NNInput NNInputs_110.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= 39724 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 = 9280 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 9280 Chosen entries: 9280 Signal fraction: 1 Background fraction: 0.304822 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 9280 Entries to split: 9280 Test with : 4640 Train with : 4640 ********************************************* * 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= 9280 for Signal Prepared event 0 for Signal with 9280 events ====Entry 0 Variable Ht : 139.746 Variable LepAPt : 21.4114 Variable LepBPt : 14.6264 Variable MetSigLeptonsJets : 9.61124 Variable MetSpec : 76.4595 Variable SumEtLeptonsJets : 63.2854 Variable VSumJetLeptonsPt : 62.541 Variable addEt : 112.498 Variable dPhiLepSumMet : 3.04221 Variable dPhiLeptons : 0.331986 Variable dRLeptons : 0.41662 Variable lep1_E : 21.4339 Variable lep2_E : 14.9393 ===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 = 2110 Ht = 139.746 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 21.4118 LepAPt = 21.4114 LepBEt = 14.6271 LepBPt = 14.6264 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 76.4595 MetDelPhi = 2.84468 MetSig = 6.59639 MetSigLeptonsJets = 9.61124 MetSpec = 76.4595 Mjj = 0 MostCentralJetEta = 2.3764 MtllMet = 112.814 Njets = 1 SB = 0 SumEt = 134.354 SumEtJets = 0 SumEtLeptonsJets = 63.2854 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 62.541 addEt = 112.498 dPhiLepSumMet = 3.04221 dPhiLeptons = 0.331986 dRLeptons = 0.41662 diltype = 17 dimass = 7.36393 event = 705 jet1_Et = 27.2476 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 21.4339 lep2_E = 14.9393 rand = 0.999742 run = 229790 weight = 3.66755e-07 ===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 = 1.11306 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 1033 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 39724 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 1033 negative weights. Signal fraction: 62.8434486 % ------------------------------ 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 56.0800056 62.1883278 64.1547241 66.004303 67.8037567 68.9107285 70.3673248 71.5660553 73.0685577 74.3845825 75.6074371 76.8227081 78.0279083 79.1187439 80.2547379 81.4601212 82.5151901 83.6379547 84.6337051 85.6607513 86.589386 87.4391785 88.2576447 89.1413574 90.0132446 90.7730713 91.5655823 92.3227539 93.2592773 94.0989838 94.9607544 95.677803 96.195343 96.8155365 97.4959869 98.192215 98.7856293 99.4216461 99.9971542 100.593262 101.343964 102.067963 102.819122 103.603989 104.267197 104.906403 105.763733 106.453781 107.380264 108.328674 109.210831 110.027718 110.922699 111.967209 113.051926 114.300568 115.459106 116.893867 118.078941 119.456886 120.808334 121.948425 123.112961 124.299927 125.625183 127.043991 128.240417 129.461334 130.732056 132.447006 133.765503 135.378876 136.923065 138.495468 140.066071 141.684967 143.364853 145.226318 147.024063 148.836182 150.810822 153.33902 155.756729 158.301697 160.755676 163.954697 167.019196 170.801178 174.56044 179.054626 183.798889 188.845642 195.409302 202.101761 212.64679 221.433136 232.725433 245.559586 265.723938 302.106659 679.506348 ------------------------------ Transdef: Tab for variable 3 20.0021973 20.3555832 20.6987648 21.0859489 21.4090576 21.6651859 21.9985352 22.3101158 22.5793304 22.8949718 23.1717968 23.4531441 23.7443733 24.0803909 24.298069 24.5604095 24.8266907 25.1062775 25.3629341 25.5927105 25.848959 26.0786266 26.2773323 26.5522575 26.7443504 26.9878311 27.2579346 27.5066662 27.7315292 27.9423256 28.1358299 28.3752708 28.6133614 28.7960434 28.978241 29.2481422 29.4823399 29.7233276 29.9728661 30.2068939 30.4342041 30.6494122 30.873167 31.1204338 31.3472443 31.5709343 31.8370171 32.0481758 32.2357254 32.4716187 32.6791 32.9149017 33.1755066 33.4048157 33.6258316 33.9030533 34.1261597 34.3702774 34.6530991 34.9263763 35.1546555 35.4542236 35.7337151 35.9876938 36.2290382 36.5182266 36.812439 37.1628571 37.4835129 37.8240089 38.1629295 38.4714127 38.8550873 39.1846008 39.6097755 40.0405922 40.4661064 40.9326172 41.3761215 41.9071274 42.3424606 42.8806381 43.5517426 43.9625854 44.5969238 45.4028931 46.1548538 47.0831604 48.0232391 49.1062927 50.1322861 51.5147934 52.8712234 54.5606461 56.6275558 58.9126205 62.3363228 66.1365814 71.5757599 83.6198196 160.265121 ------------------------------ Transdef: Tab for variable 4 10.0010262 10.100091 10.2254076 10.3229828 10.4355698 10.5465965 10.6409521 10.7811623 10.9169731 11.0183678 11.1406021 11.2482586 11.3482552 11.4706306 11.5847569 11.6990089 11.808629 11.9122887 12.0490322 12.1951056 12.2967491 12.4093256 12.5515652 12.658803 12.7635765 12.8753023 12.9831848 13.1265678 13.2474289 13.3845501 13.5062685 13.6389771 13.7643652 13.9008484 14.0243359 14.1816559 14.3389282 14.5121136 14.6660118 14.7875328 14.9218788 15.0553408 15.2105827 15.358861 15.497221 15.6181822 15.7720499 15.9649019 16.127058 16.287941 16.4632206 16.6058807 16.7682037 16.9577332 17.1714783 17.3418388 17.5326118 17.6874123 17.8847122 18.0873833 18.2458439 18.4289951 18.619545 18.8399582 19.0338135 19.2150459 19.4041557 19.6163788 19.8592606 20.055645 20.2461052 20.4290199 20.6252365 20.8109016 21.0142174 21.207222 21.4187584 21.6025639 21.8572426 22.065567 22.2993813 22.5917454 22.8199978 23.1185894 23.4703045 23.7937927 24.0591888 24.4319801 24.8010311 25.2687302 25.7802429 26.2432785 26.7035904 27.3570156 28.2747116 28.9921761 30.2189217 31.8154335 33.557663 36.6747856 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.55223811 2.41710472 2.67423248 2.86414957 3.00981379 3.14023566 3.27720857 3.39222956 3.51452875 3.61399794 3.71670818 3.79212976 3.87663889 3.94631791 4.01272774 4.08256292 4.14225054 4.2134161 4.27500677 4.33112955 4.4013586 4.4515481 4.51904774 4.57169914 4.64280224 4.70447922 4.76069403 4.81929636 4.88857985 4.9525156 5.01661777 5.0778265 5.14946175 5.21275139 5.27460289 5.33061218 5.38925886 5.45447254 5.51497316 5.5628829 5.62075281 5.66170979 5.71513653 5.76863241 5.81436634 5.86491108 5.92635012 5.97651672 6.01949978 6.06216002 6.10275459 6.15363264 6.20821476 6.24416065 6.28659821 6.33626366 6.38740921 6.42932749 6.46242046 6.51049471 6.55341816 6.59732962 6.64542294 6.68792629 6.7335701 6.78052902 6.82479286 6.87646103 6.91958427 6.96122551 7.006423 7.04756832 7.09559059 7.14086914 7.18230915 7.22534657 7.28475857 7.33367395 7.38067055 7.42932129 7.48035955 7.53268528 7.59831572 7.67173767 7.73537254 7.8099246 7.87050152 7.93660164 8.02101707 8.10463428 8.18382168 8.27702618 8.40039062 8.5140667 8.64658928 8.76638222 8.94885063 9.1788311 9.51297188 10.0839233 15.0165958 ------------------------------ Transdef: Tab for variable 6 25.0020657 25.3332844 25.6154861 25.9669456 26.4322243 26.7477303 27.1110725 27.4075775 27.7662964 28.1519184 28.5152359 28.9952393 29.4740372 29.9105377 30.5646896 30.9789619 31.4826279 32.0178528 32.6249428 33.0125008 33.466217 33.976635 34.4583282 34.9840965 35.4583511 35.965538 36.3739014 36.8520813 37.3402557 37.7894592 38.2588348 38.6709747 39.0884857 39.5368767 40.0203171 40.4906006 40.8246841 41.2355461 41.6030502 41.9263687 42.3185539 42.8010025 43.2172546 43.568676 43.8628197 44.1833038 44.5184021 44.9309502 45.2697563 45.5650368 45.9142036 46.2312698 46.531395 46.9401321 47.332283 47.7183838 48.0876617 48.3774338 48.7154503 49.1177673 49.4853134 49.9400978 50.3488464 50.6861343 51.1365509 51.4469528 51.8734589 52.329174 52.6500816 53.1143265 53.5728836 54.0562782 54.5779915 55.0738335 55.4929733 56.0195503 56.5308151 57.1103592 57.7250748 58.3228569 58.9689903 59.6514969 60.4365616 61.2280884 61.9495354 62.8570557 63.7976456 64.8134918 65.9561005 67.2880173 68.4631424 69.9095383 71.5050507 73.2140732 75.0283432 77.2299423 80.5529404 83.7859421 89.509552 101.111336 218.598831 ------------------------------ Transdef: Tab for variable 7 30.188549 33.2294388 34.4917145 35.5861893 36.3603554 37.0469513 37.6917725 38.4525757 39.0829544 39.6130486 40.1563339 40.7351913 41.1800957 41.6301193 42.0359344 42.4937935 42.9157791 43.3697739 43.8166275 44.2789536 44.6987686 45.0943146 45.6365395 46.0953751 46.4653931 46.8283768 47.2875366 47.7876968 48.3387146 48.7207413 49.1307487 49.5819626 50.0121231 50.4097595 50.8095779 51.1866608 51.5502243 52.0116425 52.496769 52.9334602 53.3774376 53.8406715 54.3860168 54.9339981 55.452919 55.9760818 56.6239471 57.2406387 57.9272614 58.8335266 59.668663 60.7244492 61.6447678 62.4479294 63.4163094 64.2986221 65.1024628 65.9481506 66.8890533 67.6753693 68.7281799 69.8493652 70.8626404 71.7414398 72.7668304 73.8169632 74.6085358 75.8688049 76.9736633 78.3470993 79.558075 80.8949432 82.1159973 83.7297516 84.9585495 86.6360626 88.6099091 90.3003693 92.3752441 94.2504425 96.1518021 98.4685516 100.453133 102.573868 104.870468 107.610565 110.497978 113.649094 117.130501 120.945244 125.885284 130.550385 135.938141 141.825165 148.549103 156.27951 165.50174 178.977966 193.671799 221.109253 509.007538 ------------------------------ Transdef: Tab for variable 8 4.8277607 20.7882576 25.5000725 28.583416 30.2584324 31.2945404 32.2220764 32.8753204 33.4847794 34.1736946 34.7268066 35.3645401 35.7298393 36.2218094 36.7152786 37.13797 37.599556 38.0549774 38.4310455 38.806366 39.1899033 39.5486526 39.8924484 40.2829399 40.5921326 40.9277039 41.1736374 41.5363922 41.8322372 42.1100197 42.4301987 42.7637596 43.0779648 43.4788246 43.7720566 44.0428238 44.3630447 44.6910934 44.9780807 45.3237915 45.6712723 45.9646797 46.3053665 46.5725937 46.9218369 47.2242546 47.5883789 47.8958168 48.1994247 48.4926186 48.8064728 49.0775681 49.3294067 49.6044617 49.9937706 50.2584572 50.5821838 50.8491287 51.1570969 51.5031242 51.8269653 52.160141 52.5098495 52.8508301 53.1797562 53.5676346 53.95327 54.3427887 54.8199539 55.2487373 55.6976967 56.1663895 56.5680923 57.1044769 57.6633492 58.2813644 58.7942276 59.3802338 60.1704597 60.8598709 61.5352783 62.30867 63.1683426 63.830864 64.7575684 65.6230316 66.5477448 67.70784 68.9770889 70.2944794 71.6890182 73.1419144 74.8591156 76.6492462 78.7483368 81.502121 84.7671204 90.0272827 95.9191742 110.72348 289.322327 ------------------------------ Transdef: Tab for variable 9 56.0800056 61.572216 63.4792137 65.1217957 66.4347534 67.8161316 68.7376862 69.7810059 70.627449 71.6441116 72.7728729 73.7169647 74.8010635 75.7827454 76.6398392 77.4617767 78.3580627 79.1313095 79.9660492 80.79599 81.6762848 82.4850082 83.3131256 84.029007 84.5681992 85.3310776 85.9563522 86.6120758 87.1423492 87.7814026 88.3061066 88.889679 89.4271393 90.0959167 90.6990356 91.1642609 91.678566 92.3136139 92.9471207 93.4758987 94.0440521 94.7077026 95.2576294 95.7976532 96.1961899 96.6657104 97.1250305 97.5789185 98.0292511 98.4723511 98.9443741 99.402832 99.8320007 100.309647 100.73732 101.315475 101.903168 102.360428 102.83606 103.319771 103.777046 104.324623 104.88356 105.458855 106.002472 106.489502 107.09671 107.680099 108.332481 108.934883 109.694168 110.384506 111.075485 111.841064 112.576363 113.445183 114.256683 115.18248 116.11042 117.162697 118.347961 119.603043 120.8517 122.271317 123.780609 125.229866 126.866203 128.710281 130.550385 132.453003 134.439362 136.999695 139.5961 142.683899 146.201843 149.885559 154.959885 161.945221 172.193909 193.051514 379.21344 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.850112081 1.03612566 1.20342851 1.31973863 1.42669106 1.52207518 1.60963416 1.70104408 1.76546741 1.83353686 1.88801539 1.94693434 2.01994085 2.07633042 2.12308693 2.16494584 2.21571589 2.25174189 2.29883695 2.32996702 2.36442995 2.40317202 2.43566084 2.46237946 2.4925344 2.52989626 2.55546093 2.58023071 2.60189009 2.62056398 2.64138269 2.65992427 2.67911196 2.70104551 2.72067261 2.74055624 2.76371193 2.77951908 2.79519749 2.80843186 2.82438397 2.83862948 2.85527372 2.86731291 2.87863064 2.88884211 2.89964867 2.91057539 2.9183445 2.92609215 2.93369389 2.9415729 2.94918489 2.95649099 2.96430397 2.97040606 2.97739816 2.98394537 2.99111247 2.99736309 3.00355339 3.00870848 3.01295161 3.01833868 3.02307963 3.0278573 3.03249502 3.03647566 3.04098749 3.04468393 3.04867077 3.05271792 3.05731082 3.06137848 3.06549406 3.06969357 3.0734663 3.07667208 3.08002996 3.08319044 3.08673191 3.09005737 3.09318209 3.09586954 3.09895539 3.10254169 3.10527253 3.10789061 3.11089635 3.11352062 3.11646605 3.11951303 3.121768 3.12464333 3.12780857 3.1306119 3.13330626 3.13605309 3.13899517 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.71661377E-05 0.00847601891 0.0184501708 0.0288329124 0.0360689163 0.0447345376 0.0521798134 0.0598021746 0.067101717 0.0751154125 0.0827182531 0.0902184248 0.0972020626 0.10388124 0.110199004 0.1193856 0.128201276 0.133649588 0.140925378 0.147268504 0.153951705 0.160226583 0.166578531 0.172500134 0.179415494 0.185639143 0.191429079 0.196928054 0.201291203 0.206055641 0.210948586 0.214949012 0.220668733 0.225345701 0.230016828 0.235963941 0.240432382 0.245033085 0.249878287 0.254756689 0.259580255 0.264313221 0.269867361 0.274800062 0.27890259 0.28438282 0.29065147 0.295297444 0.300181866 0.305814326 0.310752153 0.315919459 0.320708245 0.325721383 0.331781238 0.337287903 0.343367398 0.348307848 0.353404522 0.358675778 0.366164058 0.37306124 0.380080342 0.385314286 0.391478121 0.398913085 0.405026257 0.410726964 0.417197466 0.424089193 0.430233836 0.436310768 0.442384243 0.449377418 0.456394196 0.463344514 0.470178962 0.477655649 0.484100819 0.492493868 0.500100374 0.50976491 0.517531395 0.527023494 0.536046624 0.547175169 0.555971861 0.565150738 0.575653791 0.587455511 0.598299265 0.611797452 0.628560185 0.645677686 0.664439857 0.679900289 0.706423819 0.73858273 0.772610962 0.832556367 1.09418297 ------------------------------ Transdef: Tab for variable 12 0.200011998 0.208947718 0.217677236 0.225475475 0.234219193 0.241179615 0.2487517 0.256218851 0.263530999 0.270269394 0.276243091 0.281297833 0.287693322 0.293662846 0.299494267 0.305953622 0.310966194 0.31692481 0.322455227 0.328086436 0.332644939 0.33758527 0.342513978 0.347715408 0.352716833 0.357782483 0.362780452 0.368332833 0.37324816 0.3777771 0.382338047 0.387929678 0.392977089 0.398196995 0.402689874 0.407021523 0.41153574 0.415547609 0.419853926 0.424690247 0.429000616 0.43477577 0.439418882 0.443728656 0.448686421 0.453163028 0.457050145 0.462080956 0.466478407 0.471141905 0.475496382 0.479880929 0.484211981 0.488070488 0.492474258 0.496756583 0.501354218 0.506866872 0.511082053 0.515731812 0.520235181 0.524334669 0.529696763 0.534893215 0.539714515 0.545333505 0.550466418 0.555719018 0.561712623 0.566570282 0.571499825 0.576900244 0.583456159 0.588549316 0.595700145 0.601415038 0.607019544 0.613443017 0.619879961 0.627322793 0.634267032 0.641771436 0.649233282 0.655791044 0.662710428 0.670604944 0.677383065 0.684863329 0.694423676 0.70419234 0.711410761 0.722319603 0.733407259 0.749784291 0.766726315 0.781655192 0.800608039 0.828009963 0.85858953 0.907223344 1.11530662 ------------------------------ Transdef: Tab for variable 13 20.0516586 21.1818142 21.8995724 22.4516182 22.8568077 23.4729385 23.8612747 24.3425999 24.7508774 25.1931839 25.4964333 25.8749371 26.1971416 26.5587997 26.8892593 27.2161102 27.4732685 27.836235 28.1152191 28.3920975 28.6823921 28.9052353 29.1872063 29.5194588 29.7640572 30.0284271 30.3348312 30.6090145 30.8856125 31.1307335 31.3482819 31.5844536 31.864748 32.1988602 32.4680252 32.7317963 32.9297028 33.2179108 33.451664 33.7585487 34.0243149 34.2964592 34.5755157 34.8634453 35.1490173 35.4482269 35.682663 35.9748917 36.258812 36.4878693 36.7690201 37.1168556 37.4408417 37.7304993 38.0206833 38.3594208 38.6380997 38.9501419 39.2729187 39.5863075 39.9282188 40.2861252 40.5678101 40.9165916 41.3136978 41.7202911 42.1837006 42.6052399 42.9170494 43.2990646 43.7190971 44.17659 44.6730423 45.1332817 45.6276321 46.1048965 46.7215347 47.3261185 47.9624634 48.6005707 49.2769775 49.9897308 50.7509689 51.4635429 52.3087463 53.0998001 54.0896759 54.9188766 56.0652885 57.3230133 58.4574127 59.5555344 61.5475769 63.5440826 66.0281525 68.8310089 71.9746094 76.9276199 83.437561 94.3750305 201.326797 ------------------------------ Transdef: Tab for variable 14 10.0089645 10.4270201 10.69491 10.9577446 11.2173586 11.4337616 11.6132631 11.7906466 11.9800816 12.2033463 12.3705482 12.5646935 12.741888 12.9014416 13.0505438 13.20331 13.3665638 13.5488482 13.7112961 13.8572073 14.0023117 14.1604338 14.3074303 14.4574003 14.6183224 14.7775478 14.9363661 15.0994415 15.2550011 15.4071569 15.5578346 15.7295914 15.9050074 16.0728836 16.2378349 16.392868 16.572628 16.7170887 16.8895798 17.0400391 17.2025242 17.3595562 17.5399704 17.7272129 17.9302177 18.091362 18.2572021 18.4334183 18.6301441 18.814682 19.0107574 19.1697636 19.3534012 19.5278091 19.7154579 19.9532928 20.1534462 20.3611259 20.6029739 20.8407669 21.0576477 21.3124924 21.5140362 21.6779633 21.8919754 22.141613 22.391407 22.6156311 22.8359451 23.0766335 23.3295364 23.6050968 23.8166504 24.1399345 24.344656 24.5814953 24.8991623 25.2255516 25.4844627 25.8034573 26.1376476 26.438055 26.7901154 27.1556358 27.5735207 28.0320358 28.5278435 29.040554 29.5015984 29.9949856 30.5310059 31.2352009 31.8785782 32.8044357 33.8643875 35.0084229 36.4092178 38.0562935 40.6541443 44.3547668 87.1024323 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 26.8 16.8 -10.7 -3.7 11.5 25.1 3.9 16.4 -24.1 -0.3 1.1 14.2 -10.8 2 26.8 100.0 60.4 37.8 9.5 55.2 94.0 53.0 85.4 -50.2 -21.7 -35.5 55.8 33.0 3 16.8 60.4 100.0 19.1 -7.5 23.0 62.3 39.3 68.9 -12.8 -22.7 -42.2 91.4 16.0 4 -10.7 37.8 19.1 100.0 0.8 18.3 38.2 27.6 46.2 -3.7 -26.8 -43.3 18.4 89.0 5 -3.7 9.5 -7.5 0.8 100.0 81.4 -20.3 46.7 44.2 40.7 2.3 5.3 -8.0 0.7 6 11.5 55.2 23.0 18.3 81.4 100.0 29.4 67.7 75.7 7.7 -8.1 -12.1 20.4 16.1 7 25.1 94.0 62.3 38.2 -20.3 29.4 100.0 43.5 70.3 -59.5 -22.3 -37.6 57.8 33.4 8 3.9 53.0 39.3 27.6 46.7 67.7 43.5 100.0 69.9 4.2 -16.3 -25.5 35.6 24.6 9 16.4 85.4 68.9 46.2 44.2 75.7 70.3 69.9 100.0 -14.0 -23.8 -40.3 63.1 40.7 10 -24.1 -50.2 -12.8 -3.7 40.7 7.7 -59.5 4.2 -14.0 100.0 3.8 6.6 -12.1 -2.4 11 -0.3 -21.7 -22.7 -26.8 2.3 -8.1 -22.3 -16.3 -23.8 3.8 100.0 57.7 -19.9 -25.3 12 1.1 -35.5 -42.2 -43.3 5.3 -12.1 -37.6 -25.5 -40.3 6.6 57.7 100.0 -38.3 -36.0 13 14.2 55.8 91.4 18.4 -8.0 20.4 57.8 35.6 63.1 -12.1 -19.9 -38.3 100.0 23.5 14 -10.8 33.0 16.0 89.0 0.7 16.1 33.4 24.6 40.7 -2.4 -25.3 -36.0 23.5 100.0 TOTAL CORRELATION TO TARGET (diagonal) 55.451935 TOTAL CORRELATION OF ALL VARIABLES 38.0684093 ROUND 1: MAX CORR ( 38.0506227) AFTER KILLING INPUT VARIABLE 11 CONTR 1.16357156 ROUND 2: MAX CORR ( 38.0349245) AFTER KILLING INPUT VARIABLE 14 CONTR 1.09289053 ROUND 3: MAX CORR ( 38.0091303) AFTER KILLING INPUT VARIABLE 9 CONTR 1.40053324 ROUND 4: MAX CORR ( 37.8772366) AFTER KILLING INPUT VARIABLE 13 CONTR 3.16368991 ROUND 5: MAX CORR ( 37.723709) AFTER KILLING INPUT VARIABLE 3 CONTR 3.40687962 ROUND 6: MAX CORR ( 37.6276241) AFTER KILLING INPUT VARIABLE 12 CONTR 2.69074866 ROUND 7: MAX CORR ( 37.4243037) AFTER KILLING INPUT VARIABLE 10 CONTR 3.90635177 ROUND 8: MAX CORR ( 37.0451298) AFTER KILLING INPUT VARIABLE 7 CONTR 5.31383751 ROUND 9: MAX CORR ( 36.4878618) AFTER KILLING INPUT VARIABLE 6 CONTR 6.4013734 ROUND 10: MAX CORR ( 36.4228702) AFTER KILLING INPUT VARIABLE 5 CONTR 2.17682842 ROUND 11: MAX CORR ( 35.0122863) AFTER KILLING INPUT VARIABLE 8 CONTR 10.0381913 ROUND 12: MAX CORR ( 26.8350671) AFTER KILLING INPUT VARIABLE 4 CONTR 22.4886497 LAST REMAINING VARIABLE: 2 total correlation to target: 38.0684093 % total significance: 32.6827807 sigma correlations of single variables to target: variable 2: 26.8350671 % , in sigma: 23.0386462 variable 3: 16.7956212 % , in sigma: 14.4195047 variable 4: -10.684187 % , in sigma: 9.17266961 variable 5: -3.65302001 % , in sigma: 3.13621856 variable 6: 11.5228229 % , in sigma: 9.89266169 variable 7: 25.0635194 % , in sigma: 21.5177235 variable 8: 3.93650809 % , in sigma: 3.37960091 variable 9: 16.3626675 % , in sigma: 14.0478019 variable 10: -24.1274323 % , in sigma: 20.7140669 variable 11: -0.278878884 % , in sigma: 0.239425223 variable 12: 1.11588106 % , in sigma: 0.958014704 variable 13: 14.1532678 % , in sigma: 12.1509712 variable 14: -10.8280929 % , in sigma: 9.29621677 variables sorted by significance: 1 most relevant variable 2 corr 26.8350677 , in sigma: 23.0386467 2 most relevant variable 4 corr 22.4886494 , in sigma: 19.3071265 3 most relevant variable 8 corr 10.0381908 , in sigma: 8.61806405 4 most relevant variable 5 corr 2.17682838 , in sigma: 1.86886728 5 most relevant variable 6 corr 6.40137339 , in sigma: 5.49575583 6 most relevant variable 7 corr 5.31383753 , in sigma: 4.56207627 7 most relevant variable 10 corr 3.9063518 , in sigma: 3.3537109 8 most relevant variable 12 corr 2.69074869 , in sigma: 2.31008206 9 most relevant variable 3 corr 3.40687966 , in sigma: 2.92490028 10 most relevant variable 13 corr 3.16368985 , in sigma: 2.71611511 11 most relevant variable 9 corr 1.4005332 , in sigma: 1.20239643 12 most relevant variable 14 corr 1.0928905 , in sigma: 0.938276677 13 most relevant variable 11 corr 1.1635716 , in sigma: 0.998958349 global correlations between input variables: variable 2: 99.2393781 % variable 3: 96.3151697 % variable 4: 93.1911331 % variable 5: 96.257544 % variable 6: 94.9118358 % variable 7: 98.9274635 % variable 8: 81.7202472 % variable 9: 98.8036109 % variable 10: 77.0800818 % variable 11: 58.5762661 % variable 12: 70.1604784 % variable 13: 93.0816891 % variable 14: 91.2955122 % significance loss when removing single variables: variable 2: corr = 8.17298523 % , sigma = 7.01673352 variable 3: corr = 3.73490736 % , sigma = 3.20652112 variable 4: corr = 5.58554009 % , sigma = 4.79534042 variable 5: corr = 5.90645806 % , sigma = 5.07085736 variable 6: corr = 5.6440525 % , sigma = 4.84557494 variable 7: corr = 5.63627399 % , sigma = 4.83889687 variable 8: corr = 4.21698376 % , sigma = 3.62039701 variable 9: corr = 1.33358205 % , sigma = 1.14491702 variable 10: corr = 4.51865177 % , sigma = 3.87938734 variable 11: corr = 1.16357156 % , sigma = 0.998958314 variable 12: corr = 3.67991493 % , sigma = 3.15930859 variable 13: corr = 2.27539901 % , sigma = 1.95349288 variable 14: corr = 1.20324812 % , sigma = 1.03302174 Keep only 6 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 7 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 12.1519518 sigma out 15 active outputs RANK 2 NODE 5 --> 9.09673119 sigma out 15 active outputs RANK 3 NODE 6 --> 8.98985195 sigma out 15 active outputs RANK 4 NODE 7 --> 8.23944283 sigma out 15 active outputs RANK 5 NODE 2 --> 7.58024597 sigma out 15 active outputs RANK 6 NODE 4 --> 7.20227385 sigma out 15 active outputs RANK 7 NODE 3 --> 6.6311512 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 10.6389866 sigma in 7act. ( 11.6055326 sig out 1act.) RANK 2 NODE 10 --> 9.98835373 sigma in 7act. ( 9.84305477 sig out 1act.) RANK 3 NODE 3 --> 8.67682838 sigma in 7act. ( 9.56475163 sig out 1act.) RANK 4 NODE 13 --> 8.24568939 sigma in 7act. ( 8.55768204 sig out 1act.) RANK 5 NODE 12 --> 7.59371901 sigma in 7act. ( 7.84609938 sig out 1act.) RANK 6 NODE 8 --> 6.02052021 sigma in 7act. ( 5.91682434 sig out 1act.) RANK 7 NODE 7 --> 5.04675198 sigma in 7act. ( 4.95664835 sig out 1act.) RANK 8 NODE 15 --> 4.2922883 sigma in 7act. ( 4.56032515 sig out 1act.) RANK 9 NODE 5 --> 3.94574857 sigma in 7act. ( 4.15805721 sig out 1act.) RANK 10 NODE 11 --> 3.5388968 sigma in 7act. ( 3.82748079 sig out 1act.) RANK 11 NODE 1 --> 1.7668947 sigma in 7act. ( 0.8176139 sig out 1act.) RANK 12 NODE 2 --> 1.65828884 sigma in 7act. ( 1.67319155 sig out 1act.) RANK 13 NODE 6 --> 1.38934708 sigma in 7act. ( 1.23291039 sig out 1act.) RANK 14 NODE 4 --> 1.16824245 sigma in 7act. ( 0.196584269 sig out 1act.) RANK 15 NODE 14 --> 1.06444907 sigma in 7act. ( 0.0364230387 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 11.6055326 sigma out 1act.( 10.6389866 sig in 7act.) RANK 2 NODE 10 --> 9.84305477 sigma out 1act.( 9.98835373 sig in 7act.) RANK 3 NODE 3 --> 9.56475163 sigma out 1act.( 8.67682838 sig in 7act.) RANK 4 NODE 13 --> 8.55768204 sigma out 1act.( 8.24568939 sig in 7act.) RANK 5 NODE 12 --> 7.84609938 sigma out 1act.( 7.59371901 sig in 7act.) RANK 6 NODE 8 --> 5.91682434 sigma out 1act.( 6.02052021 sig in 7act.) RANK 7 NODE 7 --> 4.95664835 sigma out 1act.( 5.04675198 sig in 7act.) RANK 8 NODE 15 --> 4.56032515 sigma out 1act.( 4.2922883 sig in 7act.) RANK 9 NODE 5 --> 4.15805721 sigma out 1act.( 3.94574857 sig in 7act.) RANK 10 NODE 11 --> 3.82748079 sigma out 1act.( 3.5388968 sig in 7act.) RANK 11 NODE 2 --> 1.67319155 sigma out 1act.( 1.65828884 sig in 7act.) RANK 12 NODE 6 --> 1.23291039 sigma out 1act.( 1.38934708 sig in 7act.) RANK 13 NODE 1 --> 0.8176139 sigma out 1act.( 1.7668947 sig in 7act.) RANK 14 NODE 4 --> 0.196584269 sigma out 1act.( 1.16824245 sig in 7act.) RANK 15 NODE 14 --> 0.0364230387 sigma out 1act.( 1.06444907 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.9832172 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 12.0716419 sigma out 15 active outputs RANK 2 NODE 5 --> 11.2768316 sigma out 15 active outputs RANK 3 NODE 7 --> 10.4282179 sigma out 15 active outputs RANK 4 NODE 6 --> 10.398221 sigma out 15 active outputs RANK 5 NODE 2 --> 9.55811787 sigma out 15 active outputs RANK 6 NODE 3 --> 8.0577774 sigma out 15 active outputs RANK 7 NODE 4 --> 7.90781927 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 11.3580246 sigma in 7act. ( 11.9141273 sig out 1act.) RANK 2 NODE 10 --> 10.0565968 sigma in 7act. ( 9.26254272 sig out 1act.) RANK 3 NODE 13 --> 9.2961216 sigma in 7act. ( 8.07040691 sig out 1act.) RANK 4 NODE 3 --> 8.84215164 sigma in 7act. ( 9.31403637 sig out 1act.) RANK 5 NODE 12 --> 7.98834848 sigma in 7act. ( 7.29572201 sig out 1act.) RANK 6 NODE 8 --> 7.98750496 sigma in 7act. ( 7.10427856 sig out 1act.) RANK 7 NODE 11 --> 7.0205822 sigma in 7act. ( 3.89611816 sig out 1act.) RANK 8 NODE 15 --> 6.67322922 sigma in 7act. ( 5.14592934 sig out 1act.) RANK 9 NODE 7 --> 5.38749981 sigma in 7act. ( 4.06272459 sig out 1act.) RANK 10 NODE 1 --> 3.67430735 sigma in 7act. ( 0.346372753 sig out 1act.) RANK 11 NODE 2 --> 3.5950098 sigma in 7act. ( 1.55161536 sig out 1act.) RANK 12 NODE 6 --> 3.42394447 sigma in 7act. ( 1.46681607 sig out 1act.) RANK 13 NODE 5 --> 3.25915456 sigma in 7act. ( 3.05327654 sig out 1act.) RANK 14 NODE 4 --> 3.12487698 sigma in 7act. ( 0.050630562 sig out 1act.) RANK 15 NODE 14 --> 2.20118618 sigma in 7act. ( 0.164374813 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 11.9141273 sigma out 1act.( 11.3580246 sig in 7act.) RANK 2 NODE 3 --> 9.31403637 sigma out 1act.( 8.84215164 sig in 7act.) RANK 3 NODE 10 --> 9.26254272 sigma out 1act.( 10.0565968 sig in 7act.) RANK 4 NODE 13 --> 8.07040691 sigma out 1act.( 9.2961216 sig in 7act.) RANK 5 NODE 12 --> 7.29572201 sigma out 1act.( 7.98834848 sig in 7act.) RANK 6 NODE 8 --> 7.10427856 sigma out 1act.( 7.98750496 sig in 7act.) RANK 7 NODE 15 --> 5.14592934 sigma out 1act.( 6.67322922 sig in 7act.) RANK 8 NODE 7 --> 4.06272459 sigma out 1act.( 5.38749981 sig in 7act.) RANK 9 NODE 11 --> 3.89611816 sigma out 1act.( 7.0205822 sig in 7act.) RANK 10 NODE 5 --> 3.05327654 sigma out 1act.( 3.25915456 sig in 7act.) RANK 11 NODE 2 --> 1.55161536 sigma out 1act.( 3.5950098 sig in 7act.) RANK 12 NODE 6 --> 1.46681607 sigma out 1act.( 3.42394447 sig in 7act.) RANK 13 NODE 1 --> 0.346372753 sigma out 1act.( 3.67430735 sig in 7act.) RANK 14 NODE 14 --> 0.164374813 sigma out 1act.( 2.20118618 sig in 7act.) RANK 15 NODE 4 --> 0.050630562 sigma out 1act.( 3.12487698 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.5694599 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.41440779 *** contribution from regularisation: 0.00825101603 *** contribution from error: -0.422658801 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.439700544 *** contribution from regularisation: 0.00580260763 *** contribution from error: -0.445503145 *********************************************** -----------------> Test sample ENTER BFGS code START -8735.3185 0.236246705 0.0264632497 EXIT FROM BFGS code FG_START 0. 0.236246705 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.449461251 *** contribution from regularisation: 0.00370446756 *** contribution from error: -0.45316571 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -8927.19953 0.236246705 20.6107349 EXIT FROM BFGS code FG_LNSRCH 0. 0.269762784 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.469489813 *** contribution from regularisation: 0.00588200754 *** contribution from error: -0.475371808 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9325.0065 0.269762784 0.923297346 EXIT FROM BFGS code NEW_X -9325.0065 0.269762784 0.923297346 ENTER BFGS code NEW_X -9325.0065 0.269762784 0.923297346 EXIT FROM BFGS code FG_LNSRCH 0. 0.274735779 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.471459746 *** contribution from regularisation: 0.00623687031 *** contribution from error: -0.477696627 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9364.13345 0.274735779 -1.6454525 EXIT FROM BFGS code NEW_X -9364.13345 0.274735779 -1.6454525 ENTER BFGS code NEW_X -9364.13345 0.274735779 -1.6454525 EXIT FROM BFGS code FG_LNSRCH 0. 0.273534387 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.472348213 *** contribution from regularisation: 0.00582327833 *** contribution from error: -0.478171498 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9381.78041 0.273534387 0.029014891 EXIT FROM BFGS code NEW_X -9381.78041 0.273534387 0.029014891 ENTER BFGS code NEW_X -9381.78041 0.273534387 0.029014891 EXIT FROM BFGS code FG_LNSRCH 0. 0.273863524 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.472925842 *** contribution from regularisation: 0.00543480041 *** contribution from error: -0.478360653 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9393.25328 0.273863524 -0.326796442 EXIT FROM BFGS code NEW_X -9393.25328 0.273863524 -0.326796442 ENTER BFGS code NEW_X -9393.25328 0.273863524 -0.326796442 EXIT FROM BFGS code FG_LNSRCH 0. 0.268769145 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.473921865 *** contribution from regularisation: 0.00456998497 *** contribution from error: -0.478491843 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9413.03603 0.268769145 9.20920849 EXIT FROM BFGS code NEW_X -9413.03603 0.268769145 9.20920849 ENTER BFGS code NEW_X -9413.03603 0.268769145 9.20920849 EXIT FROM BFGS code FG_LNSRCH 0. 0.323295236 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.473677278 *** contribution from regularisation: 0.00490613887 *** contribution from error: -0.478583425 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9408.17827 0.323295236 -29.1217117 EXIT FROM BFGS code FG_LNSRCH 0. 0.287721843 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 11.4101152 sigma out 15 active outputs RANK 2 NODE 1 --> 10.7542582 sigma out 15 active outputs RANK 3 NODE 6 --> 10.1038055 sigma out 15 active outputs RANK 4 NODE 2 --> 6.9187789 sigma out 15 active outputs RANK 5 NODE 7 --> 6.84040737 sigma out 15 active outputs RANK 6 NODE 5 --> 6.16982985 sigma out 15 active outputs RANK 7 NODE 4 --> 5.77534723 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 10.7573156 sigma in 7act. ( 8.34328651 sig out 1act.) RANK 2 NODE 15 --> 10.1473656 sigma in 7act. ( 9.1137352 sig out 1act.) RANK 3 NODE 6 --> 8.5519371 sigma in 7act. ( 7.55730629 sig out 1act.) RANK 4 NODE 9 --> 7.70762682 sigma in 7act. ( 5.48230362 sig out 1act.) RANK 5 NODE 3 --> 6.06917858 sigma in 7act. ( 4.83583117 sig out 1act.) RANK 6 NODE 11 --> 6.03259659 sigma in 7act. ( 4.28197813 sig out 1act.) RANK 7 NODE 2 --> 5.4537611 sigma in 7act. ( 4.13299179 sig out 1act.) RANK 8 NODE 13 --> 3.94841337 sigma in 7act. ( 0.917435169 sig out 1act.) RANK 9 NODE 12 --> 3.42675972 sigma in 7act. ( 1.39125478 sig out 1act.) RANK 10 NODE 10 --> 3.05755115 sigma in 7act. ( 0.805993915 sig out 1act.) RANK 11 NODE 7 --> 2.948174 sigma in 7act. ( 1.44949555 sig out 1act.) RANK 12 NODE 1 --> 2.3655045 sigma in 7act. ( 1.17603552 sig out 1act.) RANK 13 NODE 4 --> 1.99670279 sigma in 7act. ( 0.552350104 sig out 1act.) RANK 14 NODE 14 --> 1.76005197 sigma in 7act. ( 0.668321908 sig out 1act.) RANK 15 NODE 5 --> 1.32586896 sigma in 7act. ( 1.0443722 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 9.1137352 sigma out 1act.( 10.1473656 sig in 7act.) RANK 2 NODE 8 --> 8.34328651 sigma out 1act.( 10.7573156 sig in 7act.) RANK 3 NODE 6 --> 7.55730629 sigma out 1act.( 8.5519371 sig in 7act.) RANK 4 NODE 9 --> 5.48230362 sigma out 1act.( 7.70762682 sig in 7act.) RANK 5 NODE 3 --> 4.83583117 sigma out 1act.( 6.06917858 sig in 7act.) RANK 6 NODE 11 --> 4.28197813 sigma out 1act.( 6.03259659 sig in 7act.) RANK 7 NODE 2 --> 4.13299179 sigma out 1act.( 5.4537611 sig in 7act.) RANK 8 NODE 7 --> 1.44949555 sigma out 1act.( 2.948174 sig in 7act.) RANK 9 NODE 12 --> 1.39125478 sigma out 1act.( 3.42675972 sig in 7act.) RANK 10 NODE 1 --> 1.17603552 sigma out 1act.( 2.3655045 sig in 7act.) RANK 11 NODE 5 --> 1.0443722 sigma out 1act.( 1.32586896 sig in 7act.) RANK 12 NODE 13 --> 0.917435169 sigma out 1act.( 3.94841337 sig in 7act.) RANK 13 NODE 10 --> 0.805993915 sigma out 1act.( 3.05755115 sig in 7act.) RANK 14 NODE 14 --> 0.668321908 sigma out 1act.( 1.76005197 sig in 7act.) RANK 15 NODE 4 --> 0.552350104 sigma out 1act.( 1.99670279 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.5326786 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.472765595 *** contribution from regularisation: 0.00607943954 *** contribution from error: -0.47884503 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -9390.07038 0.287721843 -3.09871888 EXIT FROM BFGS code FG_LNSRCH 0. 0.270562887 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.473198593 *** contribution from regularisation: 0.00534765935 *** contribution from error: -0.478546262 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9398.67021 0.270562887 8.45952225 EXIT FROM BFGS code FG_LNSRCH 0. 0.268805146 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.47323671 *** contribution from regularisation: 0.00525620952 *** contribution from error: -0.478492916 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9399.42759 0.268805146 9.57619572 EXIT FROM BFGS code FG_LNSRCH 0. 0.268769175 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.473154962 *** contribution from regularisation: 0.00533688441 *** contribution from error: -0.478491843 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9397.80389 0.268769175 9.680336 EXIT FROM BFGS code FG_LNSRCH 0. 0.268769145 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.473260224 *** contribution from regularisation: 0.00523162633 *** contribution from error: -0.478491843 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9399.89451 0.268769145 9.74416828 EXIT FROM BFGS code FG_LNSRCH 0. 0.268769145 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.473264188 *** contribution from regularisation: 0.00522766309 *** contribution from error: -0.478491843 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9399.97323 0.268769145 9.73175049 EXIT FROM BFGS code FG_LNSRCH 0. 0.268769145 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.473224312 *** contribution from regularisation: 0.00526754698 *** contribution from error: -0.478491873 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9399.18106 0.268769145 9.77314758 EXIT FROM BFGS code NEW_X -9399.18106 0.268769145 9.77314758 ENTER BFGS code NEW_X -9399.18106 0.268769145 9.77314758 EXIT FROM BFGS code CONVERGENC -9399.18106 0.268769145 9.77314758 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 15.3631144 sigma out 15 active outputs RANK 2 NODE 1 --> 15.2509127 sigma out 15 active outputs RANK 3 NODE 6 --> 13.3335438 sigma out 15 active outputs RANK 4 NODE 7 --> 9.72555637 sigma out 15 active outputs RANK 5 NODE 2 --> 9.16480446 sigma out 15 active outputs RANK 6 NODE 4 --> 8.65672779 sigma out 15 active outputs RANK 7 NODE 5 --> 7.95677662 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 16.2790642 sigma in 7act. ( 13.9613342 sig out 1act.) RANK 2 NODE 15 --> 14.902318 sigma in 7act. ( 14.7474232 sig out 1act.) RANK 3 NODE 6 --> 11.6716785 sigma in 7act. ( 11.0169325 sig out 1act.) RANK 4 NODE 9 --> 9.71868324 sigma in 7act. ( 9.22770882 sig out 1act.) RANK 5 NODE 3 --> 8.1435318 sigma in 7act. ( 8.23251247 sig out 1act.) RANK 6 NODE 11 --> 7.75916338 sigma in 7act. ( 7.11012983 sig out 1act.) RANK 7 NODE 2 --> 6.92773438 sigma in 7act. ( 6.37091541 sig out 1act.) RANK 8 NODE 13 --> 4.26453066 sigma in 7act. ( 2.3909235 sig out 1act.) RANK 9 NODE 12 --> 3.76042891 sigma in 7act. ( 2.29136086 sig out 1act.) RANK 10 NODE 7 --> 3.2118206 sigma in 7act. ( 2.17644262 sig out 1act.) RANK 11 NODE 10 --> 3.1510036 sigma in 7act. ( 0.0307138078 sig out 1act.) RANK 12 NODE 1 --> 2.84175014 sigma in 7act. ( 1.82736349 sig out 1act.) RANK 13 NODE 4 --> 2.1290226 sigma in 7act. ( 0.979095101 sig out 1act.) RANK 14 NODE 14 --> 1.94883537 sigma in 7act. ( 1.22523403 sig out 1act.) RANK 15 NODE 5 --> 1.40261912 sigma in 7act. ( 1.16590226 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 14.7474232 sigma out 1act.( 14.902318 sig in 7act.) RANK 2 NODE 8 --> 13.9613342 sigma out 1act.( 16.2790642 sig in 7act.) RANK 3 NODE 6 --> 11.0169325 sigma out 1act.( 11.6716785 sig in 7act.) RANK 4 NODE 9 --> 9.22770882 sigma out 1act.( 9.71868324 sig in 7act.) RANK 5 NODE 3 --> 8.23251247 sigma out 1act.( 8.1435318 sig in 7act.) RANK 6 NODE 11 --> 7.11012983 sigma out 1act.( 7.75916338 sig in 7act.) RANK 7 NODE 2 --> 6.37091541 sigma out 1act.( 6.92773438 sig in 7act.) RANK 8 NODE 13 --> 2.3909235 sigma out 1act.( 4.26453066 sig in 7act.) RANK 9 NODE 12 --> 2.29136086 sigma out 1act.( 3.76042891 sig in 7act.) RANK 10 NODE 7 --> 2.17644262 sigma out 1act.( 3.2118206 sig in 7act.) RANK 11 NODE 1 --> 1.82736349 sigma out 1act.( 2.84175014 sig in 7act.) RANK 12 NODE 14 --> 1.22523403 sigma out 1act.( 1.94883537 sig in 7act.) RANK 13 NODE 5 --> 1.16590226 sigma out 1act.( 1.40261912 sig in 7act.) RANK 14 NODE 4 --> 0.979095101 sigma out 1act.( 2.1290226 sig in 7act.) RANK 15 NODE 10 --> 0.0307138078 sigma out 1act.( 3.1510036 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 28.2967949 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.473284185 *** contribution from regularisation: 0.00520765036 *** contribution from error: -0.478491843 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done