NNInput NNInputs_145.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 41179 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 = 10735 nbkg = 30444 Bkg Entries: 30444 Sig Entries: 10735 Chosen entries: 10735 Signal fraction: 1 Background fraction: 0.352615 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 30444 Actual Signal Entries: 10735 Entries to split: 10735 Test with : 5367 Train with : 5367 ********************************************* * 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= 10735 for Signal Prepared event 0 for Signal with 10735 events ====Entry 0 Variable Ht : 152.875 Variable LepAPt : 38.3798 Variable LepBPt : 21.2784 Variable MetSigLeptonsJets : 7.78824 Variable MetSpec : 70.6304 Variable SumEtLeptonsJets : 82.2442 Variable VSumJetLeptonsPt : 59.7796 Variable addEt : 130.289 Variable dPhiLepSumMet : 2.12793 Variable dPhiLeptons : 0.177893 Variable dRLeptons : 0.462105 Variable lep1_E : 40.1927 Variable lep2_E : 21.4331 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2145 Ht = 152.875 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 38.38 LepAPt = 38.3798 LepBEt = 21.2788 LepBPt = 21.2784 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 70.6304 MetDelPhi = 2.06454 MetSig = 4.53907 MetSigLeptonsJets = 7.78824 MetSpec = 70.6304 Mjj = 0 MostCentralJetEta = -1.82821 MtllMet = 131.924 Njets = 1 SB = 0 SumEt = 242.13 SumEtJets = 0 SumEtLeptonsJets = 82.2442 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 59.7796 addEt = 130.289 dPhiLepSumMet = 2.12793 dPhiLeptons = 0.177893 dRLeptons = 0.462105 diltype = 18 dimass = 13.2919 event = 1489 jet1_Et = 22.586 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 40.1927 lep2_E = 21.4331 rand = 0.999742 run = 236503 weight = 2.32016e-06 ===Show End Prepared event 10000 for Signal with 10735 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= 30444 for Background Prepared event 0 for Background with 30444 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 1.29531 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 30444 events Prepared event 20000 for Background with 30444 events Prepared event 30000 for Background with 30444 events Warning: found 994 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 41179 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 994 negative weights. Signal fraction: 62.5759888 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.9230614 62.4130936 64.3814545 66.5462952 68.2103577 70.0341263 71.1921768 72.8656082 74.3275757 76.0014038 77.5226288 79.0339584 80.3318024 81.5392838 83.0290985 84.5318298 85.7247849 86.8180237 88.2970276 89.8443298 91.1999054 92.3762817 93.6372452 94.6252136 95.717598 97.0546799 98.2500153 99.2972488 100.545349 101.468529 102.588005 103.85022 105.01165 106.162415 107.203835 108.208786 109.134026 110.026688 111.136002 112.177223 113.326752 114.321259 115.470703 116.527634 117.553642 118.657127 119.823204 120.857468 121.749588 122.78241 123.736809 124.633087 125.610863 126.741203 127.862289 129.032104 129.901352 131.029755 131.942993 132.825989 133.710236 134.756683 135.74231 136.823608 137.821136 138.809113 139.807465 140.85791 142.092911 143.510132 144.961014 146.492355 147.943069 149.38063 150.938873 152.901855 154.668427 156.717072 159.103271 161.080414 163.390686 165.805542 168.249771 170.995026 173.268143 176.257172 178.984894 181.688416 185.305466 189.265549 193.460083 197.665695 203.323151 209.467316 216.416061 224.899643 234.802551 251.453064 267.585815 307.591797 707.509155 ------------------------------ Transdef: Tab for variable 3 20.0021973 20.4888496 20.8609734 21.2308521 21.5738029 21.9213524 22.3164749 22.607233 22.961586 23.2658653 23.5797691 23.9493332 24.2808819 24.5260315 24.8598824 25.0865784 25.3392105 25.5793972 25.8068619 26.0205097 26.259716 26.5411301 26.7411327 26.9958992 27.2707329 27.5425835 27.824852 28.0696602 28.273037 28.5069447 28.7081985 28.9151974 29.1339016 29.3833771 29.5738831 29.8308353 30.0618382 30.294735 30.5243092 30.7618923 30.9934731 31.2150879 31.4387627 31.6877804 31.9048042 32.1364365 32.3480835 32.583683 32.8295822 33.1069298 33.3112946 33.5374031 33.8019638 34.0695953 34.3187447 34.5337982 34.8227921 35.0730896 35.3335571 35.5974312 35.8979797 36.1729813 36.409729 36.6840096 36.9793015 37.2787094 37.5447273 37.8375549 38.1470909 38.4728165 38.8085632 39.128891 39.4331207 39.8175583 40.1870346 40.6501503 41.1456909 41.5615311 41.9645958 42.4488754 42.9018784 43.3451653 43.7851715 44.2534027 44.8237915 45.4861794 45.9822197 46.6348534 47.3575287 48.0682068 49.1530685 50.2693939 51.457283 52.806015 54.5311584 56.2863617 58.3371925 61.3061752 65.4437408 73.7126236 162.429443 ------------------------------ Transdef: Tab for variable 4 10.0011187 10.2064047 10.3739529 10.5384703 10.7317829 10.9507256 11.1620808 11.3371124 11.5804043 11.769949 11.9711475 12.180254 12.4218884 12.629837 12.8451443 13.0756416 13.3370905 13.5493755 13.7774868 13.9817972 14.2150469 14.4317665 14.6568317 14.8822727 15.0845394 15.3209648 15.5704594 15.801589 16.0257721 16.2506485 16.5287018 16.7917976 17.0084991 17.2505894 17.4667702 17.7241268 17.9266891 18.1754913 18.4130363 18.6164246 18.8437843 19.0958748 19.3010101 19.5409241 19.7641525 19.9638596 20.1701126 20.3175163 20.4878616 20.702549 20.8990459 21.069706 21.2977734 21.506443 21.6718578 21.8598289 22.0546188 22.2746201 22.5018349 22.6651421 22.8584099 23.078064 23.3281937 23.499794 23.7231445 23.9122734 24.1213264 24.387249 24.6011276 24.8162861 25.0691071 25.2880249 25.4889908 25.690712 25.8855286 26.1527195 26.3998413 26.6571655 26.9280396 27.258976 27.5999794 27.8990421 28.24786 28.6047707 28.9017067 29.2350464 29.6153145 29.9589615 30.3227501 30.8347397 31.317934 31.8663597 32.3668861 33.003334 33.6115341 34.6042557 35.5637932 37.158329 39.6061172 43.6487007 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.70341003 2.62357903 2.84218812 3.08452392 3.28438139 3.44627285 3.56824827 3.71119213 3.82910824 3.92445135 4.01799774 4.11263084 4.20141172 4.27305651 4.35475254 4.42691135 4.50787735 4.56914377 4.64406586 4.71485329 4.7925539 4.84990788 4.9296751 5.00442696 5.08110332 5.15440845 5.22019482 5.30698681 5.36663437 5.42895031 5.51278496 5.57686615 5.64485931 5.71479225 5.78702068 5.86649895 5.9288969 5.98946142 6.05070686 6.10134506 6.15135288 6.21041775 6.27234316 6.32171726 6.38357019 6.44278717 6.49797535 6.55759907 6.60738754 6.66060352 6.69742489 6.75213528 6.80404663 6.85312986 6.89571524 6.94287252 6.98758984 7.0345149 7.09001827 7.13239479 7.18011808 7.22541904 7.27878857 7.31957769 7.35684395 7.39749813 7.4362793 7.48196411 7.51887608 7.56507301 7.61710262 7.66463852 7.71204472 7.75661325 7.80852652 7.85588074 7.91125107 7.95753527 8.00243759 8.05248451 8.09888077 8.13864136 8.20206261 8.25437641 8.31525707 8.37541866 8.44408321 8.51204109 8.57844543 8.65152168 8.72313881 8.80959892 8.92840099 9.05844021 9.1909008 9.35774517 9.53880978 9.76886559 10.180809 10.898262 15.1307487 ------------------------------ Transdef: Tab for variable 6 25.0020657 25.3199539 25.6884575 26.0520515 26.5109119 26.9760933 27.4075775 27.9139595 28.4227142 28.8503113 29.3874207 29.9963779 30.647028 31.2880249 31.9696083 32.6249428 33.24226 33.9370651 34.6772156 35.4270172 36.0625381 36.8163757 37.5057678 38.071701 38.6558609 39.3507996 39.912796 40.5733185 41.1676636 41.6889191 42.2251663 42.7731934 43.4974823 44.0190506 44.608429 45.085762 45.564949 46.0914688 46.6318779 47.1710663 47.5993156 48.0754585 48.6107941 49.1418915 49.7583084 50.2288895 50.7386932 51.1928291 51.6653671 52.2181053 52.7907295 53.3650513 53.8496323 54.293602 54.8022995 55.3322067 55.8404922 56.3187141 56.895462 57.3659058 57.8206787 58.3539429 58.8454361 59.3361626 59.8082314 60.3214493 60.8239136 61.3367996 61.8228378 62.4289322 62.9511032 63.5338287 64.0526276 64.599205 65.0874786 65.6632996 66.1846313 66.778717 67.4529953 68.0182419 68.6366577 69.3182602 69.8712997 70.5628891 71.3441162 72.1393585 73.2381592 74.2739182 75.4261169 76.6520844 77.8306122 79.2564545 81.2059021 83.1970215 85.5400696 88.0956726 91.697403 95.7555618 100.790573 110.988884 241.141922 ------------------------------ Transdef: Tab for variable 7 30.1229668 33.5311661 35.069191 35.9515572 36.7726822 37.5051689 38.3494873 39.1951294 39.8903198 40.5803261 41.2768784 41.8601799 42.3976021 43.0002975 43.6636276 44.4597092 45.1216965 45.7445679 46.4449615 47.0823288 47.8569221 48.5146332 49.2108994 49.7947464 50.3612862 50.9669113 51.5084305 52.120388 52.6530876 53.3600311 53.9383965 54.6588669 55.2933426 55.8371353 56.3911896 56.9313431 57.443222 58.0426559 58.530838 59.1211014 59.6341095 60.3331528 60.9164581 61.4607887 62.0806274 62.5769081 63.1397552 63.7555008 64.4044342 65.1015015 65.6305313 66.1235733 66.8080292 67.3747177 68.0299072 68.5987396 69.3517227 70.050766 70.822052 71.5439072 72.3529968 73.0536118 73.8731842 74.805954 75.7847137 76.8113251 77.9361725 79.0919342 80.3011322 81.3390732 82.6738663 84.0306473 85.3977814 87.0246277 88.4550095 90.0206909 91.5068207 93.2496948 95.0753479 96.6130676 98.1977539 100.265808 102.613327 104.945587 107.096596 109.550278 112.5177 115.244766 118.88327 121.700241 124.880478 129.766571 133.641785 138.606186 145.758301 153.167847 160.731277 170.793793 189.695343 223.676254 436.754303 ------------------------------ Transdef: Tab for variable 8 4.8277607 24.7004852 28.4342175 30.6424026 32.1650085 33.1743927 34.0851669 34.7308807 35.2877808 35.9306068 36.4832382 37.0260315 37.5934639 38.2040176 38.7487488 39.2767868 39.7137833 40.22015 40.7456703 41.107338 41.6643867 42.1035423 42.4891281 43.0124054 43.4783936 43.96035 44.3919716 44.850296 45.4189224 45.8450699 46.2851257 46.7866592 47.2304688 47.7098389 48.1471329 48.5765114 49.0426559 49.4626503 49.8805237 50.3372879 50.7292175 51.1773224 51.6128845 52.0086288 52.406105 52.8388443 53.3029327 53.7683563 54.3064651 54.7632103 55.2443123 55.6991501 56.083931 56.4803696 56.8614426 57.296936 57.7211723 58.1039619 58.5470085 59.0433884 59.445015 59.9233017 60.3376999 60.8171234 61.2913857 61.6764221 62.1120071 62.4932251 63.0342865 63.52742 64.026947 64.4619141 64.9934082 65.5254517 65.9734039 66.5765381 67.0794296 67.6709137 68.2169189 68.7229767 69.3298416 70.0799408 70.7871704 71.4719467 72.2461472 73.0537415 74.0424805 75.0329437 76.1498642 77.5365448 78.9661713 80.3797379 82.3432465 84.4585953 87.1783218 90.4289474 93.4233704 98.7638702 104.478531 114.865562 289.322327 ------------------------------ Transdef: Tab for variable 9 55.9230614 61.4090195 63.8291092 65.1177368 66.7237091 68.1078339 69.4319916 70.5515671 71.6071167 72.8752441 73.9629669 75.2414093 76.6070099 77.746582 78.8531494 79.860321 80.9528656 82.0603027 83.0741425 84.1311035 85.1691132 85.9114685 86.9191895 87.9478302 89.039032 90.1606445 91.1520233 92.0481873 93.1258621 94.0186615 94.8492508 95.7131882 96.5927734 97.4720001 98.338295 99.2553558 100.339821 101.210991 102.110153 103.089661 103.961563 104.83725 105.699402 106.548798 107.28521 108.007156 108.823471 109.623138 110.352341 111.186821 111.977036 112.930984 113.826225 114.577614 115.371582 116.213623 116.976585 117.887917 118.688522 119.540924 120.409065 121.157944 121.865067 122.69252 123.462646 124.07695 124.84552 125.792892 126.564209 127.272415 127.950485 128.773163 129.59581 130.206665 131.051422 131.881317 132.686798 133.472321 134.224518 135.010345 135.886932 136.805359 137.652267 138.474213 139.283875 140.129974 141.142029 142.059204 143.257111 144.349548 145.716339 147.265015 149.027954 151.258636 153.855408 157.43045 161.393677 166.340485 174.405533 191.626587 382.729065 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.04688764 1.32053447 1.45842123 1.5998193 1.71244431 1.79827201 1.89699149 1.96599615 2.04009295 2.09795785 2.15246105 2.21276283 2.25499868 2.30149603 2.34249401 2.37999177 2.41369867 2.44472194 2.47660732 2.50241208 2.53004742 2.55683279 2.57864451 2.60247421 2.62302375 2.64228249 2.66062403 2.68353796 2.70132303 2.71530628 2.73028278 2.74670744 2.76486444 2.7777493 2.79100204 2.80274105 2.81702876 2.82920408 2.8392663 2.85228729 2.86110783 2.87268591 2.88428545 2.89365458 2.9021039 2.91179228 2.9203229 2.92902327 2.9365263 2.94320512 2.95049405 2.95818758 2.96553445 2.97130966 2.97743821 2.98351026 2.9909668 2.99747896 3.00391769 3.00868559 3.0130024 3.01780939 3.02344799 3.02847099 3.03278804 3.03669357 3.04127789 3.04567456 3.04916525 3.05273128 3.05702591 3.06062412 3.06443739 3.06772566 3.07050657 3.07427645 3.07743692 3.08119535 3.08423042 3.0870893 3.08997869 3.09299421 3.09601021 3.09886622 3.10174012 3.10432434 3.10704994 3.11001015 3.11257315 3.11488152 3.11747146 3.12030697 3.12303901 3.12522221 3.12771702 3.13039684 3.13336468 3.1362114 3.13892126 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.18017197E-05 0.00750824809 0.0170724988 0.0253899246 0.0339020491 0.0414017439 0.050612092 0.0585551858 0.0649853945 0.0727570876 0.0793435574 0.0851676464 0.0922031403 0.098526001 0.104557395 0.111063957 0.117816627 0.123943806 0.129631519 0.136146247 0.142714977 0.147063017 0.152579486 0.158584177 0.164699078 0.170169532 0.174948454 0.180782497 0.18631804 0.192002177 0.196724698 0.201294541 0.205064759 0.209331632 0.213860273 0.21787858 0.221800208 0.226455212 0.230696648 0.23491922 0.238583028 0.243475914 0.248285472 0.252073646 0.256469131 0.261424422 0.266008079 0.27030158 0.27535975 0.279736519 0.284463882 0.289547026 0.294397354 0.299023867 0.303567946 0.308785915 0.313185275 0.318260431 0.32297042 0.327920616 0.332810283 0.338349104 0.343874574 0.349130392 0.353529692 0.358453989 0.363617539 0.369345605 0.37439537 0.379706711 0.386684269 0.392503977 0.397821426 0.404496789 0.40979135 0.416365385 0.422702432 0.429233313 0.436982125 0.444392323 0.452265441 0.458504319 0.467189133 0.475127816 0.483048409 0.492283881 0.500189424 0.509800255 0.519013107 0.529382586 0.540675044 0.55333817 0.573216438 0.588429391 0.605258703 0.630697608 0.653295755 0.679541945 0.724274874 0.796777487 1.09418297 ------------------------------ Transdef: Tab for variable 12 0.200028494 0.206410587 0.213969648 0.219980985 0.22612834 0.231723875 0.237658188 0.243325263 0.24875918 0.254412025 0.260248989 0.26608929 0.271529734 0.276390076 0.280918419 0.286426395 0.290597439 0.294739306 0.298821867 0.30386579 0.30770722 0.312081337 0.317313671 0.321918517 0.326303452 0.33096683 0.33471638 0.34007445 0.344506323 0.348336935 0.352534354 0.357185781 0.361721516 0.366390139 0.370572925 0.374346077 0.378975451 0.383576602 0.387942672 0.392880857 0.396879971 0.400476098 0.404188246 0.407956928 0.411596775 0.415550858 0.418793201 0.422264159 0.426008523 0.430142075 0.434264213 0.437979639 0.441163212 0.44583112 0.450729668 0.454768091 0.458716393 0.462743402 0.466374934 0.470973194 0.475265086 0.479045272 0.483315766 0.488229752 0.492156535 0.49620378 0.501656592 0.507005215 0.511421263 0.516160607 0.521311164 0.526520133 0.531205118 0.535978675 0.541053236 0.545920372 0.551199198 0.55672735 0.562838674 0.569903255 0.576365829 0.584406495 0.591983318 0.600488424 0.607513726 0.614928544 0.624860466 0.632878661 0.644242167 0.652357221 0.661923647 0.676272988 0.686418533 0.701947212 0.72056973 0.741497695 0.765499592 0.791585267 0.83637023 0.885285258 1.11298525 ------------------------------ Transdef: Tab for variable 13 20.076376 21.324852 21.9921532 22.5981178 23.166481 23.7444153 24.2786331 24.7696934 25.1388092 25.491848 25.9101448 26.2133274 26.6133156 26.9942131 27.374485 27.7224751 28.0576591 28.382618 28.7030029 28.987896 29.3052826 29.5921097 29.8984623 30.209034 30.4230881 30.7100525 30.9820766 31.254385 31.4666634 31.675209 31.9225159 32.2077713 32.4826126 32.8033829 33.0726776 33.3061714 33.5543213 33.8155212 34.0851517 34.3743286 34.6708755 34.9684372 35.2857971 35.5906792 35.8377838 36.1061821 36.3532562 36.6684113 36.9475975 37.2427597 37.5251007 37.8648529 38.1601372 38.410347 38.6813698 38.9709702 39.3119087 39.611763 39.9403725 40.3071556 40.6337128 40.9648209 41.318821 41.7036171 42.1199303 42.4829483 42.8917999 43.2503738 43.6504097 43.9859314 44.3040314 44.7067413 45.1133118 45.607193 45.9795914 46.4152718 46.9458237 47.412262 47.9490395 48.4169006 49.0307922 49.5984726 50.2086868 50.7954483 51.6329956 52.4081497 53.129612 54.1705399 54.9695015 56.0031509 57.2701721 58.4724655 59.937912 61.5184174 63.5059357 65.5879517 68.2284317 71.614296 77.4110565 86.8681412 199.637161 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.7270365 11.2043056 11.5343084 11.8506165 12.140749 12.3281574 12.6695824 12.9463501 13.2650852 13.5933323 13.9662247 14.2290144 14.4979725 14.7509632 15.0516634 15.2892113 15.5547619 15.8397675 16.0454044 16.3290672 16.6186142 16.8984852 17.1976128 17.4865475 17.7237663 17.9797821 18.2033958 18.4392281 18.7001476 19.0254631 19.2971954 19.5673447 19.845192 20.0821342 20.3154411 20.5544357 20.8311729 21.0764217 21.3776474 21.634716 21.8503551 22.1151867 22.3009872 22.5284805 22.7614708 22.9869347 23.2066689 23.4316788 23.6744804 23.8839226 24.0766373 24.2924652 24.5171661 24.7816887 25.0236931 25.2859917 25.4813061 25.7072353 25.9560337 26.1982422 26.4195061 26.6668911 26.9090881 27.1761971 27.4456139 27.6726341 27.9157429 28.1781788 28.4822636 28.8129196 29.1120701 29.3822308 29.6324215 29.8966923 30.1591854 30.4332085 30.795826 31.1653099 31.5114517 31.9353333 32.3186607 32.7620468 33.1632767 33.5821304 34.1947937 34.6921921 35.2937775 35.7990952 36.4225464 36.944828 37.6886826 38.4741364 39.4272766 40.4014359 41.5455475 42.8945503 44.711853 47.8340836 52.2981186 87.1024323 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 44.2 22.1 30.9 18.8 34.9 39.3 30.1 40.1 -18.9 -12.2 -18.1 18.8 27.3 2 44.2 100.0 59.5 51.5 26.5 65.9 94.2 65.7 87.7 -43.3 -23.8 -40.0 54.1 45.8 3 22.1 59.5 100.0 35.8 1.4 27.8 61.7 44.8 67.7 -8.1 -25.7 -46.9 91.2 30.3 4 30.9 51.5 35.8 100.0 8.7 29.7 50.8 40.1 59.6 -3.2 -27.6 -51.5 33.0 90.4 5 18.8 26.5 1.4 8.7 100.0 84.0 -3.5 55.0 54.6 33.3 -5.1 -3.9 1.2 8.3 6 34.9 65.9 27.8 29.7 84.0 100.0 41.7 76.3 80.7 3.0 -13.8 -20.8 25.3 26.6 7 39.3 94.2 61.7 50.8 -3.5 41.7 100.0 54.0 73.1 -53.8 -23.0 -40.8 56.3 45.1 8 30.1 65.7 44.8 40.1 55.0 76.3 54.0 100.0 78.7 2.4 -20.4 -33.0 40.9 36.1 9 40.1 87.7 67.7 59.6 54.6 80.7 73.1 78.7 100.0 -10.5 -26.6 -46.2 61.9 53.1 10 -18.9 -43.3 -8.1 -3.2 33.3 3.0 -53.8 2.4 -10.5 100.0 1.8 3.0 -7.0 -2.9 11 -12.2 -23.8 -25.7 -27.6 -5.1 -13.8 -23.0 -20.4 -26.6 1.8 100.0 53.8 -23.6 -27.1 12 -18.1 -40.0 -46.9 -51.5 -3.9 -20.8 -40.8 -33.0 -46.2 3.0 53.8 100.0 -43.6 -44.3 13 18.8 54.1 91.2 33.0 1.2 25.3 56.3 40.9 61.9 -7.0 -23.6 -43.6 100.0 36.8 14 27.3 45.8 30.3 90.4 8.3 26.6 45.1 36.1 53.1 -2.9 -27.1 -44.3 36.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 104.677259 TOTAL CORRELATION OF ALL VARIABLES 48.1755147 ROUND 1: MAX CORR ( 48.1750369) AFTER KILLING INPUT VARIABLE 14 CONTR 0.214572427 ROUND 2: MAX CORR ( 48.174147) AFTER KILLING INPUT VARIABLE 8 CONTR 0.292807373 ROUND 3: MAX CORR ( 48.1594434) AFTER KILLING INPUT VARIABLE 11 CONTR 1.19014855 ROUND 4: MAX CORR ( 48.1451223) AFTER KILLING INPUT VARIABLE 12 CONTR 1.17438562 ROUND 5: MAX CORR ( 48.0637042) AFTER KILLING INPUT VARIABLE 7 CONTR 2.7987752 ROUND 6: MAX CORR ( 47.9753492) AFTER KILLING INPUT VARIABLE 13 CONTR 2.91299414 ROUND 7: MAX CORR ( 47.7600714) AFTER KILLING INPUT VARIABLE 6 CONTR 4.53979147 ROUND 8: MAX CORR ( 47.353128) AFTER KILLING INPUT VARIABLE 10 CONTR 6.22138999 ROUND 9: MAX CORR ( 46.9311471) AFTER KILLING INPUT VARIABLE 3 CONTR 6.3076273 ROUND 10: MAX CORR ( 45.8798889) AFTER KILLING INPUT VARIABLE 9 CONTR 9.87766985 ROUND 11: MAX CORR ( 45.1785879) AFTER KILLING INPUT VARIABLE 5 CONTR 7.99120746 ROUND 12: MAX CORR ( 44.1658185) AFTER KILLING INPUT VARIABLE 4 CONTR 9.51237553 LAST REMAINING VARIABLE: 2 total correlation to target: 48.1755147 % total significance: 44.7527144 sigma correlations of single variables to target: variable 2: 44.1658185 % , in sigma: 41.0279012 variable 3: 22.1244834 % , in sigma: 20.5525709 variable 4: 30.8969114 % , in sigma: 28.7017307 variable 5: 18.836937 % , in sigma: 17.4986 variable 6: 34.9303933 % , in sigma: 32.4486396 variable 7: 39.2945572 % , in sigma: 36.502736 variable 8: 30.0615643 % , in sigma: 27.9257338 variable 9: 40.0601631 % , in sigma: 37.2139467 variable 10: -18.9274403 % , in sigma: 17.5826731 variable 11: -12.2461398 % , in sigma: 11.3760693 variable 12: -18.1441095 % , in sigma: 16.8549968 variable 13: 18.8400261 % , in sigma: 17.5014696 variable 14: 27.25228 % , in sigma: 25.316045 variables sorted by significance: 1 most relevant variable 2 corr 44.1658173 , in sigma: 41.0279001 2 most relevant variable 4 corr 9.51237583 , in sigma: 8.83653534 3 most relevant variable 5 corr 7.9912076 , in sigma: 7.4234439 4 most relevant variable 9 corr 9.87767029 , in sigma: 9.17587616 5 most relevant variable 3 corr 6.3076272 , in sigma: 5.85947945 6 most relevant variable 10 corr 6.22138977 , in sigma: 5.77936906 7 most relevant variable 6 corr 4.53979158 , in sigma: 4.21724598 8 most relevant variable 13 corr 2.91299415 , in sigma: 2.70603014 9 most relevant variable 7 corr 2.7987752 , in sigma: 2.59992628 10 most relevant variable 12 corr 1.17438567 , in sigma: 1.09094727 11 most relevant variable 11 corr 1.19014859 , in sigma: 1.10559026 12 most relevant variable 8 corr 0.29280737 , in sigma: 0.272003832 13 most relevant variable 14 corr 0.21457243 , in sigma: 0.19932737 global correlations between input variables: variable 2: 99.3262972 % variable 3: 95.8658985 % variable 4: 94.7712142 % variable 5: 96.2306634 % variable 6: 96.0885744 % variable 7: 98.9954823 % variable 8: 86.2783877 % variable 9: 98.7798033 % variable 10: 75.2095596 % variable 11: 55.1344074 % variable 12: 70.695042 % variable 13: 93.6154636 % variable 14: 93.1695746 % significance loss when removing single variables: variable 2: corr = 8.67642117 % , sigma = 8.05997405 variable 3: corr = 7.68657601 % , sigma = 7.14045595 variable 4: corr = 9.1960459 % , sigma = 8.54268019 variable 5: corr = 6.35218024 % , sigma = 5.90086706 variable 6: corr = 4.2419719 % , sigma = 3.94058596 variable 7: corr = 2.58702322 % , sigma = 2.40321898 variable 8: corr = 0.287590434 % , sigma = 0.267157551 variable 9: corr = 10.808532 % , sigma = 10.0406015 variable 10: corr = 6.12903487 % , sigma = 5.69357584 variable 11: corr = 1.14381104 % , sigma = 1.06254493 variable 12: corr = 1.55621142 % , sigma = 1.44564486 variable 13: corr = 2.53365835 % , sigma = 2.35364561 variable 14: corr = 0.214572427 % , sigma = 0.199327368 Keep only 7 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 8 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 12.8905506 sigma out 15 active outputs RANK 2 NODE 1 --> 9.24927521 sigma out 15 active outputs RANK 3 NODE 7 --> 8.35184002 sigma out 15 active outputs RANK 4 NODE 3 --> 8.12334919 sigma out 15 active outputs RANK 5 NODE 5 --> 7.60374928 sigma out 15 active outputs RANK 6 NODE 6 --> 5.70252371 sigma out 15 active outputs RANK 7 NODE 4 --> 5.56434488 sigma out 15 active outputs RANK 8 NODE 8 --> 3.86855626 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 12.3592472 sigma in 8act. ( 17.2339954 sig out 1act.) RANK 2 NODE 6 --> 8.44977188 sigma in 8act. ( 8.54973507 sig out 1act.) RANK 3 NODE 3 --> 7.98180342 sigma in 8act. ( 8.21713829 sig out 1act.) RANK 4 NODE 13 --> 7.70883179 sigma in 8act. ( 7.78350306 sig out 1act.) RANK 5 NODE 7 --> 7.18042135 sigma in 8act. ( 7.14401627 sig out 1act.) RANK 6 NODE 4 --> 5.89162827 sigma in 8act. ( 6.15484524 sig out 1act.) RANK 7 NODE 15 --> 4.78898096 sigma in 8act. ( 4.69170809 sig out 1act.) RANK 8 NODE 2 --> 3.99914241 sigma in 8act. ( 4.39340258 sig out 1act.) RANK 9 NODE 12 --> 3.42363214 sigma in 8act. ( 3.75102496 sig out 1act.) RANK 10 NODE 14 --> 2.91968894 sigma in 8act. ( 3.01821876 sig out 1act.) RANK 11 NODE 10 --> 2.79569435 sigma in 8act. ( 2.38643599 sig out 1act.) RANK 12 NODE 9 --> 2.6768043 sigma in 8act. ( 3.10777259 sig out 1act.) RANK 13 NODE 5 --> 2.44805217 sigma in 8act. ( 2.05765343 sig out 1act.) RANK 14 NODE 11 --> 2.36506701 sigma in 8act. ( 2.37580681 sig out 1act.) RANK 15 NODE 8 --> 2.10363007 sigma in 8act. ( 1.58956313 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 17.2339954 sigma out 1act.( 12.3592472 sig in 8act.) RANK 2 NODE 6 --> 8.54973507 sigma out 1act.( 8.44977188 sig in 8act.) RANK 3 NODE 3 --> 8.21713829 sigma out 1act.( 7.98180342 sig in 8act.) RANK 4 NODE 13 --> 7.78350306 sigma out 1act.( 7.70883179 sig in 8act.) RANK 5 NODE 7 --> 7.14401627 sigma out 1act.( 7.18042135 sig in 8act.) RANK 6 NODE 4 --> 6.15484524 sigma out 1act.( 5.89162827 sig in 8act.) RANK 7 NODE 15 --> 4.69170809 sigma out 1act.( 4.78898096 sig in 8act.) RANK 8 NODE 2 --> 4.39340258 sigma out 1act.( 3.99914241 sig in 8act.) RANK 9 NODE 12 --> 3.75102496 sigma out 1act.( 3.42363214 sig in 8act.) RANK 10 NODE 9 --> 3.10777259 sigma out 1act.( 2.6768043 sig in 8act.) RANK 11 NODE 14 --> 3.01821876 sigma out 1act.( 2.91968894 sig in 8act.) RANK 12 NODE 10 --> 2.38643599 sigma out 1act.( 2.79569435 sig in 8act.) RANK 13 NODE 11 --> 2.37580681 sigma out 1act.( 2.36506701 sig in 8act.) RANK 14 NODE 5 --> 2.05765343 sigma out 1act.( 2.44805217 sig in 8act.) RANK 15 NODE 8 --> 1.58956313 sigma out 1act.( 2.10363007 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.0650024 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 15.2998447 sigma out 15 active outputs RANK 2 NODE 5 --> 13.4488039 sigma out 15 active outputs RANK 3 NODE 1 --> 11.5618277 sigma out 15 active outputs RANK 4 NODE 7 --> 10.1472569 sigma out 15 active outputs RANK 5 NODE 3 --> 9.96658611 sigma out 15 active outputs RANK 6 NODE 6 --> 8.53703976 sigma out 15 active outputs RANK 7 NODE 4 --> 7.12539244 sigma out 15 active outputs RANK 8 NODE 8 --> 6.14573097 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 13.5893869 sigma in 8act. ( 17.2058926 sig out 1act.) RANK 2 NODE 3 --> 10.1097126 sigma in 8act. ( 8.54807091 sig out 1act.) RANK 3 NODE 6 --> 9.30831718 sigma in 8act. ( 8.91283035 sig out 1act.) RANK 4 NODE 13 --> 8.66791916 sigma in 8act. ( 8.04437542 sig out 1act.) RANK 5 NODE 12 --> 8.15259075 sigma in 8act. ( 4.6880312 sig out 1act.) RANK 6 NODE 15 --> 7.3685894 sigma in 8act. ( 4.79562521 sig out 1act.) RANK 7 NODE 7 --> 6.89616537 sigma in 8act. ( 5.85034513 sig out 1act.) RANK 8 NODE 2 --> 6.8673358 sigma in 8act. ( 5.01474571 sig out 1act.) RANK 9 NODE 9 --> 6.80581903 sigma in 8act. ( 4.28838873 sig out 1act.) RANK 10 NODE 14 --> 6.64425373 sigma in 8act. ( 3.61059618 sig out 1act.) RANK 11 NODE 4 --> 6.5593605 sigma in 8act. ( 6.03207111 sig out 1act.) RANK 12 NODE 8 --> 6.12011719 sigma in 8act. ( 2.3220377 sig out 1act.) RANK 13 NODE 10 --> 6.06064034 sigma in 8act. ( 2.44214821 sig out 1act.) RANK 14 NODE 11 --> 4.50833511 sigma in 8act. ( 2.35395694 sig out 1act.) RANK 15 NODE 5 --> 4.49633026 sigma in 8act. ( 1.58864129 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 17.2058926 sigma out 1act.( 13.5893869 sig in 8act.) RANK 2 NODE 6 --> 8.91283035 sigma out 1act.( 9.30831718 sig in 8act.) RANK 3 NODE 3 --> 8.54807091 sigma out 1act.( 10.1097126 sig in 8act.) RANK 4 NODE 13 --> 8.04437542 sigma out 1act.( 8.66791916 sig in 8act.) RANK 5 NODE 4 --> 6.03207111 sigma out 1act.( 6.5593605 sig in 8act.) RANK 6 NODE 7 --> 5.85034513 sigma out 1act.( 6.89616537 sig in 8act.) RANK 7 NODE 2 --> 5.01474571 sigma out 1act.( 6.8673358 sig in 8act.) RANK 8 NODE 15 --> 4.79562521 sigma out 1act.( 7.3685894 sig in 8act.) RANK 9 NODE 12 --> 4.6880312 sigma out 1act.( 8.15259075 sig in 8act.) RANK 10 NODE 9 --> 4.28838873 sigma out 1act.( 6.80581903 sig in 8act.) RANK 11 NODE 14 --> 3.61059618 sigma out 1act.( 6.64425373 sig in 8act.) RANK 12 NODE 10 --> 2.44214821 sigma out 1act.( 6.06064034 sig in 8act.) RANK 13 NODE 11 --> 2.35395694 sigma out 1act.( 4.50833511 sig in 8act.) RANK 14 NODE 8 --> 2.3220377 sigma out 1act.( 6.12011719 sig in 8act.) RANK 15 NODE 5 --> 1.58864129 sigma out 1act.( 4.49633026 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.5489388 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.406546891 *** contribution from regularisation: 0.0120013244 *** contribution from error: -0.418548226 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.440023154 *** contribution from regularisation: 0.00644287886 *** contribution from error: -0.446466029 *********************************************** -----------------> Test sample ENTER BFGS code START -9061.69582 0.169211477 0.422696322 EXIT FROM BFGS code FG_START 0. 0.169211477 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.448516756 *** contribution from regularisation: 0.00570233166 *** contribution from error: -0.454219073 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -9234.51121 0.169211477 25.7255154 EXIT FROM BFGS code FG_LNSRCH 0. 0.202624455 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.455701739 *** contribution from regularisation: 0.00838641915 *** contribution from error: -0.464088172 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9382.44329 0.202624455 -28.6503429 EXIT FROM BFGS code NEW_X -9382.44329 0.202624455 -28.6503429 ENTER BFGS code NEW_X -9382.44329 0.202624455 -28.6503429 EXIT FROM BFGS code FG_LNSRCH 0. 0.185379833 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.461925715 *** contribution from regularisation: 0.00743767712 *** contribution from error: -0.469363391 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9510.58835 0.185379833 -3.47229505 EXIT FROM BFGS code NEW_X -9510.58835 0.185379833 -3.47229505 ENTER BFGS code NEW_X -9510.58835 0.185379833 -3.47229505 EXIT FROM BFGS code FG_LNSRCH 0. 0.182836458 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.46221146 *** contribution from regularisation: 0.00730173569 *** contribution from error: -0.469513208 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9516.47194 0.182836458 -3.06045747 EXIT FROM BFGS code NEW_X -9516.47194 0.182836458 -3.06045747 ENTER BFGS code NEW_X -9516.47194 0.182836458 -3.06045747 EXIT FROM BFGS code FG_LNSRCH 0. 0.171688914 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.462552696 *** contribution from regularisation: 0.00699389912 *** contribution from error: -0.469546586 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9523.49775 0.171688914 -1.68575728 EXIT FROM BFGS code NEW_X -9523.49775 0.171688914 -1.68575728 ENTER BFGS code NEW_X -9523.49775 0.171688914 -1.68575728 EXIT FROM BFGS code FG_LNSRCH 0. 0.160568267 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.462909371 *** contribution from regularisation: 0.00677007623 *** contribution from error: -0.469679445 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9530.84112 0.160568267 0.68292731 EXIT FROM BFGS code NEW_X -9530.84112 0.160568267 0.68292731 ENTER BFGS code NEW_X -9530.84112 0.160568267 0.68292731 EXIT FROM BFGS code FG_LNSRCH 0. 0.0784133524 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.462323695 *** contribution from regularisation: 0.00473960768 *** contribution from error: -0.467063308 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9518.78262 0.0784133524 -1.72661436 EXIT FROM BFGS code FG_LNSRCH 0. 0.121915221 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 14.0868225 sigma out 15 active outputs RANK 2 NODE 1 --> 10.9316301 sigma out 15 active outputs RANK 3 NODE 2 --> 9.95252609 sigma out 15 active outputs RANK 4 NODE 6 --> 8.99018288 sigma out 15 active outputs RANK 5 NODE 7 --> 8.0341711 sigma out 15 active outputs RANK 6 NODE 3 --> 6.15928364 sigma out 15 active outputs RANK 7 NODE 4 --> 4.57883739 sigma out 15 active outputs RANK 8 NODE 8 --> 3.73273659 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 11.1427002 sigma in 8act. ( 10.5310841 sig out 1act.) RANK 2 NODE 12 --> 9.57317162 sigma in 8act. ( 7.51169348 sig out 1act.) RANK 3 NODE 3 --> 8.90159798 sigma in 8act. ( 6.27382135 sig out 1act.) RANK 4 NODE 8 --> 8.6166153 sigma in 8act. ( 6.98546696 sig out 1act.) RANK 5 NODE 1 --> 7.52143383 sigma in 8act. ( 5.81951475 sig out 1act.) RANK 6 NODE 2 --> 5.80981159 sigma in 8act. ( 4.12943363 sig out 1act.) RANK 7 NODE 13 --> 5.78550243 sigma in 8act. ( 3.53987503 sig out 1act.) RANK 8 NODE 14 --> 5.58061838 sigma in 8act. ( 3.18573809 sig out 1act.) RANK 9 NODE 15 --> 5.33757305 sigma in 8act. ( 3.21972346 sig out 1act.) RANK 10 NODE 11 --> 4.62111378 sigma in 8act. ( 3.04821157 sig out 1act.) RANK 11 NODE 10 --> 4.42357349 sigma in 8act. ( 1.74575329 sig out 1act.) RANK 12 NODE 6 --> 4.007833 sigma in 8act. ( 1.78380537 sig out 1act.) RANK 13 NODE 5 --> 3.06535435 sigma in 8act. ( 0.778829277 sig out 1act.) RANK 14 NODE 4 --> 2.95920014 sigma in 8act. ( 1.05933118 sig out 1act.) RANK 15 NODE 7 --> 2.70917177 sigma in 8act. ( 0.727529764 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 10.5310841 sigma out 1act.( 11.1427002 sig in 8act.) RANK 2 NODE 12 --> 7.51169348 sigma out 1act.( 9.57317162 sig in 8act.) RANK 3 NODE 8 --> 6.98546696 sigma out 1act.( 8.6166153 sig in 8act.) RANK 4 NODE 3 --> 6.27382135 sigma out 1act.( 8.90159798 sig in 8act.) RANK 5 NODE 1 --> 5.81951475 sigma out 1act.( 7.52143383 sig in 8act.) RANK 6 NODE 2 --> 4.12943363 sigma out 1act.( 5.80981159 sig in 8act.) RANK 7 NODE 13 --> 3.53987503 sigma out 1act.( 5.78550243 sig in 8act.) RANK 8 NODE 15 --> 3.21972346 sigma out 1act.( 5.33757305 sig in 8act.) RANK 9 NODE 14 --> 3.18573809 sigma out 1act.( 5.58061838 sig in 8act.) RANK 10 NODE 11 --> 3.04821157 sigma out 1act.( 4.62111378 sig in 8act.) RANK 11 NODE 6 --> 1.78380537 sigma out 1act.( 4.007833 sig in 8act.) RANK 12 NODE 10 --> 1.74575329 sigma out 1act.( 4.42357349 sig in 8act.) RANK 13 NODE 4 --> 1.05933118 sigma out 1act.( 2.95920014 sig in 8act.) RANK 14 NODE 5 --> 0.778829277 sigma out 1act.( 3.06535435 sig in 8act.) RANK 15 NODE 7 --> 0.727529764 sigma out 1act.( 2.70917177 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 18.9005642 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.461933523 *** contribution from regularisation: 0.00814487506 *** contribution from error: -0.470078409 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -9510.74911 0.121915221 -1.7125895 EXIT FROM BFGS code FG_LNSRCH 0. 0.153101489 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.462725937 *** contribution from regularisation: 0.00715641212 *** contribution from error: -0.469882339 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9527.06415 0.153101489 0.258152127 EXIT FROM BFGS code FG_LNSRCH 0. 0.159381002 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.462547868 *** contribution from regularisation: 0.00716735376 *** contribution from error: -0.469715208 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9523.39829 0.159381002 0.732689738 EXIT FROM BFGS code FG_LNSRCH 0. 0.160522684 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.462601691 *** contribution from regularisation: 0.00707920268 *** contribution from error: -0.469680905 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9524.50647 0.160522684 0.850427091 EXIT FROM BFGS code FG_LNSRCH 0. 0.160568178 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.462634146 *** contribution from regularisation: 0.00704529323 *** contribution from error: -0.469679445 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9525.17473 0.160568178 0.879806101 EXIT FROM BFGS code FG_LNSRCH 0. 0.160568267 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.462714821 *** contribution from regularisation: 0.00696461555 *** contribution from error: -0.469679445 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9526.83575 0.160568267 0.895626485 EXIT FROM BFGS code FG_LNSRCH 0. 0.160568267 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.462598532 *** contribution from regularisation: 0.00708092796 *** contribution from error: -0.469679475 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9524.44099 0.160568267 0.896597445 EXIT FROM BFGS code FG_LNSRCH 0. 0.160568267 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.462635994 *** contribution from regularisation: 0.00704344409 *** contribution from error: -0.469679445 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -9525.21275 0.160568267 0.908027053 EXIT FROM BFGS code NEW_X -9525.21275 0.160568267 0.908027053 ENTER BFGS code NEW_X -9525.21275 0.160568267 0.908027053 EXIT FROM BFGS code CONVERGENC -9525.21275 0.160568267 0.908027053 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 17.4489555 sigma out 15 active outputs RANK 2 NODE 1 --> 15.5392628 sigma out 15 active outputs RANK 3 NODE 2 --> 13.4173555 sigma out 15 active outputs RANK 4 NODE 7 --> 11.5664492 sigma out 15 active outputs RANK 5 NODE 6 --> 11.3601875 sigma out 15 active outputs RANK 6 NODE 3 --> 9.16812229 sigma out 15 active outputs RANK 7 NODE 4 --> 6.68968868 sigma out 15 active outputs RANK 8 NODE 8 --> 5.12945175 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 14.0475073 sigma in 8act. ( 11.9111099 sig out 1act.) RANK 2 NODE 3 --> 13.5709238 sigma in 8act. ( 11.3243074 sig out 1act.) RANK 3 NODE 8 --> 12.2389412 sigma in 8act. ( 10.3572788 sig out 1act.) RANK 4 NODE 9 --> 11.1854181 sigma in 8act. ( 12.0767517 sig out 1act.) RANK 5 NODE 1 --> 10.3695478 sigma in 8act. ( 13.0024967 sig out 1act.) RANK 6 NODE 13 --> 8.10293198 sigma in 8act. ( 6.72786331 sig out 1act.) RANK 7 NODE 15 --> 8.05669498 sigma in 8act. ( 6.98122311 sig out 1act.) RANK 8 NODE 14 --> 7.7489624 sigma in 8act. ( 6.0572896 sig out 1act.) RANK 9 NODE 2 --> 7.50536823 sigma in 8act. ( 6.60316086 sig out 1act.) RANK 10 NODE 11 --> 6.23766899 sigma in 8act. ( 4.85197926 sig out 1act.) RANK 11 NODE 6 --> 5.80870342 sigma in 8act. ( 5.27965069 sig out 1act.) RANK 12 NODE 10 --> 4.79956293 sigma in 8act. ( 2.69311953 sig out 1act.) RANK 13 NODE 4 --> 4.45904684 sigma in 8act. ( 3.87116838 sig out 1act.) RANK 14 NODE 5 --> 3.17699194 sigma in 8act. ( 1.18934536 sig out 1act.) RANK 15 NODE 7 --> 2.71526551 sigma in 8act. ( 0.490694255 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 13.0024967 sigma out 1act.( 10.3695478 sig in 8act.) RANK 2 NODE 9 --> 12.0767517 sigma out 1act.( 11.1854181 sig in 8act.) RANK 3 NODE 12 --> 11.9111099 sigma out 1act.( 14.0475073 sig in 8act.) RANK 4 NODE 3 --> 11.3243074 sigma out 1act.( 13.5709238 sig in 8act.) RANK 5 NODE 8 --> 10.3572788 sigma out 1act.( 12.2389412 sig in 8act.) RANK 6 NODE 15 --> 6.98122311 sigma out 1act.( 8.05669498 sig in 8act.) RANK 7 NODE 13 --> 6.72786331 sigma out 1act.( 8.10293198 sig in 8act.) RANK 8 NODE 2 --> 6.60316086 sigma out 1act.( 7.50536823 sig in 8act.) RANK 9 NODE 14 --> 6.0572896 sigma out 1act.( 7.7489624 sig in 8act.) RANK 10 NODE 6 --> 5.27965069 sigma out 1act.( 5.80870342 sig in 8act.) RANK 11 NODE 11 --> 4.85197926 sigma out 1act.( 6.23766899 sig in 8act.) RANK 12 NODE 4 --> 3.87116838 sigma out 1act.( 4.45904684 sig in 8act.) RANK 13 NODE 10 --> 2.69311953 sigma out 1act.( 4.79956293 sig in 8act.) RANK 14 NODE 5 --> 1.18934536 sigma out 1act.( 3.17699194 sig in 8act.) RANK 15 NODE 7 --> 0.490694255 sigma out 1act.( 2.71526551 sig in 8act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 30.6904755 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.462681204 *** contribution from regularisation: 0.00699825631 *** contribution from error: -0.469679475 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24530 Closing output file done