NNInput NNInputs_175.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 11397 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 = 2630 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 2630 Chosen entries: 2630 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.299989 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 2630 Entries to split: 2630 Test with : 1315 Train with : 1315 ********************************************* * 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= 2630 for Signal Prepared event 0 for Signal with 2630 events ====Entry 0 Variable Ht : 230.168 Variable LepAPt : 35.4165 Variable LepBPt : 28.2645 Variable MetSigLeptonsJets : 9.20427 Variable MetSpec : 103.565 Variable SumEtLeptonsJets : 126.603 Variable VSumJetLeptonsPt : 94.8554 Variable addEt : 167.246 Variable dPhiLepSumMet : 2.31737 Variable dPhiLeptons : 0.30249 Variable dRLeptons : 0.497275 Variable lep1_E : 35.4355 Variable lep2_E : 30.1384 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2175 Ht = 230.168 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 35.4168 LepAPt = 35.4165 LepBEt = 28.2648 LepBPt = 28.2645 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 103.565 MetDelPhi = 2.18324 MetSig = 7.32524 MetSigLeptonsJets = 9.20427 MetSpec = 103.565 Mjj = 0 MostCentralJetEta = 1.85856 MtllMet = 168.882 Njets = 1 SB = 0 SumEt = 199.884 SumEtJets = 0 SumEtLeptonsJets = 126.603 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 94.8554 addEt = 167.246 dPhiLepSumMet = 2.31737 dPhiLeptons = 0.30249 dRLeptons = 0.497275 diltype = 41 dimass = 15.7783 event = 179 jet1_Et = 62.9218 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 35.4355 lep2_E = 30.1384 rand = 0.999742 run = 236543 weight = 2.31307e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 3.40612 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 323 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 11397 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 323 negative weights. Signal fraction: 64.6469803 % ------------------------------ 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 58.1729546 67.2503815 68.3505249 70.1766663 70.2539062 70.5457001 73.9544678 75.326004 75.5471725 79.5027008 79.662674 79.7730713 80.6521149 81.2953491 82.4071045 84.5176544 84.7181549 86.2711258 88.5241928 88.5522385 89.2397995 89.2844696 91.1056061 91.1165543 91.6173019 91.9643707 92.0147095 93.0962143 93.3360748 95.1958618 95.2896957 96.634407 97.2866974 98.0358887 100.217468 100.226799 101.538177 102.124611 102.438065 104.09436 105.833679 105.951096 106.269821 106.854195 108.284866 109.203339 109.528664 110.54982 112.089478 113.754814 115.353317 116.40683 117.824799 119.516373 120.798264 121.001007 121.896744 123.135742 124.012192 125.418808 126.846375 128.133698 128.894562 129.809814 131.509903 132.805817 134.279266 135.987732 138.19487 139.377945 140.336334 142.084167 143.372894 145.240021 147.354523 148.700104 150.489059 152.177597 153.854675 155.75386 157.658401 159.937836 162.013214 165.586517 168.376877 170.496307 174.329346 177.307648 179.810638 184.890381 189.552353 193.020096 197.509567 202.789124 210.545471 219.18631 227.935791 241.081726 259.85553 299.162354 588.57666 ------------------------------ Transdef: Tab for variable 3 20.0001698 21.1445675 21.4181252 21.5811005 22.0090294 22.4823837 22.583622 22.8639984 23.1181488 23.2076855 23.5903912 23.7131729 24.0793037 24.5127144 24.911253 25.1081772 25.2568474 25.5088081 25.6727676 25.9178429 26.2050362 26.6016521 26.656847 26.9532089 26.9954205 27.1224632 27.2263641 27.4940224 27.6212654 27.639101 27.7106514 27.9249477 28.060276 28.1497173 28.5521431 28.5582676 29.045454 29.1283245 29.3689938 29.3749504 29.7357922 30.1018791 30.434412 30.5438805 30.6571388 30.946022 31.0942707 31.2395439 31.4700851 31.7422371 31.9137383 31.9737606 32.118763 32.1462364 32.6265678 32.8723221 33.2909927 33.5969086 33.896019 34.1371384 34.1743965 34.4148026 34.4203682 34.796772 35.1695938 35.5165138 35.9041061 36.2686272 36.4819794 36.8532486 36.8561287 37.3108597 37.5641212 37.7184753 38.34758 38.8137589 39.1609344 39.6887665 39.9820709 40.0439186 40.4557838 40.4619789 40.7922287 41.3751221 41.7578201 42.4033203 42.847393 43.471077 44.1050568 44.581543 45.2963028 46.01931 46.9104004 47.5960236 48.8179855 49.9245758 51.4871826 53.283432 55.4622993 59.3148422 83.3832016 ------------------------------ Transdef: Tab for variable 4 10.0103779 10.3606167 10.3762302 10.3774252 10.5276489 10.5897751 10.7263813 10.8697243 10.8904676 10.9971075 11.1883116 11.2112961 11.3006897 11.3804741 11.4163132 11.42062 11.4378223 11.6534405 11.686574 11.8321753 12.0913792 12.3275776 12.3537045 12.6544037 12.8671818 13.2308731 13.3589077 13.4754333 13.6654377 13.6940937 13.8745918 13.9573765 14.087368 14.3795662 14.4180317 14.7641029 14.9938679 15.2580385 15.2897987 15.3595533 15.448123 15.5520325 15.8519154 15.8564425 16.098484 16.4355125 16.4379253 16.5916233 16.6900406 17.0314674 17.3132324 17.7837601 18.1294746 18.4037094 18.6783142 18.7529335 19.1971016 19.5727806 19.9459934 20.1361809 20.327774 20.5093727 20.685173 20.8611145 21.136425 21.1521072 21.3086815 21.5345116 21.7499943 21.9338379 21.9566689 22.2177982 22.4367142 22.6633568 22.9621124 23.2629166 23.4691658 23.75741 23.9313354 24.0775795 24.372694 24.6393738 24.8385391 25.2153625 25.4495201 25.7638721 26.2854347 26.5896683 26.940361 27.2896805 27.5655136 27.9336815 28.3701916 28.7496147 29.359993 29.9298306 30.7623329 31.3282433 31.9726639 33.739212 36.4969482 ------------------------------ Transdef: Tab for variable 5 2.18448329 3.06607151 3.29785633 3.30445147 3.78794289 4.02174568 4.18223095 4.20751476 4.44319344 4.59323215 4.61702394 4.75932884 4.79897499 5.01234484 5.13955307 5.15501451 5.18913746 5.27329922 5.2737875 5.38129044 5.54410696 5.68740845 5.78598499 5.82483292 5.83799124 5.90108299 6.04549408 6.10355091 6.16432381 6.1789875 6.21083307 6.26224804 6.27483845 6.3396244 6.34966946 6.45676041 6.48846674 6.5010004 6.51142597 6.57893944 6.65194321 6.65956259 6.73008823 6.80507755 6.88898468 6.96656656 6.96696758 6.97224331 7.02682304 7.0469203 7.12105274 7.16629887 7.19217253 7.24845505 7.29258919 7.2962122 7.31017303 7.34429264 7.40999985 7.42688751 7.45656586 7.50531673 7.58258057 7.6188097 7.64264536 7.68906307 7.70404005 7.7818222 7.84704065 7.89981461 7.9698 8.02381706 8.09831429 8.13925171 8.19267273 8.26224995 8.31865501 8.39884377 8.47129726 8.47887897 8.53465748 8.62286758 8.68761444 8.75650883 8.84425926 8.92462158 9.01331425 9.12193489 9.22187424 9.3453064 9.43796158 9.58235455 9.75838852 9.90265083 10.1009512 10.3767242 10.6448364 10.9600534 11.4252796 12.3289108 15.3669872 ------------------------------ Transdef: Tab for variable 6 25.026516 27.2840786 27.7721329 28.7776775 29.3586159 29.8686256 31.2353363 31.3853245 31.9043064 32.7351837 33.9232635 34.7801247 34.8487968 35.5306091 35.9221649 36.4841995 36.4921379 36.7561951 37.8185806 37.8270493 38.04105 38.6612167 39.8000641 39.8615265 40.280571 40.8618088 41.8078156 42.0815125 42.6025391 42.7742424 42.9127121 43.685997 43.7578735 44.7560349 44.8715668 45.8056908 46.5219002 46.7974243 46.8164062 47.5437393 47.7915344 48.1207428 48.5879288 48.8811264 49.2468033 49.9756165 50.0129776 50.5267181 50.963192 51.2242966 51.9230957 52.7989655 53.2421341 53.2829704 54.1083374 54.6945114 55.3087845 55.992897 56.8952141 56.97332 57.51614 58.139473 58.75354 59.5477142 60.4301224 60.917881 61.6645203 62.5054703 63.3855667 64.0043335 64.6882629 65.6222992 66.5025558 67.1599426 67.994873 68.8231277 69.8549652 70.7705231 71.4107819 72.115036 73.1506195 74.314003 75.1225891 76.396904 77.7185059 78.5865555 79.5121994 81.2987823 82.9248657 84.4097519 85.5624084 88.4063339 90.7001724 93.5471039 97.341095 99.9664688 104.162201 109.520401 116.206833 129.672363 187.419128 ------------------------------ Transdef: Tab for variable 7 30.4153633 32.4569397 33.7945938 35.9196205 36.8697052 37.0674744 37.5012054 38.0253677 38.1981354 38.3010254 39.5196762 40.3705063 40.4002037 40.9810867 40.9812202 41.4899597 41.6132278 41.9658508 42.0888786 43.0867233 43.1633568 43.4916306 44.3521652 44.5940895 45.145874 45.1501236 45.3929672 45.4808159 46.2077255 47.216713 47.2754974 48.008934 49.2437782 50.3304749 50.5732346 51.2925339 52.0162582 52.7165794 53.0271301 53.258812 54.3136559 55.3422928 56.0431633 56.8443031 57.7744064 58.7793045 58.9006271 59.5436935 60.1555557 61.1434059 61.3075218 61.7842331 62.6310616 63.3361588 63.8083038 63.9726944 64.9737396 65.6881027 66.4391708 67.0641785 67.7042084 68.5111694 69.4803696 70.3819046 71.4304047 71.9956207 72.1536102 73.1227112 73.3690948 74.1088791 75.4279709 76.462326 77.3715057 78.6016541 79.8709335 81.1490326 82.3349609 83.7482605 85.8404999 87.6025696 88.796875 90.1407928 91.6152496 92.2054901 93.9751053 96.6352692 98.6230164 100.229446 101.990273 104.545799 107.567703 110.13546 113.793159 119.910667 124.288864 131.046478 138.909393 146.455505 159.376282 186.166992 350.931671 ------------------------------ Transdef: Tab for variable 8 8.55078316 29.6633339 30.2339096 32.173912 32.7736511 33.9003448 34.0588989 34.9802742 36.2536469 36.411499 36.5228806 36.609726 36.8707581 36.8987312 37.0727806 37.2721939 38.0207825 38.1445541 38.5784378 39.0863838 39.3407402 39.7924347 40.4268684 40.8079758 40.9338493 41.2121353 41.3101273 41.7049942 41.8178406 42.0591278 42.095108 42.4340439 43.1811829 43.2589264 43.6854401 43.8002625 44.1600113 44.2798424 44.2895393 44.5210495 45.2170715 45.4078712 46.214283 46.8296852 47.5994644 48.1874695 48.6790237 49.2690735 49.3870697 49.9472961 50.5271683 51.0571671 51.5952225 52.1859856 52.7987823 53.0177612 53.4589615 53.9026299 54.4384766 55.1149902 55.7780762 56.3600044 57.1205063 57.8156357 58.4242172 58.9397812 59.4351692 60.0598679 60.8775711 61.4332886 62.2164154 62.7664566 63.2091675 63.9146957 64.767334 65.2439423 65.8688354 66.2496185 67.0355072 67.7042847 68.6207047 69.5340805 70.3853302 71.4086761 72.1957092 73.2740936 74.4364624 76.2624817 77.2989807 78.6060028 81.1180878 82.8642273 85.012619 87.8433533 91.0935211 94.1499557 100.137505 106.636185 113.515152 128.752838 243.85025 ------------------------------ Transdef: Tab for variable 9 56.5870285 67.2503815 68.3505249 70.1931915 70.2088394 70.3632812 71.9299393 73.9544678 74.4224167 75.5462418 76.4445038 77.0162659 78.7061462 78.8943329 79.6417618 79.7666626 79.7868118 80.6521149 81.2274933 81.2953491 82.9499969 84.5176544 84.9843521 86.2057343 87.5092468 88.5262909 89.1362 89.2325592 89.2844696 89.6468124 90.4174728 90.4258881 91.1164703 91.614418 91.7677307 91.9674072 92.0170822 93.0962143 93.1803284 95.068222 95.6415253 96.8547363 98.0645828 99.3967438 100.887054 101.533844 102.030045 102.125275 103.045944 104.098679 105.250946 106.26265 106.607971 107.243561 108.354996 109.378433 110.299606 111.098885 112.350479 113.618134 114.636047 115.629959 116.527847 117.282562 118.629074 119.807961 121.178581 122.160294 123.191795 124.169678 125.352325 126.66143 127.660393 128.592529 129.369293 130.13501 131.729218 132.94957 134.101837 135.63443 137.26738 138.38623 139.619965 140.59668 142.05072 143.444 144.880585 146.696045 148.018616 149.463272 151.147522 153.262665 154.800568 156.264008 159.158157 161.002579 164.697571 168.865753 172.838531 181.748032 309.582306 ------------------------------ Transdef: Tab for variable 10 0.323437154 1.05545616 1.42773247 1.65059698 1.78080475 1.89655876 1.93124628 2.02262831 2.13506413 2.19913244 2.27992678 2.32634759 2.34568477 2.3995893 2.44305038 2.4982357 2.53254461 2.56525707 2.60131812 2.61227846 2.61838245 2.61862826 2.6192615 2.63564777 2.66943192 2.69611835 2.71339512 2.73925304 2.76190567 2.7735095 2.77707481 2.77890706 2.79396868 2.80900383 2.82197905 2.82523227 2.8326025 2.83978271 2.84817839 2.86114693 2.87106609 2.87193346 2.88607597 2.89645815 2.89711905 2.91875458 2.93520451 2.94212866 2.94967413 2.9533968 2.96579742 2.96582437 2.97545815 2.98149371 2.9876895 2.98909092 2.99681187 3.00283647 3.00751352 3.01463413 3.01469636 3.02209234 3.02716613 3.02825332 3.03357172 3.03558373 3.0395515 3.04209566 3.04437828 3.04992557 3.05388546 3.0552721 3.06001234 3.06440639 3.06856775 3.07573605 3.08021402 3.08344221 3.08350205 3.08700418 3.09280038 3.09483743 3.09635329 3.09660649 3.09939623 3.10523534 3.10914183 3.10971928 3.11124682 3.11425424 3.11551785 3.11611533 3.1185782 3.12199068 3.12486506 3.1282444 3.12909293 3.13051367 3.13236737 3.13578415 3.14155436 ------------------------------ Transdef: Tab for variable 11 0.000272750854 0.00456440449 0.00771546364 0.0219757557 0.0292929411 0.0374727249 0.0409388542 0.0532925129 0.0669777989 0.0791950226 0.089453876 0.0975279808 0.100988299 0.11316967 0.125328138 0.136916876 0.141782284 0.146527886 0.154163361 0.154916406 0.165875196 0.178682476 0.183697015 0.191840887 0.201399326 0.20838356 0.209551454 0.213338211 0.219274282 0.227261484 0.235312223 0.244734287 0.245247304 0.254536986 0.261866093 0.271439552 0.278884649 0.27890873 0.285778999 0.287508816 0.295681387 0.306004643 0.315263569 0.324848294 0.330235004 0.337441325 0.33997494 0.345152974 0.345189095 0.350184351 0.357016563 0.364806056 0.374998301 0.383267671 0.386787534 0.389995098 0.396350503 0.401107073 0.404570103 0.410393894 0.415272206 0.420176744 0.424443305 0.426398396 0.428908587 0.43387574 0.441820264 0.448042154 0.457014441 0.460069358 0.460246205 0.464716256 0.468912005 0.474303812 0.484762818 0.493553877 0.503401995 0.509526193 0.511814773 0.522197723 0.522789657 0.523607016 0.524089813 0.530171871 0.532962561 0.534357071 0.543294907 0.544780493 0.555745125 0.570466101 0.579617441 0.585424304 0.621002436 0.633391857 0.647512913 0.696374178 0.712171972 0.712736487 0.749279737 0.883980572 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.211730883 0.229011357 0.245130986 0.261999637 0.304512054 0.347894639 0.39708358 0.401929885 0.404602349 0.407218426 0.409144223 0.411172509 0.413539767 0.41596669 0.418838203 0.420416623 0.421717435 0.424059689 0.426721573 0.429204226 0.430853873 0.432991594 0.43567282 0.437532514 0.440170527 0.443169951 0.445363045 0.447712183 0.45044446 0.453222096 0.456595361 0.460154116 0.463949651 0.467346549 0.468809456 0.471792996 0.474228561 0.477212995 0.480953366 0.484565914 0.489092022 0.493257672 0.495915115 0.498378724 0.500550628 0.50251615 0.507533789 0.511685967 0.515516341 0.517946005 0.519863129 0.523651004 0.525644541 0.53204155 0.536539197 0.540017843 0.544018269 0.547032714 0.54926008 0.552336574 0.553443789 0.558814764 0.5643332 0.568255305 0.575569153 0.57724154 0.579919934 0.580769002 0.588292062 0.593857527 0.595324516 0.599104643 0.607827604 0.619046926 0.620240092 0.62666738 0.63316375 0.634269238 0.643418014 0.65199244 0.660378098 0.668513417 0.675214291 0.678402066 0.685027719 0.693041086 0.697404742 0.698751509 0.714646399 0.716268063 0.732063353 0.743114352 0.748703957 0.75288558 0.770816743 0.771338284 0.786783636 0.832898974 0.992606878 1.13414526 ------------------------------ Transdef: Tab for variable 13 20.0277634 23.0090599 23.7518826 23.9924431 24.3014278 24.7631054 24.9748249 25.1587982 25.562542 26.1042633 26.7847042 27.0184517 27.1350269 27.3609505 27.6436996 27.8618851 28.0852375 28.6546879 28.8645916 29.2385445 29.325943 29.4241333 29.7734795 29.7968845 30.4153786 30.4475136 30.5591202 30.6765671 30.9187355 31.2789288 31.6264954 31.9664345 32.0551186 32.2993011 32.6029778 32.6829376 32.9690666 33.2502136 33.5743523 33.7984848 34.0190697 34.4147873 34.4445992 34.5438995 34.7230377 34.9051781 35.2545776 35.38694 35.6261749 36.1198883 36.3280678 36.4177055 36.7516174 37.2532158 37.2697678 37.8752098 38.1301765 38.3842545 38.7022133 39.0017242 39.2702789 39.5837593 39.5957794 39.9958229 40.5671463 40.9415321 41.1954956 41.4622421 41.8372688 42.4321747 42.626545 42.8463364 43.2849503 43.9610825 44.5414352 44.9212799 45.4933243 46.2122421 46.9765778 47.0935898 47.4686966 48.100853 48.9595032 49.651329 50.6666985 51.4003029 52.2651749 52.9051743 53.9173126 54.6017456 55.4268951 56.7345047 58.2319374 59.3543701 61.670311 63.3171005 65.8115387 67.9893646 71.4888535 79.4298706 109.820335 ------------------------------ Transdef: Tab for variable 14 10.0873671 10.7198963 11.0781374 11.2471952 11.3127441 11.3961935 11.497015 11.5439339 11.7281876 11.7955475 12.1514454 12.2977943 12.418684 12.5469007 12.6838741 12.9003725 13.4733372 13.5392609 13.6197634 14.0090904 14.5085974 14.7477551 15.2204189 15.4019718 15.5816174 15.8045769 16.2693729 16.5955505 16.5991058 16.9544411 17.0438576 17.1861038 17.6419525 18.0945816 18.250906 18.3212624 18.6279755 18.6966667 19.0270691 19.2108593 19.3744011 19.8043518 20.1940346 20.5829773 20.9370956 21.2189598 21.3209114 21.4703979 21.7821159 21.9334106 22.053936 22.3870945 22.6567478 23.0127792 23.3094025 23.5672188 23.704834 23.8444633 24.1543503 24.4560852 24.7666416 24.9946671 25.2707253 25.3094635 25.5663872 25.7931156 25.8926964 26.0727634 26.4248009 26.7063141 26.9215584 27.2389183 27.5843353 27.9465179 28.2732506 28.6446018 28.9517326 29.4837189 29.8259239 30.4665642 30.9290771 31.2685318 31.7235565 32.1892929 32.6010094 33.0959244 33.6006966 33.9805107 34.2193298 34.6160736 35.4477768 36.0812073 36.8418808 37.9271088 39.0698776 39.9945412 41.1565018 42.8953285 46.6128311 49.9825821 65.4020844 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 58.9 29.7 47.2 34.1 49.5 52.5 53.9 58.2 -14.8 -14.4 -13.0 32.3 42.9 2 58.9 100.0 47.8 49.3 44.7 72.9 93.7 79.9 89.5 -37.9 -31.0 -31.2 46.2 40.5 3 29.7 47.8 100.0 17.5 12.1 27.4 49.1 42.9 56.6 1.2 -19.5 -29.6 84.9 9.3 4 47.2 49.3 17.5 100.0 26.4 40.6 44.8 50.7 55.2 -3.1 -29.3 -50.2 23.5 81.8 5 34.1 44.7 12.1 26.4 100.0 88.2 13.1 62.0 71.3 28.0 -3.1 2.5 9.4 21.3 6 49.5 72.9 27.4 40.6 88.2 100.0 48.5 82.7 87.9 4.3 -14.1 -8.7 25.4 33.9 7 52.5 93.7 49.1 44.8 13.1 48.5 100.0 68.3 73.2 -52.4 -32.6 -36.2 48.1 37.0 8 53.9 79.9 42.9 50.7 62.0 82.7 68.3 100.0 87.7 -4.9 -24.2 -28.3 39.8 41.0 9 58.2 89.5 56.6 55.2 71.3 87.9 73.2 87.7 100.0 -7.3 -24.8 -28.1 51.9 44.1 10 -14.8 -37.9 1.2 -3.1 28.0 4.3 -52.4 -4.9 -7.3 100.0 13.6 9.7 -3.3 -5.6 11 -14.4 -31.0 -19.5 -29.3 -3.1 -14.1 -32.6 -24.2 -24.8 13.6 100.0 50.3 -17.7 -27.7 12 -13.0 -31.2 -29.6 -50.2 2.5 -8.7 -36.2 -28.3 -28.1 9.7 50.3 100.0 -29.7 -37.2 13 32.3 46.2 84.9 23.5 9.4 25.4 48.1 39.8 51.9 -3.3 -17.7 -29.7 100.0 32.4 14 42.9 40.5 9.3 81.8 21.3 33.9 37.0 41.0 44.1 -5.6 -27.7 -37.2 32.4 100.0 TOTAL CORRELATION TO TARGET (diagonal) 150.741724 TOTAL CORRELATION OF ALL VARIABLES 66.1608071 ROUND 1: MAX CORR ( 66.1497756) AFTER KILLING INPUT VARIABLE 7 CONTR 1.20813667 ROUND 2: MAX CORR ( 66.1414249) AFTER KILLING INPUT VARIABLE 6 CONTR 1.05105844 ROUND 3: MAX CORR ( 66.1216106) AFTER KILLING INPUT VARIABLE 13 CONTR 1.61885477 ROUND 4: MAX CORR ( 66.1015156) AFTER KILLING INPUT VARIABLE 10 CONTR 1.63003819 ROUND 5: MAX CORR ( 66.0703436) AFTER KILLING INPUT VARIABLE 11 CONTR 2.02979271 ROUND 6: MAX CORR ( 65.7279994) AFTER KILLING INPUT VARIABLE 8 CONTR 6.71717238 ROUND 7: MAX CORR ( 65.4116931) AFTER KILLING INPUT VARIABLE 9 CONTR 6.44052082 ROUND 8: MAX CORR ( 65.2593341) AFTER KILLING INPUT VARIABLE 5 CONTR 4.46193988 ROUND 9: MAX CORR ( 64.9134995) AFTER KILLING INPUT VARIABLE 14 CONTR 6.70956569 ROUND 10: MAX CORR ( 64.5056134) AFTER KILLING INPUT VARIABLE 3 CONTR 7.26555264 ROUND 11: MAX CORR ( 62.5118189) AFTER KILLING INPUT VARIABLE 12 CONTR 15.9137256 ROUND 12: MAX CORR ( 58.9205865) AFTER KILLING INPUT VARIABLE 4 CONTR 20.8828156 LAST REMAINING VARIABLE: 2 total correlation to target: 66.1608071 % total significance: 29.8507081 sigma correlations of single variables to target: variable 2: 58.9205865 % , in sigma: 26.5840352 variable 3: 29.6716644 % , in sigma: 13.3873849 variable 4: 47.1983164 % , in sigma: 21.2951327 variable 5: 34.0631703 % , in sigma: 15.3687628 variable 6: 49.4818759 % , in sigma: 22.3254385 variable 7: 52.5133741 % , in sigma: 23.6932025 variable 8: 53.8903023 % , in sigma: 24.3144507 variable 9: 58.2272078 % , in sigma: 26.2711937 variable 10: -14.7806552 % , in sigma: 6.66879749 variable 11: -14.4199391 % , in sigma: 6.50604808 variable 12: -13.0286555 % , in sigma: 5.87832298 variable 13: 32.312152 % , in sigma: 14.5787311 variable 14: 42.9201243 % , in sigma: 19.3648802 variables sorted by significance: 1 most relevant variable 2 corr 58.9205856 , in sigma: 26.5840348 2 most relevant variable 4 corr 20.8828163 , in sigma: 9.4219959 3 most relevant variable 12 corr 15.9137259 , in sigma: 7.180021 4 most relevant variable 3 corr 7.26555252 , in sigma: 3.2781022 5 most relevant variable 14 corr 6.70956564 , in sigma: 3.02724973 6 most relevant variable 5 corr 4.46193981 , in sigma: 2.01315656 7 most relevant variable 9 corr 6.44052076 , in sigma: 2.90586094 8 most relevant variable 8 corr 6.71717262 , in sigma: 3.03068188 9 most relevant variable 11 corr 2.02979279 , in sigma: 0.915810349 10 most relevant variable 10 corr 1.63003814 , in sigma: 0.735447387 11 most relevant variable 13 corr 1.61885476 , in sigma: 0.730401623 12 most relevant variable 6 corr 1.05105841 , in sigma: 0.474220905 13 most relevant variable 7 corr 1.20813668 , in sigma: 0.54509213 global correlations between input variables: variable 2: 99.4524337 % variable 3: 94.1282331 % variable 4: 90.9715394 % variable 5: 97.8490164 % variable 6: 96.8367296 % variable 7: 99.323513 % variable 8: 92.394076 % variable 9: 99.1018174 % variable 10: 73.9474989 % variable 11: 55.7330808 % variable 12: 68.911435 % variable 13: 90.8400246 % variable 14: 88.9124728 % significance loss when removing single variables: variable 2: corr = 7.96229374 % , sigma = 3.5924608 variable 3: corr = 6.96206177 % , sigma = 3.14117198 variable 4: corr = 13.437207 % , sigma = 6.06265494 variable 5: corr = 5.32128233 % , sigma = 2.40087829 variable 6: corr = 1.24982124 % , sigma = 0.563899545 variable 7: corr = 1.20813667 % , sigma = 0.545092127 variable 8: corr = 6.64403463 % , sigma = 2.99768317 variable 9: corr = 8.25442715 % , sigma = 3.72426676 variable 10: corr = 1.92159801 % , sigma = 0.86699458 variable 11: corr = 1.83197018 % , sigma = 0.826555924 variable 12: corr = 14.4878437 % , sigma = 6.53668557 variable 13: corr = 1.59418646 % , sigma = 0.719271677 variable 14: corr = 4.79230269 % , sigma = 2.16221105 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 5.73350811 sigma out 15 active outputs RANK 2 NODE 1 --> 4.69039869 sigma out 15 active outputs RANK 3 NODE 4 --> 4.67130327 sigma out 15 active outputs RANK 4 NODE 2 --> 4.65262794 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 6.52654839 sigma in 4act. ( 6.99519491 sig out 1act.) RANK 2 NODE 13 --> 4.32088423 sigma in 4act. ( 4.58035088 sig out 1act.) RANK 3 NODE 10 --> 3.2983489 sigma in 4act. ( 3.80305505 sig out 1act.) RANK 4 NODE 8 --> 2.50719929 sigma in 4act. ( 2.73264766 sig out 1act.) RANK 5 NODE 3 --> 2.13866711 sigma in 4act. ( 2.62168312 sig out 1act.) RANK 6 NODE 15 --> 1.82563734 sigma in 4act. ( 1.90327692 sig out 1act.) RANK 7 NODE 12 --> 1.69375575 sigma in 4act. ( 1.92891634 sig out 1act.) RANK 8 NODE 1 --> 1.56987834 sigma in 4act. ( 1.99210846 sig out 1act.) RANK 9 NODE 2 --> 1.34117877 sigma in 4act. ( 1.39659894 sig out 1act.) RANK 10 NODE 7 --> 1.27593553 sigma in 4act. ( 1.46383548 sig out 1act.) RANK 11 NODE 6 --> 1.10970974 sigma in 4act. ( 1.42028713 sig out 1act.) RANK 12 NODE 9 --> 1.00156307 sigma in 4act. ( 0.85714817 sig out 1act.) RANK 13 NODE 11 --> 0.692669511 sigma in 4act. ( 0.500771403 sig out 1act.) RANK 14 NODE 14 --> 0.606741846 sigma in 4act. ( 0.746273816 sig out 1act.) RANK 15 NODE 4 --> 0.400605351 sigma in 4act. ( 0.149537891 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 6.99519491 sigma out 1act.( 6.52654839 sig in 4act.) RANK 2 NODE 13 --> 4.58035088 sigma out 1act.( 4.32088423 sig in 4act.) RANK 3 NODE 10 --> 3.80305505 sigma out 1act.( 3.2983489 sig in 4act.) RANK 4 NODE 8 --> 2.73264766 sigma out 1act.( 2.50719929 sig in 4act.) RANK 5 NODE 3 --> 2.62168312 sigma out 1act.( 2.13866711 sig in 4act.) RANK 6 NODE 1 --> 1.99210846 sigma out 1act.( 1.56987834 sig in 4act.) RANK 7 NODE 12 --> 1.92891634 sigma out 1act.( 1.69375575 sig in 4act.) RANK 8 NODE 15 --> 1.90327692 sigma out 1act.( 1.82563734 sig in 4act.) RANK 9 NODE 7 --> 1.46383548 sigma out 1act.( 1.27593553 sig in 4act.) RANK 10 NODE 6 --> 1.42028713 sigma out 1act.( 1.10970974 sig in 4act.) RANK 11 NODE 2 --> 1.39659894 sigma out 1act.( 1.34117877 sig in 4act.) RANK 12 NODE 9 --> 0.85714817 sigma out 1act.( 1.00156307 sig in 4act.) RANK 13 NODE 14 --> 0.746273816 sigma out 1act.( 0.606741846 sig in 4act.) RANK 14 NODE 11 --> 0.500771403 sigma out 1act.( 0.692669511 sig in 4act.) RANK 15 NODE 4 --> 0.149537891 sigma out 1act.( 0.400605351 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.8491068 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 12.7686348 sigma out 15 active outputs RANK 2 NODE 2 --> 9.31792736 sigma out 15 active outputs RANK 3 NODE 1 --> 7.89392853 sigma out 15 active outputs RANK 4 NODE 4 --> 6.07120371 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 7.2314291 sigma in 4act. ( 7.50666094 sig out 1act.) RANK 2 NODE 14 --> 6.81583214 sigma in 4act. ( 5.27061844 sig out 1act.) RANK 3 NODE 7 --> 6.79820204 sigma in 4act. ( 3.72702551 sig out 1act.) RANK 4 NODE 2 --> 5.56960535 sigma in 4act. ( 2.5197618 sig out 1act.) RANK 5 NODE 15 --> 5.42469883 sigma in 4act. ( 3.0774765 sig out 1act.) RANK 6 NODE 9 --> 5.10882187 sigma in 4act. ( 2.15510535 sig out 1act.) RANK 7 NODE 4 --> 4.99154186 sigma in 4act. ( 1.60468996 sig out 1act.) RANK 8 NODE 8 --> 4.4602623 sigma in 4act. ( 4.57448626 sig out 1act.) RANK 9 NODE 13 --> 4.04482126 sigma in 4act. ( 2.68472815 sig out 1act.) RANK 10 NODE 3 --> 3.79379201 sigma in 4act. ( 4.95220661 sig out 1act.) RANK 11 NODE 11 --> 3.71164846 sigma in 4act. ( 1.16120958 sig out 1act.) RANK 12 NODE 1 --> 3.34546924 sigma in 4act. ( 3.99844384 sig out 1act.) RANK 13 NODE 10 --> 3.15985227 sigma in 4act. ( 1.86154902 sig out 1act.) RANK 14 NODE 12 --> 1.92366099 sigma in 4act. ( 1.13260591 sig out 1act.) RANK 15 NODE 6 --> 1.81832623 sigma in 4act. ( 0.766113698 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 7.50666094 sigma out 1act.( 7.2314291 sig in 4act.) RANK 2 NODE 14 --> 5.27061844 sigma out 1act.( 6.81583214 sig in 4act.) RANK 3 NODE 3 --> 4.95220661 sigma out 1act.( 3.79379201 sig in 4act.) RANK 4 NODE 8 --> 4.57448626 sigma out 1act.( 4.4602623 sig in 4act.) RANK 5 NODE 1 --> 3.99844384 sigma out 1act.( 3.34546924 sig in 4act.) RANK 6 NODE 7 --> 3.72702551 sigma out 1act.( 6.79820204 sig in 4act.) RANK 7 NODE 15 --> 3.0774765 sigma out 1act.( 5.42469883 sig in 4act.) RANK 8 NODE 13 --> 2.68472815 sigma out 1act.( 4.04482126 sig in 4act.) RANK 9 NODE 2 --> 2.5197618 sigma out 1act.( 5.56960535 sig in 4act.) RANK 10 NODE 9 --> 2.15510535 sigma out 1act.( 5.10882187 sig in 4act.) RANK 11 NODE 10 --> 1.86154902 sigma out 1act.( 3.15985227 sig in 4act.) RANK 12 NODE 4 --> 1.60468996 sigma out 1act.( 4.99154186 sig in 4act.) RANK 13 NODE 11 --> 1.16120958 sigma out 1act.( 3.71164846 sig in 4act.) RANK 14 NODE 12 --> 1.13260591 sigma out 1act.( 1.92366099 sig in 4act.) RANK 15 NODE 6 --> 0.766113698 sigma out 1act.( 1.81832623 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.0138769 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.437351555 *** contribution from regularisation: 0.0291224215 *** contribution from error: -0.466473967 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.534302473 *** contribution from regularisation: 0.00914336089 *** contribution from error: -0.543445826 *********************************************** -----------------> Test sample ENTER BFGS code START -3045.02529 0.268370301 -0.960338414 EXIT FROM BFGS code FG_START 0. 0.268370301 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.541792989 *** contribution from regularisation: 0.00917602051 *** contribution from error: -0.550969005 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3087.1366 0.268370301 0.868944645 EXIT FROM BFGS code FG_LNSRCH 0. 0.28300637 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.53822732 *** contribution from regularisation: 0.0128736161 *** contribution from error: -0.55110091 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3066.81917 0.28300637 -4.78928566 EXIT FROM BFGS code FG_LNSRCH 0. 0.273497045 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.544224441 *** contribution from regularisation: 0.0110748746 *** contribution from error: -0.555299342 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3100.9909 0.273497045 -0.567364275 EXIT FROM BFGS code NEW_X -3100.9909 0.273497045 -0.567364275 ENTER BFGS code NEW_X -3100.9909 0.273497045 -0.567364275 EXIT FROM BFGS code FG_LNSRCH 0. 0.27147305 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.544855595 *** contribution from regularisation: 0.0105355168 *** contribution from error: -0.555391133 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3104.58703 0.27147305 -1.4289434 EXIT FROM BFGS code NEW_X -3104.58703 0.27147305 -1.4289434 ENTER BFGS code NEW_X -3104.58703 0.27147305 -1.4289434 EXIT FROM BFGS code FG_LNSRCH 0. 0.229601443 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.54516542 *** contribution from regularisation: 0.00911000557 *** contribution from error: -0.554275453 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3106.35251 0.229601443 -5.54575586 EXIT FROM BFGS code NEW_X -3106.35251 0.229601443 -5.54575586 ENTER BFGS code NEW_X -3106.35251 0.229601443 -5.54575586 EXIT FROM BFGS code FG_LNSRCH 0. 0.151247263 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.542669058 *** contribution from regularisation: 0.00894744787 *** contribution from error: -0.55161649 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3092.12829 0.151247263 3.60733557 EXIT FROM BFGS code FG_LNSRCH 0. 0.220706403 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.540260553 *** contribution from regularisation: 0.0138814561 *** contribution from error: -0.554141998 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3078.40465 0.220706403 -4.67930079 EXIT FROM BFGS code FG_LNSRCH 0. 0.229523733 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 7.77020168 sigma out 15 active outputs RANK 2 NODE 2 --> 6.45377922 sigma out 15 active outputs RANK 3 NODE 1 --> 6.09793949 sigma out 15 active outputs RANK 4 NODE 4 --> 2.40341616 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 5.23024178 sigma in 4act. ( 3.95098376 sig out 1act.) RANK 2 NODE 7 --> 4.91730452 sigma in 4act. ( 3.88204312 sig out 1act.) RANK 3 NODE 8 --> 3.69902658 sigma in 4act. ( 3.34840989 sig out 1act.) RANK 4 NODE 5 --> 3.66792059 sigma in 4act. ( 2.88140869 sig out 1act.) RANK 5 NODE 2 --> 3.53250337 sigma in 4act. ( 2.58411741 sig out 1act.) RANK 6 NODE 9 --> 3.45094156 sigma in 4act. ( 2.52545547 sig out 1act.) RANK 7 NODE 15 --> 3.39609385 sigma in 4act. ( 2.43391705 sig out 1act.) RANK 8 NODE 4 --> 3.12099695 sigma in 4act. ( 2.2582829 sig out 1act.) RANK 9 NODE 3 --> 2.57011771 sigma in 4act. ( 1.99425662 sig out 1act.) RANK 10 NODE 11 --> 2.20284438 sigma in 4act. ( 1.50044858 sig out 1act.) RANK 11 NODE 1 --> 2.07498264 sigma in 4act. ( 1.336169 sig out 1act.) RANK 12 NODE 13 --> 1.19956088 sigma in 4act. ( 0.104483329 sig out 1act.) RANK 13 NODE 12 --> 1.1850878 sigma in 4act. ( 1.21559358 sig out 1act.) RANK 14 NODE 10 --> 1.06049943 sigma in 4act. ( 0.463416696 sig out 1act.) RANK 15 NODE 6 --> 0.961016238 sigma in 4act. ( 0.560692608 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 3.95098376 sigma out 1act.( 5.23024178 sig in 4act.) RANK 2 NODE 7 --> 3.88204312 sigma out 1act.( 4.91730452 sig in 4act.) RANK 3 NODE 8 --> 3.34840989 sigma out 1act.( 3.69902658 sig in 4act.) RANK 4 NODE 5 --> 2.88140869 sigma out 1act.( 3.66792059 sig in 4act.) RANK 5 NODE 2 --> 2.58411741 sigma out 1act.( 3.53250337 sig in 4act.) RANK 6 NODE 9 --> 2.52545547 sigma out 1act.( 3.45094156 sig in 4act.) RANK 7 NODE 15 --> 2.43391705 sigma out 1act.( 3.39609385 sig in 4act.) RANK 8 NODE 4 --> 2.2582829 sigma out 1act.( 3.12099695 sig in 4act.) RANK 9 NODE 3 --> 1.99425662 sigma out 1act.( 2.57011771 sig in 4act.) RANK 10 NODE 11 --> 1.50044858 sigma out 1act.( 2.20284438 sig in 4act.) RANK 11 NODE 1 --> 1.336169 sigma out 1act.( 2.07498264 sig in 4act.) RANK 12 NODE 12 --> 1.21559358 sigma out 1act.( 1.1850878 sig in 4act.) RANK 13 NODE 6 --> 0.560692608 sigma out 1act.( 0.961016238 sig in 4act.) RANK 14 NODE 10 --> 0.463416696 sigma out 1act.( 1.06049943 sig in 4act.) RANK 15 NODE 13 --> 0.104483329 sigma out 1act.( 1.19956088 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 9.1818161 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.545955479 *** contribution from regularisation: 0.0083187595 *** contribution from error: -0.554274261 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3110.85446 0.229523733 -5.95726871 EXIT FROM BFGS code FG_LNSRCH 0. 0.229448214 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.542068005 *** contribution from regularisation: 0.0122043584 *** contribution from error: -0.554272354 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3088.70366 0.229448214 -5.33339071 EXIT FROM BFGS code FG_LNSRCH 0. 0.229523718 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.54522419 *** contribution from regularisation: 0.00905004703 *** contribution from error: -0.554274261 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3106.68758 0.229523718 -5.86275387 EXIT FROM BFGS code FG_LNSRCH 0. 0.229523733 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.54246968 *** contribution from regularisation: 0.011804604 *** contribution from error: -0.554274261 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3090.99212 0.229523733 -5.52729321 EXIT FROM BFGS code NEW_X -3090.99212 0.229523733 -5.52729321 ENTER BFGS code NEW_X -3090.99212 0.229523733 -5.52729321 EXIT FROM BFGS code CONVERGENC -3090.99212 0.229523733 -5.52729321 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 11.3053513 sigma out 15 active outputs RANK 2 NODE 2 --> 9.44852829 sigma out 15 active outputs RANK 3 NODE 1 --> 8.42644215 sigma out 15 active outputs RANK 4 NODE 4 --> 3.37295675 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 7.82217026 sigma in 4act. ( 5.57012844 sig out 1act.) RANK 2 NODE 7 --> 7.26202774 sigma in 4act. ( 5.5246954 sig out 1act.) RANK 3 NODE 8 --> 5.37520027 sigma in 4act. ( 4.5684247 sig out 1act.) RANK 4 NODE 5 --> 5.22554779 sigma in 4act. ( 4.16710186 sig out 1act.) RANK 5 NODE 2 --> 5.01240587 sigma in 4act. ( 3.63006115 sig out 1act.) RANK 6 NODE 9 --> 4.99063444 sigma in 4act. ( 3.39737964 sig out 1act.) RANK 7 NODE 15 --> 4.87804556 sigma in 4act. ( 3.25551677 sig out 1act.) RANK 8 NODE 4 --> 4.40100193 sigma in 4act. ( 3.03293824 sig out 1act.) RANK 9 NODE 3 --> 3.51877213 sigma in 4act. ( 2.67038465 sig out 1act.) RANK 10 NODE 11 --> 2.9955132 sigma in 4act. ( 1.89901388 sig out 1act.) RANK 11 NODE 1 --> 2.73820901 sigma in 4act. ( 1.68585467 sig out 1act.) RANK 12 NODE 12 --> 1.51178694 sigma in 4act. ( 1.43141043 sig out 1act.) RANK 13 NODE 13 --> 1.41360795 sigma in 4act. ( 0.145743608 sig out 1act.) RANK 14 NODE 10 --> 1.28743517 sigma in 4act. ( 0.609227896 sig out 1act.) RANK 15 NODE 6 --> 1.16455173 sigma in 4act. ( 0.623398185 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 5.57012844 sigma out 1act.( 7.82217026 sig in 4act.) RANK 2 NODE 7 --> 5.5246954 sigma out 1act.( 7.26202774 sig in 4act.) RANK 3 NODE 8 --> 4.5684247 sigma out 1act.( 5.37520027 sig in 4act.) RANK 4 NODE 5 --> 4.16710186 sigma out 1act.( 5.22554779 sig in 4act.) RANK 5 NODE 2 --> 3.63006115 sigma out 1act.( 5.01240587 sig in 4act.) RANK 6 NODE 9 --> 3.39737964 sigma out 1act.( 4.99063444 sig in 4act.) RANK 7 NODE 15 --> 3.25551677 sigma out 1act.( 4.87804556 sig in 4act.) RANK 8 NODE 4 --> 3.03293824 sigma out 1act.( 4.40100193 sig in 4act.) RANK 9 NODE 3 --> 2.67038465 sigma out 1act.( 3.51877213 sig in 4act.) RANK 10 NODE 11 --> 1.89901388 sigma out 1act.( 2.9955132 sig in 4act.) RANK 11 NODE 1 --> 1.68585467 sigma out 1act.( 2.73820901 sig in 4act.) RANK 12 NODE 12 --> 1.43141043 sigma out 1act.( 1.51178694 sig in 4act.) RANK 13 NODE 6 --> 0.623398185 sigma out 1act.( 1.16455173 sig in 4act.) RANK 14 NODE 10 --> 0.609227896 sigma out 1act.( 1.28743517 sig in 4act.) RANK 15 NODE 13 --> 0.145743608 sigma out 1act.( 1.41360795 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.6771345 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.544336438 *** contribution from regularisation: 0.00993782282 *** contribution from error: -0.554274261 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done