NNInput NNInputs_125.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= 11816 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 = 3049 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 3049 Chosen entries: 3049 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.347781 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 3049 Entries to split: 3049 Test with : 1524 Train with : 1524 ********************************************* * 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= 3049 for Signal Prepared event 0 for Signal with 3049 events ====Entry 0 Variable Ht : 307.916 Variable LepAPt : 25.4904 Variable LepBPt : 14.4547 Variable MetSigLeptonsJets : 9.28512 Variable MetSpec : 110.49 Variable SumEtLeptonsJets : 182.485 Variable VSumJetLeptonsPt : 131.443 Variable addEt : 165.376 Variable dPhiLepSumMet : 1.48851 Variable dPhiLeptons : 0.639184 Variable dRLeptons : 0.718389 Variable lep1_E : 25.7722 Variable lep2_E : 14.6887 ===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 = 2125 Ht = 307.916 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.4907 LepAPt = 25.4904 LepBEt = 14.4553 LepBPt = 14.4547 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 125.43 MetDelPhi = 1.07774 MetSig = 8.01185 MetSigLeptonsJets = 9.28512 MetSpec = 110.49 Mjj = 0 MostCentralJetEta = 0.167718 MtllMet = 165.886 Njets = 1 SB = 0 SumEt = 245.096 SumEtJets = 0 SumEtLeptonsJets = 182.485 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 131.443 addEt = 165.376 dPhiLepSumMet = 1.48851 dPhiLeptons = 0.639184 dRLeptons = 0.718389 diltype = 41 dimass = 13.6212 event = 79 jet1_Et = 142.54 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.7722 lep2_E = 14.6887 rand = 0.999742 run = 235389 weight = 1.14677e-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 = 3.87133 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 285 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 11816 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 285 negative weights. Signal fraction: 67.4684753 % ------------------------------ 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 56.8907356 61.4185257 66.4447327 67.1979675 69.5281982 70.2056885 70.2850266 72.9434052 73.4309464 75.1673737 77.438385 79.4573059 79.6417618 81.2953491 81.4623108 82.4259949 83.2549438 84.5278931 85.0975342 86.1961517 86.2084045 87.3521271 88.5266266 88.8396606 89.2397995 89.2788696 89.8557587 91.0231934 91.1138916 91.6162109 91.9674072 92.0123291 92.0376663 92.9760284 94.0594788 95.1156616 95.2876205 95.8006516 97.0104675 97.2838669 98.0205231 98.9373016 100.158127 100.226799 100.920029 102.140419 102.897064 104.244324 105.126175 105.951096 106.558319 107.752586 109.004883 110.173691 110.179176 110.966469 111.722946 112.401886 113.479614 114.551712 115.35424 116.249969 116.396194 117.040695 117.886826 118.632355 119.796143 120.519028 121.744415 122.716095 124.093941 125.233139 125.23439 126.650505 128.249664 130.36969 131.542847 133.796204 135.744553 137.504501 139.69371 141.821198 145.427338 147.924271 148.139038 150.268738 153.210861 155.998932 158.775696 161.288696 165.549255 170.776184 177.05957 182.558716 188.524307 195.196045 203.112 217.192825 236.796997 260.327209 586.109619 ------------------------------ Transdef: Tab for variable 3 20.0047188 20.1095257 20.4277363 20.7671394 21.1279755 21.4176712 21.8487511 22.4724998 22.5842533 22.7538166 22.8640404 23.171196 23.2076855 23.4972057 23.7405415 23.7724266 24.2526302 24.5081215 24.8057137 25.1050797 25.1100521 25.4703865 25.7398891 26.0603676 26.1318493 26.3244095 26.4293518 26.6016521 26.6171398 26.8197136 26.9502335 27.060051 27.2828598 27.4840164 27.6191521 27.637104 27.7922211 27.9272861 27.9913521 28.1555519 28.3033886 28.5566101 28.5582676 28.8561478 29.1192207 29.137413 29.4223404 29.7288342 29.9343758 30.150053 30.3988762 30.5822964 30.8563805 31.0876656 31.2423458 31.5091724 31.830328 31.9155655 31.9570312 31.9677296 32.1186142 32.2333908 32.5787544 32.8218918 33.2028122 33.4583282 33.7685165 34.0833282 34.1801262 34.2604103 34.633419 34.9241104 35.2110825 35.6227417 35.9772034 36.2929916 36.7253876 37.0098152 37.4472923 37.5641212 38.0132828 38.0932693 38.1712723 38.7695274 39.0799141 39.6224823 40.1999969 40.9305077 41.5652313 42.1882248 42.6951294 43.8447647 44.6714478 45.9418678 46.0261726 48.0803375 50.5180054 50.767868 53.3514786 59.7602348 91.0506134 ------------------------------ Transdef: Tab for variable 4 10.0008354 10.023077 10.1381893 10.2832813 10.3759098 10.3783331 10.5961666 10.8498793 11.0849628 11.2104931 11.2590141 11.3006897 11.3841448 11.401535 11.5244007 11.6315613 11.6865578 11.7051353 11.8904953 12.1289415 12.187706 12.3676701 12.5809002 12.7422161 12.9202271 12.9482784 13.1083221 13.2904148 13.4952984 13.6654377 13.7257824 13.8459606 13.8745918 14.1012669 14.179203 14.3353481 14.3754187 14.5234108 14.7056007 14.9476347 15.1667576 15.2915459 15.3602514 15.3652515 15.4490967 15.5274315 15.7102013 15.8545628 15.9459553 16.1392326 16.3440857 16.4355125 16.5477638 16.5918274 16.7916889 16.9507484 17.2320614 17.402298 17.6336498 17.965765 18.261013 18.4943562 18.6652985 18.7537308 18.9609852 19.2320175 19.4826431 19.8698044 20.1462193 20.2868061 20.402607 20.4082527 20.5930042 20.7481918 21.0187187 21.2478752 21.4618645 21.7686844 21.9805145 22.2430058 22.5157051 22.7764835 23.1741428 23.3549843 23.6542206 23.9495735 24.3394356 24.6766396 25.1306 25.4120369 25.9476509 26.1962929 26.2466316 26.7445145 27.3819847 27.8340111 27.9003105 28.647049 29.3710899 31.0795059 38.0968208 ------------------------------ Transdef: Tab for variable 5 2.17503285 3.04788208 3.25259066 3.30300355 3.30445147 3.52248526 3.77583694 3.78683281 3.91552734 4.05178261 4.20135546 4.32330418 4.44697762 4.56705379 4.59280729 4.62917376 4.6513052 4.68906784 4.75897598 4.76402378 4.78783512 4.87082767 4.97283268 5.07952785 5.13955307 5.15501451 5.23629618 5.30100441 5.39530325 5.47576094 5.53673172 5.63084555 5.71636248 5.79609108 5.8499136 5.90877533 5.97028399 6.03257847 6.08431911 6.14281559 6.1789875 6.1941824 6.21816444 6.2454977 6.25613499 6.27643251 6.29423046 6.35886192 6.42354631 6.48846674 6.49179268 6.50988245 6.52856922 6.56507444 6.62047482 6.65231085 6.68371582 6.72962904 6.80109119 6.84954357 6.91340303 6.95182705 6.96536732 6.96717882 6.98945332 7.03429985 7.04372358 7.07438278 7.12668514 7.19353437 7.23685837 7.24654961 7.26428366 7.29599285 7.29934597 7.35888577 7.42423725 7.42688751 7.45910072 7.50107574 7.57914591 7.63619232 7.69048595 7.69054031 7.75190163 7.84179306 7.8437295 7.94130802 8.01599598 8.07728958 8.15818214 8.25999355 8.37773895 8.48108482 8.58191872 8.71168804 8.89193535 9.21400833 9.57369232 10.2329254 12.9810305 ------------------------------ Transdef: Tab for variable 6 25.0152855 26.4792824 27.0059814 27.1973877 27.2810001 27.2840786 28.7755089 29.4311829 30.1308537 31.0027313 31.5943336 31.9043064 32.9632492 32.9687271 33.5817719 33.5818596 34.4209175 34.8443909 35.4182091 36.1429749 36.4875984 36.4925957 36.5408783 37.1582565 37.5015106 37.6817169 38.0851135 38.8516159 39.5362473 39.8016052 40.0531693 40.3398056 40.7694664 41.3300781 41.862854 42.3436661 42.7742424 42.9127121 42.9282532 43.4300003 43.7578735 43.9903717 44.5538559 44.7604942 45.0988007 45.5628967 45.9892197 46.5205612 46.5732613 46.8164062 47.0076027 47.297226 47.5409698 47.6471825 48.1188469 48.1290245 48.545311 48.8828049 48.9720535 49.594902 50.1648979 50.4900055 50.9598999 51.3375702 51.8305206 52.2113876 52.8591843 53.3532791 53.8531876 54.2123032 54.3869553 54.8986626 55.1957207 55.8408127 56.4186172 56.8587036 57.2338524 57.754467 58.3074608 58.8633728 59.7978821 60.4921074 60.9614716 61.6819534 62.2831802 62.8966141 63.5525246 64.358284 65.2527008 66.4839554 67.5210876 69.1713028 69.5264282 70.0177917 72.2166595 74.7139893 77.5501709 81.0827637 85.355957 97.2044983 193.358276 ------------------------------ Transdef: Tab for variable 7 30.1131554 33.7961197 34.0816841 34.2148132 35.7052231 35.9276581 36.868927 37.3032455 37.7609329 38.0314484 38.3033981 39.0747261 40.2049255 40.4002037 40.980629 40.9812202 41.4899597 41.6075516 41.6428757 42.0852432 42.1752052 42.8290787 43.4915848 43.8289413 44.5939865 44.669342 45.1489449 45.1500931 45.4808159 45.7157974 46.2637787 46.8308563 47.2676125 47.278038 47.783699 48.2677078 48.7313766 49.5372162 50.3083763 50.7901917 51.4563675 52.0328674 52.4910736 52.6255264 53.0686836 53.6382027 54.2703934 54.732811 55.2667618 55.7109108 55.9625549 56.3410912 56.90271 57.6987038 58.2943497 58.7933884 58.8444366 59.8558884 60.7071838 61.3074951 61.574955 62.4956131 63.1713867 64.2943115 65.2984314 66.5495529 67.8953934 69.1378174 70.6370697 72.1484451 72.1561203 73.9314728 75.9296265 77.4777374 78.6170349 79.343277 80.7766953 81.9653168 82.8102264 84.1448212 85.5901642 87.0229874 88.5522079 90.6047821 92.2636719 93.7423325 93.7448578 96.7970276 99.4917755 103.261673 106.123917 110.921013 113.568558 119.462646 125.104584 131.164825 137.304108 146.839951 157.752747 179.839981 363.392456 ------------------------------ Transdef: Tab for variable 8 5.65917778 23.6187363 27.895298 28.3106499 29.9827156 30.1699677 31.7744427 32.7736511 32.7997551 32.9826927 32.9879684 33.6979675 33.894413 34.0637131 34.588089 35.2215958 35.6998634 36.4075241 36.4153976 36.5228806 36.609726 36.9715195 37.4541702 38.0207825 38.3603821 39.2160339 39.8022232 40.3894348 40.4268684 40.8079758 40.8827591 41.3064079 41.3102226 41.7646713 41.8178024 41.9057388 42.4044609 42.9612579 43.1794815 43.3713455 43.6854401 43.7566872 44.2404976 44.2798424 44.7093048 45.1720963 45.2170715 45.4213486 45.6832962 46.0342102 46.5608673 47.0689011 47.4808464 47.8026428 48.3435898 48.8020744 49.2740517 49.6778336 50.1727524 50.6903763 51.0397263 51.0845299 51.4684105 51.7893715 52.2268982 52.574379 53.1472626 53.475853 53.8805923 53.8895874 54.3064384 54.6745758 54.9039574 55.4559021 56.052166 56.5634613 56.8723373 57.417675 57.9917145 58.4210396 59.0235901 59.797863 60.3227692 61.152153 62.3436203 63.1534119 63.8982697 64.6496735 65.8361435 66.9163284 68.7256012 71.1884766 73.4440918 75.6094971 78.2521362 78.617012 80.0192108 84.6362305 89.1740875 102.669189 231.088379 ------------------------------ Transdef: Tab for variable 9 56.8907356 61.4185257 65.721962 67.1979675 68.6018524 70.2056885 70.2850266 70.5880737 72.4676361 73.4309464 73.9904938 75.4772339 77.0081024 77.3123016 78.3969421 78.901474 79.6417618 79.7675934 79.7804108 81.2249603 81.2953491 82.4259949 82.4620819 83.4824677 84.5345917 84.7054291 84.769043 85.6945343 86.20578 86.2669373 87.3619919 88.4874115 88.5266266 89.2023544 89.2397995 89.2854156 89.6444855 89.9909821 90.2411346 90.9369125 91.1138916 91.614418 91.8325195 91.9599915 92.0376663 92.4432068 93.1586914 93.9848633 94.7735367 95.3349915 95.9568176 96.7193604 97.4935455 98.2543182 98.7513885 99.4019928 100.224838 101.059753 101.803909 102.456741 102.97142 103.785736 104.478729 105.066055 105.749008 106.326096 107.035263 107.809967 108.607758 109.621529 110.178238 110.179176 110.861862 111.312515 111.919807 112.830658 113.330841 114.257462 114.810852 115.474289 116.123924 116.744843 117.566437 118.142197 118.675102 119.750458 120.483902 121.464325 122.414337 123.557175 125.108185 126.319534 127.790176 129.19986 132.350342 135.906586 140.547729 147.196991 148.139038 156.077881 289.137878 ------------------------------ Transdef: Tab for variable 10 0.0343060829 0.85373652 1.1596179 1.32686591 1.49820638 1.61626434 1.72660697 1.79555643 1.86466956 1.92761111 2.03240085 2.10241985 2.16999149 2.24024677 2.28951406 2.32698369 2.34483767 2.3873024 2.41835737 2.44282436 2.45435858 2.47945428 2.493325 2.53384066 2.56682992 2.59135866 2.61218762 2.61525369 2.61834526 2.64892721 2.67822886 2.70080185 2.72595882 2.74873471 2.76836109 2.77895093 2.78317165 2.80065775 2.81833792 2.83452368 2.83991051 2.85135746 2.86360693 2.86530495 2.87925887 2.89466953 2.90849495 2.91963696 2.93440461 2.94426727 2.95513868 2.96157575 2.96580124 2.96906304 2.9785614 2.97921181 2.98511553 2.9905076 2.9984498 3.00283647 3.00996733 3.01462984 3.01655912 3.02397251 3.02820158 3.02984953 3.03692293 3.04202533 3.04333496 3.04865026 3.05388546 3.05390859 3.0578413 3.05885792 3.06435871 3.06885862 3.07352257 3.07835364 3.08340764 3.08819389 3.09202385 3.09660625 3.09674263 3.0978725 3.10315132 3.10682058 3.10973692 3.11037111 3.11419439 3.11462283 3.11859727 3.12227011 3.12456846 3.12751555 3.13052058 3.13125849 3.13280201 3.13384819 3.13438225 3.13856816 3.14159226 ------------------------------ Transdef: Tab for variable 11 0.00072145462 0.00132334232 0.0127420425 0.029713273 0.0409206152 0.0560687631 0.0714830756 0.0846760273 0.097171627 0.0975570679 0.106229603 0.118025422 0.131159306 0.142006934 0.153140068 0.154146671 0.161846161 0.171883821 0.17352128 0.180897713 0.196024477 0.207344294 0.216232955 0.231288195 0.242999762 0.244783878 0.251470834 0.261676699 0.266996682 0.268699855 0.268784493 0.275153875 0.278776169 0.282766223 0.285751939 0.292833269 0.304182351 0.317180634 0.32645762 0.333867848 0.341007054 0.345189095 0.347181499 0.358071893 0.366374016 0.372113556 0.378537893 0.385489583 0.386787534 0.39250952 0.397173345 0.400714874 0.408378601 0.41484803 0.419335604 0.425260425 0.429663152 0.434186697 0.438715935 0.445087403 0.448560476 0.45543611 0.463967234 0.470610052 0.4788225 0.486905575 0.492152601 0.494639397 0.501517057 0.507424116 0.51427424 0.5209167 0.523597717 0.524435043 0.526715517 0.530208528 0.532341897 0.534282804 0.541615248 0.545382261 0.550549626 0.564088702 0.576127291 0.579353631 0.585472226 0.607083201 0.615711153 0.633225203 0.633537054 0.655098438 0.675427258 0.695060253 0.71226716 0.712736487 0.718458772 0.718897998 0.766043425 0.802181244 0.838735282 0.863429487 1.0233115 ------------------------------ Transdef: Tab for variable 12 0.223213226 0.251678169 0.285422295 0.304512054 0.327310503 0.349879891 0.360201359 0.370522827 0.403564274 0.40805459 0.41204381 0.415753126 0.419624925 0.422691017 0.426641464 0.430413187 0.435083508 0.43905744 0.442296207 0.446467578 0.449718803 0.453641355 0.457180262 0.458247572 0.46146667 0.465884387 0.470268309 0.471939206 0.475484312 0.478459775 0.482753456 0.486184955 0.490484834 0.495689541 0.499169409 0.503234029 0.506830812 0.509894729 0.513890982 0.516688108 0.519770265 0.523084044 0.523646235 0.527825236 0.531840563 0.535189092 0.540993214 0.545399308 0.549267888 0.549838841 0.55244875 0.555304527 0.559565127 0.559659243 0.564220309 0.567902625 0.568217695 0.571330547 0.576610565 0.577302456 0.581798971 0.585204959 0.590670347 0.594317675 0.5953089 0.598800302 0.606800735 0.612216592 0.617123365 0.620240092 0.620929301 0.628715992 0.634269238 0.635716379 0.644306958 0.654188931 0.661193192 0.667943001 0.675218225 0.675818622 0.685155153 0.692747891 0.693022549 0.701971769 0.712728024 0.714596629 0.724810839 0.725200176 0.733691692 0.742664337 0.748844862 0.758855224 0.771272361 0.771347404 0.794917226 0.817808747 0.840220511 0.859735429 0.887314439 0.919028282 1.05910957 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.6774101 22.4382744 23.3638229 23.762043 24.2986031 24.4326782 24.4355125 24.7652988 24.8292332 24.956398 25.1605072 25.5405331 25.9894142 26.4352493 26.7913132 27.0189629 27.1166801 27.5443211 27.8298206 28.115387 28.6225471 28.6446686 28.8645916 28.8650169 29.0550995 29.2393703 29.250782 29.5604839 29.7961655 29.8404694 30.1823063 30.5354118 30.8099632 31.2165527 31.5417786 31.8592587 32.2335205 32.6269913 33.0004272 33.3445206 33.7816086 33.8050308 34.1033249 34.4423447 34.5438995 34.5442009 34.7206154 34.7278175 35.0238342 35.3463135 35.38694 35.6890869 36.0690384 36.0800743 36.3144798 36.3302269 36.6334381 36.9862061 37.2510834 37.3060989 37.7336197 38.1301193 38.1405029 38.5062485 38.5541992 38.822525 39.165184 39.5884933 39.9502869 40.4554214 40.8739471 41.4135857 41.8251038 42.2072906 42.5523987 42.8454895 43.3306198 43.5513344 44.0865402 44.6806641 45.3086853 46.1188812 46.7184906 47.5838776 48.4479675 49.4514084 50.3971519 51.4352341 53.0589981 53.9385872 55.2203217 55.4277725 55.4284058 57.2091408 58.946228 59.2658463 62.1307755 66.9584503 72.1736832 122.020348 ------------------------------ Transdef: Tab for variable 14 10.0432701 10.459218 10.9178028 11.2469025 11.313796 11.3234234 11.3968935 11.7239475 11.7288895 11.9970722 12.2150631 12.3028355 12.3030539 12.6273537 12.6814251 12.8214178 12.9129801 13.1625881 13.4367256 13.7020292 14.138299 14.5075674 14.5085974 14.8008823 15.0828381 15.3018522 15.4019718 15.5789032 15.5820808 15.8131084 16.0994148 16.3379059 16.4762955 16.5989437 16.7197838 17.0427017 17.2620354 17.5031548 17.7835884 18.155056 18.4389725 18.6408195 18.7724304 19.0066071 19.2932091 19.5288506 19.8128128 20.1335106 20.4285889 20.6198883 20.7410965 20.9228859 21.2633514 21.318327 21.5417614 21.8592949 22.1107388 22.3598919 22.6324692 22.9584656 23.2066803 23.5243683 23.7061481 23.7908001 24.1283951 24.4893837 24.8055058 25.1419945 25.2720737 25.5148582 25.771122 25.7931156 26.1683922 26.474247 26.7788429 27.034771 27.3846245 27.6977196 28.1483688 28.4714203 28.9306183 29.3870583 29.8691902 30.2758102 30.4891167 31.1348114 31.8342857 32.4268494 33.1862717 33.9888992 34.0552254 35.1221542 36.0747032 36.4055634 38.0212097 40.1603508 40.2138481 42.6883545 47.6307297 47.7591629 63.7458496 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 42.2 14.1 22.8 11.3 30.0 38.6 34.3 37.0 -24.4 -11.5 0.1 11.1 13.6 2 42.2 100.0 50.3 38.6 14.0 58.7 93.6 59.5 84.0 -54.8 -29.6 -33.3 46.6 30.3 3 14.1 50.3 100.0 7.5 -3.8 21.8 52.4 34.5 59.8 -13.0 -26.6 -36.0 85.8 5.7 4 22.8 38.6 7.5 100.0 2.3 19.8 38.7 32.8 44.9 -11.5 -33.0 -45.5 14.2 81.1 5 11.3 14.0 -3.8 2.3 100.0 80.2 -16.8 45.8 51.7 33.2 4.8 11.3 -6.6 0.5 6 30.0 58.7 21.8 19.8 80.2 100.0 33.1 73.7 80.6 0.2 -11.0 -5.9 17.9 14.5 7 38.6 93.6 52.4 38.7 -16.8 33.1 100.0 48.9 67.6 -63.8 -31.4 -37.5 50.1 31.9 8 34.3 59.5 34.5 32.8 45.8 73.7 48.9 100.0 75.6 -5.0 -18.2 -18.6 30.9 24.8 9 37.0 84.0 59.8 44.9 51.7 80.6 67.6 75.6 100.0 -19.6 -27.9 -32.4 54.0 35.4 10 -24.4 -54.8 -13.0 -11.5 33.2 0.2 -63.8 -5.0 -19.6 100.0 19.1 15.4 -15.1 -11.9 11 -11.5 -29.6 -26.6 -33.0 4.8 -11.0 -31.4 -18.2 -27.9 19.1 100.0 58.8 -27.7 -37.1 12 0.1 -33.3 -36.0 -45.5 11.3 -5.9 -37.5 -18.6 -32.4 15.4 58.8 100.0 -39.2 -39.2 13 11.1 46.6 85.8 14.2 -6.6 17.9 50.1 30.9 54.0 -15.1 -27.7 -39.2 100.0 28.0 14 13.6 30.3 5.7 81.1 0.5 14.5 31.9 24.8 35.4 -11.9 -37.1 -39.2 28.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 92.7491022 TOTAL CORRELATION OF ALL VARIABLES 49.7933232 ROUND 1: MAX CORR ( 49.783474) AFTER KILLING INPUT VARIABLE 6 CONTR 0.990325566 ROUND 2: MAX CORR ( 49.7676374) AFTER KILLING INPUT VARIABLE 7 CONTR 1.25561024 ROUND 3: MAX CORR ( 49.739523) AFTER KILLING INPUT VARIABLE 3 CONTR 1.67259825 ROUND 4: MAX CORR ( 49.6195339) AFTER KILLING INPUT VARIABLE 13 CONTR 3.45282465 ROUND 5: MAX CORR ( 49.543251) AFTER KILLING INPUT VARIABLE 5 CONTR 2.7503494 ROUND 6: MAX CORR ( 49.4862697) AFTER KILLING INPUT VARIABLE 9 CONTR 2.37546568 ROUND 7: MAX CORR ( 49.0268793) AFTER KILLING INPUT VARIABLE 10 CONTR 6.72725713 ROUND 8: MAX CORR ( 48.335695) AFTER KILLING INPUT VARIABLE 14 CONTR 8.20338292 ROUND 9: MAX CORR ( 47.7195041) AFTER KILLING INPUT VARIABLE 11 CONTR 7.69339566 ROUND 10: MAX CORR ( 46.8031279) AFTER KILLING INPUT VARIABLE 8 CONTR 9.30689459 ROUND 11: MAX CORR ( 44.778072) AFTER KILLING INPUT VARIABLE 4 CONTR 13.6182618 ROUND 12: MAX CORR ( 42.2024798) AFTER KILLING INPUT VARIABLE 12 CONTR 14.9675124 LAST REMAINING VARIABLE: 2 total correlation to target: 49.7933232 % total significance: 23.61873 sigma correlations of single variables to target: variable 2: 42.2024798 % , in sigma: 20.0181252 variable 3: 14.0507336 % , in sigma: 6.66475872 variable 4: 22.7589988 % , in sigma: 10.7953961 variable 5: 11.2669237 % , in sigma: 5.34429946 variable 6: 30.0490115 % , in sigma: 14.2533064 variable 7: 38.6087707 % , in sigma: 18.3135022 variable 8: 34.3386457 % , in sigma: 16.2880312 variable 9: 37.0100169 % , in sigma: 17.5551569 variable 10: -24.4012636 % , in sigma: 11.5743803 variable 11: -11.5271396 % , in sigma: 5.46772904 variable 12: 0.0706324597 % , in sigma: 0.0335034678 variable 13: 11.1209944 % , in sigma: 5.27508004 variable 14: 13.5854931 % , in sigma: 6.4440787 variables sorted by significance: 1 most relevant variable 2 corr 42.2024803 , in sigma: 20.0181255 2 most relevant variable 12 corr 14.9675121 , in sigma: 7.09961911 3 most relevant variable 4 corr 13.6182623 , in sigma: 6.4596223 4 most relevant variable 8 corr 9.3068943 , in sigma: 4.41458834 5 most relevant variable 11 corr 7.69339561 , in sigma: 3.64924899 6 most relevant variable 14 corr 8.20338249 , in sigma: 3.89115376 7 most relevant variable 10 corr 6.72725725 , in sigma: 3.19097547 8 most relevant variable 9 corr 2.37546563 , in sigma: 1.12676716 9 most relevant variable 5 corr 2.75034928 , in sigma: 1.30458771 10 most relevant variable 13 corr 3.45282459 , in sigma: 1.63779653 11 most relevant variable 3 corr 1.67259824 , in sigma: 0.793372361 12 most relevant variable 7 corr 1.25561023 , in sigma: 0.595580233 13 most relevant variable 6 corr 0.99032557 , in sigma: 0.46974636 global correlations between input variables: variable 2: 98.9903791 % variable 3: 94.8203334 % variable 4: 91.5874315 % variable 5: 96.1841284 % variable 6: 95.1224995 % variable 7: 98.6374594 % variable 8: 84.9763393 % variable 9: 98.8793123 % variable 10: 75.4956474 % variable 11: 63.7524177 % variable 12: 70.6329805 % variable 13: 91.2717085 % variable 14: 88.5735557 % significance loss when removing single variables: variable 2: corr = 5.56332689 % , sigma = 2.63888224 variable 3: corr = 1.3663388 % , sigma = 0.6481027 variable 4: corr = 13.2961808 % , sigma = 6.30684767 variable 5: corr = 4.60189656 % , sigma = 2.18284191 variable 6: corr = 0.990325566 % , sigma = 0.469746358 variable 7: corr = 1.11690258 % , sigma = 0.5297863 variable 8: corr = 9.6234313 % , sigma = 4.56473301 variable 9: corr = 4.52883267 % , sigma = 2.14818513 variable 10: corr = 5.33507772 % , sigma = 2.5306156 variable 11: corr = 8.67294061 % , sigma = 4.11388174 variable 12: corr = 18.94529 % , sigma = 8.98641949 variable 13: corr = 1.77464837 % , sigma = 0.841778337 variable 14: corr = 7.82581845 % , sigma = 3.71206181 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 --> 7.81074762 sigma out 15 active outputs RANK 2 NODE 4 --> 7.45533466 sigma out 15 active outputs RANK 3 NODE 2 --> 6.28811646 sigma out 15 active outputs RANK 4 NODE 3 --> 6.00406075 sigma out 15 active outputs RANK 5 NODE 1 --> 5.63889122 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 7.5070982 sigma in 5act. ( 8.99312019 sig out 1act.) RANK 2 NODE 4 --> 6.65376472 sigma in 5act. ( 6.42696667 sig out 1act.) RANK 3 NODE 14 --> 5.6631074 sigma in 5act. ( 7.14682913 sig out 1act.) RANK 4 NODE 12 --> 4.85812378 sigma in 5act. ( 5.25778389 sig out 1act.) RANK 5 NODE 15 --> 3.97819066 sigma in 5act. ( 5.52934694 sig out 1act.) RANK 6 NODE 2 --> 3.44225502 sigma in 5act. ( 4.10689545 sig out 1act.) RANK 7 NODE 11 --> 3.2520225 sigma in 5act. ( 3.63008595 sig out 1act.) RANK 8 NODE 13 --> 2.69784689 sigma in 5act. ( 2.85544896 sig out 1act.) RANK 9 NODE 3 --> 2.6080277 sigma in 5act. ( 3.11776495 sig out 1act.) RANK 10 NODE 7 --> 2.2842226 sigma in 5act. ( 2.40960646 sig out 1act.) RANK 11 NODE 6 --> 2.09272599 sigma in 5act. ( 1.80244303 sig out 1act.) RANK 12 NODE 1 --> 1.41204321 sigma in 5act. ( 1.59963286 sig out 1act.) RANK 13 NODE 10 --> 1.37490213 sigma in 5act. ( 1.37643731 sig out 1act.) RANK 14 NODE 5 --> 1.12088358 sigma in 5act. ( 0.824335039 sig out 1act.) RANK 15 NODE 8 --> 0.778484344 sigma in 5act. ( 0.10543479 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 8.99312019 sigma out 1act.( 7.5070982 sig in 5act.) RANK 2 NODE 14 --> 7.14682913 sigma out 1act.( 5.6631074 sig in 5act.) RANK 3 NODE 4 --> 6.42696667 sigma out 1act.( 6.65376472 sig in 5act.) RANK 4 NODE 15 --> 5.52934694 sigma out 1act.( 3.97819066 sig in 5act.) RANK 5 NODE 12 --> 5.25778389 sigma out 1act.( 4.85812378 sig in 5act.) RANK 6 NODE 2 --> 4.10689545 sigma out 1act.( 3.44225502 sig in 5act.) RANK 7 NODE 11 --> 3.63008595 sigma out 1act.( 3.2520225 sig in 5act.) RANK 8 NODE 3 --> 3.11776495 sigma out 1act.( 2.6080277 sig in 5act.) RANK 9 NODE 13 --> 2.85544896 sigma out 1act.( 2.69784689 sig in 5act.) RANK 10 NODE 7 --> 2.40960646 sigma out 1act.( 2.2842226 sig in 5act.) RANK 11 NODE 6 --> 1.80244303 sigma out 1act.( 2.09272599 sig in 5act.) RANK 12 NODE 1 --> 1.59963286 sigma out 1act.( 1.41204321 sig in 5act.) RANK 13 NODE 10 --> 1.37643731 sigma out 1act.( 1.37490213 sig in 5act.) RANK 14 NODE 5 --> 0.824335039 sigma out 1act.( 1.12088358 sig in 5act.) RANK 15 NODE 8 --> 0.10543479 sigma out 1act.( 0.778484344 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.1345978 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 12.6560106 sigma out 15 active outputs RANK 2 NODE 5 --> 11.9919128 sigma out 15 active outputs RANK 3 NODE 1 --> 9.76268101 sigma out 15 active outputs RANK 4 NODE 2 --> 7.50880814 sigma out 15 active outputs RANK 5 NODE 3 --> 7.48877287 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 8.93297386 sigma in 5act. ( 9.42700386 sig out 1act.) RANK 2 NODE 10 --> 7.43663883 sigma in 5act. ( 4.02277088 sig out 1act.) RANK 3 NODE 8 --> 7.06952095 sigma in 5act. ( 1.73426831 sig out 1act.) RANK 4 NODE 12 --> 6.90921831 sigma in 5act. ( 5.7192235 sig out 1act.) RANK 5 NODE 3 --> 6.32716846 sigma in 5act. ( 5.07812405 sig out 1act.) RANK 6 NODE 11 --> 6.11562157 sigma in 5act. ( 4.9554286 sig out 1act.) RANK 7 NODE 6 --> 6.04221535 sigma in 5act. ( 2.66166115 sig out 1act.) RANK 8 NODE 4 --> 5.94198847 sigma in 5act. ( 5.60961914 sig out 1act.) RANK 9 NODE 14 --> 5.50846958 sigma in 5act. ( 5.54689026 sig out 1act.) RANK 10 NODE 7 --> 5.38756943 sigma in 5act. ( 3.52658701 sig out 1act.) RANK 11 NODE 2 --> 4.85824108 sigma in 5act. ( 3.46853065 sig out 1act.) RANK 12 NODE 1 --> 4.17264223 sigma in 5act. ( 2.56494355 sig out 1act.) RANK 13 NODE 13 --> 3.56822324 sigma in 5act. ( 2.89503026 sig out 1act.) RANK 14 NODE 15 --> 3.09935308 sigma in 5act. ( 3.23257518 sig out 1act.) RANK 15 NODE 5 --> 2.63953114 sigma in 5act. ( 0.546886206 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 9.42700386 sigma out 1act.( 8.93297386 sig in 5act.) RANK 2 NODE 12 --> 5.7192235 sigma out 1act.( 6.90921831 sig in 5act.) RANK 3 NODE 4 --> 5.60961914 sigma out 1act.( 5.94198847 sig in 5act.) RANK 4 NODE 14 --> 5.54689026 sigma out 1act.( 5.50846958 sig in 5act.) RANK 5 NODE 3 --> 5.07812405 sigma out 1act.( 6.32716846 sig in 5act.) RANK 6 NODE 11 --> 4.9554286 sigma out 1act.( 6.11562157 sig in 5act.) RANK 7 NODE 10 --> 4.02277088 sigma out 1act.( 7.43663883 sig in 5act.) RANK 8 NODE 7 --> 3.52658701 sigma out 1act.( 5.38756943 sig in 5act.) RANK 9 NODE 2 --> 3.46853065 sigma out 1act.( 4.85824108 sig in 5act.) RANK 10 NODE 15 --> 3.23257518 sigma out 1act.( 3.09935308 sig in 5act.) RANK 11 NODE 13 --> 2.89503026 sigma out 1act.( 3.56822324 sig in 5act.) RANK 12 NODE 6 --> 2.66166115 sigma out 1act.( 6.04221535 sig in 5act.) RANK 13 NODE 1 --> 2.56494355 sigma out 1act.( 4.17264223 sig in 5act.) RANK 14 NODE 8 --> 1.73426831 sigma out 1act.( 7.06952095 sig in 5act.) RANK 15 NODE 5 --> 0.546886206 sigma out 1act.( 2.63953114 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.6240883 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.391433358 *** contribution from regularisation: 0.030046232 *** contribution from error: -0.421479583 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.474437147 *** contribution from regularisation: 0.0134350201 *** contribution from error: -0.487872154 *********************************************** -----------------> Test sample ENTER BFGS code START -2803.56553 -0.771168411 -0.421195388 EXIT FROM BFGS code FG_START 0. -0.771168411 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.488525331 *** contribution from regularisation: 0.0099636782 *** contribution from error: -0.498489022 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -2886.20767 -0.771168411 -0.726852417 EXIT FROM BFGS code FG_LNSRCH 0. -0.780126572 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.486226052 *** contribution from regularisation: 0.0142155569 *** contribution from error: -0.500441611 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2872.62355 -0.780126572 13.1444416 EXIT FROM BFGS code FG_LNSRCH 0. -0.774886847 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.490860701 *** contribution from regularisation: 0.0133846747 *** contribution from error: -0.5042454 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2900.005 -0.774886847 4.68075228 EXIT FROM BFGS code NEW_X -2900.005 -0.774886847 4.68075228 ENTER BFGS code NEW_X -2900.005 -0.774886847 4.68075228 EXIT FROM BFGS code FG_LNSRCH 0. -0.755875826 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.491592973 *** contribution from regularisation: 0.0129115852 *** contribution from error: -0.504504561 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2904.33129 -0.755875826 4.60655785 EXIT FROM BFGS code NEW_X -2904.33129 -0.755875826 4.60655785 ENTER BFGS code NEW_X -2904.33129 -0.755875826 4.60655785 EXIT FROM BFGS code FG_LNSRCH 0. -0.69677043 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.493020147 *** contribution from regularisation: 0.0113500059 *** contribution from error: -0.504370153 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2912.76298 -0.69677043 4.30883884 EXIT FROM BFGS code NEW_X -2912.76298 -0.69677043 4.30883884 ENTER BFGS code NEW_X -2912.76298 -0.69677043 4.30883884 EXIT FROM BFGS code FG_LNSRCH 0. -0.557317853 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.494068593 *** contribution from regularisation: 0.00895945076 *** contribution from error: -0.503028035 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2918.95721 -0.557317853 2.88963819 EXIT FROM BFGS code NEW_X -2918.95721 -0.557317853 2.88963819 ENTER BFGS code NEW_X -2918.95721 -0.557317853 2.88963819 EXIT FROM BFGS code FG_LNSRCH 0. -0.103186883 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.461717427 *** contribution from regularisation: 0.0114082852 *** contribution from error: -0.473125726 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2727.82656 -0.103186883 -12.9397802 EXIT FROM BFGS code FG_LNSRCH 0. -0.500717759 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 10.3462019 sigma out 15 active outputs RANK 2 NODE 3 --> 8.54890633 sigma out 15 active outputs RANK 3 NODE 1 --> 7.74827051 sigma out 15 active outputs RANK 4 NODE 4 --> 4.86067677 sigma out 15 active outputs RANK 5 NODE 2 --> 4.03044605 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 7.05796146 sigma in 5act. ( 4.56691122 sig out 1act.) RANK 2 NODE 3 --> 5.87412834 sigma in 5act. ( 3.01765561 sig out 1act.) RANK 3 NODE 11 --> 5.58071566 sigma in 5act. ( 2.92582536 sig out 1act.) RANK 4 NODE 6 --> 5.03234339 sigma in 5act. ( 3.31243467 sig out 1act.) RANK 5 NODE 4 --> 4.75997019 sigma in 5act. ( 2.34891582 sig out 1act.) RANK 6 NODE 8 --> 4.64859533 sigma in 5act. ( 2.23277307 sig out 1act.) RANK 7 NODE 7 --> 4.62461519 sigma in 5act. ( 2.50382519 sig out 1act.) RANK 8 NODE 1 --> 4.03240156 sigma in 5act. ( 1.86687052 sig out 1act.) RANK 9 NODE 12 --> 3.6545155 sigma in 5act. ( 0.178026617 sig out 1act.) RANK 10 NODE 9 --> 3.57184172 sigma in 5act. ( 0.464515477 sig out 1act.) RANK 11 NODE 2 --> 3.48214078 sigma in 5act. ( 1.75617278 sig out 1act.) RANK 12 NODE 13 --> 3.07803273 sigma in 5act. ( 1.38734317 sig out 1act.) RANK 13 NODE 5 --> 1.9672929 sigma in 5act. ( 0.886024058 sig out 1act.) RANK 14 NODE 14 --> 1.88458192 sigma in 5act. ( 0.139790282 sig out 1act.) RANK 15 NODE 15 --> 1.4818486 sigma in 5act. ( 0.364464968 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 4.56691122 sigma out 1act.( 7.05796146 sig in 5act.) RANK 2 NODE 6 --> 3.31243467 sigma out 1act.( 5.03234339 sig in 5act.) RANK 3 NODE 3 --> 3.01765561 sigma out 1act.( 5.87412834 sig in 5act.) RANK 4 NODE 11 --> 2.92582536 sigma out 1act.( 5.58071566 sig in 5act.) RANK 5 NODE 7 --> 2.50382519 sigma out 1act.( 4.62461519 sig in 5act.) RANK 6 NODE 4 --> 2.34891582 sigma out 1act.( 4.75997019 sig in 5act.) RANK 7 NODE 8 --> 2.23277307 sigma out 1act.( 4.64859533 sig in 5act.) RANK 8 NODE 1 --> 1.86687052 sigma out 1act.( 4.03240156 sig in 5act.) RANK 9 NODE 2 --> 1.75617278 sigma out 1act.( 3.48214078 sig in 5act.) RANK 10 NODE 13 --> 1.38734317 sigma out 1act.( 3.07803273 sig in 5act.) RANK 11 NODE 5 --> 0.886024058 sigma out 1act.( 1.9672929 sig in 5act.) RANK 12 NODE 9 --> 0.464515477 sigma out 1act.( 3.57184172 sig in 5act.) RANK 13 NODE 15 --> 0.364464968 sigma out 1act.( 1.4818486 sig in 5act.) RANK 14 NODE 12 --> 0.178026617 sigma out 1act.( 3.6545155 sig in 5act.) RANK 15 NODE 14 --> 0.139790282 sigma out 1act.( 1.88458192 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 8.71472168 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.483918637 *** contribution from regularisation: 0.0183571596 *** contribution from error: -0.502275825 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -2858.99133 -0.500717759 0.945814371 EXIT FROM BFGS code FG_LNSRCH 0. -0.556263447 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.493299395 *** contribution from regularisation: 0.00971688516 *** contribution from error: -0.503016293 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2914.41282 -0.556263447 3.06319475 EXIT FROM BFGS code FG_LNSRCH 0. -0.557312846 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.490251243 *** contribution from regularisation: 0.0127767343 *** contribution from error: -0.503027976 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2896.40436 -0.557312846 2.34924698 EXIT FROM BFGS code FG_LNSRCH 0. -0.557317853 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.492223203 *** contribution from regularisation: 0.010804832 *** contribution from error: -0.503028035 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2908.0547 -0.557317853 1.96749127 EXIT FROM BFGS code FG_LNSRCH 0. -0.557317853 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.492706299 *** contribution from regularisation: 0.0103217456 *** contribution from error: -0.503028035 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2910.90877 -0.557317853 3.01051927 EXIT FROM BFGS code FG_LNSRCH 0. -0.557317853 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.490857631 *** contribution from regularisation: 0.0121704182 *** contribution from error: -0.503028035 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -2899.98681 -0.557317853 2.04487276 EXIT FROM BFGS code NEW_X -2899.98681 -0.557317853 2.04487276 ENTER BFGS code NEW_X -2899.98681 -0.557317853 2.04487276 EXIT FROM BFGS code CONVERGENC -2899.98681 -0.557317853 2.04487276 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 11.2717581 sigma out 15 active outputs RANK 2 NODE 1 --> 9.40295696 sigma out 15 active outputs RANK 3 NODE 3 --> 8.43003845 sigma out 15 active outputs RANK 4 NODE 4 --> 5.17632294 sigma out 15 active outputs RANK 5 NODE 2 --> 4.38651943 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 7.97304487 sigma in 5act. ( 7.20076227 sig out 1act.) RANK 2 NODE 11 --> 6.70512295 sigma in 5act. ( 4.90098667 sig out 1act.) RANK 3 NODE 3 --> 6.59885025 sigma in 5act. ( 5.13917065 sig out 1act.) RANK 4 NODE 6 --> 6.34334469 sigma in 5act. ( 5.3242259 sig out 1act.) RANK 5 NODE 7 --> 5.65358639 sigma in 5act. ( 4.17700148 sig out 1act.) RANK 6 NODE 4 --> 4.80527687 sigma in 5act. ( 4.00384426 sig out 1act.) RANK 7 NODE 8 --> 4.55726194 sigma in 5act. ( 3.46386027 sig out 1act.) RANK 8 NODE 1 --> 4.26755428 sigma in 5act. ( 3.11367798 sig out 1act.) RANK 9 NODE 2 --> 3.79805899 sigma in 5act. ( 3.02952433 sig out 1act.) RANK 10 NODE 13 --> 3.17060995 sigma in 5act. ( 2.45346332 sig out 1act.) RANK 11 NODE 9 --> 2.8641367 sigma in 5act. ( 1.52228832 sig out 1act.) RANK 12 NODE 12 --> 2.60271502 sigma in 5act. ( 0.669242799 sig out 1act.) RANK 13 NODE 5 --> 1.82284546 sigma in 5act. ( 1.34399664 sig out 1act.) RANK 14 NODE 14 --> 1.40270138 sigma in 5act. ( 0.478372246 sig out 1act.) RANK 15 NODE 15 --> 1.21591187 sigma in 5act. ( 0.699907899 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 7.20076227 sigma out 1act.( 7.97304487 sig in 5act.) RANK 2 NODE 6 --> 5.3242259 sigma out 1act.( 6.34334469 sig in 5act.) RANK 3 NODE 3 --> 5.13917065 sigma out 1act.( 6.59885025 sig in 5act.) RANK 4 NODE 11 --> 4.90098667 sigma out 1act.( 6.70512295 sig in 5act.) RANK 5 NODE 7 --> 4.17700148 sigma out 1act.( 5.65358639 sig in 5act.) RANK 6 NODE 4 --> 4.00384426 sigma out 1act.( 4.80527687 sig in 5act.) RANK 7 NODE 8 --> 3.46386027 sigma out 1act.( 4.55726194 sig in 5act.) RANK 8 NODE 1 --> 3.11367798 sigma out 1act.( 4.26755428 sig in 5act.) RANK 9 NODE 2 --> 3.02952433 sigma out 1act.( 3.79805899 sig in 5act.) RANK 10 NODE 13 --> 2.45346332 sigma out 1act.( 3.17060995 sig in 5act.) RANK 11 NODE 9 --> 1.52228832 sigma out 1act.( 2.8641367 sig in 5act.) RANK 12 NODE 5 --> 1.34399664 sigma out 1act.( 1.82284546 sig in 5act.) RANK 13 NODE 15 --> 0.699907899 sigma out 1act.( 1.21591187 sig in 5act.) RANK 14 NODE 12 --> 0.669242799 sigma out 1act.( 2.60271502 sig in 5act.) RANK 15 NODE 14 --> 0.478372246 sigma out 1act.( 1.40270138 sig in 5act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.3627405 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.492314905 *** contribution from regularisation: 0.0107131442 *** contribution from error: -0.503028035 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23090 Closing output file done