NNInput NNInputs_200.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= 10108 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 = 1341 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 1341 Chosen entries: 1341 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.15296 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 1341 Entries to split: 1341 Test with : 670 Train with : 670 ********************************************* * 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= 1341 for Signal Prepared event 0 for Signal with 1341 events ====Entry 0 Variable Ht : 218.741 Variable LepAPt : 32.2383 Variable LepBPt : 23.3473 Variable MetSigLeptonsJets : 10.225 Variable MetSpec : 107.731 Variable SumEtLeptonsJets : 111.009 Variable VSumJetLeptonsPt : 105.592 Variable addEt : 163.318 Variable dPhiLepSumMet : 3.02648 Variable dPhiLeptons : 0.563901 Variable dRLeptons : 0.583252 Variable lep1_E : 32.8095 Variable lep2_E : 23.3654 ===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 = 2200 Ht = 218.741 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 32.2386 LepAPt = 32.2383 LepBEt = 23.3477 LepBPt = 23.3473 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 107.731 MetDelPhi = 2.76844 MetSig = 8.63481 MetSigLeptonsJets = 10.225 MetSpec = 107.731 Mjj = 0 MostCentralJetEta = 1.32771 MtllMet = 163.757 Njets = 1 SB = 0 SumEt = 155.66 SumEtJets = 0 SumEtLeptonsJets = 111.009 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 105.592 addEt = 163.318 dPhiLepSumMet = 3.02648 dPhiLeptons = 0.563901 dRLeptons = 0.583252 diltype = 41 dimass = 15.8077 event = 85 jet1_Et = 55.4234 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.8095 lep2_E = 23.3654 rand = 0.999742 run = 149354 weight = 1.50796e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 1.61609 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 308 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 10108 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 308 negative weights. Signal fraction: 67.8659058 % ------------------------------ 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 58.3380165 67.1979675 67.2291412 68.3505249 68.3614502 68.6114044 70.2850266 70.7279129 73.3993225 74.4239197 76.2717896 79.6382904 79.7862473 80.1161041 80.6521149 82.6917114 83.653656 85.2064819 86.2072754 87.6131134 89.2348022 89.2844696 90.0912018 91.1165543 91.3102722 91.594368 92.6957703 93.1037521 94.251976 95.7797394 96.8301086 98.9674377 100.504654 102.197205 103.761414 104.761047 105.922775 106.248703 107.212006 109.075699 109.203339 110.122208 110.196449 110.775909 111.336395 112.623199 114.669662 116.249146 116.269958 117.175407 119.089905 121.016785 121.021721 122.000114 123.173462 123.91832 126.086533 127.406952 129.096924 129.757614 131.02832 132.042709 132.956024 134.026505 136.399536 137.600784 139.417999 141.072006 142.543549 144.247162 145.816925 147.485809 148.147705 148.464096 149.966003 151.673584 153.519592 155.367645 156.29599 157.650208 159.188019 159.985443 161.699127 164.384232 168.448151 171.104263 172.278549 174.692749 177.735657 183.320496 188.803268 192.394119 199.359192 208.524628 215.419312 225.832031 235.260818 253.014771 273.830627 299.014648 465.920532 ------------------------------ Transdef: Tab for variable 3 20.0047188 20.4453392 20.6453934 21.4176712 21.4190178 21.5811005 22.0087433 22.5782795 22.5847473 22.8158302 23.173233 23.2338524 23.5912209 23.7076874 23.7313919 23.9105721 24.0358944 24.2723083 24.6380043 24.9239159 25.1010361 25.3871613 25.7499886 26.1157551 26.1292305 26.4293518 26.5250816 26.7327271 26.9339752 27.2738876 27.6140289 27.6343994 27.8584366 28.1166077 28.1561661 28.3104019 28.6315002 28.9428864 29.1076069 29.129961 29.3181915 29.3689938 29.7043819 30.0502548 30.4993591 30.5441933 30.8081741 31.0910339 31.1154289 31.3362427 31.433876 31.9678535 32.0840607 32.3423309 32.7318192 33.0215569 33.2388763 33.4534721 33.9792175 34.1799011 34.3368607 34.8431854 35.3115387 35.6482239 36.0665588 36.6903 37.0287933 37.4740982 37.8015442 38.2584381 38.7009201 39.0195618 39.4878807 39.8973999 40.4471016 40.464386 40.8106461 41.1590691 41.4854965 41.8744926 42.5221634 43.041954 44.1954727 44.7023315 45.0078888 45.7776718 45.9256516 47.1200256 48.0699959 49.299839 50.7415428 50.767868 51.6313019 53.0702324 55.1105957 56.2476273 58.8271217 62.318512 65.2492065 65.3867645 86.3822861 ------------------------------ Transdef: Tab for variable 4 10.0059166 10.022541 10.177763 10.2849007 10.3256035 10.3746109 10.6212597 10.7940483 10.8837776 11.0015125 11.0826292 11.2109394 11.2996912 11.3383369 11.42062 11.4937458 11.6343746 11.747385 11.8048973 12.1757889 12.1824312 12.5284395 12.6544075 12.7623329 13.1452675 13.2926798 13.3587666 13.4763451 13.492569 13.6526737 13.6616001 13.9521961 13.9894295 14.1726513 14.5906563 15.1008148 15.2910156 15.4320021 15.8004494 15.8554344 15.9930735 16.4337578 16.4723358 16.6338215 16.817791 17.0483818 17.2248878 17.4339828 17.6331978 17.8409863 18.018446 18.2738514 18.4819813 18.4943562 18.7090569 18.8928909 19.1072845 19.5581055 19.9627743 20.1901951 20.3163795 20.4132805 20.5316677 20.6857109 20.9233017 21.0653267 21.1521072 21.2225113 21.3252182 21.6183548 21.8096275 21.9327278 21.9929161 22.1944733 22.3302574 22.7069702 22.992691 23.206089 23.4833374 23.645628 23.8658733 24.1094227 24.3858624 24.6511345 24.9426727 25.2151031 25.4868927 25.7950554 26.1344528 26.1937752 26.5277691 27.0215569 27.5453262 27.8456192 27.9789238 28.1897583 28.7729549 29.753109 30.8989792 32.4523239 36.5747871 ------------------------------ Transdef: Tab for variable 5 2.35699153 3.05628276 3.06648636 3.3351388 3.6731019 3.78197861 4.00593567 4.13474751 4.1832943 4.27389622 4.46387196 4.62871361 4.6801796 4.78952789 4.78975677 5.05849457 5.13955879 5.14360142 5.27329922 5.41843653 5.50427818 5.64484787 5.70110893 5.75248051 5.83799124 5.84385777 5.90882492 6.0141573 6.02012062 6.10445309 6.12000656 6.21578312 6.25613499 6.26230764 6.26646948 6.27643251 6.33946991 6.3396244 6.4257822 6.48787546 6.48900604 6.53709316 6.65106678 6.71756268 6.80333424 6.82966232 6.85027122 6.95864487 6.96656513 7.00527 7.04378033 7.06970406 7.11460304 7.2133112 7.24640083 7.27969694 7.29627275 7.31097364 7.33837938 7.40334988 7.47238827 7.55240154 7.6188097 7.61914062 7.64552307 7.69021797 7.7387476 7.77382946 7.84138966 7.85340261 7.9179697 7.94157982 8.00162125 8.05586052 8.09556103 8.12815285 8.22254086 8.27098846 8.33610725 8.39082813 8.43406105 8.47671318 8.53070927 8.73390579 8.74577236 8.82845116 8.9226017 9.01364613 9.13327217 9.22361565 9.38296986 9.47411156 9.60416126 9.76968002 9.91950798 10.151638 10.4375916 10.8669825 11.52384 12.6289091 17.3426514 ------------------------------ Transdef: Tab for variable 6 25.0152855 25.4973907 27.205719 28.7893105 28.8051319 29.3455315 29.435648 29.7388115 31.2894974 31.2916927 32.3771858 32.9632492 33.5729294 33.8352966 34.7837296 34.9246216 35.8702545 36.4730492 36.4876823 37.4986572 37.818058 37.8300819 37.8676529 37.8686943 38.9815521 39.5127335 39.9190674 40.280571 40.8055344 41.8664169 42.7742424 42.9127121 43.7574959 44.1609688 44.688652 45.3749008 45.9237213 45.925705 46.5219002 46.6469269 47.265831 48.0655861 48.1522255 48.8059769 48.8609848 49.681221 50.013813 50.1360092 50.7438049 51.389389 52.0578804 52.5169296 53.2332726 53.3443298 53.9250336 54.2123032 55.5395546 56.1378708 56.7192574 57.1779785 57.5410156 58.5484772 59.8604355 60.8175812 61.5086212 62.1569443 63.1392937 64.0475693 64.7144241 65.4392242 66.0519333 66.8646851 67.3821945 68.4882202 69.4009247 69.5303574 70.5196762 71.357666 71.823082 72.6089172 74.1052551 75.005249 76.0012817 76.4993057 77.4915237 77.7876434 78.8568878 80.5880432 81.577507 83.028389 84.5041656 86.639328 90.4426117 93.4575806 97.19487 100.802719 106.348282 110.442162 117.954597 131.895355 187.785034 ------------------------------ Transdef: Tab for variable 7 30.3449535 30.7424355 32.4559669 33.7945938 34.3163834 35.9276581 36.5658875 36.7110519 36.8567123 37.0686226 37.7557373 37.8373985 39.7049751 40.3705063 40.3896255 41.3508759 41.9658508 42.3652916 43.0842018 43.1555519 43.4794159 43.9127426 44.593544 44.7518654 45.1923523 45.4760513 46.1834717 47.5703316 48.2739563 49.413826 50.6764641 51.079834 52.0132523 52.6255264 52.6996193 53.0271301 53.6780205 54.6438713 55.2897644 55.8195229 55.9473953 56.2746658 57.4317017 57.8812485 58.6530533 60.1551285 61.0467567 62.1467514 63.1612244 63.8164368 64.3015976 64.8877716 65.0764465 65.9644928 66.6103516 67.3787689 67.9560699 69.7821198 70.8735657 71.8109283 72.8385773 73.3634338 73.7282562 75.1107178 75.7324066 76.4588165 78.1379471 78.5890808 78.7581482 79.3525314 79.841362 80.7688904 81.713089 81.9674606 82.5989838 83.9045715 84.8937988 85.9718857 88.4610291 90.4991302 91.6625977 91.8716431 93.390213 94.7489548 96.3679123 97.5564423 99.1749268 102.440987 104.296593 107.077057 109.461472 113.495216 120.208954 124.685402 128.839996 135.079376 139.268112 147.015427 153.28479 176.445221 272.24707 ------------------------------ Transdef: Tab for variable 8 8.50195503 20.6373825 28.815136 29.1027069 29.6048164 30.2299595 32.110054 32.7737617 32.8459549 32.9818573 33.8684921 35.2181129 35.5021973 36.1563416 36.4105835 36.5228806 36.8734055 37.3991013 38.0186386 38.579422 38.737133 39.3394547 39.5438232 40.149292 40.8476944 41.1987343 41.5441704 41.8176498 42.096489 42.302536 42.6479568 43.1811829 43.239418 43.6511383 44.0366364 44.1627808 44.2790451 44.4463615 45.2390518 45.3778763 45.9272881 46.5481796 47.1345024 48.0079956 48.5042648 48.8301468 49.6036758 50.2327003 50.8072128 51.0388603 51.2585487 52.0077591 52.6805038 53.0161057 53.2944489 53.6643867 53.8856583 54.1909485 54.8607521 55.1640892 55.7259903 56.3880615 57.0312271 57.3747635 57.9623222 58.8191299 60.0725784 60.679245 61.4295197 61.8580551 62.9311714 63.4757156 64.3933105 65.136673 65.9289627 66.7224579 67.8518982 68.6534576 69.475174 70.8154526 72.0985107 73.0579376 74.1960449 74.7583771 76.0862885 78.1798706 78.6037903 78.6135864 79.1281891 80.1233902 81.6496124 82.7680435 85.4396973 87.2883148 91.3275757 93.2605896 100.642029 106.706177 115.064423 122.456543 200.177673 ------------------------------ Transdef: Tab for variable 9 58.3380165 67.1979675 67.2291412 68.3505249 68.3614502 68.6114044 70.2056885 70.2850266 71.8408051 71.927597 73.4106598 73.7462845 74.4239197 76.3569031 77.8716278 79.6382904 79.7740021 80.6134949 80.7583008 82.6917114 82.8608246 84.3747101 84.7273331 85.3053818 86.2072754 86.9736023 88.6990051 89.2348022 89.2844696 89.3381805 89.6543655 90.004158 90.9722137 91.1138916 91.614418 91.8280792 92.8603287 93.1037521 94.1592865 95.5151138 96.2792969 97.7276917 98.9390869 100.206085 100.831711 102.201744 103.315308 103.833588 104.836227 105.673515 106.248703 106.535187 107.598244 108.687363 109.604286 110.176392 110.698814 111.466934 113.115974 114.580803 115.214882 116.330093 117.388474 118.383682 120.419342 121.637131 122.873817 123.460587 124.396698 126.086533 127.524429 129.024475 129.972534 131.010681 131.857269 132.771683 133.513626 134.988434 136.304932 137.462555 139.618866 141.072006 141.886322 143.632507 144.811966 146.200958 148.139038 148.491974 150.269073 151.84082 154.235062 156.297913 156.408661 160.005707 161.831375 166.365936 171.534515 176.550537 184.204926 191.878021 249.401291 ------------------------------ Transdef: Tab for variable 10 0.309239447 1.07181454 1.36823368 1.54961193 1.70283127 1.77921295 1.86561775 1.89736259 1.96065784 2.06456709 2.15539622 2.20052052 2.28418851 2.33228993 2.38673663 2.41735792 2.44305038 2.45225573 2.49739075 2.5280292 2.57037115 2.59793568 2.61556005 2.63790727 2.658252 2.68762088 2.70703888 2.72302914 2.74657774 2.75951958 2.77353787 2.77890706 2.77967525 2.80427074 2.81436396 2.83246279 2.84534216 2.85025144 2.86361694 2.86722612 2.8718853 2.87828064 2.88972902 2.89654016 2.90240049 2.90928745 2.91062498 2.92180347 2.92749643 2.93874311 2.94621897 2.94973207 2.95316982 2.96126795 2.97441673 2.9785614 2.98114634 2.98398209 2.98909712 2.99843311 3.00466251 3.01094055 3.01463413 3.01966572 3.0281949 3.02935147 3.03558373 3.04152536 3.04202747 3.04697084 3.05224967 3.0570426 3.06186056 3.06285381 3.06648636 3.06763268 3.07146525 3.07305264 3.07867622 3.08349466 3.0851984 3.0906918 3.0948236 3.09678388 3.09680462 3.10304332 3.1058569 3.1079278 3.11155987 3.11423397 3.11533284 3.11611533 3.11875343 3.12216759 3.12455368 3.12629938 3.13051844 3.1332283 3.13384604 3.13745356 3.14155698 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00154614449 0.00613343716 0.0230078697 0.0368130207 0.0374310315 0.0483592749 0.0545413494 0.0652018785 0.0758390278 0.0879682302 0.0962623358 0.109298229 0.130518675 0.138502121 0.142059803 0.144674897 0.155486912 0.166665554 0.171859264 0.178955793 0.182056904 0.196171999 0.208353281 0.209503591 0.21347785 0.215384066 0.229704559 0.238839 0.249070853 0.255899668 0.26568374 0.271613955 0.281626999 0.28571856 0.289092958 0.296796679 0.307497323 0.315135956 0.315216541 0.331157923 0.334568888 0.340104103 0.346462965 0.351714075 0.353235722 0.361087501 0.37007916 0.378913879 0.38459295 0.390667439 0.396980047 0.403062224 0.408037841 0.414541245 0.418987989 0.423169494 0.426415324 0.427844942 0.430789232 0.435641617 0.435921669 0.444590271 0.450468659 0.455997586 0.460082054 0.460270882 0.467468858 0.477056146 0.483814955 0.48994267 0.492278963 0.498141289 0.505801201 0.509517252 0.511819601 0.523597717 0.523929238 0.524379253 0.530780077 0.534693122 0.539283812 0.547727942 0.556046247 0.574749947 0.579617441 0.590553105 0.605875731 0.619503736 0.639404953 0.654606104 0.676369786 0.712082028 0.712501824 0.718420744 0.755874872 0.76742816 0.802864075 0.863429487 0.883980572 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.211730883 0.234809503 0.245130986 0.278875113 0.313336074 0.349879891 0.399533272 0.405358583 0.408513099 0.41220355 0.41454947 0.416066319 0.418406188 0.420416623 0.421735942 0.424331933 0.427579522 0.430025399 0.430940568 0.432064533 0.434077084 0.436172307 0.439626604 0.443258762 0.4462758 0.448886931 0.451398015 0.454870939 0.457232356 0.460387945 0.463197052 0.466479242 0.469946325 0.471791148 0.472055256 0.475485414 0.4770872 0.479082942 0.480720997 0.48358506 0.489740729 0.491866589 0.49471873 0.499887139 0.500605464 0.503946781 0.506798744 0.510882974 0.51518476 0.517946005 0.51808542 0.519183874 0.523126841 0.52367115 0.526143253 0.53060323 0.534143209 0.538188219 0.544203997 0.551881135 0.558339 0.56142956 0.564540744 0.568204999 0.57171464 0.57728076 0.578598976 0.583329439 0.58592546 0.590311527 0.595236421 0.595384896 0.600677609 0.60694921 0.610729933 0.617035866 0.627523065 0.634269238 0.639742374 0.647170603 0.652855277 0.660378098 0.67080611 0.680151165 0.68796587 0.692997217 0.698134601 0.699016392 0.714596629 0.716935396 0.725089431 0.759352386 0.769439638 0.781606555 0.799396753 0.827498436 0.86005801 0.91804558 0.992606878 1.13453126 ------------------------------ Transdef: Tab for variable 13 20.159277 21.77705 22.592907 23.2822285 23.7518826 23.9903564 24.3003578 24.3917503 24.4333 24.7652988 24.927784 25.159235 25.321949 25.8743095 26.4635277 27.0733681 27.3609505 27.6312408 27.9074841 28.2770748 28.6432495 28.8640709 29.0144615 29.2462845 29.4266586 29.6484795 30.1492996 30.4475136 30.4800911 30.5591202 30.9603577 31.3693485 31.731205 32.0551186 32.187973 32.3113289 32.3617821 32.4650803 32.6798859 32.8069878 33.1608429 33.6107254 33.9257736 34.4423447 34.7488937 35.3735809 35.4776154 35.9972801 36.3280678 36.5886459 37.2555161 37.5814934 37.8854828 38.1093826 38.5526009 38.6049232 39.1905594 39.5099182 39.828064 40.3348999 40.9340172 41.2422028 41.6431274 41.8957748 42.3490219 43.0388412 43.3670578 43.5409851 44.1040039 44.4923325 45.0516891 45.6548615 45.9388733 46.741745 47.0732193 47.0935898 47.6584549 48.8086281 49.3662796 49.82724 50.3747711 51.1338348 52.5242195 53.1468048 54.0129967 55.0805664 55.4268951 56.3588753 57.2950134 58.9247208 58.946991 60.4011383 61.8994064 63.7923126 65.8188171 67.892395 69.4198532 72.1542816 76.2924042 82.8074646 122.020348 ------------------------------ Transdef: Tab for variable 14 10.096015 10.2542658 10.5338364 10.7505798 11.2043829 11.2473221 11.3127441 11.5920753 11.7238445 11.7289228 11.7961655 12.0927696 12.2179031 12.771883 12.8211975 13.1987801 13.4023571 13.4805012 13.5392609 13.6247425 13.8626938 14.6018047 15.0209274 15.4050684 15.4334078 15.8077593 16.269268 16.270874 16.6290684 16.9677486 17.1861038 17.1903 17.3828773 17.5355339 17.7367229 17.9622841 18.2005997 18.4480743 18.6395969 18.7062454 18.9531403 19.2070484 19.2593708 19.6976967 20.0816002 20.4470673 20.7819519 21.0969372 21.2947121 21.3192024 21.4192257 21.6617146 21.8693428 21.9310246 22.1124573 22.481514 22.6726379 22.9747658 23.3280487 23.6316986 23.8502827 24.0880661 24.2935143 24.4933205 24.6898766 25.1257381 25.4697342 25.6859589 25.79072 25.866539 26.1696434 26.484827 26.8982544 27.3088531 27.6293259 27.8847923 28.2247391 28.6688824 29.0640564 29.3939934 29.6328163 30.1612625 30.2758102 30.8288212 31.3538094 31.7106972 32.3240356 33.2318077 34.2038002 34.2193718 35.0715866 36.2866211 37.2396088 37.9809113 38.9650421 40.2134171 40.2138481 43.1252975 46.711441 47.742424 63.3097 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 54.0 27.5 36.8 26.4 39.2 50.0 41.2 49.4 -21.6 -14.7 -3.0 26.1 29.6 2 54.0 100.0 55.6 40.7 45.4 71.9 92.7 74.5 89.1 -41.2 -30.5 -28.6 52.0 33.2 3 27.5 55.6 100.0 17.2 27.3 42.0 52.5 55.8 69.3 6.9 -31.6 -37.4 88.4 10.1 4 36.8 40.7 17.2 100.0 13.5 25.7 40.8 36.8 43.9 -8.8 -36.7 -44.0 20.0 83.0 5 26.4 45.4 27.3 13.5 100.0 86.8 12.1 60.0 71.3 22.2 -7.2 1.6 21.8 8.8 6 39.2 71.9 42.0 25.7 86.8 100.0 46.4 79.0 86.0 0.4 -17.7 -9.7 36.4 19.4 7 50.0 92.7 52.5 40.8 12.1 46.4 100.0 63.4 71.4 -53.2 -31.0 -32.7 50.6 34.4 8 41.2 74.5 55.8 36.8 60.0 79.0 63.4 100.0 84.0 -1.4 -28.4 -27.2 51.9 31.3 9 49.4 89.1 69.3 43.9 71.3 86.0 71.4 84.0 100.0 -9.9 -32.9 -30.6 62.5 34.4 10 -21.6 -41.2 6.9 -8.8 22.2 0.4 -53.2 -1.4 -9.9 100.0 8.5 9.8 2.3 -9.1 11 -14.7 -30.5 -31.6 -36.7 -7.2 -17.7 -31.0 -28.4 -32.9 8.5 100.0 64.8 -29.0 -32.9 12 -3.0 -28.6 -37.4 -44.0 1.6 -9.7 -32.7 -27.2 -30.6 9.8 64.8 100.0 -36.3 -32.0 13 26.1 52.0 88.4 20.0 21.8 36.4 50.6 51.9 62.5 2.3 -29.0 -36.3 100.0 28.4 14 29.6 33.2 10.1 83.0 8.8 19.4 34.4 31.3 34.4 -9.1 -32.9 -32.0 28.4 100.0 TOTAL CORRELATION TO TARGET (diagonal) 127.021938 TOTAL CORRELATION OF ALL VARIABLES 61.1040906 ROUND 1: MAX CORR ( 61.0953387) AFTER KILLING INPUT VARIABLE 7 CONTR 1.03416072 ROUND 2: MAX CORR ( 61.0473916) AFTER KILLING INPUT VARIABLE 13 CONTR 2.41999797 ROUND 3: MAX CORR ( 60.9361439) AFTER KILLING INPUT VARIABLE 8 CONTR 3.6837994 ROUND 4: MAX CORR ( 60.8717967) AFTER KILLING INPUT VARIABLE 6 CONTR 2.79964289 ROUND 5: MAX CORR ( 60.7784813) AFTER KILLING INPUT VARIABLE 14 CONTR 3.36925024 ROUND 6: MAX CORR ( 60.6841425) AFTER KILLING INPUT VARIABLE 10 CONTR 3.3850612 ROUND 7: MAX CORR ( 60.5152504) AFTER KILLING INPUT VARIABLE 5 CONTR 4.52433602 ROUND 8: MAX CORR ( 60.4591118) AFTER KILLING INPUT VARIABLE 9 CONTR 2.60601953 ROUND 9: MAX CORR ( 60.2725647) AFTER KILLING INPUT VARIABLE 3 CONTR 4.74574952 ROUND 10: MAX CORR ( 59.9533217) AFTER KILLING INPUT VARIABLE 11 CONTR 6.19526274 ROUND 11: MAX CORR ( 56.3550472) AFTER KILLING INPUT VARIABLE 12 CONTR 20.4575031 ROUND 12: MAX CORR ( 53.9571029) AFTER KILLING INPUT VARIABLE 4 CONTR 16.2641442 LAST REMAINING VARIABLE: 2 total correlation to target: 61.1040906 % total significance: 18.8958668 sigma correlations of single variables to target: variable 2: 53.9571029 % , in sigma: 16.6857279 variable 3: 27.540674 % , in sigma: 8.51669507 variable 4: 36.8206756 % , in sigma: 11.3864485 variable 5: 26.4073046 % , in sigma: 8.16621123 variable 6: 39.1508554 % , in sigma: 12.1070347 variable 7: 49.9983062 % , in sigma: 15.4615071 variable 8: 41.2067757 % , in sigma: 12.7428088 variable 9: 49.3516726 % , in sigma: 15.2615418 variable 10: -21.5886833 % , in sigma: 6.67609779 variable 11: -14.6812809 % , in sigma: 4.5400484 variable 12: -2.96395202 % , in sigma: 0.916574356 variable 13: 26.0706987 % , in sigma: 8.06211901 variable 14: 29.5858677 % , in sigma: 9.14915204 variables sorted by significance: 1 most relevant variable 2 corr 53.9571037 , in sigma: 16.6857281 2 most relevant variable 4 corr 16.2641449 , in sigma: 5.02953423 3 most relevant variable 12 corr 20.4575024 , in sigma: 6.32629069 4 most relevant variable 11 corr 6.19526291 , in sigma: 1.91582693 5 most relevant variable 3 corr 4.74574947 , in sigma: 1.4675785 6 most relevant variable 9 corr 2.6060195 , in sigma: 0.805887081 7 most relevant variable 5 corr 4.52433586 , in sigma: 1.39910842 8 most relevant variable 10 corr 3.38506126 , in sigma: 1.04679844 9 most relevant variable 14 corr 3.3692503 , in sigma: 1.04190905 10 most relevant variable 6 corr 2.7996428 , in sigma: 0.865763272 11 most relevant variable 8 corr 3.68379951 , in sigma: 1.13918044 12 most relevant variable 13 corr 2.41999793 , in sigma: 0.748361657 13 most relevant variable 7 corr 1.03416073 , in sigma: 0.319804505 global correlations between input variables: variable 2: 99.3719456 % variable 3: 95.9626774 % variable 4: 90.984743 % variable 5: 96.9006139 % variable 6: 95.2396049 % variable 7: 98.9481841 % variable 8: 90.3013408 % variable 9: 99.1715648 % variable 10: 74.9206282 % variable 11: 68.0278505 % variable 12: 73.5316737 % variable 13: 93.0526965 % variable 14: 90.065684 % significance loss when removing single variables: variable 2: corr = 5.88719262 % , sigma = 1.82055909 variable 3: corr = 3.07615112 % , sigma = 0.951270877 variable 4: corr = 16.8250145 % , sigma = 5.2029779 variable 5: corr = 5.98389906 % , sigma = 1.85046465 variable 6: corr = 3.73330565 % , sigma = 1.15448975 variable 7: corr = 1.03416072 % , sigma = 0.3198045 variable 8: corr = 2.68598352 % , sigma = 0.830615205 variable 9: corr = 4.45256875 % , sigma = 1.37691511 variable 10: corr = 3.56950784 % , sigma = 1.10383681 variable 11: corr = 7.1757923 % , sigma = 2.21904645 variable 12: corr = 21.5993385 % , sigma = 6.67939278 variable 13: corr = 2.44687704 % , sigma = 0.756673771 variable 14: corr = 4.45961074 % , sigma = 1.37909278 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 4.70047998 sigma out 15 active outputs RANK 2 NODE 4 --> 3.8036871 sigma out 15 active outputs RANK 3 NODE 1 --> 3.35424423 sigma out 15 active outputs RANK 4 NODE 3 --> 3.18755364 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 4.20228243 sigma in 4act. ( 5.1991806 sig out 1act.) RANK 2 NODE 2 --> 3.7415092 sigma in 4act. ( 4.52253675 sig out 1act.) RANK 3 NODE 12 --> 2.80559015 sigma in 4act. ( 3.28533602 sig out 1act.) RANK 4 NODE 4 --> 2.29598331 sigma in 4act. ( 3.02522278 sig out 1act.) RANK 5 NODE 13 --> 2.07526183 sigma in 4act. ( 2.64017606 sig out 1act.) RANK 6 NODE 11 --> 1.25346756 sigma in 4act. ( 1.19825101 sig out 1act.) RANK 7 NODE 9 --> 1.25135648 sigma in 4act. ( 1.9366864 sig out 1act.) RANK 8 NODE 15 --> 1.23758543 sigma in 4act. ( 1.67753506 sig out 1act.) RANK 9 NODE 8 --> 1.17391515 sigma in 4act. ( 1.33869493 sig out 1act.) RANK 10 NODE 7 --> 0.907900333 sigma in 4act. ( 0.946778953 sig out 1act.) RANK 11 NODE 5 --> 0.797079563 sigma in 4act. ( 0.927940786 sig out 1act.) RANK 12 NODE 1 --> 0.652355433 sigma in 4act. ( 0.283276021 sig out 1act.) RANK 13 NODE 3 --> 0.635699451 sigma in 4act. ( 0.206030816 sig out 1act.) RANK 14 NODE 14 --> 0.611381769 sigma in 4act. ( 0.671920419 sig out 1act.) RANK 15 NODE 10 --> 0.395582676 sigma in 4act. ( 0.0463694744 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 5.1991806 sigma out 1act.( 4.20228243 sig in 4act.) RANK 2 NODE 2 --> 4.52253675 sigma out 1act.( 3.7415092 sig in 4act.) RANK 3 NODE 12 --> 3.28533602 sigma out 1act.( 2.80559015 sig in 4act.) RANK 4 NODE 4 --> 3.02522278 sigma out 1act.( 2.29598331 sig in 4act.) RANK 5 NODE 13 --> 2.64017606 sigma out 1act.( 2.07526183 sig in 4act.) RANK 6 NODE 9 --> 1.9366864 sigma out 1act.( 1.25135648 sig in 4act.) RANK 7 NODE 15 --> 1.67753506 sigma out 1act.( 1.23758543 sig in 4act.) RANK 8 NODE 8 --> 1.33869493 sigma out 1act.( 1.17391515 sig in 4act.) RANK 9 NODE 11 --> 1.19825101 sigma out 1act.( 1.25346756 sig in 4act.) RANK 10 NODE 7 --> 0.946778953 sigma out 1act.( 0.907900333 sig in 4act.) RANK 11 NODE 5 --> 0.927940786 sigma out 1act.( 0.797079563 sig in 4act.) RANK 12 NODE 14 --> 0.671920419 sigma out 1act.( 0.611381769 sig in 4act.) RANK 13 NODE 1 --> 0.283276021 sigma out 1act.( 0.652355433 sig in 4act.) RANK 14 NODE 3 --> 0.206030816 sigma out 1act.( 0.635699451 sig in 4act.) RANK 15 NODE 10 --> 0.0463694744 sigma out 1act.( 0.395582676 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 9.30200672 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 12.6551905 sigma out 15 active outputs RANK 2 NODE 1 --> 8.96958065 sigma out 15 active outputs RANK 3 NODE 2 --> 6.02928448 sigma out 15 active outputs RANK 4 NODE 4 --> 5.8816328 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 6.19514894 sigma in 4act. ( 2.86976457 sig out 1act.) RANK 2 NODE 2 --> 6.10687399 sigma in 4act. ( 5.20468092 sig out 1act.) RANK 3 NODE 14 --> 6.06886768 sigma in 4act. ( 2.49507713 sig out 1act.) RANK 4 NODE 6 --> 6.04620457 sigma in 4act. ( 5.87306595 sig out 1act.) RANK 5 NODE 7 --> 6.04467869 sigma in 4act. ( 2.92242408 sig out 1act.) RANK 6 NODE 8 --> 5.36630344 sigma in 4act. ( 2.70618391 sig out 1act.) RANK 7 NODE 12 --> 4.45960188 sigma in 4act. ( 2.93431258 sig out 1act.) RANK 8 NODE 11 --> 4.285254 sigma in 4act. ( 1.52948368 sig out 1act.) RANK 9 NODE 9 --> 3.59016085 sigma in 4act. ( 3.55833244 sig out 1act.) RANK 10 NODE 1 --> 3.24625587 sigma in 4act. ( 0.800225198 sig out 1act.) RANK 11 NODE 13 --> 3.09240365 sigma in 4act. ( 2.78256917 sig out 1act.) RANK 12 NODE 3 --> 2.95166039 sigma in 4act. ( 0.699288368 sig out 1act.) RANK 13 NODE 4 --> 2.92125916 sigma in 4act. ( 2.88299799 sig out 1act.) RANK 14 NODE 10 --> 2.69785094 sigma in 4act. ( 0.594857275 sig out 1act.) RANK 15 NODE 15 --> 1.17894483 sigma in 4act. ( 1.00428784 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 5.87306595 sigma out 1act.( 6.04620457 sig in 4act.) RANK 2 NODE 2 --> 5.20468092 sigma out 1act.( 6.10687399 sig in 4act.) RANK 3 NODE 9 --> 3.55833244 sigma out 1act.( 3.59016085 sig in 4act.) RANK 4 NODE 12 --> 2.93431258 sigma out 1act.( 4.45960188 sig in 4act.) RANK 5 NODE 7 --> 2.92242408 sigma out 1act.( 6.04467869 sig in 4act.) RANK 6 NODE 4 --> 2.88299799 sigma out 1act.( 2.92125916 sig in 4act.) RANK 7 NODE 5 --> 2.86976457 sigma out 1act.( 6.19514894 sig in 4act.) RANK 8 NODE 13 --> 2.78256917 sigma out 1act.( 3.09240365 sig in 4act.) RANK 9 NODE 8 --> 2.70618391 sigma out 1act.( 5.36630344 sig in 4act.) RANK 10 NODE 14 --> 2.49507713 sigma out 1act.( 6.06886768 sig in 4act.) RANK 11 NODE 11 --> 1.52948368 sigma out 1act.( 4.285254 sig in 4act.) RANK 12 NODE 15 --> 1.00428784 sigma out 1act.( 1.17894483 sig in 4act.) RANK 13 NODE 1 --> 0.800225198 sigma out 1act.( 3.24625587 sig in 4act.) RANK 14 NODE 3 --> 0.699288368 sigma out 1act.( 2.95166039 sig in 4act.) RANK 15 NODE 10 --> 0.594857275 sigma out 1act.( 2.69785094 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.5785999 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.550579786 *** contribution from regularisation: 0.0292017348 *** contribution from error: -0.579781532 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.594749033 *** contribution from regularisation: 0.00746762985 *** contribution from error: -0.602216661 *********************************************** -----------------> Test sample ENTER BFGS code START -3006.36702 0.676059902 0.0139218858 EXIT FROM BFGS code FG_START 0. 0.676059902 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.603338361 *** contribution from regularisation: 0.00537638133 *** contribution from error: -0.608714759 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3049.2721 0.676059902 -0.861130297 EXIT FROM BFGS code FG_LNSRCH 0. 0.632044017 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.607539177 *** contribution from regularisation: 0.00620326819 *** contribution from error: -0.613742471 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3070.50313 0.632044017 0.518965781 EXIT FROM BFGS code NEW_X -3070.50313 0.632044017 0.518965781 ENTER BFGS code NEW_X -3070.50313 0.632044017 0.518965781 EXIT FROM BFGS code FG_LNSRCH 0. 0.638682365 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.609074771 *** contribution from regularisation: 0.0060070185 *** contribution from error: -0.615081787 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3078.26395 0.638682365 -1.08203292 EXIT FROM BFGS code NEW_X -3078.26395 0.638682365 -1.08203292 ENTER BFGS code NEW_X -3078.26395 0.638682365 -1.08203292 EXIT FROM BFGS code FG_LNSRCH 0. 0.610648811 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.609660685 *** contribution from regularisation: 0.00544584356 *** contribution from error: -0.615106523 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3081.22516 0.610648811 -2.7876451 EXIT FROM BFGS code FG_LNSRCH 0. 0.498514742 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.605405688 *** contribution from regularisation: 0.00572723476 *** contribution from error: -0.61113292 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3059.72023 0.498514742 -4.57223797 EXIT FROM BFGS code FG_LNSRCH 0. 0.595014393 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.604249775 *** contribution from regularisation: 0.010808642 *** contribution from error: -0.615058422 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3053.87824 0.595014393 -0.939428687 EXIT FROM BFGS code FG_LNSRCH 0. 0.610384107 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.609605312 *** contribution from regularisation: 0.00550071662 *** contribution from error: -0.615106046 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3080.94517 0.610384107 -2.45075321 EXIT FROM BFGS code FG_LNSRCH 0. 0.610648811 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 5.29737425 sigma out 15 active outputs RANK 2 NODE 2 --> 5.18846703 sigma out 15 active outputs RANK 3 NODE 1 --> 4.25404406 sigma out 15 active outputs RANK 4 NODE 4 --> 2.15725565 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 3.955796 sigma in 4act. ( 2.85347915 sig out 1act.) RANK 2 NODE 8 --> 3.14855552 sigma in 4act. ( 1.96675432 sig out 1act.) RANK 3 NODE 7 --> 3.11627841 sigma in 4act. ( 1.82133222 sig out 1act.) RANK 4 NODE 5 --> 2.95921493 sigma in 4act. ( 1.67799652 sig out 1act.) RANK 5 NODE 14 --> 2.71002102 sigma in 4act. ( 1.46275103 sig out 1act.) RANK 6 NODE 6 --> 2.16460037 sigma in 4act. ( 0.947979808 sig out 1act.) RANK 7 NODE 4 --> 2.13860416 sigma in 4act. ( 1.38929713 sig out 1act.) RANK 8 NODE 9 --> 2.00771761 sigma in 4act. ( 1.03495991 sig out 1act.) RANK 9 NODE 13 --> 1.91949725 sigma in 4act. ( 1.09406054 sig out 1act.) RANK 10 NODE 11 --> 1.86907184 sigma in 4act. ( 0.958103895 sig out 1act.) RANK 11 NODE 12 --> 1.54602087 sigma in 4act. ( 0.700092077 sig out 1act.) RANK 12 NODE 1 --> 1.12138808 sigma in 4act. ( 0.27673021 sig out 1act.) RANK 13 NODE 3 --> 1.01633763 sigma in 4act. ( 0.244741634 sig out 1act.) RANK 14 NODE 10 --> 0.913458943 sigma in 4act. ( 0.170774072 sig out 1act.) RANK 15 NODE 15 --> 0.613130093 sigma in 4act. ( 0.285197765 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 2.85347915 sigma out 1act.( 3.955796 sig in 4act.) RANK 2 NODE 8 --> 1.96675432 sigma out 1act.( 3.14855552 sig in 4act.) RANK 3 NODE 7 --> 1.82133222 sigma out 1act.( 3.11627841 sig in 4act.) RANK 4 NODE 5 --> 1.67799652 sigma out 1act.( 2.95921493 sig in 4act.) RANK 5 NODE 14 --> 1.46275103 sigma out 1act.( 2.71002102 sig in 4act.) RANK 6 NODE 4 --> 1.38929713 sigma out 1act.( 2.13860416 sig in 4act.) RANK 7 NODE 13 --> 1.09406054 sigma out 1act.( 1.91949725 sig in 4act.) RANK 8 NODE 9 --> 1.03495991 sigma out 1act.( 2.00771761 sig in 4act.) RANK 9 NODE 11 --> 0.958103895 sigma out 1act.( 1.86907184 sig in 4act.) RANK 10 NODE 6 --> 0.947979808 sigma out 1act.( 2.16460037 sig in 4act.) RANK 11 NODE 12 --> 0.700092077 sigma out 1act.( 1.54602087 sig in 4act.) RANK 12 NODE 15 --> 0.285197765 sigma out 1act.( 0.613130093 sig in 4act.) RANK 13 NODE 1 --> 0.27673021 sigma out 1act.( 1.12138808 sig in 4act.) RANK 14 NODE 3 --> 0.244741634 sigma out 1act.( 1.01633763 sig in 4act.) RANK 15 NODE 10 --> 0.170774072 sigma out 1act.( 0.913458943 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 5.19952154 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.608488142 *** contribution from regularisation: 0.00661839545 *** contribution from error: -0.615106523 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3075.29908 0.610648811 -2.17519689 EXIT FROM BFGS code NEW_X -3075.29908 0.610648811 -2.17519689 ENTER BFGS code NEW_X -3075.29908 0.610648811 -2.17519689 EXIT FROM BFGS code CONVERGENC -3075.29908 0.610648811 -2.17519689 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 6.82011795 sigma out 15 active outputs RANK 2 NODE 3 --> 6.49547672 sigma out 15 active outputs RANK 3 NODE 1 --> 5.82846928 sigma out 15 active outputs RANK 4 NODE 4 --> 3.13746381 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 5.90098858 sigma in 4act. ( 4.89356089 sig out 1act.) RANK 2 NODE 8 --> 4.33342981 sigma in 4act. ( 3.08246756 sig out 1act.) RANK 3 NODE 7 --> 4.14161015 sigma in 4act. ( 2.82113314 sig out 1act.) RANK 4 NODE 5 --> 3.86413717 sigma in 4act. ( 2.54395843 sig out 1act.) RANK 5 NODE 14 --> 3.40550447 sigma in 4act. ( 2.17360163 sig out 1act.) RANK 6 NODE 4 --> 2.72781062 sigma in 4act. ( 2.30158067 sig out 1act.) RANK 7 NODE 6 --> 2.42333961 sigma in 4act. ( 1.41382337 sig out 1act.) RANK 8 NODE 9 --> 2.40372229 sigma in 4act. ( 1.58605802 sig out 1act.) RANK 9 NODE 13 --> 2.25820899 sigma in 4act. ( 1.71738422 sig out 1act.) RANK 10 NODE 11 --> 2.18772221 sigma in 4act. ( 1.381387 sig out 1act.) RANK 11 NODE 12 --> 1.7090956 sigma in 4act. ( 1.03798938 sig out 1act.) RANK 12 NODE 1 --> 1.09858954 sigma in 4act. ( 0.385605216 sig out 1act.) RANK 13 NODE 3 --> 0.991628647 sigma in 4act. ( 0.339481145 sig out 1act.) RANK 14 NODE 10 --> 0.88151747 sigma in 4act. ( 0.236534834 sig out 1act.) RANK 15 NODE 15 --> 0.610239446 sigma in 4act. ( 0.392123342 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 4.89356089 sigma out 1act.( 5.90098858 sig in 4act.) RANK 2 NODE 8 --> 3.08246756 sigma out 1act.( 4.33342981 sig in 4act.) RANK 3 NODE 7 --> 2.82113314 sigma out 1act.( 4.14161015 sig in 4act.) RANK 4 NODE 5 --> 2.54395843 sigma out 1act.( 3.86413717 sig in 4act.) RANK 5 NODE 4 --> 2.30158067 sigma out 1act.( 2.72781062 sig in 4act.) RANK 6 NODE 14 --> 2.17360163 sigma out 1act.( 3.40550447 sig in 4act.) RANK 7 NODE 13 --> 1.71738422 sigma out 1act.( 2.25820899 sig in 4act.) RANK 8 NODE 9 --> 1.58605802 sigma out 1act.( 2.40372229 sig in 4act.) RANK 9 NODE 6 --> 1.41382337 sigma out 1act.( 2.42333961 sig in 4act.) RANK 10 NODE 11 --> 1.381387 sigma out 1act.( 2.18772221 sig in 4act.) RANK 11 NODE 12 --> 1.03798938 sigma out 1act.( 1.7090956 sig in 4act.) RANK 12 NODE 15 --> 0.392123342 sigma out 1act.( 0.610239446 sig in 4act.) RANK 13 NODE 1 --> 0.385605216 sigma out 1act.( 1.09858954 sig in 4act.) RANK 14 NODE 3 --> 0.339481145 sigma out 1act.( 0.991628647 sig in 4act.) RANK 15 NODE 10 --> 0.236534834 sigma out 1act.( 0.88151747 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 8.29602718 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.607908487 *** contribution from regularisation: 0.00719807949 *** contribution from error: -0.615106583 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done