NNInput NNInputs_190.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 15101 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 = 2270 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 2270 Chosen entries: 2270 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.176915 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 2270 Entries to split: 2270 Test with : 1135 Train with : 1135 ********************************************* * 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= 2270 for Signal Prepared event 0 for Signal with 2270 events ====Entry 0 Variable Ht : 105.259 Variable LepAPt : 28.6305 Variable LepBPt : 18.7106 Variable MetSigLeptonsJets : 4.91683 Variable MetSpec : 39.785 Variable SumEtLeptonsJets : 65.4737 Variable VSumJetLeptonsPt : 54.5429 Variable addEt : 87.1262 Variable dPhiLepSumMet : 2.86432 Variable dPhiLeptons : 0.583577 Variable dRLeptons : 0.696096 Variable lep1_E : 69.3236 Variable lep2_E : 32.5707 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2190 Ht = 105.259 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 28.6305 LepAPt = 28.6305 LepBEt = 18.7108 LepBPt = 18.7106 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 39.785 MetDelPhi = 1.6555 MetSig = 3.3244 MetSigLeptonsJets = 4.91683 MetSpec = 39.785 Mjj = 0 MostCentralJetEta = -2.49599 MtllMet = 109.59 Njets = 1 SB = 0 SumEt = 143.222 SumEtJets = 0 SumEtLeptonsJets = 65.4737 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 54.5429 addEt = 87.1262 dPhiLepSumMet = 2.86432 dPhiLeptons = 0.583577 dRLeptons = 0.696096 diltype = 40 dimass = 15.9826 event = 611 jet1_Et = 18.1326 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 69.3236 lep2_E = 32.5707 rand = 0.999742 run = 228536 weight = 1.83912e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===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 = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 1.26379 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 408 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 15101 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 408 negative weights. Signal fraction: 74.3691025 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.8076553 62.8013802 67.6402206 69.8675232 73.0364227 75.2261734 76.6470947 77.0398788 77.7438965 78.8119049 79.7536774 80.9606857 80.9730606 81.2101898 83.1961441 83.3727646 84.65448 85.096405 86.0107269 86.5688782 86.9693298 88.4828949 90.1262665 92.0647125 92.936264 93.6631546 95.4380493 96.8595657 97.9949722 98.4424057 99.5739899 100.083374 101.841782 103.305153 103.934387 104.968399 106.312904 106.717178 107.940834 108.369293 108.927322 110.421051 111.789108 113.255508 113.802521 115.181862 116.828117 117.80542 119.143234 120.713966 122.01326 123.21244 124.282486 125.331245 126.330505 128.376099 129.820282 130.720459 132.155167 133.15683 134.76207 136.597549 137.712463 139.44223 141.836945 143.088226 144.804321 146.564453 147.774017 148.952301 150.101959 151.698853 152.865479 153.964462 156.396027 158.426117 158.937225 160.43689 161.59848 164.226364 165.340393 168.745331 170.589233 173.73999 176.292145 178.393982 181.30043 184.372559 190.405365 193.90863 199.458893 203.775635 208.505005 213.628799 217.243652 227.608704 232.877594 255.127747 281.198669 314.238312 519.386597 ------------------------------ Transdef: Tab for variable 3 20.008112 20.5615349 21.0315704 21.1754227 21.5007458 21.5182629 21.7162418 22.1201324 22.3889294 22.5887852 22.7892265 22.8152981 23.0041904 23.2741356 23.5888462 23.6591492 24.0039577 24.4124413 24.7628136 25.0360641 25.2035408 25.3230877 25.4762459 25.6524963 25.856514 26.195591 26.3331623 26.6318398 26.9804611 27.0912724 27.1972809 27.3220901 27.7062035 28.0629845 28.1753273 28.4628143 28.6186409 28.8320656 29.1650238 29.4187126 29.788929 29.9976959 30.2265205 30.4756947 30.7167625 30.833786 31.0184479 31.2107582 31.5545845 31.6734638 31.7521172 31.9567032 32.1773529 32.2817993 32.4710655 32.786068 33.1378021 33.4351501 33.7777901 34.1100235 34.3763809 34.8596268 35.1739311 35.3010864 35.433651 35.6698952 36.1005821 36.4838715 36.6674576 36.8451271 37.293808 37.654747 37.9021835 38.328125 38.6431274 38.9606895 39.3059845 39.8470154 40.3060837 40.9094925 41.4310989 41.7694435 42.1879654 42.7638741 43.5691147 44.1038589 45.276413 45.87463 46.4733505 47.413353 47.9136505 48.7912216 49.5602875 50.5848618 52.019249 54.0198402 55.6550903 57.2418442 60.0117302 64.2522354 91.0271454 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1424894 10.1989746 10.3257942 10.4167938 10.4501266 10.5460577 10.6148167 10.663044 10.7837906 10.8945293 10.9255514 11.1315756 11.3120737 11.5538454 11.7465525 11.9609737 11.9967203 12.1475868 12.2111778 12.306076 12.4954071 12.6015739 12.7744017 12.8300667 13.1130791 13.3829947 13.6081247 13.6862392 13.762104 13.8357592 13.9547272 14.2423868 14.3823681 14.6785288 14.8833675 15.1465321 15.2122478 15.4098911 15.686058 15.8551741 16.026329 16.4291 16.7620945 16.8391991 16.9732208 17.2189178 17.4092216 17.6608047 17.9889984 18.1783352 18.4108772 18.5493813 18.8080826 19.1129532 19.2290459 19.5776711 19.7836628 20.0108757 20.1892967 20.3392982 20.4448967 20.6313248 20.769289 21.0216999 21.1343307 21.19067 21.3423843 21.4429703 21.6227798 21.7965946 21.9510269 22.1370907 22.2795982 22.4402962 22.6130104 22.729847 22.9873085 23.2068634 23.503664 23.6491756 23.8361111 24.1012115 24.4509888 24.634716 24.9292679 25.2231483 25.441843 25.7598343 26.0039101 26.4608917 26.7740974 27.2492161 27.5494728 27.9095497 28.3918781 28.9866562 29.7023506 30.7311897 31.7461319 38.2633057 ------------------------------ Transdef: Tab for variable 5 2.10590816 3.16210794 3.45135975 3.73019624 4.07578039 4.1568203 4.39069223 4.52536726 4.59430122 4.7561779 4.80259037 4.90781927 5.03251553 5.12443781 5.16682434 5.2903862 5.33496952 5.43338394 5.50333595 5.53610277 5.55455017 5.63198805 5.72012806 5.7672348 5.86331367 5.90965176 5.98130178 6.03958273 6.09269857 6.15299797 6.23330545 6.28256226 6.31810665 6.39713478 6.48420334 6.57396889 6.627491 6.6385355 6.6932621 6.72250843 6.75968122 6.8028574 6.87176371 6.88460255 6.91252708 6.98172712 7.02508688 7.07823467 7.12504101 7.15921307 7.1832428 7.22406578 7.27810192 7.32185936 7.36102247 7.38014221 7.40686131 7.44990158 7.50124121 7.54636002 7.60457897 7.65966272 7.7243042 7.77690315 7.87063551 7.9100275 7.95867348 8.00499725 8.06002522 8.08298111 8.1463747 8.19883919 8.24134064 8.26278305 8.31994247 8.3722086 8.42470741 8.50242615 8.54924965 8.62762451 8.69275856 8.74889183 8.83026695 8.92403412 8.95114803 9.05201244 9.15715981 9.27795029 9.37996578 9.44637489 9.62860584 9.76235962 9.87430668 10.0291615 10.1591663 10.3722334 10.5221443 10.7565212 11.119441 11.6486282 15.6461678 ------------------------------ Transdef: Tab for variable 6 25.0127583 26.602272 27.7206535 29.4030418 30.7098503 31.1141777 31.3071213 32.2644577 33.3345032 34.0643959 34.6956253 34.7533264 36.0113297 36.2735367 36.839859 37.6150513 38.4956856 38.8406677 39.3955536 40.3590927 40.5123138 40.8721085 41.3033028 42.1996002 42.4224434 42.5753288 42.8725128 43.1447144 43.5921631 43.83181 43.8756256 44.252388 44.5093079 45.3658905 45.813324 46.8468857 47.0757217 47.5988922 48.1129951 48.7191429 48.9523048 49.4872818 49.9727364 50.3334312 50.7745667 51.640686 52.3530273 52.9874496 53.5644684 54.0536346 54.363884 55.1332779 55.6773758 56.1175919 57.0470657 57.6254044 58.1491241 58.3471298 58.792984 59.5971222 60.0377998 61.0087738 61.9597893 62.6850586 63.3166809 64.0018463 64.846283 66.0011826 66.7046661 67.2898026 67.927002 68.5444489 69.2279968 69.9038239 70.6413269 71.6247787 72.6125946 73.3927612 74.0919418 74.7373276 75.4498444 76.4754944 77.6072388 78.5056458 79.850502 81.3149109 82.3423843 83.2820892 85.1325607 86.1129913 87.7770996 89.3743668 91.3529739 92.8091812 96.5269089 101.633659 104.281464 109.012909 121.373871 133.934967 180.570801 ------------------------------ Transdef: Tab for variable 7 30.250906 31.6798935 33.6402969 34.5185471 35.2834358 35.9616699 36.7612762 37.7034302 38.3865814 38.7726898 39.1597977 39.8299179 40.2659492 40.9425812 41.5706711 41.8650589 42.1660233 42.3233986 42.7212029 42.7346649 43.3001099 44.2881241 44.521492 45.4647903 46.524971 47.3233948 48.2313995 49.0414848 49.3930473 49.7367096 50.3360291 50.9944382 51.4014702 52.690567 53.4553223 54.3273392 55.1733513 55.8906555 56.0713005 56.7405853 57.41436 58.1704178 58.3040161 58.918499 59.1859055 59.7765808 60.7081146 61.6311264 62.3841095 62.8280182 63.1739044 63.8925781 64.817749 66.1481934 67.1071701 67.8222351 68.5602646 68.7908783 69.7419739 70.3749542 70.9038544 71.7516327 73.0343628 73.6521759 74.6100235 75.5577316 76.5879288 77.4483795 78.9071198 79.9612045 80.9151764 81.8769836 83.5264587 84.9641113 86.7550049 88.1665421 89.063385 90.1751709 91.6038742 92.8920593 94.5214691 96.2467957 98.6035614 100.593719 102.576836 105.704689 107.30983 109.604332 111.614548 114.392319 116.67749 120.836319 123.048401 126.530197 130.431915 137.060638 144.163971 154.214233 169.603333 198.69104 309.657013 ------------------------------ Transdef: Tab for variable 8 8.9502058 23.1709461 28.5125961 30.8968334 31.5146637 32.8051224 33.7981453 34.3107529 34.9702225 35.4376106 35.8595428 36.837265 37.3859062 37.7626953 37.8583679 38.4204369 38.8772736 39.2302094 39.3817825 39.6276627 39.7695007 40.044075 40.6542358 40.8982658 41.0567856 41.3534355 41.8697624 42.1873016 42.6623306 42.9837799 43.3291054 43.6887054 44.0400772 44.4770317 45.819931 46.3028412 46.6347275 47.4820862 48.3462524 48.6692886 48.7920914 49.0384979 49.3846092 49.806469 50.2023621 50.8232803 51.492981 52.0604706 52.732254 53.0620499 53.5923615 53.9640732 54.6322174 55.0969315 55.5493774 56.0530243 56.3716431 56.8128052 57.2998581 57.7949219 58.1456337 58.6019363 59.2868652 59.7204323 60.4378204 61.1962585 61.7862778 62.2570419 62.7791214 63.5062828 64.7158051 65.178772 65.8935471 66.8227463 67.8006744 68.0919037 68.8191528 69.3322144 70.3082047 71.1445923 72.2194595 73.2038422 74.2014313 74.4579773 75.8217316 77.1001129 78.3255615 79.3795319 81.1650696 83.6561432 85.1495819 87.3469849 88.6469574 91.7869034 95.688797 98.7064972 105.009323 109.963455 123.404022 132.840393 209.841858 ------------------------------ Transdef: Tab for variable 9 55.8076553 62.8013802 67.3902969 69.8722153 69.9849091 72.5441284 73.6818542 75.5134888 76.6004028 76.9863815 77.0618439 78.5032806 79.3546753 79.7536774 80.0830383 80.9621887 81.008667 81.3909607 83.1936188 83.3727646 84.65448 84.7676544 85.3485565 86.0250473 86.5710754 87.5676575 88.6092834 89.88797 90.5669327 91.7623672 92.9293976 93.2092133 94.1673584 95.2596207 95.9123383 96.6221771 97.2674713 98.1052856 98.8634796 99.721283 100.309494 101.206718 102.385056 103.45694 103.934387 104.804649 105.820724 106.414108 107.46479 107.95182 108.9021 109.982178 110.61145 111.68718 112.619385 113.328995 114.267693 115.117661 116.158684 116.718796 117.541626 118.400429 119.671898 120.562561 121.542824 122.324799 123.092606 123.850502 124.568535 125.461105 126.42186 127.623322 129.182663 130.153275 130.887177 132.083282 133.226044 134.77951 135.735718 136.966522 138.250259 139.570251 141.052612 142.565887 143.522003 144.898071 146.111313 147.683105 148.933029 150.795898 152.310699 153.922333 156.874481 159.960083 161.6073 164.535461 168.185654 175.703049 180.327545 192.57309 266.473724 ------------------------------ Transdef: Tab for variable 10 0.329844743 0.937850416 1.13448906 1.39164472 1.59938288 1.76589346 1.89097285 1.97674799 2.04279709 2.09807444 2.1769042 2.22007895 2.28293896 2.31920815 2.35094881 2.39178753 2.42826009 2.45266366 2.48455048 2.52193809 2.54064465 2.56546783 2.57705116 2.61271477 2.63552284 2.65539384 2.67171669 2.69438457 2.71582317 2.73687339 2.75885487 2.77619123 2.80063581 2.81079197 2.83223009 2.83753228 2.84963274 2.8517592 2.85399675 2.85882425 2.8675468 2.87606192 2.88055372 2.88995314 2.89758873 2.90570545 2.91316843 2.91713572 2.92608166 2.93553042 2.94099331 2.94831443 2.9522562 2.95660925 2.96422148 2.97127438 2.97790384 2.98131752 2.99075818 2.99452949 3.00271273 3.01067066 3.01474786 3.02416563 3.02812076 3.03365326 3.03521085 3.04114342 3.04410791 3.05011916 3.05386543 3.05964279 3.06409121 3.07057095 3.0721302 3.07643414 3.07870817 3.08072686 3.08262897 3.08658791 3.0907712 3.09376812 3.0963006 3.09987187 3.10205388 3.104985 3.10885763 3.11103797 3.11308312 3.11487532 3.1179471 3.12100244 3.1229732 3.12462711 3.1274817 3.12943172 3.13225818 3.13482428 3.13630247 3.13793015 3.1415844 ------------------------------ Transdef: Tab for variable 11 0.00017022471 0.00830614008 0.021769885 0.0283790193 0.0407507718 0.0470772684 0.0562578738 0.0700815916 0.0796844959 0.0910151005 0.0959503651 0.105976358 0.123515248 0.128579378 0.130239487 0.139801949 0.148620605 0.157562479 0.167434454 0.177842379 0.186680675 0.195686072 0.205273151 0.216821432 0.224972546 0.234450817 0.242682636 0.252186894 0.260186195 0.264237583 0.266590774 0.276226103 0.283211738 0.290566206 0.300276995 0.30787003 0.316517949 0.322166324 0.328055978 0.332741022 0.335450828 0.340433151 0.345934212 0.349256873 0.353399038 0.357615948 0.36472106 0.366743863 0.372408569 0.374594092 0.377393544 0.382799894 0.386888981 0.388371706 0.390138149 0.391146958 0.396288037 0.400813103 0.405475855 0.409752131 0.412120759 0.41821754 0.423078895 0.428438455 0.43409422 0.43942672 0.442593753 0.446330398 0.44902277 0.452436507 0.456985712 0.460947812 0.465340316 0.468057156 0.47289145 0.475280523 0.482469797 0.490902781 0.500981808 0.511298418 0.513896644 0.522009432 0.533476353 0.54752183 0.550534368 0.556845605 0.573636055 0.578014851 0.592392623 0.602122486 0.607239246 0.624913454 0.643226385 0.650360584 0.654467821 0.668298423 0.697327852 0.731807113 0.790161908 0.876360416 1.15715599 ------------------------------ Transdef: Tab for variable 12 0.348990828 0.387683094 0.400970638 0.404796511 0.408172548 0.411964655 0.414265841 0.41867885 0.421498358 0.424062967 0.425314397 0.427298695 0.428111017 0.431339443 0.434434354 0.437333882 0.438627303 0.440685928 0.444169998 0.446318388 0.448239118 0.450615078 0.453691006 0.457613587 0.46007365 0.461719334 0.463970542 0.466028094 0.468449831 0.470411181 0.472578645 0.474512696 0.476565599 0.477942735 0.480076998 0.485018194 0.487008631 0.491749585 0.493560016 0.496104598 0.500592828 0.503949523 0.506237388 0.508751869 0.511320949 0.513865232 0.516104937 0.520018578 0.521748006 0.525177479 0.528599739 0.529475331 0.532853961 0.536207199 0.538126826 0.543664753 0.549623072 0.552530408 0.554642379 0.559538782 0.564045548 0.569579124 0.573095083 0.579406261 0.582772255 0.587889075 0.593087316 0.595886588 0.601875782 0.605100274 0.610888004 0.615525961 0.621639967 0.628942907 0.637049615 0.644354939 0.65522027 0.658249617 0.665715814 0.666108429 0.667569876 0.671795249 0.67550081 0.680498719 0.692119956 0.700617969 0.704684615 0.713153362 0.718806148 0.727073908 0.735940218 0.742344141 0.749658644 0.758154273 0.763467789 0.790646851 0.816308856 0.87710464 0.915660977 0.943680406 1.1651752 ------------------------------ Transdef: Tab for variable 13 20.1440792 22.1211414 23.1108704 23.7223396 23.9670448 24.8083458 25.2920361 25.4449081 26.1124821 26.6056519 26.9675941 27.1431046 27.56213 27.7978363 28.0870838 28.6821613 29.0937233 29.5534668 29.580265 30.128767 30.5143986 30.5625057 30.9677048 31.0099258 31.3955727 31.8015747 32.0263023 32.3947334 33.0047531 33.4884033 34.0680046 34.5658722 35.0374069 35.3831711 35.4194412 35.8544998 35.9990387 36.3949738 36.7779312 37.2127342 37.6990242 38.0451813 38.4049301 38.5847816 39.0310135 39.5494385 40.374588 40.6306381 40.8709335 41.3354301 41.9768906 42.4941177 42.993557 43.5045395 43.9021835 44.3971596 44.9200211 45.5403557 45.9021416 46.3538628 46.7697411 47.2191925 47.8250427 48.4675674 48.8525238 49.538269 50.154808 50.639679 51.4969788 52.0150337 52.4235878 53.0908279 53.9107056 54.9622917 55.657486 56.681057 57.6592636 58.3750992 58.738224 59.4101448 59.7863007 60.3760948 61.4645157 62.0245323 62.7810287 63.4371109 64.9688568 66.4127197 67.2469635 68.2963181 70.0605469 71.9285583 73.6495819 77.3552094 77.7515564 81.8965607 82.9710388 88.0935364 95.1052246 106.862534 194.379669 ------------------------------ Transdef: Tab for variable 14 10.0093269 10.4301186 10.8928919 11.0597439 11.4020557 11.6523457 12.1901798 12.3148518 12.6874943 13.0787373 13.6670427 13.8502026 13.8865585 14.0704632 14.6123676 15.0053482 15.189249 15.4211283 15.8973598 16.2261257 16.2842255 16.6139278 16.7808342 17.116394 17.5493164 17.7299652 17.7717133 17.9588318 18.1822891 18.4857388 18.613636 18.7523499 18.9949837 19.1794319 19.4316921 19.7021561 19.8765163 20.0664558 20.2869015 20.7306576 20.9185009 21.1001587 21.4014339 21.6800823 21.8839989 22.08498 22.3099422 22.5532818 22.6324272 22.8830872 23.1975975 23.5054893 23.7332058 24.0175056 24.270216 24.5516281 24.7112465 25.0136299 25.162859 25.4982452 25.8073235 26.1687393 26.5338097 26.5919952 26.8048 27.1423225 27.280138 27.5210991 27.7323284 27.9531174 28.1741161 28.3908882 28.7877045 29.0656929 29.2576141 29.6231003 30.0578804 30.4894829 31.0114746 31.2677879 31.7881241 32.309761 32.7328377 33.2303543 33.6420097 34.0920258 34.7082443 35.2831497 35.8952065 36.9278564 37.9854851 39.0214005 40.3897705 41.4959412 43.0541954 44.1373215 46.3923454 47.9617767 53.7896729 59.1996727 82.892395 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 56.1 32.2 42.3 20.6 40.0 54.9 45.7 52.5 -25.0 -18.1 -28.5 17.1 37.1 2 56.1 100.0 47.7 41.6 42.3 74.3 94.2 79.4 89.0 -40.8 -21.8 -37.1 26.8 31.1 3 32.2 47.7 100.0 16.9 13.7 31.1 48.2 45.4 61.3 -0.4 -27.5 -46.5 65.6 7.7 4 42.3 41.6 16.9 100.0 13.1 29.5 42.5 40.6 46.6 -4.1 -21.7 -53.8 8.6 78.2 5 20.6 42.3 13.7 13.1 100.0 85.3 11.9 55.2 68.2 22.6 -6.4 -13.0 1.1 6.7 6 40.0 74.3 31.1 29.5 85.3 100.0 51.7 80.2 86.9 -3.3 -14.1 -26.7 14.5 20.9 7 54.9 94.2 48.2 42.5 11.9 51.7 100.0 70.6 74.2 -51.6 -22.0 -36.2 29.9 32.6 8 45.7 79.4 45.4 40.6 55.2 80.2 70.6 100.0 85.1 -9.2 -20.0 -35.5 27.5 29.8 9 52.5 89.0 61.3 46.6 68.2 86.9 74.2 85.1 100.0 -12.2 -24.0 -46.2 34.4 33.2 10 -25.0 -40.8 -0.4 -4.1 22.6 -3.3 -51.6 -9.2 -12.2 100.0 2.9 0.9 1.9 -6.1 11 -18.1 -21.8 -27.5 -21.7 -6.4 -14.1 -22.0 -20.0 -24.0 2.9 100.0 45.1 -18.6 -18.0 12 -28.5 -37.1 -46.5 -53.8 -13.0 -26.7 -36.2 -35.5 -46.2 0.9 45.1 100.0 -29.5 -42.9 13 17.1 26.8 65.6 8.6 1.1 14.5 29.9 27.5 34.4 1.9 -18.6 -29.5 100.0 30.5 14 37.1 31.1 7.7 78.2 6.7 20.9 32.6 29.8 33.2 -6.1 -18.0 -42.9 30.5 100.0 TOTAL CORRELATION TO TARGET (diagonal) 138.870276 TOTAL CORRELATION OF ALL VARIABLES 62.4463366 ROUND 1: MAX CORR ( 62.4435887) AFTER KILLING INPUT VARIABLE 2 CONTR 0.5858165 ROUND 2: MAX CORR ( 62.4357478) AFTER KILLING INPUT VARIABLE 6 CONTR 0.989531305 ROUND 3: MAX CORR ( 62.4319707) AFTER KILLING INPUT VARIABLE 8 CONTR 0.686757628 ROUND 4: MAX CORR ( 62.3719353) AFTER KILLING INPUT VARIABLE 11 CONTR 2.73727111 ROUND 5: MAX CORR ( 62.2323748) AFTER KILLING INPUT VARIABLE 9 CONTR 4.17011215 ROUND 6: MAX CORR ( 62.0880339) AFTER KILLING INPUT VARIABLE 4 CONTR 4.23609764 ROUND 7: MAX CORR ( 61.9458918) AFTER KILLING INPUT VARIABLE 12 CONTR 4.19886169 ROUND 8: MAX CORR ( 61.6047336) AFTER KILLING INPUT VARIABLE 10 CONTR 6.49232712 ROUND 9: MAX CORR ( 60.5640676) AFTER KILLING INPUT VARIABLE 5 CONTR 11.2755011 ROUND 10: MAX CORR ( 59.181132) AFTER KILLING INPUT VARIABLE 13 CONTR 12.8685623 ROUND 11: MAX CORR ( 58.5536859) AFTER KILLING INPUT VARIABLE 3 CONTR 8.59489703 ROUND 12: MAX CORR ( 54.9176146) AFTER KILLING INPUT VARIABLE 14 CONTR 20.312305 LAST REMAINING VARIABLE: 7 total correlation to target: 62.4463366 % total significance: 24.4919698 sigma correlations of single variables to target: variable 2: 56.0579973 % , in sigma: 21.9864102 variable 3: 32.23375 % , in sigma: 12.6423434 variable 4: 42.2542208 % , in sigma: 16.5724549 variable 5: 20.6075206 % , in sigma: 8.08244003 variable 6: 39.9733361 % , in sigma: 15.6778731 variable 7: 54.9176146 % , in sigma: 21.5391427 variable 8: 45.687456 % , in sigma: 17.9189982 variable 9: 52.5394351 % , in sigma: 20.606401 variable 10: -24.9977079 % , in sigma: 9.80430783 variable 11: -18.0552109 % , in sigma: 7.08140306 variable 12: -28.5038073 % , in sigma: 11.179429 variable 13: 17.0611454 % , in sigma: 6.69152236 variable 14: 37.1130328 % , in sigma: 14.5560385 variables sorted by significance: 1 most relevant variable 7 corr 54.917614 , in sigma: 21.5391425 2 most relevant variable 14 corr 20.3123055 , in sigma: 7.96665422 3 most relevant variable 3 corr 8.59489727 , in sigma: 3.3709898 4 most relevant variable 13 corr 12.8685627 , in sigma: 5.04715674 5 most relevant variable 5 corr 11.2755013 , in sigma: 4.42234486 6 most relevant variable 10 corr 6.49232721 , in sigma: 2.54634444 7 most relevant variable 12 corr 4.1988616 , in sigma: 1.64682825 8 most relevant variable 4 corr 4.23609781 , in sigma: 1.6614326 9 most relevant variable 9 corr 4.17011213 , in sigma: 1.63555247 10 most relevant variable 11 corr 2.73727107 , in sigma: 1.07358036 11 most relevant variable 8 corr 0.686757624 , in sigma: 0.269352021 12 most relevant variable 6 corr 0.989531279 , in sigma: 0.388102353 13 most relevant variable 2 corr 0.585816503 , in sigma: 0.229762078 global correlations between input variables: variable 2: 99.4797677 % variable 3: 93.843234 % variable 4: 89.7278771 % variable 5: 97.899083 % variable 6: 96.1984611 % variable 7: 99.3206452 % variable 8: 91.2427615 % variable 9: 99.2474148 % variable 10: 70.246291 % variable 11: 47.1214482 % variable 12: 71.5005462 % variable 13: 79.8062595 % variable 14: 86.7971634 % significance loss when removing single variables: variable 2: corr = 0.5858165 % , sigma = 0.229762077 variable 3: corr = 11.2000103 % , sigma = 4.39273668 variable 4: corr = 5.47877087 % , sigma = 2.14881925 variable 5: corr = 5.56674239 % , sigma = 2.18332241 variable 6: corr = 0.791688471 % , sigma = 0.310506767 variable 7: corr = 4.77482722 % , sigma = 1.87272673 variable 8: corr = 0.65496171 % , sigma = 0.2568814 variable 9: corr = 3.63910073 % , sigma = 1.42728541 variable 10: corr = 6.34321375 % , sigma = 2.4878609 variable 11: corr = 2.75503328 % , sigma = 1.08054684 variable 12: corr = 5.53234955 % , sigma = 2.16983326 variable 13: corr = 8.81947648 % , sigma = 3.45907163 variable 14: corr = 12.1288583 % , sigma = 4.75703856 Keep only 5 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 6 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 6.56536102 sigma out 15 active outputs RANK 2 NODE 2 --> 6.15509939 sigma out 15 active outputs RANK 3 NODE 3 --> 5.23243952 sigma out 15 active outputs RANK 4 NODE 4 --> 5.21537256 sigma out 15 active outputs RANK 5 NODE 5 --> 4.68396044 sigma out 15 active outputs RANK 6 NODE 6 --> 4.66453028 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 7.92102432 sigma in 6act. ( 8.88441753 sig out 1act.) RANK 2 NODE 7 --> 5.64955997 sigma in 6act. ( 5.9974103 sig out 1act.) RANK 3 NODE 11 --> 3.89774776 sigma in 6act. ( 3.73639011 sig out 1act.) RANK 4 NODE 10 --> 3.0875082 sigma in 6act. ( 3.38202548 sig out 1act.) RANK 5 NODE 4 --> 3.02402472 sigma in 6act. ( 3.15448093 sig out 1act.) RANK 6 NODE 5 --> 2.99558878 sigma in 6act. ( 3.19193697 sig out 1act.) RANK 7 NODE 8 --> 2.91534781 sigma in 6act. ( 3.00338531 sig out 1act.) RANK 8 NODE 9 --> 2.66998553 sigma in 6act. ( 3.35198355 sig out 1act.) RANK 9 NODE 14 --> 2.56013536 sigma in 6act. ( 2.87406182 sig out 1act.) RANK 10 NODE 6 --> 2.55988288 sigma in 6act. ( 2.90420771 sig out 1act.) RANK 11 NODE 2 --> 2.50703287 sigma in 6act. ( 2.67818737 sig out 1act.) RANK 12 NODE 3 --> 1.44645822 sigma in 6act. ( 1.54264426 sig out 1act.) RANK 13 NODE 12 --> 1.27386701 sigma in 6act. ( 0.958566129 sig out 1act.) RANK 14 NODE 1 --> 1.2723763 sigma in 6act. ( 1.13773346 sig out 1act.) RANK 15 NODE 15 --> 1.18617082 sigma in 6act. ( 0.851739407 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 8.88441753 sigma out 1act.( 7.92102432 sig in 6act.) RANK 2 NODE 7 --> 5.9974103 sigma out 1act.( 5.64955997 sig in 6act.) RANK 3 NODE 11 --> 3.73639011 sigma out 1act.( 3.89774776 sig in 6act.) RANK 4 NODE 10 --> 3.38202548 sigma out 1act.( 3.0875082 sig in 6act.) RANK 5 NODE 9 --> 3.35198355 sigma out 1act.( 2.66998553 sig in 6act.) RANK 6 NODE 5 --> 3.19193697 sigma out 1act.( 2.99558878 sig in 6act.) RANK 7 NODE 4 --> 3.15448093 sigma out 1act.( 3.02402472 sig in 6act.) RANK 8 NODE 8 --> 3.00338531 sigma out 1act.( 2.91534781 sig in 6act.) RANK 9 NODE 6 --> 2.90420771 sigma out 1act.( 2.55988288 sig in 6act.) RANK 10 NODE 14 --> 2.87406182 sigma out 1act.( 2.56013536 sig in 6act.) RANK 11 NODE 2 --> 2.67818737 sigma out 1act.( 2.50703287 sig in 6act.) RANK 12 NODE 3 --> 1.54264426 sigma out 1act.( 1.44645822 sig in 6act.) RANK 13 NODE 1 --> 1.13773346 sigma out 1act.( 1.2723763 sig in 6act.) RANK 14 NODE 12 --> 0.958566129 sigma out 1act.( 1.27386701 sig in 6act.) RANK 15 NODE 15 --> 0.851739407 sigma out 1act.( 1.18617082 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.4872942 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 11.7549734 sigma out 15 active outputs RANK 2 NODE 1 --> 10.5182238 sigma out 15 active outputs RANK 3 NODE 2 --> 7.85036325 sigma out 15 active outputs RANK 4 NODE 3 --> 6.0398469 sigma out 15 active outputs RANK 5 NODE 6 --> 5.21937513 sigma out 15 active outputs RANK 6 NODE 5 --> 5.04576397 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 7.24064398 sigma in 6act. ( 4.85820293 sig out 1act.) RANK 2 NODE 1 --> 7.06619072 sigma in 6act. ( 3.10857582 sig out 1act.) RANK 3 NODE 11 --> 6.42107344 sigma in 6act. ( 4.16922998 sig out 1act.) RANK 4 NODE 5 --> 6.08196974 sigma in 6act. ( 5.10989809 sig out 1act.) RANK 5 NODE 7 --> 6.0292964 sigma in 6act. ( 5.86027098 sig out 1act.) RANK 6 NODE 3 --> 5.97241688 sigma in 6act. ( 2.78765702 sig out 1act.) RANK 7 NODE 13 --> 5.37419128 sigma in 6act. ( 5.65381765 sig out 1act.) RANK 8 NODE 8 --> 5.36131382 sigma in 6act. ( 3.49068189 sig out 1act.) RANK 9 NODE 15 --> 4.71555376 sigma in 6act. ( 1.6931349 sig out 1act.) RANK 10 NODE 12 --> 4.6468606 sigma in 6act. ( 1.81807077 sig out 1act.) RANK 11 NODE 6 --> 3.59402204 sigma in 6act. ( 2.38078618 sig out 1act.) RANK 12 NODE 9 --> 3.47765064 sigma in 6act. ( 2.39953375 sig out 1act.) RANK 13 NODE 10 --> 3.45033884 sigma in 6act. ( 2.28037167 sig out 1act.) RANK 14 NODE 2 --> 2.49309182 sigma in 6act. ( 1.12144279 sig out 1act.) RANK 15 NODE 14 --> 1.56029379 sigma in 6act. ( 1.50167859 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 5.86027098 sigma out 1act.( 6.0292964 sig in 6act.) RANK 2 NODE 13 --> 5.65381765 sigma out 1act.( 5.37419128 sig in 6act.) RANK 3 NODE 5 --> 5.10989809 sigma out 1act.( 6.08196974 sig in 6act.) RANK 4 NODE 4 --> 4.85820293 sigma out 1act.( 7.24064398 sig in 6act.) RANK 5 NODE 11 --> 4.16922998 sigma out 1act.( 6.42107344 sig in 6act.) RANK 6 NODE 8 --> 3.49068189 sigma out 1act.( 5.36131382 sig in 6act.) RANK 7 NODE 1 --> 3.10857582 sigma out 1act.( 7.06619072 sig in 6act.) RANK 8 NODE 3 --> 2.78765702 sigma out 1act.( 5.97241688 sig in 6act.) RANK 9 NODE 9 --> 2.39953375 sigma out 1act.( 3.47765064 sig in 6act.) RANK 10 NODE 6 --> 2.38078618 sigma out 1act.( 3.59402204 sig in 6act.) RANK 11 NODE 10 --> 2.28037167 sigma out 1act.( 3.45033884 sig in 6act.) RANK 12 NODE 12 --> 1.81807077 sigma out 1act.( 4.6468606 sig in 6act.) RANK 13 NODE 15 --> 1.6931349 sigma out 1act.( 4.71555376 sig in 6act.) RANK 14 NODE 14 --> 1.50167859 sigma out 1act.( 1.56029379 sig in 6act.) RANK 15 NODE 2 --> 1.12144279 sigma out 1act.( 2.49309182 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.7598677 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.529602587 *** contribution from regularisation: 0.022812333 *** contribution from error: -0.552414894 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.601189554 *** contribution from regularisation: 0.0089365216 *** contribution from error: -0.610126078 *********************************************** -----------------> Test sample ENTER BFGS code START -4539.73627 0.183469936 0.0315825008 EXIT FROM BFGS code FG_START 0. 0.183469936 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.612205982 *** contribution from regularisation: 0.00381132914 *** contribution from error: -0.616017282 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4622.15503 0.183469936 0.853594363 EXIT FROM BFGS code FG_LNSRCH 0. 0.203912348 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.614294767 *** contribution from regularisation: 0.0067513017 *** contribution from error: -0.621046066 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4637.92538 0.203912348 -1.01031005 EXIT FROM BFGS code NEW_X -4637.92538 0.203912348 -1.01031005 ENTER BFGS code NEW_X -4637.92538 0.203912348 -1.01031005 EXIT FROM BFGS code FG_LNSRCH 0. 0.196214557 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.614875495 *** contribution from regularisation: 0.0070219445 *** contribution from error: -0.621897459 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4642.30987 0.196214557 -0.894416332 EXIT FROM BFGS code NEW_X -4642.30987 0.196214557 -0.894416332 ENTER BFGS code NEW_X -4642.30987 0.196214557 -0.894416332 EXIT FROM BFGS code FG_LNSRCH 0. 0.175441563 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.614402592 *** contribution from regularisation: 0.00506649492 *** contribution from error: -0.619469106 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4638.73955 0.175441563 -0.847953439 EXIT FROM BFGS code FG_LNSRCH 0. 0.19193536 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.611767113 *** contribution from regularisation: 0.0099995723 *** contribution from error: -0.621766686 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4618.8418 0.19193536 -0.838319361 EXIT FROM BFGS code FG_LNSRCH 0. 0.196099982 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.614547789 *** contribution from regularisation: 0.00734934444 *** contribution from error: -0.621897161 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4639.83597 0.196099982 -0.947174072 EXIT FROM BFGS code FG_LNSRCH 0. 0.196213707 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.614188373 *** contribution from regularisation: 0.00770906406 *** contribution from error: -0.621897459 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4637.12207 0.196213707 -0.950980246 EXIT FROM BFGS code FG_LNSRCH 0. 0.196214557 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 7.15760183 sigma out 15 active outputs RANK 2 NODE 1 --> 6.56089926 sigma out 15 active outputs RANK 3 NODE 2 --> 4.44764233 sigma out 15 active outputs RANK 4 NODE 6 --> 3.41925788 sigma out 15 active outputs RANK 5 NODE 3 --> 3.39844322 sigma out 15 active outputs RANK 6 NODE 5 --> 2.3259201 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 4.52360296 sigma in 6act. ( 2.39709306 sig out 1act.) RANK 2 NODE 4 --> 4.48387861 sigma in 6act. ( 2.70129967 sig out 1act.) RANK 3 NODE 3 --> 3.94084358 sigma in 6act. ( 2.17014289 sig out 1act.) RANK 4 NODE 5 --> 3.93207788 sigma in 6act. ( 2.77052832 sig out 1act.) RANK 5 NODE 11 --> 3.75625944 sigma in 6act. ( 2.1289165 sig out 1act.) RANK 6 NODE 8 --> 3.45939469 sigma in 6act. ( 2.19917202 sig out 1act.) RANK 7 NODE 7 --> 3.2128551 sigma in 6act. ( 2.82531023 sig out 1act.) RANK 8 NODE 12 --> 2.99281955 sigma in 6act. ( 1.55267298 sig out 1act.) RANK 9 NODE 15 --> 2.97802901 sigma in 6act. ( 1.49847209 sig out 1act.) RANK 10 NODE 9 --> 2.15792227 sigma in 6act. ( 1.24426365 sig out 1act.) RANK 11 NODE 6 --> 2.12015676 sigma in 6act. ( 1.3126173 sig out 1act.) RANK 12 NODE 10 --> 1.88073981 sigma in 6act. ( 0.810011387 sig out 1act.) RANK 13 NODE 13 --> 1.42457008 sigma in 6act. ( 0.919986963 sig out 1act.) RANK 14 NODE 2 --> 1.30778849 sigma in 6act. ( 0.367284745 sig out 1act.) RANK 15 NODE 14 --> 0.704020441 sigma in 6act. ( 0.340544015 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 2.82531023 sigma out 1act.( 3.2128551 sig in 6act.) RANK 2 NODE 5 --> 2.77052832 sigma out 1act.( 3.93207788 sig in 6act.) RANK 3 NODE 4 --> 2.70129967 sigma out 1act.( 4.48387861 sig in 6act.) RANK 4 NODE 1 --> 2.39709306 sigma out 1act.( 4.52360296 sig in 6act.) RANK 5 NODE 8 --> 2.19917202 sigma out 1act.( 3.45939469 sig in 6act.) RANK 6 NODE 3 --> 2.17014289 sigma out 1act.( 3.94084358 sig in 6act.) RANK 7 NODE 11 --> 2.1289165 sigma out 1act.( 3.75625944 sig in 6act.) RANK 8 NODE 12 --> 1.55267298 sigma out 1act.( 2.99281955 sig in 6act.) RANK 9 NODE 15 --> 1.49847209 sigma out 1act.( 2.97802901 sig in 6act.) RANK 10 NODE 6 --> 1.3126173 sigma out 1act.( 2.12015676 sig in 6act.) RANK 11 NODE 9 --> 1.24426365 sigma out 1act.( 2.15792227 sig in 6act.) RANK 12 NODE 13 --> 0.919986963 sigma out 1act.( 1.42457008 sig in 6act.) RANK 13 NODE 10 --> 0.810011387 sigma out 1act.( 1.88073981 sig in 6act.) RANK 14 NODE 2 --> 0.367284745 sigma out 1act.( 1.30778849 sig in 6act.) RANK 15 NODE 14 --> 0.340544015 sigma out 1act.( 0.704020441 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 7.24293947 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.613955438 *** contribution from regularisation: 0.00794200413 *** contribution from error: -0.621897459 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4635.36343 0.196214557 -0.910987139 EXIT FROM BFGS code FG_LNSRCH 0. 0.196214557 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.61445713 *** contribution from regularisation: 0.00744027039 *** contribution from error: -0.621897399 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4639.15152 0.196214557 -0.959699035 EXIT FROM BFGS code FG_LNSRCH 0. 0.196214557 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.613859653 *** contribution from regularisation: 0.00803777389 *** contribution from error: -0.621897399 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4634.64037 0.196214557 -0.931871474 EXIT FROM BFGS code FG_LNSRCH 0. 0.196214557 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.613886237 *** contribution from regularisation: 0.00801120233 *** contribution from error: -0.621897459 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4634.84098 0.196214557 -0.953389108 EXIT FROM BFGS code NEW_X -4634.84098 0.196214557 -0.953389108 ENTER BFGS code NEW_X -4634.84098 0.196214557 -0.953389108 EXIT FROM BFGS code CONVERGENC -4634.84098 0.196214557 -0.953389108 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 11.8465786 sigma out 15 active outputs RANK 2 NODE 1 --> 11.4002943 sigma out 15 active outputs RANK 3 NODE 2 --> 6.81864405 sigma out 15 active outputs RANK 4 NODE 6 --> 5.20242405 sigma out 15 active outputs RANK 5 NODE 3 --> 5.02353144 sigma out 15 active outputs RANK 6 NODE 5 --> 3.61621189 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 7.91635227 sigma in 6act. ( 4.84060717 sig out 1act.) RANK 2 NODE 1 --> 7.47067308 sigma in 6act. ( 4.3204217 sig out 1act.) RANK 3 NODE 5 --> 7.42771196 sigma in 6act. ( 4.45272875 sig out 1act.) RANK 4 NODE 3 --> 6.36468792 sigma in 6act. ( 3.80395961 sig out 1act.) RANK 5 NODE 8 --> 6.02865362 sigma in 6act. ( 3.62878537 sig out 1act.) RANK 6 NODE 11 --> 5.92181587 sigma in 6act. ( 3.82169032 sig out 1act.) RANK 7 NODE 7 --> 5.47543716 sigma in 6act. ( 5.33815718 sig out 1act.) RANK 8 NODE 15 --> 4.37408352 sigma in 6act. ( 2.48865986 sig out 1act.) RANK 9 NODE 12 --> 4.33635044 sigma in 6act. ( 2.65178323 sig out 1act.) RANK 10 NODE 9 --> 3.01437378 sigma in 6act. ( 1.87241304 sig out 1act.) RANK 11 NODE 6 --> 2.96213865 sigma in 6act. ( 2.26176643 sig out 1act.) RANK 12 NODE 10 --> 2.27104139 sigma in 6act. ( 1.27167773 sig out 1act.) RANK 13 NODE 13 --> 1.77381206 sigma in 6act. ( 1.40640795 sig out 1act.) RANK 14 NODE 2 --> 1.39880908 sigma in 6act. ( 0.498067141 sig out 1act.) RANK 15 NODE 14 --> 0.754602432 sigma in 6act. ( 0.418025374 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 5.33815718 sigma out 1act.( 5.47543716 sig in 6act.) RANK 2 NODE 4 --> 4.84060717 sigma out 1act.( 7.91635227 sig in 6act.) RANK 3 NODE 5 --> 4.45272875 sigma out 1act.( 7.42771196 sig in 6act.) RANK 4 NODE 1 --> 4.3204217 sigma out 1act.( 7.47067308 sig in 6act.) RANK 5 NODE 11 --> 3.82169032 sigma out 1act.( 5.92181587 sig in 6act.) RANK 6 NODE 3 --> 3.80395961 sigma out 1act.( 6.36468792 sig in 6act.) RANK 7 NODE 8 --> 3.62878537 sigma out 1act.( 6.02865362 sig in 6act.) RANK 8 NODE 12 --> 2.65178323 sigma out 1act.( 4.33635044 sig in 6act.) RANK 9 NODE 15 --> 2.48865986 sigma out 1act.( 4.37408352 sig in 6act.) RANK 10 NODE 6 --> 2.26176643 sigma out 1act.( 2.96213865 sig in 6act.) RANK 11 NODE 9 --> 1.87241304 sigma out 1act.( 3.01437378 sig in 6act.) RANK 12 NODE 13 --> 1.40640795 sigma out 1act.( 1.77381206 sig in 6act.) RANK 13 NODE 10 --> 1.27167773 sigma out 1act.( 2.27104139 sig in 6act.) RANK 14 NODE 2 --> 0.498067141 sigma out 1act.( 1.39880908 sig in 6act.) RANK 15 NODE 14 --> 0.418025374 sigma out 1act.( 0.754602432 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.5908136 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.613931 *** contribution from regularisation: 0.0079664439 *** contribution from error: -0.621897459 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23570 Closing output file done