NNInput NNInputs_170.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 189948 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 = 50148 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 50148 Chosen entries: 50148 Signal fraction: 1 Background fraction: 0.358712 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 50148 Entries to split: 50148 Test with : 25074 Train with : 25074 ********************************************* * 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= 50148 for Signal Prepared event 0 for Signal with 50148 events ====Entry 0 Variable Ht : 206.347 Variable LepAPt : 36.1308 Variable LepBPt : 29.2247 Variable MetSigLeptonsJets : 10.199 Variable MetSpec : 96.7965 Variable SumEtLeptonsJets : 102.892 Variable VSumJetLeptonsPt : 40.6877 Variable addEt : 168.81 Variable dPhiLepSumMet : 2.54625 Variable dPhiLeptons : 0.182576 Variable dRLeptons : 0.326 Variable lep1_E : 42.5211 Variable lep2_E : 30.6986 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2170 Ht = 206.347 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.1308 LepAPt = 36.1308 LepBEt = 29.225 LepBPt = 29.2247 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 103.455 MetDelPhi = 1.21007 MetSig = 7.81518 MetSigLeptonsJets = 10.199 MetSpec = 96.7965 Mjj = 0 MostCentralJetEta = -1.03827 MtllMet = 173.786 Njets = 1 SB = 0 SumEt = 175.236 SumEtJets = 0 SumEtLeptonsJets = 102.892 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 40.6877 addEt = 168.81 dPhiLepSumMet = 2.54625 dPhiLeptons = 0.182576 dRLeptons = 0.326 diltype = 47 dimass = 10.613 event = 34 jet1_Et = 37.5368 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 42.5211 lep2_E = 30.6986 rand = 0.999742 run = 175066 weight = 3.57526e-06 ===Show End Prepared event 10000 for Signal with 50148 events Prepared event 20000 for Signal with 50148 events Prepared event 30000 for Signal with 50148 events Prepared event 40000 for Signal with 50148 events Prepared event 50000 for Signal with 50148 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 139800 for Background Prepared event 0 for Background with 139800 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.281972 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00331651 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4411 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 189948 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 4411 negative weights. Signal fraction: 63.1706696 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 60.0019798 63.4226151 65.5900879 67.2993469 68.4718018 69.618103 70.6569214 71.4544373 72.3891296 73.3105774 74.0413361 74.6624756 75.3529358 75.831871 76.506752 77.064682 77.6946945 78.3281708 78.9695892 79.5038452 80.1777878 80.8928375 81.636261 82.4310455 83.2002258 84.0482635 85.0419922 86.2190094 87.276123 88.6503372 90.0554733 91.7023621 93.2277222 95.2097473 96.8114471 98.5842133 100.26889 102.207611 104.025146 105.726517 107.312912 109.123116 110.81279 112.541824 114.291733 116.263527 118.026367 119.717636 121.355667 123.183563 124.995728 126.777908 128.378571 130.148895 131.957977 133.584106 135.235046 136.925568 138.59108 140.147354 141.799377 143.266632 144.723907 146.205475 147.742722 149.070129 150.637741 152.144562 153.55246 155.024841 156.463821 157.97197 159.469757 161.014389 162.649628 164.425827 166.355103 168.050446 170.254257 172.404053 174.601364 177.220413 179.851562 182.124847 184.928894 187.60675 190.73465 193.903198 197.603882 201.885254 206.104401 210.764282 215.591293 221.29715 228.381119 236.664703 246.887344 261.114014 281.476593 318.24057 843.047852 ------------------------------ Transdef: Tab for variable 3 20.0016136 20.3991585 20.6855927 21.0327797 21.3138905 21.5947266 21.8916893 22.1135197 22.3267632 22.5440598 22.7626038 23.0017471 23.2147179 23.4662132 23.6823845 23.9064655 24.1798973 24.4393616 24.6634445 24.9058914 25.1299763 25.3578339 25.5684681 25.7591896 25.9717102 26.1947136 26.4219799 26.6622543 26.892004 27.1264114 27.3862572 27.6331329 27.8482056 28.0924683 28.318718 28.5751705 28.8381119 29.0973606 29.3418407 29.6051941 29.8364887 30.1187096 30.4214458 30.7265129 31.040844 31.3740044 31.6739807 31.9663963 32.2392426 32.5670128 32.8728905 33.1781235 33.5318069 33.8235855 34.145874 34.5477371 34.8879242 35.2166328 35.5217133 35.873745 36.2130966 36.5805359 36.9513969 37.2973557 37.6670609 38.0285721 38.37286 38.733139 39.1403084 39.4085083 39.7906151 40.1823387 40.5630493 40.9575462 41.3504868 41.7508202 42.2146225 42.6506462 43.1459579 43.5743561 44.0960007 44.6356201 45.1615524 45.7245483 46.3709793 46.9671326 47.6620712 48.2918587 49.020256 49.746933 50.6559067 51.4223633 52.4322929 53.4084549 54.6030121 56.0716629 57.9005165 60.5037689 64.188858 71.7262726 153.067764 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1363821 10.2756834 10.4020901 10.5193682 10.6529064 10.7921667 10.9189606 11.0440178 11.2052259 11.3592072 11.4834175 11.6329336 11.7571049 11.9228411 12.0724564 12.2646675 12.4073782 12.5801334 12.7419043 12.8907814 13.0596218 13.2522697 13.4553785 13.6450682 13.8249264 14.03792 14.2315826 14.4397688 14.6593189 14.8580904 15.1040726 15.3511257 15.5450811 15.7343035 15.9594936 16.2537556 16.4958076 16.7660599 17.0411377 17.3052711 17.6044579 17.8931084 18.2331085 18.4953079 18.773159 19.0426712 19.2948189 19.6026382 19.8944626 20.1826324 20.4114761 20.6768456 21.0087318 21.3159904 21.5942116 21.8927536 22.0692501 22.3670654 22.6692486 22.9959183 23.3210373 23.6390991 23.9570503 24.2412605 24.5848598 24.9113426 25.2539825 25.5804329 25.9018097 26.236269 26.5341434 26.8702183 27.1806526 27.5137291 27.8143387 28.1194191 28.4434853 28.7771759 29.1288681 29.4841003 29.8691483 30.2373619 30.6105347 30.993988 31.4067764 31.838932 32.2690239 32.7716141 33.242424 33.7531052 34.3305435 34.9234047 35.6376534 36.3230782 37.2377167 38.2592773 39.7982178 42.1962929 46.238884 72.0671005 ------------------------------ Transdef: Tab for variable 5 1.23494017 2.73116803 3.14326429 3.46272326 3.78230596 4.00898361 4.13107824 4.26975346 4.3996172 4.52533436 4.63182497 4.72944832 4.82083225 4.92030048 5.00333786 5.07542515 5.14842033 5.21594429 5.28464699 5.34307671 5.40016842 5.45859337 5.51787376 5.56725693 5.6216135 5.66548538 5.72486448 5.77990532 5.8276968 5.88539457 5.92997122 5.97742844 6.02063751 6.06386852 6.09920216 6.13753986 6.18432903 6.22219419 6.27206802 6.30417109 6.34926748 6.39217234 6.43945408 6.48717499 6.53297138 6.58515167 6.63857841 6.67817402 6.72684383 6.76864243 6.81732225 6.85887051 6.9130249 6.96350384 7.00631237 7.05941677 7.11744308 7.1748333 7.2276125 7.2918911 7.34632874 7.40696144 7.46309185 7.50821829 7.56961155 7.63849163 7.69945192 7.76002026 7.82046509 7.87858057 7.93897152 7.99358559 8.06004715 8.12242985 8.19043541 8.25014877 8.3149128 8.38088989 8.44883728 8.50962448 8.57633018 8.64442444 8.71394348 8.78050804 8.85429192 8.92481232 8.99599457 9.08047676 9.17303181 9.26801682 9.36746979 9.4702549 9.58907318 9.71068764 9.86979866 10.0543556 10.2801266 10.5562191 11.000927 11.7286263 17.7251911 ------------------------------ Transdef: Tab for variable 6 15.004632 21.20327 25.4228745 26.5353813 27.4375553 28.4502106 29.267128 30.0963612 30.7849808 31.4373436 32.1296043 32.6980782 33.2269287 33.7338409 34.2188644 34.6691818 34.9964638 35.5200043 35.9630508 36.2997971 36.6511002 37.0449715 37.4242401 37.7950897 38.2043762 38.6247063 39.0460281 39.3965034 39.7351685 40.0921631 40.4152336 40.7611771 41.2242279 41.6608658 42.1135635 42.5379791 43.0171585 43.4844818 43.9577141 44.4028854 45.0135498 45.6817932 46.356926 46.9758148 47.6572037 48.4159927 49.1979828 49.9657669 50.7310486 51.5899887 52.3958321 53.2130394 54.0606804 54.8941879 55.7203827 56.4550705 57.2366638 58.1279373 58.7789612 59.6144257 60.4249115 61.2807999 62.0665894 62.9440765 63.8130341 64.6799011 65.4970551 66.3241119 67.1713257 68.0165253 68.874115 69.6457214 70.5279541 71.3486481 72.1228714 72.9160538 73.7414093 74.5297699 75.3434601 76.14888 77.006485 77.8222504 78.6419907 79.557724 80.4312286 81.3629837 82.4161835 83.5286713 84.7687531 86.0574493 87.4312897 89.087616 91.1212463 93.4420471 95.8770676 98.8748474 102.722824 107.449089 114.641739 127.57782 236.562576 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.9081917 33.7838631 34.5161705 35.1429443 35.6149712 36.1236801 36.5349579 36.9200363 37.3006973 37.6414833 37.972168 38.2829399 38.621769 38.886734 39.1972046 39.4759979 39.7231483 40.0976067 40.4292679 40.7813454 41.0987244 41.4884758 41.8734779 42.3220825 42.802639 43.346096 44.0000076 44.6243439 45.3910141 46.1759796 47.1815872 48.1654015 49.0455894 50.2292404 51.3171539 52.4709473 53.4203415 54.4678383 55.5205612 56.4927139 57.5409927 58.4296799 59.4158058 60.3597412 61.1814194 62.040699 62.8910294 63.7847748 64.7226334 65.6326828 66.4892273 67.418808 68.3089294 69.2381973 70.1306915 70.996582 71.8145599 72.6318054 73.4663773 74.3229523 75.2423477 76.2654114 76.9981766 77.9291077 78.7245026 79.7011795 80.7024841 81.7877197 82.9563904 84.271286 85.8503723 87.2414246 88.8045197 90.4524536 91.9626465 93.6289291 95.1965485 96.9099655 98.7835541 100.691055 102.471542 104.476883 106.628998 108.559601 111.105736 113.469055 116.246689 119.526268 122.68541 126.03656 129.935257 134.377396 139.693192 145.464905 152.545746 161.3508 172.79158 188.137054 216.763092 527.566101 ------------------------------ Transdef: Tab for variable 8 3.05552721 25.1662865 29.7299805 31.4884796 32.3358803 33.0754662 33.6242905 34.0078964 34.5009079 34.9264946 35.2522278 35.6048164 36.0079918 36.3448105 36.6518478 36.9439049 37.2647858 37.5365524 37.8224716 38.07901 38.3317108 38.6046028 38.8613586 39.1615295 39.4052582 39.7233658 40.0637207 40.3857841 40.665123 40.978981 41.3824234 41.7676811 42.1669006 42.6066589 43.1092796 43.581913 44.0935287 44.7031479 45.3008156 45.9540977 46.6378937 47.3389244 48.1203384 48.7524414 49.4115639 50.2124557 50.9435463 51.6846886 52.45047 53.0619659 53.8181953 54.5732574 55.3454437 56.0434036 56.8396339 57.5969734 58.2971191 59.0290375 59.8011322 60.5615692 61.151001 61.9139481 62.6527405 63.3503456 64.08741 64.8335724 65.4897842 66.1811905 66.9049072 67.6246033 68.3392944 69.0614471 69.7990952 70.5256042 71.2537689 71.9800949 72.7638321 73.4779205 74.2112961 74.9494781 75.7643433 76.4887161 77.2714539 78.090477 78.8348846 79.8321075 80.8415375 81.8694 83.124054 84.3730011 85.8994293 87.5800247 89.6043396 92.013031 94.6863098 97.9276581 101.997742 107.401154 115.257126 129.104706 313.20459 ------------------------------ Transdef: Tab for variable 9 48.7445374 62.7698669 64.8956146 66.5789261 67.9449463 68.8894424 69.8008347 70.699646 71.4603348 72.3373947 73.1586304 73.8763123 74.4166718 75.0715485 75.575058 76.1326904 76.7042084 77.1515198 77.746109 78.3330078 78.856041 79.414566 79.8432007 80.5603333 81.0980225 81.7769547 82.443161 83.1621704 83.7247772 84.6583099 85.4074707 86.3696899 87.1963501 88.3869324 89.312088 90.6105804 92.0274048 93.0843811 94.7615662 96.1615601 97.6891327 99.0581512 100.691833 102.258636 103.695999 105.267014 106.585281 108.052872 109.55658 111.0299 112.574646 114.02861 115.473801 116.834686 118.211967 119.65847 120.669151 122.10405 123.479271 124.88311 126.258743 127.523819 128.866394 130.184692 131.601471 132.861008 134.21463 135.514664 136.770386 137.944229 139.191177 140.466385 141.603012 142.784515 143.934235 145.061646 146.199387 147.357361 148.399887 149.636719 150.791031 151.91922 153.057892 154.183029 155.289032 156.325104 157.546249 158.76239 160.061768 161.386597 162.822067 164.405182 166.118713 167.770935 169.825958 172.34256 175.375397 179.585114 186.76236 201.291199 419.459076 ------------------------------ Transdef: Tab for variable 10 0.00602381537 1.17195678 1.48936605 1.69778562 1.85194635 1.96343434 2.06049061 2.13746595 2.20571828 2.26186252 2.31143212 2.3591938 2.40318799 2.4421711 2.47608757 2.50916624 2.54197717 2.56755733 2.59109449 2.61362767 2.63581371 2.66018915 2.68326783 2.70238924 2.72035837 2.73732853 2.75381088 2.77086401 2.78518915 2.8000226 2.8126328 2.82494307 2.83714485 2.84865475 2.85886955 2.86719251 2.87769365 2.88709497 2.89677238 2.90466833 2.91347432 2.91946983 2.92738056 2.93428826 2.94306874 2.95000863 2.95662642 2.96353912 2.9691813 2.97564006 2.981107 2.98706412 2.99137545 2.99619722 3.00114775 3.00582123 3.01097488 3.01484156 3.01926708 3.02316999 3.02765298 3.03112221 3.0349884 3.03884935 3.04304552 3.04652452 3.05051136 3.05448961 3.05784535 3.06107283 3.06433797 3.06770372 3.0711081 3.07365513 3.0764389 3.07905054 3.08218431 3.08504415 3.08789635 3.09063482 3.09347153 3.09584713 3.09828758 3.10105658 3.1035018 3.10565948 3.10848856 3.11124516 3.11387014 3.11583495 3.1180644 3.12045717 3.12304282 3.12552309 3.12794924 3.1303792 3.13205385 3.1341815 3.13672113 3.13936377 3.14159131 ------------------------------ Transdef: Tab for variable 11 4.88758087E-06 0.00551688718 0.0111914799 0.0178255439 0.0239044428 0.029645443 0.0365851521 0.0441677868 0.0501600504 0.058684431 0.0659427643 0.0740005672 0.0809314251 0.0879386067 0.0955047607 0.102698997 0.108788848 0.115768671 0.123116195 0.130010456 0.137488127 0.144720435 0.152114511 0.158113942 0.164625049 0.171255231 0.176671267 0.183150113 0.188823223 0.19449155 0.199735999 0.204266846 0.208876133 0.213597298 0.218829632 0.223739028 0.228349805 0.233083189 0.23757422 0.242811143 0.247361988 0.252453685 0.257185698 0.261770248 0.266373158 0.271026611 0.276544452 0.281326652 0.28598398 0.291199774 0.296506763 0.301230073 0.306295633 0.311003685 0.316346705 0.32226491 0.327648401 0.333113432 0.338410676 0.343696594 0.349695146 0.355003059 0.359383881 0.364786029 0.370162129 0.376051426 0.38191849 0.387835264 0.394116998 0.399438888 0.405193925 0.41158855 0.417853147 0.424848586 0.430871248 0.43824029 0.445646942 0.452447683 0.460194349 0.468127131 0.475439459 0.482499242 0.492374361 0.503048182 0.511049807 0.519635677 0.529367149 0.54030323 0.551923275 0.564669371 0.577921987 0.593004525 0.60748297 0.626328528 0.645553231 0.666377902 0.690913081 0.721380591 0.771003723 0.830306411 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200030401 0.210636973 0.220044047 0.228145123 0.23585099 0.243185043 0.250342965 0.256875455 0.263693303 0.270378113 0.276403308 0.282432377 0.288230211 0.294078648 0.299771726 0.304961234 0.310058594 0.31526351 0.320317656 0.325768173 0.331080109 0.33627063 0.341274679 0.347111046 0.35166499 0.357149065 0.361819476 0.366924316 0.371653557 0.376221418 0.380823255 0.385869712 0.390917897 0.395590186 0.400458455 0.40410322 0.407866776 0.411340654 0.414573789 0.418491632 0.42195338 0.425542116 0.429216832 0.432795107 0.436687887 0.44029963 0.443878114 0.447413385 0.451347172 0.455364108 0.459414959 0.4636724 0.467996657 0.471877009 0.476190329 0.478856146 0.483005702 0.487016916 0.490797937 0.495305479 0.49958086 0.504630089 0.509970665 0.514401555 0.519750953 0.524296403 0.529795527 0.535484672 0.541564703 0.547478259 0.553512216 0.559496164 0.565211177 0.571135759 0.577801704 0.583003461 0.588385701 0.594912112 0.602367938 0.610333681 0.617690444 0.62567997 0.633461833 0.643221378 0.652178049 0.661103845 0.67006743 0.678520143 0.690294981 0.701677084 0.713219821 0.725394607 0.73904562 0.753837228 0.766044378 0.784399152 0.802740097 0.826861262 0.859176993 0.893789649 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.7057915 22.5569839 23.2977715 23.9009647 24.5927162 25.2296104 25.7713604 26.2272415 26.7948532 27.2467842 27.6889915 28.1127396 28.5344009 28.9328365 29.3210945 29.7229462 30.1300697 30.4609203 30.7913322 31.0667915 31.4850006 31.8571968 32.2160492 32.6085281 33.0091782 33.3645401 33.7329941 34.1369553 34.5148468 34.8743515 35.2624893 35.5572243 35.9531555 36.2612762 36.5900497 36.9999008 37.4179001 37.776474 38.1301575 38.5398712 38.8763771 39.3188553 39.7506561 40.170845 40.5490189 40.9692307 41.3672409 41.8526459 42.2853546 42.7334747 43.0651245 43.4583511 43.8496552 44.2660179 44.687561 45.0909805 45.5317726 46.0071182 46.4354935 46.9039307 47.3729668 47.8102188 48.2468796 48.7488937 49.2502213 49.7613373 50.2617302 50.7721939 51.2473907 51.8366318 52.3635139 52.9015083 53.5533142 54.2391586 54.8793411 55.4569626 56.1042976 56.7864227 57.5039291 58.3089104 58.9583397 59.9021301 60.8274536 61.7682877 62.6539497 63.7692261 64.9947052 66.3194275 67.4498596 68.9791718 70.6733551 72.6898041 74.8603516 77.27034 79.6947479 83.139801 87.602829 93.5483704 102.955704 216.87648 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7926283 11.2422619 11.5892658 12.0548649 12.418889 12.7676811 13.1327906 13.4708309 13.7827454 14.0871449 14.4513311 14.7377777 15.0881386 15.4509449 15.7793446 16.1014671 16.4450264 16.7691135 17.0827789 17.436615 17.7896347 18.1034985 18.4657173 18.7716541 19.0519848 19.3504829 19.694767 20.0312233 20.4309273 20.7496185 21.0718365 21.385643 21.6854286 21.9599228 22.2762451 22.6051483 22.950882 23.2216187 23.5245857 23.8639069 24.1941452 24.510849 24.8359566 25.149168 25.4649391 25.7785721 26.0743313 26.3962975 26.762928 27.0776577 27.3837337 27.6638012 27.9202423 28.1966019 28.4891434 28.8484879 29.1245823 29.4154644 29.7351036 30.0332375 30.307766 30.6583672 31.0089455 31.3029861 31.5815678 31.9080677 32.2709465 32.6269836 32.9574394 33.2944946 33.5478096 33.9040909 34.2621231 34.6565399 35.0415649 35.4671097 35.9096451 36.3411713 36.7681961 37.2067795 37.66819 38.2063217 38.7268982 39.3460541 39.9313812 40.4850464 41.2302437 41.9488297 42.7753677 43.5077057 44.3064499 45.3600082 46.7101593 48.1155167 49.8681564 51.9938889 54.3376465 57.7230072 64.1254578 130.657516 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 68.4 54.4 57.7 35.4 53.4 65.7 58.9 67.4 -25.8 -20.1 -44.3 15.3 29.6 2 68.4 100.0 68.5 64.2 40.0 71.2 94.4 77.2 92.2 -43.6 -26.9 -53.8 31.5 37.9 3 54.4 68.5 100.0 53.1 14.9 38.6 71.7 57.3 74.1 -16.5 -29.1 -60.1 61.8 31.1 4 57.7 64.2 53.1 100.0 21.7 41.6 64.7 56.3 70.3 -11.7 -31.3 -66.0 23.8 72.2 5 35.4 40.0 14.9 21.7 100.0 84.8 13.2 60.3 60.0 21.8 -10.3 -17.9 -2.5 8.9 6 53.4 71.2 38.6 41.6 84.8 100.0 50.9 80.6 80.9 -8.2 -17.9 -34.7 11.3 22.0 7 65.7 94.4 71.7 64.7 13.2 50.9 100.0 69.0 81.1 -52.1 -25.9 -53.9 36.0 39.5 8 58.9 77.2 57.3 56.3 60.3 80.6 69.0 100.0 84.7 -11.4 -26.0 -48.4 25.5 34.1 9 67.4 92.2 74.1 70.3 60.0 80.9 81.1 84.7 100.0 -20.2 -29.9 -60.3 36.0 43.3 10 -25.8 -43.6 -16.5 -11.7 21.8 -8.2 -52.1 -11.4 -20.2 100.0 3.3 8.2 -5.1 -3.8 11 -20.1 -26.9 -29.1 -31.3 -10.3 -17.9 -25.9 -26.0 -29.9 3.3 100.0 52.9 -11.9 -20.7 12 -44.3 -53.8 -60.1 -66.0 -17.9 -34.7 -53.9 -48.4 -60.3 8.2 52.9 100.0 -29.3 -41.9 13 15.3 31.5 61.8 23.8 -2.5 11.3 36.0 25.5 36.0 -5.1 -11.9 -29.3 100.0 50.7 14 29.6 37.9 31.1 72.2 8.9 22.0 39.5 34.1 43.3 -3.8 -20.7 -41.9 50.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 177.599801 TOTAL CORRELATION OF ALL VARIABLES 75.6689803 ROUND 1: MAX CORR ( 75.668767) AFTER KILLING INPUT VARIABLE 8 CONTR 0.179637677 ROUND 2: MAX CORR ( 75.6683645) AFTER KILLING INPUT VARIABLE 14 CONTR 0.246824381 ROUND 3: MAX CORR ( 75.6660161) AFTER KILLING INPUT VARIABLE 6 CONTR 0.596139875 ROUND 4: MAX CORR ( 75.6500834) AFTER KILLING INPUT VARIABLE 2 CONTR 1.55270052 ROUND 5: MAX CORR ( 75.6307971) AFTER KILLING INPUT VARIABLE 12 CONTR 1.70811227 ROUND 6: MAX CORR ( 75.5749616) AFTER KILLING INPUT VARIABLE 11 CONTR 2.90562401 ROUND 7: MAX CORR ( 75.3092818) AFTER KILLING INPUT VARIABLE 10 CONTR 6.33142188 ROUND 8: MAX CORR ( 74.2981164) AFTER KILLING INPUT VARIABLE 13 CONTR 12.2995045 ROUND 9: MAX CORR ( 72.9953787) AFTER KILLING INPUT VARIABLE 9 CONTR 13.8522488 ROUND 10: MAX CORR ( 72.6953864) AFTER KILLING INPUT VARIABLE 3 CONTR 6.61105901 ROUND 11: MAX CORR ( 71.0238004) AFTER KILLING INPUT VARIABLE 4 CONTR 15.4996447 ROUND 12: MAX CORR ( 65.6954808) AFTER KILLING INPUT VARIABLE 5 CONTR 26.9904432 LAST REMAINING VARIABLE: 7 total correlation to target: 75.6689803 % total significance: 151.130383 sigma correlations of single variables to target: variable 2: 68.4247228 % , in sigma: 136.661741 variable 3: 54.3756211 % , in sigma: 108.602077 variable 4: 57.723168 % , in sigma: 115.287988 variable 5: 35.4029576 % , in sigma: 70.7087968 variable 6: 53.386574 % , in sigma: 106.626697 variable 7: 65.6954808 % , in sigma: 131.210744 variable 8: 58.8896039 % , in sigma: 117.61766 variable 9: 67.3881206 % , in sigma: 134.59138 variable 10: -25.8092618 % , in sigma: 51.547723 variable 11: -20.0755391 % , in sigma: 40.0960065 variable 12: -44.2750681 % , in sigma: 88.4286797 variable 13: 15.3324232 % , in sigma: 30.6227862 variable 14: 29.6315375 % , in sigma: 59.181789 variables sorted by significance: 1 most relevant variable 7 corr 65.6954803 , in sigma: 131.210743 2 most relevant variable 5 corr 26.9904423 , in sigma: 53.9068436 3 most relevant variable 4 corr 15.4996443 , in sigma: 30.9567695 4 most relevant variable 3 corr 6.61105919 , in sigma: 13.2039827 5 most relevant variable 9 corr 13.8522491 , in sigma: 27.6664984 6 most relevant variable 13 corr 12.2995043 , in sigma: 24.5652682 7 most relevant variable 10 corr 6.33142185 , in sigma: 12.6454752 8 most relevant variable 11 corr 2.90562391 , in sigma: 5.80327704 9 most relevant variable 12 corr 1.70811224 , in sigma: 3.41153874 10 most relevant variable 2 corr 1.55270052 , in sigma: 3.10114163 11 most relevant variable 6 corr 0.596139848 , in sigma: 1.19064435 12 most relevant variable 14 corr 0.246824384 , in sigma: 0.492971672 13 most relevant variable 8 corr 0.179637671 , in sigma: 0.358782554 global correlations between input variables: variable 2: 99.1165396 % variable 3: 92.6593367 % variable 4: 92.2719556 % variable 5: 95.2195658 % variable 6: 95.0554571 % variable 7: 98.7208697 % variable 8: 90.4595782 % variable 9: 98.6878617 % variable 10: 71.8447715 % variable 11: 53.8758478 % variable 12: 78.4699086 % variable 13: 84.4016792 % variable 14: 87.9361081 % significance loss when removing single variables: variable 2: corr = 1.39787863 % , sigma = 2.79192257 variable 3: corr = 16.2726825 % , sigma = 32.5007253 variable 4: corr = 13.5865247 % , sigma = 27.1357786 variable 5: corr = 16.6907775 % , sigma = 33.3357684 variable 6: corr = 0.485884968 % , sigma = 0.970437043 variable 7: corr = 8.74181822 % , sigma = 17.4596557 variable 8: corr = 0.179637677 % , sigma = 0.358782567 variable 9: corr = 11.0298094 % , sigma = 22.0293614 variable 10: corr = 5.80637263 % , sigma = 11.5968171 variable 11: corr = 1.93443189 % , sigma = 3.8635572 variable 12: corr = 1.6952196 % , sigma = 3.38578882 variable 13: corr = 8.41174231 % , sigma = 16.8004093 variable 14: corr = 0.245429687 % , sigma = 0.490186105 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 22.9126854 sigma out 15 active outputs RANK 2 NODE 7 --> 20.3977203 sigma out 15 active outputs RANK 3 NODE 4 --> 19.8838348 sigma out 15 active outputs RANK 4 NODE 8 --> 17.0576401 sigma out 15 active outputs RANK 5 NODE 6 --> 16.38204 sigma out 15 active outputs RANK 6 NODE 1 --> 15.9547873 sigma out 15 active outputs RANK 7 NODE 2 --> 15.3361015 sigma out 15 active outputs RANK 8 NODE 3 --> 12.4746332 sigma out 15 active outputs RANK 9 NODE 5 --> 11.2201376 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 23.1229553 sigma in 9act. ( 25.1553745 sig out 1act.) RANK 2 NODE 8 --> 22.9462929 sigma in 9act. ( 25.9950638 sig out 1act.) RANK 3 NODE 12 --> 18.1993256 sigma in 9act. ( 22.9175873 sig out 1act.) RANK 4 NODE 5 --> 15.7727671 sigma in 9act. ( 15.9072161 sig out 1act.) RANK 5 NODE 7 --> 15.1750708 sigma in 9act. ( 14.6566772 sig out 1act.) RANK 6 NODE 6 --> 15.0900669 sigma in 9act. ( 13.1173372 sig out 1act.) RANK 7 NODE 3 --> 14.3066788 sigma in 9act. ( 12.3217134 sig out 1act.) RANK 8 NODE 15 --> 11.6745701 sigma in 9act. ( 14.6426058 sig out 1act.) RANK 9 NODE 2 --> 8.724823 sigma in 9act. ( 9.41835976 sig out 1act.) RANK 10 NODE 1 --> 8.70358658 sigma in 9act. ( 9.30168819 sig out 1act.) RANK 11 NODE 9 --> 6.89557266 sigma in 9act. ( 1.76124263 sig out 1act.) RANK 12 NODE 4 --> 3.95793343 sigma in 9act. ( 2.90934396 sig out 1act.) RANK 13 NODE 11 --> 2.82158399 sigma in 9act. ( 5.41362572 sig out 1act.) RANK 14 NODE 10 --> 1.63362193 sigma in 9act. ( 2.01900792 sig out 1act.) RANK 15 NODE 13 --> 1.06338143 sigma in 9act. ( 1.50022995 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 25.9950638 sigma out 1act.( 22.9462929 sig in 9act.) RANK 2 NODE 14 --> 25.1553745 sigma out 1act.( 23.1229553 sig in 9act.) RANK 3 NODE 12 --> 22.9175873 sigma out 1act.( 18.1993256 sig in 9act.) RANK 4 NODE 5 --> 15.9072161 sigma out 1act.( 15.7727671 sig in 9act.) RANK 5 NODE 7 --> 14.6566772 sigma out 1act.( 15.1750708 sig in 9act.) RANK 6 NODE 15 --> 14.6426058 sigma out 1act.( 11.6745701 sig in 9act.) RANK 7 NODE 6 --> 13.1173372 sigma out 1act.( 15.0900669 sig in 9act.) RANK 8 NODE 3 --> 12.3217134 sigma out 1act.( 14.3066788 sig in 9act.) RANK 9 NODE 2 --> 9.41835976 sigma out 1act.( 8.724823 sig in 9act.) RANK 10 NODE 1 --> 9.30168819 sigma out 1act.( 8.70358658 sig in 9act.) RANK 11 NODE 11 --> 5.41362572 sigma out 1act.( 2.82158399 sig in 9act.) RANK 12 NODE 4 --> 2.90934396 sigma out 1act.( 3.95793343 sig in 9act.) RANK 13 NODE 10 --> 2.01900792 sigma out 1act.( 1.63362193 sig in 9act.) RANK 14 NODE 9 --> 1.76124263 sigma out 1act.( 6.89557266 sig in 9act.) RANK 15 NODE 13 --> 1.50022995 sigma out 1act.( 1.06338143 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 55.3383484 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 24.2504311 sigma out 15 active outputs RANK 2 NODE 2 --> 22.0559711 sigma out 15 active outputs RANK 3 NODE 7 --> 21.0432377 sigma out 15 active outputs RANK 4 NODE 4 --> 20.093195 sigma out 15 active outputs RANK 5 NODE 8 --> 17.7967739 sigma out 15 active outputs RANK 6 NODE 1 --> 17.1078758 sigma out 15 active outputs RANK 7 NODE 6 --> 16.9754715 sigma out 15 active outputs RANK 8 NODE 3 --> 13.8007889 sigma out 15 active outputs RANK 9 NODE 5 --> 11.8865805 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 23.8119087 sigma in 9act. ( 25.3212357 sig out 1act.) RANK 2 NODE 14 --> 23.3351498 sigma in 9act. ( 23.2461491 sig out 1act.) RANK 3 NODE 12 --> 22.2569866 sigma in 9act. ( 22.7634392 sig out 1act.) RANK 4 NODE 15 --> 16.521101 sigma in 9act. ( 14.4996099 sig out 1act.) RANK 5 NODE 5 --> 15.611784 sigma in 9act. ( 15.6495829 sig out 1act.) RANK 6 NODE 7 --> 14.2073383 sigma in 9act. ( 13.526988 sig out 1act.) RANK 7 NODE 6 --> 12.5973253 sigma in 9act. ( 11.8022442 sig out 1act.) RANK 8 NODE 3 --> 12.0276899 sigma in 9act. ( 10.7968264 sig out 1act.) RANK 9 NODE 11 --> 10.5842104 sigma in 9act. ( 6.33760309 sig out 1act.) RANK 10 NODE 2 --> 10.1944733 sigma in 9act. ( 9.09244156 sig out 1act.) RANK 11 NODE 1 --> 9.98936558 sigma in 9act. ( 8.98801041 sig out 1act.) RANK 12 NODE 13 --> 8.59027195 sigma in 9act. ( 3.3473835 sig out 1act.) RANK 13 NODE 10 --> 8.18774891 sigma in 9act. ( 2.97742677 sig out 1act.) RANK 14 NODE 4 --> 5.96030426 sigma in 9act. ( 2.65528893 sig out 1act.) RANK 15 NODE 9 --> 5.43500137 sigma in 9act. ( 0.866047621 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 25.3212357 sigma out 1act.( 23.8119087 sig in 9act.) RANK 2 NODE 14 --> 23.2461491 sigma out 1act.( 23.3351498 sig in 9act.) RANK 3 NODE 12 --> 22.7634392 sigma out 1act.( 22.2569866 sig in 9act.) RANK 4 NODE 5 --> 15.6495829 sigma out 1act.( 15.611784 sig in 9act.) RANK 5 NODE 15 --> 14.4996099 sigma out 1act.( 16.521101 sig in 9act.) RANK 6 NODE 7 --> 13.526988 sigma out 1act.( 14.2073383 sig in 9act.) RANK 7 NODE 6 --> 11.8022442 sigma out 1act.( 12.5973253 sig in 9act.) RANK 8 NODE 3 --> 10.7968264 sigma out 1act.( 12.0276899 sig in 9act.) RANK 9 NODE 2 --> 9.09244156 sigma out 1act.( 10.1944733 sig in 9act.) RANK 10 NODE 1 --> 8.98801041 sigma out 1act.( 9.98936558 sig in 9act.) RANK 11 NODE 11 --> 6.33760309 sigma out 1act.( 10.5842104 sig in 9act.) RANK 12 NODE 13 --> 3.3473835 sigma out 1act.( 8.59027195 sig in 9act.) RANK 13 NODE 10 --> 2.97742677 sigma out 1act.( 8.18774891 sig in 9act.) RANK 14 NODE 4 --> 2.65528893 sigma out 1act.( 5.96030426 sig in 9act.) RANK 15 NODE 9 --> 0.866047621 sigma out 1act.( 5.43500137 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 53.1526794 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.430300087 *** contribution from regularisation: 0.00349040446 *** contribution from error: -0.433790505 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.480370998 *** contribution from regularisation: 0.00208733976 *** contribution from error: -0.482458323 *********************************************** -----------------> Test sample ENTER BFGS code START -45632.2513 0.379171908 -0.743546844 EXIT FROM BFGS code FG_START 0. 0.379171908 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.511790812 *** contribution from regularisation: 0.00208366173 *** contribution from error: -0.513874471 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -48606.822 0.379171908 -197.341904 EXIT FROM BFGS code FG_LNSRCH 0. 0.353943259 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.560824871 *** contribution from regularisation: 0.00281283329 *** contribution from error: -0.563637733 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53263.7798 0.353943259 -159.292328 EXIT FROM BFGS code NEW_X -53263.7798 0.353943259 -159.292328 ENTER BFGS code NEW_X -53263.7798 0.353943259 -159.292328 EXIT FROM BFGS code FG_LNSRCH 0. 0.327567369 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.564177752 *** contribution from regularisation: 0.00292470399 *** contribution from error: -0.567102432 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53582.2165 0.327567369 -87.8465042 EXIT FROM BFGS code NEW_X -53582.2165 0.327567369 -87.8465042 ENTER BFGS code NEW_X -53582.2165 0.327567369 -87.8465042 EXIT FROM BFGS code FG_LNSRCH 0. 0.293833703 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.566893995 *** contribution from regularisation: 0.00284216087 *** contribution from error: -0.569736183 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53840.1926 0.293833703 -21.4280624 EXIT FROM BFGS code NEW_X -53840.1926 0.293833703 -21.4280624 ENTER BFGS code NEW_X -53840.1926 0.293833703 -21.4280624 EXIT FROM BFGS code FG_LNSRCH 0. 0.27336821 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.567704558 *** contribution from regularisation: 0.0027181094 *** contribution from error: -0.570422649 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53917.1754 0.27336821 -2.88951802 EXIT FROM BFGS code NEW_X -53917.1754 0.27336821 -2.88951802 ENTER BFGS code NEW_X -53917.1754 0.27336821 -2.88951802 EXIT FROM BFGS code FG_LNSRCH 0. 0.267791539 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.567903101 *** contribution from regularisation: 0.00266163726 *** contribution from error: -0.570564747 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53936.0319 0.267791539 12.7945404 EXIT FROM BFGS code NEW_X -53936.0319 0.267791539 12.7945404 ENTER BFGS code NEW_X -53936.0319 0.267791539 12.7945404 EXIT FROM BFGS code FG_LNSRCH 0. 0.267080069 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.568081677 *** contribution from regularisation: 0.00264581945 *** contribution from error: -0.570727468 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53952.9882 0.267080069 3.20248127 EXIT FROM BFGS code NEW_X -53952.9882 0.267080069 3.20248127 ENTER BFGS code NEW_X -53952.9882 0.267080069 3.20248127 EXIT FROM BFGS code FG_LNSRCH 0. 0.238822713 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 35.3023148 sigma out 15 active outputs RANK 2 NODE 1 --> 21.6784859 sigma out 15 active outputs RANK 3 NODE 8 --> 20.2257309 sigma out 15 active outputs RANK 4 NODE 9 --> 17.3943443 sigma out 15 active outputs RANK 5 NODE 4 --> 16.7293968 sigma out 15 active outputs RANK 6 NODE 6 --> 14.8099022 sigma out 15 active outputs RANK 7 NODE 7 --> 12.4564009 sigma out 15 active outputs RANK 8 NODE 3 --> 11.9766617 sigma out 15 active outputs RANK 9 NODE 5 --> 9.95025253 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 23.0101929 sigma in 9act. ( 20.2901917 sig out 1act.) RANK 2 NODE 12 --> 21.3469334 sigma in 9act. ( 18.1610031 sig out 1act.) RANK 3 NODE 8 --> 20.544302 sigma in 9act. ( 20.4696426 sig out 1act.) RANK 4 NODE 10 --> 19.7434425 sigma in 9act. ( 15.2892485 sig out 1act.) RANK 5 NODE 15 --> 19.2252178 sigma in 9act. ( 13.8959856 sig out 1act.) RANK 6 NODE 11 --> 17.5599957 sigma in 9act. ( 16.0820312 sig out 1act.) RANK 7 NODE 14 --> 13.5923147 sigma in 9act. ( 12.679944 sig out 1act.) RANK 8 NODE 1 --> 12.3705816 sigma in 9act. ( 10.5216541 sig out 1act.) RANK 9 NODE 5 --> 11.2525406 sigma in 9act. ( 10.1588049 sig out 1act.) RANK 10 NODE 7 --> 10.1697235 sigma in 9act. ( 9.11698341 sig out 1act.) RANK 11 NODE 4 --> 10.0031977 sigma in 9act. ( 8.15712547 sig out 1act.) RANK 12 NODE 2 --> 9.55215073 sigma in 9act. ( 9.45883369 sig out 1act.) RANK 13 NODE 3 --> 6.51439238 sigma in 9act. ( 4.56666088 sig out 1act.) RANK 14 NODE 9 --> 5.43619251 sigma in 9act. ( 4.04591608 sig out 1act.) RANK 15 NODE 6 --> 4.30725622 sigma in 9act. ( 2.41369224 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 20.4696426 sigma out 1act.( 20.544302 sig in 9act.) RANK 2 NODE 13 --> 20.2901917 sigma out 1act.( 23.0101929 sig in 9act.) RANK 3 NODE 12 --> 18.1610031 sigma out 1act.( 21.3469334 sig in 9act.) RANK 4 NODE 11 --> 16.0820312 sigma out 1act.( 17.5599957 sig in 9act.) RANK 5 NODE 10 --> 15.2892485 sigma out 1act.( 19.7434425 sig in 9act.) RANK 6 NODE 15 --> 13.8959856 sigma out 1act.( 19.2252178 sig in 9act.) RANK 7 NODE 14 --> 12.679944 sigma out 1act.( 13.5923147 sig in 9act.) RANK 8 NODE 1 --> 10.5216541 sigma out 1act.( 12.3705816 sig in 9act.) RANK 9 NODE 5 --> 10.1588049 sigma out 1act.( 11.2525406 sig in 9act.) RANK 10 NODE 2 --> 9.45883369 sigma out 1act.( 9.55215073 sig in 9act.) RANK 11 NODE 7 --> 9.11698341 sigma out 1act.( 10.1697235 sig in 9act.) RANK 12 NODE 4 --> 8.15712547 sigma out 1act.( 10.0031977 sig in 9act.) RANK 13 NODE 3 --> 4.56666088 sigma out 1act.( 6.51439238 sig in 9act.) RANK 14 NODE 9 --> 4.04591608 sigma out 1act.( 5.43619251 sig in 9act.) RANK 15 NODE 6 --> 2.41369224 sigma out 1act.( 4.30725622 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 50.0287552 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.56910342 *** contribution from regularisation: 0.00238097017 *** contribution from error: -0.571484387 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54050.0303 0.238822713 -15.4492035 EXIT FROM BFGS code NEW_X -54050.0303 0.238822713 -15.4492035 ENTER BFGS code NEW_X -54050.0303 0.238822713 -15.4492035 EXIT FROM BFGS code FG_LNSRCH 0. 0.202936426 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.569562554 *** contribution from regularisation: 0.0025214483 *** contribution from error: -0.57208401 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54093.6345 0.202936426 -22.6133614 EXIT FROM BFGS code NEW_X -54093.6345 0.202936426 -22.6133614 ENTER BFGS code NEW_X -54093.6345 0.202936426 -22.6133614 EXIT FROM BFGS code FG_LNSRCH 0. 0.178042009 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.5697124 *** contribution from regularisation: 0.00260749529 *** contribution from error: -0.572319925 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54107.8663 0.178042009 -50.3406601 EXIT FROM BFGS code NEW_X -54107.8663 0.178042009 -50.3406601 ENTER BFGS code NEW_X -54107.8663 0.178042009 -50.3406601 EXIT FROM BFGS code FG_LNSRCH 0. 0.175482705 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.570339978 *** contribution from regularisation: 0.00249223784 *** contribution from error: -0.572832227 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54167.4693 0.175482705 -3.48147774 EXIT FROM BFGS code NEW_X -54167.4693 0.175482705 -3.48147774 ENTER BFGS code NEW_X -54167.4693 0.175482705 -3.48147774 EXIT FROM BFGS code FG_LNSRCH 0. 0.173334122 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.570353389 *** contribution from regularisation: 0.00252990541 *** contribution from error: -0.572883308 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54168.744 0.173334122 1.92899179 EXIT FROM BFGS code NEW_X -54168.744 0.173334122 1.92899179 ENTER BFGS code NEW_X -54168.744 0.173334122 1.92899179 EXIT FROM BFGS code FG_LNSRCH 0. 0.165798843 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.570500076 *** contribution from regularisation: 0.00253813737 *** contribution from error: -0.57303822 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54182.6754 0.165798843 8.99919415 EXIT FROM BFGS code NEW_X -54182.6754 0.165798843 8.99919415 ENTER BFGS code NEW_X -54182.6754 0.165798843 8.99919415 EXIT FROM BFGS code FG_LNSRCH 0. 0.155698434 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.570685804 *** contribution from regularisation: 0.00254790927 *** contribution from error: -0.573233724 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54200.312 0.155698434 12.5673809 EXIT FROM BFGS code NEW_X -54200.312 0.155698434 12.5673809 ENTER BFGS code NEW_X -54200.312 0.155698434 12.5673809 EXIT FROM BFGS code FG_LNSRCH 0. 0.124834582 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.57092452 *** contribution from regularisation: 0.00265035476 *** contribution from error: -0.573574901 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54222.9869 0.124834582 -9.34436512 EXIT FROM BFGS code NEW_X -54222.9869 0.124834582 -9.34436512 ENTER BFGS code NEW_X -54222.9869 0.124834582 -9.34436512 EXIT FROM BFGS code FG_LNSRCH 0. 0.116209425 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.571263313 *** contribution from regularisation: 0.00262854365 *** contribution from error: -0.573891878 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54255.1627 0.116209425 -8.98703671 EXIT FROM BFGS code NEW_X -54255.1627 0.116209425 -8.98703671 ENTER BFGS code NEW_X -54255.1627 0.116209425 -8.98703671 EXIT FROM BFGS code FG_LNSRCH 0. 0.117276929 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.571360111 *** contribution from regularisation: 0.00257665943 *** contribution from error: -0.57393676 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54264.3568 0.117276929 -3.45034242 EXIT FROM BFGS code NEW_X -54264.3568 0.117276929 -3.45034242 ENTER BFGS code NEW_X -54264.3568 0.117276929 -3.45034242 EXIT FROM BFGS code FG_LNSRCH 0. 0.113342568 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 46.5398941 sigma out 15 active outputs RANK 2 NODE 4 --> 32.6612778 sigma out 15 active outputs RANK 3 NODE 1 --> 27.7257633 sigma out 15 active outputs RANK 4 NODE 8 --> 25.2781944 sigma out 15 active outputs RANK 5 NODE 7 --> 21.9568768 sigma out 15 active outputs RANK 6 NODE 6 --> 19.822979 sigma out 15 active outputs RANK 7 NODE 9 --> 18.4031048 sigma out 15 active outputs RANK 8 NODE 3 --> 18.2867336 sigma out 15 active outputs RANK 9 NODE 5 --> 16.6662712 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 47.5051003 sigma in 9act. ( 45.0712585 sig out 1act.) RANK 2 NODE 8 --> 31.1688232 sigma in 9act. ( 31.2521572 sig out 1act.) RANK 3 NODE 5 --> 27.0485878 sigma in 9act. ( 29.2827015 sig out 1act.) RANK 4 NODE 10 --> 22.851223 sigma in 9act. ( 22.1449089 sig out 1act.) RANK 5 NODE 12 --> 22.8091831 sigma in 9act. ( 24.9453545 sig out 1act.) RANK 6 NODE 15 --> 20.5790272 sigma in 9act. ( 17.6202469 sig out 1act.) RANK 7 NODE 11 --> 19.1457176 sigma in 9act. ( 21.5531712 sig out 1act.) RANK 8 NODE 14 --> 12.8655396 sigma in 9act. ( 12.1682091 sig out 1act.) RANK 9 NODE 7 --> 11.6125345 sigma in 9act. ( 11.3953552 sig out 1act.) RANK 10 NODE 2 --> 11.338995 sigma in 9act. ( 11.0039101 sig out 1act.) RANK 11 NODE 4 --> 10.9640694 sigma in 9act. ( 11.0916548 sig out 1act.) RANK 12 NODE 1 --> 10.0853481 sigma in 9act. ( 8.75692749 sig out 1act.) RANK 13 NODE 3 --> 3.37517118 sigma in 9act. ( 2.29634809 sig out 1act.) RANK 14 NODE 9 --> 2.77886939 sigma in 9act. ( 2.10810018 sig out 1act.) RANK 15 NODE 6 --> 1.99792516 sigma in 9act. ( 1.01506674 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 45.0712585 sigma out 1act.( 47.5051003 sig in 9act.) RANK 2 NODE 8 --> 31.2521572 sigma out 1act.( 31.1688232 sig in 9act.) RANK 3 NODE 5 --> 29.2827015 sigma out 1act.( 27.0485878 sig in 9act.) RANK 4 NODE 12 --> 24.9453545 sigma out 1act.( 22.8091831 sig in 9act.) RANK 5 NODE 10 --> 22.1449089 sigma out 1act.( 22.851223 sig in 9act.) RANK 6 NODE 11 --> 21.5531712 sigma out 1act.( 19.1457176 sig in 9act.) RANK 7 NODE 15 --> 17.6202469 sigma out 1act.( 20.5790272 sig in 9act.) RANK 8 NODE 14 --> 12.1682091 sigma out 1act.( 12.8655396 sig in 9act.) RANK 9 NODE 7 --> 11.3953552 sigma out 1act.( 11.6125345 sig in 9act.) RANK 10 NODE 4 --> 11.0916548 sigma out 1act.( 10.9640694 sig in 9act.) RANK 11 NODE 2 --> 11.0039101 sigma out 1act.( 11.338995 sig in 9act.) RANK 12 NODE 1 --> 8.75692749 sigma out 1act.( 10.0853481 sig in 9act.) RANK 13 NODE 3 --> 2.29634809 sigma out 1act.( 3.37517118 sig in 9act.) RANK 14 NODE 9 --> 2.10810018 sigma out 1act.( 2.77886939 sig in 9act.) RANK 15 NODE 6 --> 1.01506674 sigma out 1act.( 1.99792516 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 79.7667465 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.571379304 *** contribution from regularisation: 0.00259125629 *** contribution from error: -0.573970556 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54266.1783 0.113342568 -0.927427292 EXIT FROM BFGS code NEW_X -54266.1783 0.113342568 -0.927427292 ENTER BFGS code NEW_X -54266.1783 0.113342568 -0.927427292 EXIT FROM BFGS code FG_LNSRCH 0. 0.107300803 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.571420908 *** contribution from regularisation: 0.00258686137 *** contribution from error: -0.57400775 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54270.1291 0.107300803 0.553784966 EXIT FROM BFGS code NEW_X -54270.1291 0.107300803 0.553784966 ENTER BFGS code NEW_X -54270.1291 0.107300803 0.553784966 EXIT FROM BFGS code FG_LNSRCH 0. 0.0876568481 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.571590662 *** contribution from regularisation: 0.00251284405 *** contribution from error: -0.574103534 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54286.2489 0.0876568481 3.59745669 EXIT FROM BFGS code NEW_X -54286.2489 0.0876568481 3.59745669 ENTER BFGS code NEW_X -54286.2489 0.0876568481 3.59745669 EXIT FROM BFGS code FG_LNSRCH 0. 0.0623237528 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.571656227 *** contribution from regularisation: 0.00255902973 *** contribution from error: -0.574215233 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54292.4798 0.0623237528 -19.6892929 EXIT FROM BFGS code NEW_X -54292.4798 0.0623237528 -19.6892929 ENTER BFGS code NEW_X -54292.4798 0.0623237528 -19.6892929 EXIT FROM BFGS code FG_LNSRCH 0. 0.0261133593 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.57157594 *** contribution from regularisation: 0.00264763227 *** contribution from error: -0.574223578 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54284.8542 0.0261133593 41.8299446 EXIT FROM BFGS code FG_LNSRCH 0. 0.0486705713 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.571616471 *** contribution from regularisation: 0.00272826036 *** contribution from error: -0.574344754 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54288.7051 0.0486705713 2.10919952 EXIT FROM BFGS code FG_LNSRCH 0. 0.0595115982 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.571560323 *** contribution from regularisation: 0.00269261096 *** contribution from error: -0.574252963 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54283.3729 0.0595115982 -15.3784809 EXIT FROM BFGS code FG_LNSRCH 0. 0.062176995 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.571552098 *** contribution from regularisation: 0.00266492506 *** contribution from error: -0.574217021 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54282.5862 0.062176995 -19.5505104 EXIT FROM BFGS code FG_LNSRCH 0. 0.0623232722 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.571551204 *** contribution from regularisation: 0.00266409991 *** contribution from error: -0.574215293 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54282.502 0.0623232722 -19.8163013 EXIT FROM BFGS code FG_LNSRCH 0. 0.0623237528 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.571544468 *** contribution from regularisation: 0.00267080101 *** contribution from error: -0.574215293 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54281.8645 0.0623237528 -19.839613 EXIT FROM BFGS code FG_LNSRCH 0. 0.0623237528 0. --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 50.5419235 sigma out 15 active outputs RANK 2 NODE 4 --> 33.7662964 sigma out 15 active outputs RANK 3 NODE 1 --> 28.4392452 sigma out 15 active outputs RANK 4 NODE 8 --> 25.7039165 sigma out 15 active outputs RANK 5 NODE 6 --> 22.5866909 sigma out 15 active outputs RANK 6 NODE 5 --> 22.2635555 sigma out 15 active outputs RANK 7 NODE 7 --> 21.7085457 sigma out 15 active outputs RANK 8 NODE 3 --> 21.2071877 sigma out 15 active outputs RANK 9 NODE 9 --> 19.4625721 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 50.7499771 sigma in 9act. ( 47.3617401 sig out 1act.) RANK 2 NODE 8 --> 33.6999588 sigma in 9act. ( 33.8438835 sig out 1act.) RANK 3 NODE 5 --> 32.3801804 sigma in 9act. ( 35.868988 sig out 1act.) RANK 4 NODE 12 --> 23.8665962 sigma in 9act. ( 26.3866482 sig out 1act.) RANK 5 NODE 10 --> 23.7382698 sigma in 9act. ( 23.4379044 sig out 1act.) RANK 6 NODE 11 --> 23.5910835 sigma in 9act. ( 26.3108654 sig out 1act.) RANK 7 NODE 15 --> 18.768465 sigma in 9act. ( 16.9908562 sig out 1act.) RANK 8 NODE 7 --> 13.2697039 sigma in 9act. ( 15.0202274 sig out 1act.) RANK 9 NODE 14 --> 12.1368799 sigma in 9act. ( 11.7405529 sig out 1act.) RANK 10 NODE 4 --> 11.6573172 sigma in 9act. ( 13.0879612 sig out 1act.) RANK 11 NODE 2 --> 10.6660652 sigma in 9act. ( 10.0046215 sig out 1act.) RANK 12 NODE 1 --> 9.0076828 sigma in 9act. ( 8.51057625 sig out 1act.) RANK 13 NODE 9 --> 2.4246738 sigma in 9act. ( 2.04539275 sig out 1act.) RANK 14 NODE 3 --> 2.23323035 sigma in 9act. ( 1.38311529 sig out 1act.) RANK 15 NODE 6 --> 1.75005412 sigma in 9act. ( 1.5030936 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 47.3617401 sigma out 1act.( 50.7499771 sig in 9act.) RANK 2 NODE 5 --> 35.868988 sigma out 1act.( 32.3801804 sig in 9act.) RANK 3 NODE 8 --> 33.8438835 sigma out 1act.( 33.6999588 sig in 9act.) RANK 4 NODE 12 --> 26.3866482 sigma out 1act.( 23.8665962 sig in 9act.) RANK 5 NODE 11 --> 26.3108654 sigma out 1act.( 23.5910835 sig in 9act.) RANK 6 NODE 10 --> 23.4379044 sigma out 1act.( 23.7382698 sig in 9act.) RANK 7 NODE 15 --> 16.9908562 sigma out 1act.( 18.768465 sig in 9act.) RANK 8 NODE 7 --> 15.0202274 sigma out 1act.( 13.2697039 sig in 9act.) RANK 9 NODE 4 --> 13.0879612 sigma out 1act.( 11.6573172 sig in 9act.) RANK 10 NODE 14 --> 11.7405529 sigma out 1act.( 12.1368799 sig in 9act.) RANK 11 NODE 2 --> 10.0046215 sigma out 1act.( 10.6660652 sig in 9act.) RANK 12 NODE 1 --> 8.51057625 sigma out 1act.( 9.0076828 sig in 9act.) RANK 13 NODE 9 --> 2.04539275 sigma out 1act.( 2.4246738 sig in 9act.) RANK 14 NODE 6 --> 1.5030936 sigma out 1act.( 1.75005412 sig in 9act.) RANK 15 NODE 3 --> 1.38311529 sigma out 1act.( 2.23323035 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 87.2770844 sigma in 15 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.571550071 *** contribution from regularisation: 0.00266522728 *** contribution from error: -0.574215293 *********************************************** -----------------> Test sample Iteration No: 30 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54282.3938 0.0623237528 -19.863781 EXIT FROM BFGS code FG_LNSRCH 0. 0.0623237528 0. --------------------------------------------------- Iteration : 31 *********************************************** *** Learn Path 31 *** loss function: -0.571554124 *** contribution from regularisation: 0.00266114133 *** contribution from error: -0.574215293 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54282.7819 0.0623237528 -19.8823853 EXIT FROM BFGS code NEW_X -54282.7819 0.0623237528 -19.8823853 ENTER BFGS code NEW_X -54282.7819 0.0623237528 -19.8823853 EXIT FROM BFGS code CONVERGENC -54282.7819 0.0623237528 -19.8823853 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 75.4837189 sigma out 15 active outputs RANK 2 NODE 4 --> 51.7089996 sigma out 15 active outputs RANK 3 NODE 1 --> 42.9227066 sigma out 15 active outputs RANK 4 NODE 8 --> 38.154541 sigma out 15 active outputs RANK 5 NODE 6 --> 33.4559479 sigma out 15 active outputs RANK 6 NODE 5 --> 33.1089287 sigma out 15 active outputs RANK 7 NODE 7 --> 32.7313118 sigma out 15 active outputs RANK 8 NODE 3 --> 32.1730423 sigma out 15 active outputs RANK 9 NODE 9 --> 28.6554451 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 76.9064102 sigma in 9act. ( 70.8822708 sig out 1act.) RANK 2 NODE 8 --> 51.1242104 sigma in 9act. ( 50.9796982 sig out 1act.) RANK 3 NODE 5 --> 47.8834763 sigma in 9act. ( 56.1296539 sig out 1act.) RANK 4 NODE 12 --> 35.6066322 sigma in 9act. ( 40.6458168 sig out 1act.) RANK 5 NODE 10 --> 35.3501091 sigma in 9act. ( 35.7603798 sig out 1act.) RANK 6 NODE 11 --> 35.1981087 sigma in 9act. ( 39.8081398 sig out 1act.) RANK 7 NODE 15 --> 28.1456432 sigma in 9act. ( 25.5317898 sig out 1act.) RANK 8 NODE 7 --> 19.748621 sigma in 9act. ( 22.8664684 sig out 1act.) RANK 9 NODE 14 --> 17.7420654 sigma in 9act. ( 17.7271824 sig out 1act.) RANK 10 NODE 4 --> 17.3828239 sigma in 9act. ( 19.9342632 sig out 1act.) RANK 11 NODE 2 --> 15.4910727 sigma in 9act. ( 15.2472639 sig out 1act.) RANK 12 NODE 1 --> 13.186286 sigma in 9act. ( 12.8246155 sig out 1act.) RANK 13 NODE 9 --> 3.14728308 sigma in 9act. ( 3.12483025 sig out 1act.) RANK 14 NODE 3 --> 2.72909975 sigma in 9act. ( 2.07745242 sig out 1act.) RANK 15 NODE 6 --> 2.2381227 sigma in 9act. ( 2.23486924 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 70.8822708 sigma out 1act.( 76.9064102 sig in 9act.) RANK 2 NODE 5 --> 56.1296539 sigma out 1act.( 47.8834763 sig in 9act.) RANK 3 NODE 8 --> 50.9796982 sigma out 1act.( 51.1242104 sig in 9act.) RANK 4 NODE 12 --> 40.6458168 sigma out 1act.( 35.6066322 sig in 9act.) RANK 5 NODE 11 --> 39.8081398 sigma out 1act.( 35.1981087 sig in 9act.) RANK 6 NODE 10 --> 35.7603798 sigma out 1act.( 35.3501091 sig in 9act.) RANK 7 NODE 15 --> 25.5317898 sigma out 1act.( 28.1456432 sig in 9act.) RANK 8 NODE 7 --> 22.8664684 sigma out 1act.( 19.748621 sig in 9act.) RANK 9 NODE 4 --> 19.9342632 sigma out 1act.( 17.3828239 sig in 9act.) RANK 10 NODE 14 --> 17.7271824 sigma out 1act.( 17.7420654 sig in 9act.) RANK 11 NODE 2 --> 15.2472639 sigma out 1act.( 15.4910727 sig in 9act.) RANK 12 NODE 1 --> 12.8246155 sigma out 1act.( 13.186286 sig in 9act.) RANK 13 NODE 9 --> 3.12483025 sigma out 1act.( 3.14728308 sig in 9act.) RANK 14 NODE 6 --> 2.23486924 sigma out 1act.( 2.2381227 sig in 9act.) RANK 15 NODE 3 --> 2.07745242 sigma out 1act.( 2.72909975 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 132.633865 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.571555436 *** contribution from regularisation: 0.00265982724 *** contribution from error: -0.574215233 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 27724 Closing output file done