NNInput NNInputs_180.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= 177984 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 = 40552 nbkg = 137432 Bkg Entries: 137432 Sig Entries: 40552 Chosen entries: 40552 Signal fraction: 1 Background fraction: 0.29507 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 137432 Actual Signal Entries: 40552 Entries to split: 40552 Test with : 20276 Train with : 20276 ********************************************* * 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= 40552 for Signal Prepared event 0 for Signal with 40552 events ====Entry 0 Variable Ht : 238.939 Variable LepAPt : 61.5371 Variable LepBPt : 55.1916 Variable MetSigLeptonsJets : 2.02446 Variable MetSpec : 29.3112 Variable SumEtLeptonsJets : 209.628 Variable VSumJetLeptonsPt : 45.1399 Variable addEt : 146.04 Variable dPhiLepSumMet : 1.77561 Variable dPhiLeptons : 0.187258 Variable dRLeptons : 0.187258 Variable lep1_E : 62.4858 Variable lep2_E : 56.0434 ===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 = 2180 Ht = 238.939 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 61.5373 LepAPt = 61.5371 LepBEt = 55.1918 LepBPt = 55.1916 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 29.3112 MetDelPhi = 1.67688 MetSig = 1.87318 MetSigLeptonsJets = 2.02446 MetSpec = 29.3112 Mjj = 0 MostCentralJetEta = -1.401 MtllMet = 146.401 Njets = 1 SB = 0 SumEt = 244.856 SumEtJets = 0 SumEtLeptonsJets = 209.628 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 45.1399 addEt = 146.04 dPhiLepSumMet = 1.77561 dPhiLeptons = 0.187258 dRLeptons = 0.187258 diltype = 17 dimass = 10.9007 event = 67 jet1_Et = 92.8988 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 62.4858 lep2_E = 56.0434 rand = 0.999742 run = 167138 weight = 2.79813e-06 ===Show End Prepared event 10000 for Signal with 40552 events Prepared event 20000 for Signal with 40552 events Prepared event 30000 for Signal with 40552 events Prepared event 40000 for Signal with 40552 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= 137432 for Background Prepared event 0 for Background with 137432 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 = 0.28811 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 137432 events Prepared event 20000 for Background with 137432 events Prepared event 30000 for Background with 137432 events Prepared event 40000 for Background with 137432 events Prepared event 50000 for Background with 137432 events Prepared event 60000 for Background with 137432 events Prepared event 70000 for Background with 137432 events Prepared event 80000 for Background with 137432 events Prepared event 90000 for Background with 137432 events Prepared event 100000 for Background with 137432 events Prepared event 110000 for Background with 137432 events Prepared event 120000 for Background with 137432 events Prepared event 130000 for Background with 137432 events Warning: found 4411 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 177984 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 4411 negative weights. Signal fraction: 62.8054123 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 60.0019798 63.5913391 65.8531036 67.2828369 68.5179138 69.8620834 70.7319794 71.5200424 72.4278793 73.3817444 74.1762695 74.8967056 75.5996552 76.32164 76.9866104 77.6521454 78.4672089 79.1983795 79.8131714 80.6370773 81.3004532 82.109726 82.7363586 83.7217255 84.7178879 85.7569275 86.7813873 88.2014771 89.2851257 90.668335 92.1271362 93.3527374 94.7869873 96.3231506 98.0344238 99.6627502 101.541077 103.164963 104.859039 106.337479 108.176453 109.761925 111.69635 113.515228 115.471405 117.386581 119.292603 121.248131 122.95295 124.64183 126.459396 128.190704 129.715942 131.423981 133.072144 134.477234 136.043335 137.577026 139.029816 140.483246 142.043213 143.484085 145.067047 146.759949 148.342163 149.871429 151.40181 153.029236 154.601013 156.217957 157.738144 159.449799 161.137924 163.091614 164.861359 166.8125 168.849533 170.846085 173.096497 175.135544 177.32489 179.732452 182.279694 185.348999 188.381378 191.721252 195.174103 198.575394 202.332947 206.523895 210.823273 216.269684 222.137161 228.511246 235.491699 244.546661 255.047958 271.552032 294.144653 334.420319 879.892334 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.3784561 20.7847099 21.1194134 21.4172478 21.6705265 21.9480114 22.1754017 22.4278584 22.6568699 22.8329906 23.054245 23.2724075 23.5293617 23.7649689 24.0205021 24.2813988 24.5299606 24.7549629 24.9786644 25.173214 25.334013 25.5666752 25.76577 26.0014744 26.248024 26.4987373 26.7519684 27.0152798 27.2346306 27.5034332 27.7313614 27.9777985 28.2236748 28.4968014 28.7991791 29.0582962 29.337965 29.6259403 29.8689117 30.1927795 30.5298843 30.8219376 31.1659317 31.4237022 31.6822929 31.9150963 32.1929169 32.5148468 32.8862419 33.2394638 33.6171799 33.9980164 34.3927383 34.7708893 35.1504211 35.4971771 35.8685379 36.2948837 36.6720734 37.080162 37.5057297 37.9135742 38.2753448 38.709034 39.2029648 39.6148224 40.048317 40.461647 40.9212151 41.4245911 41.8710327 42.3727112 42.8452454 43.366909 43.8539352 44.3263245 44.9426804 45.5901031 46.2068481 46.8245163 47.5060921 48.1175003 48.8237572 49.6274872 50.3320389 51.1703796 52.0551529 53.0018921 53.9849396 55.0347824 56.1156845 57.3488922 58.8766861 60.3058319 62.1242523 64.3168259 67.3081436 72.01651 80.4716949 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1266174 10.2964888 10.413187 10.5030098 10.6148167 10.7564259 10.8832836 11.0059824 11.1473217 11.3116093 11.4813251 11.610054 11.7639799 11.9193325 12.0989552 12.2566223 12.4278088 12.5782824 12.7710781 12.9214935 13.1293144 13.3372536 13.4960356 13.6863184 13.8280344 13.9760962 14.1529322 14.356905 14.5468092 14.7788906 15.0090446 15.2162867 15.4073849 15.6405849 15.8567991 16.0238132 16.288105 16.5280533 16.7585049 16.9772015 17.2592812 17.5238419 17.8151264 18.0564346 18.3599052 18.6704178 18.9435978 19.2277393 19.5180779 19.8050423 20.0950298 20.2990723 20.5626831 20.8366814 21.0788517 21.3420506 21.6057415 21.8392448 22.100071 22.3565731 22.6249275 22.8631516 23.1211071 23.3897018 23.6462765 23.9207306 24.1792908 24.4692745 24.7663918 25.0520821 25.3407173 25.6188736 25.9091835 26.1733799 26.4342651 26.7341022 27.0510178 27.3694592 27.6668243 27.9999084 28.346756 28.6957779 29.0675259 29.4505367 29.8305473 30.2504063 30.6871948 31.1485062 31.6925392 32.1930466 32.7932892 33.4709167 34.178009 35.0016022 35.9232407 37.1129417 38.7807426 41.2027054 45.940155 116.983894 ------------------------------ Transdef: Tab for variable 5 1.06155312 2.67691445 3.12670875 3.43887568 3.71780491 3.95478868 4.12135029 4.24090958 4.37696552 4.50884724 4.61421108 4.70115185 4.79498672 4.88518906 4.95714664 5.04372835 5.12884998 5.19267368 5.26121616 5.33101273 5.37958908 5.45007706 5.49720097 5.55023909 5.59652328 5.65071011 5.70132971 5.74964428 5.80759239 5.85360003 5.9074564 5.95562506 6.00544119 6.04824924 6.10070848 6.14282036 6.18940926 6.23848724 6.27831936 6.31766319 6.36992455 6.42266941 6.47212124 6.5136776 6.56163025 6.60852909 6.65246201 6.70268297 6.75121689 6.79612923 6.8487606 6.88135338 6.93476868 6.99014759 7.04236317 7.08982372 7.14570141 7.19541931 7.24593687 7.29839945 7.3582716 7.40868759 7.46728039 7.52753639 7.57931232 7.637743 7.69336987 7.75761461 7.81482792 7.87321138 7.93421936 7.9990921 8.06002235 8.11368752 8.17607498 8.2393465 8.29985809 8.36671829 8.42757893 8.49344254 8.5645771 8.63403702 8.71530533 8.7772274 8.84903526 8.934021 9.01383114 9.10744858 9.20687675 9.30546188 9.40448284 9.50730038 9.63334084 9.77405357 9.94007492 10.1347542 10.3631172 10.65172 11.1531982 11.9075432 17.5554657 ------------------------------ Transdef: Tab for variable 6 15.0093117 21.3753967 25.4740601 26.5358009 27.4932384 28.5428734 29.4189091 30.2658234 30.9755554 31.6385841 32.2096024 32.7247086 33.2900162 33.7225647 34.3183594 34.7379951 35.0707092 35.539093 35.9922447 36.374054 36.7326241 37.164978 37.5730553 37.9650154 38.4295959 38.8419762 39.2823563 39.6858597 40.1049347 40.5147591 40.9443092 41.343502 41.8285255 42.3653183 42.8382645 43.3061981 43.7452278 44.1690674 44.6515198 45.2760506 45.7943077 46.4329796 47.064476 47.5937042 48.2247696 48.9187851 49.6018715 50.2516403 50.9656296 51.7546997 52.5413475 53.3930397 54.1710358 55.0110321 55.7878799 56.5626984 57.2698212 57.9928932 58.8108215 59.6315117 60.4747772 61.2353058 61.9836273 62.8587723 63.6587372 64.4870453 65.2708435 66.0524139 66.8751221 67.7212677 68.4518433 69.1992188 70.0368729 70.8492279 71.7612228 72.5395203 73.3183517 74.2076721 75.1041031 75.9518356 76.9143295 77.8401871 78.8673706 79.80896 80.7637024 81.9419479 83.1915588 84.3550797 85.6582336 87.0039215 88.6393433 90.5835953 92.3527527 94.6365356 97.3017273 100.762024 104.683105 109.88974 117.69252 131.447144 311.985382 ------------------------------ Transdef: Tab for variable 7 30.1877575 32.6796036 33.7815361 34.4717255 35.0970726 35.5511322 36.0426674 36.5130615 36.9390411 37.3605576 37.7599716 38.0933952 38.4484711 38.7726898 39.0799789 39.3762741 39.6906586 40.0185013 40.3396835 40.678463 41.0608215 41.4962502 41.9663391 42.3841782 42.8418846 43.3452682 43.9823837 44.6451569 45.2586212 45.9436378 46.8661194 47.7625389 48.7408829 49.5239334 50.622776 51.6876907 52.8147507 53.8799477 54.969593 56.0114517 57.0089569 58.055809 58.9902725 60.0191116 60.9715118 61.9207077 62.8145218 63.6851234 64.5898972 65.4516983 66.3963242 67.2788696 68.1405334 69.0656433 70.0463028 70.8617706 71.6736908 72.5739899 73.3823242 74.280983 75.1727066 76.1697845 77.0325623 77.9518738 79.0255432 80.0476913 81.1582794 82.3312378 83.4898911 84.7061005 86.0813904 87.5174255 89.029007 90.6160431 92.1977386 93.7710876 95.4364777 97.1044159 98.913208 100.803467 102.747856 104.722717 106.902809 109.075516 111.67083 114.225693 116.788925 119.872459 122.951447 126.298096 129.995697 133.957153 138.845276 144.693756 150.854919 158.87561 169.052612 181.632202 198.919067 230.175873 662.124573 ------------------------------ Transdef: Tab for variable 8 2.55010867 26.2054272 29.6006775 31.3440514 32.3677673 32.9899902 33.6397171 34.1053772 34.5133018 34.9688492 35.381485 35.7989616 36.1246338 36.5163269 36.8427544 37.1495819 37.4635353 37.7626228 38.0318451 38.2785187 38.5760803 38.837204 39.0890198 39.3799515 39.6410294 39.9747124 40.3622665 40.7135468 41.057251 41.3775711 41.8624115 42.2485542 42.6498489 43.0876389 43.5714912 44.0439377 44.5565796 45.0789528 45.6227646 46.2827759 46.9359894 47.6966705 48.2985382 48.9209442 49.5271606 50.3545876 51.1115074 51.8047791 52.5667419 53.2773209 54.0145988 54.7811966 55.4960327 56.2223892 57.0433731 57.7699509 58.522728 59.2716103 60.0288734 60.7691727 61.4654922 62.2422256 62.9072571 63.5921707 64.3168945 64.9886627 65.6409149 66.4153366 67.1595612 67.8250427 68.5683136 69.280571 69.9868317 70.7206116 71.5008392 72.2169495 72.9281387 73.6336517 74.4237061 75.179718 75.9131775 76.75737 77.6967926 78.6089935 79.5868988 80.7106476 81.7650604 82.9104614 84.0897522 85.5900269 87.1917877 88.9120636 90.9093475 93.2671356 95.9613953 99.5031433 104.01757 108.937134 117.04895 134.10173 363.290375 ------------------------------ Transdef: Tab for variable 9 49.4992676 63.0990715 65.1764984 66.7478943 67.8629532 69.137291 70.0340576 70.8812256 71.5673523 72.4295807 73.2773132 73.9988403 74.6421967 75.2438126 75.8950195 76.554184 77.047699 77.6740112 78.3563843 78.9349823 79.5882111 80.1256714 80.8532562 81.3968506 82.1072083 82.693634 83.5198669 84.2621841 85.0543518 85.9942932 86.8451996 87.9249725 88.9032898 89.6709442 90.9957352 92.1560211 93.1028061 94.4336929 95.595459 96.9399109 98.4000702 99.8123779 101.287277 102.636978 104.185196 105.624275 107.01606 108.500488 109.85968 111.495026 112.862823 114.477463 115.769089 117.305115 118.840866 120.309509 121.636871 122.950783 124.267746 125.626419 126.968307 128.311035 129.644592 130.914124 132.132919 133.316437 134.52916 135.78891 137.05246 138.322174 139.586578 140.694809 141.97049 143.12001 144.190002 145.307312 146.59317 147.916168 149.036804 150.221191 151.456406 152.706894 153.889343 155.169022 156.407654 157.789017 159.101242 160.683258 162.296844 163.97998 165.756042 167.706635 169.730255 172.065918 174.477585 177.36705 181.32901 186.627045 195.19957 215.775452 492.177948 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.10837543 1.42176712 1.64154828 1.7863307 1.90915966 2.00746107 2.09019756 2.15887475 2.22436762 2.27871633 2.32917881 2.37658405 2.4169631 2.45411444 2.49035525 2.51936102 2.54550076 2.56967092 2.59525728 2.62209487 2.64575243 2.66768265 2.6908679 2.71194386 2.72843647 2.74820662 2.76429844 2.77813816 2.79366684 2.80791378 2.82198095 2.8343358 2.84473324 2.85456371 2.86719894 2.87687492 2.88589931 2.89464045 2.90285039 2.91289806 2.91929579 2.92776036 2.93483543 2.9427619 2.94940233 2.95629549 2.96286678 2.96818256 2.97425842 2.97971344 2.98457003 2.98922825 2.99430394 2.99995756 3.00414801 3.00924444 3.01392555 3.01806808 3.02246761 3.02655602 3.03013611 3.03415346 3.03723812 3.04097152 3.04397678 3.04767036 3.05191159 3.05599403 3.05904484 3.06258583 3.06593418 3.06865454 3.07193255 3.07483482 3.07800722 3.08117533 3.08399677 3.08695459 3.08995581 3.09292555 3.09597492 3.09873915 3.10145521 3.10412169 3.10668421 3.10904312 3.11152053 3.1138258 3.11602283 3.11861277 3.12102318 3.12333298 3.12583542 3.12807751 3.13015032 3.13249564 3.13442421 3.1365819 3.13905525 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.0054614488 0.011272463 0.0174691658 0.0246221423 0.0304804966 0.0374727249 0.0455743074 0.052377224 0.0586805344 0.0659655929 0.0720794797 0.0790457726 0.0855460167 0.0925406218 0.0982992575 0.105094388 0.112182379 0.118734494 0.12514329 0.131402194 0.138282299 0.144923687 0.151098967 0.157232761 0.162713394 0.168126673 0.174752563 0.179651767 0.185331225 0.19113341 0.196926564 0.202417374 0.207438111 0.212831438 0.218557119 0.223365784 0.228886127 0.233508378 0.238789454 0.244516611 0.250111699 0.255735785 0.260917544 0.265876621 0.270937383 0.276086926 0.281353652 0.28698802 0.292094469 0.297600508 0.30272305 0.308782578 0.314315379 0.319807768 0.325197041 0.330671251 0.336319208 0.342096329 0.347480655 0.352925539 0.358319759 0.363359421 0.368454307 0.375149131 0.380522013 0.386789203 0.391736031 0.397636116 0.40443325 0.411141336 0.416713357 0.423768044 0.430014074 0.436967909 0.444515586 0.452447683 0.459462404 0.466274023 0.473917007 0.481305182 0.490709424 0.499766707 0.510118365 0.519093812 0.528309941 0.541175365 0.550664902 0.56276381 0.575721264 0.587707758 0.602122486 0.618896782 0.63465935 0.655492902 0.676808715 0.70406872 0.735518217 0.781695724 0.854615927 1.1246134 ------------------------------ Transdef: Tab for variable 12 0.100484379 0.166046426 0.185870677 0.199727058 0.21209234 0.223209381 0.232623607 0.241023928 0.248702571 0.256002486 0.263103157 0.270053387 0.277406514 0.283816725 0.290409565 0.296856225 0.303457439 0.309715688 0.31543979 0.321075201 0.326689899 0.332002342 0.337989956 0.343347609 0.347894639 0.352642715 0.358073831 0.363013804 0.368667692 0.373875976 0.378633112 0.383924961 0.388609678 0.393296361 0.398169577 0.401927263 0.405955076 0.409645289 0.413482964 0.417311639 0.420582712 0.424524605 0.428513467 0.432302535 0.436392903 0.439999729 0.444317102 0.44788748 0.452104688 0.456114531 0.459830582 0.463616192 0.467944741 0.472219944 0.476171881 0.480823934 0.485038877 0.489947021 0.494481206 0.498993635 0.503056526 0.507944822 0.512206733 0.516750693 0.521978199 0.52791208 0.533483744 0.539260447 0.544809461 0.551763654 0.556870043 0.561071277 0.56762743 0.574609756 0.58051151 0.587538242 0.594035506 0.601001501 0.608181477 0.615418077 0.623725295 0.632296264 0.639614105 0.64899838 0.659270287 0.667414248 0.677730441 0.685302615 0.697193861 0.706971824 0.719273329 0.728315949 0.740990043 0.753996193 0.770547032 0.791940093 0.810005486 0.8360852 0.870650411 0.913228631 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.7924919 22.5978127 23.3814964 23.9877625 24.6285057 25.1041107 25.4814816 25.9974823 26.4327755 26.893074 27.2909966 27.6893692 28.1578808 28.5671272 28.9781189 29.4154091 29.7259827 30.1738396 30.5406437 30.875473 31.2369118 31.600729 31.9663887 32.3101349 32.6110382 33.0511971 33.448719 33.8543625 34.3193436 34.6228104 34.9854622 35.3337784 35.6886673 36.0876656 36.4028091 36.8442497 37.2742767 37.6869392 38.1107521 38.5541306 39.0047569 39.4506187 39.8404388 40.298027 40.7744713 41.2288208 41.6827698 42.187912 42.6091614 43.0041351 43.3756027 43.8759689 44.3603516 44.8531837 45.330574 45.8422623 46.3271255 46.7499695 47.2325439 47.7333527 48.2430344 48.7401733 49.2785339 49.7912979 50.3536301 50.9974747 51.5033951 52.0675354 52.640007 53.3172684 54.0029678 54.6524582 55.2530441 56.0018463 56.7047348 57.4742126 58.1915665 58.9220734 59.7658005 60.464817 61.2583237 62.1179008 63.0754547 64.0718536 65.0324173 66.1273956 67.3819656 68.7795868 70.1485748 71.7243423 73.4589386 75.6452637 77.839119 80.3607788 83.4413605 86.8295898 90.8713989 97.0469971 109.296539 394.478912 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7240353 11.1683197 11.578476 11.9764519 12.3121367 12.6742992 13.047698 13.4171591 13.6700592 13.9787788 14.3284245 14.6183434 14.9222031 15.2475691 15.5512352 15.8498583 16.1920795 16.4600639 16.7449341 16.9717922 17.3008633 17.6497383 17.9241791 18.2278671 18.5189247 18.7928963 19.0983734 19.3763599 19.7145844 20.0370064 20.3349686 20.5891304 20.914402 21.2191429 21.5300941 21.8108025 22.0552788 22.337326 22.5844917 22.9098854 23.2128944 23.4877625 23.7408676 24.012867 24.3014145 24.5753632 24.892931 25.1557827 25.4172096 25.6452274 25.9152622 26.16222 26.4237213 26.6834564 26.9790802 27.2560349 27.5139999 27.7911701 28.0942879 28.3864212 28.6667404 28.9709473 29.2663708 29.5584068 29.866457 30.1523781 30.4498482 30.7427959 31.0483475 31.3872795 31.6652832 32.0306473 32.4035873 32.7270432 33.1338234 33.5476837 33.9602356 34.3444901 34.7737236 35.2259903 35.7553101 36.257164 36.7825584 37.2939529 37.9404297 38.6019897 39.3349152 40.0417366 40.861515 41.7198639 42.6659088 43.8134232 44.8456039 46.2148361 47.8940125 49.8692741 52.6392441 56.5946274 63.7666092 157.525284 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 67.2 53.2 55.7 31.0 50.5 65.0 57.5 65.6 -26.0 -23.7 -44.9 23.4 30.0 2 67.2 100.0 70.7 62.3 37.5 69.9 94.6 77.1 92.4 -43.2 -30.0 -56.0 40.1 36.5 3 53.2 70.7 100.0 50.5 16.6 41.3 72.6 60.2 77.3 -14.7 -32.7 -62.6 68.5 29.1 4 55.7 62.3 50.5 100.0 16.1 37.9 63.8 53.0 66.6 -13.9 -35.1 -66.9 27.4 73.2 5 31.0 37.5 16.6 16.1 100.0 84.4 10.7 59.2 57.9 24.0 -9.1 -14.3 2.3 4.4 6 50.5 69.9 41.3 37.9 84.4 100.0 49.8 80.2 80.2 -6.4 -18.9 -33.7 18.4 18.9 7 65.0 94.6 72.6 63.8 10.7 49.8 100.0 69.0 81.5 -51.8 -29.6 -56.8 43.5 39.0 8 57.5 77.1 60.2 53.0 59.2 80.2 69.0 100.0 84.8 -10.5 -28.6 -49.2 34.1 31.2 9 65.6 92.4 77.3 66.6 57.9 80.2 81.5 84.8 100.0 -19.5 -33.0 -61.7 45.5 40.0 10 -26.0 -43.2 -14.7 -13.9 24.0 -6.4 -51.8 -10.5 -19.5 100.0 4.6 9.8 -6.2 -7.1 11 -23.7 -30.0 -32.7 -35.1 -9.1 -18.9 -29.6 -28.6 -33.0 4.6 100.0 56.8 -17.8 -23.7 12 -44.9 -56.0 -62.6 -66.9 -14.3 -33.7 -56.8 -49.2 -61.7 9.8 56.8 100.0 -36.3 -42.1 13 23.4 40.1 68.5 27.4 2.3 18.4 43.5 34.1 45.5 -6.2 -17.8 -36.3 100.0 49.2 14 30.0 36.5 29.1 73.2 4.4 18.9 39.0 31.2 40.0 -7.1 -23.7 -42.1 49.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 174.595301 TOTAL CORRELATION OF ALL VARIABLES 73.1003879 ROUND 1: MAX CORR ( 73.1003849) AFTER KILLING INPUT VARIABLE 11 CONTR 0.0207873443 ROUND 2: MAX CORR ( 73.0988854) AFTER KILLING INPUT VARIABLE 8 CONTR 0.468220905 ROUND 3: MAX CORR ( 73.0946463) AFTER KILLING INPUT VARIABLE 6 CONTR 0.787228707 ROUND 4: MAX CORR ( 73.0852782) AFTER KILLING INPUT VARIABLE 2 CONTR 1.17022413 ROUND 5: MAX CORR ( 73.0655524) AFTER KILLING INPUT VARIABLE 14 CONTR 1.69792295 ROUND 6: MAX CORR ( 73.0366348) AFTER KILLING INPUT VARIABLE 12 CONTR 2.05546 ROUND 7: MAX CORR ( 72.8090863) AFTER KILLING INPUT VARIABLE 10 CONTR 5.76081422 ROUND 8: MAX CORR ( 72.2622173) AFTER KILLING INPUT VARIABLE 13 CONTR 8.90702002 ROUND 9: MAX CORR ( 71.2959441) AFTER KILLING INPUT VARIABLE 3 CONTR 11.7777926 ROUND 10: MAX CORR ( 71.1096396) AFTER KILLING INPUT VARIABLE 9 CONTR 5.15080532 ROUND 11: MAX CORR ( 69.3417738) AFTER KILLING INPUT VARIABLE 4 CONTR 15.7575143 ROUND 12: MAX CORR ( 64.9950306) AFTER KILLING INPUT VARIABLE 5 CONTR 24.1645939 LAST REMAINING VARIABLE: 7 total correlation to target: 73.1003879 % total significance: 131.677806 sigma correlations of single variables to target: variable 2: 67.1663969 % , in sigma: 120.988739 variable 3: 53.1860697 % , in sigma: 95.8055785 variable 4: 55.7474629 % , in sigma: 100.419489 variable 5: 31.0008034 % , in sigma: 55.842628 variable 6: 50.4988828 % , in sigma: 90.9650723 variable 7: 64.9950306 % , in sigma: 117.077395 variable 8: 57.4532623 % , in sigma: 103.492194 variable 9: 65.582726 % , in sigma: 118.136028 variable 10: -25.9794515 % , in sigma: 46.7975241 variable 11: -23.6632057 % , in sigma: 42.6252047 variable 12: -44.8669357 % , in sigma: 80.820086 variable 13: 23.4105483 % , in sigma: 42.1700858 variable 14: 30.0361386 % , in sigma: 54.1049498 variables sorted by significance: 1 most relevant variable 7 corr 64.9950333 , in sigma: 117.0774 2 most relevant variable 5 corr 24.1645947 , in sigma: 43.5283709 3 most relevant variable 4 corr 15.757514 , in sigma: 28.3844577 4 most relevant variable 9 corr 5.15080547 , in sigma: 9.27829224 5 most relevant variable 3 corr 11.7777929 , in sigma: 21.215673 6 most relevant variable 13 corr 8.90701962 , in sigma: 16.0444675 7 most relevant variable 10 corr 5.76081419 , in sigma: 10.3771183 8 most relevant variable 12 corr 2.05545998 , in sigma: 3.70255845 9 most relevant variable 14 corr 1.69792295 , in sigma: 3.05851684 10 most relevant variable 2 corr 1.17022407 , in sigma: 2.10795787 11 most relevant variable 6 corr 0.787228703 , in sigma: 1.41805743 12 most relevant variable 8 corr 0.468220919 , in sigma: 0.843419645 13 most relevant variable 11 corr 0.0207873434 , in sigma: 0.0374448322 global correlations between input variables: variable 2: 99.2208765 % variable 3: 94.0066273 % variable 4: 92.5278758 % variable 5: 95.4386607 % variable 6: 94.8630519 % variable 7: 98.8409597 % variable 8: 90.7317514 % variable 9: 98.8877501 % variable 10: 72.2385518 % variable 11: 57.6713715 % variable 12: 80.8410701 % variable 13: 86.5100443 % variable 14: 88.3097168 % significance loss when removing single variables: variable 2: corr = 1.29937035 % , sigma = 2.34059272 variable 3: corr = 12.7751984 % , sigma = 23.0123278 variable 4: corr = 13.776653 % , sigma = 24.8162765 variable 5: corr = 15.1849085 % , sigma = 27.3530072 variable 6: corr = 0.900880069 % , sigma = 1.62278086 variable 7: corr = 8.52489051 % , sigma = 15.3561275 variable 8: corr = 0.468493191 % , sigma = 0.843910096 variable 9: corr = 9.61004422 % , sigma = 17.3108457 variable 10: corr = 5.46398511 % , sigma = 9.84243162 variable 11: corr = 0.0207873443 % , sigma = 0.0374448338 variable 12: corr = 1.92074795 % , sigma = 3.45989785 variable 13: corr = 4.99119282 % , sigma = 8.99077744 variable 14: corr = 1.69974458 % , sigma = 3.0617982 Keep only 7 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 8 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 23.4824333 sigma out 15 active outputs RANK 2 NODE 4 --> 17.20397 sigma out 15 active outputs RANK 3 NODE 1 --> 15.3371954 sigma out 15 active outputs RANK 4 NODE 3 --> 14.7583389 sigma out 15 active outputs RANK 5 NODE 8 --> 13.4125843 sigma out 15 active outputs RANK 6 NODE 6 --> 10.1113539 sigma out 15 active outputs RANK 7 NODE 5 --> 10.1048326 sigma out 15 active outputs RANK 8 NODE 7 --> 7.2898097 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 21.8061619 sigma in 8act. ( 24.9664783 sig out 1act.) RANK 2 NODE 11 --> 19.0523014 sigma in 8act. ( 19.7940884 sig out 1act.) RANK 3 NODE 9 --> 17.4797783 sigma in 8act. ( 19.2578945 sig out 1act.) RANK 4 NODE 7 --> 14.0194263 sigma in 8act. ( 16.1001148 sig out 1act.) RANK 5 NODE 6 --> 13.8886948 sigma in 8act. ( 13.7488537 sig out 1act.) RANK 6 NODE 10 --> 7.95953846 sigma in 8act. ( 8.52549362 sig out 1act.) RANK 7 NODE 3 --> 7.84404755 sigma in 8act. ( 7.48026752 sig out 1act.) RANK 8 NODE 8 --> 6.75283432 sigma in 8act. ( 6.25739431 sig out 1act.) RANK 9 NODE 15 --> 3.05754995 sigma in 8act. ( 2.70430756 sig out 1act.) RANK 10 NODE 1 --> 2.67513824 sigma in 8act. ( 4.50508213 sig out 1act.) RANK 11 NODE 4 --> 2.60102177 sigma in 8act. ( 1.06685925 sig out 1act.) RANK 12 NODE 12 --> 2.08398461 sigma in 8act. ( 1.90717125 sig out 1act.) RANK 13 NODE 14 --> 1.78483725 sigma in 8act. ( 0.956430316 sig out 1act.) RANK 14 NODE 5 --> 1.3398366 sigma in 8act. ( 1.22608078 sig out 1act.) RANK 15 NODE 2 --> 1.12490571 sigma in 8act. ( 1.37370479 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 24.9664783 sigma out 1act.( 21.8061619 sig in 8act.) RANK 2 NODE 11 --> 19.7940884 sigma out 1act.( 19.0523014 sig in 8act.) RANK 3 NODE 9 --> 19.2578945 sigma out 1act.( 17.4797783 sig in 8act.) RANK 4 NODE 7 --> 16.1001148 sigma out 1act.( 14.0194263 sig in 8act.) RANK 5 NODE 6 --> 13.7488537 sigma out 1act.( 13.8886948 sig in 8act.) RANK 6 NODE 10 --> 8.52549362 sigma out 1act.( 7.95953846 sig in 8act.) RANK 7 NODE 3 --> 7.48026752 sigma out 1act.( 7.84404755 sig in 8act.) RANK 8 NODE 8 --> 6.25739431 sigma out 1act.( 6.75283432 sig in 8act.) RANK 9 NODE 1 --> 4.50508213 sigma out 1act.( 2.67513824 sig in 8act.) RANK 10 NODE 15 --> 2.70430756 sigma out 1act.( 3.05754995 sig in 8act.) RANK 11 NODE 12 --> 1.90717125 sigma out 1act.( 2.08398461 sig in 8act.) RANK 12 NODE 2 --> 1.37370479 sigma out 1act.( 1.12490571 sig in 8act.) RANK 13 NODE 5 --> 1.22608078 sigma out 1act.( 1.3398366 sig in 8act.) RANK 14 NODE 4 --> 1.06685925 sigma out 1act.( 2.60102177 sig in 8act.) RANK 15 NODE 14 --> 0.956430316 sigma out 1act.( 1.78483725 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 45.1522446 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 32.0971107 sigma out 15 active outputs RANK 2 NODE 4 --> 17.922966 sigma out 15 active outputs RANK 3 NODE 1 --> 17.7806377 sigma out 15 active outputs RANK 4 NODE 8 --> 16.4263592 sigma out 15 active outputs RANK 5 NODE 3 --> 15.4306736 sigma out 15 active outputs RANK 6 NODE 5 --> 12.3089781 sigma out 15 active outputs RANK 7 NODE 6 --> 10.0076828 sigma out 15 active outputs RANK 8 NODE 7 --> 8.26813126 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 25.3342133 sigma in 8act. ( 24.2490234 sig out 1act.) RANK 2 NODE 9 --> 21.2719898 sigma in 8act. ( 19.0137577 sig out 1act.) RANK 3 NODE 7 --> 19.158226 sigma in 8act. ( 15.7689648 sig out 1act.) RANK 4 NODE 11 --> 18.225069 sigma in 8act. ( 18.3161983 sig out 1act.) RANK 5 NODE 6 --> 11.6568918 sigma in 8act. ( 11.9478865 sig out 1act.) RANK 6 NODE 1 --> 9.62808037 sigma in 8act. ( 6.51468801 sig out 1act.) RANK 7 NODE 2 --> 9.10080338 sigma in 8act. ( 3.50645375 sig out 1act.) RANK 8 NODE 3 --> 9.01844788 sigma in 8act. ( 6.54184246 sig out 1act.) RANK 9 NODE 10 --> 8.55805397 sigma in 8act. ( 8.89297104 sig out 1act.) RANK 10 NODE 12 --> 7.72020721 sigma in 8act. ( 2.72054386 sig out 1act.) RANK 11 NODE 14 --> 7.60200119 sigma in 8act. ( 1.7806102 sig out 1act.) RANK 12 NODE 8 --> 6.87621689 sigma in 8act. ( 5.39073849 sig out 1act.) RANK 13 NODE 5 --> 6.35183001 sigma in 8act. ( 2.30148554 sig out 1act.) RANK 14 NODE 4 --> 4.0297389 sigma in 8act. ( 0.485173643 sig out 1act.) RANK 15 NODE 15 --> 3.84913802 sigma in 8act. ( 2.31399059 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 24.2490234 sigma out 1act.( 25.3342133 sig in 8act.) RANK 2 NODE 9 --> 19.0137577 sigma out 1act.( 21.2719898 sig in 8act.) RANK 3 NODE 11 --> 18.3161983 sigma out 1act.( 18.225069 sig in 8act.) RANK 4 NODE 7 --> 15.7689648 sigma out 1act.( 19.158226 sig in 8act.) RANK 5 NODE 6 --> 11.9478865 sigma out 1act.( 11.6568918 sig in 8act.) RANK 6 NODE 10 --> 8.89297104 sigma out 1act.( 8.55805397 sig in 8act.) RANK 7 NODE 3 --> 6.54184246 sigma out 1act.( 9.01844788 sig in 8act.) RANK 8 NODE 1 --> 6.51468801 sigma out 1act.( 9.62808037 sig in 8act.) RANK 9 NODE 8 --> 5.39073849 sigma out 1act.( 6.87621689 sig in 8act.) RANK 10 NODE 2 --> 3.50645375 sigma out 1act.( 9.10080338 sig in 8act.) RANK 11 NODE 12 --> 2.72054386 sigma out 1act.( 7.72020721 sig in 8act.) RANK 12 NODE 15 --> 2.31399059 sigma out 1act.( 3.84913802 sig in 8act.) RANK 13 NODE 5 --> 2.30148554 sigma out 1act.( 6.35183001 sig in 8act.) RANK 14 NODE 14 --> 1.7806102 sigma out 1act.( 7.60200119 sig in 8act.) RANK 15 NODE 4 --> 0.485173643 sigma out 1act.( 4.0297389 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.6299133 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.495346606 *** contribution from regularisation: 0.00366694946 *** contribution from error: -0.499013543 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.536798537 *** contribution from regularisation: 0.00168698246 *** contribution from error: -0.538485527 *********************************************** -----------------> Test sample ENTER BFGS code START -47779.6736 -0.394172311 -0.168289363 EXIT FROM BFGS code FG_START 0. -0.394172311 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.554442525 *** contribution from regularisation: 0.00172051217 *** contribution from error: -0.556163013 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -49340.9512 -0.394172311 -50.2127724 EXIT FROM BFGS code FG_LNSRCH 0. -0.408373922 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.570350468 *** contribution from regularisation: 0.00242244359 *** contribution from error: -0.57277292 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50756.6279 -0.408373922 -51.7798157 EXIT FROM BFGS code NEW_X -50756.6279 -0.408373922 -51.7798157 ENTER BFGS code NEW_X -50756.6279 -0.408373922 -51.7798157 EXIT FROM BFGS code FG_LNSRCH 0. -0.417424232 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.572781384 *** contribution from regularisation: 0.00229484448 *** contribution from error: -0.575076222 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50972.9614 -0.417424232 -25.4903965 EXIT FROM BFGS code NEW_X -50972.9614 -0.417424232 -25.4903965 ENTER BFGS code NEW_X -50972.9614 -0.417424232 -25.4903965 EXIT FROM BFGS code FG_LNSRCH 0. -0.426153392 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.573343575 *** contribution from regularisation: 0.0022472227 *** contribution from error: -0.575590789 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51022.9913 -0.426153392 -11.5365934 EXIT FROM BFGS code NEW_X -51022.9913 -0.426153392 -11.5365934 ENTER BFGS code NEW_X -51022.9913 -0.426153392 -11.5365934 EXIT FROM BFGS code FG_LNSRCH 0. -0.433400035 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.573511243 *** contribution from regularisation: 0.00223152735 *** contribution from error: -0.575742781 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51037.9121 -0.433400035 -0.344659686 EXIT FROM BFGS code NEW_X -51037.9121 -0.433400035 -0.344659686 ENTER BFGS code NEW_X -51037.9121 -0.433400035 -0.344659686 EXIT FROM BFGS code FG_LNSRCH 0. -0.437307358 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.573603868 *** contribution from regularisation: 0.00222978741 *** contribution from error: -0.575833678 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51046.157 -0.437307358 4.5485487 EXIT FROM BFGS code NEW_X -51046.157 -0.437307358 4.5485487 ENTER BFGS code NEW_X -51046.157 -0.437307358 4.5485487 EXIT FROM BFGS code FG_LNSRCH 0. -0.440990895 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.573762774 *** contribution from regularisation: 0.0021746892 *** contribution from error: -0.57593745 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51060.2945 -0.440990895 10.7258902 EXIT FROM BFGS code NEW_X -51060.2945 -0.440990895 10.7258902 ENTER BFGS code NEW_X -51060.2945 -0.440990895 10.7258902 EXIT FROM BFGS code FG_LNSRCH 0. -0.440397203 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 32.7272568 sigma out 15 active outputs RANK 2 NODE 1 --> 21.7403545 sigma out 15 active outputs RANK 3 NODE 8 --> 14.7822609 sigma out 15 active outputs RANK 4 NODE 5 --> 11.8600788 sigma out 15 active outputs RANK 5 NODE 4 --> 10.9361897 sigma out 15 active outputs RANK 6 NODE 3 --> 9.36105728 sigma out 15 active outputs RANK 7 NODE 6 --> 7.36996365 sigma out 15 active outputs RANK 8 NODE 7 --> 6.70908976 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 23.6861038 sigma in 8act. ( 18.4465828 sig out 1act.) RANK 2 NODE 7 --> 20.5841789 sigma in 8act. ( 14.1395235 sig out 1act.) RANK 3 NODE 9 --> 18.3180962 sigma in 8act. ( 14.0860825 sig out 1act.) RANK 4 NODE 1 --> 13.5600271 sigma in 8act. ( 12.985076 sig out 1act.) RANK 5 NODE 2 --> 13.0092831 sigma in 8act. ( 11.309288 sig out 1act.) RANK 6 NODE 14 --> 12.2019606 sigma in 8act. ( 9.4068327 sig out 1act.) RANK 7 NODE 11 --> 9.9687252 sigma in 8act. ( 9.78357601 sig out 1act.) RANK 8 NODE 3 --> 8.55645084 sigma in 8act. ( 8.6737566 sig out 1act.) RANK 9 NODE 12 --> 8.23558617 sigma in 8act. ( 6.90323973 sig out 1act.) RANK 10 NODE 5 --> 7.83515835 sigma in 8act. ( 7.32873917 sig out 1act.) RANK 11 NODE 10 --> 5.643507 sigma in 8act. ( 5.38041067 sig out 1act.) RANK 12 NODE 6 --> 4.93539762 sigma in 8act. ( 4.24688339 sig out 1act.) RANK 13 NODE 8 --> 3.49902654 sigma in 8act. ( 2.02894711 sig out 1act.) RANK 14 NODE 15 --> 3.21504664 sigma in 8act. ( 2.34921646 sig out 1act.) RANK 15 NODE 4 --> 2.56219769 sigma in 8act. ( 0.907270551 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 18.4465828 sigma out 1act.( 23.6861038 sig in 8act.) RANK 2 NODE 7 --> 14.1395235 sigma out 1act.( 20.5841789 sig in 8act.) RANK 3 NODE 9 --> 14.0860825 sigma out 1act.( 18.3180962 sig in 8act.) RANK 4 NODE 1 --> 12.985076 sigma out 1act.( 13.5600271 sig in 8act.) RANK 5 NODE 2 --> 11.309288 sigma out 1act.( 13.0092831 sig in 8act.) RANK 6 NODE 11 --> 9.78357601 sigma out 1act.( 9.9687252 sig in 8act.) RANK 7 NODE 14 --> 9.4068327 sigma out 1act.( 12.2019606 sig in 8act.) RANK 8 NODE 3 --> 8.6737566 sigma out 1act.( 8.55645084 sig in 8act.) RANK 9 NODE 5 --> 7.32873917 sigma out 1act.( 7.83515835 sig in 8act.) RANK 10 NODE 12 --> 6.90323973 sigma out 1act.( 8.23558617 sig in 8act.) RANK 11 NODE 10 --> 5.38041067 sigma out 1act.( 5.643507 sig in 8act.) RANK 12 NODE 6 --> 4.24688339 sigma out 1act.( 4.93539762 sig in 8act.) RANK 13 NODE 15 --> 2.34921646 sigma out 1act.( 3.21504664 sig in 8act.) RANK 14 NODE 8 --> 2.02894711 sigma out 1act.( 3.49902654 sig in 8act.) RANK 15 NODE 4 --> 0.907270551 sigma out 1act.( 2.56219769 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 38.1232452 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.573978186 *** contribution from regularisation: 0.00205386546 *** contribution from error: -0.576032043 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51079.4682 -0.440397203 17.7247353 EXIT FROM BFGS code NEW_X -51079.4682 -0.440397203 17.7247353 ENTER BFGS code NEW_X -51079.4682 -0.440397203 17.7247353 EXIT FROM BFGS code FG_LNSRCH 0. -0.42167747 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.574229598 *** contribution from regularisation: 0.00192260882 *** contribution from error: -0.576152205 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51101.8382 -0.42167747 32.7811012 EXIT FROM BFGS code NEW_X -51101.8382 -0.42167747 32.7811012 ENTER BFGS code NEW_X -51101.8382 -0.42167747 32.7811012 EXIT FROM BFGS code FG_LNSRCH 0. -0.379000306 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.573608398 *** contribution from regularisation: 0.00197295332 *** contribution from error: -0.575581372 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51046.5612 -0.379000306 23.7293797 EXIT FROM BFGS code FG_LNSRCH 0. -0.411803901 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.573754311 *** contribution from regularisation: 0.00249962229 *** contribution from error: -0.576253951 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51059.5432 -0.411803901 30.9832344 EXIT FROM BFGS code FG_LNSRCH 0. -0.421129435 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.573983431 *** contribution from regularisation: 0.00217732461 *** contribution from error: -0.576160729 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51079.9348 -0.421129435 32.2331848 EXIT FROM BFGS code FG_LNSRCH 0. -0.421673417 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.573996603 *** contribution from regularisation: 0.00215568463 *** contribution from error: -0.576152265 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51081.1041 -0.421673417 32.3072281 EXIT FROM BFGS code FG_LNSRCH 0. -0.42167747 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.574002564 *** contribution from regularisation: 0.00214962591 *** contribution from error: -0.576152205 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51081.6355 -0.42167747 32.3090553 EXIT FROM BFGS code FG_LNSRCH 0. -0.42167747 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.573995888 *** contribution from regularisation: 0.00215626881 *** contribution from error: -0.576152146 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51081.0444 -0.42167747 32.2766113 EXIT FROM BFGS code FG_LNSRCH 0. -0.42167747 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.57399565 *** contribution from regularisation: 0.00215650676 *** contribution from error: -0.576152146 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51081.0232 -0.42167747 32.3084183 EXIT FROM BFGS code FG_LNSRCH 0. -0.42167747 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.573988676 *** contribution from regularisation: 0.00216352055 *** contribution from error: -0.576152205 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51080.399 -0.42167747 32.2554626 EXIT FROM BFGS code NEW_X -51080.399 -0.42167747 32.2554626 ENTER BFGS code NEW_X -51080.399 -0.42167747 32.2554626 EXIT FROM BFGS code CONVERGENC -51080.399 -0.42167747 32.2554626 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 53.8641891 sigma out 15 active outputs RANK 2 NODE 1 --> 36.4362335 sigma out 15 active outputs RANK 3 NODE 8 --> 23.8776512 sigma out 15 active outputs RANK 4 NODE 5 --> 20.020155 sigma out 15 active outputs RANK 5 NODE 6 --> 15.8348351 sigma out 15 active outputs RANK 6 NODE 7 --> 15.454093 sigma out 15 active outputs RANK 7 NODE 4 --> 15.3352842 sigma out 15 active outputs RANK 8 NODE 3 --> 11.9451475 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 39.2512779 sigma in 8act. ( 33.7338829 sig out 1act.) RANK 2 NODE 7 --> 33.0389862 sigma in 8act. ( 23.9695549 sig out 1act.) RANK 3 NODE 9 --> 29.2262745 sigma in 8act. ( 22.7059402 sig out 1act.) RANK 4 NODE 1 --> 25.0079708 sigma in 8act. ( 25.9183273 sig out 1act.) RANK 5 NODE 2 --> 22.7953262 sigma in 8act. ( 22.5717201 sig out 1act.) RANK 6 NODE 14 --> 21.7228966 sigma in 8act. ( 18.2787971 sig out 1act.) RANK 7 NODE 11 --> 16.1218948 sigma in 8act. ( 16.1135921 sig out 1act.) RANK 8 NODE 3 --> 15.9202309 sigma in 8act. ( 17.1450405 sig out 1act.) RANK 9 NODE 5 --> 13.8511 sigma in 8act. ( 14.7777748 sig out 1act.) RANK 10 NODE 12 --> 13.0339527 sigma in 8act. ( 12.8049345 sig out 1act.) RANK 11 NODE 10 --> 6.61861992 sigma in 8act. ( 6.15121222 sig out 1act.) RANK 12 NODE 15 --> 4.19774437 sigma in 8act. ( 3.45389962 sig out 1act.) RANK 13 NODE 6 --> 3.46333838 sigma in 8act. ( 1.76812303 sig out 1act.) RANK 14 NODE 4 --> 2.89273119 sigma in 8act. ( 2.23496747 sig out 1act.) RANK 15 NODE 8 --> 2.66629124 sigma in 8act. ( 1.23765731 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 33.7338829 sigma out 1act.( 39.2512779 sig in 8act.) RANK 2 NODE 1 --> 25.9183273 sigma out 1act.( 25.0079708 sig in 8act.) RANK 3 NODE 7 --> 23.9695549 sigma out 1act.( 33.0389862 sig in 8act.) RANK 4 NODE 9 --> 22.7059402 sigma out 1act.( 29.2262745 sig in 8act.) RANK 5 NODE 2 --> 22.5717201 sigma out 1act.( 22.7953262 sig in 8act.) RANK 6 NODE 14 --> 18.2787971 sigma out 1act.( 21.7228966 sig in 8act.) RANK 7 NODE 3 --> 17.1450405 sigma out 1act.( 15.9202309 sig in 8act.) RANK 8 NODE 11 --> 16.1135921 sigma out 1act.( 16.1218948 sig in 8act.) RANK 9 NODE 5 --> 14.7777748 sigma out 1act.( 13.8511 sig in 8act.) RANK 10 NODE 12 --> 12.8049345 sigma out 1act.( 13.0339527 sig in 8act.) RANK 11 NODE 10 --> 6.15121222 sigma out 1act.( 6.61861992 sig in 8act.) RANK 12 NODE 15 --> 3.45389962 sigma out 1act.( 4.19774437 sig in 8act.) RANK 13 NODE 4 --> 2.23496747 sigma out 1act.( 2.89273119 sig in 8act.) RANK 14 NODE 6 --> 1.76812303 sigma out 1act.( 3.46333838 sig in 8act.) RANK 15 NODE 8 --> 1.23765731 sigma out 1act.( 2.66629124 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 68.8389359 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.573998272 *** contribution from regularisation: 0.00215390231 *** contribution from error: -0.576152146 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24530 Closing output file done