR 13.2737318 ROUND 10: MAX CORR ( 69.8519772) AFTER KILLING INPUT VARIABLE 3 CONTR 7.24444971 ROUND 11: MAX CORR ( 67.5730993) AFTER KILLING INPUT VARIABLE 4 CONTR 17.6967503 ROUND 12: MAX CORR ( 63.0549066) AFTER KILLING INPUT VARIABLE 5 CONTR 24.2940838 LAST REMAINING VARIABLE: 7 total correlation to target: 72.9980606 % total significance: 155.43624 sigma correlations of single variables to target: variable 2: 66.140515 % , in sigma: 140.83433 variable 3: 51.2369882 % , in sigma: 109.099951 variable 4: 56.9894799 % , in sigma: 121.348847 variable 5: 32.06429 % , in sigma: 68.2751382 variable 6: 51.1936957 % , in sigma: 109.007767 variable 7: 63.0549066 % , in sigma: 134.264082 variable 8: 56.0880281 % , in sigma: 119.429367 variable 9: 64.6548772 % , in sigma: 137.670932 variable 10: -22.6009672 % , in sigma: 48.1246945 variable 11: -20.345411 % , in sigma: 43.3218932 variable 12: -43.2243676 % , in sigma: 92.0385162 variable 13: 12.6488356 % , in sigma: 26.9334204 variable 14: 31.449472 % , in sigma: 66.9659938 variables sorted by significance: 1 most relevant variable 7 corr 63.0549049 , in sigma: 134.264079 2 most relevant variable 5 corr 24.2940845 , in sigma: 51.7298833 3 most relevant variable 4 corr 17.6967506 , in sigma: 37.6820474 4 most relevant variable 3 corr 7.24444962 , in sigma: 15.4257524 5 most relevant variable 9 corr 13.2737322 , in sigma: 28.2640252 6 most relevant variable 13 corr 12.3304062 , in sigma: 26.2553821 7 most relevant variable 2 corr 5.90298033 , in sigma: 12.5693349 8 most relevant variable 6 corr 4.26223755 , in sigma: 9.07566822 9 most relevant variable 10 corr 2.76493311 , in sigma: 5.88742773 10 most relevant variable 12 corr 2.56414747 , in sigma: 5.45989083 11 most relevant variable 11 corr 1.07924938 , in sigma: 2.29806744 12 most relevant variable 8 corr 0.450685918 , in sigma: 0.959654599 13 most relevant variable 14 corr 0.325215936 , in sigma: 0.692488839 global correlations between input variables: variable 2: 99.2020268 % variable 3: 91.874906 % variable 4: 92.9131815 % variable 5: 95.3205883 % variable 6: 94.9583236 % variable 7: 98.8228034 % variable 8: 90.4219239 % variable 9: 98.7130717 % variable 10: 71.8839036 % variable 11: 55.0484357 % variable 12: 78.7699914 % variable 13: 83.5974092 % variable 14: 88.4616366 % significance loss when removing single variables: variable 2: corr = 4.49671043 % , sigma = 9.57493605 variable 3: corr = 17.7954049 % , sigma = 37.8921139 variable 4: corr = 14.5108305 % , sigma = 30.8982035 variable 5: corr = 12.2884462 % , sigma = 26.1660358 variable 6: corr = 3.6610925 % , sigma = 7.79563797 variable 7: corr = 5.03978507 % , sigma = 10.7313158 variable 8: corr = 0.450635587 % , sigma = 0.959547428 variable 9: corr = 13.2753542 % , sigma = 28.2674789 variable 10: corr = 2.74141775 % , sigma = 5.837356 variable 11: corr = 1.12544039 % , sigma = 2.39642288 variable 12: corr = 1.81177331 % , sigma = 3.85784539 variable 13: corr = 8.79552458 % , sigma = 18.7284876 variable 14: corr = 0.325215934 % , sigma = 0.692488836 Keep only 10 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 11 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 20.1691246 sigma out 15 active outputs RANK 2 NODE 3 --> 12.0809193 sigma out 15 active outputs RANK 3 NODE 4 --> 11.7385244 sigma out 15 active outputs RANK 4 NODE 9 --> 10.7326908 sigma out 15 active outputs RANK 5 NODE 7 --> 8.90215015 sigma out 15 active outputs RANK 6 NODE 11 --> 8.85255814 sigma out 15 active outputs RANK 7 NODE 1 --> 8.47118378 sigma out 15 active outputs RANK 8 NODE 10 --> 7.23654175 sigma out 15 active outputs RANK 9 NODE 6 --> 6.8482604 sigma out 15 active outputs RANK 10 NODE 5 --> 6.73248625 sigma out 15 active outputs RANK 11 NODE 8 --> 5.61179161 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 22.2490845 sigma in 11act. ( 30.2899971 sig out 1act.) RANK 2 NODE 11 --> 14.5855713 sigma in 11act. ( 19.5097065 sig out 1act.) RANK 3 NODE 12 --> 14.0742655 sigma in 11act. ( 17.9362774 sig out 1act.) RANK 4 NODE 2 --> 10.8523502 sigma in 11act. ( 6.7555871 sig out 1act.) RANK 5 NODE 14 --> 7.6209712 sigma in 11act. ( 10.4206238 sig out 1act.) RANK 6 NODE 9 --> 6.25298738 sigma in 11act. ( 9.02992153 sig out 1act.) RANK 7 NODE 8 --> 4.6676383 sigma in 11act. ( 1.48222721 sig out 1act.) RANK 8 NODE 1 --> 4.55290079 sigma in 11act. ( 4.47938442 sig out 1act.) RANK 9 NODE 5 --> 4.32518625 sigma in 11act. ( 5.25813532 sig out 1act.) RANK 10 NODE 7 --> 2.87600803 sigma in 11act. ( 1.41252267 sig out 1act.) RANK 11 NODE 15 --> 2.69776011 sigma in 11act. ( 2.70062304 sig out 1act.) RANK 12 NODE 6 --> 2.6689167 sigma in 11act. ( 5.24000359 sig out 1act.) RANK 13 NODE 13 --> 1.75202358 sigma in 11act. ( 2.66663575 sig out 1act.) RANK 14 NODE 10 --> 1.40199149 sigma in 11act. ( 1.30913222 sig out 1act.) RANK 15 NODE 4 --> 1.20782423 sigma in 11act. ( 0.630770683 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 30.2899971 sigma out 1act.( 22.2490845 sig in 11act.) RANK 2 NODE 11 --> 19.5097065 sigma out 1act.( 14.5855713 sig in 11act.) RANK 3 NODE 12 --> 17.9362774 sigma out 1act.( 14.0742655 sig in 11act.) RANK 4 NODE 14 --> 10.4206238 sigma out 1act.( 7.6209712 sig in 11act.) RANK 5 NODE 9 --> 9.02992153 sigma out 1act.( 6.25298738 sig in 11act.) RANK 6 NODE 2 --> 6.7555871 sigma out 1act.( 10.8523502 sig in 11act.) RANK 7 NODE 5 --> 5.25813532 sigma out 1act.( 4.32518625 sig in 11act.) RANK 8 NODE 6 --> 5.24000359 sigma out 1act.( 2.6689167 sig in 11act.) RANK 9 NODE 1 --> 4.47938442 sigma out 1act.( 4.55290079 sig in 11act.) RANK 10 NODE 15 --> 2.70062304 sigma out 1act.( 2.69776011 sig in 11act.) RANK 11 NODE 13 --> 2.66663575 sigma out 1act.( 1.75202358 sig in 11act.) RANK 12 NODE 8 --> 1.48222721 sigma out 1act.( 4.6676383 sig in 11act.) RANK 13 NODE 7 --> 1.41252267 sigma out 1act.( 2.87600803 sig in 11act.) RANK 14 NODE 10 --> 1.30913222 sigma out 1act.( 1.40199149 sig in 11act.) RANK 15 NODE 4 --> 0.630770683 sigma out 1act.( 1.20782423 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 44.1754265 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 31.9148808 sigma out 15 active outputs RANK 2 NODE 3 --> 14.7292871 sigma out 15 active outputs RANK 3 NODE 9 --> 14.4378395 sigma out 15 active outputs RANK 4 NODE 4 --> 13.4089336 sigma out 15 active outputs RANK 5 NODE 1 --> 13.2230072 sigma out 15 active outputs RANK 6 NODE 7 --> 12.9638462 sigma out 15 active outputs RANK 7 NODE 11 --> 10.7438192 sigma out 15 active outputs RANK 8 NODE 6 --> 10.4953022 sigma out 15 active outputs RANK 9 NODE 10 --> 9.76866913 sigma out 15 active outputs RANK 10 NODE 5 --> 9.6915493 sigma out 15 active outputs RANK 11 NODE 8 --> 7.53083467 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 27.1890717 sigma in 11act. ( 30.1038895 sig out 1act.) RANK 2 NODE 11 --> 20.3475876 sigma in 11act. ( 18.938633 sig out 1act.) RANK 3 NODE 12 --> 18.2050571 sigma in 11act. ( 16.9850693 sig out 1act.) RANK 4 NODE 6 --> 12.4402514 sigma in 11act. ( 6.92693996 sig out 1act.) RANK 5 NODE 14 --> 12.2164364 sigma in 11act. ( 10.9377661 sig out 1act.) RANK 6 NODE 13 --> 10.8848267 sigma in 11act. ( 3.81698966 sig out 1act.) RANK 7 NODE 9 --> 10.7608557 sigma in 11act. ( 9.09609795 sig out 1act.) RANK 8 NODE 10 --> 8.26313114 sigma in 11act. ( 2.78529739 sig out 1act.) RANK 9 NODE 2 --> 8.11875057 sigma in 11act. ( 5.5788331 sig out 1act.) RANK 10 NODE 5 --> 7.94553137 sigma in 11act. ( 5.57258749 sig out 1act.) RANK 11 NODE 8 --> 7.66129351 sigma in 11act. ( 2.10145497 sig out 1act.) RANK 12 NODE 4 --> 7.30615282 sigma in 11act. ( 2.00667381 sig out 1act.) RANK 13 NODE 1 --> 6.74080753 sigma in 11act. ( 4.32079697 sig out 1act.) RANK 14 NODE 7 --> 5.50514364 sigma in 11act. ( 1.19022202 sig out 1act.) RANK 15 NODE 15 --> 5.4957099 sigma in 11act. ( 2.97002125 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 30.1038895 sigma out 1act.( 27.1890717 sig in 11act.) RANK 2 NODE 11 --> 18.938633 sigma out 1act.( 20.3475876 sig in 11act.) RANK 3 NODE 12 --> 16.9850693 sigma out 1act.( 18.2050571 sig in 11act.) RANK 4 NODE 14 --> 10.9377661 sigma out 1act.( 12.2164364 sig in 11act.) RANK 5 NODE 9 --> 9.09609795 sigma out 1act.( 10.7608557 sig in 11act.) RANK 6 NODE 6 --> 6.92693996 sigma out 1act.( 12.4402514 sig in 11act.) RANK 7 NODE 2 --> 5.5788331 sigma out 1act.( 8.11875057 sig in 11act.) RANK 8 NODE 5 --> 5.57258749 sigma out 1act.( 7.94553137 sig in 11act.) RANK 9 NODE 1 --> 4.32079697 sigma out 1act.( 6.74080753 sig in 11act.) RANK 10 NODE 13 --> 3.81698966 sigma out 1act.( 10.8848267 sig in 11act.) RANK 11 NODE 15 --> 2.97002125 sigma out 1act.( 5.4957099 sig in 11act.) RANK 12 NODE 10 --> 2.78529739 sigma out 1act.( 8.26313114 sig in 11act.) RANK 13 NODE 8 --> 2.10145497 sigma out 1act.( 7.66129351 sig in 11act.) RANK 14 NODE 4 --> 2.00667381 sigma out 1act.( 7.30615282 sig in 11act.) RANK 15 NODE 7 --> 1.19022202 sigma out 1act.( 5.50514364 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.8818779 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.421773553 *** contribution from regularisation: 0.00437980145 *** contribution from error: -0.426153362 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.476783484 *** contribution from regularisation: 0.00176018209 *** contribution from error: -0.478543669 *********************************************** -----------------> Test sample ENTER BFGS code START -47294.9209 0.0792387128 0.329399616 EXIT FROM BFGS code FG_START 0. 0.0792387128 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.492616564 *** contribution from regularisation: 0.00194351596 *** contribution from error: -0.494560093 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -48855.2486 0.0792387128 107.068962 EXIT FROM BFGS code FG_LNSRCH 0. 0.0904653966 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.539096296 *** contribution from regularisation: 0.00291151856 *** contribution from error: -0.542007804 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53464.8745 0.0904653966 42.291317 EXIT FROM BFGS code NEW_X -53464.8745 0.0904653966 42.291317 ENTER BFGS code NEW_X -53464.8745 0.0904653966 42.291317 EXIT FROM BFGS code FG_LNSRCH 0. 0.0951364413 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.54147017 *** contribution from regularisation: 0.00294160517 *** contribution from error: -0.544411778 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53700.3056 0.0951364413 31.0918541 EXIT FROM BFGS code NEW_X -53700.3056 0.0951364413 31.0918541 ENTER BFGS code NEW_X -53700.3056 0.0951364413 31.0918541 EXIT FROM BFGS code FG_LNSRCH 0. 0.107118085 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.544245601 *** contribution from regularisation: 0.00293742167 *** contribution from error: -0.547183037 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53975.5594 0.107118085 6.09547806 EXIT FROM BFGS code NEW_X -53975.5594 0.107118085 6.09547806 ENTER BFGS code NEW_X -53975.5594 0.107118085 6.09547806 EXIT FROM BFGS code FG_LNSRCH 0. 0.113451041 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.545115829 *** contribution from regularisation: 0.0029004137 *** contribution from error: -0.54801625 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54061.8635 0.113451041 -13.8580408 EXIT FROM BFGS code NEW_X -54061.8635 0.113451041 -13.8580408 ENTER BFGS code NEW_X -54061.8635 0.113451041 -13.8580408 EXIT FROM BFGS code FG_LNSRCH 0. 0.112015598 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.545850456 *** contribution from regularisation: 0.002844495 *** contribution from error: -0.548694968 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54134.7209 0.112015598 -14.3192949 EXIT FROM BFGS code NEW_X -54134.7209 0.112015598 -14.3192949 ENTER BFGS code NEW_X -54134.7209 0.112015598 -14.3192949 EXIT FROM BFGS code FG_LNSRCH 0. 0.0930198058 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.547816575 *** contribution from regularisation: 0.00315700052 *** contribution from error: -0.550973594 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54329.7085 0.0930198058 6.11097383 EXIT FROM BFGS code NEW_X -54329.7085 0.0930198058 6.11097383 ENTER BFGS code NEW_X -54329.7085 0.0930198058 6.11097383 EXIT FROM BFGS code FG_LNSRCH 0. 0.0890974253 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 52.2473679 sigma out 15 active outputs RANK 2 NODE 1 --> 31.8872604 sigma out 15 active outputs RANK 3 NODE 7 --> 25.5072689 sigma out 15 active outputs RANK 4 NODE 9 --> 23.2920952 sigma out 15 active outputs RANK 5 NODE 10 --> 19.1727295 sigma out 15 active outputs RANK 6 NODE 4 --> 17.0074654 sigma out 15 active outputs RANK 7 NODE 8 --> 15.0633202 sigma out 15 active outputs RANK 8 NODE 5 --> 13.4184742 sigma out 15 active outputs RANK 9 NODE 11 --> 11.4192743 sigma out 15 active outputs RANK 10 NODE 6 --> 10.8181858 sigma out 15 active outputs RANK 11 NODE 3 --> 9.01912308 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 40.486702 sigma in 11act. ( 36.4068756 sig out 1act.) RANK 2 NODE 3 --> 33.0845871 sigma in 11act. ( 39.9356041 sig out 1act.) RANK 3 NODE 4 --> 33.0440369 sigma in 11act. ( 30.4234047 sig out 1act.) RANK 4 NODE 13 --> 26.4500599 sigma in 11act. ( 21.8254833 sig out 1act.) RANK 5 NODE 9 --> 21.9878407 sigma in 11act. ( 22.1346931 sig out 1act.) RANK 6 NODE 5 --> 17.4487247 sigma in 11act. ( 15.321825 sig out 1act.) RANK 7 NODE 14 --> 13.3203964 sigma in 11act. ( 12.3343201 sig out 1act.) RANK 8 NODE 11 --> 12.9482803 sigma in 11act. ( 9.43060493 sig out 1act.) RANK 9 NODE 15 --> 11.8771992 sigma in 11act. ( 10.6946287 sig out 1act.) RANK 10 NODE 7 --> 10.877367 sigma in 11act. ( 12.0712051 sig out 1act.) RANK 11 NODE 10 --> 10.8556633 sigma in 11act. ( 7.97884178 sig out 1act.) RANK 12 NODE 2 --> 10.525651 sigma in 11act. ( 10.6535368 sig out 1act.) RANK 13 NODE 12 --> 9.72352505 sigma in 11act. ( 8.11874199 sig out 1act.) RANK 14 NODE 1 --> 8.42978001 sigma in 11act. ( 7.76869965 sig out 1act.) RANK 15 NODE 8 --> 4.5157547 sigma in 11act. ( 1.12691653 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 39.9356041 sigma out 1act.( 33.0845871 sig in 11act.) RANK 2 NODE 6 --> 36.4068756 sigma out 1act.( 40.486702 sig in 11act.) RANK 3 NODE 4 --> 30.4234047 sigma out 1act.( 33.0440369 sig in 11act.) RANK 4 NODE 9 --> 22.1346931 sigma out 1act.( 21.9878407 sig in 11act.) RANK 5 NODE 13 --> 21.8254833 sigma out 1act.( 26.4500599 sig in 11act.) RANK 6 NODE 5 --> 15.321825 sigma out 1act.( 17.4487247 sig in 11act.) RANK 7 NODE 14 --> 12.3343201 sigma out 1act.( 13.3203964 sig in 11act.) RANK 8 NODE 7 --> 12.0712051 sigma out 1act.( 10.877367 sig in 11act.) RANK 9 NODE 15 --> 10.6946287 sigma out 1act.( 11.8771992 sig in 11act.) RANK 10 NODE 2 --> 10.6535368 sigma out 1act.( 10.525651 sig in 11act.) RANK 11 NODE 11 --> 9.43060493 sigma out 1act.( 12.9482803 sig in 11act.) RANK 12 NODE 12 --> 8.11874199 sigma out 1act.( 9.72352505 sig in 11act.) RANK 13 NODE 10 --> 7.97884178 sigma out 1act.( 10.8556633 sig in 11act.) RANK 14 NODE 1 --> 7.76869965 sigma out 1act.( 8.42978001 sig in 11act.) RANK 15 NODE 8 --> 1.12691653 sigma out 1act.( 4.5157547 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 76.5036545 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.548620403 *** contribution from regularisation: 0.00323726027 *** contribution from error: -0.55185765 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54409.4307 0.0890974253 -47.2285156 EXIT FROM BFGS code NEW_X -54409.4307 0.0890974253 -47.2285156 ENTER BFGS code NEW_X -54409.4307 0.0890974253 -47.2285156 EXIT FROM BFGS code FG_LNSRCH 0. 0.0831951723 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.549833715 *** contribution from regularisation: 0.00286888774 *** contribution from error: -0.552702606 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54529.7559 0.0831951723 -4.07900095 EXIT FROM BFGS code NEW_X -54529.7559 0.0831951723 -4.07900095 ENTER BFGS code NEW_X -54529.7559 0.0831951723 -4.07900095 EXIT FROM BFGS code FG_LNSRCH 0. 0.0801373273 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.550079823 *** contribution from regularisation: 0.00294719497 *** contribution from error: -0.553027034 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54554.1659 0.0801373273 7.42570925 EXIT FROM BFGS code NEW_X -54554.1659 0.0801373273 7.42570925 ENTER BFGS code NEW_X -54554.1659 0.0801373273 7.42570925 EXIT FROM BFGS code FG_LNSRCH 0. 0.0746823475 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.550577462 *** contribution from regularisation: 0.0030062662 *** contribution from error: -0.553583741 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54603.5204 0.0746823475 24.7545128 EXIT FROM BFGS code NEW_X -54603.5204 0.0746823475 24.7545128 ENTER BFGS code NEW_X -54603.5204 0.0746823475 24.7545128 EXIT FROM BFGS code FG_LNSRCH 0. 0.0752028972 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.551323235 *** contribution from regularisation: 0.00307610421 *** contribution from error: -0.554399312 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54677.484 0.0752028972 39.7280426 EXIT FROM BFGS code NEW_X -54677.484 0.0752028972 39.7280426 ENTER BFGS code NEW_X -54677.484 0.0752028972 39.7280426 EXIT FROM BFGS code FG_LNSRCH 0. 0.0988896042 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.552317023 *** contribution from regularisation: 0.00334671722 *** contribution from error: -0.555663764 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54776.0425 0.0988896042 57.6106224 EXIT FROM BFGS code NEW_X -54776.0425 0.0988896042 57.6106224 ENTER BFGS code NEW_X -54776.0425 0.0988896042 57.6106224 EXIT FROM BFGS code FG_LNSRCH 0. 0.127494246 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.553155839 *** contribution from regularisation: 0.00308466027 *** contribution from error: -0.556240499 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54859.2275 0.127494246 3.68468785 EXIT FROM BFGS code NEW_X -54859.2275 0.127494246 3.68468785 ENTER BFGS code NEW_X -54859.2275 0.127494246 3.68468785 EXIT FROM BFGS code FG_LNSRCH 0. 0.125564098 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.554049969 *** contribution from regularisation: 0.00277391006 *** contribution from error: -0.55682385 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54947.9061 0.125564098 10.3271027 EXIT FROM BFGS code NEW_X -54947.9061 0.125564098 10.3271027 ENTER BFGS code NEW_X -54947.9061 0.125564098 10.3271027 EXIT FROM BFGS code FG_LNSRCH 0. 0.131711259 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.553913951 *** contribution from regularisation: 0.00303253485 *** contribution from error: -0.556946456 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54934.4165 0.131711259 0.885084867 EXIT FROM BFGS code FG_LNSRCH 0. 0.126101449 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.553885102 *** contribution from regularisation: 0.00295195472 *** contribution from error: -0.556837082 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54931.5547 0.126101449 9.70137691 EXIT FROM BFGS code FG_LNSRCH 0. 0.125569105 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 57.3641815 sigma out 15 active outputs RANK 2 NODE 7 --> 37.5420914 sigma out 15 active outputs RANK 3 NODE 4 --> 33.6718864 sigma out 15 active outputs RANK 4 NODE 1 --> 33.3129616 sigma out 15 active outputs RANK 5 NODE 8 --> 26.8388844 sigma out 15 active outputs RANK 6 NODE 9 --> 22.742506 sigma out 15 active outputs RANK 7 NODE 5 --> 20.1915836 sigma out 15 active outputs RANK 8 NODE 10 --> 19.5826015 sigma out 15 active outputs RANK 9 NODE 3 --> 16.4768677 sigma out 15 active outputs RANK 10 NODE 11 --> 13.9721918 sigma out 15 active outputs RANK 11 NODE 6 --> 11.2826824 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 55.7980118 sigma in 11act. ( 50.2405281 sig out 1act.) RANK 2 NODE 3 --> 39.5848961 sigma in 11act. ( 48.2618256 sig out 1act.) RANK 3 NODE 4 --> 39.0881195 sigma in 11act. ( 36.5802917 sig out 1act.) RANK 4 NODE 9 --> 34.2088356 sigma in 11act. ( 33.9551468 sig out 1act.) RANK 5 NODE 2 --> 23.9201241 sigma in 11act. ( 22.0134449 sig out 1act.) RANK 6 NODE 13 --> 21.3704567 sigma in 11act. ( 17.6852341 sig out 1act.) RANK 7 NODE 7 --> 19.4197807 sigma in 11act. ( 21.4393044 sig out 1act.) RANK 8 NODE 14 --> 13.5147352 sigma in 11act. ( 14.5642815 sig out 1act.) RANK 9 NODE 5 --> 12.8430767 sigma in 11act. ( 9.98663235 sig out 1act.) RANK 10 NODE 1 --> 11.7578659 sigma in 11act. ( 11.0090551 sig out 1act.) RANK 11 NODE 15 --> 10.2891779 sigma in 11act. ( 9.94967079 sig out 1act.) RANK 12 NODE 12 --> 8.36172676 sigma in 11act. ( 6.85912704 sig out 1act.) RANK 13 NODE 11 --> 7.31368351 sigma in 11act. ( 3.12405586 sig out 1act.) RANK 14 NODE 10 --> 6.90956831 sigma in 11act. ( 3.65973353 sig out 1act.) RANK 15 NODE 8 --> 4.35648918 sigma in 11act. ( 3.05963874 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 50.2405281 sigma out 1act.( 55.7980118 sig in 11act.) RANK 2 NODE 3 --> 48.2618256 sigma out 1act.( 39.5848961 sig in 11act.) RANK 3 NODE 4 --> 36.5802917 sigma out 1act.( 39.0881195 sig in 11act.) RANK 4 NODE 9 --> 33.9551468 sigma out 1act.( 34.2088356 sig in 11act.) RANK 5 NODE 2 --> 22.0134449 sigma out 1act.( 23.9201241 sig in 11act.) RANK 6 NODE 7 --> 21.4393044 sigma out 1act.( 19.4197807 sig in 11act.) RANK 7 NODE 13 --> 17.6852341 sigma out 1act.( 21.3704567 sig in 11act.) RANK 8 NODE 14 --> 14.5642815 sigma out 1act.( 13.5147352 sig in 11act.) RANK 9 NODE 1 --> 11.0090551 sigma out 1act.( 11.7578659 sig in 11act.) RANK 10 NODE 5 --> 9.98663235 sigma out 1act.( 12.8430767 sig in 11act.) RANK 11 NODE 15 --> 9.94967079 sigma out 1act.( 10.2891779 sig in 11act.) RANK 12 NODE 12 --> 6.85912704 sigma out 1act.( 8.36172676 sig in 11act.) RANK 13 NODE 10 --> 3.65973353 sigma out 1act.( 6.90956831 sig in 11act.) RANK 14 NODE 11 --> 3.12405586 sigma out 1act.( 7.31368351 sig in 11act.) RANK 15 NODE 8 --> 3.05963874 sigma out 1act.( 4.35648918 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 95.9843445 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.553851485 *** contribution from regularisation: 0.00297254347 *** contribution from error: -0.556824028 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54928.2197 0.125569105 10.5400219 EXIT FROM BFGS code FG_LNSRCH 0. 0.125564098 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.553839743 *** contribution from regularisation: 0.00298413076 *** contribution from error: -0.55682385 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54927.0575 0.125564098 10.5969553 EXIT FROM BFGS code FG_LNSRCH 0. 0.125564098 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.553849757 *** contribution from regularisation: 0.00297410064 *** contribution from error: -0.55682385 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54928.0522 0.125564098 10.6475153 EXIT FROM BFGS code FG_LNSRCH 0. 0.125564098 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.553853333 *** contribution from regularisation: 0.00297057186 *** contribution from error: -0.556823909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54928.4022 0.125564098 10.6797104 EXIT FROM BFGS code FG_LNSRCH 0. 0.125564098 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.55384016 *** contribution from regularisation: 0.00298370561 *** contribution from error: -0.55682385 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54927.0997 0.125564098 10.7215929 EXIT FROM BFGS code NEW_X -54927.0997 0.125564098 10.7215929 ENTER BFGS code NEW_X -54927.0997 0.125564098 10.7215929 EXIT FROM BFGS code CONVERGENC -54927.0997 0.125564098 10.7215929 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 82.0015488 sigma out 15 active outputs RANK 2 NODE 7 --> 54.4115372 sigma out 15 active outputs RANK 3 NODE 4 --> 48.6449623 sigma out 15 active outputs RANK 4 NODE 1 --> 48.2695923 sigma out 15 active outputs RANK 5 NODE 8 --> 38.7573853 sigma out 15 active outputs RANK 6 NODE 9 --> 33.3747368 sigma out 15 active outputs RANK 7 NODE 5 --> 29.2467422 sigma out 15 active outputs RANK 8 NODE 10 --> 28.3579464 sigma out 15 active outputs RANK 9 NODE 3 --> 24.3008156 sigma out 15 active outputs RANK 10 NODE 11 --> 20.1785336 sigma out 15 active outputs RANK 11 NODE 6 --> 16.5491447 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 81.6095352 sigma in 11act. ( 73.3574448 sig out 1act.) RANK 2 NODE 3 --> 56.9568825 sigma in 11act. ( 70.9092026 sig out 1act.) RANK 3 NODE 4 --> 56.5576134 sigma in 11act. ( 53.0319939 sig out 1act.) RANK 4 NODE 9 --> 49.5281067 sigma in 11act. ( 49.923687 sig out 1act.) RANK 5 NODE 2 --> 34.4343414 sigma in 11act. ( 32.6320457 sig out 1act.) RANK 6 NODE 13 --> 30.443428 sigma in 11act. ( 26.0399551 sig out 1act.) RANK 7 NODE 7 --> 28.2462425 sigma in 11act. ( 31.6567917 sig out 1act.) RANK 8 NODE 14 --> 19.2420559 sigma in 11act. ( 21.4278774 sig out 1act.) RANK 9 NODE 5 --> 17.7574863 sigma in 11act. ( 14.4040022 sig out 1act.) RANK 10 NODE 1 --> 16.7586479 sigma in 11act. ( 16.2076283 sig out 1act.) RANK 11 NODE 15 --> 14.4393787 sigma in 11act. ( 14.4310017 sig out 1act.) RANK 12 NODE 12 --> 10.7857027 sigma in 11act. ( 9.96628857 sig out 1act.) RANK 13 NODE 11 --> 8.37234592 sigma in 11act. ( 4.64490271 sig out 1act.) RANK 14 NODE 10 --> 8.37211704 sigma in 11act. ( 5.38550091 sig out 1act.) RANK 15 NODE 8 --> 5.51863241 sigma in 11act. ( 4.41008997 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 73.3574448 sigma out 1act.( 81.6095352 sig in 11act.) RANK 2 NODE 3 --> 70.9092026 sigma out 1act.( 56.9568825 sig in 11act.) RANK 3 NODE 4 --> 53.0319939 sigma out 1act.( 56.5576134 sig in 11act.) RANK 4 NODE 9 --> 49.923687 sigma out 1act.( 49.5281067 sig in 11act.) RANK 5 NODE 2 --> 32.6320457 sigma out 1act.( 34.4343414 sig in 11act.) RANK 6 NODE 7 --> 31.6567917 sigma out 1act.( 28.2462425 sig in 11act.) RANK 7 NODE 13 --> 26.0399551 sigma out 1act.( 30.443428 sig in 11act.) RANK 8 NODE 14 --> 21.4278774 sigma out 1act.( 19.2420559 sig in 11act.) RANK 9 NODE 1 --> 16.2076283 sigma out 1act.( 16.7586479 sig in 11act.) RANK 10 NODE 15 --> 14.4310017 sigma out 1act.( 14.4393787 sig in 11act.) RANK 11 NODE 5 --> 14.4040022 sigma out 1act.( 17.7574863 sig in 11act.) RANK 12 NODE 12 --> 9.96628857 sigma out 1act.( 10.7857027 sig in 11act.) RANK 13 NODE 10 --> 5.38550091 sigma out 1act.( 8.37211704 sig in 11act.) RANK 14 NODE 11 --> 4.64490271 sigma out 1act.( 8.37234592 sig in 11act.) RANK 15 NODE 8 --> 4.41008997 sigma out 1act.( 5.51863241 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 140.592331 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.553844213 *** contribution from regularisation: 0.00297967787 *** contribution from error: -0.556823909 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 27567 Closing output file done