NNInput NNInputs_185.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= 38076 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 = 7632 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 7632 Chosen entries: 7632 Signal fraction: 1 Background fraction: 0.25069 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 7632 Entries to split: 7632 Test with : 3816 Train with : 3816 ********************************************* * 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= 7632 for Signal Prepared event 0 for Signal with 7632 events ====Entry 0 Variable Ht : 121.393 Variable LepAPt : 32.3102 Variable LepBPt : 17.1635 Variable MetSigLeptonsJets : 10.2248 Variable MetSpec : 71.9186 Variable SumEtLeptonsJets : 49.4736 Variable VSumJetLeptonsPt : 47.436 Variable addEt : 121.393 Variable dPhiLepSumMet : 2.84063 Variable dPhiLeptons : 0.60596 Variable dRLeptons : 0.606053 Variable lep1_E : 33.9066 Variable lep2_E : 17.9549 ===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 = 2185 Ht = 121.393 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 32.3104 LepAPt = 32.3102 LepBEt = 17.164 LepBPt = 17.1635 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 71.9186 MetDelPhi = 2.63306 MetSig = 5.16382 MetSigLeptonsJets = 10.2248 MetSpec = 71.9186 Mjj = 0 MostCentralJetEta = 0 MtllMet = 122.799 Njets = 0 SB = 0 SumEt = 193.972 SumEtJets = 0 SumEtLeptonsJets = 49.4736 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 47.436 addEt = 121.393 dPhiLepSumMet = 2.84063 dPhiLeptons = 0.60596 dRLeptons = 0.606053 diltype = 18 dimass = 14.0577 event = 506 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 33.9066 lep2_E = 17.9549 rand = 0.999742 run = 231298 weight = 1.58378e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 30444 for Background Prepared event 0 for Background with 30444 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.947099 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 30444 events Prepared event 20000 for Background with 30444 events Prepared event 30000 for Background with 30444 events Warning: found 1028 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 38076 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 1028 negative weights. Signal fraction: 62.1132317 % ------------------------------ 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 55.9230614 62.2017517 64.138382 66.0137939 67.7742538 69.2100983 70.787796 72.6590118 74.2703552 76.0288696 77.5595551 79.4135895 80.83078 82.5016327 84.246788 85.5004044 86.7783966 88.4882202 90.3404388 91.9534149 93.7294006 94.9502563 96.5735016 97.9119873 99.1554871 100.641922 102.007721 103.635895 104.962753 106.419281 107.725174 108.874359 110.312775 111.736855 112.93692 114.229614 115.691055 117.357315 118.639526 119.836212 121.29863 122.799728 124.210007 125.550995 126.711243 127.809296 129.101685 130.214783 131.772827 132.938232 134.018021 135.538956 136.860321 138.351624 139.538879 140.839478 142.006287 143.07518 144.349396 145.691711 147.182861 148.52446 149.868835 151.29184 152.909943 154.577515 155.83844 157.372787 159.043518 160.58017 161.995834 163.702698 165.003693 166.775818 168.574783 170.508118 172.581573 174.799866 177.032928 179.190155 181.347717 183.848877 186.180573 189.791153 192.309738 194.563171 197.844254 201.756302 205.748886 210.472427 215.271942 220.139832 225.102005 230.489746 235.539154 243.075348 253.053314 265.378601 288.741638 319.440918 771.463745 ------------------------------ Transdef: Tab for variable 3 20.0095215 20.58461 21.0215874 21.42132 21.7459106 22.1537323 22.4795151 22.8163242 23.2025089 23.5264854 23.9000854 24.2342606 24.5976982 24.956358 25.2666855 25.5814571 25.9034367 26.1873055 26.4282475 26.7946739 27.1346493 27.4289703 27.7572708 28.0749149 28.418726 28.6977463 29.0008278 29.2808228 29.5721397 29.8706913 30.1502895 30.4488449 30.7239532 30.9928608 31.2552872 31.5354614 31.8480186 32.1961403 32.4950333 32.8489075 33.1490555 33.4521027 33.8590927 34.1996536 34.5100479 34.771225 35.0802383 35.4082947 35.7151947 36.0569496 36.3974533 36.7233734 37.1005478 37.3996201 37.7066689 38.0655327 38.4017487 38.7118874 39.1440353 39.5100403 39.7612267 40.1456604 40.577301 40.9332886 41.4084167 41.802063 42.2166977 42.6297989 43.0990753 43.5264969 44.1408997 44.5824432 45.0223694 45.4790802 45.9975815 46.6118126 47.2266006 47.9554176 48.5143967 49.0545883 49.6458702 50.4074211 51.1737747 52.0814285 52.9235229 53.7645111 54.6373062 55.6130943 56.6054382 57.4190292 58.4577637 59.5953979 60.5545197 62.1478653 63.6639481 65.6727142 67.2631912 70.2633514 74.1027069 79.8461151 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0011187 10.2729301 10.4553089 10.6917572 10.9729118 11.2050438 11.394311 11.6411667 11.9307575 12.1723652 12.4010763 12.6527328 12.9239483 13.1785936 13.4062195 13.6615677 13.8934116 14.1443729 14.4018955 14.6433668 14.9148579 15.1329508 15.3587694 15.5753269 15.8744888 16.1366367 16.402565 16.6593132 16.9299927 17.2194653 17.4907665 17.693964 17.9785805 18.2444744 18.5138092 18.773674 19.0519848 19.302496 19.5585175 19.8194122 20.0398941 20.2255325 20.4119225 20.5294285 20.7129669 20.8892059 21.086422 21.3083229 21.5003319 21.7062263 21.8744774 22.0611496 22.2132263 22.3971634 22.5745201 22.7644882 22.9531479 23.111351 23.3077736 23.4929733 23.6538372 23.8200493 24.0434933 24.2908134 24.5156937 24.7221794 24.9320641 25.1173553 25.2962437 25.5378113 25.7587128 25.934948 26.1285019 26.3410149 26.6075745 26.8525238 27.0558624 27.3265228 27.6052246 27.8865509 28.1897125 28.5218449 28.8529816 29.1615562 29.5320969 29.9425068 30.2976246 30.6493492 31.1227455 31.4988079 31.9809246 32.4882431 32.9942474 33.6249199 34.4659653 35.240593 36.4995193 38.0302582 40.2799988 43.4609909 70.7679138 ------------------------------ Transdef: Tab for variable 5 1.55223811 2.63482285 2.93205261 3.18086433 3.34225655 3.49475932 3.62741709 3.77133799 3.88188481 3.96347356 4.07539177 4.16959476 4.25442314 4.34121418 4.41848469 4.49458551 4.57556725 4.66293526 4.74329185 4.84480476 4.92798138 5.0296936 5.12453413 5.21975279 5.31459951 5.38803196 5.46381187 5.55928421 5.62157154 5.68776321 5.75821257 5.84271288 5.90477943 5.97255898 6.04286385 6.10765409 6.17249489 6.23264217 6.29851055 6.3577404 6.42231417 6.48382473 6.54506683 6.60400867 6.66798973 6.73000526 6.77935791 6.83543396 6.89232635 6.9371171 6.99093676 7.0485487 7.10599804 7.16326809 7.21098471 7.26882839 7.32071972 7.37391567 7.41822624 7.47043133 7.52524948 7.56974316 7.61053467 7.66393375 7.71245527 7.7615056 7.82013655 7.87274075 7.92491913 7.97305489 8.02534389 8.08216286 8.13722801 8.18466282 8.23695755 8.30218506 8.3576622 8.4120636 8.48070526 8.53393936 8.58229446 8.64295387 8.69779015 8.75752544 8.82719707 8.89357185 8.97134781 9.04954624 9.14120674 9.23392487 9.32605839 9.44360733 9.54952812 9.67812538 9.83768082 9.98035812 10.2474289 10.5284767 10.972086 11.7940264 20.66782 ------------------------------ Transdef: Tab for variable 6 25.0005894 25.3318329 25.6689663 26.0739136 26.5067825 26.9627495 27.3958511 27.8230705 28.2993374 28.9423065 29.5021877 30.1305847 30.8626137 31.5159359 32.2086411 32.9172363 33.6112556 34.3335876 35.2046127 35.9937744 36.7631149 37.3180008 38.1652679 38.976387 39.7290268 40.5253525 41.2648163 41.8828278 42.7253342 43.4509544 44.1230545 44.8152161 45.473484 46.0825272 46.5899887 47.3307457 47.9670258 48.6337776 49.3766289 50.1169128 50.8102875 51.4526901 52.1900101 52.8608017 53.3941727 54.0636902 54.8155708 55.5170441 56.2071114 56.6756592 57.2869873 57.9024887 58.5178375 59.2756996 59.9485474 60.6685944 61.2686462 61.8517914 62.5317078 63.1111031 63.7202034 64.3589401 64.8632507 65.4582672 66.1089401 66.8604126 67.4951248 68.1192017 68.6843719 69.4014282 70.1688843 70.9284744 71.6907654 72.2683411 72.9758377 73.8199997 74.6217346 75.1488647 75.9864655 76.7495117 77.6102753 78.5801086 79.3817139 80.450531 81.3611832 82.4287643 83.5369644 84.5264282 85.7689209 87.1996231 88.7622147 90.5030212 92.2485046 94.5959625 97.3620377 100.68325 104.837372 109.661133 116.272095 128.694397 280.715759 ------------------------------ Transdef: Tab for variable 7 30.188549 33.3980751 35.0757141 36.2756042 37.1067924 37.7838669 38.6445389 39.5775146 40.2059174 40.9805756 41.7228889 42.3241844 43.1891098 44.0210876 44.6936264 45.4507866 46.3386765 47.2101822 48.0595322 48.7966118 49.6936951 50.5829506 51.2166748 51.8795395 52.4957886 53.2631683 54.007103 54.7362289 55.3661118 56.0874367 56.9608421 57.8507118 58.7779617 59.5983353 60.2770386 61.0367393 61.6722412 62.3065491 63.0525322 63.8136292 64.5841599 65.1802979 65.7934265 66.436142 67.0731049 67.8206711 68.5140915 69.2496185 69.8928528 70.6992798 71.4389648 72.1422272 72.9126282 73.6658249 74.5476379 75.3342896 76.0513382 76.7140427 77.7575378 78.6298065 79.4312057 80.2634277 81.1820831 81.9616165 82.953743 83.9681625 85.1722107 86.4504547 87.6567841 88.8430328 90.1740875 91.2293243 92.5074768 94.3958893 96.0454178 97.5358582 99.168663 100.986458 102.963524 104.8601 107.108719 109.25779 111.816589 113.608002 116.132767 118.391243 121.033249 124.016251 126.875504 130.511475 133.3564 137.587372 143.292496 149.938324 155.330017 161.336945 169.626663 180.814575 196.128372 219.866455 517.957397 ------------------------------ Transdef: Tab for variable 8 3.67933035 24.7227631 29.1387482 31.1410542 32.3567123 33.6207237 34.6599236 35.4123077 36.1012306 36.740387 37.2952652 37.8172836 38.5056076 39.0751801 39.6369858 40.2249146 40.7388306 41.2235718 41.8086815 42.4009857 42.9349365 43.6279221 44.1377182 44.5437698 45.1067657 45.7067909 46.3070602 46.8919678 47.437561 48.1007919 48.6678848 49.2015953 49.690033 50.2893372 50.7208824 51.1999207 51.7181931 52.2710648 52.8007812 53.3797073 53.8503876 54.4697304 55.0753555 55.6162796 56.1580772 56.8309555 57.3762207 57.9431152 58.4843674 59.2269592 59.7822189 60.3246918 60.7774734 61.2647438 61.7815628 62.3005981 62.9067383 63.4972687 64.0624695 64.5800934 65.0618515 65.6531677 66.1987762 66.7930222 67.5073624 68.1595001 68.8070221 69.4645996 70.0471802 70.7138672 71.3044205 71.9341888 72.4835052 73.1460037 73.8438873 74.6540146 75.3753891 76.1615601 76.8351135 77.6928253 78.3556671 78.9903564 79.7644196 80.6482544 81.5714874 82.5866547 83.7796936 84.9990845 86.1482239 87.3079605 88.3399429 89.9186707 91.7519073 94.0817261 96.8531036 100.388359 104.133751 109.326889 117.703278 131.477386 304.726288 ------------------------------ Transdef: Tab for variable 9 55.9230614 61.4123154 63.6266174 65.1156769 66.4882355 67.7345734 69.0626373 70.2033997 71.4151917 72.8330536 74.1279907 75.5932007 76.8597412 78.1915283 79.5545044 80.7736893 81.9029312 83.1397858 84.4187393 85.4465332 86.3428345 87.4775772 88.7453461 90.3034515 91.571373 92.7161865 94.0086212 95.0895767 96.3670502 97.5619354 98.5932312 99.8353424 101.153778 102.412415 103.621735 104.893799 106.047211 107.162445 108.129044 109.219315 110.298874 111.527603 112.516777 113.52919 114.625793 115.892494 117.016876 118.103943 119.134995 120.214386 121.32547 122.494148 124.010574 125.104675 126.298477 127.242233 128.192963 129.248138 130.268402 131.355103 132.42775 133.392227 134.537903 135.373871 136.398911 137.281738 138.578049 139.506851 140.519897 141.47757 142.351639 143.292419 144.285431 145.153076 146.392273 147.524673 148.441223 149.610886 150.774445 151.818451 152.99913 154.371735 155.729218 156.865112 158.080963 159.773178 161.238098 162.56073 164.10907 165.631256 167.651764 169.502533 171.558456 173.347534 176.616821 179.608047 183.440338 187.713013 195.361557 210.385803 385.879456 ------------------------------ Transdef: Tab for variable 10 0.0206398834 1.1232022 1.39698863 1.6041255 1.7190454 1.7998575 1.89701486 1.96674669 2.04778671 2.10749197 2.1709156 2.23350143 2.29063559 2.33256102 2.37291241 2.40552664 2.44468403 2.47841501 2.51148057 2.53702331 2.55959463 2.58505654 2.60480928 2.62755203 2.64530301 2.66286111 2.68382263 2.70076203 2.71563864 2.73441172 2.75066257 2.76432657 2.77776337 2.78937721 2.80547404 2.8167305 2.83006072 2.84387493 2.85622525 2.8676784 2.87880325 2.88894987 2.89708948 2.90456748 2.9136138 2.92184281 2.92818856 2.9383564 2.94567394 2.95442247 2.96122241 2.96726513 2.97337246 2.97937489 2.98539925 2.99155855 2.99738407 3.00298595 3.0083828 3.01332188 3.01749563 3.02163601 3.02596855 3.03001261 3.03428578 3.03849363 3.04260993 3.04644251 3.05128956 3.05454612 3.05798411 3.06199121 3.06522369 3.06869411 3.07226086 3.07572627 3.07834291 3.08130169 3.08378744 3.08676291 3.08953524 3.09217978 3.09486771 3.0981617 3.1008563 3.10341167 3.10599852 3.10800314 3.11068797 3.11349297 3.11582732 3.11914396 3.12174559 3.12412643 3.12709045 3.12952232 3.13225317 3.13487387 3.13698387 3.1395607 3.14158249 ------------------------------ Transdef: Tab for variable 11 2.31266022E-05 0.00947964191 0.0188363343 0.0255901814 0.033120513 0.0406134129 0.0490962267 0.0557376146 0.0614470243 0.0685015917 0.0738210678 0.0813555121 0.0873506069 0.0931179523 0.100175977 0.106608272 0.113046408 0.118425995 0.12419498 0.13017416 0.136072159 0.141996488 0.147353053 0.152578175 0.158007622 0.16372323 0.169186234 0.174555898 0.179429591 0.18368721 0.188752651 0.193142831 0.197448492 0.20188427 0.206044793 0.209866568 0.213762879 0.218376845 0.221892044 0.224899411 0.229198992 0.233813345 0.237912148 0.241870403 0.246567369 0.251889586 0.255933046 0.259504139 0.263414443 0.267634511 0.272199035 0.27587992 0.279745936 0.283899575 0.289192915 0.293662071 0.299356431 0.303468466 0.307132244 0.311749995 0.316549271 0.321457535 0.325856984 0.330232322 0.334528118 0.339458197 0.344801068 0.350100428 0.355521023 0.359920889 0.366285801 0.371861458 0.377170563 0.382737249 0.389755785 0.395419449 0.401600868 0.406162024 0.412620664 0.41947937 0.426742315 0.435888827 0.443030953 0.451633751 0.460282087 0.469782829 0.479397953 0.48910439 0.498809814 0.510875225 0.521570146 0.535419106 0.551382661 0.572277129 0.590337634 0.612066329 0.640876293 0.667077303 0.724149942 0.805553555 1.10088217 ------------------------------ Transdef: Tab for variable 12 0.200122789 0.206733793 0.212446168 0.216855198 0.222402066 0.227946997 0.232904255 0.238990366 0.243743435 0.248000219 0.251909852 0.256093889 0.260841191 0.264426053 0.269070029 0.273705125 0.277703524 0.281247377 0.284892321 0.288708925 0.292600989 0.297196507 0.300814748 0.304671288 0.308385581 0.312400281 0.316639841 0.320502162 0.324706614 0.327869922 0.331938326 0.335258901 0.339189142 0.342954814 0.347151637 0.35101366 0.354427755 0.358176738 0.361406088 0.365281284 0.369232297 0.373016179 0.375973582 0.379346877 0.382763147 0.387019157 0.391044497 0.395454437 0.398856223 0.402007669 0.405672848 0.408968151 0.413346946 0.417982668 0.421873331 0.424990833 0.42936939 0.432270646 0.436098367 0.44009155 0.444219351 0.448717415 0.453497887 0.458525419 0.462733537 0.466805041 0.473091722 0.477460623 0.483135343 0.489323437 0.494234532 0.499858439 0.506330729 0.512665749 0.518106818 0.523739398 0.529637337 0.535972714 0.541444898 0.548719347 0.555939794 0.564161181 0.570934296 0.57983768 0.587010264 0.596382201 0.604391932 0.61496067 0.626314819 0.636183619 0.646264434 0.659294009 0.671900272 0.683808446 0.701419711 0.723598599 0.747975826 0.780565798 0.826648116 0.893088043 1.11581552 ------------------------------ Transdef: Tab for variable 13 20.0516586 21.4352417 22.2561226 22.8653297 23.5100117 24.1561012 24.6691437 25.1354465 25.624485 26.1040077 26.4910965 26.9397144 27.3469467 27.7169094 28.1561356 28.5701485 29.0804005 29.4632568 29.9017525 30.2675896 30.6235638 30.9063625 31.1864796 31.5235329 31.8818493 32.2237854 32.6149521 33.0343704 33.370533 33.7096405 34.0605431 34.4086533 34.7427673 35.0958252 35.5027618 35.8067856 36.1888885 36.5493202 36.9030304 37.1764908 37.4905815 37.7843895 38.0569153 38.3617783 38.7004547 39.1293449 39.5341949 39.9030037 40.299408 40.6292191 40.9216309 41.3752747 41.7854538 42.1683807 42.5471382 42.9272079 43.3203011 43.6977005 44.0839119 44.4762039 45.0760155 45.5016937 45.8716202 46.3523026 46.8449478 47.3458214 47.8490181 48.3469505 48.9038582 49.500927 50.0797348 50.5791855 51.1675034 51.7113991 52.3891792 53.0353241 53.7018051 54.4160538 55.1713333 55.8788948 56.7257614 57.5978394 58.5185623 59.3983612 60.2944832 61.12286 62.2211037 63.2882538 64.0768051 65.2628708 66.7210007 67.8164215 69.5106354 71.2189484 73.373558 75.4726944 77.9440994 81.3123093 87.037735 94.788765 199.637161 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.688797 11.2879305 11.7077484 12.1388063 12.4725113 12.8132534 13.1263027 13.4914188 13.9082537 14.2117863 14.5104485 14.8452606 15.1323452 15.3962383 15.6636791 15.9735012 16.2839584 16.5779877 16.8697414 17.153019 17.4536991 17.7530766 18.0430031 18.3236732 18.6178322 18.9567242 19.2737999 19.5193329 19.7934647 20.1109009 20.3704987 20.6468697 20.9083824 21.1661987 21.4572601 21.6830711 21.9701691 22.1969032 22.3974876 22.6641273 22.9116669 23.1423206 23.343338 23.5161991 23.7100658 23.9096489 24.1100235 24.3422737 24.5836983 24.8142986 24.9808731 25.2271671 25.3967819 25.6541996 25.8588905 26.0758934 26.2511272 26.5185356 26.7969055 27.0136948 27.1937275 27.4422989 27.7166367 27.9380226 28.1676273 28.4093323 28.6605339 28.9274635 29.2893887 29.5632057 29.8475628 30.1321182 30.4228172 30.6841774 31.009613 31.2723656 31.5934658 31.9060211 32.2809906 32.6712112 33.0223961 33.3978424 33.7769432 34.1192818 34.5755997 34.9681625 35.4624176 36.1153374 36.6075058 37.4904366 38.2444763 39.0736313 39.9945297 40.9072495 41.8323898 43.1099243 45.3642197 47.4626732 53.0248604 87.1024323 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 52.8 37.6 37.7 31.2 45.6 47.2 42.8 52.4 -14.9 -16.5 -26.4 34.6 33.5 2 52.8 100.0 67.2 53.4 38.9 72.6 94.5 72.9 89.8 -37.2 -27.4 -45.0 62.5 47.3 3 37.6 67.2 100.0 41.4 19.2 42.1 67.3 55.1 76.3 -4.0 -29.2 -52.3 93.0 35.5 4 37.7 53.4 41.4 100.0 14.7 34.1 53.5 42.8 58.2 -4.0 -31.5 -54.3 38.7 90.3 5 31.2 38.9 19.2 14.7 100.0 86.3 9.8 64.3 63.0 32.0 -9.6 -10.4 17.7 12.7 6 45.6 72.6 42.1 34.1 86.3 100.0 49.8 81.8 84.2 3.4 -18.4 -26.4 39.3 30.3 7 47.2 94.5 67.3 53.5 9.8 49.8 100.0 60.0 76.1 -49.5 -26.7 -46.0 62.6 47.5 8 42.8 72.9 55.1 42.8 64.3 81.8 60.0 100.0 83.4 3.1 -24.1 -37.3 51.3 38.0 9 52.4 89.8 76.3 58.2 63.0 84.2 76.1 83.4 100.0 -6.2 -30.0 -49.7 71.2 51.4 10 -14.9 -37.2 -4.0 -4.0 32.0 3.4 -49.5 3.1 -6.2 100.0 1.4 3.4 -3.6 -3.5 11 -16.5 -27.4 -29.2 -31.5 -9.6 -18.4 -26.7 -24.1 -30.0 1.4 100.0 55.4 -27.0 -30.4 12 -26.4 -45.0 -52.3 -54.3 -10.4 -26.4 -46.0 -37.3 -49.7 3.4 55.4 100.0 -48.7 -47.1 13 34.6 62.5 93.0 38.7 17.7 39.3 62.6 51.3 71.2 -3.6 -27.0 -48.7 100.0 41.7 14 33.5 47.3 35.5 90.3 12.7 30.3 47.5 38.0 51.4 -3.5 -30.4 -47.1 41.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 137.809307 TOTAL CORRELATION OF ALL VARIABLES 56.3973722 ROUND 1: MAX CORR ( 56.3969673) AFTER KILLING INPUT VARIABLE 11 CONTR 0.213708536 ROUND 2: MAX CORR ( 56.396231) AFTER KILLING INPUT VARIABLE 14 CONTR 0.288182801 ROUND 3: MAX CORR ( 56.3888119) AFTER KILLING INPUT VARIABLE 13 CONTR 0.914749144 ROUND 4: MAX CORR ( 56.3785815) AFTER KILLING INPUT VARIABLE 8 CONTR 1.07408281 ROUND 5: MAX CORR ( 56.366441) AFTER KILLING INPUT VARIABLE 7 CONTR 1.1699489 ROUND 6: MAX CORR ( 56.3494566) AFTER KILLING INPUT VARIABLE 6 CONTR 1.38362341 ROUND 7: MAX CORR ( 56.3169081) AFTER KILLING INPUT VARIABLE 12 CONTR 1.91497064 ROUND 8: MAX CORR ( 55.9692426) AFTER KILLING INPUT VARIABLE 9 CONTR 6.24804172 ROUND 9: MAX CORR ( 55.6645344) AFTER KILLING INPUT VARIABLE 3 CONTR 5.83230001 ROUND 10: MAX CORR ( 55.4240187) AFTER KILLING INPUT VARIABLE 10 CONTR 5.16899824 ROUND 11: MAX CORR ( 54.0661989) AFTER KILLING INPUT VARIABLE 4 CONTR 12.1929483 ROUND 12: MAX CORR ( 52.8236435) AFTER KILLING INPUT VARIABLE 5 CONTR 11.5246063 LAST REMAINING VARIABLE: 2 total correlation to target: 56.3973722 % total significance: 44.2454836 sigma correlations of single variables to target: variable 2: 52.8236435 % , in sigma: 41.4417829 variable 3: 37.5803255 % , in sigma: 29.4829282 variable 4: 37.7363378 % , in sigma: 29.6053247 variable 5: 31.178836 % , in sigma: 24.4607616 variable 6: 45.6453763 % , in sigma: 35.8102102 variable 7: 47.1631796 % , in sigma: 37.0009738 variable 8: 42.8396725 % , in sigma: 33.6090487 variable 9: 52.3688661 % , in sigma: 41.0849959 variable 10: -14.8932642 % , in sigma: 11.6842266 variable 11: -16.5470487 % , in sigma: 12.9816717 variable 12: -26.3730441 % , in sigma: 20.6904691 variable 13: 34.5947885 % , in sigma: 27.1406821 variable 14: 33.4527044 % , in sigma: 26.2446817 variables sorted by significance: 1 most relevant variable 2 corr 52.8236427 , in sigma: 41.4417823 2 most relevant variable 5 corr 11.5246067 , in sigma: 9.04141057 3 most relevant variable 4 corr 12.1929483 , in sigma: 9.56574527 4 most relevant variable 10 corr 5.16899824 , in sigma: 4.05523907 5 most relevant variable 3 corr 5.83230019 , in sigma: 4.57561997 6 most relevant variable 9 corr 6.24804163 , in sigma: 4.90178199 7 most relevant variable 12 corr 1.91497064 , in sigma: 1.50235372 8 most relevant variable 6 corr 1.38362336 , in sigma: 1.08549534 9 most relevant variable 7 corr 1.16994894 , in sigma: 0.917861142 10 most relevant variable 8 corr 1.07408285 , in sigma: 0.842651233 11 most relevant variable 13 corr 0.914749146 , in sigma: 0.71764901 12 most relevant variable 14 corr 0.288182795 , in sigma: 0.22608832 13 most relevant variable 11 corr 0.213708535 , in sigma: 0.167660958 global correlations between input variables: variable 2: 99.498528 % variable 3: 96.9348336 % variable 4: 94.4848919 % variable 5: 96.5748999 % variable 6: 96.6372788 % variable 7: 99.2057924 % variable 8: 88.9253311 % variable 9: 99.0120052 % variable 10: 75.0064742 % variable 11: 56.4165836 % variable 12: 72.8079013 % variable 13: 95.103413 % variable 14: 93.2939359 % significance loss when removing single variables: variable 2: corr = 2.98782072 % , sigma = 2.34403781 variable 3: corr = 5.9507306 % , sigma = 4.66853229 variable 4: corr = 7.32425977 % , sigma = 5.74610843 variable 5: corr = 8.68042946 % , sigma = 6.81006551 variable 6: corr = 1.71336356 % , sigma = 1.34418673 variable 7: corr = 1.50438409 % , sigma = 1.18023587 variable 8: corr = 1.08908883 % , sigma = 0.854423885 variable 9: corr = 5.24768516 % , sigma = 4.11697139 variable 10: corr = 6.17760472 % , sigma = 4.84652206 variable 11: corr = 0.213708536 % , sigma = 0.167660959 variable 12: corr = 1.73348604 % , sigma = 1.35997344 variable 13: corr = 0.911241356 % , sigma = 0.71489704 variable 14: corr = 0.263399974 % , sigma = 0.20664543 Keep only 6 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 7 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 15.2849331 sigma out 15 active outputs RANK 2 NODE 5 --> 14.8090429 sigma out 15 active outputs RANK 3 NODE 7 --> 14.6693678 sigma out 15 active outputs RANK 4 NODE 6 --> 13.0482082 sigma out 15 active outputs RANK 5 NODE 3 --> 11.5032043 sigma out 15 active outputs RANK 6 NODE 1 --> 10.9115982 sigma out 15 active outputs RANK 7 NODE 4 --> 8.0957098 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 16.636549 sigma in 7act. ( 18.0524178 sig out 1act.) RANK 2 NODE 13 --> 14.1766548 sigma in 7act. ( 15.9739647 sig out 1act.) RANK 3 NODE 3 --> 12.789197 sigma in 7act. ( 12.840414 sig out 1act.) RANK 4 NODE 8 --> 9.74610901 sigma in 7act. ( 8.94138336 sig out 1act.) RANK 5 NODE 5 --> 9.6957016 sigma in 7act. ( 10.3658352 sig out 1act.) RANK 6 NODE 1 --> 7.7157917 sigma in 7act. ( 8.08212757 sig out 1act.) RANK 7 NODE 9 --> 7.68257427 sigma in 7act. ( 7.730937 sig out 1act.) RANK 8 NODE 12 --> 7.33785057 sigma in 7act. ( 6.55364323 sig out 1act.) RANK 9 NODE 15 --> 7.11544895 sigma in 7act. ( 8.00093269 sig out 1act.) RANK 10 NODE 6 --> 6.53108692 sigma in 7act. ( 7.00312138 sig out 1act.) RANK 11 NODE 4 --> 6.42909098 sigma in 7act. ( 6.19984531 sig out 1act.) RANK 12 NODE 14 --> 3.19568586 sigma in 7act. ( 3.07189083 sig out 1act.) RANK 13 NODE 10 --> 2.33925343 sigma in 7act. ( 1.84785402 sig out 1act.) RANK 14 NODE 11 --> 1.17623651 sigma in 7act. ( 1.40806651 sig out 1act.) RANK 15 NODE 2 --> 0.956878781 sigma in 7act. ( 0.945248902 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 18.0524178 sigma out 1act.( 16.636549 sig in 7act.) RANK 2 NODE 13 --> 15.9739647 sigma out 1act.( 14.1766548 sig in 7act.) RANK 3 NODE 3 --> 12.840414 sigma out 1act.( 12.789197 sig in 7act.) RANK 4 NODE 5 --> 10.3658352 sigma out 1act.( 9.6957016 sig in 7act.) RANK 5 NODE 8 --> 8.94138336 sigma out 1act.( 9.74610901 sig in 7act.) RANK 6 NODE 1 --> 8.08212757 sigma out 1act.( 7.7157917 sig in 7act.) RANK 7 NODE 15 --> 8.00093269 sigma out 1act.( 7.11544895 sig in 7act.) RANK 8 NODE 9 --> 7.730937 sigma out 1act.( 7.68257427 sig in 7act.) RANK 9 NODE 6 --> 7.00312138 sigma out 1act.( 6.53108692 sig in 7act.) RANK 10 NODE 12 --> 6.55364323 sigma out 1act.( 7.33785057 sig in 7act.) RANK 11 NODE 4 --> 6.19984531 sigma out 1act.( 6.42909098 sig in 7act.) RANK 12 NODE 14 --> 3.07189083 sigma out 1act.( 3.19568586 sig in 7act.) RANK 13 NODE 10 --> 1.84785402 sigma out 1act.( 2.33925343 sig in 7act.) RANK 14 NODE 11 --> 1.40806651 sigma out 1act.( 1.17623651 sig in 7act.) RANK 15 NODE 2 --> 0.945248902 sigma out 1act.( 0.956878781 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 35.6173363 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 7 --> 19.267334 sigma out 15 active outputs RANK 2 NODE 2 --> 15.278266 sigma out 15 active outputs RANK 3 NODE 5 --> 14.5699148 sigma out 15 active outputs RANK 4 NODE 6 --> 13.4237442 sigma out 15 active outputs RANK 5 NODE 1 --> 12.4565687 sigma out 15 active outputs RANK 6 NODE 3 --> 10.9045086 sigma out 15 active outputs RANK 7 NODE 4 --> 8.35853767 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 14.4994173 sigma in 7act. ( 14.6801968 sig out 1act.) RANK 2 NODE 13 --> 13.4925699 sigma in 7act. ( 12.8394928 sig out 1act.) RANK 3 NODE 3 --> 12.5916147 sigma in 7act. ( 12.4043407 sig out 1act.) RANK 4 NODE 5 --> 12.5707445 sigma in 7act. ( 11.2547436 sig out 1act.) RANK 5 NODE 11 --> 9.37207699 sigma in 7act. ( 4.74524498 sig out 1act.) RANK 6 NODE 2 --> 8.93892574 sigma in 7act. ( 5.20872402 sig out 1act.) RANK 7 NODE 9 --> 8.87384129 sigma in 7act. ( 7.0736742 sig out 1act.) RANK 8 NODE 8 --> 8.82993984 sigma in 7act. ( 7.11209726 sig out 1act.) RANK 9 NODE 15 --> 7.99000311 sigma in 7act. ( 7.46284676 sig out 1act.) RANK 10 NODE 6 --> 7.90350294 sigma in 7act. ( 6.53088045 sig out 1act.) RANK 11 NODE 4 --> 7.4888587 sigma in 7act. ( 5.4183917 sig out 1act.) RANK 12 NODE 12 --> 6.64655447 sigma in 7act. ( 5.1103158 sig out 1act.) RANK 13 NODE 1 --> 6.54237413 sigma in 7act. ( 5.66828823 sig out 1act.) RANK 14 NODE 14 --> 5.60788202 sigma in 7act. ( 3.23059177 sig out 1act.) RANK 15 NODE 10 --> 2.63632441 sigma in 7act. ( 0.711477757 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 14.6801968 sigma out 1act.( 14.4994173 sig in 7act.) RANK 2 NODE 13 --> 12.8394928 sigma out 1act.( 13.4925699 sig in 7act.) RANK 3 NODE 3 --> 12.4043407 sigma out 1act.( 12.5916147 sig in 7act.) RANK 4 NODE 5 --> 11.2547436 sigma out 1act.( 12.5707445 sig in 7act.) RANK 5 NODE 15 --> 7.46284676 sigma out 1act.( 7.99000311 sig in 7act.) RANK 6 NODE 8 --> 7.11209726 sigma out 1act.( 8.82993984 sig in 7act.) RANK 7 NODE 9 --> 7.0736742 sigma out 1act.( 8.87384129 sig in 7act.) RANK 8 NODE 6 --> 6.53088045 sigma out 1act.( 7.90350294 sig in 7act.) RANK 9 NODE 1 --> 5.66828823 sigma out 1act.( 6.54237413 sig in 7act.) RANK 10 NODE 4 --> 5.4183917 sigma out 1act.( 7.4888587 sig in 7act.) RANK 11 NODE 2 --> 5.20872402 sigma out 1act.( 8.93892574 sig in 7act.) RANK 12 NODE 12 --> 5.1103158 sigma out 1act.( 6.64655447 sig in 7act.) RANK 13 NODE 11 --> 4.74524498 sigma out 1act.( 9.37207699 sig in 7act.) RANK 14 NODE 14 --> 3.23059177 sigma out 1act.( 5.60788202 sig in 7act.) RANK 15 NODE 10 --> 0.711477757 sigma out 1act.( 2.63632441 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 31.7499275 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.448367327 *** contribution from regularisation: 0.0146817584 *** contribution from error: -0.463049084 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.511055291 *** contribution from regularisation: 0.00748745212 *** contribution from error: -0.518542767 *********************************************** -----------------> Test sample ENTER BFGS code START -9731.37484 0.447706133 -0.19730249 EXIT FROM BFGS code FG_START 0. 0.447706133 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.523596823 *** contribution from regularisation: 0.00557746831 *** contribution from error: -0.529174268 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -9968.23674 0.447706133 4.33898258 EXIT FROM BFGS code FG_LNSRCH 0. 0.458166957 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.519970834 *** contribution from regularisation: 0.00726087298 *** contribution from error: -0.527231693 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9899.20463 0.458166957 -22.0364246 EXIT FROM BFGS code FG_LNSRCH 0. 0.451745123 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.529575348 *** contribution from regularisation: 0.00669662934 *** contribution from error: -0.536271989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10082.0554 0.451745123 -3.50949025 EXIT FROM BFGS code NEW_X -10082.0554 0.451745123 -3.50949025 ENTER BFGS code NEW_X -10082.0554 0.451745123 -3.50949025 EXIT FROM BFGS code FG_LNSRCH 0. 0.448472202 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.5300861 *** contribution from regularisation: 0.00669279834 *** contribution from error: -0.536778927 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10091.7788 0.448472202 -3.24920774 EXIT FROM BFGS code NEW_X -10091.7788 0.448472202 -3.24920774 ENTER BFGS code NEW_X -10091.7788 0.448472202 -3.24920774 EXIT FROM BFGS code FG_LNSRCH 0. 0.40521422 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.529747725 *** contribution from regularisation: 0.00604675384 *** contribution from error: -0.535794497 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10085.3376 0.40521422 -7.02857018 EXIT FROM BFGS code FG_LNSRCH 0. 0.431252211 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.529904127 *** contribution from regularisation: 0.0078093796 *** contribution from error: -0.537713528 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10088.3152 0.431252211 -5.58514404 EXIT FROM BFGS code FG_LNSRCH 0. 0.44415167 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.530359805 *** contribution from regularisation: 0.00683976244 *** contribution from error: -0.537199557 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10096.9905 0.44415167 -4.14670229 EXIT FROM BFGS code NEW_X -10096.9905 0.44415167 -4.14670229 ENTER BFGS code NEW_X -10096.9905 0.44415167 -4.14670229 EXIT FROM BFGS code FG_LNSRCH 0. 0.39664349 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 7 --> 13.8689585 sigma out 15 active outputs RANK 2 NODE 1 --> 8.47460938 sigma out 15 active outputs RANK 3 NODE 2 --> 7.20567894 sigma out 15 active outputs RANK 4 NODE 5 --> 6.78260183 sigma out 15 active outputs RANK 5 NODE 6 --> 6.60543966 sigma out 15 active outputs RANK 6 NODE 4 --> 5.46885347 sigma out 15 active outputs RANK 7 NODE 3 --> 5.33242798 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 9.70549488 sigma in 7act. ( 8.48394775 sig out 1act.) RANK 2 NODE 2 --> 7.50485229 sigma in 7act. ( 7.32578564 sig out 1act.) RANK 3 NODE 3 --> 7.48060369 sigma in 7act. ( 7.08583498 sig out 1act.) RANK 4 NODE 11 --> 7.08881092 sigma in 7act. ( 6.95231771 sig out 1act.) RANK 5 NODE 13 --> 6.59020424 sigma in 7act. ( 5.73545933 sig out 1act.) RANK 6 NODE 9 --> 6.38007069 sigma in 7act. ( 5.49713898 sig out 1act.) RANK 7 NODE 7 --> 5.54633236 sigma in 7act. ( 4.93368578 sig out 1act.) RANK 8 NODE 6 --> 4.68585587 sigma in 7act. ( 3.73307967 sig out 1act.) RANK 9 NODE 15 --> 4.63834667 sigma in 7act. ( 4.35133123 sig out 1act.) RANK 10 NODE 4 --> 4.37973356 sigma in 7act. ( 3.3170619 sig out 1act.) RANK 11 NODE 14 --> 3.22841978 sigma in 7act. ( 2.04576516 sig out 1act.) RANK 12 NODE 8 --> 2.70528221 sigma in 7act. ( 1.20232379 sig out 1act.) RANK 13 NODE 12 --> 2.46119785 sigma in 7act. ( 1.63429391 sig out 1act.) RANK 14 NODE 1 --> 2.05212831 sigma in 7act. ( 0.580563426 sig out 1act.) RANK 15 NODE 10 --> 1.33263898 sigma in 7act. ( 0.279503763 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 8.48394775 sigma out 1act.( 9.70549488 sig in 7act.) RANK 2 NODE 2 --> 7.32578564 sigma out 1act.( 7.50485229 sig in 7act.) RANK 3 NODE 3 --> 7.08583498 sigma out 1act.( 7.48060369 sig in 7act.) RANK 4 NODE 11 --> 6.95231771 sigma out 1act.( 7.08881092 sig in 7act.) RANK 5 NODE 13 --> 5.73545933 sigma out 1act.( 6.59020424 sig in 7act.) RANK 6 NODE 9 --> 5.49713898 sigma out 1act.( 6.38007069 sig in 7act.) RANK 7 NODE 7 --> 4.93368578 sigma out 1act.( 5.54633236 sig in 7act.) RANK 8 NODE 15 --> 4.35133123 sigma out 1act.( 4.63834667 sig in 7act.) RANK 9 NODE 6 --> 3.73307967 sigma out 1act.( 4.68585587 sig in 7act.) RANK 10 NODE 4 --> 3.3170619 sigma out 1act.( 4.37973356 sig in 7act.) RANK 11 NODE 14 --> 2.04576516 sigma out 1act.( 3.22841978 sig in 7act.) RANK 12 NODE 12 --> 1.63429391 sigma out 1act.( 2.46119785 sig in 7act.) RANK 13 NODE 8 --> 1.20232379 sigma out 1act.( 2.70528221 sig in 7act.) RANK 14 NODE 1 --> 0.580563426 sigma out 1act.( 2.05212831 sig in 7act.) RANK 15 NODE 10 --> 0.279503763 sigma out 1act.( 1.33263898 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 19.0848961 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.531796992 *** contribution from regularisation: 0.00581612485 *** contribution from error: -0.537613094 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -10124.3513 0.39664349 -2.13456368 EXIT FROM BFGS code NEW_X -10124.3513 0.39664349 -2.13456368 ENTER BFGS code NEW_X -10124.3513 0.39664349 -2.13456368 EXIT FROM BFGS code FG_LNSRCH 0. 0.336797893 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.531911314 *** contribution from regularisation: 0.00513020391 *** contribution from error: -0.537041545 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10126.5278 0.336797893 -4.92371035 EXIT FROM BFGS code NEW_X -10126.5278 0.336797893 -4.92371035 ENTER BFGS code NEW_X -10126.5278 0.336797893 -4.92371035 EXIT FROM BFGS code FG_LNSRCH 0. 0.0680667907 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.484385163 *** contribution from regularisation: 0.00576077169 *** contribution from error: -0.490145922 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9221.72482 0.0680667907 196.265625 EXIT FROM BFGS code FG_LNSRCH 0. 0.310832024 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.527412355 *** contribution from regularisation: 0.00945703499 *** contribution from error: -0.536869407 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10040.8759 0.310832024 -1.83662093 EXIT FROM BFGS code FG_LNSRCH 0. 0.33618173 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.53152746 *** contribution from regularisation: 0.00551051274 *** contribution from error: -0.537037969 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10119.2193 0.33618173 -4.14825153 EXIT FROM BFGS code FG_LNSRCH 0. 0.336793542 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.530858397 *** contribution from regularisation: 0.00618309528 *** contribution from error: -0.537041485 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10106.4819 0.336793542 -4.18650436 EXIT FROM BFGS code FG_LNSRCH 0. 0.336797893 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.531165838 *** contribution from regularisation: 0.00587566197 *** contribution from error: -0.537041485 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10112.3358 0.336797893 -4.09898853 EXIT FROM BFGS code FG_LNSRCH 0. 0.336797893 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.531018794 *** contribution from regularisation: 0.00602271827 *** contribution from error: -0.537041485 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10109.5361 0.336797893 -4.20695448 EXIT FROM BFGS code FG_LNSRCH 0. 0.336797893 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.531002223 *** contribution from regularisation: 0.0060392851 *** contribution from error: -0.537041485 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10109.2207 0.336797893 -4.11075211 EXIT FROM BFGS code FG_LNSRCH 0. 0.336797893 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.531056821 *** contribution from regularisation: 0.00598470075 *** contribution from error: -0.537041545 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10110.2599 0.336797893 -4.10488462 EXIT FROM BFGS code NEW_X -10110.2599 0.336797893 -4.10488462 ENTER BFGS code NEW_X -10110.2599 0.336797893 -4.10488462 EXIT FROM BFGS code CONVERGENC -10110.2599 0.336797893 -4.10488462 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 7 --> 22.316267 sigma out 15 active outputs RANK 2 NODE 1 --> 13.4243317 sigma out 15 active outputs RANK 3 NODE 2 --> 9.77584362 sigma out 15 active outputs RANK 4 NODE 4 --> 9.41358757 sigma out 15 active outputs RANK 5 NODE 6 --> 8.75034618 sigma out 15 active outputs RANK 6 NODE 5 --> 8.56765079 sigma out 15 active outputs RANK 7 NODE 3 --> 8.33795166 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 16.8807964 sigma in 7act. ( 13.6592207 sig out 1act.) RANK 2 NODE 3 --> 12.4625845 sigma in 7act. ( 10.3469477 sig out 1act.) RANK 3 NODE 2 --> 11.9356289 sigma in 7act. ( 12.3816805 sig out 1act.) RANK 4 NODE 11 --> 11.2134638 sigma in 7act. ( 12.3449926 sig out 1act.) RANK 5 NODE 9 --> 9.99099255 sigma in 7act. ( 9.2152319 sig out 1act.) RANK 6 NODE 13 --> 9.52042961 sigma in 7act. ( 8.60915947 sig out 1act.) RANK 7 NODE 15 --> 6.88356733 sigma in 7act. ( 6.44063091 sig out 1act.) RANK 8 NODE 7 --> 6.31472301 sigma in 7act. ( 5.18736744 sig out 1act.) RANK 9 NODE 6 --> 5.8414278 sigma in 7act. ( 4.7126646 sig out 1act.) RANK 10 NODE 4 --> 5.75888586 sigma in 7act. ( 4.73140526 sig out 1act.) RANK 11 NODE 14 --> 3.60878515 sigma in 7act. ( 2.717731 sig out 1act.) RANK 12 NODE 8 --> 2.35670757 sigma in 7act. ( 0.213219076 sig out 1act.) RANK 13 NODE 12 --> 2.14863682 sigma in 7act. ( 1.03894341 sig out 1act.) RANK 14 NODE 1 --> 1.84930146 sigma in 7act. ( 0.216599748 sig out 1act.) RANK 15 NODE 10 --> 1.34490979 sigma in 7act. ( 0.701947451 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 13.6592207 sigma out 1act.( 16.8807964 sig in 7act.) RANK 2 NODE 2 --> 12.3816805 sigma out 1act.( 11.9356289 sig in 7act.) RANK 3 NODE 11 --> 12.3449926 sigma out 1act.( 11.2134638 sig in 7act.) RANK 4 NODE 3 --> 10.3469477 sigma out 1act.( 12.4625845 sig in 7act.) RANK 5 NODE 9 --> 9.2152319 sigma out 1act.( 9.99099255 sig in 7act.) RANK 6 NODE 13 --> 8.60915947 sigma out 1act.( 9.52042961 sig in 7act.) RANK 7 NODE 15 --> 6.44063091 sigma out 1act.( 6.88356733 sig in 7act.) RANK 8 NODE 7 --> 5.18736744 sigma out 1act.( 6.31472301 sig in 7act.) RANK 9 NODE 4 --> 4.73140526 sigma out 1act.( 5.75888586 sig in 7act.) RANK 10 NODE 6 --> 4.7126646 sigma out 1act.( 5.8414278 sig in 7act.) RANK 11 NODE 14 --> 2.717731 sigma out 1act.( 3.60878515 sig in 7act.) RANK 12 NODE 12 --> 1.03894341 sigma out 1act.( 2.14863682 sig in 7act.) RANK 13 NODE 10 --> 0.701947451 sigma out 1act.( 1.34490979 sig in 7act.) RANK 14 NODE 1 --> 0.216599748 sigma out 1act.( 1.84930146 sig in 7act.) RANK 15 NODE 8 --> 0.213219076 sigma out 1act.( 2.35670757 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 29.6717548 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.531046093 *** contribution from regularisation: 0.00599546498 *** contribution from error: -0.537041545 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done