NNInput NNInputs_190.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 180517 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 = 32175 nbkg = 148342 Bkg Entries: 148342 Sig Entries: 32175 Chosen entries: 32175 Signal fraction: 1 Background fraction: 0.216897 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 148342 Actual Signal Entries: 32175 Entries to split: 32175 Test with : 16087 Train with : 16087 ********************************************* * 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= 32175 for Signal Prepared event 0 for Signal with 32175 events ====Entry 0 Variable Ht : 421.046 Variable LepAPt : 44.3127 Variable LepBPt : 36.9318 Variable MetSigLeptonsJets : 7.65406 Variable MetSpec : 80.9944 Variable SumEtLeptonsJets : 290.573 Variable VSumJetLeptonsPt : 147.233 Variable addEt : 211.717 Variable dPhiLepSumMet : 0.752822 Variable dPhiLeptons : 0.152314 Variable dRLeptons : 0.179862 Variable lep1_E : 44.3354 Variable lep2_E : 37.0067 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2190 Ht = 421.046 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 44.3127 LepAPt = 44.3127 LepBEt = 36.9318 LepBPt = 36.9318 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 130.473 MetDelPhi = 0.669733 MetSig = 6.92202 MetSigLeptonsJets = 7.65406 MetSpec = 80.9944 Mjj = 0 MostCentralJetEta = 0.923966 MtllMet = 211.813 Njets = 1 SB = 0 SumEt = 355.282 SumEtJets = 0 SumEtLeptonsJets = 290.573 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 147.233 addEt = 211.717 dPhiLepSumMet = 0.752822 dPhiLeptons = 0.152314 dRLeptons = 0.179862 diltype = 45 dimass = 7.27193 event = 49 jet1_Et = 209.329 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.3354 lep2_E = 37.0067 rand = 0.999742 run = 228406 weight = 2.22218e-06 ===Show End Prepared event 10000 for Signal with 32175 events Prepared event 20000 for Signal with 32175 events Prepared event 30000 for Signal with 32175 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= 148342 for Background Prepared event 0 for Background with 148342 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 = 0.194503 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 148342 events Prepared event 20000 for Background with 148342 events Prepared event 30000 for Background with 148342 events Prepared event 40000 for Background with 148342 events Prepared event 50000 for Background with 148342 events Prepared event 60000 for Background with 148342 events Prepared event 70000 for Background with 148342 events Prepared event 80000 for Background with 148342 events Prepared event 90000 for Background with 148342 events Prepared event 100000 for Background with 148342 events Prepared event 110000 for Background with 148342 events Prepared event 120000 for Background with 148342 events Prepared event 130000 for Background with 148342 events Prepared event 140000 for Background with 148342 events Warning: found 4748 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 180517 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 4748 negative weights. Signal fraction: 63.0029869 % ------------------------------ 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. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 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 63.4181175 65.7250977 67.3284454 68.5176392 69.6331177 70.5254288 71.4437256 72.3518219 73.1875458 73.9489136 74.7441635 75.4085999 76.1224976 76.8119049 77.4113998 78.1141968 78.7802582 79.3852234 80.0028763 80.7706909 81.4302521 82.2782135 83.0243759 83.8699493 84.9493713 86.1041489 87.2611465 88.5131989 89.6675644 91.0693054 92.5325546 94.1562653 95.5716324 97.2297058 98.9090271 100.443481 102.276764 103.947868 105.5112 107.308121 108.960602 110.781021 112.69455 114.625435 116.26442 118.24762 119.717735 121.409256 123.202057 124.950462 126.744171 128.479553 130.035431 131.889481 133.575226 135.124527 136.891632 138.288055 139.88858 141.75058 143.337006 145.066055 146.686188 148.251801 149.964264 151.756256 153.463959 155.076019 156.797852 158.675659 160.512817 162.435455 164.381485 166.522675 168.400925 170.409439 172.421509 174.715393 177.093399 179.793198 181.965027 184.632263 187.310471 190.140884 193.329071 196.492661 200.101562 203.995972 208.295776 212.755325 217.479614 222.986816 229.720795 237.436478 247.040863 258.17572 274.565948 295.906555 339.371796 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3515701 20.6925545 20.9722595 21.2598724 21.5487709 21.854351 22.0502472 22.2835197 22.4947166 22.7327709 22.9065971 23.1331902 23.3713837 23.583374 23.7940426 24.03759 24.3034325 24.5307941 24.732378 24.9699345 25.1975098 25.3549156 25.5770988 25.7823334 26.0158195 26.2429581 26.4891243 26.7239532 26.9658241 27.2101002 27.5006828 27.7536488 28.0036278 28.2210236 28.4907074 28.6986637 29.0026474 29.2500648 29.5449619 29.8185139 30.1728573 30.4542961 30.7387772 31.0509853 31.3709641 31.6542683 31.9585876 32.2983017 32.6618652 33.0408592 33.4185066 33.8123245 34.1495819 34.4954529 34.8747482 35.2506256 35.6858521 36.0978088 36.5301819 36.9683113 37.4316406 37.8829956 38.3397446 38.7951241 39.1938019 39.7164459 40.25317 40.7141609 41.2266617 41.8126678 42.3856354 42.9481812 43.5921783 44.1627274 44.859272 45.4962082 46.099102 46.7453804 47.4851074 48.1532249 48.9523697 49.7557526 50.5820007 51.4537125 52.3253098 53.359684 54.3713264 55.5079803 56.7154236 58.0051956 59.4184952 60.8401527 62.3918457 64.0880127 65.7598572 68.1418915 71.4484634 75.7386322 84.4772949 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0008593 10.1221247 10.2712021 10.3928003 10.4844818 10.6092873 10.757576 10.8659153 11.0236931 11.1753483 11.3369198 11.4680481 11.6044846 11.7529449 11.9011421 12.0581741 12.2028904 12.3710117 12.5192547 12.6834698 12.8319721 12.9767895 13.1683273 13.3589439 13.5115032 13.6803198 13.83284 13.9967346 14.1815195 14.3700275 14.5547523 14.7749901 14.9736834 15.1757851 15.3561401 15.5464182 15.7990675 15.9765739 16.229805 16.4537506 16.6919651 16.9006462 17.1694908 17.4168587 17.6558838 17.8680458 18.1123657 18.3366814 18.5590935 18.8391495 19.0956306 19.317627 19.5628395 19.7654781 20.0201225 20.2329407 20.4414139 20.6302357 20.8694611 21.0806217 21.2903404 21.5394497 21.7542686 21.9640732 22.1464081 22.3813858 22.6073341 22.8132286 23.0386581 23.273201 23.5115376 23.7409286 23.9957848 24.2590218 24.5078526 24.8019104 25.0920277 25.3324394 25.649704 25.9360332 26.2385216 26.5841484 26.9403114 27.3266411 27.6632462 28.0219841 28.4475288 28.8915939 29.3375969 29.8423615 30.3899307 30.9224052 31.5046329 32.2007065 32.9726868 33.957962 35.140007 36.7021294 38.8909073 43.1027489 94.9407349 ------------------------------ Transdef: Tab for variable 5 0.853937626 2.7029829 3.17393684 3.55509758 3.82222223 4.04702616 4.17495728 4.30571079 4.44000626 4.56705809 4.66484356 4.76385403 4.86147976 4.94754982 5.02738285 5.10035133 5.15497446 5.22804451 5.2909646 5.34847116 5.41846561 5.47234297 5.5266633 5.5769577 5.63048124 5.68675709 5.7424221 5.78315401 5.8314333 5.87661552 5.92107487 5.96526909 6.01299 6.05699253 6.10738659 6.15712261 6.20698357 6.25175285 6.285882 6.32787085 6.37837029 6.42257023 6.47026587 6.52011585 6.56521034 6.61449003 6.66198254 6.71224976 6.7608285 6.80796814 6.85798359 6.90366697 6.95804691 7.00615835 7.0697813 7.12803698 7.17918491 7.22278118 7.2748518 7.3324213 7.38945436 7.44510984 7.49205828 7.54604244 7.60305643 7.65597916 7.71883011 7.78316784 7.84692764 7.90555573 7.96431351 8.02268028 8.08987236 8.14557648 8.20451355 8.2628231 8.3262043 8.39214134 8.44943905 8.51527977 8.58446693 8.65975761 8.73447704 8.81025219 8.87071037 8.94638252 9.02560806 9.10891151 9.20713139 9.32523441 9.44326782 9.55681992 9.70173073 9.84338379 10.0034199 10.2026463 10.4299316 10.7597866 11.1929655 11.9925318 19.6063156 ------------------------------ Transdef: Tab for variable 6 15.0048103 22.0541954 25.6526394 26.749485 27.7440548 28.8050423 29.7338142 30.6203423 31.2633362 31.9038715 32.4659195 32.9330101 33.4333687 33.9006577 34.4086075 34.8339767 35.2552032 35.7018318 36.0718307 36.4799347 36.8099556 37.2303429 37.66185 37.9800949 38.3894234 38.720417 39.1294556 39.5170593 39.922905 40.289444 40.6210175 41.0144539 41.4558907 41.9753342 42.4334183 42.9458313 43.4501991 43.891819 44.4563599 45.0038986 45.6569672 46.2463608 47.0314789 47.6363831 48.3116188 49.0159988 49.6604996 50.2413712 50.8605728 51.6739235 52.4219398 53.3037834 54.181385 54.8718948 55.750946 56.531601 57.2617149 58.1731491 58.7977905 59.598526 60.3425293 61.2461281 61.9352417 62.7974358 63.6126175 64.3590393 65.2246933 66.0336761 66.8703232 67.6848831 68.5758514 69.2903748 70.2154846 71.1320953 72.0361938 72.8453827 73.7303925 74.581131 75.5147781 76.4321594 77.4245834 78.3868179 79.5393906 80.6689377 81.7347488 82.9445496 84.2305756 85.4402924 86.8371277 88.5409317 90.217514 92.2126694 94.2055511 96.5151825 99.459549 102.710152 106.750473 112.591278 120.714165 133.40358 290.769653 ------------------------------ Transdef: Tab for variable 7 30.1895332 32.7445984 33.6651497 34.4913673 35.0534058 35.5524178 36.0148392 36.4448242 36.8950272 37.2471085 37.6346588 38.0092926 38.3033676 38.6356659 38.8863907 39.1714439 39.4738083 39.8356133 40.1452484 40.4489098 40.8139114 41.2065163 41.5895691 41.9826164 42.5071793 42.9137383 43.419445 44.0837097 44.6755257 45.2597504 46.0564194 47.0175667 47.9190826 48.8101883 49.8608856 50.9944382 52.0817223 53.1389503 54.1499557 55.1413803 56.1935387 57.2505798 58.2951813 59.2896729 60.2172699 61.1814804 62.0192642 62.9568367 63.845211 64.8888245 65.8275604 66.6957779 67.5690308 68.5399323 69.4798279 70.3647919 71.2400208 72.188797 73.1319199 74.1416473 75.1551361 76.2666168 77.2796631 78.3983841 79.437149 80.5811768 81.7785339 82.958786 84.1511841 85.577507 86.9142609 88.2837982 89.5596466 91.080307 92.6363373 94.1289978 95.9069824 97.8281555 99.5976257 101.50914 103.342255 105.427582 107.429962 109.72142 112.127045 114.807373 117.424515 120.075554 123.167175 126.42981 129.74855 134.073517 138.594818 144.014572 150.007507 157.56369 168.607452 181.18895 198.422928 232.552673 518.545105 ------------------------------ Transdef: Tab for variable 8 0.888904691 25.6119766 29.8165665 31.5504494 32.4128494 32.9950104 33.7033463 34.1625328 34.6553421 35.0476379 35.4414215 35.8362045 36.1717148 36.5451813 36.8582611 37.1371078 37.4581757 37.7596436 38.0318527 38.3265305 38.5687561 38.8029404 39.0791245 39.34021 39.6121788 39.8925171 40.2238388 40.5678711 40.9332237 41.2728996 41.6411858 42.1035309 42.5096283 42.9420319 43.4165573 43.8402176 44.3149109 44.8440819 45.4663467 46.2367668 46.7992897 47.4420052 48.2179451 48.7952423 49.456295 50.141922 50.8906898 51.6457291 52.4227905 53.2363892 53.9580994 54.7158852 55.5442657 56.336235 57.1432571 57.8640747 58.5979614 59.3091393 60.0113487 60.7458725 61.3582993 62.0783234 62.7813034 63.5459404 64.3049622 65.02034 65.6725616 66.292511 67.0742798 67.8019104 68.5265198 69.2572708 70.0392151 70.8499908 71.6240921 72.410965 73.2927094 74.1737366 75.0516891 75.9165344 76.873909 77.8225403 78.7556458 79.760849 80.8624268 81.9752045 83.2065659 84.4928589 86.0145416 87.6408997 89.2882462 91.2117462 93.3889618 95.6833191 98.6123962 101.97477 106.312546 112.128731 121.031227 135.028717 326.868286 ------------------------------ Transdef: Tab for variable 9 49.2546883 63.038166 65.1804886 66.8585052 68.0176697 68.9956665 69.9467468 70.7674713 71.6116028 72.483429 73.2081146 73.8844452 74.577507 75.2234039 75.7392578 76.4209747 77.0259399 77.5335846 78.1174316 78.6877594 79.294075 79.7698517 80.3684921 80.9816208 81.6030579 82.3653946 82.9674988 83.6380768 84.5452271 85.3322983 86.2709808 87.2156677 88.1255035 89.0539856 90.0955658 91.2557678 92.4456177 93.655304 95.0682526 96.3232269 97.8359756 99.0515442 100.554924 101.979012 103.637497 104.894363 106.283051 107.83136 109.222427 110.820297 112.349976 113.94664 115.365448 116.755829 118.159874 119.537491 120.620621 121.9375 123.27597 124.679977 126.11573 127.458763 128.768951 129.877945 131.065247 132.412842 133.642059 134.808029 136.089203 137.371307 138.498016 139.680054 141.009811 142.251251 143.574951 144.930573 146.175522 147.443237 148.681137 150.052795 151.481415 152.943634 154.435333 155.95578 157.407837 158.959839 160.610504 162.352234 164.149719 166.203613 168.205109 170.458344 172.929382 175.630615 178.584747 181.716583 186.163055 191.406006 199.532745 218.600983 469.439911 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.05922294 1.3868804 1.59675884 1.7544179 1.87372375 1.98591161 2.07203531 2.14471674 2.20915079 2.26342654 2.31658173 2.36012459 2.39943624 2.4394896 2.47496271 2.50689268 2.53849173 2.56646442 2.5957346 2.62043142 2.64624953 2.66815996 2.68943167 2.70770168 2.72644901 2.74221468 2.75775576 2.77398872 2.78814459 2.80137157 2.81523585 2.82955074 2.84179878 2.85170579 2.86085844 2.87183523 2.88054943 2.88981962 2.89798141 2.90697503 2.9153223 2.92344117 2.93003273 2.93811512 2.94529462 2.95202136 2.95852184 2.96486092 2.96989059 2.97545362 2.98022223 2.98534918 2.99042964 2.99564028 3.00099802 3.00556087 3.01056123 3.01493931 3.01962256 3.02386522 3.02838182 3.03212905 3.03561997 3.03979921 3.04334021 3.04731846 3.0511477 3.05491638 3.05857778 3.06207323 3.06558084 3.06842065 3.07125044 3.07414484 3.07695055 3.08017087 3.08296514 3.08580589 3.08904672 3.09190559 3.09492731 3.09771299 3.10024834 3.10318422 3.10580039 3.10859728 3.11047053 3.11312962 3.11574841 3.1181078 3.12033701 3.12257338 3.12508297 3.12782526 3.13051128 3.13222361 3.13418484 3.13667536 3.13897467 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00535082817 0.010974586 0.0173735619 0.0229556561 0.0297019444 0.0361828804 0.0431358814 0.0494497567 0.0567493439 0.0619678199 0.0673606396 0.0734571218 0.0792082548 0.0853210688 0.0912204087 0.0964762494 0.102226138 0.107796311 0.111797333 0.116394058 0.121956587 0.126806974 0.132342219 0.137746125 0.143392861 0.148299456 0.15319109 0.157656312 0.162819624 0.16803968 0.17334722 0.178419054 0.183673739 0.18846868 0.194182515 0.199722737 0.205002248 0.209970027 0.215162992 0.220599085 0.225454271 0.230994523 0.235601187 0.241282731 0.246642113 0.251700521 0.257226765 0.261998415 0.267266035 0.272079945 0.277471006 0.281859994 0.287555456 0.293346882 0.298684061 0.30412823 0.310578108 0.316111267 0.322810292 0.328647196 0.334304959 0.340734839 0.347305059 0.353236973 0.359264493 0.365432978 0.371389091 0.377244174 0.383720875 0.389746428 0.396296024 0.402787089 0.409721971 0.417501748 0.424740016 0.430709511 0.437960565 0.445705175 0.453847408 0.461423159 0.470177829 0.478352904 0.487514019 0.49733153 0.507731378 0.517767906 0.529202104 0.542188644 0.556351423 0.571614981 0.585750401 0.601727009 0.618531942 0.636066973 0.655516624 0.680920124 0.712822318 0.756507754 0.819547653 1.15715599 ------------------------------ Transdef: Tab for variable 12 0.100055709 0.119740725 0.138478428 0.151775196 0.163224056 0.173150361 0.18354632 0.193015546 0.201429784 0.210590631 0.21844095 0.225672826 0.233526558 0.240013912 0.24717322 0.254255712 0.261189938 0.267619967 0.273803115 0.279753894 0.286755979 0.292912185 0.297507226 0.303020418 0.308912158 0.314606011 0.320714593 0.327068478 0.332879007 0.339520276 0.344953775 0.34993583 0.355624765 0.361115962 0.366801888 0.371874303 0.377116889 0.382456064 0.387725472 0.39337337 0.398645788 0.403028727 0.407097638 0.411403179 0.415261865 0.419576705 0.423590064 0.427697152 0.431308419 0.434937477 0.438884348 0.443185836 0.446893394 0.451625854 0.456244528 0.460386038 0.464515358 0.469351828 0.473472893 0.4767721 0.48154515 0.486290216 0.491953671 0.496857524 0.501110792 0.505728722 0.510354042 0.515577912 0.521801174 0.527162194 0.532355905 0.53865397 0.544827938 0.552129149 0.557475328 0.564287782 0.57020545 0.577333212 0.585533381 0.593221068 0.600572288 0.607884049 0.61714375 0.625240684 0.634036541 0.643439472 0.653358459 0.662050605 0.671907544 0.683259964 0.696125388 0.709835887 0.722468138 0.735458314 0.75438863 0.774936676 0.796016872 0.818121672 0.851813674 0.89338541 1.1651752 ------------------------------ Transdef: Tab for variable 13 20.0083618 21.5149841 22.456028 23.0613747 23.6677761 24.1568031 24.6737194 25.1499386 25.5530357 26.0153732 26.4226093 26.879715 27.2508354 27.6686802 28.1176891 28.501091 28.8530464 29.239275 29.5638714 29.9051056 30.2557869 30.6170769 30.963026 31.3065262 31.6117935 31.9705276 32.3652954 32.6829224 33.1490173 33.520153 33.9103317 34.3076515 34.6261368 34.9856186 35.3976784 35.7810516 36.1486893 36.5690918 36.9976883 37.4168625 37.8880997 38.332489 38.7516937 39.1307487 39.573555 39.997612 40.5141945 40.95755 41.4049263 41.9056091 42.410202 42.845768 43.3029175 43.8014526 44.3341751 44.8464432 45.4152985 45.9960861 46.4988785 46.9619293 47.473629 48.0193253 48.6154404 49.167408 49.7589645 50.4310493 51.0543671 51.6893082 52.2837639 52.937355 53.6491776 54.3952255 55.1101608 55.8589706 56.7160416 57.491436 58.2236862 59.014061 59.8309593 60.7322845 61.7327652 62.7080498 63.5474777 64.5505981 65.636673 66.7154541 67.9169617 69.2144928 70.5218277 71.8427277 73.5228577 75.2820587 77.3683624 79.6528625 82.3739471 85.6925964 88.5114746 92.3851929 97.9361038 108.885338 381.504089 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.7970638 11.2416611 11.5616989 11.8850079 12.220541 12.4767857 12.8210955 13.1571426 13.4527569 13.6928158 13.9273968 14.181776 14.4512043 14.7328129 15.0185356 15.2784214 15.5474777 15.8243332 16.0766811 16.4086227 16.6414013 16.9227982 17.1550407 17.4711189 17.7559509 17.9822617 18.2462807 18.5386124 18.7993736 19.080883 19.3496723 19.6355247 19.8850708 20.1795959 20.4417801 20.6712379 20.9364052 21.2052479 21.4519501 21.7051086 21.9638824 22.2457771 22.4850159 22.7299919 22.9710884 23.1998425 23.4290714 23.6379509 23.8793259 24.1528206 24.4459953 24.6971569 24.9448776 25.2230911 25.4747334 25.6894646 25.931221 26.1936798 26.4766006 26.724144 27.0215607 27.2845802 27.5548725 27.8130932 28.0824471 28.3432178 28.6476536 28.9763317 29.2483978 29.5582905 29.8600121 30.2277565 30.5683708 30.9177589 31.2309418 31.5597191 31.962328 32.3753815 32.8028107 33.2480545 33.5726318 34.0765991 34.4801865 35.0207443 35.5935211 36.1568298 36.7394562 37.4284897 38.2726097 39.1415176 40.0851593 41.045929 42.1695557 43.4321213 45.0755463 47.324234 49.9568329 53.9807205 60.9296799 122.221924 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 67.1 52.5 52.8 31.9 51.1 64.9 57.4 65.4 -27.1 -13.9 -26.2 26.4 28.0 2 67.1 100.0 69.7 58.9 40.1 71.3 94.7 78.3 92.6 -43.0 -21.7 -38.0 43.9 34.4 3 52.5 69.7 100.0 45.3 19.7 43.1 71.5 61.1 77.6 -12.7 -24.1 -44.0 73.6 25.4 4 52.8 58.9 45.3 100.0 14.4 35.3 61.1 49.8 61.9 -14.2 -26.2 -46.8 27.0 73.6 5 31.9 40.1 19.7 14.4 100.0 84.4 13.9 60.0 59.6 22.0 -7.5 -11.1 7.3 3.0 6 51.1 71.3 43.1 35.3 84.4 100.0 51.8 80.6 80.8 -7.2 -14.2 -24.1 23.8 17.1 7 64.9 94.7 71.5 61.1 13.9 51.8 100.0 70.5 82.1 -51.6 -20.7 -37.9 46.7 37.5 8 57.4 78.3 61.1 49.8 60.0 80.6 70.5 100.0 85.3 -11.7 -21.8 -35.5 38.6 28.8 9 65.4 92.6 77.6 61.9 59.6 80.8 82.1 85.3 100.0 -19.5 -24.6 -43.5 51.0 36.7 10 -27.1 -43.0 -12.7 -14.2 22.0 -7.2 -51.6 -11.7 -19.5 100.0 2.0 4.9 -4.4 -7.1 11 -13.9 -21.7 -24.1 -26.2 -7.5 -14.2 -20.7 -21.8 -24.6 2.0 100.0 59.0 -12.7 -15.3 12 -26.2 -38.0 -44.0 -46.8 -11.1 -24.1 -37.9 -35.5 -43.5 4.9 59.0 100.0 -23.4 -23.5 13 26.4 43.9 73.6 27.0 7.3 23.8 46.7 38.6 51.0 -4.4 -12.7 -23.4 100.0 45.9 14 28.0 34.4 25.4 73.6 3.0 17.1 37.5 28.8 36.7 -7.1 -15.3 -23.5 45.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 168.978065 TOTAL CORRELATION OF ALL VARIABLES 72.6175668 ROUND 1: MAX CORR ( 72.6172018) AFTER KILLING INPUT VARIABLE 6 CONTR 0.230253139 ROUND 2: MAX CORR ( 72.6153516) AFTER KILLING INPUT VARIABLE 11 CONTR 0.518370658 ROUND 3: MAX CORR ( 72.6125943) AFTER KILLING INPUT VARIABLE 8 CONTR 0.632804893 ROUND 4: MAX CORR ( 72.5876983) AFTER KILLING INPUT VARIABLE 2 CONTR 1.90129047 ROUND 5: MAX CORR ( 72.5629312) AFTER KILLING INPUT VARIABLE 14 CONTR 1.89603479 ROUND 6: MAX CORR ( 72.2955675) AFTER KILLING INPUT VARIABLE 10 CONTR 6.22333571 ROUND 7: MAX CORR ( 71.9831704) AFTER KILLING INPUT VARIABLE 12 CONTR 6.71358787 ROUND 8: MAX CORR ( 71.3894899) AFTER KILLING INPUT VARIABLE 9 CONTR 9.22591759 ROUND 9: MAX CORR ( 70.6536096) AFTER KILLING INPUT VARIABLE 13 CONTR 10.2238307 ROUND 10: MAX CORR ( 70.4604961) AFTER KILLING INPUT VARIABLE 3 CONTR 5.22025279 ROUND 11: MAX CORR ( 68.854708) AFTER KILLING INPUT VARIABLE 4 CONTR 14.9569616 ROUND 12: MAX CORR ( 64.8744316) AFTER KILLING INPUT VARIABLE 5 CONTR 23.0711712 LAST REMAINING VARIABLE: 7 total correlation to target: 72.6175668 % total significance: 116.404868 sigma correlations of single variables to target: variable 2: 67.0771234 % , in sigma: 107.52362 variable 3: 52.4507189 % , in sigma: 84.0777136 variable 4: 52.8196861 % , in sigma: 84.6691626 variable 5: 31.8515715 % , in sigma: 51.0575901 variable 6: 51.1477254 % , in sigma: 81.9890346 variable 7: 64.8744316 % , in sigma: 103.992738 variable 8: 57.3946125 % , in sigma: 92.0027007 variable 9: 65.4269219 % , in sigma: 104.878372 variable 10: -27.1201916 % , in sigma: 43.4732594 variable 11: -13.9163753 % , in sigma: 22.3077403 variable 12: -26.2464106 % , in sigma: 42.0726016 variable 13: 26.3839687 % , in sigma: 42.2931051 variable 14: 28.0171861 % , in sigma: 44.911128 variables sorted by significance: 1 most relevant variable 7 corr 64.8744278 , in sigma: 103.992732 2 most relevant variable 5 corr 23.0711708 , in sigma: 36.9827399 3 most relevant variable 4 corr 14.9569616 , in sigma: 23.9757846 4 most relevant variable 3 corr 5.22025299 , in sigma: 8.36798704 5 most relevant variable 13 corr 10.2238312 , in sigma: 16.3886476 6 most relevant variable 9 corr 9.22591782 , in sigma: 14.7890075 7 most relevant variable 12 corr 6.71358776 , in sigma: 10.7617802 8 most relevant variable 10 corr 6.22333574 , in sigma: 9.97591361 9 most relevant variable 14 corr 1.89603484 , in sigma: 3.03931533 10 most relevant variable 2 corr 1.90129042 , in sigma: 3.04773995 11 most relevant variable 8 corr 0.632804871 , in sigma: 1.01437669 12 most relevant variable 11 corr 0.518370628 , in sigma: 0.830940322 13 most relevant variable 6 corr 0.230253145 , in sigma: 0.369092329 global correlations between input variables: variable 2: 99.2746414 % variable 3: 94.5318043 % variable 4: 91.7105225 % variable 5: 95.4663423 % variable 6: 94.6321722 % variable 7: 98.9025472 % variable 8: 91.0075866 % variable 9: 98.9767673 % variable 10: 72.0045393 % variable 11: 59.6019276 % variable 12: 71.2865475 % variable 13: 88.433955 % variable 14: 88.5029972 % significance loss when removing single variables: variable 2: corr = 1.93231866 % , sigma = 3.09747776 variable 3: corr = 13.0800445 % , sigma = 20.9671147 variable 4: corr = 13.6447327 % , sigma = 21.8723013 variable 5: corr = 12.2916519 % , sigma = 19.7033331 variable 6: corr = 0.230253139 % , sigma = 0.369092319 variable 7: corr = 6.48783502 % , sigma = 10.399902 variable 8: corr = 0.537153571 % , sigma = 0.861049096 variable 9: corr = 7.75666253 % , sigma = 12.4338134 variable 10: corr = 5.73124695 % , sigma = 9.18710267 variable 11: corr = 0.511652135 % , sigma = 0.820170679 variable 12: corr = 5.57003748 % , sigma = 8.92868632 variable 13: corr = 5.79301972 % , sigma = 9.2861235 variable 14: corr = 1.8867846 % , sigma = 3.02448734 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 21.113575 sigma out 15 active outputs RANK 2 NODE 2 --> 19.4899902 sigma out 15 active outputs RANK 3 NODE 1 --> 19.4526691 sigma out 15 active outputs RANK 4 NODE 3 --> 19.3712616 sigma out 15 active outputs RANK 5 NODE 6 --> 15.0150843 sigma out 15 active outputs RANK 6 NODE 5 --> 13.9938583 sigma out 15 active outputs RANK 7 NODE 4 --> 12.1662989 sigma out 15 active outputs RANK 8 NODE 8 --> 11.4009857 sigma out 15 active outputs RANK 9 NODE 7 --> 9.98519039 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 19.2794685 sigma in 9act. ( 21.9137497 sig out 1act.) RANK 2 NODE 11 --> 17.4728336 sigma in 9act. ( 22.6944771 sig out 1act.) RANK 3 NODE 10 --> 17.045023 sigma in 9act. ( 16.1004391 sig out 1act.) RANK 4 NODE 3 --> 16.9400921 sigma in 9act. ( 17.9027195 sig out 1act.) RANK 5 NODE 2 --> 15.8968563 sigma in 9act. ( 16.079668 sig out 1act.) RANK 6 NODE 5 --> 14.306963 sigma in 9act. ( 13.1086483 sig out 1act.) RANK 7 NODE 1 --> 12.7204151 sigma in 9act. ( 10.2789841 sig out 1act.) RANK 8 NODE 15 --> 10.8326511 sigma in 9act. ( 10.6086292 sig out 1act.) RANK 9 NODE 6 --> 10.7214155 sigma in 9act. ( 8.32352352 sig out 1act.) RANK 10 NODE 7 --> 9.43721104 sigma in 9act. ( 6.63446045 sig out 1act.) RANK 11 NODE 9 --> 8.63450623 sigma in 9act. ( 10.7679472 sig out 1act.) RANK 12 NODE 8 --> 7.39980698 sigma in 9act. ( 4.98313236 sig out 1act.) RANK 13 NODE 13 --> 5.65406036 sigma in 9act. ( 4.90540838 sig out 1act.) RANK 14 NODE 4 --> 4.09131575 sigma in 9act. ( 5.28339767 sig out 1act.) RANK 15 NODE 12 --> 2.28043389 sigma in 9act. ( 3.22438884 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 22.6944771 sigma out 1act.( 17.4728336 sig in 9act.) RANK 2 NODE 14 --> 21.9137497 sigma out 1act.( 19.2794685 sig in 9act.) RANK 3 NODE 3 --> 17.9027195 sigma out 1act.( 16.9400921 sig in 9act.) RANK 4 NODE 10 --> 16.1004391 sigma out 1act.( 17.045023 sig in 9act.) RANK 5 NODE 2 --> 16.079668 sigma out 1act.( 15.8968563 sig in 9act.) RANK 6 NODE 5 --> 13.1086483 sigma out 1act.( 14.306963 sig in 9act.) RANK 7 NODE 9 --> 10.7679472 sigma out 1act.( 8.63450623 sig in 9act.) RANK 8 NODE 15 --> 10.6086292 sigma out 1act.( 10.8326511 sig in 9act.) RANK 9 NODE 1 --> 10.2789841 sigma out 1act.( 12.7204151 sig in 9act.) RANK 10 NODE 6 --> 8.32352352 sigma out 1act.( 10.7214155 sig in 9act.) RANK 11 NODE 7 --> 6.63446045 sigma out 1act.( 9.43721104 sig in 9act.) RANK 12 NODE 4 --> 5.28339767 sigma out 1act.( 4.09131575 sig in 9act.) RANK 13 NODE 8 --> 4.98313236 sigma out 1act.( 7.39980698 sig in 9act.) RANK 14 NODE 13 --> 4.90540838 sigma out 1act.( 5.65406036 sig in 9act.) RANK 15 NODE 12 --> 3.22438884 sigma out 1act.( 2.28043389 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 50.3986855 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 22.6774368 sigma out 15 active outputs RANK 2 NODE 9 --> 19.9951057 sigma out 15 active outputs RANK 3 NODE 1 --> 19.943224 sigma out 15 active outputs RANK 4 NODE 3 --> 17.4168167 sigma out 15 active outputs RANK 5 NODE 6 --> 13.498312 sigma out 15 active outputs RANK 6 NODE 5 --> 13.4809599 sigma out 15 active outputs RANK 7 NODE 4 --> 12.3819199 sigma out 15 active outputs RANK 8 NODE 7 --> 11.0735369 sigma out 15 active outputs RANK 9 NODE 8 --> 10.804574 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 21.7213478 sigma in 9act. ( 21.9115353 sig out 1act.) RANK 2 NODE 14 --> 15.7899437 sigma in 9act. ( 18.2880325 sig out 1act.) RANK 3 NODE 2 --> 15.7180395 sigma in 9act. ( 16.0215435 sig out 1act.) RANK 4 NODE 5 --> 15.038662 sigma in 9act. ( 11.6746473 sig out 1act.) RANK 5 NODE 10 --> 14.6411352 sigma in 9act. ( 13.8091307 sig out 1act.) RANK 6 NODE 3 --> 13.7823706 sigma in 9act. ( 14.7523642 sig out 1act.) RANK 7 NODE 9 --> 12.6618471 sigma in 9act. ( 10.6706696 sig out 1act.) RANK 8 NODE 15 --> 12.0743132 sigma in 9act. ( 10.1972818 sig out 1act.) RANK 9 NODE 7 --> 10.0819178 sigma in 9act. ( 5.41242981 sig out 1act.) RANK 10 NODE 12 --> 9.76106548 sigma in 9act. ( 4.78726149 sig out 1act.) RANK 11 NODE 1 --> 8.50366116 sigma in 9act. ( 7.43921471 sig out 1act.) RANK 12 NODE 4 --> 8.23728561 sigma in 9act. ( 6.82903767 sig out 1act.) RANK 13 NODE 6 --> 7.4252243 sigma in 9act. ( 6.04540443 sig out 1act.) RANK 14 NODE 8 --> 6.91101265 sigma in 9act. ( 3.77136326 sig out 1act.) RANK 15 NODE 13 --> 5.19545078 sigma in 9act. ( 3.90194964 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 21.9115353 sigma out 1act.( 21.7213478 sig in 9act.) RANK 2 NODE 14 --> 18.2880325 sigma out 1act.( 15.7899437 sig in 9act.) RANK 3 NODE 2 --> 16.0215435 sigma out 1act.( 15.7180395 sig in 9act.) RANK 4 NODE 3 --> 14.7523642 sigma out 1act.( 13.7823706 sig in 9act.) RANK 5 NODE 10 --> 13.8091307 sigma out 1act.( 14.6411352 sig in 9act.) RANK 6 NODE 5 --> 11.6746473 sigma out 1act.( 15.038662 sig in 9act.) RANK 7 NODE 9 --> 10.6706696 sigma out 1act.( 12.6618471 sig in 9act.) RANK 8 NODE 15 --> 10.1972818 sigma out 1act.( 12.0743132 sig in 9act.) RANK 9 NODE 1 --> 7.43921471 sigma out 1act.( 8.50366116 sig in 9act.) RANK 10 NODE 4 --> 6.82903767 sigma out 1act.( 8.23728561 sig in 9act.) RANK 11 NODE 6 --> 6.04540443 sigma out 1act.( 7.4252243 sig in 9act.) RANK 12 NODE 7 --> 5.41242981 sigma out 1act.( 10.0819178 sig in 9act.) RANK 13 NODE 12 --> 4.78726149 sigma out 1act.( 9.76106548 sig in 9act.) RANK 14 NODE 13 --> 3.90194964 sigma out 1act.( 5.19545078 sig in 9act.) RANK 15 NODE 8 --> 3.77136326 sigma out 1act.( 6.91101265 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 45.3201065 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.487254381 *** contribution from regularisation: 0.00350950286 *** contribution from error: -0.490763873 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.536604404 *** contribution from regularisation: 0.0022615674 *** contribution from error: -0.538865983 *********************************************** -----------------> Test sample ENTER BFGS code START -48441.867 0.0628815368 -0.0535569154 EXIT FROM BFGS code FG_START 0. 0.0628815368 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.569310844 *** contribution from regularisation: 0.00171792833 *** contribution from error: -0.571028769 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -51384.8571 0.0628815368 -237.775482 EXIT FROM BFGS code FG_LNSRCH 0. -0.0232373923 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.595984042 *** contribution from regularisation: 0.00242660404 *** contribution from error: -0.598410666 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53792.3263 -0.0232373923 -46.0078621 EXIT FROM BFGS code NEW_X -53792.3263 -0.0232373923 -46.0078621 ENTER BFGS code NEW_X -53792.3263 -0.0232373923 -46.0078621 EXIT FROM BFGS code FG_LNSRCH 0. -0.045866169 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.598041832 *** contribution from regularisation: 0.00246163411 *** contribution from error: -0.600503445 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53978.06 -0.045866169 -8.839324 EXIT FROM BFGS code NEW_X -53978.06 -0.045866169 -8.839324 ENTER BFGS code NEW_X -53978.06 -0.045866169 -8.839324 EXIT FROM BFGS code FG_LNSRCH 0. -0.0547589362 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.599106252 *** contribution from regularisation: 0.0023311479 *** contribution from error: -0.60143739 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54074.1304 -0.0547589362 -12.2388706 EXIT FROM BFGS code NEW_X -54074.1304 -0.0547589362 -12.2388706 ENTER BFGS code NEW_X -54074.1304 -0.0547589362 -12.2388706 EXIT FROM BFGS code FG_LNSRCH 0. -0.0810261145 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.599465787 *** contribution from regularisation: 0.0022098273 *** contribution from error: -0.60167563 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54106.5854 -0.0810261145 13.3037262 EXIT FROM BFGS code NEW_X -54106.5854 -0.0810261145 13.3037262 ENTER BFGS code NEW_X -54106.5854 -0.0810261145 13.3037262 EXIT FROM BFGS code FG_LNSRCH 0. -0.0869138762 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.59965384 *** contribution from regularisation: 0.00216162391 *** contribution from error: -0.601815462 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54123.558 -0.0869138762 -13.8289499 EXIT FROM BFGS code NEW_X -54123.558 -0.0869138762 -13.8289499 ENTER BFGS code NEW_X -54123.558 -0.0869138762 -13.8289499 EXIT FROM BFGS code FG_LNSRCH 0. -0.132637277 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.600087523 *** contribution from regularisation: 0.00195394247 *** contribution from error: -0.602041483 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54162.6983 -0.132637277 -21.063345 EXIT FROM BFGS code NEW_X -54162.6983 -0.132637277 -21.063345 ENTER BFGS code NEW_X -54162.6983 -0.132637277 -21.063345 EXIT FROM BFGS code FG_LNSRCH 0. -0.25688681 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 30.6907558 sigma out 15 active outputs RANK 2 NODE 1 --> 14.9336901 sigma out 15 active outputs RANK 3 NODE 7 --> 14.0703545 sigma out 15 active outputs RANK 4 NODE 4 --> 12.7558794 sigma out 15 active outputs RANK 5 NODE 5 --> 12.7084999 sigma out 15 active outputs RANK 6 NODE 8 --> 11.8062019 sigma out 15 active outputs RANK 7 NODE 9 --> 11.5203333 sigma out 15 active outputs RANK 8 NODE 3 --> 8.89891624 sigma out 15 active outputs RANK 9 NODE 6 --> 7.4272151 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 23.0394096 sigma in 9act. ( 24.9056511 sig out 1act.) RANK 2 NODE 11 --> 20.8489399 sigma in 9act. ( 14.2330446 sig out 1act.) RANK 3 NODE 2 --> 17.2377872 sigma in 9act. ( 15.0015059 sig out 1act.) RANK 4 NODE 15 --> 15.4447212 sigma in 9act. ( 14.994606 sig out 1act.) RANK 5 NODE 4 --> 13.5233679 sigma in 9act. ( 13.3109779 sig out 1act.) RANK 6 NODE 9 --> 13.1457453 sigma in 9act. ( 11.3335476 sig out 1act.) RANK 7 NODE 5 --> 12.0419464 sigma in 9act. ( 12.2519341 sig out 1act.) RANK 8 NODE 14 --> 4.78424788 sigma in 9act. ( 4.10222912 sig out 1act.) RANK 9 NODE 3 --> 4.48640633 sigma in 9act. ( 3.67807865 sig out 1act.) RANK 10 NODE 13 --> 3.96933126 sigma in 9act. ( 3.06791544 sig out 1act.) RANK 11 NODE 1 --> 3.41503716 sigma in 9act. ( 3.40694189 sig out 1act.) RANK 12 NODE 10 --> 3.08505702 sigma in 9act. ( 2.46241546 sig out 1act.) RANK 13 NODE 7 --> 2.3744247 sigma in 9act. ( 0.778918803 sig out 1act.) RANK 14 NODE 6 --> 1.89340663 sigma in 9act. ( 1.5686425 sig out 1act.) RANK 15 NODE 8 --> 1.59379852 sigma in 9act. ( 0.3323856 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 24.9056511 sigma out 1act.( 23.0394096 sig in 9act.) RANK 2 NODE 2 --> 15.0015059 sigma out 1act.( 17.2377872 sig in 9act.) RANK 3 NODE 15 --> 14.994606 sigma out 1act.( 15.4447212 sig in 9act.) RANK 4 NODE 11 --> 14.2330446 sigma out 1act.( 20.8489399 sig in 9act.) RANK 5 NODE 4 --> 13.3109779 sigma out 1act.( 13.5233679 sig in 9act.) RANK 6 NODE 5 --> 12.2519341 sigma out 1act.( 12.0419464 sig in 9act.) RANK 7 NODE 9 --> 11.3335476 sigma out 1act.( 13.1457453 sig in 9act.) RANK 8 NODE 14 --> 4.10222912 sigma out 1act.( 4.78424788 sig in 9act.) RANK 9 NODE 3 --> 3.67807865 sigma out 1act.( 4.48640633 sig in 9act.) RANK 10 NODE 1 --> 3.40694189 sigma out 1act.( 3.41503716 sig in 9act.) RANK 11 NODE 13 --> 3.06791544 sigma out 1act.( 3.96933126 sig in 9act.) RANK 12 NODE 10 --> 2.46241546 sigma out 1act.( 3.08505702 sig in 9act.) RANK 13 NODE 6 --> 1.5686425 sigma out 1act.( 1.89340663 sig in 9act.) RANK 14 NODE 7 --> 0.778918803 sigma out 1act.( 2.3744247 sig in 9act.) RANK 15 NODE 8 --> 0.3323856 sigma out 1act.( 1.59379852 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 42.297905 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.600189328 *** contribution from regularisation: 0.00194059534 *** contribution from error: -0.602129936 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54171.8896 -0.25688681 -36.2980423 EXIT FROM BFGS code NEW_X -54171.8896 -0.25688681 -36.2980423 ENTER BFGS code NEW_X -54171.8896 -0.25688681 -36.2980423 EXIT FROM BFGS code FG_LNSRCH 0. -0.289376885 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.599345863 *** contribution from regularisation: 0.00225868681 *** contribution from error: -0.601604521 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54095.7606 -0.289376885 41.4966621 EXIT FROM BFGS code FG_LNSRCH 0. -0.26345247 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.600178957 *** contribution from regularisation: 0.00222017197 *** contribution from error: -0.602399111 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54170.9511 -0.26345247 -20.6928196 EXIT FROM BFGS code FG_LNSRCH 0. -0.258462757 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.600005925 *** contribution from regularisation: 0.002204641 *** contribution from error: -0.602210581 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54155.3344 -0.258462757 -33.237854 EXIT FROM BFGS code FG_LNSRCH 0. -0.256948084 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.599917531 *** contribution from regularisation: 0.00221587624 *** contribution from error: -0.602133393 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54147.3549 -0.256948084 -37.2668228 EXIT FROM BFGS code FG_LNSRCH 0. -0.256886899 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.599928141 *** contribution from regularisation: 0.00220180745 *** contribution from error: -0.602129936 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54148.3135 -0.256886899 -37.4468803 EXIT FROM BFGS code FG_LNSRCH 0. -0.25688681 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.599917173 *** contribution from regularisation: 0.00221276237 *** contribution from error: -0.602129936 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54147.3243 -0.25688681 -37.538826 EXIT FROM BFGS code FG_LNSRCH 0. -0.25688681 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.59993273 *** contribution from regularisation: 0.00219718483 *** contribution from error: -0.602129936 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54148.7303 -0.25688681 -37.5809364 EXIT FROM BFGS code FG_LNSRCH 0. -0.25688681 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.599918544 *** contribution from regularisation: 0.00221139076 *** contribution from error: -0.602129936 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54147.4481 -0.25688681 -37.6808395 EXIT FROM BFGS code NEW_X -54147.4481 -0.25688681 -37.6808395 ENTER BFGS code NEW_X -54147.4481 -0.25688681 -37.6808395 EXIT FROM BFGS code CONVERGENC -54147.4481 -0.25688681 -37.6808395 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 54.634388 sigma out 15 active outputs RANK 2 NODE 1 --> 26.8564148 sigma out 15 active outputs RANK 3 NODE 7 --> 25.2793179 sigma out 15 active outputs RANK 4 NODE 5 --> 23.0520821 sigma out 15 active outputs RANK 5 NODE 4 --> 22.9063568 sigma out 15 active outputs RANK 6 NODE 8 --> 21.039669 sigma out 15 active outputs RANK 7 NODE 9 --> 20.361084 sigma out 15 active outputs RANK 8 NODE 3 --> 15.8082504 sigma out 15 active outputs RANK 9 NODE 6 --> 13.3870697 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 41.280304 sigma in 9act. ( 46.2274055 sig out 1act.) RANK 2 NODE 11 --> 38.1372948 sigma in 9act. ( 25.6353302 sig out 1act.) RANK 3 NODE 2 --> 31.3023357 sigma in 9act. ( 27.5107288 sig out 1act.) RANK 4 NODE 15 --> 27.4163799 sigma in 9act. ( 27.7750187 sig out 1act.) RANK 5 NODE 4 --> 24.0845928 sigma in 9act. ( 25.1173267 sig out 1act.) RANK 6 NODE 9 --> 23.5954227 sigma in 9act. ( 20.8619652 sig out 1act.) RANK 7 NODE 5 --> 20.6878643 sigma in 9act. ( 22.7267265 sig out 1act.) RANK 8 NODE 14 --> 7.77292252 sigma in 9act. ( 7.58302879 sig out 1act.) RANK 9 NODE 3 --> 7.44455957 sigma in 9act. ( 6.62254095 sig out 1act.) RANK 10 NODE 13 --> 6.34836864 sigma in 9act. ( 5.40713739 sig out 1act.) RANK 11 NODE 1 --> 5.8109293 sigma in 9act. ( 6.23266649 sig out 1act.) RANK 12 NODE 10 --> 4.77790689 sigma in 9act. ( 4.4242301 sig out 1act.) RANK 13 NODE 7 --> 2.90474701 sigma in 9act. ( 1.40775144 sig out 1act.) RANK 14 NODE 6 --> 2.87599802 sigma in 9act. ( 2.65731978 sig out 1act.) RANK 15 NODE 8 --> 1.85131216 sigma in 9act. ( 0.585939229 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 46.2274055 sigma out 1act.( 41.280304 sig in 9act.) RANK 2 NODE 15 --> 27.7750187 sigma out 1act.( 27.4163799 sig in 9act.) RANK 3 NODE 2 --> 27.5107288 sigma out 1act.( 31.3023357 sig in 9act.) RANK 4 NODE 11 --> 25.6353302 sigma out 1act.( 38.1372948 sig in 9act.) RANK 5 NODE 4 --> 25.1173267 sigma out 1act.( 24.0845928 sig in 9act.) RANK 6 NODE 5 --> 22.7267265 sigma out 1act.( 20.6878643 sig in 9act.) RANK 7 NODE 9 --> 20.8619652 sigma out 1act.( 23.5954227 sig in 9act.) RANK 8 NODE 14 --> 7.58302879 sigma out 1act.( 7.77292252 sig in 9act.) RANK 9 NODE 3 --> 6.62254095 sigma out 1act.( 7.44455957 sig in 9act.) RANK 10 NODE 1 --> 6.23266649 sigma out 1act.( 5.8109293 sig in 9act.) RANK 11 NODE 13 --> 5.40713739 sigma out 1act.( 6.34836864 sig in 9act.) RANK 12 NODE 10 --> 4.4242301 sigma out 1act.( 4.77790689 sig in 9act.) RANK 13 NODE 6 --> 2.65731978 sigma out 1act.( 2.87599802 sig in 9act.) RANK 14 NODE 7 --> 1.40775144 sigma out 1act.( 2.90474701 sig in 9act.) RANK 15 NODE 8 --> 0.585939229 sigma out 1act.( 1.85131216 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 78.1245499 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.599936485 *** contribution from regularisation: 0.00219346932 *** contribution from error: -0.602129936 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done