NNInput NNInputs_150.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree Error in : error reading all requested bytes from file TMVAAna_out.root, got 228 of 300 Warning in : file TMVAAna_out.root has no keys Error in : Cannot find tree with name NNInput in file TMVAAna_out.root NNAna::CopyTree: entries= 196631 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: Actual Background Entries: 146935 NNAna::CopyTree: nsig = 49696 nbkg = 146935 Bkg Entries: 146935 Sig Entries: 49696 Chosen entries: 49696 Signal fraction: 1 Background fraction: 0.338218 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 146935 Actual Signal Entries: 49696 Entries to split: 49696 Test with : 24848 Train with : 24848 ********************************************* * 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= 49696 for Signal Prepared event 0 for Signal with 49696 events ====Entry 0 Variable Ht : 117.82 Variable LepAPt : 47.4738 Variable LepBPt : 12.5622 Variable MetSigLeptonsJets : 3.17918 Variable MetSpec : 29.8229 Variable SumEtLeptonsJets : 87.9972 Variable VSumJetLeptonsPt : 86.2262 Variable addEt : 89.8589 Variable dPhiLepSumMet : 2.58393 Variable dPhiLeptons : 0.475938 Variable dRLeptons : 0.613309 Variable lep1_E : 64.1505 Variable lep2_E : 22.7882 ===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 = 2150 Ht = 117.82 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 47.4738 LepAPt = 47.4738 LepBEt = 12.5622 LepBPt = 12.5622 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 29.8229 MetDelPhi = 2.20584 MetSig = 2.18904 MetSigLeptonsJets = 3.17918 MetSpec = 29.8229 Mjj = 0 MostCentralJetEta = 0.309078 MtllMet = 98.8413 Njets = 1 SB = 0 SumEt = 185.606 SumEtJets = 0 SumEtLeptonsJets = 87.9972 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 86.2262 addEt = 89.8589 dPhiLepSumMet = 2.58393 dPhiLeptons = 0.475938 dRLeptons = 0.613309 diltype = 1 dimass = 14.9303 event = 29 jet1_Et = 27.9612 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 64.1504 lep2_E = 22.7882 rand = 0.999742 run = 167138 weight = 3.54438e-06 ===Show End Prepared event 10000 for Signal with 49696 events Prepared event 20000 for Signal with 49696 events Prepared event 30000 for Signal with 49696 events Prepared event 40000 for Signal with 49696 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 146935 for Background Prepared event 0 for Background with 146935 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 = 0.263608 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 146935 events Prepared event 20000 for Background with 146935 events Prepared event 30000 for Background with 146935 events Prepared event 40000 for Background with 146935 events Prepared event 50000 for Background with 146935 events Prepared event 60000 for Background with 146935 events Prepared event 70000 for Background with 146935 events Prepared event 80000 for Background with 146935 events Prepared event 90000 for Background with 146935 events Prepared event 100000 for Background with 146935 events Prepared event 110000 for Background with 146935 events Prepared event 120000 for Background with 146935 events Prepared event 130000 for Background with 146935 events Prepared event 140000 for Background with 146935 events Warning: found 4429 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 196631 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 4429 negative weights. Signal fraction: 62.2093086 % ------------------------------ 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 47.2320099 61.6398811 64.1790619 65.9046936 67.3953629 68.4798737 69.4495163 70.3612061 71.3017883 72.0802612 72.9444962 73.6968079 74.1491547 74.7756042 75.3858414 76.1216888 76.7376709 77.2251587 77.8277893 78.4592438 79.0563049 79.6449432 80.3110275 80.9975433 81.6920471 82.351944 83.0038757 83.7597961 84.7552795 85.7410202 86.7937622 87.9848785 89.1292267 90.4978485 91.9065857 93.2451553 94.7239151 95.9398193 97.1149445 98.4955139 99.7201309 100.9664 102.229996 103.515472 104.9403 106.271088 107.695076 109.127319 110.610703 111.978821 113.497833 114.777588 116.271393 117.628342 119.086815 120.53421 121.830513 123.25206 124.618744 125.942398 127.398697 128.70256 129.997009 131.317001 132.670929 133.846313 135.360672 136.613037 137.952698 139.416031 140.79982 142.308304 143.851471 145.474609 146.952148 148.442108 149.974106 151.899994 153.684814 155.831726 158.242386 160.704758 163.401154 165.862213 168.567429 171.283234 174.182526 177.345978 180.956116 184.597244 188.608948 193.439484 198.203796 203.516541 209.540817 218.296539 228.054031 241.967697 261.518555 296.85025 836.977722 ------------------------------ Transdef: Tab for variable 3 20.0001068 20.2830067 20.5617237 20.8353729 21.1000366 21.3500824 21.5490284 21.8025513 22.0175762 22.2020111 22.3918037 22.5978127 22.789854 22.9967003 23.1839981 23.3800011 23.5844803 23.740284 23.9363976 24.1295815 24.3433971 24.5414791 24.7420521 24.9394531 25.157795 25.3500557 25.5442829 25.6973991 25.881094 26.0925045 26.2866096 26.4846687 26.7092667 26.895565 27.0983124 27.322998 27.5239716 27.7550259 27.9705467 28.1498623 28.3773804 28.6074734 28.8618813 29.0785542 29.2937508 29.5500908 29.7679596 30.004158 30.2475777 30.5322323 30.7387772 31.0364094 31.3105736 31.5682487 31.8559532 32.1182175 32.3930588 32.6449356 32.9015884 33.1914139 33.4609756 33.7653809 34.0650024 34.341095 34.629528 34.9346161 35.2211838 35.4689941 35.8059273 36.1336288 36.4327621 36.7558289 37.0966187 37.4901962 37.8318024 38.2140884 38.5789108 38.9818306 39.3546867 39.7805367 40.191864 40.6788483 41.193573 41.7505875 42.3007889 42.8704453 43.4286003 44.0540695 44.7736778 45.5280457 46.4323883 47.3918839 48.4126282 49.6622009 50.8144264 52.5470085 54.6944046 57.421833 61.5783386 69.4054413 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1178055 10.2219696 10.3462868 10.4496174 10.5535088 10.6792068 10.7953129 10.9093533 11.0162888 11.1362963 11.2696142 11.3840237 11.511981 11.6412277 11.7652197 11.9205894 12.0538883 12.2082195 12.3559475 12.4902878 12.6624384 12.8029079 12.9606342 13.1213179 13.2853508 13.4645863 13.6134815 13.7750664 13.9479742 14.134779 14.3046913 14.472805 14.6703625 14.8491688 15.0512772 15.2572174 15.4148226 15.6099424 15.8155012 16.0146751 16.2636452 16.4748707 16.6820908 16.8730602 17.0935783 17.3112831 17.5496712 17.7841644 18.0336189 18.2731361 18.4951687 18.7369499 18.9955177 19.2398777 19.5087776 19.7659988 20.0306168 20.2444973 20.4771461 20.7161808 20.9720612 21.2305336 21.4629726 21.7024403 21.9298782 22.1494293 22.409832 22.6909981 22.951046 23.2643318 23.5694771 23.8349857 24.1245575 24.4307518 24.7519875 25.11059 25.44874 25.8123837 26.1659088 26.4867439 26.8495064 27.2246437 27.6122818 27.9925919 28.4131699 28.8317223 29.294632 29.7358761 30.2432747 30.7844448 31.3814888 31.9738884 32.6682968 33.4404564 34.3378296 35.5020599 37.0700302 39.4630966 43.6381683 72.9396591 ------------------------------ Transdef: Tab for variable 5 1.04656506 2.57415581 2.93758678 3.2185576 3.46808505 3.67461038 3.84156656 4.01572275 4.13406754 4.26962137 4.38689709 4.49476433 4.5908947 4.67052078 4.75989723 4.84836197 4.92966413 5.0077095 5.06885195 5.13608742 5.19932842 5.2584753 5.30611658 5.36469984 5.41026974 5.45800447 5.50935888 5.55382586 5.59728622 5.64903831 5.70134163 5.75904942 5.79976845 5.83957148 5.88293123 5.92645597 5.97338581 6.01549578 6.05674171 6.10108232 6.14427519 6.18864059 6.23063421 6.27098799 6.30457544 6.347332 6.39205122 6.43253994 6.47010708 6.51237106 6.55328846 6.59935331 6.64199543 6.68528175 6.72868919 6.76983929 6.81781483 6.8542943 6.89899397 6.9507885 6.99506092 7.0469203 7.10076427 7.15413284 7.19887209 7.24947739 7.29722118 7.34845066 7.39796925 7.45332909 7.51632786 7.56913424 7.62041378 7.67710161 7.7358799 7.78976917 7.84484863 7.90533638 7.96766949 8.03035355 8.09391785 8.158041 8.2244854 8.28941727 8.3604126 8.43165398 8.50717735 8.59169769 8.67186928 8.75412083 8.84539223 8.95111084 9.07527733 9.21472073 9.37203789 9.54116631 9.74910831 10.0410328 10.4542408 11.1442566 18.8802528 ------------------------------ Transdef: Tab for variable 6 15.0050735 20.0582542 24.3396072 25.8493652 26.6767521 27.4036865 28.2919769 29.0672493 29.8267136 30.5381603 31.1191216 31.5618248 32.1417618 32.6691475 33.0849609 33.4899292 33.9186096 34.3947144 34.8317337 35.1904488 35.5919342 35.9621773 36.2907028 36.5692215 36.9504318 37.2690353 37.5622787 37.8675003 38.2105179 38.5609283 38.9079132 39.2789383 39.5758743 39.9509506 40.3490448 40.7051315 41.1266479 41.579731 41.9830856 42.3652992 42.7923126 43.2092972 43.6583023 44.1042938 44.5657578 45.1090164 45.6569672 46.2076187 46.8252411 47.4129372 48.088932 48.7252579 49.2662163 49.8702812 50.4992867 51.113987 51.7792358 52.3983116 53.0917816 53.7352295 54.3997993 55.0892487 55.7165184 56.4139252 57.018219 57.7031097 58.3892136 59.0313187 59.6942749 60.3533897 61.0734329 61.7969513 62.5004272 63.1841431 63.9140778 64.6883698 65.4783859 66.1833572 66.9341583 67.7100677 68.460434 69.2066574 69.9506378 70.810997 71.6547852 72.5630112 73.5150909 74.5631256 75.6780319 76.9262314 78.2422943 79.7019196 81.6458435 83.6763687 86.0357208 88.7370453 92.3048477 97.1448059 104.182808 115.628342 292.694519 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.3681374 33.3761292 34.0324173 34.6456757 35.2065811 35.6566162 36.0197144 36.4305382 36.8470116 37.1646881 37.5185089 37.793766 38.1141777 38.3544693 38.6475449 38.9099731 39.1949463 39.4776306 39.7714081 40.1479721 40.437767 40.7451401 41.1047096 41.4421005 41.7800369 42.1065865 42.582695 43.0813637 43.6517639 44.3303528 44.9051514 45.4289017 45.9894676 46.7115402 47.5327263 48.2733231 49.0781097 49.9653931 50.7886887 51.6088982 52.5829201 53.389164 54.2497635 55.1131935 55.9564667 56.7172318 57.4792786 58.269558 59.1062431 59.9052887 60.6844482 61.4529648 62.1702499 62.8687134 63.6155472 64.455368 65.2053299 65.9855347 66.7745285 67.6555481 68.5313873 69.3778992 70.2985992 71.1557312 72.0285873 72.9859619 73.9433517 75.0341339 76.241806 77.4499283 78.6978607 80.0217896 81.5354614 82.8683167 84.4220276 85.9605713 87.626915 89.3425903 91.0777893 92.9267578 94.6031799 96.4450302 98.5713348 100.80365 103.078217 105.392792 107.844376 110.733635 114.041679 117.657669 121.595779 125.746674 130.716583 136.43782 143.442841 152.603531 164.504547 179.904999 205.981995 482.486786 ------------------------------ Transdef: Tab for variable 8 1.61999488 23.2405014 28.1691113 30.0290184 31.1912193 31.9671326 32.5854187 33.1424866 33.6133118 34.0084152 34.4601212 34.8476753 35.1860657 35.5254059 35.8665581 36.1463852 36.4940338 36.7638397 37.0326309 37.3020859 37.5530548 37.8085594 38.0258942 38.237606 38.5415382 38.8209991 39.0546494 39.3028259 39.6225433 39.9110413 40.1916924 40.4492874 40.7872696 41.0942307 41.3691025 41.7430496 42.1154709 42.537735 42.9715805 43.4363098 43.8281212 44.2616196 44.6992264 45.1242256 45.6742592 46.2125092 46.7515831 47.3313828 47.9813538 48.5355301 49.0344086 49.557663 50.1306 50.7177544 51.3137054 51.9794083 52.6580353 53.2636185 53.87883 54.488308 55.0716095 55.6530762 56.2751808 56.8862686 57.5094604 58.1689034 58.7862816 59.3699684 60.0305862 60.6519737 61.3141861 61.8867798 62.5560303 63.1639099 63.8758392 64.5165405 65.1467514 65.8065796 66.4388199 67.1932526 67.8957138 68.6284943 69.4389191 70.2141418 71.015686 71.8254776 72.7700348 73.7590942 75.0270462 76.2289886 77.5569916 78.9652252 80.7098541 82.839035 85.4260712 88.6147842 92.5015869 97.3242035 105.092743 118.379929 349.597076 ------------------------------ Transdef: Tab for variable 9 47.2320099 61.1272545 63.5449753 65.1366882 66.4300995 67.6352081 68.5857544 69.4312744 70.283989 71.0083084 71.7462692 72.4568787 73.2610397 73.8126755 74.2597046 74.78125 75.3227615 75.8476715 76.503952 77.0187302 77.4184113 77.9978867 78.4944 79.0044556 79.5630798 79.963829 80.5965576 81.1607971 81.7674255 82.3105011 82.7916412 83.4868393 84.1283875 84.9013062 85.6885986 86.5075836 87.3257751 88.3894958 89.2211761 90.2217255 91.2865677 92.2565689 93.4088211 94.5816956 95.6465149 96.7490082 97.9585037 99.0339737 100.080635 101.300415 102.26236 103.406136 104.558594 105.644333 106.751205 107.989594 109.171936 110.301315 111.422729 112.656342 113.81337 114.863449 115.990219 117.091209 118.170822 119.348511 120.441338 121.433136 122.561722 123.634628 124.628494 125.65976 126.689041 127.723297 128.739349 129.852142 130.879959 131.871918 132.876099 133.873566 135.011688 136.101257 137.115051 138.202789 139.339783 140.461761 141.666306 142.886963 144.156052 145.442764 146.724274 148.186142 149.757065 151.422668 153.500885 156.046768 159.33371 164.119354 172.341461 189.76062 425.772034 ------------------------------ Transdef: Tab for variable 10 0.0335818008 1.05705428 1.3941282 1.59287858 1.74241471 1.85562754 1.95767593 2.04578638 2.11571813 2.18139267 2.23399973 2.27906418 2.32766533 2.37490034 2.41687083 2.44708443 2.48212409 2.51531839 2.54018807 2.56789589 2.59398079 2.61830783 2.64255047 2.66718817 2.68841791 2.70962548 2.7293458 2.74723625 2.76345539 2.77894783 2.79420352 2.80838394 2.82122612 2.83214808 2.84330606 2.85501742 2.86505222 2.87544537 2.88600588 2.89588952 2.90424347 2.91303134 2.92181158 2.92901659 2.9372673 2.94500494 2.95216036 2.95864868 2.96434021 2.97037363 2.97661209 2.98118734 2.9864471 2.9907434 2.99547052 3.00080752 3.00542593 3.00934029 3.01376534 3.0191915 3.02349567 3.02762103 3.03163099 3.03554296 3.0394156 3.04289055 3.04623127 3.05044508 3.05383396 3.05727339 3.06048751 3.06333828 3.06649232 3.06956005 3.07269073 3.07571769 3.07871628 3.08192253 3.08452535 3.08733249 3.09013605 3.09341478 3.09632492 3.098979 3.10153913 3.10400414 3.1066494 3.10939384 3.11226749 3.11464071 3.11661673 3.11914134 3.12162256 3.12434959 3.1268158 3.12910175 3.13120747 3.13352537 3.13610506 3.13882113 3.14158916 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00623393059 0.0115094176 0.0189324804 0.0250546932 0.0318986252 0.0394521952 0.0470772684 0.0542475656 0.0616790652 0.0690848827 0.077604115 0.0843119621 0.0916566849 0.0985383987 0.106019564 0.1132247 0.119779855 0.127663076 0.134708315 0.141431272 0.147971928 0.155010134 0.161470711 0.167677879 0.173824891 0.179651767 0.185755044 0.191608086 0.19729948 0.202311039 0.206760764 0.211823612 0.216740727 0.221333206 0.226711512 0.231911898 0.236231863 0.241753101 0.246912554 0.252558827 0.257565737 0.262387037 0.267517567 0.273450077 0.278899431 0.284337759 0.289428681 0.294933796 0.299681306 0.305161238 0.310732126 0.316347629 0.321285427 0.32611984 0.332562268 0.338915646 0.344327092 0.350890696 0.356804103 0.361798584 0.367769122 0.373442978 0.379414201 0.386651903 0.392563105 0.398327291 0.404391855 0.411210775 0.417077482 0.423623681 0.42884624 0.435534835 0.44196558 0.447835922 0.45531106 0.461930722 0.469280362 0.475819588 0.483059168 0.491794527 0.500238895 0.509121895 0.51742661 0.525960445 0.535126984 0.545415938 0.556759238 0.568381131 0.579958558 0.593249619 0.609463692 0.626672685 0.640512705 0.657286584 0.680095553 0.704945803 0.733726978 0.777892411 0.848999977 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.208140418 0.217281595 0.225210369 0.233129114 0.240679741 0.247678488 0.254378438 0.260894716 0.267395645 0.273456097 0.280046582 0.28626591 0.292714536 0.299268007 0.305354446 0.310787171 0.316763937 0.322521508 0.329515725 0.335825682 0.341458976 0.347078383 0.352840006 0.358779013 0.36496377 0.370480001 0.376281023 0.381759942 0.387613326 0.393029988 0.398294777 0.402764142 0.407169759 0.411310196 0.414895087 0.418564945 0.42287308 0.426585644 0.430523753 0.434375942 0.437522769 0.441555291 0.445245564 0.448685527 0.452844858 0.457184076 0.460998625 0.465181202 0.469457299 0.473666787 0.477483988 0.481815517 0.485349476 0.489082813 0.49304229 0.497469127 0.501692057 0.506340384 0.510874033 0.515041351 0.519901633 0.524671197 0.529251158 0.534646511 0.539274573 0.544971943 0.549992502 0.554922462 0.560191154 0.565780282 0.571353912 0.577022731 0.581685364 0.587674141 0.593893051 0.60001266 0.606764317 0.61416012 0.620922685 0.62861383 0.635699272 0.644046545 0.651456833 0.660885751 0.668439806 0.676757872 0.685648441 0.696961641 0.708225846 0.719920874 0.731850982 0.74444586 0.756063938 0.7713238 0.793374777 0.813114285 0.836218774 0.87033987 0.917396188 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.3830223 22.1716957 22.7843933 23.3489151 23.7982616 24.2506866 24.6776199 25.051342 25.4189987 25.825695 26.2012672 26.6031036 27.0237198 27.3585129 27.7160301 28.0858898 28.4290543 28.7746201 29.0988884 29.4099579 29.7558937 30.0407066 30.2898216 30.5762444 30.829565 31.1147652 31.3953972 31.7573853 32.0768051 32.3846283 32.7094612 33.0556412 33.3427658 33.6617928 34.0242615 34.3323669 34.6215057 34.9518356 35.2427826 35.5334015 35.8660355 36.1477852 36.4328537 36.7703362 37.0977364 37.397789 37.7317352 38.0668869 38.4066238 38.7400131 39.1217003 39.4734612 39.8450203 40.2204819 40.6173477 41.0194511 41.4073563 41.8309479 42.2360687 42.6521606 43.0987968 43.4902267 43.902916 44.3210907 44.7939949 45.2775803 45.7988243 46.3186493 46.8350563 47.4197884 47.9789505 48.545002 49.1337509 49.7543106 50.4382439 51.0163498 51.7977142 52.4781799 53.2708282 54.1199799 54.9443703 55.8283768 56.863327 57.9646912 58.9581299 60.0888481 61.3633423 62.6269226 64.0788574 65.8054962 67.7731323 69.8230591 72.2350311 74.6439819 77.8087311 81.2967224 85.958313 91.8056488 100.881363 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0089645 10.6274853 11.0067263 11.3324032 11.6328793 11.9687519 12.2973061 12.5546322 12.8520203 13.1871557 13.4460096 13.7220592 13.9934025 14.2873669 14.5589628 14.8625679 15.1427031 15.4052315 15.6449146 15.9086113 16.1920872 16.4339409 16.6895676 16.9330235 17.1868477 17.4339943 17.6950455 17.9075413 18.1614609 18.443058 18.6893387 18.9782944 19.225071 19.527935 19.851223 20.1398354 20.4304314 20.6659927 20.9536476 21.2157745 21.496233 21.7486458 22.0113392 22.2772045 22.5209599 22.8247643 23.0715027 23.3179188 23.5740089 23.8472176 24.1328087 24.4015636 24.6806793 24.9723263 25.2726536 25.5422955 25.8352032 26.123415 26.3812466 26.6617355 26.9876518 27.2613449 27.5740852 27.8615513 28.1764679 28.5150623 28.8298531 29.1581688 29.472435 29.7820415 30.1663151 30.5124378 30.8867188 31.2573986 31.6202736 31.9967384 32.41436 32.8798523 33.3417282 33.7760582 34.2508087 34.6955795 35.1920242 35.7045517 36.3238602 36.8891029 37.4493332 38.1628952 38.974472 39.7821655 40.6401062 41.5798187 42.7075806 43.8983231 45.2761993 47.2141113 49.0792694 51.7674484 55.8988037 62.4238205 118.581718 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 64.2 45.9 51.6 26.3 46.6 61.3 51.8 61.7 -27.3 -12.3 -26.1 12.2 25.1 2 64.2 100.0 65.3 59.9 32.1 67.2 94.3 72.0 91.1 -45.3 -20.3 -39.4 31.3 34.4 3 45.9 65.3 100.0 43.4 7.0 32.9 68.4 51.4 70.7 -16.4 -22.5 -44.0 64.0 24.7 4 51.6 59.9 43.4 100.0 14.9 36.9 60.3 51.3 66.2 -11.9 -25.6 -50.0 18.7 71.9 5 26.3 32.1 7.0 14.9 100.0 83.9 3.9 55.4 55.6 25.8 -3.7 -5.6 -4.5 5.1 6 46.6 67.2 32.9 36.9 83.9 100.0 45.3 78.0 79.8 -4.7 -11.1 -21.3 10.5 19.2 7 61.3 94.3 68.4 60.3 3.9 45.3 100.0 63.1 79.0 -53.8 -20.1 -39.8 35.4 36.1 8 51.8 72.0 51.4 51.3 55.4 78.0 63.1 100.0 81.6 -8.7 -19.2 -34.0 24.2 30.8 9 61.7 91.1 70.7 66.2 55.6 79.8 79.0 81.6 100.0 -20.0 -22.6 -44.1 36.0 40.2 10 -27.3 -45.3 -16.4 -11.9 25.8 -4.7 -53.8 -8.7 -20.0 100.0 3.4 7.2 -5.5 -4.1 11 -12.3 -20.3 -22.5 -25.6 -3.7 -11.1 -20.1 -19.2 -22.6 3.4 100.0 55.3 -7.4 -14.8 12 -26.1 -39.4 -44.0 -50.0 -5.6 -21.3 -39.8 -34.0 -44.1 7.2 55.3 100.0 -18.1 -26.8 13 12.2 31.3 64.0 18.7 -4.5 10.5 35.4 24.2 36.0 -5.5 -7.4 -18.1 100.0 47.1 14 25.1 34.4 24.7 71.9 5.1 19.2 36.1 30.8 40.2 -4.1 -14.8 -26.8 47.1 100.0 TOTAL CORRELATION TO TARGET (diagonal) 156.093889 TOTAL CORRELATION OF ALL VARIABLES 70.4634277 ROUND 1: MAX CORR ( 70.4499191) AFTER KILLING INPUT VARIABLE 6 CONTR 1.37968799 ROUND 2: MAX CORR ( 70.4327061) AFTER KILLING INPUT VARIABLE 11 CONTR 1.55724459 ROUND 3: MAX CORR ( 70.4038014) AFTER KILLING INPUT VARIABLE 14 CONTR 2.01763188 ROUND 4: MAX CORR ( 70.3548475) AFTER KILLING INPUT VARIABLE 8 CONTR 2.6250107 ROUND 5: MAX CORR ( 70.2379416) AFTER KILLING INPUT VARIABLE 2 CONTR 4.05414995 ROUND 6: MAX CORR ( 69.947499) AFTER KILLING INPUT VARIABLE 12 CONTR 6.38089554 ROUND 7: MAX CORR ( 69.5894851) AFTER KILLING INPUT VARIABLE 10 CONTR 7.0679685 ROUND 8: MAX CORR ( 68.7792904) AFTER KILLING INPUT VARIABLE 9 CONTR 10.5879953 ROUND 9: MAX CORR ( 67.951084) AFTER KILLING INPUT VARIABLE 3 CONTR 10.6414741 ROUND 10: MAX CORR ( 67.4397073) AFTER KILLING INPUT VARIABLE 13 CONTR 8.32079935 ROUND 11: MAX CORR ( 65.7930282) AFTER KILLING INPUT VARIABLE 4 CONTR 14.8118724 ROUND 12: MAX CORR ( 61.3070904) AFTER KILLING INPUT VARIABLE 5 CONTR 23.8780907 LAST REMAINING VARIABLE: 7 total correlation to target: 70.4634277 % total significance: 141.379987 sigma correlations of single variables to target: variable 2: 64.2249999 % , in sigma: 128.863013 variable 3: 45.9387185 % , in sigma: 92.1728564 variable 4: 51.6178934 % , in sigma: 103.567728 variable 5: 26.2772064 % , in sigma: 52.7233943 variable 6: 46.6032912 % , in sigma: 93.5062756 variable 7: 61.3070904 % , in sigma: 123.00843 variable 8: 51.8237355 % , in sigma: 103.980736 variable 9: 61.6890545 % , in sigma: 123.774815 variable 10: -27.2504181 % , in sigma: 54.6760764 variable 11: -12.3172032 % , in sigma: 24.713615 variable 12: -26.1193818 % , in sigma: 52.4067304 variable 13: 12.2078551 % , in sigma: 24.4942156 variable 14: 25.0593209 % , in sigma: 50.2797916 variables sorted by significance: 1 most relevant variable 7 corr 61.3070908 , in sigma: 123.008431 2 most relevant variable 5 corr 23.8780899 , in sigma: 47.9097334 3 most relevant variable 4 corr 14.8118725 , in sigma: 29.7189961 4 most relevant variable 13 corr 8.32079887 , in sigma: 16.6951066 5 most relevant variable 3 corr 10.6414738 , in sigma: 21.35138 6 most relevant variable 9 corr 10.5879955 , in sigma: 21.2440796 7 most relevant variable 10 corr 7.06796837 , in sigma: 14.1813889 8 most relevant variable 12 corr 6.38089561 , in sigma: 12.802825 9 most relevant variable 2 corr 4.0541501 , in sigma: 8.13437136 10 most relevant variable 8 corr 2.62501073 , in sigma: 5.26690219 11 most relevant variable 14 corr 2.01763177 , in sigma: 4.04823838 12 most relevant variable 11 corr 1.55724454 , in sigma: 3.1245033 13 most relevant variable 6 corr 1.37968802 , in sigma: 2.76824845 global correlations between input variables: variable 2: 99.2094829 % variable 3: 92.6863918 % variable 4: 91.9081614 % variable 5: 95.5061404 % variable 6: 95.1210474 % variable 7: 98.8050239 % variable 8: 88.606357 % variable 9: 98.8017544 % variable 10: 71.6785056 % variable 11: 55.8839193 % variable 12: 70.2577424 % variable 13: 85.3023091 % variable 14: 88.0590903 % significance loss when removing single variables: variable 2: corr = 4.93610718 % , sigma = 9.90395714 variable 3: corr = 15.047732 % , sigma = 30.1922319 variable 4: corr = 15.6943297 % , sigma = 31.4895854 variable 5: corr = 13.6381069 % , sigma = 27.3639168 variable 6: corr = 1.37968799 % , sigma = 2.76824838 variable 7: corr = 4.63939718 % , sigma = 9.30862907 variable 8: corr = 3.03154954 % , sigma = 6.08259416 variable 9: corr = 11.0285336 % , sigma = 22.1279888 variable 10: corr = 6.45069092 % , sigma = 12.9428645 variable 11: corr = 1.60438291 % , sigma = 3.21908317 variable 12: corr = 5.11939487 % , sigma = 10.2717112 variable 13: corr = 7.48838585 % , sigma = 15.0249275 variable 14: corr = 1.89973843 % , sigma = 3.81169357 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 17.7212048 sigma out 15 active outputs RANK 2 NODE 7 --> 15.9616795 sigma out 15 active outputs RANK 3 NODE 11 --> 15.9323168 sigma out 15 active outputs RANK 4 NODE 1 --> 13.4795475 sigma out 15 active outputs RANK 5 NODE 3 --> 13.2816629 sigma out 15 active outputs RANK 6 NODE 4 --> 11.8043299 sigma out 15 active outputs RANK 7 NODE 12 --> 11.7949705 sigma out 15 active outputs RANK 8 NODE 10 --> 11.536952 sigma out 15 active outputs RANK 9 NODE 2 --> 11.5095186 sigma out 15 active outputs RANK 10 NODE 6 --> 9.39508438 sigma out 15 active outputs RANK 11 NODE 8 --> 8.97134972 sigma out 15 active outputs RANK 12 NODE 9 --> 7.56501579 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 26.0804577 sigma in 12act. ( 25.211916 sig out 1act.) RANK 2 NODE 12 --> 18.3282032 sigma in 12act. ( 16.9247818 sig out 1act.) RANK 3 NODE 7 --> 17.6135635 sigma in 12act. ( 17.950491 sig out 1act.) RANK 4 NODE 13 --> 14.4406881 sigma in 12act. ( 14.2952471 sig out 1act.) RANK 5 NODE 6 --> 11.8345261 sigma in 12act. ( 7.53302479 sig out 1act.) RANK 6 NODE 10 --> 8.52976418 sigma in 12act. ( 10.5416422 sig out 1act.) RANK 7 NODE 11 --> 7.90845633 sigma in 12act. ( 4.91415453 sig out 1act.) RANK 8 NODE 15 --> 6.13974476 sigma in 12act. ( 7.72573137 sig out 1act.) RANK 9 NODE 2 --> 5.98563719 sigma in 12act. ( 5.03002644 sig out 1act.) RANK 10 NODE 1 --> 4.61071634 sigma in 12act. ( 5.92508745 sig out 1act.) RANK 11 NODE 5 --> 3.73028803 sigma in 12act. ( 5.74915743 sig out 1act.) RANK 12 NODE 14 --> 3.70087099 sigma in 12act. ( 1.02191007 sig out 1act.) RANK 13 NODE 4 --> 3.63799739 sigma in 12act. ( 3.453161 sig out 1act.) RANK 14 NODE 3 --> 1.97655666 sigma in 12act. ( 2.99722624 sig out 1act.) RANK 15 NODE 8 --> 0.997296512 sigma in 12act. ( 0.138952687 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 25.211916 sigma out 1act.( 26.0804577 sig in 12act.) RANK 2 NODE 7 --> 17.950491 sigma out 1act.( 17.6135635 sig in 12act.) RANK 3 NODE 12 --> 16.9247818 sigma out 1act.( 18.3282032 sig in 12act.) RANK 4 NODE 13 --> 14.2952471 sigma out 1act.( 14.4406881 sig in 12act.) RANK 5 NODE 10 --> 10.5416422 sigma out 1act.( 8.52976418 sig in 12act.) RANK 6 NODE 15 --> 7.72573137 sigma out 1act.( 6.13974476 sig in 12act.) RANK 7 NODE 6 --> 7.53302479 sigma out 1act.( 11.8345261 sig in 12act.) RANK 8 NODE 1 --> 5.92508745 sigma out 1act.( 4.61071634 sig in 12act.) RANK 9 NODE 5 --> 5.74915743 sigma out 1act.( 3.73028803 sig in 12act.) RANK 10 NODE 2 --> 5.03002644 sigma out 1act.( 5.98563719 sig in 12act.) RANK 11 NODE 11 --> 4.91415453 sigma out 1act.( 7.90845633 sig in 12act.) RANK 12 NODE 4 --> 3.453161 sigma out 1act.( 3.63799739 sig in 12act.) RANK 13 NODE 3 --> 2.99722624 sigma out 1act.( 1.97655666 sig in 12act.) RANK 14 NODE 14 --> 1.02191007 sigma out 1act.( 3.70087099 sig in 12act.) RANK 15 NODE 8 --> 0.138952687 sigma out 1act.( 0.997296512 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 42.6122475 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 23.6521873 sigma out 15 active outputs RANK 2 NODE 5 --> 17.6762428 sigma out 15 active outputs RANK 3 NODE 11 --> 15.5675535 sigma out 15 active outputs RANK 4 NODE 7 --> 15.5513 sigma out 15 active outputs RANK 5 NODE 1 --> 14.3932781 sigma out 15 active outputs RANK 6 NODE 12 --> 13.5815973 sigma out 15 active outputs RANK 7 NODE 3 --> 13.3019733 sigma out 15 active outputs RANK 8 NODE 4 --> 11.4327078 sigma out 15 active outputs RANK 9 NODE 10 --> 11.2272949 sigma out 15 active outputs RANK 10 NODE 6 --> 10.6010714 sigma out 15 active outputs RANK 11 NODE 8 --> 10.5011988 sigma out 15 active outputs RANK 12 NODE 9 --> 8.54308701 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 23.2838287 sigma in 12act. ( 23.8430443 sig out 1act.) RANK 2 NODE 7 --> 18.7177086 sigma in 12act. ( 16.9039097 sig out 1act.) RANK 3 NODE 3 --> 15.3037386 sigma in 12act. ( 6.0093255 sig out 1act.) RANK 4 NODE 12 --> 15.1311693 sigma in 12act. ( 14.4546528 sig out 1act.) RANK 5 NODE 5 --> 15.0932226 sigma in 12act. ( 7.78305387 sig out 1act.) RANK 6 NODE 13 --> 14.2010021 sigma in 12act. ( 13.1116791 sig out 1act.) RANK 7 NODE 10 --> 12.0125675 sigma in 12act. ( 10.8958054 sig out 1act.) RANK 8 NODE 15 --> 11.1293583 sigma in 12act. ( 8.4989996 sig out 1act.) RANK 9 NODE 1 --> 10.0890856 sigma in 12act. ( 7.28512383 sig out 1act.) RANK 10 NODE 6 --> 9.15036201 sigma in 12act. ( 6.10881948 sig out 1act.) RANK 11 NODE 2 --> 8.02078724 sigma in 12act. ( 5.12628174 sig out 1act.) RANK 12 NODE 11 --> 8.01421642 sigma in 12act. ( 3.95761395 sig out 1act.) RANK 13 NODE 4 --> 7.55131149 sigma in 12act. ( 3.90396357 sig out 1act.) RANK 14 NODE 14 --> 6.49645615 sigma in 12act. ( 2.96043968 sig out 1act.) RANK 15 NODE 8 --> 3.23219538 sigma in 12act. ( 0.268599838 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 23.8430443 sigma out 1act.( 23.2838287 sig in 12act.) RANK 2 NODE 7 --> 16.9039097 sigma out 1act.( 18.7177086 sig in 12act.) RANK 3 NODE 12 --> 14.4546528 sigma out 1act.( 15.1311693 sig in 12act.) RANK 4 NODE 13 --> 13.1116791 sigma out 1act.( 14.2010021 sig in 12act.) RANK 5 NODE 10 --> 10.8958054 sigma out 1act.( 12.0125675 sig in 12act.) RANK 6 NODE 15 --> 8.4989996 sigma out 1act.( 11.1293583 sig in 12act.) RANK 7 NODE 5 --> 7.78305387 sigma out 1act.( 15.0932226 sig in 12act.) RANK 8 NODE 1 --> 7.28512383 sigma out 1act.( 10.0890856 sig in 12act.) RANK 9 NODE 6 --> 6.10881948 sigma out 1act.( 9.15036201 sig in 12act.) RANK 10 NODE 3 --> 6.0093255 sigma out 1act.( 15.3037386 sig in 12act.) RANK 11 NODE 2 --> 5.12628174 sigma out 1act.( 8.02078724 sig in 12act.) RANK 12 NODE 11 --> 3.95761395 sigma out 1act.( 8.01421642 sig in 12act.) RANK 13 NODE 4 --> 3.90396357 sigma out 1act.( 7.55131149 sig in 12act.) RANK 14 NODE 14 --> 2.96043968 sigma out 1act.( 6.49645615 sig in 12act.) RANK 15 NODE 8 --> 0.268599838 sigma out 1act.( 3.23219538 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 40.9772491 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.406281233 *** contribution from regularisation: 0.00502839079 *** contribution from error: -0.41130963 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.466432333 *** contribution from regularisation: 0.00205185078 *** contribution from error: -0.468484193 *********************************************** -----------------> Test sample ENTER BFGS code START -45867.1264 0.578940332 0.0862492993 EXIT FROM BFGS code FG_START 0. 0.578940332 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.492599219 *** contribution from regularisation: 0.00216975831 *** contribution from error: -0.494768977 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -48429.8921 0.578940332 68.3659439 EXIT FROM BFGS code FG_LNSRCH 0. 0.587049544 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 .587049544 53.3731575 EXIT FROM BFGS code NEW_X -53355.6864 0.587049544 53.3731575 ENTER BFGS code NEW_X -53355.6864 0.587049544 53.3731575 EXIT FROM BFGS code FG_LNSRCH 0. 0.594503284 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.544755876 *** contribution from regularisation: 0.00316276867 *** contribution from error: -0.547918618 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53557.6714 0.594503284 28.6891689 EXIT FROM BFGS code NEW_X -53557.6714 0.594503284 28.6891689 ENTER BFGS code NEW_X -53557.6714 0.594503284 28.6891689 EXIT FROM BFGS code FG_LNSRCH 0. 0.603759527 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.546904683 *** contribution from regularisation: 0.00308457366 *** contribution from error: -0.549989283 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53768.9335 0.603759527 3.87705684 EXIT FROM BFGS code NEW_X -53768.9335 0.603759527 3.87705684 ENTER BFGS code NEW_X -53768.9335 0.603759527 3.87705684 EXIT FROM BFGS code FG_LNSRCH 0. 0.605470479 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.547718883 *** contribution from regularisation: 0.00294169877 *** contribution from error: -0.55066061 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53848.9809 0.605470479 -9.12284565 EXIT FROM BFGS code NEW_X -53848.9809 0.605470479 -9.12284565 ENTER BFGS code NEW_X -53848.9809 0.605470479 -9.12284565 EXIT FROM BFGS code FG_LNSRCH 0. 0.603561878 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.547977865 *** contribution from regularisation: 0.00290763099 *** contribution from error: -0.550885499 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53874.4411 0.603561878 -21.4477024 EXIT FROM BFGS code NEW_X -53874.4411 0.603561878 -21.4477024 ENTER BFGS code NEW_X -53874.4411 0.603561878 -21.4477024 EXIT FROM BFGS code FG_LNSRCH 0. 0.584955394 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.548718631 *** contribution from regularisation: 0.00276693259 *** contribution from error: -0.551485538 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53947.2716 0.584955394 -29.4543304 EXIT FROM BFGS code NEW_X -53947.2716 0.584955394 -29.4543304 ENTER BFGS code NEW_X -53947.2716 0.584955394 -29.4543304 EXIT FROM BFGS code FG_LNSRCH 0. 0.548681736 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 44.3033981 sigma out 15 active outputs RANK 2 NODE 1 --> 22.0144482 sigma out 15 active outputs RANK 3 NODE 12 --> 17.77145 sigma out 15 active outputs RANK 4 NODE 10 --> 17.6397114 sigma out 15 active outputs RANK 5 NODE 8 --> 14.1795483 sigma out 15 active outputs RANK 6 NODE 3 --> 14.0376205 sigma out 15 active outputs RANK 7 NODE 5 --> 14.0123243 sigma out 15 active outputs RANK 8 NODE 7 --> 13.396349 sigma out 15 active outputs RANK 9 NODE 9 --> 8.86525822 sigma out 15 active outputs RANK 10 NODE 11 --> 8.73279572 sigma out 15 active outputs RANK 11 NODE 4 --> 7.21460104 sigma out 15 active outputs RANK 12 NODE 6 --> 4.27233315 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 43.8492203 sigma in 12act. ( 41.1462517 sig out 1act.) RANK 2 NODE 3 --> 29.101572 sigma in 12act. ( 31.0549164 sig out 1act.) RANK 3 NODE 1 --> 16.8349628 sigma in 12act. ( 14.5830727 sig out 1act.) RANK 4 NODE 9 --> 14.6018391 sigma in 12act. ( 13.8167076 sig out 1act.) RANK 5 NODE 14 --> 12.0966558 sigma in 12act. ( 8.24403667 sig out 1act.) RANK 6 NODE 2 --> 10.6678305 sigma in 12act. ( 9.34353065 sig out 1act.) RANK 7 NODE 7 --> 10.64643 sigma in 12act. ( 9.45930576 sig out 1act.) RANK 8 NODE 10 --> 10.3532257 sigma in 12act. ( 9.09133911 sig out 1act.) RANK 9 NODE 15 --> 9.95406818 sigma in 12act. ( 7.03404427 sig out 1act.) RANK 10 NODE 13 --> 8.33746052 sigma in 12act. ( 6.56764317 sig out 1act.) RANK 11 NODE 4 --> 7.764678 sigma in 12act. ( 5.80386877 sig out 1act.) RANK 12 NODE 12 --> 7.67488956 sigma in 12act. ( 6.88411665 sig out 1act.) RANK 13 NODE 6 --> 4.34890032 sigma in 12act. ( 2.85957003 sig out 1act.) RANK 14 NODE 11 --> 3.99015927 sigma in 12act. ( 1.37231112 sig out 1act.) RANK 15 NODE 8 --> 1.9780184 sigma in 12act. ( 0.133637458 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 41.1462517 sigma out 1act.( 43.8492203 sig in 12act.) RANK 2 NODE 3 --> 31.0549164 sigma out 1act.( 29.101572 sig in 12act.) RANK 3 NODE 1 --> 14.5830727 sigma out 1act.( 16.8349628 sig in 12act.) RANK 4 NODE 9 --> 13.8167076 sigma out 1act.( 14.6018391 sig in 12act.) RANK 5 NODE 7 --> 9.45930576 sigma out 1act.( 10.64643 sig in 12act.) RANK 6 NODE 2 --> 9.34353065 sigma out 1act.( 10.6678305 sig in 12act.) RANK 7 NODE 10 --> 9.09133911 sigma out 1act.( 10.3532257 sig in 12act.) RANK 8 NODE 14 --> 8.24403667 sigma out 1act.( 12.0966558 sig in 12act.) RANK 9 NODE 15 --> 7.03404427 sigma out 1act.( 9.95406818 sig in 12act.) RANK 10 NODE 12 --> 6.88411665 sigma out 1act.( 7.67488956 sig in 12act.) RANK 11 NODE 13 --> 6.56764317 sigma out 1act.( 8.33746052 sig in 12act.) RANK 12 NODE 4 --> 5.80386877 sigma out 1act.( 7.764678 sig in 12act.) RANK 13 NODE 6 --> 2.85957003 sigma out 1act.( 4.34890032 sig in 12act.) RANK 14 NODE 11 --> 1.37231112 sigma out 1act.( 3.99015927 sig in 12act.) RANK 15 NODE 8 --> 0.133637458 sigma out 1act.( 1.9780184 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 59.7674828 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.549477458 *** contribution from regularisation: 0.00272775372 *** contribution from error: -0.552205205 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54021.8774 0.548681736 -25.3688374 EXIT FROM BFGS code NEW_X -54021.8774 0.548681736 -25.3688374 ENTER BFGS code NEW_X -54021.8774 0.548681736 -25.3688374 EXIT FROM BFGS code FG_LNSRCH 0. 0.51379627 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.550223529 *** contribution from regularisation: 0.00287878513 *** contribution from error: -0.553102314 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54095.2238 0.51379627 7.02162886 EXIT FROM BFGS code NEW_X -54095.2238 0.51379627 7.02162886 ENTER BFGS code NEW_X -54095.2238 0.51379627 7.02162886 EXIT FROM BFGS code FG_LNSRCH 0. 0.50229156 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.550645709 *** contribution from regularisation: 0.00294996356 *** contribution from error: -0.553595662 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54136.7306 0.50229156 -2.19230342 EXIT FROM BFGS code NEW_X -54136.7306 0.50229156 -2.19230342 ENTER BFGS code NEW_X -54136.7306 0.50229156 -2.19230342 EXIT FROM BFGS code FG_LNSRCH 0. 0.510425746 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.550809205 *** contribution from regularisation: 0.00286504487 *** contribution from error: -0.553674221 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54152.8059 0.510425746 -12.6186466 EXIT FROM BFGS code NEW_X -54152.8059 0.510425746 -12.6186466 ENTER BFGS code NEW_X -54152.8059 0.510425746 -12.6186466 EXIT FROM BFGS code FG_LNSRCH 0. 0.50235337 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.550934613 *** contribution from regularisation: 0.00290673296 *** contribution from error: -0.553841352 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54165.1355 0.50235337 -4.17961407 EXIT FROM BFGS code NEW_X -54165.1355 0.50235337 -4.17961407 ENTER BFGS code NEW_X -54165.1355 0.50235337 -4.17961407 EXIT FROM BFGS code FG_LNSRCH 0. 0.473010272 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.551365137 *** contribution from regularisation: 0.00283921021 *** contribution from error: -0.554204345 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54207.465 0.473010272 3.02665472 EXIT FROM BFGS code NEW_X -54207.465 0.473010272 3.02665472 ENTER BFGS code NEW_X -54207.465 0.473010272 3.02665472 EXIT FROM BFGS code FG_LNSRCH 0. 0.455207556 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.55153501 *** contribution from regularisation: 0.0028477821 *** contribution from error: -0.554382801 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54224.1654 0.455207556 23.5885563 EXIT FROM BFGS code NEW_X -54224.1654 0.455207556 23.5885563 ENTER BFGS code NEW_X -54224.1654 0.455207556 23.5885563 EXIT FROM BFGS code FG_LNSRCH 0. 0.442016989 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.551738322 *** contribution from regularisation: 0.00277984492 *** contribution from error: -0.554518163 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54244.1514 0.442016989 -22.5051651 EXIT FROM BFGS code NEW_X -54244.1514 0.442016989 -22.5051651 ENTER BFGS code NEW_X -54244.1514 0.442016989 -22.5051651 EXIT FROM BFGS code FG_LNSRCH 0. 0.437838495 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.551836014 *** contribution from regularisation: 0.00278197112 *** contribution from error: -0.554618001 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54253.7559 0.437838495 -8.12463284 EXIT FROM BFGS code NEW_X -54253.7559 0.437838495 -8.12463284 ENTER BFGS code NEW_X -54253.7559 0.437838495 -8.12463284 EXIT FROM BFGS code FG_LNSRCH 0. 0.430591822 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.551968098 *** contribution from regularisation: 0.00271291751 *** contribution from error: -0.554681003 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54266.7441 0.430591822 1.61057973 EXIT FROM BFGS code NEW_X -54266.7441 0.430591822 1.61057973 ENTER BFGS code NEW_X -54266.7441 0.430591822 1.61057973 EXIT FROM BFGS code FG_LNSRCH 0. 0.410690337 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 73.6243896 sigma out 15 active outputs RANK 2 NODE 3 --> 30.8613491 sigma out 15 active outputs RANK 3 NODE 1 --> 30.5919571 sigma out 15 active outputs RANK 4 NODE 10 --> 27.1906376 sigma out 15 active outputs RANK 5 NODE 11 --> 16.9159679 sigma out 15 active outputs RANK 6 NODE 12 --> 15.8800659 sigma out 15 active outputs RANK 7 NODE 8 --> 15.7490673 sigma out 15 active outputs RANK 8 NODE 5 --> 13.7881374 sigma out 15 active outputs RANK 9 NODE 6 --> 10.7814531 sigma out 15 active outputs RANK 10 NODE 9 --> 9.95655918 sigma out 15 active outputs RANK 11 NODE 7 --> 8.50078011 sigma out 15 active outputs RANK 12 NODE 4 --> 4.9851203 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 86.8869095 sigma in 12act. ( 86.5175323 sig out 1act.) RANK 2 NODE 3 --> 28.8896809 sigma in 12act. ( 27.6584473 sig out 1act.) RANK 3 NODE 9 --> 16.8982468 sigma in 12act. ( 18.3107395 sig out 1act.) RANK 4 NODE 1 --> 15.46562 sigma in 12act. ( 15.125453 sig out 1act.) RANK 5 NODE 2 --> 12.2696924 sigma in 12act. ( 12.3398342 sig out 1act.) RANK 6 NODE 7 --> 9.29859066 sigma in 12act. ( 8.66244316 sig out 1act.) RANK 7 NODE 12 --> 8.3752861 sigma in 12act. ( 8.36003494 sig out 1act.) RANK 8 NODE 14 --> 6.34992886 sigma in 12act. ( 4.77165794 sig out 1act.) RANK 9 NODE 10 --> 4.85441113 sigma in 12act. ( 3.7348187 sig out 1act.) RANK 10 NODE 15 --> 4.39708281 sigma in 12act. ( 2.73723698 sig out 1act.) RANK 11 NODE 6 --> 3.78200006 sigma in 12act. ( 3.84295583 sig out 1act.) RANK 12 NODE 13 --> 3.19823122 sigma in 12act. ( 1.30961728 sig out 1act.) RANK 13 NODE 4 --> 2.74004865 sigma in 12act. ( 1.03037441 sig out 1act.) RANK 14 NODE 8 --> 1.74404776 sigma in 12act. ( 1.44166803 sig out 1act.) RANK 15 NODE 11 --> 1.72873342 sigma in 12act. ( 0.918256521 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 86.5175323 sigma out 1act.( 86.8869095 sig in 12act.) RANK 2 NODE 3 --> 27.6584473 sigma out 1act.( 28.8896809 sig in 12act.) RANK 3 NODE 9 --> 18.3107395 sigma out 1act.( 16.8982468 sig in 12act.) RANK 4 NODE 1 --> 15.125453 sigma out 1act.( 15.46562 sig in 12act.) RANK 5 NODE 2 --> 12.3398342 sigma out 1act.( 12.2696924 sig in 12act.) RANK 6 NODE 7 --> 8.66244316 sigma out 1act.( 9.29859066 sig in 12act.) RANK 7 NODE 12 --> 8.36003494 sigma out 1act.( 8.3752861 sig in 12act.) RANK 8 NODE 14 --> 4.77165794 sigma out 1act.( 6.34992886 sig in 12act.) RANK 9 NODE 6 --> 3.84295583 sigma out 1act.( 3.78200006 sig in 12act.) RANK 10 NODE 10 --> 3.7348187 sigma out 1act.( 4.85441113 sig in 12act.) RANK 11 NODE 15 --> 2.73723698 sigma out 1act.( 4.39708281 sig in 12act.) RANK 12 NODE 8 --> 1.44166803 sigma out 1act.( 1.74404776 sig in 12act.) RANK 13 NODE 13 --> 1.30961728 sigma out 1act.( 3.19823122 sig in 12act.) RANK 14 NODE 4 --> 1.03037441 sigma out 1act.( 2.74004865 sig in 12act.) RANK 15 NODE 11 --> 0.918256521 sigma out 1act.( 1.72873342 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 95.7925491 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.552173078 *** contribution from regularisation: 0.00256736926 *** contribution from error: -0.554740429 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54286.897 0.410690337 12.0436106 EXIT FROM BFGS code NEW_X -54286.897 0.410690337 12.0436106 ENTER BFGS code NEW_X -54286.897 0.410690337 12.0436106 EXIT FROM BFGS code FG_LNSRCH 0. 0.387562662 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.551910043 *** contribution from regularisation: 0.00254619727 *** contribution from error: -0.554456234 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54261.0373 0.387562662 31.5961552 EXIT FROM BFGS code FG_LNSRCH 0. 0.405021638 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.551948667 *** contribution from regularisation: 0.00283927261 *** contribution from error: -0.554787934 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54264.8346 0.405021638 16.6439743 EXIT FROM BFGS code FG_LNSRCH 0. 0.410278797 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.552027762 *** contribution from regularisation: 0.00271909474 *** contribution from error: -0.554746866 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54272.608 0.410278797 12.4741192 EXIT FROM BFGS code FG_LNSRCH 0. 0.410685897 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.552016437 *** contribution from regularisation: 0.00272409036 *** contribution from error: -0.554740548 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54271.4954 0.410685897 12.286603 EXIT FROM BFGS code FG_LNSRCH 0. 0.410690337 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.552039683 *** contribution from regularisation: 0.00270077074 *** contribution from error: -0.554740429 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54273.7816 0.410690337 12.1347456 EXIT FROM BFGS code FG_LNSRCH 0. 0.410690337 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.552021503 *** contribution from regularisation: 0.00271895435 *** contribution from error: -0.554740429 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54271.9939 0.410690337 12.2139511 EXIT FROM BFGS code FG_LNSRCH 0. 0.410690337 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.552027941 *** contribution from regularisation: 0.00271248911 *** contribution from error: -0.554740429 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54272.6295 0.410690337 12.3051882 EXIT FROM BFGS code FG_LNSRCH 0. 0.410690337 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.552035749 *** contribution from regularisation: 0.00270467717 *** contribution from error: -0.554740429 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54273.3976 0.410690337 12.2130203 EXIT FROM BFGS code NEW_X -54273.3976 0.410690337 12.2130203 ENTER BFGS code NEW_X -54273.3976 0.410690337 12.2130203 EXIT FROM BFGS code CONVERGENC -54273.3976 0.410690337 12.2130203 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 117.588959 sigma out 15 active outputs RANK 2 NODE 1 --> 47.1849136 sigma out 15 active outputs RANK 3 NODE 3 --> 46.1418381 sigma out 15 active outputs RANK 4 NODE 10 --> 42.6990623 sigma out 15 active outputs RANK 5 NODE 11 --> 26.1874828 sigma out 15 active outputs RANK 6 NODE 8 --> 24.3120461 sigma out 15 active outputs RANK 7 NODE 12 --> 23.6869106 sigma out 15 active outputs RANK 8 NODE 5 --> 21.2608414 sigma out 15 active outputs RANK 9 NODE 6 --> 16.1266251 sigma out 15 active outputs RANK 10 NODE 9 --> 15.3423309 sigma out 15 active outputs RANK 11 NODE 7 --> 12.7317972 sigma out 15 active outputs RANK 12 NODE 4 --> 7.36458015 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 137.53479 sigma in 12act. ( 136.706314 sig out 1act.) RANK 2 NODE 3 --> 44.2570343 sigma in 12act. ( 43.5289459 sig out 1act.) RANK 3 NODE 9 --> 25.8548698 sigma in 12act. ( 28.2542477 sig out 1act.) RANK 4 NODE 1 --> 23.5364952 sigma in 12act. ( 23.6649837 sig out 1act.) RANK 5 NODE 2 --> 18.4848995 sigma in 12act. ( 18.8471069 sig out 1act.) RANK 6 NODE 7 --> 13.6009789 sigma in 12act. ( 13.5324039 sig out 1act.) RANK 7 NODE 12 --> 12.4985924 sigma in 12act. ( 12.7312555 sig out 1act.) RANK 8 NODE 14 --> 9.2884016 sigma in 12act. ( 7.33247328 sig out 1act.) RANK 9 NODE 10 --> 6.59462929 sigma in 12act. ( 5.79738903 sig out 1act.) RANK 10 NODE 15 --> 5.94046021 sigma in 12act. ( 4.26789474 sig out 1act.) RANK 11 NODE 6 --> 5.45756292 sigma in 12act. ( 5.96297503 sig out 1act.) RANK 12 NODE 13 --> 3.63798404 sigma in 12act. ( 2.02732468 sig out 1act.) RANK 13 NODE 4 --> 3.15466404 sigma in 12act. ( 1.57798696 sig out 1act.) RANK 14 NODE 8 --> 2.36660886 sigma in 12act. ( 2.09074998 sig out 1act.) RANK 15 NODE 11 --> 2.03470755 sigma in 12act. ( 1.38696134 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 136.706314 sigma out 1act.( 137.53479 sig in 12act.) RANK 2 NODE 3 --> 43.5289459 sigma out 1act.( 44.2570343 sig in 12act.) RANK 3 NODE 9 --> 28.2542477 sigma out 1act.( 25.8548698 sig in 12act.) RANK 4 NODE 1 --> 23.6649837 sigma out 1act.( 23.5364952 sig in 12act.) RANK 5 NODE 2 --> 18.8471069 sigma out 1act.( 18.4848995 sig in 12act.) RANK 6 NODE 7 --> 13.5324039 sigma out 1act.( 13.6009789 sig in 12act.) RANK 7 NODE 12 --> 12.7312555 sigma out 1act.( 12.4985924 sig in 12act.) RANK 8 NODE 14 --> 7.33247328 sigma out 1act.( 9.2884016 sig in 12act.) RANK 9 NODE 6 --> 5.96297503 sigma out 1act.( 5.45756292 sig in 12act.) RANK 10 NODE 10 --> 5.79738903 sigma out 1act.( 6.59462929 sig in 12act.) RANK 11 NODE 15 --> 4.26789474 sigma out 1act.( 5.94046021 sig in 12act.) RANK 12 NODE 8 --> 2.09074998 sigma out 1act.( 2.36660886 sig in 12act.) RANK 13 NODE 13 --> 2.02732468 sigma out 1act.( 3.63798404 sig in 12act.) RANK 14 NODE 4 --> 1.57798696 sigma out 1act.( 3.15466404 sig in 12act.) RANK 15 NODE 11 --> 1.38696134 sigma out 1act.( 2.03470755 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 150.984039 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.552026927 *** contribution from regularisation: 0.00271353009 *** contribution from error: -0.554740429 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done