NNInput NNInputs_125.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= 40550 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 = 10106 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 10106 Chosen entries: 10106 Signal fraction: 1 Background fraction: 0.331954 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 10106 Entries to split: 10106 Test with : 5053 Train with : 5053 ********************************************* * 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= 10106 for Signal Prepared event 0 for Signal with 10106 events ====Entry 0 Variable Ht : 134.516 Variable LepAPt : 22.169 Variable LepBPt : 11.6779 Variable MetSigLeptonsJets : 7.5403 Variable MetSpec : 63.5295 Variable SumEtLeptonsJets : 70.9861 Variable VSumJetLeptonsPt : 69.1953 Variable addEt : 97.3773 Variable dPhiLepSumMet : 3.00927 Variable dPhiLeptons : 0.396753 Variable dRLeptons : 0.582579 Variable lep1_E : 23.416 Variable lep2_E : 15.2206 ===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 = 2125 Ht = 134.516 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.1694 LepAPt = 22.169 LepBEt = 11.6784 LepBPt = 11.6779 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 63.5295 MetDelPhi = 2.87312 MetSig = 5.97772 MetSigLeptonsJets = 7.5403 MetSpec = 63.5295 Mjj = 0 MostCentralJetEta = -0.253209 MtllMet = 100.691 Njets = 1 SB = 0 SumEt = 112.948 SumEtJets = 0 SumEtLeptonsJets = 70.9861 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 69.1953 addEt = 97.3773 dPhiLepSumMet = 3.00927 dPhiLeptons = 0.396753 dRLeptons = 0.582579 diltype = 24 dimass = 9.38801 event = 377 jet1_Et = 37.1391 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.416 lep2_E = 15.2206 rand = 0.999742 run = 235224 weight = 9.0675e-07 ===Show End Prepared event 10000 for Signal with 10106 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= 30444 for Background Prepared event 0 for Background with 30444 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 = 1.27373 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 30444 events Prepared event 20000 for Background with 30444 events Prepared event 30000 for Background with 30444 events Warning: found 973 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 40550 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 973 negative weights. Signal fraction: 61.762722 % ------------------------------ 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 55.9230614 61.9729233 64.1557541 66.0747604 67.7670135 69.4270935 70.6923752 71.7503128 73.1817322 74.4874573 75.8959198 77.4058075 78.710968 79.6682434 80.8764496 82.1879654 83.3308258 84.4593658 85.4156723 86.5285645 87.599556 88.5857697 89.8112869 90.7773743 91.7287064 92.7139511 93.6324539 94.5212021 95.3378754 96.2600403 97.1831741 98.0670013 98.9006653 99.8147583 100.753113 101.429932 102.281181 103.043564 103.967056 104.760788 105.505936 106.344475 107.286324 108.131744 108.853073 109.71405 110.481735 111.420418 112.305176 112.999115 113.67263 114.462433 115.324997 116.365707 117.215225 117.959358 118.843712 119.712753 120.538132 121.45903 122.359787 123.540115 124.726303 125.836182 127.070282 128.307297 129.856369 131.230774 132.963531 134.302658 135.843246 137.130585 138.546967 140.031708 141.416092 142.98674 144.576035 146.255676 148.452896 150.235626 152.332672 154.824799 156.895599 159.100189 161.694061 164.603729 167.247101 170.558517 174.556564 178.512146 183.108032 188.316071 193.322388 200.179382 207.042755 215.935806 226.671265 240.625778 260.99527 301.245422 776.88446 ------------------------------ Transdef: Tab for variable 3 20.0021973 20.431488 20.7866058 21.1661377 21.4496155 21.7949562 22.1345177 22.406271 22.6959076 22.9751549 23.2213898 23.47929 23.730032 24.0547943 24.3284264 24.5672607 24.8194828 25.1065254 25.3449383 25.6017723 25.8574944 26.1074047 26.3271713 26.5806503 26.764986 27.0194931 27.2508125 27.475708 27.7108631 27.9298439 28.1329613 28.3455582 28.5758266 28.7935219 29.0123863 29.2875996 29.4896812 29.6709709 29.8544044 30.0362949 30.249279 30.4894257 30.7263451 30.9582977 31.1970272 31.3627701 31.566227 31.7760696 31.9769096 32.1749039 32.3718033 32.6304626 32.872654 33.1556702 33.3928947 33.6651306 33.9141083 34.1663132 34.4095001 34.6896515 34.9849472 35.2151947 35.4705505 35.7781067 36.0785675 36.3620987 36.6862106 36.9984055 37.316391 37.6542702 37.9897766 38.3084145 38.6797409 39.052536 39.350769 39.7446098 40.0973206 40.6012154 41.0475807 41.56987 42.0711288 42.6005783 43.0974121 43.6278992 44.2529068 44.7930527 45.5253258 46.1783714 47.0039902 47.8752747 48.7607422 49.7181015 50.8388405 52.2075729 53.7964554 55.6774292 57.7738876 61.1945801 66.1839905 74.8480453 151.296204 ------------------------------ Transdef: Tab for variable 4 10.0007381 10.18262 10.3477774 10.4843388 10.6499023 10.8324642 10.9813538 11.1466417 11.2822237 11.4185219 11.6038361 11.7453537 11.9126406 12.060215 12.202837 12.3922939 12.5415592 12.6738701 12.8408957 12.9857635 13.178545 13.3673449 13.5217896 13.7092667 13.8616199 14.0170164 14.2124271 14.3920116 14.5210333 14.7118597 14.8911495 15.0670471 15.2113762 15.358861 15.537077 15.7205477 15.8747072 16.0665398 16.2738953 16.4641991 16.6566029 16.8413105 17.0558777 17.2265549 17.391201 17.5744572 17.7318497 17.8916721 18.0695763 18.2405052 18.4526596 18.6463394 18.8550987 19.0282364 19.2340717 19.4823456 19.7268333 19.9158821 20.0988808 20.2581654 20.4078979 20.5744247 20.7144127 20.901741 21.0793133 21.2563744 21.4759521 21.6719456 21.8688774 22.0681114 22.2647247 22.4650669 22.6834373 22.8829384 23.0836601 23.3494263 23.5838699 23.8125191 24.0426216 24.3163357 24.5636063 24.8080673 25.0989418 25.3731823 25.6580429 25.9660988 26.3085976 26.6554375 27.0037708 27.4337158 27.8528023 28.3551826 28.8930817 29.5581627 30.3122864 31.2204876 32.0569153 33.2090454 35.0967484 39.0394516 68.4152985 ------------------------------ Transdef: Tab for variable 5 1.78644204 2.59162378 2.84253454 3.03222919 3.16281199 3.30266857 3.44560671 3.55526876 3.65256691 3.75916862 3.86704445 3.94728541 4.0250206 4.096982 4.17372131 4.24854851 4.31604481 4.38820982 4.44497585 4.51609135 4.58135939 4.65006971 4.71850681 4.78014278 4.85036898 4.91845655 4.99562454 5.06323242 5.14300537 5.20378923 5.26214266 5.31565857 5.36959076 5.43724442 5.50518131 5.56704903 5.62547255 5.67298031 5.72751904 5.78838158 5.84392738 5.89125347 5.94639397 6.00250149 6.06066656 6.11059713 6.15804577 6.21747398 6.2709465 6.32431412 6.37475872 6.4197793 6.47738314 6.52239513 6.56854916 6.6269722 6.66697025 6.70727921 6.75401735 6.80088043 6.83936882 6.87763309 6.91590929 6.96510506 7.00719595 7.05458641 7.09985733 7.14959574 7.18402529 7.22848368 7.27563667 7.31400299 7.36003351 7.40169239 7.44476223 7.48913956 7.53460979 7.58734131 7.62981224 7.68718719 7.73295116 7.79341412 7.85004139 7.89325714 7.9567585 8.01736069 8.07561493 8.14006233 8.20977402 8.292346 8.38564491 8.47777939 8.59539604 8.70474243 8.83462334 8.98859215 9.14758968 9.41889954 9.77352715 10.3203001 15.0165958 ------------------------------ Transdef: Tab for variable 6 25.0019188 25.3572731 25.6948166 26.0109215 26.4490395 26.8089123 27.1993103 27.5718193 28.0883484 28.4920731 28.9759102 29.5447235 30.0646992 30.6524372 31.2924423 31.7867661 32.376915 32.9840698 33.5053864 34.0714073 34.7152939 35.2026367 35.7213974 36.2637558 36.7819977 37.2985611 37.8502464 38.4189529 38.9258423 39.3425713 39.9095383 40.4102554 40.8467178 41.3355026 41.8311501 42.2547951 42.6591721 43.1162186 43.5564575 44.0276566 44.3847198 44.8105316 45.2542496 45.6734581 46.0444756 46.3896866 46.8666382 47.3172302 47.7368851 48.1372375 48.5358582 48.9126205 49.3255997 49.6589508 50.0983505 50.4908333 50.9558411 51.4251633 51.7965012 52.1781654 52.5946732 53.0827484 53.5655899 53.9349365 54.3516579 54.7989922 55.1545486 55.5895081 56.0460281 56.5005188 56.9083633 57.3896523 57.8355637 58.3743744 58.7788925 59.2392731 59.7931976 60.3572998 60.8594437 61.4883881 62.1026764 62.7710495 63.4201202 64.0426102 64.8031921 65.6174164 66.5889359 67.6180725 68.403511 69.5891876 70.6612549 72.202652 73.8052063 75.6529694 77.4872437 80.0769501 83.1131287 87.0739441 92.5716248 103.803894 203.398682 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.1347427 34.6219063 35.6675148 36.3974762 37.2516289 37.9322319 38.640316 39.3333282 39.9343414 40.3531647 41.0163269 41.6591187 42.102066 42.5963554 42.9832764 43.6384125 44.1354828 44.6070137 45.1847229 45.5947342 46.0794144 46.5048752 47.0049286 47.5936012 48.2242966 48.617485 49.2199745 49.6006927 49.9703979 50.5435219 51.0177612 51.4862938 51.9347343 52.4129066 52.8741493 53.3797455 53.8861046 54.3420944 54.8104401 55.3511772 55.7492676 56.2235336 56.72258 57.2472496 57.7526474 58.3043404 58.8286819 59.3019562 59.8143005 60.3800735 60.8985634 61.5376587 62.1424141 62.721489 63.4780388 64.2368927 64.937973 65.7947235 66.7253113 67.706543 68.6696167 69.597168 70.5807114 71.4708786 72.7489395 73.731163 74.8136444 75.9111404 77.0332794 78.1040649 79.3126526 80.4067535 81.8445206 83.3634796 85.2319946 87.2083435 88.7721939 90.4953003 92.3921204 94.1702347 96.3281555 98.4717407 100.475906 102.97081 105.579178 108.423332 111.705841 114.651756 118.615005 122.269485 127.150482 132.174072 138.989502 144.963257 151.370193 159.434875 169.226944 186.377197 215.440445 520.010315 ------------------------------ Transdef: Tab for variable 8 2.80723453 21.3847275 27.081274 29.6631355 31.0388165 32.1092224 32.9994698 33.8361931 34.6327667 35.1745148 35.7336502 36.3000565 36.769371 37.2325401 37.6860275 38.1278763 38.5296974 39.079361 39.4224091 39.780014 40.1952209 40.6147232 41.0131989 41.4185562 41.7964096 42.1881943 42.496666 42.8869553 43.2338028 43.6495056 44.0257874 44.3919983 44.7378769 45.0567627 45.4319191 45.8055077 46.2186432 46.6485252 47.0459213 47.3730469 47.7478638 48.052948 48.3332367 48.7647705 49.1205482 49.4071121 49.690094 50.0852814 50.4794006 50.8033295 51.1466141 51.4925613 51.8460693 52.2431641 52.5808029 52.9740067 53.2750206 53.6750946 54.0207214 54.3397369 54.772049 55.1414108 55.5144653 55.833931 56.1810913 56.6064911 57.0101814 57.4542427 57.8048935 58.2485847 58.7341385 59.1298828 59.6150818 59.9724159 60.4199028 60.9546127 61.4813766 62.0668259 62.532692 63.1717758 63.6916733 64.3529358 65.0367813 65.7307739 66.5545502 67.4946442 68.4972839 69.6014099 70.704155 72.0980682 73.3651199 74.6517487 76.1368942 77.7928925 80.0960083 82.8956223 87.0894928 90.9265747 97.4090805 112.461884 289.322327 ------------------------------ Transdef: Tab for variable 9 55.9230614 61.5387802 63.5613937 65.1934204 66.5822144 67.7164612 69.0521011 70.1154633 70.9700317 71.9631958 72.9638519 74.0840988 75.1165924 76.3276672 77.3607483 78.3068466 79.2001801 79.9948578 80.9752426 81.9840851 82.8158112 83.7077332 84.4187393 85.1242065 85.7484131 86.6233368 87.4870682 88.3042831 89.0910492 90.0079346 90.7196198 91.5749359 92.2381973 93.1007538 93.7650909 94.3952789 95.0514832 95.6961136 96.3470001 97.0693665 97.8324356 98.4375153 99.0596771 99.7816544 100.443298 101.010078 101.675262 102.310432 102.877899 103.469757 104.180008 104.756699 105.309601 105.954674 106.533546 107.168236 107.830994 108.450089 109.034912 109.67849 110.310959 110.944412 111.639267 112.2687 112.804008 113.354759 113.885185 114.544083 115.214439 115.830826 116.484756 117.16153 117.685562 118.227051 118.91217 119.56501 120.198181 120.894112 121.74353 122.506683 123.331512 124.202301 125.163681 126.143906 127.220764 128.290985 129.651459 131.120285 132.650604 134.289307 136.506927 138.415405 140.636353 142.900848 145.92804 149.749832 155.062927 162.028809 170.599915 186.738174 388.558624 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.897966027 1.16222692 1.32577753 1.44439292 1.56393743 1.66060257 1.74944758 1.8236897 1.90838122 1.98615134 2.04960346 2.10326958 2.15917587 2.21234989 2.25867128 2.30038381 2.33943892 2.38007855 2.41701698 2.44999218 2.47939968 2.50438786 2.52907324 2.55670834 2.57989693 2.606987 2.6274631 2.65041494 2.66697836 2.6921258 2.71244645 2.73302412 2.75192642 2.76904368 2.78540993 2.80076027 2.81479168 2.82756615 2.83988142 2.85341454 2.86323977 2.87515497 2.88457918 2.89525199 2.90582609 2.9148016 2.9222157 2.93089652 2.93946934 2.94775295 2.95614433 2.96260118 2.96917343 2.97544169 2.98180437 2.98861217 2.99394155 2.99863744 3.00323534 3.00884104 3.01309347 3.01797247 3.02275658 3.02741575 3.03193855 3.03591871 3.03961039 3.04378319 3.04822135 3.05152369 3.05499887 3.05937672 3.06333613 3.06682348 3.07086658 3.07428026 3.07745552 3.08088231 3.08362055 3.0864501 3.08991218 3.09318376 3.09626722 3.09880066 3.101511 3.10430837 3.10750031 3.1101191 3.11263561 3.11519146 3.11799335 3.12092066 3.12376928 3.12621093 3.12877536 3.13157415 3.13398933 3.13662767 3.13931465 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.71661377E-05 0.00855624676 0.0195701122 0.0271630287 0.0356332064 0.0437800884 0.0529918075 0.060680747 0.0701781511 0.0788579583 0.0854557157 0.0927619934 0.0996259451 0.105348349 0.111678898 0.118070126 0.125288635 0.131969392 0.13909927 0.145057693 0.151603729 0.158438921 0.164612532 0.171742231 0.177105784 0.182193458 0.188112974 0.19408083 0.199400753 0.204266995 0.208927512 0.213802397 0.218388736 0.222489178 0.227281749 0.232199788 0.236443341 0.240360379 0.244189084 0.249097586 0.253643245 0.258318305 0.263685226 0.268669128 0.273905993 0.278847009 0.282503366 0.287215322 0.291469812 0.296484888 0.300834656 0.305427551 0.311112702 0.317269087 0.321675003 0.32738018 0.33258152 0.338430643 0.343098164 0.348694265 0.353643715 0.359418273 0.364235401 0.369547427 0.37548399 0.381234914 0.387347341 0.394049644 0.399791718 0.405526042 0.411394 0.416927159 0.422647238 0.429223537 0.436449766 0.443353057 0.449306875 0.455388427 0.462645352 0.469806552 0.47694999 0.484612882 0.492682934 0.500816584 0.50845921 0.517946005 0.525929689 0.536196232 0.547421813 0.55789876 0.571902573 0.582380712 0.596889615 0.617559731 0.63422066 0.657416523 0.685401082 0.713866651 0.76000458 0.830023825 1.12525487 ------------------------------ Transdef: Tab for variable 12 0.20002158 0.208113119 0.215314895 0.223774463 0.230192244 0.237058938 0.244879663 0.250831038 0.257318735 0.264305502 0.271148741 0.27663511 0.282136679 0.288278818 0.293281525 0.299588501 0.304566383 0.309428036 0.315367877 0.321531296 0.327039629 0.331195116 0.335477024 0.340236425 0.344909132 0.349705517 0.353983521 0.358727902 0.363338411 0.366755724 0.371529222 0.376224756 0.380489141 0.384921163 0.389523387 0.394762576 0.398761928 0.403139532 0.406576395 0.411081642 0.415516257 0.419444174 0.423508465 0.427734911 0.431660742 0.435682058 0.439734191 0.44441098 0.448061228 0.452286422 0.456483126 0.460406721 0.465275288 0.469666272 0.47411257 0.478223681 0.482620478 0.486718118 0.491231441 0.494995713 0.499724358 0.503950477 0.50837785 0.512825429 0.51770556 0.522195399 0.526738822 0.531450272 0.536218703 0.541379333 0.546445251 0.550754309 0.554663301 0.561063528 0.566973686 0.572996974 0.578277051 0.584153473 0.58957541 0.595971644 0.602628589 0.608789563 0.616432786 0.623493493 0.632622361 0.640302718 0.646927178 0.655460954 0.664070845 0.674501598 0.685831428 0.696258366 0.709525704 0.722162843 0.741988719 0.760804296 0.786907256 0.813912153 0.852425456 0.909819961 1.12845647 ------------------------------ Transdef: Tab for variable 13 20.1316376 21.2027473 21.8990726 22.5015678 22.9791527 23.4487076 23.8834267 24.3325195 24.737957 25.1219292 25.4577675 25.8695602 26.1363506 26.4698391 26.7929363 27.1401482 27.4314308 27.7041454 28.0283375 28.3475418 28.6240349 28.8961506 29.1696434 29.4593811 29.7376099 29.974184 30.248951 30.4948864 30.7752495 31.0325565 31.2753239 31.4961243 31.7319565 31.9755058 32.23629 32.4659805 32.7297935 32.984993 33.2376404 33.4914436 33.7454605 33.9891052 34.3083229 34.5579567 34.8386993 35.095871 35.3979492 35.6752129 35.9596748 36.2890472 36.5383606 36.8785973 37.1333389 37.4691277 37.7989731 38.1523819 38.4148331 38.6743164 38.9483986 39.2901154 39.6710587 40.0520096 40.3553276 40.6623001 40.9698334 41.3733749 41.7818985 42.1627159 42.5293045 42.9172592 43.3829346 43.8273277 44.2739182 44.6767044 45.2127609 45.6918793 46.1277618 46.6618118 47.174408 47.7894897 48.3755226 48.9945717 49.6904182 50.4310913 51.1738586 51.8001518 52.8030167 53.6874313 54.6468773 55.6119385 56.7393227 57.9949036 59.3739624 61.04776 63.2843628 65.1724396 68.17453 71.6652222 77.1138611 88.724617 201.326797 ------------------------------ Transdef: Tab for variable 14 10.0065498 10.601635 10.9556694 11.369957 11.6573715 11.8530273 12.1154099 12.3406639 12.6171799 12.8433962 13.0266237 13.2502766 13.4960718 13.708519 13.9171982 14.1574106 14.3375969 14.5161066 14.7571125 14.9630795 15.1498585 15.312294 15.4871798 15.6455622 15.8510303 16.0039845 16.1796532 16.3829041 16.5661163 16.7364464 16.9429169 17.1672707 17.3443279 17.5621719 17.7824707 17.9797382 18.1871986 18.4099998 18.5992775 18.7924061 18.9961586 19.1877747 19.4113235 19.6002369 19.7945061 20.0402145 20.2532196 20.4384899 20.6152096 20.7979355 21.0162487 21.2739182 21.4939613 21.7009239 21.9177055 22.1056404 22.3205261 22.5260849 22.7402344 22.9234848 23.147049 23.4002342 23.6559029 23.8184319 24.048317 24.2504005 24.462471 24.7352848 24.967453 25.2799187 25.521698 25.7903118 26.0100174 26.2447586 26.5242329 26.8633118 27.1496143 27.4535904 27.7044373 28.015377 28.3826046 28.7874298 29.1995354 29.5890541 29.991127 30.4606838 30.9259758 31.3242722 31.8105164 32.3918991 33.0008583 33.6341438 34.3020897 35.1938248 36.1530113 37.1922913 38.6702042 40.4625893 43.0687904 47.6467133 84.6619415 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 32.4 16.7 8.7 6.6 21.3 28.5 13.2 25.1 -20.4 -5.4 -7.4 13.7 5.7 2 32.4 100.0 60.2 43.2 16.8 60.1 93.9 58.6 86.3 -46.8 -20.5 -36.1 54.9 37.3 3 16.7 60.2 100.0 23.6 -3.6 26.0 62.5 43.0 67.9 -11.0 -21.1 -40.8 91.2 19.9 4 8.7 43.2 23.6 100.0 1.3 22.2 43.8 33.4 50.9 -4.5 -27.0 -45.2 22.4 89.7 5 6.6 16.8 -3.6 1.3 100.0 82.3 -13.5 47.5 49.2 36.6 -0.1 1.5 -3.9 0.6 6 21.3 60.1 26.0 22.2 82.3 100.0 34.6 69.6 78.7 6.0 -10.2 -16.0 23.3 18.7 7 28.5 93.9 62.5 43.8 -13.5 34.6 100.0 49.1 71.1 -56.0 -20.6 -37.3 57.1 37.9 8 13.2 58.6 43.0 33.4 47.5 69.6 49.1 100.0 74.0 3.2 -17.8 -29.0 39.3 28.9 9 25.1 86.3 67.9 50.9 49.2 78.7 71.1 74.0 100.0 -12.1 -23.1 -41.1 62.1 44.3 10 -20.4 -46.8 -11.0 -4.5 36.6 6.0 -56.0 3.2 -12.1 100.0 2.4 5.1 -9.3 -2.9 11 -5.4 -20.5 -21.1 -27.0 -0.1 -10.2 -20.6 -17.8 -23.1 2.4 100.0 56.4 -19.7 -26.3 12 -7.4 -36.1 -40.8 -45.2 1.5 -16.0 -37.3 -29.0 -41.1 5.1 56.4 100.0 -38.1 -38.3 13 13.7 54.9 91.2 22.4 -3.9 23.3 57.1 39.3 62.1 -9.3 -19.7 -38.1 100.0 27.6 14 5.7 37.3 19.9 89.7 0.6 18.7 37.9 28.9 44.3 -2.9 -26.3 -38.3 27.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 65.1307577 TOTAL CORRELATION OF ALL VARIABLES 36.257526 ROUND 1: MAX CORR ( 36.2539381) AFTER KILLING INPUT VARIABLE 5 CONTR 0.510064367 ROUND 2: MAX CORR ( 36.2280491) AFTER KILLING INPUT VARIABLE 11 CONTR 1.36985056 ROUND 3: MAX CORR ( 36.2022455) AFTER KILLING INPUT VARIABLE 12 CONTR 1.36709971 ROUND 4: MAX CORR ( 36.1567698) AFTER KILLING INPUT VARIABLE 8 CONTR 1.81399503 ROUND 5: MAX CORR ( 36.1101925) AFTER KILLING INPUT VARIABLE 13 CONTR 1.83466569 ROUND 6: MAX CORR ( 35.9247713) AFTER KILLING INPUT VARIABLE 14 CONTR 3.65469661 ROUND 7: MAX CORR ( 35.58533) AFTER KILLING INPUT VARIABLE 10 CONTR 4.92681243 ROUND 8: MAX CORR ( 35.2723212) AFTER KILLING INPUT VARIABLE 4 CONTR 4.70946632 ROUND 9: MAX CORR ( 35.0789487) AFTER KILLING INPUT VARIABLE 6 CONTR 3.68836013 ROUND 10: MAX CORR ( 34.5718479) AFTER KILLING INPUT VARIABLE 3 CONTR 5.94306071 ROUND 11: MAX CORR ( 32.8852376) AFTER KILLING INPUT VARIABLE 7 CONTR 10.666481 ROUND 12: MAX CORR ( 32.4041097) AFTER KILLING INPUT VARIABLE 9 CONTR 5.60468757 LAST REMAINING VARIABLE: 2 total correlation to target: 36.257526 % total significance: 32.8794136 sigma correlations of single variables to target: variable 2: 32.4041097 % , in sigma: 29.38502 variable 3: 16.740021 % , in sigma: 15.1803539 variable 4: 8.7472207 % , in sigma: 7.93224247 variable 5: 6.63068511 % , in sigma: 6.01290442 variable 6: 21.3447533 % , in sigma: 19.3560634 variable 7: 28.5020989 % , in sigma: 25.8465594 variable 8: 13.2420649 % , in sigma: 12.0083022 variable 9: 25.1145871 % , in sigma: 22.7746619 variable 10: -20.3679143 % , in sigma: 18.4702364 variable 11: -5.39782314 % , in sigma: 4.89490815 variable 12: -7.4000897 % , in sigma: 6.71062361 variable 13: 13.6503021 % , in sigma: 12.3785039 variable 14: 5.66901346 % , in sigma: 5.14083168 variables sorted by significance: 1 most relevant variable 2 corr 32.40411 , in sigma: 29.3850202 2 most relevant variable 9 corr 5.60468769 , in sigma: 5.08249914 3 most relevant variable 7 corr 10.666481 , in sigma: 9.67268537 4 most relevant variable 3 corr 5.94306087 , in sigma: 5.38934611 5 most relevant variable 6 corr 3.68836021 , in sigma: 3.34471583 6 most relevant variable 4 corr 4.70946646 , in sigma: 4.27068564 7 most relevant variable 10 corr 4.92681265 , in sigma: 4.46778169 8 most relevant variable 14 corr 3.6546967 , in sigma: 3.31418874 9 most relevant variable 13 corr 1.83466566 , in sigma: 1.66372992 10 most relevant variable 8 corr 1.813995 , in sigma: 1.64498515 11 most relevant variable 12 corr 1.36709976 , in sigma: 1.23972713 12 most relevant variable 11 corr 1.36985052 , in sigma: 1.24222159 13 most relevant variable 5 corr 0.510064363 , in sigma: 0.462541685 global correlations between input variables: variable 2: 99.2532683 % variable 3: 96.208755 % variable 4: 94.3179891 % variable 5: 96.4034322 % variable 6: 95.3380261 % variable 7: 98.8854501 % variable 8: 83.5741321 % variable 9: 98.9213191 % variable 10: 75.3404628 % variable 11: 57.261735 % variable 12: 69.3291946 % variable 13: 93.2816065 % variable 14: 92.2861399 % significance loss when removing single variables: variable 2: corr = 11.9125222 % , sigma = 10.802633 variable 3: corr = 6.69437069 % , sigma = 6.07065641 variable 4: corr = 4.85999852 % , sigma = 4.40719263 variable 5: corr = 0.510064367 % , sigma = 0.462541689 variable 6: corr = 5.12558836 % , sigma = 4.64803748 variable 7: corr = 7.05266854 % , sigma = 6.39557166 variable 8: corr = 1.78060383 % , sigma = 1.61470504 variable 9: corr = 8.16883755 % , sigma = 7.40774725 variable 10: corr = 4.57030344 % , sigma = 4.14448843 variable 11: corr = 1.37331813 % , sigma = 1.24536613 variable 12: corr = 1.86770992 % , sigma = 1.69369546 variable 13: corr = 1.69777094 % , sigma = 1.53958968 variable 14: corr = 2.55176349 % , sigma = 2.31401578 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 1 --> 10.4634857 sigma out 15 active outputs RANK 2 NODE 7 --> 9.91121101 sigma out 15 active outputs RANK 3 NODE 5 --> 9.9029398 sigma out 15 active outputs RANK 4 NODE 4 --> 9.38229847 sigma out 15 active outputs RANK 5 NODE 6 --> 8.82802296 sigma out 15 active outputs RANK 6 NODE 2 --> 8.51877785 sigma out 15 active outputs RANK 7 NODE 8 --> 8.14416981 sigma out 15 active outputs RANK 8 NODE 3 --> 7.39710188 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 12.8279791 sigma in 8act. ( 13.8164511 sig out 1act.) RANK 2 NODE 9 --> 11.1215944 sigma in 8act. ( 10.8243132 sig out 1act.) RANK 3 NODE 7 --> 9.31599903 sigma in 8act. ( 9.8470602 sig out 1act.) RANK 4 NODE 4 --> 8.46892452 sigma in 8act. ( 9.47496319 sig out 1act.) RANK 5 NODE 2 --> 6.63246202 sigma in 8act. ( 6.63059855 sig out 1act.) RANK 6 NODE 8 --> 5.6882906 sigma in 8act. ( 6.22342634 sig out 1act.) RANK 7 NODE 15 --> 5.67116499 sigma in 8act. ( 6.01314449 sig out 1act.) RANK 8 NODE 3 --> 5.27540588 sigma in 8act. ( 4.22613049 sig out 1act.) RANK 9 NODE 10 --> 4.49877024 sigma in 8act. ( 4.59028053 sig out 1act.) RANK 10 NODE 1 --> 4.41744995 sigma in 8act. ( 4.32355595 sig out 1act.) RANK 11 NODE 12 --> 3.92039108 sigma in 8act. ( 4.23187828 sig out 1act.) RANK 12 NODE 5 --> 3.86264133 sigma in 8act. ( 3.97558022 sig out 1act.) RANK 13 NODE 6 --> 2.37282753 sigma in 8act. ( 2.19575095 sig out 1act.) RANK 14 NODE 11 --> 2.02894878 sigma in 8act. ( 1.80166173 sig out 1act.) RANK 15 NODE 14 --> 1.57343817 sigma in 8act. ( 0.970967293 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 13.8164511 sigma out 1act.( 12.8279791 sig in 8act.) RANK 2 NODE 9 --> 10.8243132 sigma out 1act.( 11.1215944 sig in 8act.) RANK 3 NODE 7 --> 9.8470602 sigma out 1act.( 9.31599903 sig in 8act.) RANK 4 NODE 4 --> 9.47496319 sigma out 1act.( 8.46892452 sig in 8act.) RANK 5 NODE 2 --> 6.63059855 sigma out 1act.( 6.63246202 sig in 8act.) RANK 6 NODE 8 --> 6.22342634 sigma out 1act.( 5.6882906 sig in 8act.) RANK 7 NODE 15 --> 6.01314449 sigma out 1act.( 5.67116499 sig in 8act.) RANK 8 NODE 10 --> 4.59028053 sigma out 1act.( 4.49877024 sig in 8act.) RANK 9 NODE 1 --> 4.32355595 sigma out 1act.( 4.41744995 sig in 8act.) RANK 10 NODE 12 --> 4.23187828 sigma out 1act.( 3.92039108 sig in 8act.) RANK 11 NODE 3 --> 4.22613049 sigma out 1act.( 5.27540588 sig in 8act.) RANK 12 NODE 5 --> 3.97558022 sigma out 1act.( 3.86264133 sig in 8act.) RANK 13 NODE 6 --> 2.19575095 sigma out 1act.( 2.37282753 sig in 8act.) RANK 14 NODE 11 --> 1.80166173 sigma out 1act.( 2.02894878 sig in 8act.) RANK 15 NODE 14 --> 0.970967293 sigma out 1act.( 1.57343817 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.7208042 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 13.0470724 sigma out 15 active outputs RANK 2 NODE 7 --> 12.4655533 sigma out 15 active outputs RANK 3 NODE 1 --> 12.4599581 sigma out 15 active outputs RANK 4 NODE 5 --> 12.3874397 sigma out 15 active outputs RANK 5 NODE 2 --> 11.1190195 sigma out 15 active outputs RANK 6 NODE 8 --> 10.3770599 sigma out 15 active outputs RANK 7 NODE 6 --> 9.16664028 sigma out 15 active outputs RANK 8 NODE 3 --> 8.65391636 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 12.932889 sigma in 8act. ( 11.5838909 sig out 1act.) RANK 2 NODE 13 --> 12.3148937 sigma in 8act. ( 13.538806 sig out 1act.) RANK 3 NODE 4 --> 11.7392645 sigma in 8act. ( 10.3536091 sig out 1act.) RANK 4 NODE 7 --> 10.3509817 sigma in 8act. ( 9.40755749 sig out 1act.) RANK 5 NODE 2 --> 9.5907917 sigma in 8act. ( 6.47855616 sig out 1act.) RANK 6 NODE 15 --> 7.58460951 sigma in 8act. ( 6.26098204 sig out 1act.) RANK 7 NODE 8 --> 7.18827009 sigma in 8act. ( 5.59972 sig out 1act.) RANK 8 NODE 3 --> 6.92974377 sigma in 8act. ( 5.04445791 sig out 1act.) RANK 9 NODE 1 --> 6.5863452 sigma in 8act. ( 3.84853745 sig out 1act.) RANK 10 NODE 10 --> 6.16508341 sigma in 8act. ( 4.24521923 sig out 1act.) RANK 11 NODE 12 --> 6.01527834 sigma in 8act. ( 4.57349253 sig out 1act.) RANK 12 NODE 5 --> 5.70505285 sigma in 8act. ( 4.13857317 sig out 1act.) RANK 13 NODE 11 --> 5.23190212 sigma in 8act. ( 1.59093583 sig out 1act.) RANK 14 NODE 6 --> 5.18389082 sigma in 8act. ( 2.69254351 sig out 1act.) RANK 15 NODE 14 --> 2.6669054 sigma in 8act. ( 0.240799159 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 13.538806 sigma out 1act.( 12.3148937 sig in 8act.) RANK 2 NODE 9 --> 11.5838909 sigma out 1act.( 12.932889 sig in 8act.) RANK 3 NODE 4 --> 10.3536091 sigma out 1act.( 11.7392645 sig in 8act.) RANK 4 NODE 7 --> 9.40755749 sigma out 1act.( 10.3509817 sig in 8act.) RANK 5 NODE 2 --> 6.47855616 sigma out 1act.( 9.5907917 sig in 8act.) RANK 6 NODE 15 --> 6.26098204 sigma out 1act.( 7.58460951 sig in 8act.) RANK 7 NODE 8 --> 5.59972 sigma out 1act.( 7.18827009 sig in 8act.) RANK 8 NODE 3 --> 5.04445791 sigma out 1act.( 6.92974377 sig in 8act.) RANK 9 NODE 12 --> 4.57349253 sigma out 1act.( 6.01527834 sig in 8act.) RANK 10 NODE 10 --> 4.24521923 sigma out 1act.( 6.16508341 sig in 8act.) RANK 11 NODE 5 --> 4.13857317 sigma out 1act.( 5.70505285 sig in 8act.) RANK 12 NODE 1 --> 3.84853745 sigma out 1act.( 6.5863452 sig in 8act.) RANK 13 NODE 6 --> 2.69254351 sigma out 1act.( 5.18389082 sig in 8act.) RANK 14 NODE 11 --> 1.59093583 sigma out 1act.( 5.23190212 sig in 8act.) RANK 15 NODE 14 --> 0.240799159 sigma out 1act.( 2.6669054 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 27.0532227 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.409334362 *** contribution from regularisation: 0.0113349603 *** contribution from error: -0.420669317 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.428713948 *** contribution from regularisation: 0.00694231782 *** contribution from error: -0.435656279 *********************************************** -----------------> Test sample ENTER BFGS code START -8694.20296 0.819760203 0.120408908 EXIT FROM BFGS code FG_START 0. 0.819760203 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.434338152 *** contribution from regularisation: 0.00515201502 *** contribution from error: -0.439490169 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -8806.20593 0.819760203 25.5998344 EXIT FROM BFGS code FG_LNSRCH 0. 0.863420546 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.437639177 *** contribution from regularisation: 0.00709324237 *** contribution from error: -0.444732428 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -8873.13455 0.863420546 -29.572855 EXIT FROM BFGS code NEW_X -8873.13455 0.863420546 -29.572855 ENTER BFGS code NEW_X -8873.13455 0.863420546 -29.572855 EXIT FROM BFGS code FG_LNSRCH 0. 0.843530059 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.444559216 *** contribution from regularisation: 0.0064893947 *** contribution from error: -0.451048613 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9013.43818 0.843530059 -4.59719467 EXIT FROM BFGS code NEW_X -9013.43818 0.843530059 -4.59719467 ENTER BFGS code NEW_X -9013.43818 0.843530059 -4.59719467 EXIT FROM BFGS code FG_LNSRCH 0. 0.840200007 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.444830716 *** contribution from regularisation: 0.00645038718 *** contribution from error: -0.451281101 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9018.94296 0.840200007 -4.27909851 EXIT FROM BFGS code NEW_X -9018.94296 0.840200007 -4.27909851 ENTER BFGS code NEW_X -9018.94296 0.840200007 -4.27909851 EXIT FROM BFGS code FG_LNSRCH 0. 0.821876109 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.445300817 *** contribution from regularisation: 0.00604850287 *** contribution from error: -0.451349318 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9028.47415 0.821876109 -3.78042126 EXIT FROM BFGS code NEW_X -9028.47415 0.821876109 -3.78042126 ENTER BFGS code NEW_X -9028.47415 0.821876109 -3.78042126 EXIT FROM BFGS code FG_LNSRCH 0. 0.805428088 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.445475072 *** contribution from regularisation: 0.00599204423 *** contribution from error: -0.451467127 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9032.00727 0.805428088 -3.2962172 EXIT FROM BFGS code NEW_X -9032.00727 0.805428088 -3.2962172 ENTER BFGS code NEW_X -9032.00727 0.805428088 -3.2962172 EXIT FROM BFGS code FG_LNSRCH 0. 0.619108915 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.445412278 *** contribution from regularisation: 0.00395781687 *** contribution from error: -0.449370086 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9030.73365 0.619108915 -3.35255456 EXIT FROM BFGS code FG_LNSRCH 0. 0.719456196 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 12.5567474 sigma out 15 active outputs RANK 2 NODE 1 --> 10.5184727 sigma out 15 active outputs RANK 3 NODE 8 --> 7.88857985 sigma out 15 active outputs RANK 4 NODE 2 --> 7.74513578 sigma out 15 active outputs RANK 5 NODE 7 --> 7.64929914 sigma out 15 active outputs RANK 6 NODE 5 --> 6.440938 sigma out 15 active outputs RANK 7 NODE 6 --> 5.88171864 sigma out 15 active outputs RANK 8 NODE 3 --> 4.43357897 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 10.4427557 sigma in 8act. ( 8.77399445 sig out 1act.) RANK 2 NODE 9 --> 9.35082817 sigma in 8act. ( 7.47547054 sig out 1act.) RANK 3 NODE 5 --> 7.3679924 sigma in 8act. ( 5.25499535 sig out 1act.) RANK 4 NODE 2 --> 6.76634121 sigma in 8act. ( 3.91748238 sig out 1act.) RANK 5 NODE 6 --> 6.42297459 sigma in 8act. ( 4.96275759 sig out 1act.) RANK 6 NODE 7 --> 6.40959311 sigma in 8act. ( 4.5475235 sig out 1act.) RANK 7 NODE 3 --> 5.69154978 sigma in 8act. ( 3.66754746 sig out 1act.) RANK 8 NODE 15 --> 5.38846445 sigma in 8act. ( 2.37732697 sig out 1act.) RANK 9 NODE 8 --> 4.90342617 sigma in 8act. ( 3.07155919 sig out 1act.) RANK 10 NODE 1 --> 4.2111454 sigma in 8act. ( 0.859642863 sig out 1act.) RANK 11 NODE 12 --> 4.19955206 sigma in 8act. ( 2.01734328 sig out 1act.) RANK 12 NODE 11 --> 3.80518436 sigma in 8act. ( 0.397996128 sig out 1act.) RANK 13 NODE 10 --> 3.64769149 sigma in 8act. ( 0.351741254 sig out 1act.) RANK 14 NODE 13 --> 3.14883947 sigma in 8act. ( 0.0471911132 sig out 1act.) RANK 15 NODE 14 --> 2.70836496 sigma in 8act. ( 1.83344018 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 8.77399445 sigma out 1act.( 10.4427557 sig in 8act.) RANK 2 NODE 9 --> 7.47547054 sigma out 1act.( 9.35082817 sig in 8act.) RANK 3 NODE 5 --> 5.25499535 sigma out 1act.( 7.3679924 sig in 8act.) RANK 4 NODE 6 --> 4.96275759 sigma out 1act.( 6.42297459 sig in 8act.) RANK 5 NODE 7 --> 4.5475235 sigma out 1act.( 6.40959311 sig in 8act.) RANK 6 NODE 2 --> 3.91748238 sigma out 1act.( 6.76634121 sig in 8act.) RANK 7 NODE 3 --> 3.66754746 sigma out 1act.( 5.69154978 sig in 8act.) RANK 8 NODE 8 --> 3.07155919 sigma out 1act.( 4.90342617 sig in 8act.) RANK 9 NODE 15 --> 2.37732697 sigma out 1act.( 5.38846445 sig in 8act.) RANK 10 NODE 12 --> 2.01734328 sigma out 1act.( 4.19955206 sig in 8act.) RANK 11 NODE 14 --> 1.83344018 sigma out 1act.( 2.70836496 sig in 8act.) RANK 12 NODE 1 --> 0.859642863 sigma out 1act.( 4.2111454 sig in 8act.) RANK 13 NODE 11 --> 0.397996128 sigma out 1act.( 3.80518436 sig in 8act.) RANK 14 NODE 10 --> 0.351741254 sigma out 1act.( 3.64769149 sig in 8act.) RANK 15 NODE 13 --> 0.0471911132 sigma out 1act.( 3.14883947 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.0663548 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.443115592 *** contribution from regularisation: 0.00850418676 *** contribution from error: -0.451619774 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -8984.16844 0.719456196 -2.02054024 EXIT FROM BFGS code FG_LNSRCH 0. 0.794342458 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.445366204 *** contribution from regularisation: 0.00620270474 *** contribution from error: -0.451568902 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9029.79963 0.794342458 -2.97854495 EXIT FROM BFGS code FG_LNSRCH 0. 0.803643227 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.445086837 *** contribution from regularisation: 0.00639811205 *** contribution from error: -0.451484948 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9024.13544 0.803643227 -2.96524143 EXIT FROM BFGS code FG_LNSRCH 0. 0.805383027 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.445259243 *** contribution from regularisation: 0.00620799465 *** contribution from error: -0.451467246 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9027.63144 0.805383027 -2.99469399 EXIT FROM BFGS code FG_LNSRCH 0. 0.805428028 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.44519338 *** contribution from regularisation: 0.00627373811 *** contribution from error: -0.451467127 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9026.29593 0.805428028 -2.93596363 EXIT FROM BFGS code FG_LNSRCH 0. 0.805428088 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.445230126 *** contribution from regularisation: 0.00623699091 *** contribution from error: -0.451467127 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9027.04098 0.805428088 -2.94318557 EXIT FROM BFGS code FG_LNSRCH 0. 0.805428088 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.445245683 *** contribution from regularisation: 0.00622145645 *** contribution from error: -0.451467127 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9027.35594 0.805428088 -2.9279213 EXIT FROM BFGS code FG_LNSRCH 0. 0.805428088 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.445204407 *** contribution from regularisation: 0.00626270752 *** contribution from error: -0.451467127 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9026.51957 0.805428088 -2.88618851 EXIT FROM BFGS code NEW_X -9026.51957 0.805428088 -2.88618851 ENTER BFGS code NEW_X -9026.51957 0.805428088 -2.88618851 EXIT FROM BFGS code CONVERGENC -9026.51957 0.805428088 -2.88618851 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 16.6029835 sigma out 15 active outputs RANK 2 NODE 1 --> 14.0868406 sigma out 15 active outputs RANK 3 NODE 5 --> 10.7085371 sigma out 15 active outputs RANK 4 NODE 2 --> 9.38291645 sigma out 15 active outputs RANK 5 NODE 8 --> 9.37636089 sigma out 15 active outputs RANK 6 NODE 7 --> 9.10273647 sigma out 15 active outputs RANK 7 NODE 6 --> 8.01407623 sigma out 15 active outputs RANK 8 NODE 3 --> 5.98846006 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 15.8492136 sigma in 8act. ( 15.4667997 sig out 1act.) RANK 2 NODE 4 --> 15.5188122 sigma in 8act. ( 14.4456921 sig out 1act.) RANK 3 NODE 7 --> 8.24569988 sigma in 8act. ( 7.78951454 sig out 1act.) RANK 4 NODE 3 --> 7.91557693 sigma in 8act. ( 6.51149416 sig out 1act.) RANK 5 NODE 5 --> 7.76458216 sigma in 8act. ( 7.01246023 sig out 1act.) RANK 6 NODE 15 --> 7.41844893 sigma in 8act. ( 6.9700346 sig out 1act.) RANK 7 NODE 2 --> 7.0762763 sigma in 8act. ( 5.93938684 sig out 1act.) RANK 8 NODE 6 --> 6.90180349 sigma in 8act. ( 5.9452343 sig out 1act.) RANK 9 NODE 12 --> 5.2824173 sigma in 8act. ( 4.56079531 sig out 1act.) RANK 10 NODE 8 --> 4.3939271 sigma in 8act. ( 2.82931685 sig out 1act.) RANK 11 NODE 13 --> 4.15602303 sigma in 8act. ( 3.69111776 sig out 1act.) RANK 12 NODE 1 --> 3.89753151 sigma in 8act. ( 1.15492523 sig out 1act.) RANK 13 NODE 11 --> 3.56822419 sigma in 8act. ( 0.935262322 sig out 1act.) RANK 14 NODE 10 --> 3.32712293 sigma in 8act. ( 0.475660533 sig out 1act.) RANK 15 NODE 14 --> 2.91333389 sigma in 8act. ( 2.52966309 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 15.4667997 sigma out 1act.( 15.8492136 sig in 8act.) RANK 2 NODE 4 --> 14.4456921 sigma out 1act.( 15.5188122 sig in 8act.) RANK 3 NODE 7 --> 7.78951454 sigma out 1act.( 8.24569988 sig in 8act.) RANK 4 NODE 5 --> 7.01246023 sigma out 1act.( 7.76458216 sig in 8act.) RANK 5 NODE 15 --> 6.9700346 sigma out 1act.( 7.41844893 sig in 8act.) RANK 6 NODE 3 --> 6.51149416 sigma out 1act.( 7.91557693 sig in 8act.) RANK 7 NODE 6 --> 5.9452343 sigma out 1act.( 6.90180349 sig in 8act.) RANK 8 NODE 2 --> 5.93938684 sigma out 1act.( 7.0762763 sig in 8act.) RANK 9 NODE 12 --> 4.56079531 sigma out 1act.( 5.2824173 sig in 8act.) RANK 10 NODE 13 --> 3.69111776 sigma out 1act.( 4.15602303 sig in 8act.) RANK 11 NODE 8 --> 2.82931685 sigma out 1act.( 4.3939271 sig in 8act.) RANK 12 NODE 14 --> 2.52966309 sigma out 1act.( 2.91333389 sig in 8act.) RANK 13 NODE 1 --> 1.15492523 sigma out 1act.( 3.89753151 sig in 8act.) RANK 14 NODE 11 --> 0.935262322 sigma out 1act.( 3.56822419 sig in 8act.) RANK 15 NODE 10 --> 0.475660533 sigma out 1act.( 3.32712293 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 27.7600117 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.445254683 *** contribution from regularisation: 0.00621244265 *** contribution from error: -0.451467127 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24530 Closing output file done