NNInput NNInputs_165.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= 84477 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 = 25787 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 25787 Chosen entries: 25787 Signal fraction: 1 Background fraction: 0.439376 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 25787 Entries to split: 25787 Test with : 12893 Train with : 12893 ********************************************* * 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= 25787 for Signal Prepared event 0 for Signal with 25787 events ====Entry 0 Variable Ht : 267.874 Variable LepAPt : 45.292 Variable LepBPt : 35.604 Variable MetSigLeptonsJets : 7.24556 Variable MetSpec : 95.2083 Variable SumEtLeptonsJets : 172.666 Variable VSumJetLeptonsPt : 107.325 Variable addEt : 176.104 Variable dPhiLepSumMet : 2.28406 Variable dPhiLeptons : 0.0254087 Variable dRLeptons : 0.325152 Variable lep1_E : 46.0978 Variable lep2_E : 40.383 ===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 = 2165 Ht = 267.874 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 45.2922 LepAPt = 45.292 LepBEt = 35.604 LepBPt = 35.604 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 95.2083 MetDelPhi = 2.19471 MetSig = 6.53886 MetSigLeptonsJets = 7.24556 MetSpec = 95.2083 Mjj = 0 MostCentralJetEta = -1.47546 MtllMet = 179.575 Njets = 1 SB = 0 SumEt = 212.005 SumEtJets = 0 SumEtLeptonsJets = 172.666 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 107.325 addEt = 176.104 dPhiLepSumMet = 2.28406 dPhiLeptons = 0.0254087 dRLeptons = 0.325152 diltype = 52 dimass = 13.1154 event = 77 jet1_Et = 91.7697 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 46.0978 lep2_E = 40.383 rand = 0.999742 run = 237144 weight = 4.01724e-06 ===Show End Prepared event 10000 for Signal with 25787 events Prepared event 20000 for Signal with 25787 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 58690 for Background Prepared event 0 for Background with 58690 events ====Entry 0 Variable Ht : 65.1543 Variable LepAPt : 20.8407 Variable LepBPt : 10.82 Variable MetSigLeptonsJets : 5.95247 Variable MetSpec : 33.4933 Variable SumEtLeptonsJets : 31.6607 Variable VSumJetLeptonsPt : 31.4507 Variable addEt : 65.1543 Variable dPhiLepSumMet : 3.01433 Variable dPhiLeptons : 0.243032 Variable dRLeptons : 0.763155 Variable lep1_E : 24.0883 Variable lep2_E : 10.9808 ===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 = 65.1543 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8411 LepAPt = 20.8407 LepBEt = 10.82 LepBPt = 10.82 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.4933 MetDelPhi = 2.93145 MetSig = 3.89076 MetSigLeptonsJets = 5.95247 MetSpec = 33.4933 Mjj = 0 MostCentralJetEta = 0 MtllMet = 67.7985 Njets = 0 SB = 0 SumEt = 74.1048 SumEtJets = 0 SumEtLeptonsJets = 31.6607 Target = 0 TrainWeight = 1.28932 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.4507 addEt = 65.1543 dPhiLepSumMet = 3.01433 dPhiLeptons = 0.243032 dRLeptons = 0.763155 diltype = 110 dimass = 11.6846 event = 12144548 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 24.0883 lep2_E = 10.9808 rand = 0.999742 run = 272126 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 58690 events Prepared event 20000 for Background with 58690 events Prepared event 30000 for Background with 58690 events Prepared event 40000 for Background with 58690 events Prepared event 50000 for Background with 58690 events Warning: found 1996 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 84477 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 1996 negative weights. Signal fraction: 63.9626808 % ------------------------------ 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 48.6484184 61.0786438 64.0193176 66.3961029 67.8947449 68.8889389 69.7805023 70.8590698 71.9649429 72.9026489 73.5809784 74.2196808 75.0366058 75.5662994 76.2480011 76.9992981 77.4556808 78.1278915 78.697464 79.402298 80.061264 80.8504181 81.7325821 82.5164413 83.2060547 84.0988617 85.2999802 86.4917831 88.1513977 89.8349915 91.4917297 93.4363098 95.3577347 97.321106 99.0917816 101.033905 102.999771 104.650787 106.604462 108.407623 110.262253 111.84967 113.545578 115.558838 117.516937 119.253876 121.089279 122.676285 124.558006 126.563507 128.603363 130.326111 131.986664 133.662781 135.213654 136.888702 138.338348 139.804123 141.257294 142.954987 144.54303 145.835999 147.329147 148.730377 150.020447 151.459763 152.888458 154.330719 155.589508 156.939941 158.29039 159.577454 160.996918 162.516724 164.144714 165.848694 167.564819 169.497787 171.428085 173.61467 175.861145 178.368561 180.700165 183.011047 185.733643 188.803879 191.994324 195.138702 198.889252 202.606232 206.640472 211.071579 215.865112 221.212997 227.835693 235.201019 245.385376 259.687683 280.180969 318.921509 713.868713 ------------------------------ Transdef: Tab for variable 3 20.0001068 20.294014 20.5881348 20.7948189 21.0626564 21.3298569 21.4946747 21.7399788 21.9603043 22.201683 22.4458084 22.6180229 22.841877 23.0918121 23.3062782 23.5489483 23.7926941 24.0438347 24.2702789 24.5301552 24.7374001 25.0229111 25.277771 25.5109882 25.7801094 25.9511604 26.1946754 26.4205666 26.6854935 27.0317688 27.3305798 27.6163101 27.8418236 28.0905304 28.3552742 28.6925621 28.9504204 29.2327461 29.5364017 29.8659592 30.1775436 30.4793129 30.806469 31.1522999 31.5020256 31.8326359 32.2283096 32.5529404 32.8653183 33.2086563 33.5188141 33.8494492 34.1413231 34.5087471 34.8476601 35.2311325 35.6004181 35.938179 36.2502365 36.5289841 36.8522797 37.191246 37.5811615 37.862175 38.2270203 38.5939407 38.8725014 39.2173233 39.5213699 39.8437843 40.1528358 40.5159988 40.8496552 41.1889725 41.6141129 41.9447403 42.3122749 42.706192 43.070015 43.4547272 43.8535004 44.3220558 44.8218613 45.3280258 45.8386154 46.3683624 46.8582687 47.4880409 48.065361 48.7548141 49.5846405 50.4391899 51.448494 52.496254 53.8944626 55.3211365 57.2626953 59.883194 63.8235703 70.5793457 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001297 10.0843544 10.2388506 10.4072504 10.5493507 10.6710339 10.7970552 10.9209499 11.0450315 11.1776333 11.3048611 11.4691086 11.6177444 11.8130989 11.9756813 12.1543083 12.3162212 12.4753513 12.6682606 12.8591156 13.0224018 13.2530918 13.470314 13.662919 13.8856678 14.0939741 14.2811899 14.4827175 14.718667 14.9534645 15.2558622 15.4733391 15.7638531 16.0201416 16.2724056 16.530941 16.7860355 17.0411377 17.3592033 17.6445389 17.8754768 18.1635036 18.4643822 18.7114792 19.0602837 19.2938175 19.6200066 19.9314308 20.2603188 20.6026192 20.9417839 21.28405 21.5824776 21.9037514 22.2191391 22.5854435 22.9307575 23.2589149 23.6099968 23.9720955 24.3144073 24.6465721 24.987896 25.375803 25.7537727 26.0620804 26.4546318 26.8388729 27.1882706 27.5466919 27.9101601 28.3043385 28.6670418 29.0564651 29.3896141 29.7748623 30.1094952 30.4486732 30.8284245 31.2321033 31.6053772 31.9742222 32.3671799 32.7559547 33.1424789 33.5325394 33.9521866 34.4592133 34.8862991 35.4744492 35.9434242 36.5104523 37.1406097 37.7828751 38.5527725 39.558815 40.6883354 42.2766647 44.6115417 49.5999298 74.918541 ------------------------------ Transdef: Tab for variable 5 1.13770258 2.31814528 2.73879957 3.00778508 3.28747272 3.55251408 3.72799373 3.91627049 4.07240009 4.22620249 4.40150023 4.53593254 4.62865543 4.7488699 4.8443532 4.95933485 5.04523945 5.12715244 5.19235992 5.26348686 5.31541157 5.38251495 5.44032001 5.48642159 5.541049 5.59606171 5.65076399 5.69113684 5.74602699 5.78480911 5.84060335 5.87602615 5.92082977 5.97675991 6.02064371 6.06067419 6.09905815 6.14533186 6.19541121 6.24778843 6.29669952 6.35088825 6.39783382 6.43084764 6.485816 6.52386951 6.57684183 6.62456131 6.66239929 6.70990658 6.75931358 6.81485367 6.87061691 6.92295504 6.98459053 7.04145813 7.09550476 7.15107727 7.20001602 7.26757812 7.32192564 7.38183403 7.43973207 7.50469828 7.56358528 7.6229744 7.6881094 7.74291515 7.80674553 7.86698437 7.92562342 7.98848629 8.04949379 8.10753059 8.17215157 8.2317791 8.29353142 8.35205269 8.40924454 8.48773956 8.55663681 8.62111092 8.68996048 8.7596302 8.83094025 8.90659809 8.97807693 9.04926777 9.13199806 9.21600533 9.31590652 9.41271782 9.54290199 9.66252327 9.79960632 9.97043324 10.1909676 10.4903708 10.9115162 11.6616859 16.935009 ------------------------------ Transdef: Tab for variable 6 15.0022125 17.4135513 19.4328842 21.0788784 23.6077518 25.2754021 26.4640617 27.9440994 28.8934536 29.9159794 30.7091331 31.4545326 32.1489258 32.7516136 33.2253113 33.7737732 34.3065796 34.7061005 35.1003876 35.51791 35.885376 36.3439178 36.6873322 37.0955772 37.4639053 37.8323936 38.1853828 38.5302925 38.9092102 39.3318787 39.6566391 40.0021057 40.4239502 40.825016 41.164299 41.5841484 42.0835342 42.6746788 43.1846046 43.7246933 44.4023247 45.0908737 45.7373772 46.5484619 47.2865906 47.9885483 48.7569733 49.55056 50.22686 50.9907684 51.8212585 52.6858749 53.5969048 54.4183273 55.3703156 56.1831818 57.1659546 58.1053238 58.977623 59.8698883 60.702179 61.6891441 62.4943581 63.3641968 64.2616882 65.1033478 65.9077759 66.7592621 67.5536804 68.3201065 69.0595551 69.8276215 70.568573 71.376709 72.1295166 72.8565826 73.5770111 74.3388824 75.1054535 75.9535141 76.8149719 77.6082306 78.4747925 79.3255157 80.2065964 81.1343384 82.0501404 82.9966431 84.175827 85.5464935 87.0012665 88.516861 90.2229309 92.3956146 94.7176361 97.6828613 101.512238 106.603104 113.944397 125.880898 289.142151 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.4147568 33.2940598 33.9264679 34.6635513 35.22435 35.8037796 36.172966 36.5730133 36.9771843 37.3899574 37.6903305 38.0920029 38.4002914 38.7061577 38.9888 39.2462158 39.6106987 39.9562874 40.227047 40.6107178 41.1241074 41.5203018 41.9835968 42.6371613 43.3582535 44.0098648 44.6760292 45.3980103 46.453186 47.3568802 48.4404297 49.6560745 50.76894 52.0274277 53.1407547 54.2546005 55.250248 56.1832123 57.2286224 58.2472267 59.2441635 60.1944199 60.9932747 62.1216583 63.2755432 64.3702393 65.3342285 66.2317963 67.0219803 67.8859329 68.7994766 69.68927 70.5493164 71.4608307 72.225235 73.1043777 73.971405 74.7407074 75.4723969 76.2979736 77.1758499 78.0115051 78.8349152 79.7277069 80.7766266 81.9626617 82.955658 84.0317841 85.3727493 86.8636551 88.4288483 89.8276291 91.2975159 92.7968903 94.446846 96.3347473 97.9482956 99.6480484 101.458679 103.147873 105.081459 107.047684 108.97084 111.123405 113.161636 115.847946 118.896095 121.844772 125.296432 128.821655 132.861725 137.913177 142.666382 148.415039 155.178085 164.197433 174.839111 190.695587 219.583542 450.263702 ------------------------------ Transdef: Tab for variable 8 0.44022572 21.2636623 26.6178322 29.6455345 31.2120819 32.0475464 32.7553253 33.309906 33.7315407 34.2338104 34.7273331 35.1268044 35.5154953 35.8479156 36.1462936 36.4341469 36.7841682 37.1422577 37.3900833 37.7027359 38.0578804 38.3596878 38.6087036 38.862011 39.1095505 39.4841156 39.6979294 40.0255051 40.3482056 40.7984238 41.2826157 41.6361771 42.0893936 42.5971451 43.1478806 43.7342224 44.2056961 44.7069168 45.2450562 46.0674591 46.7646561 47.3870964 48.1941795 48.9441605 49.5986404 50.3976212 51.0440216 51.9040604 52.7376938 53.5896187 54.2329865 55.0752945 55.7731323 56.5012665 57.3348732 58.0874786 58.8496399 59.6329498 60.4721985 61.2083702 62.0995255 62.9022369 63.6519852 64.3996735 65.1372681 65.8541107 66.5885696 67.2409134 67.9154663 68.5757141 69.2449341 69.9284821 70.6069183 71.2332611 71.9326019 72.6503677 73.3265228 73.9140015 74.6052094 75.2777405 76.0095062 76.7801666 77.5644836 78.3813629 79.1762772 80.0305634 81.1123657 82.1415253 83.2577209 84.4417496 85.9195862 87.6580048 89.3353043 91.5351105 94.0878906 97.3502045 100.924225 105.478706 112.522247 128.545502 301.42688 ------------------------------ Transdef: Tab for variable 9 48.6484184 59.6057587 62.7982254 64.8856277 66.4915085 67.7317734 68.7870483 69.6020966 70.4844131 71.5677948 72.4774704 73.2733917 73.8321152 74.4798431 75.1561127 75.7583008 76.3005676 76.9859772 77.4269333 78.0368652 78.4678802 79.0416031 79.5975189 80.2253571 80.9480286 81.6514435 82.286232 82.8006439 83.5056686 84.3002472 85.2420731 86.1392365 87.4093018 88.6847153 89.8697815 91.3010712 92.6179123 93.9807281 95.6066895 97.2059631 98.6780701 100.181221 101.856316 103.37883 105.130234 106.705681 108.328316 109.904358 111.474045 112.896164 114.287872 115.876495 117.214691 118.522583 120.143021 121.462807 122.80484 124.348839 125.72316 127.259491 128.695648 130.13382 131.352051 132.527557 133.78833 135.055115 136.273956 137.613617 138.824326 139.910324 141.145477 142.316864 143.558151 144.801941 145.789734 146.874359 148.035782 149.080063 150.070526 151.172729 152.200775 153.206619 154.213425 155.248749 156.295029 157.208801 158.185898 159.216095 160.256424 161.50058 162.799576 163.970459 165.598267 167.375458 169.339447 171.757843 175.243896 179.394745 186.447266 202.03627 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0777236596 1.07762492 1.40261769 1.61359668 1.77622366 1.89811909 2.00125313 2.09840727 2.16121221 2.22839928 2.27973223 2.32151747 2.3610332 2.40327263 2.44456005 2.47946501 2.51308751 2.53794241 2.56735516 2.59142089 2.61753631 2.63855934 2.66142607 2.6800375 2.69906187 2.71742916 2.73451853 2.7526865 2.76749659 2.78485537 2.79897118 2.81121516 2.82370424 2.83308983 2.84637117 2.85781264 2.86808872 2.87761307 2.88712883 2.89773703 2.90761518 2.91740727 2.92515898 2.93252635 2.93898368 2.94669485 2.95406294 2.96106553 2.96808171 2.97492361 2.98143768 2.98688221 2.99170256 2.9965024 3.00085592 3.00542331 3.00947618 3.01306391 3.01713943 3.02155709 3.02618504 3.02939844 3.03306365 3.03739548 3.04124641 3.0451951 3.04935431 3.05281448 3.05647516 3.05917716 3.06263971 3.06566167 3.0686934 3.07226372 3.07521009 3.07860661 3.08141661 3.08492708 3.08734012 3.09026146 3.09297466 3.09581447 3.09808493 3.10070229 3.10321736 3.10573912 3.10866642 3.11164188 3.1139605 3.11634064 3.11867857 3.12079906 3.12332177 3.12580967 3.1278708 3.13003635 3.13216257 3.1344769 3.13683796 3.13904357 3.1415906 ------------------------------ Transdef: Tab for variable 11 7.15255737E-07 0.00473321183 0.0100207916 0.0142344758 0.0198441744 0.0256040003 0.0324147791 0.0402107239 0.0469743311 0.053634759 0.0599574372 0.0664250851 0.0718663335 0.077679038 0.0838627815 0.0901551843 0.095932126 0.103053302 0.108637691 0.114655063 0.120678574 0.126799405 0.132842064 0.138242126 0.144099146 0.149653435 0.155045033 0.161264896 0.166252434 0.171629101 0.176864684 0.181402445 0.186262533 0.190465927 0.195089981 0.199364066 0.202972412 0.206390858 0.210523844 0.215217441 0.219224408 0.223419666 0.227841079 0.231229424 0.235138416 0.239836931 0.244872749 0.249571919 0.253668427 0.257650495 0.262171924 0.266988873 0.271212876 0.275613427 0.27919054 0.283612609 0.288345456 0.29370591 0.298359811 0.303174973 0.307299376 0.313168466 0.318135977 0.323887289 0.329283059 0.335116148 0.340096712 0.345483899 0.351244032 0.356403947 0.361850828 0.368752003 0.375279844 0.382226825 0.388614058 0.396509647 0.403404951 0.412020743 0.419437349 0.426892817 0.43458873 0.442817926 0.451873302 0.460338593 0.470097601 0.479513347 0.491668761 0.505649567 0.517406106 0.528095841 0.540985823 0.554610968 0.568367839 0.582954884 0.603252292 0.624459982 0.65365088 0.691871762 0.739368498 0.8043859 1.12033129 ------------------------------ Transdef: Tab for variable 12 0.20001334 0.206470311 0.210622266 0.216251343 0.222151652 0.226958022 0.231991917 0.237374127 0.242033213 0.24738659 0.251561105 0.255970985 0.259979904 0.264028579 0.268220365 0.272319674 0.27690345 0.281281352 0.285440266 0.289109468 0.293132156 0.297268152 0.301878601 0.305968285 0.310022533 0.31439966 0.318607211 0.321846962 0.326325834 0.330161482 0.334088504 0.3382653 0.342660725 0.347240031 0.350816786 0.354732782 0.358919382 0.3630656 0.366733968 0.370669395 0.374825686 0.379321456 0.383445233 0.387893021 0.391869962 0.395701766 0.399921834 0.403411388 0.406904608 0.410400689 0.414962232 0.419369757 0.424506843 0.428952336 0.432718873 0.436244071 0.44102782 0.445756078 0.450700223 0.45577687 0.460279047 0.466052711 0.47041285 0.47583127 0.481939971 0.486852169 0.492362559 0.49775666 0.502755821 0.509259045 0.514319837 0.520756364 0.526578188 0.532507181 0.539434493 0.548091531 0.555816293 0.563416719 0.57120645 0.579204917 0.586245418 0.594198644 0.60360533 0.612247109 0.62119782 0.6283952 0.636737943 0.64630127 0.65963757 0.669906259 0.684574246 0.699218094 0.715096235 0.735509157 0.75373894 0.769847035 0.792277575 0.821117163 0.849803746 0.895607829 1.13469779 ------------------------------ Transdef: Tab for variable 13 20.0376225 21.3554497 22.2059708 22.6499481 23.3259048 23.6829414 24.1615677 24.6533127 25.0605431 25.4720993 25.7893028 26.1046753 26.556221 27.0440598 27.47575 27.8369827 28.1739578 28.5686035 28.9046059 29.3273792 29.6700516 30.0398216 30.3681221 30.6502018 30.8700333 31.2300148 31.5532227 31.923151 32.2569618 32.6350174 32.9836693 33.3045807 33.6777458 34.0821991 34.4408035 34.785675 35.1293869 35.4731483 35.8651657 36.1879196 36.5244827 36.8443069 37.2859344 37.7334442 38.0435333 38.4151001 38.7866211 39.1368523 39.5259094 39.8725357 40.229454 40.5743408 40.9445801 41.3571701 41.7425041 42.0942535 42.492775 42.8487625 43.1697006 43.5299301 43.9070244 44.2932968 44.695694 45.0329895 45.4352493 45.9286575 46.3362732 46.7466278 47.1689301 47.5757904 48.0000458 48.5469246 49.0838242 49.5284538 50.0412903 50.5801544 51.1142502 51.6794434 52.2079697 52.7426567 53.3162346 53.9736557 54.6998138 55.4462624 56.1049118 56.884594 57.8416672 58.7200165 59.802803 60.8842697 61.9701347 63.2138138 64.7488556 66.7650604 68.8636017 71.4107895 74.5542145 77.9803467 83.4569855 92.3502045 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0116768 10.7480793 11.070713 11.3899288 11.794651 12.1118622 12.3969498 12.633996 12.841094 13.122324 13.3798027 13.6702719 14.0013237 14.237504 14.4904251 14.7412853 14.9847641 15.2293482 15.4953308 15.8315115 16.2168808 16.4887161 16.825985 17.1861076 17.5198956 17.8077316 18.0754738 18.4519043 18.7697067 19.0844536 19.3520813 19.6946297 20.0683594 20.3532219 20.6900902 21.0084839 21.404892 21.6628532 21.9794807 22.3735657 22.765152 23.0754166 23.4378357 23.7763062 24.1193657 24.4287205 24.7804413 25.1441021 25.5001068 25.8115425 26.1744728 26.5251389 26.898056 27.3004913 27.7169285 28.11759 28.4154053 28.768034 29.0909367 29.4524994 29.7954521 30.1271324 30.5333633 30.8982048 31.2068901 31.4703789 31.806263 32.1585693 32.5136185 32.8827362 33.2910194 33.6582031 34.0238876 34.4470367 34.8213196 35.2861099 35.7055664 36.1159286 36.5856857 37.0613403 37.565712 38.0196953 38.5043106 38.9965744 39.4964294 40.0775337 40.6666718 41.3441391 42.1233253 42.7819633 43.5738602 44.473175 45.5722275 46.7881927 48.2698364 50.1134644 52.294487 54.4836502 58.327095 64.7679901 115.518631 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 68.2 56.0 57.6 31.5 48.5 65.9 57.3 66.1 -25.1 -12.3 -32.8 38.0 46.2 2 68.2 100.0 69.8 66.0 37.2 66.4 94.5 74.5 91.3 -41.9 -18.2 -42.5 50.7 53.7 3 56.0 69.8 100.0 56.7 11.4 33.6 73.3 54.7 73.6 -17.8 -22.7 -49.4 77.9 45.1 4 57.6 66.0 56.7 100.0 21.7 40.2 65.6 56.6 72.7 -9.6 -24.2 -54.0 42.8 84.9 5 31.5 37.2 11.4 21.7 100.0 85.7 9.4 62.7 59.0 26.2 -4.9 -11.0 3.3 16.2 6 48.5 66.4 33.6 40.2 85.7 100.0 44.5 80.8 78.2 -2.3 -10.1 -23.6 20.7 31.7 7 65.9 94.5 73.3 65.6 9.4 44.5 100.0 63.6 79.4 -51.9 -17.9 -42.8 55.2 54.1 8 57.3 74.5 54.7 56.6 62.7 80.8 63.6 100.0 84.3 -6.5 -18.3 -37.0 38.9 46.0 9 66.1 91.3 73.6 72.7 59.0 78.2 79.4 84.3 100.0 -16.4 -21.1 -47.7 53.8 59.3 10 -25.1 -41.9 -17.8 -9.6 26.2 -2.3 -51.9 -6.5 -16.4 100.0 -0.4 5.0 -13.1 -7.6 11 -12.3 -18.2 -22.7 -24.2 -4.9 -10.1 -17.9 -18.3 -21.1 -0.4 100.0 50.7 -16.4 -21.1 12 -32.8 -42.5 -49.4 -54.0 -11.0 -23.6 -42.8 -37.0 -47.7 5.0 50.7 100.0 -31.9 -38.3 13 38.0 50.7 77.9 42.8 3.3 20.7 55.2 38.9 53.8 -13.1 -16.4 -31.9 100.0 54.2 14 46.2 53.7 45.1 84.9 16.2 31.7 54.1 46.0 59.3 -7.6 -21.1 -38.3 54.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 178.565338 TOTAL CORRELATION OF ALL VARIABLES 74.4702687 ROUND 1: MAX CORR ( 74.4702594) AFTER KILLING INPUT VARIABLE 2 CONTR 0.0373581719 ROUND 2: MAX CORR ( 74.4607995) AFTER KILLING INPUT VARIABLE 14 CONTR 1.18695768 ROUND 3: MAX CORR ( 74.4453765) AFTER KILLING INPUT VARIABLE 11 CONTR 1.51544643 ROUND 4: MAX CORR ( 74.4269187) AFTER KILLING INPUT VARIABLE 6 CONTR 1.65766734 ROUND 5: MAX CORR ( 74.4029951) AFTER KILLING INPUT VARIABLE 8 CONTR 1.8869408 ROUND 6: MAX CORR ( 74.2919644) AFTER KILLING INPUT VARIABLE 12 CONTR 4.06321374 ROUND 7: MAX CORR ( 74.1264352) AFTER KILLING INPUT VARIABLE 13 CONTR 4.95656952 ROUND 8: MAX CORR ( 73.8904333) AFTER KILLING INPUT VARIABLE 10 CONTR 5.91035173 ROUND 9: MAX CORR ( 72.4384361) AFTER KILLING INPUT VARIABLE 9 CONTR 14.5763202 ROUND 10: MAX CORR ( 72.0461421) AFTER KILLING INPUT VARIABLE 3 CONTR 7.52864042 ROUND 11: MAX CORR ( 70.6623614) AFTER KILLING INPUT VARIABLE 4 CONTR 14.0526605 ROUND 12: MAX CORR ( 65.9319562) AFTER KILLING INPUT VARIABLE 5 CONTR 25.4194113 LAST REMAINING VARIABLE: 7 total correlation to target: 74.4702687 % total significance: 105.999871 sigma correlations of single variables to target: variable 2: 68.1590335 % , in sigma: 97.0165524 variable 3: 56.0276453 % , in sigma: 79.7489152 variable 4: 57.6093174 % , in sigma: 82.0002437 variable 5: 31.5132378 % , in sigma: 44.8554731 variable 6: 48.5212808 % , in sigma: 69.0644679 variable 7: 65.9319562 % , in sigma: 93.8465639 variable 8: 57.285421 % , in sigma: 81.5392145 variable 9: 66.1188513 % , in sigma: 94.1125875 variable 10: -25.0709742 % , in sigma: 35.685651 variable 11: -12.329582 % , in sigma: 17.5497433 variable 12: -32.7991446 % , in sigma: 46.6858136 variable 13: 37.9613092 % , in sigma: 54.0335618 variable 14: 46.2259083 % , in sigma: 65.7972689 variables sorted by significance: 1 most relevant variable 7 corr 65.9319534 , in sigma: 93.8465599 2 most relevant variable 5 corr 25.4194107 , in sigma: 36.1816103 3 most relevant variable 4 corr 14.0526609 , in sigma: 20.0023481 4 most relevant variable 3 corr 7.52864027 , in sigma: 10.7161544 5 most relevant variable 9 corr 14.5763206 , in sigma: 20.7477176 6 most relevant variable 10 corr 5.91035175 , in sigma: 8.4127066 7 most relevant variable 13 corr 4.95656967 , in sigma: 7.0551074 8 most relevant variable 12 corr 4.06321383 , in sigma: 5.783518 9 most relevant variable 8 corr 1.88694084 , in sigma: 2.68584346 10 most relevant variable 6 corr 1.6576674 , in sigma: 2.35949907 11 most relevant variable 11 corr 1.51544642 , in sigma: 2.15706385 12 most relevant variable 14 corr 1.18695772 , in sigma: 1.68949792 13 most relevant variable 2 corr 0.0373581722 , in sigma: 0.0531750656 global correlations between input variables: variable 2: 99.1805127 % variable 3: 93.1505354 % variable 4: 93.6838343 % variable 5: 95.2196208 % variable 6: 94.6339896 % variable 7: 98.8712188 % variable 8: 90.0523917 % variable 9: 98.5364601 % variable 10: 72.3768172 % variable 11: 52.0004551 % variable 12: 70.4258393 % variable 13: 87.1259394 % variable 14: 91.1647215 % significance loss when removing single variables: variable 2: corr = 0.0373581719 % , sigma = 0.0531750651 variable 3: corr = 14.7292446 % , sigma = 20.9653873 variable 4: corr = 11.2522687 % , sigma = 16.0163115 variable 5: corr = 17.6560799 % , sigma = 25.131401 variable 6: corr = 1.63149153 % , sigma = 2.32224073 variable 7: corr = 9.61880328 % , sigma = 13.6912612 variable 8: corr = 2.22839661 % , sigma = 3.17186652 variable 9: corr = 11.5371711 % , sigma = 16.4218373 variable 10: corr = 6.1539545 % , sigma = 8.75944712 variable 11: corr = 1.61829457 % , sigma = 2.30345636 variable 12: corr = 2.82553608 % , sigma = 4.02182594 variable 13: corr = 5.00672478 % , sigma = 7.12649743 variable 14: corr = 1.18598706 % , sigma = 1.6881163 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 25.8826923 sigma out 15 active outputs RANK 2 NODE 4 --> 18.2027111 sigma out 15 active outputs RANK 3 NODE 9 --> 17.3019123 sigma out 15 active outputs RANK 4 NODE 5 --> 15.4837275 sigma out 15 active outputs RANK 5 NODE 6 --> 15.3581648 sigma out 15 active outputs RANK 6 NODE 2 --> 14.6385975 sigma out 15 active outputs RANK 7 NODE 3 --> 13.3318233 sigma out 15 active outputs RANK 8 NODE 7 --> 13.0904818 sigma out 15 active outputs RANK 9 NODE 8 --> 11.5234356 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 34.0639 sigma in 9act. ( 34.4172363 sig out 1act.) RANK 2 NODE 8 --> 17.4315529 sigma in 9act. ( 15.8136816 sig out 1act.) RANK 3 NODE 11 --> 14.9616976 sigma in 9act. ( 15.36724 sig out 1act.) RANK 4 NODE 14 --> 14.2899065 sigma in 9act. ( 14.5032148 sig out 1act.) RANK 5 NODE 4 --> 13.7086964 sigma in 9act. ( 14.5967464 sig out 1act.) RANK 6 NODE 5 --> 11.7521906 sigma in 9act. ( 12.0967951 sig out 1act.) RANK 7 NODE 15 --> 9.29932499 sigma in 9act. ( 9.64091301 sig out 1act.) RANK 8 NODE 9 --> 8.96193027 sigma in 9act. ( 10.0111151 sig out 1act.) RANK 9 NODE 2 --> 6.21308279 sigma in 9act. ( 6.2709837 sig out 1act.) RANK 10 NODE 13 --> 4.05969191 sigma in 9act. ( 4.16864824 sig out 1act.) RANK 11 NODE 1 --> 3.47148395 sigma in 9act. ( 4.10197687 sig out 1act.) RANK 12 NODE 7 --> 3.20516205 sigma in 9act. ( 2.54331326 sig out 1act.) RANK 13 NODE 12 --> 2.69579482 sigma in 9act. ( 2.76932049 sig out 1act.) RANK 14 NODE 10 --> 1.39090538 sigma in 9act. ( 1.62462199 sig out 1act.) RANK 15 NODE 3 --> 0.834440947 sigma in 9act. ( 0.211719602 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 34.4172363 sigma out 1act.( 34.0639 sig in 9act.) RANK 2 NODE 8 --> 15.8136816 sigma out 1act.( 17.4315529 sig in 9act.) RANK 3 NODE 11 --> 15.36724 sigma out 1act.( 14.9616976 sig in 9act.) RANK 4 NODE 4 --> 14.5967464 sigma out 1act.( 13.7086964 sig in 9act.) RANK 5 NODE 14 --> 14.5032148 sigma out 1act.( 14.2899065 sig in 9act.) RANK 6 NODE 5 --> 12.0967951 sigma out 1act.( 11.7521906 sig in 9act.) RANK 7 NODE 9 --> 10.0111151 sigma out 1act.( 8.96193027 sig in 9act.) RANK 8 NODE 15 --> 9.64091301 sigma out 1act.( 9.29932499 sig in 9act.) RANK 9 NODE 2 --> 6.2709837 sigma out 1act.( 6.21308279 sig in 9act.) RANK 10 NODE 13 --> 4.16864824 sigma out 1act.( 4.05969191 sig in 9act.) RANK 11 NODE 1 --> 4.10197687 sigma out 1act.( 3.47148395 sig in 9act.) RANK 12 NODE 12 --> 2.76932049 sigma out 1act.( 2.69579482 sig in 9act.) RANK 13 NODE 7 --> 2.54331326 sigma out 1act.( 3.20516205 sig in 9act.) RANK 14 NODE 10 --> 1.62462199 sigma out 1act.( 1.39090538 sig in 9act.) RANK 15 NODE 3 --> 0.211719602 sigma out 1act.( 0.834440947 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 50.2397461 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 24.7672291 sigma out 15 active outputs RANK 2 NODE 2 --> 23.0485859 sigma out 15 active outputs RANK 3 NODE 4 --> 17.7416286 sigma out 15 active outputs RANK 4 NODE 9 --> 16.2826328 sigma out 15 active outputs RANK 5 NODE 6 --> 15.9240379 sigma out 15 active outputs RANK 6 NODE 5 --> 15.1980438 sigma out 15 active outputs RANK 7 NODE 3 --> 13.5577726 sigma out 15 active outputs RANK 8 NODE 7 --> 13.2980318 sigma out 15 active outputs RANK 9 NODE 8 --> 11.9496737 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 31.0807323 sigma in 9act. ( 30.4804821 sig out 1act.) RANK 2 NODE 14 --> 17.3709507 sigma in 9act. ( 14.8188524 sig out 1act.) RANK 3 NODE 8 --> 16.9172344 sigma in 9act. ( 15.6021729 sig out 1act.) RANK 4 NODE 11 --> 16.7341213 sigma in 9act. ( 15.4404316 sig out 1act.) RANK 5 NODE 5 --> 13.0821705 sigma in 9act. ( 11.7522078 sig out 1act.) RANK 6 NODE 4 --> 11.6819534 sigma in 9act. ( 11.8391476 sig out 1act.) RANK 7 NODE 10 --> 10.3000345 sigma in 9act. ( 2.84486747 sig out 1act.) RANK 8 NODE 15 --> 9.7218914 sigma in 9act. ( 9.47329235 sig out 1act.) RANK 9 NODE 9 --> 9.30408287 sigma in 9act. ( 8.91085243 sig out 1act.) RANK 10 NODE 13 --> 8.1178894 sigma in 9act. ( 4.44647264 sig out 1act.) RANK 11 NODE 7 --> 7.84914637 sigma in 9act. ( 2.70568824 sig out 1act.) RANK 12 NODE 1 --> 7.51588631 sigma in 9act. ( 5.42738914 sig out 1act.) RANK 13 NODE 2 --> 6.87805176 sigma in 9act. ( 5.88301325 sig out 1act.) RANK 14 NODE 3 --> 6.65068436 sigma in 9act. ( 1.06915486 sig out 1act.) RANK 15 NODE 12 --> 2.8701601 sigma in 9act. ( 2.50435781 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 30.4804821 sigma out 1act.( 31.0807323 sig in 9act.) RANK 2 NODE 8 --> 15.6021729 sigma out 1act.( 16.9172344 sig in 9act.) RANK 3 NODE 11 --> 15.4404316 sigma out 1act.( 16.7341213 sig in 9act.) RANK 4 NODE 14 --> 14.8188524 sigma out 1act.( 17.3709507 sig in 9act.) RANK 5 NODE 4 --> 11.8391476 sigma out 1act.( 11.6819534 sig in 9act.) RANK 6 NODE 5 --> 11.7522078 sigma out 1act.( 13.0821705 sig in 9act.) RANK 7 NODE 15 --> 9.47329235 sigma out 1act.( 9.7218914 sig in 9act.) RANK 8 NODE 9 --> 8.91085243 sigma out 1act.( 9.30408287 sig in 9act.) RANK 9 NODE 2 --> 5.88301325 sigma out 1act.( 6.87805176 sig in 9act.) RANK 10 NODE 1 --> 5.42738914 sigma out 1act.( 7.51588631 sig in 9act.) RANK 11 NODE 13 --> 4.44647264 sigma out 1act.( 8.1178894 sig in 9act.) RANK 12 NODE 10 --> 2.84486747 sigma out 1act.( 10.3000345 sig in 9act.) RANK 13 NODE 7 --> 2.70568824 sigma out 1act.( 7.84914637 sig in 9act.) RANK 14 NODE 12 --> 2.50435781 sigma out 1act.( 2.8701601 sig in 9act.) RANK 15 NODE 3 --> 1.06915486 sigma out 1act.( 6.65068436 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 46.7395515 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.392689854 *** contribution from regularisation: 0.00739499833 *** contribution from error: -0.400084853 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.461937368 *** contribution from regularisation: 0.00455277413 *** contribution from error: -0.466490149 *********************************************** -----------------> Test sample ENTER BFGS code START -19515.5338 -0.229742035 -0.0983900726 EXIT FROM BFGS code FG_START 0. -0.229742035 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.49394387 *** contribution from regularisation: 0.00431721332 *** contribution from error: -0.498261094 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -20863.2011 -0.229742035 -57.1899757 EXIT FROM BFGS code FG_LNSRCH 0. -0.244599327 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.53826952 *** contribution from regularisation: 0.00537620066 *** contribution from error: -0.54364574 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22735.4288 -0.244599327 -55.4031181 EXIT FROM BFGS code NEW_X -22735.4288 -0.244599327 -55.4031181 ENTER BFGS code NEW_X -22735.4288 -0.244599327 -55.4031181 EXIT FROM BFGS code FG_LNSRCH 0. -0.260809511 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.541043758 *** contribution from regularisation: 0.00555863278 *** contribution from error: -0.546602368 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22852.6073 -0.260809511 -11.9158897 EXIT FROM BFGS code NEW_X -22852.6073 -0.260809511 -11.9158897 ENTER BFGS code NEW_X -22852.6073 -0.260809511 -11.9158897 EXIT FROM BFGS code FG_LNSRCH 0. -0.266284823 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.542400301 *** contribution from regularisation: 0.00550141791 *** contribution from error: -0.54790169 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22909.9048 -0.266284823 5.48299646 EXIT FROM BFGS code NEW_X -22909.9048 -0.266284823 5.48299646 ENTER BFGS code NEW_X -22909.9048 -0.266284823 5.48299646 EXIT FROM BFGS code FG_LNSRCH 0. -0.263093174 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.54288137 *** contribution from regularisation: 0.00544477487 *** contribution from error: -0.548326135 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22930.2241 -0.263093174 11.9285622 EXIT FROM BFGS code NEW_X -22930.2241 -0.263093174 11.9285622 ENTER BFGS code NEW_X -22930.2241 -0.263093174 11.9285622 EXIT FROM BFGS code FG_LNSRCH 0. -0.25408724 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.543280602 *** contribution from regularisation: 0.00535496464 *** contribution from error: -0.548635542 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22947.0864 -0.25408724 9.18134785 EXIT FROM BFGS code NEW_X -22947.0864 -0.25408724 9.18134785 ENTER BFGS code NEW_X -22947.0864 -0.25408724 9.18134785 EXIT FROM BFGS code FG_LNSRCH 0. -0.196773559 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.544522703 *** contribution from regularisation: 0.00467275176 *** contribution from error: -0.549195468 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22999.5488 -0.196773559 28.1651039 EXIT FROM BFGS code NEW_X -22999.5488 -0.196773559 28.1651039 ENTER BFGS code NEW_X -22999.5488 -0.196773559 28.1651039 EXIT FROM BFGS code FG_LNSRCH 0. -0.155411974 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 31.369381 sigma out 15 active outputs RANK 2 NODE 1 --> 20.0230732 sigma out 15 active outputs RANK 3 NODE 8 --> 16.7629948 sigma out 15 active outputs RANK 4 NODE 9 --> 16.497015 sigma out 15 active outputs RANK 5 NODE 4 --> 16.3925362 sigma out 15 active outputs RANK 6 NODE 3 --> 12.9122467 sigma out 15 active outputs RANK 7 NODE 7 --> 12.8411798 sigma out 15 active outputs RANK 8 NODE 6 --> 8.44164085 sigma out 15 active outputs RANK 9 NODE 5 --> 7.33794117 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 24.2379036 sigma in 9act. ( 24.0071011 sig out 1act.) RANK 2 NODE 7 --> 19.9285812 sigma in 9act. ( 21.0689602 sig out 1act.) RANK 3 NODE 1 --> 17.3421669 sigma in 9act. ( 16.9828968 sig out 1act.) RANK 4 NODE 14 --> 17.0560627 sigma in 9act. ( 12.8033609 sig out 1act.) RANK 5 NODE 6 --> 14.6884527 sigma in 9act. ( 15.1418447 sig out 1act.) RANK 6 NODE 11 --> 13.2603102 sigma in 9act. ( 10.8474426 sig out 1act.) RANK 7 NODE 5 --> 13.0582342 sigma in 9act. ( 12.3028002 sig out 1act.) RANK 8 NODE 3 --> 12.8631868 sigma in 9act. ( 11.7453136 sig out 1act.) RANK 9 NODE 13 --> 12.5708275 sigma in 9act. ( 12.0951633 sig out 1act.) RANK 10 NODE 8 --> 9.47802639 sigma in 9act. ( 7.60586739 sig out 1act.) RANK 11 NODE 2 --> 5.86746359 sigma in 9act. ( 5.45374393 sig out 1act.) RANK 12 NODE 15 --> 5.71483898 sigma in 9act. ( 4.61422634 sig out 1act.) RANK 13 NODE 9 --> 4.44343758 sigma in 9act. ( 3.16500092 sig out 1act.) RANK 14 NODE 12 --> 4.26339722 sigma in 9act. ( 3.05657721 sig out 1act.) RANK 15 NODE 4 --> 2.61520147 sigma in 9act. ( 1.10656083 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 24.0071011 sigma out 1act.( 24.2379036 sig in 9act.) RANK 2 NODE 7 --> 21.0689602 sigma out 1act.( 19.9285812 sig in 9act.) RANK 3 NODE 1 --> 16.9828968 sigma out 1act.( 17.3421669 sig in 9act.) RANK 4 NODE 6 --> 15.1418447 sigma out 1act.( 14.6884527 sig in 9act.) RANK 5 NODE 14 --> 12.8033609 sigma out 1act.( 17.0560627 sig in 9act.) RANK 6 NODE 5 --> 12.3028002 sigma out 1act.( 13.0582342 sig in 9act.) RANK 7 NODE 13 --> 12.0951633 sigma out 1act.( 12.5708275 sig in 9act.) RANK 8 NODE 3 --> 11.7453136 sigma out 1act.( 12.8631868 sig in 9act.) RANK 9 NODE 11 --> 10.8474426 sigma out 1act.( 13.2603102 sig in 9act.) RANK 10 NODE 8 --> 7.60586739 sigma out 1act.( 9.47802639 sig in 9act.) RANK 11 NODE 2 --> 5.45374393 sigma out 1act.( 5.86746359 sig in 9act.) RANK 12 NODE 15 --> 4.61422634 sigma out 1act.( 5.71483898 sig in 9act.) RANK 13 NODE 9 --> 3.16500092 sigma out 1act.( 4.44343758 sig in 9act.) RANK 14 NODE 12 --> 3.05657721 sigma out 1act.( 4.26339722 sig in 9act.) RANK 15 NODE 4 --> 1.10656083 sigma out 1act.( 2.61520147 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 48.8323784 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.544496834 *** contribution from regularisation: 0.00554352067 *** contribution from error: -0.550040364 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -22998.4574 -0.155411974 -46.3921509 EXIT FROM BFGS code FG_LNSRCH 0. -0.180682987 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.544435084 *** contribution from regularisation: 0.00552648678 *** contribution from error: -0.549961567 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22995.8491 -0.180682987 0.46984759 EXIT FROM BFGS code FG_LNSRCH 0. -0.19304347 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.543911874 *** contribution from regularisation: 0.00550892809 *** contribution from error: -0.549420774 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22973.7496 -0.19304347 21.8335075 EXIT FROM BFGS code FG_LNSRCH 0. -0.19657971 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.543704391 *** contribution from regularisation: 0.00550385378 *** contribution from error: -0.549208224 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22964.9866 -0.19657971 27.696806 EXIT FROM BFGS code FG_LNSRCH 0. -0.196773052 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.543735564 *** contribution from regularisation: 0.00545988465 *** contribution from error: -0.549195468 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22966.3034 -0.196773052 28.0191441 EXIT FROM BFGS code FG_LNSRCH 0. -0.196773559 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.543762445 *** contribution from regularisation: 0.00543295266 *** contribution from error: -0.549195409 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22967.4394 -0.196773559 27.9943371 EXIT FROM BFGS code FG_LNSRCH 0. -0.196773559 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.543788254 *** contribution from regularisation: 0.00540714851 *** contribution from error: -0.549195409 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22968.5293 -0.196773559 27.9960632 EXIT FROM BFGS code FG_LNSRCH 0. -0.196773559 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.543771982 *** contribution from regularisation: 0.00542344013 *** contribution from error: -0.549195409 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22967.8412 -0.196773559 28.0337563 EXIT FROM BFGS code NEW_X -22967.8412 -0.196773559 28.0337563 ENTER BFGS code NEW_X -22967.8412 -0.196773559 28.0337563 EXIT FROM BFGS code CONVERGENC -22967.8412 -0.196773559 28.0337563 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 40.8441658 sigma out 15 active outputs RANK 2 NODE 1 --> 30.1557331 sigma out 15 active outputs RANK 3 NODE 9 --> 20.4171829 sigma out 15 active outputs RANK 4 NODE 4 --> 20.2542 sigma out 15 active outputs RANK 5 NODE 8 --> 18.3964138 sigma out 15 active outputs RANK 6 NODE 7 --> 17.934866 sigma out 15 active outputs RANK 7 NODE 3 --> 16.4448357 sigma out 15 active outputs RANK 8 NODE 6 --> 11.9436903 sigma out 15 active outputs RANK 9 NODE 5 --> 9.22574902 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 30.8280888 sigma in 9act. ( 30.1779861 sig out 1act.) RANK 2 NODE 14 --> 24.7557888 sigma in 9act. ( 16.8377323 sig out 1act.) RANK 3 NODE 7 --> 24.4232616 sigma in 9act. ( 25.1827145 sig out 1act.) RANK 4 NODE 1 --> 22.3094559 sigma in 9act. ( 21.4141064 sig out 1act.) RANK 5 NODE 6 --> 20.8823929 sigma in 9act. ( 20.1952648 sig out 1act.) RANK 6 NODE 11 --> 17.9399395 sigma in 9act. ( 14.6384573 sig out 1act.) RANK 7 NODE 3 --> 17.6656036 sigma in 9act. ( 15.6282806 sig out 1act.) RANK 8 NODE 5 --> 15.2256336 sigma in 9act. ( 14.3438988 sig out 1act.) RANK 9 NODE 13 --> 14.9843769 sigma in 9act. ( 13.6554832 sig out 1act.) RANK 10 NODE 8 --> 13.5883417 sigma in 9act. ( 9.78763103 sig out 1act.) RANK 11 NODE 2 --> 7.93089104 sigma in 9act. ( 7.24935484 sig out 1act.) RANK 12 NODE 15 --> 7.3694191 sigma in 9act. ( 6.81209278 sig out 1act.) RANK 13 NODE 9 --> 5.71435022 sigma in 9act. ( 4.81745815 sig out 1act.) RANK 14 NODE 12 --> 5.60895824 sigma in 9act. ( 3.99385476 sig out 1act.) RANK 15 NODE 4 --> 3.64158463 sigma in 9act. ( 2.26223278 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 30.1779861 sigma out 1act.( 30.8280888 sig in 9act.) RANK 2 NODE 7 --> 25.1827145 sigma out 1act.( 24.4232616 sig in 9act.) RANK 3 NODE 1 --> 21.4141064 sigma out 1act.( 22.3094559 sig in 9act.) RANK 4 NODE 6 --> 20.1952648 sigma out 1act.( 20.8823929 sig in 9act.) RANK 5 NODE 14 --> 16.8377323 sigma out 1act.( 24.7557888 sig in 9act.) RANK 6 NODE 3 --> 15.6282806 sigma out 1act.( 17.6656036 sig in 9act.) RANK 7 NODE 11 --> 14.6384573 sigma out 1act.( 17.9399395 sig in 9act.) RANK 8 NODE 5 --> 14.3438988 sigma out 1act.( 15.2256336 sig in 9act.) RANK 9 NODE 13 --> 13.6554832 sigma out 1act.( 14.9843769 sig in 9act.) RANK 10 NODE 8 --> 9.78763103 sigma out 1act.( 13.5883417 sig in 9act.) RANK 11 NODE 2 --> 7.24935484 sigma out 1act.( 7.93089104 sig in 9act.) RANK 12 NODE 15 --> 6.81209278 sigma out 1act.( 7.3694191 sig in 9act.) RANK 13 NODE 9 --> 4.81745815 sigma out 1act.( 5.71435022 sig in 9act.) RANK 14 NODE 12 --> 3.99385476 sigma out 1act.( 5.60895824 sig in 9act.) RANK 15 NODE 4 --> 2.26223278 sigma out 1act.( 3.64158463 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 61.5189514 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.543715537 *** contribution from regularisation: 0.00547987083 *** contribution from error: -0.549195409 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done