NNInput NNInputs_195.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= 173215 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 = 26280 nbkg = 146935 Bkg Entries: 146935 Sig Entries: 26280 Chosen entries: 26280 Signal fraction: 1 Background fraction: 0.178855 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 146935 Actual Signal Entries: 26280 Entries to split: 26280 Test with : 13140 Train with : 13140 ********************************************* * 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= 26280 for Signal Prepared event 0 for Signal with 26280 events ====Entry 0 Variable Ht : 225.901 Variable LepAPt : 63.638 Variable LepBPt : 23.389 Variable MetSigLeptonsJets : 9.51092 Variable MetSpec : 104.705 Variable SumEtLeptonsJets : 121.196 Variable VSumJetLeptonsPt : 96.1224 Variable addEt : 191.732 Variable dPhiLepSumMet : 2.687 Variable dPhiLeptons : 0.342211 Variable dRLeptons : 0.346978 Variable lep1_E : 71.8454 Variable lep2_E : 25.7459 ===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 = 2195 Ht = 225.901 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 63.6382 LepAPt = 63.638 LepBEt = 23.389 LepBPt = 23.389 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 104.705 MetDelPhi = 2.13998 MetSig = 7.54777 MetSigLeptonsJets = 9.51092 MetSpec = 104.705 Mjj = 0 MostCentralJetEta = 2.45448 MtllMet = 197.429 Njets = 1 SB = 0 SumEt = 192.44 SumEtJets = 0 SumEtLeptonsJets = 121.196 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 96.1224 addEt = 191.732 dPhiLepSumMet = 2.687 dPhiLeptons = 0.342211 dRLeptons = 0.346978 diltype = 47 dimass = 13.3241 event = 561 jet1_Et = 34.1693 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 71.8454 lep2_E = 25.7459 rand = 0.999742 run = 228576 weight = 1.92787e-06 ===Show End Prepared event 10000 for Signal with 26280 events Prepared event 20000 for Signal with 26280 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 146935 for Background Prepared event 0 for Background with 146935 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.138809 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 146935 events Prepared event 20000 for Background with 146935 events Prepared event 30000 for Background with 146935 events Prepared event 40000 for Background with 146935 events Prepared event 50000 for Background with 146935 events Prepared event 60000 for Background with 146935 events Prepared event 70000 for Background with 146935 events Prepared event 80000 for Background with 146935 events Prepared event 90000 for Background with 146935 events Prepared event 100000 for Background with 146935 events Prepared event 110000 for Background with 146935 events Prepared event 120000 for Background with 146935 events Prepared event 130000 for Background with 146935 events Prepared event 140000 for Background with 146935 events Warning: found 4578 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 173215 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 4578 negative weights. Signal fraction: 62.9000587 % ------------------------------ 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 48.6484184 61.7978706 64.1896667 66.3534698 67.7657394 68.8669891 69.9395523 70.7077942 71.4538879 72.3212433 73.191803 73.9215546 74.5320129 75.3506775 75.860733 76.5874023 77.1634369 77.8021088 78.4637299 78.9771881 79.6624756 80.4255219 81.1269073 81.9555664 82.6134186 83.377655 84.2602615 85.3484955 86.4126434 87.5598602 88.7019348 90.3474884 91.9212494 93.5863266 95.376358 96.9153595 98.5578232 100.07605 101.557922 103.380127 104.942001 106.443909 108.207062 109.996811 111.592834 113.249237 114.988655 116.722992 118.634361 120.399536 122.088112 123.601944 125.201935 127.095848 128.670563 130.191345 131.711731 133.533264 135.029785 136.581238 138.202179 139.851028 141.373093 143.031006 144.464142 146.297256 148.02066 149.710602 151.849579 153.77977 155.640503 157.631531 159.322968 161.257126 163.173019 165.257782 167.125885 169.09465 171.506149 173.809479 176.171341 179.119446 181.642151 184.486008 187.729919 190.667725 194.244751 198.017654 201.720764 206.101868 210.627701 216.15596 221.554077 227.980743 235.167206 244.055786 256.143555 270.06012 287.216827 328.281067 811.421753 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3080025 20.6041451 20.8988533 21.1677151 21.3967304 21.5894127 21.8190384 22.022438 22.2662487 22.4712772 22.7129326 22.9491692 23.1638355 23.3620796 23.5762329 23.7542877 23.9580956 24.1867638 24.4063377 24.597414 24.8261185 25.0589905 25.3025208 25.4824333 25.6992035 25.9116821 26.1329613 26.3259373 26.5434189 26.8091354 27.0644703 27.2654457 27.5281029 27.7861938 28.0288239 28.2844028 28.5447788 28.8300323 29.1048717 29.3399811 29.6628914 29.9228878 30.1823387 30.5174255 30.7689095 31.0942707 31.4402905 31.7473412 32.0788651 32.4098091 32.7607269 33.1319351 33.5115356 33.8818665 34.2439766 34.6394424 35.0082169 35.4077377 35.8166351 36.2346497 36.6463547 37.0903625 37.5472107 37.9963112 38.4452362 38.9699402 39.4775009 40.0028458 40.4985123 41.1293488 41.6928864 42.2974548 42.8925095 43.5332718 44.1232491 44.8021317 45.4795303 46.147644 46.7771034 47.5247993 48.3352814 49.2884827 50.2180328 51.12677 52.0647049 52.9670181 54.0120697 55.1933327 56.4577675 57.7980652 59.1491699 60.8519745 62.6728897 64.4894562 66.3219757 68.8130798 72.0697708 76.4555588 83.4227371 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.0913734 10.2267466 10.3539639 10.4531403 10.5669842 10.6927929 10.8237009 10.9404221 11.0520391 11.1918182 11.335659 11.4739952 11.6248837 11.7535744 11.9072981 12.0394173 12.1966095 12.3449659 12.5064964 12.6643982 12.8389311 12.9775906 13.1662283 13.3506289 13.4882002 13.6465912 13.81178 13.9572992 14.1545467 14.3124113 14.4779644 14.6516161 14.8390732 15.0455074 15.2359562 15.4219398 15.5923634 15.8201733 16.0252304 16.2685165 16.4716873 16.6921024 16.8814983 17.097599 17.3067036 17.5637188 17.7905636 18.0161705 18.2637177 18.4515419 18.6619816 18.890152 19.1101418 19.343483 19.5736084 19.8011322 20.0205383 20.2070637 20.3962708 20.5978584 20.8221703 21.0108185 21.2063904 21.4459877 21.664669 21.8629608 22.0563183 22.2940178 22.5209312 22.7388153 22.9661102 23.1832008 23.4095039 23.6680107 23.9130745 24.1515121 24.4070015 24.7164669 25.0220528 25.2958355 25.5770035 25.9099407 26.2343674 26.5919609 26.9919167 27.3971901 27.7974987 28.246439 28.6917286 29.1771984 29.7096558 30.2885265 30.8586121 31.5890598 32.44841 33.6884651 35.0762329 37.0032043 40.8182144 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.2881602 2.58328438 3.00828624 3.26959801 3.51869965 3.73206735 3.94268799 4.09484673 4.20495224 4.33091259 4.44347715 4.5564003 4.6444273 4.73653507 4.82382107 4.92006493 4.997087 5.07759476 5.15498495 5.22049427 5.29721689 5.36013222 5.42087555 5.46259403 5.51499653 5.56341839 5.61332893 5.65969658 5.71090698 5.76816845 5.81753063 5.86002016 5.91061926 5.96088028 6.01002598 6.05408859 6.09649944 6.14750957 6.20020008 6.24506569 6.28256226 6.32273769 6.36390972 6.40607738 6.45164967 6.49570513 6.5356226 6.58971596 6.63720131 6.68196297 6.72987175 6.78067684 6.82961941 6.87885809 6.92978764 6.98646402 7.04055691 7.10313177 7.15929604 7.21307755 7.26834869 7.32473183 7.38567162 7.44669771 7.50944328 7.5722332 7.62857866 7.69244766 7.76253653 7.81806183 7.8745079 7.93758678 7.99877548 8.06225777 8.12239647 8.18541527 8.25569344 8.32200813 8.39047241 8.45894814 8.52812386 8.59774971 8.67824173 8.75357056 8.83058548 8.91104698 8.99207306 9.08191872 9.18969536 9.29729652 9.40802574 9.5180521 9.65280342 9.7758007 9.94891644 10.1566753 10.3897858 10.7056618 11.1262245 11.8833971 17.5202084 ------------------------------ Transdef: Tab for variable 6 15.01721 20.4864922 25.055954 25.9347458 26.7928581 27.5986919 28.4873924 29.3325043 29.9760818 30.7140713 31.2616959 31.9043064 32.4115486 32.96418 33.490097 33.9103508 34.4087219 34.7762299 35.1789856 35.6544914 36.0871391 36.4145775 36.7781906 37.1321373 37.4573441 37.8193436 38.1016541 38.5397453 38.9247284 39.3420143 39.6448135 40.0298538 40.4438248 40.825016 41.2253494 41.6587105 42.0919037 42.523468 42.9859314 43.4405251 43.917881 44.5177078 45.0925255 45.7874146 46.4339218 47.1178513 47.8449631 48.6186829 49.2883453 50.0732613 50.6598282 51.4138184 52.3142509 53.0930328 53.8881798 54.7201767 55.5783463 56.3306885 56.9742889 57.7494888 58.5137558 59.4476776 60.2836761 61.0378342 61.9921417 62.8327789 63.7038879 64.5176468 65.3721008 66.2628937 67.0750275 67.8948975 68.8633423 69.6567383 70.5554657 71.5072098 72.4034653 73.247467 74.3329239 75.3636093 76.4136505 77.3998489 78.5628357 79.8120117 80.9241791 82.123764 83.3512421 84.8058014 86.3300171 87.9695206 89.8653488 91.7505493 93.8292007 96.1002045 99.0983124 102.302277 106.627579 112.663284 120.932404 133.794525 240.051132 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.4678421 33.441555 34.1161079 34.8030243 35.3207932 35.7711258 36.1720352 36.5716133 36.9746017 37.354393 37.6601944 37.9694214 38.2913284 38.6223145 38.9295578 39.2068787 39.4840889 39.7667122 40.1578522 40.5313492 40.8903885 41.2197342 41.5927734 41.9663391 42.3233986 42.9221268 43.5228653 44.221489 44.8685799 45.4590797 46.3369064 47.1777649 48.1341057 49.0743332 50.2248535 51.2106895 52.3966408 53.3975029 54.4622574 55.5766487 56.4733353 57.4135475 58.2978592 59.164032 60.1666489 61.0769196 61.9895554 62.9290848 63.7510719 64.6398773 65.592804 66.5526047 67.4809189 68.325058 69.1946411 70.2804794 71.2393341 72.14608 73.1389923 74.1691132 75.1867523 76.2409363 77.2210846 78.3000031 79.3901215 80.4831085 81.7953033 82.9434662 84.1429596 85.5397491 86.8125153 88.1959686 89.6516266 91.1623535 92.701889 94.2174225 95.8798599 97.5483017 99.5828094 101.639633 103.687027 105.781601 108.084419 110.187584 112.588531 115.107918 118.011032 121.46109 124.997681 128.897217 133.259491 137.847137 143.159744 148.741669 155.776642 165.737457 177.95401 193.860977 226.296295 533.67572 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.1595116 28.7186356 30.7780991 31.7402515 32.5355148 33.0697289 33.5925674 34.0874557 34.5188446 34.9153366 35.2287521 35.6035538 35.9327469 36.2217674 36.5083389 36.837822 37.138176 37.3914566 37.6764107 37.9527817 38.2168999 38.5173492 38.7286453 39.0249634 39.27948 39.565712 39.9184875 40.1863937 40.4525452 40.7844467 41.1221924 41.4664993 41.8232155 42.1734772 42.6875381 43.1811829 43.6944008 44.2340317 44.7613182 45.2684517 45.8740845 46.4990273 47.1893158 47.9333572 48.6437531 49.2576065 49.9155045 50.6545525 51.3276138 52.1576385 52.9383812 53.5901489 54.2443771 55.0876503 55.8226166 56.5623627 57.2666626 58.031662 58.7246933 59.484684 60.2298508 61.000061 61.7768211 62.5409698 63.1998138 64.0059662 64.8338165 65.5334015 66.2145844 66.9493103 67.6979294 68.5203934 69.315033 70.1925278 71.10466 71.8772583 72.8104858 73.7783203 74.7538147 75.6441803 76.6223297 77.6776123 78.6164246 79.7698517 80.9584732 82.3050232 83.6524658 85.2801361 86.7245331 88.4346466 90.3419647 92.5738297 94.8088531 97.6972351 101.139572 105.865974 111.268883 120.138229 134.484863 289.322327 ------------------------------ Transdef: Tab for variable 9 48.6484184 61.4187546 63.6172905 65.5410309 67.0141449 68.1226654 69.0642548 70.0068054 70.6846924 71.2906342 72.0001984 72.8000336 73.4871445 74.0515213 74.6957321 75.3520966 75.789917 76.4201508 76.9828186 77.460556 78.016983 78.588829 78.9882355 79.5986481 80.148613 80.8511353 81.4583435 82.1552734 82.6794739 83.3340073 83.9448853 84.8222733 85.696991 86.6047897 87.5468979 88.539444 89.6542053 90.9351654 92.1138763 93.4741898 94.9588623 96.3770447 97.7266693 99.0512848 100.272079 101.677559 103.120003 104.626633 106.012482 107.436523 108.626266 110.145058 111.66713 113.031082 114.422165 115.885857 117.018387 118.418671 119.776443 121.21682 122.509758 123.901505 125.195312 126.538467 127.80928 129.046936 130.246338 131.503571 132.740234 134.099091 135.451172 136.621231 137.847046 139.161163 140.307434 141.632004 143.127487 144.403488 145.762177 147.327759 148.713242 150.150085 151.873962 153.313904 155.087845 156.670013 158.603455 160.276138 162.262543 164.440277 166.704651 168.881592 171.684784 174.279388 177.175232 180.801453 185.548523 190.35466 196.917526 211.709625 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.1153512 1.38825929 1.58374357 1.73559189 1.85671377 1.96308625 2.05224991 2.12132645 2.18280816 2.2365799 2.28260612 2.32688427 2.36617637 2.40682411 2.44416928 2.47978377 2.5091579 2.53765774 2.56553221 2.59073305 2.61665106 2.6393981 2.66343641 2.6856463 2.7058568 2.72355509 2.74103069 2.75991774 2.77691555 2.79109764 2.80593157 2.81886578 2.82991767 2.84081244 2.85298181 2.86361694 2.8732276 2.88279319 2.89278984 2.90137649 2.90953112 2.91716576 2.92524385 2.93321419 2.94083881 2.94763303 2.95448709 2.96184826 2.96875191 2.97496986 2.97988939 2.98590064 2.9902277 2.99519515 3.00008202 3.00522232 3.00990486 3.01463747 3.01928449 3.02352142 3.02807212 3.03212619 3.03610754 3.03979778 3.04388857 3.04755592 3.05103827 3.05450296 3.05812383 3.06114531 3.06416178 3.06732917 3.07075119 3.07372808 3.07650852 3.07952404 3.08294582 3.08588696 3.08841372 3.09152508 3.09436107 3.09660625 3.0993886 3.10183334 3.10455799 3.1072855 3.11032295 3.11317611 3.11537051 3.11767697 3.12013102 3.12253714 3.1249783 3.12727976 3.12919998 3.13161063 3.13393211 3.13662982 3.13908339 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00523799658 0.0102926204 0.0160182565 0.0230719745 0.0291473866 0.0366153121 0.0431790352 0.0503619462 0.0577363558 0.0642275661 0.0714002252 0.078286536 0.0861010551 0.0928192139 0.0982999802 0.105400741 0.11203289 0.119106054 0.12537016 0.131979465 0.13864857 0.145181656 0.152147532 0.157877445 0.164303303 0.170916423 0.17758584 0.182578623 0.188086689 0.193799317 0.199168205 0.203849286 0.208564073 0.212819338 0.217678428 0.222756863 0.227216959 0.231412321 0.236712337 0.242110729 0.246712148 0.251939952 0.256559849 0.261186421 0.266087443 0.27083838 0.27562952 0.280673236 0.286138058 0.291571617 0.296348155 0.301740646 0.306672752 0.311590433 0.317480087 0.322498322 0.328405201 0.333463669 0.339336514 0.344923317 0.350344986 0.355450511 0.360562563 0.366825163 0.373014033 0.378399372 0.385195255 0.391162276 0.397439986 0.404519558 0.411896735 0.417832136 0.42484957 0.431422174 0.438570023 0.4449476 0.452242702 0.45982337 0.466956615 0.474484563 0.483388692 0.492620945 0.502193272 0.511750937 0.521786213 0.531551123 0.542567134 0.552130103 0.565211356 0.577879667 0.592206061 0.609161735 0.628489316 0.647504091 0.666515648 0.695667863 0.723375261 0.770657778 0.833852649 1.12525487 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.208502248 0.21660243 0.223025829 0.230057284 0.236567795 0.243883684 0.250198305 0.256280124 0.262140185 0.267439067 0.273279458 0.278242588 0.283885539 0.289513767 0.294911623 0.300094008 0.305762291 0.311205864 0.316672444 0.321769387 0.327329636 0.331859231 0.337384462 0.342878044 0.347893 0.351978004 0.357986003 0.36289078 0.367659569 0.373561263 0.378816366 0.384353399 0.389333546 0.394988686 0.399311095 0.404052436 0.408616781 0.412171006 0.415606171 0.419394255 0.422976315 0.426462948 0.430041999 0.434472382 0.438175261 0.44205755 0.445934653 0.449963629 0.453894556 0.458021581 0.461487412 0.465396196 0.469380915 0.473733723 0.478103101 0.481998593 0.486099064 0.49049899 0.49530676 0.49936831 0.503833115 0.509542108 0.513996601 0.518945873 0.523164809 0.527825356 0.533193827 0.538912416 0.544412494 0.549924493 0.555604398 0.560573101 0.567005634 0.572454691 0.578683853 0.58534658 0.59163481 0.597841144 0.604967952 0.613479674 0.621859074 0.629881978 0.638983965 0.648802578 0.659675717 0.667373955 0.676029265 0.686783612 0.699944735 0.713384271 0.726477742 0.739186168 0.753837228 0.768481851 0.785111189 0.807773769 0.831487298 0.860043287 0.90122366 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.4819336 22.1849918 22.8526955 23.4768734 24.0484276 24.5698185 25.0679703 25.5817604 25.9422264 26.3786201 26.8324585 27.2064648 27.5989857 28.0059147 28.4122734 28.7874451 29.1942635 29.5347958 29.9022789 30.2863312 30.5846443 30.9389954 31.3091011 31.6681747 32.0199318 32.3940277 32.7087479 33.1388855 33.5173874 33.9116478 34.3682022 34.7278175 35.1208878 35.4713974 35.9127922 36.2273483 36.6123314 37.0147247 37.4491158 37.842247 38.2992935 38.6919479 39.1631851 39.6182175 40.0700531 40.4961052 40.9703865 41.4060783 41.9087181 42.4748268 42.9372635 43.4458618 43.9756813 44.5080719 45.0178604 45.5337448 46.0737381 46.577713 47.150425 47.6907349 48.2162056 48.7685127 49.3808594 49.9817314 50.6628838 51.3468094 52.0413971 52.6577072 53.3319817 54.1216049 54.7730942 55.4243851 56.1848564 57.1282387 57.8715286 58.6352234 59.4093475 60.3461609 61.2773361 62.194313 63.1186523 64.1942902 65.3259354 66.3562088 67.4453888 68.7042389 69.9855194 71.2946625 72.9230576 74.3121796 75.9324188 77.8362656 80.1407166 82.3965454 85.7177505 89.7129364 93.7815704 99.1204834 111.64711 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0089645 10.723918 11.1628628 11.497015 11.7634239 12.1977997 12.4775009 12.8224983 13.1331215 13.4232578 13.6755829 13.9256563 14.2140884 14.517664 14.8252316 15.0911121 15.3598957 15.599369 15.9104137 16.1800003 16.4448967 16.7622948 17.0000248 17.2652512 17.5260086 17.7499771 18.0157814 18.2508621 18.4964485 18.7521706 19.0103951 19.1997185 19.4529762 19.7260208 19.9864407 20.2571449 20.4955063 20.7425728 20.9790955 21.2137299 21.4532566 21.6583099 21.8868103 22.1154861 22.3631897 22.5844917 22.82724 23.0716801 23.2674179 23.4927635 23.7166405 23.9636459 24.217598 24.4440804 24.7024136 24.9502411 25.20467 25.459465 25.6832581 25.926487 26.1925812 26.4335175 26.6884422 26.9810715 27.2485046 27.5511723 27.8055534 28.0658569 28.388813 28.6531601 28.9651775 29.3016872 29.6138268 29.9457283 30.2683411 30.6057281 30.9907265 31.3542709 31.7184696 32.0983582 32.5135651 32.9748306 33.4350662 33.890873 34.4113464 35.0153198 35.6175919 36.3022499 37.0201569 37.685379 38.4141159 39.269062 40.3251495 41.5734749 43.0268745 44.652298 47.0068626 49.4915848 53.0133286 59.2531128 115.518631 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 66.7 52.0 52.1 31.9 50.1 64.4 55.9 64.6 -26.8 -13.7 -30.5 22.2 21.8 2 66.7 100.0 70.1 56.6 41.4 71.8 94.7 77.1 92.3 -41.7 -21.2 -42.5 41.2 28.4 3 52.0 70.1 100.0 42.2 21.7 44.0 71.2 60.2 77.5 -12.3 -24.5 -48.6 71.0 19.6 4 52.1 56.6 42.2 100.0 14.4 33.6 58.5 46.4 59.1 -13.6 -24.8 -50.2 21.1 69.4 5 31.9 41.4 21.7 14.4 100.0 85.9 14.5 63.1 62.0 24.2 -7.3 -12.4 8.2 1.5 6 50.1 71.8 44.0 33.6 85.9 100.0 51.3 81.8 82.3 -4.4 -13.7 -26.4 22.7 13.2 7 64.4 94.7 71.2 58.5 14.5 51.3 100.0 67.9 80.9 -51.4 -20.3 -42.2 43.4 31.6 8 55.9 77.1 60.2 46.4 63.1 81.8 67.9 100.0 85.1 -8.7 -20.6 -37.4 35.6 22.8 9 64.6 92.3 77.5 59.1 62.0 82.3 80.9 85.1 100.0 -17.0 -23.8 -47.4 48.1 30.4 10 -26.8 -41.7 -12.3 -13.6 24.2 -4.4 -51.4 -8.7 -17.0 100.0 3.0 6.7 -4.2 -5.8 11 -13.7 -21.2 -24.5 -24.8 -7.3 -13.7 -20.3 -20.6 -23.8 3.0 100.0 53.6 -11.1 -12.2 12 -30.5 -42.5 -48.6 -50.2 -12.4 -26.4 -42.2 -37.4 -47.4 6.7 53.6 100.0 -24.8 -23.5 13 22.2 41.2 71.0 21.1 8.2 22.7 43.4 35.6 48.1 -4.2 -11.1 -24.8 100.0 43.0 14 21.8 28.4 19.6 69.4 1.5 13.2 31.6 22.8 30.4 -5.8 -12.2 -23.5 43.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 166.304511 TOTAL CORRELATION OF ALL VARIABLES 72.7646544 ROUND 1: MAX CORR ( 72.7575525) AFTER KILLING INPUT VARIABLE 8 CONTR 1.01660053 ROUND 2: MAX CORR ( 72.7492784) AFTER KILLING INPUT VARIABLE 6 CONTR 1.09724129 ROUND 3: MAX CORR ( 72.7327277) AFTER KILLING INPUT VARIABLE 11 CONTR 1.55171961 ROUND 4: MAX CORR ( 72.7157863) AFTER KILLING INPUT VARIABLE 2 CONTR 1.56974493 ROUND 5: MAX CORR ( 72.5612388) AFTER KILLING INPUT VARIABLE 14 CONTR 4.73837504 ROUND 6: MAX CORR ( 72.3066449) AFTER KILLING INPUT VARIABLE 12 CONTR 6.07309529 ROUND 7: MAX CORR ( 71.9680045) AFTER KILLING INPUT VARIABLE 10 CONTR 6.98979363 ROUND 8: MAX CORR ( 71.384349) AFTER KILLING INPUT VARIABLE 9 CONTR 9.14704319 ROUND 9: MAX CORR ( 70.4423083) AFTER KILLING INPUT VARIABLE 3 CONTR 11.558827 ROUND 10: MAX CORR ( 70.1902645) AFTER KILLING INPUT VARIABLE 13 CONTR 5.95361792 ROUND 11: MAX CORR ( 68.3196214) AFTER KILLING INPUT VARIABLE 4 CONTR 16.0966632 ROUND 12: MAX CORR ( 64.4090136) AFTER KILLING INPUT VARIABLE 5 CONTR 22.7826607 LAST REMAINING VARIABLE: 7 total correlation to target: 72.7646544 % total significance: 105.374082 sigma correlations of single variables to target: variable 2: 66.7485589 % , in sigma: 96.6618773 variable 3: 51.9655219 % , in sigma: 75.2538331 variable 4: 52.0722837 % , in sigma: 75.40844 variable 5: 31.8617355 % , in sigma: 46.1405492 variable 6: 50.1378959 % , in sigma: 72.6071577 variable 7: 64.4090136 % , in sigma: 93.2738666 variable 8: 55.9275954 % , in sigma: 80.9915069 variable 9: 64.6480737 % , in sigma: 93.6200612 variable 10: -26.8426606 % , in sigma: 38.8721796 variable 11: -13.7409772 % , in sigma: 19.8989863 variable 12: -30.5185105 % , in sigma: 44.1953589 variable 13: 22.1631849 % , in sigma: 32.0956002 variable 14: 21.7527872 % , in sigma: 31.501283 variables sorted by significance: 1 most relevant variable 7 corr 64.4090118 , in sigma: 93.273864 2 most relevant variable 5 corr 22.7826614 , in sigma: 32.9926947 3 most relevant variable 4 corr 16.0966625 , in sigma: 23.3103702 4 most relevant variable 13 corr 5.95361805 , in sigma: 8.62172768 5 most relevant variable 3 corr 11.5588274 , in sigma: 16.7389076 6 most relevant variable 9 corr 9.14704323 , in sigma: 13.2462841 7 most relevant variable 10 corr 6.98979378 , in sigma: 10.1222648 8 most relevant variable 12 corr 6.07309532 , in sigma: 8.79474861 9 most relevant variable 14 corr 4.73837519 , in sigma: 6.86187461 10 most relevant variable 2 corr 1.56974494 , in sigma: 2.27322501 11 most relevant variable 11 corr 1.55171955 , in sigma: 2.24712154 12 most relevant variable 6 corr 1.09724128 , in sigma: 1.58896917 13 most relevant variable 8 corr 1.01660049 , in sigma: 1.47218927 global correlations between input variables: variable 2: 99.3278383 % variable 3: 94.3391014 % variable 4: 90.7981267 % variable 5: 95.959964 % variable 6: 95.5108884 % variable 7: 98.974805 % variable 8: 90.9804474 % variable 9: 98.9622453 % variable 10: 72.231331 % variable 11: 54.2256426 % variable 12: 70.9734498 % variable 13: 87.6035523 % variable 14: 87.0448693 % significance loss when removing single variables: variable 2: corr = 2.00464777 % , sigma = 2.90302922 variable 3: corr = 12.6489686 % , sigma = 18.3175947 variable 4: corr = 16.3663435 % , sigma = 23.7009085 variable 5: corr = 12.6535619 % , sigma = 18.3242466 variable 6: corr = 1.39205931 % , sigma = 2.01590968 variable 7: corr = 5.94140558 % , sigma = 8.6040422 variable 8: corr = 1.01660053 % , sigma = 1.47218933 variable 9: corr = 7.71754485 % , sigma = 11.176157 variable 10: corr = 6.73241981 % , sigma = 9.74954889 variable 11: corr = 1.62367002 % , sigma = 2.35131656 variable 12: corr = 5.05028046 % , sigma = 7.31356001 variable 13: corr = 5.00492802 % , sigma = 7.2478829 variable 14: corr = 4.62530945 % , sigma = 6.69813854 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 4 --> 19.2159863 sigma out 15 active outputs RANK 2 NODE 5 --> 19.0358601 sigma out 15 active outputs RANK 3 NODE 1 --> 16.0715446 sigma out 15 active outputs RANK 4 NODE 6 --> 14.3937235 sigma out 15 active outputs RANK 5 NODE 3 --> 13.3040905 sigma out 15 active outputs RANK 6 NODE 9 --> 13.0353661 sigma out 15 active outputs RANK 7 NODE 2 --> 10.7139301 sigma out 15 active outputs RANK 8 NODE 7 --> 10.4724617 sigma out 15 active outputs RANK 9 NODE 8 --> 9.59148598 sigma out 15 active outputs RANK 10 NODE 10 --> 8.38200855 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 25.0074005 sigma in 10act. ( 26.5861664 sig out 1act.) RANK 2 NODE 11 --> 19.6791534 sigma in 10act. ( 20.6328907 sig out 1act.) RANK 3 NODE 1 --> 16.6461029 sigma in 10act. ( 18.0284882 sig out 1act.) RANK 4 NODE 12 --> 12.487546 sigma in 10act. ( 14.1280956 sig out 1act.) RANK 5 NODE 4 --> 12.0217619 sigma in 10act. ( 11.7213402 sig out 1act.) RANK 6 NODE 2 --> 10.7273226 sigma in 10act. ( 11.9303656 sig out 1act.) RANK 7 NODE 14 --> 8.95796394 sigma in 10act. ( 8.69944286 sig out 1act.) RANK 8 NODE 6 --> 6.94320631 sigma in 10act. ( 7.51284075 sig out 1act.) RANK 9 NODE 3 --> 6.55935144 sigma in 10act. ( 5.19205904 sig out 1act.) RANK 10 NODE 8 --> 6.34596395 sigma in 10act. ( 7.40848923 sig out 1act.) RANK 11 NODE 10 --> 2.50857711 sigma in 10act. ( 1.84743094 sig out 1act.) RANK 12 NODE 15 --> 1.45078909 sigma in 10act. ( 0.84336251 sig out 1act.) RANK 13 NODE 9 --> 1.44667995 sigma in 10act. ( 0.951198697 sig out 1act.) RANK 14 NODE 13 --> 1.36109662 sigma in 10act. ( 1.53061914 sig out 1act.) RANK 15 NODE 5 --> 1.16836417 sigma in 10act. ( 0.929189563 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 26.5861664 sigma out 1act.( 25.0074005 sig in 10act.) RANK 2 NODE 11 --> 20.6328907 sigma out 1act.( 19.6791534 sig in 10act.) RANK 3 NODE 1 --> 18.0284882 sigma out 1act.( 16.6461029 sig in 10act.) RANK 4 NODE 12 --> 14.1280956 sigma out 1act.( 12.487546 sig in 10act.) RANK 5 NODE 2 --> 11.9303656 sigma out 1act.( 10.7273226 sig in 10act.) RANK 6 NODE 4 --> 11.7213402 sigma out 1act.( 12.0217619 sig in 10act.) RANK 7 NODE 14 --> 8.69944286 sigma out 1act.( 8.95796394 sig in 10act.) RANK 8 NODE 6 --> 7.51284075 sigma out 1act.( 6.94320631 sig in 10act.) RANK 9 NODE 8 --> 7.40848923 sigma out 1act.( 6.34596395 sig in 10act.) RANK 10 NODE 3 --> 5.19205904 sigma out 1act.( 6.55935144 sig in 10act.) RANK 11 NODE 10 --> 1.84743094 sigma out 1act.( 2.50857711 sig in 10act.) RANK 12 NODE 13 --> 1.53061914 sigma out 1act.( 1.36109662 sig in 10act.) RANK 13 NODE 9 --> 0.951198697 sigma out 1act.( 1.44667995 sig in 10act.) RANK 14 NODE 5 --> 0.929189563 sigma out 1act.( 1.16836417 sig in 10act.) RANK 15 NODE 15 --> 0.84336251 sigma out 1act.( 1.45078909 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 46.4660606 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 25.2311974 sigma out 15 active outputs RANK 2 NODE 4 --> 19.0538788 sigma out 15 active outputs RANK 3 NODE 5 --> 18.5437851 sigma out 15 active outputs RANK 4 NODE 1 --> 16.7033119 sigma out 15 active outputs RANK 5 NODE 6 --> 14.2508354 sigma out 15 active outputs RANK 6 NODE 9 --> 12.8123846 sigma out 15 active outputs RANK 7 NODE 8 --> 12.4226589 sigma out 15 active outputs RANK 8 NODE 3 --> 12.1809092 sigma out 15 active outputs RANK 9 NODE 7 --> 11.7379646 sigma out 15 active outputs RANK 10 NODE 10 --> 9.61039162 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 23.5835419 sigma in 10act. ( 24.4904613 sig out 1act.) RANK 2 NODE 11 --> 17.0763741 sigma in 10act. ( 17.7454224 sig out 1act.) RANK 3 NODE 1 --> 15.4797525 sigma in 10act. ( 16.1361637 sig out 1act.) RANK 4 NODE 13 --> 14.8412094 sigma in 10act. ( 6.0366621 sig out 1act.) RANK 5 NODE 12 --> 14.1895123 sigma in 10act. ( 14.2480278 sig out 1act.) RANK 6 NODE 15 --> 12.6769571 sigma in 10act. ( 5.05415297 sig out 1act.) RANK 7 NODE 6 --> 11.4191122 sigma in 10act. ( 8.28922939 sig out 1act.) RANK 8 NODE 2 --> 11.3520613 sigma in 10act. ( 10.2340593 sig out 1act.) RANK 9 NODE 8 --> 11.0743189 sigma in 10act. ( 8.84944534 sig out 1act.) RANK 10 NODE 5 --> 10.4144678 sigma in 10act. ( 5.81817102 sig out 1act.) RANK 11 NODE 4 --> 10.3959894 sigma in 10act. ( 9.36373901 sig out 1act.) RANK 12 NODE 3 --> 9.1626749 sigma in 10act. ( 4.6137805 sig out 1act.) RANK 13 NODE 9 --> 8.12395859 sigma in 10act. ( 2.12402439 sig out 1act.) RANK 14 NODE 14 --> 8.07406139 sigma in 10act. ( 7.09327555 sig out 1act.) RANK 15 NODE 10 --> 6.26983356 sigma in 10act. ( 2.42622232 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 24.4904613 sigma out 1act.( 23.5835419 sig in 10act.) RANK 2 NODE 11 --> 17.7454224 sigma out 1act.( 17.0763741 sig in 10act.) RANK 3 NODE 1 --> 16.1361637 sigma out 1act.( 15.4797525 sig in 10act.) RANK 4 NODE 12 --> 14.2480278 sigma out 1act.( 14.1895123 sig in 10act.) RANK 5 NODE 2 --> 10.2340593 sigma out 1act.( 11.3520613 sig in 10act.) RANK 6 NODE 4 --> 9.36373901 sigma out 1act.( 10.3959894 sig in 10act.) RANK 7 NODE 8 --> 8.84944534 sigma out 1act.( 11.0743189 sig in 10act.) RANK 8 NODE 6 --> 8.28922939 sigma out 1act.( 11.4191122 sig in 10act.) RANK 9 NODE 14 --> 7.09327555 sigma out 1act.( 8.07406139 sig in 10act.) RANK 10 NODE 13 --> 6.0366621 sigma out 1act.( 14.8412094 sig in 10act.) RANK 11 NODE 5 --> 5.81817102 sigma out 1act.( 10.4144678 sig in 10act.) RANK 12 NODE 15 --> 5.05415297 sigma out 1act.( 12.6769571 sig in 10act.) RANK 13 NODE 3 --> 4.6137805 sigma out 1act.( 9.1626749 sig in 10act.) RANK 14 NODE 10 --> 2.42622232 sigma out 1act.( 6.26983356 sig in 10act.) RANK 15 NODE 9 --> 2.12402439 sigma out 1act.( 8.12395859 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.535511 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.530523121 *** contribution from regularisation: 0.00577238295 *** contribution from error: -0.536295533 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.583271801 *** contribution from regularisation: 0.00211633788 *** contribution from error: -0.585388124 *********************************************** -----------------> Test sample ENTER BFGS code START -50524.0802 -0.321659386 0.00273513421 EXIT FROM BFGS code FG_START 0. -0.321659386 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.602474868 *** contribution from regularisation: 0.0019472515 *** contribution from error: -0.604422092 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -52178.5405 -0.321659386 -23.2526684 EXIT FROM BFGS code FG_LNSRCH 0. -0.337389857 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.610215902 *** contribution from regularisation: 0.00254731905 *** contribution from error: -0.612763226 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -52848.9665 -0.337389857 -6.23190212 EXIT FROM BFGS code NEW_X -52848.9665 -0.337389857 -6.23190212 ENTER BFGS code NEW_X -52848.9665 -0.337389857 -6.23190212 EXIT FROM BFGS code FG_LNSRCH 0. -0.33889398 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.612833142 *** contribution from regularisation: 0.00251404359 *** contribution from error: -0.615347207 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53075.638 -0.33889398 3.12194061 EXIT FROM BFGS code NEW_X -53075.638 -0.33889398 3.12194061 ENTER BFGS code NEW_X -53075.638 -0.33889398 3.12194061 EXIT FROM BFGS code FG_LNSRCH 0. -0.335164487 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.613309264 *** contribution from regularisation: 0.00252227276 *** contribution from error: -0.615831554 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53116.8775 -0.335164487 7.42169142 EXIT FROM BFGS code NEW_X -53116.8775 -0.335164487 7.42169142 ENTER BFGS code NEW_X -53116.8775 -0.335164487 7.42169142 EXIT FROM BFGS code FG_LNSRCH 0. -0.328061759 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.613446772 *** contribution from regularisation: 0.00253229146 *** contribution from error: -0.615979075 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53128.7868 -0.328061759 9.32070923 EXIT FROM BFGS code NEW_X -53128.7868 -0.328061759 9.32070923 ENTER BFGS code NEW_X -53128.7868 -0.328061759 9.32070923 EXIT FROM BFGS code FG_LNSRCH 0. -0.308581382 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.613670588 *** contribution from regularisation: 0.00243030698 *** contribution from error: -0.616100907 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53148.17 -0.308581382 8.50691986 EXIT FROM BFGS code NEW_X -53148.17 -0.308581382 8.50691986 ENTER BFGS code NEW_X -53148.17 -0.308581382 8.50691986 EXIT FROM BFGS code FG_LNSRCH 0. -0.259368986 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.613811076 *** contribution from regularisation: 0.00224467437 *** contribution from error: -0.616055727 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53160.3371 -0.259368986 9.13393307 EXIT FROM BFGS code NEW_X -53160.3371 -0.259368986 9.13393307 ENTER BFGS code NEW_X -53160.3371 -0.259368986 9.13393307 EXIT FROM BFGS code FG_LNSRCH 0. -0.0896853954 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 22.7887039 sigma out 15 active outputs RANK 2 NODE 1 --> 11.8025732 sigma out 15 active outputs RANK 3 NODE 8 --> 9.22029781 sigma out 15 active outputs RANK 4 NODE 10 --> 8.49699879 sigma out 15 active outputs RANK 5 NODE 9 --> 6.61045837 sigma out 15 active outputs RANK 6 NODE 7 --> 5.82398605 sigma out 15 active outputs RANK 7 NODE 4 --> 5.82050562 sigma out 15 active outputs RANK 8 NODE 5 --> 5.43530512 sigma out 15 active outputs RANK 9 NODE 6 --> 5.20610237 sigma out 15 active outputs RANK 10 NODE 3 --> 4.26040697 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 15.0773811 sigma in 10act. ( 14.4123917 sig out 1act.) RANK 2 NODE 15 --> 13.7120905 sigma in 10act. ( 11.997098 sig out 1act.) RANK 3 NODE 5 --> 10.9474201 sigma in 10act. ( 8.29178429 sig out 1act.) RANK 4 NODE 8 --> 9.21479511 sigma in 10act. ( 6.44261503 sig out 1act.) RANK 5 NODE 7 --> 8.68439388 sigma in 10act. ( 7.55537796 sig out 1act.) RANK 6 NODE 11 --> 7.80626249 sigma in 10act. ( 6.61538792 sig out 1act.) RANK 7 NODE 9 --> 7.7979517 sigma in 10act. ( 5.69168329 sig out 1act.) RANK 8 NODE 6 --> 6.936831 sigma in 10act. ( 5.33573294 sig out 1act.) RANK 9 NODE 1 --> 6.68497133 sigma in 10act. ( 4.86177492 sig out 1act.) RANK 10 NODE 2 --> 6.42598295 sigma in 10act. ( 5.79229403 sig out 1act.) RANK 11 NODE 12 --> 3.89249277 sigma in 10act. ( 2.34264064 sig out 1act.) RANK 12 NODE 3 --> 3.86924338 sigma in 10act. ( 2.66205287 sig out 1act.) RANK 13 NODE 4 --> 2.96113729 sigma in 10act. ( 2.10760069 sig out 1act.) RANK 14 NODE 14 --> 2.51885533 sigma in 10act. ( 1.67006111 sig out 1act.) RANK 15 NODE 10 --> 2.34988403 sigma in 10act. ( 0.494677842 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 14.4123917 sigma out 1act.( 15.0773811 sig in 10act.) RANK 2 NODE 15 --> 11.997098 sigma out 1act.( 13.7120905 sig in 10act.) RANK 3 NODE 5 --> 8.29178429 sigma out 1act.( 10.9474201 sig in 10act.) RANK 4 NODE 7 --> 7.55537796 sigma out 1act.( 8.68439388 sig in 10act.) RANK 5 NODE 11 --> 6.61538792 sigma out 1act.( 7.80626249 sig in 10act.) RANK 6 NODE 8 --> 6.44261503 sigma out 1act.( 9.21479511 sig in 10act.) RANK 7 NODE 2 --> 5.79229403 sigma out 1act.( 6.42598295 sig in 10act.) RANK 8 NODE 9 --> 5.69168329 sigma out 1act.( 7.7979517 sig in 10act.) RANK 9 NODE 6 --> 5.33573294 sigma out 1act.( 6.936831 sig in 10act.) RANK 10 NODE 1 --> 4.86177492 sigma out 1act.( 6.68497133 sig in 10act.) RANK 11 NODE 3 --> 2.66205287 sigma out 1act.( 3.86924338 sig in 10act.) RANK 12 NODE 12 --> 2.34264064 sigma out 1act.( 3.89249277 sig in 10act.) RANK 13 NODE 4 --> 2.10760069 sigma out 1act.( 2.96113729 sig in 10act.) RANK 14 NODE 14 --> 1.67006111 sigma out 1act.( 2.51885533 sig in 10act.) RANK 15 NODE 10 --> 0.494677842 sigma out 1act.( 2.34988403 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.4737358 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.613089979 *** contribution from regularisation: 0.00168992509 *** contribution from error: -0.61477989 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -53097.8838 -0.0896853954 -2.26830006 EXIT FROM BFGS code FG_LNSRCH 0. -0.229537949 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.612261891 *** contribution from regularisation: 0.00376617047 *** contribution from error: -0.61602807 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53026.165 -0.229537949 6.97730875 EXIT FROM BFGS code FG_LNSRCH 0. -0.25876981 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.613746047 *** contribution from regularisation: 0.00230964553 *** contribution from error: -0.616055667 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53154.7055 -0.25876981 8.99896049 EXIT FROM BFGS code FG_LNSRCH 0. -0.259362996 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.6135059 *** contribution from regularisation: 0.00254986971 *** contribution from error: -0.616055787 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53133.9049 -0.259362996 8.88645077 EXIT FROM BFGS code FG_LNSRCH 0. -0.259368986 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.61357379 *** contribution from regularisation: 0.00248199212 *** contribution from error: -0.616055787 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53139.7837 -0.259368986 8.87460613 EXIT FROM BFGS code FG_LNSRCH 0. -0.259368986 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.613572061 *** contribution from regularisation: 0.00248367595 *** contribution from error: -0.616055727 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53139.6379 -0.259368986 8.92378044 EXIT FROM BFGS code FG_LNSRCH 0. -0.259368986 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.613544941 *** contribution from regularisation: 0.00251080585 *** contribution from error: -0.616055727 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53137.2883 -0.259368986 8.81866932 EXIT FROM BFGS code FG_LNSRCH 0. -0.259368986 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.6135782 *** contribution from regularisation: 0.00247754948 *** contribution from error: -0.616055727 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53140.1685 -0.259368986 8.87991047 EXIT FROM BFGS code NEW_X -53140.1685 -0.259368986 8.87991047 ENTER BFGS code NEW_X -53140.1685 -0.259368986 8.87991047 EXIT FROM BFGS code CONVERGENC -53140.1685 -0.259368986 8.87991047 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 39.7956085 sigma out 15 active outputs RANK 2 NODE 1 --> 23.7107029 sigma out 15 active outputs RANK 3 NODE 8 --> 18.5145512 sigma out 15 active outputs RANK 4 NODE 10 --> 16.3408699 sigma out 15 active outputs RANK 5 NODE 4 --> 15.6302586 sigma out 15 active outputs RANK 6 NODE 5 --> 15.2754955 sigma out 15 active outputs RANK 7 NODE 9 --> 12.5720291 sigma out 15 active outputs RANK 8 NODE 6 --> 11.6348495 sigma out 15 active outputs RANK 9 NODE 7 --> 10.6094284 sigma out 15 active outputs RANK 10 NODE 3 --> 10.116807 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 24.4666119 sigma in 10act. ( 21.979332 sig out 1act.) RANK 2 NODE 15 --> 23.7228737 sigma in 10act. ( 19.6402721 sig out 1act.) RANK 3 NODE 5 --> 21.3561726 sigma in 10act. ( 16.650238 sig out 1act.) RANK 4 NODE 7 --> 20.1576748 sigma in 10act. ( 18.6646576 sig out 1act.) RANK 5 NODE 8 --> 18.76544 sigma in 10act. ( 13.5923834 sig out 1act.) RANK 6 NODE 6 --> 16.7498627 sigma in 10act. ( 14.6306791 sig out 1act.) RANK 7 NODE 11 --> 16.0920982 sigma in 10act. ( 14.7105494 sig out 1act.) RANK 8 NODE 1 --> 14.5764809 sigma in 10act. ( 12.310976 sig out 1act.) RANK 9 NODE 9 --> 14.177681 sigma in 10act. ( 10.8884983 sig out 1act.) RANK 10 NODE 2 --> 12.4010611 sigma in 10act. ( 12.0249472 sig out 1act.) RANK 11 NODE 12 --> 10.845602 sigma in 10act. ( 9.64048862 sig out 1act.) RANK 12 NODE 3 --> 6.86079025 sigma in 10act. ( 5.50861502 sig out 1act.) RANK 13 NODE 4 --> 6.47178936 sigma in 10act. ( 6.38353395 sig out 1act.) RANK 14 NODE 14 --> 5.57204866 sigma in 10act. ( 4.73733473 sig out 1act.) RANK 15 NODE 10 --> 4.61764717 sigma in 10act. ( 3.27365994 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 21.979332 sigma out 1act.( 24.4666119 sig in 10act.) RANK 2 NODE 15 --> 19.6402721 sigma out 1act.( 23.7228737 sig in 10act.) RANK 3 NODE 7 --> 18.6646576 sigma out 1act.( 20.1576748 sig in 10act.) RANK 4 NODE 5 --> 16.650238 sigma out 1act.( 21.3561726 sig in 10act.) RANK 5 NODE 11 --> 14.7105494 sigma out 1act.( 16.0920982 sig in 10act.) RANK 6 NODE 6 --> 14.6306791 sigma out 1act.( 16.7498627 sig in 10act.) RANK 7 NODE 8 --> 13.5923834 sigma out 1act.( 18.76544 sig in 10act.) RANK 8 NODE 1 --> 12.310976 sigma out 1act.( 14.5764809 sig in 10act.) RANK 9 NODE 2 --> 12.0249472 sigma out 1act.( 12.4010611 sig in 10act.) RANK 10 NODE 9 --> 10.8884983 sigma out 1act.( 14.177681 sig in 10act.) RANK 11 NODE 12 --> 9.64048862 sigma out 1act.( 10.845602 sig in 10act.) RANK 12 NODE 4 --> 6.38353395 sigma out 1act.( 6.47178936 sig in 10act.) RANK 13 NODE 3 --> 5.50861502 sigma out 1act.( 6.86079025 sig in 10act.) RANK 14 NODE 14 --> 4.73733473 sigma out 1act.( 5.57204866 sig in 10act.) RANK 15 NODE 10 --> 3.27365994 sigma out 1act.( 4.61764717 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 52.1685028 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.613560557 *** contribution from regularisation: 0.00249520224 *** contribution from error: -0.616055787 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done