NNInput NNInputs_195.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= 36295 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 = 5851 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 5851 Chosen entries: 5851 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.192189 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 5851 Entries to split: 5851 Test with : 2925 Train with : 2925 ********************************************* * 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= 5851 for Signal Prepared event 0 for Signal with 5851 events ====Entry 0 Variable Ht : 129.508 Variable LepAPt : 48.8707 Variable LepBPt : 15.2289 Variable MetSigLeptonsJets : 4.94899 Variable MetSpec : 45.39 Variable SumEtLeptonsJets : 84.1174 Variable VSumJetLeptonsPt : 58.9624 Variable addEt : 109.49 Variable dPhiLepSumMet : 2.63138 Variable dPhiLeptons : 0.314493 Variable dRLeptons : 0.337509 Variable lep1_E : 51.5954 Variable lep2_E : 16.8324 ===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 = 2195 Ht = 129.508 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 48.8709 LepAPt = 48.8707 LepBEt = 15.2294 LepBPt = 15.2289 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 45.39 MetDelPhi = 1.69398 MetSig = 3.65592 MetSigLeptonsJets = 4.94899 MetSpec = 45.39 Mjj = 0 MostCentralJetEta = 2.44385 MtllMet = 111.32 Njets = 1 SB = 0 SumEt = 154.144 SumEtJets = 0 SumEtLeptonsJets = 84.1174 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 58.9624 addEt = 109.49 dPhiLepSumMet = 2.63138 dPhiLeptons = 0.314493 dRLeptons = 0.337509 diltype = 17 dimass = 9.18115 event = 664 jet1_Et = 20.0178 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 51.5954 lep2_E = 16.8324 rand = 0.999742 run = 228576 weight = 1.70213e-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= 30444 for Background Prepared event 0 for Background with 30444 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 = 0.712717 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 30444 events Prepared event 20000 for Background with 30444 events Prepared event 30000 for Background with 30444 events Warning: found 985 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 36295 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 985 negative weights. Signal fraction: 62.1695213 % ------------------------------ 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 56.7117462 62.7373886 64.1571503 66.3647308 68.0149689 69.7818909 71.1471405 72.9685974 74.4829102 76.4146423 78.0255127 79.3309021 80.9445801 82.5113983 84.5262451 86.0286789 87.596817 89.0250244 90.5302963 92.0097275 93.6372452 94.8887329 96.6312943 98.013031 99.4904327 100.793503 102.624863 104.18679 105.654671 107.417786 108.444901 110.020264 111.349197 112.67144 114.03775 115.534538 117.001091 118.615326 119.93251 121.273392 122.489594 123.768883 125.245041 126.809944 127.875595 129.06311 130.421783 131.618683 132.756287 134.063004 135.194199 136.525909 137.593475 138.797836 140.082458 141.663177 143.032028 144.408249 145.928528 147.115417 148.544769 149.903748 151.639832 153.341003 154.982758 156.414108 157.934723 159.464447 161.097504 162.457153 163.905121 165.394226 167.336609 169.462128 171.324768 173.021988 175.048767 176.837219 179.317902 181.415512 183.29068 186.186554 188.458466 191.232742 194.791611 197.767288 200.712982 204.71106 208.429932 212.467194 217.579025 223.00943 229.167404 234.938141 241.36972 250.349518 260.934265 275.561401 296.75473 337.376068 642.073486 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.5295372 20.9808426 21.4350243 21.8138733 22.1870193 22.5743256 23.0491142 23.3688984 23.6900806 24.034008 24.3393135 24.7117023 24.9572544 25.2459526 25.5543594 25.949501 26.2691193 26.5837402 26.9616814 27.2830276 27.5946121 27.9631004 28.2242584 28.5109329 28.7636223 29.0697937 29.3620377 29.6652355 29.9500351 30.2184906 30.538105 30.800745 31.1651917 31.4195023 31.7455177 31.9491463 32.2879944 32.6159058 32.8835526 33.1844826 33.5799179 33.9399147 34.2166748 34.5662537 34.8613434 35.1859665 35.4889526 35.8560905 36.2668724 36.5409241 36.8371735 37.0847168 37.4851151 37.8352585 38.1431541 38.4869041 38.9398727 39.2987289 39.7756004 40.2746887 40.6983032 41.2001915 41.6905823 42.0238571 42.4451103 43.0033646 43.4980698 43.9300461 44.3544312 44.8591156 45.5648499 46.1578941 46.7555008 47.3917618 48.0274048 48.801384 49.4404068 50.0371094 50.7089691 51.5136642 52.1961174 52.9821091 53.834362 54.672142 55.6014404 56.8779449 57.7688599 58.6395264 59.5959015 60.9523926 62.1869888 63.536171 64.9280701 66.8144073 68.5635834 70.9797974 73.72155 78.1470184 84.5381851 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0018511 10.2080612 10.4321384 10.5869484 10.8613834 11.0985441 11.3285542 11.5896282 11.8525076 12.1295958 12.3634224 12.6420345 12.8125744 13.0684986 13.2979202 13.4746094 13.7322216 14.021719 14.2687492 14.5163746 14.7442875 15.0144405 15.2179632 15.4964352 15.726366 15.9448471 16.2268867 16.4863644 16.7650108 17.0352631 17.2247543 17.4458733 17.7195816 17.9997139 18.1985245 18.4190369 18.6114292 18.8514557 19.0456371 19.2522202 19.4752789 19.6975899 19.9729004 20.1459656 20.3175354 20.4780998 20.6146278 20.793457 20.9590816 21.0899391 21.2812462 21.4721184 21.6413937 21.7996445 21.9976082 22.17239 22.3440323 22.4890785 22.622509 22.7839603 22.947731 23.0773544 23.2539215 23.4180031 23.6160889 23.798317 23.9608498 24.1631069 24.3041916 24.5162868 24.7349663 24.9323597 25.1330891 25.3595333 25.5622406 25.9142971 26.1938305 26.4647675 26.699585 26.9166451 27.1936111 27.5090256 27.7739906 28.207428 28.564106 28.9097328 29.2754898 29.5971565 30.0477715 30.4481277 30.8018265 31.3409309 31.9371986 32.5775795 33.3448868 34.0989456 35.1882629 36.6771164 39.0579834 43.065033 62.4926529 ------------------------------ Transdef: Tab for variable 5 1.55223811 2.59471631 2.91368628 3.11259699 3.32256556 3.46616244 3.6179328 3.75823879 3.89365482 4.00124121 4.09457874 4.18390417 4.27088785 4.36798906 4.4455266 4.52772999 4.59832287 4.6833868 4.7527504 4.84263086 4.89785099 4.98267794 5.076684 5.16300392 5.24403954 5.31453753 5.37862492 5.45279694 5.53505802 5.60902548 5.68031693 5.75746536 5.83507156 5.90566635 5.9856863 6.0356493 6.10178566 6.16056728 6.22782898 6.28703356 6.35397816 6.40334225 6.46730995 6.54032755 6.60731125 6.66756296 6.72096443 6.76827383 6.83312607 6.88507032 6.94104958 7.00430107 7.06385612 7.12476444 7.18193531 7.24685001 7.29613495 7.3384037 7.3893919 7.43525124 7.48246622 7.53113937 7.58718491 7.64990997 7.69692135 7.74560833 7.81139374 7.87028503 7.91367722 7.9667182 8.01603222 8.06362915 8.11048317 8.16483879 8.21435738 8.26533699 8.32987976 8.39024925 8.44590378 8.50097847 8.5515728 8.61517906 8.67453384 8.72850132 8.80015278 8.87563419 8.94260597 9.02566719 9.11712646 9.22163773 9.33350563 9.41891193 9.54835701 9.69477272 9.84344196 10.0239706 10.2783051 10.516098 10.8296165 11.7207775 16.7576122 ------------------------------ Transdef: Tab for variable 6 25.0005894 25.3339558 25.7067699 26.0455894 26.472187 27.0019836 27.3973923 27.8614254 28.3456268 28.7552834 29.321434 29.8735619 30.5817909 31.2963753 32.0001411 32.6627274 33.2699623 34.0745163 35.0237122 35.8315201 36.7061157 37.31147 37.9595299 38.6241608 39.5396957 40.4168205 41.0332642 41.8041153 42.5363579 43.2420044 43.8309326 44.5050278 45.2098618 45.8619843 46.5727234 47.3880539 48.079464 48.6641426 49.3220863 49.9054298 50.538208 51.1800995 51.7960892 52.6083984 53.2610893 53.9170074 54.6938171 55.2259369 55.8295135 56.5312195 57.165081 57.8872223 58.4585724 59.1417885 59.8139229 60.3611908 60.9651642 61.7008286 62.3642044 62.9495392 63.5433617 64.0994873 64.6686096 65.4211884 66.0951843 66.7249146 67.4333801 68.018837 68.759552 69.2456665 69.7910461 70.5355225 71.4608002 72.0784607 72.8281631 73.5082703 74.2633972 74.9708862 75.8046646 76.7726669 77.4326019 78.2521133 79.5613251 80.5586395 81.6877518 82.8742142 84.0407333 85.024765 86.606987 88.1053314 89.8392334 91.7089996 94.0518341 96.0752716 98.928772 101.587219 105.215187 111.071976 118.743149 132.379913 218.598831 ------------------------------ Transdef: Tab for variable 7 30.3253174 33.4697113 35.1538925 36.2473106 37.0862961 37.9653778 38.9533997 39.757946 40.4110909 41.2534332 42.0364304 42.6603851 43.3903122 44.278389 44.8337555 45.5699463 46.4387856 47.2691231 48.2279968 49.0109482 49.7120895 50.4629135 51.1959572 51.9012833 52.6353645 53.3250351 54.0920715 55.0835915 55.7939911 56.7343826 57.4655075 58.2034454 59.0950012 59.7765808 60.4965515 61.1824799 61.9730301 62.6843109 63.3039246 63.9800491 64.8337708 65.5920105 66.5101395 67.2101898 67.9842682 68.7281799 69.3860626 70.0366745 70.7747192 71.5400085 72.4592209 73.2252808 74.0545807 74.9253998 75.7247467 76.5019226 77.5160675 78.5341492 79.4702606 80.5462189 81.4552307 82.5783844 83.7066422 84.6649323 85.5481415 86.5837936 87.8062134 88.8527069 90.0114365 91.2283936 92.9132843 94.3877182 95.778656 97.1266098 98.7899017 100.075455 102.118042 103.765869 105.846603 107.515877 109.564163 111.853546 113.844063 116.290665 118.754684 121.813873 124.548584 127.383453 130.697479 133.30275 137.447205 142.920166 147.57608 152.46875 157.98584 166.404602 175.327469 187.453705 202.444885 230.924561 404.21167 ------------------------------ Transdef: Tab for variable 8 3.67933035 25.5569687 29.6596165 31.564209 32.8749962 33.8400116 34.7269669 35.4394989 35.965538 36.6908264 37.3556137 37.9613876 38.6250191 39.324234 39.892971 40.5381012 41.0761108 41.6525459 42.1155167 42.6110802 43.1404343 43.7217407 44.2042236 44.7354965 45.2447281 45.8899765 46.4751244 47.1863327 47.7574806 48.2392807 48.7788849 49.3351364 49.8561974 50.3712692 50.8491287 51.3379593 51.9349136 52.3754005 52.9738045 53.488121 53.9276047 54.6545105 55.1295547 55.7496796 56.3946266 56.8656693 57.3919258 57.8196411 58.3799324 58.9692459 59.4577065 59.9169846 60.4638977 60.9954453 61.6167259 62.136219 62.5788116 63.090126 63.6916733 64.218605 64.6924286 65.430481 66.0008545 66.544632 67.1475372 67.6982346 68.2914581 68.8109589 69.427887 70.0104446 70.7144012 71.4089508 72.1457367 72.8737793 73.5977173 74.384407 74.958847 75.7233963 76.7060165 77.514267 78.397728 79.3231277 80.2948761 81.424324 82.6870575 83.6633301 84.700119 85.8641968 87.2110367 88.6739578 90.5963898 92.6935425 94.5608902 97.138031 99.7637482 103.948563 108.481636 113.676498 122.557495 138.113281 251.17041 ------------------------------ Transdef: Tab for variable 9 56.7117462 61.8958664 63.8262138 65.2269745 66.6867676 67.8050842 69.1336365 70.3266449 71.4639435 72.9473267 74.286377 75.5749054 76.8564529 78.2208939 79.3865051 80.6640625 81.991333 83.4806595 84.8986816 86.0751266 87.3919067 88.3802948 89.730629 90.7838516 91.9977722 93.303833 94.3663864 95.6346741 96.8491058 97.8459854 99.1897278 100.369354 101.772736 103.151085 104.18679 105.38652 106.532883 107.720802 108.465904 109.603058 110.803894 111.907829 113.058884 114.168732 115.187065 116.352768 117.571228 118.626923 119.533844 120.735603 121.573456 122.653152 123.87439 124.807152 126.27327 127.232063 127.902481 128.877686 129.842361 130.997742 131.857452 133.001038 133.884491 134.947388 135.976379 136.841156 137.630035 138.484146 139.474365 140.568085 141.5672 142.59758 143.591461 144.736465 145.909302 147.020844 148.221115 149.183289 150.250717 151.504547 152.769623 154.37085 156.094498 157.534424 159.012558 160.914185 162.64624 164.31366 165.555023 167.020203 169.21225 171.22464 173.720642 176.1866 179.590652 183.047226 186.451355 192.874756 200.117035 214.382126 382.729065 ------------------------------ Transdef: Tab for variable 10 0.0517990664 1.02507567 1.29963553 1.51289177 1.67153919 1.77104628 1.87709236 1.94446373 2.03100872 2.09421277 2.14595604 2.20281076 2.24065185 2.28533649 2.32260656 2.3634305 2.3891921 2.42443943 2.45639873 2.48207951 2.50772405 2.53845263 2.56671715 2.59510517 2.61548281 2.63571262 2.65746021 2.67354202 2.69600105 2.71031213 2.7229991 2.74048901 2.76091528 2.77638817 2.79107332 2.80375051 2.81553984 2.82881093 2.83957386 2.85094547 2.86274719 2.87427139 2.88492537 2.89212275 2.90098381 2.91056204 2.91920447 2.92816257 2.93528008 2.94316196 2.95058298 2.95826769 2.96471095 2.97221613 2.97745895 2.98408604 2.98969698 2.99654102 3.00243044 3.0080061 3.01255393 3.01753354 3.02303791 3.02895832 3.03303432 3.03614807 3.03984547 3.04377365 3.04745579 3.0512948 3.05483937 3.05863667 3.06247282 3.06547642 3.06877565 3.07146716 3.07452607 3.0776217 3.08041668 3.08418036 3.0869298 3.08966255 3.09307194 3.09582996 3.09800959 3.10058165 3.10371852 3.10632324 3.10984707 3.1123476 3.11515903 3.11790776 3.12048435 3.12298155 3.12526965 3.12804294 3.13124418 3.13386655 3.13627195 3.13900185 3.14156747 ------------------------------ Transdef: Tab for variable 11 5.38825989E-05 0.00776353478 0.0161342919 0.0240745842 0.0303475857 0.0384458303 0.0457383394 0.0533002615 0.0603173375 0.0678913593 0.0742639303 0.0817112923 0.0876900405 0.0947409868 0.101369411 0.106090784 0.111163348 0.116884708 0.123462915 0.12856257 0.133984983 0.139778137 0.14480865 0.149167836 0.155154467 0.160904408 0.166363791 0.171557605 0.176986456 0.182131439 0.186856508 0.191655397 0.19641906 0.201620162 0.206138849 0.209882215 0.213350773 0.217721328 0.221516788 0.225721002 0.229450226 0.234029323 0.237633586 0.241624624 0.246279791 0.249815911 0.254006147 0.257712603 0.262395382 0.266865969 0.271220684 0.275439441 0.279890418 0.284461558 0.289376438 0.293516397 0.296519846 0.301414341 0.30594632 0.310788631 0.315988421 0.321090937 0.325623631 0.330868065 0.334961772 0.340425164 0.345822096 0.351145625 0.356608272 0.360905051 0.367420197 0.373238683 0.379508018 0.385492444 0.391520858 0.398527741 0.404588819 0.410528213 0.416897595 0.422643721 0.430948496 0.437548399 0.443760991 0.450810552 0.457799792 0.466887772 0.477444887 0.487405062 0.499516964 0.50840795 0.521833658 0.534108579 0.548672855 0.566975713 0.586903393 0.613238454 0.64260006 0.671121716 0.72410655 0.804824591 1.08510637 ------------------------------ Transdef: Tab for variable 12 0.200125054 0.206652001 0.21056354 0.216701776 0.221397772 0.226203233 0.231095165 0.235767365 0.242141262 0.246833384 0.251472473 0.255815685 0.260255516 0.264557809 0.268681586 0.272641659 0.277235806 0.281413794 0.28603223 0.290279895 0.294503272 0.299190432 0.303809464 0.307898343 0.311720252 0.316654652 0.320702374 0.324594498 0.327632964 0.330980539 0.3340424 0.338516861 0.342373103 0.346287906 0.349398792 0.353192508 0.356906742 0.36039412 0.364721179 0.367733806 0.371650338 0.375175774 0.379173696 0.3836191 0.387388587 0.391497731 0.394982725 0.398374677 0.402733684 0.406566024 0.410336614 0.413463831 0.416896015 0.420333833 0.424177647 0.428109527 0.431680322 0.436384916 0.440292329 0.444287241 0.448115289 0.452662826 0.456633806 0.460868865 0.464798808 0.469398677 0.473388612 0.47749871 0.482242823 0.487205923 0.492374092 0.4966636 0.501780629 0.50858134 0.51453352 0.519462824 0.525151432 0.531021535 0.537115812 0.54322964 0.550457716 0.55748415 0.56573689 0.572520733 0.581333995 0.590833783 0.600793481 0.612170637 0.622750282 0.632535219 0.645482779 0.65762341 0.672681689 0.686342955 0.70093137 0.722783208 0.751376033 0.780995607 0.823732018 0.883833408 1.116027 ------------------------------ Transdef: Tab for variable 13 20.0516586 21.3633842 22.1906433 22.8344345 23.5385742 24.2262764 24.6947861 24.9898834 25.5326939 26.0638809 26.4916325 26.9174194 27.3205414 27.7225418 28.1897354 28.5379829 28.9469299 29.4394035 29.7811546 30.1541252 30.4831505 30.844923 31.1743774 31.4750404 31.8467827 32.247612 32.5354919 32.9624672 33.2616272 33.5174904 33.9224091 34.348114 34.7290344 35.0694199 35.4343948 35.8013458 36.2015533 36.5491562 36.9303703 37.2933578 37.5702477 37.8937225 38.2363052 38.5685005 38.9164734 39.3067474 39.646904 40.1212807 40.4580078 40.8450928 41.1584473 41.5743332 41.9700165 42.3917007 42.7054749 43.1097565 43.6651382 44.0081711 44.5321579 45.0194855 45.4334259 45.973175 46.4799194 47.0241013 47.5262909 48.005024 48.5718231 49.0584831 49.7341003 50.2990952 50.9113693 51.4346466 52.1861725 52.8058319 53.4925232 54.1454506 55.006424 55.777977 56.5691299 57.5843811 58.5171509 59.3692932 60.3689499 61.4254303 62.5019493 63.7887192 64.7767181 65.8832626 66.9366913 68.1931686 69.4218292 70.7296448 72.1162567 73.4929504 75.5587082 78.7414398 81.5473099 85.8883667 92.0956726 101.073486 201.326797 ------------------------------ Transdef: Tab for variable 14 10.0171022 10.7371197 11.347683 11.700346 12.0403461 12.3721905 12.7217312 13.0165768 13.3180923 13.6111012 13.993824 14.3417435 14.6680183 14.990036 15.2583351 15.5469208 15.838666 16.0793037 16.3905182 16.6943626 16.9569187 17.2112293 17.4531326 17.7664375 18.0401421 18.2765923 18.5443516 18.8660259 19.1274166 19.3676052 19.5828266 19.8618622 20.1708336 20.4258957 20.6793671 20.8953247 21.0922279 21.3388443 21.582737 21.7637215 21.9877129 22.2061634 22.3778648 22.5847855 22.7499084 22.9270172 23.1082878 23.2924995 23.4697609 23.636898 23.8048363 24.0129166 24.1937256 24.3803787 24.640007 24.8838825 25.1025543 25.316433 25.4782867 25.7346325 25.9608498 26.18466 26.430563 26.665226 26.9275608 27.1502304 27.4293499 27.6029243 27.7870865 28.0157948 28.3079338 28.5286045 28.8131294 29.1273422 29.3729935 29.6655979 29.9498024 30.2793503 30.6051483 30.9358444 31.3074722 31.6451111 31.9973602 32.3780251 32.8746643 33.427803 33.9092407 34.3560867 34.8170624 35.4173317 36.0518112 36.847908 37.5069656 38.295105 39.3601303 40.6043282 41.7607613 43.4132195 45.9815521 50.6284103 83.8169479 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 54.0 39.2 34.2 29.9 44.8 48.8 43.5 53.1 -17.2 -17.0 -26.8 35.7 29.4 2 54.0 100.0 66.5 49.1 38.2 71.1 94.7 72.9 89.7 -40.4 -27.4 -44.3 61.5 42.2 3 39.2 66.5 100.0 35.8 19.9 42.5 66.0 56.2 76.8 -4.1 -30.4 -52.2 93.6 30.9 4 34.2 49.1 35.8 100.0 7.7 26.7 51.0 35.7 51.2 -7.8 -28.8 -50.4 33.8 90.8 5 29.9 38.2 19.9 7.7 100.0 86.2 9.4 64.3 62.6 30.1 -8.6 -10.1 18.2 5.9 6 44.8 71.1 42.5 26.7 86.2 100.0 48.6 81.2 83.4 1.8 -17.5 -26.0 39.1 22.5 7 48.8 94.7 66.0 51.0 9.4 48.6 100.0 60.2 76.3 -52.5 -27.0 -45.4 61.2 44.4 8 43.5 72.9 56.2 35.7 64.3 81.2 60.2 100.0 83.9 0.4 -24.2 -37.2 52.2 31.0 9 53.1 89.7 76.8 51.2 62.6 83.4 76.3 83.9 100.0 -8.8 -29.7 -48.7 71.5 44.5 10 -17.2 -40.4 -4.1 -7.8 30.1 1.8 -52.5 0.4 -8.8 100.0 3.0 3.4 -2.9 -6.5 11 -17.0 -27.4 -30.4 -28.8 -8.6 -17.5 -27.0 -24.2 -29.7 3.0 100.0 56.4 -27.5 -27.0 12 -26.8 -44.3 -52.2 -50.4 -10.1 -26.0 -45.4 -37.2 -48.7 3.4 56.4 100.0 -48.3 -43.4 13 35.7 61.5 93.6 33.8 18.2 39.1 61.2 52.2 71.5 -2.9 -27.5 -48.3 100.0 36.9 14 29.4 42.2 30.9 90.8 5.9 22.5 44.4 31.0 44.5 -6.5 -27.0 -43.4 36.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 138.07994 TOTAL CORRELATION OF ALL VARIABLES 56.7605839 ROUND 1: MAX CORR ( 56.7595468) AFTER KILLING INPUT VARIABLE 8 CONTR 0.34312733 ROUND 2: MAX CORR ( 56.7579768) AFTER KILLING INPUT VARIABLE 11 CONTR 0.422163904 ROUND 3: MAX CORR ( 56.7550981) AFTER KILLING INPUT VARIABLE 14 CONTR 0.571640617 ROUND 4: MAX CORR ( 56.7452497) AFTER KILLING INPUT VARIABLE 6 CONTR 1.05725584 ROUND 5: MAX CORR ( 56.7290584) AFTER KILLING INPUT VARIABLE 12 CONTR 1.35546932 ROUND 6: MAX CORR ( 56.7120423) AFTER KILLING INPUT VARIABLE 7 CONTR 1.38936411 ROUND 7: MAX CORR ( 56.6853859) AFTER KILLING INPUT VARIABLE 13 CONTR 1.73860789 ROUND 8: MAX CORR ( 56.428355) AFTER KILLING INPUT VARIABLE 9 CONTR 5.39200638 ROUND 9: MAX CORR ( 56.088885) AFTER KILLING INPUT VARIABLE 10 CONTR 6.18030972 ROUND 10: MAX CORR ( 55.8794954) AFTER KILLING INPUT VARIABLE 3 CONTR 4.84200473 ROUND 11: MAX CORR ( 54.9125259) AFTER KILLING INPUT VARIABLE 4 CONTR 10.3504835 ROUND 12: MAX CORR ( 53.9908626) AFTER KILLING INPUT VARIABLE 5 CONTR 10.0185952 LAST REMAINING VARIABLE: 2 total correlation to target: 56.7605839 % total significance: 38.8733393 sigma correlations of single variables to target: variable 2: 53.9908626 % , in sigma: 36.9764541 variable 3: 39.2102608 % , in sigma: 26.8537367 variable 4: 34.2146717 % , in sigma: 23.4324324 variable 5: 29.8914943 % , in sigma: 20.4716393 variable 6: 44.8443543 % , in sigma: 30.7123303 variable 7: 48.7999548 % , in sigma: 33.4213828 variable 8: 43.5155113 % , in sigma: 29.8022522 variable 9: 53.129238 % , in sigma: 36.3863575 variable 10: -17.1699911 % , in sigma: 11.7591266 variable 11: -17.0267274 % , in sigma: 11.6610103 variable 12: -26.7662133 % , in sigma: 18.3312436 variable 13: 35.7277965 % , in sigma: 24.4687186 variable 14: 29.3781538 % , in sigma: 20.1200703 variables sorted by significance: 1 most relevant variable 2 corr 53.9908638 , in sigma: 36.9764549 2 most relevant variable 5 corr 10.0185957 , in sigma: 6.8613859 3 most relevant variable 4 corr 10.3504839 , in sigma: 7.08868452 4 most relevant variable 3 corr 4.84200478 , in sigma: 3.31611977 5 most relevant variable 10 corr 6.18030977 , in sigma: 4.23267807 6 most relevant variable 9 corr 5.3920064 , in sigma: 3.69279665 7 most relevant variable 13 corr 1.73860788 , in sigma: 1.19071175 8 most relevant variable 7 corr 1.38936412 , in sigma: 0.95152691 9 most relevant variable 12 corr 1.35546935 , in sigma: 0.928313562 10 most relevant variable 6 corr 1.05725586 , in sigma: 0.724077575 11 most relevant variable 14 corr 0.571640611 , in sigma: 0.391496667 12 most relevant variable 11 corr 0.422163904 , in sigma: 0.289125297 13 most relevant variable 8 corr 0.34312734 , in sigma: 0.234995918 global correlations between input variables: variable 2: 99.5232146 % variable 3: 97.1604875 % variable 4: 94.5250188 % variable 5: 96.7215117 % variable 6: 96.0644578 % variable 7: 99.2739685 % variable 8: 89.4961631 % variable 9: 99.0751509 % variable 10: 76.3446309 % variable 11: 57.2644352 % variable 12: 72.5381515 % variable 13: 95.4217497 % variable 14: 93.4679277 % significance loss when removing single variables: variable 2: corr = 3.11112088 % , sigma = 2.13069791 variable 3: corr = 6.17810754 % , sigma = 4.23116984 variable 4: corr = 6.64143754 % , sigma = 4.54848836 variable 5: corr = 8.06630587 % , sigma = 5.52433086 variable 6: corr = 1.11563949 % , sigma = 0.764062479 variable 7: corr = 1.51847688 % , sigma = 1.03995172 variable 8: corr = 0.34312733 % , sigma = 0.234995911 variable 9: corr = 4.67420777 % , sigma = 3.20120147 variable 10: corr = 5.14648355 % , sigma = 3.52464664 variable 11: corr = 0.438528311 % , sigma = 0.300332708 variable 12: corr = 1.40591854 % , sigma = 0.962864451 variable 13: corr = 1.20365099 % , sigma = 0.824338478 variable 14: corr = 0.604387048 % , sigma = 0.413923558 Keep only 5 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 6 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 6.16476345 sigma out 15 active outputs RANK 2 NODE 5 --> 5.83119535 sigma out 15 active outputs RANK 3 NODE 3 --> 5.31292915 sigma out 15 active outputs RANK 4 NODE 2 --> 4.68861723 sigma out 15 active outputs RANK 5 NODE 1 --> 4.29018402 sigma out 15 active outputs RANK 6 NODE 6 --> 2.5217135 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 7.38995266 sigma in 6act. ( 7.38244486 sig out 1act.) RANK 2 NODE 9 --> 4.72786093 sigma in 6act. ( 4.93798304 sig out 1act.) RANK 3 NODE 13 --> 4.20898914 sigma in 6act. ( 4.81628275 sig out 1act.) RANK 4 NODE 14 --> 3.74677467 sigma in 6act. ( 3.75513053 sig out 1act.) RANK 5 NODE 6 --> 3.02670288 sigma in 6act. ( 3.04189801 sig out 1act.) RANK 6 NODE 4 --> 2.59949946 sigma in 6act. ( 2.53120375 sig out 1act.) RANK 7 NODE 2 --> 2.39033604 sigma in 6act. ( 2.20980215 sig out 1act.) RANK 8 NODE 3 --> 2.2700088 sigma in 6act. ( 2.36523604 sig out 1act.) RANK 9 NODE 10 --> 2.03819442 sigma in 6act. ( 2.08084559 sig out 1act.) RANK 10 NODE 12 --> 1.45484674 sigma in 6act. ( 1.37187707 sig out 1act.) RANK 11 NODE 15 --> 1.35988224 sigma in 6act. ( 1.21824217 sig out 1act.) RANK 12 NODE 7 --> 1.05396736 sigma in 6act. ( 1.09803748 sig out 1act.) RANK 13 NODE 1 --> 0.918753564 sigma in 6act. ( 0.502202392 sig out 1act.) RANK 14 NODE 5 --> 0.876570344 sigma in 6act. ( 0.53002882 sig out 1act.) RANK 15 NODE 11 --> 0.797395825 sigma in 6act. ( 0.606526673 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 7.38244486 sigma out 1act.( 7.38995266 sig in 6act.) RANK 2 NODE 9 --> 4.93798304 sigma out 1act.( 4.72786093 sig in 6act.) RANK 3 NODE 13 --> 4.81628275 sigma out 1act.( 4.20898914 sig in 6act.) RANK 4 NODE 14 --> 3.75513053 sigma out 1act.( 3.74677467 sig in 6act.) RANK 5 NODE 6 --> 3.04189801 sigma out 1act.( 3.02670288 sig in 6act.) RANK 6 NODE 4 --> 2.53120375 sigma out 1act.( 2.59949946 sig in 6act.) RANK 7 NODE 3 --> 2.36523604 sigma out 1act.( 2.2700088 sig in 6act.) RANK 8 NODE 2 --> 2.20980215 sigma out 1act.( 2.39033604 sig in 6act.) RANK 9 NODE 10 --> 2.08084559 sigma out 1act.( 2.03819442 sig in 6act.) RANK 10 NODE 12 --> 1.37187707 sigma out 1act.( 1.45484674 sig in 6act.) RANK 11 NODE 15 --> 1.21824217 sigma out 1act.( 1.35988224 sig in 6act.) RANK 12 NODE 7 --> 1.09803748 sigma out 1act.( 1.05396736 sig in 6act.) RANK 13 NODE 11 --> 0.606526673 sigma out 1act.( 0.797395825 sig in 6act.) RANK 14 NODE 5 --> 0.53002882 sigma out 1act.( 0.876570344 sig in 6act.) RANK 15 NODE 1 --> 0.502202392 sigma out 1act.( 0.918753564 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.3337841 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 16.1865654 sigma out 15 active outputs RANK 2 NODE 1 --> 8.60309696 sigma out 15 active outputs RANK 3 NODE 4 --> 7.53325891 sigma out 15 active outputs RANK 4 NODE 3 --> 7.44609451 sigma out 15 active outputs RANK 5 NODE 2 --> 6.27576494 sigma out 15 active outputs RANK 6 NODE 6 --> 3.67045212 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 7.6537571 sigma in 6act. ( 3.39474487 sig out 1act.) RANK 2 NODE 8 --> 7.41383028 sigma in 6act. ( 6.70744324 sig out 1act.) RANK 3 NODE 15 --> 6.58794689 sigma in 6act. ( 2.80902958 sig out 1act.) RANK 4 NODE 9 --> 6.56989193 sigma in 6act. ( 7.95209789 sig out 1act.) RANK 5 NODE 3 --> 6.49136019 sigma in 6act. ( 3.48115182 sig out 1act.) RANK 6 NODE 5 --> 6.36823511 sigma in 6act. ( 2.0146172 sig out 1act.) RANK 7 NODE 6 --> 6.22588348 sigma in 6act. ( 3.23763084 sig out 1act.) RANK 8 NODE 2 --> 5.50826263 sigma in 6act. ( 2.97094035 sig out 1act.) RANK 9 NODE 1 --> 5.46087503 sigma in 6act. ( 1.78432596 sig out 1act.) RANK 10 NODE 10 --> 5.18594599 sigma in 6act. ( 2.95475817 sig out 1act.) RANK 11 NODE 13 --> 5.06156969 sigma in 6act. ( 5.93129635 sig out 1act.) RANK 12 NODE 4 --> 5.02812243 sigma in 6act. ( 2.84834266 sig out 1act.) RANK 13 NODE 14 --> 4.61047649 sigma in 6act. ( 2.93380952 sig out 1act.) RANK 14 NODE 12 --> 3.71397066 sigma in 6act. ( 1.61176705 sig out 1act.) RANK 15 NODE 7 --> 2.54930711 sigma in 6act. ( 1.74884129 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 7.95209789 sigma out 1act.( 6.56989193 sig in 6act.) RANK 2 NODE 8 --> 6.70744324 sigma out 1act.( 7.41383028 sig in 6act.) RANK 3 NODE 13 --> 5.93129635 sigma out 1act.( 5.06156969 sig in 6act.) RANK 4 NODE 3 --> 3.48115182 sigma out 1act.( 6.49136019 sig in 6act.) RANK 5 NODE 11 --> 3.39474487 sigma out 1act.( 7.6537571 sig in 6act.) RANK 6 NODE 6 --> 3.23763084 sigma out 1act.( 6.22588348 sig in 6act.) RANK 7 NODE 2 --> 2.97094035 sigma out 1act.( 5.50826263 sig in 6act.) RANK 8 NODE 10 --> 2.95475817 sigma out 1act.( 5.18594599 sig in 6act.) RANK 9 NODE 14 --> 2.93380952 sigma out 1act.( 4.61047649 sig in 6act.) RANK 10 NODE 4 --> 2.84834266 sigma out 1act.( 5.02812243 sig in 6act.) RANK 11 NODE 15 --> 2.80902958 sigma out 1act.( 6.58794689 sig in 6act.) RANK 12 NODE 5 --> 2.0146172 sigma out 1act.( 6.36823511 sig in 6act.) RANK 13 NODE 1 --> 1.78432596 sigma out 1act.( 5.46087503 sig in 6act.) RANK 14 NODE 7 --> 1.74884129 sigma out 1act.( 2.54930711 sig in 6act.) RANK 15 NODE 12 --> 1.61176705 sigma out 1act.( 3.71397066 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 15.251152 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.512353539 *** contribution from regularisation: 0.0122463712 *** contribution from error: -0.52459991 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.55498445 *** contribution from regularisation: 0.00384871266 *** contribution from error: -0.558833182 *********************************************** -----------------> Test sample ENTER BFGS code START -10073.1178 -0.839005232 0.0259827077 EXIT FROM BFGS code FG_START 0. -0.839005232 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.561025143 *** contribution from regularisation: 0.00373256742 *** contribution from error: -0.564757705 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -10180.9234 -0.839005232 3.28911686 EXIT FROM BFGS code FG_LNSRCH 0. -0.822644591 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.554345429 *** contribution from regularisation: 0.00609557889 *** contribution from error: -0.560441017 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10059.7067 -0.822644591 8.92965126 EXIT FROM BFGS code FG_LNSRCH 0. -0.834989429 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.563803494 *** contribution from regularisation: 0.00500864116 *** contribution from error: -0.568812132 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10231.3416 -0.834989429 5.52634287 EXIT FROM BFGS code NEW_X -10231.3416 -0.834989429 5.52634287 ENTER BFGS code NEW_X -10231.3416 -0.834989429 5.52634287 EXIT FROM BFGS code FG_LNSRCH 0. -0.824998379 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.564520955 *** contribution from regularisation: 0.0048250882 *** contribution from error: -0.56934607 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10244.3615 -0.824998379 5.94167185 EXIT FROM BFGS code NEW_X -10244.3615 -0.824998379 5.94167185 ENTER BFGS code NEW_X -10244.3615 -0.824998379 5.94167185 EXIT FROM BFGS code FG_LNSRCH 0. -0.783929288 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.564938724 *** contribution from regularisation: 0.00485213194 *** contribution from error: -0.56979084 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10251.9433 -0.783929288 8.84054089 EXIT FROM BFGS code NEW_X -10251.9433 -0.783929288 8.84054089 ENTER BFGS code NEW_X -10251.9433 -0.783929288 8.84054089 EXIT FROM BFGS code FG_LNSRCH 0. -0.728049517 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.564816713 *** contribution from regularisation: 0.00493831374 *** contribution from error: -0.569755018 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10249.7292 -0.728049517 9.07557774 EXIT FROM BFGS code FG_LNSRCH 0. -0.774839282 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.564255059 *** contribution from regularisation: 0.00553934462 *** contribution from error: -0.569794416 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10239.5369 -0.774839282 7.99092579 EXIT FROM BFGS code FG_LNSRCH 0. -0.783782423 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 11.414505 sigma out 15 active outputs RANK 2 NODE 1 --> 6.39347363 sigma out 15 active outputs RANK 3 NODE 3 --> 4.4260025 sigma out 15 active outputs RANK 4 NODE 4 --> 4.07425356 sigma out 15 active outputs RANK 5 NODE 2 --> 3.66523814 sigma out 15 active outputs RANK 6 NODE 6 --> 2.34093642 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 5.5056901 sigma in 6act. ( 4.21111059 sig out 1act.) RANK 2 NODE 15 --> 4.92645836 sigma in 6act. ( 3.64791059 sig out 1act.) RANK 3 NODE 6 --> 4.61614323 sigma in 6act. ( 3.22974801 sig out 1act.) RANK 4 NODE 5 --> 4.3076539 sigma in 6act. ( 2.91462755 sig out 1act.) RANK 5 NODE 2 --> 4.24287224 sigma in 6act. ( 3.1680727 sig out 1act.) RANK 6 NODE 1 --> 4.12308693 sigma in 6act. ( 2.92621613 sig out 1act.) RANK 7 NODE 9 --> 4.09580326 sigma in 6act. ( 4.10708857 sig out 1act.) RANK 8 NODE 3 --> 4.08137274 sigma in 6act. ( 2.54110599 sig out 1act.) RANK 9 NODE 10 --> 4.04638147 sigma in 6act. ( 3.07899833 sig out 1act.) RANK 10 NODE 8 --> 3.73211694 sigma in 6act. ( 3.0369339 sig out 1act.) RANK 11 NODE 4 --> 2.9456141 sigma in 6act. ( 1.47688675 sig out 1act.) RANK 12 NODE 13 --> 2.62633777 sigma in 6act. ( 2.48284388 sig out 1act.) RANK 13 NODE 14 --> 2.61538196 sigma in 6act. ( 1.69985008 sig out 1act.) RANK 14 NODE 12 --> 2.44523168 sigma in 6act. ( 1.36806405 sig out 1act.) RANK 15 NODE 7 --> 2.16622853 sigma in 6act. ( 1.65450013 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 4.21111059 sigma out 1act.( 5.5056901 sig in 6act.) RANK 2 NODE 9 --> 4.10708857 sigma out 1act.( 4.09580326 sig in 6act.) RANK 3 NODE 15 --> 3.64791059 sigma out 1act.( 4.92645836 sig in 6act.) RANK 4 NODE 6 --> 3.22974801 sigma out 1act.( 4.61614323 sig in 6act.) RANK 5 NODE 2 --> 3.1680727 sigma out 1act.( 4.24287224 sig in 6act.) RANK 6 NODE 10 --> 3.07899833 sigma out 1act.( 4.04638147 sig in 6act.) RANK 7 NODE 8 --> 3.0369339 sigma out 1act.( 3.73211694 sig in 6act.) RANK 8 NODE 1 --> 2.92621613 sigma out 1act.( 4.12308693 sig in 6act.) RANK 9 NODE 5 --> 2.91462755 sigma out 1act.( 4.3076539 sig in 6act.) RANK 10 NODE 3 --> 2.54110599 sigma out 1act.( 4.08137274 sig in 6act.) RANK 11 NODE 13 --> 2.48284388 sigma out 1act.( 2.62633777 sig in 6act.) RANK 12 NODE 14 --> 1.69985008 sigma out 1act.( 2.61538196 sig in 6act.) RANK 13 NODE 7 --> 1.65450013 sigma out 1act.( 2.16622853 sig in 6act.) RANK 14 NODE 4 --> 1.47688675 sigma out 1act.( 2.9456141 sig in 6act.) RANK 15 NODE 12 --> 1.36806405 sigma out 1act.( 2.44523168 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.2445192 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.564803421 *** contribution from regularisation: 0.00498753041 *** contribution from error: -0.569790959 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -10249.4872 -0.783782423 8.48686123 EXIT FROM BFGS code FG_LNSRCH 0. -0.78392911 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.564658046 *** contribution from regularisation: 0.00513283256 *** contribution from error: -0.5697909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10246.8495 -0.78392911 8.21378899 EXIT FROM BFGS code FG_LNSRCH 0. -0.783929288 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.564698935 *** contribution from regularisation: 0.00509191724 *** contribution from error: -0.56979084 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10247.592 -0.783929288 8.38279915 EXIT FROM BFGS code FG_LNSRCH 0. -0.783929288 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.564642966 *** contribution from regularisation: 0.0051479172 *** contribution from error: -0.5697909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10246.5757 -0.783929288 8.43245125 EXIT FROM BFGS code FG_LNSRCH 0. -0.783929288 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.564619482 *** contribution from regularisation: 0.00517136278 *** contribution from error: -0.56979084 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10246.1503 -0.783929288 8.44870472 EXIT FROM BFGS code NEW_X -10246.1503 -0.783929288 8.44870472 ENTER BFGS code NEW_X -10246.1503 -0.783929288 8.44870472 EXIT FROM BFGS code CONVERGENC -10246.1503 -0.783929288 8.44870472 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 16.3162708 sigma out 15 active outputs RANK 2 NODE 1 --> 9.89388752 sigma out 15 active outputs RANK 3 NODE 3 --> 6.68033123 sigma out 15 active outputs RANK 4 NODE 4 --> 6.39726877 sigma out 15 active outputs RANK 5 NODE 2 --> 5.67331362 sigma out 15 active outputs RANK 6 NODE 6 --> 3.55287027 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 8.00631142 sigma in 6act. ( 7.6471343 sig out 1act.) RANK 2 NODE 15 --> 7.32425594 sigma in 6act. ( 6.45264864 sig out 1act.) RANK 3 NODE 6 --> 7.07935143 sigma in 6act. ( 5.67025137 sig out 1act.) RANK 4 NODE 9 --> 7.07736349 sigma in 6act. ( 6.67734146 sig out 1act.) RANK 5 NODE 2 --> 6.5916996 sigma in 6act. ( 5.49403048 sig out 1act.) RANK 6 NODE 10 --> 6.27101612 sigma in 6act. ( 5.1970787 sig out 1act.) RANK 7 NODE 8 --> 6.01456356 sigma in 6act. ( 5.1807909 sig out 1act.) RANK 8 NODE 1 --> 5.97431183 sigma in 6act. ( 5.09752321 sig out 1act.) RANK 9 NODE 5 --> 5.7536478 sigma in 6act. ( 5.20851898 sig out 1act.) RANK 10 NODE 3 --> 5.3040843 sigma in 6act. ( 4.60578251 sig out 1act.) RANK 11 NODE 13 --> 3.99603581 sigma in 6act. ( 4.07347584 sig out 1act.) RANK 12 NODE 4 --> 3.68311954 sigma in 6act. ( 2.54017162 sig out 1act.) RANK 13 NODE 14 --> 3.4739759 sigma in 6act. ( 2.90723991 sig out 1act.) RANK 14 NODE 12 --> 3.08919883 sigma in 6act. ( 2.26726723 sig out 1act.) RANK 15 NODE 7 --> 3.08095384 sigma in 6act. ( 2.47972059 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 7.6471343 sigma out 1act.( 8.00631142 sig in 6act.) RANK 2 NODE 9 --> 6.67734146 sigma out 1act.( 7.07736349 sig in 6act.) RANK 3 NODE 15 --> 6.45264864 sigma out 1act.( 7.32425594 sig in 6act.) RANK 4 NODE 6 --> 5.67025137 sigma out 1act.( 7.07935143 sig in 6act.) RANK 5 NODE 2 --> 5.49403048 sigma out 1act.( 6.5916996 sig in 6act.) RANK 6 NODE 5 --> 5.20851898 sigma out 1act.( 5.7536478 sig in 6act.) RANK 7 NODE 10 --> 5.1970787 sigma out 1act.( 6.27101612 sig in 6act.) RANK 8 NODE 8 --> 5.1807909 sigma out 1act.( 6.01456356 sig in 6act.) RANK 9 NODE 1 --> 5.09752321 sigma out 1act.( 5.97431183 sig in 6act.) RANK 10 NODE 3 --> 4.60578251 sigma out 1act.( 5.3040843 sig in 6act.) RANK 11 NODE 13 --> 4.07347584 sigma out 1act.( 3.99603581 sig in 6act.) RANK 12 NODE 14 --> 2.90723991 sigma out 1act.( 3.4739759 sig in 6act.) RANK 13 NODE 4 --> 2.54017162 sigma out 1act.( 3.68311954 sig in 6act.) RANK 14 NODE 7 --> 2.47972059 sigma out 1act.( 3.08095384 sig in 6act.) RANK 15 NODE 12 --> 2.26726723 sigma out 1act.( 3.08919883 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 19.4422855 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.564592063 *** contribution from regularisation: 0.0051987851 *** contribution from error: -0.56979084 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23570 Closing output file done