NNInput NNInputs_130.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= 11831 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 = 3064 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 3064 Chosen entries: 3064 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.349492 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 3064 Entries to split: 3064 Test with : 1532 Train with : 1532 ********************************************* * 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= 3064 for Signal Prepared event 0 for Signal with 3064 events ====Entry 0 Variable Ht : 217.514 Variable LepAPt : 32.8477 Variable LepBPt : 16.9473 Variable MetSigLeptonsJets : 5.58084 Variable MetSpec : 60.0205 Variable SumEtLeptonsJets : 149.318 Variable VSumJetLeptonsPt : 67.6097 Variable addEt : 117.991 Variable dPhiLepSumMet : 1.24275 Variable dPhiLeptons : 0.493923 Variable dRLeptons : 0.500736 Variable lep1_E : 46.5076 Variable lep2_E : 25.4765 ===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 = 2130 Ht = 217.514 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 32.8478 LepAPt = 32.8477 LepBEt = 16.9476 LepBPt = 16.9473 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 68.1956 MetDelPhi = 1.07612 MetSig = 5.13147 MetSigLeptonsJets = 5.58084 MetSpec = 60.0205 Mjj = 0 MostCentralJetEta = -0.264985 MtllMet = 130.2 Njets = 1 SB = 0 SumEt = 176.615 SumEtJets = 0 SumEtLeptonsJets = 149.318 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 67.6097 addEt = 117.991 dPhiLepSumMet = 1.24275 dPhiLeptons = 0.493923 dRLeptons = 0.500736 diltype = 43 dimass = 11.7017 event = 238 jet1_Et = 99.5233 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 46.5076 lep2_E = 25.4765 rand = 0.999742 run = 154180 weight = 1.98158e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 3.93808 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 303 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 11831 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 303 negative weights. Signal fraction: 66.5051346 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 56.5035744 61.4185257 65.6799011 67.1979675 68.3614502 68.6018524 68.8757401 70.2056885 72.2451401 73.4309464 74.4239197 74.4365921 75.5462418 76.2406769 79.0582962 79.7868118 80.5700989 80.6521149 82.1760101 83.6962891 85.2439728 86.7552261 87.8944702 88.5266266 89.2395782 89.2397995 90.6617432 91.5557938 92.0376663 92.058609 93.1496124 94.0949249 95.1959839 95.2755585 95.6023483 96.3868408 96.6283722 97.2838669 97.2866974 98.8018188 99.9218445 100.225662 101.164337 101.54155 101.724609 102.12262 102.456696 103.567673 104.44117 105.436951 105.937531 106.628334 107.6819 108.759811 109.776169 110.763382 110.816582 111.706558 112.883865 114.22477 115.215134 116.090469 116.249969 117.942902 119.031723 120.122818 121.004105 121.96283 122.93779 123.760269 125.038742 125.23439 126.018661 127.049362 128.7117 130.8078 132.455933 134.345917 135.621552 137.532181 139.303391 141.397736 143.437531 146.700592 148.068939 148.315109 150.3284 152.246292 156.218338 158.98111 163.340576 166.140747 169.721924 174.078583 181.971375 188.674927 195.977539 206.011002 221.412964 252.174576 465.920532 ------------------------------ Transdef: Tab for variable 3 20.0010433 20.1094894 20.4813194 20.9693413 21.4176712 22.0010567 22.0057678 22.1466026 22.4800224 22.874939 23.3446007 23.5701065 23.5912209 23.7371216 23.8530197 23.9124374 24.1024704 24.3531418 24.595871 24.952549 25.2234612 25.4919586 25.7222672 25.9445534 26.1318493 26.177433 26.4499321 26.5994949 26.7414551 26.9540443 27.0479031 27.1256409 27.3608665 27.5621204 27.7287235 27.9236259 28.0250549 28.2587509 28.5889778 28.8911648 29.1118107 29.2977982 29.3685608 29.5556641 29.7598991 29.9833641 30.2260513 30.428915 30.5457172 30.6368065 30.8931179 31.0006695 31.1300201 31.4350452 31.7090645 31.9126415 31.9677296 31.9996147 32.1186142 32.2598114 32.5403366 32.8972092 33.1954041 33.2394714 33.4638672 33.8065681 34.1581345 34.1801262 34.415554 34.5383377 34.9326324 35.3223038 35.5821304 35.8586464 36.2318268 36.6420593 36.8542137 37.0150757 37.4234657 37.5592957 37.8461838 38.0916138 38.1748352 38.6309433 39.1495361 39.6536789 39.9843369 40.2026367 40.9082603 41.5692978 42.2491226 43.2566566 44.0491142 45.0689735 46.2086563 47.7184105 50.0977173 50.767868 51.4625931 55.6695862 94.5824585 ------------------------------ Transdef: Tab for variable 4 10.0092888 10.1780033 10.2462273 10.3759098 10.3774252 10.378602 10.5897751 10.6493073 10.727581 10.7579155 10.9131699 11.0011578 11.0804558 11.2620335 11.2996912 11.381937 11.4198399 11.42062 11.4378223 11.6344852 11.6369791 11.686574 11.8291969 12.0537529 12.187706 12.2003613 12.3856115 12.5795307 12.6544771 12.708622 12.9763165 13.1628437 13.3301048 13.4754333 13.5184298 13.7177887 13.9079933 14.1039543 14.1200724 14.1804562 14.3248425 14.3792725 14.5317307 14.709774 14.9181576 15.1576176 15.358366 15.3602514 15.4487724 15.5239639 15.7097454 15.9754848 16.3097191 16.4598484 16.7317467 16.7333374 17.008255 17.2632294 17.5090904 17.8057251 18.1015606 18.4124699 18.4943562 18.7187786 18.9504547 19.2021885 19.4761734 19.7797375 20.0973225 20.2871895 20.4082527 20.4572067 20.6583557 20.7994194 20.958271 21.1521072 21.3664665 21.5825958 21.7150879 21.8626118 22.1866627 22.4272003 22.6871433 22.9329796 23.3643322 23.7279415 23.9684029 24.3309879 24.6033363 25.0336952 25.4510155 25.811039 26.196022 26.7212372 27.2732849 27.8449783 27.8491707 28.6209488 29.6759453 31.3044739 36.4675331 ------------------------------ Transdef: Tab for variable 5 2.22885442 3.06443143 3.25142336 3.29350233 3.29979467 3.53634787 3.68713903 3.78563404 3.89669895 4.12789536 4.28205299 4.42902184 4.53010321 4.59280729 4.62871361 4.64904642 4.70256615 4.7395401 4.75932884 4.78975677 4.86118698 4.94078922 5.0827508 5.13955879 5.15498495 5.1851058 5.27329922 5.28548145 5.3949151 5.48981094 5.59114933 5.64992523 5.70004082 5.71717882 5.77312279 5.83777142 5.83799124 5.88796425 5.95918846 6.04835987 6.11749458 6.18024063 6.20999432 6.22262859 6.25613499 6.26191664 6.26230764 6.27200508 6.31435871 6.33960104 6.36371613 6.42310333 6.46616173 6.48846674 6.50044155 6.50988245 6.54588509 6.61613274 6.66043282 6.69067621 6.75029373 6.79924202 6.84155941 6.91936207 6.97503281 7.0263052 7.07916546 7.1273098 7.15943909 7.16651154 7.203372 7.26412773 7.31963348 7.37234259 7.42632246 7.43254423 7.48770618 7.5014019 7.53438759 7.58321285 7.63736963 7.67785406 7.73228741 7.80034637 7.84179306 7.85551977 7.9103713 7.98668385 8.10023594 8.15670013 8.26375198 8.38560486 8.47887897 8.50489902 8.62576866 8.77143669 8.92747498 9.21805954 9.59536743 10.1557856 14.3633575 ------------------------------ Transdef: Tab for variable 6 25.0152855 26.7453423 27.0059814 27.205719 27.2810001 27.6402245 28.8004875 29.4311829 29.7458 30.8662243 31.2835484 31.771843 31.8961716 32.6241226 32.9601479 33.4351959 34.3553085 34.8478775 35.0046654 35.7415314 35.9782066 36.3695908 36.4666367 36.4961205 37.4986572 37.5015106 37.8193436 37.8686943 37.96772 38.04105 38.8474197 39.6449127 40.2322388 40.280571 40.5698853 41.3766251 41.884449 42.0736008 42.4538269 42.9111328 43.6463737 43.7539902 44.1987724 44.5534668 44.7560349 44.8212166 45.501545 45.9229889 45.9808731 46.5203133 47.0186005 47.5387573 47.5437393 47.88871 48.2491035 48.6113815 49.0857773 49.4554253 49.988945 50.352211 50.4227028 50.7115021 50.9618378 51.3100357 51.83358 52.4058304 53.0647774 53.6464539 54.1913147 54.6062775 54.958931 55.4231415 55.9639206 56.4761963 56.9730186 57.2100372 57.7727051 58.3706207 58.8441048 59.3432236 59.8489914 60.389473 61.2059937 62.1152191 63.0529594 64.0899963 65.223526 65.7973938 66.3900452 67.0677032 68.2632904 69.5271301 69.6053314 71.2146454 72.7233124 75.0220032 77.2283173 81.1002808 85.0469513 92.0654602 193.358276 ------------------------------ Transdef: Tab for variable 7 30.3449535 32.9031982 34.215313 34.4975319 35.9282455 35.9997482 36.5672112 37.0682678 37.0686226 37.5044746 37.766758 37.7676811 38.2706795 38.318779 39.6993713 40.3697586 40.6083145 40.9812202 41.4025536 41.9663391 41.9757385 42.701252 43.4332962 43.8288269 44.3672485 45.1345139 45.1706848 45.1821976 45.4767456 45.7758484 46.4082184 47.254631 47.2710571 47.8099098 48.4978867 49.1279068 49.6211472 50.0893784 50.5700073 50.5743523 51.1802521 51.7920647 52.4019394 52.9603729 53.5114174 54.1802139 54.8773117 55.5367622 56.1388168 56.7670059 57.3329887 57.9703598 58.7217407 58.837925 59.5472641 60.0632248 60.1555557 60.7191772 61.3168716 61.7051697 62.432251 63.3304482 63.8192291 64.5019226 64.8860474 65.5325012 66.4022827 67.702095 69.0029984 70.3829346 71.645462 72.1536102 73.1538544 75.1333618 76.6620178 78.1626205 78.6126556 79.2331696 81.1544952 81.9653168 82.8275604 84.8701782 86.4479523 88.1938171 90.2932129 92.3352661 93.7423325 94.9800873 96.7598267 98.8760529 102.569397 105.500603 108.981163 112.101944 118.396912 123.748955 130.809891 141.278473 150.659592 173.107819 264.503815 ------------------------------ Transdef: Tab for variable 8 1.83868217 26.8636322 28.3040924 29.602375 30.1748238 31.6989326 32.1014099 32.9853592 32.9905777 33.0537567 33.8970566 33.9923782 34.0553284 34.9095955 35.2181129 35.619175 36.1563416 36.3015366 36.411499 36.6069946 36.8707581 36.9859314 37.0727806 37.6303978 38.6829414 39.3372421 39.3407402 39.923111 40.4261703 40.4391251 41.1162949 41.2147293 41.5666275 41.8178024 42.0591278 42.3358498 42.7855301 43.1748581 43.5708694 44.0272522 44.2798424 44.2895393 44.4595299 44.9756432 45.1755447 45.2191887 45.2421112 45.3199768 45.8395882 46.2843933 46.9522972 47.6114502 47.8660278 48.4139404 48.4494934 48.8888626 49.1365509 49.3431969 49.4698944 49.955143 50.2169876 50.7327538 51.1099586 51.4583359 51.9305305 52.4106026 52.8235397 53.1470871 53.6673203 54.0499115 54.5978279 55.0814285 55.5617294 55.9981384 56.4390869 57.0326691 57.6958885 58.2743607 58.7038765 59.1866608 59.6966705 60.2811661 60.8749237 61.556675 62.0765038 62.8355103 63.737175 64.3919983 65.3963776 66.4817963 68.1830444 69.7157974 70.9903717 73.252121 76.7660522 78.6135864 79.3493347 83.8909378 88.9365845 99.5480347 200.177673 ------------------------------ Transdef: Tab for variable 9 56.5035744 61.4250908 65.1148987 67.2044678 68.3426971 68.3614502 68.8764954 70.2056885 70.8054199 72.6987152 73.4231415 73.9544678 74.4239197 75.2029343 75.5462418 75.5471725 76.8140869 77.0162659 78.892868 79.203949 79.7740021 79.7806625 80.3338165 80.6520996 81.4207458 82.4248428 83.6148071 84.5325241 84.7309723 85.5189667 86.7168045 87.4741669 88.5241928 88.5266266 89.2397995 89.2563782 89.3445511 89.9880219 89.9953384 90.4024048 90.7337952 91.47715 91.8873291 92.0376663 92.6949768 93.2846222 94.0104675 94.7321014 95.4341583 95.6023483 96.3412018 97.197113 98.0849304 99.0246124 99.7813416 100.613937 101.219078 101.54155 101.742157 102.12262 102.399231 102.942566 103.891785 104.44117 105.030975 105.527771 106.301262 106.847771 107.549095 108.162827 108.945465 109.8302 110.521118 111.367432 112.047691 112.988541 113.748131 114.648712 115.316132 116.007477 117.033279 117.907837 118.623413 119.823563 120.51635 121.390762 122.270012 123.227989 124.05442 125.372009 126.462349 127.62439 129.205078 131.278381 133.377441 136.070663 139.634735 142.938751 148.147705 151.609024 265.589417 ------------------------------ Transdef: Tab for variable 10 0.323437154 0.96818459 1.20482528 1.48228836 1.65004992 1.80038643 1.87862778 1.96069932 2.07253695 2.1329689 2.19671702 2.2332716 2.24156141 2.27950048 2.32271099 2.32640409 2.37310505 2.41129112 2.44305038 2.45367861 2.47945428 2.49245071 2.52773094 2.56493664 2.59735012 2.61231327 2.61862659 2.6192615 2.62488079 2.65297413 2.67483425 2.69855881 2.72920299 2.75665832 2.77917528 2.79424024 2.81761408 2.83116484 2.84106493 2.84534216 2.84538293 2.8635509 2.87211466 2.87982655 2.88938189 2.89654016 2.89959288 2.91279745 2.91935444 2.93722582 2.94943452 2.95949936 2.96563292 2.96906805 2.97853637 2.9785614 2.98398209 2.98398662 2.99203968 3.00245547 3.00654626 3.01401377 3.01925588 3.0249362 3.02825332 3.02957869 3.03560257 3.03769588 3.04207516 3.04789066 3.05215573 3.05390859 3.0568397 3.06202626 3.06833005 3.07301855 3.07776165 3.08226538 3.08648968 3.08961415 3.09422731 3.09483242 3.09660649 3.09674263 3.09678388 3.10045433 3.10525894 3.10575724 3.11249352 3.11609864 3.11649704 3.12023139 3.12381721 3.12906647 3.12910247 3.13115811 3.13281679 3.13385415 3.13403678 3.13804841 3.14159226 ------------------------------ Transdef: Tab for variable 11 0.000411868095 0.00155878067 0.00448817015 0.00965118408 0.0241158009 0.0241246223 0.0367348194 0.049697876 0.0607944131 0.0719350576 0.0793178678 0.0919800997 0.0975515544 0.104496479 0.115933895 0.130308986 0.137144089 0.139234006 0.151177287 0.154163361 0.158794403 0.170444518 0.171859264 0.183312297 0.194103241 0.203550696 0.21347785 0.21667552 0.229932904 0.237492025 0.248694539 0.25769645 0.264965564 0.268768728 0.269250453 0.275842428 0.278776169 0.287381947 0.296521604 0.306172132 0.315190315 0.315500498 0.325079262 0.336056769 0.340013981 0.34293282 0.345189095 0.350560874 0.360360086 0.365620494 0.372268438 0.380960941 0.387120903 0.394268632 0.401564687 0.407254696 0.413260818 0.421013415 0.42582798 0.426409006 0.431082428 0.435921669 0.436746955 0.442854881 0.451773643 0.457825303 0.460266829 0.46562463 0.473090112 0.474806398 0.482094407 0.489181936 0.494283289 0.503685057 0.509526193 0.512488008 0.519926071 0.525475919 0.534357071 0.535563946 0.543420434 0.544818699 0.545418859 0.551687956 0.562061727 0.572392583 0.581207633 0.594819129 0.611030817 0.624486864 0.633352101 0.638013124 0.664014399 0.685963631 0.712530732 0.715330958 0.756544232 0.802847981 0.802864075 0.863814354 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.211730883 0.229011357 0.251678169 0.285422295 0.304512054 0.324374378 0.336134493 0.348887265 0.360201359 0.398423374 0.403389871 0.407198757 0.412201345 0.415703416 0.419629037 0.422342956 0.426322907 0.431042194 0.433893085 0.436996758 0.439613879 0.443047941 0.446777046 0.450835109 0.454329193 0.457524478 0.462181717 0.465642095 0.468897939 0.471926361 0.474951148 0.47759825 0.482384473 0.484839261 0.487182349 0.491399229 0.494080603 0.497719109 0.50059849 0.500605464 0.505863726 0.509606361 0.513522983 0.516473532 0.517946005 0.518139362 0.520063281 0.523333669 0.527444601 0.531006455 0.536537886 0.540318072 0.545012593 0.548829556 0.552711368 0.557487845 0.559661508 0.56059444 0.565832376 0.569146633 0.575069785 0.57728076 0.579111874 0.580438375 0.586945534 0.592975557 0.593857527 0.598469377 0.604771733 0.611533582 0.618176758 0.624772191 0.63128674 0.638441503 0.646313667 0.652794778 0.660378098 0.667437494 0.675218225 0.675648808 0.678419471 0.683454394 0.690757871 0.697323561 0.704567969 0.723586679 0.741809189 0.748865128 0.753841341 0.769390643 0.770746768 0.771338284 0.783682227 0.804585814 0.836303711 0.86005801 0.872970462 0.876822591 0.917575955 1.13414526 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.7892857 22.8411808 23.0048523 23.6789627 23.7518826 24.2152061 24.4355125 24.6202717 24.9589062 25.0613289 25.5197868 25.9212761 26.4370747 26.9017143 27.0184517 27.2780933 27.6114216 27.8597736 28.0045319 28.3530598 28.6253891 28.6448326 28.9056911 29.2081833 29.2385445 29.6044273 30.0275021 30.3151741 30.5591202 30.6197872 31.056715 31.0666351 31.3955975 31.7268238 32.0188522 32.3104477 32.3310165 32.6821823 32.6829376 33.0600319 33.0802574 33.3845177 33.6048775 33.6313858 33.8063469 33.9001923 34.4029922 34.5442009 34.6014862 34.7261658 34.9327812 35.3552246 35.38694 35.8213654 36.3143921 36.7185287 37.0622253 37.269577 37.6525002 37.9948654 38.1255417 38.3553963 38.673317 38.9123726 39.4226456 39.5920868 39.7506981 40.1452866 40.6573944 41.1573639 41.1985855 41.6133041 42.1456833 42.6280365 42.7316437 43.2033386 43.5500336 43.9019165 44.2666092 44.9076538 45.5401154 46.0627747 46.7199593 47.4499817 48.3047638 49.3097725 49.9398422 50.931221 51.7347145 52.7673988 53.927845 55.2063065 55.2203217 57.209198 58.9583397 59.1473999 60.9847603 64.8554077 72.3665466 109.820335 ------------------------------ Transdef: Tab for variable 14 10.0686779 10.2658587 10.7234955 10.7241497 10.8574562 11.2070436 11.3119946 11.3961935 11.4388294 11.4972868 11.7281876 11.7285557 11.7891397 11.7933626 12.1027584 12.2188196 12.3014278 12.446826 12.6838741 12.7406597 13.1776886 13.4522009 13.4805012 13.7880201 14.1474762 14.5075226 14.5085974 14.7745361 15.0806932 15.346096 15.5816174 15.5823536 15.9476509 16.2683678 16.3323536 16.3379345 16.5615921 16.8388958 16.9315414 16.9546909 17.1101017 17.4139271 17.7256203 17.9671135 18.2506447 18.2863808 18.6648846 18.9412136 19.2473373 19.4898281 19.8763618 20.1521149 20.442215 20.6571617 20.8481712 21.0455475 21.1968956 21.3193932 21.5748367 21.8488159 22.0533905 22.3858871 22.6404552 22.9175262 23.1342621 23.4811096 23.7052765 23.7604828 24.1154442 24.4454708 24.7573566 25.1095657 25.4801197 25.8168354 26.1088715 26.3847389 26.7853222 27.2347221 27.7014084 28.0991135 28.5445766 29.1393929 29.5195351 29.967514 30.2758102 30.6107674 31.3013248 31.7182388 32.3758011 33.3396683 33.9407616 34.4586716 35.3619194 36.0727463 36.6205673 38.084938 39.4540787 40.149086 41.1837997 44.8276482 65.4020844 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 43.2 13.3 36.4 17.5 34.1 37.9 40.2 42.0 -18.5 -2.3 4.3 15.4 32.5 2 43.2 100.0 51.7 40.1 18.2 61.0 93.4 63.6 84.7 -52.0 -29.2 -25.7 47.5 38.8 3 13.3 51.7 100.0 10.5 -0.5 23.8 53.1 36.5 60.5 -10.1 -22.1 -22.4 84.8 12.6 4 36.4 40.1 10.5 100.0 8.3 25.1 38.7 34.8 48.5 -9.8 -26.4 -41.8 19.1 83.7 5 17.5 18.2 -0.5 8.3 100.0 82.4 -13.4 50.0 55.4 32.9 -1.7 11.2 -2.6 6.8 6 34.1 61.0 23.8 25.1 82.4 100.0 34.7 75.3 82.0 -0.3 -15.8 -2.7 19.2 21.6 7 37.9 93.4 53.1 38.7 -13.4 34.7 100.0 51.4 67.5 -61.1 -29.6 -31.5 48.7 37.8 8 40.2 63.6 36.5 34.8 50.0 75.3 51.4 100.0 77.8 -6.9 -19.7 -15.1 30.7 29.8 9 42.0 84.7 60.5 48.5 55.4 82.0 67.5 77.8 100.0 -17.2 -27.9 -23.7 54.3 44.2 10 -18.5 -52.0 -10.1 -9.8 32.9 -0.3 -61.1 -6.9 -17.2 100.0 23.0 21.9 -11.3 -12.5 11 -2.3 -29.2 -22.1 -26.4 -1.7 -15.8 -29.6 -19.7 -27.9 23.0 100.0 51.1 -21.3 -30.7 12 4.3 -25.7 -22.4 -41.8 11.2 -2.7 -31.5 -15.1 -23.7 21.9 51.1 100.0 -23.8 -36.8 13 15.4 47.5 84.8 19.1 -2.6 19.2 48.7 30.7 54.3 -11.3 -21.3 -23.8 100.0 33.7 14 32.5 38.8 12.6 83.7 6.8 21.6 37.8 29.8 44.2 -12.5 -30.7 -36.8 33.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 106.340431 TOTAL CORRELATION OF ALL VARIABLES 56.7002401 ROUND 1: MAX CORR ( 56.6999924) AFTER KILLING INPUT VARIABLE 7 CONTR 0.167593549 ROUND 2: MAX CORR ( 56.688163) AFTER KILLING INPUT VARIABLE 14 CONTR 1.15815246 ROUND 3: MAX CORR ( 56.6570549) AFTER KILLING INPUT VARIABLE 3 CONTR 1.87775155 ROUND 4: MAX CORR ( 56.5341697) AFTER KILLING INPUT VARIABLE 6 CONTR 3.72954883 ROUND 5: MAX CORR ( 56.3715844) AFTER KILLING INPUT VARIABLE 13 CONTR 4.28448523 ROUND 6: MAX CORR ( 56.2050056) AFTER KILLING INPUT VARIABLE 11 CONTR 4.33045808 ROUND 7: MAX CORR ( 56.0136613) AFTER KILLING INPUT VARIABLE 5 CONTR 4.63383221 ROUND 8: MAX CORR ( 55.957129) AFTER KILLING INPUT VARIABLE 9 CONTR 2.51594408 ROUND 9: MAX CORR ( 55.4244985) AFTER KILLING INPUT VARIABLE 10 CONTR 7.70228866 ROUND 10: MAX CORR ( 54.0457529) AFTER KILLING INPUT VARIABLE 8 CONTR 12.2854235 ROUND 11: MAX CORR ( 47.9185226) AFTER KILLING INPUT VARIABLE 12 CONTR 24.9951714 ROUND 12: MAX CORR ( 43.1640873) AFTER KILLING INPUT VARIABLE 4 CONTR 20.8097664 LAST REMAINING VARIABLE: 2 total correlation to target: 56.7002401 % total significance: 27.1424965 sigma correlations of single variables to target: variable 2: 43.1640873 % , in sigma: 20.6627183 variable 3: 13.2529347 % , in sigma: 6.34420127 variable 4: 36.3620819 % , in sigma: 17.4065874 variable 5: 17.5476099 % , in sigma: 8.40006919 variable 6: 34.0999312 % , in sigma: 16.3236921 variable 7: 37.8893405 % , in sigma: 18.1376885 variable 8: 40.2385071 % , in sigma: 19.2622383 variable 9: 41.963473 % , in sigma: 20.0879823 variable 10: -18.5008955 % , in sigma: 8.85640858 variable 11: -2.3283441 % , in sigma: 1.11458208 variable 12: 4.34738474 % , in sigma: 2.0811001 variable 13: 15.4082729 % , in sigma: 7.37596512 variable 14: 32.509876 % , in sigma: 15.5625302 variables sorted by significance: 1 most relevant variable 2 corr 43.1640854 , in sigma: 20.6627174 2 most relevant variable 4 corr 20.8097668 , in sigma: 9.96166897 3 most relevant variable 12 corr 24.9951706 , in sigma: 11.9652285 4 most relevant variable 8 corr 12.2854233 , in sigma: 5.88105197 5 most relevant variable 10 corr 7.70228863 , in sigma: 3.68709801 6 most relevant variable 9 corr 2.515944 , in sigma: 1.20438646 7 most relevant variable 5 corr 4.63383198 , in sigma: 2.21822285 8 most relevant variable 11 corr 4.33045816 , in sigma: 2.07299732 9 most relevant variable 13 corr 4.28448534 , in sigma: 2.05099005 10 most relevant variable 6 corr 3.72954893 , in sigma: 1.7853411 11 most relevant variable 3 corr 1.87775159 , in sigma: 0.898882719 12 most relevant variable 14 corr 1.15815246 , in sigma: 0.554409454 13 most relevant variable 7 corr 0.167593554 , in sigma: 0.0802273049 global correlations between input variables: variable 2: 99.0398116 % variable 3: 95.039485 % variable 4: 91.9608778 % variable 5: 97.1566972 % variable 6: 95.7472982 % variable 7: 98.6093421 % variable 8: 85.1354078 % variable 9: 99.0734403 % variable 10: 75.1926816 % variable 11: 57.1127255 % variable 12: 62.7933119 % variable 13: 89.7762524 % variable 14: 88.9817216 % significance loss when removing single variables: variable 2: corr = 6.15804378 % , sigma = 2.94786551 variable 3: corr = 2.09453084 % , sigma = 1.0026553 variable 4: corr = 14.669248 % , sigma = 7.0221927 variable 5: corr = 6.39056377 % , sigma = 3.0591732 variable 6: corr = 3.49700427 % , sigma = 1.67402159 variable 7: corr = 0.167593549 % , sigma = 0.0802273026 variable 8: corr = 13.5295687 % , sigma = 6.47662641 variable 9: corr = 5.56264118 % , sigma = 2.66284532 variable 10: corr = 7.00847761 % , sigma = 3.35496955 variable 11: corr = 4.50799472 % , sigma = 2.15798436 variable 12: corr = 19.6787675 % , sigma = 9.4202578 variable 13: corr = 1.4978216 % , sigma = 0.717009618 variable 14: corr = 1.14146346 % , sigma = 0.546420403 Keep only 4 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 5 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 5.79113245 sigma out 15 active outputs RANK 2 NODE 4 --> 4.51682234 sigma out 15 active outputs RANK 3 NODE 2 --> 4.34638023 sigma out 15 active outputs RANK 4 NODE 3 --> 3.96417117 sigma out 15 active outputs RANK 5 NODE 1 --> 3.91188645 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 6.23979855 sigma in 5act. ( 6.16144705 sig out 1act.) RANK 2 NODE 12 --> 4.57514668 sigma in 5act. ( 5.09151793 sig out 1act.) RANK 3 NODE 11 --> 3.96497893 sigma in 5act. ( 4.53839684 sig out 1act.) RANK 4 NODE 10 --> 2.78005195 sigma in 5act. ( 3.20978022 sig out 1act.) RANK 5 NODE 8 --> 2.623034 sigma in 5act. ( 3.17077351 sig out 1act.) RANK 6 NODE 14 --> 2.03861046 sigma in 5act. ( 1.21752977 sig out 1act.) RANK 7 NODE 9 --> 1.93471646 sigma in 5act. ( 2.0551281 sig out 1act.) RANK 8 NODE 1 --> 1.07519054 sigma in 5act. ( 1.04874909 sig out 1act.) RANK 9 NODE 2 --> 1.03475678 sigma in 5act. ( 1.22004676 sig out 1act.) RANK 10 NODE 15 --> 0.811936021 sigma in 5act. ( 0.547532141 sig out 1act.) RANK 11 NODE 6 --> 0.79928261 sigma in 5act. ( 0.374148548 sig out 1act.) RANK 12 NODE 4 --> 0.776984572 sigma in 5act. ( 0.255942464 sig out 1act.) RANK 13 NODE 7 --> 0.74960506 sigma in 5act. ( 0.30250451 sig out 1act.) RANK 14 NODE 3 --> 0.742186964 sigma in 5act. ( 0.103200838 sig out 1act.) RANK 15 NODE 13 --> 0.714113116 sigma in 5act. ( 0.195490539 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 6.16144705 sigma out 1act.( 6.23979855 sig in 5act.) RANK 2 NODE 12 --> 5.09151793 sigma out 1act.( 4.57514668 sig in 5act.) RANK 3 NODE 11 --> 4.53839684 sigma out 1act.( 3.96497893 sig in 5act.) RANK 4 NODE 10 --> 3.20978022 sigma out 1act.( 2.78005195 sig in 5act.) RANK 5 NODE 8 --> 3.17077351 sigma out 1act.( 2.623034 sig in 5act.) RANK 6 NODE 9 --> 2.0551281 sigma out 1act.( 1.93471646 sig in 5act.) RANK 7 NODE 2 --> 1.22004676 sigma out 1act.( 1.03475678 sig in 5act.) RANK 8 NODE 14 --> 1.21752977 sigma out 1act.( 2.03861046 sig in 5act.) RANK 9 NODE 1 --> 1.04874909 sigma out 1act.( 1.07519054 sig in 5act.) RANK 10 NODE 15 --> 0.547532141 sigma out 1act.( 0.811936021 sig in 5act.) RANK 11 NODE 6 --> 0.374148548 sigma out 1act.( 0.79928261 sig in 5act.) RANK 12 NODE 7 --> 0.30250451 sigma out 1act.( 0.74960506 sig in 5act.) RANK 13 NODE 4 --> 0.255942464 sigma out 1act.( 0.776984572 sig in 5act.) RANK 14 NODE 13 --> 0.195490539 sigma out 1act.( 0.714113116 sig in 5act.) RANK 15 NODE 3 --> 0.103200838 sigma out 1act.( 0.742186964 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.6667948 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 8.87653542 sigma out 15 active outputs RANK 2 NODE 1 --> 7.44193554 sigma out 15 active outputs RANK 3 NODE 4 --> 6.73369169 sigma out 15 active outputs RANK 4 NODE 3 --> 6.65507603 sigma out 15 active outputs RANK 5 NODE 2 --> 5.27161598 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 8.32836151 sigma in 5act. ( 9.0747757 sig out 1act.) RANK 2 NODE 2 --> 5.59710455 sigma in 5act. ( 5.00380564 sig out 1act.) RANK 3 NODE 11 --> 5.14977169 sigma in 5act. ( 5.61418867 sig out 1act.) RANK 4 NODE 14 --> 4.7973299 sigma in 5act. ( 1.94995177 sig out 1act.) RANK 5 NODE 9 --> 4.45412874 sigma in 5act. ( 2.42096853 sig out 1act.) RANK 6 NODE 12 --> 4.43836355 sigma in 5act. ( 5.27369404 sig out 1act.) RANK 7 NODE 8 --> 4.42553091 sigma in 5act. ( 6.16729259 sig out 1act.) RANK 8 NODE 10 --> 3.67366838 sigma in 5act. ( 2.96795511 sig out 1act.) RANK 9 NODE 6 --> 2.96289444 sigma in 5act. ( 1.00988972 sig out 1act.) RANK 10 NODE 7 --> 2.7533524 sigma in 5act. ( 0.802489281 sig out 1act.) RANK 11 NODE 13 --> 2.04319644 sigma in 5act. ( 0.526593864 sig out 1act.) RANK 12 NODE 15 --> 1.76266778 sigma in 5act. ( 0.450167835 sig out 1act.) RANK 13 NODE 3 --> 1.62142479 sigma in 5act. ( 0.435492605 sig out 1act.) RANK 14 NODE 4 --> 1.29727113 sigma in 5act. ( 0.303552538 sig out 1act.) RANK 15 NODE 1 --> 0.895204246 sigma in 5act. ( 0.0716445968 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 9.0747757 sigma out 1act.( 8.32836151 sig in 5act.) RANK 2 NODE 8 --> 6.16729259 sigma out 1act.( 4.42553091 sig in 5act.) RANK 3 NODE 11 --> 5.61418867 sigma out 1act.( 5.14977169 sig in 5act.) RANK 4 NODE 12 --> 5.27369404 sigma out 1act.( 4.43836355 sig in 5act.) RANK 5 NODE 2 --> 5.00380564 sigma out 1act.( 5.59710455 sig in 5act.) RANK 6 NODE 10 --> 2.96795511 sigma out 1act.( 3.67366838 sig in 5act.) RANK 7 NODE 9 --> 2.42096853 sigma out 1act.( 4.45412874 sig in 5act.) RANK 8 NODE 14 --> 1.94995177 sigma out 1act.( 4.7973299 sig in 5act.) RANK 9 NODE 6 --> 1.00988972 sigma out 1act.( 2.96289444 sig in 5act.) RANK 10 NODE 7 --> 0.802489281 sigma out 1act.( 2.7533524 sig in 5act.) RANK 11 NODE 13 --> 0.526593864 sigma out 1act.( 2.04319644 sig in 5act.) RANK 12 NODE 15 --> 0.450167835 sigma out 1act.( 1.76266778 sig in 5act.) RANK 13 NODE 3 --> 0.435492605 sigma out 1act.( 1.62142479 sig in 5act.) RANK 14 NODE 4 --> 0.303552538 sigma out 1act.( 1.29727113 sig in 5act.) RANK 15 NODE 1 --> 0.0716445968 sigma out 1act.( 0.895204246 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 15.0219507 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.435735762 *** contribution from regularisation: 0.0172169413 *** contribution from error: -0.452952713 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.488834232 *** contribution from regularisation: 0.0102221863 *** contribution from error: -0.499056429 *********************************************** -----------------> Test sample ENTER BFGS code START -2892.04595 0.576043248 0.567475438 EXIT FROM BFGS code FG_START 0. 0.576043248 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.499328017 *** contribution from regularisation: 0.00747202989 *** contribution from error: -0.506800056 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -2953.52515 0.576043248 7.39788818 EXIT FROM BFGS code FG_LNSRCH 0. 0.641456604 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.496750563 *** contribution from regularisation: 0.0130197182 *** contribution from error: -0.509770274 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2938.27964 0.641456604 -14.5862522 EXIT FROM BFGS code FG_LNSRCH 0. 0.603679597 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.503202498 *** contribution from regularisation: 0.0113659156 *** contribution from error: -0.514568388 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2976.44282 0.603679597 -0.851961672 EXIT FROM BFGS code NEW_X -2976.44282 0.603679597 -0.851961672 ENTER BFGS code NEW_X -2976.44282 0.603679597 -0.851961672 EXIT FROM BFGS code FG_LNSRCH 0. 0.605288625 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.504959524 *** contribution from regularisation: 0.0108946571 *** contribution from error: -0.51585418 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2986.83549 0.605288625 -0.916137099 EXIT FROM BFGS code NEW_X -2986.83549 0.605288625 -0.916137099 ENTER BFGS code NEW_X -2986.83549 0.605288625 -0.916137099 EXIT FROM BFGS code FG_LNSRCH 0. 0.607771873 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.504852355 *** contribution from regularisation: 0.0107054394 *** contribution from error: -0.515557766 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2986.20158 0.607771873 -0.179585069 EXIT FROM BFGS code FG_LNSRCH 0. 0.606331706 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.504009008 *** contribution from regularisation: 0.0129033504 *** contribution from error: -0.516912341 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2981.21315 0.606331706 -0.166008741 EXIT FROM BFGS code FG_LNSRCH 0. 0.605455518 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.505656242 *** contribution from regularisation: 0.0104549974 *** contribution from error: -0.516111255 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2990.9568 0.605455518 -0.528945267 EXIT FROM BFGS code NEW_X -2990.9568 0.605455518 -0.528945267 ENTER BFGS code NEW_X -2990.9568 0.605455518 -0.528945267 EXIT FROM BFGS code FG_LNSRCH 0. 0.617474616 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 9.55714035 sigma out 15 active outputs RANK 2 NODE 1 --> 7.17783976 sigma out 15 active outputs RANK 3 NODE 4 --> 5.04366636 sigma out 15 active outputs RANK 4 NODE 3 --> 4.64153147 sigma out 15 active outputs RANK 5 NODE 2 --> 2.64725852 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 8.37319565 sigma in 5act. ( 7.25571966 sig out 1act.) RANK 2 NODE 2 --> 5.37853861 sigma in 5act. ( 4.12779284 sig out 1act.) RANK 3 NODE 14 --> 4.40518713 sigma in 5act. ( 2.97568011 sig out 1act.) RANK 4 NODE 11 --> 4.18392897 sigma in 5act. ( 3.64712071 sig out 1act.) RANK 5 NODE 8 --> 3.74057865 sigma in 5act. ( 3.51996613 sig out 1act.) RANK 6 NODE 10 --> 2.94735456 sigma in 5act. ( 2.17137599 sig out 1act.) RANK 7 NODE 9 --> 2.88626313 sigma in 5act. ( 1.00496542 sig out 1act.) RANK 8 NODE 12 --> 2.73496222 sigma in 5act. ( 2.39026809 sig out 1act.) RANK 9 NODE 6 --> 2.67736435 sigma in 5act. ( 1.79112852 sig out 1act.) RANK 10 NODE 7 --> 2.49670291 sigma in 5act. ( 1.70600712 sig out 1act.) RANK 11 NODE 13 --> 1.75334549 sigma in 5act. ( 1.13998938 sig out 1act.) RANK 12 NODE 15 --> 1.59308422 sigma in 5act. ( 1.11916435 sig out 1act.) RANK 13 NODE 3 --> 1.31658792 sigma in 5act. ( 0.857296646 sig out 1act.) RANK 14 NODE 4 --> 1.17042029 sigma in 5act. ( 0.84756428 sig out 1act.) RANK 15 NODE 1 --> 0.542288244 sigma in 5act. ( 0.0807971135 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 7.25571966 sigma out 1act.( 8.37319565 sig in 5act.) RANK 2 NODE 2 --> 4.12779284 sigma out 1act.( 5.37853861 sig in 5act.) RANK 3 NODE 11 --> 3.64712071 sigma out 1act.( 4.18392897 sig in 5act.) RANK 4 NODE 8 --> 3.51996613 sigma out 1act.( 3.74057865 sig in 5act.) RANK 5 NODE 14 --> 2.97568011 sigma out 1act.( 4.40518713 sig in 5act.) RANK 6 NODE 12 --> 2.39026809 sigma out 1act.( 2.73496222 sig in 5act.) RANK 7 NODE 10 --> 2.17137599 sigma out 1act.( 2.94735456 sig in 5act.) RANK 8 NODE 6 --> 1.79112852 sigma out 1act.( 2.67736435 sig in 5act.) RANK 9 NODE 7 --> 1.70600712 sigma out 1act.( 2.49670291 sig in 5act.) RANK 10 NODE 13 --> 1.13998938 sigma out 1act.( 1.75334549 sig in 5act.) RANK 11 NODE 15 --> 1.11916435 sigma out 1act.( 1.59308422 sig in 5act.) RANK 12 NODE 9 --> 1.00496542 sigma out 1act.( 2.88626313 sig in 5act.) RANK 13 NODE 3 --> 0.857296646 sigma out 1act.( 1.31658792 sig in 5act.) RANK 14 NODE 4 --> 0.84756428 sigma out 1act.( 1.17042029 sig in 5act.) RANK 15 NODE 1 --> 0.0807971135 sigma out 1act.( 0.542288244 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.2160254 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.506990135 *** contribution from regularisation: 0.0102491695 *** contribution from error: -0.517239332 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -2998.84676 0.617474616 -2.60229707 EXIT FROM BFGS code NEW_X -2998.84676 0.617474616 -2.60229707 ENTER BFGS code NEW_X -2998.84676 0.617474616 -2.60229707 EXIT FROM BFGS code FG_LNSRCH 0. 0.612433672 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.506320179 *** contribution from regularisation: 0.0106465109 *** contribution from error: -0.516966701 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2994.88394 0.612433672 -3.0110817 EXIT FROM BFGS code FG_LNSRCH 0. 0.616606236 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.503556371 *** contribution from regularisation: 0.0137045495 *** contribution from error: -0.517260909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2978.53603 0.616606236 -1.81599796 EXIT FROM BFGS code FG_LNSRCH 0. 0.617459953 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.506540298 *** contribution from regularisation: 0.0106995953 *** contribution from error: -0.517239869 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2996.18597 0.617459953 -2.50519705 EXIT FROM BFGS code FG_LNSRCH 0. 0.617474556 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.504208267 *** contribution from regularisation: 0.0130310832 *** contribution from error: -0.517239332 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2982.39176 0.617474556 -2.19273138 EXIT FROM BFGS code FG_LNSRCH 0. 0.617474616 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.505857348 *** contribution from regularisation: 0.0113819754 *** contribution from error: -0.517239332 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2992.14621 0.617474616 -1.77878368 EXIT FROM BFGS code FG_LNSRCH 0. 0.617474616 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.506129861 *** contribution from regularisation: 0.0111094648 *** contribution from error: -0.517239332 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2993.75811 0.617474616 -2.49945545 EXIT FROM BFGS code FG_LNSRCH 0. 0.617474616 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.505435586 *** contribution from regularisation: 0.0118037388 *** contribution from error: -0.517239332 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2989.65149 0.617474616 -1.50984764 EXIT FROM BFGS code NEW_X -2989.65149 0.617474616 -1.50984764 ENTER BFGS code NEW_X -2989.65149 0.617474616 -1.50984764 EXIT FROM BFGS code CONVERGENC -2989.65149 0.617474616 -1.50984764 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 14.5919809 sigma out 15 active outputs RANK 2 NODE 1 --> 10.5549784 sigma out 15 active outputs RANK 3 NODE 4 --> 6.54146719 sigma out 15 active outputs RANK 4 NODE 3 --> 6.33542919 sigma out 15 active outputs RANK 5 NODE 2 --> 3.7802763 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 13.1853952 sigma in 5act. ( 10.8033142 sig out 1act.) RANK 2 NODE 2 --> 7.95055151 sigma in 5act. ( 6.06188822 sig out 1act.) RANK 3 NODE 11 --> 6.16523695 sigma in 5act. ( 5.25906897 sig out 1act.) RANK 4 NODE 14 --> 6.11581373 sigma in 5act. ( 4.42473841 sig out 1act.) RANK 5 NODE 8 --> 5.53642321 sigma in 5act. ( 4.90869856 sig out 1act.) RANK 6 NODE 10 --> 4.03327131 sigma in 5act. ( 3.06562042 sig out 1act.) RANK 7 NODE 12 --> 3.83973336 sigma in 5act. ( 3.20449448 sig out 1act.) RANK 8 NODE 6 --> 3.50798798 sigma in 5act. ( 2.5003264 sig out 1act.) RANK 9 NODE 9 --> 3.2841568 sigma in 5act. ( 1.54023409 sig out 1act.) RANK 10 NODE 7 --> 3.2603941 sigma in 5act. ( 2.31048608 sig out 1act.) RANK 11 NODE 13 --> 2.17533851 sigma in 5act. ( 1.41016412 sig out 1act.) RANK 12 NODE 15 --> 1.99966574 sigma in 5act. ( 1.31975806 sig out 1act.) RANK 13 NODE 3 --> 1.59365034 sigma in 5act. ( 1.01263714 sig out 1act.) RANK 14 NODE 4 --> 1.44044375 sigma in 5act. ( 0.936593831 sig out 1act.) RANK 15 NODE 1 --> 0.585830271 sigma in 5act. ( 0.0847984552 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 10.8033142 sigma out 1act.( 13.1853952 sig in 5act.) RANK 2 NODE 2 --> 6.06188822 sigma out 1act.( 7.95055151 sig in 5act.) RANK 3 NODE 11 --> 5.25906897 sigma out 1act.( 6.16523695 sig in 5act.) RANK 4 NODE 8 --> 4.90869856 sigma out 1act.( 5.53642321 sig in 5act.) RANK 5 NODE 14 --> 4.42473841 sigma out 1act.( 6.11581373 sig in 5act.) RANK 6 NODE 12 --> 3.20449448 sigma out 1act.( 3.83973336 sig in 5act.) RANK 7 NODE 10 --> 3.06562042 sigma out 1act.( 4.03327131 sig in 5act.) RANK 8 NODE 6 --> 2.5003264 sigma out 1act.( 3.50798798 sig in 5act.) RANK 9 NODE 7 --> 2.31048608 sigma out 1act.( 3.2603941 sig in 5act.) RANK 10 NODE 9 --> 1.54023409 sigma out 1act.( 3.2841568 sig in 5act.) RANK 11 NODE 13 --> 1.41016412 sigma out 1act.( 2.17533851 sig in 5act.) RANK 12 NODE 15 --> 1.31975806 sigma out 1act.( 1.99966574 sig in 5act.) RANK 13 NODE 3 --> 1.01263714 sigma out 1act.( 1.59365034 sig in 5act.) RANK 14 NODE 4 --> 0.936593831 sigma out 1act.( 1.44044375 sig in 5act.) RANK 15 NODE 1 --> 0.0847984552 sigma out 1act.( 0.585830271 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.2498856 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.506249607 *** contribution from regularisation: 0.0109897451 *** contribution from error: -0.517239332 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23090 Closing output file done