NNInput NNInputs_145.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 Error in : error reading all requested bytes from file TMVAAna_out.root, got 228 of 300 Warning in : file TMVAAna_out.root has no keys Error in : Cannot find tree with name NNInput in file TMVAAna_out.root NNAna::CopyTree: entries= 187577 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 = 47777 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 47777 Chosen entries: 47777 Signal fraction: 1 Background fraction: 0.341752 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 47777 Entries to split: 47777 Test with : 23888 Train with : 23888 ********************************************* * 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= 47777 for Signal Prepared event 0 for Signal with 47777 events ====Entry 0 Variable Ht : 172.917 Variable LepAPt : 28.3138 Variable LepBPt : 20.098 Variable MetSigLeptonsJets : 7.843 Variable MetSpec : 76.8658 Variable SumEtLeptonsJets : 96.051 Variable VSumJetLeptonsPt : 77.1984 Variable addEt : 125.278 Variable dPhiLepSumMet : 2.50109 Variable dPhiLeptons : 0.378813 Variable dRLeptons : 0.471432 Variable lep1_E : 39.4547 Variable lep2_E : 23.5705 ===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 = 2145 Ht = 172.917 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 28.314 LepAPt = 28.3138 LepBEt = 20.098 LepBPt = 20.098 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 76.8658 MetDelPhi = 2.27916 MetSig = 5.37355 MetSigLeptonsJets = 7.843 MetSpec = 76.8658 Mjj = 0 MostCentralJetEta = 1.79326 MtllMet = 134.112 Njets = 1 SB = 0 SumEt = 204.618 SumEtJets = 0 SumEtLeptonsJets = 96.051 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 77.1984 addEt = 125.278 dPhiLepSumMet = 2.50109 dPhiLeptons = 0.378813 dRLeptons = 0.471432 diltype = 49 dimass = 11.2172 event = 188 jet1_Et = 47.6392 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 39.4547 lep2_E = 23.5705 rand = 0.999742 run = 236503 weight = 3.13807e-06 ===Show End Prepared event 10000 for Signal with 47777 events Prepared event 20000 for Signal with 47777 events Prepared event 30000 for Signal with 47777 events Prepared event 40000 for Signal with 47777 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= 139800 for Background Prepared event 0 for Background with 139800 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 = 0.270553 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 = 0.00331651 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4369 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 187577 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 4369 negative weights. Signal fraction: 63.3863678 % ------------------------------ 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 60.0019798 63.5684814 65.5583878 67.2537994 68.3223038 69.2858429 70.185585 70.9570312 71.8049164 72.7240143 73.4055939 74.0648804 74.752655 75.3530884 75.8381348 76.6064606 77.1443787 77.8080444 78.3902359 79.0557251 79.559845 80.2477798 80.9724731 81.5722351 82.2719116 82.9205093 83.827301 84.6680298 85.5791473 86.6990356 87.8744431 89.0050812 90.0520935 91.2271805 92.7045135 93.6643143 94.8920288 96.2569809 97.6413422 98.853157 100.235199 101.633385 102.907402 104.409058 105.671478 106.814316 108.128891 109.464813 110.773567 112.086395 113.390701 114.696854 116.157974 117.353851 118.657623 120.009201 121.30423 122.478836 123.801163 124.980377 126.243675 127.46769 128.692688 129.928986 131.204773 132.440735 133.684418 134.925537 136.185364 137.600128 138.943695 140.323364 141.754807 143.340912 144.907532 146.811737 148.469543 150.479279 152.704758 154.915436 157.154938 159.743362 162.095932 164.575714 167.132843 169.928238 173.04538 176.364899 179.571136 183.132233 187.599838 192.097382 197.134415 203.610565 210.780243 218.649811 229.646667 243.731689 262.963013 295.907623 820.901062 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3242836 20.6417389 20.910965 21.2055702 21.449192 21.6771774 21.8937531 22.0938377 22.3085308 22.518961 22.7302971 22.9180298 23.1007767 23.3034325 23.4937859 23.6698799 23.8594437 24.058773 24.2603607 24.4525375 24.637043 24.8364677 25.0553131 25.2181683 25.3836441 25.5672989 25.7586422 25.9495544 26.1563625 26.3195 26.5450859 26.7565842 26.981596 27.1858864 27.4080563 27.6375427 27.8427238 28.0496712 28.2324867 28.4710617 28.6925697 28.8711967 29.1010017 29.2871971 29.5254059 29.756588 29.9980698 30.2388802 30.5029907 30.7389145 31.0255623 31.2747307 31.5041084 31.7497559 31.9638729 32.1857986 32.4621925 32.7313156 33.0025864 33.2458839 33.5421295 33.813797 34.1109009 34.4245758 34.7545853 35.0703964 35.360321 35.6464729 35.967041 36.2904358 36.6120186 36.9174957 37.2833023 37.6610527 38.05299 38.440094 38.863945 39.2936707 39.7422218 40.1973648 40.7097778 41.1925125 41.7004089 42.2117653 42.8151283 43.3629684 44.000412 44.6890717 45.5100174 46.2934799 47.2569733 48.3781738 49.5923157 50.8320694 52.526474 54.7299881 57.5684128 61.2471237 70.0027313 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.128912 10.2596836 10.3761635 10.4742117 10.6313629 10.7608356 10.8854551 10.9785042 11.0911713 11.2311611 11.3670635 11.502511 11.6367369 11.7652197 11.9183922 12.0735493 12.2300272 12.3701906 12.5172968 12.6784382 12.8328075 12.957633 13.1208248 13.2687893 13.4643717 13.6230373 13.7757683 13.9173698 14.0601616 14.2129889 14.349309 14.5421371 14.746994 14.9232244 15.0943146 15.2939892 15.4730453 15.6547623 15.841032 15.9886284 16.1923199 16.3749027 16.5965786 16.7906036 16.9979782 17.2338715 17.443676 17.6990986 17.9037094 18.141777 18.3648491 18.5770721 18.7910366 19.0164986 19.2558022 19.5053101 19.751236 19.9891682 20.1924381 20.3846893 20.595293 20.832592 21.0928116 21.3217049 21.5576038 21.777586 22.0118923 22.2812843 22.5239029 22.7697926 23.0557308 23.339323 23.6225681 23.9206562 24.2192268 24.5247536 24.8655396 25.167429 25.5033035 25.82304 26.1907024 26.5384865 26.8801765 27.2735577 27.6534157 28.0260601 28.4374828 28.87817 29.3592377 29.8162155 30.3495331 30.9568233 31.5906296 32.275528 33.1178627 34.2759552 35.744072 38.0418243 42.1987419 69.9040909 ------------------------------ Transdef: Tab for variable 5 1.19692361 2.5670979 2.99424791 3.28450823 3.53549314 3.74009514 3.95249057 4.09378433 4.2233696 4.33099747 4.43780804 4.54523945 4.63505077 4.72286701 4.815485 4.89203167 4.96545744 5.04206944 5.10790348 5.16151237 5.22221565 5.28923368 5.34832382 5.39341164 5.44309044 5.48909473 5.52445793 5.56774473 5.61491203 5.66109848 5.69939804 5.74996567 5.79384089 5.83960152 5.88895798 5.93204212 5.9712162 6.01897144 6.06323051 6.10087109 6.13828087 6.18327999 6.22073269 6.26252604 6.29812956 6.33560753 6.37770271 6.42232943 6.46684074 6.50708151 6.54857635 6.59547424 6.63884783 6.67892265 6.72378874 6.76724052 6.8125391 6.85109091 6.88724518 6.92906427 6.97867393 7.02596807 7.07063484 7.11848831 7.16272163 7.2031002 7.24477768 7.29102707 7.3397398 7.39212704 7.43391991 7.49138832 7.54620409 7.60295773 7.65824032 7.71925068 7.77722216 7.83103371 7.88261318 7.937356 7.99673033 8.05926895 8.12002087 8.18518639 8.24726105 8.31692314 8.38648796 8.46124649 8.53907204 8.62067699 8.71241665 8.81811523 8.93041325 9.05545235 9.20204544 9.36733055 9.56591797 9.85698414 10.2884827 11.0263939 22.6250648 ------------------------------ Transdef: Tab for variable 6 15.0146933 20.4926033 25.1211128 26.2085838 27.1822491 28.0411491 28.9356136 29.7347107 30.4924812 31.0340881 31.6411228 32.1820374 32.6763077 33.1114426 33.4993935 33.9711075 34.4725533 34.7844162 35.0881348 35.535408 35.9000664 36.2554016 36.5382462 36.8999557 37.2656784 37.5719528 37.9158173 38.257534 38.5998497 38.9638519 39.3417053 39.6495514 40.0320511 40.3913765 40.7299614 41.1382179 41.5133209 41.9655304 42.3707733 42.748455 43.1154327 43.5750885 43.964283 44.4133072 44.8670998 45.4419708 45.9831619 46.5323448 47.0888519 47.557869 48.1370811 48.7330093 49.3189087 49.8180237 50.3334198 50.9050217 51.4848633 52.1732788 52.8314896 53.3981361 53.9924469 54.6254539 55.2918777 55.9316559 56.554924 57.1128159 57.7286453 58.3157806 58.975769 59.6613541 60.3041611 60.9686432 61.6230545 62.2631302 62.8698502 63.5377197 64.1885223 64.8437805 65.5993195 66.3440857 67.1372986 67.8299332 68.5652924 69.4076385 70.1718521 71.0255585 72.0086517 72.9684753 74.1348114 75.3528137 76.6417313 78.153717 79.9907379 81.8363037 84.3009949 86.9951019 90.6081009 95.4580002 102.738235 114.711029 259.076752 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.7375488 33.7307434 34.4356155 35.1136169 35.5805588 35.9295349 36.2987366 36.693924 37.0214424 37.3618088 37.705307 38.0394859 38.3461075 38.647522 38.8811569 39.1714439 39.430748 39.6721344 40.0784836 40.392128 40.7239342 41.0261841 41.3268738 41.6641312 42.0570068 42.4729614 42.9049072 43.4602661 44.0666733 44.6018105 45.2198219 45.7995148 46.5520401 47.2338715 47.9677734 48.6955566 49.3918419 50.1325455 50.994442 51.8763962 52.6585388 53.4125214 54.1863174 55.1159172 55.8808556 56.5488434 57.2584991 58.0161667 58.8732719 59.5517426 60.2606888 61.0334854 61.6639786 62.3549805 63.084137 63.807106 64.62323 65.3952713 66.2473755 66.9665146 67.7307434 68.5640411 69.4796448 70.3962173 71.3391724 72.2734375 73.4347458 74.673584 75.8610458 77.1830444 78.58078 79.980629 81.5383682 82.9264069 84.4831161 86.1880569 87.9118958 89.5614243 91.305603 93.2042389 95.0177002 96.8108978 98.9933701 101.507965 103.788284 105.992805 108.739014 111.456116 114.745926 118.403305 122.486603 127.001083 131.700226 137.716553 144.017654 152.3909 164.060211 180.096527 207.326843 467.62793 ------------------------------ Transdef: Tab for variable 8 2.62431407 23.2959023 28.3113499 30.1800804 31.3836021 32.2220535 32.949295 33.4712105 33.9092255 34.3735809 34.7903366 35.1159973 35.4439316 35.7583694 36.06707 36.3497429 36.6152573 36.9133759 37.198761 37.4760437 37.7814636 38.0252876 38.218441 38.4897232 38.7086449 38.9632568 39.2451973 39.501709 39.7757568 40.0972595 40.3614883 40.6847038 40.9368439 41.2806244 41.5990067 41.9403954 42.3241272 42.7052231 43.1203117 43.4942627 43.9310379 44.3959656 44.8390579 45.3416214 45.8401031 46.3605347 46.8061676 47.4038849 47.9665451 48.487114 48.9512939 49.4281006 50.0187454 50.5804329 51.1455841 51.7243881 52.3131027 52.9012032 53.3610077 53.9153023 54.5234871 55.088295 55.6200256 56.1785049 56.7531128 57.3510513 57.9243011 58.4880981 59.0676804 59.6734428 60.2566605 60.8547363 61.4480286 62.0918503 62.7315445 63.3537064 64.0148621 64.6194458 65.3214874 65.9914246 66.6596375 67.3484802 68.0932007 68.8330154 69.6841736 70.5432281 71.5520782 72.6088638 73.8082123 75.0857697 76.4691772 78.1897278 79.927887 82.3335114 84.704071 87.6534653 91.4987488 96.3774338 104.441429 118.646927 346.391968 ------------------------------ Transdef: Tab for variable 9 48.7045631 63.0648804 64.7994232 66.3923035 67.6420898 68.6103973 69.5405273 70.2084961 70.9200974 71.6809845 72.5056763 73.1578217 73.682373 74.3200684 74.9226532 75.4439392 75.8591614 76.4895706 77.0432129 77.5757294 78.1008911 78.5858917 79.1844482 79.6495514 80.1255035 80.8115463 81.3163452 81.9648895 82.46492 82.9616394 83.6513977 84.311203 84.9974442 85.853363 86.688591 87.5983887 88.5944366 89.3595581 90.2776566 91.2174149 92.21875 93.1032257 94.1408005 95.0928268 96.1473999 97.3757019 98.3224945 99.487793 100.527054 101.633537 102.690285 103.811447 104.892288 105.916809 106.8526 107.951447 108.964569 109.912781 110.903091 111.906563 112.958488 113.891006 114.943832 115.881485 116.85009 117.864845 118.863586 119.839905 120.73703 121.653015 122.638397 123.593521 124.598068 125.577225 126.47805 127.427704 128.345627 129.248871 130.16214 131.123123 132.138763 133.058899 134.091553 135.13559 136.128601 137.276184 138.383286 139.544403 140.744598 141.971893 143.428589 144.852036 146.560822 148.233795 150.386383 153.174347 156.822067 161.877457 170.17337 187.470551 424.390259 ------------------------------ Transdef: Tab for variable 10 0.00602381537 1.04201233 1.35342646 1.5598917 1.71585703 1.82336152 1.91835201 2.00068188 2.07471132 2.14177895 2.20107508 2.25599813 2.30371666 2.34431815 2.38264799 2.42028189 2.45436978 2.48592091 2.51742268 2.54400516 2.56941772 2.59537935 2.61889386 2.64288282 2.66564178 2.68685508 2.70725322 2.72613096 2.74440527 2.76152182 2.77824879 2.79302406 2.80754375 2.82173681 2.83340263 2.84513259 2.85713291 2.86670804 2.87762785 2.8867805 2.89627123 2.90579319 2.914711 2.92164421 2.92938328 2.93708658 2.94610953 2.95235777 2.95911622 2.96538973 2.97079873 2.97740865 2.9824903 2.98717546 2.99118805 2.99743605 3.00261045 3.00750709 3.01244736 3.01690769 3.02170444 3.02641582 3.02979088 3.03395295 3.03780222 3.04165721 3.04556084 3.04929256 3.05324364 3.05693054 3.06040478 3.06415176 3.06741524 3.07082891 3.07359099 3.07663393 3.07991529 3.08282828 3.08607507 3.08900237 3.09205866 3.09469056 3.09723973 3.10019732 3.1027112 3.10500622 3.10774565 3.10975695 3.11256218 3.11513019 3.11733603 3.11964917 3.12216043 3.12456799 3.12705803 3.12924385 3.13185906 3.13402987 3.13639617 3.13884926 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00633048546 0.011510252 0.0186015293 0.0250258446 0.0327626839 0.0407369435 0.0485534668 0.0573997498 0.063792944 0.0710763931 0.0783934593 0.0856379271 0.0923940539 0.100105762 0.107826829 0.115866952 0.123506427 0.131015599 0.138472557 0.145773381 0.153324425 0.160296589 0.166870594 0.173603535 0.179630995 0.185936496 0.192362905 0.198535144 0.204159856 0.209696382 0.21595335 0.221817493 0.227570772 0.232859135 0.238125205 0.244289339 0.250049263 0.255343199 0.260876417 0.266278446 0.271786809 0.277411103 0.283430219 0.289127946 0.294562519 0.299768806 0.305196822 0.311104894 0.316832006 0.322093427 0.327163279 0.333180189 0.3384884 0.344586849 0.350301296 0.356034815 0.36111021 0.366482854 0.372439861 0.37812531 0.38530153 0.390860379 0.39725697 0.402230382 0.408396959 0.414061934 0.420009792 0.425899982 0.431905746 0.438819587 0.444406509 0.449790537 0.455923915 0.461739779 0.469020247 0.475916862 0.48267287 0.490602612 0.498744726 0.506379962 0.514280379 0.521138608 0.530086756 0.540100098 0.549444079 0.560124159 0.571472764 0.583034396 0.595169008 0.608321428 0.623188198 0.6373685 0.653115511 0.670061827 0.690196633 0.714083672 0.740401983 0.786149859 0.855388641 1.12033129 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.216868222 0.229083613 0.240782946 0.251386851 0.260815233 0.270611286 0.279610336 0.286671788 0.295036077 0.30270654 0.310514927 0.31762749 0.323614955 0.330579549 0.337486088 0.34473592 0.350277781 0.356455535 0.362421989 0.368532777 0.374717832 0.380323291 0.386865377 0.392872691 0.397752851 0.402068108 0.406301826 0.410287708 0.414449394 0.418117523 0.422355622 0.426284134 0.430140465 0.433680117 0.437189341 0.440881521 0.444737971 0.447815746 0.451752484 0.45516032 0.458855778 0.462070972 0.465540886 0.469198883 0.473248333 0.476880968 0.480536997 0.484144628 0.487625718 0.491240919 0.495255589 0.498904824 0.502677441 0.506873488 0.510636866 0.514387429 0.51886034 0.522889376 0.527052522 0.531707644 0.536871374 0.541959584 0.546818018 0.551563859 0.556263447 0.561155796 0.566440105 0.571700692 0.57679379 0.582351208 0.587726831 0.593375087 0.598481297 0.604802251 0.611094475 0.61742425 0.624282598 0.630939007 0.63767004 0.645153284 0.65227437 0.660653532 0.66766715 0.676026583 0.683454752 0.69302237 0.700629711 0.710014403 0.720602274 0.72887826 0.740596175 0.751188517 0.764283657 0.780504704 0.796396792 0.815396905 0.837890744 0.870323598 0.914874792 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.4830475 22.2014942 22.7800217 23.4026108 23.8892422 24.4354935 24.8800888 25.2918205 25.6337662 26.0060253 26.4368095 26.8134041 27.2128448 27.5628853 27.9364986 28.2606354 28.5783997 28.8804741 29.1894836 29.474781 29.7935829 30.1081009 30.4080238 30.67033 30.9851418 31.3123226 31.5825005 31.8805733 32.1633148 32.4579163 32.8114471 33.1333694 33.4360962 33.762146 34.0378189 34.4433212 34.7470322 35.0183105 35.3490295 35.673584 35.9979782 36.2176666 36.5641861 36.905304 37.2561035 37.6061249 37.9980774 38.3565254 38.7054634 39.1076164 39.5062294 39.9079475 40.3182755 40.7184067 41.1257362 41.5611839 41.9817429 42.4152298 42.8804626 43.2523384 43.6680183 44.0848007 44.5622864 45.0436172 45.5033646 46.0171127 46.4786644 46.9535789 47.4825974 48.0536499 48.6390991 49.1915436 49.8115845 50.4349213 51.0752144 51.8630219 52.5192871 53.3273163 54.1276932 54.9330139 55.7587509 56.600132 57.5811234 58.6184082 59.586647 60.8507385 62.1718979 63.2842293 64.850708 66.5568848 68.5831757 70.5520782 73.1964417 75.7635651 78.6914215 82.5984497 87.5514832 93.4511414 104.251419 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7835741 11.1589804 11.5023108 11.8544426 12.2653999 12.5339823 12.8244915 13.1555538 13.4480543 13.7486629 14.032217 14.2775593 14.5564451 14.8124371 15.0850754 15.3547688 15.6080456 15.8953457 16.1963348 16.4607277 16.7353287 16.9528694 17.220005 17.4834938 17.7282639 17.9586792 18.2155094 18.4937057 18.7458763 18.9867592 19.1932869 19.4316921 19.7229004 19.97262 20.2435684 20.4980927 20.7383499 20.9850922 21.2721157 21.5215607 21.7659416 21.9916553 22.2574329 22.5269833 22.7614365 23.0095215 23.2653427 23.5028648 23.7973576 24.0879345 24.3713341 24.6395741 24.9184074 25.2387085 25.5208244 25.7412968 25.9805374 26.2382393 26.5157013 26.803791 27.0775642 27.3868103 27.6584435 27.9581413 28.2359142 28.566433 28.9299393 29.2258072 29.5275192 29.8104897 30.1830921 30.5130577 30.9031067 31.2422504 31.6299171 31.9977837 32.4626389 32.9121323 33.4147263 33.8592834 34.3159256 34.7930527 35.2898712 35.8219757 36.4296341 37.0431328 37.7179413 38.4494324 39.2970047 40.1714935 41.130806 42.2917099 43.746582 44.9449501 46.7434196 49.0177269 52.1319351 55.971077 62.6871758 118.581718 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 62.8 44.3 48.0 23.1 44.6 60.1 50.4 60.2 -29.1 -13.8 -33.0 7.6 17.4 2 62.8 100.0 64.0 57.3 28.5 65.9 94.2 71.4 91.0 -48.2 -22.8 -47.2 27.5 28.7 3 44.3 64.0 100.0 38.7 3.3 30.4 67.4 50.1 69.5 -17.6 -24.0 -51.8 62.3 18.5 4 48.0 57.3 38.7 100.0 10.4 33.2 58.1 48.2 63.3 -14.8 -27.2 -58.9 13.6 69.4 5 23.1 28.5 3.3 10.4 100.0 82.6 0.5 53.4 52.6 25.9 -4.3 -7.0 -8.4 0.6 6 44.6 65.9 30.4 33.2 82.6 100.0 44.1 77.8 78.7 -6.9 -12.8 -26.1 6.1 13.7 7 60.1 94.2 67.4 58.1 0.5 44.1 100.0 62.8 78.9 -56.2 -22.3 -47.7 32.3 30.9 8 50.4 71.4 50.1 48.2 53.4 77.8 62.8 100.0 81.5 -11.0 -21.6 -41.2 21.1 25.5 9 60.2 91.0 69.5 63.3 52.6 78.7 78.9 81.5 100.0 -23.2 -25.4 -53.4 32.1 34.3 10 -29.1 -48.2 -17.6 -14.8 25.9 -6.9 -56.2 -11.0 -23.2 100.0 4.1 9.8 -4.2 -4.1 11 -13.8 -22.8 -24.0 -27.2 -4.3 -12.8 -22.3 -21.6 -25.4 4.1 100.0 53.4 -10.1 -16.9 12 -33.0 -47.2 -51.8 -58.9 -7.0 -26.1 -47.7 -41.2 -53.4 9.8 53.4 100.0 -24.0 -33.8 13 7.6 27.5 62.3 13.6 -8.4 6.1 32.3 21.1 32.1 -4.2 -10.1 -24.0 100.0 43.6 14 17.4 28.7 18.5 69.4 0.6 13.7 30.9 25.5 34.3 -4.1 -16.9 -33.8 43.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 151.63699 TOTAL CORRELATION OF ALL VARIABLES 69.0636794 ROUND 1: MAX CORR ( 69.0515584) AFTER KILLING INPUT VARIABLE 6 CONTR 1.29386735 ROUND 2: MAX CORR ( 69.0284519) AFTER KILLING INPUT VARIABLE 11 CONTR 1.78621182 ROUND 3: MAX CORR ( 68.9691894) AFTER KILLING INPUT VARIABLE 8 CONTR 2.85973551 ROUND 4: MAX CORR ( 68.8643787) AFTER KILLING INPUT VARIABLE 2 CONTR 3.80084528 ROUND 5: MAX CORR ( 68.7391989) AFTER KILLING INPUT VARIABLE 14 CONTR 4.15032462 ROUND 6: MAX CORR ( 68.5800964) AFTER KILLING INPUT VARIABLE 12 CONTR 4.67416734 ROUND 7: MAX CORR ( 68.2440448) AFTER KILLING INPUT VARIABLE 10 CONTR 6.78085272 ROUND 8: MAX CORR ( 67.5570697) AFTER KILLING INPUT VARIABLE 9 CONTR 9.65877816 ROUND 9: MAX CORR ( 66.4046492) AFTER KILLING INPUT VARIABLE 4 CONTR 12.4249838 ROUND 10: MAX CORR ( 65.1463068) AFTER KILLING INPUT VARIABLE 3 CONTR 12.8660854 ROUND 11: MAX CORR ( 64.2968398) AFTER KILLING INPUT VARIABLE 13 CONTR 10.4860707 ROUND 12: MAX CORR ( 60.1183419) AFTER KILLING INPUT VARIABLE 5 CONTR 22.8006266 LAST REMAINING VARIABLE: 7 total correlation to target: 69.0636794 % total significance: 134.33944 sigma correlations of single variables to target: variable 2: 62.7913372 % , in sigma: 122.138773 variable 3: 44.3378157 % , in sigma: 86.2438461 variable 4: 47.9868663 % , in sigma: 93.3418088 variable 5: 23.1024929 % , in sigma: 44.937889 variable 6: 44.6096857 % , in sigma: 86.7726751 variable 7: 60.1183419 % , in sigma: 116.939388 variable 8: 50.3939691 % , in sigma: 98.0239925 variable 9: 60.1665544 % , in sigma: 117.033169 variable 10: -29.0868716 % , in sigma: 56.5784228 variable 11: -13.8013104 % , in sigma: 26.8456637 variable 12: -32.9720318 % , in sigma: 64.1356546 variable 13: 7.59555241 % , in sigma: 14.7745134 variable 14: 17.4224894 % , in sigma: 33.8894117 variables sorted by significance: 1 most relevant variable 7 corr 60.1183434 , in sigma: 116.939391 2 most relevant variable 5 corr 22.8006268 , in sigma: 44.3507132 3 most relevant variable 13 corr 10.4860706 , in sigma: 20.3970143 4 most relevant variable 3 corr 12.8660851 , in sigma: 25.0265071 5 most relevant variable 4 corr 12.424984 , in sigma: 24.1684979 6 most relevant variable 9 corr 9.65877819 , in sigma: 18.7878038 7 most relevant variable 10 corr 6.78085279 , in sigma: 13.1897978 8 most relevant variable 12 corr 4.67416716 , in sigma: 9.09197142 9 most relevant variable 14 corr 4.15032482 , in sigma: 8.0730178 10 most relevant variable 2 corr 3.80084538 , in sigma: 7.39322674 11 most relevant variable 8 corr 2.85973549 , in sigma: 5.56262377 12 most relevant variable 11 corr 1.78621185 , in sigma: 3.47445578 13 most relevant variable 6 corr 1.29386735 , in sigma: 2.51677028 global correlations between input variables: variable 2: 99.1300381 % variable 3: 92.6039158 % variable 4: 91.5905201 % variable 5: 95.3207952 % variable 6: 94.8564949 % variable 7: 98.6893905 % variable 8: 88.7371997 % variable 9: 98.7867206 % variable 10: 72.6986538 % variable 11: 54.393805 % variable 12: 75.6183372 % variable 13: 84.5179037 % variable 14: 86.9107473 % significance loss when removing single variables: variable 2: corr = 4.85889984 % , sigma = 9.45130481 variable 3: corr = 14.8754864 % , sigma = 28.9351006 variable 4: corr = 15.8642844 % , sigma = 30.8584643 variable 5: corr = 13.2153378 % , sigma = 25.7058572 variable 6: corr = 1.29386735 % , sigma = 2.51677027 variable 7: corr = 5.01564234 % , sigma = 9.75619299 variable 8: corr = 3.21980018 % , sigma = 6.26300477 variable 9: corr = 10.434968 % , sigma = 20.2976119 variable 10: corr = 6.18197655 % , sigma = 12.0248918 variable 11: corr = 1.82951872 % , sigma = 3.55869429 variable 12: corr = 3.64910954 % , sigma = 7.09807728 variable 13: corr = 7.36115115 % , sigma = 14.3185671 variable 14: corr = 4.0021066 % , sigma = 7.78471064 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 25.0355015 sigma out 15 active outputs RANK 2 NODE 11 --> 22.7956581 sigma out 15 active outputs RANK 3 NODE 1 --> 22.4384289 sigma out 15 active outputs RANK 4 NODE 9 --> 21.7795715 sigma out 15 active outputs RANK 5 NODE 8 --> 21.0116405 sigma out 15 active outputs RANK 6 NODE 7 --> 19.5900669 sigma out 15 active outputs RANK 7 NODE 12 --> 18.2329273 sigma out 15 active outputs RANK 8 NODE 4 --> 16.6584587 sigma out 15 active outputs RANK 9 NODE 3 --> 16.2480621 sigma out 15 active outputs RANK 10 NODE 10 --> 14.3409986 sigma out 15 active outputs RANK 11 NODE 6 --> 12.8878765 sigma out 15 active outputs RANK 12 NODE 2 --> 10.0663118 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 31.6396217 sigma in 12act. ( 33.2470703 sig out 1act.) RANK 2 NODE 5 --> 28.5799084 sigma in 12act. ( 32.166317 sig out 1act.) RANK 3 NODE 7 --> 25.6688786 sigma in 12act. ( 22.6730766 sig out 1act.) RANK 4 NODE 4 --> 25.2990074 sigma in 12act. ( 25.0073338 sig out 1act.) RANK 5 NODE 3 --> 16.5317364 sigma in 12act. ( 13.7774458 sig out 1act.) RANK 6 NODE 12 --> 16.0735741 sigma in 12act. ( 16.1638298 sig out 1act.) RANK 7 NODE 13 --> 14.444726 sigma in 12act. ( 17.762846 sig out 1act.) RANK 8 NODE 14 --> 10.8782053 sigma in 12act. ( 11.0963793 sig out 1act.) RANK 9 NODE 1 --> 10.0635319 sigma in 12act. ( 11.5545235 sig out 1act.) RANK 10 NODE 6 --> 8.41282749 sigma in 12act. ( 8.81012058 sig out 1act.) RANK 11 NODE 9 --> 7.71696043 sigma in 12act. ( 2.68691063 sig out 1act.) RANK 12 NODE 15 --> 6.81321955 sigma in 12act. ( 6.91554785 sig out 1act.) RANK 13 NODE 2 --> 5.18307209 sigma in 12act. ( 6.82085609 sig out 1act.) RANK 14 NODE 10 --> 3.57994246 sigma in 12act. ( 2.5542624 sig out 1act.) RANK 15 NODE 11 --> 1.84206092 sigma in 12act. ( 3.64730811 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 33.2470703 sigma out 1act.( 31.6396217 sig in 12act.) RANK 2 NODE 5 --> 32.166317 sigma out 1act.( 28.5799084 sig in 12act.) RANK 3 NODE 4 --> 25.0073338 sigma out 1act.( 25.2990074 sig in 12act.) RANK 4 NODE 7 --> 22.6730766 sigma out 1act.( 25.6688786 sig in 12act.) RANK 5 NODE 13 --> 17.762846 sigma out 1act.( 14.444726 sig in 12act.) RANK 6 NODE 12 --> 16.1638298 sigma out 1act.( 16.0735741 sig in 12act.) RANK 7 NODE 3 --> 13.7774458 sigma out 1act.( 16.5317364 sig in 12act.) RANK 8 NODE 1 --> 11.5545235 sigma out 1act.( 10.0635319 sig in 12act.) RANK 9 NODE 14 --> 11.0963793 sigma out 1act.( 10.8782053 sig in 12act.) RANK 10 NODE 6 --> 8.81012058 sigma out 1act.( 8.41282749 sig in 12act.) RANK 11 NODE 15 --> 6.91554785 sigma out 1act.( 6.81321955 sig in 12act.) RANK 12 NODE 2 --> 6.82085609 sigma out 1act.( 5.18307209 sig in 12act.) RANK 13 NODE 11 --> 3.64730811 sigma out 1act.( 1.84206092 sig in 12act.) RANK 14 NODE 9 --> 2.68691063 sigma out 1act.( 7.71696043 sig in 12act.) RANK 15 NODE 10 --> 2.5542624 sigma out 1act.( 3.57994246 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 67.0949326 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 26.7750168 sigma out 15 active outputs RANK 2 NODE 5 --> 23.9547462 sigma out 15 active outputs RANK 3 NODE 1 --> 21.9388161 sigma out 15 active outputs RANK 4 NODE 9 --> 20.5487442 sigma out 15 active outputs RANK 5 NODE 8 --> 20.0341301 sigma out 15 active outputs RANK 6 NODE 7 --> 19.7055473 sigma out 15 active outputs RANK 7 NODE 4 --> 17.4241238 sigma out 15 active outputs RANK 8 NODE 12 --> 17.2077122 sigma out 15 active outputs RANK 9 NODE 3 --> 16.9571819 sigma out 15 active outputs RANK 10 NODE 10 --> 14.0488777 sigma out 15 active outputs RANK 11 NODE 6 --> 13.6613798 sigma out 15 active outputs RANK 12 NODE 2 --> 11.8094921 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 30.5536861 sigma in 12act. ( 32.0035095 sig out 1act.) RANK 2 NODE 8 --> 30.1253319 sigma in 12act. ( 30.5552616 sig out 1act.) RANK 3 NODE 4 --> 21.9731846 sigma in 12act. ( 21.9446201 sig out 1act.) RANK 4 NODE 7 --> 20.6770306 sigma in 12act. ( 18.7694492 sig out 1act.) RANK 5 NODE 13 --> 17.7654934 sigma in 12act. ( 17.6691284 sig out 1act.) RANK 6 NODE 12 --> 14.9160414 sigma in 12act. ( 14.3971195 sig out 1act.) RANK 7 NODE 11 --> 14.7217627 sigma in 12act. ( 8.85669041 sig out 1act.) RANK 8 NODE 3 --> 14.0687265 sigma in 12act. ( 11.8859949 sig out 1act.) RANK 9 NODE 1 --> 12.0031414 sigma in 12act. ( 11.1144371 sig out 1act.) RANK 10 NODE 14 --> 11.9163256 sigma in 12act. ( 10.432435 sig out 1act.) RANK 11 NODE 6 --> 11.8104916 sigma in 12act. ( 8.24538136 sig out 1act.) RANK 12 NODE 2 --> 9.40785027 sigma in 12act. ( 7.32840443 sig out 1act.) RANK 13 NODE 15 --> 7.79654217 sigma in 12act. ( 7.01442337 sig out 1act.) RANK 14 NODE 9 --> 7.70089388 sigma in 12act. ( 1.4098624 sig out 1act.) RANK 15 NODE 10 --> 7.50633574 sigma in 12act. ( 2.55999565 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 32.0035095 sigma out 1act.( 30.5536861 sig in 12act.) RANK 2 NODE 8 --> 30.5552616 sigma out 1act.( 30.1253319 sig in 12act.) RANK 3 NODE 4 --> 21.9446201 sigma out 1act.( 21.9731846 sig in 12act.) RANK 4 NODE 7 --> 18.7694492 sigma out 1act.( 20.6770306 sig in 12act.) RANK 5 NODE 13 --> 17.6691284 sigma out 1act.( 17.7654934 sig in 12act.) RANK 6 NODE 12 --> 14.3971195 sigma out 1act.( 14.9160414 sig in 12act.) RANK 7 NODE 3 --> 11.8859949 sigma out 1act.( 14.0687265 sig in 12act.) RANK 8 NODE 1 --> 11.1144371 sigma out 1act.( 12.0031414 sig in 12act.) RANK 9 NODE 14 --> 10.432435 sigma out 1act.( 11.9163256 sig in 12act.) RANK 10 NODE 11 --> 8.85669041 sigma out 1act.( 14.7217627 sig in 12act.) RANK 11 NODE 6 --> 8.24538136 sigma out 1act.( 11.8104916 sig in 12act.) RANK 12 NODE 2 --> 7.32840443 sigma out 1act.( 9.40785027 sig in 12act.) RANK 13 NODE 15 --> 7.01442337 sigma out 1act.( 7.79654217 sig in 12act.) RANK 14 NODE 10 --> 2.55999565 sigma out 1act.( 7.50633574 sig in 12act.) RANK 15 NODE 9 --> 1.4098624 sigma out 1act.( 7.70089388 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 62.7909355 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.417518288 *** contribution from regularisation: 0.00470697274 *** contribution from error: -0.422225267 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.476195514 *** contribution from regularisation: 0.00283259829 *** contribution from error: -0.479028106 *********************************************** -----------------> Test sample ENTER BFGS code START -44670.8035 -0.0394281894 0.0189925544 EXIT FROM BFGS code FG_START 0. -0.0394281894 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.509174705 *** contribution from regularisation: 0.00263913558 *** contribution from error: -0.511813819 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -47754.4747 -0.0394281894 -137.079712 EXIT FROM BFGS code FG_LNSRCH 0. -0.0649559349 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss fun133.855469 EXIT FROM BFGS code NEW_X -50766.5611 -0.0649559349 -133.855469 ENTER BFGS code NEW_X -50766.5611 -0.0649559349 -133.855469 EXIT FROM BFGS code FG_LNSRCH 0. -0.0909311622 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.542895377 *** contribution from regularisation: 0.00336152618 *** contribution from error: -0.5462569 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50917.0717 -0.0909311622 -71.5168762 EXIT FROM BFGS code NEW_X -50917.0717 -0.0909311622 -71.5168762 ENTER BFGS code NEW_X -50917.0717 -0.0909311622 -71.5168762 EXIT FROM BFGS code FG_LNSRCH 0. -0.128104359 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.544124782 *** contribution from regularisation: 0.00335028302 *** contribution from error: -0.54747504 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51032.3762 -0.128104359 -14.8253736 EXIT FROM BFGS code NEW_X -51032.3762 -0.128104359 -14.8253736 ENTER BFGS code NEW_X -51032.3762 -0.128104359 -14.8253736 EXIT FROM BFGS code FG_LNSRCH 0. -0.149780706 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.54451704 *** contribution from regularisation: 0.00329319574 *** contribution from error: -0.547810256 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51069.1634 -0.149780706 10.6714706 EXIT FROM BFGS code NEW_X -51069.1634 -0.149780706 10.6714706 ENTER BFGS code NEW_X -51069.1634 -0.149780706 10.6714706 EXIT FROM BFGS code FG_LNSRCH 0. -0.186401382 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.545238912 *** contribution from regularisation: 0.00319152954 *** contribution from error: -0.548430443 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51136.8697 -0.186401382 20.1591682 EXIT FROM BFGS code NEW_X -51136.8697 -0.186401382 20.1591682 ENTER BFGS code NEW_X -51136.8697 -0.186401382 20.1591682 EXIT FROM BFGS code FG_LNSRCH 0. -0.307371795 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.546347797 *** contribution from regularisation: 0.00305021135 *** contribution from error: -0.549398005 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51240.8691 -0.307371795 90.862709 EXIT FROM BFGS code NEW_X -51240.8691 -0.307371795 90.862709 ENTER BFGS code NEW_X -51240.8691 -0.307371795 90.862709 EXIT FROM BFGS code FG_LNSRCH 0. -0.337603778 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 51.1655159 sigma out 15 active outputs RANK 2 NODE 1 --> 32.9587936 sigma out 15 active outputs RANK 3 NODE 3 --> 20.9542866 sigma out 15 active outputs RANK 4 NODE 10 --> 20.5151863 sigma out 15 active outputs RANK 5 NODE 2 --> 18.385685 sigma out 15 active outputs RANK 6 NODE 4 --> 16.8332405 sigma out 15 active outputs RANK 7 NODE 5 --> 13.2991247 sigma out 15 active outputs RANK 8 NODE 7 --> 10.6932039 sigma out 15 active outputs RANK 9 NODE 6 --> 9.59894371 sigma out 15 active outputs RANK 10 NODE 12 --> 9.17675304 sigma out 15 active outputs RANK 11 NODE 8 --> 8.93218994 sigma out 15 active outputs RANK 12 NODE 9 --> 7.68067408 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 58.6754341 sigma in 12act. ( 51.2341537 sig out 1act.) RANK 2 NODE 5 --> 27.4813232 sigma in 12act. ( 34.9333839 sig out 1act.) RANK 3 NODE 8 --> 22.1022148 sigma in 12act. ( 17.6202087 sig out 1act.) RANK 4 NODE 6 --> 15.3559628 sigma in 12act. ( 14.9573841 sig out 1act.) RANK 5 NODE 13 --> 12.1962376 sigma in 12act. ( 10.6687613 sig out 1act.) RANK 6 NODE 12 --> 11.7831755 sigma in 12act. ( 11.7943077 sig out 1act.) RANK 7 NODE 14 --> 10.7145157 sigma in 12act. ( 8.97542477 sig out 1act.) RANK 8 NODE 2 --> 10.6036701 sigma in 12act. ( 8.09040356 sig out 1act.) RANK 9 NODE 3 --> 10.5769157 sigma in 12act. ( 9.48236465 sig out 1act.) RANK 10 NODE 15 --> 9.41658497 sigma in 12act. ( 9.04180527 sig out 1act.) RANK 11 NODE 4 --> 8.36531067 sigma in 12act. ( 5.77785587 sig out 1act.) RANK 12 NODE 10 --> 6.14018869 sigma in 12act. ( 4.33809233 sig out 1act.) RANK 13 NODE 7 --> 4.3016448 sigma in 12act. ( 3.43197346 sig out 1act.) RANK 14 NODE 1 --> 3.75584745 sigma in 12act. ( 1.12057614 sig out 1act.) RANK 15 NODE 9 --> 3.72451687 sigma in 12act. ( 1.42402172 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 51.2341537 sigma out 1act.( 58.6754341 sig in 12act.) RANK 2 NODE 5 --> 34.9333839 sigma out 1act.( 27.4813232 sig in 12act.) RANK 3 NODE 8 --> 17.6202087 sigma out 1act.( 22.1022148 sig in 12act.) RANK 4 NODE 6 --> 14.9573841 sigma out 1act.( 15.3559628 sig in 12act.) RANK 5 NODE 12 --> 11.7943077 sigma out 1act.( 11.7831755 sig in 12act.) RANK 6 NODE 13 --> 10.6687613 sigma out 1act.( 12.1962376 sig in 12act.) RANK 7 NODE 3 --> 9.48236465 sigma out 1act.( 10.5769157 sig in 12act.) RANK 8 NODE 15 --> 9.04180527 sigma out 1act.( 9.41658497 sig in 12act.) RANK 9 NODE 14 --> 8.97542477 sigma out 1act.( 10.7145157 sig in 12act.) RANK 10 NODE 2 --> 8.09040356 sigma out 1act.( 10.6036701 sig in 12act.) RANK 11 NODE 4 --> 5.77785587 sigma out 1act.( 8.36531067 sig in 12act.) RANK 12 NODE 10 --> 4.33809233 sigma out 1act.( 6.14018869 sig in 12act.) RANK 13 NODE 7 --> 3.43197346 sigma out 1act.( 4.3016448 sig in 12act.) RANK 14 NODE 9 --> 1.42402172 sigma out 1act.( 3.72451687 sig in 12act.) RANK 15 NODE 1 --> 1.12057614 sigma out 1act.( 3.75584745 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 70.833252 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.547256589 *** contribution from regularisation: 0.00328482711 *** contribution from error: -0.550541401 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51326.1022 -0.337603778 -45.4364853 EXIT FROM BFGS code NEW_X -51326.1022 -0.337603778 -45.4364853 ENTER BFGS code NEW_X -51326.1022 -0.337603778 -45.4364853 EXIT FROM BFGS code FG_LNSRCH 0. -0.3210181 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.548002183 *** contribution from regularisation: 0.00297247455 *** contribution from error: -0.550974667 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51396.0305 -0.3210181 -6.68155241 EXIT FROM BFGS code NEW_X -51396.0305 -0.3210181 -6.68155241 ENTER BFGS code NEW_X -51396.0305 -0.3210181 -6.68155241 EXIT FROM BFGS code FG_LNSRCH 0. -0.336821318 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.548074663 *** contribution from regularisation: 0.00310059078 *** contribution from error: -0.551175237 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51402.8257 -0.336821318 11.6665487 EXIT FROM BFGS code NEW_X -51402.8257 -0.336821318 11.6665487 ENTER BFGS code NEW_X -51402.8257 -0.336821318 11.6665487 EXIT FROM BFGS code FG_LNSRCH 0. -0.342397094 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.548307478 *** contribution from regularisation: 0.00300549343 *** contribution from error: -0.551312983 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51424.6626 -0.342397094 7.21453524 EXIT FROM BFGS code NEW_X -51424.6626 -0.342397094 7.21453524 ENTER BFGS code NEW_X -51424.6626 -0.342397094 7.21453524 EXIT FROM BFGS code FG_LNSRCH 0. -0.372089386 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.548809409 *** contribution from regularisation: 0.00301710004 *** contribution from error: -0.551826537 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51471.7391 -0.372089386 -3.19156909 EXIT FROM BFGS code NEW_X -51471.7391 -0.372089386 -3.19156909 ENTER BFGS code NEW_X -51471.7391 -0.372089386 -3.19156909 EXIT FROM BFGS code FG_LNSRCH 0. -0.396806598 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.549175501 *** contribution from regularisation: 0.00302056107 *** contribution from error: -0.552196085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51506.0705 -0.396806598 9.01764202 EXIT FROM BFGS code NEW_X -51506.0705 -0.396806598 9.01764202 ENTER BFGS code NEW_X -51506.0705 -0.396806598 9.01764202 EXIT FROM BFGS code FG_LNSRCH 0. -0.399986506 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.549568474 *** contribution from regularisation: 0.00298652379 *** contribution from error: -0.552555025 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51542.9296 -0.399986506 -0.481424421 EXIT FROM BFGS code NEW_X -51542.9296 -0.399986506 -0.481424421 ENTER BFGS code NEW_X -51542.9296 -0.399986506 -0.481424421 EXIT FROM BFGS code FG_LNSRCH 0. -0.393814266 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.549679339 *** contribution from regularisation: 0.00294542406 *** contribution from error: -0.552624762 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51553.3234 -0.393814266 15.871521 EXIT FROM BFGS code NEW_X -51553.3234 -0.393814266 15.871521 ENTER BFGS code NEW_X -51553.3234 -0.393814266 15.871521 EXIT FROM BFGS code FG_LNSRCH 0. -0.392225474 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.549694598 *** contribution from regularisation: 0.0029783058 *** contribution from error: -0.552672923 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51554.7579 -0.392225474 14.5660601 EXIT FROM BFGS code NEW_X -51554.7579 -0.392225474 14.5660601 ENTER BFGS code NEW_X -51554.7579 -0.392225474 14.5660601 EXIT FROM BFGS code FG_LNSRCH 0. -0.374016345 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.54997468 *** contribution from regularisation: 0.00290432223 *** contribution from error: -0.552878976 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51581.0275 -0.374016345 12.0821438 EXIT FROM BFGS code NEW_X -51581.0275 -0.374016345 12.0821438 ENTER BFGS code NEW_X -51581.0275 -0.374016345 12.0821438 EXIT FROM BFGS code FG_LNSRCH 0. -0.341600627 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 74.3307266 sigma out 15 active outputs RANK 2 NODE 1 --> 32.8061295 sigma out 15 active outputs RANK 3 NODE 3 --> 32.0518608 sigma out 15 active outputs RANK 4 NODE 2 --> 27.088335 sigma out 15 active outputs RANK 5 NODE 5 --> 21.3233948 sigma out 15 active outputs RANK 6 NODE 10 --> 19.1753559 sigma out 15 active outputs RANK 7 NODE 4 --> 17.7311821 sigma out 15 active outputs RANK 8 NODE 8 --> 14.6839809 sigma out 15 active outputs RANK 9 NODE 12 --> 9.38272381 sigma out 15 active outputs RANK 10 NODE 6 --> 9.25933075 sigma out 15 active outputs RANK 11 NODE 7 --> 7.17898035 sigma out 15 active outputs RANK 12 NODE 9 --> 6.70623302 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 81.0102539 sigma in 12act. ( 79.3058624 sig out 1act.) RANK 2 NODE 5 --> 41.4289398 sigma in 12act. ( 46.8667717 sig out 1act.) RANK 3 NODE 8 --> 26.268837 sigma in 12act. ( 30.4669266 sig out 1act.) RANK 4 NODE 6 --> 17.8266068 sigma in 12act. ( 19.4460869 sig out 1act.) RANK 5 NODE 12 --> 14.7954655 sigma in 12act. ( 15.8866205 sig out 1act.) RANK 6 NODE 3 --> 11.6984491 sigma in 12act. ( 11.1895752 sig out 1act.) RANK 7 NODE 13 --> 11.1668091 sigma in 12act. ( 11.7700844 sig out 1act.) RANK 8 NODE 15 --> 9.12420273 sigma in 12act. ( 10.9508915 sig out 1act.) RANK 9 NODE 14 --> 8.4204998 sigma in 12act. ( 9.12474823 sig out 1act.) RANK 10 NODE 10 --> 4.59256077 sigma in 12act. ( 4.53290606 sig out 1act.) RANK 11 NODE 7 --> 4.08188057 sigma in 12act. ( 4.24005318 sig out 1act.) RANK 12 NODE 2 --> 3.43028378 sigma in 12act. ( 1.60387373 sig out 1act.) RANK 13 NODE 4 --> 3.15653348 sigma in 12act. ( 1.37324798 sig out 1act.) RANK 14 NODE 9 --> 1.47254968 sigma in 12act. ( 0.909722388 sig out 1act.) RANK 15 NODE 1 --> 1.39756656 sigma in 12act. ( 0.199410379 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 79.3058624 sigma out 1act.( 81.0102539 sig in 12act.) RANK 2 NODE 5 --> 46.8667717 sigma out 1act.( 41.4289398 sig in 12act.) RANK 3 NODE 8 --> 30.4669266 sigma out 1act.( 26.268837 sig in 12act.) RANK 4 NODE 6 --> 19.4460869 sigma out 1act.( 17.8266068 sig in 12act.) RANK 5 NODE 12 --> 15.8866205 sigma out 1act.( 14.7954655 sig in 12act.) RANK 6 NODE 13 --> 11.7700844 sigma out 1act.( 11.1668091 sig in 12act.) RANK 7 NODE 3 --> 11.1895752 sigma out 1act.( 11.6984491 sig in 12act.) RANK 8 NODE 15 --> 10.9508915 sigma out 1act.( 9.12420273 sig in 12act.) RANK 9 NODE 14 --> 9.12474823 sigma out 1act.( 8.4204998 sig in 12act.) RANK 10 NODE 10 --> 4.53290606 sigma out 1act.( 4.59256077 sig in 12act.) RANK 11 NODE 7 --> 4.24005318 sigma out 1act.( 4.08188057 sig in 12act.) RANK 12 NODE 2 --> 1.60387373 sigma out 1act.( 3.43028378 sig in 12act.) RANK 13 NODE 4 --> 1.37324798 sigma out 1act.( 3.15653348 sig in 12act.) RANK 14 NODE 9 --> 0.909722388 sigma out 1act.( 1.47254968 sig in 12act.) RANK 15 NODE 1 --> 0.199410379 sigma out 1act.( 1.39756656 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 102.739761 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.550098956 *** contribution from regularisation: 0.00291267643 *** contribution from error: -0.553011656 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51592.6827 -0.341600627 9.18880463 EXIT FROM BFGS code NEW_X -51592.6827 -0.341600627 9.18880463 ENTER BFGS code NEW_X -51592.6827 -0.341600627 9.18880463 EXIT FROM BFGS code FG_LNSRCH 0. -0.288337737 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.549847126 *** contribution from regularisation: 0.00287759863 *** contribution from error: -0.552724719 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51569.0607 -0.288337737 25.5577965 EXIT FROM BFGS code FG_LNSRCH 0. -0.325993955 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.549945533 *** contribution from regularisation: 0.00314428378 *** contribution from error: -0.553089797 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51578.2928 -0.325993955 14.1724091 EXIT FROM BFGS code FG_LNSRCH 0. -0.339899123 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.549993038 *** contribution from regularisation: 0.00303340983 *** contribution from error: -0.553026438 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51582.745 -0.339899123 9.54336548 EXIT FROM BFGS code FG_LNSRCH 0. -0.341557533 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.550022364 *** contribution from regularisation: 0.00298981415 *** contribution from error: -0.553012192 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51585.4981 -0.341557533 9.0173254 EXIT FROM BFGS code FG_LNSRCH 0. -0.341600597 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.550012112 *** contribution from regularisation: 0.00299955951 *** contribution from error: -0.553011656 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51584.5342 -0.341600597 9.0200882 EXIT FROM BFGS code FG_LNSRCH 0. -0.341600627 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.550005794 *** contribution from regularisation: 0.0030058308 *** contribution from error: -0.553011596 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51583.946 -0.341600627 8.95734692 EXIT FROM BFGS code FG_LNSRCH 0. -0.341600627 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.550005257 *** contribution from regularisation: 0.00300639472 *** contribution from error: -0.553011656 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51583.8931 -0.341600627 8.98189926 EXIT FROM BFGS code FG_LNSRCH 0. -0.341600627 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.550010502 *** contribution from regularisation: 0.00300115207 *** contribution from error: -0.553011656 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51584.3848 -0.341600627 9.02453995 EXIT FROM BFGS code NEW_X -51584.3848 -0.341600627 9.02453995 ENTER BFGS code NEW_X -51584.3848 -0.341600627 9.02453995 EXIT FROM BFGS code CONVERGENC -51584.3848 -0.341600627 9.02453995 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 115.696449 sigma out 15 active outputs RANK 2 NODE 1 --> 52.0388985 sigma out 15 active outputs RANK 3 NODE 3 --> 51.8340797 sigma out 15 active outputs RANK 4 NODE 2 --> 42.6898994 sigma out 15 active outputs RANK 5 NODE 5 --> 33.3816338 sigma out 15 active outputs RANK 6 NODE 10 --> 29.4445457 sigma out 15 active outputs RANK 7 NODE 4 --> 26.6931076 sigma out 15 active outputs RANK 8 NODE 8 --> 22.9670811 sigma out 15 active outputs RANK 9 NODE 12 --> 14.4934702 sigma out 15 active outputs RANK 10 NODE 6 --> 14.2806206 sigma out 15 active outputs RANK 11 NODE 7 --> 11.2967768 sigma out 15 active outputs RANK 12 NODE 9 --> 10.5332298 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 127.868362 sigma in 12act. ( 125.467819 sig out 1act.) RANK 2 NODE 5 --> 63.9345894 sigma in 12act. ( 74.3906631 sig out 1act.) RANK 3 NODE 8 --> 41.0043335 sigma in 12act. ( 48.3787498 sig out 1act.) RANK 4 NODE 6 --> 27.3474293 sigma in 12act. ( 30.4409294 sig out 1act.) RANK 5 NODE 12 --> 22.8577271 sigma in 12act. ( 25.4905872 sig out 1act.) RANK 6 NODE 3 --> 17.9062958 sigma in 12act. ( 17.2148132 sig out 1act.) RANK 7 NODE 13 --> 16.9834957 sigma in 12act. ( 18.4771633 sig out 1act.) RANK 8 NODE 15 --> 14.076417 sigma in 12act. ( 16.946743 sig out 1act.) RANK 9 NODE 14 --> 12.758481 sigma in 12act. ( 14.1944523 sig out 1act.) RANK 10 NODE 10 --> 6.71475077 sigma in 12act. ( 6.81572342 sig out 1act.) RANK 11 NODE 7 --> 5.87084866 sigma in 12act. ( 6.4303894 sig out 1act.) RANK 12 NODE 2 --> 4.23321581 sigma in 12act. ( 2.5566256 sig out 1act.) RANK 13 NODE 4 --> 3.78395963 sigma in 12act. ( 2.18910336 sig out 1act.) RANK 14 NODE 9 --> 1.79173362 sigma in 12act. ( 1.34259224 sig out 1act.) RANK 15 NODE 1 --> 1.46162319 sigma in 12act. ( 0.304150105 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 125.467819 sigma out 1act.( 127.868362 sig in 12act.) RANK 2 NODE 5 --> 74.3906631 sigma out 1act.( 63.9345894 sig in 12act.) RANK 3 NODE 8 --> 48.3787498 sigma out 1act.( 41.0043335 sig in 12act.) RANK 4 NODE 6 --> 30.4409294 sigma out 1act.( 27.3474293 sig in 12act.) RANK 5 NODE 12 --> 25.4905872 sigma out 1act.( 22.8577271 sig in 12act.) RANK 6 NODE 13 --> 18.4771633 sigma out 1act.( 16.9834957 sig in 12act.) RANK 7 NODE 3 --> 17.2148132 sigma out 1act.( 17.9062958 sig in 12act.) RANK 8 NODE 15 --> 16.946743 sigma out 1act.( 14.076417 sig in 12act.) RANK 9 NODE 14 --> 14.1944523 sigma out 1act.( 12.758481 sig in 12act.) RANK 10 NODE 10 --> 6.81572342 sigma out 1act.( 6.71475077 sig in 12act.) RANK 11 NODE 7 --> 6.4303894 sigma out 1act.( 5.87084866 sig in 12act.) RANK 12 NODE 2 --> 2.5566256 sigma out 1act.( 4.23321581 sig in 12act.) RANK 13 NODE 4 --> 2.18910336 sigma out 1act.( 3.78395963 sig in 12act.) RANK 14 NODE 9 --> 1.34259224 sigma out 1act.( 1.79173362 sig in 12act.) RANK 15 NODE 1 --> 0.304150105 sigma out 1act.( 1.46162319 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 162.543915 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.549998283 *** contribution from regularisation: 0.00301334891 *** contribution from error: -0.553011656 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done