NNInput NNInputs_130.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= 17146 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 = 4315 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4315 Chosen entries: 4315 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.336295 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4315 Entries to split: 4315 Test with : 2157 Train with : 2157 ********************************************* * 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= 4315 for Signal Prepared event 0 for Signal with 4315 events ====Entry 0 Variable Ht : 95.379 Variable LepAPt : 31.0285 Variable LepBPt : 22.5826 Variable MetSigLeptonsJets : 3.20226 Variable MetSpec : 26.5642 Variable SumEtLeptonsJets : 68.8144 Variable VSumJetLeptonsPt : 56.5929 Variable addEt : 80.1757 Variable dPhiLepSumMet : 2.48969 Variable dPhiLeptons : 0.417848 Variable dRLeptons : 0.518885 Variable lep1_E : 31.4266 Variable lep2_E : 22.8296 ===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 = 2130 Ht = 95.379 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.0285 LepAPt = 31.0285 LepBEt = 22.583 LepBPt = 22.5826 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.5642 MetDelPhi = 2.24738 MetSig = 2.067 MetSigLeptonsJets = 3.20226 MetSpec = 26.5642 Mjj = 0 MostCentralJetEta = -2.20148 MtllMet = 80.8037 Njets = 1 SB = 0 SumEt = 165.162 SumEtJets = 0 SumEtLeptonsJets = 68.8144 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 56.5929 addEt = 80.1757 dPhiLepSumMet = 2.48969 dPhiLeptons = 0.417848 dRLeptons = 0.518885 diltype = 54 dimass = 13.6916 event = 368 jet1_Et = 15.2033 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 31.4266 lep2_E = 22.8296 rand = 0.999742 run = 195341 weight = 1.85903e-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= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===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 = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 2.46564 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 386 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 17146 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 386 negative weights. Signal fraction: 73.8159943 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.8076553 67.3684464 69.1790085 70.7036743 71.3599472 72.0683975 74.2099991 75.0542679 76.1424789 77.0368805 77.0980377 78.361969 79.6677246 80.5129089 81.0085754 81.2171783 81.9197769 82.4940491 83.1981812 83.4115753 83.6637268 84.6520386 86.169487 86.878212 87.5432205 88.5438156 88.6511307 89.7452545 90.7237549 91.6540146 92.6652222 93.1538849 94.7584534 95.9554214 96.3260345 96.8595657 98.0030212 98.5086136 99.0419006 100.22226 101.180267 102.249313 103.311546 103.668152 104.184631 104.809311 105.886154 106.719284 107.109756 107.946648 108.544411 109.38958 110.26062 111.442825 112.73288 113.392128 113.890533 114.654831 115.811569 116.883629 117.692909 118.554199 119.246864 120.50528 121.59919 122.449295 123.666458 124.67527 126.380737 127.551842 128.655426 130.403564 131.620361 132.94783 134.404404 135.819092 136.977158 138.541168 140.271194 142.424866 144.317307 146.224579 148.183167 150.544067 153.591171 155.335114 157.605286 159.9384 163.213348 167.933289 170.768143 174.969833 178.587662 184.44693 191.89975 203.190598 215.399017 233.500275 258.187683 281.719543 543.582886 ------------------------------ Transdef: Tab for variable 3 20.0094738 20.4587555 20.8621292 21.0872478 21.1756783 21.4307022 21.5006752 21.9116268 22.2249184 22.4988785 22.6217194 22.8366623 23.074028 23.2222328 23.5395985 23.7076988 23.9029827 24.1254902 24.347784 24.5718021 24.8673649 24.9621696 25.224575 25.3228703 25.5666752 25.6540051 25.9082279 26.1601906 26.3335266 26.4946003 26.7768745 27.0202236 27.0905609 27.1487808 27.2227421 27.3489437 27.5352688 27.7442169 27.9765244 28.1078682 28.2992783 28.412529 28.6082344 28.7094154 28.9782944 29.1048946 29.3387146 29.5796509 29.7016487 29.7474804 29.8287945 30.0376282 30.1563988 30.4332447 30.7094803 30.9833908 31.245409 31.5461693 31.7186623 31.826786 32.1271896 32.2030602 32.3645821 32.4813271 32.7618027 33.0209427 33.3166733 33.6152496 33.7087097 33.8023834 33.9462967 34.2161903 34.5496597 34.7775497 35.0461731 35.1878052 35.4272919 35.5947075 35.7102089 35.943573 36.3862534 36.7562103 37.05439 37.5397339 38.0916519 38.6145401 39.094841 39.5867691 40.2165604 40.922802 41.5774994 42.3874054 43.2139435 43.8891335 45.0666847 46.7820702 48.2455215 50.8281174 55.2275124 71.1453094 109.76886 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1907997 10.3290939 10.4314346 10.4500885 10.4936228 10.5273247 10.6137123 10.663044 10.7594757 10.9226255 11.0315247 11.1208372 11.2442379 11.3669367 11.5033245 11.5761604 11.6631413 11.8446236 11.9138737 11.9931879 12.1085129 12.3010921 12.4022446 12.6503201 12.8089657 12.9973421 13.159626 13.312192 13.4686346 13.5925617 13.6176329 13.724535 13.7754126 13.9277344 14.1936436 14.4561024 14.6552916 14.8093061 15.0557156 15.1884594 15.2455378 15.5436678 15.6900921 15.817585 15.9522028 16.0012646 16.275938 16.5242386 16.7352142 16.8241806 17.0387573 17.2735367 17.4888916 17.700098 17.9331703 18.0390739 18.3574219 18.6149597 18.9534454 19.2322063 19.5258446 19.6237526 19.887619 20.1008148 20.2328682 20.3159256 20.4313774 20.5772057 20.6869869 20.8699646 21.0652046 21.1691513 21.3342667 21.544878 21.7430191 21.9944572 22.1847801 22.3792248 22.620697 22.8800774 23.0914459 23.3141499 23.5742111 23.8308296 24.0829601 24.3941841 24.6166573 24.9436474 25.3521118 25.7591038 26.0745277 26.4935455 26.9387894 27.2949238 27.8584938 28.0960236 28.6760521 29.8276863 31.2464008 38.2633057 ------------------------------ Transdef: Tab for variable 5 2.10590816 2.98032475 3.17451763 3.40872574 3.60588932 3.77911544 3.93205404 4.0942831 4.1463728 4.2940855 4.46276855 4.61317682 4.71966743 4.80760002 4.95633602 5.04349899 5.12400103 5.16308117 5.22064543 5.27054024 5.33594513 5.38053417 5.44385576 5.47341537 5.52001858 5.53610277 5.56114483 5.63210487 5.66329193 5.74522638 5.78661823 5.85810661 5.90981007 5.97342539 5.99894333 6.05332375 6.11724567 6.1958971 6.25629711 6.28593111 6.32976103 6.37779856 6.44184875 6.48779154 6.52682114 6.5790329 6.63541651 6.657516 6.67037201 6.71889591 6.74488878 6.77554226 6.79359436 6.81756306 6.85523605 6.8735733 6.88917542 6.92179823 6.9703598 7.02100658 7.06749916 7.12021446 7.17228127 7.20760918 7.22770119 7.27149296 7.31482601 7.36437416 7.38466072 7.43501854 7.48461151 7.5188818 7.58233547 7.62563324 7.65939617 7.70232582 7.75898743 7.82406521 7.89802837 7.94320202 7.98011303 8.02565956 8.06004715 8.08805466 8.14329338 8.19017982 8.23138046 8.30672455 8.38318253 8.50253105 8.59313965 8.70780373 8.81980896 8.89748192 9.0051899 9.1879673 9.35754967 9.6401329 10.2606878 11.745822 18.5847588 ------------------------------ Transdef: Tab for variable 6 25.0010986 26.2390995 26.5968761 27.3300343 28.0012817 29.3758411 30.4226074 31.0115738 31.4553776 32.2739716 32.6604996 33.1556015 33.5414124 34.1849594 34.898735 35.5642624 35.7351685 36.2272034 36.8845215 37.532814 38.1327515 38.5054398 38.7179565 39.144146 39.6471481 40.0653687 40.3595963 40.8721085 41.1354218 41.5449562 42.0848923 42.2647095 42.5691528 42.9860573 43.1431274 43.5144043 43.8845062 44.0860214 44.6859245 45.1650314 45.4140549 45.7486038 46.038723 46.6148643 47.0016441 47.4042587 47.7503433 47.9823456 48.2997704 48.7973022 49.1924515 49.6010056 49.8426895 50.3082199 50.5805969 50.9711723 51.5281029 51.8936081 52.3215103 52.8421211 53.3151169 53.8503456 54.1422005 54.3879242 55.0291367 55.3635445 55.8651733 56.2311401 56.5599823 57.0449295 57.4272003 57.7999535 58.2017899 58.8683395 59.4006958 59.7192307 60.2025375 60.8312302 61.3793068 62.0137215 62.5654755 63.072258 63.812191 64.6052856 65.2768097 65.9753342 66.6473083 67.4613266 68.3775558 69.5214462 70.8457031 72.4899826 74.4347382 76.215889 79.0568008 81.862442 84.8306046 90.52108 97.5743256 121.857193 188.303986 ------------------------------ Transdef: Tab for variable 7 30.250906 33.1482697 34.6356163 35.4067612 36.2681618 36.8764534 37.2159729 37.5644226 38.1578293 38.5671349 38.7728004 38.8853149 39.1413651 39.5682793 40.050972 40.1909256 40.3365517 40.6213837 41.3168716 41.5391083 42.2282867 42.6303482 42.7225342 42.9472504 43.4415169 44.3323822 44.6006241 44.8805923 44.9518471 45.4647903 45.7981873 46.246315 46.524971 46.997551 47.6742744 48.2452545 48.5936508 49.3012085 49.9232025 50.6335106 50.9944382 51.5380707 52.1489639 52.6869125 53.1745682 53.7341652 54.3544693 54.9710846 55.4185448 56.0239258 56.4305649 56.9075775 57.6846924 58.2224159 58.6470222 59.4990425 60.1346512 60.8359146 61.487114 62.2755585 62.8284149 63.5187988 64.30896 65.0829849 65.8682632 66.9205017 68.2649384 69.4653168 70.3937683 71.2173767 72.5681534 73.8133392 75.1100006 76.5414963 76.8803558 78.1923981 79.7953186 81.1620941 83.4768829 85.4528656 87.0367737 89.1025543 90.8296051 92.1777039 94.2452621 95.8496552 97.4498444 99.7809601 102.786896 106.011475 109.514183 112.267944 115.542175 118.960709 123.709045 130.620438 137.866913 143.707977 154.562363 181.844223 329.532623 ------------------------------ Transdef: Tab for variable 8 6.57582855 25.9808369 28.5125961 30.1527443 32.0059814 33.392765 33.7687988 34.1125641 34.4502411 35.3167038 35.5254135 35.7401505 36.2097397 36.9623413 37.2922592 37.6676369 37.8645859 38.0958252 38.5165558 38.8502007 38.8855553 38.9471741 39.2657242 39.389267 39.5904694 39.7701721 39.8073997 40.1638031 40.6851807 40.7660294 41.1470947 41.4940796 42.0802536 42.5377502 42.678257 42.998024 43.1463242 43.6700172 43.7267075 44.110527 44.3325882 44.5746689 44.8392715 44.966507 45.373188 45.8337021 46.1380119 46.7801552 47.1845436 47.5568199 48.1043167 48.2931442 48.7124329 48.8069458 49.1520119 49.5690613 50.2808304 50.6416397 51.0928955 51.5641785 51.9765167 52.3685799 52.7663803 53.2004089 53.5434723 54.0747528 54.329689 54.6564102 55.0656357 55.4163742 55.9724121 56.4599609 56.823288 57.2190704 57.7631531 58.3175354 58.8593521 59.4354553 60.0808029 60.8938866 61.4541855 62.1291428 62.9895401 63.7120857 64.1073837 65.0639038 65.4977264 66.8053589 67.848526 69.3952026 70.3460388 71.7541351 74.1924591 76.231369 79.0906906 82.7713776 86.0085144 91.6347351 102.443436 136.770905 223.688583 ------------------------------ Transdef: Tab for variable 9 55.8076553 66.592041 68.6025391 69.6232071 70.6874008 70.8961639 71.666687 72.7500916 74.2099991 75.0510864 75.4654007 77.0152054 77.0636749 77.9332581 78.6411438 78.8119049 79.7735977 80.5776367 80.9730606 81.2171783 81.5533905 82.1875153 82.8008118 83.1981812 83.4156876 83.7190857 84.651535 85.3267975 86.1928864 86.9568939 87.9218369 88.5438156 88.6493073 89.2881775 90.0888977 90.5669327 90.9698181 91.6526031 92.1632996 92.8309402 93.2019653 94.0087585 94.7436752 95.4936676 96.0407715 96.3648605 96.8595657 97.371994 98.132164 98.4527512 98.9049072 99.3357239 99.9953766 100.832123 101.289803 101.860275 102.614502 103.224091 103.933105 104.21904 104.802727 105.289185 106.250755 106.808685 107.401016 108.091293 108.658432 109.34549 110.008026 110.712074 111.485382 112.388733 113.151894 113.733017 114.457924 115.223717 116.126053 116.782059 117.505249 118.233856 118.873306 119.618202 120.605209 121.530731 122.296974 123.088318 124.014412 124.912109 126.151337 127.293045 128.149811 129.426178 131.285065 132.607056 134.906281 137.699829 140.078751 146.714722 157.109512 192.611618 294.169617 ------------------------------ Transdef: Tab for variable 10 0.222654432 1.03784609 1.271451 1.47865558 1.59050345 1.69916153 1.80238307 1.92023385 1.97453904 2.0576725 2.12805557 2.18811703 2.2382164 2.29211426 2.33850765 2.3719418 2.40807939 2.44132853 2.47109413 2.49791408 2.52815056 2.54608965 2.56782579 2.58694744 2.61828899 2.64194107 2.67857099 2.69860482 2.7268014 2.74158001 2.76100945 2.77052212 2.78598595 2.80740929 2.82113504 2.83567619 2.84962535 2.85199237 2.85568047 2.86863923 2.88221431 2.8908031 2.89752531 2.90672803 2.91922808 2.9340291 2.94296837 2.94699717 2.95218563 2.95717049 2.96046495 2.96620512 2.97203255 2.97932243 2.98452997 2.98938489 2.99270153 2.99427199 3.00088334 3.00394702 3.00832915 3.0124321 3.01507473 3.02138758 3.02559805 3.03126907 3.03695369 3.03924942 3.04635692 3.05120659 3.05385613 3.05758381 3.06249571 3.06599426 3.06710172 3.07080603 3.07279873 3.07483864 3.07979679 3.08522987 3.08877516 3.0918355 3.0943346 3.09912109 3.10159874 3.10445023 3.10588169 3.10924268 3.11206865 3.11343527 3.1153481 3.11898851 3.12102389 3.12421036 3.12777281 3.12881804 3.13169789 3.13271022 3.13539577 3.13856649 3.1415844 ------------------------------ Transdef: Tab for variable 11 0.000178339236 0.00517261028 0.0112676546 0.0197221041 0.0237620696 0.0259616375 0.0404506028 0.0507861972 0.0607780814 0.0706241131 0.0840649605 0.0947085619 0.0989894867 0.106447577 0.117359251 0.126081511 0.134769917 0.148719728 0.15894413 0.165000677 0.174768329 0.183678508 0.197194502 0.207224846 0.220347777 0.233205676 0.24446249 0.25436759 0.261060357 0.263684273 0.266052485 0.275566638 0.284780979 0.292897463 0.301930904 0.30956617 0.321771741 0.329384923 0.333377957 0.341195762 0.34958005 0.355523229 0.361630559 0.365491033 0.372299671 0.375327706 0.381470203 0.38673532 0.391146958 0.39535138 0.400372595 0.405044913 0.409891844 0.413140297 0.416315615 0.418730527 0.422677159 0.427503973 0.433315873 0.437450051 0.439079046 0.441007853 0.445748568 0.44675827 0.451533616 0.454746485 0.459079742 0.463574827 0.467362106 0.474431157 0.479870617 0.490797758 0.498730838 0.507605135 0.516538024 0.520116091 0.527263761 0.530823708 0.538174152 0.547548771 0.554558277 0.565683126 0.575880766 0.57966733 0.587723374 0.598297417 0.60352242 0.613349915 0.626085639 0.639819145 0.644906282 0.64943862 0.654440999 0.673930347 0.697285414 0.713250875 0.73542726 0.774058759 0.806325197 0.861296892 1.06477022 ------------------------------ Transdef: Tab for variable 12 0.2193266 0.387150854 0.4024252 0.407587081 0.412351251 0.413655818 0.417151093 0.422043085 0.4251872 0.428552866 0.433799386 0.438157618 0.442225069 0.445085675 0.447016835 0.451161444 0.454411268 0.457876444 0.46006614 0.463233411 0.464583546 0.467268974 0.470116973 0.473365903 0.475488663 0.477927506 0.479908705 0.483319402 0.486322522 0.490416765 0.493225396 0.497028649 0.501623511 0.504752398 0.508623481 0.512513876 0.516424716 0.520017266 0.522386312 0.526278615 0.529627264 0.532455087 0.536113381 0.540866375 0.546352863 0.549818993 0.552725196 0.555700779 0.559210658 0.562838078 0.566537499 0.569429994 0.573291302 0.577018201 0.580348492 0.585196137 0.589363337 0.593989015 0.595893145 0.601280093 0.603231192 0.604597211 0.609286726 0.614503503 0.620461404 0.62299329 0.62955308 0.632323205 0.634564877 0.639838934 0.646102071 0.649018466 0.651436508 0.655890763 0.659911871 0.66595149 0.669774175 0.673402667 0.678235948 0.678520143 0.688006282 0.690926731 0.700617969 0.703089654 0.713348627 0.718602777 0.725840688 0.730169654 0.741513014 0.753409266 0.76343751 0.773598075 0.780251026 0.792765975 0.79641223 0.804641008 0.833976507 0.87710464 0.900334001 0.933775365 1.12655604 ------------------------------ Transdef: Tab for variable 13 20.1440792 21.999157 22.4989281 23.3329697 23.6603851 24.4097157 24.9139862 25.3214226 25.631485 25.7522392 26.3033161 26.8279915 27.0812263 27.2795563 27.585968 28.0810471 28.3735008 28.9209824 29.3199883 29.5638714 29.6901875 29.977459 30.1274452 30.255415 30.5143986 30.8419609 30.9996185 31.4988461 31.8015747 31.919857 32.2963982 32.5384254 33.0076103 33.3519363 33.684082 34.2136955 34.5145416 34.8375931 35.0734978 35.3078003 35.4812927 35.5952644 35.9055481 36.0933456 36.2560654 36.6280899 36.9548645 37.2112846 37.4467316 37.9126549 38.3332367 38.7508011 39.1802979 39.5281448 39.8125229 40.118187 40.6395683 41.0514488 41.294899 41.7089767 42.2792664 42.7285347 43.317543 43.7872581 44.3566284 44.6178284 45.219162 45.943573 46.3620834 46.4764824 46.8675995 47.4671478 47.675705 48.2497177 48.9606476 49.7348862 50.6763306 51.6610069 52.6251526 53.5102043 54.8118668 56.0578194 57.4669418 58.7976303 59.764328 60.4536972 61.8573685 63.225029 64.4362869 65.3703003 66.7238617 68.3949738 71.7547073 75.2024841 77.5930328 81.0027466 82.9963379 86.7732544 93.038681 114.701675 192.369995 ------------------------------ Transdef: Tab for variable 14 10.0093269 10.4484749 10.6580296 10.9487677 11.3843241 11.6539879 11.8919792 12.3152008 12.5204735 12.8295784 13.2728586 13.6670427 13.8520184 14.0487709 14.4514265 14.6984367 15.0522919 15.189249 15.3566647 15.73353 15.9525299 16.2736359 16.3768654 16.5300961 16.7812729 16.9076099 17.1050034 17.3632278 17.7185822 17.8599453 18.1141357 18.2769279 18.5099487 18.7505093 18.7774544 19.0923576 19.3252602 19.486557 19.7328033 20.001709 20.3502712 20.5787163 20.7500229 20.9919682 21.2409592 21.476265 21.5764713 21.7473736 22.0211487 22.2841377 22.5101852 22.6263199 22.8815594 23.1373444 23.2893124 23.4878349 23.7325954 24.0234432 24.3090382 24.613472 24.9132328 25.0709839 25.2925262 25.6170654 25.9293079 26.0867462 26.4158592 26.700058 27.0193748 27.2478371 27.5831833 27.8902206 28.1132774 28.2123795 28.6220589 29.0414925 29.4949722 29.9357147 30.5435486 30.9353294 31.3626404 31.5396843 31.8146229 32.21632 32.6571426 33.1204071 33.6322861 34.5313721 35.2469559 36.2010803 37.2441483 38.3766022 40.1504021 41.3439178 43.1233749 44.9094849 47.6702805 50.0313301 54.4353752 62.2299538 89.625824 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 0.9 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 44.0 13.9 34.5 0.8 23.9 45.1 30.8 36.6 -29.9 -6.2 -17.3 4.5 24.5 2 44.0 100.0 49.4 39.3 22.7 65.1 92.6 69.0 86.0 -46.8 -23.2 -37.7 28.4 27.4 3 13.9 49.4 100.0 12.5 2.0 24.1 51.3 43.9 58.9 -4.8 -22.8 -44.5 64.7 8.3 4 34.5 39.3 12.5 100.0 0.5 20.0 42.2 34.7 45.1 -7.0 -25.5 -50.4 5.9 77.4 5 0.8 22.7 2.0 0.5 100.0 80.9 -10.3 38.2 56.2 30.2 -0.8 -3.7 -1.9 -0.5 6 23.9 65.1 24.1 20.0 80.9 100.0 38.9 68.9 83.0 -2.8 -9.9 -20.3 11.8 12.7 7 45.1 92.6 51.3 42.2 -10.3 38.9 100.0 62.7 69.0 -55.8 -25.2 -39.2 30.6 30.1 8 30.8 69.0 43.9 34.7 38.2 68.9 62.7 100.0 77.3 -10.1 -24.1 -35.7 25.2 24.7 9 36.6 86.0 58.9 45.1 56.2 83.0 69.0 77.3 100.0 -15.4 -23.6 -45.3 34.1 32.7 10 -29.9 -46.8 -4.8 -7.0 30.2 -2.8 -55.8 -10.1 -15.4 100.0 0.1 -1.0 1.3 0.8 11 -6.2 -23.2 -22.8 -25.5 -0.8 -9.9 -25.2 -24.1 -23.6 0.1 100.0 54.0 -16.7 -25.5 12 -17.3 -37.7 -44.5 -50.4 -3.7 -20.3 -39.2 -35.7 -45.3 -1.0 54.0 100.0 -29.8 -42.9 13 4.5 28.4 64.7 5.9 -1.9 11.8 30.6 25.2 34.1 1.3 -16.7 -29.8 100.0 31.5 14 24.5 27.4 8.3 77.4 -0.5 12.7 30.1 24.7 32.7 0.8 -25.5 -42.9 31.5 100.0 TOTAL CORRELATION TO TARGET (diagonal) 100.359162 TOTAL CORRELATION OF ALL VARIABLES 51.2543852 ROUND 1: MAX CORR ( 51.2523999) AFTER KILLING INPUT VARIABLE 8 CONTR 0.451109775 ROUND 2: MAX CORR ( 51.2332678) AFTER KILLING INPUT VARIABLE 6 CONTR 1.40027506 ROUND 3: MAX CORR ( 51.211533) AFTER KILLING INPUT VARIABLE 14 CONTR 1.49218649 ROUND 4: MAX CORR ( 51.1775263) AFTER KILLING INPUT VARIABLE 2 CONTR 1.86598916 ROUND 5: MAX CORR ( 51.1390271) AFTER KILLING INPUT VARIABLE 12 CONTR 1.98471603 ROUND 6: MAX CORR ( 51.0557157) AFTER KILLING INPUT VARIABLE 13 CONTR 2.91787387 ROUND 7: MAX CORR ( 50.8205016) AFTER KILLING INPUT VARIABLE 5 CONTR 4.89517406 ROUND 8: MAX CORR ( 50.4385214) AFTER KILLING INPUT VARIABLE 11 CONTR 6.21923907 ROUND 9: MAX CORR ( 49.7122691) AFTER KILLING INPUT VARIABLE 3 CONTR 8.52846649 ROUND 10: MAX CORR ( 49.1490112) AFTER KILLING INPUT VARIABLE 9 CONTR 7.46219789 ROUND 11: MAX CORR ( 48.1880817) AFTER KILLING INPUT VARIABLE 10 CONTR 9.67130248 ROUND 12: MAX CORR ( 45.0599608) AFTER KILLING INPUT VARIABLE 4 CONTR 17.0789679 LAST REMAINING VARIABLE: 7 total correlation to target: 51.2543852 % total significance: 27.7962171 sigma correlations of single variables to target: variable 2: 44.0449148 % , in sigma: 23.8863857 variable 3: 13.9453584 % , in sigma: 7.56283017 variable 4: 34.5007924 % , in sigma: 18.7104287 variable 5: 0.807473819 % , in sigma: 0.43790824 variable 6: 23.9300619 % , in sigma: 12.9777226 variable 7: 45.0599608 % , in sigma: 24.4368643 variable 8: 30.823693 % , in sigma: 16.7162685 variable 9: 36.6111144 % , in sigma: 19.854896 variable 10: -29.8561058 % , in sigma: 16.1915277 variable 11: -6.18572184 % , in sigma: 3.3546333 variable 12: -17.3373957 % , in sigma: 9.4023958 variable 13: 4.5004626 % , in sigma: 2.44068552 variable 14: 24.5472178 % , in sigma: 13.3124179 variables sorted by significance: 1 most relevant variable 7 corr 45.0599594 , in sigma: 24.4368635 2 most relevant variable 4 corr 17.078968 , in sigma: 9.26224561 3 most relevant variable 10 corr 9.6713028 , in sigma: 5.24492941 4 most relevant variable 9 corr 7.46219778 , in sigma: 4.04689021 5 most relevant variable 3 corr 8.52846622 , in sigma: 4.62514765 6 most relevant variable 11 corr 6.21923923 , in sigma: 3.37281041 7 most relevant variable 5 corr 4.89517403 , in sigma: 2.65474495 8 most relevant variable 13 corr 2.91787386 , in sigma: 1.58241788 9 most relevant variable 12 corr 1.98471606 , in sigma: 1.07634885 10 most relevant variable 2 corr 1.86598921 , in sigma: 1.01196104 11 most relevant variable 14 corr 1.49218655 , in sigma: 0.809240831 12 most relevant variable 6 corr 1.40027511 , in sigma: 0.75939553 13 most relevant variable 8 corr 0.451109767 , in sigma: 0.244645312 global correlations between input variables: variable 2: 98.8443292 % variable 3: 91.4731522 % variable 4: 89.4557221 % variable 5: 96.137948 % variable 6: 95.2541661 % variable 7: 98.5406298 % variable 8: 85.52465 % variable 9: 98.6430628 % variable 10: 72.7432763 % variable 11: 56.2507952 % variable 12: 73.082671 % variable 13: 78.4112035 % variable 14: 85.9265589 % significance loss when removing single variables: variable 2: corr = 1.89519581 % , sigma = 1.02780033 variable 3: corr = 5.54229232 % , sigma = 3.00568937 variable 4: corr = 5.15444453 % , sigma = 2.79535222 variable 5: corr = 4.87429664 % , sigma = 2.64342275 variable 6: corr = 1.47083194 % , sigma = 0.797659826 variable 7: corr = 4.1187076 % , sigma = 2.2336526 variable 8: corr = 0.451109775 % , sigma = 0.244645316 variable 9: corr = 6.89546643 % , sigma = 3.73954114 variable 10: corr = 6.95479274 % , sigma = 3.77171491 variable 11: corr = 4.24432585 % , sigma = 2.30177774 variable 12: corr = 2.08344236 % , sigma = 1.12988998 variable 13: corr = 3.23861508 % , sigma = 1.75636187 variable 14: corr = 1.545629 % , sigma = 0.838223679 Keep only 5 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 6 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 8.56352806 sigma out 15 active outputs RANK 2 NODE 1 --> 8.05995941 sigma out 15 active outputs RANK 3 NODE 2 --> 6.89735651 sigma out 15 active outputs RANK 4 NODE 5 --> 6.62959194 sigma out 15 active outputs RANK 5 NODE 3 --> 4.56396294 sigma out 15 active outputs RANK 6 NODE 4 --> 3.43401885 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 11.5157442 sigma in 6act. ( 13.0447426 sig out 1act.) RANK 2 NODE 5 --> 7.12247181 sigma in 6act. ( 8.1359272 sig out 1act.) RANK 3 NODE 12 --> 4.40306997 sigma in 6act. ( 4.40458727 sig out 1act.) RANK 4 NODE 8 --> 4.00547552 sigma in 6act. ( 4.20352221 sig out 1act.) RANK 5 NODE 7 --> 3.31034684 sigma in 6act. ( 3.7492075 sig out 1act.) RANK 6 NODE 10 --> 2.85791636 sigma in 6act. ( 3.10109305 sig out 1act.) RANK 7 NODE 14 --> 2.40344739 sigma in 6act. ( 1.75966012 sig out 1act.) RANK 8 NODE 15 --> 2.27938223 sigma in 6act. ( 2.1336329 sig out 1act.) RANK 9 NODE 1 --> 2.02883697 sigma in 6act. ( 2.25915551 sig out 1act.) RANK 10 NODE 3 --> 1.84037507 sigma in 6act. ( 1.96339107 sig out 1act.) RANK 11 NODE 4 --> 1.2883774 sigma in 6act. ( 1.18304396 sig out 1act.) RANK 12 NODE 2 --> 1.18369317 sigma in 6act. ( 1.06432498 sig out 1act.) RANK 13 NODE 6 --> 1.06710947 sigma in 6act. ( 0.723336875 sig out 1act.) RANK 14 NODE 11 --> 1.01733196 sigma in 6act. ( 0.883245289 sig out 1act.) RANK 15 NODE 9 --> 0.91392386 sigma in 6act. ( 0.744838119 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 13.0447426 sigma out 1act.( 11.5157442 sig in 6act.) RANK 2 NODE 5 --> 8.1359272 sigma out 1act.( 7.12247181 sig in 6act.) RANK 3 NODE 12 --> 4.40458727 sigma out 1act.( 4.40306997 sig in 6act.) RANK 4 NODE 8 --> 4.20352221 sigma out 1act.( 4.00547552 sig in 6act.) RANK 5 NODE 7 --> 3.7492075 sigma out 1act.( 3.31034684 sig in 6act.) RANK 6 NODE 10 --> 3.10109305 sigma out 1act.( 2.85791636 sig in 6act.) RANK 7 NODE 1 --> 2.25915551 sigma out 1act.( 2.02883697 sig in 6act.) RANK 8 NODE 15 --> 2.1336329 sigma out 1act.( 2.27938223 sig in 6act.) RANK 9 NODE 3 --> 1.96339107 sigma out 1act.( 1.84037507 sig in 6act.) RANK 10 NODE 14 --> 1.75966012 sigma out 1act.( 2.40344739 sig in 6act.) RANK 11 NODE 4 --> 1.18304396 sigma out 1act.( 1.2883774 sig in 6act.) RANK 12 NODE 2 --> 1.06432498 sigma out 1act.( 1.18369317 sig in 6act.) RANK 13 NODE 11 --> 0.883245289 sigma out 1act.( 1.01733196 sig in 6act.) RANK 14 NODE 9 --> 0.744838119 sigma out 1act.( 0.91392386 sig in 6act.) RANK 15 NODE 6 --> 0.723336875 sigma out 1act.( 1.06710947 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.8353558 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 12.7746458 sigma out 15 active outputs RANK 2 NODE 1 --> 10.7823992 sigma out 15 active outputs RANK 3 NODE 2 --> 10.0961418 sigma out 15 active outputs RANK 4 NODE 6 --> 8.92428112 sigma out 15 active outputs RANK 5 NODE 3 --> 7.64054394 sigma out 15 active outputs RANK 6 NODE 4 --> 4.41931963 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 11.4540014 sigma in 6act. ( 12.6792746 sig out 1act.) RANK 2 NODE 6 --> 7.37598562 sigma in 6act. ( 2.94026709 sig out 1act.) RANK 3 NODE 7 --> 7.1677227 sigma in 6act. ( 4.83574009 sig out 1act.) RANK 4 NODE 9 --> 6.98023176 sigma in 6act. ( 3.1547482 sig out 1act.) RANK 5 NODE 5 --> 6.80765009 sigma in 6act. ( 5.68582249 sig out 1act.) RANK 6 NODE 12 --> 6.46327496 sigma in 6act. ( 4.33520985 sig out 1act.) RANK 7 NODE 14 --> 5.50843239 sigma in 6act. ( 1.95597267 sig out 1act.) RANK 8 NODE 2 --> 4.71108055 sigma in 6act. ( 1.93403697 sig out 1act.) RANK 9 NODE 15 --> 4.70868254 sigma in 6act. ( 2.08493757 sig out 1act.) RANK 10 NODE 11 --> 4.48447418 sigma in 6act. ( 1.68620849 sig out 1act.) RANK 11 NODE 8 --> 4.47654676 sigma in 6act. ( 4.40156078 sig out 1act.) RANK 12 NODE 10 --> 3.71659803 sigma in 6act. ( 3.20050812 sig out 1act.) RANK 13 NODE 1 --> 3.65107393 sigma in 6act. ( 1.6551404 sig out 1act.) RANK 14 NODE 3 --> 3.56741261 sigma in 6act. ( 1.99293852 sig out 1act.) RANK 15 NODE 4 --> 3.22319889 sigma in 6act. ( 1.14725363 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 12.6792746 sigma out 1act.( 11.4540014 sig in 6act.) RANK 2 NODE 5 --> 5.68582249 sigma out 1act.( 6.80765009 sig in 6act.) RANK 3 NODE 7 --> 4.83574009 sigma out 1act.( 7.1677227 sig in 6act.) RANK 4 NODE 8 --> 4.40156078 sigma out 1act.( 4.47654676 sig in 6act.) RANK 5 NODE 12 --> 4.33520985 sigma out 1act.( 6.46327496 sig in 6act.) RANK 6 NODE 10 --> 3.20050812 sigma out 1act.( 3.71659803 sig in 6act.) RANK 7 NODE 9 --> 3.1547482 sigma out 1act.( 6.98023176 sig in 6act.) RANK 8 NODE 6 --> 2.94026709 sigma out 1act.( 7.37598562 sig in 6act.) RANK 9 NODE 15 --> 2.08493757 sigma out 1act.( 4.70868254 sig in 6act.) RANK 10 NODE 3 --> 1.99293852 sigma out 1act.( 3.56741261 sig in 6act.) RANK 11 NODE 14 --> 1.95597267 sigma out 1act.( 5.50843239 sig in 6act.) RANK 12 NODE 2 --> 1.93403697 sigma out 1act.( 4.71108055 sig in 6act.) RANK 13 NODE 11 --> 1.68620849 sigma out 1act.( 4.48447418 sig in 6act.) RANK 14 NODE 1 --> 1.6551404 sigma out 1act.( 3.65107393 sig in 6act.) RANK 15 NODE 4 --> 1.14725363 sigma out 1act.( 3.22319889 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.5005627 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.435311168 *** contribution from regularisation: 0.0234907288 *** contribution from error: -0.458801895 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.515054166 *** contribution from regularisation: 0.00835294276 *** contribution from error: -0.523407102 *********************************************** -----------------> Test sample ENTER BFGS code START -4416.41676 0.730872869 0.277344972 EXIT FROM BFGS code FG_START 0. 0.730872869 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.528946877 *** contribution from regularisation: 0.00672781328 *** contribution from error: -0.535674691 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4534.66182 0.730872869 5.10293913 EXIT FROM BFGS code FG_LNSRCH 0. 0.754403114 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.532396317 *** contribution from regularisation: 0.0116004413 *** contribution from error: -0.543996751 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4564.2337 0.754403114 1.55222893 EXIT FROM BFGS code NEW_X -4564.2337 0.754403114 1.55222893 ENTER BFGS code NEW_X -4564.2337 0.754403114 1.55222893 EXIT FROM BFGS code FG_LNSRCH 0. 0.753692389 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.538632214 *** contribution from regularisation: 0.0109964162 *** contribution from error: -0.549628615 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4617.69397 0.753692389 -1.91498101 EXIT FROM BFGS code NEW_X -4617.69397 0.753692389 -1.91498101 ENTER BFGS code NEW_X -4617.69397 0.753692389 -1.91498101 EXIT FROM BFGS code FG_LNSRCH 0. 0.747237861 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.539156735 *** contribution from regularisation: 0.0109573333 *** contribution from error: -0.550114095 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4622.19082 0.747237861 -2.0906167 EXIT FROM BFGS code NEW_X -4622.19082 0.747237861 -2.0906167 ENTER BFGS code NEW_X -4622.19082 0.747237861 -2.0906167 EXIT FROM BFGS code FG_LNSRCH 0. 0.735999584 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.541212797 *** contribution from regularisation: 0.00942149386 *** contribution from error: -0.550634265 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4639.81731 0.735999584 -4.46316004 EXIT FROM BFGS code NEW_X -4639.81731 0.735999584 -4.46316004 ENTER BFGS code NEW_X -4639.81731 0.735999584 -4.46316004 EXIT FROM BFGS code FG_LNSRCH 0. 0.695195079 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.538564444 *** contribution from regularisation: 0.0113960169 *** contribution from error: -0.549960434 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4617.11297 0.695195079 -4.22894287 EXIT FROM BFGS code FG_LNSRCH 0. 0.732354403 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.538487196 *** contribution from regularisation: 0.012192348 *** contribution from error: -0.550679564 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4616.45072 0.732354403 -3.61335969 EXIT FROM BFGS code FG_LNSRCH 0. 0.735963404 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 10.5274782 sigma out 15 active outputs RANK 2 NODE 1 --> 9.85538101 sigma out 15 active outputs RANK 3 NODE 2 --> 5.98597193 sigma out 15 active outputs RANK 4 NODE 3 --> 4.85544443 sigma out 15 active outputs RANK 5 NODE 6 --> 4.36132383 sigma out 15 active outputs RANK 6 NODE 4 --> 4.23075819 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 7.55988264 sigma in 6act. ( 7.21517944 sig out 1act.) RANK 2 NODE 6 --> 6.7863903 sigma in 6act. ( 4.33676291 sig out 1act.) RANK 3 NODE 9 --> 6.51850271 sigma in 6act. ( 4.05732632 sig out 1act.) RANK 4 NODE 12 --> 5.13047647 sigma in 6act. ( 3.39117479 sig out 1act.) RANK 5 NODE 7 --> 5.09069967 sigma in 6act. ( 3.22248936 sig out 1act.) RANK 6 NODE 2 --> 4.39315224 sigma in 6act. ( 2.51389599 sig out 1act.) RANK 7 NODE 8 --> 4.24742794 sigma in 6act. ( 3.94332957 sig out 1act.) RANK 8 NODE 11 --> 3.6505897 sigma in 6act. ( 2.39148784 sig out 1act.) RANK 9 NODE 14 --> 3.19851065 sigma in 6act. ( 1.38598287 sig out 1act.) RANK 10 NODE 3 --> 3.10909009 sigma in 6act. ( 2.19531155 sig out 1act.) RANK 11 NODE 15 --> 2.94927549 sigma in 6act. ( 1.74752676 sig out 1act.) RANK 12 NODE 5 --> 2.91294646 sigma in 6act. ( 1.82083571 sig out 1act.) RANK 13 NODE 1 --> 2.77416825 sigma in 6act. ( 1.6784066 sig out 1act.) RANK 14 NODE 4 --> 2.51267147 sigma in 6act. ( 1.63362229 sig out 1act.) RANK 15 NODE 10 --> 2.14289927 sigma in 6act. ( 1.41549289 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 7.21517944 sigma out 1act.( 7.55988264 sig in 6act.) RANK 2 NODE 6 --> 4.33676291 sigma out 1act.( 6.7863903 sig in 6act.) RANK 3 NODE 9 --> 4.05732632 sigma out 1act.( 6.51850271 sig in 6act.) RANK 4 NODE 8 --> 3.94332957 sigma out 1act.( 4.24742794 sig in 6act.) RANK 5 NODE 12 --> 3.39117479 sigma out 1act.( 5.13047647 sig in 6act.) RANK 6 NODE 7 --> 3.22248936 sigma out 1act.( 5.09069967 sig in 6act.) RANK 7 NODE 2 --> 2.51389599 sigma out 1act.( 4.39315224 sig in 6act.) RANK 8 NODE 11 --> 2.39148784 sigma out 1act.( 3.6505897 sig in 6act.) RANK 9 NODE 3 --> 2.19531155 sigma out 1act.( 3.10909009 sig in 6act.) RANK 10 NODE 5 --> 1.82083571 sigma out 1act.( 2.91294646 sig in 6act.) RANK 11 NODE 15 --> 1.74752676 sigma out 1act.( 2.94927549 sig in 6act.) RANK 12 NODE 1 --> 1.6784066 sigma out 1act.( 2.77416825 sig in 6act.) RANK 13 NODE 4 --> 1.63362229 sigma out 1act.( 2.51267147 sig in 6act.) RANK 14 NODE 10 --> 1.41549289 sigma out 1act.( 2.14289927 sig in 6act.) RANK 15 NODE 14 --> 1.38598287 sigma out 1act.( 3.19851065 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.5459347 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.540120482 *** contribution from regularisation: 0.0105135962 *** contribution from error: -0.550634086 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4630.4531 0.735963404 -4.17758942 EXIT FROM BFGS code FG_LNSRCH 0. 0.735999584 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.539440334 *** contribution from regularisation: 0.0111939413 *** contribution from error: -0.550634265 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4624.62212 0.735999584 -3.75994492 EXIT FROM BFGS code FG_LNSRCH 0. 0.735999584 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.539274454 *** contribution from regularisation: 0.011359809 *** contribution from error: -0.550634265 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4623.20014 0.735999584 -3.82173491 EXIT FROM BFGS code FG_LNSRCH 0. 0.735999584 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.539608538 *** contribution from regularisation: 0.0110257352 *** contribution from error: -0.550634265 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4626.06415 0.735999584 -3.95075059 EXIT FROM BFGS code FG_LNSRCH 0. 0.735999584 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.539533377 *** contribution from regularisation: 0.0111009236 *** contribution from error: -0.550634325 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4625.41956 0.735999584 -3.80333591 EXIT FROM BFGS code NEW_X -4625.41956 0.735999584 -3.80333591 ENTER BFGS code NEW_X -4625.41956 0.735999584 -3.80333591 EXIT FROM BFGS code CONVERGENC -4625.41956 0.735999584 -3.80333591 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 15.4038677 sigma out 15 active outputs RANK 2 NODE 5 --> 14.9186707 sigma out 15 active outputs RANK 3 NODE 2 --> 9.48604202 sigma out 15 active outputs RANK 4 NODE 4 --> 7.64591742 sigma out 15 active outputs RANK 5 NODE 6 --> 6.79522324 sigma out 15 active outputs RANK 6 NODE 3 --> 6.28001165 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 13.1838856 sigma in 6act. ( 11.3710356 sig out 1act.) RANK 2 NODE 6 --> 9.95174313 sigma in 6act. ( 8.13933563 sig out 1act.) RANK 3 NODE 9 --> 9.6611557 sigma in 6act. ( 7.60591745 sig out 1act.) RANK 4 NODE 12 --> 7.48009205 sigma in 6act. ( 6.35185337 sig out 1act.) RANK 5 NODE 8 --> 7.37517881 sigma in 6act. ( 6.060184 sig out 1act.) RANK 6 NODE 7 --> 7.33903551 sigma in 6act. ( 5.80395794 sig out 1act.) RANK 7 NODE 2 --> 6.56421423 sigma in 6act. ( 4.47332287 sig out 1act.) RANK 8 NODE 11 --> 5.01621103 sigma in 6act. ( 4.15977049 sig out 1act.) RANK 9 NODE 3 --> 4.5140295 sigma in 6act. ( 3.23006749 sig out 1act.) RANK 10 NODE 5 --> 3.76001763 sigma in 6act. ( 2.96103525 sig out 1act.) RANK 11 NODE 1 --> 3.73000622 sigma in 6act. ( 2.83438253 sig out 1act.) RANK 12 NODE 15 --> 3.68806982 sigma in 6act. ( 2.56731629 sig out 1act.) RANK 13 NODE 14 --> 3.66409326 sigma in 6act. ( 2.26077056 sig out 1act.) RANK 14 NODE 4 --> 3.44958782 sigma in 6act. ( 2.45882964 sig out 1act.) RANK 15 NODE 10 --> 2.81114721 sigma in 6act. ( 2.24495673 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 11.3710356 sigma out 1act.( 13.1838856 sig in 6act.) RANK 2 NODE 6 --> 8.13933563 sigma out 1act.( 9.95174313 sig in 6act.) RANK 3 NODE 9 --> 7.60591745 sigma out 1act.( 9.6611557 sig in 6act.) RANK 4 NODE 12 --> 6.35185337 sigma out 1act.( 7.48009205 sig in 6act.) RANK 5 NODE 8 --> 6.060184 sigma out 1act.( 7.37517881 sig in 6act.) RANK 6 NODE 7 --> 5.80395794 sigma out 1act.( 7.33903551 sig in 6act.) RANK 7 NODE 2 --> 4.47332287 sigma out 1act.( 6.56421423 sig in 6act.) RANK 8 NODE 11 --> 4.15977049 sigma out 1act.( 5.01621103 sig in 6act.) RANK 9 NODE 3 --> 3.23006749 sigma out 1act.( 4.5140295 sig in 6act.) RANK 10 NODE 5 --> 2.96103525 sigma out 1act.( 3.76001763 sig in 6act.) RANK 11 NODE 1 --> 2.83438253 sigma out 1act.( 3.73000622 sig in 6act.) RANK 12 NODE 15 --> 2.56731629 sigma out 1act.( 3.68806982 sig in 6act.) RANK 13 NODE 4 --> 2.45882964 sigma out 1act.( 3.44958782 sig in 6act.) RANK 14 NODE 14 --> 2.26077056 sigma out 1act.( 3.66409326 sig in 6act.) RANK 15 NODE 10 --> 2.24495673 sigma out 1act.( 2.81114721 sig in 6act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 21.2483864 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.539756656 *** contribution from regularisation: 0.0108776605 *** contribution from error: -0.550634325 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23570 Closing output file done