NNInput NNInputs_180.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= 43707 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 = 7504 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 7504 Chosen entries: 7504 Signal fraction: 1 Background fraction: 0.207276 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 7504 Entries to split: 7504 Test with : 3752 Train with : 3752 ********************************************* * 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= 7504 for Signal Prepared event 0 for Signal with 7504 events ====Entry 0 Variable Ht : 137.581 Variable LepAPt : 20.8506 Variable LepBPt : 20.1547 Variable MetSigLeptonsJets : 7.35252 Variable MetSpec : 63.3482 Variable SumEtLeptonsJets : 74.2329 Variable VSumJetLeptonsPt : 70.7309 Variable addEt : 104.353 Variable dPhiLepSumMet : 2.94424 Variable dPhiLeptons : 0.366057 Variable dRLeptons : 0.600748 Variable lep1_E : 44.8573 Variable lep2_E : 29.3863 ===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 = 2180 Ht = 137.581 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8506 LepAPt = 20.8506 LepBEt = 20.1547 LepBPt = 20.1547 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 63.3482 MetDelPhi = 2.75807 MetSig = 5.10825 MetSigLeptonsJets = 7.35252 MetSpec = 63.3482 Mjj = 0 MostCentralJetEta = -1.0573 MtllMet = 123.28 Njets = 1 SB = 0 SumEt = 153.789 SumEtJets = 0 SumEtLeptonsJets = 74.2329 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 70.731 addEt = 104.353 dPhiLepSumMet = 2.94424 dPhiLeptons = 0.366057 dRLeptons = 0.600748 diltype = 46 dimass = 12.3634 event = 1057 jet1_Et = 33.2276 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.8573 lep2_E = 29.3863 rand = 0.999742 run = 167186 weight = 2.6254e-06 ===Show End 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 = 0.242263 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 921 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 43707 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 921 negative weights. Signal fraction: 62.5366516 % ------------------------------ 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 62.5414734 64.3771515 66.1149292 67.4826965 68.4694824 69.578186 70.4617004 71.0237503 71.74897 72.4719467 73.194519 73.8348541 74.2187653 74.7761536 75.3913727 75.8608398 76.4711761 77.1477966 77.7273712 78.2222443 78.8705826 79.3698196 79.8430634 80.4393463 81.1147995 81.8448944 82.6873474 83.5258331 84.4137115 85.4903259 86.6807251 87.697197 88.8304901 90.3679428 92.1690826 94.0599976 96.1589279 97.7725754 99.1268311 101.058075 103.055847 104.739365 106.282692 108.776093 110.990334 112.659866 114.967789 117.048508 119.22377 121.593468 123.233429 125.056831 127.027885 128.638184 130.500732 132.541992 134.270599 136.185379 138.020096 139.346344 140.771606 142.280945 143.752686 145.607941 147.542572 148.989594 150.570129 152.544876 154.480515 156.41095 158.080597 159.838501 161.447357 163.367935 165.633728 167.061203 169.252609 171.517242 173.580658 176.074554 177.915115 180.872147 183.373535 186.590729 189.510315 192.746902 195.909927 199.20163 203.948456 208.617096 214.046036 219.85614 224.596359 232.628265 240.289154 249.176483 263.9599 287.058533 320.956482 625.246765 ------------------------------ Transdef: Tab for variable 3 20.001255 20.3576584 20.642128 20.9018402 21.168047 21.4574776 21.6884499 21.8901119 22.0796013 22.2913551 22.5048828 22.7258682 22.9386482 23.1835289 23.3877182 23.6022491 23.8019066 23.9740601 24.1925697 24.4062366 24.5884571 24.7732468 24.9664536 25.2004166 25.4115105 25.6143303 25.7661648 25.9939251 26.211525 26.4095287 26.6470089 26.8352623 27.0464001 27.2742271 27.5275383 27.8190994 28.0696754 28.2444229 28.5081253 28.7558975 28.9962082 29.2326908 29.5344276 29.7789593 30.0485687 30.3452682 30.6820946 31.0138435 31.2790184 31.6236916 31.9231911 32.2073517 32.5213089 32.9016342 33.206192 33.5542297 33.9832382 34.4099045 34.8442383 35.1891327 35.5442314 36.0064163 36.4622955 36.8816185 37.4202881 37.9169922 38.3858757 38.7755966 39.2942581 39.7682571 40.1669083 40.5544662 41.0960541 41.5409317 41.9488983 42.4958458 43.0090675 43.5758057 44.1732025 44.8405151 45.4050522 46.0114288 46.576786 47.2794113 48.0496292 48.7758942 49.6123886 50.3602142 51.4415283 52.3401337 53.4178848 54.4131775 55.4168243 56.5507011 57.9889603 59.6187515 61.3299942 63.1994781 66.4946594 72.7507095 151.031479 ------------------------------ Transdef: Tab for variable 4 10.0014067 10.0845289 10.1893864 10.3113441 10.4029598 10.4929943 10.6265182 10.7749758 10.8687172 10.9734058 11.0859375 11.227725 11.3438072 11.459836 11.5764093 11.7141476 11.8467331 12.0039387 12.1015959 12.2814245 12.4095058 12.5564775 12.6848278 12.8137178 12.9774561 13.1490021 13.3098545 13.4702244 13.6125603 13.7661076 13.9342251 14.1532459 14.2734947 14.4059963 14.5882158 14.8092098 15.0161381 15.1750727 15.3726082 15.5567226 15.7775002 15.9743099 16.245369 16.4428883 16.6795464 16.8892097 17.1495018 17.3962231 17.7367573 17.9774933 18.2388515 18.4469585 18.7535019 19.0381317 19.2693596 19.53195 19.7944183 20.0970192 20.3316803 20.6080647 20.8494358 21.1698875 21.4517212 21.7325687 21.9726429 22.2858047 22.535471 22.8273392 23.1537266 23.430666 23.7543678 24.0099373 24.3780785 24.6863785 25.0057678 25.3097839 25.6477222 25.9319649 26.206974 26.5657482 26.862484 27.2028294 27.5039787 27.8378143 28.1403999 28.5870209 29.000515 29.3913078 29.8257275 30.2777863 30.8243828 31.5419083 32.1227264 32.7760811 33.5994568 34.6435165 35.4341812 36.7899704 38.9499512 42.4528809 77.2990036 ------------------------------ Transdef: Tab for variable 5 1.79273057 2.98945928 3.36874771 3.6898489 3.91018581 4.09422493 4.24496031 4.37237549 4.48116589 4.58105326 4.68660164 4.77092171 4.87342262 4.94890881 5.01426554 5.09509277 5.15841293 5.21667671 5.27247429 5.33236933 5.39021206 5.44394302 5.48600864 5.54475021 5.5889473 5.62519169 5.67093229 5.72668171 5.78182602 5.82310486 5.87962341 5.92222023 5.95489311 5.99592495 6.04078531 6.0758009 6.11557102 6.16221905 6.20026875 6.24900341 6.29800892 6.33224058 6.38942051 6.4343586 6.46888924 6.51270103 6.5566349 6.60853291 6.6639595 6.71230936 6.76999283 6.83236885 6.87426758 6.91944075 6.97238827 7.02555275 7.06839752 7.13517046 7.18059731 7.2462616 7.30465364 7.36822033 7.441257 7.49278641 7.55814457 7.61300039 7.67931223 7.75088692 7.80212212 7.86267614 7.92149687 7.98268318 8.05057526 8.11512756 8.19025421 8.25768185 8.3305645 8.41022396 8.48035431 8.57284832 8.65171814 8.73849773 8.81176758 8.90384674 8.9899435 9.09033108 9.16907692 9.24794102 9.35058403 9.45568752 9.54374313 9.64848518 9.7960453 9.95648766 10.1140966 10.2747726 10.5545883 10.87677 11.358366 11.9329472 21.7385216 ------------------------------ Transdef: Tab for variable 6 25.000145 25.8565006 26.7208958 27.5888176 28.2767563 29.1364517 29.8636169 30.5638313 31.0887985 31.5993595 32.166748 32.5865021 32.991333 33.3626862 33.8639145 34.2994308 34.6864052 35.0466766 35.4103622 35.8179893 36.2080765 36.5405502 36.839962 37.1926575 37.4831619 37.8373222 38.1679993 38.5248108 38.8950806 39.2692719 39.5099182 40.0008621 40.3842506 40.7111397 41.0258179 41.3559914 41.6779022 42.1603432 42.5235863 43.0849762 43.5602913 44.0008774 44.5734749 45.2327957 45.9775925 46.6734695 47.4607544 48.2474136 48.9103737 49.9544487 50.7197914 51.4896545 52.2712173 53.2750244 54.1783371 55.0509415 56.0276451 56.8871613 57.7196808 58.6150436 59.6130867 60.4056549 61.3491783 62.3110123 63.2938766 64.3038406 65.1248322 65.9191132 66.9911957 67.9332275 68.8796921 69.7641296 70.6161194 71.4758759 72.3548584 73.3848724 74.2867737 75.2532806 76.2545471 77.4432678 78.5312653 79.3759308 80.3179474 81.6006165 82.6715851 83.716713 85.0329895 86.0892639 87.1439056 88.7569275 90.6478882 92.3395157 94.087204 96.2506866 99.5166397 102.934532 107.23745 112.133331 119.743332 135.059235 204.585419 ------------------------------ Transdef: Tab for variable 7 30.3242874 32.7163773 33.4971619 34.019165 34.6291313 35.1599808 35.5564957 35.9133377 36.2572098 36.608181 36.9356308 37.2154007 37.5138931 37.7924042 38.1574631 38.3688278 38.7025146 38.9780655 39.2407455 39.4163589 39.6774216 40.0340805 40.3905754 40.6996613 41.0258179 41.3719254 41.7095947 42.0093689 42.4681778 42.957283 43.477417 44.1467171 44.7205887 45.4378128 46.1602745 47.1337051 48.2744675 49.3929749 50.7936287 51.7543716 53.0351143 53.9689636 55.3647728 56.4545593 57.490921 58.3077774 59.3041916 60.359848 61.6254539 62.5870171 63.6232834 64.5986557 65.5769196 66.5603943 67.4195862 68.3759079 69.451355 70.3360443 71.3880157 72.4471436 73.5227814 74.4613953 75.6845703 76.5298233 77.2630005 78.118988 79.2420044 80.1667633 81.2790527 82.5172729 83.5237122 84.779686 85.9680481 87.2056427 88.5901642 90.4271545 92.3082199 93.8711853 95.3024368 97.3833008 99.0811157 101.26725 103.483994 105.497963 107.507462 109.988708 113.217972 115.317566 118.326294 121.643578 125.365257 128.796844 133.211655 138.631409 145.230621 153.044861 159.655731 170.581665 184.501709 213.224884 400.692963 ------------------------------ Transdef: Tab for variable 8 0.678276479 26.4780884 30.3966484 31.6698112 32.348999 32.9783173 33.5424271 33.9065132 34.4187813 34.7501755 35.0672684 35.3172913 35.6444931 35.8802643 36.1779785 36.4752426 36.6930084 36.9955444 37.2803421 37.5290146 37.7236099 37.9513626 38.1904488 38.4821014 38.7687111 39.090065 39.3492432 39.7238159 39.9955139 40.261528 40.5528679 40.7903748 41.1708374 41.5011368 41.7754059 42.1342392 42.4874802 43.048317 43.4112396 43.9157219 44.5118103 45.125267 45.6376419 46.262764 46.9404373 47.771637 48.6706314 49.5268898 50.2749023 51.0421257 51.7641258 52.5193214 53.2331696 54.0137482 54.8724289 55.7881088 56.5180702 57.2190819 57.8915329 58.8060951 59.4855652 60.5190659 61.2906189 62.118927 62.9222755 63.6616974 64.4831009 65.2408447 65.9255981 66.5884857 67.3964691 68.2336121 69.091217 69.9922333 70.8577881 71.6776276 72.5250092 73.3293915 74.1681824 74.9738312 75.7788544 76.7915344 77.5206757 78.7197647 79.6573868 80.7753754 81.8756104 83.118988 84.394577 85.5831299 87.1105652 89.0637741 91.0374603 93.318924 96.4760437 100.747971 105.321693 111.938644 120.161652 133.536774 251.591461 ------------------------------ Transdef: Tab for variable 9 55.8830566 62.2061043 63.9564667 65.5595932 67.1295166 67.9851227 68.9715118 70.0355682 70.6381149 71.2021637 71.8555298 72.5061798 73.1183929 73.6737518 74.0539093 74.4966431 75.0466309 75.6559143 76.1108856 76.6924667 77.2209854 77.7307434 78.1518707 78.5951843 79.2032623 79.6192398 80.1320877 80.6994781 81.2336884 81.8115921 82.487442 83.196579 83.9094772 84.6258011 85.4943695 86.5371246 87.3475571 88.2920685 89.3402557 90.4578629 91.9417725 93.3230133 95.0301361 96.421814 97.9115295 99.0456467 100.717346 102.334709 104.109833 105.469559 107.324921 109.141319 110.921181 112.382454 114.26902 115.91993 117.430672 119.436005 121.190109 122.68335 124.21553 125.469635 126.686493 127.848145 129.262924 130.690674 132.248444 133.520081 134.974167 136.629578 137.957336 139.199753 140.570068 141.674408 143.123154 144.308258 145.657654 147.131531 148.483978 149.708588 151.058319 152.46933 154.119202 155.632706 156.912582 158.419037 159.880188 161.246155 162.95665 164.666931 166.309174 168.348206 170.573151 172.537689 174.510559 176.777878 179.639374 184.996887 189.995132 202.006531 344.857483 ------------------------------ Transdef: Tab for variable 10 0.0503301173 1.20254123 1.51883745 1.69961798 1.85389113 1.96900821 2.05017924 2.14207411 2.20329285 2.26403618 2.31831932 2.36007261 2.39930725 2.44397736 2.47329068 2.50749612 2.53329182 2.5651083 2.59229469 2.61458397 2.64264154 2.66407752 2.68214846 2.70758677 2.7252667 2.74294519 2.75799179 2.77653956 2.79190969 2.80528998 2.81695461 2.82948589 2.83959651 2.85100508 2.86205244 2.87008882 2.87917948 2.89030838 2.89908409 2.90781522 2.91571474 2.92300558 2.93023586 2.9366014 2.94256949 2.94956756 2.95637584 2.96168375 2.96724176 2.97317648 2.97833109 2.98359203 2.98799324 2.99263477 2.99806833 3.0027585 3.00668478 3.01057482 3.01509404 3.01966524 3.02286482 3.02690268 3.0310173 3.03410387 3.03763676 3.04160643 3.0451808 3.04828358 3.05177355 3.05533552 3.0586803 3.06173825 3.06521463 3.0685842 3.0716095 3.0747211 3.07724619 3.08047628 3.08321714 3.08662033 3.08956861 3.09270096 3.09537506 3.09828043 3.1008122 3.10352993 3.10665059 3.10929751 3.11195993 3.1145277 3.11644459 3.11841297 3.1211741 3.12427092 3.12650132 3.1295836 3.13210487 3.13433504 3.13704443 3.13928843 3.14156938 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.00619530678 0.0110707916 0.0167729985 0.0235065892 0.029127121 0.0348550081 0.0416228771 0.0489930511 0.0569845438 0.0647678375 0.0720658004 0.0778300762 0.0859261751 0.0918735862 0.0995101929 0.108068526 0.115181506 0.121505737 0.128301203 0.136792183 0.143877506 0.151585877 0.157969385 0.163591892 0.169989079 0.175058365 0.180283666 0.186629236 0.193881065 0.199511766 0.202926427 0.207137465 0.211911067 0.216245145 0.220316857 0.22523737 0.228946984 0.233149916 0.238531113 0.243840352 0.249180824 0.254619539 0.259458959 0.264890164 0.269941509 0.27554962 0.279849827 0.285175979 0.289660931 0.294865489 0.299306273 0.304548711 0.309989929 0.315632939 0.321030855 0.327317417 0.334168166 0.339311749 0.344148278 0.350959182 0.356179148 0.361777544 0.36676541 0.372588426 0.379002929 0.387476265 0.394071221 0.401629746 0.408382446 0.415324688 0.423208714 0.429940701 0.436942309 0.445028186 0.452618241 0.459516108 0.466905594 0.474611044 0.483873963 0.49255231 0.499126256 0.505368233 0.515829027 0.524328291 0.535539508 0.545388699 0.557055235 0.569639564 0.580847979 0.594114542 0.606965184 0.626687229 0.644486547 0.667037725 0.68915993 0.710257292 0.742529333 0.783583283 0.85148257 1.06944168 ------------------------------ Transdef: Tab for variable 12 0.200112194 0.208302706 0.217175364 0.22505115 0.23153086 0.238428682 0.243396387 0.249555334 0.254920006 0.260136604 0.265741438 0.271339357 0.276732296 0.281579435 0.287835062 0.293245137 0.298277676 0.303236544 0.307230055 0.31329751 0.317885935 0.322200596 0.326727748 0.331160307 0.33680436 0.34174782 0.345839977 0.350342512 0.355605423 0.36063832 0.364470005 0.369291067 0.37370193 0.380030155 0.385423988 0.389973819 0.39446485 0.399187863 0.403648764 0.408201575 0.413421392 0.417067826 0.42102772 0.42517978 0.429600775 0.43320471 0.437149793 0.441016495 0.445093304 0.448813409 0.452663898 0.457449734 0.46175468 0.466551721 0.470484138 0.474606335 0.479000151 0.484182775 0.48903513 0.493189156 0.49776417 0.502463222 0.505929947 0.510813653 0.516988099 0.522901416 0.528217196 0.534255266 0.539543033 0.544822574 0.551440477 0.557737827 0.563126922 0.567999482 0.574558616 0.581201851 0.586960793 0.593568921 0.599398732 0.606708825 0.614243209 0.621993065 0.631093502 0.640070915 0.649043083 0.659848332 0.669095039 0.679634213 0.690831065 0.702243507 0.714859605 0.725379825 0.740692794 0.754447043 0.772610784 0.793386877 0.810563207 0.836759925 0.867061019 0.904627681 1.13498271 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.6101532 22.6544533 23.2635155 23.8359547 24.6534901 25.240263 25.7079124 26.0681496 26.595665 26.9935722 27.367815 27.8367233 28.2834435 28.5835323 29.0224457 29.3263283 29.7597046 30.1213531 30.7048416 31.048336 31.4764023 31.8119278 32.2462425 32.7119827 33.1463928 33.4845886 33.9482956 34.367424 34.8138046 35.2355804 35.7423096 36.2621765 36.7791977 37.2138596 37.7146149 38.2637253 38.7365952 39.2882881 39.7086105 40.0608749 40.6023331 40.9468689 41.4866562 42.0260811 42.4939423 43.0383072 43.4920692 43.9429703 44.5067673 45.0192871 45.5468979 46.0182915 46.4492722 46.9612045 47.4468918 48.0054665 48.4710426 49.0389977 49.4834442 50.1031952 50.6330948 51.0636406 51.8301163 52.4814224 53.04105 53.7717476 54.3149872 55.0089951 55.8183899 56.3800888 57.0370712 57.7798347 58.5676384 59.2659378 60.0733337 60.6917419 61.2279663 62.185936 63.0201302 63.9511147 65.2292175 66.4411621 67.2821884 68.2350464 69.4462128 70.5865479 72.1520386 73.5921783 75.0551376 76.6551132 78.4031754 80.7288818 82.9662552 85.8384552 89.0641632 92.055069 95.5714417 103.706558 117.003418 216.87648 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.9234123 11.3169003 11.6376133 11.959938 12.4060326 12.7208138 13.0437498 13.431447 13.6840382 14.0040321 14.2957945 14.569622 14.841774 15.120203 15.4504681 15.7380161 16.052496 16.2934189 16.6355209 16.8672066 17.1704311 17.5075264 17.807827 18.1110954 18.4166145 18.6717358 18.9803658 19.2920494 19.7312927 20.0873928 20.3832245 20.6456108 20.9190369 21.2648697 21.5182571 21.7956715 22.1884079 22.4786034 22.9350185 23.2434921 23.5650635 23.799221 24.0952072 24.3910122 24.700943 25.0237522 25.3898048 25.6472588 25.930069 26.2599773 26.5752106 26.8773232 27.1119461 27.4840469 27.7446156 28.0419464 28.3650684 28.654541 28.9730358 29.2731991 29.6301155 29.9056435 30.1317043 30.4613113 30.7662239 31.1057281 31.4211197 31.7893448 32.1905441 32.5511818 32.7994804 33.2425423 33.7119598 34.1453743 34.5297813 34.9218445 35.3544235 35.7500839 36.240078 36.7354507 37.1487198 37.6383743 38.2698288 38.9095306 39.538517 40.3633575 41.1533585 42.074131 42.7886124 43.9586258 44.7856255 45.9660225 47.548111 49.0749207 51.2073059 53.6054382 56.6608047 61.0504532 69.4275513 122.221924 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 70.8 57.6 55.6 41.1 60.0 67.6 62.2 70.3 -25.4 -17.3 -31.9 16.5 18.3 2 70.8 100.0 68.6 60.0 46.4 78.1 94.6 80.5 93.2 -42.5 -23.8 -41.4 28.7 25.4 3 57.6 68.6 100.0 48.3 22.6 46.1 71.3 61.2 75.4 -14.3 -25.8 -46.8 57.6 20.6 4 55.6 60.0 48.3 100.0 22.9 42.5 61.2 53.9 65.3 -10.6 -27.6 -51.0 17.4 60.9 5 41.1 46.4 22.6 22.9 100.0 85.9 20.3 61.6 64.1 17.9 -9.6 -16.6 1.4 3.5 6 60.0 78.1 46.1 42.5 85.9 100.0 58.7 81.4 85.7 -11.2 -17.4 -30.3 13.9 14.1 7 67.6 94.6 71.3 61.2 20.3 58.7 100.0 73.9 82.8 -50.6 -23.2 -40.5 32.9 28.7 8 62.2 80.5 61.2 53.9 61.6 81.4 73.9 100.0 85.8 -13.9 -24.5 -38.7 25.7 23.5 9 70.3 93.2 75.4 65.3 64.1 85.7 82.8 85.8 100.0 -20.7 -26.3 -46.7 33.5 29.2 10 -25.4 -42.5 -14.3 -10.6 17.9 -11.2 -50.6 -13.9 -20.7 100.0 4.4 6.3 -4.0 -2.1 11 -17.3 -23.8 -25.8 -27.6 -9.6 -17.4 -23.2 -24.5 -26.3 4.4 100.0 56.7 -1.3 -5.7 12 -31.9 -41.4 -46.8 -51.0 -16.6 -30.3 -40.5 -38.7 -46.7 6.3 56.7 100.0 -10.6 -15.6 13 16.5 28.7 57.6 17.4 1.4 13.9 32.9 25.7 33.5 -4.0 -1.3 -10.6 100.0 54.6 14 18.3 25.4 20.6 60.9 3.5 14.1 28.7 23.5 29.2 -2.1 -5.7 -15.6 54.6 100.0 TOTAL CORRELATION TO TARGET (diagonal) 180.708531 TOTAL CORRELATION OF ALL VARIABLES 77.5604172 ROUND 1: MAX CORR ( 77.5529801) AFTER KILLING INPUT VARIABLE 11 CONTR 1.07405194 ROUND 2: MAX CORR ( 77.5376126) AFTER KILLING INPUT VARIABLE 6 CONTR 1.54381366 ROUND 3: MAX CORR ( 77.5169115) AFTER KILLING INPUT VARIABLE 8 CONTR 1.79158746 ROUND 4: MAX CORR ( 77.4517615) AFTER KILLING INPUT VARIABLE 2 CONTR 3.17745331 ROUND 5: MAX CORR ( 77.3596471) AFTER KILLING INPUT VARIABLE 13 CONTR 3.77628958 ROUND 6: MAX CORR ( 77.1030833) AFTER KILLING INPUT VARIABLE 10 CONTR 6.29520052 ROUND 7: MAX CORR ( 76.8128542) AFTER KILLING INPUT VARIABLE 12 CONTR 6.6836283 ROUND 8: MAX CORR ( 76.1524285) AFTER KILLING INPUT VARIABLE 14 CONTR 10.0509803 ROUND 9: MAX CORR ( 75.0874416) AFTER KILLING INPUT VARIABLE 9 CONTR 12.6912753 ROUND 10: MAX CORR ( 74.5222992) AFTER KILLING INPUT VARIABLE 3 CONTR 9.19515195 ROUND 11: MAX CORR ( 73.1187135) AFTER KILLING INPUT VARIABLE 4 CONTR 14.3953743 ROUND 12: MAX CORR ( 67.5664265) AFTER KILLING INPUT VARIABLE 5 CONTR 27.9486007 LAST REMAINING VARIABLE: 7 total correlation to target: 77.5604172 % total significance: 60.0364052 sigma correlations of single variables to target: variable 2: 70.7672096 % , in sigma: 54.7780559 variable 3: 57.5606379 % , in sigma: 44.5553789 variable 4: 55.6359104 % , in sigma: 43.0655247 variable 5: 41.0854902 % , in sigma: 31.8026285 variable 6: 60.0038917 % , in sigma: 46.4466036 variable 7: 67.5664265 % , in sigma: 52.3004582 variable 8: 62.2202191 % , in sigma: 48.1621737 variable 9: 70.2895525 % , in sigma: 54.4083207 variable 10: -25.4153396 % , in sigma: 19.6729941 variable 11: -17.3460867 % , in sigma: 13.4269093 variable 12: -31.9360997 % , in sigma: 24.7204527 variable 13: 16.4619654 % , in sigma: 12.7425465 variable 14: 18.3186637 % , in sigma: 14.1797421 variables sorted by significance: 1 most relevant variable 7 corr 67.5664291 , in sigma: 52.3004603 2 most relevant variable 5 corr 27.9486008 , in sigma: 21.6338898 3 most relevant variable 4 corr 14.3953743 , in sigma: 11.1428813 4 most relevant variable 3 corr 9.19515228 , in sigma: 7.11759823 5 most relevant variable 9 corr 12.6912756 , in sigma: 9.82380693 6 most relevant variable 14 corr 10.0509806 , in sigma: 7.78006055 7 most relevant variable 12 corr 6.68362808 , in sigma: 5.17352818 8 most relevant variable 10 corr 6.29520035 , in sigma: 4.87286186 9 most relevant variable 13 corr 3.7762897 , in sigma: 2.92307425 10 most relevant variable 2 corr 3.17745328 , in sigma: 2.45953902 11 most relevant variable 8 corr 1.79158747 , in sigma: 1.38679594 12 most relevant variable 6 corr 1.54381371 , in sigma: 1.19500421 13 most relevant variable 11 corr 1.07405198 , in sigma: 0.831380516 global correlations between input variables: variable 2: 99.2613608 % variable 3: 92.8165023 % variable 4: 90.2540883 % variable 5: 95.8685647 % variable 6: 96.5433918 % variable 7: 98.8793297 % variable 8: 91.1801767 % variable 9: 98.800457 % variable 10: 70.5176174 % variable 11: 57.428707 % variable 12: 71.5860874 % variable 13: 86.5245198 % variable 14: 87.2677311 % significance loss when removing single variables: variable 2: corr = 1.82662907 % , sigma = 1.41392023 variable 3: corr = 15.4974368 % , sigma = 11.9959436 variable 4: corr = 16.514844 % , sigma = 12.7834778 variable 5: corr = 14.4337342 % , sigma = 11.1725742 variable 6: corr = 1.51569398 % , sigma = 1.17323786 variable 7: corr = 7.78174914 % , sigma = 6.0235396 variable 8: corr = 2.07401475 % , sigma = 1.60541155 variable 9: corr = 10.6410291 % , sigma = 8.2367934 variable 10: corr = 5.01162497 % , sigma = 3.87929769 variable 11: corr = 1.07405194 % , sigma = 0.83138049 variable 12: corr = 5.62056467 % , sigma = 4.35065347 variable 13: corr = 3.81829671 % , sigma = 2.9555902 variable 14: corr = 4.07042986 % , sigma = 3.15075634 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 2 --> 12.475379 sigma out 15 active outputs RANK 2 NODE 5 --> 12.1477642 sigma out 15 active outputs RANK 3 NODE 1 --> 9.63120461 sigma out 15 active outputs RANK 4 NODE 6 --> 9.48369789 sigma out 15 active outputs RANK 5 NODE 3 --> 9.39928627 sigma out 15 active outputs RANK 6 NODE 9 --> 9.23603058 sigma out 15 active outputs RANK 7 NODE 7 --> 9.08515835 sigma out 15 active outputs RANK 8 NODE 4 --> 7.66019583 sigma out 15 active outputs RANK 9 NODE 8 --> 6.10569286 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 15.3503923 sigma in 9act. ( 17.7345867 sig out 1act.) RANK 2 NODE 3 --> 11.0554876 sigma in 9act. ( 11.2759504 sig out 1act.) RANK 3 NODE 7 --> 9.79469585 sigma in 9act. ( 9.26869869 sig out 1act.) RANK 4 NODE 5 --> 8.74483967 sigma in 9act. ( 9.22866535 sig out 1act.) RANK 5 NODE 8 --> 8.02715969 sigma in 9act. ( 7.39563704 sig out 1act.) RANK 6 NODE 11 --> 6.97090769 sigma in 9act. ( 7.74927092 sig out 1act.) RANK 7 NODE 1 --> 6.61782217 sigma in 9act. ( 6.69459963 sig out 1act.) RANK 8 NODE 15 --> 6.01810789 sigma in 9act. ( 6.41698408 sig out 1act.) RANK 9 NODE 13 --> 5.88756037 sigma in 9act. ( 6.27107096 sig out 1act.) RANK 10 NODE 2 --> 5.50037432 sigma in 9act. ( 5.43777609 sig out 1act.) RANK 11 NODE 9 --> 4.40255642 sigma in 9act. ( 4.53886271 sig out 1act.) RANK 12 NODE 14 --> 4.37672806 sigma in 9act. ( 4.579247 sig out 1act.) RANK 13 NODE 10 --> 2.92235255 sigma in 9act. ( 3.09122729 sig out 1act.) RANK 14 NODE 4 --> 1.34073722 sigma in 9act. ( 1.1195544 sig out 1act.) RANK 15 NODE 12 --> 0.975050151 sigma in 9act. ( 0.959436417 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 17.7345867 sigma out 1act.( 15.3503923 sig in 9act.) RANK 2 NODE 3 --> 11.2759504 sigma out 1act.( 11.0554876 sig in 9act.) RANK 3 NODE 7 --> 9.26869869 sigma out 1act.( 9.79469585 sig in 9act.) RANK 4 NODE 5 --> 9.22866535 sigma out 1act.( 8.74483967 sig in 9act.) RANK 5 NODE 11 --> 7.74927092 sigma out 1act.( 6.97090769 sig in 9act.) RANK 6 NODE 8 --> 7.39563704 sigma out 1act.( 8.02715969 sig in 9act.) RANK 7 NODE 1 --> 6.69459963 sigma out 1act.( 6.61782217 sig in 9act.) RANK 8 NODE 15 --> 6.41698408 sigma out 1act.( 6.01810789 sig in 9act.) RANK 9 NODE 13 --> 6.27107096 sigma out 1act.( 5.88756037 sig in 9act.) RANK 10 NODE 2 --> 5.43777609 sigma out 1act.( 5.50037432 sig in 9act.) RANK 11 NODE 14 --> 4.579247 sigma out 1act.( 4.37672806 sig in 9act.) RANK 12 NODE 9 --> 4.53886271 sigma out 1act.( 4.40255642 sig in 9act.) RANK 13 NODE 10 --> 3.09122729 sigma out 1act.( 2.92235255 sig in 9act.) RANK 14 NODE 4 --> 1.1195544 sigma out 1act.( 1.34073722 sig in 9act.) RANK 15 NODE 12 --> 0.959436417 sigma out 1act.( 0.975050151 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 30.58885 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 19.2266521 sigma out 15 active outputs RANK 2 NODE 5 --> 13.1317873 sigma out 15 active outputs RANK 3 NODE 6 --> 11.4196901 sigma out 15 active outputs RANK 4 NODE 3 --> 11.3464289 sigma out 15 active outputs RANK 5 NODE 1 --> 11.2256765 sigma out 15 active outputs RANK 6 NODE 7 --> 10.0784473 sigma out 15 active outputs RANK 7 NODE 4 --> 9.43371487 sigma out 15 active outputs RANK 8 NODE 9 --> 9.27690125 sigma out 15 active outputs RANK 9 NODE 8 --> 6.88238239 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 13.8687716 sigma in 9act. ( 10.075223 sig out 1act.) RANK 2 NODE 6 --> 13.7660055 sigma in 9act. ( 14.5131235 sig out 1act.) RANK 3 NODE 12 --> 11.0463734 sigma in 9act. ( 4.87589025 sig out 1act.) RANK 4 NODE 5 --> 10.1776409 sigma in 9act. ( 8.59801197 sig out 1act.) RANK 5 NODE 15 --> 9.26283741 sigma in 9act. ( 6.52525043 sig out 1act.) RANK 6 NODE 11 --> 9.1739006 sigma in 9act. ( 7.69425058 sig out 1act.) RANK 7 NODE 3 --> 8.71713543 sigma in 9act. ( 8.82234287 sig out 1act.) RANK 8 NODE 8 --> 8.07828617 sigma in 9act. ( 5.16747379 sig out 1act.) RANK 9 NODE 1 --> 7.38521433 sigma in 9act. ( 5.18249226 sig out 1act.) RANK 10 NODE 13 --> 7.22982836 sigma in 9act. ( 5.10119629 sig out 1act.) RANK 11 NODE 9 --> 7.19985914 sigma in 9act. ( 4.26411963 sig out 1act.) RANK 12 NODE 14 --> 6.96210718 sigma in 9act. ( 5.24551344 sig out 1act.) RANK 13 NODE 10 --> 6.8803997 sigma in 9act. ( 3.83454084 sig out 1act.) RANK 14 NODE 4 --> 6.34954309 sigma in 9act. ( 2.24833846 sig out 1act.) RANK 15 NODE 2 --> 6.15103483 sigma in 9act. ( 3.98538709 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 14.5131235 sigma out 1act.( 13.7660055 sig in 9act.) RANK 2 NODE 7 --> 10.075223 sigma out 1act.( 13.8687716 sig in 9act.) RANK 3 NODE 3 --> 8.82234287 sigma out 1act.( 8.71713543 sig in 9act.) RANK 4 NODE 5 --> 8.59801197 sigma out 1act.( 10.1776409 sig in 9act.) RANK 5 NODE 11 --> 7.69425058 sigma out 1act.( 9.1739006 sig in 9act.) RANK 6 NODE 15 --> 6.52525043 sigma out 1act.( 9.26283741 sig in 9act.) RANK 7 NODE 14 --> 5.24551344 sigma out 1act.( 6.96210718 sig in 9act.) RANK 8 NODE 1 --> 5.18249226 sigma out 1act.( 7.38521433 sig in 9act.) RANK 9 NODE 8 --> 5.16747379 sigma out 1act.( 8.07828617 sig in 9act.) RANK 10 NODE 13 --> 5.10119629 sigma out 1act.( 7.22982836 sig in 9act.) RANK 11 NODE 12 --> 4.87589025 sigma out 1act.( 11.0463734 sig in 9act.) RANK 12 NODE 9 --> 4.26411963 sigma out 1act.( 7.19985914 sig in 9act.) RANK 13 NODE 2 --> 3.98538709 sigma out 1act.( 6.15103483 sig in 9act.) RANK 14 NODE 10 --> 3.83454084 sigma out 1act.( 6.8803997 sig in 9act.) RANK 15 NODE 4 --> 2.24833846 sigma out 1act.( 6.34954309 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 27.3930378 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.489598244 *** contribution from regularisation: 0.0157314427 *** contribution from error: -0.505329669 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.56819123 *** contribution from regularisation: 0.00683769071 *** contribution from error: -0.575028896 *********************************************** -----------------> Test sample ENTER BFGS code START -12418.8683 -0.214933932 -0.124358959 EXIT FROM BFGS code FG_START 0. -0.214933932 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.591576755 *** contribution from regularisation: 0.00529607618 *** contribution from error: -0.596872807 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12927.7272 -0.214933932 14.1917524 EXIT FROM BFGS code FG_LNSRCH 0. -0.184117585 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.610452294 *** contribution from regularisation: 0.00690533128 *** contribution from error: -0.617357612 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13340.2141 -0.184117585 16.4878216 EXIT FROM BFGS code NEW_X -13340.2141 -0.184117585 16.4878216 ENTER BFGS code NEW_X -13340.2141 -0.184117585 16.4878216 EXIT FROM BFGS code FG_LNSRCH 0. -0.147402182 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.613604903 *** contribution from regularisation: 0.0071666711 *** contribution from error: -0.620771587 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13409.1084 -0.147402182 5.87991619 EXIT FROM BFGS code NEW_X -13409.1084 -0.147402182 5.87991619 ENTER BFGS code NEW_X -13409.1084 -0.147402182 5.87991619 EXIT FROM BFGS code FG_LNSRCH 0. -0.11587657 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.614864707 *** contribution from regularisation: 0.00682634069 *** contribution from error: -0.621691048 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13436.6387 -0.11587657 -0.0512335934 EXIT FROM BFGS code NEW_X -13436.6387 -0.11587657 -0.0512335934 ENTER BFGS code NEW_X -13436.6387 -0.11587657 -0.0512335934 EXIT FROM BFGS code FG_LNSRCH 0. -0.0888152197 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.615067661 *** contribution from regularisation: 0.00658489671 *** contribution from error: -0.621652544 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13441.0737 -0.0888152197 -1.52662671 EXIT FROM BFGS code NEW_X -13441.0737 -0.0888152197 -1.52662671 ENTER BFGS code NEW_X -13441.0737 -0.0888152197 -1.52662671 EXIT FROM BFGS code FG_LNSRCH 0. -0.00669648452 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.61511606 *** contribution from regularisation: 0.00514432136 *** contribution from error: -0.620260358 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13442.1311 -0.00669648452 -1.95270896 EXIT FROM BFGS code NEW_X -13442.1311 -0.00669648452 -1.95270896 ENTER BFGS code NEW_X -13442.1311 -0.00669648452 -1.95270896 EXIT FROM BFGS code FG_LNSRCH 0. 0.325794101 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.550387979 *** contribution from regularisation: 0.00813006423 *** contribution from error: -0.558518052 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12027.6283 0.325794101 3.95565486 EXIT FROM BFGS code FG_LNSRCH 0. 0.0117884241 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 18.1769485 sigma out 15 active outputs RANK 2 NODE 1 --> 8.973176 sigma out 15 active outputs RANK 3 NODE 7 --> 6.94356108 sigma out 15 active outputs RANK 4 NODE 3 --> 6.20871592 sigma out 15 active outputs RANK 5 NODE 4 --> 4.83068705 sigma out 15 active outputs RANK 6 NODE 5 --> 4.3265729 sigma out 15 active outputs RANK 7 NODE 6 --> 3.24576735 sigma out 15 active outputs RANK 8 NODE 9 --> 2.7791121 sigma out 15 active outputs RANK 9 NODE 8 --> 2.27315187 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 11.8203239 sigma in 9act. ( 7.77427006 sig out 1act.) RANK 2 NODE 7 --> 10.0343552 sigma in 9act. ( 5.79997396 sig out 1act.) RANK 3 NODE 15 --> 7.3441782 sigma in 9act. ( 4.16953039 sig out 1act.) RANK 4 NODE 5 --> 6.74394274 sigma in 9act. ( 3.62224722 sig out 1act.) RANK 5 NODE 4 --> 6.32816553 sigma in 9act. ( 3.39065051 sig out 1act.) RANK 6 NODE 11 --> 6.03362703 sigma in 9act. ( 3.49837923 sig out 1act.) RANK 7 NODE 10 --> 5.62132692 sigma in 9act. ( 3.03258538 sig out 1act.) RANK 8 NODE 14 --> 5.18031311 sigma in 9act. ( 2.83127546 sig out 1act.) RANK 9 NODE 9 --> 4.82758141 sigma in 9act. ( 2.50290751 sig out 1act.) RANK 10 NODE 6 --> 4.61018372 sigma in 9act. ( 2.49527454 sig out 1act.) RANK 11 NODE 3 --> 3.7823925 sigma in 9act. ( 1.62782383 sig out 1act.) RANK 12 NODE 1 --> 3.08680916 sigma in 9act. ( 1.34689176 sig out 1act.) RANK 13 NODE 13 --> 2.86736608 sigma in 9act. ( 0.85256964 sig out 1act.) RANK 14 NODE 2 --> 2.46138239 sigma in 9act. ( 0.770026565 sig out 1act.) RANK 15 NODE 8 --> 2.40317011 sigma in 9act. ( 0.803549707 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 7.77427006 sigma out 1act.( 11.8203239 sig in 9act.) RANK 2 NODE 7 --> 5.79997396 sigma out 1act.( 10.0343552 sig in 9act.) RANK 3 NODE 15 --> 4.16953039 sigma out 1act.( 7.3441782 sig in 9act.) RANK 4 NODE 5 --> 3.62224722 sigma out 1act.( 6.74394274 sig in 9act.) RANK 5 NODE 11 --> 3.49837923 sigma out 1act.( 6.03362703 sig in 9act.) RANK 6 NODE 4 --> 3.39065051 sigma out 1act.( 6.32816553 sig in 9act.) RANK 7 NODE 10 --> 3.03258538 sigma out 1act.( 5.62132692 sig in 9act.) RANK 8 NODE 14 --> 2.83127546 sigma out 1act.( 5.18031311 sig in 9act.) RANK 9 NODE 9 --> 2.50290751 sigma out 1act.( 4.82758141 sig in 9act.) RANK 10 NODE 6 --> 2.49527454 sigma out 1act.( 4.61018372 sig in 9act.) RANK 11 NODE 3 --> 1.62782383 sigma out 1act.( 3.7823925 sig in 9act.) RANK 12 NODE 1 --> 1.34689176 sigma out 1act.( 3.08680916 sig in 9act.) RANK 13 NODE 13 --> 0.85256964 sigma out 1act.( 2.86736608 sig in 9act.) RANK 14 NODE 8 --> 0.803549707 sigma out 1act.( 2.40317011 sig in 9act.) RANK 15 NODE 2 --> 0.770026565 sigma out 1act.( 2.46138239 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 13.5813417 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.612810016 *** contribution from regularisation: 0.00706458418 *** contribution from error: -0.619874597 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -13391.7375 0.0117884241 -1.90841174 EXIT FROM BFGS code FG_LNSRCH 0. -0.00612299656 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.613608778 *** contribution from regularisation: 0.00664062379 *** contribution from error: -0.620249391 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13409.192 -0.00612299656 -1.93857884 EXIT FROM BFGS code FG_LNSRCH 0. -0.00669552432 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.614068151 *** contribution from regularisation: 0.00619218033 *** contribution from error: -0.620260358 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13419.2319 -0.00669552432 -1.98425245 EXIT FROM BFGS code FG_LNSRCH 0. -0.00669648452 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.613709033 *** contribution from regularisation: 0.00655134581 *** contribution from error: -0.620260358 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13411.3834 -0.00669648452 -1.98332918 EXIT FROM BFGS code FG_LNSRCH 0. -0.00669648452 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.613800049 *** contribution from regularisation: 0.00646031648 *** contribution from error: -0.620260358 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13413.3727 -0.00669648452 -1.98838902 EXIT FROM BFGS code FG_LNSRCH 0. -0.00669648452 0. --------------------------------------------------- Iteration : 15 WARNING in NB_TEACHER: limited eta to preset max. value *********************************************** *** Learn Path 15 *** loss function: -0.613999844 *** contribution from regularisation: 0.00626054034 *** contribution from error: -0.620260358 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13417.7384 -0.00669648452 -1.98612356 EXIT FROM BFGS code NEW_X -13417.7384 -0.00669648452 -1.98612356 ENTER BFGS code NEW_X -13417.7384 -0.00669648452 -1.98612356 EXIT FROM BFGS code CONVERGENC -13417.7384 -0.00669648452 -1.98612356 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 27.0675354 sigma out 15 active outputs RANK 2 NODE 1 --> 13.7292681 sigma out 15 active outputs RANK 3 NODE 7 --> 10.3008785 sigma out 15 active outputs RANK 4 NODE 3 --> 9.77229786 sigma out 15 active outputs RANK 5 NODE 4 --> 7.80171347 sigma out 15 active outputs RANK 6 NODE 5 --> 6.72186279 sigma out 15 active outputs RANK 7 NODE 6 --> 4.86639166 sigma out 15 active outputs RANK 8 NODE 9 --> 4.02505589 sigma out 15 active outputs RANK 9 NODE 8 --> 3.54072809 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 18.4928913 sigma in 9act. ( 14.7421484 sig out 1act.) RANK 2 NODE 7 --> 16.3243103 sigma in 9act. ( 10.8903933 sig out 1act.) RANK 3 NODE 15 --> 11.5919189 sigma in 9act. ( 7.7869668 sig out 1act.) RANK 4 NODE 5 --> 10.4431934 sigma in 9act. ( 6.61102247 sig out 1act.) RANK 5 NODE 4 --> 9.21091652 sigma in 9act. ( 6.4980669 sig out 1act.) RANK 6 NODE 11 --> 8.91569996 sigma in 9act. ( 6.86670256 sig out 1act.) RANK 7 NODE 10 --> 7.77587461 sigma in 9act. ( 5.87166119 sig out 1act.) RANK 8 NODE 9 --> 7.02270699 sigma in 9act. ( 4.59939766 sig out 1act.) RANK 9 NODE 14 --> 6.96093512 sigma in 9act. ( 5.48086166 sig out 1act.) RANK 10 NODE 6 --> 6.55579042 sigma in 9act. ( 4.85424137 sig out 1act.) RANK 11 NODE 3 --> 4.80896091 sigma in 9act. ( 2.85369277 sig out 1act.) RANK 12 NODE 1 --> 3.97238541 sigma in 9act. ( 2.47483635 sig out 1act.) RANK 13 NODE 13 --> 3.19288588 sigma in 9act. ( 1.7253499 sig out 1act.) RANK 14 NODE 8 --> 2.7262516 sigma in 9act. ( 1.5798372 sig out 1act.) RANK 15 NODE 2 --> 2.69030428 sigma in 9act. ( 1.50134468 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 14.7421484 sigma out 1act.( 18.4928913 sig in 9act.) RANK 2 NODE 7 --> 10.8903933 sigma out 1act.( 16.3243103 sig in 9act.) RANK 3 NODE 15 --> 7.7869668 sigma out 1act.( 11.5919189 sig in 9act.) RANK 4 NODE 11 --> 6.86670256 sigma out 1act.( 8.91569996 sig in 9act.) RANK 5 NODE 5 --> 6.61102247 sigma out 1act.( 10.4431934 sig in 9act.) RANK 6 NODE 4 --> 6.4980669 sigma out 1act.( 9.21091652 sig in 9act.) RANK 7 NODE 10 --> 5.87166119 sigma out 1act.( 7.77587461 sig in 9act.) RANK 8 NODE 14 --> 5.48086166 sigma out 1act.( 6.96093512 sig in 9act.) RANK 9 NODE 6 --> 4.85424137 sigma out 1act.( 6.55579042 sig in 9act.) RANK 10 NODE 9 --> 4.59939766 sigma out 1act.( 7.02270699 sig in 9act.) RANK 11 NODE 3 --> 2.85369277 sigma out 1act.( 4.80896091 sig in 9act.) RANK 12 NODE 1 --> 2.47483635 sigma out 1act.( 3.97238541 sig in 9act.) RANK 13 NODE 13 --> 1.7253499 sigma out 1act.( 3.19288588 sig in 9act.) RANK 14 NODE 8 --> 1.5798372 sigma out 1act.( 2.7262516 sig in 9act.) RANK 15 NODE 2 --> 1.50134468 sigma out 1act.( 2.69030428 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 25.7075863 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.613711357 *** contribution from regularisation: 0.0065490026 *** contribution from error: -0.620260358 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done