NNInput NNInputs_140.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= 11817 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 = 3050 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 3050 Chosen entries: 3050 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.347896 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 3050 Entries to split: 3050 Test with : 1525 Train with : 1525 ********************************************* * 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= 3050 for Signal Prepared event 0 for Signal with 3050 events ====Entry 0 Variable Ht : 120.493 Variable LepAPt : 23.3386 Variable LepBPt : 20.155 Variable MetSigLeptonsJets : 11.6754 Variable MetSpec : 76.9988 Variable SumEtLeptonsJets : 43.4936 Variable VSumJetLeptonsPt : 40.976 Variable addEt : 120.493 Variable dPhiLepSumMet : 3.10296 Variable dPhiLeptons : 0.685745 Variable dRLeptons : 0.747421 Variable lep1_E : 28.2676 Variable lep2_E : 21.3433 ===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 = 2140 Ht = 120.493 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 23.3389 LepAPt = 23.3386 LepBEt = 20.1554 LepBPt = 20.155 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 76.9988 MetDelPhi = 2.78621 MetSig = 6.26613 MetSigLeptonsJets = 11.6754 MetSpec = 76.9988 Mjj = 0 MostCentralJetEta = 0 MtllMet = 124.509 Njets = 0 SB = 0 SumEt = 150.997 SumEtJets = 0 SumEtLeptonsJets = 43.4936 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 40.976 addEt = 120.493 dPhiLepSumMet = 3.10296 dPhiLeptons = 0.685745 dRLeptons = 0.747421 diltype = 41 dimass = 15.9572 event = 81 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 28.2676 lep2_E = 21.3433 rand = 0.999742 run = 234317 weight = 2.18048e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 3.97044 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 296 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 11817 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 296 negative weights. Signal fraction: 67.1049271 % ------------------------------ 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 56.5035744 61.4250908 66.9536133 67.1979675 68.3505249 70.2056885 72.1255493 73.4309464 75.7608185 78.0957031 80.5845642 81.6778259 82.6911774 83.8541718 85.5744324 86.2084045 86.416069 88.1141663 88.5243378 89.2325592 89.2848206 91.0850296 91.1165543 91.6053772 91.9674072 92.0269165 92.0376663 93.0927582 93.4661255 94.7789917 95.2098083 95.2755585 95.7587585 97.2589569 97.2866974 98.1646805 99.3178329 100.226799 100.422562 101.406342 102.118431 102.213425 103.378616 104.472031 105.654083 106.26265 107.030762 108.045654 109.478943 110.179176 110.334419 110.81514 111.612167 112.526917 113.649963 114.793427 115.566971 116.26442 116.502182 117.44902 118.654968 119.641235 120.497612 121.443893 122.818619 123.796997 124.898834 125.229424 125.433464 126.886475 128.115326 129.511642 130.482742 132.064758 133.149811 134.803253 136.449432 138.301666 140.055817 141.97998 144.182434 147.189667 149.198914 151.508606 154.514267 156.27272 157.353516 159.885162 162.397125 166.032684 171.157928 178.849838 182.617371 188.559906 194.049942 203.527924 210.062637 223.381378 242.189636 264.01062 588.605469 ------------------------------ Transdef: Tab for variable 3 20.0047188 20.1113567 20.5416431 21.0897636 21.5525379 22.0084648 22.3624229 22.8639984 23.1927013 23.5370331 23.5897636 23.7384167 23.7650909 24.1144562 24.4191589 24.8253822 25.163372 25.5412121 25.8343716 26.1318493 26.1329651 26.3506031 26.4275227 26.5921593 26.5999813 26.8480225 26.9537201 26.9540672 27.2042065 27.4771137 27.637104 27.639101 27.8790817 28.1217842 28.1561661 28.2499847 28.4190807 28.5566101 28.6396904 28.8779297 29.1024895 29.129961 29.2130013 29.6293087 29.9158211 30.191515 30.544529 30.6201649 30.7885437 31.0785923 31.0899353 31.2927628 31.4201107 31.5767822 31.8201714 31.9155655 31.9685249 32.0551605 32.118763 32.3240356 32.6444016 32.935997 33.1809769 33.2388763 33.4596558 33.8350296 34.1764946 34.1801262 34.4198837 34.4600182 34.8381042 35.2394066 35.5967941 36.0141907 36.3552399 36.6966934 37.0486679 37.413765 37.5608978 37.7426758 38.0926132 38.0939598 38.5022392 38.9831848 39.6376724 40.1092949 40.5816345 41.2510185 41.8496971 42.7234802 43.3110809 44.3915787 45.2306404 45.9418678 46.4939575 47.6521072 49.3126907 51.0146027 55.8989944 65.2657928 89.6777725 ------------------------------ Transdef: Tab for variable 4 10.0008354 10.0235033 10.177763 10.1801596 10.3550529 10.6048126 10.727581 10.8243046 11.1173687 11.2341442 11.2996912 11.3826847 11.3841448 11.6344852 11.6347179 11.6865578 11.7535744 11.7671003 12.0320187 12.187706 12.2056484 12.4784222 12.6749039 12.9646244 13.2524815 13.3987865 13.4767036 13.4957876 13.6348381 13.8395405 13.9562559 13.9939213 14.1039543 14.3155413 14.3770685 14.4807377 14.6846027 14.9814377 15.3013439 15.3602514 15.3661976 15.4487724 15.450325 15.655612 15.856843 15.926836 16.1587677 16.4370365 16.4379253 16.5880604 16.7189293 16.9675236 17.1706047 17.4708748 17.6906948 18.1906586 18.4220428 18.495472 18.7361794 18.9951134 19.3669624 19.6342354 20.043829 20.3061295 20.4093208 20.4105682 20.5603867 20.7769985 20.9715157 21.152504 21.5194206 21.6869526 21.9310837 21.9379082 22.2271919 22.4587421 22.631546 22.8736038 23.1899452 23.4847832 23.7265472 23.8793831 24.0792294 24.4691505 24.740757 24.9888535 25.2646313 25.5756168 25.921133 26.1962929 26.2648621 26.6775665 27.0159531 27.3627357 27.8354759 28.2344398 29.1193104 30.1279202 31.0385151 32.7551498 37.9629707 ------------------------------ Transdef: Tab for variable 5 2.08872652 3.15849161 3.25259066 3.3016367 3.37834215 3.72628379 3.7880106 3.98864532 4.22847462 4.44603443 4.57586384 4.59323215 4.62917376 4.6513052 4.65159082 4.75897598 4.75979328 4.78975677 4.8549509 4.95582294 5.07796049 5.13955307 5.16718531 5.26896191 5.37526989 5.48172235 5.57064342 5.68568087 5.70110893 5.73635578 5.80529213 5.87621784 5.96823502 6.01388073 6.03538895 6.09229279 6.15565395 6.20662975 6.24566031 6.25622654 6.29039192 6.3539114 6.4250803 6.48158503 6.48846674 6.50988245 6.5223341 6.57726669 6.64809084 6.68988705 6.74336243 6.79062414 6.84790707 6.89600039 6.94513702 6.96656656 6.96736813 6.99726772 7.07145214 7.13591766 7.18473244 7.23121119 7.24654961 7.25819302 7.27744675 7.29641294 7.31134129 7.33120298 7.38506317 7.42688751 7.4342103 7.4914546 7.5543623 7.60098314 7.6188097 7.65962791 7.7031579 7.75231123 7.80483341 7.85877085 7.92508602 7.98360729 8.05473328 8.12203026 8.19721508 8.24482155 8.33476257 8.41678047 8.47887897 8.53815079 8.61584282 8.72549725 8.73390579 8.84617901 8.9831295 9.09981918 9.35103893 9.67144585 10.0443306 10.4881516 15.1310549 ------------------------------ Transdef: Tab for variable 6 25.0022697 26.4363365 27.0051575 27.205719 27.2840786 27.9405594 29.4311829 29.435648 30.9439774 31.2894974 31.9332848 32.6990204 32.96418 33.5786591 33.5818596 34.5666199 34.8487968 35.4713974 36.2615433 36.4955673 36.8347473 37.5015106 37.9408798 38.7654648 39.3138046 39.5144043 39.9436722 40.5505447 41.1527901 41.9720383 42.6417465 43.1325874 43.7539902 43.7578735 44.4880829 44.7604942 44.9637222 45.5807571 45.9255409 46.1195908 46.5219002 46.7242279 46.8164062 47.365036 47.5443878 47.7642174 48.1207428 48.2006607 48.6132317 49.0286407 49.2178802 49.4908981 49.9207687 50.0009689 50.4436607 50.9733849 51.4484024 52.0932159 52.7613831 53.235611 53.2534866 53.8594055 54.2130661 54.5055351 55.0641861 55.5815201 56.1268997 56.5534973 56.97332 57.2427368 57.7403526 58.4421997 59.0056839 59.6751251 60.0985336 60.8613815 61.5834122 62.0295753 62.7433319 63.2579575 63.728508 64.4094696 65.275032 65.8813934 66.5822449 67.5718536 68.5878906 69.8154373 70.9540863 72.3983536 73.815773 75.9027557 77.3139038 77.5240479 79.6974792 82.7291031 85.77742 89.1953278 94.684021 103.767235 193.358276 ------------------------------ Transdef: Tab for variable 7 30.2543869 34.2101631 34.215313 35.4615936 35.9282455 36.8731079 37.0685501 37.766758 38.1691589 39.1508713 40.4002037 40.9812202 41.1472702 41.7624207 42.5144577 43.0842018 43.1629753 43.4916306 43.495945 44.1286011 44.593544 44.7428284 45.1500931 45.1501236 45.4687233 45.4808159 45.9885178 45.9975243 46.6595764 47.2710571 47.3275566 48.0833893 49.1338081 49.7537193 50.3013611 50.987999 51.7423096 52.6259613 52.6262627 53.0271301 53.0295563 53.7644653 54.3676414 54.9864349 55.7432556 55.9589996 56.20784 56.9790649 57.4644547 57.9079208 58.3880577 58.7933884 58.8401184 59.7246895 60.329422 61.3029099 61.3180313 61.7380066 62.4127693 63.0452271 64.1049194 64.6424866 64.8877716 65.6004028 66.4515991 67.4678497 68.7244568 70.0413666 71.4527969 72.1472168 72.1561203 73.0156555 74.5826569 76.1178284 77.9418335 78.7876892 79.4674835 80.5115356 81.9674606 81.9687119 83.914978 86.0063934 88.3735199 90.5103302 92.5781403 93.7369843 94.2626343 96.685936 99.0170593 101.859329 105.901657 109.286438 113.509712 117.878983 123.056381 128.149155 134.652557 145.576874 159.216095 173.90799 328.506683 ------------------------------ Transdef: Tab for variable 8 8.55078316 27.1111755 28.286808 30.1454544 30.180212 32.0811462 32.9842758 32.9905777 33.2058029 33.8979568 34.0553284 34.0637131 34.9545135 35.223774 35.6862259 36.5231705 36.609726 36.8707581 37.1786118 37.9463043 38.5675049 39.531662 40.2375717 40.4268684 40.6561508 41.2377892 41.7627831 41.8178024 42.0933113 42.3715897 42.6479568 42.9294777 43.1811829 43.5257187 43.6854401 43.7286224 43.9260025 44.2798424 44.2808075 44.2895393 44.9424362 45.2164345 45.2406845 45.2731705 45.7320023 46.1146774 46.9176865 47.4536362 48.157959 48.5518646 49.190937 49.5589905 49.9388962 50.4396935 51.0379105 51.0397263 51.3223724 51.8642197 52.2111626 52.6477013 53.016243 53.137001 53.5723267 53.8906059 54.0866127 54.4802628 54.9256363 55.4779778 55.9834175 56.4087067 56.9036713 57.3223724 57.8464775 58.3751144 59.0599823 59.6506119 60.1888161 60.9496384 61.3908463 62.0324287 62.4696236 63.0822296 63.8497467 64.5623474 65.1911011 66.0821915 67.0835114 68.3534546 69.7217636 71.1670609 73.0737915 75.2375488 77.4468536 78.6037903 79.3710175 82.1251602 84.7530365 88.5451126 94.3444672 105.48838 255.669601 ------------------------------ Transdef: Tab for variable 9 56.5035744 61.405098 66.7100983 67.1979675 68.3505249 69.4595032 70.9159317 73.4202423 73.4309464 75.4260101 77.0189514 77.0288315 78.8943329 78.901474 79.7740021 80.0951996 81.22686 82.2668228 82.6911774 83.9542236 84.7591553 84.7830353 85.8836365 86.2072754 86.8243713 87.9015579 88.5266266 88.8397522 89.2325592 89.3282852 89.9878693 89.9953384 90.8935394 91.1009521 91.614418 91.6173019 91.9636688 92.0306244 92.3365479 93.0927582 93.2397461 94.1218262 95.0562592 95.2098083 95.9645157 96.8595276 97.7340546 98.4513397 99.2130356 100.091278 100.977158 101.703796 102.118431 102.167969 103.018417 103.634537 104.406555 105.189674 106.063858 106.26265 107.036308 107.681412 108.692673 109.321335 110.159477 110.179176 111.146111 111.857315 112.425598 113.435776 113.992683 115.020119 115.645706 116.691635 117.436996 118.483383 119.295685 120.025925 120.773438 121.575958 122.940262 123.647919 124.69722 125.699173 126.470924 127.590309 128.695419 129.774246 131.430786 132.418121 133.812775 135.188171 136.533524 138.391937 140.520584 143.150604 146.761322 152.319214 156.264008 161.111206 299.288055 ------------------------------ Transdef: Tab for variable 10 0.437822878 1.12161279 1.34609711 1.51715422 1.67909956 1.76160061 1.88703227 1.96298218 2.06075621 2.16529131 2.20038366 2.25267267 2.30689907 2.32630539 2.33564186 2.38764644 2.43479919 2.44320035 2.47497845 2.47945428 2.5041914 2.53122997 2.57095814 2.61049795 2.61236 2.61834526 2.63466501 2.66676474 2.69766998 2.72144938 2.74376464 2.7629137 2.78895998 2.80963326 2.82729602 2.83853054 2.85122776 2.86361694 2.86361694 2.8717196 2.87831736 2.89113259 2.90460157 2.91869617 2.93046069 2.9392395 2.94972491 2.95055008 2.95955825 2.96578789 2.97396064 2.97879696 2.98398209 2.98791265 2.99623108 3.00305128 3.0106473 3.01457548 3.01640463 3.02347517 3.02820635 3.02825332 3.03305936 3.03556585 3.04061627 3.04209566 3.04529834 3.05106592 3.05390787 3.05390859 3.05809069 3.06285381 3.06308746 3.06648636 3.0666647 3.0714891 3.07612419 3.07966828 3.08335042 3.08465242 3.09049058 3.09584093 3.09660649 3.09676695 3.09810495 3.10438681 3.10835648 3.10973692 3.11166859 3.11495328 3.11859727 3.11964345 3.12214994 3.12456846 3.1249361 3.13050032 3.13283753 3.13338184 3.13384604 3.13825178 3.14159226 ------------------------------ Transdef: Tab for variable 11 0.000272750854 0.0150602162 0.0294550657 0.0370893478 0.0423654318 0.0580075979 0.0696433783 0.0804068297 0.0880150497 0.0975570679 0.0981023312 0.112655044 0.121323943 0.13359189 0.146598876 0.154163361 0.154493451 0.164279997 0.172001362 0.172772139 0.179631233 0.189914823 0.198638082 0.207512021 0.213410378 0.218954295 0.229800165 0.242456675 0.247909427 0.258156657 0.267050326 0.268706053 0.271202266 0.27890873 0.281890213 0.290728927 0.300286055 0.3091636 0.31656003 0.325601697 0.3322227 0.3409338 0.345159173 0.348752499 0.351641655 0.35461235 0.362449825 0.370371342 0.374052048 0.382948279 0.388168931 0.392017603 0.397343338 0.403015792 0.408460826 0.413016319 0.417263985 0.42424345 0.431773305 0.435921669 0.439598739 0.446336895 0.451721311 0.456284821 0.460065484 0.460270345 0.46605742 0.472227335 0.476301342 0.487401545 0.492255479 0.492345631 0.498631597 0.506124735 0.518904626 0.523597717 0.525359273 0.530208528 0.534058213 0.53441453 0.544872284 0.545382261 0.553158283 0.56317699 0.574196577 0.579622626 0.586864889 0.600232363 0.614929676 0.631395161 0.633371949 0.64888072 0.667718887 0.686111569 0.711702824 0.718458772 0.735904574 0.802852988 0.802864075 0.863429487 1.05367887 ------------------------------ Transdef: Tab for variable 12 0.234809503 0.245130986 0.261999637 0.26854682 0.285422295 0.304512054 0.347894639 0.360201359 0.370522827 0.403101236 0.407876164 0.411969304 0.416097343 0.42032665 0.424432397 0.427832246 0.430038035 0.431061208 0.434310496 0.436543882 0.438835084 0.441650838 0.4442361 0.44710207 0.450261593 0.452847689 0.456170291 0.459216297 0.462735057 0.466278076 0.470347494 0.471767545 0.473124146 0.476763248 0.480571061 0.484388769 0.48767823 0.491890728 0.495430291 0.497708678 0.501728654 0.505384326 0.50888133 0.513919413 0.518091679 0.518473566 0.523646235 0.52367115 0.525223017 0.528333783 0.533535957 0.538015604 0.542856216 0.546880841 0.550152898 0.553210735 0.558173716 0.559661508 0.562677622 0.568188548 0.568217695 0.570669949 0.576470613 0.577257037 0.58047986 0.581218004 0.585944831 0.590961695 0.595417142 0.600226641 0.607079625 0.613674164 0.620240092 0.622955799 0.632038832 0.639123201 0.647731066 0.652868927 0.660218835 0.670666099 0.675218225 0.676739216 0.685469866 0.688031495 0.692997217 0.695319533 0.698481858 0.707652211 0.716436148 0.725200176 0.731352687 0.743104279 0.748865128 0.75790596 0.773407817 0.801816881 0.833723307 0.86005801 0.894997716 0.918868065 1.11978066 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.72118 22.6685333 23.3410091 23.7518234 23.9537239 24.4333 24.4355125 24.9117393 24.9560108 25.3055019 25.8015594 26.3298569 26.7788353 27.0189629 27.1318436 27.5423698 28.039299 28.3337593 28.5789185 28.6451054 28.758091 28.9804955 29.2546196 29.4228134 29.5386276 29.7968845 29.933466 30.2942619 30.668045 30.9766579 31.5205345 31.7770557 32.0551186 32.1069412 32.3532944 32.463501 32.7376137 33.1194992 33.6102524 33.6113358 33.7936554 33.9053192 34.2794037 34.4445992 34.5442009 34.6051025 34.7278175 34.8475723 35.2837677 35.38694 35.6668167 36.0798492 36.3302193 36.3308258 36.6929131 36.9705658 37.2537689 37.2704849 37.5711784 37.9590492 38.1270981 38.2893791 38.5541992 38.6051636 38.9431496 39.3343735 39.8143349 40.23423 40.7892838 41.323349 41.976944 42.4101868 42.6280365 43.0510788 43.5451927 43.5536613 44.2927628 44.8257065 45.3700943 45.8304977 46.3719635 47.0127754 47.714489 48.8610764 49.789299 50.7599945 51.866291 53.2654381 54.4960938 55.2203217 55.4131966 55.4284058 56.4490585 58.4918518 59.8047638 62.0308304 64.9643631 69.4183655 70.2438278 127.833633 ------------------------------ Transdef: Tab for variable 14 10.0789509 10.2601261 10.5413122 11.2472019 11.313796 11.3961935 11.4534321 11.7258568 11.8928394 12.2190647 12.2205935 12.5920296 12.6838741 12.8211975 12.9895897 13.2029133 13.4212608 13.4785004 13.5392609 13.9835777 14.4148407 14.5085974 14.6491489 14.9900866 15.4040356 15.5820808 15.6409445 16.0050774 16.2694588 16.3379059 16.5108261 16.5989437 16.7946301 16.955349 17.1598625 17.1861038 17.6644173 18.0179844 18.3145981 18.5855141 18.9495144 19.3534546 19.8063526 20.0988922 20.3805695 20.5890465 20.7580643 20.9253807 21.136343 21.3209572 21.3212395 21.6076698 21.9334106 21.9784336 22.2579365 22.5745087 22.9122734 23.1484985 23.4383373 23.6716156 23.7055397 23.9556122 24.2421703 24.5787563 24.81567 25.1871204 25.3782959 25.6096401 25.7901936 25.8789577 26.1655655 26.5096073 26.8583317 27.1754303 27.5240479 28.0041389 28.4894409 28.8412018 29.1479969 29.5893745 29.9786263 30.2758102 30.4066467 30.850111 31.2106056 31.7868347 32.3309021 32.9268417 33.484848 33.9888992 34.5916176 35.5933113 36.0747032 36.2635193 37.6190033 39.1827164 40.5504303 44.2678528 47.7555618 47.7591629 71.9825439 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 42.9 8.6 31.8 18.9 34.5 36.1 39.3 39.4 -23.9 -15.5 3.8 7.5 26.3 2 42.9 100.0 49.1 35.7 27.7 66.1 93.2 66.4 85.7 -51.3 -23.5 -21.9 44.0 31.2 3 8.6 49.1 100.0 4.0 -0.3 21.9 51.7 36.1 56.5 -9.3 -21.1 -28.7 85.5 3.5 4 31.8 35.7 4.0 100.0 8.9 24.5 34.2 32.9 43.4 -6.7 -24.6 -38.0 10.4 82.3 5 18.9 27.7 -0.3 8.9 100.0 83.8 -5.5 54.1 61.0 25.5 0.5 10.7 -4.0 4.4 6 34.5 66.1 21.9 24.5 83.8 100.0 39.7 78.5 84.6 -5.4 -8.8 -0.7 16.3 17.9 7 36.1 93.2 51.7 34.2 -5.5 39.7 100.0 53.4 68.0 -61.8 -25.4 -27.0 48.1 31.1 8 39.3 66.4 36.1 32.9 54.1 78.5 53.4 100.0 80.9 -8.8 -14.1 -12.5 30.7 24.2 9 39.4 85.7 56.5 43.4 61.0 84.6 68.0 80.9 100.0 -17.8 -21.2 -21.5 49.4 35.4 10 -23.9 -51.3 -9.3 -6.7 25.5 -5.4 -61.8 -8.8 -17.8 100.0 19.1 13.7 -10.0 -10.9 11 -15.5 -23.5 -21.1 -24.6 0.5 -8.8 -25.4 -14.1 -21.2 19.1 100.0 53.3 -17.9 -25.4 12 3.8 -21.9 -28.7 -38.0 10.7 -0.7 -27.0 -12.5 -21.5 13.7 53.3 100.0 -26.0 -29.2 13 7.5 44.0 85.5 10.4 -4.0 16.3 48.1 30.7 49.4 -10.0 -17.9 -26.0 100.0 25.7 14 26.3 31.2 3.5 82.3 4.4 17.9 31.1 24.2 35.4 -10.9 -25.4 -29.2 25.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 102.19908 TOTAL CORRELATION OF ALL VARIABLES 57.7066165 ROUND 1: MAX CORR ( 57.7045234) AFTER KILLING INPUT VARIABLE 13 CONTR 0.491494827 ROUND 2: MAX CORR ( 57.6820152) AFTER KILLING INPUT VARIABLE 5 CONTR 1.61156419 ROUND 3: MAX CORR ( 57.6336214) AFTER KILLING INPUT VARIABLE 14 CONTR 2.36232236 ROUND 4: MAX CORR ( 57.4187882) AFTER KILLING INPUT VARIABLE 3 CONTR 4.97162641 ROUND 5: MAX CORR ( 56.7810671) AFTER KILLING INPUT VARIABLE 9 CONTR 8.53391229 ROUND 6: MAX CORR ( 55.397928) AFTER KILLING INPUT VARIABLE 6 CONTR 12.4562896 ROUND 7: MAX CORR ( 54.6923967) AFTER KILLING INPUT VARIABLE 7 CONTR 8.81318157 ROUND 8: MAX CORR ( 53.896748) AFTER KILLING INPUT VARIABLE 2 CONTR 9.29509668 ROUND 9: MAX CORR ( 52.1706171) AFTER KILLING INPUT VARIABLE 11 CONTR 13.5309331 ROUND 10: MAX CORR ( 48.3107998) AFTER KILLING INPUT VARIABLE 12 CONTR 19.6936517 ROUND 11: MAX CORR ( 44.3103307) AFTER KILLING INPUT VARIABLE 4 CONTR 19.2491031 ROUND 12: MAX CORR ( 39.2561264) AFTER KILLING INPUT VARIABLE 10 CONTR 20.5514462 LAST REMAINING VARIABLE: 8 total correlation to target: 57.7066165 % total significance: 27.4553702 sigma correlations of single variables to target: variable 2: 42.8579307 % , in sigma: 20.3907355 variable 3: 8.61933907 % , in sigma: 4.10086675 variable 4: 31.8460311 % , in sigma: 15.1515481 variable 5: 18.8614233 % , in sigma: 8.9737952 variable 6: 34.5177753 % , in sigma: 16.4226974 variable 7: 36.0930736 % , in sigma: 17.1721851 variable 8: 39.2561264 % , in sigma: 18.6770868 variable 9: 39.4125266 % , in sigma: 18.7514981 variable 10: -23.9359983 % , in sigma: 11.3881516 variable 11: -15.4636104 % , in sigma: 7.35720051 variable 12: 3.75002322 % , in sigma: 1.78416761 variable 13: 7.48152238 % , in sigma: 3.55952192 variable 14: 26.3242314 % , in sigma: 12.5244134 variables sorted by significance: 1 most relevant variable 8 corr 39.2561264 , in sigma: 18.6770868 2 most relevant variable 10 corr 20.5514469 , in sigma: 9.77786634 3 most relevant variable 4 corr 19.2491035 , in sigma: 9.15824382 4 most relevant variable 12 corr 19.6936512 , in sigma: 9.36974852 5 most relevant variable 11 corr 13.5309334 , in sigma: 6.43768094 6 most relevant variable 2 corr 9.2950964 , in sigma: 4.42237525 7 most relevant variable 7 corr 8.81318188 , in sigma: 4.19309233 8 most relevant variable 6 corr 12.4562893 , in sigma: 5.92639206 9 most relevant variable 9 corr 8.53391266 , in sigma: 4.060223 10 most relevant variable 3 corr 4.97162628 , in sigma: 2.3653759 11 most relevant variable 14 corr 2.36232233 , in sigma: 1.1239341 12 most relevant variable 5 corr 1.61156416 , in sigma: 0.76674207 13 most relevant variable 13 corr 0.491494834 , in sigma: 0.233840995 global correlations between input variables: variable 2: 99.1721244 % variable 3: 94.8027092 % variable 4: 91.6562181 % variable 5: 97.2135079 % variable 6: 96.2011253 % variable 7: 98.9093662 % variable 8: 88.209816 % variable 9: 98.9764361 % variable 10: 74.8112557 % variable 11: 57.9717252 % variable 12: 64.2787518 % variable 13: 91.1847407 % variable 14: 89.2445721 % significance loss when removing single variables: variable 2: corr = 19.241152 % , sigma = 9.15446066 variable 3: corr = 2.89189437 % , sigma = 1.37589128 variable 4: corr = 14.3899447 % , sigma = 6.8463771 variable 5: corr = 1.6056791 % , sigma = 0.763942107 variable 6: corr = 6.09840505 % , sigma = 2.90146916 variable 7: corr = 15.8200641 % , sigma = 7.52679232 variable 8: corr = 19.0379842 % , sigma = 9.05779849 variable 9: corr = 6.33415923 % , sigma = 3.01363513 variable 10: corr = 10.229624 % , sigma = 4.8670002 variable 11: corr = 13.0719447 % , sigma = 6.21930558 variable 12: corr = 22.4196057 % , sigma = 10.6666897 variable 13: corr = 0.491494827 % , sigma = 0.233840992 variable 14: corr = 1.61626154 % , sigma = 0.768976965 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 6.83943701 sigma out 15 active outputs RANK 2 NODE 10 --> 6.0952673 sigma out 15 active outputs RANK 3 NODE 4 --> 5.20026398 sigma out 15 active outputs RANK 4 NODE 9 --> 5.12417984 sigma out 15 active outputs RANK 5 NODE 6 --> 4.66659594 sigma out 15 active outputs RANK 6 NODE 2 --> 4.59885836 sigma out 15 active outputs RANK 7 NODE 1 --> 4.47856998 sigma out 15 active outputs RANK 8 NODE 7 --> 3.91680765 sigma out 15 active outputs RANK 9 NODE 5 --> 3.36707878 sigma out 15 active outputs RANK 10 NODE 3 --> 2.76910996 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 7.377666 sigma in 10act. ( 8.66066551 sig out 1act.) RANK 2 NODE 5 --> 6.29838276 sigma in 10act. ( 6.43354416 sig out 1act.) RANK 3 NODE 6 --> 5.90398169 sigma in 10act. ( 6.92500496 sig out 1act.) RANK 4 NODE 4 --> 5.34852314 sigma in 10act. ( 5.52053022 sig out 1act.) RANK 5 NODE 9 --> 3.78017449 sigma in 10act. ( 3.70550179 sig out 1act.) RANK 6 NODE 3 --> 3.63706994 sigma in 10act. ( 3.37933731 sig out 1act.) RANK 7 NODE 15 --> 3.53497434 sigma in 10act. ( 3.7477479 sig out 1act.) RANK 8 NODE 10 --> 3.13339591 sigma in 10act. ( 3.37088585 sig out 1act.) RANK 9 NODE 12 --> 2.72147202 sigma in 10act. ( 3.00446367 sig out 1act.) RANK 10 NODE 13 --> 2.53494382 sigma in 10act. ( 2.69700623 sig out 1act.) RANK 11 NODE 1 --> 1.80743873 sigma in 10act. ( 1.81831253 sig out 1act.) RANK 12 NODE 8 --> 1.79753697 sigma in 10act. ( 1.69116092 sig out 1act.) RANK 13 NODE 11 --> 1.67488301 sigma in 10act. ( 1.11933088 sig out 1act.) RANK 14 NODE 14 --> 1.56419456 sigma in 10act. ( 1.09021151 sig out 1act.) RANK 15 NODE 7 --> 1.25824571 sigma in 10act. ( 1.23157966 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 8.66066551 sigma out 1act.( 7.377666 sig in 10act.) RANK 2 NODE 6 --> 6.92500496 sigma out 1act.( 5.90398169 sig in 10act.) RANK 3 NODE 5 --> 6.43354416 sigma out 1act.( 6.29838276 sig in 10act.) RANK 4 NODE 4 --> 5.52053022 sigma out 1act.( 5.34852314 sig in 10act.) RANK 5 NODE 15 --> 3.7477479 sigma out 1act.( 3.53497434 sig in 10act.) RANK 6 NODE 9 --> 3.70550179 sigma out 1act.( 3.78017449 sig in 10act.) RANK 7 NODE 3 --> 3.37933731 sigma out 1act.( 3.63706994 sig in 10act.) RANK 8 NODE 10 --> 3.37088585 sigma out 1act.( 3.13339591 sig in 10act.) RANK 9 NODE 12 --> 3.00446367 sigma out 1act.( 2.72147202 sig in 10act.) RANK 10 NODE 13 --> 2.69700623 sigma out 1act.( 2.53494382 sig in 10act.) RANK 11 NODE 1 --> 1.81831253 sigma out 1act.( 1.80743873 sig in 10act.) RANK 12 NODE 8 --> 1.69116092 sigma out 1act.( 1.79753697 sig in 10act.) RANK 13 NODE 7 --> 1.23157966 sigma out 1act.( 1.25824571 sig in 10act.) RANK 14 NODE 11 --> 1.11933088 sigma out 1act.( 1.67488301 sig in 10act.) RANK 15 NODE 14 --> 1.09021151 sigma out 1act.( 1.56419456 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.4867802 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 16.5793858 sigma out 15 active outputs RANK 2 NODE 7 --> 12.3742819 sigma out 15 active outputs RANK 3 NODE 1 --> 8.07163334 sigma out 15 active outputs RANK 4 NODE 4 --> 7.82777977 sigma out 15 active outputs RANK 5 NODE 2 --> 7.73106146 sigma out 15 active outputs RANK 6 NODE 6 --> 7.3726058 sigma out 15 active outputs RANK 7 NODE 10 --> 6.41423273 sigma out 15 active outputs RANK 8 NODE 3 --> 6.14853048 sigma out 15 active outputs RANK 9 NODE 9 --> 4.35621834 sigma out 15 active outputs RANK 10 NODE 5 --> 3.98917127 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 9.9554348 sigma in 10act. ( 8.5937109 sig out 1act.) RANK 2 NODE 12 --> 9.52695274 sigma in 10act. ( 4.11334419 sig out 1act.) RANK 3 NODE 6 --> 9.40848351 sigma in 10act. ( 7.08256054 sig out 1act.) RANK 4 NODE 13 --> 8.88383198 sigma in 10act. ( 5.1509223 sig out 1act.) RANK 5 NODE 1 --> 8.42220211 sigma in 10act. ( 2.18347192 sig out 1act.) RANK 6 NODE 5 --> 8.21888638 sigma in 10act. ( 5.72631502 sig out 1act.) RANK 7 NODE 8 --> 7.46121073 sigma in 10act. ( 1.95996046 sig out 1act.) RANK 8 NODE 4 --> 7.0355649 sigma in 10act. ( 5.60052586 sig out 1act.) RANK 9 NODE 15 --> 6.19590521 sigma in 10act. ( 3.17308068 sig out 1act.) RANK 10 NODE 14 --> 5.72213316 sigma in 10act. ( 0.866802752 sig out 1act.) RANK 11 NODE 10 --> 5.53574896 sigma in 10act. ( 2.77977252 sig out 1act.) RANK 12 NODE 7 --> 5.14476061 sigma in 10act. ( 0.797577679 sig out 1act.) RANK 13 NODE 9 --> 4.6591711 sigma in 10act. ( 2.07603216 sig out 1act.) RANK 14 NODE 11 --> 4.18631458 sigma in 10act. ( 0.440777421 sig out 1act.) RANK 15 NODE 3 --> 3.73357892 sigma in 10act. ( 1.64895833 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 8.5937109 sigma out 1act.( 9.9554348 sig in 10act.) RANK 2 NODE 6 --> 7.08256054 sigma out 1act.( 9.40848351 sig in 10act.) RANK 3 NODE 5 --> 5.72631502 sigma out 1act.( 8.21888638 sig in 10act.) RANK 4 NODE 4 --> 5.60052586 sigma out 1act.( 7.0355649 sig in 10act.) RANK 5 NODE 13 --> 5.1509223 sigma out 1act.( 8.88383198 sig in 10act.) RANK 6 NODE 12 --> 4.11334419 sigma out 1act.( 9.52695274 sig in 10act.) RANK 7 NODE 15 --> 3.17308068 sigma out 1act.( 6.19590521 sig in 10act.) RANK 8 NODE 10 --> 2.77977252 sigma out 1act.( 5.53574896 sig in 10act.) RANK 9 NODE 1 --> 2.18347192 sigma out 1act.( 8.42220211 sig in 10act.) RANK 10 NODE 9 --> 2.07603216 sigma out 1act.( 4.6591711 sig in 10act.) RANK 11 NODE 8 --> 1.95996046 sigma out 1act.( 7.46121073 sig in 10act.) RANK 12 NODE 3 --> 1.64895833 sigma out 1act.( 3.73357892 sig in 10act.) RANK 13 NODE 14 --> 0.866802752 sigma out 1act.( 5.72213316 sig in 10act.) RANK 14 NODE 7 --> 0.797577679 sigma out 1act.( 5.14476061 sig in 10act.) RANK 15 NODE 11 --> 0.440777421 sigma out 1act.( 4.18631458 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.3290539 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.4074049 *** contribution from regularisation: 0.0484385975 *** contribution from error: -0.455843508 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.485544473 *** contribution from regularisation: 0.0175043084 *** contribution from error: -0.503048778 *********************************************** -----------------> Test sample ENTER BFGS code START -2869.18752 -0.180679753 -0.806464493 EXIT FROM BFGS code FG_START 0. -0.180679753 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.503400683 *** contribution from regularisation: 0.0126595572 *** contribution from error: -0.516060233 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -2974.09128 -0.180679753 -24.9961262 EXIT FROM BFGS code FG_LNSRCH 0. -0.415155172 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.512867332 *** contribution from regularisation: 0.0169340093 *** contribution from error: -0.529801369 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3030.02016 -0.415155172 7.02369404 EXIT FROM BFGS code NEW_X -3030.02016 -0.415155172 7.02369404 ENTER BFGS code NEW_X -3030.02016 -0.415155172 7.02369404 EXIT FROM BFGS code FG_LNSRCH 0. -0.398374259 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.514523506 *** contribution from regularisation: 0.0171376485 *** contribution from error: -0.531661153 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3039.80492 -0.398374259 0.369187087 EXIT FROM BFGS code NEW_X -3039.80492 -0.398374259 0.369187087 ENTER BFGS code NEW_X -3039.80492 -0.398374259 0.369187087 EXIT FROM BFGS code FG_LNSRCH 0. -0.425970942 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.514106393 *** contribution from regularisation: 0.0169446897 *** contribution from error: -0.531051099 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3037.34052 -0.425970942 3.35606718 EXIT FROM BFGS code FG_LNSRCH 0. -0.405062407 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.509357274 *** contribution from regularisation: 0.022502603 *** contribution from error: -0.531859875 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3009.28265 -0.405062407 0.529176533 EXIT FROM BFGS code FG_LNSRCH 0. -0.398562551 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.51270628 *** contribution from regularisation: 0.0189631488 *** contribution from error: -0.531669438 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3029.06871 -0.398562551 -0.160461962 EXIT FROM BFGS code FG_LNSRCH 0. -0.398374736 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.513740778 *** contribution from regularisation: 0.0179204158 *** contribution from error: -0.531661212 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3035.18046 -0.398374736 -0.0568221137 EXIT FROM BFGS code FG_LNSRCH 0. -0.398374259 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 11.1279259 sigma out 15 active outputs RANK 2 NODE 1 --> 8.00725365 sigma out 15 active outputs RANK 3 NODE 7 --> 6.92866707 sigma out 15 active outputs RANK 4 NODE 6 --> 5.81608725 sigma out 15 active outputs RANK 5 NODE 2 --> 4.97884035 sigma out 15 active outputs RANK 6 NODE 4 --> 4.33779287 sigma out 15 active outputs RANK 7 NODE 3 --> 3.65436101 sigma out 15 active outputs RANK 8 NODE 10 --> 3.43231297 sigma out 15 active outputs RANK 9 NODE 5 --> 2.45695567 sigma out 15 active outputs RANK 10 NODE 9 --> 2.3978138 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 8.04621887 sigma in 10act. ( 5.75158691 sig out 1act.) RANK 2 NODE 13 --> 6.66187668 sigma in 10act. ( 4.2912693 sig out 1act.) RANK 3 NODE 6 --> 6.04467344 sigma in 10act. ( 3.84669709 sig out 1act.) RANK 4 NODE 12 --> 5.74793959 sigma in 10act. ( 2.92272806 sig out 1act.) RANK 5 NODE 10 --> 5.23844051 sigma in 10act. ( 3.57137895 sig out 1act.) RANK 6 NODE 15 --> 5.23178673 sigma in 10act. ( 3.40849137 sig out 1act.) RANK 7 NODE 4 --> 4.98342848 sigma in 10act. ( 4.14820337 sig out 1act.) RANK 8 NODE 5 --> 4.92172146 sigma in 10act. ( 3.84338641 sig out 1act.) RANK 9 NODE 1 --> 4.54967022 sigma in 10act. ( 1.69304526 sig out 1act.) RANK 10 NODE 8 --> 3.97982836 sigma in 10act. ( 1.41816473 sig out 1act.) RANK 11 NODE 14 --> 2.82842469 sigma in 10act. ( 0.223829731 sig out 1act.) RANK 12 NODE 7 --> 2.66254687 sigma in 10act. ( 0.753539145 sig out 1act.) RANK 13 NODE 3 --> 2.64650655 sigma in 10act. ( 1.56192482 sig out 1act.) RANK 14 NODE 9 --> 2.21605396 sigma in 10act. ( 0.463293821 sig out 1act.) RANK 15 NODE 11 --> 2.04798722 sigma in 10act. ( 0.0981716216 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 5.75158691 sigma out 1act.( 8.04621887 sig in 10act.) RANK 2 NODE 13 --> 4.2912693 sigma out 1act.( 6.66187668 sig in 10act.) RANK 3 NODE 4 --> 4.14820337 sigma out 1act.( 4.98342848 sig in 10act.) RANK 4 NODE 6 --> 3.84669709 sigma out 1act.( 6.04467344 sig in 10act.) RANK 5 NODE 5 --> 3.84338641 sigma out 1act.( 4.92172146 sig in 10act.) RANK 6 NODE 10 --> 3.57137895 sigma out 1act.( 5.23844051 sig in 10act.) RANK 7 NODE 15 --> 3.40849137 sigma out 1act.( 5.23178673 sig in 10act.) RANK 8 NODE 12 --> 2.92272806 sigma out 1act.( 5.74793959 sig in 10act.) RANK 9 NODE 1 --> 1.69304526 sigma out 1act.( 4.54967022 sig in 10act.) RANK 10 NODE 3 --> 1.56192482 sigma out 1act.( 2.64650655 sig in 10act.) RANK 11 NODE 8 --> 1.41816473 sigma out 1act.( 3.97982836 sig in 10act.) RANK 12 NODE 7 --> 0.753539145 sigma out 1act.( 2.66254687 sig in 10act.) RANK 13 NODE 9 --> 0.463293821 sigma out 1act.( 2.21605396 sig in 10act.) RANK 14 NODE 14 --> 0.223829731 sigma out 1act.( 2.82842469 sig in 10act.) RANK 15 NODE 11 --> 0.0981716216 sigma out 1act.( 2.04798722 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.8045053 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.51270771 *** contribution from regularisation: 0.0189534295 *** contribution from error: -0.531661153 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3029.07729 -0.398374259 0.0995234326 EXIT FROM BFGS code FG_LNSRCH 0. -0.398374259 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.511747897 *** contribution from regularisation: 0.0199132953 *** contribution from error: -0.531661212 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3023.40641 -0.398374259 -0.0151467314 EXIT FROM BFGS code FG_LNSRCH 0. -0.398374259 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.511931956 *** contribution from regularisation: 0.0197291821 *** contribution from error: -0.531661153 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3024.49415 -0.398374259 -0.0247417521 EXIT FROM BFGS code NEW_X -3024.49415 -0.398374259 -0.0247417521 ENTER BFGS code NEW_X -3024.49415 -0.398374259 -0.0247417521 EXIT FROM BFGS code CONVERGENC -3024.49415 -0.398374259 -0.0247417521 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 8 --> 13.7514677 sigma out 15 active outputs RANK 2 NODE 1 --> 10.6604576 sigma out 15 active outputs RANK 3 NODE 7 --> 8.33488941 sigma out 15 active outputs RANK 4 NODE 6 --> 7.35898352 sigma out 15 active outputs RANK 5 NODE 2 --> 6.25686502 sigma out 15 active outputs RANK 6 NODE 4 --> 5.24723053 sigma out 15 active outputs RANK 7 NODE 3 --> 4.49401045 sigma out 15 active outputs RANK 8 NODE 10 --> 4.38251448 sigma out 15 active outputs RANK 9 NODE 9 --> 3.1415112 sigma out 15 active outputs RANK 10 NODE 5 --> 2.95100069 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 10.9779978 sigma in 10act. ( 7.82103634 sig out 1act.) RANK 2 NODE 13 --> 8.81149483 sigma in 10act. ( 5.94406891 sig out 1act.) RANK 3 NODE 6 --> 7.56358337 sigma in 10act. ( 5.3884263 sig out 1act.) RANK 4 NODE 10 --> 6.74722528 sigma in 10act. ( 4.83528042 sig out 1act.) RANK 5 NODE 12 --> 6.71116495 sigma in 10act. ( 4.27388477 sig out 1act.) RANK 6 NODE 15 --> 6.63768721 sigma in 10act. ( 4.71832943 sig out 1act.) RANK 7 NODE 5 --> 6.44018936 sigma in 10act. ( 4.84076691 sig out 1act.) RANK 8 NODE 4 --> 6.43509865 sigma in 10act. ( 5.73133087 sig out 1act.) RANK 9 NODE 1 --> 4.95092249 sigma in 10act. ( 2.43870234 sig out 1act.) RANK 10 NODE 8 --> 4.32123709 sigma in 10act. ( 2.0364182 sig out 1act.) RANK 11 NODE 3 --> 3.04960728 sigma in 10act. ( 2.01657987 sig out 1act.) RANK 12 NODE 14 --> 2.87550688 sigma in 10act. ( 0.315808982 sig out 1act.) RANK 13 NODE 7 --> 2.80480599 sigma in 10act. ( 1.03129888 sig out 1act.) RANK 14 NODE 9 --> 2.28419542 sigma in 10act. ( 0.604804516 sig out 1act.) RANK 15 NODE 11 --> 2.07854533 sigma in 10act. ( 0.130889341 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 7.82103634 sigma out 1act.( 10.9779978 sig in 10act.) RANK 2 NODE 13 --> 5.94406891 sigma out 1act.( 8.81149483 sig in 10act.) RANK 3 NODE 4 --> 5.73133087 sigma out 1act.( 6.43509865 sig in 10act.) RANK 4 NODE 6 --> 5.3884263 sigma out 1act.( 7.56358337 sig in 10act.) RANK 5 NODE 5 --> 4.84076691 sigma out 1act.( 6.44018936 sig in 10act.) RANK 6 NODE 10 --> 4.83528042 sigma out 1act.( 6.74722528 sig in 10act.) RANK 7 NODE 15 --> 4.71832943 sigma out 1act.( 6.63768721 sig in 10act.) RANK 8 NODE 12 --> 4.27388477 sigma out 1act.( 6.71116495 sig in 10act.) RANK 9 NODE 1 --> 2.43870234 sigma out 1act.( 4.95092249 sig in 10act.) RANK 10 NODE 8 --> 2.0364182 sigma out 1act.( 4.32123709 sig in 10act.) RANK 11 NODE 3 --> 2.01657987 sigma out 1act.( 3.04960728 sig in 10act.) RANK 12 NODE 7 --> 1.03129888 sigma out 1act.( 2.80480599 sig in 10act.) RANK 13 NODE 9 --> 0.604804516 sigma out 1act.( 2.28419542 sig in 10act.) RANK 14 NODE 14 --> 0.315808982 sigma out 1act.( 2.87550688 sig in 10act.) RANK 15 NODE 11 --> 0.130889341 sigma out 1act.( 2.07854533 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.1688786 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.512061894 *** contribution from regularisation: 0.0195992831 *** contribution from error: -0.531661153 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done