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= 81614 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 = 22924 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 22924 Chosen entries: 22924 Signal fraction: 1 Background fraction: 0.390595 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 22924 Entries to split: 22924 Test with : 11462 Train with : 11462 ********************************************* * 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= 22924 for Signal Prepared event 0 for Signal with 22924 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 22924 events Prepared event 20000 for Signal with 22924 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= 58690 for Background Prepared event 0 for Background with 58690 events ====Entry 0 Variable Ht : 65.1543 Variable LepAPt : 20.8407 Variable LepBPt : 10.82 Variable MetSigLeptonsJets : 5.95247 Variable MetSpec : 33.4933 Variable SumEtLeptonsJets : 31.6607 Variable VSumJetLeptonsPt : 31.4507 Variable addEt : 65.1543 Variable dPhiLepSumMet : 3.01433 Variable dPhiLeptons : 0.243032 Variable dRLeptons : 0.763155 Variable lep1_E : 24.0883 Variable lep2_E : 10.9808 ===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 = 65.1543 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8411 LepAPt = 20.8407 LepBEt = 10.82 LepBPt = 10.82 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.4933 MetDelPhi = 2.93145 MetSig = 3.89076 MetSigLeptonsJets = 5.95247 MetSpec = 33.4933 Mjj = 0 MostCentralJetEta = 0 MtllMet = 67.7985 Njets = 0 SB = 0 SumEt = 74.1048 SumEtJets = 0 SumEtLeptonsJets = 31.6607 Target = 0 TrainWeight = 1.136 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.4507 addEt = 65.1543 dPhiLepSumMet = 3.01433 dPhiLeptons = 0.243032 dRLeptons = 0.763155 diltype = 110 dimass = 11.6846 event = 12144548 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 24.0883 lep2_E = 10.9808 rand = 0.999742 run = 272126 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 58690 events Prepared event 20000 for Background with 58690 events Prepared event 30000 for Background with 58690 events Prepared event 40000 for Background with 58690 events Prepared event 50000 for Background with 58690 events Warning: found 1971 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 81614 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 1971 negative weights. Signal fraction: 63.8789711 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 47.1748543 62.3116035 65.2070389 66.9108582 68.3101044 69.3782883 70.1242981 71.288063 72.0463562 73.0240326 73.7739105 74.3995972 75.0720825 75.7352905 76.4132996 77.1474152 77.7468567 78.4108582 78.9775772 79.767746 80.5769501 81.2581024 82.0001984 82.6578903 83.5211945 84.4789886 85.7074738 86.7005463 87.9891891 89.6519699 91.422348 93.3479156 95.4852905 97.2529297 99.4327164 101.317627 103.229904 105.240295 107.12738 108.649353 110.424431 112.17894 113.796738 116.135956 118.050446 120.086884 121.881531 123.63826 125.38665 127.019066 128.768768 130.397949 131.927979 133.538361 135.005219 136.754883 138.269089 139.824509 141.519943 142.952057 144.448364 145.933578 147.36554 148.748688 150.267395 151.710983 153.170059 154.539154 155.99147 157.536163 158.996628 160.486969 162.095398 163.75563 165.521164 167.317963 169.222321 171.284821 173.330597 175.742554 178.114899 180.384293 182.65625 185.393127 187.803207 190.943771 193.917343 197.376343 201.082428 204.905823 209.100082 213.977524 219.896164 226.048935 231.847137 240.112549 250.837372 265.1745 282.524567 313.798462 724.924744 ------------------------------ Transdef: Tab for variable 3 20.0001564 20.2721481 20.499897 20.7659492 21.0145264 21.2503204 21.56917 21.8012543 21.9799004 22.2835541 22.5251999 22.7123299 23.0105515 23.2450409 23.4710579 23.6875286 23.8682976 24.1090279 24.3897476 24.5837173 24.7972336 25.0172653 25.2667103 25.4759254 25.7803783 26.049675 26.2134094 26.4605026 26.7407379 27.0605316 27.3649883 27.6455288 27.876627 28.138567 28.4180126 28.7521172 29.0100346 29.2589054 29.578968 29.9301453 30.3164101 30.5878067 30.9167156 31.3038425 31.6540031 31.9872437 32.313446 32.7077713 33.0227013 33.3641777 33.7621918 34.10495 34.534626 34.8822632 35.2220268 35.5440826 35.9013748 36.253376 36.5897446 36.8932037 37.2484283 37.5944138 37.9304352 38.3001404 38.6581421 39.0266418 39.4482422 39.7824631 40.1536331 40.5435944 40.9092216 41.2519226 41.6581612 42.041584 42.4548645 42.8913498 43.2811813 43.7638092 44.2085114 44.6807861 45.154213 45.6376228 46.2075958 46.7285461 47.3098145 47.9415283 48.4973564 49.2278328 49.9928322 50.8043823 51.7267151 52.5916138 53.437191 54.657959 55.8739929 57.4474792 59.3282013 61.9171219 65.5032959 72.7139359 161.648132 ------------------------------ Transdef: Tab for variable 4 10.0006914 10.128067 10.298707 10.4586182 10.6067848 10.7211466 10.8696871 11.0106382 11.1404362 11.2964325 11.4312592 11.5693989 11.748394 11.9401608 12.0971699 12.2656984 12.4244566 12.5984373 12.7724209 12.9510708 13.1281891 13.3756294 13.5953503 13.8538656 14.0425663 14.2243462 14.4702473 14.6826687 14.8889847 15.1824875 15.3739319 15.5870361 15.8275566 15.9969282 16.2472992 16.5260715 16.7563591 17.0412369 17.3118057 17.590107 17.8755188 18.139698 18.4779053 18.7684441 18.9952621 19.2435036 19.5676937 19.9120522 20.1637154 20.4491119 20.6900101 20.9457283 21.2814903 21.600174 21.9189148 22.1827774 22.5269356 22.7648582 23.0841923 23.3726044 23.697113 23.997263 24.2952614 24.6501541 25.0275059 25.3617363 25.6501312 25.9556694 26.3007507 26.6016045 26.9554405 27.2955742 27.5952053 27.93363 28.2842216 28.6173668 28.9492016 29.3416214 29.7376595 30.0560303 30.3650455 30.7703762 31.1109619 31.5380058 31.9660568 32.3967819 32.7929459 33.2672272 33.7489395 34.2145386 34.7002487 35.2836685 35.8910408 36.562233 37.1606216 38.1718445 39.403038 40.9341621 43.4565163 47.7398491 71.4633484 ------------------------------ Transdef: Tab for variable 5 1.14757633 2.25971603 2.70424914 3.00864697 3.26731992 3.51460099 3.73977637 3.93065214 4.09897137 4.27855015 4.41851234 4.55832052 4.69665623 4.82127857 4.9348011 5.03709555 5.12612009 5.19179535 5.25724316 5.31241226 5.36916447 5.42791843 5.47927189 5.52500248 5.58275318 5.6299181 5.6817379 5.72948599 5.78640461 5.84708929 5.88454151 5.9315176 5.97626591 6.020648 6.0618391 6.09692097 6.14240551 6.19023228 6.24891949 6.28623772 6.3233242 6.37445116 6.41023636 6.43718624 6.48339653 6.53376579 6.57729435 6.62764454 6.67844963 6.72805595 6.77085686 6.8240633 6.87851238 6.93808746 6.98823452 7.04351997 7.08700085 7.14679432 7.19508123 7.25680733 7.31584454 7.38137245 7.43784189 7.50306797 7.56279278 7.63202477 7.68693352 7.75317097 7.81684828 7.87639523 7.94025993 7.99802017 8.06381226 8.12647438 8.19681931 8.26610184 8.32108021 8.38818359 8.45142174 8.52511311 8.58630753 8.64733219 8.71471405 8.78720379 8.85225487 8.93331909 8.99785805 9.08916092 9.18170166 9.272542 9.37713623 9.48797798 9.5975399 9.72682095 9.8774929 10.0665112 10.2852688 10.5436306 11.000618 11.6551685 16.8096924 ------------------------------ Transdef: Tab for variable 6 15.004632 17.3488045 19.3663673 21.3041153 23.3826675 25.1533508 26.6939545 28.3130531 29.5636292 30.4110985 31.2106895 31.9980278 32.6284714 33.1893463 33.7425003 34.2374725 34.6645203 35.0161095 35.3964005 35.7903633 36.2307053 36.5849457 36.9657326 37.2641144 37.633812 38.0089378 38.2677917 38.6654892 39.0732651 39.4330139 39.7649574 40.130249 40.5137482 40.8641281 41.278904 41.6761398 42.2512054 42.8963547 43.4949989 43.9942513 44.5137405 45.0241356 45.8142166 46.5791397 47.3851471 48.0775375 48.8329353 49.528862 50.3388824 51.1402588 52.0338554 52.8915939 53.7817383 54.5621071 55.4929085 56.3942757 57.3732491 58.2365341 59.1352386 60.0298538 60.8707428 61.7780914 62.5659943 63.4205513 64.2987442 65.0940704 65.9057465 66.737442 67.654686 68.496994 69.2806091 70.0920868 70.8835754 71.6683197 72.4372864 73.1353226 73.9569244 74.8055115 75.6229324 76.444046 77.3388062 78.0882416 78.9569244 79.7532959 80.6227646 81.5636673 82.6340637 83.7063599 84.8833542 86.3121948 87.6828461 89.1173019 91.2771912 93.6579285 96.2771988 99.4304657 103.505714 108.315704 115.618729 127.97467 320.548706 ------------------------------ Transdef: Tab for variable 7 30.1797848 32.3574066 33.3135185 33.9972 34.7577209 35.3125076 35.7932625 36.1791611 36.5722046 36.8836823 37.2069855 37.5185089 37.945755 38.3344917 38.6884422 39.038826 39.2740517 39.5280991 39.9238434 40.2634888 40.7227325 41.1436005 41.5301208 42.056488 42.5588531 43.1242714 43.786377 44.4906998 45.3485832 46.4516296 47.40728 48.4617157 49.5140991 50.5982132 51.6903992 52.8376083 53.8860397 55.0161285 56.1785355 57.1550903 58.2207947 59.2576981 60.3820877 61.4688416 62.3269501 63.3131638 64.2034607 65.2515411 66.2149353 67.0499496 67.9342804 68.7606506 69.6875458 70.6846313 71.4673309 72.4024506 73.2906265 74.0659103 74.8915634 75.7168579 76.643219 77.3965912 78.3827515 79.250885 80.3209381 81.3997955 82.5110245 83.7578049 85.1224747 86.4152908 87.8204498 89.2907791 90.749855 92.4848633 93.9073334 95.5935516 97.1737213 98.5666199 100.238846 102.115044 104.048279 106.048073 108.13015 110.51918 113.113472 115.224731 117.920349 120.876907 123.557693 126.683434 130.461487 135.003281 139.757233 145.124741 151.032959 158.338654 167.376526 178.957794 192.931702 219.223785 421.842377 ------------------------------ Transdef: Tab for variable 8 2.83339143 21.9439735 27.1177483 29.8467064 31.3848972 32.1175003 32.8184891 33.2588654 33.7349892 34.3197746 34.7831612 35.0195923 35.3572044 35.7576752 36.0973969 36.3566666 36.7226639 37.0269737 37.3146286 37.6253128 37.9424896 38.3122482 38.6070099 38.8919945 39.1614609 39.5000153 39.7861252 40.1208267 40.3879967 40.7509003 41.1992722 41.5737915 41.9490662 42.3998413 42.8632278 43.4453812 44.0172768 44.6011887 45.2997131 46.0185394 46.7057266 47.395092 48.1548538 48.8255844 49.4439926 50.194149 50.9964676 51.7570343 52.5057182 53.2616653 54.0802193 54.828125 55.5561218 56.3037148 57.1472015 57.9268112 58.6589851 59.5017471 60.2640038 61.0532532 61.7749901 62.5729675 63.2071991 63.9031639 64.687027 65.4266815 66.1263885 66.8654938 67.5353241 68.307785 69.0110779 69.6827698 70.4738159 71.0876617 71.8160019 72.4783783 73.1207657 73.7145996 74.5177307 75.2244797 76.0656738 76.6952515 77.6122208 78.4212646 79.3283081 80.2953796 81.4383392 82.613205 83.8797455 85.0716629 86.5921478 88.290329 90.3244934 92.7720184 95.212265 98.2352905 102.362686 108.752563 115.445114 128.392487 364.944763 ------------------------------ Transdef: Tab for variable 9 47.1748543 59.6799202 63.8306541 66.0667877 67.3916855 68.5131454 69.4229202 70.1453094 71.1508942 72.0039902 72.8813171 73.5933075 74.1681519 74.825882 75.4098282 75.9968033 76.6137848 77.2263947 77.7468567 78.3889313 78.8976212 79.5776596 80.1596527 80.8469315 81.5022736 82.0701675 82.6335449 83.3895264 84.0429535 84.9363556 85.894989 86.7253036 87.8224487 88.9795761 90.1632843 91.6575623 92.8668976 94.373848 96.0097656 97.4841461 99.1802902 100.679131 102.29097 103.701385 105.391434 106.908142 108.367538 109.828796 111.419022 112.944153 114.360779 116.012207 117.418671 118.90976 120.28009 121.711823 122.998077 124.600319 125.875473 127.22731 128.548157 129.797775 131.229492 132.482086 133.800507 134.939575 136.25766 137.494232 138.710236 139.882446 141.167038 142.413544 143.622849 144.657898 145.756287 146.921631 147.938416 149.164703 150.303619 151.400681 152.342758 153.453522 154.550446 155.550644 156.682816 157.784637 158.937119 160.222534 161.420242 162.775085 164.214172 165.85759 167.602417 169.370193 171.646637 173.894287 177.320129 181.577179 187.932251 205.333435 360.164764 ------------------------------ Transdef: Tab for variable 10 0.00602381537 1.0905025 1.38363028 1.60903287 1.76981008 1.89683199 1.9924264 2.07199073 2.14340997 2.2156558 2.28233814 2.32582426 2.37546778 2.41557932 2.4559474 2.48970366 2.51886678 2.54746675 2.57211637 2.59877586 2.62127113 2.64318657 2.66585803 2.68490863 2.70318794 2.72038031 2.73870325 2.75698471 2.77339649 2.79040813 2.80474448 2.81819201 2.82812977 2.84244967 2.85463595 2.86589551 2.87632704 2.88569355 2.89676189 2.9036293 2.91310406 2.9237895 2.93239832 2.94023418 2.94873643 2.95648098 2.96450448 2.97033453 2.97523355 2.98193598 2.98686481 2.99236798 2.99783134 3.00186634 3.0059371 3.00977373 3.01425719 3.0182507 3.02285862 3.02674389 3.03042507 3.03347611 3.03673506 3.04047441 3.04480982 3.04853797 3.05111122 3.05487418 3.05800509 3.06118035 3.06436348 3.06716371 3.07043171 3.0733881 3.07630157 3.07904148 3.08207893 3.08482552 3.08744669 3.09018707 3.09287882 3.09535789 3.09776354 3.10016942 3.10285473 3.10546398 3.10804224 3.11085105 3.11375141 3.11640453 3.11897683 3.12140632 3.123528 3.12569785 3.12829161 3.12985969 3.13185215 3.1342566 3.13642669 3.13901329 3.14159131 ------------------------------ Transdef: Tab for variable 11 3.24249268E-05 0.00509929657 0.0100027546 0.0141862929 0.0192211214 0.0250685234 0.0312759578 0.0368676186 0.0423586369 0.0491311513 0.0561803579 0.0617690273 0.0677870512 0.0748699903 0.0805287361 0.0870616138 0.0940603688 0.100090876 0.105821967 0.11245656 0.118100584 0.124267697 0.130684614 0.136708379 0.143212557 0.148787856 0.154995173 0.159315407 0.165757656 0.171001151 0.176489115 0.181650341 0.186368942 0.190550148 0.195228279 0.199160814 0.203512818 0.207921684 0.212177634 0.216192722 0.220520854 0.224412888 0.228790671 0.232545614 0.236328959 0.241369128 0.245847374 0.250838697 0.254685104 0.259032488 0.263375491 0.268660188 0.272953302 0.277449548 0.28118062 0.28597331 0.290703833 0.294887662 0.298898637 0.304760724 0.308569431 0.313610792 0.318888545 0.323832691 0.328891039 0.334519327 0.340424538 0.345468819 0.351909995 0.356705427 0.362324387 0.368543744 0.375005484 0.382722139 0.388989627 0.396498442 0.403718382 0.412187219 0.418866634 0.425214052 0.433916092 0.441466093 0.449340701 0.4580369 0.467946172 0.477588207 0.489728302 0.501579881 0.511772752 0.525919676 0.538699627 0.553267539 0.569528103 0.585924149 0.606031179 0.626292229 0.651641846 0.688257635 0.733527482 0.8043859 1.11914444 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.20638743 0.211134762 0.216885656 0.222202361 0.22713773 0.231316775 0.235372633 0.239616752 0.244500726 0.247893944 0.252388895 0.256439984 0.261419415 0.266129225 0.271345526 0.275604427 0.280584365 0.285280883 0.289148211 0.294158131 0.298341542 0.302961409 0.30790332 0.312057436 0.315258265 0.319265395 0.323103368 0.327837288 0.332249433 0.335974336 0.339577526 0.343910575 0.347715795 0.352299005 0.357023299 0.36034885 0.364694715 0.368406564 0.372656375 0.376703084 0.381720245 0.385887742 0.390012264 0.394319236 0.399030864 0.402858168 0.406772256 0.411338151 0.415307105 0.419358641 0.423624814 0.426637828 0.430859476 0.434948653 0.438957512 0.443419456 0.447303355 0.45189172 0.455360174 0.46002844 0.465385854 0.469504833 0.474078029 0.48027122 0.485299379 0.490231812 0.495993644 0.501685619 0.506824136 0.51227349 0.517857134 0.523364902 0.529815435 0.537038207 0.543637991 0.552502811 0.559043884 0.566392004 0.573956132 0.58136189 0.588354349 0.596923113 0.605540633 0.615335464 0.625410676 0.631557047 0.642306447 0.653186917 0.664001346 0.676353931 0.694419384 0.711104512 0.729891896 0.746999383 0.764277518 0.787242353 0.81442678 0.839249492 0.889484704 1.12622738 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.2572746 22.0116482 22.5034027 23.2089081 23.6490936 24.085865 24.5888252 25.0659485 25.5439606 25.8747063 26.3337326 26.8706055 27.280838 27.6431923 28.0516701 28.4368858 28.8270073 29.1563931 29.5211258 29.9108448 30.2850552 30.5644264 30.8171425 31.2123108 31.6136742 31.9376488 32.2071724 32.5602341 32.8733902 33.1989059 33.6271515 33.9604378 34.298111 34.6641769 35.0451355 35.4039001 35.7649117 36.1184578 36.4468842 36.7610626 37.1784973 37.5590134 37.951004 38.3073044 38.673542 39.0616875 39.4805527 39.8109131 40.250351 40.6858482 41.0524826 41.4264526 41.8538551 42.2588882 42.6873207 43.0784683 43.5187607 43.9256668 44.3069458 44.6822357 45.0973892 45.4817505 45.9604645 46.4794464 46.891037 47.417881 47.8699799 48.3420982 48.7629471 49.2785568 49.7627296 50.3290329 50.8749847 51.4142265 52.0263824 52.6343536 53.1962013 53.7136765 54.3551788 55.0178833 55.654377 56.3834457 57.1454315 57.9795189 58.8518372 59.7872238 60.7454567 61.9858398 63.0907516 64.2821045 65.7586823 67.2746124 69.2921906 71.5020447 73.9998779 76.6075592 80.2593079 85.5285034 94.8589783 183.272873 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7585201 11.1119556 11.3778419 11.7351513 12.0852737 12.4017801 12.658371 12.9791059 13.266202 13.5855541 13.9333181 14.2350998 14.5306873 14.7672691 15.049799 15.329134 15.5930014 15.9400845 16.2354355 16.4785061 16.8268299 17.15728 17.4476376 17.7259102 18.0180225 18.3188934 18.5795803 18.9490318 19.1657333 19.515892 19.8370399 20.1213188 20.4629536 20.7730865 21.1112576 21.4642944 21.8004112 22.12603 22.5327301 22.8811874 23.1773338 23.3990822 23.7272549 24.0474377 24.3325443 24.6112347 24.933569 25.2528877 25.5673218 25.945694 26.263876 26.5854073 26.9145775 27.2650127 27.5310898 27.8438187 28.1074734 28.4000397 28.7584457 29.064436 29.3631382 29.6808929 30.045269 30.3793125 30.7182961 31.0500221 31.3643761 31.6942291 31.9867306 32.3537407 32.6993484 33.0354462 33.3644714 33.8089561 34.167263 34.6217346 34.9918213 35.4396515 35.9091797 36.3753967 36.8258476 37.2442474 37.8019562 38.4304543 38.9547653 39.5779037 40.2313461 40.9307098 41.6000595 42.5000114 43.3323975 44.3441544 45.4996223 46.9047012 48.6846771 50.6379547 53.013195 56.0433197 62.6032333 119.069878 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 68.4 56.2 56.6 31.2 48.8 65.9 56.9 66.3 -26.8 -11.8 -31.7 38.9 43.3 2 68.4 100.0 71.1 65.2 36.4 65.7 94.5 74.2 91.5 -43.4 -18.2 -42.2 52.3 50.5 3 56.2 71.1 100.0 55.3 13.0 35.5 73.9 55.0 75.1 -18.0 -21.9 -48.2 78.2 41.9 4 56.6 65.2 55.3 100.0 19.1 38.1 65.6 53.8 70.4 -13.2 -23.4 -52.2 42.0 84.3 5 31.2 36.4 13.0 19.1 100.0 85.4 8.6 63.6 58.8 25.2 -4.1 -11.2 5.2 13.2 6 48.8 65.7 35.5 38.1 85.4 100.0 44.0 81.9 78.1 -3.5 -9.6 -23.7 22.8 28.3 7 65.9 94.5 73.9 65.6 8.6 44.0 100.0 62.7 79.6 -52.8 -17.8 -42.0 55.6 51.5 8 56.9 74.2 55.0 53.8 63.6 81.9 62.7 100.0 84.2 -7.5 -16.0 -35.3 39.2 41.8 9 66.3 91.5 75.1 70.4 58.8 78.1 79.6 84.2 100.0 -18.3 -20.6 -47.0 55.6 55.3 10 -26.8 -43.4 -18.0 -13.2 25.2 -3.5 -52.8 -7.5 -18.3 100.0 3.5 7.4 -12.4 -8.9 11 -11.8 -18.2 -21.9 -23.4 -4.1 -9.6 -17.8 -16.0 -20.6 3.5 100.0 49.6 -16.3 -21.0 12 -31.7 -42.2 -48.2 -52.2 -11.2 -23.7 -42.0 -35.3 -47.0 7.4 49.6 100.0 -31.0 -36.2 13 38.9 52.3 78.2 42.0 5.2 22.8 55.6 39.2 55.6 -12.4 -16.3 -31.0 100.0 52.9 14 43.3 50.5 41.9 84.3 13.2 28.3 51.5 41.8 55.3 -8.9 -21.0 -36.2 52.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 177.779291 TOTAL CORRELATION OF ALL VARIABLES 74.1358203 ROUND 1: MAX CORR ( 74.1354882) AFTER KILLING INPUT VARIABLE 14 CONTR 0.22189966 ROUND 2: MAX CORR ( 74.1299265) AFTER KILLING INPUT VARIABLE 2 CONTR 0.908083502 ROUND 3: MAX CORR ( 74.1246004) AFTER KILLING INPUT VARIABLE 6 CONTR 0.88859652 ROUND 4: MAX CORR ( 74.1093758) AFTER KILLING INPUT VARIABLE 11 CONTR 1.50226601 ROUND 5: MAX CORR ( 74.0871318) AFTER KILLING INPUT VARIABLE 8 CONTR 1.81562588 ROUND 6: MAX CORR ( 73.9622146) AFTER KILLING INPUT VARIABLE 12 CONTR 4.30045352 ROUND 7: MAX CORR ( 73.8626417) AFTER KILLING INPUT VARIABLE 13 CONTR 3.83658035 ROUND 8: MAX CORR ( 73.5768057) AFTER KILLING INPUT VARIABLE 10 CONTR 6.49180255 ROUND 9: MAX CORR ( 72.303975) AFTER KILLING INPUT VARIABLE 9 CONTR 13.6265012 ROUND 10: MAX CORR ( 71.9435549) AFTER KILLING INPUT VARIABLE 3 CONTR 7.21038949 ROUND 11: MAX CORR ( 70.6876017) AFTER KILLING INPUT VARIABLE 4 CONTR 13.3842465 ROUND 12: MAX CORR ( 65.8667204) AFTER KILLING INPUT VARIABLE 5 CONTR 25.657595 LAST REMAINING VARIABLE: 7 total correlation to target: 74.1358203 % total significance: 99.2765516 sigma correlations of single variables to target: variable 2: 68.3596499 % , in sigma: 91.5415826 variable 3: 56.2362231 % , in sigma: 75.3068933 variable 4: 56.6196665 % , in sigma: 75.820369 variable 5: 31.2420935 % , in sigma: 41.8368246 variable 6: 48.765032 % , in sigma: 65.3020928 variable 7: 65.8667204 % , in sigma: 88.2032577 variable 8: 56.8658342 % , in sigma: 76.1500163 variable 9: 66.290949 % , in sigma: 88.7713496 variable 10: -26.824351 % , in sigma: 35.9209497 variable 11: -11.7657617 % , in sigma: 15.7557338 variable 12: -31.6524865 % , in sigma: 42.3863889 variable 13: 38.8796698 % , in sigma: 52.0644343 variable 14: 43.2656093 % , in sigma: 57.9377213 variables sorted by significance: 1 most relevant variable 7 corr 65.8667221 , in sigma: 88.2032601 2 most relevant variable 5 corr 25.6575947 , in sigma: 34.3585262 3 most relevant variable 4 corr 13.3842468 , in sigma: 17.923075 4 most relevant variable 3 corr 7.21038961 , in sigma: 9.6555567 5 most relevant variable 9 corr 13.6265011 , in sigma: 18.2474819 6 most relevant variable 10 corr 6.49180269 , in sigma: 8.6932846 7 most relevant variable 13 corr 3.83658028 , in sigma: 5.13763061 8 most relevant variable 12 corr 4.30045366 , in sigma: 5.75881144 9 most relevant variable 8 corr 1.81562591 , in sigma: 2.43133587 10 most relevant variable 11 corr 1.50226605 , in sigma: 2.0117103 11 most relevant variable 6 corr 0.888596535 , in sigma: 1.1899349 12 most relevant variable 2 corr 0.908083498 , in sigma: 1.21603023 13 most relevant variable 14 corr 0.221899658 , in sigma: 0.297149648 global correlations between input variables: variable 2: 99.2123935 % variable 3: 93.6890843 % variable 4: 93.6355539 % variable 5: 95.3082712 % variable 6: 94.5839925 % variable 7: 98.9017058 % variable 8: 90.3904088 % variable 9: 98.6434478 % variable 10: 72.2828172 % variable 11: 51.0507662 % variable 12: 69.1949652 % variable 13: 87.7349886 % variable 14: 91.2175747 % significance loss when removing single variables: variable 2: corr = 0.903455506 % , sigma = 1.2098328 variable 3: corr = 13.629041 % , sigma = 18.2508831 variable 4: corr = 11.7976129 % , sigma = 15.7983863 variable 5: corr = 16.7179351 % , sigma = 22.3872743 variable 6: corr = 1.05244261 % , sigma = 1.40934399 variable 7: corr = 8.43492084 % , sigma = 11.2953475 variable 8: corr = 2.23977592 % , sigma = 2.99932245 variable 9: corr = 11.2090846 % , sigma = 15.0102779 variable 10: corr = 6.58849824 % , sigma = 8.82277127 variable 11: corr = 1.51742502 % , sigma = 2.03200993 variable 12: corr = 3.23924993 % , sigma = 4.33773528 variable 13: corr = 3.19618238 % , sigma = 4.28006277 variable 14: corr = 0.22189966 % , sigma = 0.29714965 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 17.4881916 sigma out 15 active outputs RANK 2 NODE 8 --> 17.1896839 sigma out 15 active outputs RANK 3 NODE 2 --> 15.6677275 sigma out 15 active outputs RANK 4 NODE 7 --> 14.9309874 sigma out 15 active outputs RANK 5 NODE 4 --> 14.3067636 sigma out 15 active outputs RANK 6 NODE 9 --> 13.8924322 sigma out 15 active outputs RANK 7 NODE 6 --> 11.3624277 sigma out 15 active outputs RANK 8 NODE 5 --> 11.2315788 sigma out 15 active outputs RANK 9 NODE 3 --> 10.6718559 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 18.0067616 sigma in 9act. ( 18.4081764 sig out 1act.) RANK 2 NODE 8 --> 17.7451038 sigma in 9act. ( 19.5548306 sig out 1act.) RANK 3 NODE 5 --> 16.7763023 sigma in 9act. ( 17.3182659 sig out 1act.) RANK 4 NODE 15 --> 12.2159376 sigma in 9act. ( 13.675889 sig out 1act.) RANK 5 NODE 7 --> 12.1049891 sigma in 9act. ( 15.3625154 sig out 1act.) RANK 6 NODE 14 --> 11.5520592 sigma in 9act. ( 10.8937321 sig out 1act.) RANK 7 NODE 2 --> 11.2771616 sigma in 9act. ( 13.0772276 sig out 1act.) RANK 8 NODE 4 --> 8.57201958 sigma in 9act. ( 10.4841032 sig out 1act.) RANK 9 NODE 13 --> 8.55780411 sigma in 9act. ( 7.37182856 sig out 1act.) RANK 10 NODE 3 --> 7.42436218 sigma in 9act. ( 7.96151638 sig out 1act.) RANK 11 NODE 9 --> 7.35587311 sigma in 9act. ( 7.03463697 sig out 1act.) RANK 12 NODE 6 --> 7.03128767 sigma in 9act. ( 7.73146582 sig out 1act.) RANK 13 NODE 1 --> 5.05315781 sigma in 9act. ( 3.9242022 sig out 1act.) RANK 14 NODE 10 --> 4.63219452 sigma in 9act. ( 4.71456051 sig out 1act.) RANK 15 NODE 12 --> 2.68737459 sigma in 9act. ( 3.6461401 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 19.5548306 sigma out 1act.( 17.7451038 sig in 9act.) RANK 2 NODE 11 --> 18.4081764 sigma out 1act.( 18.0067616 sig in 9act.) RANK 3 NODE 5 --> 17.3182659 sigma out 1act.( 16.7763023 sig in 9act.) RANK 4 NODE 7 --> 15.3625154 sigma out 1act.( 12.1049891 sig in 9act.) RANK 5 NODE 15 --> 13.675889 sigma out 1act.( 12.2159376 sig in 9act.) RANK 6 NODE 2 --> 13.0772276 sigma out 1act.( 11.2771616 sig in 9act.) RANK 7 NODE 14 --> 10.8937321 sigma out 1act.( 11.5520592 sig in 9act.) RANK 8 NODE 4 --> 10.4841032 sigma out 1act.( 8.57201958 sig in 9act.) RANK 9 NODE 3 --> 7.96151638 sigma out 1act.( 7.42436218 sig in 9act.) RANK 10 NODE 6 --> 7.73146582 sigma out 1act.( 7.03128767 sig in 9act.) RANK 11 NODE 13 --> 7.37182856 sigma out 1act.( 8.55780411 sig in 9act.) RANK 12 NODE 9 --> 7.03463697 sigma out 1act.( 7.35587311 sig in 9act.) RANK 13 NODE 10 --> 4.71456051 sigma out 1act.( 4.63219452 sig in 9act.) RANK 14 NODE 1 --> 3.9242022 sigma out 1act.( 5.05315781 sig in 9act.) RANK 15 NODE 12 --> 3.6461401 sigma out 1act.( 2.68737459 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 46.0622101 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 18.6760101 sigma out 15 active outputs RANK 2 NODE 1 --> 18.3408737 sigma out 15 active outputs RANK 3 NODE 8 --> 17.9290791 sigma out 15 active outputs RANK 4 NODE 7 --> 17.1193428 sigma out 15 active outputs RANK 5 NODE 4 --> 15.6378717 sigma out 15 active outputs RANK 6 NODE 9 --> 14.585722 sigma out 15 active outputs RANK 7 NODE 5 --> 12.3678474 sigma out 15 active outputs RANK 8 NODE 6 --> 11.9487352 sigma out 15 active outputs RANK 9 NODE 3 --> 11.1119356 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 18.7197971 sigma in 9act. ( 18.1502838 sig out 1act.) RANK 2 NODE 8 --> 17.1759338 sigma in 9act. ( 17.1772404 sig out 1act.) RANK 3 NODE 7 --> 16.7010231 sigma in 9act. ( 15.4891968 sig out 1act.) RANK 4 NODE 5 --> 15.1347246 sigma in 9act. ( 15.1618271 sig out 1act.) RANK 5 NODE 15 --> 13.7424889 sigma in 9act. ( 13.5497122 sig out 1act.) RANK 6 NODE 2 --> 12.3545055 sigma in 9act. ( 12.4990311 sig out 1act.) RANK 7 NODE 4 --> 11.6057148 sigma in 9act. ( 10.413269 sig out 1act.) RANK 8 NODE 14 --> 10.48703 sigma in 9act. ( 9.77390003 sig out 1act.) RANK 9 NODE 13 --> 8.90451908 sigma in 9act. ( 6.31422997 sig out 1act.) RANK 10 NODE 3 --> 8.52237988 sigma in 9act. ( 7.13591957 sig out 1act.) RANK 11 NODE 1 --> 8.33801174 sigma in 9act. ( 3.77842474 sig out 1act.) RANK 12 NODE 6 --> 8.12582493 sigma in 9act. ( 8.43527889 sig out 1act.) RANK 13 NODE 12 --> 7.74287128 sigma in 9act. ( 3.84047818 sig out 1act.) RANK 14 NODE 10 --> 6.92094421 sigma in 9act. ( 4.19843197 sig out 1act.) RANK 15 NODE 9 --> 6.42572212 sigma in 9act. ( 5.52598763 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 18.1502838 sigma out 1act.( 18.7197971 sig in 9act.) RANK 2 NODE 8 --> 17.1772404 sigma out 1act.( 17.1759338 sig in 9act.) RANK 3 NODE 7 --> 15.4891968 sigma out 1act.( 16.7010231 sig in 9act.) RANK 4 NODE 5 --> 15.1618271 sigma out 1act.( 15.1347246 sig in 9act.) RANK 5 NODE 15 --> 13.5497122 sigma out 1act.( 13.7424889 sig in 9act.) RANK 6 NODE 2 --> 12.4990311 sigma out 1act.( 12.3545055 sig in 9act.) RANK 7 NODE 4 --> 10.413269 sigma out 1act.( 11.6057148 sig in 9act.) RANK 8 NODE 14 --> 9.77390003 sigma out 1act.( 10.48703 sig in 9act.) RANK 9 NODE 6 --> 8.43527889 sigma out 1act.( 8.12582493 sig in 9act.) RANK 10 NODE 3 --> 7.13591957 sigma out 1act.( 8.52237988 sig in 9act.) RANK 11 NODE 13 --> 6.31422997 sigma out 1act.( 8.90451908 sig in 9act.) RANK 12 NODE 9 --> 5.52598763 sigma out 1act.( 6.42572212 sig in 9act.) RANK 13 NODE 10 --> 4.19843197 sigma out 1act.( 6.92094421 sig in 9act.) RANK 14 NODE 12 --> 3.84047818 sigma out 1act.( 7.74287128 sig in 9act.) RANK 15 NODE 1 --> 3.77842474 sigma out 1act.( 8.33801174 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.3267403 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.404816866 *** contribution from regularisation: 0.00734574487 *** contribution from error: -0.412162602 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.46122396 *** contribution from regularisation: 0.00520010944 *** contribution from error: -0.466424078 *********************************************** -----------------> Test sample ENTER BFGS code START -18825.2471 -0.0294609256 -0.0087281419 EXIT FROM BFGS code FG_START 0. -0.0294609256 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.490672916 *** contribution from regularisation: 0.00428784778 *** contribution from error: -0.494960755 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -20022.8899 -0.0294609256 -169.587906 EXIT FROM BFGS code FG_LNSRCH 0. -0.0844665468 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.543080091 *** contribution from regularisation: 0.00565901306 *** contribution from error: -0.548739076 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22161.4691 -0.0844665468 -79.7738037 EXIT FROM BFGS code NEW_X -22161.4691 -0.0844665468 -79.7738037 ENTER BFGS code NEW_X -22161.4691 -0.0844665468 -79.7738037 EXIT FROM BFGS code FG_LNSRCH 0. -0.129579321 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.551187038 *** contribution from regularisation: 0.00632058829 *** contribution from error: -0.557507634 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22492.2888 -0.129579321 -29.7634506 EXIT FROM BFGS code NEW_X -22492.2888 -0.129579321 -29.7634506 ENTER BFGS code NEW_X -22492.2888 -0.129579321 -29.7634506 EXIT FROM BFGS code FG_LNSRCH 0. -0.151259616 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.552762747 *** contribution from regularisation: 0.00581099279 *** contribution from error: -0.558573723 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22556.5886 -0.151259616 4.13619471 EXIT FROM BFGS code NEW_X -22556.5886 -0.151259616 4.13619471 ENTER BFGS code NEW_X -22556.5886 -0.151259616 4.13619471 EXIT FROM BFGS code FG_LNSRCH 0. -0.155472383 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.553595304 *** contribution from regularisation: 0.00538761448 *** contribution from error: -0.558982909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22590.5625 -0.155472383 4.88305283 EXIT FROM BFGS code NEW_X -22590.5625 -0.155472383 4.88305283 ENTER BFGS code NEW_X -22590.5625 -0.155472383 4.88305283 EXIT FROM BFGS code FG_LNSRCH 0. -0.158838138 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.553935528 *** contribution from regularisation: 0.00524242502 *** contribution from error: -0.559177935 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22604.4464 -0.158838138 10.7311029 EXIT FROM BFGS code NEW_X -22604.4464 -0.158838138 10.7311029 ENTER BFGS code NEW_X -22604.4464 -0.158838138 10.7311029 EXIT FROM BFGS code FG_LNSRCH 0. -0.164205372 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.555464208 *** contribution from regularisation: 0.00418040622 *** contribution from error: -0.559644639 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22666.8271 -0.164205372 12.7701197 EXIT FROM BFGS code NEW_X -22666.8271 -0.164205372 12.7701197 ENTER BFGS code NEW_X -22666.8271 -0.164205372 12.7701197 EXIT FROM BFGS code FG_LNSRCH 0. -0.166787744 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 26.9364014 sigma out 15 active outputs RANK 2 NODE 5 --> 24.1563053 sigma out 15 active outputs RANK 3 NODE 3 --> 18.0747166 sigma out 15 active outputs RANK 4 NODE 1 --> 16.350565 sigma out 15 active outputs RANK 5 NODE 9 --> 16.2504902 sigma out 15 active outputs RANK 6 NODE 4 --> 13.6576576 sigma out 15 active outputs RANK 7 NODE 8 --> 11.7550974 sigma out 15 active outputs RANK 8 NODE 7 --> 11.7295494 sigma out 15 active outputs RANK 9 NODE 6 --> 8.41270638 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 24.9989471 sigma in 9act. ( 25.1705627 sig out 1act.) RANK 2 NODE 4 --> 23.466135 sigma in 9act. ( 24.6524372 sig out 1act.) RANK 3 NODE 11 --> 19.2449474 sigma in 9act. ( 18.8781147 sig out 1act.) RANK 4 NODE 12 --> 18.9071293 sigma in 9act. ( 17.7255611 sig out 1act.) RANK 5 NODE 15 --> 18.1238976 sigma in 9act. ( 18.9958172 sig out 1act.) RANK 6 NODE 6 --> 15.3415422 sigma in 9act. ( 12.1412783 sig out 1act.) RANK 7 NODE 2 --> 9.02364063 sigma in 9act. ( 6.28144789 sig out 1act.) RANK 8 NODE 1 --> 6.39737368 sigma in 9act. ( 5.57754755 sig out 1act.) RANK 9 NODE 10 --> 5.81404066 sigma in 9act. ( 4.72041416 sig out 1act.) RANK 10 NODE 14 --> 5.4803791 sigma in 9act. ( 5.13827324 sig out 1act.) RANK 11 NODE 3 --> 3.77361393 sigma in 9act. ( 2.61547947 sig out 1act.) RANK 12 NODE 9 --> 3.22825575 sigma in 9act. ( 2.71608377 sig out 1act.) RANK 13 NODE 5 --> 3.22707963 sigma in 9act. ( 1.66749644 sig out 1act.) RANK 14 NODE 8 --> 3.09612751 sigma in 9act. ( 2.76078773 sig out 1act.) RANK 15 NODE 13 --> 1.46172225 sigma in 9act. ( 0.3264018 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 25.1705627 sigma out 1act.( 24.9989471 sig in 9act.) RANK 2 NODE 4 --> 24.6524372 sigma out 1act.( 23.466135 sig in 9act.) RANK 3 NODE 15 --> 18.9958172 sigma out 1act.( 18.1238976 sig in 9act.) RANK 4 NODE 11 --> 18.8781147 sigma out 1act.( 19.2449474 sig in 9act.) RANK 5 NODE 12 --> 17.7255611 sigma out 1act.( 18.9071293 sig in 9act.) RANK 6 NODE 6 --> 12.1412783 sigma out 1act.( 15.3415422 sig in 9act.) RANK 7 NODE 2 --> 6.28144789 sigma out 1act.( 9.02364063 sig in 9act.) RANK 8 NODE 1 --> 5.57754755 sigma out 1act.( 6.39737368 sig in 9act.) RANK 9 NODE 14 --> 5.13827324 sigma out 1act.( 5.4803791 sig in 9act.) RANK 10 NODE 10 --> 4.72041416 sigma out 1act.( 5.81404066 sig in 9act.) RANK 11 NODE 8 --> 2.76078773 sigma out 1act.( 3.09612751 sig in 9act.) RANK 12 NODE 9 --> 2.71608377 sigma out 1act.( 3.22825575 sig in 9act.) RANK 13 NODE 3 --> 2.61547947 sigma out 1act.( 3.77361393 sig in 9act.) RANK 14 NODE 5 --> 1.66749644 sigma out 1act.( 3.22707963 sig in 9act.) RANK 15 NODE 13 --> 0.3264018 sigma out 1act.( 1.46172225 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 50.6370125 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.554159999 *** contribution from regularisation: 0.00503402576 *** contribution from error: -0.559194028 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -22613.6066 -0.166787744 -52.3991165 EXIT FROM BFGS code FG_LNSRCH 0. -0.165140182 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.554785788 *** contribution from regularisation: 0.00535481749 *** contribution from error: -0.56014061 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22639.1432 -0.165140182 -7.5282135 EXIT FROM BFGS code FG_LNSRCH 0. -0.164356694 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.553838909 *** contribution from regularisation: 0.0059189382 *** contribution from error: -0.559757829 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22600.5045 -0.164356694 9.57736778 EXIT FROM BFGS code FG_LNSRCH 0. -0.164209157 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.554386675 *** contribution from regularisation: 0.00526121166 *** contribution from error: -0.559647858 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22622.8567 -0.164209157 12.3155031 EXIT FROM BFGS code FG_LNSRCH 0. -0.164205372 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.554267406 *** contribution from regularisation: 0.00537720555 *** contribution from error: -0.559644639 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22617.9893 -0.164205372 12.3304195 EXIT FROM BFGS code FG_LNSRCH 0. -0.164205372 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.554311037 *** contribution from regularisation: 0.00533354422 *** contribution from error: -0.55964458 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22619.771 -0.164205372 12.2826729 EXIT FROM BFGS code FG_LNSRCH 0. -0.164205372 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.554329813 *** contribution from regularisation: 0.00531479623 *** contribution from error: -0.55964458 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22620.5361 -0.164205372 12.2791338 EXIT FROM BFGS code FG_LNSRCH 0. -0.164205372 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.554377198 *** contribution from regularisation: 0.00526738493 *** contribution from error: -0.55964458 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22622.4708 -0.164205372 12.275898 EXIT FROM BFGS code NEW_X -22622.4708 -0.164205372 12.275898 ENTER BFGS code NEW_X -22622.4708 -0.164205372 12.275898 EXIT FROM BFGS code CONVERGENC -22622.4708 -0.164205372 12.275898 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 42.510273 sigma out 15 active outputs RANK 2 NODE 1 --> 28.4904633 sigma out 15 active outputs RANK 3 NODE 7 --> 21.626339 sigma out 15 active outputs RANK 4 NODE 5 --> 20.5189877 sigma out 15 active outputs RANK 5 NODE 3 --> 17.5033913 sigma out 15 active outputs RANK 6 NODE 9 --> 16.3543243 sigma out 15 active outputs RANK 7 NODE 4 --> 14.7501879 sigma out 15 active outputs RANK 8 NODE 8 --> 12.8743553 sigma out 15 active outputs RANK 9 NODE 6 --> 7.90187025 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 32.9873772 sigma in 9act. ( 30.1632919 sig out 1act.) RANK 2 NODE 12 --> 26.5897026 sigma in 9act. ( 19.4554443 sig out 1act.) RANK 3 NODE 11 --> 25.568285 sigma in 9act. ( 20.8459949 sig out 1act.) RANK 4 NODE 4 --> 24.0678902 sigma in 9act. ( 22.8660488 sig out 1act.) RANK 5 NODE 15 --> 20.1777229 sigma in 9act. ( 17.1087627 sig out 1act.) RANK 6 NODE 6 --> 18.8949833 sigma in 9act. ( 17.2657471 sig out 1act.) RANK 7 NODE 2 --> 14.3360023 sigma in 9act. ( 12.3941984 sig out 1act.) RANK 8 NODE 1 --> 12.1297989 sigma in 9act. ( 10.3681431 sig out 1act.) RANK 9 NODE 10 --> 10.1226339 sigma in 9act. ( 8.69297791 sig out 1act.) RANK 10 NODE 8 --> 9.19133377 sigma in 9act. ( 8.06879425 sig out 1act.) RANK 11 NODE 3 --> 7.40858555 sigma in 9act. ( 6.16902161 sig out 1act.) RANK 12 NODE 14 --> 7.31856012 sigma in 9act. ( 6.54247856 sig out 1act.) RANK 13 NODE 5 --> 6.51892233 sigma in 9act. ( 5.75101042 sig out 1act.) RANK 14 NODE 9 --> 5.17261791 sigma in 9act. ( 4.1142149 sig out 1act.) RANK 15 NODE 13 --> 4.18373775 sigma in 9act. ( 0.752510428 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 30.1632919 sigma out 1act.( 32.9873772 sig in 9act.) RANK 2 NODE 4 --> 22.8660488 sigma out 1act.( 24.0678902 sig in 9act.) RANK 3 NODE 11 --> 20.8459949 sigma out 1act.( 25.568285 sig in 9act.) RANK 4 NODE 12 --> 19.4554443 sigma out 1act.( 26.5897026 sig in 9act.) RANK 5 NODE 6 --> 17.2657471 sigma out 1act.( 18.8949833 sig in 9act.) RANK 6 NODE 15 --> 17.1087627 sigma out 1act.( 20.1777229 sig in 9act.) RANK 7 NODE 2 --> 12.3941984 sigma out 1act.( 14.3360023 sig in 9act.) RANK 8 NODE 1 --> 10.3681431 sigma out 1act.( 12.1297989 sig in 9act.) RANK 9 NODE 10 --> 8.69297791 sigma out 1act.( 10.1226339 sig in 9act.) RANK 10 NODE 8 --> 8.06879425 sigma out 1act.( 9.19133377 sig in 9act.) RANK 11 NODE 14 --> 6.54247856 sigma out 1act.( 7.31856012 sig in 9act.) RANK 12 NODE 3 --> 6.16902161 sigma out 1act.( 7.40858555 sig in 9act.) RANK 13 NODE 5 --> 5.75101042 sigma out 1act.( 6.51892233 sig in 9act.) RANK 14 NODE 9 --> 4.1142149 sigma out 1act.( 5.17261791 sig in 9act.) RANK 15 NODE 13 --> 0.752510428 sigma out 1act.( 4.18373775 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 58.0498199 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.554323196 *** contribution from regularisation: 0.00532140117 *** contribution from error: -0.55964458 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done