NNInput NNInputs_130.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= 184922 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 = 47490 nbkg = 137432 Bkg Entries: 137432 Sig Entries: 47490 Chosen entries: 47490 Signal fraction: 1 Background fraction: 0.345553 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 137432 Actual Signal Entries: 47490 Entries to split: 47490 Test with : 23745 Train with : 23745 ********************************************* * 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= 47490 for Signal Prepared event 0 for Signal with 47490 events ====Entry 0 Variable Ht : 151.435 Variable LepAPt : 41.3573 Variable LepBPt : 14.9662 Variable MetSigLeptonsJets : 5.83672 Variable MetSpec : 56.7846 Variable SumEtLeptonsJets : 94.6508 Variable VSumJetLeptonsPt : 42.3463 Variable addEt : 113.108 Variable dPhiLepSumMet : 2.38762 Variable dPhiLeptons : 0.421366 Variable dRLeptons : 0.581604 Variable lep1_E : 44.5356 Variable lep2_E : 14.9672 ===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 = 2130 Ht = 151.435 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 41.3573 LepAPt = 41.3573 LepBEt = 14.9662 LepBPt = 14.9662 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 56.7846 MetDelPhi = 1.62286 MetSig = 5.01275 MetSigLeptonsJets = 5.83672 MetSpec = 56.7846 Mjj = 0 MostCentralJetEta = 2.41678 MtllMet = 115.132 Njets = 1 SB = 0 SumEt = 128.324 SumEtJets = 0 SumEtLeptonsJets = 94.6508 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 42.3463 addEt = 113.108 dPhiLepSumMet = 2.38762 dPhiLeptons = 0.421366 dRLeptons = 0.581604 diltype = 55 dimass = 14.4601 event = 2096 jet1_Et = 38.3273 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.5356 lep2_E = 14.9672 rand = 0.999742 run = 195245 weight = 2.27324e-06 ===Show End Prepared event 10000 for Signal with 47490 events Prepared event 20000 for Signal with 47490 events Prepared event 30000 for Signal with 47490 events Prepared event 40000 for Signal with 47490 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 137432 for Background Prepared event 0 for Background with 137432 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.343502 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 137432 events Prepared event 20000 for Background with 137432 events Prepared event 30000 for Background with 137432 events Prepared event 40000 for Background with 137432 events Prepared event 50000 for Background with 137432 events Prepared event 60000 for Background with 137432 events Prepared event 70000 for Background with 137432 events Prepared event 80000 for Background with 137432 events Prepared event 90000 for Background with 137432 events Prepared event 100000 for Background with 137432 events Prepared event 110000 for Background with 137432 events Prepared event 120000 for Background with 137432 events Prepared event 130000 for Background with 137432 events Warning: found 4386 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 184922 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 4386 negative weights. Signal fraction: 62.8132095 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 60.0046387 62.7099876 64.9414368 66.7604523 67.9299774 69.1604462 70.2088394 71.1075821 71.9364548 72.8113708 73.5770569 74.2910538 74.9663696 75.5381622 76.2563477 76.8905487 77.4126282 78.1101685 78.7240906 79.3626328 79.9379349 80.6136017 81.2116013 81.9561462 82.5562439 83.3899536 84.303299 85.1601257 86.1260147 86.9146576 87.8331528 88.8658218 89.9505157 90.9988327 91.9918747 92.9788208 94.0243988 94.8360443 95.851593 96.9600067 97.995369 99.05159 99.9027023 101.044426 102.119492 103.210648 104.15567 105.219666 106.202713 107.108231 108.119194 109.184097 110.141136 111.028694 112.109825 113.242859 114.240448 115.28698 116.283623 117.32312 118.329987 119.441177 120.52597 121.679291 122.720497 123.973999 125.128387 126.372009 127.59256 128.882248 130.290161 131.768646 133.377243 134.930847 136.700058 138.359818 140.363464 142.286758 144.349915 146.403702 148.585388 150.815613 153.015198 155.413971 158.249786 161.184845 164.393219 167.92569 171.401855 175.206116 179.624695 184.727142 190.639236 197.691589 205.233734 214.005417 225.820068 239.445923 263.143616 302.876343 803.330627 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.302578 20.599926 20.8971901 21.1723709 21.4312363 21.6394043 21.8649025 22.0746765 22.2572403 22.4668179 22.662365 22.8162899 22.9948997 23.1925583 23.3825798 23.5685234 23.7590008 23.9731941 24.1961937 24.3995399 24.5921936 24.7897434 25.0025158 25.1966934 25.3416595 25.5646172 25.7314758 25.9375877 26.1329613 26.333477 26.5025024 26.695652 26.8848991 27.0983562 27.2412262 27.4499588 27.661705 27.8614235 28.0475922 28.2639542 28.4735775 28.6702576 28.8381119 29.0486736 29.2105637 29.4434566 29.6896744 29.9083748 30.1489429 30.3840408 30.5985107 30.7995205 31.0438061 31.2735653 31.4933681 31.711235 31.9708405 32.2134399 32.4850845 32.7183495 32.9870987 33.2232399 33.4929886 33.7870026 34.0740433 34.3530731 34.6583328 35.0015106 35.3356705 35.6287689 35.9741974 36.3334885 36.6752853 36.9981499 37.3901672 37.8162537 38.2291565 38.6829605 39.1509094 39.6158867 40.1224289 40.6559982 41.2013702 41.7617569 42.4435577 43.0930405 43.8835068 44.68396 45.6521721 46.5568237 47.5832443 48.7278175 50.2047119 51.708374 53.6877289 56.3572769 59.6984024 64.5580597 74.0673294 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1155453 10.2389812 10.3519669 10.4451303 10.548213 10.6747627 10.7953424 10.9226294 11.0433788 11.1608391 11.2847834 11.4053011 11.5037804 11.6169281 11.731411 11.8360386 11.9545612 12.0792217 12.2118359 12.3417053 12.4901924 12.6090794 12.7457695 12.84445 12.9768143 13.1296444 13.2785339 13.4190493 13.5742092 13.7119064 13.8365211 13.9747391 14.1036873 14.2705002 14.43009 14.5867863 14.7568007 14.9089108 15.0817318 15.2165565 15.3805361 15.5297775 15.693409 15.8561649 16.0159607 16.2194004 16.4087791 16.5868549 16.7653713 16.9401588 17.1142883 17.3148384 17.5184288 17.7070637 17.9267464 18.1614227 18.370224 18.5815811 18.7911739 18.999752 19.2023983 19.4327297 19.6801453 19.9151154 20.1092262 20.2498932 20.4587097 20.6663647 20.8731728 21.0886154 21.3107052 21.5536919 21.7669792 21.9939671 22.2665157 22.5280399 22.8341827 23.107996 23.3857899 23.6769066 23.9860802 24.307415 24.6142578 24.9892845 25.3550949 25.7453537 26.1543007 26.5246735 26.9980774 27.5177555 28.0447502 28.6304245 29.3257999 30.1225357 31.0581284 32.195755 33.7515526 36.3877563 41.6074944 96.738121 ------------------------------ Transdef: Tab for variable 5 0.978936255 2.44614077 2.85061264 3.13455153 3.35812211 3.54400921 3.7275455 3.88650131 4.030509 4.14479256 4.24150085 4.34690332 4.4438653 4.53907681 4.62268162 4.68943882 4.76521063 4.84439945 4.91890049 4.98531914 5.05098915 5.11698437 5.16735506 5.22641468 5.28723049 5.34584045 5.4033637 5.45298958 5.49722672 5.53871107 5.57728004 5.6209631 5.66582346 5.71226692 5.7596221 5.80088377 5.84333229 5.88929415 5.93037128 5.96743441 6.00710869 6.04949856 6.09430313 6.13445807 6.17743683 6.21764278 6.25309181 6.28255653 6.31810474 6.36947632 6.40887642 6.44928265 6.48829651 6.52677822 6.56985521 6.60958815 6.64632416 6.68276501 6.72434711 6.76662922 6.80689144 6.85007954 6.88021278 6.92847347 6.97769737 7.02335835 7.06418705 7.10931873 7.15908241 7.19825411 7.23400116 7.27812815 7.31674671 7.36558723 7.40254498 7.448071 7.50032282 7.54658461 7.59611416 7.64738321 7.70059013 7.7593708 7.81990767 7.87718201 7.93051434 7.99695301 8.07078743 8.13559532 8.20750809 8.27051353 8.36646938 8.46684647 8.56668663 8.69910622 8.83663177 8.99539566 9.19843674 9.45591927 9.842659 10.5816898 20.0349483 ------------------------------ Transdef: Tab for variable 6 15.0048428 19.6912003 24.3348961 25.8014603 26.6461296 27.4842834 28.2408066 28.9868717 29.5616055 30.2875519 30.8912773 31.4225063 31.9267426 32.4240265 32.9488716 33.4213409 33.8421288 34.2943726 34.7219887 34.9992867 35.428894 35.7864761 36.1202164 36.465477 36.7812042 37.1062737 37.4763908 37.8184891 38.2039337 38.5256271 38.8417511 39.2187195 39.6263237 39.9783401 40.2937393 40.6071968 40.9514542 41.3161201 41.7162933 42.0813065 42.458271 42.872654 43.2155304 43.6085587 43.9577141 44.3591766 44.7376099 45.1507263 45.6092567 45.9773331 46.5100098 47.0025902 47.3869476 47.877655 48.26791 48.7717972 49.2212601 49.6372147 50.0880089 50.4557343 50.8945084 51.4866333 51.9607315 52.4513855 52.9508591 53.4356804 53.9387436 54.4115143 54.9384537 55.4161987 55.9162216 56.4538422 56.9578438 57.5030899 58.0398026 58.5353317 59.0951653 59.657795 60.2466888 60.8585701 61.465847 62.1659241 62.8336868 63.5789642 64.2950897 65.1020203 65.8983002 66.8557053 67.9712067 69.0877686 70.2862549 71.7591782 73.3421249 75.2844925 77.518898 80.3847504 83.728775 88.1037445 94.1217804 105.404388 276.654266 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.7594986 33.7343445 34.3393669 34.89077 35.4067612 35.8207626 36.273716 36.7420959 37.1364059 37.5197067 37.8240051 38.1083412 38.4175835 38.7438431 39.0196152 39.2790146 39.5689049 39.8928528 40.1689835 40.4663849 40.8193321 41.1904602 41.4835701 41.8937454 42.2265511 42.6704941 43.0224533 43.5206604 44.0413589 44.5206757 44.9335938 45.4655304 46.0044785 46.6316681 47.2338409 47.7946472 48.4224167 49.0207062 49.5526657 50.1804886 50.8182068 51.5041504 52.1343689 52.7585373 53.3303795 53.9767647 54.6730461 55.3235321 55.949707 56.5030518 57.1144943 57.733429 58.3793869 58.9946861 59.7174301 60.382782 61.1049881 61.7910843 62.5475006 63.2552795 63.9968033 64.8232574 65.6359634 66.5779037 67.7414398 68.9026337 70.195343 71.4815445 72.8246689 73.9476624 75.2241898 76.7218628 78.1208954 79.5538559 81.0150681 82.5407104 84.2723846 85.9916382 87.586731 89.409523 91.504837 93.5891418 95.9112549 98.0883026 100.631821 103.28775 106.297699 109.70253 113.402023 117.160622 121.520828 126.37925 131.626953 138.054169 145.452728 155.587708 167.859604 186.82515 217.363052 528.532349 ------------------------------ Transdef: Tab for variable 8 1.54187214 22.664463 27.4386063 29.7045441 31.0905533 32.0430222 32.7737465 33.2034912 33.7162857 34.0674057 34.450798 34.8314095 35.1847763 35.4953537 35.8676796 36.1938477 36.4928055 36.7696457 37.0412216 37.2846451 37.5618134 37.8217697 38.0407295 38.2655411 38.5357246 38.7764816 39.050354 39.3087616 39.5907059 39.8350258 40.1146355 40.3831444 40.7113571 41.0338058 41.3221169 41.6680908 42.0219955 42.319912 42.6656075 43.0086594 43.387722 43.7264137 44.0709076 44.4284821 44.8390579 45.1962357 45.6497536 46.0945625 46.5522919 46.9765854 47.3909607 47.8174057 48.2546616 48.6289978 49.0427933 49.4447784 49.9406738 50.4021988 50.8478088 51.268425 51.7154388 52.1993408 52.6481247 53.0619659 53.5349312 53.9764099 54.4387894 54.8894577 55.3890991 55.8904877 56.4025803 56.887104 57.3946915 57.8990288 58.4079742 58.9038277 59.4923859 60.1055717 60.6868744 61.2874336 61.9197884 62.6151428 63.3057175 64.0713577 64.8755493 65.7190399 66.7168961 67.7331009 68.9225464 70.1799011 71.6108475 73.258049 75.2814178 77.3738251 79.80616 82.8240814 86.5665588 91.4554977 98.1658783 113.164825 326.868286 ------------------------------ Transdef: Tab for variable 9 49.6214828 62.3273926 64.2147064 65.9979553 67.2038574 68.3022461 69.2885895 70.2084961 70.998848 71.7106934 72.5025024 73.2075195 73.8699722 74.4142609 75.0303955 75.5325089 76.1220856 76.6545258 77.1355743 77.6628418 78.2042236 78.7219696 79.2794266 79.7738037 80.2956772 80.8544312 81.3336029 81.9799042 82.5562439 83.1564026 83.7146454 84.5058899 85.1898804 86.0188065 86.6136322 87.2903137 87.9986572 88.7364655 89.4713898 90.2003174 90.995079 91.7916107 92.6412964 93.3212967 94.1736603 94.8686447 95.6600113 96.5303345 97.4213867 98.3202744 99.0510254 99.80336 100.681335 101.451591 102.232399 103.031944 103.840591 104.608574 105.362534 106.211693 106.897293 107.707176 108.51004 109.203476 109.949806 110.648239 111.442154 112.232941 113.075775 113.777557 114.544006 115.234322 116.024521 116.803085 117.6464 118.408401 119.198532 120.023766 120.85257 121.715569 122.536804 123.464539 124.390091 125.347275 126.287247 127.324577 128.375458 129.506912 130.820465 132.118073 133.667374 135.391464 137.536682 140.025208 142.956085 146.828857 151.125641 158.025116 169.098434 190.099792 548.171204 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.951182485 1.2071476 1.40499127 1.56344974 1.69953132 1.80565619 1.89872777 1.98470283 2.05894947 2.12604117 2.18576241 2.2439568 2.2943809 2.3368206 2.3821094 2.4199338 2.45367479 2.48701882 2.5181179 2.54762173 2.57546997 2.60033441 2.62270808 2.64763474 2.67165899 2.69488049 2.7165308 2.73468304 2.75292397 2.77005243 2.7846427 2.79953671 2.81391096 2.82870841 2.84007168 2.85152912 2.86360979 2.87425566 2.88311625 2.89210868 2.90050793 2.91061115 2.91929579 2.92579699 2.93321657 2.9414494 2.94851565 2.95466185 2.96054173 2.96710443 2.97287464 2.97803926 2.98312759 2.98728585 2.99250174 2.99792576 3.00331497 3.00834346 3.01344824 3.01801538 3.02251911 3.02632046 3.0306921 3.03468108 3.03849173 3.04220366 3.04639292 3.05027056 3.05398798 3.05765915 3.06132698 3.06483507 3.06786966 3.07116795 3.07377672 3.07655621 3.07958269 3.08255672 3.08556604 3.08877659 3.0918355 3.09490013 3.09784007 3.10097909 3.10353041 3.10627794 3.10881281 3.11126661 3.11400008 3.11627316 3.11892414 3.12173462 3.12447286 3.12723255 3.12942171 3.13198614 3.13408256 3.13643026 3.13908386 3.14159226 ------------------------------ Transdef: Tab for variable 11 2.86871432E-06 0.00568085909 0.0115476288 0.0196305551 0.0265953541 0.0342637822 0.04312253 0.0516560972 0.0592052378 0.0671470165 0.0752704367 0.0837564468 0.0917215645 0.098897934 0.106434405 0.114770889 0.122581929 0.13023746 0.138410598 0.146052837 0.154160023 0.161169767 0.168209434 0.175552279 0.182840645 0.189435571 0.19639796 0.20314455 0.210014343 0.216457248 0.222557247 0.229450464 0.235039711 0.241348863 0.247738481 0.253410816 0.259348869 0.264577031 0.269568503 0.276282072 0.282456517 0.288377047 0.293778419 0.299706995 0.305087149 0.310804367 0.316581726 0.322903007 0.328901649 0.334538281 0.340307593 0.346094608 0.351235867 0.3573699 0.362244844 0.368444085 0.374188244 0.379553795 0.385425627 0.390014321 0.395326793 0.401390851 0.407795161 0.413140297 0.419127345 0.425048172 0.430251241 0.436033279 0.442075491 0.447875172 0.453569412 0.459585309 0.46618855 0.47183612 0.477819622 0.484861255 0.492345095 0.499215961 0.506246686 0.514218926 0.521078408 0.529834628 0.538764954 0.547923326 0.555686712 0.564825177 0.575217009 0.584547818 0.596486449 0.607581496 0.619489551 0.632939935 0.646012902 0.66202718 0.681914806 0.703688502 0.726452589 0.754648805 0.791863143 0.845311522 1.14136529 ------------------------------ Transdef: Tab for variable 12 0.102435134 0.19583109 0.220674589 0.239282072 0.252650589 0.263220489 0.274558455 0.285009801 0.294244915 0.303942442 0.312989533 0.321794778 0.329851985 0.337274432 0.345388412 0.351059556 0.357999384 0.364982337 0.371603221 0.377727598 0.384060293 0.389598906 0.395586252 0.400692821 0.405267954 0.410122871 0.41441986 0.418782949 0.422798097 0.426883668 0.430677056 0.434783101 0.438167274 0.442496479 0.446356982 0.450499058 0.454675674 0.458542287 0.461723715 0.465635687 0.469292581 0.472799003 0.476739526 0.480502665 0.483880997 0.487875402 0.491576374 0.49581185 0.499677539 0.50328809 0.507522106 0.511366606 0.514922976 0.519345403 0.523402989 0.527736366 0.53174758 0.536551476 0.540537119 0.545299053 0.549893916 0.555002511 0.559210658 0.563265085 0.568213463 0.572924316 0.578392625 0.583723068 0.588077664 0.593049169 0.598083377 0.60325563 0.607875645 0.614035249 0.61997664 0.6262151 0.632675409 0.637856722 0.645216703 0.651128888 0.657766938 0.663736224 0.67054671 0.678495347 0.685470819 0.695192218 0.702665389 0.711326897 0.719920874 0.727580547 0.738576651 0.748908401 0.758238435 0.771970093 0.786704183 0.800363064 0.819105268 0.841537952 0.872419119 0.915789902 1.14755547 ------------------------------ Transdef: Tab for variable 13 20.0080433 21.3560486 22.1916485 22.7821598 23.3063354 23.8028679 24.295372 24.7651329 25.1667709 25.6048546 26.0054798 26.3981247 26.7681808 27.1366234 27.4700508 27.8026695 28.1586227 28.4674644 28.7660122 29.0765972 29.3748188 29.6254559 29.9486485 30.222477 30.5097294 30.7933521 31.0352058 31.3332329 31.5519142 31.8578415 32.1815491 32.4636383 32.7661629 33.0586319 33.3817444 33.6504707 33.9523201 34.2726212 34.5448303 34.8450241 35.0892181 35.4104233 35.6916275 36.0088921 36.2709732 36.5961838 36.9701309 37.2737045 37.5980759 37.9070816 38.2838135 38.6444321 39.0370178 39.4441071 39.7991638 40.1850357 40.6182938 41.0392227 41.433979 41.8819313 42.3407364 42.8066444 43.2331696 43.7510605 44.251564 44.7762299 45.3300095 45.857975 46.4352875 46.9080582 47.4678421 48.0245132 48.676033 49.3575439 50.0813522 50.783287 51.492836 52.1865311 53.0339012 53.9140396 54.8175507 55.630455 56.714817 57.6049881 58.6179276 59.7425728 60.8923035 62.3649597 63.8594208 65.2912292 66.8882904 68.7865982 70.8459778 73.5501175 76.7581482 80.0291901 83.884903 89.067276 94.8554993 105.616867 381.504089 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.6491089 11.060257 11.3900642 11.6975574 11.9660397 12.2427235 12.472806 12.7115002 13.0140991 13.2627239 13.5147591 13.7185078 13.9318876 14.1889381 14.4347382 14.6424408 14.8796597 15.1332207 15.3345795 15.5544167 15.7735424 16.0076466 16.256691 16.4673977 16.665947 16.8987885 17.1244278 17.3691368 17.6212502 17.8153076 18.0037346 18.188942 18.4315128 18.6422424 18.8301773 19.0745392 19.2859726 19.5305481 19.7841263 20.0140514 20.2191219 20.4897118 20.6620235 20.8835945 21.1168289 21.3447876 21.605732 21.7881184 21.9872932 22.2100964 22.4482422 22.6822872 22.9466133 23.1880474 23.4443226 23.6983757 23.9441643 24.2287617 24.5108433 24.7839127 25.0535088 25.3326607 25.5557289 25.8210888 26.0872993 26.4079628 26.6958008 27.0382938 27.3253021 27.6498146 27.9885979 28.3284073 28.6699009 29.0665569 29.4235878 29.8204098 30.2442436 30.6805954 31.1263084 31.620327 32.1217842 32.6181412 33.202446 33.8119812 34.4036331 35.0491791 35.8222427 36.5418091 37.4274521 38.4582214 39.4634552 40.5289154 41.8433151 43.6893234 45.0727539 47.4593735 50.0105743 54.4776268 62.0940247 133.285568 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 56.8 37.8 38.7 11.3 34.5 55.0 41.4 52.3 -29.7 -11.8 -26.3 5.8 10.0 2 56.8 100.0 63.2 51.9 18.2 59.3 94.2 66.0 90.0 -50.5 -23.8 -45.4 30.0 24.3 3 37.8 63.2 100.0 29.4 -3.8 25.3 66.3 47.1 69.3 -18.7 -24.3 -48.7 63.8 10.3 4 38.7 51.9 29.4 100.0 1.7 24.5 53.3 40.6 57.0 -15.0 -27.1 -55.6 10.3 69.3 5 11.3 18.2 -3.8 1.7 100.0 80.8 -9.8 46.1 44.9 30.4 -2.3 -0.2 -9.9 -4.3 6 34.5 59.3 25.3 24.5 80.8 100.0 36.9 72.9 74.6 -3.6 -12.3 -20.2 6.0 7.8 7 55.0 94.2 66.3 53.3 -9.8 36.9 100.0 58.4 77.7 -57.8 -22.5 -45.5 33.7 26.4 8 41.4 66.0 47.1 40.6 46.1 72.9 58.4 100.0 77.5 -10.4 -21.0 -36.1 21.7 19.1 9 52.3 90.0 69.3 57.0 44.9 74.6 77.7 77.5 100.0 -24.4 -26.7 -51.5 35.1 28.7 10 -29.7 -50.5 -18.7 -15.0 30.4 -3.6 -57.8 -10.4 -24.4 100.0 5.6 11.1 -6.2 -5.1 11 -11.8 -23.8 -24.3 -27.1 -2.3 -12.3 -22.5 -21.0 -26.7 5.6 100.0 55.3 -10.7 -16.7 12 -26.3 -45.4 -48.7 -55.6 -0.2 -20.2 -45.5 -36.1 -51.5 11.1 55.3 100.0 -24.0 -31.0 13 5.8 30.0 63.8 10.3 -9.9 6.0 33.7 21.7 35.1 -6.2 -10.7 -24.0 100.0 39.3 14 10.0 24.3 10.3 69.3 -4.3 7.8 26.4 19.1 28.7 -5.1 -16.7 -31.0 39.3 100.0 TOTAL CORRELATION TO TARGET (diagonal) 129.601055 TOTAL CORRELATION OF ALL VARIABLES 61.7240586 ROUND 1: MAX CORR ( 61.7229119) AFTER KILLING INPUT VARIABLE 6 CONTR 0.376240439 ROUND 2: MAX CORR ( 61.697191) AFTER KILLING INPUT VARIABLE 11 CONTR 1.78170481 ROUND 3: MAX CORR ( 61.6351269) AFTER KILLING INPUT VARIABLE 7 CONTR 2.76667711 ROUND 4: MAX CORR ( 61.394739) AFTER KILLING INPUT VARIABLE 8 CONTR 5.4382804 ROUND 5: MAX CORR ( 61.1765477) AFTER KILLING INPUT VARIABLE 10 CONTR 5.1714599 ROUND 6: MAX CORR ( 60.9219041) AFTER KILLING INPUT VARIABLE 14 CONTR 5.57598282 ROUND 7: MAX CORR ( 60.6322849) AFTER KILLING INPUT VARIABLE 12 CONTR 5.93333187 ROUND 8: MAX CORR ( 60.1248402) AFTER KILLING INPUT VARIABLE 5 CONTR 7.82799835 ROUND 9: MAX CORR ( 60.0939377) AFTER KILLING INPUT VARIABLE 9 CONTR 1.92744962 ROUND 10: MAX CORR ( 59.2227059) AFTER KILLING INPUT VARIABLE 4 CONTR 10.1957079 ROUND 11: MAX CORR ( 57.9701238) AFTER KILLING INPUT VARIABLE 3 CONTR 12.1158424 ROUND 12: MAX CORR ( 56.7740237) AFTER KILLING INPUT VARIABLE 13 CONTR 11.7151819 LAST REMAINING VARIABLE: 2 total correlation to target: 61.7240586 % total significance: 120.347492 sigma correlations of single variables to target: variable 2: 56.7740237 % , in sigma: 110.69608 variable 3: 37.8271862 % , in sigma: 73.7541743 variable 4: 38.6627545 % , in sigma: 75.3833372 variable 5: 11.304357 % , in sigma: 22.0408547 variable 6: 34.4811734 % , in sigma: 67.2302311 variable 7: 55.0321961 % , in sigma: 107.299923 variable 8: 41.3950654 % , in sigma: 80.710705 variable 9: 52.3287956 % , in sigma: 102.028924 variable 10: -29.7156611 % , in sigma: 57.9385956 variable 11: -11.8067708 % , in sigma: 23.0204442 variable 12: -26.3294326 % , in sigma: 51.3362414 variable 13: 5.82825267 % , in sigma: 11.3637309 variable 14: 10.033673 % , in sigma: 19.5633178 variables sorted by significance: 1 most relevant variable 2 corr 56.774025 , in sigma: 110.696083 2 most relevant variable 13 corr 11.7151823 , in sigma: 22.8418681 3 most relevant variable 3 corr 12.1158428 , in sigma: 23.6230625 4 most relevant variable 4 corr 10.1957083 , in sigma: 19.8792488 5 most relevant variable 9 corr 1.92744958 , in sigma: 3.75807631 6 most relevant variable 5 corr 7.82799816 , in sigma: 15.2627673 7 most relevant variable 12 corr 5.93333197 , in sigma: 11.5686109 8 most relevant variable 14 corr 5.57598305 , in sigma: 10.871864 9 most relevant variable 10 corr 5.17145967 , in sigma: 10.083138 10 most relevant variable 8 corr 5.43828058 , in sigma: 10.6033764 11 most relevant variable 7 corr 2.76667714 , in sigma: 5.39437395 12 most relevant variable 11 corr 1.78170478 , in sigma: 3.47390801 13 most relevant variable 6 corr 0.376240432 , in sigma: 0.733580929 global correlations between input variables: variable 2: 99.1036719 % variable 3: 93.3793573 % variable 4: 91.175307 % variable 5: 95.114663 % variable 6: 93.9605971 % variable 7: 98.6745411 % variable 8: 86.2486448 % variable 9: 98.7698677 % variable 10: 72.710882 % variable 11: 56.3020397 % variable 12: 75.207669 % variable 13: 84.5318214 % variable 14: 86.7011961 % significance loss when removing single variables: variable 2: corr = 5.84520567 % , sigma = 11.3967852 variable 3: corr = 11.2773059 % , sigma = 21.9881114 variable 4: corr = 13.709661 % , sigma = 26.7306355 variable 5: corr = 7.57238709 % , sigma = 14.7643854 variable 6: corr = 0.376240439 % , sigma = 0.733580943 variable 7: corr = 2.60093172 % , sigma = 5.07120912 variable 8: corr = 3.52187032 % , sigma = 6.86682419 variable 9: corr = 7.21556057 % , sigma = 14.0686571 variable 10: corr = 5.28214003 % , sigma = 10.2989388 variable 11: corr = 1.78689301 % , sigma = 3.48402385 variable 12: corr = 4.18054743 % , sigma = 8.15109065 variable 13: corr = 7.18998774 % , sigma = 14.0187961 variable 14: corr = 5.43494913 % , sigma = 10.5968808 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 14.3784428 sigma out 15 active outputs RANK 2 NODE 7 --> 14.2202253 sigma out 15 active outputs RANK 3 NODE 9 --> 13.8572578 sigma out 15 active outputs RANK 4 NODE 4 --> 13.1684866 sigma out 15 active outputs RANK 5 NODE 11 --> 12.8660755 sigma out 15 active outputs RANK 6 NODE 12 --> 12.5339842 sigma out 15 active outputs RANK 7 NODE 10 --> 12.468214 sigma out 15 active outputs RANK 8 NODE 8 --> 11.9414301 sigma out 15 active outputs RANK 9 NODE 2 --> 11.1832886 sigma out 15 active outputs RANK 10 NODE 5 --> 8.88348293 sigma out 15 active outputs RANK 11 NODE 6 --> 8.68125916 sigma out 15 active outputs RANK 12 NODE 1 --> 8.34713745 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 23.6882172 sigma in 12act. ( 25.0682888 sig out 1act.) RANK 2 NODE 7 --> 16.1328278 sigma in 12act. ( 16.4953823 sig out 1act.) RANK 3 NODE 13 --> 12.5326977 sigma in 12act. ( 11.895318 sig out 1act.) RANK 4 NODE 11 --> 12.0000887 sigma in 12act. ( 12.7623167 sig out 1act.) RANK 5 NODE 2 --> 11.7926111 sigma in 12act. ( 10.7433777 sig out 1act.) RANK 6 NODE 5 --> 11.5947847 sigma in 12act. ( 13.1725626 sig out 1act.) RANK 7 NODE 9 --> 8.38630199 sigma in 12act. ( 9.27313805 sig out 1act.) RANK 8 NODE 14 --> 8.30114651 sigma in 12act. ( 8.7193737 sig out 1act.) RANK 9 NODE 1 --> 7.25289345 sigma in 12act. ( 3.57824278 sig out 1act.) RANK 10 NODE 15 --> 6.87073135 sigma in 12act. ( 7.61415148 sig out 1act.) RANK 11 NODE 4 --> 6.28377295 sigma in 12act. ( 7.50442839 sig out 1act.) RANK 12 NODE 6 --> 6.17568731 sigma in 12act. ( 7.78304434 sig out 1act.) RANK 13 NODE 12 --> 4.57644415 sigma in 12act. ( 5.03816223 sig out 1act.) RANK 14 NODE 8 --> 2.36318731 sigma in 12act. ( 2.38406777 sig out 1act.) RANK 15 NODE 10 --> 2.21807265 sigma in 12act. ( 3.70679975 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 25.0682888 sigma out 1act.( 23.6882172 sig in 12act.) RANK 2 NODE 7 --> 16.4953823 sigma out 1act.( 16.1328278 sig in 12act.) RANK 3 NODE 5 --> 13.1725626 sigma out 1act.( 11.5947847 sig in 12act.) RANK 4 NODE 11 --> 12.7623167 sigma out 1act.( 12.0000887 sig in 12act.) RANK 5 NODE 13 --> 11.895318 sigma out 1act.( 12.5326977 sig in 12act.) RANK 6 NODE 2 --> 10.7433777 sigma out 1act.( 11.7926111 sig in 12act.) RANK 7 NODE 9 --> 9.27313805 sigma out 1act.( 8.38630199 sig in 12act.) RANK 8 NODE 14 --> 8.7193737 sigma out 1act.( 8.30114651 sig in 12act.) RANK 9 NODE 6 --> 7.78304434 sigma out 1act.( 6.17568731 sig in 12act.) RANK 10 NODE 15 --> 7.61415148 sigma out 1act.( 6.87073135 sig in 12act.) RANK 11 NODE 4 --> 7.50442839 sigma out 1act.( 6.28377295 sig in 12act.) RANK 12 NODE 12 --> 5.03816223 sigma out 1act.( 4.57644415 sig in 12act.) RANK 13 NODE 10 --> 3.70679975 sigma out 1act.( 2.21807265 sig in 12act.) RANK 14 NODE 1 --> 3.57824278 sigma out 1act.( 7.25289345 sig in 12act.) RANK 15 NODE 8 --> 2.38406777 sigma out 1act.( 2.36318731 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.4548721 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 19.4251003 sigma out 15 active outputs RANK 2 NODE 3 --> 17.7997856 sigma out 15 active outputs RANK 3 NODE 9 --> 16.0790329 sigma out 15 active outputs RANK 4 NODE 7 --> 15.3754454 sigma out 15 active outputs RANK 5 NODE 4 --> 14.9372158 sigma out 15 active outputs RANK 6 NODE 12 --> 14.8051205 sigma out 15 active outputs RANK 7 NODE 11 --> 14.5043955 sigma out 15 active outputs RANK 8 NODE 10 --> 14.0381308 sigma out 15 active outputs RANK 9 NODE 8 --> 13.2485018 sigma out 15 active outputs RANK 10 NODE 1 --> 11.1170778 sigma out 15 active outputs RANK 11 NODE 6 --> 10.8963461 sigma out 15 active outputs RANK 12 NODE 5 --> 10.2115602 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 26.2497158 sigma in 12act. ( 24.3642368 sig out 1act.) RANK 2 NODE 7 --> 16.8571758 sigma in 12act. ( 15.5993166 sig out 1act.) RANK 3 NODE 5 --> 14.9956217 sigma in 12act. ( 13.3693419 sig out 1act.) RANK 4 NODE 11 --> 13.8377247 sigma in 12act. ( 12.0656929 sig out 1act.) RANK 5 NODE 13 --> 12.9847412 sigma in 12act. ( 11.3014088 sig out 1act.) RANK 6 NODE 10 --> 12.3740911 sigma in 12act. ( 6.90779543 sig out 1act.) RANK 7 NODE 6 --> 11.9852142 sigma in 12act. ( 8.50079155 sig out 1act.) RANK 8 NODE 2 --> 10.8534603 sigma in 12act. ( 9.58452034 sig out 1act.) RANK 9 NODE 15 --> 10.4084539 sigma in 12act. ( 7.80931616 sig out 1act.) RANK 10 NODE 9 --> 10.3099966 sigma in 12act. ( 9.46936607 sig out 1act.) RANK 11 NODE 4 --> 10.0638514 sigma in 12act. ( 7.92165995 sig out 1act.) RANK 12 NODE 14 --> 9.96894741 sigma in 12act. ( 8.79426861 sig out 1act.) RANK 13 NODE 12 --> 9.01203346 sigma in 12act. ( 5.88108873 sig out 1act.) RANK 14 NODE 1 --> 7.37763977 sigma in 12act. ( 2.48271441 sig out 1act.) RANK 15 NODE 8 --> 6.10872269 sigma in 12act. ( 3.18371773 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 24.3642368 sigma out 1act.( 26.2497158 sig in 12act.) RANK 2 NODE 7 --> 15.5993166 sigma out 1act.( 16.8571758 sig in 12act.) RANK 3 NODE 5 --> 13.3693419 sigma out 1act.( 14.9956217 sig in 12act.) RANK 4 NODE 11 --> 12.0656929 sigma out 1act.( 13.8377247 sig in 12act.) RANK 5 NODE 13 --> 11.3014088 sigma out 1act.( 12.9847412 sig in 12act.) RANK 6 NODE 2 --> 9.58452034 sigma out 1act.( 10.8534603 sig in 12act.) RANK 7 NODE 9 --> 9.46936607 sigma out 1act.( 10.3099966 sig in 12act.) RANK 8 NODE 14 --> 8.79426861 sigma out 1act.( 9.96894741 sig in 12act.) RANK 9 NODE 6 --> 8.50079155 sigma out 1act.( 11.9852142 sig in 12act.) RANK 10 NODE 4 --> 7.92165995 sigma out 1act.( 10.0638514 sig in 12act.) RANK 11 NODE 15 --> 7.80931616 sigma out 1act.( 10.4084539 sig in 12act.) RANK 12 NODE 10 --> 6.90779543 sigma out 1act.( 12.3740911 sig in 12act.) RANK 13 NODE 12 --> 5.88108873 sigma out 1act.( 9.01203346 sig in 12act.) RANK 14 NODE 8 --> 3.18371773 sigma out 1act.( 6.10872269 sig in 12act.) RANK 15 NODE 1 --> 2.48271441 sigma out 1act.( 7.37763977 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 42.9240532 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.422966361 *** contribution from regularisation: 0.00476298342 *** contribution from error: -0.427729338 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.463967055 *** contribution from regularisation: 0.00260868389 *** contribution from error: -0.466575742 *********************************************** -----------------> Test sample ENTER BFGS code START -42908.1046 -0.0536977835 0.46114552 EXIT FROM BFGS code FG_START 0. -0.0536977835 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.484770447 *** contribution from regularisation: 0.00246496848 *** contribution from error: -0.487235427 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -44822.3604 -0.0536977835 -123.332436 EXIT FROM BFGS code FG_LNSRCH 0. -0.079523243 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.5100528 *** contribution from regularisation: 0.00357680046 *** contribution from error: -0.513629615 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47159.9933 -0.079523243 -18.2516689 EXIT FROM BFGS code NEW_X -47159.9933 -0.079523243 -18.2516689 ENTER BFGS code NEW_X -47159.9933 -0.079523243 -18.2516689 EXIT FROM BFGS code FG_LNSRCH 0. -0.0827343538 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.51180023 *** contribution from regularisation: 0.00341299409 *** contribution from error: -0.515213251 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47321.5629 -0.0827343538 -14.0276747 EXIT FROM BFGS code NEW_X -47321.5629 -0.0827343538 -14.0276747 ENTER BFGS code NEW_X -47321.5629 -0.0827343538 -14.0276747 EXIT FROM BFGS code FG_LNSRCH 0. -0.0886840969 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.512993038 *** contribution from regularisation: 0.00328133744 *** contribution from error: -0.516274393 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47431.8515 -0.0886840969 3.209131 EXIT FROM BFGS code NEW_X -47431.8515 -0.0886840969 3.209131 ENTER BFGS code NEW_X -47431.8515 -0.0886840969 3.209131 EXIT FROM BFGS code FG_LNSRCH 0. -0.0887121856 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.513685942 *** contribution from regularisation: 0.00321614859 *** contribution from error: -0.516902089 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47495.9181 -0.0887121856 25.7641277 EXIT FROM BFGS code NEW_X -47495.9181 -0.0887121856 25.7641277 ENTER BFGS code NEW_X -47495.9181 -0.0887121856 25.7641277 EXIT FROM BFGS code FG_LNSRCH 0. -0.0758068562 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.514234424 *** contribution from regularisation: 0.0031931398 *** contribution from error: -0.517427564 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47546.6313 -0.0758068562 24.5240307 EXIT FROM BFGS code NEW_X -47546.6313 -0.0758068562 24.5240307 ENTER BFGS code NEW_X -47546.6313 -0.0758068562 24.5240307 EXIT FROM BFGS code FG_LNSRCH 0. 0.0726723 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.516436636 *** contribution from regularisation: 0.00342163071 *** contribution from error: -0.519858241 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -47750.2496 0.0726723 22.8010521 EXIT FROM BFGS code NEW_X -47750.2496 0.0726723 22.8010521 ENTER BFGS code NEW_X -47750.2496 0.0726723 22.8010521 EXIT FROM BFGS code FG_LNSRCH 0. 0.0888678581 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 55.4549141 sigma out 15 active outputs RANK 2 NODE 7 --> 34.0344048 sigma out 15 active outputs RANK 3 NODE 1 --> 29.1590385 sigma out 15 active outputs RANK 4 NODE 3 --> 24.1896553 sigma out 15 active outputs RANK 5 NODE 9 --> 16.6129646 sigma out 15 active outputs RANK 6 NODE 11 --> 14.0736971 sigma out 15 active outputs RANK 7 NODE 12 --> 9.97661114 sigma out 15 active outputs RANK 8 NODE 10 --> 9.27302933 sigma out 15 active outputs RANK 9 NODE 4 --> 8.73633003 sigma out 15 active outputs RANK 10 NODE 6 --> 8.72778893 sigma out 15 active outputs RANK 11 NODE 5 --> 8.4319706 sigma out 15 active outputs RANK 12 NODE 8 --> 7.34539557 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 68.3892365 sigma in 12act. ( 77.9854813 sig out 1act.) RANK 2 NODE 3 --> 24.5595379 sigma in 12act. ( 25.2613926 sig out 1act.) RANK 3 NODE 6 --> 17.9740639 sigma in 12act. ( 15.7082348 sig out 1act.) RANK 4 NODE 15 --> 16.1504021 sigma in 12act. ( 14.4559917 sig out 1act.) RANK 5 NODE 9 --> 11.0752296 sigma in 12act. ( 9.73376083 sig out 1act.) RANK 6 NODE 12 --> 10.8585243 sigma in 12act. ( 10.1692829 sig out 1act.) RANK 7 NODE 8 --> 10.2248812 sigma in 12act. ( 7.42724228 sig out 1act.) RANK 8 NODE 11 --> 10.0904264 sigma in 12act. ( 10.0205173 sig out 1act.) RANK 9 NODE 14 --> 8.28137493 sigma in 12act. ( 7.06048346 sig out 1act.) RANK 10 NODE 5 --> 7.57489347 sigma in 12act. ( 5.61249781 sig out 1act.) RANK 11 NODE 4 --> 7.20399618 sigma in 12act. ( 5.10820675 sig out 1act.) RANK 12 NODE 7 --> 5.74032021 sigma in 12act. ( 3.45894051 sig out 1act.) RANK 13 NODE 13 --> 5.43462801 sigma in 12act. ( 3.83163214 sig out 1act.) RANK 14 NODE 1 --> 5.24020672 sigma in 12act. ( 3.72870612 sig out 1act.) RANK 15 NODE 2 --> 5.21657372 sigma in 12act. ( 4.10497522 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 77.9854813 sigma out 1act.( 68.3892365 sig in 12act.) RANK 2 NODE 3 --> 25.2613926 sigma out 1act.( 24.5595379 sig in 12act.) RANK 3 NODE 6 --> 15.7082348 sigma out 1act.( 17.9740639 sig in 12act.) RANK 4 NODE 15 --> 14.4559917 sigma out 1act.( 16.1504021 sig in 12act.) RANK 5 NODE 12 --> 10.1692829 sigma out 1act.( 10.8585243 sig in 12act.) RANK 6 NODE 11 --> 10.0205173 sigma out 1act.( 10.0904264 sig in 12act.) RANK 7 NODE 9 --> 9.73376083 sigma out 1act.( 11.0752296 sig in 12act.) RANK 8 NODE 8 --> 7.42724228 sigma out 1act.( 10.2248812 sig in 12act.) RANK 9 NODE 14 --> 7.06048346 sigma out 1act.( 8.28137493 sig in 12act.) RANK 10 NODE 5 --> 5.61249781 sigma out 1act.( 7.57489347 sig in 12act.) RANK 11 NODE 4 --> 5.10820675 sigma out 1act.( 7.20399618 sig in 12act.) RANK 12 NODE 2 --> 4.10497522 sigma out 1act.( 5.21657372 sig in 12act.) RANK 13 NODE 13 --> 3.83163214 sigma out 1act.( 5.43462801 sig in 12act.) RANK 14 NODE 1 --> 3.72870612 sigma out 1act.( 5.24020672 sig in 12act.) RANK 15 NODE 7 --> 3.45894051 sigma out 1act.( 5.74032021 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 87.7164536 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.518366456 *** contribution from regularisation: 0.00311966636 *** contribution from error: -0.521486104 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -47928.681 0.0888678581 0.753547132 EXIT FROM BFGS code NEW_X -47928.681 0.0888678581 0.753547132 ENTER BFGS code NEW_X -47928.681 0.0888678581 0.753547132 EXIT FROM BFGS code FG_LNSRCH 0. 0.0998966098 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.519518197 *** contribution from regularisation: 0.00318379072 *** contribution from error: -0.522701979 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48035.1697 0.0998966098 -5.41002369 EXIT FROM BFGS code NEW_X -48035.1697 0.0998966098 -5.41002369 ENTER BFGS code NEW_X -48035.1697 0.0998966098 -5.41002369 EXIT FROM BFGS code FG_LNSRCH 0. 0.112137832 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.520052195 *** contribution from regularisation: 0.00302547286 *** contribution from error: -0.523077667 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48084.5482 0.112137832 -6.6929965 EXIT FROM BFGS code NEW_X -48084.5482 0.112137832 -6.6929965 ENTER BFGS code NEW_X -48084.5482 0.112137832 -6.6929965 EXIT FROM BFGS code FG_LNSRCH 0. 0.121153362 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.520463705 *** contribution from regularisation: 0.00295366929 *** contribution from error: -0.523417354 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48122.594 0.121153362 -8.77939892 EXIT FROM BFGS code NEW_X -48122.594 0.121153362 -8.77939892 ENTER BFGS code NEW_X -48122.594 0.121153362 -8.77939892 EXIT FROM BFGS code FG_LNSRCH 0. 0.122938961 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.520895302 *** contribution from regularisation: 0.00281388639 *** contribution from error: -0.523709178 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48162.4985 0.122938961 -5.88213491 EXIT FROM BFGS code NEW_X -48162.4985 0.122938961 -5.88213491 ENTER BFGS code NEW_X -48162.4985 0.122938961 -5.88213491 EXIT FROM BFGS code FG_LNSRCH 0. 0.116686612 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.521312118 *** contribution from regularisation: 0.00270259101 *** contribution from error: -0.524014711 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48201.0378 0.116686612 -3.78842521 EXIT FROM BFGS code NEW_X -48201.0378 0.116686612 -3.78842521 ENTER BFGS code NEW_X -48201.0378 0.116686612 -3.78842521 EXIT FROM BFGS code FG_LNSRCH 0. 0.10036619 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.521536469 *** contribution from regularisation: 0.00265937112 *** contribution from error: -0.52419585 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48221.7839 0.10036619 8.97252274 EXIT FROM BFGS code NEW_X -48221.7839 0.10036619 8.97252274 ENTER BFGS code NEW_X -48221.7839 0.10036619 8.97252274 EXIT FROM BFGS code FG_LNSRCH 0. 0.104634486 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.521548688 *** contribution from regularisation: 0.0027489874 *** contribution from error: -0.524297655 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48222.9113 0.104634486 4.7816987 EXIT FROM BFGS code NEW_X -48222.9113 0.104634486 4.7816987 ENTER BFGS code NEW_X -48222.9113 0.104634486 4.7816987 EXIT FROM BFGS code FG_LNSRCH 0. 0.120538302 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.521838784 *** contribution from regularisation: 0.00258915615 *** contribution from error: -0.52442795 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48249.7348 0.120538302 8.51808834 EXIT FROM BFGS code NEW_X -48249.7348 0.120538302 8.51808834 ENTER BFGS code NEW_X -48249.7348 0.120538302 8.51808834 EXIT FROM BFGS code FG_LNSRCH 0. 0.148761675 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.52155751 *** contribution from regularisation: 0.00268428097 *** contribution from error: -0.524241805 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48223.7277 0.148761675 -69.8651352 EXIT FROM BFGS code FG_LNSRCH 0. 0.126741335 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 84.966011 sigma out 15 active outputs RANK 2 NODE 7 --> 47.1897392 sigma out 15 active outputs RANK 3 NODE 1 --> 37.2203178 sigma out 15 active outputs RANK 4 NODE 6 --> 21.696701 sigma out 15 active outputs RANK 5 NODE 11 --> 18.6902409 sigma out 15 active outputs RANK 6 NODE 3 --> 15.7042408 sigma out 15 active outputs RANK 7 NODE 9 --> 13.5384531 sigma out 15 active outputs RANK 8 NODE 8 --> 13.3469868 sigma out 15 active outputs RANK 9 NODE 12 --> 10.3999023 sigma out 15 active outputs RANK 10 NODE 10 --> 9.68141842 sigma out 15 active outputs RANK 11 NODE 4 --> 7.23449612 sigma out 15 active outputs RANK 12 NODE 5 --> 5.58022022 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 104.583572 sigma in 12act. ( 111.549805 sig out 1act.) RANK 2 NODE 3 --> 25.0296803 sigma in 12act. ( 28.0463867 sig out 1act.) RANK 3 NODE 15 --> 20.1114769 sigma in 12act. ( 19.8391018 sig out 1act.) RANK 4 NODE 6 --> 12.8447304 sigma in 12act. ( 12.9566851 sig out 1act.) RANK 5 NODE 9 --> 8.78114319 sigma in 12act. ( 7.87867594 sig out 1act.) RANK 6 NODE 11 --> 8.25761223 sigma in 12act. ( 7.8845005 sig out 1act.) RANK 7 NODE 12 --> 8.21138096 sigma in 12act. ( 6.36786509 sig out 1act.) RANK 8 NODE 14 --> 7.63548422 sigma in 12act. ( 7.60163784 sig out 1act.) RANK 9 NODE 2 --> 5.3800745 sigma in 12act. ( 4.74769783 sig out 1act.) RANK 10 NODE 1 --> 5.23849058 sigma in 12act. ( 4.85557556 sig out 1act.) RANK 11 NODE 5 --> 5.18389463 sigma in 12act. ( 2.10319495 sig out 1act.) RANK 12 NODE 8 --> 4.48387861 sigma in 12act. ( 2.34084368 sig out 1act.) RANK 13 NODE 4 --> 4.02024174 sigma in 12act. ( 2.14422345 sig out 1act.) RANK 14 NODE 7 --> 3.66149902 sigma in 12act. ( 1.25505161 sig out 1act.) RANK 15 NODE 13 --> 2.70456743 sigma in 12act. ( 0.901188135 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 111.549805 sigma out 1act.( 104.583572 sig in 12act.) RANK 2 NODE 3 --> 28.0463867 sigma out 1act.( 25.0296803 sig in 12act.) RANK 3 NODE 15 --> 19.8391018 sigma out 1act.( 20.1114769 sig in 12act.) RANK 4 NODE 6 --> 12.9566851 sigma out 1act.( 12.8447304 sig in 12act.) RANK 5 NODE 11 --> 7.8845005 sigma out 1act.( 8.25761223 sig in 12act.) RANK 6 NODE 9 --> 7.87867594 sigma out 1act.( 8.78114319 sig in 12act.) RANK 7 NODE 14 --> 7.60163784 sigma out 1act.( 7.63548422 sig in 12act.) RANK 8 NODE 12 --> 6.36786509 sigma out 1act.( 8.21138096 sig in 12act.) RANK 9 NODE 1 --> 4.85557556 sigma out 1act.( 5.23849058 sig in 12act.) RANK 10 NODE 2 --> 4.74769783 sigma out 1act.( 5.3800745 sig in 12act.) RANK 11 NODE 8 --> 2.34084368 sigma out 1act.( 4.48387861 sig in 12act.) RANK 12 NODE 4 --> 2.14422345 sigma out 1act.( 4.02024174 sig in 12act.) RANK 13 NODE 5 --> 2.10319495 sigma out 1act.( 5.18389463 sig in 12act.) RANK 14 NODE 7 --> 1.25505161 sigma out 1act.( 3.66149902 sig in 12act.) RANK 15 NODE 13 --> 0.901188135 sigma out 1act.( 2.70456743 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 118.646553 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.5212152 *** contribution from regularisation: 0.00326892734 *** contribution from error: -0.524484158 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -48192.0773 0.126741335 -4.56007576 EXIT FROM BFGS code FG_LNSRCH 0. 0.120734416 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.521587372 *** contribution from regularisation: 0.00284317113 *** contribution from error: -0.524430513 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48226.4897 0.120734416 8.199543 EXIT FROM BFGS code FG_LNSRCH 0. 0.120538853 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.521571338 *** contribution from regularisation: 0.00285658799 *** contribution from error: -0.52442795 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48225.0084 0.120538853 8.56919861 EXIT FROM BFGS code FG_LNSRCH 0. 0.120538302 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.521557093 *** contribution from regularisation: 0.00287081255 *** contribution from error: -0.524427891 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48223.6925 0.120538302 8.54717255 EXIT FROM BFGS code FG_LNSRCH 0. 0.120538302 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.521560013 *** contribution from regularisation: 0.00286793406 *** contribution from error: -0.52442795 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48223.9587 0.120538302 8.53233719 EXIT FROM BFGS code FG_LNSRCH 0. 0.120538302 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.52155292 *** contribution from regularisation: 0.00287502026 *** contribution from error: -0.52442795 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48223.3035 0.120538302 8.48252106 EXIT FROM BFGS code NEW_X -48223.3035 0.120538302 8.48252106 ENTER BFGS code NEW_X -48223.3035 0.120538302 8.48252106 EXIT FROM BFGS code CONVERGENC -48223.3035 0.120538302 8.48252106 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 134.174149 sigma out 15 active outputs RANK 2 NODE 7 --> 71.1389618 sigma out 15 active outputs RANK 3 NODE 1 --> 57.4319649 sigma out 15 active outputs RANK 4 NODE 6 --> 34.0937119 sigma out 15 active outputs RANK 5 NODE 11 --> 29.9128799 sigma out 15 active outputs RANK 6 NODE 3 --> 24.5283966 sigma out 15 active outputs RANK 7 NODE 9 --> 20.9543953 sigma out 15 active outputs RANK 8 NODE 8 --> 19.1796341 sigma out 15 active outputs RANK 9 NODE 12 --> 15.8949213 sigma out 15 active outputs RANK 10 NODE 10 --> 14.4128523 sigma out 15 active outputs RANK 11 NODE 4 --> 11.7348356 sigma out 15 active outputs RANK 12 NODE 5 --> 8.71653175 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 164.141174 sigma in 12act. ( 171.801712 sig out 1act.) RANK 2 NODE 3 --> 38.2730026 sigma in 12act. ( 43.9806366 sig out 1act.) RANK 3 NODE 15 --> 30.4463539 sigma in 12act. ( 30.8917065 sig out 1act.) RANK 4 NODE 6 --> 18.8147678 sigma in 12act. ( 19.4891624 sig out 1act.) RANK 5 NODE 9 --> 13.4145279 sigma in 12act. ( 13.1528244 sig out 1act.) RANK 6 NODE 11 --> 12.3189211 sigma in 12act. ( 12.4701643 sig out 1act.) RANK 7 NODE 14 --> 11.3847599 sigma in 12act. ( 11.9218664 sig out 1act.) RANK 8 NODE 12 --> 11.3414927 sigma in 12act. ( 10.454215 sig out 1act.) RANK 9 NODE 2 --> 7.52712822 sigma in 12act. ( 7.18982315 sig out 1act.) RANK 10 NODE 1 --> 7.45908117 sigma in 12act. ( 7.59772205 sig out 1act.) RANK 11 NODE 8 --> 5.85501528 sigma in 12act. ( 3.92316699 sig out 1act.) RANK 12 NODE 5 --> 5.34173727 sigma in 12act. ( 2.92600369 sig out 1act.) RANK 13 NODE 4 --> 5.11389399 sigma in 12act. ( 3.42633057 sig out 1act.) RANK 14 NODE 7 --> 3.7521255 sigma in 12act. ( 1.74943149 sig out 1act.) RANK 15 NODE 13 --> 2.87782931 sigma in 12act. ( 1.47250354 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 171.801712 sigma out 1act.( 164.141174 sig in 12act.) RANK 2 NODE 3 --> 43.9806366 sigma out 1act.( 38.2730026 sig in 12act.) RANK 3 NODE 15 --> 30.8917065 sigma out 1act.( 30.4463539 sig in 12act.) RANK 4 NODE 6 --> 19.4891624 sigma out 1act.( 18.8147678 sig in 12act.) RANK 5 NODE 9 --> 13.1528244 sigma out 1act.( 13.4145279 sig in 12act.) RANK 6 NODE 11 --> 12.4701643 sigma out 1act.( 12.3189211 sig in 12act.) RANK 7 NODE 14 --> 11.9218664 sigma out 1act.( 11.3847599 sig in 12act.) RANK 8 NODE 12 --> 10.454215 sigma out 1act.( 11.3414927 sig in 12act.) RANK 9 NODE 1 --> 7.59772205 sigma out 1act.( 7.45908117 sig in 12act.) RANK 10 NODE 2 --> 7.18982315 sigma out 1act.( 7.52712822 sig in 12act.) RANK 11 NODE 8 --> 3.92316699 sigma out 1act.( 5.85501528 sig in 12act.) RANK 12 NODE 4 --> 3.42633057 sigma out 1act.( 5.11389399 sig in 12act.) RANK 13 NODE 5 --> 2.92600369 sigma out 1act.( 5.34173727 sig in 12act.) RANK 14 NODE 7 --> 1.74943149 sigma out 1act.( 3.7521255 sig in 12act.) RANK 15 NODE 13 --> 1.47250354 sigma out 1act.( 2.87782931 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 183.069702 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.521539032 *** contribution from regularisation: 0.0028889121 *** contribution from error: -0.52442795 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done