NNInput NNInputs_165.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= 46955 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 = 10752 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 10752 Chosen entries: 10752 Signal fraction: 1 Background fraction: 0.296992 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 10752 Entries to split: 10752 Test with : 5376 Train with : 5376 ********************************************* * 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= 10752 for Signal Prepared event 0 for Signal with 10752 events ====Entry 0 Variable Ht : 152.782 Variable LepAPt : 43.1782 Variable LepBPt : 24.0552 Variable MetSigLeptonsJets : 10.4332 Variable MetSpec : 85.5483 Variable SumEtLeptonsJets : 67.2334 Variable VSumJetLeptonsPt : 67.0249 Variable addEt : 152.782 Variable dPhiLepSumMet : 2.86649 Variable dPhiLeptons : 0.164385 Variable dRLeptons : 0.373993 Variable lep1_E : 44.1675 Variable lep2_E : 27.7806 ===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 = 2165 Ht = 152.782 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 43.1782 LepAPt = 43.1782 LepBEt = 24.0552 LepBPt = 24.0552 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 85.5483 MetDelPhi = 2.80773 MetSig = 5.7991 MetSigLeptonsJets = 10.4332 MetSpec = 85.5483 Mjj = 0 MostCentralJetEta = 0 MtllMet = 155.779 Njets = 0 SB = 0 SumEt = 217.621 SumEtJets = 0 SumEtLeptonsJets = 67.2334 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 67.0249 addEt = 152.782 dPhiLepSumMet = 2.86649 dPhiLeptons = 0.164385 dRLeptons = 0.373993 diltype = 45 dimass = 12.0964 event = 1289 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.1675 lep2_E = 27.7806 rand = 0.999742 run = 237226 weight = 3.70333e-06 ===Show End Prepared event 10000 for Signal with 10752 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= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===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 = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.347005 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 883 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 46955 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 883 negative weights. Signal fraction: 62.2506676 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.8830566 63.065033 64.7374573 66.4408646 67.6829224 68.7311478 69.8066711 70.506012 71.3544769 72.0603714 72.7152405 73.3094864 73.9829941 74.4354858 75.0690384 75.6569061 76.2665863 76.8577499 77.3960571 77.9057617 78.3566437 78.870224 79.3957443 79.904953 80.6398239 81.1262283 81.816658 82.4303741 83.1699066 84.1072235 85.2046204 86.4835358 87.56073 88.6839905 90.1420135 91.7250824 93.2564926 94.9380493 96.9182892 98.7903671 100.995186 102.541443 104.728745 106.32827 107.970612 109.708366 111.737709 113.322372 115.128815 117.266136 118.955154 121.199127 123.413376 125.073242 127.286697 129.185181 131.363068 133.159027 134.946625 136.580795 138.479904 140.144409 141.923218 143.778793 145.697662 147.220032 148.660904 150.272797 151.806381 153.356903 154.633484 156.269531 157.994919 159.777206 161.25531 162.7798 164.681808 166.553864 168.729279 170.67099 172.982819 175.460312 177.987274 180.590714 184.060654 187.444519 190.232758 193.289581 196.64267 200.142426 204.395477 208.911377 214.715393 220.732605 227.539917 234.839722 245.955963 258.963196 277.046661 313.820374 488.958313 ------------------------------ Transdef: Tab for variable 3 20.0033321 20.2914581 20.586483 20.839304 21.1065102 21.3882484 21.5663567 21.7952309 21.9975529 22.2552948 22.4275417 22.6734734 22.8883076 23.0830402 23.2914162 23.5687256 23.7513752 23.8925171 24.1194305 24.3429699 24.5262775 24.7281189 24.9516258 25.1926079 25.4133301 25.5760956 25.7446899 25.9574375 26.1746979 26.3261242 26.5965309 26.7567711 26.9597549 27.1324883 27.3139496 27.5859795 27.8698101 28.0549622 28.2005882 28.4358139 28.67556 28.9551773 29.1670532 29.4298744 29.6987419 29.9565258 30.2463951 30.6029949 30.9508705 31.2822151 31.5603504 31.8439865 32.1745605 32.4959488 32.7888794 33.1099586 33.3849335 33.6916008 34.0204315 34.3877563 34.7634315 35.1043587 35.4066391 35.7523842 36.1451073 36.556015 36.9078064 37.2213974 37.5421753 37.8720894 38.2738152 38.6869125 39.0848923 39.4780083 39.9181252 40.2958069 40.6908836 41.0098991 41.4332352 41.8340759 42.2669716 42.7572098 43.2800751 43.7993736 44.328228 44.8497009 45.4864197 46.0928421 46.725769 47.3923569 47.9945145 48.7851181 49.5862923 50.6982117 51.9140854 53.2479706 55.2212296 57.6841202 60.6544304 65.4187012 142.871475 ------------------------------ Transdef: Tab for variable 4 10.0006418 10.0850143 10.1913643 10.3128338 10.4360971 10.5323849 10.6686935 10.7975674 10.9405813 11.0565796 11.1963806 11.3227596 11.4063759 11.5246906 11.7112999 11.836153 11.9731045 12.1039629 12.2978401 12.500761 12.6429577 12.7831373 12.9259472 13.0809402 13.2211504 13.4162636 13.5541983 13.7199831 13.8720932 14.0398197 14.2118883 14.3567104 14.5245905 14.7630692 14.9610605 15.1047783 15.2649574 15.4337826 15.6013632 15.8147707 16.0454712 16.2610397 16.4774437 16.7318859 16.9797688 17.2781639 17.5456791 17.7993946 18.0674477 18.3310242 18.6311951 18.9621468 19.2337189 19.4829464 19.7825928 20.039711 20.333786 20.6745453 21.0005989 21.3328896 21.6595955 21.9995499 22.4011364 22.7412987 23.1372299 23.5217648 23.9689255 24.3952103 24.797863 25.1926193 25.6408195 26.0338058 26.408535 26.8192101 27.2635574 27.681015 28.0925484 28.5093594 28.9166565 29.3177586 29.749958 30.1655197 30.5570889 31.0663433 31.4785042 31.8829002 32.2416611 32.7377396 33.1945457 33.7904434 34.4337006 35.0720482 35.7341347 36.4353142 37.2370377 38.1206856 39.3479881 40.8038368 43.0887375 47.1826401 67.5712662 ------------------------------ Transdef: Tab for variable 5 1.8314079 2.97441101 3.37671661 3.63171077 3.91077423 4.08390617 4.21493721 4.33517075 4.43694687 4.54128313 4.65018177 4.79110098 4.86479044 4.94597912 5.03409958 5.09680271 5.15841293 5.22141266 5.29198933 5.35782242 5.40624714 5.45495796 5.5072155 5.56620359 5.60579014 5.64768314 5.68967819 5.73046494 5.77896738 5.81954098 5.86826515 5.91746378 5.95777225 5.99692249 6.03223324 6.07445526 6.12105465 6.16840982 6.20380259 6.25150681 6.29531384 6.3396759 6.38463879 6.42681932 6.46866417 6.50677204 6.54710722 6.58932066 6.63264561 6.68157005 6.72837448 6.77232552 6.82389164 6.86017036 6.91664743 6.98110914 7.02999258 7.08615923 7.14819431 7.20665073 7.28051567 7.32576704 7.38862467 7.45555258 7.5197053 7.5977211 7.65971184 7.72768736 7.79421425 7.85257578 7.93209743 8.0054245 8.06632137 8.13739872 8.19519806 8.25933075 8.33553219 8.39734173 8.4647541 8.53587246 8.60175323 8.67324734 8.74655151 8.82594013 8.89585686 8.9618969 9.04157734 9.12748146 9.2243557 9.30895996 9.39437866 9.49980831 9.62974262 9.74979782 9.9403801 10.1153736 10.3617878 10.6412601 11.0226078 11.7007008 17.6986942 ------------------------------ Transdef: Tab for variable 6 25.0015602 25.82901 26.7755585 27.5973701 28.4491234 29.3343391 30.0256691 30.6984825 31.3521576 31.8556824 32.4210281 32.8496475 33.2344208 33.6574097 34.0618362 34.493988 34.7993011 35.1610565 35.5175247 35.9432335 36.2682381 36.6268806 36.8878975 37.1941681 37.4350662 37.7698555 38.0783005 38.464817 38.8277588 39.1324081 39.4434471 39.7183228 40.0895882 40.4372864 40.7838287 41.1279526 41.5016899 41.9481506 42.2606735 42.7028542 43.2107391 43.7014008 44.1830635 44.7297974 45.3524818 46.0772247 46.704483 47.4623375 48.3636322 49.0806046 49.9165802 50.7570877 51.755703 52.5493088 53.6098099 54.5937424 55.7070656 56.5234299 57.5608826 58.3191452 59.0741959 60.2123871 60.9967537 61.9898186 62.8848953 63.8510742 64.7965088 65.6867523 66.6830597 67.6779785 68.5738907 69.5729065 70.3915863 71.2263794 72.204895 73.0145416 73.8256149 74.6948853 75.6477509 76.5396194 77.4494095 78.3337402 79.2177887 80.2186737 81.2556915 82.1031494 83.1304169 84.1386261 85.3419571 86.5574341 87.982605 89.7740707 91.5808563 93.8031006 96.3593292 99.1502914 103.296509 108.885193 115.353477 126.4813 187.6884 ------------------------------ Transdef: Tab for variable 7 30.1895332 32.5477371 33.4313507 34.2264748 34.8550186 35.4102669 35.8289719 36.1494675 36.4536018 36.8318939 37.0916595 37.4502182 37.7127419 38.0391083 38.2838211 38.586956 38.8197937 39.0857658 39.3071823 39.5196838 39.7934303 40.1569519 40.4492836 40.7958488 41.0954056 41.3770332 41.7548065 41.9932861 42.3984146 42.9237671 43.5774002 44.1668777 44.8127441 45.4915657 46.3525543 47.3564301 48.1014633 49.03685 50.1658058 51.3400879 52.4875603 53.5072975 54.759346 55.7869644 56.7962761 57.5828857 58.5488739 59.3662949 60.4341698 61.453598 62.6222916 63.7984772 64.8134308 65.8724976 66.6777878 67.7299271 68.78965 69.8357544 70.6728745 71.7107239 72.8845367 73.7506027 74.5687485 75.5108795 76.5863419 77.3561554 78.1461639 79.1967773 80.1123962 81.1311798 82.3067703 83.3918152 84.820076 86.1042709 87.8433228 89.330307 91.119812 92.8057632 94.4751282 96.099884 98.2305298 99.9545746 102.094048 104.067184 105.812897 107.751785 110.014076 112.703537 115.519089 118.831161 122.855698 127.048004 131.947678 136.573242 142.85199 150.162674 159.571762 169.68219 186.256378 217.850876 339.925903 ------------------------------ Transdef: Tab for variable 8 7.51013899 26.6818085 29.9765663 31.2843399 32.0737534 32.8188896 33.4257584 33.875267 34.4132309 34.7758331 35.0682068 35.3429489 35.7018356 36.0018387 36.2297211 36.5066071 36.7986755 37.0663071 37.3809891 37.6011696 37.8095932 38.0256348 38.2168999 38.4371719 38.6657562 38.9651718 39.2377319 39.5318604 39.7874908 40.0601654 40.2705688 40.6146927 40.891098 41.3221169 41.5877991 41.9403 42.325779 42.818428 43.2985992 43.77005 44.3480835 44.8798447 45.4744873 46.1194229 46.7526131 47.4183426 48.1371765 48.8461761 49.6702271 50.482933 51.1256943 51.8766861 52.7839355 53.5046616 54.4234619 55.221241 56.0587502 56.7815552 57.5771942 58.3842239 59.1989517 59.931427 60.71772 61.5819092 62.5519333 63.3516121 64.2418365 64.8927917 65.6924286 66.3957138 67.2013092 67.9471588 68.8068619 69.6513672 70.2984848 71.075592 72.1485367 72.8782806 73.7217102 74.4647675 75.3002014 76.1667709 76.8964615 77.6380463 78.5041962 79.4815979 80.504715 81.6240234 82.7396393 84.1733093 85.6651688 87.7759628 90.0054626 92.2470245 94.6636963 97.967598 101.641693 105.952888 113.219696 127.430702 194.362274 ------------------------------ Transdef: Tab for variable 9 55.8830566 62.8713913 64.51371 66.0030518 67.1759491 68.3335571 69.1503143 70.1315308 70.6867523 71.3826447 72.0366058 72.6325073 73.1936951 73.6906128 74.2484741 74.714798 75.2914352 75.7515717 76.2665863 76.8095856 77.2816467 77.7543488 78.1430206 78.5823441 79.0447388 79.5280609 79.9703217 80.5738068 81.0523224 81.5848999 82.2079849 82.6873474 83.3737335 84.2428055 84.993988 86.114624 86.9198151 87.7248383 88.6855164 89.8398743 91.1702347 92.5014496 94.3422852 95.8180695 97.2920532 98.9026413 100.481659 102.244873 103.91703 105.512939 107.036919 108.614166 109.911987 111.554108 112.955963 114.386734 115.857803 117.54097 118.965935 120.268463 121.98613 123.741844 125.073242 126.615135 128.272522 129.748062 131.430618 132.819885 134.326874 135.625427 137.173096 138.730484 139.864685 141.436646 142.823151 144.217682 145.587891 147.053131 147.968262 149.22934 150.558289 151.745224 152.977448 154.024536 155.365204 156.387375 157.746033 159.096436 160.428986 161.884155 163.409958 164.932434 166.601059 168.488647 170.459091 172.671356 175.364761 178.376022 184.446701 198.120178 344.857483 ------------------------------ Transdef: Tab for variable 10 0.0879002884 1.17612982 1.49533582 1.70285296 1.85236669 1.96896577 2.0622716 2.13534403 2.20349646 2.25450325 2.30991364 2.35997581 2.40280056 2.44372988 2.48132777 2.51053214 2.53479719 2.56077003 2.587991 2.61363983 2.64399362 2.66642618 2.68497682 2.70206833 2.72209263 2.73841238 2.7557807 2.77575445 2.78729391 2.80133486 2.81414318 2.82363844 2.83527899 2.84805417 2.85894418 2.86638546 2.87787867 2.88813806 2.89598083 2.90564299 2.91319513 2.92063546 2.92808056 2.93649149 2.94487667 2.95098138 2.95827246 2.96386528 2.9704814 2.97650933 2.98196292 2.98715925 2.99110866 2.9953804 2.99994421 3.00541544 3.0105021 3.0153265 3.02038002 3.02350521 3.02775908 3.03181124 3.03540301 3.03895283 3.04298639 3.04630876 3.0502491 3.05440044 3.05780077 3.06148767 3.06431293 3.06733942 3.07042217 3.07353663 3.07595634 3.07891655 3.08205509 3.08495235 3.08745909 3.09056759 3.0933075 3.09579134 3.09862995 3.10113573 3.10348964 3.10581017 3.10883141 3.1114397 3.11405754 3.1162734 3.11812878 3.12058187 3.12304497 3.12571883 3.12817335 3.1308856 3.13319373 3.1352005 3.13737869 3.13929009 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00609683525 0.01126091 0.0174618959 0.0240595043 0.0304287113 0.0375694036 0.0456274748 0.0519129038 0.0603150129 0.0669049621 0.0754014254 0.0822591782 0.0897139311 0.0972330272 0.105132103 0.111706138 0.119952917 0.125757337 0.133648932 0.140886441 0.147609234 0.154311046 0.159760952 0.166317761 0.171817899 0.178222954 0.183529258 0.188496351 0.193713248 0.197501659 0.202343702 0.206265628 0.21038115 0.214650869 0.219014436 0.223922491 0.22901988 0.234809279 0.239334345 0.244628906 0.248733968 0.253296822 0.25748384 0.262145162 0.267230272 0.273183972 0.278088927 0.283030272 0.288132668 0.292819709 0.29856503 0.303024471 0.308945894 0.313914895 0.31860292 0.324647069 0.330898404 0.336836815 0.341657519 0.347989291 0.35419184 0.361053884 0.366632104 0.372693062 0.378883064 0.38508752 0.392415881 0.39952004 0.405972451 0.412191153 0.419252336 0.427705765 0.434759617 0.441117644 0.447853327 0.454444259 0.461961746 0.470597863 0.479549408 0.487650037 0.496606827 0.505226016 0.514533162 0.525149584 0.534371853 0.544762611 0.555252075 0.566655159 0.580389619 0.594898164 0.611355186 0.634058475 0.64969629 0.670492411 0.695269346 0.716936231 0.742529333 0.782703876 0.838726759 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.200035661 0.208445162 0.215651929 0.221712083 0.228237122 0.234921455 0.240652248 0.246284261 0.253417641 0.258480728 0.263400972 0.269252419 0.274913371 0.280142248 0.284945488 0.290229976 0.295511961 0.301510036 0.306282103 0.311517507 0.317139506 0.321929514 0.326533496 0.332447827 0.337618887 0.342988402 0.348416924 0.352710873 0.358753741 0.363500535 0.368176818 0.373018622 0.377684891 0.382994205 0.388687611 0.392909586 0.397074878 0.40120557 0.405282766 0.409296125 0.413298577 0.416523844 0.420319378 0.424425572 0.428420722 0.432822168 0.436927617 0.441184044 0.445704758 0.450195491 0.455469102 0.45932743 0.463590384 0.468219399 0.471964359 0.477093935 0.48215723 0.486388266 0.489779174 0.494337797 0.499291807 0.504651546 0.508831501 0.514331222 0.519802928 0.525144994 0.531454146 0.538231432 0.543387294 0.549236238 0.553496003 0.559605241 0.564426959 0.569968164 0.57616955 0.582134724 0.588810086 0.595342875 0.602290869 0.608094931 0.613987863 0.621725559 0.631042004 0.64030242 0.650447309 0.660691142 0.668602467 0.678913295 0.691260338 0.703824997 0.716318965 0.728870094 0.743398726 0.753996611 0.769041896 0.785801768 0.806790948 0.825081944 0.854683757 0.897900701 1.14129901 ------------------------------ Transdef: Tab for variable 13 20.0293255 21.6861038 22.5309944 23.1265182 23.7600002 24.5915146 25.1930809 25.7476501 26.2396755 26.8302174 27.2993393 27.7848282 28.1966667 28.5139771 28.9610405 29.2648964 29.6684265 30.1227016 30.5498009 30.8846016 31.3226738 31.7268581 32.0473518 32.4832726 32.8287811 33.2531738 33.610218 33.9745255 34.4158783 34.8056793 35.1748428 35.5438499 35.9178085 36.2775574 36.7078209 37.1129684 37.464592 37.8441963 38.222908 38.6129379 38.9737701 39.492836 39.9545822 40.3205757 40.6647949 40.9422951 41.362793 41.7276764 42.1720734 42.608345 43.0520248 43.4202042 43.8713646 44.2824974 44.8289452 45.2559395 45.6650085 46.2009392 46.6522217 46.9988556 47.4544525 47.9897957 48.4001846 48.7989922 49.1987991 49.6685104 50.2127686 50.7235374 51.3924637 51.9765396 52.5444183 53.3360405 54.0222931 54.5765762 55.1372757 55.8300209 56.5286713 57.3501358 58.1353951 59.0862999 60.1459656 61.0185013 61.9196587 62.7777328 64.1558838 65.2346649 66.5069122 67.9144897 69.348465 71.0935593 72.734726 74.6094513 76.5054932 78.0837555 80.2596588 83.3620148 87.0763931 91.663681 96.9297791 107.777565 225.703049 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.8890553 11.2935238 11.5523844 12.0000343 12.4715805 12.8516502 13.2152252 13.5025053 13.8380928 14.1024818 14.4459839 14.7676277 15.1014948 15.348279 15.6453915 15.8741894 16.2133102 16.5784035 16.8740997 17.26577 17.5935211 17.941494 18.2355881 18.5702744 18.8828106 19.2118874 19.5057869 19.90555 20.2906036 20.6334915 21.1122322 21.4628048 21.8199577 22.2144089 22.6554604 23.0319328 23.4498711 23.8023357 24.1438026 24.5397301 25.0106564 25.3897324 25.7580624 26.0563183 26.3811188 26.8008575 27.1647301 27.4923706 27.7710457 28.0955715 28.4224586 28.7868385 29.1599579 29.5594063 29.8985977 30.3224888 30.5901356 30.9814281 31.304081 31.6924629 32.0336037 32.4039154 32.7525101 33.0570831 33.4376678 33.8061676 34.223587 34.5719604 34.931282 35.2548523 35.6843834 36.0988693 36.5904427 37.0398865 37.5389938 37.9778938 38.4237213 38.9727554 39.3733559 39.9448013 40.4878883 40.9845047 41.5304222 42.1662331 42.8988495 43.5680695 44.3198929 44.9763184 45.9497452 46.8720245 48.1185722 49.645401 51.1230087 52.8431549 55.1645279 57.1624451 60.1977615 64.7606354 72.3205338 120.256287 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 70.6 56.5 58.2 41.0 59.8 67.5 62.4 70.5 -24.9 -17.8 -33.4 11.8 24.1 2 70.6 100.0 67.7 64.7 43.8 76.3 94.7 79.1 92.9 -42.1 -24.2 -44.1 23.3 31.9 3 56.5 67.7 100.0 53.2 16.6 41.3 71.5 57.7 73.1 -15.9 -25.1 -48.8 52.2 25.9 4 58.2 64.7 53.2 100.0 28.4 47.5 64.6 59.2 72.6 -9.2 -29.1 -56.0 17.9 64.9 5 41.0 43.8 16.6 28.4 100.0 85.2 18.3 61.0 61.9 20.4 -12.5 -18.5 -6.5 9.8 6 59.8 76.3 41.3 47.5 85.2 100.0 57.0 80.7 84.2 -9.9 -19.0 -31.7 6.0 20.8 7 67.5 94.7 71.5 64.6 18.3 57.0 100.0 72.3 82.7 -49.9 -21.9 -42.5 29.8 34.5 8 62.4 79.1 57.7 59.2 61.0 80.7 72.3 100.0 85.1 -12.0 -23.8 -40.2 20.2 31.5 9 70.5 92.9 73.1 72.6 61.9 84.2 82.7 85.1 100.0 -19.6 -27.3 -50.2 26.6 38.2 10 -24.9 -42.1 -15.9 -9.2 20.4 -9.9 -49.9 -12.0 -19.6 100.0 3.4 5.1 -3.9 -1.1 11 -17.8 -24.2 -25.1 -29.1 -12.5 -19.0 -21.9 -23.8 -27.3 3.4 100.0 54.9 3.2 -8.2 12 -33.4 -44.1 -48.8 -56.0 -18.5 -31.7 -42.5 -40.2 -50.2 5.1 54.9 100.0 -8.6 -21.4 13 11.8 23.3 52.2 17.9 -6.5 6.0 29.8 20.2 26.6 -3.9 3.2 -8.6 100.0 56.1 14 24.1 31.9 25.9 64.9 9.8 20.8 34.5 31.5 38.2 -1.1 -8.2 -21.4 56.1 100.0 TOTAL CORRELATION TO TARGET (diagonal) 181.721831 TOTAL CORRELATION OF ALL VARIABLES 77.6980275 ROUND 1: MAX CORR ( 77.696847) AFTER KILLING INPUT VARIABLE 2 CONTR 0.428315451 ROUND 2: MAX CORR ( 77.6913941) AFTER KILLING INPUT VARIABLE 11 CONTR 0.920497614 ROUND 3: MAX CORR ( 77.6747032) AFTER KILLING INPUT VARIABLE 8 CONTR 1.61034021 ROUND 4: MAX CORR ( 77.6619973) AFTER KILLING INPUT VARIABLE 6 CONTR 1.40488157 ROUND 5: MAX CORR ( 77.6052006) AFTER KILLING INPUT VARIABLE 14 CONTR 2.96962322 ROUND 6: MAX CORR ( 77.3298763) AFTER KILLING INPUT VARIABLE 10 CONTR 6.53126304 ROUND 7: MAX CORR ( 76.9529655) AFTER KILLING INPUT VARIABLE 12 CONTR 7.6256717 ROUND 8: MAX CORR ( 76.2759825) AFTER KILLING INPUT VARIABLE 13 CONTR 10.1849592 ROUND 9: MAX CORR ( 75.2236777) AFTER KILLING INPUT VARIABLE 9 CONTR 12.6263146 ROUND 10: MAX CORR ( 74.7151402) AFTER KILLING INPUT VARIABLE 3 CONTR 8.73209649 ROUND 11: MAX CORR ( 73.5738274) AFTER KILLING INPUT VARIABLE 4 CONTR 13.0093847 ROUND 12: MAX CORR ( 67.5320449) AFTER KILLING INPUT VARIABLE 5 CONTR 29.1981333 LAST REMAINING VARIABLE: 7 total correlation to target: 77.6980275 % total significance: 72.1378704 sigma correlations of single variables to target: variable 2: 70.5720442 % , in sigma: 65.5218303 variable 3: 56.4802189 % , in sigma: 52.4384317 variable 4: 58.2284915 % , in sigma: 54.0615959 variable 5: 41.0375873 % , in sigma: 38.100892 variable 6: 59.7844217 % , in sigma: 55.5061821 variable 7: 67.5320449 % , in sigma: 62.6993768 variable 8: 62.3906624 % , in sigma: 57.9259173 variable 9: 70.529816 % , in sigma: 65.482624 variable 10: -24.8968883 % , in sigma: 23.1152393 variable 11: -17.8410961 % , in sigma: 16.5643674 variable 12: -33.4366518 % , in sigma: 31.0438878 variable 13: 11.8318208 % , in sigma: 10.9851226 variable 14: 24.0788139 % , in sigma: 22.3557073 variables sorted by significance: 1 most relevant variable 7 corr 67.5320435 , in sigma: 62.6993754 2 most relevant variable 5 corr 29.1981335 , in sigma: 27.1086826 3 most relevant variable 4 corr 13.0093851 , in sigma: 12.0784191 4 most relevant variable 3 corr 8.73209667 , in sigma: 8.10721813 5 most relevant variable 9 corr 12.6263142 , in sigma: 11.7227611 6 most relevant variable 13 corr 10.1849594 , in sigma: 9.4561124 7 most relevant variable 12 corr 7.62567186 , in sigma: 7.07997031 8 most relevant variable 10 corr 6.53126287 , in sigma: 6.06387845 9 most relevant variable 14 corr 2.96962333 , in sigma: 2.75711378 10 most relevant variable 6 corr 1.4048816 , in sigma: 1.30434671 11 most relevant variable 8 corr 1.61034024 , in sigma: 1.4951025 12 most relevant variable 11 corr 0.920497596 , in sigma: 0.854625766 13 most relevant variable 2 corr 0.428315461 , in sigma: 0.397664731 global correlations between input variables: variable 2: 99.2157453 % variable 3: 91.7057504 % variable 4: 92.2168223 % variable 5: 95.2032793 % variable 6: 96.1048392 % variable 7: 98.7725125 % variable 8: 90.4205127 % variable 9: 98.7478728 % variable 10: 70.5852953 % variable 11: 56.3251018 % variable 12: 72.7006325 % variable 13: 85.3222498 % variable 14: 88.3768734 % significance loss when removing single variables: variable 2: corr = 0.428315451 % , sigma = 0.397664721 variable 3: corr = 15.11529 % , sigma = 14.033623 variable 4: corr = 14.510593 % , sigma = 13.4721989 variable 5: corr = 15.50685 % , sigma = 14.3971626 variable 6: corr = 1.76446261 % , sigma = 1.6381957 variable 7: corr = 9.77223185 % , sigma = 9.07292008 variable 8: corr = 1.60709396 % , sigma = 1.49208853 variable 9: corr = 9.17594523 % , sigma = 8.51930439 variable 10: corr = 5.80872308 % , sigma = 5.3930444 variable 11: corr = 0.891462246 % , sigma = 0.827668217 variable 12: corr = 6.5693007 % , sigma = 6.09919425 variable 13: corr = 4.89083552 % , sigma = 4.5408419 variable 14: corr = 2.90785837 % , sigma = 2.69976879 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 15.026536 sigma out 15 active outputs RANK 2 NODE 2 --> 10.2704639 sigma out 15 active outputs RANK 3 NODE 3 --> 10.1168232 sigma out 15 active outputs RANK 4 NODE 7 --> 9.80081749 sigma out 15 active outputs RANK 5 NODE 8 --> 9.70811367 sigma out 15 active outputs RANK 6 NODE 4 --> 9.51121426 sigma out 15 active outputs RANK 7 NODE 1 --> 9.11910057 sigma out 15 active outputs RANK 8 NODE 9 --> 8.35603619 sigma out 15 active outputs RANK 9 NODE 5 --> 7.83075333 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 12.8794918 sigma in 9act. ( 12.8640347 sig out 1act.) RANK 2 NODE 4 --> 11.6571465 sigma in 9act. ( 12.8845587 sig out 1act.) RANK 3 NODE 11 --> 11.6298866 sigma in 9act. ( 13.1175089 sig out 1act.) RANK 4 NODE 8 --> 9.27995777 sigma in 9act. ( 11.0214281 sig out 1act.) RANK 5 NODE 14 --> 8.55574894 sigma in 9act. ( 9.08519936 sig out 1act.) RANK 6 NODE 15 --> 8.53594017 sigma in 9act. ( 9.34381104 sig out 1act.) RANK 7 NODE 10 --> 8.29161167 sigma in 9act. ( 8.51183033 sig out 1act.) RANK 8 NODE 5 --> 7.90924358 sigma in 9act. ( 8.87861633 sig out 1act.) RANK 9 NODE 2 --> 6.32767344 sigma in 9act. ( 6.88719082 sig out 1act.) RANK 10 NODE 3 --> 5.47494364 sigma in 9act. ( 5.89027166 sig out 1act.) RANK 11 NODE 7 --> 4.34858131 sigma in 9act. ( 3.98809671 sig out 1act.) RANK 12 NODE 12 --> 4.22401714 sigma in 9act. ( 4.13541698 sig out 1act.) RANK 13 NODE 9 --> 4.01456785 sigma in 9act. ( 4.27455473 sig out 1act.) RANK 14 NODE 6 --> 1.72040474 sigma in 9act. ( 0.0846732408 sig out 1act.) RANK 15 NODE 1 --> 1.53043425 sigma in 9act. ( 1.16089666 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 13.1175089 sigma out 1act.( 11.6298866 sig in 9act.) RANK 2 NODE 4 --> 12.8845587 sigma out 1act.( 11.6571465 sig in 9act.) RANK 3 NODE 13 --> 12.8640347 sigma out 1act.( 12.8794918 sig in 9act.) RANK 4 NODE 8 --> 11.0214281 sigma out 1act.( 9.27995777 sig in 9act.) RANK 5 NODE 15 --> 9.34381104 sigma out 1act.( 8.53594017 sig in 9act.) RANK 6 NODE 14 --> 9.08519936 sigma out 1act.( 8.55574894 sig in 9act.) RANK 7 NODE 5 --> 8.87861633 sigma out 1act.( 7.90924358 sig in 9act.) RANK 8 NODE 10 --> 8.51183033 sigma out 1act.( 8.29161167 sig in 9act.) RANK 9 NODE 2 --> 6.88719082 sigma out 1act.( 6.32767344 sig in 9act.) RANK 10 NODE 3 --> 5.89027166 sigma out 1act.( 5.47494364 sig in 9act.) RANK 11 NODE 9 --> 4.27455473 sigma out 1act.( 4.01456785 sig in 9act.) RANK 12 NODE 12 --> 4.13541698 sigma out 1act.( 4.22401714 sig in 9act.) RANK 13 NODE 7 --> 3.98809671 sigma out 1act.( 4.34858131 sig in 9act.) RANK 14 NODE 1 --> 1.16089666 sigma out 1act.( 1.53043425 sig in 9act.) RANK 15 NODE 6 --> 0.0846732408 sigma out 1act.( 1.72040474 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 32.877449 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 6 --> 16.9644604 sigma out 15 active outputs RANK 2 NODE 2 --> 14.5499983 sigma out 15 active outputs RANK 3 NODE 8 --> 11.2996702 sigma out 15 active outputs RANK 4 NODE 1 --> 11.112359 sigma out 15 active outputs RANK 5 NODE 7 --> 11.0594378 sigma out 15 active outputs RANK 6 NODE 3 --> 10.6593695 sigma out 15 active outputs RANK 7 NODE 4 --> 10.6494837 sigma out 15 active outputs RANK 8 NODE 5 --> 9.80537224 sigma out 15 active outputs RANK 9 NODE 9 --> 9.59050179 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 13.8484001 sigma in 9act. ( 13.9147015 sig out 1act.) RANK 2 NODE 13 --> 13.4490023 sigma in 9act. ( 11.667304 sig out 1act.) RANK 3 NODE 4 --> 12.3988962 sigma in 9act. ( 11.3811102 sig out 1act.) RANK 4 NODE 8 --> 10.2531443 sigma in 9act. ( 10.6481409 sig out 1act.) RANK 5 NODE 5 --> 9.51601124 sigma in 9act. ( 9.02441502 sig out 1act.) RANK 6 NODE 14 --> 9.4767704 sigma in 9act. ( 8.56834221 sig out 1act.) RANK 7 NODE 10 --> 9.1183672 sigma in 9act. ( 7.46870852 sig out 1act.) RANK 8 NODE 15 --> 9.10094452 sigma in 9act. ( 8.55387974 sig out 1act.) RANK 9 NODE 2 --> 8.81727505 sigma in 9act. ( 7.15318394 sig out 1act.) RANK 10 NODE 7 --> 7.42660952 sigma in 9act. ( 4.54529905 sig out 1act.) RANK 11 NODE 3 --> 7.21895456 sigma in 9act. ( 5.26683903 sig out 1act.) RANK 12 NODE 6 --> 6.39334202 sigma in 9act. ( 1.15804541 sig out 1act.) RANK 13 NODE 1 --> 5.83632946 sigma in 9act. ( 1.46871078 sig out 1act.) RANK 14 NODE 12 --> 5.33294725 sigma in 9act. ( 3.72552252 sig out 1act.) RANK 15 NODE 9 --> 4.67882252 sigma in 9act. ( 3.24146819 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 13.9147015 sigma out 1act.( 13.8484001 sig in 9act.) RANK 2 NODE 13 --> 11.667304 sigma out 1act.( 13.4490023 sig in 9act.) RANK 3 NODE 4 --> 11.3811102 sigma out 1act.( 12.3988962 sig in 9act.) RANK 4 NODE 8 --> 10.6481409 sigma out 1act.( 10.2531443 sig in 9act.) RANK 5 NODE 5 --> 9.02441502 sigma out 1act.( 9.51601124 sig in 9act.) RANK 6 NODE 14 --> 8.56834221 sigma out 1act.( 9.4767704 sig in 9act.) RANK 7 NODE 15 --> 8.55387974 sigma out 1act.( 9.10094452 sig in 9act.) RANK 8 NODE 10 --> 7.46870852 sigma out 1act.( 9.1183672 sig in 9act.) RANK 9 NODE 2 --> 7.15318394 sigma out 1act.( 8.81727505 sig in 9act.) RANK 10 NODE 3 --> 5.26683903 sigma out 1act.( 7.21895456 sig in 9act.) RANK 11 NODE 7 --> 4.54529905 sigma out 1act.( 7.42660952 sig in 9act.) RANK 12 NODE 12 --> 3.72552252 sigma out 1act.( 5.33294725 sig in 9act.) RANK 13 NODE 9 --> 3.24146819 sigma out 1act.( 4.67882252 sig in 9act.) RANK 14 NODE 1 --> 1.46871078 sigma out 1act.( 5.83632946 sig in 9act.) RANK 15 NODE 6 --> 1.15804541 sigma out 1act.( 6.39334202 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 31.3674469 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.455866098 *** contribution from regularisation: 0.0118301455 *** contribution from error: -0.467696249 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.518799484 *** contribution from regularisation: 0.00741636287 *** contribution from error: -0.526215851 *********************************************** -----------------> Test sample ENTER BFGS code START -12182.203 -0.181755424 -0.17176646 EXIT FROM BFGS code FG_START 0. -0.181755424 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.543891966 *** contribution from regularisation: 0.00590165006 *** contribution from error: -0.549793601 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12768.9522 -0.181755424 -27.4606113 EXIT FROM BFGS code FG_LNSRCH 0. -0.208453894 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.581273139 *** contribution from regularisation: 0.00791431218 *** contribution from error: -0.589187443 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13646.549 -0.208453894 -36.3693199 EXIT FROM BFGS code NEW_X -13646.549 -0.208453894 -36.3693199 ENTER BFGS code NEW_X -13646.549 -0.208453894 -36.3693199 EXIT FROM BFGS code FG_LNSRCH 0. -0.265249342 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.588057876 *** contribution from regularisation: 0.00888673682 *** contribution from error: -0.59694463 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13805.8346 -0.265249342 -12.3372211 EXIT FROM BFGS code NEW_X -13805.8346 -0.265249342 -12.3372211 ENTER BFGS code NEW_X -13805.8346 -0.265249342 -12.3372211 EXIT FROM BFGS code FG_LNSRCH 0. -0.300016284 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.590590656 *** contribution from regularisation: 0.00861759018 *** contribution from error: -0.599208236 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13865.2962 -0.300016284 -1.26258719 EXIT FROM BFGS code NEW_X -13865.2962 -0.300016284 -1.26258719 ENTER BFGS code NEW_X -13865.2962 -0.300016284 -1.26258719 EXIT FROM BFGS code FG_LNSRCH 0. -0.322847188 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.591377199 *** contribution from regularisation: 0.0081073558 *** contribution from error: -0.599484563 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13883.7619 -0.322847188 11.6797533 EXIT FROM BFGS code NEW_X -13883.7619 -0.322847188 11.6797533 ENTER BFGS code NEW_X -13883.7619 -0.322847188 11.6797533 EXIT FROM BFGS code FG_LNSRCH 0. -0.327945948 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.591922879 *** contribution from regularisation: 0.00764988456 *** contribution from error: -0.599572778 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13896.5738 -0.327945948 6.36606693 EXIT FROM BFGS code NEW_X -13896.5738 -0.327945948 6.36606693 ENTER BFGS code NEW_X -13896.5738 -0.327945948 6.36606693 EXIT FROM BFGS code FG_LNSRCH 0. -0.362324744 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.591258347 *** contribution from regularisation: 0.00610481622 *** contribution from error: -0.597363174 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13880.9721 -0.362324744 6.12878704 EXIT FROM BFGS code FG_LNSRCH 0. -0.343210816 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 26.0770245 sigma out 15 active outputs RANK 2 NODE 1 --> 11.935895 sigma out 15 active outputs RANK 3 NODE 7 --> 9.06039333 sigma out 15 active outputs RANK 4 NODE 8 --> 8.332901 sigma out 15 active outputs RANK 5 NODE 4 --> 7.99742365 sigma out 15 active outputs RANK 6 NODE 6 --> 7.81339931 sigma out 15 active outputs RANK 7 NODE 3 --> 6.29723358 sigma out 15 active outputs RANK 8 NODE 5 --> 6.01034737 sigma out 15 active outputs RANK 9 NODE 9 --> 4.13100576 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 19.7114754 sigma in 9act. ( 19.7232647 sig out 1act.) RANK 2 NODE 8 --> 11.316226 sigma in 9act. ( 8.1195488 sig out 1act.) RANK 3 NODE 7 --> 10.0623016 sigma in 9act. ( 6.02283144 sig out 1act.) RANK 4 NODE 1 --> 9.8830719 sigma in 9act. ( 7.36674166 sig out 1act.) RANK 5 NODE 6 --> 9.75172138 sigma in 9act. ( 5.57565165 sig out 1act.) RANK 6 NODE 10 --> 7.8164773 sigma in 9act. ( 4.53670692 sig out 1act.) RANK 7 NODE 14 --> 7.66987419 sigma in 9act. ( 4.32457209 sig out 1act.) RANK 8 NODE 5 --> 7.66854668 sigma in 9act. ( 4.74124908 sig out 1act.) RANK 9 NODE 2 --> 7.16169453 sigma in 9act. ( 4.26774549 sig out 1act.) RANK 10 NODE 13 --> 6.26764917 sigma in 9act. ( 3.20343709 sig out 1act.) RANK 11 NODE 3 --> 5.42372799 sigma in 9act. ( 2.65488982 sig out 1act.) RANK 12 NODE 12 --> 5.29613447 sigma in 9act. ( 3.1517725 sig out 1act.) RANK 13 NODE 15 --> 4.97788763 sigma in 9act. ( 2.96565819 sig out 1act.) RANK 14 NODE 4 --> 4.49576187 sigma in 9act. ( 2.06058621 sig out 1act.) RANK 15 NODE 9 --> 3.07826877 sigma in 9act. ( 1.49978244 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 19.7232647 sigma out 1act.( 19.7114754 sig in 9act.) RANK 2 NODE 8 --> 8.1195488 sigma out 1act.( 11.316226 sig in 9act.) RANK 3 NODE 1 --> 7.36674166 sigma out 1act.( 9.8830719 sig in 9act.) RANK 4 NODE 7 --> 6.02283144 sigma out 1act.( 10.0623016 sig in 9act.) RANK 5 NODE 6 --> 5.57565165 sigma out 1act.( 9.75172138 sig in 9act.) RANK 6 NODE 5 --> 4.74124908 sigma out 1act.( 7.66854668 sig in 9act.) RANK 7 NODE 10 --> 4.53670692 sigma out 1act.( 7.8164773 sig in 9act.) RANK 8 NODE 14 --> 4.32457209 sigma out 1act.( 7.66987419 sig in 9act.) RANK 9 NODE 2 --> 4.26774549 sigma out 1act.( 7.16169453 sig in 9act.) RANK 10 NODE 13 --> 3.20343709 sigma out 1act.( 6.26764917 sig in 9act.) RANK 11 NODE 12 --> 3.1517725 sigma out 1act.( 5.29613447 sig in 9act.) RANK 12 NODE 15 --> 2.96565819 sigma out 1act.( 4.97788763 sig in 9act.) RANK 13 NODE 3 --> 2.65488982 sigma out 1act.( 5.42372799 sig in 9act.) RANK 14 NODE 4 --> 2.06058621 sigma out 1act.( 4.49576187 sig in 9act.) RANK 15 NODE 9 --> 1.49978244 sigma out 1act.( 3.07826877 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.4400597 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.588288248 *** contribution from regularisation: 0.0108283265 *** contribution from error: -0.599116564 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -13811.2429 -0.343210816 2.72093821 EXIT FROM BFGS code FG_LNSRCH 0. -0.3294743 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.58886385 *** contribution from regularisation: 0.0106974207 *** contribution from error: -0.599561274 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13824.7571 -0.3294743 5.03005457 EXIT FROM BFGS code FG_LNSRCH 0. -0.327973336 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.591417849 *** contribution from regularisation: 0.0081546288 *** contribution from error: -0.59957248 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13884.7175 -0.327973336 5.97589302 EXIT FROM BFGS code FG_LNSRCH 0. -0.327946007 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.590944886 *** contribution from regularisation: 0.00862791482 *** contribution from error: -0.599572778 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13873.6125 -0.327946007 5.85649872 EXIT FROM BFGS code FG_LNSRCH 0. -0.327945948 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.591110528 *** contribution from regularisation: 0.00846224185 *** contribution from error: -0.599572778 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13877.5021 -0.327945948 5.94995165 EXIT FROM BFGS code FG_LNSRCH 0. -0.327945948 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.591083884 *** contribution from regularisation: 0.00848890841 *** contribution from error: -0.599572778 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13876.8761 -0.327945948 5.96700382 EXIT FROM BFGS code FG_LNSRCH 0. -0.327945948 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.591024995 *** contribution from regularisation: 0.00854781456 *** contribution from error: -0.599572837 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13875.4931 -0.327945948 6.0479579 EXIT FROM BFGS code NEW_X -13875.4931 -0.327945948 6.0479579 ENTER BFGS code NEW_X -13875.4931 -0.327945948 6.0479579 EXIT FROM BFGS code CONVERGENC -13875.4931 -0.327945948 6.0479579 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 33.0044098 sigma out 15 active outputs RANK 2 NODE 1 --> 17.8870335 sigma out 15 active outputs RANK 3 NODE 7 --> 14.1447458 sigma out 15 active outputs RANK 4 NODE 6 --> 13.7400608 sigma out 15 active outputs RANK 5 NODE 4 --> 12.5796537 sigma out 15 active outputs RANK 6 NODE 8 --> 11.4644222 sigma out 15 active outputs RANK 7 NODE 5 --> 10.6986113 sigma out 15 active outputs RANK 8 NODE 3 --> 10.0736647 sigma out 15 active outputs RANK 9 NODE 9 --> 7.87194252 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 24.8508663 sigma in 9act. ( 24.9185028 sig out 1act.) RANK 2 NODE 7 --> 15.6160002 sigma in 9act. ( 10.0074492 sig out 1act.) RANK 3 NODE 8 --> 15.4769621 sigma in 9act. ( 12.4244938 sig out 1act.) RANK 4 NODE 6 --> 14.1075239 sigma in 9act. ( 10.0327177 sig out 1act.) RANK 5 NODE 14 --> 12.0537148 sigma in 9act. ( 8.68400002 sig out 1act.) RANK 6 NODE 1 --> 11.9095545 sigma in 9act. ( 10.9266872 sig out 1act.) RANK 7 NODE 10 --> 11.8893099 sigma in 9act. ( 8.60070324 sig out 1act.) RANK 8 NODE 5 --> 11.1206665 sigma in 9act. ( 9.82262325 sig out 1act.) RANK 9 NODE 2 --> 10.9541359 sigma in 9act. ( 8.71855927 sig out 1act.) RANK 10 NODE 13 --> 10.8053703 sigma in 9act. ( 7.71071577 sig out 1act.) RANK 11 NODE 3 --> 8.99176788 sigma in 9act. ( 6.71471977 sig out 1act.) RANK 12 NODE 15 --> 7.93556786 sigma in 9act. ( 6.92878866 sig out 1act.) RANK 13 NODE 4 --> 7.87972784 sigma in 9act. ( 6.73918962 sig out 1act.) RANK 14 NODE 12 --> 7.41199112 sigma in 9act. ( 5.6312089 sig out 1act.) RANK 15 NODE 9 --> 3.99340248 sigma in 9act. ( 2.94741631 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 24.9185028 sigma out 1act.( 24.8508663 sig in 9act.) RANK 2 NODE 8 --> 12.4244938 sigma out 1act.( 15.4769621 sig in 9act.) RANK 3 NODE 1 --> 10.9266872 sigma out 1act.( 11.9095545 sig in 9act.) RANK 4 NODE 6 --> 10.0327177 sigma out 1act.( 14.1075239 sig in 9act.) RANK 5 NODE 7 --> 10.0074492 sigma out 1act.( 15.6160002 sig in 9act.) RANK 6 NODE 5 --> 9.82262325 sigma out 1act.( 11.1206665 sig in 9act.) RANK 7 NODE 2 --> 8.71855927 sigma out 1act.( 10.9541359 sig in 9act.) RANK 8 NODE 14 --> 8.68400002 sigma out 1act.( 12.0537148 sig in 9act.) RANK 9 NODE 10 --> 8.60070324 sigma out 1act.( 11.8893099 sig in 9act.) RANK 10 NODE 13 --> 7.71071577 sigma out 1act.( 10.8053703 sig in 9act.) RANK 11 NODE 15 --> 6.92878866 sigma out 1act.( 7.93556786 sig in 9act.) RANK 12 NODE 4 --> 6.73918962 sigma out 1act.( 7.87972784 sig in 9act.) RANK 13 NODE 3 --> 6.71471977 sigma out 1act.( 8.99176788 sig in 9act.) RANK 14 NODE 12 --> 5.6312089 sigma out 1act.( 7.41199112 sig in 9act.) RANK 15 NODE 9 --> 2.94741631 sigma out 1act.( 3.99340248 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 40.6908226 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.590894938 *** contribution from regularisation: 0.00867786817 *** contribution from error: -0.599572778 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done