NNInput NNInputs_200.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= 35667 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 = 5223 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 5223 Chosen entries: 5223 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.171561 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 5223 Entries to split: 5223 Test with : 2611 Train with : 2611 ********************************************* * 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= 5223 for Signal Prepared event 0 for Signal with 5223 events ====Entry 0 Variable Ht : 240.571 Variable LepAPt : 87.0536 Variable LepBPt : 34.5835 Variable MetSigLeptonsJets : 2.43331 Variable MetSpec : 34.5812 Variable SumEtLeptonsJets : 205.674 Variable VSumJetLeptonsPt : 41.0091 Variable addEt : 156.534 Variable dPhiLepSumMet : 1.87965 Variable dPhiLeptons : 0.223665 Variable dRLeptons : 0.251129 Variable lep1_E : 87.1262 Variable lep2_E : 34.677 ===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 = 2200 Ht = 240.571 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 87.0537 LepAPt = 87.0536 LepBEt = 34.5838 LepBPt = 34.5835 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 34.8969 MetDelPhi = 1.43619 MetSig = 2.11226 MetSigLeptonsJets = 2.43331 MetSpec = 34.5812 Mjj = 0 MostCentralJetEta = -1.38363 MtllMet = 156.697 Njets = 1 SB = 0 SumEt = 272.946 SumEtJets = 0 SumEtLeptonsJets = 205.674 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0091 addEt = 156.534 dPhiLepSumMet = 1.87965 dPhiLeptons = 0.223665 dRLeptons = 0.251129 diltype = 22 dimass = 13.7615 event = 1758 jet1_Et = 84.0368 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 87.1262 lep2_E = 34.677 rand = 0.999742 run = 196099 weight = 1.6966e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 30444 for Background Prepared event 0 for Background with 30444 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.627395 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 1015 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 35667 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 1015 negative weights. Signal fraction: 62.2974167 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.9230614 62.3136749 63.9100037 65.7075806 67.675827 69.455658 70.8739777 72.6367493 74.2960052 76.2102356 77.8665314 79.611557 81.2724991 82.6808701 84.3469467 85.8343658 87.644516 89.2719116 90.7790298 92.2401733 93.8385849 95.0289383 96.7318268 97.9958954 99.2586823 100.46711 101.78981 103.422028 104.966431 106.633011 107.943405 109.29892 110.562256 111.92804 113.299873 114.760834 116.305664 117.656403 118.736198 120.69236 121.971405 122.978897 124.11515 125.510056 126.682915 128.249359 129.595459 130.810043 132.247498 133.599838 135.027802 136.389771 137.808151 139.335953 140.8367 142.230469 143.459061 144.829041 146.257874 147.577728 149.342072 150.816833 152.467102 154.019409 155.433533 157.162567 158.240875 159.829117 161.345551 163.506744 164.956268 166.738556 168.380234 169.774078 171.774979 174.118591 176.268066 178.244308 180.775635 183.220093 185.300842 188.151215 190.974655 193.5327 196.283401 199.209854 202.660049 205.110504 208.742401 212.91127 217.022919 221.421661 226.761276 232.891434 241.587784 251.45903 261.283203 282.795715 303.304871 340.560974 636.620239 ------------------------------ Transdef: Tab for variable 3 20.0021973 20.4298172 20.8961639 21.3338966 21.7595539 22.1540432 22.5564613 22.9004498 23.2027359 23.5265083 23.8798542 24.2155113 24.5446472 24.8412781 25.1021805 25.3971901 25.679266 26.0458679 26.2983513 26.6685696 26.9461632 27.2712345 27.5324192 27.9105358 28.1932049 28.524437 28.7845745 29.159483 29.3887978 29.6469383 29.8803272 30.1765194 30.447403 30.7618923 31.0672569 31.3540516 31.6290894 31.9777145 32.2399979 32.6092682 32.8355255 33.1162186 33.4221992 33.7977028 34.1416283 34.496994 34.7545776 35.0803871 35.4459572 35.8465271 36.1664963 36.4834251 36.9107285 37.2973938 37.6683426 38.1669617 38.6718903 39.1204185 39.5278091 39.9281235 40.3299179 40.9220161 41.3601074 41.7172928 42.07341 42.5125351 42.961689 43.4746323 43.9298553 44.4477463 44.8693237 45.3124847 45.9229126 46.4869766 47.2464066 47.8997726 48.5995789 49.2417221 49.9307098 50.7544746 51.4123688 52.32827 53.3876648 54.4675751 55.3678589 56.2755966 57.0009384 58.1643829 59.3588943 60.4470978 61.7693672 63.2931595 64.4968414 66.1231384 67.5408859 69.9302826 72.4549561 75.5287476 80.0273666 87.8084869 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0011187 10.2055836 10.3752232 10.5683079 10.8575439 11.1314735 11.3666382 11.6080313 11.8757267 12.1064062 12.3258839 12.6003094 12.8101883 13.0337315 13.3020639 13.5185757 13.7438202 14.0111504 14.2291374 14.4360523 14.6422768 14.9062405 15.1618519 15.3948784 15.611495 15.8318863 16.0465603 16.2738495 16.5297394 16.7509155 16.9425735 17.1314011 17.33461 17.6297035 17.8095016 18.0188065 18.2424622 18.4477501 18.6771736 18.9760952 19.1666756 19.3780136 19.5772781 19.808485 20.0089188 20.1975937 20.3456116 20.5026169 20.6544228 20.8038177 20.9435768 21.096756 21.2599106 21.3644447 21.5175896 21.6651478 21.8382759 21.9884205 22.1391258 22.3009472 22.504631 22.6713104 22.8195992 22.9755535 23.2042675 23.4543171 23.6297817 23.7728424 23.996769 24.1880817 24.3880177 24.6326294 24.8634224 25.0863609 25.3176975 25.5636482 25.8286209 26.0940514 26.3684196 26.6055012 26.8809509 27.10009 27.3030815 27.6471786 27.9710903 28.3450394 28.7280273 29.1262341 29.4809093 29.8146095 30.1784668 30.6429939 31.2074566 31.9324074 32.6154823 33.3015289 34.4642944 35.9661751 38.065834 40.8639374 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.63221824 2.65300655 2.94886875 3.19495225 3.38179636 3.54985952 3.72043395 3.86314893 3.95839286 4.03814316 4.13248348 4.23225117 4.31166935 4.39749813 4.47525406 4.54596281 4.62838173 4.71182537 4.80281019 4.86181784 4.96483898 5.04665852 5.14903831 5.23201084 5.31487942 5.38557243 5.45403481 5.53749895 5.59842205 5.68263721 5.74566698 5.84490776 5.90376616 5.98597336 6.05888271 6.11056519 6.17184258 6.23359728 6.30200052 6.37741947 6.43342209 6.49811554 6.55432129 6.6056633 6.66223907 6.70526218 6.76523876 6.81582785 6.86344051 6.90494394 6.97300911 7.03478146 7.08592606 7.15269279 7.20105839 7.25105572 7.29769993 7.34385681 7.40036011 7.45614052 7.50922489 7.56407547 7.61422539 7.66635704 7.72759914 7.77706051 7.83294582 7.88247156 7.92932367 7.98596334 8.0366993 8.09502602 8.14490509 8.19094467 8.2336874 8.28612328 8.35472107 8.43533516 8.4970932 8.55327702 8.62316799 8.69593143 8.76445389 8.8364315 8.9201355 9.01031876 9.085495 9.16355896 9.26547241 9.36427784 9.4588356 9.56032562 9.65124321 9.8081131 9.97840118 10.1281605 10.3681698 10.5919933 11.0848217 11.9028969 23.3634911 ------------------------------ Transdef: Tab for variable 6 25.0086613 25.3406944 25.6753635 26.0485802 26.4741001 27.0432968 27.4078274 27.9064465 28.4498272 28.9453526 29.4945221 30.2995338 30.9595337 31.6063423 32.3662338 33.2453995 34.1646805 34.9749832 35.9211006 36.5622711 37.3702545 38.1411896 38.823452 39.6858215 40.5328827 41.2949524 41.8892822 42.5912857 43.3437386 43.97435 44.6338806 45.085762 45.7563324 46.1959534 46.9839096 47.6589165 48.2909241 48.8063889 49.5561638 50.2095261 50.9092484 51.513279 52.2974167 52.871254 53.499588 54.2477112 54.8418541 55.3548431 55.9297562 56.6437454 57.2388992 57.955658 58.6732712 59.3259277 59.9732056 60.6567993 61.3126717 61.8977127 62.5123291 63.2940521 63.9893799 64.6541519 65.1228943 65.6878052 66.235733 66.8074036 67.5460434 68.2290039 69.0772018 69.8119659 70.6725693 71.5288849 72.3096161 73.009964 73.800766 74.5322723 75.2972717 75.8543243 76.585289 77.4047546 78.1829529 79.1487656 80.5293427 81.6127472 82.6938171 83.7749176 85.3351593 86.8659515 88.6558838 89.9441452 91.7819977 93.8504181 95.9266968 98.3104019 100.434494 103.751602 109.113876 114.185959 121.55397 136.610001 203.398682 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.3688316 35.048584 35.9562073 36.7999115 37.6050835 38.4670486 39.507679 40.2721024 41.1905861 41.8883514 42.611702 43.3145676 44.1305695 44.7770958 45.4965668 46.2461052 47.0049286 47.8640213 48.5256996 49.3255806 49.8906097 50.7295494 51.2735977 51.9930496 52.735405 53.5148087 54.2403145 55.0976906 55.6994209 56.6269455 57.4152832 58.3375397 59.1327133 59.9015121 60.7063026 61.4915428 62.208168 63.078392 63.9171562 64.7160339 65.2919312 66.1489868 66.8798065 67.5762253 68.3985214 69.2626572 69.9766922 70.7891846 71.6518784 72.3380127 73.1850128 74.0856323 74.8456345 75.7689972 76.6326599 77.6027527 78.6465454 79.7401276 80.6199417 81.6644287 82.7238617 83.6513977 84.7941971 85.9313202 87.0806808 88.2067719 89.1974106 90.885498 92.4052277 93.7797699 95.1414795 96.5050201 98.2188873 99.7565613 101.338081 103.477097 104.718292 106.084938 108.302689 110.569511 112.16507 114.341202 116.378601 118.34108 120.275711 122.588722 125.250801 128.02803 130.971954 135.319565 138.376694 144.108002 150.02243 155.522003 160.60083 171.26712 185.019135 201.886108 230.503693 435.594666 ------------------------------ Transdef: Tab for variable 8 3.67933035 24.7536507 29.4956551 31.4539948 32.6655273 33.8727722 34.7196503 35.170929 35.9104691 36.6250687 37.2948761 37.7994766 38.4042969 38.9836578 39.6546707 40.3117218 40.8932495 41.3306808 41.8383408 42.4577713 43.0880089 43.6915398 44.2801552 44.7261353 45.2652054 45.7931824 46.3005905 46.8398056 47.3435135 47.8531647 48.3743668 48.9318542 49.4395943 49.8674698 50.3982849 50.8449402 51.4388046 51.9354858 52.5652122 53.0255814 53.5284538 54.1055794 54.6705627 55.1392593 55.7772369 56.3974457 56.8917694 57.5741119 58.2110138 58.8353462 59.430954 60.0067902 60.5296326 61.1047935 61.5758972 62.1868896 62.8545418 63.3503418 63.9291344 64.506752 65.1679764 65.8445053 66.3674774 66.9394073 67.5644379 68.1138458 68.8719482 69.5039291 70.0790863 70.6099701 71.2007675 71.9211655 72.7296371 73.4207764 74.0707245 74.9236679 75.715065 76.6095276 77.4286423 78.5239105 79.4104767 80.119873 81.171936 82.1891403 83.1792603 84.4892273 85.919281 87.0514755 88.3843842 90.2773056 92.2690201 94.0784683 96.2725983 98.9091644 102.054993 105.209137 109.816132 115.044617 122.040596 138.857574 257.82074 ------------------------------ Transdef: Tab for variable 9 55.9230614 61.6314888 63.6528091 64.7364044 66.2275543 67.7345734 69.1150436 70.3049316 71.5668869 72.8813248 74.1842651 75.7367554 77.0919189 78.5524139 79.8624115 81.1928406 82.2914505 83.6167755 84.6867828 85.8110962 87.0945587 88.2636871 89.894783 91.1831207 92.2401733 93.3475189 94.4549408 95.443924 96.6979065 97.7076416 98.7115707 99.6063538 100.777802 101.940369 103.053635 104.246078 105.544075 106.769196 107.740776 108.933472 110.298019 111.090103 112.021004 113.267166 114.600204 115.824371 116.845573 118.095581 119.154282 120.364922 121.267593 122.203194 123.178841 124.108185 125.094879 126.144661 127.187714 128.30896 129.419037 130.278305 131.307632 132.494446 133.585876 134.484222 135.530869 136.408997 137.45079 138.540222 139.541245 140.643753 141.795349 142.982864 144.135696 145.255829 146.614227 147.655853 148.994476 150.398911 151.966995 153.144897 154.29248 155.563965 157.031143 158.588348 160.258759 161.98764 163.805176 165.49881 167.248474 169.38028 171.839508 174.432617 177.64798 179.662094 182.894104 185.993271 190.442169 195.85202 204.169098 217.430725 382.729065 ------------------------------ Transdef: Tab for variable 10 0.0517990664 1.01893187 1.29865825 1.52073026 1.68262446 1.78734899 1.86893249 1.94948053 2.02962637 2.11145878 2.16169691 2.20443439 2.24683571 2.28375721 2.32304478 2.35684967 2.3861661 2.41863537 2.45201111 2.47560191 2.49682951 2.51974869 2.54727697 2.57500982 2.59537816 2.61367154 2.641186 2.66094923 2.67807055 2.69802856 2.71393752 2.73020458 2.74820042 2.76497364 2.78045416 2.79327202 2.804842 2.81998062 2.83265066 2.8462472 2.85782099 2.86830187 2.87937355 2.89071608 2.90022826 2.9090209 2.91631937 2.924752 2.93291068 2.93976259 2.94924164 2.95619822 2.96354318 2.97067022 2.97668791 2.9832325 2.99004102 2.99537563 3.00030661 3.00627708 3.00977087 3.01441216 3.01914883 3.02321672 3.02892447 3.03271008 3.03649855 3.04056835 3.04531264 3.04837847 3.05317783 3.05751801 3.0615778 3.06512737 3.06819677 3.07163525 3.07501221 3.07810163 3.08125544 3.08436346 3.08715534 3.08978939 3.09254313 3.09532928 3.09807038 3.10086775 3.1035428 3.10651398 3.10941839 3.11131477 3.11344814 3.1162262 3.11880088 3.12167001 3.12458658 3.12764931 3.13064241 3.13374138 3.13620996 3.13912225 3.14156747 ------------------------------ Transdef: Tab for variable 11 0.000105977058 0.00847101212 0.0186196566 0.0272061527 0.0345015526 0.0427358449 0.0500743389 0.057261467 0.0640585423 0.0713853836 0.0791785121 0.0838804245 0.0900654793 0.0963925645 0.101905227 0.110308409 0.116016388 0.12386708 0.128752381 0.133865118 0.140458405 0.144836426 0.149719119 0.155791163 0.160913855 0.166441783 0.171924263 0.177520275 0.182599187 0.18758899 0.193131745 0.197945952 0.202563047 0.2072227 0.21155864 0.215713501 0.220024705 0.222882688 0.227916598 0.232359767 0.235813379 0.240719438 0.244884685 0.248608112 0.25242877 0.256061286 0.260447502 0.264997333 0.268622994 0.272243738 0.276648521 0.281654418 0.286103487 0.291163564 0.295690477 0.299740016 0.303107917 0.308457345 0.313216925 0.318024874 0.322827578 0.327352762 0.331307799 0.336734831 0.341327459 0.345825434 0.350407958 0.355143875 0.36022684 0.367353141 0.373199791 0.378695786 0.384643704 0.391536683 0.399622321 0.405245304 0.413269162 0.418653071 0.424060613 0.43064332 0.438438952 0.447841465 0.456487298 0.464427471 0.472031236 0.480750203 0.491277963 0.504199207 0.512210965 0.521353424 0.533429027 0.545781136 0.560593665 0.578285336 0.602275491 0.624408364 0.648753524 0.677430272 0.720542073 0.805612266 1.12525487 ------------------------------ Transdef: Tab for variable 12 0.200011998 0.207303047 0.215243936 0.219147921 0.224640727 0.229349017 0.235489473 0.241912812 0.245724082 0.250848085 0.255016685 0.260299563 0.26620847 0.270972401 0.274936676 0.278553307 0.284276396 0.288718432 0.293031812 0.296438754 0.299824864 0.303516656 0.307008505 0.309863538 0.3129794 0.317080736 0.321523726 0.324633986 0.327419519 0.330508709 0.334314495 0.33834374 0.341846108 0.346078873 0.348885983 0.352958739 0.356298 0.360443771 0.364003897 0.368001908 0.372109592 0.376041591 0.379777193 0.383101553 0.387340248 0.39048636 0.394803405 0.398847103 0.401646227 0.406517655 0.41028887 0.414811432 0.418236673 0.421625197 0.426040173 0.429993331 0.43398428 0.439338624 0.443412125 0.447894096 0.452442259 0.457418084 0.46141541 0.46569711 0.469823509 0.473654211 0.478759468 0.483148634 0.487983674 0.492735803 0.498235524 0.505290389 0.510104179 0.514707208 0.521245122 0.528168559 0.534916043 0.54075098 0.547276258 0.553860188 0.559317946 0.567141891 0.573494911 0.58084178 0.590432346 0.600871742 0.609777391 0.619941711 0.628965259 0.638391733 0.648151636 0.660065353 0.676588535 0.690875053 0.710257649 0.730909228 0.75017345 0.78046155 0.828422546 0.893936276 1.12845647 ------------------------------ Transdef: Tab for variable 13 20.0516586 21.3047676 22.1831188 22.7961388 23.4241219 23.9456367 24.4750328 24.9501076 25.2991314 25.8226814 26.1941128 26.6245842 27.0126019 27.4320774 27.7410011 28.181221 28.5390663 28.946003 29.3987923 29.7360935 30.0826302 30.3882065 30.6792107 30.9895134 31.3256378 31.6687813 31.9930592 32.358036 32.7275009 33.0945282 33.3943672 33.7643471 34.1390381 34.5511932 34.8587875 35.2397575 35.5610809 35.9021149 36.2939758 36.57444 36.9713173 37.3639526 37.8044662 38.1891518 38.488121 38.885025 39.3198967 39.651783 40.1508102 40.6361046 41.0665588 41.560833 41.9454041 42.2789993 42.7147522 43.1109161 43.6630402 44.0310402 44.5400009 45.0524292 45.5272484 45.9333725 46.4205399 46.8798523 47.390831 48.0242996 48.6815109 49.1655045 49.7735138 50.3479424 51.0539856 51.6477089 52.2280045 52.9636726 53.7184448 54.4008484 55.1029358 56.0527534 56.855423 57.8770828 58.9244461 59.7488785 60.7503586 61.925724 62.845005 63.7616577 64.5887909 65.8698273 66.8763199 68.3234863 69.8937378 71.5564117 73.1927032 75.296936 77.5682678 79.890213 83.3956299 87.0543365 94.4155273 103.651543 201.326797 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.6387539 11.2297707 11.7080145 12.1097612 12.3367443 12.742548 13.0472202 13.3483734 13.6730309 14.0351896 14.3008547 14.6258411 14.8967953 15.1920748 15.4472361 15.6613445 15.9362993 16.193718 16.418787 16.7373619 16.9938774 17.2591133 17.5129204 17.8330345 18.0711346 18.3133907 18.5404091 18.7982254 19.0750008 19.3451614 19.6219215 19.8155518 20.0872211 20.3068466 20.5251427 20.7042198 20.9236984 21.1353226 21.3666916 21.5376682 21.6944122 21.8927517 22.0922546 22.2747993 22.4462776 22.6746311 22.8717098 23.042244 23.2089157 23.4538441 23.6530304 23.8231888 24.03022 24.2562065 24.4769478 24.6623955 24.9140644 25.1218929 25.3097267 25.459795 25.6887589 25.8992462 26.1150723 26.3393936 26.5658894 26.857933 27.1199245 27.305891 27.5791969 27.7865715 28.0998783 28.4518948 28.7712021 28.99403 29.271574 29.5601692 29.9089603 30.2791519 30.5328045 30.84408 31.2029839 31.58918 31.9128227 32.393528 32.7962189 33.367321 33.9127121 34.3856812 35.0838089 35.5593796 36.1393051 36.716362 37.8124771 38.9888229 40.4066925 42.000351 44.1367645 46.084404 49.4383774 78.7331161 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 54.1 38.2 31.6 31.5 46.5 48.6 43.6 53.0 -17.7 -15.2 -24.6 34.7 26.6 2 54.1 100.0 65.7 46.5 40.7 74.0 94.6 74.7 90.0 -39.2 -26.2 -42.6 61.1 39.9 3 38.2 65.7 100.0 33.8 20.9 44.2 65.3 57.4 76.7 -2.5 -31.1 -52.5 94.1 28.1 4 31.6 46.5 33.8 100.0 8.7 27.6 48.6 36.2 49.5 -5.0 -29.6 -49.8 32.0 90.1 5 31.5 40.7 20.9 8.7 100.0 86.2 11.4 64.4 64.0 29.1 -7.8 -9.9 18.6 7.0 6 46.5 74.0 44.2 27.6 86.2 100.0 51.5 82.4 85.2 0.8 -17.1 -26.3 40.8 23.5 7 48.6 94.6 65.3 48.6 11.4 51.5 100.0 62.0 76.5 -51.4 -26.5 -44.2 61.1 42.0 8 43.6 74.7 57.4 36.2 64.4 82.4 62.0 100.0 85.0 0.7 -23.8 -37.6 53.6 31.8 9 53.0 90.0 76.7 49.5 64.0 85.2 76.5 85.0 100.0 -8.0 -29.3 -48.2 71.7 42.6 10 -17.7 -39.2 -2.5 -5.0 29.1 0.8 -51.4 0.7 -8.0 100.0 3.2 2.5 -2.4 -4.4 11 -15.2 -26.2 -31.1 -29.6 -7.8 -17.1 -26.5 -23.8 -29.3 3.2 100.0 57.5 -28.3 -27.6 12 -24.6 -42.6 -52.5 -49.8 -9.9 -26.3 -44.2 -37.6 -48.2 2.5 57.5 100.0 -48.7 -41.1 13 34.7 61.1 94.1 32.0 18.6 40.8 61.1 53.6 71.7 -2.4 -28.3 -48.7 100.0 34.2 14 26.6 39.9 28.1 90.1 7.0 23.5 42.0 31.8 42.6 -4.4 -27.6 -41.1 34.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 136.675228 TOTAL CORRELATION OF ALL VARIABLES 56.7680714 ROUND 1: MAX CORR ( 56.7669965) AFTER KILLING INPUT VARIABLE 11 CONTR 0.349329865 ROUND 2: MAX CORR ( 56.7616853) AFTER KILLING INPUT VARIABLE 14 CONTR 0.77651921 ROUND 3: MAX CORR ( 56.7354789) AFTER KILLING INPUT VARIABLE 8 CONTR 1.72462878 ROUND 4: MAX CORR ( 56.7207731) AFTER KILLING INPUT VARIABLE 6 CONTR 1.29169017 ROUND 5: MAX CORR ( 56.7054088) AFTER KILLING INPUT VARIABLE 7 CONTR 1.32012126 ROUND 6: MAX CORR ( 56.6665311) AFTER KILLING INPUT VARIABLE 12 CONTR 2.09943758 ROUND 7: MAX CORR ( 56.6176003) AFTER KILLING INPUT VARIABLE 13 CONTR 2.35437535 ROUND 8: MAX CORR ( 56.3651092) AFTER KILLING INPUT VARIABLE 9 CONTR 5.34107955 ROUND 9: MAX CORR ( 55.9158958) AFTER KILLING INPUT VARIABLE 3 CONTR 7.1019807 ROUND 10: MAX CORR ( 55.7257295) AFTER KILLING INPUT VARIABLE 10 CONTR 4.60765341 ROUND 11: MAX CORR ( 55.0532482) AFTER KILLING INPUT VARIABLE 4 CONTR 8.63115238 ROUND 12: MAX CORR ( 54.0766652) AFTER KILLING INPUT VARIABLE 5 CONTR 10.3234891 LAST REMAINING VARIABLE: 2 total correlation to target: 56.7680714 % total significance: 36.5466224 sigma correlations of single variables to target: variable 2: 54.0766652 % , in sigma: 34.8139265 variable 3: 38.2280692 % , in sigma: 24.6107852 variable 4: 31.5541327 % , in sigma: 20.3141827 variable 5: 31.4635958 % , in sigma: 20.2558961 variable 6: 46.5283003 % , in sigma: 29.9543772 variable 7: 48.6109557 % , in sigma: 31.2951665 variable 8: 43.6429538 % , in sigma: 28.0968248 variable 9: 53.0353702 % , in sigma: 34.1435529 variable 10: -17.7098367 % , in sigma: 11.4013864 variable 11: -15.1989814 % , in sigma: 9.78492703 variable 12: -24.591584 % , in sigma: 15.831775 variable 13: 34.7118958 % , in sigma: 22.3471137 variable 14: 26.6298894 % , in sigma: 17.1440123 variables sorted by significance: 1 most relevant variable 2 corr 54.076664 , in sigma: 34.8139257 2 most relevant variable 5 corr 10.3234892 , in sigma: 6.64614196 3 most relevant variable 4 corr 8.63115215 , in sigma: 5.55663511 4 most relevant variable 10 corr 4.60765362 , in sigma: 2.96635367 5 most relevant variable 3 corr 7.10198069 , in sigma: 4.57217235 6 most relevant variable 9 corr 5.34107971 , in sigma: 3.43852484 7 most relevant variable 13 corr 2.35437536 , in sigma: 1.51571941 8 most relevant variable 12 corr 2.09943748 , in sigma: 1.35159337 9 most relevant variable 7 corr 1.32012129 , in sigma: 0.849878692 10 most relevant variable 6 corr 1.29169023 , in sigma: 0.831575109 11 most relevant variable 8 corr 1.72462881 , in sigma: 1.11029592 12 most relevant variable 14 corr 0.776519239 , in sigma: 0.499914032 13 most relevant variable 11 corr 0.349329859 , in sigma: 0.22489449 global correlations between input variables: variable 2: 99.6045006 % variable 3: 97.346245 % variable 4: 94.3569836 % variable 5: 97.0338484 % variable 6: 96.570287 % variable 7: 99.3749752 % variable 8: 90.1607119 % variable 9: 99.1959969 % variable 10: 76.3467179 % variable 11: 58.5385349 % variable 12: 73.356518 % variable 13: 95.7729918 % variable 14: 93.0284504 % significance loss when removing single variables: variable 2: corr = 2.23931343 % , sigma = 1.44164387 variable 3: corr = 6.37008783 % , sigma = 4.10098827 variable 4: corr = 6.22681763 % , sigma = 4.00875258 variable 5: corr = 7.93954623 % , sigma = 5.11138728 variable 6: corr = 1.7754018 % , sigma = 1.14298298 variable 7: corr = 1.94780172 % , sigma = 1.25397204 variable 8: corr = 1.67836008 % , sigma = 1.08050865 variable 9: corr = 3.97904948 % , sigma = 2.56166566 variable 10: corr = 6.2225595 % , sigma = 4.00601125 variable 11: corr = 0.349329865 % , sigma = 0.224894494 variable 12: corr = 1.7132741 % , sigma = 1.10298589 variable 13: corr = 1.73645913 % , sigma = 1.11791214 variable 14: corr = 0.730479641 % , sigma = 0.470274275 Keep only 5 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 6 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 9.69686127 sigma out 15 active outputs RANK 2 NODE 1 --> 7.63167667 sigma out 15 active outputs RANK 3 NODE 3 --> 5.8421092 sigma out 15 active outputs RANK 4 NODE 4 --> 5.74068451 sigma out 15 active outputs RANK 5 NODE 5 --> 5.08737326 sigma out 15 active outputs RANK 6 NODE 2 --> 4.74386978 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 8.47454262 sigma in 6act. ( 8.71551323 sig out 1act.) RANK 2 NODE 2 --> 6.41162586 sigma in 6act. ( 7.06327009 sig out 1act.) RANK 3 NODE 5 --> 5.91517782 sigma in 6act. ( 6.35292816 sig out 1act.) RANK 4 NODE 7 --> 5.85785627 sigma in 6act. ( 6.0544405 sig out 1act.) RANK 5 NODE 1 --> 5.11325788 sigma in 6act. ( 5.7006855 sig out 1act.) RANK 6 NODE 8 --> 4.63647509 sigma in 6act. ( 4.74739647 sig out 1act.) RANK 7 NODE 6 --> 3.32753992 sigma in 6act. ( 4.06561041 sig out 1act.) RANK 8 NODE 14 --> 3.32391262 sigma in 6act. ( 3.68864012 sig out 1act.) RANK 9 NODE 3 --> 1.99446762 sigma in 6act. ( 2.06229448 sig out 1act.) RANK 10 NODE 12 --> 1.71226466 sigma in 6act. ( 1.64550972 sig out 1act.) RANK 11 NODE 10 --> 1.65433872 sigma in 6act. ( 1.27527022 sig out 1act.) RANK 12 NODE 15 --> 1.58010519 sigma in 6act. ( 1.32247746 sig out 1act.) RANK 13 NODE 4 --> 1.20252407 sigma in 6act. ( 1.17478693 sig out 1act.) RANK 14 NODE 11 --> 1.09618485 sigma in 6act. ( 1.10626853 sig out 1act.) RANK 15 NODE 9 --> 0.978828311 sigma in 6act. ( 0.439606577 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 8.71551323 sigma out 1act.( 8.47454262 sig in 6act.) RANK 2 NODE 2 --> 7.06327009 sigma out 1act.( 6.41162586 sig in 6act.) RANK 3 NODE 5 --> 6.35292816 sigma out 1act.( 5.91517782 sig in 6act.) RANK 4 NODE 7 --> 6.0544405 sigma out 1act.( 5.85785627 sig in 6act.) RANK 5 NODE 1 --> 5.7006855 sigma out 1act.( 5.11325788 sig in 6act.) RANK 6 NODE 8 --> 4.74739647 sigma out 1act.( 4.63647509 sig in 6act.) RANK 7 NODE 6 --> 4.06561041 sigma out 1act.( 3.32753992 sig in 6act.) RANK 8 NODE 14 --> 3.68864012 sigma out 1act.( 3.32391262 sig in 6act.) RANK 9 NODE 3 --> 2.06229448 sigma out 1act.( 1.99446762 sig in 6act.) RANK 10 NODE 12 --> 1.64550972 sigma out 1act.( 1.71226466 sig in 6act.) RANK 11 NODE 15 --> 1.32247746 sigma out 1act.( 1.58010519 sig in 6act.) RANK 12 NODE 10 --> 1.27527022 sigma out 1act.( 1.65433872 sig in 6act.) RANK 13 NODE 4 --> 1.17478693 sigma out 1act.( 1.20252407 sig in 6act.) RANK 14 NODE 11 --> 1.10626853 sigma out 1act.( 1.09618485 sig in 6act.) RANK 15 NODE 9 --> 0.439606577 sigma out 1act.( 0.978828311 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.35425 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 14.3480549 sigma out 15 active outputs RANK 2 NODE 1 --> 9.81397724 sigma out 15 active outputs RANK 3 NODE 3 --> 8.07999992 sigma out 15 active outputs RANK 4 NODE 4 --> 7.13613653 sigma out 15 active outputs RANK 5 NODE 5 --> 6.89493561 sigma out 15 active outputs RANK 6 NODE 2 --> 5.89476109 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 8.52400017 sigma in 6act. ( 6.7153964 sig out 1act.) RANK 2 NODE 13 --> 7.74919844 sigma in 6act. ( 6.36582041 sig out 1act.) RANK 3 NODE 11 --> 7.36684513 sigma in 6act. ( 3.46733141 sig out 1act.) RANK 4 NODE 14 --> 6.83978748 sigma in 6act. ( 5.67038536 sig out 1act.) RANK 5 NODE 1 --> 6.83339691 sigma in 6act. ( 6.56468487 sig out 1act.) RANK 6 NODE 3 --> 6.36956072 sigma in 6act. ( 4.1016655 sig out 1act.) RANK 7 NODE 12 --> 5.91651964 sigma in 6act. ( 2.80968809 sig out 1act.) RANK 8 NODE 6 --> 5.87627649 sigma in 6act. ( 3.98799896 sig out 1act.) RANK 9 NODE 2 --> 5.84795189 sigma in 6act. ( 5.62477541 sig out 1act.) RANK 10 NODE 8 --> 5.33056927 sigma in 6act. ( 3.65105939 sig out 1act.) RANK 11 NODE 5 --> 4.67628098 sigma in 6act. ( 4.87933302 sig out 1act.) RANK 12 NODE 10 --> 3.23087835 sigma in 6act. ( 0.698062778 sig out 1act.) RANK 13 NODE 9 --> 2.48507023 sigma in 6act. ( 0.358096033 sig out 1act.) RANK 14 NODE 4 --> 2.31774139 sigma in 6act. ( 1.14587188 sig out 1act.) RANK 15 NODE 15 --> 1.91013384 sigma in 6act. ( 0.262241453 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 6.7153964 sigma out 1act.( 8.52400017 sig in 6act.) RANK 2 NODE 1 --> 6.56468487 sigma out 1act.( 6.83339691 sig in 6act.) RANK 3 NODE 13 --> 6.36582041 sigma out 1act.( 7.74919844 sig in 6act.) RANK 4 NODE 14 --> 5.67038536 sigma out 1act.( 6.83978748 sig in 6act.) RANK 5 NODE 2 --> 5.62477541 sigma out 1act.( 5.84795189 sig in 6act.) RANK 6 NODE 5 --> 4.87933302 sigma out 1act.( 4.67628098 sig in 6act.) RANK 7 NODE 3 --> 4.1016655 sigma out 1act.( 6.36956072 sig in 6act.) RANK 8 NODE 6 --> 3.98799896 sigma out 1act.( 5.87627649 sig in 6act.) RANK 9 NODE 8 --> 3.65105939 sigma out 1act.( 5.33056927 sig in 6act.) RANK 10 NODE 11 --> 3.46733141 sigma out 1act.( 7.36684513 sig in 6act.) RANK 11 NODE 12 --> 2.80968809 sigma out 1act.( 5.91651964 sig in 6act.) RANK 12 NODE 4 --> 1.14587188 sigma out 1act.( 2.31774139 sig in 6act.) RANK 13 NODE 10 --> 0.698062778 sigma out 1act.( 3.23087835 sig in 6act.) RANK 14 NODE 9 --> 0.358096033 sigma out 1act.( 2.48507023 sig in 6act.) RANK 15 NODE 15 --> 0.262241453 sigma out 1act.( 1.91013384 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.8608017 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.511411786 *** contribution from regularisation: 0.0104410714 *** contribution from error: -0.521852851 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.554234982 *** contribution from regularisation: 0.00442302832 *** contribution from error: -0.558658004 *********************************************** -----------------> Test sample ENTER BFGS code START -9885.45557 0.0781895295 0.0733967796 EXIT FROM BFGS code FG_START 0. 0.0781895295 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.564640939 *** contribution from regularisation: 0.0026546733 *** contribution from error: -0.567295611 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -10069.2419 0.0781895295 12.8480196 EXIT FROM BFGS code FG_LNSRCH 0. 0.119019248 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.575911403 *** contribution from regularisation: 0.00483092899 *** contribution from error: -0.580742359 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10270.2284 0.119019248 -4.98062897 EXIT FROM BFGS code NEW_X -10270.2284 0.119019248 -4.98062897 ENTER BFGS code NEW_X -10270.2284 0.119019248 -4.98062897 EXIT FROM BFGS code FG_LNSRCH 0. 0.108573511 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.577522993 *** contribution from regularisation: 0.0043481146 *** contribution from error: -0.581871092 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10298.9677 0.108573511 -1.83787298 EXIT FROM BFGS code NEW_X -10298.9677 0.108573511 -1.83787298 ENTER BFGS code NEW_X -10298.9677 0.108573511 -1.83787298 EXIT FROM BFGS code FG_LNSRCH 0. 0.102385111 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.577918053 *** contribution from regularisation: 0.00402424345 *** contribution from error: -0.58194232 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10306.0131 0.102385111 -0.565188885 EXIT FROM BFGS code NEW_X -10306.0131 0.102385111 -0.565188885 ENTER BFGS code NEW_X -10306.0131 0.102385111 -0.565188885 EXIT FROM BFGS code FG_LNSRCH 0. 0.0884236619 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.577899814 *** contribution from regularisation: 0.00363424257 *** contribution from error: -0.581534028 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10305.687 0.0884236619 2.11522961 EXIT FROM BFGS code FG_LNSRCH 0. 0.0982729942 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.577421606 *** contribution from regularisation: 0.00454601971 *** contribution from error: -0.581967652 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10297.1595 0.0982729942 0.484451413 EXIT FROM BFGS code FG_LNSRCH 0. 0.102147266 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.577923715 *** contribution from regularisation: 0.00402316777 *** contribution from error: -0.581946909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10306.1135 0.102147266 -0.506645858 EXIT FROM BFGS code FG_LNSRCH 0. 0.0995902494 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 10.1297035 sigma out 15 active outputs RANK 2 NODE 1 --> 6.19676447 sigma out 15 active outputs RANK 3 NODE 3 --> 4.37790442 sigma out 15 active outputs RANK 4 NODE 4 --> 4.12581968 sigma out 15 active outputs RANK 5 NODE 5 --> 3.63308048 sigma out 15 active outputs RANK 6 NODE 2 --> 3.0346508 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 6.21828938 sigma in 6act. ( 5.02129507 sig out 1act.) RANK 2 NODE 7 --> 5.49970818 sigma in 6act. ( 4.24830818 sig out 1act.) RANK 3 NODE 14 --> 5.20265055 sigma in 6act. ( 4.6371913 sig out 1act.) RANK 4 NODE 3 --> 5.06282043 sigma in 6act. ( 3.95847631 sig out 1act.) RANK 5 NODE 12 --> 4.35637093 sigma in 6act. ( 3.36297536 sig out 1act.) RANK 6 NODE 1 --> 4.33449507 sigma in 6act. ( 4.01827002 sig out 1act.) RANK 7 NODE 6 --> 3.3476429 sigma in 6act. ( 2.11693668 sig out 1act.) RANK 8 NODE 13 --> 2.59659886 sigma in 6act. ( 0.224745229 sig out 1act.) RANK 9 NODE 8 --> 2.41238856 sigma in 6act. ( 0.767990053 sig out 1act.) RANK 10 NODE 2 --> 2.13810658 sigma in 6act. ( 1.24574459 sig out 1act.) RANK 11 NODE 10 --> 1.7994405 sigma in 6act. ( 0.537951171 sig out 1act.) RANK 12 NODE 9 --> 1.71928287 sigma in 6act. ( 1.11881638 sig out 1act.) RANK 13 NODE 4 --> 1.6350162 sigma in 6act. ( 1.17301774 sig out 1act.) RANK 14 NODE 5 --> 1.37245965 sigma in 6act. ( 0.883334458 sig out 1act.) RANK 15 NODE 15 --> 1.06636548 sigma in 6act. ( 0.431694627 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 5.02129507 sigma out 1act.( 6.21828938 sig in 6act.) RANK 2 NODE 14 --> 4.6371913 sigma out 1act.( 5.20265055 sig in 6act.) RANK 3 NODE 7 --> 4.24830818 sigma out 1act.( 5.49970818 sig in 6act.) RANK 4 NODE 1 --> 4.01827002 sigma out 1act.( 4.33449507 sig in 6act.) RANK 5 NODE 3 --> 3.95847631 sigma out 1act.( 5.06282043 sig in 6act.) RANK 6 NODE 12 --> 3.36297536 sigma out 1act.( 4.35637093 sig in 6act.) RANK 7 NODE 6 --> 2.11693668 sigma out 1act.( 3.3476429 sig in 6act.) RANK 8 NODE 2 --> 1.24574459 sigma out 1act.( 2.13810658 sig in 6act.) RANK 9 NODE 4 --> 1.17301774 sigma out 1act.( 1.6350162 sig in 6act.) RANK 10 NODE 9 --> 1.11881638 sigma out 1act.( 1.71928287 sig in 6act.) RANK 11 NODE 5 --> 0.883334458 sigma out 1act.( 1.37245965 sig in 6act.) RANK 12 NODE 8 --> 0.767990053 sigma out 1act.( 2.41238856 sig in 6act.) RANK 13 NODE 10 --> 0.537951171 sigma out 1act.( 1.7994405 sig in 6act.) RANK 14 NODE 15 --> 0.431694627 sigma out 1act.( 1.06636548 sig in 6act.) RANK 15 NODE 13 --> 0.224745229 sigma out 1act.( 2.59659886 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.8833857 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.577837884 *** contribution from regularisation: 0.00413393928 *** contribution from error: -0.581971824 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -10304.5827 0.0995902494 0.0675768107 EXIT FROM BFGS code FG_LNSRCH 0. 0.101833813 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.577781558 *** contribution from regularisation: 0.00417014863 *** contribution from error: -0.581951678 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10303.5787 0.101833813 -0.356754929 EXIT FROM BFGS code FG_LNSRCH 0. 0.102141462 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.577838421 *** contribution from regularisation: 0.00410864409 *** contribution from error: -0.581947088 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10304.5927 0.102141462 -0.451306581 EXIT FROM BFGS code FG_LNSRCH 0. 0.102147266 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.577763081 *** contribution from regularisation: 0.00418380694 *** contribution from error: -0.581946909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -10303.2488 0.102147266 -0.422065198 EXIT FROM BFGS code NEW_X -10303.2488 0.102147266 -0.422065198 ENTER BFGS code NEW_X -10303.2488 0.102147266 -0.422065198 EXIT FROM BFGS code CONVERGENC -10303.2488 0.102147266 -0.422065198 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 16.1726398 sigma out 15 active outputs RANK 2 NODE 1 --> 10.3829107 sigma out 15 active outputs RANK 3 NODE 4 --> 6.44407701 sigma out 15 active outputs RANK 4 NODE 3 --> 6.34847641 sigma out 15 active outputs RANK 5 NODE 5 --> 5.31896973 sigma out 15 active outputs RANK 6 NODE 2 --> 5.12798309 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 10.3412123 sigma in 6act. ( 9.47872448 sig out 1act.) RANK 2 NODE 7 --> 9.397892 sigma in 6act. ( 8.11975384 sig out 1act.) RANK 3 NODE 14 --> 8.79126644 sigma in 6act. ( 8.70841885 sig out 1act.) RANK 4 NODE 3 --> 8.55815983 sigma in 6act. ( 7.41359138 sig out 1act.) RANK 5 NODE 1 --> 7.46933413 sigma in 6act. ( 7.51986551 sig out 1act.) RANK 6 NODE 12 --> 6.7874074 sigma in 6act. ( 6.48419189 sig out 1act.) RANK 7 NODE 6 --> 4.40638828 sigma in 6act. ( 4.06005239 sig out 1act.) RANK 8 NODE 2 --> 2.6967752 sigma in 6act. ( 2.22467685 sig out 1act.) RANK 9 NODE 8 --> 2.66369605 sigma in 6act. ( 1.48066103 sig out 1act.) RANK 10 NODE 13 --> 2.60415483 sigma in 6act. ( 0.320716083 sig out 1act.) RANK 11 NODE 9 --> 2.22861886 sigma in 6act. ( 1.68002617 sig out 1act.) RANK 12 NODE 4 --> 2.1402142 sigma in 6act. ( 1.83879769 sig out 1act.) RANK 13 NODE 10 --> 1.93511856 sigma in 6act. ( 0.91527456 sig out 1act.) RANK 14 NODE 5 --> 1.71953857 sigma in 6act. ( 1.37208605 sig out 1act.) RANK 15 NODE 15 --> 1.14549756 sigma in 6act. ( 0.608333051 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 9.47872448 sigma out 1act.( 10.3412123 sig in 6act.) RANK 2 NODE 14 --> 8.70841885 sigma out 1act.( 8.79126644 sig in 6act.) RANK 3 NODE 7 --> 8.11975384 sigma out 1act.( 9.397892 sig in 6act.) RANK 4 NODE 1 --> 7.51986551 sigma out 1act.( 7.46933413 sig in 6act.) RANK 5 NODE 3 --> 7.41359138 sigma out 1act.( 8.55815983 sig in 6act.) RANK 6 NODE 12 --> 6.48419189 sigma out 1act.( 6.7874074 sig in 6act.) RANK 7 NODE 6 --> 4.06005239 sigma out 1act.( 4.40638828 sig in 6act.) RANK 8 NODE 2 --> 2.22467685 sigma out 1act.( 2.6967752 sig in 6act.) RANK 9 NODE 4 --> 1.83879769 sigma out 1act.( 2.1402142 sig in 6act.) RANK 10 NODE 9 --> 1.68002617 sigma out 1act.( 2.22861886 sig in 6act.) RANK 11 NODE 8 --> 1.48066103 sigma out 1act.( 2.66369605 sig in 6act.) RANK 12 NODE 5 --> 1.37208605 sigma out 1act.( 1.71953857 sig in 6act.) RANK 13 NODE 10 --> 0.91527456 sigma out 1act.( 1.93511856 sig in 6act.) RANK 14 NODE 15 --> 0.608333051 sigma out 1act.( 1.14549756 sig in 6act.) RANK 15 NODE 13 --> 0.320716083 sigma out 1act.( 2.60415483 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 20.4496975 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.577827156 *** contribution from regularisation: 0.00411971379 *** contribution from error: -0.58194685 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23570 Closing output file done