NNInput NNInputs_175.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= 41041 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 = 10597 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 10597 Chosen entries: 10597 Signal fraction: 1 Background fraction: 0.348082 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 10597 Entries to split: 10597 Test with : 5298 Train with : 5298 ********************************************* * 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= 10597 for Signal Prepared event 0 for Signal with 10597 events ====Entry 0 Variable Ht : 292.709 Variable LepAPt : 22.1475 Variable LepBPt : 20.4834 Variable MetSigLeptonsJets : 12.2726 Variable MetSpec : 147.757 Variable SumEtLeptonsJets : 144.951 Variable VSumJetLeptonsPt : 109.849 Variable addEt : 190.389 Variable dPhiLepSumMet : 2.13148 Variable dPhiLeptons : 0.210508 Variable dRLeptons : 0.522099 Variable lep1_E : 23.2145 Variable lep2_E : 27.1596 ===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 = 2175 Ht = 292.709 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.1479 LepAPt = 22.1475 LepBEt = 20.4836 LepBPt = 20.4834 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 147.757 MetDelPhi = 2.03035 MetSig = 10.0863 MetSigLeptonsJets = 12.2726 MetSpec = 147.757 Mjj = 0 MostCentralJetEta = 1.29549 MtllMet = 196.574 Njets = 1 SB = 0 SumEt = 214.602 SumEtJets = 0 SumEtLeptonsJets = 144.951 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 109.849 addEt = 190.389 dPhiLepSumMet = 2.13148 dPhiLeptons = 0.210508 dRLeptons = 0.522099 diltype = 19 dimass = 11.2094 event = 424 jet1_Et = 102.32 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.2145 lep2_E = 27.1596 rand = 0.999742 run = 236503 weight = 2.95242e-06 ===Show End Prepared event 10000 for Signal with 10597 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 30444 for Background Prepared event 0 for Background with 30444 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 1.29002 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 1037 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 41041 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 1037 negative weights. Signal fraction: 62.712513 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 56.0800056 62.6319504 64.1096039 66.5495148 68.0948334 70.180954 71.6074066 73.7103577 75.4173737 77.2696228 79.039093 80.4951019 81.9426117 83.8014832 85.6778564 87.1716461 88.883728 90.7316589 92.1071625 93.6296997 94.9564056 96.536911 98.1348801 99.6287231 101.28125 102.791725 104.168503 105.484138 106.790443 107.96199 109.485016 110.770432 112.473137 114.006836 115.435394 117.169296 118.603683 120.299797 121.495415 122.905624 124.413864 125.682053 127.067673 128.550171 129.792221 131.143723 132.296051 133.619843 134.980011 136.185944 137.508148 138.852295 140.271057 141.420868 142.3396 143.524506 144.79422 145.865784 147.213104 148.478271 149.752075 150.938873 152.163254 153.425644 154.736572 155.788208 156.97644 158.436859 159.984436 161.457184 162.897095 164.53299 165.947479 167.460739 169.182999 170.947327 173.061371 175.283646 177.085846 179.037781 181.095642 183.147369 185.683746 188.083862 191.183197 193.640411 196.366257 199.683792 203.24884 207.613312 212.397842 217.1138 223.059998 229.539154 236.871719 244.733871 255.04129 271.4104 289.349304 325.358856 741.364441 ------------------------------ Transdef: Tab for variable 3 20.0021973 20.5259972 21.0713501 21.4949017 21.9839211 22.4027786 22.8358707 23.2030048 23.5493393 23.9681511 24.2673855 24.5842857 24.9474106 25.2419167 25.5190544 25.8648911 26.176302 26.4759064 26.7740669 27.0662422 27.4012032 27.7388229 28.089119 28.3808327 28.6917725 28.9982491 29.2975807 29.5790901 29.8367615 30.1120911 30.4183521 30.7043839 30.9982338 31.2991447 31.5922031 31.8966751 32.1406364 32.4335556 32.746376 33.0747681 33.4174347 33.7743378 34.0858612 34.3567123 34.6457329 34.9968872 35.2862244 35.557621 35.8793602 36.1573486 36.4189491 36.7345123 37.0886879 37.4166336 37.7261086 38.0388794 38.3612595 38.6946335 38.9886169 39.3273315 39.6538467 39.9828339 40.2823067 40.6373787 40.9933243 41.3325577 41.6838226 42.0394325 42.4482956 42.8073273 43.2141304 43.5987244 44.0858765 44.4701767 44.9304962 45.3535919 45.7558861 46.2402191 46.8083382 47.2840004 47.9153671 48.3997345 48.9949799 49.4825897 50.043354 50.7126846 51.5004158 52.2898941 53.0785217 53.7916718 54.5698166 55.5037308 56.5125732 57.5508919 59.0358582 60.7564163 62.9373856 65.7842712 70.0964508 79.0826035 160.78508 ------------------------------ Transdef: Tab for variable 4 10.0011187 10.2169571 10.439023 10.6420689 10.9200974 11.2195702 11.4863176 11.7616634 12.0318384 12.2754555 12.6061201 12.8515148 13.1310177 13.3900204 13.6102352 13.8677692 14.1633615 14.39925 14.6625357 14.9601421 15.246254 15.5152493 15.7951756 16.074194 16.3715153 16.6838684 16.9693184 17.2815857 17.6365337 17.8773861 18.2075119 18.4984703 18.798481 19.1094875 19.3384514 19.5779991 19.8769226 20.1351929 20.3449287 20.5775661 20.764534 21.0139503 21.2026901 21.4266453 21.637455 21.8179817 22.0373077 22.2755814 22.4975815 22.6910515 22.9224739 23.1186829 23.3152294 23.5570736 23.7315826 23.9537621 24.1569672 24.4070034 24.6348133 24.8725853 25.1101608 25.3155327 25.5390549 25.7792473 26.0307007 26.2554188 26.4588127 26.6821194 26.9103889 27.1326065 27.3947487 27.5999794 27.8993778 28.1421204 28.4370232 28.7328529 28.9860764 29.2791042 29.5762234 29.8692131 30.1512527 30.423645 30.7429466 31.0797825 31.3892212 31.770443 32.1535187 32.5693626 33.0347443 33.4506149 33.9399948 34.5369568 35.0831375 35.6553879 36.4005928 37.3427849 38.4383926 40.0490952 42.1991158 45.8405457 69.6896133 ------------------------------ Transdef: Tab for variable 5 1.55223811 2.60738277 2.92051554 3.1311264 3.32628727 3.52937031 3.68891525 3.81112552 3.90822029 4.00327826 4.09884167 4.19389629 4.27372122 4.34164715 4.44051886 4.52609587 4.61959934 4.7035923 4.79651737 4.86233854 4.95034695 5.04089785 5.14410114 5.24378681 5.33555174 5.41333771 5.52099895 5.5977354 5.66454458 5.75099373 5.82770824 5.8943572 5.97983646 6.05393124 6.11238766 6.19156265 6.26896381 6.33076715 6.39612579 6.47732258 6.54127407 6.60303164 6.65673304 6.70926809 6.76534939 6.81059217 6.86011982 6.91653919 6.97190714 7.02541065 7.08430386 7.13749933 7.18932247 7.24818325 7.29638958 7.33833694 7.39157963 7.44091129 7.4832716 7.53109074 7.58561516 7.63233614 7.68269348 7.72523594 7.77943468 7.83384323 7.87998676 7.92790794 7.98425579 8.03167152 8.08213234 8.12470627 8.18520927 8.2336874 8.28764915 8.34029484 8.39344692 8.44924545 8.50491905 8.55602837 8.60833168 8.65791321 8.72221088 8.78242493 8.84217072 8.92208862 8.99981308 9.0762825 9.14574051 9.23689461 9.31638813 9.41270161 9.52326584 9.6494751 9.82679367 10.0138206 10.2658024 10.5541306 11.0244198 11.7227955 16.7444763 ------------------------------ Transdef: Tab for variable 6 25.0005894 25.342865 25.7063808 26.1037636 26.5901165 27.059803 27.4547939 27.961422 28.4547634 28.886898 29.5275936 30.2494926 31.103817 31.6980705 32.4432869 33.1741982 33.9375687 34.9089584 35.7947311 36.5830154 37.4094162 38.2303925 38.9476013 39.7613602 40.6014481 41.3222733 42.0845184 42.7915268 43.5947037 44.3219872 44.9305038 45.6066895 46.2147827 46.7859802 47.6445236 48.4351654 49.109848 49.7098236 50.3884583 51.2176514 52.0251083 52.8173828 53.5964584 54.1817627 54.8311768 55.5367088 56.1066742 56.7554817 57.320755 57.9096985 58.5601616 59.220314 59.7234802 60.395195 60.9687195 61.6209412 62.2471123 62.9206848 63.6250076 64.2734528 64.870697 65.4513779 66.0415115 66.6307373 67.4061432 67.9868927 68.5927887 69.1081161 69.7265778 70.3163147 71.0028229 71.6368866 72.3528595 73.0095215 73.7686996 74.4783096 75.0608978 75.7823486 76.5003433 77.1933136 77.8892822 78.6675644 79.4651031 80.2124329 80.9922791 81.9763641 82.8994751 83.9087067 85.1250305 86.3781128 87.6720734 89.2280502 90.9731445 93.6196365 96.8064804 100.015152 103.946808 109.277283 116.656082 129.854248 221.128448 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.9484558 35.1532288 36.2759857 37.3563919 38.2797852 39.2244339 40.047924 40.9260025 41.7248039 42.4724045 43.2141991 44.0335808 44.7002831 45.5611267 46.417038 47.1454391 47.9921341 48.7402 49.4228516 50.0465088 50.8614426 51.5181656 52.2910156 53.1366882 53.9372025 54.7836952 55.5682259 56.3542976 57.1081047 57.9326553 58.7745895 59.5113602 60.3119431 61.1754265 61.9897423 62.7260742 63.4210281 64.2841797 65.0887299 65.7551422 66.4195404 67.1063843 67.7740936 68.506218 69.2051849 69.8740692 70.6793137 71.3005295 71.9535751 72.6123047 73.297081 73.9737701 74.6946106 75.2987137 75.8782806 76.5266266 77.3027649 78.1867218 78.9547882 79.7680359 80.6951065 81.7231827 82.715683 83.9459229 85.0945358 86.2683411 87.5518188 88.9014587 90.1904449 91.5240784 92.7963409 94.049057 95.5426483 96.9377136 98.5831909 100.201859 101.830566 103.344101 105.354187 107.474411 109.895081 111.924683 113.652969 115.873009 118.249298 120.853828 123.775986 127.495964 131.010864 135.015549 139.449127 143.59082 147.835358 153.349548 159.720062 168.762604 180.950119 198.282654 227.715637 445.985931 ------------------------------ Transdef: Tab for variable 8 1.5574683 24.8124352 29.9150257 31.7930183 33.0093765 34.2742844 35.0796432 35.6639862 36.4969177 37.2074661 37.7473602 38.4290009 39.1550446 39.713913 40.2578583 40.8734627 41.3769646 42.0089569 42.4532928 43.1485443 43.8019409 44.3416595 44.9166565 45.5630035 46.1013489 46.6519775 47.2255402 47.8142815 48.2728043 48.833744 49.307991 49.8041077 50.3693733 50.8869629 51.5164871 52.0576172 52.5499954 53.0833817 53.6384277 54.2041702 54.8013458 55.3381691 55.8850784 56.4495506 57.0764885 57.641964 58.2171631 58.7975731 59.4002991 59.922699 60.4988213 61.1433105 61.6610794 62.1889153 62.7243462 63.3084373 63.9238968 64.4597855 65.0140915 65.5780792 66.0688553 66.6148071 67.1939621 67.7532501 68.351181 68.8742599 69.4550018 69.9897461 70.6059113 71.192131 71.6852722 72.2795486 72.8811874 73.5644379 74.1089249 74.7014923 75.2920609 75.9397736 76.5015106 77.2616119 77.9834747 78.5400848 79.4537354 80.2064209 81.001297 81.9994125 82.9390717 84.0018234 85.3226776 86.6135559 87.9871063 89.6711578 91.1266479 92.8182831 95.8748932 100.159599 104.165123 109.714874 117.450165 130.024597 307.323639 ------------------------------ Transdef: Tab for variable 9 56.0800056 61.9121628 63.9005737 65.3339081 67.0415802 68.1538086 69.7191772 70.8243866 72.185318 73.6506805 75.0048218 76.5137482 77.7212296 79.1819839 80.2365723 81.4853363 82.6932678 84.1952209 85.6675949 86.6581573 87.9325409 89.3799057 90.77742 91.9395752 93.1843262 94.39711 95.6986618 96.8097382 98.0409241 99.2922211 100.793503 101.981491 103.234985 104.475571 105.593971 106.65477 107.93969 109.241135 110.279373 111.416687 112.619781 113.835709 114.988754 116.258408 117.56572 118.609932 119.796417 120.964287 122.152893 123.268814 124.41571 125.550026 126.625389 127.62149 128.625244 129.608505 130.627426 131.639771 132.740753 133.817413 135.041199 135.88623 136.775742 137.714584 138.608612 139.627686 140.748978 141.531296 142.429321 143.232178 144.278534 145.196884 146.04541 147.000458 147.978821 149.007263 149.867233 150.8918 151.702057 152.717438 153.684387 154.676208 155.570068 156.73732 157.849457 158.680206 159.963837 161.061432 162.315216 164.020813 165.548492 167.156006 168.693176 170.613068 172.467926 175.134827 178.440704 184.295715 191.494202 206.34053 379.21344 ------------------------------ Transdef: Tab for variable 10 0.0517990664 1.10479856 1.38899636 1.5851419 1.73566365 1.84005213 1.92795968 2.00250506 2.06821918 2.12171698 2.17293286 2.21963501 2.2730937 2.32173872 2.35739756 2.39106274 2.43139124 2.46113205 2.48740625 2.51413321 2.54361963 2.57025814 2.59464359 2.61502242 2.63804579 2.65936875 2.6787746 2.6985302 2.71184111 2.73018026 2.74828029 2.76544142 2.77845716 2.79073524 2.8029747 2.81394148 2.82612991 2.83745217 2.85118866 2.85966778 2.87131739 2.88123703 2.89095902 2.89991951 2.90858603 2.91676188 2.92420983 2.93322134 2.94145584 2.94879556 2.95685768 2.96285439 2.96864486 2.97565603 2.98216677 2.98775768 2.99341536 2.9988277 3.00407767 3.00902605 3.01373506 3.01803279 3.02342606 3.02800417 3.0324614 3.03691149 3.0409162 3.04500437 3.04900217 3.05305099 3.0568738 3.06100965 3.0649395 3.0680418 3.07123637 3.07447004 3.07686901 3.07969618 3.08224821 3.08484244 3.08772922 3.09072113 3.09378028 3.09633827 3.09927034 3.10191345 3.10433078 3.10728359 3.109972 3.11293101 3.11553335 3.11850691 3.12111664 3.1237278 3.12614679 3.12854457 3.13121367 3.13396788 3.13626814 3.13869715 3.14156795 ------------------------------ Transdef: Tab for variable 11 7.9870224E-06 0.00888180733 0.0185263157 0.0259439945 0.0337728858 0.0410158932 0.0486125946 0.0556366444 0.0623189211 0.0694013834 0.075678587 0.0819066167 0.0870084167 0.0933078527 0.0986046419 0.1052894 0.110822856 0.116737351 0.122486711 0.127512455 0.133820415 0.139495075 0.144845605 0.148830056 0.1552535 0.160878569 0.166095972 0.17253527 0.176979363 0.182361066 0.187284529 0.191962838 0.195814297 0.200290322 0.204369456 0.208139837 0.212677002 0.216079831 0.219985485 0.224245727 0.228493571 0.232454538 0.235974669 0.239193559 0.242700845 0.246329665 0.250442445 0.253809512 0.257184863 0.260802031 0.265011489 0.269245386 0.273375928 0.277445495 0.281318337 0.286523461 0.290575981 0.294983715 0.299462199 0.303910553 0.30818361 0.312457025 0.317148983 0.322675824 0.327835858 0.331919938 0.3375085 0.343349099 0.348103821 0.35256058 0.358895451 0.364324689 0.369272351 0.374086082 0.380082846 0.385479927 0.391999245 0.399711609 0.406413227 0.411763161 0.418612301 0.426192164 0.434039593 0.442228317 0.451286316 0.460062504 0.469935596 0.48062703 0.492450386 0.503739655 0.51487577 0.530325651 0.545759916 0.5636608 0.583540916 0.607770145 0.641863644 0.674237072 0.716891289 0.79229331 1.10088217 ------------------------------ Transdef: Tab for variable 12 0.200052962 0.205405593 0.209672928 0.215241015 0.221273899 0.226224512 0.231129825 0.236208662 0.241031468 0.245029211 0.249353886 0.253519803 0.258201838 0.262395084 0.26699096 0.271289945 0.275359899 0.279408216 0.283724606 0.288048774 0.291673124 0.296048284 0.300229281 0.304072797 0.307417959 0.311143786 0.314942062 0.319265753 0.322354674 0.32610935 0.329418778 0.33291924 0.33599627 0.340236902 0.344038725 0.347682446 0.350913107 0.354641825 0.358293951 0.361591697 0.365223229 0.369379699 0.372867048 0.375761151 0.379259706 0.383040726 0.38601321 0.389994711 0.393563598 0.39737913 0.400637031 0.404199243 0.407674164 0.411238909 0.415164351 0.419703186 0.423352301 0.426791161 0.430956036 0.435343444 0.4391433 0.443247139 0.447835684 0.452175915 0.457051814 0.461727679 0.466607511 0.471370161 0.475710154 0.480680168 0.486272603 0.491662264 0.496059299 0.501983643 0.508155346 0.513783276 0.519324899 0.525901735 0.532765269 0.539925098 0.547071338 0.553780556 0.560933113 0.568501651 0.576434553 0.585281968 0.595211446 0.604366779 0.613457561 0.625274479 0.634089708 0.647762895 0.662563562 0.677403808 0.696311593 0.714091897 0.741142333 0.77441442 0.81395793 0.885831952 1.11581552 ------------------------------ Transdef: Tab for variable 13 20.0516586 21.4535694 22.3148785 23.1428566 23.7736053 24.4353619 24.9427032 25.3098717 25.8267975 26.2154942 26.6565266 27.0870304 27.4616547 27.942318 28.3121223 28.7497749 29.1585617 29.5633812 29.9335613 30.3239517 30.6379128 30.9908867 31.3027229 31.6650162 32.0432205 32.3674431 32.6984787 33.0660477 33.4346428 33.7603111 34.1165237 34.4724007 34.8483353 35.2318497 35.5577431 35.864006 36.1374588 36.4597702 36.8700294 37.2754211 37.610096 37.9475174 38.2968063 38.5993042 38.9284134 39.2653809 39.6376648 39.996788 40.3510895 40.691185 41.0530472 41.4425163 41.732975 42.053318 42.3433304 42.683342 43.0740891 43.4431 43.8467178 44.1937027 44.6217499 45.0101547 45.4403534 45.8177567 46.2577591 46.7330894 47.2052917 47.6196213 48.0965271 48.5253448 48.9856339 49.4627762 49.9154739 50.4240417 50.941433 51.6085434 52.1870193 52.7613831 53.2883568 53.9032288 54.4677086 55.203804 55.9209251 56.7292099 57.6261368 58.4057465 59.4055328 60.193737 61.137085 62.1131744 63.2867966 64.378006 66.0704193 67.472702 68.9738007 71.141861 73.511673 76.9739227 82.7098999 92.6130447 201.326797 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.7838116 11.3522577 11.8184147 12.1966286 12.5136299 12.8859282 13.2532692 13.6510048 14.0894814 14.4286919 14.7711411 15.0704203 15.3876057 15.6975536 16.0006008 16.3847408 16.705555 17.0119934 17.2822762 17.6672001 18.008667 18.3384514 18.6937847 19.0349541 19.3514423 19.6671906 19.9861603 20.2899132 20.5591927 20.8479996 21.1172886 21.4591904 21.7384071 21.9903679 22.2415504 22.4928913 22.7589951 23.0543442 23.2917595 23.5531254 23.8227692 24.0789299 24.3445129 24.6271477 24.8931656 25.1230965 25.3688965 25.5632133 25.838026 26.1010017 26.3084812 26.5730324 26.8321609 27.1092415 27.3242664 27.6072769 27.8030357 28.0385056 28.3109589 28.6036682 28.8698196 29.1478195 29.3682251 29.6497879 29.9159565 30.1960297 30.4600372 30.7486305 31.0429878 31.3543663 31.749052 32.0460358 32.3256454 32.6730537 32.99086 33.2896309 33.5886841 33.9265251 34.2670059 34.60746 34.9680443 35.4521713 35.8413963 36.2445984 36.7358932 37.3626556 37.841877 38.5206604 39.1993103 39.8414803 40.5301666 41.2327957 42.114624 43.1116524 44.2802162 45.8668518 47.7633667 50.5770645 55.4592323 89.7258224 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 54.3 37.4 43.9 32.8 47.4 48.0 45.4 54.5 -14.7 -17.5 -28.7 34.1 40.1 2 54.3 100.0 65.4 56.5 36.6 70.7 94.5 72.7 89.5 -40.8 -26.6 -45.0 60.6 50.7 3 37.4 65.4 100.0 46.7 14.2 37.9 66.3 53.5 73.5 -6.3 -29.7 -53.0 92.3 40.8 4 43.9 56.5 46.7 100.0 15.0 34.7 56.3 46.0 62.7 -4.8 -31.3 -55.9 43.7 91.1 5 32.8 36.6 14.2 15.0 100.0 86.1 7.3 62.6 61.0 29.7 -7.8 -9.5 13.3 14.4 6 47.4 70.7 37.9 34.7 86.1 100.0 47.6 81.4 82.9 1.1 -16.9 -25.9 35.3 31.9 7 48.0 94.5 66.3 56.3 7.3 47.6 100.0 59.9 75.7 -52.3 -26.7 -46.0 61.5 50.4 8 45.4 72.7 53.5 46.0 62.6 81.4 59.9 100.0 83.5 0.3 -23.7 -38.2 49.6 41.8 9 54.5 89.5 73.5 62.7 61.0 82.9 75.7 83.5 100.0 -10.0 -29.2 -49.8 68.1 56.5 10 -14.7 -40.8 -6.3 -4.8 29.7 1.1 -52.3 0.3 -10.0 100.0 2.9 4.1 -5.2 -3.4 11 -17.5 -26.6 -29.7 -31.3 -7.8 -16.9 -26.7 -23.7 -29.2 2.9 100.0 55.3 -26.1 -29.6 12 -28.7 -45.0 -53.0 -55.9 -9.5 -25.9 -46.0 -38.2 -49.8 4.1 55.3 100.0 -49.0 -48.5 13 34.1 60.6 92.3 43.7 13.3 35.3 61.5 49.6 68.1 -5.2 -26.1 -49.0 100.0 46.9 14 40.1 50.7 40.8 91.1 14.4 31.9 50.4 41.8 56.5 -3.4 -29.6 -48.5 46.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 145.097229 TOTAL CORRELATION OF ALL VARIABLES 59.8211362 ROUND 1: MAX CORR ( 59.8210295) AFTER KILLING INPUT VARIABLE 8 CONTR 0.112996182 ROUND 2: MAX CORR ( 59.8209176) AFTER KILLING INPUT VARIABLE 11 CONTR 0.115729719 ROUND 3: MAX CORR ( 59.8113146) AFTER KILLING INPUT VARIABLE 7 CONTR 1.07183407 ROUND 4: MAX CORR ( 59.7912112) AFTER KILLING INPUT VARIABLE 12 CONTR 1.55061703 ROUND 5: MAX CORR ( 59.7612892) AFTER KILLING INPUT VARIABLE 14 CONTR 1.89136032 ROUND 6: MAX CORR ( 59.7451613) AFTER KILLING INPUT VARIABLE 13 CONTR 1.38830759 ROUND 7: MAX CORR ( 59.7056392) AFTER KILLING INPUT VARIABLE 6 CONTR 2.17277407 ROUND 8: MAX CORR ( 59.4427147) AFTER KILLING INPUT VARIABLE 10 CONTR 5.59705438 ROUND 9: MAX CORR ( 58.7863023) AFTER KILLING INPUT VARIABLE 3 CONTR 8.80948279 ROUND 10: MAX CORR ( 58.6129264) AFTER KILLING INPUT VARIABLE 9 CONTR 4.51156269 ROUND 11: MAX CORR ( 56.624932) AFTER KILLING INPUT VARIABLE 5 CONTR 15.1357928 ROUND 12: MAX CORR ( 54.3417607) AFTER KILLING INPUT VARIABLE 4 CONTR 15.9171595 LAST REMAINING VARIABLE: 2 total correlation to target: 59.8211362 % total significance: 55.15462 sigma correlations of single variables to target: variable 2: 54.3417607 % , in sigma: 50.1026786 variable 3: 37.4017023 % , in sigma: 34.4840772 variable 4: 43.8565437 % , in sigma: 40.4353905 variable 5: 32.8336331 % , in sigma: 30.2723531 variable 6: 47.3588312 % , in sigma: 43.6644722 variable 7: 48.0145035 % , in sigma: 44.2689969 variable 8: 45.4215502 % , in sigma: 41.8783142 variable 9: 54.4717071 % , in sigma: 50.2224882 variable 10: -14.7097369 % , in sigma: 13.5622624 variable 11: -17.544333 % , in sigma: 16.1757379 variable 12: -28.6934724 % , in sigma: 26.4551573 variable 13: 34.1409957 % , in sigma: 31.4777312 variable 14: 40.1024856 % , in sigma: 36.9741782 variables sorted by significance: 1 most relevant variable 2 corr 54.3417625 , in sigma: 50.1026803 2 most relevant variable 4 corr 15.9171591 , in sigma: 14.6754963 3 most relevant variable 5 corr 15.1357927 , in sigma: 13.9550826 4 most relevant variable 9 corr 4.51156282 , in sigma: 4.15962566 5 most relevant variable 3 corr 8.80948257 , in sigma: 8.12227408 6 most relevant variable 10 corr 5.59705448 , in sigma: 5.16044048 7 most relevant variable 6 corr 2.17277408 , in sigma: 2.00328072 8 most relevant variable 13 corr 1.38830757 , in sigma: 1.28000873 9 most relevant variable 14 corr 1.89136028 , in sigma: 1.7438194 10 most relevant variable 12 corr 1.55061698 , in sigma: 1.42965674 11 most relevant variable 7 corr 1.07183409 , in sigma: 0.988222651 12 most relevant variable 11 corr 0.115729719 , in sigma: 0.106701897 13 most relevant variable 8 corr 0.112996183 , in sigma: 0.104181598 global correlations between input variables: variable 2: 99.4421925 % variable 3: 96.3413154 % variable 4: 95.1128906 % variable 5: 96.2960404 % variable 6: 96.4436821 % variable 7: 99.1607725 % variable 8: 89.0190457 % variable 9: 98.7313898 % variable 10: 75.6181047 % variable 11: 56.2136383 % variable 12: 73.0214094 % variable 13: 94.7815864 % variable 14: 94.0406343 % significance loss when removing single variables: variable 2: corr = 4.28290982 % , sigma = 3.94880938 variable 3: corr = 7.74969134 % , sigma = 7.14515484 variable 4: corr = 8.51625933 % , sigma = 7.85192454 variable 5: corr = 10.2948836 % , sigma = 9.49180222 variable 6: corr = 2.00343642 % , sigma = 1.84715272 variable 7: corr = 0.945321092 % , sigma = 0.871578657 variable 8: corr = 0.112996182 % , sigma = 0.104181596 variable 9: corr = 8.54915515 % , sigma = 7.88225422 variable 10: corr = 5.40897988 % , sigma = 4.98703717 variable 11: corr = 0.114021544 % , sigma = 0.105126972 variable 12: corr = 1.47083305 % , sigma = 1.35609657 variable 13: corr = 2.1402836 % , sigma = 1.97332475 variable 14: corr = 1.74643956 % , sigma = 1.61020362 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 6 --> 11.3747206 sigma out 15 active outputs RANK 2 NODE 3 --> 11.0654802 sigma out 15 active outputs RANK 3 NODE 1 --> 8.71052551 sigma out 15 active outputs RANK 4 NODE 2 --> 8.64380074 sigma out 15 active outputs RANK 5 NODE 5 --> 7.42965794 sigma out 15 active outputs RANK 6 NODE 7 --> 7.40107584 sigma out 15 active outputs RANK 7 NODE 4 --> 4.59745407 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 12.7990856 sigma in 7act. ( 13.5892019 sig out 1act.) RANK 2 NODE 2 --> 10.0286312 sigma in 7act. ( 10.6108599 sig out 1act.) RANK 3 NODE 13 --> 8.9156847 sigma in 7act. ( 9.72737598 sig out 1act.) RANK 4 NODE 12 --> 6.57702923 sigma in 7act. ( 7.28193474 sig out 1act.) RANK 5 NODE 11 --> 6.33124447 sigma in 7act. ( 6.60376644 sig out 1act.) RANK 6 NODE 3 --> 5.84044695 sigma in 7act. ( 6.72488546 sig out 1act.) RANK 7 NODE 10 --> 5.08606243 sigma in 7act. ( 5.87863588 sig out 1act.) RANK 8 NODE 14 --> 3.80620742 sigma in 7act. ( 4.11519003 sig out 1act.) RANK 9 NODE 8 --> 3.41515112 sigma in 7act. ( 3.5800972 sig out 1act.) RANK 10 NODE 15 --> 2.61265874 sigma in 7act. ( 2.43789244 sig out 1act.) RANK 11 NODE 6 --> 2.38706923 sigma in 7act. ( 2.30481195 sig out 1act.) RANK 12 NODE 4 --> 1.76154637 sigma in 7act. ( 0.944197476 sig out 1act.) RANK 13 NODE 1 --> 1.69568801 sigma in 7act. ( 1.24035192 sig out 1act.) RANK 14 NODE 7 --> 1.10524499 sigma in 7act. ( 0.78131336 sig out 1act.) RANK 15 NODE 9 --> 0.674663484 sigma in 7act. ( 0.541498661 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 13.5892019 sigma out 1act.( 12.7990856 sig in 7act.) RANK 2 NODE 2 --> 10.6108599 sigma out 1act.( 10.0286312 sig in 7act.) RANK 3 NODE 13 --> 9.72737598 sigma out 1act.( 8.9156847 sig in 7act.) RANK 4 NODE 12 --> 7.28193474 sigma out 1act.( 6.57702923 sig in 7act.) RANK 5 NODE 3 --> 6.72488546 sigma out 1act.( 5.84044695 sig in 7act.) RANK 6 NODE 11 --> 6.60376644 sigma out 1act.( 6.33124447 sig in 7act.) RANK 7 NODE 10 --> 5.87863588 sigma out 1act.( 5.08606243 sig in 7act.) RANK 8 NODE 14 --> 4.11519003 sigma out 1act.( 3.80620742 sig in 7act.) RANK 9 NODE 8 --> 3.5800972 sigma out 1act.( 3.41515112 sig in 7act.) RANK 10 NODE 15 --> 2.43789244 sigma out 1act.( 2.61265874 sig in 7act.) RANK 11 NODE 6 --> 2.30481195 sigma out 1act.( 2.38706923 sig in 7act.) RANK 12 NODE 1 --> 1.24035192 sigma out 1act.( 1.69568801 sig in 7act.) RANK 13 NODE 4 --> 0.944197476 sigma out 1act.( 1.76154637 sig in 7act.) RANK 14 NODE 7 --> 0.78131336 sigma out 1act.( 1.10524499 sig in 7act.) RANK 15 NODE 9 --> 0.541498661 sigma out 1act.( 0.674663484 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 24.7515335 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 16.3445396 sigma out 15 active outputs RANK 2 NODE 6 --> 13.0723495 sigma out 15 active outputs RANK 3 NODE 3 --> 12.3472452 sigma out 15 active outputs RANK 4 NODE 1 --> 10.2704391 sigma out 15 active outputs RANK 5 NODE 2 --> 9.82134151 sigma out 15 active outputs RANK 6 NODE 7 --> 8.25855923 sigma out 15 active outputs RANK 7 NODE 4 --> 6.52558804 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 12.8001623 sigma in 7act. ( 13.2429447 sig out 1act.) RANK 2 NODE 13 --> 10.2307997 sigma in 7act. ( 9.48871422 sig out 1act.) RANK 3 NODE 2 --> 9.58735752 sigma in 7act. ( 9.33024025 sig out 1act.) RANK 4 NODE 12 --> 8.07499409 sigma in 7act. ( 8.21358109 sig out 1act.) RANK 5 NODE 11 --> 7.67159081 sigma in 7act. ( 6.0011816 sig out 1act.) RANK 6 NODE 3 --> 7.63237238 sigma in 7act. ( 6.57639503 sig out 1act.) RANK 7 NODE 10 --> 7.33365965 sigma in 7act. ( 7.09322357 sig out 1act.) RANK 8 NODE 6 --> 7.21311855 sigma in 7act. ( 3.66576409 sig out 1act.) RANK 9 NODE 7 --> 7.05031729 sigma in 7act. ( 2.75907159 sig out 1act.) RANK 10 NODE 1 --> 6.57458687 sigma in 7act. ( 2.47583699 sig out 1act.) RANK 11 NODE 8 --> 6.4713273 sigma in 7act. ( 3.84429502 sig out 1act.) RANK 12 NODE 4 --> 5.81140232 sigma in 7act. ( 1.61431623 sig out 1act.) RANK 13 NODE 14 --> 5.77968597 sigma in 7act. ( 4.93814993 sig out 1act.) RANK 14 NODE 15 --> 5.46158791 sigma in 7act. ( 2.38315725 sig out 1act.) RANK 15 NODE 9 --> 4.77930164 sigma in 7act. ( 1.37550998 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 13.2429447 sigma out 1act.( 12.8001623 sig in 7act.) RANK 2 NODE 13 --> 9.48871422 sigma out 1act.( 10.2307997 sig in 7act.) RANK 3 NODE 2 --> 9.33024025 sigma out 1act.( 9.58735752 sig in 7act.) RANK 4 NODE 12 --> 8.21358109 sigma out 1act.( 8.07499409 sig in 7act.) RANK 5 NODE 10 --> 7.09322357 sigma out 1act.( 7.33365965 sig in 7act.) RANK 6 NODE 3 --> 6.57639503 sigma out 1act.( 7.63237238 sig in 7act.) RANK 7 NODE 11 --> 6.0011816 sigma out 1act.( 7.67159081 sig in 7act.) RANK 8 NODE 14 --> 4.93814993 sigma out 1act.( 5.77968597 sig in 7act.) RANK 9 NODE 8 --> 3.84429502 sigma out 1act.( 6.4713273 sig in 7act.) RANK 10 NODE 6 --> 3.66576409 sigma out 1act.( 7.21311855 sig in 7act.) RANK 11 NODE 7 --> 2.75907159 sigma out 1act.( 7.05031729 sig in 7act.) RANK 12 NODE 1 --> 2.47583699 sigma out 1act.( 6.57458687 sig in 7act.) RANK 13 NODE 15 --> 2.38315725 sigma out 1act.( 5.46158791 sig in 7act.) RANK 14 NODE 4 --> 1.61431623 sigma out 1act.( 5.81140232 sig in 7act.) RANK 15 NODE 9 --> 1.37550998 sigma out 1act.( 4.77930164 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 25.0205135 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.420031965 *** contribution from regularisation: 0.0119033298 *** contribution from error: -0.431935281 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.467707664 *** contribution from regularisation: 0.00578793045 *** contribution from error: -0.473495603 *********************************************** -----------------> Test sample ENTER BFGS code START -9599.41336 0.440916657 0.0201001931 EXIT FROM BFGS code FG_START 0. 0.440916657 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.479876995 *** contribution from regularisation: 0.0052679712 *** contribution from error: -0.485144973 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -9847.07578 0.440916657 -59.5506897 EXIT FROM BFGS code FG_LNSRCH 0. 0.380779743 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.484076589 *** contribution from regularisation: 0.00779505866 *** contribution from error: -0.491871655 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9933.25161 0.380779743 21.8493614 EXIT FROM BFGS code NEW_X -9933.25161 0.380779743 21.8493614 ENTER BFGS code NEW_X -9933.25161 0.380779743 21.8493614 EXIT FROM BFGS code FG_LNSRCH 0. 0.397171825 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.49437362 *** contribution from regularisation: 0.00708543789 *** contribution from error: -0.501459062 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10144.5466 0.397171825 -1.79020572 EXIT FROM BFGS code NEW_X -10144.5466 0.397171825 -1.79020572 ENTER BFGS code NEW_X -10144.5466 0.397171825 -1.79020572 EXIT FROM BFGS code FG_LNSRCH 0. 0.395803362 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.494991452 *** contribution from regularisation: 0.00699877134 *** contribution from error: -0.501990199 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10157.2248 0.395803362 -7.56374836 EXIT FROM BFGS code NEW_X -10157.2248 0.395803362 -7.56374836 ENTER BFGS code NEW_X -10157.2248 0.395803362 -7.56374836 EXIT FROM BFGS code FG_LNSRCH 0. 0.386700243 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.49518916 *** contribution from regularisation: 0.00706241746 *** contribution from error: -0.502251565 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10161.2817 0.386700243 -10.0253153 EXIT FROM BFGS code NEW_X -10161.2817 0.386700243 -10.0253153 ENTER BFGS code NEW_X -10161.2817 0.386700243 -10.0253153 EXIT FROM BFGS code FG_LNSRCH 0. 0.365652382 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.495684028 *** contribution from regularisation: 0.00683123851 *** contribution from error: -0.502515256 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10171.4363 0.365652382 -10.0915003 EXIT FROM BFGS code NEW_X -10171.4363 0.365652382 -10.0915003 ENTER BFGS code NEW_X -10171.4363 0.365652382 -10.0915003 EXIT FROM BFGS code FG_LNSRCH 0. 0.30048278 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.496422529 *** contribution from regularisation: 0.00612791721 *** contribution from error: -0.502550423 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10186.5902 0.30048278 -9.55631828 EXIT FROM BFGS code NEW_X -10186.5902 0.30048278 -9.55631828 ENTER BFGS code NEW_X -10186.5902 0.30048278 -9.55631828 EXIT FROM BFGS code FG_LNSRCH 0. 0.141574621 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 15.5235062 sigma out 15 active outputs RANK 2 NODE 1 --> 11.0448513 sigma out 15 active outputs RANK 3 NODE 3 --> 8.76533127 sigma out 15 active outputs RANK 4 NODE 4 --> 5.16681623 sigma out 15 active outputs RANK 5 NODE 6 --> 4.3083992 sigma out 15 active outputs RANK 6 NODE 2 --> 3.68554616 sigma out 15 active outputs RANK 7 NODE 7 --> 3.60143304 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 10.2981882 sigma in 7act. ( 9.35414314 sig out 1act.) RANK 2 NODE 7 --> 8.04111195 sigma in 7act. ( 6.79338884 sig out 1act.) RANK 3 NODE 4 --> 7.69552898 sigma in 7act. ( 6.19823647 sig out 1act.) RANK 4 NODE 6 --> 7.11734819 sigma in 7act. ( 5.88097191 sig out 1act.) RANK 5 NODE 9 --> 7.06453705 sigma in 7act. ( 6.22280979 sig out 1act.) RANK 6 NODE 14 --> 6.34077501 sigma in 7act. ( 5.29395962 sig out 1act.) RANK 7 NODE 12 --> 5.36455488 sigma in 7act. ( 4.46440268 sig out 1act.) RANK 8 NODE 11 --> 4.89694309 sigma in 7act. ( 4.13535309 sig out 1act.) RANK 9 NODE 13 --> 4.40987253 sigma in 7act. ( 3.49367118 sig out 1act.) RANK 10 NODE 10 --> 4.13957119 sigma in 7act. ( 3.34261727 sig out 1act.) RANK 11 NODE 8 --> 3.84642625 sigma in 7act. ( 2.61031485 sig out 1act.) RANK 12 NODE 5 --> 3.31872272 sigma in 7act. ( 1.90984499 sig out 1act.) RANK 13 NODE 2 --> 3.31219554 sigma in 7act. ( 2.75117397 sig out 1act.) RANK 14 NODE 15 --> 2.9514432 sigma in 7act. ( 2.05243063 sig out 1act.) RANK 15 NODE 3 --> 2.46488166 sigma in 7act. ( 0.583004057 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 9.35414314 sigma out 1act.( 10.2981882 sig in 7act.) RANK 2 NODE 7 --> 6.79338884 sigma out 1act.( 8.04111195 sig in 7act.) RANK 3 NODE 9 --> 6.22280979 sigma out 1act.( 7.06453705 sig in 7act.) RANK 4 NODE 4 --> 6.19823647 sigma out 1act.( 7.69552898 sig in 7act.) RANK 5 NODE 6 --> 5.88097191 sigma out 1act.( 7.11734819 sig in 7act.) RANK 6 NODE 14 --> 5.29395962 sigma out 1act.( 6.34077501 sig in 7act.) RANK 7 NODE 12 --> 4.46440268 sigma out 1act.( 5.36455488 sig in 7act.) RANK 8 NODE 11 --> 4.13535309 sigma out 1act.( 4.89694309 sig in 7act.) RANK 9 NODE 13 --> 3.49367118 sigma out 1act.( 4.40987253 sig in 7act.) RANK 10 NODE 10 --> 3.34261727 sigma out 1act.( 4.13957119 sig in 7act.) RANK 11 NODE 2 --> 2.75117397 sigma out 1act.( 3.31219554 sig in 7act.) RANK 12 NODE 8 --> 2.61031485 sigma out 1act.( 3.84642625 sig in 7act.) RANK 13 NODE 15 --> 2.05243063 sigma out 1act.( 2.9514432 sig in 7act.) RANK 14 NODE 5 --> 1.90984499 sigma out 1act.( 3.31872272 sig in 7act.) RANK 15 NODE 3 --> 0.583004057 sigma out 1act.( 2.46488166 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 18.8784771 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.496890247 *** contribution from regularisation: 0.00544339838 *** contribution from error: -0.502333641 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -10196.1877 0.141574621 -1.92702985 EXIT FROM BFGS code NEW_X -10196.1877 0.141574621 -1.92702985 ENTER BFGS code NEW_X -10196.1877 0.141574621 -1.92702985 EXIT FROM BFGS code FG_LNSRCH 0. -0.130931929 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.490273416 *** contribution from regularisation: 0.00587659376 *** contribution from error: -0.496150017 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10060.4107 -0.130931929 -14.8524008 EXIT FROM BFGS code FG_LNSRCH 0. 0.0732299238 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.494928002 *** contribution from regularisation: 0.00752469804 *** contribution from error: -0.502452672 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10155.9225 0.0732299238 -4.56613016 EXIT FROM BFGS code FG_LNSRCH 0. 0.1361029 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.49580723 *** contribution from regularisation: 0.00654109195 *** contribution from error: -0.502348304 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10173.9644 0.1361029 -1.87504387 EXIT FROM BFGS code FG_LNSRCH 0. 0.141489074 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.495848984 *** contribution from regularisation: 0.006484841 *** contribution from error: -0.50233382 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10174.8213 0.141489074 -1.46196115 EXIT FROM BFGS code FG_LNSRCH 0. 0.141574591 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.495760292 *** contribution from regularisation: 0.00657333108 *** contribution from error: -0.502333641 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10173.0014 0.141574591 -1.52178681 EXIT FROM BFGS code FG_LNSRCH 0. 0.141574621 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.495862842 *** contribution from regularisation: 0.0064708055 *** contribution from error: -0.502333641 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10175.1053 0.141574621 -1.51581252 EXIT FROM BFGS code FG_LNSRCH 0. 0.141574621 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.495831162 *** contribution from regularisation: 0.00650247186 *** contribution from error: -0.502333641 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10174.4555 0.141574621 -1.54841101 EXIT FROM BFGS code FG_LNSRCH 0. 0.141574621 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.495732903 *** contribution from regularisation: 0.00660073198 *** contribution from error: -0.502333641 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10172.4392 0.141574621 -1.51782548 EXIT FROM BFGS code NEW_X -10172.4392 0.141574621 -1.51782548 ENTER BFGS code NEW_X -10172.4392 0.141574621 -1.51782548 EXIT FROM BFGS code CONVERGENC -10172.4392 0.141574621 -1.51782548 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 22.2398396 sigma out 15 active outputs RANK 2 NODE 1 --> 16.9149284 sigma out 15 active outputs RANK 3 NODE 3 --> 12.8378906 sigma out 15 active outputs RANK 4 NODE 4 --> 7.47510862 sigma out 15 active outputs RANK 5 NODE 6 --> 6.20189857 sigma out 15 active outputs RANK 6 NODE 7 --> 5.41482782 sigma out 15 active outputs RANK 7 NODE 2 --> 5.3394537 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 15.5908155 sigma in 7act. ( 13.5838871 sig out 1act.) RANK 2 NODE 7 --> 12.0055933 sigma in 7act. ( 9.6437645 sig out 1act.) RANK 3 NODE 4 --> 11.5118456 sigma in 7act. ( 8.74745941 sig out 1act.) RANK 4 NODE 9 --> 10.5470085 sigma in 7act. ( 8.68394947 sig out 1act.) RANK 5 NODE 6 --> 10.5274935 sigma in 7act. ( 8.45299721 sig out 1act.) RANK 6 NODE 14 --> 9.29314327 sigma in 7act. ( 7.21009016 sig out 1act.) RANK 7 NODE 12 --> 7.79181147 sigma in 7act. ( 6.25615644 sig out 1act.) RANK 8 NODE 11 --> 7.06944418 sigma in 7act. ( 5.84069204 sig out 1act.) RANK 9 NODE 13 --> 5.94000196 sigma in 7act. ( 5.09747839 sig out 1act.) RANK 10 NODE 10 --> 5.74441671 sigma in 7act. ( 4.61653042 sig out 1act.) RANK 11 NODE 8 --> 5.13751364 sigma in 7act. ( 3.71391153 sig out 1act.) RANK 12 NODE 2 --> 4.60110569 sigma in 7act. ( 3.83668232 sig out 1act.) RANK 13 NODE 5 --> 4.41429281 sigma in 7act. ( 2.66419148 sig out 1act.) RANK 14 NODE 15 --> 3.83243132 sigma in 7act. ( 2.89539361 sig out 1act.) RANK 15 NODE 3 --> 2.97290802 sigma in 7act. ( 0.827329457 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 13.5838871 sigma out 1act.( 15.5908155 sig in 7act.) RANK 2 NODE 7 --> 9.6437645 sigma out 1act.( 12.0055933 sig in 7act.) RANK 3 NODE 4 --> 8.74745941 sigma out 1act.( 11.5118456 sig in 7act.) RANK 4 NODE 9 --> 8.68394947 sigma out 1act.( 10.5470085 sig in 7act.) RANK 5 NODE 6 --> 8.45299721 sigma out 1act.( 10.5274935 sig in 7act.) RANK 6 NODE 14 --> 7.21009016 sigma out 1act.( 9.29314327 sig in 7act.) RANK 7 NODE 12 --> 6.25615644 sigma out 1act.( 7.79181147 sig in 7act.) RANK 8 NODE 11 --> 5.84069204 sigma out 1act.( 7.06944418 sig in 7act.) RANK 9 NODE 13 --> 5.09747839 sigma out 1act.( 5.94000196 sig in 7act.) RANK 10 NODE 10 --> 4.61653042 sigma out 1act.( 5.74441671 sig in 7act.) RANK 11 NODE 2 --> 3.83668232 sigma out 1act.( 4.60110569 sig in 7act.) RANK 12 NODE 8 --> 3.71391153 sigma out 1act.( 5.13751364 sig in 7act.) RANK 13 NODE 15 --> 2.89539361 sigma out 1act.( 3.83243132 sig in 7act.) RANK 14 NODE 5 --> 2.66419148 sigma out 1act.( 4.41429281 sig in 7act.) RANK 15 NODE 3 --> 0.827329457 sigma out 1act.( 2.97290802 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.7977734 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.495844334 *** contribution from regularisation: 0.0064893025 *** contribution from error: -0.502333641 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done