NNInput NNInputs_170.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= 186484 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 = 50148 nbkg = 136336 Bkg Entries: 136336 Sig Entries: 50148 Chosen entries: 50148 Signal fraction: 1 Background fraction: 0.367827 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 136336 Actual Signal Entries: 50148 Entries to split: 50148 Test with : 25074 Train with : 25074 ********************************************* * 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= 50148 for Signal Prepared event 0 for Signal with 50148 events ====Entry 0 Variable Ht : 206.347 Variable LepAPt : 36.1308 Variable LepBPt : 29.2247 Variable MetSigLeptonsJets : 10.199 Variable MetSpec : 96.7965 Variable SumEtLeptonsJets : 102.892 Variable VSumJetLeptonsPt : 40.6877 Variable addEt : 168.81 Variable dPhiLepSumMet : 2.54625 Variable dPhiLeptons : 0.182576 Variable dRLeptons : 0.326 Variable lep1_E : 42.5211 Variable lep2_E : 30.6986 ===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 = 2170 Ht = 206.347 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.1308 LepAPt = 36.1308 LepBEt = 29.225 LepBPt = 29.2247 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 103.455 MetDelPhi = 1.21007 MetSig = 7.81518 MetSigLeptonsJets = 10.199 MetSpec = 96.7965 Mjj = 0 MostCentralJetEta = -1.03827 MtllMet = 173.786 Njets = 1 SB = 0 SumEt = 175.236 SumEtJets = 0 SumEtLeptonsJets = 102.892 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 40.6877 addEt = 168.81 dPhiLepSumMet = 2.54625 dPhiLeptons = 0.182576 dRLeptons = 0.326 diltype = 47 dimass = 10.613 event = 34 jet1_Et = 37.5368 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 42.5211 lep2_E = 30.6986 rand = 0.999742 run = 175066 weight = 3.57526e-06 ===Show End Prepared event 10000 for Signal with 50148 events Prepared event 20000 for Signal with 50148 events Prepared event 30000 for Signal with 50148 events Prepared event 40000 for Signal with 50148 events Prepared event 50000 for Signal with 50148 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= 136336 for Background Prepared event 0 for Background with 136336 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.361175 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 136336 events Prepared event 20000 for Background with 136336 events Prepared event 30000 for Background with 136336 events Prepared event 40000 for Background with 136336 events Prepared event 50000 for Background with 136336 events Prepared event 60000 for Background with 136336 events Prepared event 70000 for Background with 136336 events Prepared event 80000 for Background with 136336 events Prepared event 90000 for Background with 136336 events Prepared event 100000 for Background with 136336 events Prepared event 110000 for Background with 136336 events Prepared event 120000 for Background with 136336 events Prepared event 130000 for Background with 136336 events Warning: found 4360 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 186484 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 4360 negative weights. Signal fraction: 61.9706268 % ------------------------------ 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 60.0046387 63.0353622 65.5361481 67.2035141 68.3195648 69.4375153 70.4353485 71.3897629 72.3306122 73.3090668 74.1024704 74.878067 75.5263672 76.2877045 76.9858856 77.5655594 78.3607635 79.0774231 79.7755356 80.5820618 81.2477417 82.1532898 82.8891907 83.8133469 84.8696976 86.1833954 87.3788757 88.7471008 89.9217224 91.3711319 92.7751312 94.07724 95.4932098 97.1445923 98.9564056 100.491882 102.113953 103.699799 105.063736 106.485352 108.204697 110.067879 111.795197 113.392181 115.221329 116.95961 118.85392 120.289406 122.171021 124.042473 125.804543 127.425629 129.144043 130.883911 132.435974 134.058258 135.676239 137.399994 138.997589 140.453491 141.901428 143.38736 144.815338 146.305908 147.880829 149.277802 150.788467 152.153625 153.538376 155.023773 156.490387 158.209351 159.555176 161.158417 162.73996 164.610672 166.619598 168.454865 170.612396 172.721313 175.072693 177.645691 180.148743 182.625748 185.53363 188.251877 191.470917 194.889496 198.6017 202.976166 207.136322 212.012909 217.56189 223.742096 231.042542 239.783447 251.190887 266.712799 288.452698 336.199158 843.047852 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.3997269 20.7447014 21.0641994 21.3258896 21.5708122 21.8692894 22.1269283 22.3562927 22.610199 22.8361893 23.0880489 23.2765198 23.4635582 23.7353859 24.0007248 24.2608833 24.501915 24.7323933 24.9929199 25.2266235 25.4885578 25.6843662 25.9294434 26.1459026 26.4061852 26.6436539 26.881897 27.1269112 27.3540573 27.6214256 27.8426437 28.090229 28.3223076 28.6007843 28.8513031 29.1049023 29.3583679 29.6639214 29.9137859 30.2246666 30.5371037 30.8130264 31.0942707 31.370924 31.6578922 31.8980713 32.1635132 32.4951172 32.8342896 33.1656113 33.4696274 33.8009949 34.1029549 34.4217682 34.7617493 35.1314087 35.4321671 35.7761574 36.1034927 36.4496918 36.7931633 37.1360168 37.4991074 37.8318787 38.1879883 38.5469971 38.9466248 39.2289391 39.5931244 39.982338 40.3791046 40.7143021 40.9709778 41.381485 41.7950325 42.2666588 42.7243462 43.1996002 43.7079659 44.2068558 44.7597847 45.321125 45.8662872 46.410778 47.0094795 47.6460495 48.2595825 49.0180817 49.7459488 50.6123314 51.451973 52.4102554 53.4840431 54.7314529 56.2913818 58.1976242 61.0204391 64.9303207 71.9264221 215.671982 ------------------------------ Transdef: Tab for variable 4 10.0006914 10.1349983 10.2759113 10.398056 10.5030098 10.6320896 10.7608967 10.8973293 11.049777 11.2092075 11.3356438 11.4814959 11.6137371 11.7535753 11.9193325 12.0779152 12.2397499 12.3815613 12.576088 12.7696991 12.9413776 13.1558352 13.3441763 13.5238247 13.6879721 13.8473015 14.0157509 14.1965199 14.4352322 14.6882629 14.9001131 15.1391087 15.3474922 15.5397768 15.7960529 16.0019875 16.2774773 16.5214882 16.7691307 17.0061989 17.2793503 17.5802956 17.8563805 18.0319767 18.3714447 18.6680717 18.953825 19.2686653 19.6071854 19.9402409 20.1975632 20.4075966 20.6770363 20.9903469 21.2594986 21.5539513 21.8126793 22.010479 22.2976379 22.6044731 22.9354401 23.2419739 23.5520096 23.8574829 24.1648674 24.4719276 24.8208275 25.1651726 25.4995995 25.8093414 26.1403904 26.4216614 26.7458 27.0874424 27.4308243 27.7511063 28.0694885 28.3580494 28.6923256 29.0329247 29.408432 29.7916069 30.1618195 30.5384464 30.9537182 31.3440151 31.7716103 32.218544 32.7225952 33.2021446 33.702755 34.2757416 34.8851471 35.573494 36.3382263 37.2253151 38.2980728 39.835434 42.2012787 46.220665 72.0671005 ------------------------------ Transdef: Tab for variable 5 1.23494017 2.7632966 3.23577309 3.566329 3.83936262 4.04275894 4.1832943 4.30773497 4.44936752 4.58046961 4.66301155 4.76692629 4.85850811 4.93974113 5.02929258 5.10625887 5.163486 5.22965097 5.29877377 5.36570072 5.42846394 5.48261833 5.52441311 5.5654726 5.62094116 5.66762638 5.71989059 5.78102732 5.83273506 5.88572884 5.93375063 5.98060226 6.01884365 6.06681156 6.10840797 6.15882683 6.20627785 6.25270081 6.29105759 6.34328747 6.40104389 6.44904518 6.49178219 6.53878403 6.58741379 6.63823223 6.67926502 6.73295307 6.78106117 6.83018208 6.87314606 6.93151188 6.97543049 7.03049517 7.07745218 7.13574982 7.19020271 7.24183273 7.29406118 7.34860229 7.40171528 7.46051311 7.50137043 7.55396366 7.61716461 7.67243862 7.73176384 7.7979641 7.85062027 7.91256428 7.97435951 8.03343868 8.08778858 8.1603508 8.21970654 8.28350735 8.34777737 8.412076 8.47392178 8.53386879 8.59978485 8.66684151 8.7344799 8.80153847 8.86851978 8.94740963 9.01796818 9.10115528 9.19324684 9.28873444 9.39369965 9.50505066 9.63247108 9.77640533 9.93338776 10.1410151 10.3871031 10.7292795 11.2593622 12.3111534 17.7251911 ------------------------------ Transdef: Tab for variable 6 15.0050735 21.7581444 25.5881691 26.7214298 27.7684631 28.8049793 29.5270653 30.4241219 31.0684414 31.8055573 32.3838425 32.964035 33.4631996 33.930275 34.5028152 34.8852921 35.2926636 35.70578 36.0759583 36.50103 36.8845215 37.2825813 37.7224808 38.126049 38.5572357 38.9631577 39.3710785 39.8100739 40.2288322 40.5754852 41.0515137 41.5759735 42.0813065 42.4769402 42.8852692 43.2104568 43.7578735 44.3040771 44.8659363 45.483963 45.9990768 46.6900711 47.2520065 48.0369492 48.6735115 49.3112564 50.000351 50.537159 51.3258476 52.1831703 53.0273514 53.9352875 54.5976028 55.3831024 56.1488304 56.878624 57.7468414 58.5360107 59.2778625 60.0720673 60.901207 61.7091064 62.5645447 63.4054871 64.2762756 65.0925217 65.8894958 66.7186661 67.534317 68.3166504 69.0787964 69.8410568 70.6869583 71.4274902 72.1767502 72.9598389 73.8058472 74.6362305 75.3968811 76.1308441 76.7149048 77.491394 78.3123093 79.1849976 80.1302795 81.1145706 82.2806778 83.3225708 84.5210419 85.8044891 87.1743927 88.813736 90.7323456 92.8271332 95.6106415 98.7966156 102.644745 107.356506 115.012161 128.13237 245.43103 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.5621185 33.6419983 34.2975006 35.0125351 35.6313477 36.1866226 36.6822281 37.0436363 37.4607887 37.8848839 38.2261887 38.5390663 38.8396225 39.1685257 39.484211 39.8377647 40.1845398 40.4473419 40.8993454 41.3095169 41.6702538 42.1135864 42.5741272 43.0568619 43.6020164 44.3338585 44.9054565 45.4893188 46.3195953 47.2338181 48.1643753 49.1185379 50.0919037 51.1677513 52.2097473 53.0763321 54.0574265 55.1875687 56.1009483 57.1280823 58.0861931 59.0383987 60.0595589 60.9626846 61.3979874 62.32687 63.1049919 63.9343948 64.8862686 65.7451324 66.6254883 67.6246796 68.4883728 69.4080353 70.2960205 70.9823532 71.8952789 72.8097839 73.5286331 74.3482666 75.3334198 76.3166122 77.0348358 78.0510941 78.8005219 79.8200302 80.8549347 81.9675522 83.0594101 84.474205 85.9492035 87.3650131 88.90065 90.5966415 92.2924194 93.9109497 95.6374283 97.285202 99.0028305 100.918671 102.890785 104.857132 107.019989 109.198151 111.706612 114.230988 116.888367 120.152466 123.359665 127.042297 130.895523 135.747253 140.969482 147.517853 155.298615 164.830902 176.766693 194.393967 233.077515 527.566101 ------------------------------ Transdef: Tab for variable 8 3.08650303 26.4473267 29.6101036 31.109026 32.1381149 32.8990631 33.4795532 33.9905777 34.503212 34.9763031 35.3829041 35.8030472 36.1723061 36.5421448 36.8571167 37.1359444 37.3859062 37.7429352 38.0310669 38.3011971 38.5793762 38.8402176 39.141098 39.4229774 39.7164154 40.0655441 40.4459457 40.8153381 41.2197876 41.6186562 42.0145187 42.4294434 42.7789497 43.3145752 43.7273865 44.2664261 44.8323441 45.224762 45.8653412 46.6044655 47.3158875 48.0201416 48.5717125 49.170723 49.861969 50.569458 51.2539444 51.9872055 52.7444077 53.4211349 54.1352844 54.9049911 55.657341 56.4317169 57.208992 57.9290504 58.5657578 59.2763748 59.9904251 60.7736855 61.3074493 62.0187569 62.743576 63.4823837 64.1940918 64.9122391 65.6620941 66.3894501 67.0732269 67.7966614 68.5196152 69.294838 70.0075989 70.6697617 71.4409409 72.1729126 72.8907471 73.6580963 74.3896637 75.2195587 76.011261 76.7328644 77.5784454 78.420578 79.2616577 80.1736298 81.1988678 82.2431793 83.4568939 84.7923355 86.3085709 88.0458908 90.1457367 92.7139893 95.5346375 98.8952789 103.382736 109.598083 119.600784 137.792953 313.20459 ------------------------------ Transdef: Tab for variable 9 48.8581314 62.8023148 64.9269714 66.7277603 67.7657394 68.8491974 69.8575897 70.6558609 71.4709778 72.3306122 73.2007294 73.9556885 74.6020203 75.2404785 75.8759384 76.60112 77.0652542 77.6516876 78.3391724 78.9811401 79.6779251 80.3613129 80.9723969 81.5827789 82.4077911 82.9884109 83.6877518 84.5505676 85.3458328 86.4279022 87.1809692 88.3279114 89.2819214 90.0955658 91.3336182 92.4807892 93.5584641 94.8076019 95.9554901 97.3416138 98.8235779 100.173737 101.632332 102.892731 104.346008 105.864624 107.160507 108.723999 110.268158 111.695915 113.092209 114.501389 115.884804 117.251984 118.639511 119.717636 121.042297 122.462479 123.998505 125.327011 126.575272 127.913055 129.163757 130.369339 131.749908 133.010468 134.332306 135.628937 136.917175 138.153 139.351807 140.572571 141.645096 142.743057 143.908691 145.054932 146.222397 147.446716 148.500031 149.757385 150.924133 152.006409 153.194717 154.335846 155.47673 156.527893 157.818756 159.110184 160.288193 161.596954 163.043884 164.737457 166.431702 168.451202 170.491913 173.192413 176.790833 181.536407 190.765625 214.525894 419.459076 ------------------------------ Transdef: Tab for variable 10 0.0173770282 0.989045322 1.38444376 1.62941849 1.80519271 1.93274152 2.03161335 2.11419201 2.18635511 2.24480796 2.2974925 2.34617591 2.39246368 2.42944431 2.46446204 2.49626541 2.52902079 2.55536699 2.58145475 2.60713816 2.6300509 2.65398383 2.6760788 2.69612026 2.71470547 2.73246169 2.75056076 2.76638269 2.77887011 2.79301143 2.80595827 2.82068372 2.83229065 2.84295368 2.85423183 2.86427426 2.87438917 2.8840127 2.89327478 2.90121603 2.91064787 2.91805911 2.9257586 2.93320656 2.94096899 2.94877005 2.9545989 2.96051025 2.96646309 2.97282362 2.97853947 2.98364353 2.98819685 2.99290609 2.99629831 3.00149202 3.00566149 3.01025105 3.01504421 3.01929426 3.02376652 3.02785611 3.03158879 3.03553367 3.03916693 3.04287839 3.04687929 3.0505991 3.05399823 3.05708694 3.06088734 3.06397533 3.06752682 3.07074046 3.07374954 3.07679653 3.08015347 3.08279777 3.08563185 3.08863211 3.09161425 3.09421062 3.09678316 3.09960842 3.10218906 3.10476589 3.10742426 3.10997081 3.1127913 3.11564875 3.11828089 3.12092686 3.12316275 3.12552381 3.1281209 3.13043165 3.13205338 3.13415241 3.1365447 3.13898563 3.14159131 ------------------------------ Transdef: Tab for variable 11 2.86871432E-06 0.00583195686 0.0105228378 0.0178478286 0.0241239667 0.030249767 0.0373756289 0.0445238352 0.0514631271 0.0601397753 0.0673532486 0.0751734972 0.0812803805 0.0887846947 0.0962418392 0.10310927 0.10927093 0.116292477 0.123635411 0.130225003 0.137512922 0.145213127 0.152490243 0.158465147 0.164997101 0.171389043 0.177010417 0.182843506 0.188562632 0.194246411 0.199884415 0.205192149 0.210066438 0.215059265 0.220701933 0.225749493 0.230636358 0.235424399 0.240529537 0.245342076 0.25044179 0.255573988 0.2605398 0.265789509 0.270290643 0.275235891 0.280023277 0.28474468 0.289820611 0.294817805 0.29986915 0.304938436 0.309925318 0.315264434 0.32061553 0.325740218 0.331582904 0.336541831 0.342740834 0.348462403 0.354121447 0.360117435 0.365583658 0.371937364 0.377574861 0.383392572 0.387780428 0.393159866 0.399525404 0.405877531 0.412964016 0.418814301 0.425476253 0.431653857 0.438649476 0.445979357 0.452447951 0.46006918 0.467264533 0.474847972 0.482856214 0.492345095 0.501654744 0.510869145 0.522388935 0.531699896 0.539781034 0.550637066 0.563969254 0.577150106 0.592119992 0.607617855 0.625259638 0.639521122 0.654741347 0.680940866 0.709210157 0.735518217 0.782116294 0.849099278 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.210416019 0.219107121 0.228099972 0.23571527 0.243130922 0.250389069 0.256692708 0.263831496 0.271033496 0.277134597 0.282756031 0.288116187 0.294073731 0.299925148 0.305271208 0.31073159 0.315892339 0.321087241 0.326672852 0.332104743 0.336887658 0.341699183 0.34726578 0.351871014 0.35582599 0.360527933 0.365324408 0.370535433 0.375452578 0.38006109 0.385130048 0.38955003 0.394391477 0.399335027 0.403522462 0.406914681 0.41085735 0.414438963 0.418301225 0.421690226 0.425334126 0.428885043 0.432110935 0.436368793 0.43970269 0.443491638 0.447613686 0.45191586 0.456320316 0.459947497 0.464339852 0.468450487 0.472246408 0.476254404 0.479297757 0.483222365 0.487948626 0.492049158 0.496997356 0.501516581 0.505999386 0.510725558 0.515316367 0.521162987 0.526944578 0.531988859 0.537677944 0.543807328 0.547426462 0.552672029 0.558682323 0.564860046 0.571396947 0.577692866 0.583984792 0.591220498 0.597569704 0.604800463 0.613696456 0.620764017 0.629759789 0.639366388 0.648715973 0.657465458 0.665953755 0.675218225 0.683822989 0.694986522 0.705059588 0.717845798 0.727533698 0.741242528 0.754374623 0.76998651 0.787916183 0.804186583 0.829305649 0.86064297 0.896999836 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.8130531 22.652071 23.3889503 24.0913544 24.736578 25.2116432 25.8123913 26.3106117 26.8187046 27.2259846 27.6518898 28.1318092 28.5657196 28.9516449 29.3274269 29.7260551 30.0638714 30.4331245 30.7788963 31.1030083 31.4230232 31.8020535 32.2248001 32.5210953 32.8690338 33.2165985 33.6117439 33.9895935 34.34478 34.6120567 34.9804802 35.359108 35.710083 36.0530624 36.324791 36.7030334 37.1733551 37.5236588 37.8955193 38.3398781 38.667614 39.0197906 39.4554863 39.7874832 40.1889954 40.5892868 40.9894714 41.3625793 41.7927246 42.2357368 42.6476326 43.0555038 43.4531059 43.8623123 44.2960091 44.7263985 45.2113724 45.6872025 46.2134628 46.6055069 47.0935898 47.5828705 48.020668 48.4911499 48.9563217 49.4584236 49.9688492 50.4963913 51.0046158 51.5509415 52.105381 52.6825256 53.306366 53.9066925 54.5858688 55.194397 55.7802963 56.5172653 57.2616501 58.0127106 58.7071838 59.5848083 60.3482056 61.3962326 62.4304123 63.6372604 64.730896 66.0895538 67.3453293 68.4196167 69.9308701 71.8397217 74.1142807 76.5963669 79.4642029 82.9949875 87.6026688 92.3865662 101.780365 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7996979 11.2633076 11.6267481 11.9827099 12.3175669 12.6718864 13.0499058 13.4038191 13.6817846 13.944622 14.3255653 14.6974916 15.0170193 15.3367777 15.6202335 15.9400177 16.2862034 16.5693626 16.7943192 17.1243687 17.4930229 17.8002014 18.1009007 18.3947411 18.7280884 19.0221157 19.3540611 19.7031841 20.0447063 20.4200478 20.7199097 21.0629959 21.3999939 21.7328911 22.0027313 22.2699013 22.5697594 22.8676453 23.1819572 23.5183449 23.8262196 24.1498756 24.4769878 24.8235397 25.1140137 25.4313278 25.7408371 26.0530815 26.3914299 26.7255821 27.068985 27.3664093 27.6772747 27.9611874 28.1761837 28.4380035 28.7455387 29.0728664 29.3940468 29.7053642 30.0440712 30.3362598 30.6865692 31.0391731 31.353241 31.6854668 32.032608 32.3659973 32.6918488 33.0426331 33.4089432 33.6743546 34.0131149 34.3856964 34.8031921 35.2318382 35.674984 36.0745697 36.4988403 36.970787 37.4484253 38.0032349 38.5623627 39.0922508 39.724411 40.2138443 40.9060822 41.6027603 42.4089508 43.2359085 44.2020187 45.1289177 46.4128647 47.7608299 49.4348907 51.6397781 54.3106003 58.0022697 64.4971542 130.657516 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 64.2 51.3 56.4 31.3 50.7 61.9 54.6 63.1 -22.7 -21.9 -44.0 17.4 31.7 2 64.2 100.0 67.9 63.1 41.0 71.1 94.8 78.2 92.5 -43.6 -27.6 -53.5 34.7 38.9 3 51.3 67.9 100.0 51.9 15.8 39.0 70.6 57.0 73.9 -14.1 -30.0 -59.8 63.8 30.5 4 56.4 63.1 51.9 100.0 20.9 41.5 63.6 55.2 69.1 -10.7 -33.5 -66.7 25.5 73.9 5 31.3 41.0 15.8 20.9 100.0 84.2 15.1 61.3 60.9 19.9 -10.0 -16.6 1.3 9.8 6 50.7 71.1 39.0 41.5 84.2 100.0 51.6 80.4 80.7 -7.6 -19.5 -34.8 14.4 23.4 7 61.9 94.8 70.6 63.6 15.1 51.6 100.0 70.1 82.0 -51.8 -26.6 -53.9 38.3 40.2 8 54.6 78.2 57.0 55.2 61.3 80.4 70.1 100.0 85.4 -12.7 -26.6 -47.9 29.1 34.8 9 63.1 92.5 73.9 69.1 60.9 80.7 82.0 85.4 100.0 -20.6 -30.4 -59.5 39.6 44.0 10 -22.7 -43.6 -14.1 -10.7 19.9 -7.6 -51.8 -12.7 -20.6 100.0 1.7 7.4 -4.4 -4.2 11 -21.9 -27.6 -30.0 -33.5 -10.0 -19.5 -26.6 -26.6 -30.4 1.7 100.0 55.2 -14.0 -24.2 12 -44.0 -53.5 -59.8 -66.7 -16.6 -34.8 -53.9 -47.9 -59.5 7.4 55.2 100.0 -31.0 -43.6 13 17.4 34.7 63.8 25.5 1.3 14.4 38.3 29.1 39.6 -4.4 -14.0 -31.0 100.0 49.9 14 31.7 38.9 30.5 73.9 9.8 23.4 40.2 34.8 44.0 -4.2 -24.2 -43.6 49.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 168.875673 TOTAL CORRELATION OF ALL VARIABLES 71.6710039 ROUND 1: MAX CORR ( 71.6686675) AFTER KILLING INPUT VARIABLE 14 CONTR 0.578700693 ROUND 2: MAX CORR ( 71.6634557) AFTER KILLING INPUT VARIABLE 11 CONTR 0.864301395 ROUND 3: MAX CORR ( 71.6493395) AFTER KILLING INPUT VARIABLE 8 CONTR 1.42233219 ROUND 4: MAX CORR ( 71.6313996) AFTER KILLING INPUT VARIABLE 12 CONTR 1.60326217 ROUND 5: MAX CORR ( 71.5360459) AFTER KILLING INPUT VARIABLE 10 CONTR 3.69479896 ROUND 6: MAX CORR ( 71.3763931) AFTER KILLING INPUT VARIABLE 2 CONTR 4.77664873 ROUND 7: MAX CORR ( 71.1061921) AFTER KILLING INPUT VARIABLE 6 CONTR 6.20475136 ROUND 8: MAX CORR ( 70.1697784) AFTER KILLING INPUT VARIABLE 13 CONTR 11.5018588 ROUND 9: MAX CORR ( 68.7994579) AFTER KILLING INPUT VARIABLE 9 CONTR 13.7997244 ROUND 10: MAX CORR ( 68.4463551) AFTER KILLING INPUT VARIABLE 3 CONTR 6.96145696 ROUND 11: MAX CORR ( 65.7320985) AFTER KILLING INPUT VARIABLE 4 CONTR 19.0838873 ROUND 12: MAX CORR ( 61.8612676) AFTER KILLING INPUT VARIABLE 5 CONTR 22.2236887 LAST REMAINING VARIABLE: 7 total correlation to target: 71.6710039 % total significance: 144.418594 sigma correlations of single variables to target: variable 2: 64.2145511 % , in sigma: 129.393683 variable 3: 51.2911162 % , in sigma: 103.352687 variable 4: 56.4338823 % , in sigma: 113.71547 variable 5: 31.338963 % , in sigma: 63.1486755 variable 6: 50.6940649 % , in sigma: 102.149617 variable 7: 61.8612676 % , in sigma: 124.651767 variable 8: 54.6109621 % , in sigma: 110.042247 variable 9: 63.0809175 % , in sigma: 127.109387 variable 10: -22.6999977 % , in sigma: 45.7409771 variable 11: -21.888317 % , in sigma: 44.1054232 variable 12: -43.99419 % , in sigma: 88.6492265 variable 13: 17.4143013 % , in sigma: 35.0901866 variable 14: 31.7237013 % , in sigma: 63.9239312 variables sorted by significance: 1 most relevant variable 7 corr 61.8612671 , in sigma: 124.651766 2 most relevant variable 5 corr 22.2236881 , in sigma: 44.7812032 3 most relevant variable 4 corr 19.0838871 , in sigma: 38.4544375 4 most relevant variable 3 corr 6.96145678 , in sigma: 14.0274831 5 most relevant variable 9 corr 13.7997246 , in sigma: 27.8067379 6 most relevant variable 13 corr 11.5018587 , in sigma: 23.1764894 7 most relevant variable 6 corr 6.20475149 , in sigma: 12.5027059 8 most relevant variable 2 corr 4.77664852 , in sigma: 9.62504813 9 most relevant variable 10 corr 3.69479895 , in sigma: 7.44509828 10 most relevant variable 12 corr 1.60326219 , in sigma: 3.23060733 11 most relevant variable 8 corr 1.42233217 , in sigma: 2.8660295 12 most relevant variable 11 corr 0.864301383 , in sigma: 1.74158563 13 most relevant variable 14 corr 0.578700721 , in sigma: 1.16609423 global correlations between input variables: variable 2: 99.2302282 % variable 3: 92.9079805 % variable 4: 92.6304451 % variable 5: 95.3480643 % variable 6: 94.1737798 % variable 7: 98.8571311 % variable 8: 90.793776 % variable 9: 98.858246 % variable 10: 71.3487447 % variable 11: 56.4493474 % variable 12: 79.3350495 % variable 13: 84.7796017 % variable 14: 88.5612412 % significance loss when removing single variables: variable 2: corr = 3.29650148 % , sigma = 6.64252044 variable 3: corr = 17.2557332 % , sigma = 34.7706687 variable 4: corr = 14.8263933 % , sigma = 29.8754972 variable 5: corr = 12.4125789 % , sigma = 25.0116098 variable 6: corr = 5.33831998 % , sigma = 10.756828 variable 7: corr = 6.23313344 % , sigma = 12.5598961 variable 8: corr = 1.3655232 % , sigma = 2.75155822 variable 9: corr = 13.0157212 % , sigma = 26.2269545 variable 10: corr = 3.37788718 % , sigma = 6.80651435 variable 11: corr = 0.911755508 % , sigma = 1.8372067 variable 12: corr = 0.958391713 % , sigma = 1.93117964 variable 13: corr = 8.14932945 % , sigma = 16.4210718 variable 14: corr = 0.578700693 % , sigma = 1.16609418 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 22.1025295 sigma out 15 active outputs RANK 2 NODE 10 --> 18.6639462 sigma out 15 active outputs RANK 3 NODE 2 --> 18.6239414 sigma out 15 active outputs RANK 4 NODE 8 --> 18.5930214 sigma out 15 active outputs RANK 5 NODE 9 --> 16.3144703 sigma out 15 active outputs RANK 6 NODE 7 --> 15.7781973 sigma out 15 active outputs RANK 7 NODE 1 --> 14.4236832 sigma out 15 active outputs RANK 8 NODE 6 --> 13.5173016 sigma out 15 active outputs RANK 9 NODE 4 --> 11.8770008 sigma out 15 active outputs RANK 10 NODE 5 --> 10.8020678 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 25.1406441 sigma in 10act. ( 26.6952991 sig out 1act.) RANK 2 NODE 2 --> 20.9862537 sigma in 10act. ( 26.2834339 sig out 1act.) RANK 3 NODE 8 --> 20.8326187 sigma in 10act. ( 22.7490387 sig out 1act.) RANK 4 NODE 4 --> 20.229475 sigma in 10act. ( 23.9001217 sig out 1act.) RANK 5 NODE 15 --> 12.4677877 sigma in 10act. ( 15.1276264 sig out 1act.) RANK 6 NODE 11 --> 11.9022207 sigma in 10act. ( 11.9371119 sig out 1act.) RANK 7 NODE 10 --> 11.6243858 sigma in 10act. ( 12.3776226 sig out 1act.) RANK 8 NODE 14 --> 10.3945408 sigma in 10act. ( 10.1954355 sig out 1act.) RANK 9 NODE 12 --> 8.79955769 sigma in 10act. ( 11.4457798 sig out 1act.) RANK 10 NODE 5 --> 8.65254879 sigma in 10act. ( 8.71595764 sig out 1act.) RANK 11 NODE 1 --> 5.5333147 sigma in 10act. ( 0.213286608 sig out 1act.) RANK 12 NODE 9 --> 5.18775654 sigma in 10act. ( 4.50591087 sig out 1act.) RANK 13 NODE 6 --> 4.03996563 sigma in 10act. ( 6.27884722 sig out 1act.) RANK 14 NODE 3 --> 2.43766832 sigma in 10act. ( 0.46575141 sig out 1act.) RANK 15 NODE 7 --> 2.22689319 sigma in 10act. ( 0.833203077 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 26.6952991 sigma out 1act.( 25.1406441 sig in 10act.) RANK 2 NODE 2 --> 26.2834339 sigma out 1act.( 20.9862537 sig in 10act.) RANK 3 NODE 4 --> 23.9001217 sigma out 1act.( 20.229475 sig in 10act.) RANK 4 NODE 8 --> 22.7490387 sigma out 1act.( 20.8326187 sig in 10act.) RANK 5 NODE 15 --> 15.1276264 sigma out 1act.( 12.4677877 sig in 10act.) RANK 6 NODE 10 --> 12.3776226 sigma out 1act.( 11.6243858 sig in 10act.) RANK 7 NODE 11 --> 11.9371119 sigma out 1act.( 11.9022207 sig in 10act.) RANK 8 NODE 12 --> 11.4457798 sigma out 1act.( 8.79955769 sig in 10act.) RANK 9 NODE 14 --> 10.1954355 sigma out 1act.( 10.3945408 sig in 10act.) RANK 10 NODE 5 --> 8.71595764 sigma out 1act.( 8.65254879 sig in 10act.) RANK 11 NODE 6 --> 6.27884722 sigma out 1act.( 4.03996563 sig in 10act.) RANK 12 NODE 9 --> 4.50591087 sigma out 1act.( 5.18775654 sig in 10act.) RANK 13 NODE 7 --> 0.833203077 sigma out 1act.( 2.22689319 sig in 10act.) RANK 14 NODE 3 --> 0.46575141 sigma out 1act.( 2.43766832 sig in 10act.) RANK 15 NODE 1 --> 0.213286608 sigma out 1act.( 5.5333147 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 58.2094688 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 24.160717 sigma out 15 active outputs RANK 2 NODE 3 --> 20.6173458 sigma out 15 active outputs RANK 3 NODE 8 --> 18.9311008 sigma out 15 active outputs RANK 4 NODE 10 --> 18.5835934 sigma out 15 active outputs RANK 5 NODE 2 --> 17.8233109 sigma out 15 active outputs RANK 6 NODE 7 --> 17.1265659 sigma out 15 active outputs RANK 7 NODE 1 --> 15.6200829 sigma out 15 active outputs RANK 8 NODE 6 --> 15.3795691 sigma out 15 active outputs RANK 9 NODE 4 --> 12.031703 sigma out 15 active outputs RANK 10 NODE 5 --> 10.9544115 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 25.424057 sigma in 10act. ( 24.0370617 sig out 1act.) RANK 2 NODE 13 --> 22.8061047 sigma in 10act. ( 21.6566448 sig out 1act.) RANK 3 NODE 4 --> 20.02071 sigma in 10act. ( 21.2934227 sig out 1act.) RANK 4 NODE 8 --> 18.097847 sigma in 10act. ( 18.6635818 sig out 1act.) RANK 5 NODE 15 --> 15.0119286 sigma in 10act. ( 15.6161299 sig out 1act.) RANK 6 NODE 12 --> 13.4058342 sigma in 10act. ( 11.3769407 sig out 1act.) RANK 7 NODE 6 --> 12.0620604 sigma in 10act. ( 7.04279327 sig out 1act.) RANK 8 NODE 14 --> 11.9244661 sigma in 10act. ( 9.00671673 sig out 1act.) RANK 9 NODE 11 --> 10.7050381 sigma in 10act. ( 10.8686886 sig out 1act.) RANK 10 NODE 10 --> 10.0282946 sigma in 10act. ( 10.2527857 sig out 1act.) RANK 11 NODE 5 --> 10.0198669 sigma in 10act. ( 8.42965031 sig out 1act.) RANK 12 NODE 9 --> 8.27416992 sigma in 10act. ( 4.24819565 sig out 1act.) RANK 13 NODE 1 --> 6.17525053 sigma in 10act. ( 1.77521443 sig out 1act.) RANK 14 NODE 3 --> 5.95926142 sigma in 10act. ( 1.21835124 sig out 1act.) RANK 15 NODE 7 --> 4.8505125 sigma in 10act. ( 0.356643647 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 24.0370617 sigma out 1act.( 25.424057 sig in 10act.) RANK 2 NODE 13 --> 21.6566448 sigma out 1act.( 22.8061047 sig in 10act.) RANK 3 NODE 4 --> 21.2934227 sigma out 1act.( 20.02071 sig in 10act.) RANK 4 NODE 8 --> 18.6635818 sigma out 1act.( 18.097847 sig in 10act.) RANK 5 NODE 15 --> 15.6161299 sigma out 1act.( 15.0119286 sig in 10act.) RANK 6 NODE 12 --> 11.3769407 sigma out 1act.( 13.4058342 sig in 10act.) RANK 7 NODE 11 --> 10.8686886 sigma out 1act.( 10.7050381 sig in 10act.) RANK 8 NODE 10 --> 10.2527857 sigma out 1act.( 10.0282946 sig in 10act.) RANK 9 NODE 14 --> 9.00671673 sigma out 1act.( 11.9244661 sig in 10act.) RANK 10 NODE 5 --> 8.42965031 sigma out 1act.( 10.0198669 sig in 10act.) RANK 11 NODE 6 --> 7.04279327 sigma out 1act.( 12.0620604 sig in 10act.) RANK 12 NODE 9 --> 4.24819565 sigma out 1act.( 8.27416992 sig in 10act.) RANK 13 NODE 1 --> 1.77521443 sigma out 1act.( 6.17525053 sig in 10act.) RANK 14 NODE 3 --> 1.21835124 sigma out 1act.( 5.95926142 sig in 10act.) RANK 15 NODE 7 --> 0.356643647 sigma out 1act.( 4.8505125 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 51.6688194 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.41993925 *** contribution from regularisation: 0.00378509215 *** contribution from error: -0.423724353 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.477408826 *** contribution from regularisation: 0.00224012369 *** contribution from error: -0.479648948 *********************************************** -----------------> Test sample ENTER BFGS code START -44523.8778 0.0261218045 -0.447000593 EXIT FROM BFGS code FG_START 0. 0.0261218045 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.507763863 *** contribution from regularisation: 0.00230044918 *** contribution from error: -0.510064304 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -47344.9203 0.0261218045 -443.967133 EXIT FROM BFGS code FG_LNSRCH 0. -0.0566130131 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.535653234 *** contribution from regularisation: 0.00294687971 *** contribution from error: -0.538600087 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49945.3815 -0.0566130131 -332.421783 EXIT FROM BFGS code NEW_X -49945.3815 -0.0566130131 -332.421783 ENTER BFGS code NEW_X -49945.3815 -0.0566130131 -332.421783 EXIT FROM BFGS code FG_LNSRCH 0. -0.114359878 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.54061377 *** contribution from regularisation: 0.00298828888 *** contribution from error: -0.543602049 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50407.911 -0.114359878 -91.3809433 EXIT FROM BFGS code NEW_X -50407.911 -0.114359878 -91.3809433 ENTER BFGS code NEW_X -50407.911 -0.114359878 -91.3809433 EXIT FROM BFGS code FG_LNSRCH 0. -0.14426221 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.542302728 *** contribution from regularisation: 0.00289949519 *** contribution from error: -0.545202196 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50565.3883 -0.14426221 9.0932045 EXIT FROM BFGS code NEW_X -50565.3883 -0.14426221 9.0932045 ENTER BFGS code NEW_X -50565.3883 -0.14426221 9.0932045 EXIT FROM BFGS code FG_LNSRCH 0. -0.161368057 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.543381929 *** contribution from regularisation: 0.00283477246 *** contribution from error: -0.546216726 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50666.0156 -0.161368057 45.7981339 EXIT FROM BFGS code NEW_X -50666.0156 -0.161368057 45.7981339 ENTER BFGS code NEW_X -50666.0156 -0.161368057 45.7981339 EXIT FROM BFGS code FG_LNSRCH 0. -0.176994279 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.544596553 *** contribution from regularisation: 0.00285329763 *** contribution from error: -0.547449827 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50779.2712 -0.176994279 69.7693787 EXIT FROM BFGS code NEW_X -50779.2712 -0.176994279 69.7693787 ENTER BFGS code NEW_X -50779.2712 -0.176994279 69.7693787 EXIT FROM BFGS code FG_LNSRCH 0. -0.142754495 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.54488641 *** contribution from regularisation: 0.0029725919 *** contribution from error: -0.547859013 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50806.301 -0.142754495 -203.212433 EXIT FROM BFGS code NEW_X -50806.301 -0.142754495 -203.212433 ENTER BFGS code NEW_X -50806.301 -0.142754495 -203.212433 EXIT FROM BFGS code FG_LNSRCH 0. -0.178876266 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 37.4558792 sigma out 15 active outputs RANK 2 NODE 10 --> 22.6535873 sigma out 15 active outputs RANK 3 NODE 8 --> 22.5168438 sigma out 15 active outputs RANK 4 NODE 1 --> 21.8253098 sigma out 15 active outputs RANK 5 NODE 2 --> 20.0574207 sigma out 15 active outputs RANK 6 NODE 7 --> 16.6720295 sigma out 15 active outputs RANK 7 NODE 4 --> 14.2230978 sigma out 15 active outputs RANK 8 NODE 3 --> 13.2976046 sigma out 15 active outputs RANK 9 NODE 6 --> 11.6509619 sigma out 15 active outputs RANK 10 NODE 5 --> 7.50830269 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 27.9162807 sigma in 10act. ( 22.6533775 sig out 1act.) RANK 2 NODE 4 --> 26.3552876 sigma in 10act. ( 25.4550991 sig out 1act.) RANK 3 NODE 2 --> 24.8186874 sigma in 10act. ( 21.0821705 sig out 1act.) RANK 4 NODE 1 --> 19.6059666 sigma in 10act. ( 20.1652012 sig out 1act.) RANK 5 NODE 6 --> 18.7880497 sigma in 10act. ( 17.5959244 sig out 1act.) RANK 6 NODE 12 --> 18.4487953 sigma in 10act. ( 15.2203503 sig out 1act.) RANK 7 NODE 8 --> 15.0198288 sigma in 10act. ( 13.3220243 sig out 1act.) RANK 8 NODE 14 --> 14.35116 sigma in 10act. ( 13.6318216 sig out 1act.) RANK 9 NODE 15 --> 12.389823 sigma in 10act. ( 13.3897648 sig out 1act.) RANK 10 NODE 10 --> 11.3650923 sigma in 10act. ( 9.85682297 sig out 1act.) RANK 11 NODE 11 --> 9.21525097 sigma in 10act. ( 8.16678047 sig out 1act.) RANK 12 NODE 3 --> 8.87609768 sigma in 10act. ( 7.48469925 sig out 1act.) RANK 13 NODE 9 --> 7.27638149 sigma in 10act. ( 5.05290508 sig out 1act.) RANK 14 NODE 5 --> 6.63828993 sigma in 10act. ( 4.37352228 sig out 1act.) RANK 15 NODE 7 --> 2.89950848 sigma in 10act. ( 0.254822135 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 25.4550991 sigma out 1act.( 26.3552876 sig in 10act.) RANK 2 NODE 13 --> 22.6533775 sigma out 1act.( 27.9162807 sig in 10act.) RANK 3 NODE 2 --> 21.0821705 sigma out 1act.( 24.8186874 sig in 10act.) RANK 4 NODE 1 --> 20.1652012 sigma out 1act.( 19.6059666 sig in 10act.) RANK 5 NODE 6 --> 17.5959244 sigma out 1act.( 18.7880497 sig in 10act.) RANK 6 NODE 12 --> 15.2203503 sigma out 1act.( 18.4487953 sig in 10act.) RANK 7 NODE 14 --> 13.6318216 sigma out 1act.( 14.35116 sig in 10act.) RANK 8 NODE 15 --> 13.3897648 sigma out 1act.( 12.389823 sig in 10act.) RANK 9 NODE 8 --> 13.3220243 sigma out 1act.( 15.0198288 sig in 10act.) RANK 10 NODE 10 --> 9.85682297 sigma out 1act.( 11.3650923 sig in 10act.) RANK 11 NODE 11 --> 8.16678047 sigma out 1act.( 9.21525097 sig in 10act.) RANK 12 NODE 3 --> 7.48469925 sigma out 1act.( 8.87609768 sig in 10act.) RANK 13 NODE 9 --> 5.05290508 sigma out 1act.( 7.27638149 sig in 10act.) RANK 14 NODE 5 --> 4.37352228 sigma out 1act.( 6.63828993 sig in 10act.) RANK 15 NODE 7 --> 0.254822135 sigma out 1act.( 2.89950848 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 57.971489 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.546296299 *** contribution from regularisation: 0.00284940912 *** contribution from error: -0.549145699 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50937.7616 -0.178876266 -38.2378006 EXIT FROM BFGS code NEW_X -50937.7616 -0.178876266 -38.2378006 ENTER BFGS code NEW_X -50937.7616 -0.178876266 -38.2378006 EXIT FROM BFGS code FG_LNSRCH 0. -0.185603887 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.546492934 *** contribution from regularisation: 0.0027906436 *** contribution from error: -0.549283564 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50956.095 -0.185603887 -20.0875416 EXIT FROM BFGS code NEW_X -50956.095 -0.185603887 -20.0875416 ENTER BFGS code NEW_X -50956.095 -0.185603887 -20.0875416 EXIT FROM BFGS code FG_LNSRCH 0. -0.21354647 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.546996057 *** contribution from regularisation: 0.00276351557 *** contribution from error: -0.549759567 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51003.0082 -0.21354647 -7.26365328 EXIT FROM BFGS code NEW_X -51003.0082 -0.21354647 -7.26365328 ENTER BFGS code NEW_X -51003.0082 -0.21354647 -7.26365328 EXIT FROM BFGS code FG_LNSRCH 0. -0.286095053 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.547760963 *** contribution from regularisation: 0.00278598 *** contribution from error: -0.550546944 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51074.3291 -0.286095053 81.4170761 EXIT FROM BFGS code NEW_X -51074.3291 -0.286095053 81.4170761 ENTER BFGS code NEW_X -51074.3291 -0.286095053 81.4170761 EXIT FROM BFGS code FG_LNSRCH 0. -0.375273854 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.548268676 *** contribution from regularisation: 0.00301241432 *** contribution from error: -0.551281095 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51121.6699 -0.375273854 -4.23037529 EXIT FROM BFGS code NEW_X -51121.6699 -0.375273854 -4.23037529 ENTER BFGS code NEW_X -51121.6699 -0.375273854 -4.23037529 EXIT FROM BFGS code FG_LNSRCH 0. -0.36734122 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.54881072 *** contribution from regularisation: 0.00289860833 *** contribution from error: -0.551709354 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51172.209 -0.36734122 -7.86691904 EXIT FROM BFGS code NEW_X -51172.209 -0.36734122 -7.86691904 ENTER BFGS code NEW_X -51172.209 -0.36734122 -7.86691904 EXIT FROM BFGS code FG_LNSRCH 0. -0.370943785 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.548989832 *** contribution from regularisation: 0.00294551183 *** contribution from error: -0.551935315 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51188.911 -0.370943785 9.06531906 EXIT FROM BFGS code NEW_X -51188.911 -0.370943785 9.06531906 ENTER BFGS code NEW_X -51188.911 -0.370943785 9.06531906 EXIT FROM BFGS code FG_LNSRCH 0. -0.38824439 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.549234211 *** contribution from regularisation: 0.00295775267 *** contribution from error: -0.552191973 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51211.6979 -0.38824439 13.116704 EXIT FROM BFGS code NEW_X -51211.6979 -0.38824439 13.116704 ENTER BFGS code NEW_X -51211.6979 -0.38824439 13.116704 EXIT FROM BFGS code FG_LNSRCH 0. -0.421192557 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.54959923 *** contribution from regularisation: 0.00303417561 *** contribution from error: -0.552633405 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51245.7293 -0.421192557 34.2752533 EXIT FROM BFGS code NEW_X -51245.7293 -0.421192557 34.2752533 ENTER BFGS code NEW_X -51245.7293 -0.421192557 34.2752533 EXIT FROM BFGS code FG_LNSRCH 0. -0.434976578 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.550045192 *** contribution from regularisation: 0.0030123496 *** contribution from error: -0.553057551 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51287.3135 -0.434976578 -31.2387733 EXIT FROM BFGS code NEW_X -51287.3135 -0.434976578 -31.2387733 ENTER BFGS code NEW_X -51287.3135 -0.434976578 -31.2387733 EXIT FROM BFGS code FG_LNSRCH 0. -0.453208923 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 49.6452637 sigma out 15 active outputs RANK 2 NODE 10 --> 47.3766098 sigma out 15 active outputs RANK 3 NODE 4 --> 42.0399055 sigma out 15 active outputs RANK 4 NODE 7 --> 33.4649506 sigma out 15 active outputs RANK 5 NODE 2 --> 32.1642914 sigma out 15 active outputs RANK 6 NODE 8 --> 31.0194225 sigma out 15 active outputs RANK 7 NODE 1 --> 27.9314137 sigma out 15 active outputs RANK 8 NODE 3 --> 23.9211597 sigma out 15 active outputs RANK 9 NODE 5 --> 20.5076637 sigma out 15 active outputs RANK 10 NODE 6 --> 15.9592695 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 52.0085297 sigma in 10act. ( 54.3794098 sig out 1act.) RANK 2 NODE 1 --> 50.5969124 sigma in 10act. ( 53.949337 sig out 1act.) RANK 3 NODE 4 --> 49.5244446 sigma in 10act. ( 52.3824539 sig out 1act.) RANK 4 NODE 13 --> 31.7934322 sigma in 10act. ( 29.7505627 sig out 1act.) RANK 5 NODE 14 --> 27.5136909 sigma in 10act. ( 29.4572964 sig out 1act.) RANK 6 NODE 12 --> 26.8513088 sigma in 10act. ( 31.9660397 sig out 1act.) RANK 7 NODE 2 --> 24.2077389 sigma in 10act. ( 18.82411 sig out 1act.) RANK 8 NODE 8 --> 18.6033936 sigma in 10act. ( 19.930584 sig out 1act.) RANK 9 NODE 15 --> 13.1396255 sigma in 10act. ( 12.9225235 sig out 1act.) RANK 10 NODE 10 --> 12.4433584 sigma in 10act. ( 11.3467569 sig out 1act.) RANK 11 NODE 9 --> 8.31774235 sigma in 10act. ( 7.56360769 sig out 1act.) RANK 12 NODE 5 --> 5.97869968 sigma in 10act. ( 5.48505592 sig out 1act.) RANK 13 NODE 7 --> 4.36226606 sigma in 10act. ( 4.82169962 sig out 1act.) RANK 14 NODE 11 --> 3.98467827 sigma in 10act. ( 0.911154032 sig out 1act.) RANK 15 NODE 3 --> 3.87281036 sigma in 10act. ( 2.65168452 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 54.3794098 sigma out 1act.( 52.0085297 sig in 10act.) RANK 2 NODE 1 --> 53.949337 sigma out 1act.( 50.5969124 sig in 10act.) RANK 3 NODE 4 --> 52.3824539 sigma out 1act.( 49.5244446 sig in 10act.) RANK 4 NODE 12 --> 31.9660397 sigma out 1act.( 26.8513088 sig in 10act.) RANK 5 NODE 13 --> 29.7505627 sigma out 1act.( 31.7934322 sig in 10act.) RANK 6 NODE 14 --> 29.4572964 sigma out 1act.( 27.5136909 sig in 10act.) RANK 7 NODE 8 --> 19.930584 sigma out 1act.( 18.6033936 sig in 10act.) RANK 8 NODE 2 --> 18.82411 sigma out 1act.( 24.2077389 sig in 10act.) RANK 9 NODE 15 --> 12.9225235 sigma out 1act.( 13.1396255 sig in 10act.) RANK 10 NODE 10 --> 11.3467569 sigma out 1act.( 12.4433584 sig in 10act.) RANK 11 NODE 9 --> 7.56360769 sigma out 1act.( 8.31774235 sig in 10act.) RANK 12 NODE 5 --> 5.48505592 sigma out 1act.( 5.97869968 sig in 10act.) RANK 13 NODE 7 --> 4.82169962 sigma out 1act.( 4.36226606 sig in 10act.) RANK 14 NODE 3 --> 2.65168452 sigma out 1act.( 3.87281036 sig in 10act.) RANK 15 NODE 11 --> 0.911154032 sigma out 1act.( 3.98467827 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 112.035484 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.550352931 *** contribution from regularisation: 0.00304831378 *** contribution from error: -0.553401232 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51316.0072 -0.453208923 62.22966 EXIT FROM BFGS code NEW_X -51316.0072 -0.453208923 62.22966 ENTER BFGS code NEW_X -51316.0072 -0.453208923 62.22966 EXIT FROM BFGS code FG_LNSRCH 0. -0.436188102 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.550535798 *** contribution from regularisation: 0.00294181891 *** contribution from error: -0.553477645 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51333.06 -0.436188102 15.2506351 EXIT FROM BFGS code NEW_X -51333.06 -0.436188102 15.2506351 ENTER BFGS code NEW_X -51333.06 -0.436188102 15.2506351 EXIT FROM BFGS code FG_LNSRCH 0. -0.417920172 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.550653458 *** contribution from regularisation: 0.00292514684 *** contribution from error: -0.553578615 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51344.027 -0.417920172 -12.412631 EXIT FROM BFGS code NEW_X -51344.027 -0.417920172 -12.412631 ENTER BFGS code NEW_X -51344.027 -0.417920172 -12.412631 EXIT FROM BFGS code FG_LNSRCH 0. -0.377371669 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.550920963 *** contribution from regularisation: 0.00286078709 *** contribution from error: -0.553781748 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51368.9722 -0.377371669 -45.8540955 EXIT FROM BFGS code NEW_X -51368.9722 -0.377371669 -45.8540955 ENTER BFGS code NEW_X -51368.9722 -0.377371669 -45.8540955 EXIT FROM BFGS code FG_LNSRCH 0. -0.316469759 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.551150858 *** contribution from regularisation: 0.00283256313 *** contribution from error: -0.55398345 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51390.4085 -0.316469759 -19.9341965 EXIT FROM BFGS code NEW_X -51390.4085 -0.316469759 -19.9341965 ENTER BFGS code NEW_X -51390.4085 -0.316469759 -19.9341965 EXIT FROM BFGS code FG_LNSRCH 0. -0.258310735 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.551019609 *** contribution from regularisation: 0.00288904109 *** contribution from error: -0.553908646 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51378.1682 -0.258310735 -35.0078545 EXIT FROM BFGS code FG_LNSRCH 0. -0.29512313 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.551151931 *** contribution from regularisation: 0.00296545099 *** contribution from error: -0.554117382 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51390.5101 -0.29512313 -25.7130508 EXIT FROM BFGS code NEW_X -51390.5101 -0.29512313 -25.7130508 ENTER BFGS code NEW_X -51390.5101 -0.29512313 -25.7130508 EXIT FROM BFGS code FG_LNSRCH 0. -0.285147965 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.55133009 *** contribution from regularisation: 0.00290708989 *** contribution from error: -0.554237187 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51407.1184 -0.285147965 5.13741064 EXIT FROM BFGS code NEW_X -51407.1184 -0.285147965 5.13741064 ENTER BFGS code NEW_X -51407.1184 -0.285147965 5.13741064 EXIT FROM BFGS code FG_LNSRCH 0. -0.277968377 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.551400244 *** contribution from regularisation: 0.00290595507 *** contribution from error: -0.554306209 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51413.6643 -0.277968377 6.86416197 EXIT FROM BFGS code NEW_X -51413.6643 -0.277968377 6.86416197 ENTER BFGS code NEW_X -51413.6643 -0.277968377 6.86416197 EXIT FROM BFGS code FG_LNSRCH 0. -0.263268977 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.551594019 *** contribution from regularisation: 0.00287496904 *** contribution from error: -0.554468989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51431.7318 -0.263268977 11.5150661 EXIT FROM BFGS code NEW_X -51431.7318 -0.263268977 11.5150661 ENTER BFGS code NEW_X -51431.7318 -0.263268977 11.5150661 EXIT FROM BFGS code FG_LNSRCH 0. -0.252511799 0. --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 55.1960373 sigma out 15 active outputs RANK 2 NODE 10 --> 44.3777237 sigma out 15 active outputs RANK 3 NODE 7 --> 38.5458565 sigma out 15 active outputs RANK 4 NODE 4 --> 35.0612259 sigma out 15 active outputs RANK 5 NODE 1 --> 34.3726845 sigma out 15 active outputs RANK 6 NODE 8 --> 30.4175606 sigma out 15 active outputs RANK 7 NODE 2 --> 26.0957642 sigma out 15 active outputs RANK 8 NODE 5 --> 22.4130516 sigma out 15 active outputs RANK 9 NODE 3 --> 20.3628941 sigma out 15 active outputs RANK 10 NODE 6 --> 17.2673206 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 47.1746597 sigma in 10act. ( 51.6351051 sig out 1act.) RANK 2 NODE 4 --> 46.8389511 sigma in 10act. ( 49.9311333 sig out 1act.) RANK 3 NODE 6 --> 46.5639458 sigma in 10act. ( 55.8845482 sig out 1act.) RANK 4 NODE 13 --> 42.2703018 sigma in 10act. ( 45.730442 sig out 1act.) RANK 5 NODE 12 --> 33.9647064 sigma in 10act. ( 37.4635849 sig out 1act.) RANK 6 NODE 14 --> 32.1814384 sigma in 10act. ( 34.7810326 sig out 1act.) RANK 7 NODE 2 --> 19.2283287 sigma in 10act. ( 17.8090668 sig out 1act.) RANK 8 NODE 8 --> 18.1328335 sigma in 10act. ( 19.3346481 sig out 1act.) RANK 9 NODE 9 --> 11.5857954 sigma in 10act. ( 11.9633493 sig out 1act.) RANK 10 NODE 10 --> 10.8826628 sigma in 10act. ( 11.2227087 sig out 1act.) RANK 11 NODE 15 --> 10.8112459 sigma in 10act. ( 10.0984106 sig out 1act.) RANK 12 NODE 7 --> 8.75713921 sigma in 10act. ( 10.4989853 sig out 1act.) RANK 13 NODE 5 --> 3.68848944 sigma in 10act. ( 3.1228075 sig out 1act.) RANK 14 NODE 3 --> 2.53578448 sigma in 10act. ( 1.80469871 sig out 1act.) RANK 15 NODE 11 --> 2.35603428 sigma in 10act. ( 0.518937647 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 55.8845482 sigma out 1act.( 46.5639458 sig in 10act.) RANK 2 NODE 1 --> 51.6351051 sigma out 1act.( 47.1746597 sig in 10act.) RANK 3 NODE 4 --> 49.9311333 sigma out 1act.( 46.8389511 sig in 10act.) RANK 4 NODE 13 --> 45.730442 sigma out 1act.( 42.2703018 sig in 10act.) RANK 5 NODE 12 --> 37.4635849 sigma out 1act.( 33.9647064 sig in 10act.) RANK 6 NODE 14 --> 34.7810326 sigma out 1act.( 32.1814384 sig in 10act.) RANK 7 NODE 8 --> 19.3346481 sigma out 1act.( 18.1328335 sig in 10act.) RANK 8 NODE 2 --> 17.8090668 sigma out 1act.( 19.2283287 sig in 10act.) RANK 9 NODE 9 --> 11.9633493 sigma out 1act.( 11.5857954 sig in 10act.) RANK 10 NODE 10 --> 11.2227087 sigma out 1act.( 10.8826628 sig in 10act.) RANK 11 NODE 7 --> 10.4989853 sigma out 1act.( 8.75713921 sig in 10act.) RANK 12 NODE 15 --> 10.0984106 sigma out 1act.( 10.8112459 sig in 10act.) RANK 13 NODE 5 --> 3.1228075 sigma out 1act.( 3.68848944 sig in 10act.) RANK 14 NODE 3 --> 1.80469871 sigma out 1act.( 2.53578448 sig in 10act.) RANK 15 NODE 11 --> 0.518937647 sigma out 1act.( 2.35603428 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 119.04808 sigma in 15 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.551383197 *** contribution from regularisation: 0.00286780228 *** contribution from error: -0.554251015 *********************************************** -----------------> Test sample Iteration No: 30 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51412.0738 -0.252511799 163.395218 EXIT FROM BFGS code FG_LNSRCH 0. -0.259908706 0. --------------------------------------------------- Iteration : 31 *********************************************** *** Learn Path 31 *** loss function: -0.551508367 *** contribution from regularisation: 0.00303902104 *** contribution from error: -0.554547369 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51423.7415 -0.259908706 57.4720612 EXIT FROM BFGS code FG_LNSRCH 0. -0.262769401 0. --------------------------------------------------- Iteration : 32 *********************************************** *** Learn Path 32 *** loss function: -0.551519036 *** contribution from regularisation: 0.0029705097 *** contribution from error: -0.554489553 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51424.7384 -0.262769401 18.2891026 EXIT FROM BFGS code FG_LNSRCH 0. -0.263248056 0. --------------------------------------------------- Iteration : 33 *********************************************** *** Learn Path 33 *** loss function: -0.551513791 *** contribution from regularisation: 0.00295596174 *** contribution from error: -0.554469764 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51424.2503 -0.263248056 11.7083483 EXIT FROM BFGS code FG_LNSRCH 0. -0.263268948 0. --------------------------------------------------- Iteration : 34 *********************************************** *** Learn Path 34 *** loss function: -0.551531971 *** contribution from regularisation: 0.00293703587 *** contribution from error: -0.554468989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51425.9447 -0.263268948 11.5431538 EXIT FROM BFGS code FG_LNSRCH 0. -0.263268977 0. --------------------------------------------------- Iteration : 35 *********************************************** *** Learn Path 35 *** loss function: -0.551521242 *** contribution from regularisation: 0.00294777052 *** contribution from error: -0.554468989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51424.9436 -0.263268977 11.4429121 EXIT FROM BFGS code FG_LNSRCH 0. -0.263268977 0. --------------------------------------------------- Iteration : 36 *********************************************** *** Learn Path 36 *** loss function: -0.551528692 *** contribution from regularisation: 0.00294032483 *** contribution from error: -0.554468989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51425.6379 -0.263268977 11.5240717 EXIT FROM BFGS code FG_LNSRCH 0. -0.263268977 0. --------------------------------------------------- Iteration : 37 *********************************************** *** Learn Path 37 *** loss function: -0.551517129 *** contribution from regularisation: 0.00295189023 *** contribution from error: -0.554468989 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51424.5595 -0.263268977 11.4787073 EXIT FROM BFGS code NEW_X -51424.5595 -0.263268977 11.4787073 ENTER BFGS code NEW_X -51424.5595 -0.263268977 11.4787073 EXIT FROM BFGS code CONVERGENC -51424.5595 -0.263268977 11.4787073 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 82.1447372 sigma out 15 active outputs RANK 2 NODE 10 --> 68.3558197 sigma out 15 active outputs RANK 3 NODE 7 --> 57.3700867 sigma out 15 active outputs RANK 4 NODE 4 --> 52.1081963 sigma out 15 active outputs RANK 5 NODE 1 --> 47.4110451 sigma out 15 active outputs RANK 6 NODE 8 --> 45.6419144 sigma out 15 active outputs RANK 7 NODE 2 --> 40.2097397 sigma out 15 active outputs RANK 8 NODE 5 --> 34.0074043 sigma out 15 active outputs RANK 9 NODE 3 --> 31.9245377 sigma out 15 active outputs RANK 10 NODE 6 --> 24.7092743 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 72.6996307 sigma in 10act. ( 74.7007141 sig out 1act.) RANK 2 NODE 6 --> 71.1755753 sigma in 10act. ( 84.4607849 sig out 1act.) RANK 3 NODE 1 --> 70.516098 sigma in 10act. ( 76.4375916 sig out 1act.) RANK 4 NODE 13 --> 60.8680115 sigma in 10act. ( 66.2353516 sig out 1act.) RANK 5 NODE 12 --> 49.2489281 sigma in 10act. ( 56.1939354 sig out 1act.) RANK 6 NODE 14 --> 45.5461502 sigma in 10act. ( 49.6300659 sig out 1act.) RANK 7 NODE 2 --> 29.4551544 sigma in 10act. ( 27.4243679 sig out 1act.) RANK 8 NODE 8 --> 28.0461559 sigma in 10act. ( 29.95611 sig out 1act.) RANK 9 NODE 10 --> 17.1483536 sigma in 10act. ( 17.4308414 sig out 1act.) RANK 10 NODE 9 --> 16.1363792 sigma in 10act. ( 16.763319 sig out 1act.) RANK 11 NODE 15 --> 15.7957516 sigma in 10act. ( 14.9379749 sig out 1act.) RANK 12 NODE 7 --> 11.4824495 sigma in 10act. ( 14.1628227 sig out 1act.) RANK 13 NODE 5 --> 5.02417946 sigma in 10act. ( 4.82085133 sig out 1act.) RANK 14 NODE 3 --> 3.16762877 sigma in 10act. ( 2.37102175 sig out 1act.) RANK 15 NODE 11 --> 2.66396809 sigma in 10act. ( 0.490252286 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 84.4607849 sigma out 1act.( 71.1755753 sig in 10act.) RANK 2 NODE 1 --> 76.4375916 sigma out 1act.( 70.516098 sig in 10act.) RANK 3 NODE 4 --> 74.7007141 sigma out 1act.( 72.6996307 sig in 10act.) RANK 4 NODE 13 --> 66.2353516 sigma out 1act.( 60.8680115 sig in 10act.) RANK 5 NODE 12 --> 56.1939354 sigma out 1act.( 49.2489281 sig in 10act.) RANK 6 NODE 14 --> 49.6300659 sigma out 1act.( 45.5461502 sig in 10act.) RANK 7 NODE 8 --> 29.95611 sigma out 1act.( 28.0461559 sig in 10act.) RANK 8 NODE 2 --> 27.4243679 sigma out 1act.( 29.4551544 sig in 10act.) RANK 9 NODE 10 --> 17.4308414 sigma out 1act.( 17.1483536 sig in 10act.) RANK 10 NODE 9 --> 16.763319 sigma out 1act.( 16.1363792 sig in 10act.) RANK 11 NODE 15 --> 14.9379749 sigma out 1act.( 15.7957516 sig in 10act.) RANK 12 NODE 7 --> 14.1628227 sigma out 1act.( 11.4824495 sig in 10act.) RANK 13 NODE 5 --> 4.82085133 sigma out 1act.( 5.02417946 sig in 10act.) RANK 14 NODE 3 --> 2.37102175 sigma out 1act.( 3.16762877 sig in 10act.) RANK 15 NODE 11 --> 0.490252286 sigma out 1act.( 2.66396809 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 176.781479 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.551534534 *** contribution from regularisation: 0.00293449126 *** contribution from error: -0.554469049 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28444 Closing output file done