NNInput NNInputs_170.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= 190331 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 = 52899 nbkg = 137432 Bkg Entries: 137432 Sig Entries: 52899 Chosen entries: 52899 Signal fraction: 1 Background fraction: 0.38491 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 137432 Actual Signal Entries: 52899 Entries to split: 52899 Test with : 26449 Train with : 26449 ********************************************* * 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= 52899 for Signal Prepared event 0 for Signal with 52899 events ====Entry 0 Variable Ht : 206.347 Variable LepAPt : 36.1308 Variable LepBPt : 29.2247 Variable MetSigLeptonsJets : 10.199 Variable MetSpec : 96.7965 Variable SumEtLeptonsJets : 102.892 Variable VSumJetLeptonsPt : 40.6877 Variable addEt : 168.81 Variable dPhiLepSumMet : 2.54625 Variable dPhiLeptons : 0.182576 Variable dRLeptons : 0.326 Variable lep1_E : 42.5211 Variable lep2_E : 30.6986 ===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 = 2170 Ht = 206.347 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.1308 LepAPt = 36.1308 LepBEt = 29.225 LepBPt = 29.2247 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 103.455 MetDelPhi = 1.21007 MetSig = 7.81518 MetSigLeptonsJets = 10.199 MetSpec = 96.7965 Mjj = 0 MostCentralJetEta = -1.03827 MtllMet = 173.786 Njets = 1 SB = 0 SumEt = 175.236 SumEtJets = 0 SumEtLeptonsJets = 102.892 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 40.6877 addEt = 168.81 dPhiLepSumMet = 2.54625 dPhiLeptons = 0.182576 dRLeptons = 0.326 diltype = 47 dimass = 10.613 event = 34 jet1_Et = 37.5368 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 42.5211 lep2_E = 30.6986 rand = 0.999742 run = 175066 weight = 3.57526e-06 ===Show End Prepared event 10000 for Signal with 52899 events Prepared event 20000 for Signal with 52899 events Prepared event 30000 for Signal with 52899 events Prepared event 40000 for Signal with 52899 events Prepared event 50000 for Signal with 52899 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 = 0.376379 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 4495 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 190331 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 4495 negative weights. Signal fraction: 62.8911896 % ------------------------------ 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 60.0048981 63.1555634 65.5515594 67.2215118 68.6114044 69.6141815 70.6120529 71.5003052 72.3998566 73.3358459 74.1446762 74.8592987 75.4085999 76.0828323 76.820755 77.3828735 78.1930542 78.8119049 79.5148163 80.2404175 80.908165 81.7760468 82.6930389 83.609787 84.6586761 85.9005737 87.0999298 88.6291428 89.7838898 91.5597076 92.9879456 94.7648849 96.397049 98.2306366 99.8730316 101.633385 103.559235 105.355026 106.908371 108.666687 110.346725 112.162735 113.842621 115.857674 117.659462 119.551262 120.976746 122.731781 124.650772 126.418121 128.215561 129.913269 131.657715 133.28746 134.885712 136.602142 138.225647 139.772278 141.274536 142.775299 144.301422 145.790039 147.279434 148.789062 150.353806 151.57962 153.097076 154.464645 155.853256 157.418762 158.853455 160.311813 161.985107 163.662964 165.451508 167.195984 169.127991 171.350235 173.483673 175.941742 178.390961 180.828979 183.467407 186.225204 188.989044 191.897339 195.17276 198.912888 203.011414 207.134827 211.790314 216.785522 222.1763 228.303955 237.055206 246.951843 259.138977 276.204651 299.782806 353.360413 853.957886 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.4565849 20.7854691 21.1543159 21.4552002 21.7569962 22.0157719 22.2398796 22.495245 22.7184486 22.909687 23.1371765 23.3654137 23.5900116 23.8299046 24.0737858 24.3132229 24.5698738 24.8161964 25.0620956 25.2807198 25.5515785 25.7559052 26.0054703 26.2844524 26.536417 26.8064823 27.0838432 27.2733536 27.5363998 27.7987366 28.0182877 28.2741394 28.5563126 28.8071766 29.0893002 29.3509026 29.6352997 29.9026203 30.2037582 30.5085449 30.7677917 31.1036015 31.4390259 31.7121429 31.9683914 32.3065414 32.6791534 33.0285721 33.3174973 33.6447906 33.9803848 34.3802834 34.7387772 35.1069145 35.4320221 35.7497864 36.1041946 36.4780197 36.8137741 37.1194916 37.5073013 37.8736649 38.2464638 38.6091003 39.0194321 39.313652 39.7134819 40.0819168 40.4613838 40.8138657 41.0685501 41.4771805 41.8928299 42.3117676 42.7892113 43.2473488 43.6832008 44.1756134 44.6504784 45.1457367 45.6915092 46.2466583 46.839325 47.4110947 48.0547028 48.7115059 49.4124527 50.1774864 50.9871483 51.8519745 52.7630615 53.7922058 55.1246262 56.5119324 58.2533035 60.6017227 63.4759331 67.91819 77.1240997 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1335173 10.2688398 10.3771954 10.4907761 10.6142273 10.7614765 10.8981056 11.0651016 11.2118568 11.3836231 11.5037651 11.6581707 11.7896776 11.9596806 12.1332703 12.2838888 12.4287176 12.5923595 12.7929516 12.9915819 13.2026291 13.4008331 13.5641775 13.7267666 13.8714008 14.0581741 14.2877626 14.5046692 14.740881 14.9786263 15.2199974 15.4453535 15.6832495 15.9080267 16.1941795 16.4457703 16.6909904 16.9260445 17.2149429 17.5038071 17.786808 17.9907951 18.3308144 18.6265678 18.9274254 19.2050018 19.5242558 19.8803883 20.1845818 20.5058098 20.8190498 21.1324692 21.401453 21.7135601 22.0105782 22.2479515 22.5666027 22.8732872 23.1731091 23.5035553 23.8195896 24.1382523 24.4664097 24.7803345 25.107666 25.4449768 25.7723255 26.1269608 26.4275742 26.7810287 27.0989799 27.4222317 27.7278652 28.0662079 28.3668232 28.7196655 29.0630379 29.4196434 29.7807693 30.1478348 30.4821529 30.8770123 31.2719193 31.7065735 32.1345596 32.615242 33.067543 33.5357056 34.0157852 34.5649567 35.1871109 35.8508301 36.5569229 37.4165802 38.5172195 39.9644318 41.9463005 44.6925735 50.0682755 102.012222 ------------------------------ Transdef: Tab for variable 5 0.926167309 2.65453529 3.13362956 3.50305367 3.78798723 4.01158333 4.14673615 4.28380871 4.40764713 4.5266819 4.6291604 4.72077513 4.81404781 4.91069221 5.00085258 5.06373501 5.13586855 5.19886875 5.26226616 5.31953144 5.37887621 5.43909931 5.49470615 5.53860998 5.59485006 5.64604759 5.69696808 5.74662876 5.79801607 5.85735226 5.90891743 5.95469999 6.00546741 6.04637957 6.09746265 6.13896894 6.19391441 6.2392664 6.27685738 6.32548809 6.3760891 6.42712402 6.47706985 6.52121449 6.57312202 6.62095547 6.66355896 6.71466923 6.76227808 6.81617355 6.86031294 6.91606808 6.96735287 7.01567268 7.06899357 7.1287117 7.18630791 7.24082088 7.29444313 7.35501003 7.41031408 7.46934128 7.51035786 7.56221008 7.62683868 7.68048573 7.74308443 7.81015968 7.8705368 7.93392086 7.99203396 8.05488586 8.11578751 8.18100357 8.23791313 8.29466248 8.36138916 8.42757225 8.49250984 8.55459023 8.62036037 8.69075584 8.75413799 8.82394218 8.89163971 8.95991993 9.03160858 9.11991692 9.21426582 9.30636501 9.40862846 9.51747704 9.64041519 9.77668762 9.94290638 10.1463881 10.3812132 10.7139254 11.2385778 12.3145494 18.2836285 ------------------------------ Transdef: Tab for variable 6 15.0089226 21.7200737 25.5347672 26.6049995 27.6925507 28.7112484 29.4589405 30.2963161 31.0527096 31.6390324 32.1906395 32.8157349 33.3121223 33.7995529 34.3178215 34.7583504 35.1816254 35.652523 36.0130157 36.4232979 36.7861557 37.1875496 37.5983505 37.9317436 38.2996063 38.7028618 39.1806259 39.627861 40.0774078 40.4120865 40.8594818 41.288147 41.7700348 42.2403221 42.7755432 43.2002335 43.7447968 44.1959229 44.859024 45.4380493 46.0847397 46.8163071 47.4670753 48.153595 48.9462891 49.6584473 50.3718109 51.1062698 52.0108337 52.8006744 53.7357063 54.4773865 55.3403854 56.098999 56.831028 57.6689377 58.4674149 59.0758362 59.8180084 60.6442261 61.5129623 62.3543015 63.190094 63.9947739 64.7862015 65.5685425 66.393158 67.2035065 67.9707489 68.7655487 69.5172729 70.3410645 71.1311417 71.8819122 72.6702118 73.4262695 74.2550812 75.0282593 75.7774658 76.5693665 77.0937653 77.8341827 78.6789703 79.5541077 80.4334564 81.4710083 82.5068359 83.603302 84.7694855 85.9832153 87.3491516 89.0287018 91.0506744 93.294899 95.8329315 98.8832016 102.839653 107.92691 115.14962 128.849442 305.093048 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.6913071 33.6419373 34.4000244 35.0058937 35.4858894 35.9688301 36.4658966 36.8933105 37.3019409 37.68116 38.1007805 38.4465446 38.7698135 39.1352921 39.4447174 39.7520866 40.0978813 40.3824387 40.7762527 41.2341309 41.6185036 42.0771637 42.6028175 43.057663 43.6219788 44.3339577 44.939518 45.6143341 46.4497223 47.4648552 48.4000244 49.6279411 50.6060486 51.723278 52.7631989 53.7997093 54.8839455 55.9598007 56.8828964 57.9449806 58.9550629 60.0301208 61.0299492 61.7490387 62.6364937 63.4817352 64.3416595 65.2337952 66.1388855 67.0515137 68.0269012 68.8890991 69.7603149 70.5997009 71.3695526 72.3513489 73.2305756 74.025177 74.9429474 75.8137207 76.6272125 77.539856 78.5436401 79.3917694 80.3835297 81.4710083 82.5004425 83.7947845 85.1454163 86.625473 88.1463776 89.7320557 91.3411713 92.9852676 94.5594177 96.1766205 97.950325 99.736618 101.666122 103.536438 105.614807 107.587433 109.92334 112.292084 114.799255 117.665771 120.916054 124.318321 127.674263 131.740234 136.471375 141.093048 146.780273 153.489136 161.750656 172.245636 185.778046 207.555588 254.603424 554.173157 ------------------------------ Transdef: Tab for variable 8 2.83339143 25.8462448 29.4049015 31.2368584 32.1903992 32.8916702 33.4801636 33.9384384 34.448494 34.8690262 35.2332306 35.6158142 36.0406265 36.4149399 36.7710037 37.0727806 37.3858871 37.6686401 37.9823456 38.2776413 38.5931702 38.8517151 39.1430206 39.388916 39.7146835 40.0233078 40.3789062 40.7905922 41.2182465 41.5877609 42.0645294 42.4431458 42.8434906 43.3525925 43.7273865 44.2446213 44.8560982 45.4900208 46.1583366 46.8307037 47.5315323 48.3450851 49.013855 49.7006378 50.4642792 51.1942825 51.9514313 52.7430496 53.4561081 54.2047462 55.0076218 55.7547913 56.5295639 57.321228 58.0470123 58.7490692 59.4603996 60.2534485 60.9519348 61.510643 62.231514 62.8986893 63.6551895 64.3453217 65.0816803 65.8071136 66.4865952 67.1707153 67.9212189 68.5811462 69.2812805 69.9634171 70.6896973 71.4073029 72.1373062 72.8652573 73.5961075 74.2949371 75.0433807 75.7459488 76.4730072 77.237709 78.0555878 78.8300629 79.7306671 80.7071075 81.7545624 82.85569 84.116272 85.4805298 87.0943909 88.8972702 90.945282 93.4301529 96.3008575 99.9934387 104.612793 110.968292 120.39315 140.227875 373.748505 ------------------------------ Transdef: Tab for variable 9 48.7445374 62.8023148 65.0174103 66.5959473 68.0128784 68.9711761 69.9854889 70.8318939 71.6633911 72.4716034 73.287056 74.0068817 74.6771927 75.240448 75.7701111 76.4411316 77.0454712 77.6127625 78.2697296 78.8119278 79.4476776 80.0030518 80.6632843 81.3607025 82.1325073 82.8871384 83.6877518 84.5345917 85.3322983 86.3755646 87.5970993 88.7205811 89.5045319 90.6935654 92.0032654 93.1356888 94.5732498 95.9712753 97.3624573 98.8853302 100.447975 101.846886 103.351357 104.858643 106.253159 107.654755 109.197739 110.655457 112.187462 113.651443 115.148247 116.691162 118.075272 119.458244 120.508224 121.924576 123.325279 124.742599 126.103058 127.397247 128.869507 130.148514 131.480042 132.68042 134.072815 135.23819 136.547165 137.761688 139.003784 140.178024 141.36969 142.573059 143.712112 144.896881 146.011734 147.112244 148.258331 149.485931 150.59613 151.640991 152.786713 153.838242 154.902756 155.947113 157.047668 158.242279 159.450729 160.750519 162.06842 163.552795 165.108795 166.65567 168.478119 170.411758 172.976959 175.852585 179.777313 185.886765 198.077057 232.203918 493.485443 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.933664918 1.34166193 1.59823716 1.77373028 1.898561 2.00214434 2.08313608 2.15369034 2.22016358 2.27673769 2.32757306 2.37403488 2.41420507 2.44878101 2.48217988 2.51597142 2.54360127 2.56827092 2.59748316 2.62065458 2.64624047 2.66794324 2.6890974 2.70885777 2.72585344 2.7427845 2.7600975 2.77353787 2.78887677 2.80279541 2.81698012 2.83012104 2.84139633 2.85182142 2.86152792 2.87199926 2.88080883 2.89126253 2.89980197 2.90873384 2.91666555 2.92436647 2.93125057 2.93887711 2.94664049 2.952281 2.95961857 2.96587515 2.97141814 2.97707677 2.98189306 2.98744774 2.99215746 2.99694777 3.00233865 3.00736713 3.01233172 3.01620388 3.02055168 3.02478933 3.02896476 3.03235006 3.03633499 3.04001141 3.04374933 3.04718518 3.05116129 3.05506229 3.05835247 3.06184483 3.06533957 3.06857347 3.07173085 3.07465792 3.07781172 3.08071947 3.08354115 3.08663464 3.08974504 3.09240317 3.09485054 3.09792852 3.10071182 3.10294342 3.1053319 3.10786724 3.11042023 3.11291313 3.11512423 3.11749029 3.12054968 3.12285614 3.12527347 3.12765908 3.12962294 3.13130617 3.13386059 3.13643217 3.13895941 3.14159226 ------------------------------ Transdef: Tab for variable 11 4.88758087E-06 0.00608193874 0.0116761886 0.0190825462 0.0246051028 0.0306589603 0.0381091312 0.0450978428 0.0524811447 0.0598800629 0.0665544271 0.0734913349 0.0797887444 0.0865361691 0.094496727 0.10041225 0.107355118 0.112193108 0.119288206 0.126253247 0.132568479 0.139154792 0.145970047 0.152267694 0.157839775 0.16362302 0.169582307 0.174897432 0.180165559 0.18558228 0.1909132 0.196433723 0.201992273 0.207499087 0.212327331 0.217502058 0.222911596 0.228283882 0.233309954 0.238277555 0.243527323 0.248167813 0.253335685 0.25874424 0.263517708 0.268913984 0.27434361 0.279189587 0.28493315 0.289882898 0.294808388 0.299972206 0.305077672 0.310017973 0.315515637 0.321131527 0.326297522 0.332180262 0.33745116 0.343343675 0.349116772 0.354629636 0.360497296 0.365874887 0.371885747 0.377720952 0.384010673 0.389003873 0.394984722 0.401327729 0.407947928 0.413949609 0.420380354 0.426813841 0.434074998 0.440531552 0.447006524 0.45535928 0.463285446 0.471362948 0.477966428 0.487506747 0.496593058 0.505745411 0.514270246 0.524407864 0.536129355 0.544814467 0.558250546 0.570850968 0.584666908 0.597575426 0.615884602 0.634238005 0.652859807 0.677182615 0.703544617 0.733240664 0.77562201 0.842896938 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.1026145 0.164960653 0.183606178 0.196992695 0.20804584 0.217579424 0.226955622 0.234856457 0.242801368 0.249925911 0.257467717 0.264211535 0.271373242 0.277809858 0.284335911 0.289821982 0.295859098 0.302296162 0.307593107 0.312932491 0.318484187 0.323993802 0.329915285 0.335039794 0.340555191 0.346288472 0.351141423 0.356090009 0.361212313 0.366648644 0.371977001 0.376612246 0.38163805 0.385956526 0.390683055 0.39598304 0.400608599 0.404303163 0.408264697 0.412375391 0.416232407 0.420168221 0.423669368 0.427160412 0.430296183 0.434092104 0.438220799 0.442402363 0.44643718 0.450315356 0.45456329 0.458435893 0.462727964 0.467022091 0.471085668 0.475295305 0.477942497 0.482832372 0.487041354 0.491051495 0.496009111 0.500674844 0.505144596 0.510062754 0.514724791 0.520370126 0.525722504 0.530979276 0.537203431 0.543361902 0.547515631 0.552881837 0.559182584 0.565564275 0.571930587 0.579174876 0.587294936 0.594076097 0.601011515 0.607967317 0.616039634 0.624291301 0.633586168 0.64220047 0.650391698 0.660372913 0.670465827 0.680358648 0.690155327 0.700970531 0.713213801 0.725200176 0.740565181 0.754174352 0.768495083 0.783413768 0.802445412 0.829431653 0.864197969 0.910707831 1.13414526 ------------------------------ Transdef: Tab for variable 13 20.0471687 21.7913914 22.5552559 23.3130455 23.9656029 24.5480881 25.1285324 25.6448517 26.1410942 26.6557961 27.1441517 27.6277695 28.0827866 28.5150394 28.8650169 29.2621822 29.6206818 30.0362549 30.4312935 30.7844086 31.1127014 31.460392 31.8353615 32.2872658 32.6576462 33.0377808 33.4777832 33.8399391 34.2855492 34.6558037 35.0659943 35.4253769 35.8257446 36.1423836 36.5075264 36.9327621 37.3379974 37.7490692 38.1598434 38.5537186 38.8814583 39.3475723 39.7178802 40.0773659 40.4747543 40.927742 41.2955856 41.7215385 42.1579094 42.5984116 43.0443306 43.472084 43.8393517 44.2598801 44.6832581 45.1234283 45.5541687 46.0215721 46.4497147 46.9509811 47.3885498 47.8091507 48.3044128 48.7963486 49.2892914 49.8003769 50.2829971 50.8353806 51.287674 51.9175644 52.4477921 53.0266266 53.6518135 54.2715607 54.9259377 55.4837379 56.1152267 56.8595047 57.58535 58.36409 59.0043335 59.8614578 60.7546997 61.7599106 62.6953278 63.8466454 64.8576508 66.0283508 67.1838455 68.1811676 69.5873871 71.2099609 73.2791367 75.7273941 78.1937103 81.1740112 85.2978821 88.7694168 94.660202 106.392921 394.478912 ------------------------------ Transdef: Tab for variable 14 10.0116768 10.6565838 11.0992661 11.4972868 11.9348068 12.2759323 12.5643921 12.9300098 13.3285408 13.6345444 13.9078102 14.2773056 14.6248922 14.9085426 15.2617168 15.6023617 15.9484272 16.285368 16.6134834 16.9372826 17.2662582 17.6339302 17.9501076 18.2394295 18.5786095 18.8366966 19.1806049 19.5442467 19.8761368 20.2225227 20.6032085 20.9425316 21.2928085 21.6764431 21.9728546 22.2747459 22.6048584 22.9492664 23.2320175 23.5348473 23.8449383 24.1753235 24.5173645 24.8377934 25.1380997 25.476263 25.793478 26.1055336 26.4381466 26.729517 27.0711308 27.4122562 27.7221107 27.9612675 28.2241421 28.5126953 28.8278275 29.1479893 29.4796219 29.8118839 30.1362534 30.4311142 30.7712097 31.1177444 31.4388981 31.7578793 32.13908 32.4897575 32.8468094 33.2172165 33.4473801 33.8091202 34.1663666 34.5106201 34.9246674 35.3396568 35.7598114 36.1667938 36.563961 37.0177994 37.5143433 38.0635452 38.6130638 39.162796 39.7771683 40.4022331 41.0469513 41.731617 42.5518341 43.3294678 44.2487526 45.144371 46.2956123 47.5974426 49.035717 50.7861366 53.0439491 55.7183304 60.2444687 67.0324707 130.657516 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 64.7 52.5 57.6 30.0 50.3 62.6 55.4 63.7 -22.8 -25.3 -46.2 19.0 34.4 2 64.7 100.0 70.0 65.5 37.5 68.9 95.0 77.2 92.6 -43.3 -30.5 -56.5 37.9 42.8 3 52.5 70.0 100.0 55.6 13.5 38.6 72.8 58.1 75.7 -15.1 -33.7 -63.1 65.6 36.4 4 57.6 65.5 55.6 100.0 18.6 41.1 66.1 56.3 71.2 -12.2 -37.2 -69.4 29.4 75.8 5 30.0 37.5 13.5 18.6 100.0 83.5 12.1 59.9 57.2 22.2 -9.3 -14.8 -0.1 8.6 6 50.3 68.9 38.6 41.1 83.5 100.0 49.6 79.7 78.8 -6.0 -20.2 -34.9 15.0 24.5 7 62.6 95.0 72.8 66.1 12.1 49.6 100.0 69.3 82.5 -51.6 -29.9 -56.7 42.0 44.6 8 55.4 77.2 58.1 56.3 59.9 79.7 69.3 100.0 84.8 -11.4 -28.6 -49.4 31.3 37.6 9 63.7 92.6 75.7 71.2 57.2 78.8 82.5 84.8 100.0 -20.3 -33.6 -62.5 42.4 47.9 10 -22.8 -43.3 -15.1 -12.2 22.2 -6.0 -51.6 -11.4 -20.3 100.0 3.8 9.1 -6.5 -6.6 11 -25.3 -30.5 -33.7 -37.2 -9.3 -20.2 -29.9 -28.6 -33.6 3.8 100.0 57.4 -17.5 -26.8 12 -46.2 -56.5 -63.1 -69.4 -14.8 -34.9 -56.7 -49.4 -62.5 9.1 57.4 100.0 -34.4 -47.4 13 19.0 37.9 65.6 29.4 -0.1 15.0 42.0 31.3 42.4 -6.5 -17.5 -34.4 100.0 53.2 14 34.4 42.8 36.4 75.8 8.6 24.5 44.6 37.6 47.9 -6.6 -26.8 -47.4 53.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 171.960683 TOTAL CORRELATION OF ALL VARIABLES 72.2656985 ROUND 1: MAX CORR ( 72.2654258) AFTER KILLING INPUT VARIABLE 11 CONTR 0.198506297 ROUND 2: MAX CORR ( 72.2585603) AFTER KILLING INPUT VARIABLE 14 CONTR 0.996109242 ROUND 3: MAX CORR ( 72.2502425) AFTER KILLING INPUT VARIABLE 12 CONTR 1.09635673 ROUND 4: MAX CORR ( 72.2398709) AFTER KILLING INPUT VARIABLE 8 CONTR 1.22416678 ROUND 5: MAX CORR ( 72.1761472) AFTER KILLING INPUT VARIABLE 2 CONTR 3.03359922 ROUND 6: MAX CORR ( 72.0579619) AFTER KILLING INPUT VARIABLE 10 CONTR 4.12872254 ROUND 7: MAX CORR ( 71.7768945) AFTER KILLING INPUT VARIABLE 6 CONTR 6.35824618 ROUND 8: MAX CORR ( 70.6707077) AFTER KILLING INPUT VARIABLE 13 CONTR 12.5528347 ROUND 9: MAX CORR ( 69.3555758) AFTER KILLING INPUT VARIABLE 9 CONTR 13.5702998 ROUND 10: MAX CORR ( 69.0861607) AFTER KILLING INPUT VARIABLE 3 CONTR 6.10723301 ROUND 11: MAX CORR ( 66.4972402) AFTER KILLING INPUT VARIABLE 4 CONTR 18.7353848 ROUND 12: MAX CORR ( 62.5630933) AFTER KILLING INPUT VARIABLE 5 CONTR 22.533138 LAST REMAINING VARIABLE: 7 total correlation to target: 72.2656985 % total significance: 148.645436 sigma correlations of single variables to target: variable 2: 64.66594 % , in sigma: 133.013269 variable 3: 52.4885045 % , in sigma: 107.965145 variable 4: 57.6498777 % , in sigma: 118.581725 variable 5: 29.9674 % , in sigma: 61.6408243 variable 6: 50.3368185 % , in sigma: 103.539279 variable 7: 62.5630933 % , in sigma: 128.687862 variable 8: 55.3720827 % , in sigma: 113.896462 variable 9: 63.7122114 % , in sigma: 131.051517 variable 10: -22.8277533 % , in sigma: 46.9550756 variable 11: -25.3331496 % , in sigma: 52.1084987 variable 12: -46.1941778 % , in sigma: 95.0181599 variable 13: 19.0127045 % , in sigma: 39.1077897 variable 14: 34.3611278 % , in sigma: 70.6784121 variables sorted by significance: 1 most relevant variable 7 corr 62.5630951 , in sigma: 128.687866 2 most relevant variable 5 corr 22.5331383 , in sigma: 46.3490733 3 most relevant variable 4 corr 18.735384 , in sigma: 38.5373611 4 most relevant variable 3 corr 6.10723305 , in sigma: 12.5621469 5 most relevant variable 9 corr 13.5703001 , in sigma: 27.9131485 6 most relevant variable 13 corr 12.5528345 , in sigma: 25.8202937 7 most relevant variable 6 corr 6.35824633 , in sigma: 13.0784634 8 most relevant variable 10 corr 4.12872267 , in sigma: 8.49249081 9 most relevant variable 2 corr 3.03359914 , in sigma: 6.23989909 10 most relevant variable 8 corr 1.22416675 , in sigma: 2.51802451 11 most relevant variable 12 corr 1.09635675 , in sigma: 2.25512837 12 most relevant variable 14 corr 0.996109247 , in sigma: 2.04892634 13 most relevant variable 11 corr 0.198506296 , in sigma: 0.408313425 global correlations between input variables: variable 2: 99.2134063 % variable 3: 93.3681257 % variable 4: 93.2238451 % variable 5: 94.8378094 % variable 6: 93.774202 % variable 7: 98.8234715 % variable 8: 90.5721751 % variable 9: 98.8515689 % variable 10: 71.7110497 % variable 11: 58.1101394 % variable 12: 81.2940592 % variable 13: 85.5002715 % variable 14: 89.3010932 % significance loss when removing single variables: variable 2: corr = 2.33114305 % , sigma = 4.79499654 variable 3: corr = 16.819329 % , sigma = 34.5961714 variable 4: corr = 13.7358641 % , sigma = 28.253702 variable 5: corr = 12.532813 % , sigma = 25.7791109 variable 6: corr = 5.56887646 % , sigma = 11.4547854 variable 7: corr = 7.07489342 % , sigma = 14.5525559 variable 8: corr = 1.18643703 % , sigma = 2.44041714 variable 9: corr = 12.1954572 % , sigma = 25.0851938 variable 10: corr = 3.41382918 % , sigma = 7.02200541 variable 11: corr = 0.198506297 % , sigma = 0.408313427 variable 12: corr = 1.03884929 % , sigma = 2.13683958 variable 13: corr = 9.13709204 % , sigma = 18.7943527 variable 14: corr = 0.983593768 % , sigma = 2.02318288 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 20.3472366 sigma out 15 active outputs RANK 2 NODE 3 --> 18.6832428 sigma out 15 active outputs RANK 3 NODE 6 --> 18.4104557 sigma out 15 active outputs RANK 4 NODE 1 --> 17.221796 sigma out 15 active outputs RANK 5 NODE 7 --> 15.8727551 sigma out 15 active outputs RANK 6 NODE 8 --> 14.7099991 sigma out 15 active outputs RANK 7 NODE 9 --> 14.4336071 sigma out 15 active outputs RANK 8 NODE 5 --> 13.4220772 sigma out 15 active outputs RANK 9 NODE 2 --> 13.1312876 sigma out 15 active outputs RANK 10 NODE 4 --> 10.8823538 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 22.7261982 sigma in 10act. ( 30.2561455 sig out 1act.) RANK 2 NODE 3 --> 21.5860424 sigma in 10act. ( 22.4073486 sig out 1act.) RANK 3 NODE 4 --> 17.4486656 sigma in 10act. ( 19.8285599 sig out 1act.) RANK 4 NODE 1 --> 17.0891552 sigma in 10act. ( 18.4771481 sig out 1act.) RANK 5 NODE 15 --> 16.04809 sigma in 10act. ( 17.2717648 sig out 1act.) RANK 6 NODE 5 --> 15.7750864 sigma in 10act. ( 15.5600348 sig out 1act.) RANK 7 NODE 9 --> 10.6402931 sigma in 10act. ( 12.1744852 sig out 1act.) RANK 8 NODE 8 --> 10.366848 sigma in 10act. ( 6.72145414 sig out 1act.) RANK 9 NODE 14 --> 9.52783394 sigma in 10act. ( 10.3113546 sig out 1act.) RANK 10 NODE 10 --> 8.99081898 sigma in 10act. ( 9.7198391 sig out 1act.) RANK 11 NODE 7 --> 4.55689907 sigma in 10act. ( 5.14091635 sig out 1act.) RANK 12 NODE 6 --> 3.66888189 sigma in 10act. ( 5.68504477 sig out 1act.) RANK 13 NODE 12 --> 3.59460092 sigma in 10act. ( 2.95574522 sig out 1act.) RANK 14 NODE 2 --> 3.43497252 sigma in 10act. ( 2.54656219 sig out 1act.) RANK 15 NODE 13 --> 3.11443639 sigma in 10act. ( 3.08604693 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 30.2561455 sigma out 1act.( 22.7261982 sig in 10act.) RANK 2 NODE 3 --> 22.4073486 sigma out 1act.( 21.5860424 sig in 10act.) RANK 3 NODE 4 --> 19.8285599 sigma out 1act.( 17.4486656 sig in 10act.) RANK 4 NODE 1 --> 18.4771481 sigma out 1act.( 17.0891552 sig in 10act.) RANK 5 NODE 15 --> 17.2717648 sigma out 1act.( 16.04809 sig in 10act.) RANK 6 NODE 5 --> 15.5600348 sigma out 1act.( 15.7750864 sig in 10act.) RANK 7 NODE 9 --> 12.1744852 sigma out 1act.( 10.6402931 sig in 10act.) RANK 8 NODE 14 --> 10.3113546 sigma out 1act.( 9.52783394 sig in 10act.) RANK 9 NODE 10 --> 9.7198391 sigma out 1act.( 8.99081898 sig in 10act.) RANK 10 NODE 8 --> 6.72145414 sigma out 1act.( 10.366848 sig in 10act.) RANK 11 NODE 6 --> 5.68504477 sigma out 1act.( 3.66888189 sig in 10act.) RANK 12 NODE 7 --> 5.14091635 sigma out 1act.( 4.55689907 sig in 10act.) RANK 13 NODE 13 --> 3.08604693 sigma out 1act.( 3.11443639 sig in 10act.) RANK 14 NODE 12 --> 2.95574522 sigma out 1act.( 3.59460092 sig in 10act.) RANK 15 NODE 2 --> 2.54656219 sigma out 1act.( 3.43497252 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 56.3046875 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 26.8175278 sigma out 15 active outputs RANK 2 NODE 3 --> 18.9756775 sigma out 15 active outputs RANK 3 NODE 6 --> 18.9730492 sigma out 15 active outputs RANK 4 NODE 1 --> 18.8193264 sigma out 15 active outputs RANK 5 NODE 8 --> 18.5876904 sigma out 15 active outputs RANK 6 NODE 7 --> 17.4473038 sigma out 15 active outputs RANK 7 NODE 2 --> 15.8358917 sigma out 15 active outputs RANK 8 NODE 9 --> 14.8880892 sigma out 15 active outputs RANK 9 NODE 5 --> 14.3006916 sigma out 15 active outputs RANK 10 NODE 4 --> 11.4288797 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 27.9482918 sigma in 10act. ( 29.2996788 sig out 1act.) RANK 2 NODE 3 --> 20.7989559 sigma in 10act. ( 21.6992207 sig out 1act.) RANK 3 NODE 4 --> 19.9974327 sigma in 10act. ( 19.2674561 sig out 1act.) RANK 4 NODE 15 --> 18.6822739 sigma in 10act. ( 16.8800545 sig out 1act.) RANK 5 NODE 1 --> 17.5773067 sigma in 10act. ( 17.5168533 sig out 1act.) RANK 6 NODE 5 --> 14.4560738 sigma in 10act. ( 14.5350561 sig out 1act.) RANK 7 NODE 9 --> 12.0093021 sigma in 10act. ( 11.620821 sig out 1act.) RANK 8 NODE 14 --> 10.8386593 sigma in 10act. ( 9.95223808 sig out 1act.) RANK 9 NODE 10 --> 10.7425537 sigma in 10act. ( 9.89466 sig out 1act.) RANK 10 NODE 6 --> 10.5430975 sigma in 10act. ( 6.37598801 sig out 1act.) RANK 11 NODE 8 --> 9.1728096 sigma in 10act. ( 5.7085166 sig out 1act.) RANK 12 NODE 2 --> 7.63946104 sigma in 10act. ( 2.44242001 sig out 1act.) RANK 13 NODE 7 --> 6.92467308 sigma in 10act. ( 5.36012506 sig out 1act.) RANK 14 NODE 13 --> 6.89254951 sigma in 10act. ( 3.2546587 sig out 1act.) RANK 15 NODE 12 --> 6.63949108 sigma in 10act. ( 2.88355947 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 29.2996788 sigma out 1act.( 27.9482918 sig in 10act.) RANK 2 NODE 3 --> 21.6992207 sigma out 1act.( 20.7989559 sig in 10act.) RANK 3 NODE 4 --> 19.2674561 sigma out 1act.( 19.9974327 sig in 10act.) RANK 4 NODE 1 --> 17.5168533 sigma out 1act.( 17.5773067 sig in 10act.) RANK 5 NODE 15 --> 16.8800545 sigma out 1act.( 18.6822739 sig in 10act.) RANK 6 NODE 5 --> 14.5350561 sigma out 1act.( 14.4560738 sig in 10act.) RANK 7 NODE 9 --> 11.620821 sigma out 1act.( 12.0093021 sig in 10act.) RANK 8 NODE 14 --> 9.95223808 sigma out 1act.( 10.8386593 sig in 10act.) RANK 9 NODE 10 --> 9.89466 sigma out 1act.( 10.7425537 sig in 10act.) RANK 10 NODE 6 --> 6.37598801 sigma out 1act.( 10.5430975 sig in 10act.) RANK 11 NODE 8 --> 5.7085166 sigma out 1act.( 9.1728096 sig in 10act.) RANK 12 NODE 7 --> 5.36012506 sigma out 1act.( 6.92467308 sig in 10act.) RANK 13 NODE 13 --> 3.2546587 sigma out 1act.( 6.89254951 sig in 10act.) RANK 14 NODE 12 --> 2.88355947 sigma out 1act.( 6.63949108 sig in 10act.) RANK 15 NODE 2 --> 2.44242001 sigma out 1act.( 7.63946104 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 54.4283524 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.418332815 *** contribution from regularisation: 0.00358251412 *** contribution from error: -0.421915323 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.459760994 *** contribution from regularisation: 0.00235057739 *** contribution from error: -0.462111562 *********************************************** -----------------> Test sample ENTER BFGS code START -43762.6713 0.272260696 -0.301077992 EXIT FROM BFGS code FG_START 0. 0.272260696 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.484425098 *** contribution from regularisation: 0.00223042234 *** contribution from error: -0.486655533 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -46100.313 0.272260696 -73.7388916 EXIT FROM BFGS code FG_LNSRCH 0. 0.261511505 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.53385818 *** contribution from regularisation: 0.00296628964 *** contribution from error: -0.536824465 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50804.6164 0.261511505 -88.6377563 EXIT FROM BFGS code NEW_X -50804.6164 0.261511505 -88.6377563 ENTER BFGS code NEW_X -50804.6164 0.261511505 -88.6377563 EXIT FROM BFGS code FG_LNSRCH 0. 0.239617854 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.543053389 *** contribution from regularisation: 0.00331988814 *** contribution from error: -0.546373248 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51679.677 0.239617854 -29.1908474 EXIT FROM BFGS code NEW_X -51679.677 0.239617854 -29.1908474 ENTER BFGS code NEW_X -51679.677 0.239617854 -29.1908474 EXIT FROM BFGS code FG_LNSRCH 0. 0.230346575 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.544621408 *** contribution from regularisation: 0.00304708746 *** contribution from error: -0.547668517 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51828.8944 0.230346575 -2.20932364 EXIT FROM BFGS code NEW_X -51828.8944 0.230346575 -2.20932364 ENTER BFGS code NEW_X -51828.8944 0.230346575 -2.20932364 EXIT FROM BFGS code FG_LNSRCH 0. 0.219726935 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.546101987 *** contribution from regularisation: 0.00294856797 *** contribution from error: -0.54905057 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51969.7935 0.219726935 -4.21431589 EXIT FROM BFGS code NEW_X -51969.7935 0.219726935 -4.21431589 ENTER BFGS code NEW_X -51969.7935 0.219726935 -4.21431589 EXIT FROM BFGS code FG_LNSRCH 0. 0.196931854 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.547933936 *** contribution from regularisation: 0.0029076722 *** contribution from error: -0.55084163 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52144.1358 0.196931854 18.5098801 EXIT FROM BFGS code NEW_X -52144.1358 0.196931854 18.5098801 ENTER BFGS code NEW_X -52144.1358 0.196931854 18.5098801 EXIT FROM BFGS code FG_LNSRCH 0. 0.190517157 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.548463345 *** contribution from regularisation: 0.00300521287 *** contribution from error: -0.551468551 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52194.5163 0.190517157 -218.609863 EXIT FROM BFGS code NEW_X -52194.5163 0.190517157 -218.609863 ENTER BFGS code NEW_X -52194.5163 0.190517157 -218.609863 EXIT FROM BFGS code FG_LNSRCH 0. 0.157909989 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 44.3893051 sigma out 15 active outputs RANK 2 NODE 1 --> 32.1100693 sigma out 15 active outputs RANK 3 NODE 7 --> 25.3851814 sigma out 15 active outputs RANK 4 NODE 8 --> 21.6483021 sigma out 15 active outputs RANK 5 NODE 2 --> 20.8061543 sigma out 15 active outputs RANK 6 NODE 9 --> 20.1667233 sigma out 15 active outputs RANK 7 NODE 4 --> 15.7178841 sigma out 15 active outputs RANK 8 NODE 6 --> 13.9993925 sigma out 15 active outputs RANK 9 NODE 3 --> 12.275528 sigma out 15 active outputs RANK 10 NODE 5 --> 10.7883205 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 48.6389275 sigma in 10act. ( 40.4506416 sig out 1act.) RANK 2 NODE 11 --> 26.353096 sigma in 10act. ( 31.8711815 sig out 1act.) RANK 3 NODE 4 --> 21.1080093 sigma in 10act. ( 16.7454681 sig out 1act.) RANK 4 NODE 15 --> 18.4005108 sigma in 10act. ( 15.3386612 sig out 1act.) RANK 5 NODE 3 --> 17.2647305 sigma in 10act. ( 15.6961393 sig out 1act.) RANK 6 NODE 13 --> 16.5579567 sigma in 10act. ( 14.6670456 sig out 1act.) RANK 7 NODE 10 --> 16.4957943 sigma in 10act. ( 14.5398426 sig out 1act.) RANK 8 NODE 14 --> 16.0193615 sigma in 10act. ( 13.94279 sig out 1act.) RANK 9 NODE 2 --> 15.1070194 sigma in 10act. ( 14.412776 sig out 1act.) RANK 10 NODE 7 --> 13.8624268 sigma in 10act. ( 10.5421419 sig out 1act.) RANK 11 NODE 1 --> 11.3704414 sigma in 10act. ( 9.80260658 sig out 1act.) RANK 12 NODE 5 --> 9.37910938 sigma in 10act. ( 8.14671803 sig out 1act.) RANK 13 NODE 9 --> 5.91908455 sigma in 10act. ( 3.68105602 sig out 1act.) RANK 14 NODE 8 --> 4.9460659 sigma in 10act. ( 2.55772281 sig out 1act.) RANK 15 NODE 12 --> 4.66462755 sigma in 10act. ( 2.52537847 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 40.4506416 sigma out 1act.( 48.6389275 sig in 10act.) RANK 2 NODE 11 --> 31.8711815 sigma out 1act.( 26.353096 sig in 10act.) RANK 3 NODE 4 --> 16.7454681 sigma out 1act.( 21.1080093 sig in 10act.) RANK 4 NODE 3 --> 15.6961393 sigma out 1act.( 17.2647305 sig in 10act.) RANK 5 NODE 15 --> 15.3386612 sigma out 1act.( 18.4005108 sig in 10act.) RANK 6 NODE 13 --> 14.6670456 sigma out 1act.( 16.5579567 sig in 10act.) RANK 7 NODE 10 --> 14.5398426 sigma out 1act.( 16.4957943 sig in 10act.) RANK 8 NODE 2 --> 14.412776 sigma out 1act.( 15.1070194 sig in 10act.) RANK 9 NODE 14 --> 13.94279 sigma out 1act.( 16.0193615 sig in 10act.) RANK 10 NODE 7 --> 10.5421419 sigma out 1act.( 13.8624268 sig in 10act.) RANK 11 NODE 1 --> 9.80260658 sigma out 1act.( 11.3704414 sig in 10act.) RANK 12 NODE 5 --> 8.14671803 sigma out 1act.( 9.37910938 sig in 10act.) RANK 13 NODE 9 --> 3.68105602 sigma out 1act.( 5.91908455 sig in 10act.) RANK 14 NODE 8 --> 2.55772281 sigma out 1act.( 4.9460659 sig in 10act.) RANK 15 NODE 12 --> 2.52537847 sigma out 1act.( 4.66462755 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 67.4003372 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.550344467 *** contribution from regularisation: 0.00278229848 *** contribution from error: -0.553126752 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -52373.5289 0.157909989 -32.6880951 EXIT FROM BFGS code NEW_X -52373.5289 0.157909989 -32.6880951 ENTER BFGS code NEW_X -52373.5289 0.157909989 -32.6880951 EXIT FROM BFGS code FG_LNSRCH 0. 0.147810578 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.550601721 *** contribution from regularisation: 0.00279920036 *** contribution from error: -0.553400934 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52398.01 0.147810578 -6.50982141 EXIT FROM BFGS code NEW_X -52398.01 0.147810578 -6.50982141 ENTER BFGS code NEW_X -52398.01 0.147810578 -6.50982141 EXIT FROM BFGS code FG_LNSRCH 0. 0.106001809 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.551496804 *** contribution from regularisation: 0.0029019278 *** contribution from error: -0.554398715 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52483.1935 0.106001809 52.8751297 EXIT FROM BFGS code NEW_X -52483.1935 0.106001809 52.8751297 ENTER BFGS code NEW_X -52483.1935 0.106001809 52.8751297 EXIT FROM BFGS code FG_LNSRCH 0. 0.0746862441 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.55243063 *** contribution from regularisation: 0.00287267147 *** contribution from error: -0.555303276 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52572.0581 0.0746862441 67.7859573 EXIT FROM BFGS code NEW_X -52572.0581 0.0746862441 67.7859573 ENTER BFGS code NEW_X -52572.0581 0.0746862441 67.7859573 EXIT FROM BFGS code FG_LNSRCH 0. 0.0357443243 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.550686836 *** contribution from regularisation: 0.00303021376 *** contribution from error: -0.553717077 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52406.1147 0.0357443243 -149.106827 EXIT FROM BFGS code FG_LNSRCH 0. 0.0641337484 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.553144634 *** contribution from regularisation: 0.00255451701 *** contribution from error: -0.55569917 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52640.0085 0.0641337484 17.4601879 EXIT FROM BFGS code NEW_X -52640.0085 0.0641337484 17.4601879 ENTER BFGS code NEW_X -52640.0085 0.0641337484 17.4601879 EXIT FROM BFGS code FG_LNSRCH 0. 0.0566776544 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.553340018 *** contribution from regularisation: 0.00277821789 *** contribution from error: -0.55611825 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52658.6046 0.0566776544 -7.15626812 EXIT FROM BFGS code NEW_X -52658.6046 0.0566776544 -7.15626812 ENTER BFGS code NEW_X -52658.6046 0.0566776544 -7.15626812 EXIT FROM BFGS code FG_LNSRCH 0. 0.0575768314 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.55350703 *** contribution from regularisation: 0.00269365427 *** contribution from error: -0.556200683 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52674.4944 0.0575768314 -8.56775093 EXIT FROM BFGS code NEW_X -52674.4944 0.0575768314 -8.56775093 ENTER BFGS code NEW_X -52674.4944 0.0575768314 -8.56775093 EXIT FROM BFGS code FG_LNSRCH 0. 0.0564010516 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.553698957 *** contribution from regularisation: 0.00262597902 *** contribution from error: -0.556324959 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52692.7587 0.0564010516 -13.687232 EXIT FROM BFGS code NEW_X -52692.7587 0.0564010516 -13.687232 ENTER BFGS code NEW_X -52692.7587 0.0564010516 -13.687232 EXIT FROM BFGS code FG_LNSRCH 0. 0.0429412462 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.55372256 *** contribution from regularisation: 0.0025323641 *** contribution from error: -0.556254923 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52695.005 0.0429412462 24.7992897 EXIT FROM BFGS code NEW_X -52695.005 0.0429412462 24.7992897 ENTER BFGS code NEW_X -52695.005 0.0429412462 24.7992897 EXIT FROM BFGS code FG_LNSRCH 0. 0.0429324657 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 55.4238319 sigma out 15 active outputs RANK 2 NODE 1 --> 31.6994858 sigma out 15 active outputs RANK 3 NODE 9 --> 30.3070755 sigma out 15 active outputs RANK 4 NODE 4 --> 30.0710773 sigma out 15 active outputs RANK 5 NODE 7 --> 26.9479828 sigma out 15 active outputs RANK 6 NODE 2 --> 22.4645424 sigma out 15 active outputs RANK 7 NODE 8 --> 21.5144787 sigma out 15 active outputs RANK 8 NODE 3 --> 17.2234535 sigma out 15 active outputs RANK 9 NODE 6 --> 16.0177612 sigma out 15 active outputs RANK 10 NODE 5 --> 14.5428867 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 59.4091797 sigma in 10act. ( 58.7375259 sig out 1act.) RANK 2 NODE 11 --> 41.5001221 sigma in 10act. ( 49.8685837 sig out 1act.) RANK 3 NODE 13 --> 23.7276154 sigma in 10act. ( 24.3798046 sig out 1act.) RANK 4 NODE 14 --> 21.8525219 sigma in 10act. ( 20.6456661 sig out 1act.) RANK 5 NODE 4 --> 21.2981567 sigma in 10act. ( 21.2310066 sig out 1act.) RANK 6 NODE 3 --> 18.9666519 sigma in 10act. ( 18.2642841 sig out 1act.) RANK 7 NODE 7 --> 18.2360115 sigma in 10act. ( 17.6839962 sig out 1act.) RANK 8 NODE 15 --> 15.4986115 sigma in 10act. ( 12.2948761 sig out 1act.) RANK 9 NODE 10 --> 15.4001808 sigma in 10act. ( 13.7344751 sig out 1act.) RANK 10 NODE 2 --> 14.4368839 sigma in 10act. ( 13.4691305 sig out 1act.) RANK 11 NODE 5 --> 11.4916162 sigma in 10act. ( 12.3940744 sig out 1act.) RANK 12 NODE 8 --> 6.63199282 sigma in 10act. ( 6.16240692 sig out 1act.) RANK 13 NODE 1 --> 5.91858673 sigma in 10act. ( 3.35116649 sig out 1act.) RANK 14 NODE 9 --> 3.51161933 sigma in 10act. ( 0.964264512 sig out 1act.) RANK 15 NODE 12 --> 3.24686074 sigma in 10act. ( 1.28917336 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 58.7375259 sigma out 1act.( 59.4091797 sig in 10act.) RANK 2 NODE 11 --> 49.8685837 sigma out 1act.( 41.5001221 sig in 10act.) RANK 3 NODE 13 --> 24.3798046 sigma out 1act.( 23.7276154 sig in 10act.) RANK 4 NODE 4 --> 21.2310066 sigma out 1act.( 21.2981567 sig in 10act.) RANK 5 NODE 14 --> 20.6456661 sigma out 1act.( 21.8525219 sig in 10act.) RANK 6 NODE 3 --> 18.2642841 sigma out 1act.( 18.9666519 sig in 10act.) RANK 7 NODE 7 --> 17.6839962 sigma out 1act.( 18.2360115 sig in 10act.) RANK 8 NODE 10 --> 13.7344751 sigma out 1act.( 15.4001808 sig in 10act.) RANK 9 NODE 2 --> 13.4691305 sigma out 1act.( 14.4368839 sig in 10act.) RANK 10 NODE 5 --> 12.3940744 sigma out 1act.( 11.4916162 sig in 10act.) RANK 11 NODE 15 --> 12.2948761 sigma out 1act.( 15.4986115 sig in 10act.) RANK 12 NODE 8 --> 6.16240692 sigma out 1act.( 6.63199282 sig in 10act.) RANK 13 NODE 1 --> 3.35116649 sigma out 1act.( 5.91858673 sig in 10act.) RANK 14 NODE 12 --> 1.28917336 sigma out 1act.( 3.24686074 sig in 10act.) RANK 15 NODE 9 --> 0.964264512 sigma out 1act.( 3.51161933 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 93.7084885 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.553745866 *** contribution from regularisation: 0.00273519987 *** contribution from error: -0.556481063 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -52697.2241 0.0429324657 -20.6237946 EXIT FROM BFGS code NEW_X -52697.2241 0.0429324657 -20.6237946 ENTER BFGS code NEW_X -52697.2241 0.0429324657 -20.6237946 EXIT FROM BFGS code FG_LNSRCH 0. 0.0396781377 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.553833842 *** contribution from regularisation: 0.00279360567 *** contribution from error: -0.556627452 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52705.5965 0.0396781377 -5.04279661 EXIT FROM BFGS code NEW_X -52705.5965 0.0396781377 -5.04279661 ENTER BFGS code NEW_X -52705.5965 0.0396781377 -5.04279661 EXIT FROM BFGS code FG_LNSRCH 0. 0.0356691852 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.553964198 *** contribution from regularisation: 0.00272877887 *** contribution from error: -0.556692958 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52718.0011 0.0356691852 -5.33626986 EXIT FROM BFGS code NEW_X -52718.0011 0.0356691852 -5.33626986 ENTER BFGS code NEW_X -52718.0011 0.0356691852 -5.33626986 EXIT FROM BFGS code FG_LNSRCH 0. 0.00327650644 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.554293513 *** contribution from regularisation: 0.00263000466 *** contribution from error: -0.556923509 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52749.3401 0.00327650644 8.85108376 EXIT FROM BFGS code NEW_X -52749.3401 0.00327650644 8.85108376 ENTER BFGS code NEW_X -52749.3401 0.00327650644 8.85108376 EXIT FROM BFGS code FG_LNSRCH 0. -0.0161989946 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.554286659 *** contribution from regularisation: 0.00280833035 *** contribution from error: -0.557094991 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52748.689 -0.0161989946 -50.0923729 EXIT FROM BFGS code FG_LNSRCH 0. -0.00436527748 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.554223299 *** contribution from regularisation: 0.00286381273 *** contribution from error: -0.557087123 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52742.6622 -0.00436527748 -12.6903343 EXIT FROM BFGS code FG_LNSRCH 0. 0.00196826831 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.554117382 *** contribution from regularisation: 0.00284232642 *** contribution from error: -0.556959689 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52732.578 0.00196826831 5.26238298 EXIT FROM BFGS code FG_LNSRCH 0. 0.00323740672 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.554106891 *** contribution from regularisation: 0.00281743985 *** contribution from error: -0.556924343 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52731.5827 0.00323740672 8.67806053 EXIT FROM BFGS code FG_LNSRCH 0. 0.00327646802 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.55409646 *** contribution from regularisation: 0.00282705133 *** contribution from error: -0.556923509 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52730.5883 0.00327646802 8.76421547 EXIT FROM BFGS code FG_LNSRCH 0. 0.00327650644 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.554102838 *** contribution from regularisation: 0.00282064127 *** contribution from error: -0.556923509 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52731.1982 0.00327650644 8.74837112 EXIT FROM BFGS code FG_LNSRCH 0. 0.00327650644 0. --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 57.8733177 sigma out 15 active outputs RANK 2 NODE 1 --> 33.7220726 sigma out 15 active outputs RANK 3 NODE 9 --> 33.0344009 sigma out 15 active outputs RANK 4 NODE 4 --> 31.9271965 sigma out 15 active outputs RANK 5 NODE 7 --> 29.4591885 sigma out 15 active outputs RANK 6 NODE 8 --> 24.3618336 sigma out 15 active outputs RANK 7 NODE 2 --> 23.1394081 sigma out 15 active outputs RANK 8 NODE 3 --> 19.2556114 sigma out 15 active outputs RANK 9 NODE 6 --> 18.5018539 sigma out 15 active outputs RANK 10 NODE 5 --> 17.3074093 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 61.0150566 sigma in 10act. ( 58.2689934 sig out 1act.) RANK 2 NODE 11 --> 47.847538 sigma in 10act. ( 55.544323 sig out 1act.) RANK 3 NODE 14 --> 26.8053856 sigma in 10act. ( 27.033432 sig out 1act.) RANK 4 NODE 13 --> 25.174284 sigma in 10act. ( 26.5761719 sig out 1act.) RANK 5 NODE 4 --> 23.3062115 sigma in 10act. ( 23.6482391 sig out 1act.) RANK 6 NODE 7 --> 21.4175243 sigma in 10act. ( 23.1410027 sig out 1act.) RANK 7 NODE 3 --> 18.6765537 sigma in 10act. ( 18.3464699 sig out 1act.) RANK 8 NODE 15 --> 14.3795252 sigma in 10act. ( 11.480134 sig out 1act.) RANK 9 NODE 2 --> 14.0964231 sigma in 10act. ( 12.9325657 sig out 1act.) RANK 10 NODE 10 --> 13.9364061 sigma in 10act. ( 12.3215284 sig out 1act.) RANK 11 NODE 5 --> 13.3228493 sigma in 10act. ( 15.5080471 sig out 1act.) RANK 12 NODE 8 --> 8.31416988 sigma in 10act. ( 7.96669197 sig out 1act.) RANK 13 NODE 1 --> 5.0612793 sigma in 10act. ( 2.64952946 sig out 1act.) RANK 14 NODE 12 --> 3.26617551 sigma in 10act. ( 1.95825028 sig out 1act.) RANK 15 NODE 9 --> 2.9534533 sigma in 10act. ( 0.375014454 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 58.2689934 sigma out 1act.( 61.0150566 sig in 10act.) RANK 2 NODE 11 --> 55.544323 sigma out 1act.( 47.847538 sig in 10act.) RANK 3 NODE 14 --> 27.033432 sigma out 1act.( 26.8053856 sig in 10act.) RANK 4 NODE 13 --> 26.5761719 sigma out 1act.( 25.174284 sig in 10act.) RANK 5 NODE 4 --> 23.6482391 sigma out 1act.( 23.3062115 sig in 10act.) RANK 6 NODE 7 --> 23.1410027 sigma out 1act.( 21.4175243 sig in 10act.) RANK 7 NODE 3 --> 18.3464699 sigma out 1act.( 18.6765537 sig in 10act.) RANK 8 NODE 5 --> 15.5080471 sigma out 1act.( 13.3228493 sig in 10act.) RANK 9 NODE 2 --> 12.9325657 sigma out 1act.( 14.0964231 sig in 10act.) RANK 10 NODE 10 --> 12.3215284 sigma out 1act.( 13.9364061 sig in 10act.) RANK 11 NODE 15 --> 11.480134 sigma out 1act.( 14.3795252 sig in 10act.) RANK 12 NODE 8 --> 7.96669197 sigma out 1act.( 8.31416988 sig in 10act.) RANK 13 NODE 1 --> 2.64952946 sigma out 1act.( 5.0612793 sig in 10act.) RANK 14 NODE 12 --> 1.95825028 sigma out 1act.( 3.26617551 sig in 10act.) RANK 15 NODE 9 --> 0.375014454 sigma out 1act.( 2.9534533 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 100.571938 sigma in 15 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.554111123 *** contribution from regularisation: 0.0028123646 *** contribution from error: -0.556923509 *********************************************** -----------------> Test sample Iteration No: 30 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -52731.9858 0.00327650644 8.73272133 EXIT FROM BFGS code FG_LNSRCH 0. 0.00327650644 0. --------------------------------------------------- Iteration : 31 *********************************************** *** Learn Path 31 *** loss function: -0.554109514 *** contribution from regularisation: 0.00281395507 *** contribution from error: -0.556923449 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52731.8345 0.00327650644 8.71860313 EXIT FROM BFGS code NEW_X -52731.8345 0.00327650644 8.71860313 ENTER BFGS code NEW_X -52731.8345 0.00327650644 8.71860313 EXIT FROM BFGS code CONVERGENC -52731.8345 0.00327650644 8.71860313 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 10 --> 86.61129 sigma out 15 active outputs RANK 2 NODE 1 --> 50.6903076 sigma out 15 active outputs RANK 3 NODE 9 --> 48.3919601 sigma out 15 active outputs RANK 4 NODE 4 --> 47.5046692 sigma out 15 active outputs RANK 5 NODE 7 --> 43.3871803 sigma out 15 active outputs RANK 6 NODE 8 --> 35.3603821 sigma out 15 active outputs RANK 7 NODE 2 --> 34.9172211 sigma out 15 active outputs RANK 8 NODE 3 --> 28.2385826 sigma out 15 active outputs RANK 9 NODE 6 --> 27.5960655 sigma out 15 active outputs RANK 10 NODE 5 --> 24.4449406 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 91.5352173 sigma in 10act. ( 87.4428864 sig out 1act.) RANK 2 NODE 11 --> 70.9672852 sigma in 10act. ( 83.7681274 sig out 1act.) RANK 3 NODE 14 --> 39.4806824 sigma in 10act. ( 40.3280067 sig out 1act.) RANK 4 NODE 13 --> 37.1290131 sigma in 10act. ( 39.5541801 sig out 1act.) RANK 5 NODE 4 --> 34.328083 sigma in 10act. ( 35.8343658 sig out 1act.) RANK 6 NODE 7 --> 31.7733974 sigma in 10act. ( 35.0129395 sig out 1act.) RANK 7 NODE 3 --> 27.9118557 sigma in 10act. ( 27.209795 sig out 1act.) RANK 8 NODE 15 --> 20.9250126 sigma in 10act. ( 17.2375374 sig out 1act.) RANK 9 NODE 10 --> 20.5083447 sigma in 10act. ( 18.4282398 sig out 1act.) RANK 10 NODE 2 --> 20.420372 sigma in 10act. ( 19.2913227 sig out 1act.) RANK 11 NODE 5 --> 19.4662609 sigma in 10act. ( 23.3573856 sig out 1act.) RANK 12 NODE 8 --> 11.9360266 sigma in 10act. ( 11.684392 sig out 1act.) RANK 13 NODE 1 --> 6.12479258 sigma in 10act. ( 3.82715845 sig out 1act.) RANK 14 NODE 12 --> 3.92345905 sigma in 10act. ( 2.88732266 sig out 1act.) RANK 15 NODE 9 --> 2.98382115 sigma in 10act. ( 0.560587287 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 87.4428864 sigma out 1act.( 91.5352173 sig in 10act.) RANK 2 NODE 11 --> 83.7681274 sigma out 1act.( 70.9672852 sig in 10act.) RANK 3 NODE 14 --> 40.3280067 sigma out 1act.( 39.4806824 sig in 10act.) RANK 4 NODE 13 --> 39.5541801 sigma out 1act.( 37.1290131 sig in 10act.) RANK 5 NODE 4 --> 35.8343658 sigma out 1act.( 34.328083 sig in 10act.) RANK 6 NODE 7 --> 35.0129395 sigma out 1act.( 31.7733974 sig in 10act.) RANK 7 NODE 3 --> 27.209795 sigma out 1act.( 27.9118557 sig in 10act.) RANK 8 NODE 5 --> 23.3573856 sigma out 1act.( 19.4662609 sig in 10act.) RANK 9 NODE 2 --> 19.2913227 sigma out 1act.( 20.420372 sig in 10act.) RANK 10 NODE 10 --> 18.4282398 sigma out 1act.( 20.5083447 sig in 10act.) RANK 11 NODE 15 --> 17.2375374 sigma out 1act.( 20.9250126 sig in 10act.) RANK 12 NODE 8 --> 11.684392 sigma out 1act.( 11.9360266 sig in 10act.) RANK 13 NODE 1 --> 3.82715845 sigma out 1act.( 6.12479258 sig in 10act.) RANK 14 NODE 12 --> 2.88732266 sigma out 1act.( 3.92345905 sig in 10act.) RANK 15 NODE 9 --> 0.560587287 sigma out 1act.( 2.98382115 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 151.05925 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.554105937 *** contribution from regularisation: 0.0028175686 *** contribution from error: -0.556923509 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28444 Closing output file done