NNInput NNInputs_190.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= 176862 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 = 29927 nbkg = 146935 Bkg Entries: 146935 Sig Entries: 29927 Chosen entries: 29927 Signal fraction: 1 Background fraction: 0.203675 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 146935 Actual Signal Entries: 29927 Entries to split: 29927 Test with : 14963 Train with : 14963 ********************************************* * 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= 29927 for Signal Prepared event 0 for Signal with 29927 events ====Entry 0 Variable Ht : 164.033 Variable LepAPt : 20.0646 Variable LepBPt : 18.6389 Variable MetSigLeptonsJets : 6.96649 Variable MetSpec : 68.1982 Variable SumEtLeptonsJets : 95.8338 Variable VSumJetLeptonsPt : 84.1337 Variable addEt : 106.903 Variable dPhiLepSumMet : 2.65696 Variable dPhiLeptons : 0.471814 Variable dRLeptons : 0.543149 Variable lep1_E : 20.1541 Variable lep2_E : 18.9253 ===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 = 2190 Ht = 164.033 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.0651 LepAPt = 20.0646 LepBEt = 18.6394 LepBPt = 18.6389 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 68.1982 MetDelPhi = 2.4122 MetSig = 5.50681 MetSigLeptonsJets = 6.96649 MetSpec = 68.1982 Mjj = 0 MostCentralJetEta = -1.38092 MtllMet = 107.269 Njets = 1 SB = 0 SumEt = 153.372 SumEtJets = 0 SumEtLeptonsJets = 95.8338 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 84.1337 addEt = 106.903 dPhiLepSumMet = 2.65696 dPhiLeptons = 0.471814 dRLeptons = 0.543149 diltype = 41 dimass = 10.4421 event = 86 jet1_Et = 57.1302 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 20.1541 lep2_E = 18.9253 rand = 0.999742 run = 228406 weight = 1.62738e-06 ===Show End Prepared event 10000 for Signal with 29927 events Prepared event 20000 for Signal with 29927 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 = 0.158394 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 4563 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 176862 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 4563 negative weights. Signal fraction: 62.5271072 % ------------------------------ 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 62.235527 64.6789551 66.4465485 67.7793121 68.6932983 69.7141113 70.6133728 71.3733749 72.1861725 73.2262955 73.9117584 74.3829422 75.0542679 75.6835251 76.3825378 77.0265961 77.5560455 78.1958008 78.9334106 79.5529022 80.1286163 80.8621597 81.6045609 82.3426285 83.1961441 83.8509674 85.0234222 86.118927 87.1276855 88.5094299 89.9375763 91.6209412 93.2682266 95.0258026 96.5522614 98.3806763 100.108322 101.780144 103.398315 105.075478 106.699425 108.234901 109.977943 111.745102 113.449936 115.3013 117.153763 119.182343 120.946091 122.625717 124.263756 125.915031 127.990616 129.560165 131.346786 133.112091 134.859299 136.503418 138.020905 139.499969 141.214966 142.865128 144.319199 145.918182 147.555527 149.21933 151.166077 152.715302 154.485291 156.230682 158.197571 159.994904 161.870087 163.664978 165.678253 167.787964 169.64122 171.800323 174.1297 176.44812 179.105682 181.560516 184.238159 187.021667 190.033569 193.463531 196.854553 201.105804 205.532623 209.761627 214.535675 220.032379 226.355835 235.129761 243.20816 254.890656 269.842346 288.441711 327.748718 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3261375 20.639164 20.894495 21.1687164 21.4233589 21.6511765 21.8848991 22.0914516 22.3220253 22.5228233 22.7279186 22.9673805 23.1768761 23.4160004 23.6129532 23.7878056 23.9556847 24.1810036 24.4160175 24.6013432 24.854147 25.1096325 25.3230743 25.541296 25.7180595 25.9461765 26.1747055 26.3846931 26.6206417 26.8666344 27.0869293 27.3248119 27.6213875 27.8394165 28.0641594 28.2967567 28.5615959 28.8222809 29.0846577 29.3513432 29.6294098 29.8828068 30.1626892 30.4678192 30.7729492 31.1112843 31.4614754 31.7347984 32.0629082 32.4545059 32.7992325 33.166214 33.524292 33.8675308 34.225441 34.6088638 34.9842033 35.3433456 35.733551 36.1585159 36.5919571 37.0213699 37.4842148 37.9318047 38.38414 38.860405 39.3272972 39.7943726 40.300972 40.8277931 41.3843002 41.9474258 42.5090714 43.0919189 43.7249832 44.366478 45.0611382 45.743103 46.4000206 47.0753059 47.8250198 48.5551758 49.3070946 50.0655403 51.0078812 51.905304 53.0221329 54.0315628 55.0820465 56.423233 57.7360649 59.1570396 60.5546455 62.2610931 64.2754898 66.7222214 69.6051178 73.7842178 80.9887619 160.265121 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.118185 10.235136 10.3424416 10.4587193 10.5696526 10.6862106 10.7979469 10.9190655 11.0418148 11.1838264 11.3277321 11.4476728 11.5767021 11.7253609 11.8554878 12.008707 12.1453762 12.3142109 12.4943752 12.665472 12.8267784 12.9688568 13.1430473 13.3447618 13.515873 13.6785011 13.8373356 14.0143766 14.2057886 14.3524094 14.5464382 14.7357693 14.919961 15.1176071 15.322444 15.5056763 15.7273884 15.9032822 16.127882 16.3683319 16.5698509 16.802269 17.0032787 17.2643089 17.4976063 17.7362862 17.9821281 18.2085266 18.420351 18.6430283 18.9004097 19.1138668 19.3527699 19.6042938 19.8286209 20.0598106 20.2813892 20.4733658 20.6755486 20.9091225 21.1491299 21.3562508 21.571434 21.7615223 21.9830971 22.2158127 22.4340515 22.6750298 22.9034195 23.1488171 23.3707809 23.605608 23.8540611 24.110527 24.3960495 24.670929 24.944664 25.2454395 25.5603676 25.8502121 26.1370544 26.4660797 26.8013153 27.2025967 27.5433769 27.9158077 28.3042336 28.7012558 29.1521912 29.6656647 30.1999912 30.7063656 31.3226299 32.0253525 32.8725967 33.9047966 35.326973 37.0411758 40.8708763 74.3859253 ------------------------------ Transdef: Tab for variable 5 0.951345682 2.66290379 3.04838967 3.30431938 3.58821774 3.7866993 3.97314429 4.11414099 4.23240423 4.36160517 4.47983456 4.58393478 4.69011211 4.79134512 4.87518692 4.95901823 5.03468704 5.11399937 5.18003273 5.25418854 5.32185936 5.38090134 5.4355793 5.48868752 5.53871107 5.59146786 5.64050865 5.69679689 5.75227833 5.80501366 5.84546566 5.89763069 5.94469786 5.99151897 6.02630568 6.07014084 6.1080513 6.15050125 6.19809532 6.23976135 6.27836227 6.3156333 6.35558748 6.40333366 6.44819355 6.49551201 6.53548145 6.58937073 6.63947392 6.68053818 6.72881317 6.76748466 6.8194766 6.86381245 6.91686296 6.96911573 7.02321863 7.07803774 7.1407032 7.18545818 7.25712442 7.30816555 7.36839294 7.42131662 7.48065758 7.54249144 7.60523987 7.67081356 7.73708105 7.80016899 7.86819601 7.93334389 8.00197983 8.07135963 8.13376236 8.19747543 8.25439835 8.32235336 8.40047073 8.46951389 8.54298782 8.62296391 8.69337082 8.77532959 8.85820961 8.94098282 9.02780914 9.11516285 9.21456718 9.32580757 9.42722607 9.54409599 9.68673706 9.82566738 9.98891258 10.1853151 10.4271431 10.7881374 11.222127 12.0851202 23.835556 ------------------------------ Transdef: Tab for variable 6 15.0343132 20.7746143 25.1386147 26.1120529 27.073658 27.8584175 28.6776848 29.4417419 30.2575607 30.9062176 31.47616 32.0986748 32.5761795 33.012989 33.5128326 34.007515 34.4566879 34.7844696 35.1875839 35.5856171 35.9801331 36.3969193 36.7433205 37.1068726 37.4700241 37.7935371 38.084343 38.5097885 38.8998299 39.2934914 39.6661568 40.0064774 40.3411026 40.6980667 41.0731888 41.5533524 42.0687943 42.4772339 42.9157562 43.40411 43.8358536 44.3887405 44.9308929 45.6392097 46.3529358 47.1535492 47.9143143 48.6167068 49.271286 49.9739761 50.6444206 51.4295654 52.3815575 53.1827278 53.9931412 54.7805939 55.5714455 56.4765129 57.1869354 58.0117645 58.8441696 59.7061462 60.5499573 61.5223312 62.3804932 63.2649612 64.1144791 64.9958038 65.9274979 66.8114166 67.6926498 68.5199051 69.3171158 70.192276 71.1490631 72.0072861 72.9253082 73.8570633 74.6995773 75.6365585 76.6661682 77.6466293 78.8229523 80.0660095 81.2061081 82.4805832 83.6818542 85.0153961 86.4383087 88.0406494 89.7509079 91.6179047 93.7079239 96.1391144 98.9293518 102.372612 106.567062 112.385048 120.351776 134.810303 263.73288 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.4678345 33.4052429 34.0951958 34.7406082 35.3145752 35.7559052 36.1811066 36.5333481 36.9453201 37.2548027 37.6254196 37.9694214 38.283123 38.6117821 38.88694 39.1768608 39.4444275 39.7196045 40.0698166 40.3880234 40.7285919 41.0363426 41.440155 41.8475876 42.2803955 42.7342987 43.346096 43.9640503 44.7221756 45.2596664 46.0727692 46.8800087 47.8431854 48.8428879 50.0460358 51.2332306 52.5951462 53.5425606 54.5713005 55.6537857 56.6367569 57.6997681 58.6400223 59.4207344 60.3234634 61.234581 62.1824646 63.1061287 64.0848236 64.9537048 65.8786621 66.753891 67.7241745 68.6655121 69.689827 70.5098877 71.5404358 72.4354706 73.3694611 74.4251862 75.3535843 76.4905701 77.6322937 78.785965 79.879364 81.0917664 82.1904602 83.4955444 84.8612061 86.1433716 87.5514984 88.8875122 90.2645111 91.6620789 93.1438141 94.6203918 96.2834473 98.0065613 99.6544342 101.544449 103.516823 105.575844 107.662415 109.948326 112.593826 115.315048 117.955383 120.847054 124.52594 127.927238 131.993927 136.446869 141.280273 146.95993 153.420532 163.242996 175.159729 192.3862 222.235565 476.899628 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.2384491 28.5111656 30.5171394 31.6937027 32.4373856 33.0386047 33.5830383 33.9889221 34.4314499 34.876152 35.2236328 35.5922279 35.9328842 36.1951523 36.5419159 36.8506508 37.1789169 37.4498825 37.6909828 37.9430618 38.2148819 38.5223541 38.7802887 39.0410538 39.3241386 39.6309738 39.9197617 40.1780396 40.4638062 40.7713318 41.1033859 41.3993378 41.8178329 42.2577095 42.7242584 43.1811523 43.6772156 44.1209106 44.6061554 45.2191887 45.872261 46.4635086 47.0542984 47.9221954 48.6981049 49.3883324 50.1860809 50.9750977 51.7204361 52.5566406 53.2474823 53.9761276 54.7361298 55.5457153 56.2795906 57.0073204 57.7837677 58.4505692 59.1470985 59.8401489 60.5543938 61.3546829 62.1170578 62.8098907 63.5686798 64.2578888 64.9971771 65.7319107 66.4147034 67.2441483 68.0394516 68.875412 69.5926056 70.3612518 71.2247314 72.1358337 72.9790039 73.9714966 74.8030396 75.7122726 76.6619492 77.752655 78.8684158 79.8842926 81.009552 82.1199646 83.3652649 84.6781158 86.2782516 88.066124 90.0679321 92.1048584 94.3575134 96.7709961 100.149765 104.930298 110.712082 119.208084 134.54538 326.868286 ------------------------------ Transdef: Tab for variable 9 47.1748543 61.5898247 64.163147 65.8158875 67.1685867 68.2210388 68.9718781 69.8494263 70.5659485 71.2906342 71.9304199 72.7739563 73.5660172 74.1131592 74.5765228 75.2914352 75.7592392 76.3865891 76.9866409 77.3772736 77.9552994 78.5613251 79.1032791 79.6648636 80.1524658 80.7921143 81.4364471 82.034729 82.5238876 83.2741699 83.8267822 84.7593613 85.55336 86.4200745 87.1414185 88.2584229 89.2659912 90.5509644 91.8562469 93.103302 94.4208374 95.693573 97.1745071 98.737854 100.194458 101.689804 103.189468 104.80896 106.165421 107.578369 108.962509 110.540169 112.083504 113.606049 114.96508 116.383179 117.787521 119.281342 120.474213 121.849823 123.161057 124.472702 125.863678 127.373123 128.63118 129.701965 130.913025 132.268921 133.580811 134.851166 136.036102 137.339142 138.523544 139.720856 141.00502 142.327393 143.608673 144.95575 146.336792 147.781219 149.10202 150.594757 152.238434 153.8013 155.349091 157.093887 158.805389 160.474213 162.355072 164.482574 166.681396 168.652054 170.999557 173.73613 176.700455 179.756378 183.63916 189.142212 196.630859 210.48349 385.645142 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.04871392 1.37727189 1.59875011 1.75241244 1.86435294 1.96279311 2.04380536 2.1121192 2.17464209 2.23623037 2.28815556 2.33168983 2.37922859 2.41990709 2.45544934 2.48761392 2.5182786 2.54760933 2.5754714 2.60185719 2.62437391 2.64835024 2.67178679 2.69297028 2.71424341 2.73054361 2.74743462 2.76370168 2.77941418 2.79250336 2.80776358 2.82030392 2.83228493 2.84198499 2.8520565 2.86254334 2.87210345 2.88161659 2.89232397 2.90123534 2.91065073 2.91790485 2.92575717 2.93326735 2.94023705 2.9469223 2.95345831 2.96066689 2.96691322 2.97278214 2.97874951 2.98398352 2.98937678 2.99419594 2.99885893 3.00341558 3.0078578 3.01291227 3.01682115 3.02189064 3.02567673 3.02978563 3.03398967 3.03781366 3.04169416 3.04553866 3.04964352 3.05345511 3.05741882 3.06029534 3.06376886 3.06700039 3.07025146 3.07369423 3.0764389 3.07940173 3.08248758 3.08545542 3.08840132 3.09095764 3.09393573 3.0965209 3.09907317 3.10160971 3.10412025 3.1067729 3.10934877 3.11207294 3.1141448 3.11673975 3.11922956 3.12166667 3.12449551 3.12702489 3.12940121 3.13181496 3.13421869 3.13663292 3.13912106 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.13248825E-05 0.00640597939 0.0115868449 0.0186812915 0.0247340184 0.0325206518 0.0401515663 0.0475115776 0.0544122159 0.0610553026 0.0680017471 0.0750539303 0.0828239843 0.090076685 0.0968464613 0.103476822 0.110655062 0.1161156 0.12277627 0.12998414 0.136371851 0.143052697 0.149193048 0.155385613 0.161344439 0.166505814 0.172874391 0.179173261 0.185136735 0.190618366 0.196997374 0.201872945 0.206166625 0.211381495 0.215339482 0.220628262 0.225592792 0.230348989 0.234525681 0.239212871 0.244373798 0.249002904 0.254011869 0.259175777 0.263704896 0.268652201 0.273646295 0.278460622 0.283357382 0.288258314 0.293697953 0.299155831 0.304358214 0.309918523 0.315207243 0.32001847 0.32513231 0.330622792 0.335649431 0.341057897 0.346529156 0.351940632 0.357419014 0.363140464 0.36930418 0.375150442 0.381548762 0.386859834 0.392982721 0.398632526 0.405091137 0.411559224 0.418318391 0.42524457 0.430933833 0.437632143 0.444093555 0.451732755 0.459872395 0.467317581 0.475105524 0.483433485 0.49288857 0.503289819 0.512533069 0.522509098 0.531329155 0.542942047 0.553775787 0.567445219 0.579609573 0.594014883 0.609633684 0.628906429 0.646193743 0.663390696 0.691480815 0.723629713 0.772666872 0.826537549 1.12525487 ------------------------------ Transdef: Tab for variable 12 0.200011998 0.207858443 0.216086328 0.223207712 0.229906633 0.236473382 0.242398232 0.248382181 0.254205734 0.260718107 0.266667306 0.27223891 0.27726084 0.283325046 0.288613021 0.294048667 0.298834741 0.30400461 0.309735507 0.315140486 0.320233226 0.325618088 0.330963284 0.337027073 0.342683464 0.348224342 0.353157401 0.358521879 0.36292845 0.368281126 0.373139739 0.378424048 0.384525776 0.389374703 0.394587338 0.399223268 0.40382123 0.40731141 0.411372066 0.414657682 0.418541968 0.422382653 0.426163256 0.429776043 0.433321744 0.436978281 0.440642416 0.444654286 0.447536945 0.452367336 0.456674159 0.460560918 0.464841843 0.469322801 0.473345578 0.47752738 0.482021809 0.485725433 0.490217119 0.495050609 0.499647677 0.503948092 0.508199334 0.513098717 0.51815021 0.523213148 0.527845502 0.53284204 0.538332641 0.544864178 0.550451756 0.556555986 0.561633587 0.567325354 0.573663652 0.579697251 0.586179674 0.59370482 0.600782633 0.608079314 0.616305828 0.623543382 0.631515145 0.639662981 0.650175571 0.658509135 0.66667068 0.675218225 0.684623599 0.697187245 0.710874319 0.723550677 0.735851824 0.750850677 0.764556646 0.784975171 0.806898117 0.829349577 0.862501144 0.910815179 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.0083618 21.513546 22.3101139 22.9472885 23.4936447 23.9460411 24.5100193 25.053463 25.5029697 25.9324055 26.3948803 26.8485031 27.2329483 27.6334724 28.0068722 28.4206429 28.7752132 29.1414223 29.4790382 29.7882137 30.1214333 30.4919739 30.8093929 31.1871986 31.5448017 31.9100418 32.2820435 32.663002 33.1239967 33.5056725 33.8899231 34.2966385 34.6180191 35.0345306 35.4079285 35.8170433 36.1725464 36.5108185 36.9259224 37.3404617 37.821907 38.2635956 38.6406174 39.0764694 39.4985046 40.0060959 40.499176 40.954277 41.4554291 41.976738 42.5236282 42.9641876 43.4565926 43.8763657 44.3984756 44.9022827 45.4717674 46.0111313 46.5415726 47.0194664 47.5943604 48.1362495 48.7039108 49.197525 49.8265572 50.4490662 51.0374069 51.7183762 52.3049774 52.9823151 53.7005768 54.3450775 55.0906372 55.8286438 56.6018448 57.2962646 58.1400375 58.9214706 59.7396736 60.5471001 61.3478127 62.1684036 63.0225067 64.1152878 65.3060837 66.4032135 67.5909271 69.0040359 70.2784424 71.8385391 73.5100555 75.1472778 76.9758911 78.7156982 81.2880478 84.1483994 87.7095642 91.9069061 98.0105286 108.826904 208.211441 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.6530628 11.0634842 11.3843594 11.7121906 12.031189 12.3603134 12.7073135 13.0219383 13.3472862 13.6368275 13.9133625 14.2311649 14.5237417 14.8130512 15.0952988 15.343811 15.6014547 15.9235058 16.2298603 16.4914627 16.7895241 17.0751171 17.3485165 17.6338768 17.8883133 18.158989 18.4387474 18.7488861 18.9957581 19.1728535 19.4474564 19.7566948 20.0137177 20.2973061 20.565155 20.8088112 21.0689583 21.3231831 21.5432701 21.7908592 22.0382996 22.3072128 22.5551186 22.8154202 23.051815 23.2855034 23.4991875 23.7290363 23.9770775 24.2168293 24.5054016 24.7386875 25.0050068 25.281744 25.5316887 25.7702408 26.031498 26.3035431 26.5549088 26.8414612 27.1268082 27.3790741 27.6457176 27.9372063 28.1764679 28.4430733 28.742836 29.036171 29.2982941 29.6033669 29.9108162 30.2336407 30.5590935 30.9191093 31.2411118 31.5744572 31.9219055 32.329071 32.7527924 33.2086411 33.6065941 34.0266876 34.4876099 34.982769 35.561203 36.1129608 36.7401543 37.3749466 38.145813 38.9775238 39.872879 40.8684769 42.0066757 43.3120651 44.7218018 46.9976311 49.5848503 53.6168671 60.5073776 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 67.7 53.4 53.3 33.6 51.7 65.1 57.3 66.0 -26.7 -16.0 -32.0 22.5 22.8 2 67.7 100.0 69.8 58.1 42.3 72.0 94.5 77.7 92.4 -42.6 -22.6 -42.8 40.5 29.8 3 53.4 69.8 100.0 44.1 22.1 43.9 71.2 60.8 77.1 -13.0 -24.6 -49.0 70.5 21.5 4 53.3 58.1 44.1 100.0 16.7 36.0 59.8 49.2 61.1 -13.3 -26.0 -50.7 22.8 70.0 5 33.6 42.3 22.1 16.7 100.0 85.7 15.1 62.6 62.7 22.8 -8.2 -12.2 7.6 3.3 6 51.7 72.0 43.9 36.0 85.7 100.0 51.3 81.2 82.3 -5.4 -14.8 -26.0 22.1 15.1 7 65.1 94.5 71.2 59.8 15.1 51.3 100.0 68.8 81.0 -51.8 -21.8 -43.0 43.1 32.9 8 57.3 77.7 60.8 49.2 62.6 81.2 68.8 100.0 85.3 -9.0 -21.6 -37.7 35.4 25.3 9 66.0 92.4 77.1 61.1 62.7 82.3 81.0 85.3 100.0 -18.2 -24.9 -47.3 47.1 32.4 10 -26.7 -42.6 -13.0 -13.3 22.8 -5.4 -51.8 -9.0 -18.2 100.0 2.5 7.0 -4.5 -5.1 11 -16.0 -22.6 -24.6 -26.0 -8.2 -14.8 -21.8 -21.6 -24.9 2.5 100.0 54.3 -10.3 -13.3 12 -32.0 -42.8 -49.0 -50.7 -12.2 -26.0 -43.0 -37.7 -47.3 7.0 54.3 100.0 -24.9 -23.9 13 22.5 40.5 70.5 22.8 7.6 22.1 43.1 35.4 47.1 -4.5 -10.3 -24.9 100.0 44.7 14 22.8 29.8 21.5 70.0 3.3 15.1 32.9 25.3 32.4 -5.1 -13.3 -23.9 44.7 100.0 TOTAL CORRELATION TO TARGET (diagonal) 170.18369 TOTAL CORRELATION OF ALL VARIABLES 73.7170778 ROUND 1: MAX CORR ( 73.7170314) AFTER KILLING INPUT VARIABLE 8 CONTR 0.0827186732 ROUND 2: MAX CORR ( 73.7166009) AFTER KILLING INPUT VARIABLE 6 CONTR 0.2519335 ROUND 3: MAX CORR ( 73.7129417) AFTER KILLING INPUT VARIABLE 11 CONTR 0.734486192 ROUND 4: MAX CORR ( 73.6909234) AFTER KILLING INPUT VARIABLE 2 CONTR 1.8015492 ROUND 5: MAX CORR ( 73.5789868) AFTER KILLING INPUT VARIABLE 14 CONTR 4.06015885 ROUND 6: MAX CORR ( 73.3885148) AFTER KILLING INPUT VARIABLE 12 CONTR 5.29085964 ROUND 7: MAX CORR ( 73.0819682) AFTER KILLING INPUT VARIABLE 10 CONTR 6.70074797 ROUND 8: MAX CORR ( 72.4816672) AFTER KILLING INPUT VARIABLE 9 CONTR 9.34783377 ROUND 9: MAX CORR ( 71.3933513) AFTER KILLING INPUT VARIABLE 13 CONTR 12.5132523 ROUND 10: MAX CORR ( 71.1393842) AFTER KILLING INPUT VARIABLE 3 CONTR 6.01652858 ROUND 11: MAX CORR ( 69.3922652) AFTER KILLING INPUT VARIABLE 4 CONTR 15.669254 ROUND 12: MAX CORR ( 65.0913537) AFTER KILLING INPUT VARIABLE 5 CONTR 24.0499925 LAST REMAINING VARIABLE: 7 total correlation to target: 73.7170778 % total significance: 114.222908 sigma correlations of single variables to target: variable 2: 67.700806 % , in sigma: 104.900834 variable 3: 53.3957415 % , in sigma: 82.735467 variable 4: 53.29176 % , in sigma: 82.5743501 variable 5: 33.5790815 % , in sigma: 52.0300105 variable 6: 51.660694 % , in sigma: 80.047051 variable 7: 65.0913537 % , in sigma: 100.857548 variable 8: 57.3114881 % , in sigma: 88.8028259 variable 9: 65.9632662 % , in sigma: 102.208556 variable 10: -26.7017527 % , in sigma: 41.3737485 variable 11: -16.003545 % , in sigma: 24.797123 variable 12: -31.9865428 % , in sigma: 49.5624086 variable 13: 22.4732223 % , in sigma: 34.8217383 variable 14: 22.8399873 % , in sigma: 35.3900323 variables sorted by significance: 1 most relevant variable 7 corr 65.0913544 , in sigma: 100.857549 2 most relevant variable 5 corr 24.0499916 , in sigma: 37.264906 3 most relevant variable 4 corr 15.6692543 , in sigma: 24.2791473 4 most relevant variable 3 corr 6.01652861 , in sigma: 9.32247198 5 most relevant variable 13 corr 12.5132523 , in sigma: 19.3889951 6 most relevant variable 9 corr 9.34783363 , in sigma: 14.4842521 7 most relevant variable 10 corr 6.70074797 , in sigma: 10.3826541 8 most relevant variable 12 corr 5.2908597 , in sigma: 8.19806478 9 most relevant variable 14 corr 4.06015873 , in sigma: 6.29112208 10 most relevant variable 2 corr 1.8015492 , in sigma: 2.79145883 11 most relevant variable 11 corr 0.734486163 , in sigma: 1.13806933 12 most relevant variable 6 corr 0.251933485 , in sigma: 0.390365111 13 most relevant variable 8 corr 0.0827186704 , in sigma: 0.128170667 global correlations between input variables: variable 2: 99.282443 % variable 3: 94.1599524 % variable 4: 90.8899867 % variable 5: 95.8263069 % variable 6: 95.1184838 % variable 7: 98.9044944 % variable 8: 90.8140442 % variable 9: 98.9323489 % variable 10: 72.5941778 % variable 11: 54.9701519 % variable 12: 71.3955396 % variable 13: 87.4011936 % variable 14: 87.30165 % significance loss when removing single variables: variable 2: corr = 1.72196176 % , sigma = 2.66813994 variable 3: corr = 13.4541278 % , sigma = 20.84686 variable 4: corr = 15.6570015 % , sigma = 24.2601619 variable 5: corr = 12.7478354 % , sigma = 19.7524762 variable 6: corr = 0.26494246 % , sigma = 0.410522216 variable 7: corr = 6.61615706 % , sigma = 10.2515824 variable 8: corr = 0.0827186732 % , sigma = 0.128170672 variable 9: corr = 7.97413927 % , sigma = 12.3557444 variable 10: corr = 6.01303504 % , sigma = 9.31705878 variable 11: corr = 0.738521207 % , sigma = 1.14432154 variable 12: corr = 4.67886791 % , sigma = 7.24979766 variable 13: corr = 5.78757562 % , sigma = 8.96771462 variable 14: corr = 3.95608036 % , sigma = 6.12985506 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 19.6128063 sigma out 15 active outputs RANK 2 NODE 9 --> 18.1547184 sigma out 15 active outputs RANK 3 NODE 4 --> 16.439106 sigma out 15 active outputs RANK 4 NODE 5 --> 13.5681868 sigma out 15 active outputs RANK 5 NODE 8 --> 12.0858593 sigma out 15 active outputs RANK 6 NODE 10 --> 11.2190704 sigma out 15 active outputs RANK 7 NODE 6 --> 10.384161 sigma out 15 active outputs RANK 8 NODE 2 --> 10.1083107 sigma out 15 active outputs RANK 9 NODE 7 --> 10.0135517 sigma out 15 active outputs RANK 10 NODE 1 --> 8.3472929 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 28.2087059 sigma in 10act. ( 29.1581497 sig out 1act.) RANK 2 NODE 1 --> 20.3467674 sigma in 10act. ( 20.7285442 sig out 1act.) RANK 3 NODE 10 --> 15.0989895 sigma in 10act. ( 15.3242226 sig out 1act.) RANK 4 NODE 4 --> 9.88247299 sigma in 10act. ( 9.04773903 sig out 1act.) RANK 5 NODE 5 --> 9.78226376 sigma in 10act. ( 12.0225134 sig out 1act.) RANK 6 NODE 3 --> 6.65029001 sigma in 10act. ( 7.81736708 sig out 1act.) RANK 7 NODE 7 --> 6.28604555 sigma in 10act. ( 6.27578974 sig out 1act.) RANK 8 NODE 15 --> 5.58138847 sigma in 10act. ( 5.90274096 sig out 1act.) RANK 9 NODE 9 --> 4.08765173 sigma in 10act. ( 5.20837116 sig out 1act.) RANK 10 NODE 6 --> 3.80668235 sigma in 10act. ( 3.32457995 sig out 1act.) RANK 11 NODE 14 --> 3.65438604 sigma in 10act. ( 5.24431181 sig out 1act.) RANK 12 NODE 2 --> 3.41799641 sigma in 10act. ( 3.20036864 sig out 1act.) RANK 13 NODE 12 --> 3.06568623 sigma in 10act. ( 2.21229839 sig out 1act.) RANK 14 NODE 13 --> 2.64998531 sigma in 10act. ( 1.64166963 sig out 1act.) RANK 15 NODE 11 --> 1.37136781 sigma in 10act. ( 0.440105915 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 29.1581497 sigma out 1act.( 28.2087059 sig in 10act.) RANK 2 NODE 1 --> 20.7285442 sigma out 1act.( 20.3467674 sig in 10act.) RANK 3 NODE 10 --> 15.3242226 sigma out 1act.( 15.0989895 sig in 10act.) RANK 4 NODE 5 --> 12.0225134 sigma out 1act.( 9.78226376 sig in 10act.) RANK 5 NODE 4 --> 9.04773903 sigma out 1act.( 9.88247299 sig in 10act.) RANK 6 NODE 3 --> 7.81736708 sigma out 1act.( 6.65029001 sig in 10act.) RANK 7 NODE 7 --> 6.27578974 sigma out 1act.( 6.28604555 sig in 10act.) RANK 8 NODE 15 --> 5.90274096 sigma out 1act.( 5.58138847 sig in 10act.) RANK 9 NODE 14 --> 5.24431181 sigma out 1act.( 3.65438604 sig in 10act.) RANK 10 NODE 9 --> 5.20837116 sigma out 1act.( 4.08765173 sig in 10act.) RANK 11 NODE 6 --> 3.32457995 sigma out 1act.( 3.80668235 sig in 10act.) RANK 12 NODE 2 --> 3.20036864 sigma out 1act.( 3.41799641 sig in 10act.) RANK 13 NODE 12 --> 2.21229839 sigma out 1act.( 3.06568623 sig in 10act.) RANK 14 NODE 13 --> 1.64166963 sigma out 1act.( 2.64998531 sig in 10act.) RANK 15 NODE 11 --> 0.440105915 sigma out 1act.( 1.37136781 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 44.2736015 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 19.2251205 sigma out 15 active outputs RANK 2 NODE 2 --> 18.2253609 sigma out 15 active outputs RANK 3 NODE 9 --> 17.3653774 sigma out 15 active outputs RANK 4 NODE 4 --> 15.9960756 sigma out 15 active outputs RANK 5 NODE 5 --> 14.8137245 sigma out 15 active outputs RANK 6 NODE 8 --> 14.3225155 sigma out 15 active outputs RANK 7 NODE 10 --> 12.5789042 sigma out 15 active outputs RANK 8 NODE 6 --> 11.9380379 sigma out 15 active outputs RANK 9 NODE 1 --> 11.5959158 sigma out 15 active outputs RANK 10 NODE 7 --> 11.3570232 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 25.7367439 sigma in 10act. ( 26.6443329 sig out 1act.) RANK 2 NODE 1 --> 21.133749 sigma in 10act. ( 19.6293201 sig out 1act.) RANK 3 NODE 10 --> 13.7706337 sigma in 10act. ( 13.7955256 sig out 1act.) RANK 4 NODE 5 --> 12.7414045 sigma in 10act. ( 12.4640455 sig out 1act.) RANK 5 NODE 14 --> 12.52808 sigma in 10act. ( 7.24492359 sig out 1act.) RANK 6 NODE 3 --> 11.0426931 sigma in 10act. ( 8.31092167 sig out 1act.) RANK 7 NODE 4 --> 10.8252316 sigma in 10act. ( 8.81103802 sig out 1act.) RANK 8 NODE 9 --> 9.08347225 sigma in 10act. ( 6.58286333 sig out 1act.) RANK 9 NODE 2 --> 7.91199493 sigma in 10act. ( 3.92885876 sig out 1act.) RANK 10 NODE 15 --> 7.7663064 sigma in 10act. ( 6.17535496 sig out 1act.) RANK 11 NODE 7 --> 7.14933586 sigma in 10act. ( 5.39321089 sig out 1act.) RANK 12 NODE 12 --> 6.86969614 sigma in 10act. ( 2.47443509 sig out 1act.) RANK 13 NODE 6 --> 6.33392477 sigma in 10act. ( 3.2291522 sig out 1act.) RANK 14 NODE 13 --> 5.99196959 sigma in 10act. ( 1.45388401 sig out 1act.) RANK 15 NODE 11 --> 3.33948684 sigma in 10act. ( 0.117392242 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 26.6443329 sigma out 1act.( 25.7367439 sig in 10act.) RANK 2 NODE 1 --> 19.6293201 sigma out 1act.( 21.133749 sig in 10act.) RANK 3 NODE 10 --> 13.7955256 sigma out 1act.( 13.7706337 sig in 10act.) RANK 4 NODE 5 --> 12.4640455 sigma out 1act.( 12.7414045 sig in 10act.) RANK 5 NODE 4 --> 8.81103802 sigma out 1act.( 10.8252316 sig in 10act.) RANK 6 NODE 3 --> 8.31092167 sigma out 1act.( 11.0426931 sig in 10act.) RANK 7 NODE 14 --> 7.24492359 sigma out 1act.( 12.52808 sig in 10act.) RANK 8 NODE 9 --> 6.58286333 sigma out 1act.( 9.08347225 sig in 10act.) RANK 9 NODE 15 --> 6.17535496 sigma out 1act.( 7.7663064 sig in 10act.) RANK 10 NODE 7 --> 5.39321089 sigma out 1act.( 7.14933586 sig in 10act.) RANK 11 NODE 2 --> 3.92885876 sigma out 1act.( 7.91199493 sig in 10act.) RANK 12 NODE 6 --> 3.2291522 sigma out 1act.( 6.33392477 sig in 10act.) RANK 13 NODE 12 --> 2.47443509 sigma out 1act.( 6.86969614 sig in 10act.) RANK 14 NODE 13 --> 1.45388401 sigma out 1act.( 5.99196959 sig in 10act.) RANK 15 NODE 11 --> 0.117392242 sigma out 1act.( 3.33948684 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 42.2464676 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.516351581 *** contribution from regularisation: 0.00406350382 *** contribution from error: -0.520415068 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.561401367 *** contribution from regularisation: 0.00196842081 *** contribution from error: -0.563369811 *********************************************** -----------------> Test sample ENTER BFGS code START -49654.1258 -0.270946085 -0.0340542942 EXIT FROM BFGS code FG_START 0. -0.270946085 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.589806914 *** contribution from regularisation: 0.00194246497 *** contribution from error: -0.59174937 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -52157.2128 -0.270946085 -28.7669792 EXIT FROM BFGS code FG_LNSRCH 0. -0.286429316 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.604667366 *** contribution from regularisation: 0.00275172759 *** contribution from error: -0.607419074 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53471.3377 -0.286429316 -19.9814339 EXIT FROM BFGS code NEW_X -53471.3377 -0.286429316 -19.9814339 ENTER BFGS code NEW_X -53471.3377 -0.286429316 -19.9814339 EXIT FROM BFGS code FG_LNSRCH 0. -0.295399755 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.606131256 *** contribution from regularisation: 0.00269317697 *** contribution from error: -0.608824432 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53600.7948 -0.295399755 -3.72905493 EXIT FROM BFGS code NEW_X -53600.7948 -0.295399755 -3.72905493 ENTER BFGS code NEW_X -53600.7948 -0.295399755 -3.72905493 EXIT FROM BFGS code FG_LNSRCH 0. -0.298775643 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.606801033 *** contribution from regularisation: 0.00257505523 *** contribution from error: -0.609376073 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53660.0212 -0.298775643 5.52587938 EXIT FROM BFGS code NEW_X -53660.0212 -0.298775643 5.52587938 ENTER BFGS code NEW_X -53660.0212 -0.298775643 5.52587938 EXIT FROM BFGS code FG_LNSRCH 0. -0.295342326 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.606991589 *** contribution from regularisation: 0.00249254378 *** contribution from error: -0.609484136 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53676.8712 -0.295342326 8.56315231 EXIT FROM BFGS code NEW_X -53676.8712 -0.295342326 8.56315231 ENTER BFGS code NEW_X -53676.8712 -0.295342326 8.56315231 EXIT FROM BFGS code FG_LNSRCH 0. -0.28028363 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.607162297 *** contribution from regularisation: 0.00237654662 *** contribution from error: -0.609538853 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53691.9683 -0.28028363 8.85199261 EXIT FROM BFGS code NEW_X -53691.9683 -0.28028363 8.85199261 ENTER BFGS code NEW_X -53691.9683 -0.28028363 8.85199261 EXIT FROM BFGS code FG_LNSRCH 0. -0.218762219 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.60731566 *** contribution from regularisation: 0.00200462667 *** contribution from error: -0.609320283 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53705.5324 -0.218762219 6.80582047 EXIT FROM BFGS code NEW_X -53705.5324 -0.218762219 6.80582047 ENTER BFGS code NEW_X -53705.5324 -0.218762219 6.80582047 EXIT FROM BFGS code FG_LNSRCH 0. -0.109907664 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 27.4178944 sigma out 15 active outputs RANK 2 NODE 1 --> 13.353754 sigma out 15 active outputs RANK 3 NODE 8 --> 12.1119471 sigma out 15 active outputs RANK 4 NODE 10 --> 10.2704954 sigma out 15 active outputs RANK 5 NODE 9 --> 8.28202248 sigma out 15 active outputs RANK 6 NODE 4 --> 7.44077444 sigma out 15 active outputs RANK 7 NODE 7 --> 7.43343639 sigma out 15 active outputs RANK 8 NODE 6 --> 7.14204359 sigma out 15 active outputs RANK 9 NODE 3 --> 6.44329453 sigma out 15 active outputs RANK 10 NODE 5 --> 5.06141853 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 21.8344727 sigma in 10act. ( 17.8167496 sig out 1act.) RANK 2 NODE 9 --> 14.3925152 sigma in 10act. ( 10.0063324 sig out 1act.) RANK 3 NODE 5 --> 12.7895718 sigma in 10act. ( 12.02316 sig out 1act.) RANK 4 NODE 3 --> 12.0116529 sigma in 10act. ( 12.3671589 sig out 1act.) RANK 5 NODE 8 --> 11.3289318 sigma in 10act. ( 9.3986578 sig out 1act.) RANK 6 NODE 1 --> 10.6233721 sigma in 10act. ( 9.2119503 sig out 1act.) RANK 7 NODE 15 --> 7.71784735 sigma in 10act. ( 5.77528286 sig out 1act.) RANK 8 NODE 6 --> 7.24206448 sigma in 10act. ( 6.5323925 sig out 1act.) RANK 9 NODE 10 --> 7.07623529 sigma in 10act. ( 6.63684273 sig out 1act.) RANK 10 NODE 7 --> 5.74821472 sigma in 10act. ( 4.17857695 sig out 1act.) RANK 11 NODE 2 --> 4.92212343 sigma in 10act. ( 3.88317752 sig out 1act.) RANK 12 NODE 12 --> 3.74762726 sigma in 10act. ( 2.68377233 sig out 1act.) RANK 13 NODE 4 --> 2.55386806 sigma in 10act. ( 0.627907932 sig out 1act.) RANK 14 NODE 13 --> 2.43198633 sigma in 10act. ( 2.00886941 sig out 1act.) RANK 15 NODE 11 --> 0.907094777 sigma in 10act. ( 0.800213635 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 17.8167496 sigma out 1act.( 21.8344727 sig in 10act.) RANK 2 NODE 3 --> 12.3671589 sigma out 1act.( 12.0116529 sig in 10act.) RANK 3 NODE 5 --> 12.02316 sigma out 1act.( 12.7895718 sig in 10act.) RANK 4 NODE 9 --> 10.0063324 sigma out 1act.( 14.3925152 sig in 10act.) RANK 5 NODE 8 --> 9.3986578 sigma out 1act.( 11.3289318 sig in 10act.) RANK 6 NODE 1 --> 9.2119503 sigma out 1act.( 10.6233721 sig in 10act.) RANK 7 NODE 10 --> 6.63684273 sigma out 1act.( 7.07623529 sig in 10act.) RANK 8 NODE 6 --> 6.5323925 sigma out 1act.( 7.24206448 sig in 10act.) RANK 9 NODE 15 --> 5.77528286 sigma out 1act.( 7.71784735 sig in 10act.) RANK 10 NODE 7 --> 4.17857695 sigma out 1act.( 5.74821472 sig in 10act.) RANK 11 NODE 2 --> 3.88317752 sigma out 1act.( 4.92212343 sig in 10act.) RANK 12 NODE 12 --> 2.68377233 sigma out 1act.( 3.74762726 sig in 10act.) RANK 13 NODE 13 --> 2.00886941 sigma out 1act.( 2.43198633 sig in 10act.) RANK 14 NODE 11 --> 0.800213635 sigma out 1act.( 0.907094777 sig in 10act.) RANK 15 NODE 4 --> 0.627907932 sigma out 1act.( 2.55386806 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 32.4522285 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.606915951 *** contribution from regularisation: 0.00184925878 *** contribution from error: -0.608765185 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -53670.1864 -0.109907664 -5.20559835 EXIT FROM BFGS code FG_LNSRCH 0. -0.19738625 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.605810106 *** contribution from regularisation: 0.00348120183 *** contribution from error: -0.609291315 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53572.395 -0.19738625 5.27756262 EXIT FROM BFGS code FG_LNSRCH 0. -0.21829778 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.606973171 *** contribution from regularisation: 0.0023471457 *** contribution from error: -0.609320343 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53675.2445 -0.21829778 6.26688528 EXIT FROM BFGS code FG_LNSRCH 0. -0.218761161 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.606880605 *** contribution from regularisation: 0.00243970426 *** contribution from error: -0.609320283 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53667.0582 -0.218761161 6.19892216 EXIT FROM BFGS code FG_LNSRCH 0. -0.218762219 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.606888711 *** contribution from regularisation: 0.00243159151 *** contribution from error: -0.609320283 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53667.7755 -0.218762219 6.17586946 EXIT FROM BFGS code FG_LNSRCH 0. -0.218762219 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.60690558 *** contribution from regularisation: 0.00241471897 *** contribution from error: -0.609320283 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53669.2676 -0.218762219 6.21697474 EXIT FROM BFGS code FG_LNSRCH 0. -0.218762219 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.606880128 *** contribution from regularisation: 0.00244015851 *** contribution from error: -0.609320283 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53667.0179 -0.218762219 6.28059864 EXIT FROM BFGS code NEW_X -53667.0179 -0.218762219 6.28059864 ENTER BFGS code NEW_X -53667.0179 -0.218762219 6.28059864 EXIT FROM BFGS code CONVERGENC -53667.0179 -0.218762219 6.28059864 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 44.7615814 sigma out 15 active outputs RANK 2 NODE 1 --> 24.4242897 sigma out 15 active outputs RANK 3 NODE 8 --> 22.459959 sigma out 15 active outputs RANK 4 NODE 10 --> 20.3303776 sigma out 15 active outputs RANK 5 NODE 3 --> 16.4736118 sigma out 15 active outputs RANK 6 NODE 9 --> 15.3388195 sigma out 15 active outputs RANK 7 NODE 4 --> 13.980751 sigma out 15 active outputs RANK 8 NODE 6 --> 12.7793779 sigma out 15 active outputs RANK 9 NODE 7 --> 12.725214 sigma out 15 active outputs RANK 10 NODE 5 --> 11.9691324 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 36.4519539 sigma in 10act. ( 27.2487583 sig out 1act.) RANK 2 NODE 9 --> 27.0020695 sigma in 10act. ( 18.4020729 sig out 1act.) RANK 3 NODE 8 --> 22.7573147 sigma in 10act. ( 21.1027565 sig out 1act.) RANK 4 NODE 5 --> 21.8382301 sigma in 10act. ( 19.0375214 sig out 1act.) RANK 5 NODE 1 --> 19.9298267 sigma in 10act. ( 18.3980904 sig out 1act.) RANK 6 NODE 3 --> 19.0670166 sigma in 10act. ( 17.9660072 sig out 1act.) RANK 7 NODE 10 --> 13.52425 sigma in 10act. ( 11.7505836 sig out 1act.) RANK 8 NODE 15 --> 13.3566437 sigma in 10act. ( 11.4256468 sig out 1act.) RANK 9 NODE 6 --> 12.6703472 sigma in 10act. ( 10.8405571 sig out 1act.) RANK 10 NODE 7 --> 10.7194128 sigma in 10act. ( 8.28068733 sig out 1act.) RANK 11 NODE 2 --> 10.6954346 sigma in 10act. ( 9.52190685 sig out 1act.) RANK 12 NODE 12 --> 7.48144579 sigma in 10act. ( 6.6757412 sig out 1act.) RANK 13 NODE 4 --> 5.89085054 sigma in 10act. ( 4.39704514 sig out 1act.) RANK 14 NODE 13 --> 5.41750479 sigma in 10act. ( 4.15425301 sig out 1act.) RANK 15 NODE 11 --> 1.99236107 sigma in 10act. ( 1.0434252 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 27.2487583 sigma out 1act.( 36.4519539 sig in 10act.) RANK 2 NODE 8 --> 21.1027565 sigma out 1act.( 22.7573147 sig in 10act.) RANK 3 NODE 5 --> 19.0375214 sigma out 1act.( 21.8382301 sig in 10act.) RANK 4 NODE 9 --> 18.4020729 sigma out 1act.( 27.0020695 sig in 10act.) RANK 5 NODE 1 --> 18.3980904 sigma out 1act.( 19.9298267 sig in 10act.) RANK 6 NODE 3 --> 17.9660072 sigma out 1act.( 19.0670166 sig in 10act.) RANK 7 NODE 10 --> 11.7505836 sigma out 1act.( 13.52425 sig in 10act.) RANK 8 NODE 15 --> 11.4256468 sigma out 1act.( 13.3566437 sig in 10act.) RANK 9 NODE 6 --> 10.8405571 sigma out 1act.( 12.6703472 sig in 10act.) RANK 10 NODE 2 --> 9.52190685 sigma out 1act.( 10.6954346 sig in 10act.) RANK 11 NODE 7 --> 8.28068733 sigma out 1act.( 10.7194128 sig in 10act.) RANK 12 NODE 12 --> 6.6757412 sigma out 1act.( 7.48144579 sig in 10act.) RANK 13 NODE 4 --> 4.39704514 sigma out 1act.( 5.89085054 sig in 10act.) RANK 14 NODE 13 --> 4.15425301 sigma out 1act.( 5.41750479 sig in 10act.) RANK 15 NODE 11 --> 1.0434252 sigma out 1act.( 1.99236107 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 56.3717461 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.606861055 *** contribution from regularisation: 0.00245922199 *** contribution from error: -0.609320283 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done