NNInput NNInputs_120.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= 16885 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 = 4054 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4054 Chosen entries: 4054 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.315954 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4054 Entries to split: 4054 Test with : 2027 Train with : 2027 ********************************************* * 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= 4054 for Signal Prepared event 0 for Signal with 4054 events ====Entry 0 Variable Ht : 145.364 Variable LepAPt : 32.4071 Variable LepBPt : 14.9952 Variable MetSigLeptonsJets : 5.72853 Variable MetSpec : 54.5812 Variable SumEtLeptonsJets : 90.7821 Variable VSumJetLeptonsPt : 56.5225 Variable addEt : 101.984 Variable dPhiLepSumMet : 2.68381 Variable dPhiLeptons : 0.00111866 Variable dRLeptons : 0.666123 Variable lep1_E : 33.8814 Variable lep2_E : 22.5638 ===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 = 2120 Ht = 145.364 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 32.4071 LepAPt = 32.4071 LepBEt = 14.9954 LepBPt = 14.9952 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 54.5812 MetDelPhi = 1.80211 MetSig = 4.10211 MetSigLeptonsJets = 5.72853 MetSpec = 54.5812 Mjj = 0 MostCentralJetEta = 1.40949 MtllMet = 107.757 Njets = 1 SB = 0 SumEt = 177.04 SumEtJets = 0 SumEtLeptonsJets = 90.7821 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 56.5225 addEt = 101.984 dPhiLepSumMet = 2.68381 dPhiLeptons = 0.00111866 dRLeptons = 0.666123 diltype = 54 dimass = 14.9588 event = 846 jet1_Et = 43.3799 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 33.8814 lep2_E = 22.5638 rand = 0.999742 run = 232493 weight = 1.06435e-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 = 2.2592 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 407 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 16885 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 407 negative weights. Signal fraction: 69.3311539 % ------------------------------ 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 56.7608147 62.7009811 64.9040527 67.2284775 68.4836044 69.5412827 71.0074005 71.6808014 73.0364227 74.414238 75.5134888 76.5559921 76.9866409 77.0371933 77.6076508 79.7590027 80.9606857 81.6084137 82.8562317 83.413559 83.99263 84.6586761 85.1716919 86.017128 86.1930695 86.9450989 88.1758652 88.6377182 89.4246979 90.8116302 91.6540146 92.3524628 92.8404083 93.5645218 93.9752197 94.5206604 95.4403534 95.9247589 96.8646851 97.9775314 98.3893433 98.843544 99.347168 99.7253876 100.375 101.057968 101.633537 102.680359 103.379288 103.933105 104.804649 105.350159 105.740234 106.337883 106.719284 107.589317 107.977585 108.563377 109.555359 110.688782 111.482529 112.380913 113.277115 113.853836 114.555832 115.518715 116.655289 117.619019 118.839287 120.418427 121.293976 122.826828 124.37146 125.905617 127.449402 128.952667 130.984528 132.76004 133.705139 136.001892 137.940674 139.945251 142.033295 144.228729 146.317902 148.37265 150.790878 153.684982 156.444824 160.86615 163.6185 166.752838 171.822815 178.401276 185.425156 194.306519 204.556061 219.000671 235.340088 276.162994 524.602539 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.5296631 21.0477009 21.1756783 21.3574257 21.4481239 21.6477623 21.8384781 22.0203342 22.2062492 22.3914757 22.5647717 22.789854 22.8329906 23.0186653 23.1694546 23.5109062 23.616106 23.902153 24.1475639 24.3852615 24.7545204 25.0141602 25.1811371 25.327219 25.5647964 25.6062546 25.7333603 26.0558395 26.1948357 26.3335266 26.5698395 26.8102226 27.0458202 27.2230568 27.3778839 27.7236347 27.8344574 28.1213646 28.3386784 28.4686394 28.6585045 28.7956123 29.0485115 29.3063755 29.371357 29.5703678 29.665081 29.7474804 29.9757462 30.1393471 30.4337845 30.5857773 30.7355785 30.9308453 31.2474289 31.5305023 31.6727409 31.7350121 31.8885803 32.1764297 32.3343658 32.4797859 32.6819229 32.7596588 33.052887 33.1641006 33.4239502 33.716095 33.8398209 34.0271034 34.2205658 34.6323318 34.7775497 35.1728516 35.4208336 35.6221275 35.9408989 36.1899376 36.6155014 36.6682777 37.0600128 37.5448112 38.1712532 38.7796478 39.1976471 39.7349777 40.2837524 40.7862549 41.3402748 42.2716751 43.3583603 44.3828125 45.2229614 46.2178421 47.5861664 48.5930328 51.0546303 55.0588455 62.4411621 109.76886 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.0990276 10.1417389 10.2229443 10.3397446 10.3982401 10.4829941 10.502861 10.5496492 10.6148167 10.7029076 10.7944775 10.8566437 10.9231091 10.976944 11.068922 11.1626997 11.2442379 11.3805428 11.4480619 11.5023069 11.5930204 11.7314577 11.7938099 11.9340935 12.0365906 12.1901646 12.2340012 12.3100929 12.4461565 12.6551151 12.7743254 12.8380327 13.0513496 13.2277908 13.4156904 13.4964218 13.7059326 13.7758827 13.8084993 13.968111 14.1305447 14.3204575 14.4326706 14.6047058 14.7282944 14.9390631 15.1604233 15.2753801 15.4394436 15.668087 15.7730503 15.9052124 15.9846716 16.2238407 16.326664 16.5174313 16.7350464 16.9038391 17.0627518 17.3236008 17.5527134 17.7001762 17.9098129 18.0644608 18.3295898 18.4225731 18.6616325 18.893322 19.1290779 19.4153214 19.6540833 20.0264549 20.2201691 20.2966061 20.5102654 20.6907806 20.8256645 21.032856 21.1691513 21.3031101 21.5666161 21.7465591 21.899292 22.1779861 22.4360466 22.6851063 22.7892113 23.0144272 23.2942028 23.5883846 23.9582405 24.444191 24.5803165 24.9262695 25.6775436 26.1994629 27.0532646 28.0922241 30.2893181 35.9958534 ------------------------------ Transdef: Tab for variable 5 1.98205066 2.89797068 3.07253027 3.32452297 3.57895231 3.76245856 3.92647552 4.10522461 4.24021816 4.37344027 4.47106266 4.5252552 4.54295158 4.64620924 4.74240255 4.79123306 4.90659046 4.95603657 5.01692677 5.11939335 5.16353178 5.1720109 5.28301334 5.33080816 5.33599949 5.37171316 5.41196632 5.45009995 5.50963593 5.53676033 5.54030514 5.59188652 5.659688 5.72333813 5.76084328 5.82653522 5.88052702 5.95246553 6.01601553 6.05352306 6.12360764 6.19705296 6.25627041 6.30060291 6.32444191 6.38278484 6.44183969 6.50107288 6.55299568 6.60122347 6.638134 6.64377308 6.69037342 6.71166754 6.76874447 6.78640938 6.82820129 6.87164879 6.87872028 6.90760136 6.96583462 6.98973942 7.0326376 7.05612564 7.08247089 7.13059425 7.16231918 7.17721462 7.22281551 7.25016975 7.30822134 7.35826302 7.3851614 7.42037964 7.46573448 7.5043869 7.52549934 7.56386185 7.59782505 7.65752029 7.68783522 7.72659206 7.82012844 7.86812115 7.9274559 7.98011303 8.04764175 8.08588696 8.13484764 8.16676807 8.23936081 8.25478935 8.37232399 8.43969631 8.55368805 8.72492981 8.95048141 9.18087578 9.54720497 10.371685 13.4563236 ------------------------------ Transdef: Tab for variable 6 25.0099258 26.5344124 26.6315079 27.807209 28.7123241 29.1975536 30.3469486 31.1179867 31.2495575 31.637886 32.1420784 32.2784576 32.6695099 33.3207779 33.8959579 34.2160645 34.6956253 34.7381783 35.1563148 35.777523 36.3047409 36.9858627 37.5337982 37.7734146 38.2963791 38.5434952 39.2009773 39.6464348 40.0888214 40.4249344 40.7034607 41.1721916 41.7795639 42.325779 42.5721054 42.8714714 42.9843712 43.5473595 43.8307343 43.8907776 44.2944984 44.4693756 44.9774361 45.3654633 45.6568604 45.8526154 46.1979294 46.6938019 47.0408211 47.3826904 47.6153183 47.9480896 48.2188568 48.4127884 48.7841797 49.1910744 49.3653755 49.5490189 49.7591171 50.039444 50.3331299 50.4992867 50.7551117 51.2879105 51.7852097 52.0684738 52.5171242 53.1498337 53.6542854 54.1112442 54.3649406 54.7628059 55.1378555 55.6248322 56.0952606 56.3770752 56.6573257 57.1926384 57.4676247 57.9931946 58.2112007 58.580513 59.1034775 59.5971222 59.9723015 60.9843826 61.828968 62.811306 63.6543388 65.142746 66.6387405 67.9178696 69.1468658 70.9117126 72.4775696 75.2179108 77.8430786 81.4601135 85.466156 96.424942 158.633423 ------------------------------ Transdef: Tab for variable 7 30.4189453 31.6797562 33.4338989 33.7772064 34.5213127 35.2834358 35.6016006 36.3411255 36.8504066 37.3831215 37.8174706 38.5649414 38.9111557 39.1520996 39.3913345 39.7554626 40.0780792 40.533432 40.6173592 41.0156784 41.352829 41.5691528 41.8673706 42.2253723 42.555275 42.9539948 43.5354843 44.1650238 44.6002846 44.6455994 44.8805923 44.9369698 45.4207306 45.7996178 46.1746979 46.5386658 46.9153214 47.443222 48.1759109 48.3388672 48.8684959 49.3379898 49.5608444 49.738884 50.2853355 50.7541695 51.0679741 51.6569824 52.2640495 52.5181503 53.1994476 53.8745041 54.5559387 55.1041298 55.824501 56.4899712 57.1607895 57.861908 58.2241364 58.9223366 59.5393448 60.2365036 61.1734772 62.3224945 62.8270569 64.237381 65.6236649 66.8104706 68.3655243 69.2187805 70.3965378 71.212616 73.0657043 73.9964981 75.0470428 76.5792084 76.9199066 78.1181488 79.5139999 81.0849762 82.4988403 84.1186981 86.6731873 88.4396362 89.6856003 92.3399353 94.3229294 96.6663818 99.0358276 102.433151 105.408951 108.937996 112.96669 117.565216 123.551865 131.447174 137.672546 147.886108 163.166473 180.367706 309.657013 ------------------------------ Transdef: Tab for variable 8 6.80322456 24.8439636 28.4505825 29.38731 30.8842278 31.5203133 32.3103065 33.1593857 33.7312698 33.8556519 34.2646866 34.4885254 35.436264 35.5549698 36.1016998 36.1191025 36.837265 37.2306366 37.7626419 38.0992317 38.3734512 38.7054482 38.8838539 39.1112442 39.2669449 39.5569 39.6811752 39.8073997 39.9498291 40.3831253 40.599762 40.9025421 41.0572777 41.3534355 41.5800819 41.8816986 42.224575 42.6818466 42.9836426 43.2489967 43.6703491 43.9882164 44.1087837 44.3601494 44.5037727 44.8392715 44.9269257 45.3330002 45.5785065 46.0228577 46.3066864 46.7296791 46.9175148 47.3753281 47.8125305 48.1440315 48.3001022 48.6731606 48.7489624 48.8069458 49.1377602 49.3846092 49.6701202 50.052578 50.3544617 50.7160416 51.1792679 51.5617294 52.0273819 52.435379 52.7814407 53.0604439 53.3346291 53.8558807 54.5286102 54.8997879 55.3164215 55.8245316 56.43116 56.9095688 57.6798706 58.1458282 58.5059204 59.2612762 59.9448967 60.8062744 61.7642632 63.2573242 64.4883728 65.2852631 66.5210266 68.2788849 69.5355377 71.9862289 74.7286453 77.9812775 80.9809418 85.915062 91.8609314 103.814705 217.760361 ------------------------------ Transdef: Tab for variable 9 56.7608147 62.7009811 63.4703712 66.3888397 67.4355774 69.1061096 70.5610352 71.0074005 71.4254837 73.0364227 74.3199692 75.0536194 75.5134888 76.3230286 76.868866 77.0271454 77.1426544 78.2568207 79.0292816 79.8314438 80.7549744 81.0402679 81.7979965 82.7502975 83.3714828 83.6257477 84.4800568 84.7561951 85.3267975 86.0251541 86.2236481 86.7358704 87.4411316 88.1877823 88.6377182 88.9782104 89.9218369 90.567276 91.0095367 91.543808 92.0337524 92.526741 92.9287415 93.3299103 93.5780945 94.07724 94.735733 95.4371033 95.787117 96.0717545 96.7010956 97.359375 97.9775314 98.3993073 98.74646 99.0154572 99.3988113 99.7291794 100.382248 100.828888 101.604965 102.075943 102.808868 103.458786 103.975655 104.634171 104.930779 105.608353 105.928574 106.336884 106.774437 107.438934 107.95182 108.279045 108.866272 109.511581 110.307709 111.056488 111.748444 112.302155 113.083252 113.655365 114.585022 115.014023 115.828079 116.850235 117.537476 118.327301 119.636208 120.602333 121.842705 123.20224 124.420395 126.493637 128.34024 131.051453 134.010223 139.334503 146.517212 163.869171 282.530121 ------------------------------ Transdef: Tab for variable 10 0.458374858 1.0076195 1.23933768 1.44752502 1.58287752 1.71958661 1.8342545 1.91298425 2.00819635 2.06386805 2.12383699 2.17072964 2.21327972 2.26286912 2.30440331 2.36174202 2.40512848 2.42945457 2.46857452 2.50024176 2.527318 2.54610395 2.56766987 2.58653283 2.62287235 2.64609909 2.68034792 2.70142412 2.71627998 2.72833109 2.75456333 2.78126574 2.79779506 2.808707 2.82805824 2.83578181 2.84493566 2.85057616 2.8518126 2.85711479 2.86524487 2.87606192 2.88055372 2.88590002 2.89790869 2.9127574 2.91842341 2.92616296 2.93030715 2.93959236 2.94673347 2.95473671 2.95862007 2.96600986 2.97151423 2.9770546 2.9802227 2.98831391 2.99234605 2.99446249 3.00270796 3.00626826 3.01219559 3.01638269 3.02514791 3.02978039 3.03463149 3.03723812 3.04168749 3.0468688 3.05249214 3.05640173 3.05864 3.06411004 3.06646657 3.06929302 3.07212901 3.07392859 3.07643652 3.0794456 3.08247709 3.08707809 3.08877802 3.09329224 3.09604526 3.10056782 3.10372353 3.10572481 3.10938191 3.11207056 3.11308122 3.11394787 3.11565495 3.11874056 3.12273121 3.12741423 3.12892365 3.13168836 3.13454318 3.13775754 3.1415844 ------------------------------ Transdef: Tab for variable 11 7.2479248E-05 0.00723695755 0.0114059448 0.0208990499 0.0380907059 0.0468287691 0.0518130064 0.0607780814 0.0730462074 0.0838891268 0.0918403566 0.0986960381 0.108875155 0.119082093 0.126508117 0.132642984 0.14168632 0.156827033 0.16360718 0.171203375 0.17741549 0.187165141 0.197615176 0.211995184 0.224979401 0.230305254 0.23323822 0.23912406 0.250894934 0.259850562 0.263462007 0.271652102 0.27903378 0.29110074 0.302403808 0.313181758 0.322368324 0.330891013 0.337626338 0.344556242 0.346610308 0.352779865 0.360297322 0.365583658 0.370861053 0.374240398 0.377114177 0.37995863 0.385419071 0.388126373 0.390138149 0.394669384 0.399814844 0.404421985 0.410061657 0.413125992 0.417520225 0.422402263 0.425477505 0.431250632 0.436689615 0.439626813 0.444223881 0.44675827 0.44788754 0.453613371 0.459073067 0.464157879 0.467272043 0.475259006 0.477624178 0.489912361 0.498694718 0.505888939 0.512673318 0.517737031 0.52260226 0.528215766 0.534809589 0.547103405 0.551684618 0.564191997 0.573392808 0.576903999 0.583045483 0.590843737 0.59519583 0.607219219 0.613469601 0.621986926 0.631899357 0.644198537 0.650254369 0.656203628 0.675773859 0.713858128 0.767797112 0.79240346 0.820035934 0.869700193 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.280899316 0.402792335 0.409134686 0.411952317 0.413618684 0.415825993 0.419868171 0.424059331 0.427141279 0.428931832 0.432889849 0.437514335 0.439595997 0.443466455 0.446916133 0.451631963 0.455822349 0.459621549 0.463821709 0.467272162 0.469523162 0.473266065 0.476081967 0.4780249 0.481651157 0.483602583 0.487667859 0.490175724 0.491576016 0.494840026 0.499067158 0.502533913 0.504710674 0.508804262 0.512439489 0.514356256 0.5188272 0.521545231 0.523692131 0.528592706 0.531581163 0.536565185 0.538449168 0.542518854 0.546067834 0.549130201 0.555513382 0.557287276 0.559566915 0.564452887 0.567007482 0.569491386 0.574873865 0.577038467 0.578782678 0.58294332 0.586753011 0.592366219 0.596109271 0.601025701 0.605626702 0.611735106 0.615007639 0.620828629 0.625679493 0.630624294 0.634395599 0.637067199 0.641777694 0.646140814 0.650766969 0.656445265 0.660491467 0.665326715 0.666105628 0.667787492 0.674444437 0.678235948 0.68119216 0.691424489 0.69953227 0.702903509 0.712896168 0.719008923 0.726333916 0.729005218 0.737884521 0.742483318 0.749658644 0.753837228 0.763970137 0.776471913 0.791949272 0.796441078 0.819939375 0.842739046 0.866174817 0.883309782 0.915475845 0.934366345 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.1368732 21.7419128 22.3880463 22.7811623 23.1165848 23.4714241 23.8649693 24.5132866 24.9954643 25.2098923 25.4104595 26.0904617 26.7290401 27.0835114 27.4302483 27.8823853 28.1351662 28.6213322 28.8530464 29.3022976 29.5638714 29.6662445 29.9755173 30.1332703 30.5140514 30.5755081 30.9037209 31.0105438 31.3298149 31.450243 31.8020535 32.1716843 32.4592934 32.5933914 32.9754982 33.1172104 33.54776 34.0785179 34.4142609 34.6349564 35.0044518 35.299572 35.5119934 35.7636681 36.0535736 36.186554 36.3204308 36.6286697 37.0515747 37.3001404 37.6871948 37.9931412 38.5522614 39.0590973 39.4775658 39.8056946 40.1483994 40.6260071 40.916214 41.4453392 42.0844879 42.8216095 43.2947235 43.7200089 44.3149872 44.6311111 45.4313774 46.1192932 46.4311714 46.8600998 47.8597565 48.4699249 48.9967346 49.7128983 50.4314117 50.8574295 51.2572632 52.3734741 53.5084801 54.5081177 55.4482079 56.909214 58.0271721 58.8595581 60.085907 61.1475601 62.0925064 63.1195068 65.3750916 66.7513428 69.3016205 71.6614761 74.1706543 77.1760559 80.5025177 82.9671021 85.3630829 89.0352402 93.0301208 102.937302 203.189209 ------------------------------ Transdef: Tab for variable 14 10.0354385 10.4776945 10.7074041 10.9244976 11.2040749 11.3878517 11.5942192 11.7314911 11.9821854 12.1939831 12.3120346 12.4033766 12.4768782 12.8317509 13.0069532 13.4230309 13.7239647 13.8845291 14.0222626 14.3999691 14.6002979 15.0522919 15.4154625 15.6500473 15.9083548 16.2721748 16.3768768 16.4593353 16.5610161 16.7808342 16.9411011 17.2320194 17.5943375 17.7124405 17.7358189 17.860321 17.9586754 18.1141357 18.1876011 18.2777596 18.5102654 18.7509003 18.78685 19.0499763 19.2573528 19.5605049 19.8741989 20.0396996 20.3323326 20.5787163 20.664032 20.8540993 21.1127129 21.4432259 21.6657219 21.7733955 22.0012245 22.1484985 22.3509407 22.5034485 22.6123543 22.8983974 23.1373253 23.249939 23.5421371 23.8891792 24.2433281 24.4935837 24.5758057 24.9897518 25.2558384 25.7226715 26.0666008 26.4789963 26.6207733 27.0482006 27.3430252 27.4613533 27.6630306 28.052578 28.4878998 28.9751854 29.1922207 29.5258694 29.8963203 30.5947952 31.2582817 31.5408783 31.9404659 32.836525 33.5545883 34.4590302 35.6634445 37.0202103 38.0187759 39.5129013 41.7402115 43.7590942 48.6811142 55.188652 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 45.8 17.5 30.7 -1.7 23.5 46.5 31.5 37.9 -24.8 -6.2 -15.7 8.3 24.6 2 45.8 100.0 51.0 37.4 12.2 60.7 93.8 63.7 85.8 -50.0 -17.9 -32.5 27.9 25.2 3 17.5 51.0 100.0 4.4 -6.5 21.3 53.8 37.1 59.9 -11.2 -19.7 -37.0 63.2 -1.8 4 30.7 37.4 4.4 100.0 -3.4 17.9 40.2 32.8 40.6 -5.1 -17.8 -44.0 -1.4 76.6 5 -1.7 12.2 -6.5 -3.4 100.0 78.5 -18.0 34.1 47.2 30.1 0.4 0.8 -9.9 -5.0 6 23.5 60.7 21.3 17.9 78.5 100.0 36.3 66.2 80.6 -4.4 -8.1 -15.6 7.6 10.1 7 46.5 93.8 53.8 40.2 -18.0 36.3 100.0 58.2 71.0 -56.0 -18.9 -32.9 32.1 28.0 8 31.5 63.7 37.1 32.8 34.1 66.2 58.2 100.0 73.9 -8.5 -18.1 -25.9 22.2 24.6 9 37.9 85.8 59.9 40.6 47.2 80.6 71.0 73.9 100.0 -20.0 -19.5 -38.8 32.3 26.7 10 -24.8 -50.0 -11.2 -5.1 30.1 -4.4 -56.0 -8.5 -20.0 100.0 -0.7 2.7 -5.0 -3.2 11 -6.2 -17.9 -19.7 -17.8 0.4 -8.1 -18.9 -18.1 -19.5 -0.7 100.0 48.4 -18.6 -20.6 12 -15.7 -32.5 -37.0 -44.0 0.8 -15.6 -32.9 -25.9 -38.8 2.7 48.4 100.0 -20.5 -33.0 13 8.3 27.9 63.2 -1.4 -9.9 7.6 32.1 22.2 32.3 -5.0 -18.6 -20.5 100.0 24.8 14 24.6 25.2 -1.8 76.6 -5.0 10.1 28.0 24.6 26.7 -3.2 -20.6 -33.0 24.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 100.293967 TOTAL CORRELATION OF ALL VARIABLES 49.7777943 ROUND 1: MAX CORR ( 49.7777428) AFTER KILLING INPUT VARIABLE 2 CONTR 0.0715711423 ROUND 2: MAX CORR ( 49.7773787) AFTER KILLING INPUT VARIABLE 6 CONTR 0.190391258 ROUND 3: MAX CORR ( 49.7761775) AFTER KILLING INPUT VARIABLE 10 CONTR 0.345813898 ROUND 4: MAX CORR ( 49.7743445) AFTER KILLING INPUT VARIABLE 8 CONTR 0.427163757 ROUND 5: MAX CORR ( 49.7674355) AFTER KILLING INPUT VARIABLE 4 CONTR 0.829297139 ROUND 6: MAX CORR ( 49.7399386) AFTER KILLING INPUT VARIABLE 12 CONTR 1.65413178 ROUND 7: MAX CORR ( 49.6614237) AFTER KILLING INPUT VARIABLE 5 CONTR 2.79365048 ROUND 8: MAX CORR ( 49.5259878) AFTER KILLING INPUT VARIABLE 3 CONTR 3.66517958 ROUND 9: MAX CORR ( 49.3595615) AFTER KILLING INPUT VARIABLE 11 CONTR 4.05674134 ROUND 10: MAX CORR ( 48.865158) AFTER KILLING INPUT VARIABLE 9 CONTR 6.96869025 ROUND 11: MAX CORR ( 47.9947682) AFTER KILLING INPUT VARIABLE 13 CONTR 9.18182435 ROUND 12: MAX CORR ( 46.4500956) AFTER KILLING INPUT VARIABLE 14 CONTR 12.0783438 LAST REMAINING VARIABLE: 7 total correlation to target: 49.7777943 % total significance: 26.8820272 sigma correlations of single variables to target: variable 2: 45.8023061 % , in sigma: 24.7351024 variable 3: 17.5470553 % , in sigma: 9.47612133 variable 4: 30.7476916 % , in sigma: 16.6050002 variable 5: -1.69382999 % , in sigma: 0.914736875 variable 6: 23.4908357 % , in sigma: 12.6860037 variable 7: 46.4500956 % , in sigma: 25.084935 variable 8: 31.4803427 % , in sigma: 17.0006615 variable 9: 37.8580849 % , in sigma: 20.4449008 variable 10: -24.7533235 % , in sigma: 13.3677984 variable 11: -6.23538869 % , in sigma: 3.36736271 variable 12: -15.6516043 % , in sigma: 8.45250091 variable 13: 8.32038899 % , in sigma: 4.49334742 variable 14: 24.6039393 % , in sigma: 13.2871248 variables sorted by significance: 1 most relevant variable 7 corr 46.4500961 , in sigma: 25.0849353 2 most relevant variable 14 corr 12.0783434 , in sigma: 6.52279517 3 most relevant variable 13 corr 9.18182468 , in sigma: 4.95855762 4 most relevant variable 9 corr 6.9686904 , in sigma: 3.76337537 5 most relevant variable 11 corr 4.05674124 , in sigma: 2.19080476 6 most relevant variable 3 corr 3.66517949 , in sigma: 1.97934554 7 most relevant variable 5 corr 2.79365039 , in sigma: 1.50868448 8 most relevant variable 12 corr 1.65413177 , in sigma: 0.893298225 9 most relevant variable 4 corr 0.829297125 , in sigma: 0.447854073 10 most relevant variable 8 corr 0.42716375 , in sigma: 0.230685745 11 most relevant variable 10 corr 0.3458139 , in sigma: 0.186753528 12 most relevant variable 6 corr 0.190391257 , in sigma: 0.102818999 13 most relevant variable 2 corr 0.0715711415 , in sigma: 0.0386513184 global correlations between input variables: variable 2: 98.9697993 % variable 3: 92.3418901 % variable 4: 89.8547652 % variable 5: 96.0385379 % variable 6: 94.9682757 % variable 7: 98.8176466 % variable 8: 83.3069077 % variable 9: 98.5338462 % variable 10: 71.1834981 % variable 11: 51.0411203 % variable 12: 66.9606443 % variable 13: 78.3486824 % variable 14: 85.769736 % significance loss when removing single variables: variable 2: corr = 0.0715711423 % , sigma = 0.0386513188 variable 3: corr = 3.57921584 % , sigma = 1.93292168 variable 4: corr = 0.851707961 % , sigma = 0.459956833 variable 5: corr = 2.20767272 % , sigma = 1.19223278 variable 6: corr = 0.199381963 % , sigma = 0.107674344 variable 7: corr = 5.04290508 % , sigma = 2.72337321 variable 8: corr = 0.363683663 % , sigma = 0.196403924 variable 9: corr = 3.95505029 % , sigma = 2.13588752 variable 10: corr = 0.335508599 % , sigma = 0.181188247 variable 11: corr = 2.48420246 % , sigma = 1.34157005 variable 12: corr = 1.77266531 % , sigma = 0.957311142 variable 13: corr = 3.78093227 % , sigma = 2.04185673 variable 14: corr = 5.10695226 % , sigma = 2.75796129 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 7.2228651 sigma out 15 active outputs RANK 2 NODE 1 --> 5.94668341 sigma out 15 active outputs RANK 3 NODE 4 --> 5.87451077 sigma out 15 active outputs RANK 4 NODE 2 --> 5.72756338 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 5.67229462 sigma in 4act. ( 6.57060194 sig out 1act.) RANK 2 NODE 9 --> 5.22334814 sigma in 4act. ( 5.75906897 sig out 1act.) RANK 3 NODE 4 --> 4.2028389 sigma in 4act. ( 4.08418608 sig out 1act.) RANK 4 NODE 6 --> 4.13118315 sigma in 4act. ( 4.26082802 sig out 1act.) RANK 5 NODE 11 --> 3.50552058 sigma in 4act. ( 3.98676062 sig out 1act.) RANK 6 NODE 3 --> 3.4355619 sigma in 4act. ( 3.93845272 sig out 1act.) RANK 7 NODE 5 --> 3.18269205 sigma in 4act. ( 3.765203 sig out 1act.) RANK 8 NODE 15 --> 3.03450346 sigma in 4act. ( 3.30177045 sig out 1act.) RANK 9 NODE 12 --> 2.79494762 sigma in 4act. ( 3.07701373 sig out 1act.) RANK 10 NODE 7 --> 2.21889424 sigma in 4act. ( 2.49441075 sig out 1act.) RANK 11 NODE 2 --> 1.3661164 sigma in 4act. ( 1.26488745 sig out 1act.) RANK 12 NODE 10 --> 1.08594108 sigma in 4act. ( 0.88280201 sig out 1act.) RANK 13 NODE 14 --> 0.897045434 sigma in 4act. ( 0.709625006 sig out 1act.) RANK 14 NODE 13 --> 0.691753685 sigma in 4act. ( 0.210449353 sig out 1act.) RANK 15 NODE 1 --> 0.406658858 sigma in 4act. ( 0.172481671 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 6.57060194 sigma out 1act.( 5.67229462 sig in 4act.) RANK 2 NODE 9 --> 5.75906897 sigma out 1act.( 5.22334814 sig in 4act.) RANK 3 NODE 6 --> 4.26082802 sigma out 1act.( 4.13118315 sig in 4act.) RANK 4 NODE 4 --> 4.08418608 sigma out 1act.( 4.2028389 sig in 4act.) RANK 5 NODE 11 --> 3.98676062 sigma out 1act.( 3.50552058 sig in 4act.) RANK 6 NODE 3 --> 3.93845272 sigma out 1act.( 3.4355619 sig in 4act.) RANK 7 NODE 5 --> 3.765203 sigma out 1act.( 3.18269205 sig in 4act.) RANK 8 NODE 15 --> 3.30177045 sigma out 1act.( 3.03450346 sig in 4act.) RANK 9 NODE 12 --> 3.07701373 sigma out 1act.( 2.79494762 sig in 4act.) RANK 10 NODE 7 --> 2.49441075 sigma out 1act.( 2.21889424 sig in 4act.) RANK 11 NODE 2 --> 1.26488745 sigma out 1act.( 1.3661164 sig in 4act.) RANK 12 NODE 10 --> 0.88280201 sigma out 1act.( 1.08594108 sig in 4act.) RANK 13 NODE 14 --> 0.709625006 sigma out 1act.( 0.897045434 sig in 4act.) RANK 14 NODE 13 --> 0.210449353 sigma out 1act.( 0.691753685 sig in 4act.) RANK 15 NODE 1 --> 0.172481671 sigma out 1act.( 0.406658858 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.6493969 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 10.3404942 sigma out 15 active outputs RANK 2 NODE 1 --> 9.80995464 sigma out 15 active outputs RANK 3 NODE 3 --> 9.40913582 sigma out 15 active outputs RANK 4 NODE 2 --> 8.79268932 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 7.50936937 sigma in 4act. ( 5.06007624 sig out 1act.) RANK 2 NODE 8 --> 7.06558847 sigma in 4act. ( 6.79927444 sig out 1act.) RANK 3 NODE 3 --> 6.76365519 sigma in 4act. ( 4.95992899 sig out 1act.) RANK 4 NODE 6 --> 6.00819349 sigma in 4act. ( 4.55846739 sig out 1act.) RANK 5 NODE 9 --> 5.98695469 sigma in 4act. ( 7.00670719 sig out 1act.) RANK 6 NODE 5 --> 5.12488508 sigma in 4act. ( 5.18719578 sig out 1act.) RANK 7 NODE 12 --> 4.81538916 sigma in 4act. ( 4.50874853 sig out 1act.) RANK 8 NODE 10 --> 4.81362772 sigma in 4act. ( 2.19936013 sig out 1act.) RANK 9 NODE 1 --> 4.38321352 sigma in 4act. ( 1.59096014 sig out 1act.) RANK 10 NODE 11 --> 4.23406982 sigma in 4act. ( 4.28577185 sig out 1act.) RANK 11 NODE 7 --> 4.1906023 sigma in 4act. ( 3.13403821 sig out 1act.) RANK 12 NODE 15 --> 3.16304374 sigma in 4act. ( 3.65050817 sig out 1act.) RANK 13 NODE 2 --> 1.62198508 sigma in 4act. ( 0.751423061 sig out 1act.) RANK 14 NODE 13 --> 1.59848499 sigma in 4act. ( 0.272262573 sig out 1act.) RANK 15 NODE 14 --> 1.57692814 sigma in 4act. ( 0.349888235 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 7.00670719 sigma out 1act.( 5.98695469 sig in 4act.) RANK 2 NODE 8 --> 6.79927444 sigma out 1act.( 7.06558847 sig in 4act.) RANK 3 NODE 5 --> 5.18719578 sigma out 1act.( 5.12488508 sig in 4act.) RANK 4 NODE 4 --> 5.06007624 sigma out 1act.( 7.50936937 sig in 4act.) RANK 5 NODE 3 --> 4.95992899 sigma out 1act.( 6.76365519 sig in 4act.) RANK 6 NODE 6 --> 4.55846739 sigma out 1act.( 6.00819349 sig in 4act.) RANK 7 NODE 12 --> 4.50874853 sigma out 1act.( 4.81538916 sig in 4act.) RANK 8 NODE 11 --> 4.28577185 sigma out 1act.( 4.23406982 sig in 4act.) RANK 9 NODE 15 --> 3.65050817 sigma out 1act.( 3.16304374 sig in 4act.) RANK 10 NODE 7 --> 3.13403821 sigma out 1act.( 4.1906023 sig in 4act.) RANK 11 NODE 10 --> 2.19936013 sigma out 1act.( 4.81362772 sig in 4act.) RANK 12 NODE 1 --> 1.59096014 sigma out 1act.( 4.38321352 sig in 4act.) RANK 13 NODE 2 --> 0.751423061 sigma out 1act.( 1.62198508 sig in 4act.) RANK 14 NODE 14 --> 0.349888235 sigma out 1act.( 1.57692814 sig in 4act.) RANK 15 NODE 13 --> 0.272262573 sigma out 1act.( 1.59848499 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.2231483 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.468936771 *** contribution from regularisation: 0.0153719811 *** contribution from error: -0.484308749 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.503235459 *** contribution from regularisation: 0.00823042914 *** contribution from error: -0.511465907 *********************************************** -----------------> Test sample ENTER BFGS code START -4249.15782 0.322916627 -0.01235562 EXIT FROM BFGS code FG_START 0. 0.322916627 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.510504961 *** contribution from regularisation: 0.005671266 *** contribution from error: -0.516176224 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4309.68305 0.322916627 -4.12114668 EXIT FROM BFGS code FG_LNSRCH 0. 0.298255652 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.510553062 *** contribution from regularisation: 0.00980287604 *** contribution from error: -0.52035594 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4310.08888 0.298255652 -3.19099188 EXIT FROM BFGS code FG_LNSRCH 0. 0.310607344 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.516854405 *** contribution from regularisation: 0.00828028191 *** contribution from error: -0.525134683 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4363.28472 0.310607344 -1.88868272 EXIT FROM BFGS code NEW_X -4363.28472 0.310607344 -1.88868272 ENTER BFGS code NEW_X -4363.28472 0.310607344 -1.88868272 EXIT FROM BFGS code FG_LNSRCH 0. 0.305383533 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.517357349 *** contribution from regularisation: 0.00802352559 *** contribution from error: -0.52538085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4367.53055 0.305383533 -1.93272829 EXIT FROM BFGS code NEW_X -4367.53055 0.305383533 -1.93272829 ENTER BFGS code NEW_X -4367.53055 0.305383533 -1.93272829 EXIT FROM BFGS code FG_LNSRCH 0. 0.271561116 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.517920852 *** contribution from regularisation: 0.00722165871 *** contribution from error: -0.525142491 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4372.28779 0.271561116 -1.18878305 EXIT FROM BFGS code NEW_X -4372.28779 0.271561116 -1.18878305 ENTER BFGS code NEW_X -4372.28779 0.271561116 -1.18878305 EXIT FROM BFGS code FG_LNSRCH 0. 0.249841481 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.517889559 *** contribution from regularisation: 0.00727351103 *** contribution from error: -0.525163054 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4372.02378 0.249841481 -0.587071061 EXIT FROM BFGS code FG_LNSRCH 0. 0.266655475 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.516934633 *** contribution from regularisation: 0.00822795928 *** contribution from error: -0.525162578 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4363.96204 0.266655475 -0.970610082 EXIT FROM BFGS code FG_LNSRCH 0. 0.271375388 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 8.23863506 sigma out 15 active outputs RANK 2 NODE 4 --> 7.44895124 sigma out 15 active outputs RANK 3 NODE 2 --> 7.06699848 sigma out 15 active outputs RANK 4 NODE 3 --> 5.52641964 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 5.78284407 sigma in 4act. ( 4.74289656 sig out 1act.) RANK 2 NODE 4 --> 5.02111053 sigma in 4act. ( 3.07678199 sig out 1act.) RANK 3 NODE 10 --> 5.01713228 sigma in 4act. ( 3.62445569 sig out 1act.) RANK 4 NODE 6 --> 4.87864637 sigma in 4act. ( 3.83182263 sig out 1act.) RANK 5 NODE 8 --> 4.58906889 sigma in 4act. ( 4.22203398 sig out 1act.) RANK 6 NODE 12 --> 3.98398972 sigma in 4act. ( 3.23899412 sig out 1act.) RANK 7 NODE 1 --> 3.88790011 sigma in 4act. ( 2.69517708 sig out 1act.) RANK 8 NODE 5 --> 3.51606059 sigma in 4act. ( 2.91064668 sig out 1act.) RANK 9 NODE 7 --> 3.48893476 sigma in 4act. ( 2.82008457 sig out 1act.) RANK 10 NODE 9 --> 2.8861351 sigma in 4act. ( 2.67526841 sig out 1act.) RANK 11 NODE 11 --> 2.27173853 sigma in 4act. ( 1.47933936 sig out 1act.) RANK 12 NODE 15 --> 1.70903909 sigma in 4act. ( 1.6319325 sig out 1act.) RANK 13 NODE 14 --> 1.10412884 sigma in 4act. ( 0.723403811 sig out 1act.) RANK 14 NODE 13 --> 1.10272956 sigma in 4act. ( 0.536797106 sig out 1act.) RANK 15 NODE 2 --> 0.889260948 sigma in 4act. ( 0.306723267 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 4.74289656 sigma out 1act.( 5.78284407 sig in 4act.) RANK 2 NODE 8 --> 4.22203398 sigma out 1act.( 4.58906889 sig in 4act.) RANK 3 NODE 6 --> 3.83182263 sigma out 1act.( 4.87864637 sig in 4act.) RANK 4 NODE 10 --> 3.62445569 sigma out 1act.( 5.01713228 sig in 4act.) RANK 5 NODE 12 --> 3.23899412 sigma out 1act.( 3.98398972 sig in 4act.) RANK 6 NODE 4 --> 3.07678199 sigma out 1act.( 5.02111053 sig in 4act.) RANK 7 NODE 5 --> 2.91064668 sigma out 1act.( 3.51606059 sig in 4act.) RANK 8 NODE 7 --> 2.82008457 sigma out 1act.( 3.48893476 sig in 4act.) RANK 9 NODE 1 --> 2.69517708 sigma out 1act.( 3.88790011 sig in 4act.) RANK 10 NODE 9 --> 2.67526841 sigma out 1act.( 2.8861351 sig in 4act.) RANK 11 NODE 15 --> 1.6319325 sigma out 1act.( 1.70903909 sig in 4act.) RANK 12 NODE 11 --> 1.47933936 sigma out 1act.( 2.27173853 sig in 4act.) RANK 13 NODE 14 --> 0.723403811 sigma out 1act.( 1.10412884 sig in 4act.) RANK 14 NODE 13 --> 0.536797106 sigma out 1act.( 1.10272956 sig in 4act.) RANK 15 NODE 2 --> 0.306723267 sigma out 1act.( 0.889260948 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.1669521 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.517369628 *** contribution from regularisation: 0.00777346035 *** contribution from error: -0.525143087 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4367.63425 0.271375388 -1.15988457 EXIT FROM BFGS code FG_LNSRCH 0. 0.27156055 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.516909659 *** contribution from regularisation: 0.0082328571 *** contribution from error: -0.525142491 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4363.75133 0.27156055 -1.07496691 EXIT FROM BFGS code FG_LNSRCH 0. 0.271561116 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.517138183 *** contribution from regularisation: 0.00800431799 *** contribution from error: -0.525142491 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4365.68058 0.271561116 -1.12076485 EXIT FROM BFGS code FG_LNSRCH 0. 0.271561116 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.516988039 *** contribution from regularisation: 0.00815444347 *** contribution from error: -0.525142491 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4364.41322 0.271561116 -1.18178463 EXIT FROM BFGS code FG_LNSRCH 0. 0.271561116 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.51718384 *** contribution from regularisation: 0.00795864221 *** contribution from error: -0.525142491 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4366.06617 0.271561116 -0.970508754 EXIT FROM BFGS code NEW_X -4366.06617 0.271561116 -0.970508754 ENTER BFGS code NEW_X -4366.06617 0.271561116 -0.970508754 EXIT FROM BFGS code CONVERGENC -4366.06617 0.271561116 -0.970508754 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 11.4017839 sigma out 15 active outputs RANK 2 NODE 4 --> 10.217454 sigma out 15 active outputs RANK 3 NODE 2 --> 9.63546658 sigma out 15 active outputs RANK 4 NODE 3 --> 7.80134201 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 8.09165096 sigma in 4act. ( 7.40742731 sig out 1act.) RANK 2 NODE 10 --> 7.1441412 sigma in 4act. ( 5.43593836 sig out 1act.) RANK 3 NODE 6 --> 7.1077795 sigma in 4act. ( 5.65614748 sig out 1act.) RANK 4 NODE 8 --> 6.57873249 sigma in 4act. ( 6.31383944 sig out 1act.) RANK 5 NODE 4 --> 6.49960613 sigma in 4act. ( 4.66427565 sig out 1act.) RANK 6 NODE 12 --> 5.68737841 sigma in 4act. ( 4.64428186 sig out 1act.) RANK 7 NODE 1 --> 5.14057159 sigma in 4act. ( 4.11883879 sig out 1act.) RANK 8 NODE 5 --> 4.96050644 sigma in 4act. ( 4.23069096 sig out 1act.) RANK 9 NODE 7 --> 4.70414209 sigma in 4act. ( 4.09161854 sig out 1act.) RANK 10 NODE 9 --> 3.76757455 sigma in 4act. ( 3.95898604 sig out 1act.) RANK 11 NODE 11 --> 2.74715781 sigma in 4act. ( 2.09358454 sig out 1act.) RANK 12 NODE 15 --> 2.14494038 sigma in 4act. ( 2.20415902 sig out 1act.) RANK 13 NODE 14 --> 1.21794188 sigma in 4act. ( 0.910106182 sig out 1act.) RANK 14 NODE 13 --> 1.18273127 sigma in 4act. ( 0.683282197 sig out 1act.) RANK 15 NODE 2 --> 0.899826884 sigma in 4act. ( 0.382854998 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 7.40742731 sigma out 1act.( 8.09165096 sig in 4act.) RANK 2 NODE 8 --> 6.31383944 sigma out 1act.( 6.57873249 sig in 4act.) RANK 3 NODE 6 --> 5.65614748 sigma out 1act.( 7.1077795 sig in 4act.) RANK 4 NODE 10 --> 5.43593836 sigma out 1act.( 7.1441412 sig in 4act.) RANK 5 NODE 4 --> 4.66427565 sigma out 1act.( 6.49960613 sig in 4act.) RANK 6 NODE 12 --> 4.64428186 sigma out 1act.( 5.68737841 sig in 4act.) RANK 7 NODE 5 --> 4.23069096 sigma out 1act.( 4.96050644 sig in 4act.) RANK 8 NODE 1 --> 4.11883879 sigma out 1act.( 5.14057159 sig in 4act.) RANK 9 NODE 7 --> 4.09161854 sigma out 1act.( 4.70414209 sig in 4act.) RANK 10 NODE 9 --> 3.95898604 sigma out 1act.( 3.76757455 sig in 4act.) RANK 11 NODE 15 --> 2.20415902 sigma out 1act.( 2.14494038 sig in 4act.) RANK 12 NODE 11 --> 2.09358454 sigma out 1act.( 2.74715781 sig in 4act.) RANK 13 NODE 14 --> 0.910106182 sigma out 1act.( 1.21794188 sig in 4act.) RANK 14 NODE 13 --> 0.683282197 sigma out 1act.( 1.18273127 sig in 4act.) RANK 15 NODE 2 --> 0.382854998 sigma out 1act.( 0.899826884 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.6602058 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.51745379 *** contribution from regularisation: 0.00768868718 *** contribution from error: -0.525142491 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done