NNInput NNInputs_160.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= 47070 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 = 10867 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 10867 Chosen entries: 10867 Signal fraction: 1 Background fraction: 0.300168 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 10867 Entries to split: 10867 Test with : 5433 Train with : 5433 ********************************************* * 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= 10867 for Signal Prepared event 0 for Signal with 10867 events ====Entry 0 Variable Ht : 166.298 Variable LepAPt : 25.7832 Variable LepBPt : 14.2301 Variable MetSigLeptonsJets : 10.3453 Variable MetSpec : 90.2292 Variable SumEtLeptonsJets : 76.0686 Variable VSumJetLeptonsPt : 71.336 Variable addEt : 130.243 Variable dPhiLepSumMet : 2.93678 Variable dPhiLeptons : 0.794482 Variable dRLeptons : 0.800062 Variable lep1_E : 29.8442 Variable lep2_E : 15.7611 ===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 = 2160 Ht = 166.298 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.7832 LepAPt = 25.7832 LepBEt = 14.2301 LepBPt = 14.2301 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 90.2292 MetDelPhi = 2.41899 MetSig = 8.02452 MetSigLeptonsJets = 10.3453 MetSpec = 90.2292 Mjj = 0 MostCentralJetEta = -2.43032 MtllMet = 134.073 Njets = 1 SB = 0 SumEt = 126.432 SumEtJets = 0 SumEtLeptonsJets = 76.0685 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 71.336 addEt = 130.243 dPhiLepSumMet = 2.93678 dPhiLeptons = 0.794482 dRLeptons = 0.800062 diltype = 45 dimass = 14.9307 event = 2681 jet1_Et = 36.0552 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 29.8442 lep2_E = 15.7611 rand = 0.999742 run = 233650 weight = 3.76536e-06 ===Show End Prepared event 10000 for Signal with 10867 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 = 0.36003 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 873 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 47070 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 873 negative weights. Signal fraction: 61.7664108 % ------------------------------ 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 55.3054924 63.1217117 64.8518753 66.3889771 67.5754166 68.5150757 69.7022552 70.4163437 71.0698471 71.7746277 72.601593 73.2170639 73.8238449 74.3829422 74.9124756 75.4906464 75.9013748 76.4779129 77.1603699 77.7810745 78.3115997 78.8490143 79.2909241 79.6781769 80.2863617 80.7967987 81.3444672 81.9837036 82.6439209 83.3337402 84.3265076 85.2098083 86.2957001 87.3289337 88.5924683 89.9415741 91.5946579 93.478157 95.1453552 96.8048096 98.903862 100.384315 102.102997 103.998886 105.526138 107.335892 108.980804 110.839417 112.655151 114.41758 115.936142 117.67038 119.429253 121.602325 123.419312 124.940216 127.001556 128.539429 130.632782 132.774994 134.370468 136.315582 138.146149 139.87262 141.655823 143.36557 144.761017 146.40799 148.080322 149.504135 151.11203 152.493805 154.089874 155.364746 156.837418 158.533997 160.141052 162.197388 164.157196 166.230728 168.531281 170.731323 173.862274 176.151825 179.102448 182.293091 185.09433 188.780716 192.069916 195.617935 199.414764 204.138245 208.684601 214.418732 220.520538 228.871948 239.206573 253.67334 276.222778 314.261536 640.05603 ------------------------------ Transdef: Tab for variable 3 20.0012817 20.2586327 20.5496025 20.7823639 21.0799904 21.4033165 21.6275597 21.8475418 22.0351944 22.2364235 22.4214306 22.7170601 22.9361649 23.1194649 23.2934895 23.4922123 23.6636238 23.8263817 24.013525 24.2090416 24.402317 24.5677948 24.7787781 24.9410973 25.1174889 25.347599 25.537529 25.66856 25.8608742 26.1235237 26.2597275 26.4209442 26.6652107 26.833828 27.0793037 27.2894211 27.5071259 27.8035698 27.977541 28.1525497 28.3679771 28.5854034 28.8033867 29.0618858 29.2760773 29.5400124 29.7944679 30.1223583 30.3908424 30.661808 30.9931812 31.2653732 31.5696945 31.8709984 32.1639099 32.4661598 32.7378693 33.0470161 33.3648453 33.6580429 33.9495544 34.3247452 34.639679 34.9559326 35.3033066 35.5411758 35.8119202 36.1100006 36.4737282 36.8832054 37.2378845 37.6428261 38.0205574 38.3581009 38.6647797 39.0252113 39.371666 39.8211975 40.2358017 40.6203308 41.0499268 41.4756241 41.9375763 42.3485565 42.7492905 43.1927147 43.6574593 44.1130028 44.7773857 45.3611259 46.100029 47.0474167 47.868576 48.9838257 50.3243141 51.8813705 53.4472275 55.4700851 58.9230576 64.1957245 151.031479 ------------------------------ Transdef: Tab for variable 4 10.0008726 10.1039925 10.2266903 10.3208132 10.4268646 10.5361681 10.6528072 10.7754889 10.8467655 10.9693775 11.0933943 11.2639675 11.3792553 11.4899883 11.6135292 11.746788 11.878891 12.0234375 12.1755161 12.3358164 12.506443 12.6362944 12.7936611 12.9290686 13.0814133 13.2187853 13.3778057 13.526947 13.6986389 13.8647156 14.0235243 14.1868877 14.3356895 14.4869537 14.7113876 14.8993578 15.1032982 15.2803955 15.4555998 15.6647444 15.8806229 16.0822487 16.2787266 16.4873543 16.7094574 16.9626045 17.237896 17.4569244 17.7225189 17.9846764 18.2471142 18.4768715 18.7347412 19.0683746 19.3074112 19.6136532 19.9111366 20.1899071 20.499094 20.8379173 21.1680489 21.5955143 21.9550705 22.3412285 22.7219772 23.1626816 23.5331917 23.9323788 24.2976036 24.6601639 25.1179104 25.5321655 25.9608479 26.4170799 26.827034 27.1888237 27.6008148 28.024107 28.3881626 28.85112 29.3372383 29.7784042 30.1916904 30.646534 31.2178307 31.6360397 32.1625481 32.708252 33.1987915 33.8589096 34.3712997 34.9764214 35.5840225 36.30373 37.1066208 38.0487289 39.104393 40.5775375 42.9619446 46.6316452 66.058548 ------------------------------ Transdef: Tab for variable 5 1.79273057 2.9787035 3.31910324 3.66299725 3.86467934 4.06687927 4.2167635 4.3363924 4.45597506 4.55436897 4.67692375 4.77604151 4.85493279 4.93839741 5.00339746 5.06398964 5.12473488 5.19981098 5.2588129 5.32031155 5.37946701 5.4223299 5.46120548 5.5169692 5.58019447 5.62248564 5.65980816 5.69967747 5.73422432 5.78752327 5.82735395 5.88098145 5.92289543 5.96193981 6.001894 6.04199696 6.08227253 6.12308025 6.17217684 6.21667051 6.26344013 6.30116081 6.33689451 6.36527538 6.40602779 6.45058155 6.48747015 6.52884579 6.57885933 6.61982155 6.67258549 6.72068596 6.75646877 6.80307913 6.85032845 6.89412785 6.94656467 7.00032711 7.05011463 7.10709381 7.15252399 7.20286894 7.26975822 7.3314743 7.39714861 7.44972134 7.51815796 7.58166027 7.65464354 7.71838284 7.79837227 7.85716915 7.91311502 7.99867678 8.07229233 8.14989662 8.21712685 8.2750988 8.34030056 8.41245842 8.48368645 8.57792091 8.63831234 8.70593071 8.78505707 8.87296677 8.93434048 9.01998806 9.09885406 9.20058537 9.30595493 9.44133759 9.55426121 9.66777611 9.82430935 10.020401 10.2439985 10.5617189 10.942131 11.6301184 16.5206261 ------------------------------ Transdef: Tab for variable 6 25.0015602 26.0292454 26.7918892 27.6108284 28.380619 29.0324059 29.8461723 30.5007286 31.1459999 31.6965179 32.2077103 32.6779022 33.0657158 33.5102921 33.9912567 34.3815765 34.6868744 35.0192184 35.3395615 35.7501907 36.1545486 36.4428635 36.74823 37.0677605 37.4066429 37.7670059 38.0244598 38.3790436 38.7358398 39.0623093 39.3425064 39.6512566 40.0446014 40.4097252 40.774025 41.1032104 41.5061035 41.8755417 42.2515945 42.6117554 43.0394897 43.485611 43.9307327 44.4610291 44.8988609 45.604599 46.2132835 46.9016151 47.5306015 48.1411057 48.841568 49.7215614 50.5086823 51.4582138 52.1785011 53.002594 53.8971825 54.7105789 55.6324463 56.4131775 57.1777763 57.9859962 58.9033127 59.818821 60.7149048 61.6281586 62.5826492 63.60569 64.5095978 65.4752655 66.3969879 67.2604828 68.0019302 69.0083313 69.8950043 70.7067795 71.6674194 72.5124664 73.3595123 74.3869095 75.2052307 76.0160217 77.0452118 77.8708801 78.8902969 79.7856293 80.877243 81.8852234 83.0150757 84.161972 85.8861923 87.5337677 89.2796097 91.7642365 94.0498199 97.6043549 101.277916 106.158478 114.787033 127.689278 240.102371 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.6454353 33.4402122 34.0515366 34.7805786 35.3199387 35.6576614 36.1019745 36.4049072 36.7190247 37.0081673 37.2793655 37.5970421 37.9449081 38.1893768 38.3941154 38.6978989 38.9270706 39.1463661 39.3527298 39.5541306 39.7849121 40.0924492 40.3566513 40.6656265 40.9467125 41.2208939 41.483429 41.8632355 42.3057175 42.7865753 43.5166283 44.2036209 44.8127441 45.4592285 46.234108 47.2501984 48.0998688 48.9707642 50.3943176 51.4022293 52.5645905 53.5005417 54.5259323 55.6337662 56.5996208 57.2922974 58.2987976 59.2568817 60.2881012 61.2261429 62.2173004 63.2182617 64.1062317 65.1846771 66.2792892 67.1686401 67.9367676 68.8140106 69.7871857 70.6990814 71.5070343 72.3965225 73.3329926 74.3690796 75.3338318 76.1693115 76.9630737 77.9082489 78.7256317 80.0024948 81.3226242 82.4961853 83.7644424 85.1364136 86.5 87.9781036 89.7059174 91.8772583 93.9297256 95.7752533 97.9619446 100.16362 102.025787 104.170349 106.46048 108.637466 111.084976 114.505249 117.922195 121.132034 125.230125 129.26358 134.028259 139.541931 146.940125 156.341492 167.322845 183.786255 208.150238 377.001801 ------------------------------ Transdef: Tab for variable 8 3.84414721 26.1049805 30.1743546 31.5090885 32.2932663 32.9299698 33.3752594 33.8375626 34.3179169 34.6942978 34.9868507 35.3050385 35.6348877 35.8947983 36.136467 36.4306297 36.6306 36.9045105 37.2076111 37.4339066 37.6263809 37.8672714 38.1206284 38.3009377 38.5414886 38.7651901 38.9794998 39.2445984 39.5366516 39.8449783 40.0638046 40.3206978 40.5420952 40.8086052 41.1147003 41.3861389 41.6916695 42.0913773 42.5365295 43.0670624 43.5735016 44.0936165 44.6091232 45.176693 45.7365189 46.4221306 47.0365257 47.7793198 48.4503784 49.2548141 50.0950813 50.9420891 51.7486153 52.3790512 53.0341568 53.7355347 54.6130676 55.4824829 56.2690048 57.00177 57.8112221 58.5170059 59.1928177 59.9701462 60.6907196 61.4120941 62.051136 62.9044418 63.6238785 64.3963776 65.0826111 65.9332733 66.5489502 67.3075027 68.0125427 68.8952179 69.5663071 70.3234558 71.1276245 72.0257034 72.8751144 73.6772003 74.424408 75.2442093 76.2208557 76.9895477 78.1308746 79.3132553 80.4105301 81.5571442 83.0145569 84.5809326 86.7605438 89.374115 92.3001404 95.3895493 99.3815002 104.982239 112.803513 129.732178 273.062042 ------------------------------ Transdef: Tab for variable 9 55.3054924 62.7745438 64.5166931 65.9046936 67.0923462 67.9484406 68.7888947 69.9271088 70.4712677 71.0698471 71.7428741 72.344986 73.0133972 73.5130997 74.1071625 74.5555115 75.0721588 75.5848083 76.0064774 76.457489 77.0084381 77.5727081 78.0672302 78.5416565 79.0487442 79.4188995 79.8183441 80.3298798 80.7854919 81.2646179 81.8630295 82.3900909 82.9108353 83.5886078 84.4579163 85.2098083 86.113678 86.8033371 87.6795044 88.6053543 89.7277603 90.853157 92.3270874 93.7281494 95.1453552 96.4293671 97.9954376 99.5040436 100.962769 102.581512 104.193726 105.755661 107.057411 108.644981 110.238174 111.473717 113.135986 114.468552 116.080261 117.328346 118.861771 120.262535 121.801758 123.390259 124.741936 126.095558 127.467621 128.56424 129.955826 131.632782 133.101532 134.296356 135.790619 137.334366 138.624176 140.162262 141.496597 142.891296 144.325226 145.698212 146.878403 148.333969 149.394852 150.707031 151.736938 153.031403 154.311646 155.259552 156.652664 157.838226 159.32724 160.382477 162.097992 163.765137 165.614563 168.304291 170.921478 174.388443 180.946716 195.877319 344.857483 ------------------------------ Transdef: Tab for variable 10 0.0879002884 1.20835423 1.4955399 1.68254638 1.84704292 1.95675373 2.05040503 2.13010263 2.20249891 2.26709151 2.31122875 2.35935163 2.39753556 2.42954183 2.46576452 2.50127745 2.52805614 2.55941367 2.58797073 2.60941076 2.63354826 2.65299177 2.67529726 2.69464588 2.71392584 2.7308321 2.7474618 2.76002359 2.77732372 2.79429436 2.80777025 2.81967974 2.83259153 2.84487343 2.85644531 2.86556959 2.87770271 2.88823986 2.89652538 2.90584946 2.91340876 2.92098284 2.92835855 2.93526649 2.9434998 2.95003939 2.95641136 2.96261764 2.96867919 2.9751339 2.9814086 2.98567533 2.98948646 2.9939003 2.99868822 3.00393081 3.00899839 3.0139091 3.01911259 3.02243614 3.02676201 3.0310173 3.035923 3.03979683 3.0432539 3.0472815 3.05207539 3.0554285 3.05852509 3.06166863 3.06522226 3.06829858 3.07217932 3.07495356 3.07808185 3.08174896 3.08453584 3.08732772 3.09029365 3.09347248 3.09529352 3.09768844 3.10014153 3.10263443 3.10457444 3.10742712 3.10999441 3.11274624 3.11545444 3.11710453 3.11929584 3.12145114 3.12440729 3.12646031 3.12803364 3.13049817 3.13296461 3.13494492 3.13709974 3.1391387 3.14156938 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00737047661 0.0122388909 0.0184717178 0.0248176455 0.0304784756 0.0374259949 0.0458209515 0.0522311926 0.0604439974 0.0684223175 0.076000452 0.0833082199 0.0900993943 0.0972276479 0.106545337 0.113641039 0.120465279 0.127927303 0.134341463 0.141334772 0.147571564 0.154801786 0.162132263 0.167134732 0.172377706 0.178001285 0.184603691 0.191372275 0.1965231 0.201299548 0.205642581 0.210710287 0.213858724 0.21754992 0.222820401 0.22712253 0.231877804 0.23687838 0.242395014 0.246392131 0.251305759 0.256623566 0.260746241 0.265173078 0.270085365 0.275263637 0.280859232 0.286490917 0.291893482 0.297352612 0.302400529 0.307390213 0.312139511 0.3170259 0.323174238 0.328157187 0.333870769 0.339235723 0.345902145 0.350678146 0.357084751 0.363437355 0.370018333 0.375439227 0.381986022 0.388153255 0.394826651 0.40164125 0.406677723 0.412901998 0.420872867 0.429186106 0.43566227 0.443940401 0.450790167 0.459259331 0.466560692 0.474663675 0.481476247 0.488853574 0.496842384 0.50707078 0.51560092 0.525448263 0.535924971 0.545385361 0.555454493 0.566221595 0.578932762 0.592041075 0.605142355 0.623096347 0.641528726 0.663199067 0.682055473 0.710571289 0.742553234 0.789975286 0.846944451 1.080302 ------------------------------ Transdef: Tab for variable 12 0.200074658 0.209794402 0.218110204 0.224808723 0.231509596 0.237908989 0.244968861 0.250924468 0.257365942 0.262487054 0.267906725 0.274316102 0.279074967 0.284805864 0.290146172 0.295084924 0.302156299 0.307226598 0.312652588 0.317214012 0.321928799 0.327431023 0.332585573 0.338675976 0.344027162 0.348411441 0.353119403 0.357517242 0.362345994 0.366145134 0.371960193 0.376729608 0.381717384 0.386415064 0.391821295 0.395821393 0.399696559 0.404445052 0.408984274 0.412359059 0.415404677 0.418664217 0.422608733 0.426455855 0.431501925 0.434906274 0.440032184 0.44444418 0.4484694 0.452777356 0.456960022 0.4615134 0.466264933 0.471019179 0.475482255 0.480020493 0.484455109 0.488883257 0.492927849 0.498097837 0.50324285 0.508839726 0.514119625 0.519103229 0.52421844 0.529350758 0.535158277 0.54120481 0.54637444 0.551188231 0.557347655 0.563573003 0.56885016 0.573938489 0.580215693 0.58616513 0.591854453 0.59867394 0.605640709 0.612575233 0.619176269 0.628500164 0.636175632 0.644512951 0.652555704 0.660980225 0.66898644 0.67856282 0.689630747 0.701785982 0.71542877 0.727084756 0.744513631 0.758548617 0.774533391 0.794668078 0.812108696 0.834408283 0.864245176 0.908981681 1.0927664 ------------------------------ Transdef: Tab for variable 13 20.0293255 21.40765 22.4087906 23.0720482 23.5798149 24.3240395 24.951828 25.4177246 25.8247643 26.2707481 26.7079735 27.1381912 27.5299034 27.9998779 28.3679771 28.7715454 29.1534328 29.4556999 29.8841057 30.227169 30.6292725 30.9623299 31.3491096 31.7290993 32.0634842 32.3995895 32.7681885 33.1851349 33.604248 34.0083008 34.3673668 34.6800461 34.9742661 35.4564133 35.8444443 36.1759796 36.491684 36.8877678 37.269989 37.7076035 38.0732193 38.4822922 38.8868942 39.2227936 39.6556778 40.0828094 40.4101677 40.8503265 41.2774963 41.6686745 42.0669861 42.5170784 42.9755402 43.3623924 43.7921143 44.1858101 44.5484695 44.9722137 45.5107803 45.8927345 46.3908997 46.8438034 47.3257713 47.7639542 48.1405792 48.591423 49.1143646 49.5826492 50.0842819 50.5854492 51.2139816 51.8017654 52.3917694 52.9406738 53.7608795 54.3277664 54.9999733 55.7054405 56.5998001 57.5016022 58.5156746 59.4894981 60.4268074 61.3263474 62.4641304 63.8494644 65.1878357 66.6754456 68.4836578 70.3581085 72.253006 74.15979 75.9460449 78.1325684 81.1992188 84.4041595 88.2644958 92.3587799 99.2016602 109.534447 225.703049 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.7977028 11.2363014 11.6000881 11.8541451 12.2311077 12.6676369 12.969759 13.3453808 13.6037865 13.896348 14.1948624 14.4693642 14.7559433 15.0626831 15.3644485 15.6541452 15.9189262 16.2606068 16.6188469 16.8458614 17.1198235 17.3904858 17.714241 18.0640831 18.4002609 18.70825 19.0617638 19.3476334 19.6866856 20.0427475 20.3854637 20.7532234 21.0810814 21.450573 21.860693 22.2277241 22.6925316 23.0319328 23.4423828 23.8109512 24.1621323 24.522686 24.8939781 25.264473 25.6486263 25.9909267 26.327549 26.7517262 27.0862198 27.5056629 27.7678928 28.1345863 28.4527664 28.8101654 29.2086315 29.5706329 29.9092979 30.2560062 30.7248058 31.1299438 31.4836273 31.8882656 32.2504654 32.61409 33.058197 33.3873405 33.7680969 34.2377548 34.5300179 34.9475708 35.3616791 35.7463379 36.3063507 36.7209854 37.2153931 37.6198578 38.0479202 38.4965515 39.0634003 39.5620956 39.976841 40.57127 41.2143784 41.7568512 42.359211 43.0498123 43.7871017 44.6144753 45.448719 46.4262924 47.6522369 48.8056488 50.2172127 51.8516617 53.8006287 56.036087 59.5649567 64.7226334 71.8181915 115.483475 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 70.4 54.9 56.9 38.3 58.9 67.4 61.0 69.5 -27.1 -16.2 -31.4 8.4 23.9 2 70.4 100.0 65.8 64.0 42.9 76.8 94.3 78.0 92.7 -43.4 -22.7 -41.8 20.0 31.9 3 54.9 65.8 100.0 50.2 13.7 40.3 69.9 56.0 70.7 -16.4 -23.9 -46.3 51.6 25.5 4 56.9 64.0 50.2 100.0 26.9 48.0 63.7 58.3 71.3 -11.4 -26.7 -53.4 14.7 66.3 5 38.3 42.9 13.7 26.9 100.0 84.8 16.5 59.4 61.9 20.2 -11.8 -16.5 -7.3 10.3 6 58.9 76.8 40.3 48.0 84.8 100.0 57.0 80.5 85.1 -10.4 -18.5 -31.1 4.8 22.0 7 67.4 94.3 69.9 63.7 16.5 57.0 100.0 71.7 82.0 -51.6 -20.2 -40.6 26.1 34.1 8 61.0 78.0 56.0 58.3 59.4 80.5 71.7 100.0 84.5 -12.8 -23.7 -40.1 17.2 31.2 9 69.5 92.7 70.7 71.3 61.9 85.1 82.0 84.5 100.0 -20.7 -25.8 -47.7 23.7 38.2 10 -27.1 -43.4 -16.4 -11.4 20.2 -10.4 -51.6 -12.8 -20.7 100.0 1.4 3.7 -1.2 -1.0 11 -16.2 -22.7 -23.9 -26.7 -11.8 -18.5 -20.2 -23.7 -25.8 1.4 100.0 54.4 3.8 -7.3 12 -31.4 -41.8 -46.3 -53.4 -16.5 -31.1 -40.6 -40.1 -47.7 3.7 54.4 100.0 -6.1 -21.0 13 8.4 20.0 51.6 14.7 -7.3 4.8 26.1 17.2 23.7 -1.2 3.8 -6.1 100.0 54.1 14 23.9 31.9 25.5 66.3 10.3 22.0 34.1 31.2 38.2 -1.0 -7.3 -21.0 54.1 100.0 TOTAL CORRELATION TO TARGET (diagonal) 178.51805 TOTAL CORRELATION OF ALL VARIABLES 77.1257574 ROUND 1: MAX CORR ( 77.118865) AFTER KILLING INPUT VARIABLE 8 CONTR 1.03107296 ROUND 2: MAX CORR ( 77.113985) AFTER KILLING INPUT VARIABLE 6 CONTR 0.867557084 ROUND 3: MAX CORR ( 77.1029715) AFTER KILLING INPUT VARIABLE 11 CONTR 1.30325722 ROUND 4: MAX CORR ( 77.0843868) AFTER KILLING INPUT VARIABLE 14 CONTR 1.69278525 ROUND 5: MAX CORR ( 77.0451346) AFTER KILLING INPUT VARIABLE 2 CONTR 2.45965761 ROUND 6: MAX CORR ( 76.8160234) AFTER KILLING INPUT VARIABLE 10 CONTR 5.9372825 ROUND 7: MAX CORR ( 76.4223708) AFTER KILLING INPUT VARIABLE 12 CONTR 7.76676843 ROUND 8: MAX CORR ( 75.5036506) AFTER KILLING INPUT VARIABLE 13 CONTR 11.8142922 ROUND 9: MAX CORR ( 74.4337947) AFTER KILLING INPUT VARIABLE 9 CONTR 12.6653645 ROUND 10: MAX CORR ( 73.9000201) AFTER KILLING INPUT VARIABLE 3 CONTR 8.8981362 ROUND 11: MAX CORR ( 72.843538) AFTER KILLING INPUT VARIABLE 4 CONTR 12.451182 ROUND 12: MAX CORR ( 67.4160013) AFTER KILLING INPUT VARIABLE 5 CONTR 27.5910095 LAST REMAINING VARIABLE: 7 total correlation to target: 77.1257574 % total significance: 72.2608438 sigma correlations of single variables to target: variable 2: 70.403993 % , in sigma: 65.9630727 variable 3: 54.9216128 % , in sigma: 51.4572851 variable 4: 56.9349697 % , in sigma: 53.3436441 variable 5: 38.3215971 % , in sigma: 35.9043598 variable 6: 58.8929123 % , in sigma: 55.1780843 variable 7: 67.4160013 % , in sigma: 63.1635566 variable 8: 61.0262692 % , in sigma: 57.1768739 variable 9: 69.4524763 % , in sigma: 65.0715754 variable 10: -27.0868769 % , in sigma: 25.3782996 variable 11: -16.2049163 % , in sigma: 15.1827478 variable 12: -31.4277688 % , in sigma: 29.4453782 variable 13: 8.43168537 % , in sigma: 7.89983425 variable 14: 23.8581671 % , in sigma: 22.3532494 variables sorted by significance: 1 most relevant variable 7 corr 67.4160004 , in sigma: 63.1635557 2 most relevant variable 5 corr 27.5910091 , in sigma: 25.8506324 3 most relevant variable 4 corr 12.4511824 , in sigma: 11.6657907 4 most relevant variable 3 corr 8.89813614 , in sigma: 8.33686239 5 most relevant variable 9 corr 12.6653643 , in sigma: 11.8664625 6 most relevant variable 13 corr 11.814292 , in sigma: 11.0690739 7 most relevant variable 12 corr 7.76676846 , in sigma: 7.27685875 8 most relevant variable 10 corr 5.93728256 , in sigma: 5.56277257 9 most relevant variable 2 corr 2.45965767 , in sigma: 2.30450818 10 most relevant variable 14 corr 1.69278526 , in sigma: 1.5860083 11 most relevant variable 11 corr 1.30325723 , in sigma: 1.22105079 12 most relevant variable 6 corr 0.867557108 , in sigma: 0.812833622 13 most relevant variable 8 corr 1.03107297 , in sigma: 0.966035287 global correlations between input variables: variable 2: 99.158239 % variable 3: 91.054875 % variable 4: 91.9854195 % variable 5: 95.4909864 % variable 6: 96.3837467 % variable 7: 98.6978265 % variable 8: 90.584498 % variable 9: 98.6931419 % variable 10: 71.0743165 % variable 11: 55.9373211 % variable 12: 71.362413 % variable 13: 85.1252762 % variable 14: 88.5754416 % significance loss when removing single variables: variable 2: corr = 1.52927338 % , sigma = 1.43281036 variable 3: corr = 17.1654434 % , sigma = 16.0826871 variable 4: corr = 13.6647626 % , sigma = 12.8028212 variable 5: corr = 14.8071525 % , sigma = 13.8731518 variable 6: corr = 1.16852515 % , sigma = 1.0948173 variable 7: corr = 8.79392206 % , sigma = 8.23922189 variable 8: corr = 1.03107296 % , sigma = 0.966035275 variable 9: corr = 10.5422681 % , sigma = 9.87728634 variable 10: corr = 4.93093537 % , sigma = 4.61990343 variable 11: corr = 1.20940162 % , sigma = 1.13311538 variable 12: corr = 6.25797649 % , sigma = 5.86323788 variable 13: corr = 6.8773392 % , sigma = 6.44353262 variable 14: corr = 1.64991074 % , sigma = 1.54583821 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 10.8700428 sigma out 15 active outputs RANK 2 NODE 6 --> 10.6208315 sigma out 15 active outputs RANK 3 NODE 3 --> 8.51771164 sigma out 15 active outputs RANK 4 NODE 9 --> 8.10657692 sigma out 15 active outputs RANK 5 NODE 8 --> 7.58996105 sigma out 15 active outputs RANK 6 NODE 7 --> 6.06019402 sigma out 15 active outputs RANK 7 NODE 2 --> 5.61325932 sigma out 15 active outputs RANK 8 NODE 5 --> 4.68921232 sigma out 15 active outputs RANK 9 NODE 4 --> 4.64011383 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 14.337903 sigma in 9act. ( 16.0634022 sig out 1act.) RANK 2 NODE 1 --> 8.86345673 sigma in 9act. ( 8.74784565 sig out 1act.) RANK 3 NODE 11 --> 7.19339466 sigma in 9act. ( 7.4875164 sig out 1act.) RANK 4 NODE 15 --> 7.00196075 sigma in 9act. ( 6.71377897 sig out 1act.) RANK 5 NODE 7 --> 6.35218096 sigma in 9act. ( 5.32037449 sig out 1act.) RANK 6 NODE 9 --> 6.19731236 sigma in 9act. ( 6.33597279 sig out 1act.) RANK 7 NODE 12 --> 4.97441387 sigma in 9act. ( 4.51199102 sig out 1act.) RANK 8 NODE 5 --> 4.25272608 sigma in 9act. ( 4.70704031 sig out 1act.) RANK 9 NODE 8 --> 2.7293458 sigma in 9act. ( 2.82616496 sig out 1act.) RANK 10 NODE 6 --> 2.21825314 sigma in 9act. ( 2.21400309 sig out 1act.) RANK 11 NODE 2 --> 2.18129754 sigma in 9act. ( 1.33095157 sig out 1act.) RANK 12 NODE 3 --> 2.08474326 sigma in 9act. ( 1.92261052 sig out 1act.) RANK 13 NODE 14 --> 2.04110813 sigma in 9act. ( 1.79492199 sig out 1act.) RANK 14 NODE 4 --> 1.8565371 sigma in 9act. ( 2.00238371 sig out 1act.) RANK 15 NODE 13 --> 1.73387003 sigma in 9act. ( 0.0891238898 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 16.0634022 sigma out 1act.( 14.337903 sig in 9act.) RANK 2 NODE 1 --> 8.74784565 sigma out 1act.( 8.86345673 sig in 9act.) RANK 3 NODE 11 --> 7.4875164 sigma out 1act.( 7.19339466 sig in 9act.) RANK 4 NODE 15 --> 6.71377897 sigma out 1act.( 7.00196075 sig in 9act.) RANK 5 NODE 9 --> 6.33597279 sigma out 1act.( 6.19731236 sig in 9act.) RANK 6 NODE 7 --> 5.32037449 sigma out 1act.( 6.35218096 sig in 9act.) RANK 7 NODE 5 --> 4.70704031 sigma out 1act.( 4.25272608 sig in 9act.) RANK 8 NODE 12 --> 4.51199102 sigma out 1act.( 4.97441387 sig in 9act.) RANK 9 NODE 8 --> 2.82616496 sigma out 1act.( 2.7293458 sig in 9act.) RANK 10 NODE 6 --> 2.21400309 sigma out 1act.( 2.21825314 sig in 9act.) RANK 11 NODE 4 --> 2.00238371 sigma out 1act.( 1.8565371 sig in 9act.) RANK 12 NODE 3 --> 1.92261052 sigma out 1act.( 2.08474326 sig in 9act.) RANK 13 NODE 14 --> 1.79492199 sigma out 1act.( 2.04110813 sig in 9act.) RANK 14 NODE 2 --> 1.33095157 sigma out 1act.( 2.18129754 sig in 9act.) RANK 15 NODE 13 --> 0.0891238898 sigma out 1act.( 1.73387003 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.9218884 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 14.8511753 sigma out 15 active outputs RANK 2 NODE 6 --> 11.2269468 sigma out 15 active outputs RANK 3 NODE 1 --> 10.5419483 sigma out 15 active outputs RANK 4 NODE 9 --> 10.1061916 sigma out 15 active outputs RANK 5 NODE 3 --> 10.0115261 sigma out 15 active outputs RANK 6 NODE 8 --> 9.68483067 sigma out 15 active outputs RANK 7 NODE 7 --> 9.16496086 sigma out 15 active outputs RANK 8 NODE 4 --> 6.62137175 sigma out 15 active outputs RANK 9 NODE 5 --> 5.92890739 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 14.1439934 sigma in 9act. ( 15.2095957 sig out 1act.) RANK 2 NODE 8 --> 9.77918434 sigma in 9act. ( 4.25829315 sig out 1act.) RANK 3 NODE 1 --> 9.75882626 sigma in 9act. ( 8.21558952 sig out 1act.) RANK 4 NODE 9 --> 8.84717464 sigma in 9act. ( 6.2442708 sig out 1act.) RANK 5 NODE 11 --> 8.23671532 sigma in 9act. ( 8.4908762 sig out 1act.) RANK 6 NODE 15 --> 7.72672224 sigma in 9act. ( 5.90729284 sig out 1act.) RANK 7 NODE 5 --> 7.36058664 sigma in 9act. ( 5.07496595 sig out 1act.) RANK 8 NODE 4 --> 7.29294872 sigma in 9act. ( 3.06042099 sig out 1act.) RANK 9 NODE 6 --> 6.8541069 sigma in 9act. ( 2.9338069 sig out 1act.) RANK 10 NODE 7 --> 6.52223444 sigma in 9act. ( 4.03805399 sig out 1act.) RANK 11 NODE 3 --> 5.84627485 sigma in 9act. ( 3.39357352 sig out 1act.) RANK 12 NODE 12 --> 5.82796001 sigma in 9act. ( 3.82645798 sig out 1act.) RANK 13 NODE 13 --> 5.37178087 sigma in 9act. ( 0.742381334 sig out 1act.) RANK 14 NODE 2 --> 4.41367674 sigma in 9act. ( 1.66101515 sig out 1act.) RANK 15 NODE 14 --> 2.60480642 sigma in 9act. ( 1.10635412 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 15.2095957 sigma out 1act.( 14.1439934 sig in 9act.) RANK 2 NODE 11 --> 8.4908762 sigma out 1act.( 8.23671532 sig in 9act.) RANK 3 NODE 1 --> 8.21558952 sigma out 1act.( 9.75882626 sig in 9act.) RANK 4 NODE 9 --> 6.2442708 sigma out 1act.( 8.84717464 sig in 9act.) RANK 5 NODE 15 --> 5.90729284 sigma out 1act.( 7.72672224 sig in 9act.) RANK 6 NODE 5 --> 5.07496595 sigma out 1act.( 7.36058664 sig in 9act.) RANK 7 NODE 8 --> 4.25829315 sigma out 1act.( 9.77918434 sig in 9act.) RANK 8 NODE 7 --> 4.03805399 sigma out 1act.( 6.52223444 sig in 9act.) RANK 9 NODE 12 --> 3.82645798 sigma out 1act.( 5.82796001 sig in 9act.) RANK 10 NODE 3 --> 3.39357352 sigma out 1act.( 5.84627485 sig in 9act.) RANK 11 NODE 4 --> 3.06042099 sigma out 1act.( 7.29294872 sig in 9act.) RANK 12 NODE 6 --> 2.9338069 sigma out 1act.( 6.8541069 sig in 9act.) RANK 13 NODE 2 --> 1.66101515 sigma out 1act.( 4.41367674 sig in 9act.) RANK 14 NODE 14 --> 1.10635412 sigma out 1act.( 2.60480642 sig in 9act.) RANK 15 NODE 13 --> 0.742381334 sigma out 1act.( 5.37178087 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.5301838 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.426756114 *** contribution from regularisation: 0.0119510842 *** contribution from error: -0.438707203 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.487712294 *** contribution from regularisation: 0.00508652162 *** contribution from error: -0.492798805 *********************************************** -----------------> Test sample ENTER BFGS code START -11480.6623 -0.753243625 0.153831258 EXIT FROM BFGS code FG_START 0. -0.753243625 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.508950591 *** contribution from regularisation: 0.00453893607 *** contribution from error: -0.513489544 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -11978.1516 -0.753243625 -4.989007 EXIT FROM BFGS code FG_LNSRCH 0. -0.75595206 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.572430432 *** contribution from regularisation: 0.00722511066 *** contribution from error: -0.579655528 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13472.1503 -0.75595206 9.4923048 EXIT FROM BFGS code NEW_X -13472.1503 -0.75595206 9.4923048 ENTER BFGS code NEW_X -13472.1503 -0.75595206 9.4923048 EXIT FROM BFGS code FG_LNSRCH 0. -0.746209085 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.582589567 *** contribution from regularisation: 0.00866689719 *** contribution from error: -0.59125644 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13711.245 -0.746209085 -0.653900504 EXIT FROM BFGS code NEW_X -13711.245 -0.746209085 -0.653900504 ENTER BFGS code NEW_X -13711.245 -0.746209085 -0.653900504 EXIT FROM BFGS code FG_LNSRCH 0. -0.746825278 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.585527539 *** contribution from regularisation: 0.00803168863 *** contribution from error: -0.593559206 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13780.3901 -0.746825278 3.25500464 EXIT FROM BFGS code NEW_X -13780.3901 -0.746825278 3.25500464 ENTER BFGS code NEW_X -13780.3901 -0.746825278 3.25500464 EXIT FROM BFGS code FG_LNSRCH 0. -0.731622696 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.587124228 *** contribution from regularisation: 0.00730799371 *** contribution from error: -0.594432235 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13817.9692 -0.731622696 3.97060299 EXIT FROM BFGS code NEW_X -13817.9692 -0.731622696 3.97060299 ENTER BFGS code NEW_X -13817.9692 -0.731622696 3.97060299 EXIT FROM BFGS code FG_LNSRCH 0. -0.719523668 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.58730346 *** contribution from regularisation: 0.00720662018 *** contribution from error: -0.594510078 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13822.1866 -0.719523668 10.0631456 EXIT FROM BFGS code NEW_X -13822.1866 -0.719523668 10.0631456 ENTER BFGS code NEW_X -13822.1866 -0.719523668 10.0631456 EXIT FROM BFGS code FG_LNSRCH 0. -0.651805878 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.587988853 *** contribution from regularisation: 0.00630269106 *** contribution from error: -0.594291568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13838.3183 -0.651805878 19.9130497 EXIT FROM BFGS code NEW_X -13838.3183 -0.651805878 19.9130497 ENTER BFGS code NEW_X -13838.3183 -0.651805878 19.9130497 EXIT FROM BFGS code FG_LNSRCH 0. -0.299471676 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 20.1128883 sigma out 15 active outputs RANK 2 NODE 8 --> 11.2158928 sigma out 15 active outputs RANK 3 NODE 7 --> 11.1710644 sigma out 15 active outputs RANK 4 NODE 6 --> 10.9534597 sigma out 15 active outputs RANK 5 NODE 4 --> 10.5613384 sigma out 15 active outputs RANK 6 NODE 1 --> 9.14690781 sigma out 15 active outputs RANK 7 NODE 5 --> 7.26399374 sigma out 15 active outputs RANK 8 NODE 3 --> 7.1635294 sigma out 15 active outputs RANK 9 NODE 9 --> 6.61987782 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 23.6164513 sigma in 9act. ( 23.1839561 sig out 1act.) RANK 2 NODE 6 --> 12.3489504 sigma in 9act. ( 9.6736517 sig out 1act.) RANK 3 NODE 4 --> 10.101779 sigma in 9act. ( 9.47381592 sig out 1act.) RANK 4 NODE 3 --> 8.13158703 sigma in 9act. ( 6.39365768 sig out 1act.) RANK 5 NODE 5 --> 7.70738697 sigma in 9act. ( 7.35171032 sig out 1act.) RANK 6 NODE 11 --> 7.0320344 sigma in 9act. ( 5.97093201 sig out 1act.) RANK 7 NODE 13 --> 5.81352329 sigma in 9act. ( 5.24102259 sig out 1act.) RANK 8 NODE 2 --> 5.8030777 sigma in 9act. ( 5.43894053 sig out 1act.) RANK 9 NODE 10 --> 5.15092468 sigma in 9act. ( 4.78252506 sig out 1act.) RANK 10 NODE 9 --> 5.07049894 sigma in 9act. ( 4.40329552 sig out 1act.) RANK 11 NODE 1 --> 2.45246744 sigma in 9act. ( 0.884487987 sig out 1act.) RANK 12 NODE 15 --> 1.6002903 sigma in 9act. ( 0.264827967 sig out 1act.) RANK 13 NODE 7 --> 1.32961023 sigma in 9act. ( 1.80955374 sig out 1act.) RANK 14 NODE 12 --> 0.905744374 sigma in 9act. ( 0.361553609 sig out 1act.) RANK 15 NODE 14 --> 0.271953374 sigma in 9act. ( 0.149293125 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 23.1839561 sigma out 1act.( 23.6164513 sig in 9act.) RANK 2 NODE 6 --> 9.6736517 sigma out 1act.( 12.3489504 sig in 9act.) RANK 3 NODE 4 --> 9.47381592 sigma out 1act.( 10.101779 sig in 9act.) RANK 4 NODE 5 --> 7.35171032 sigma out 1act.( 7.70738697 sig in 9act.) RANK 5 NODE 3 --> 6.39365768 sigma out 1act.( 8.13158703 sig in 9act.) RANK 6 NODE 11 --> 5.97093201 sigma out 1act.( 7.0320344 sig in 9act.) RANK 7 NODE 2 --> 5.43894053 sigma out 1act.( 5.8030777 sig in 9act.) RANK 8 NODE 13 --> 5.24102259 sigma out 1act.( 5.81352329 sig in 9act.) RANK 9 NODE 10 --> 4.78252506 sigma out 1act.( 5.15092468 sig in 9act.) RANK 10 NODE 9 --> 4.40329552 sigma out 1act.( 5.07049894 sig in 9act.) RANK 11 NODE 7 --> 1.80955374 sigma out 1act.( 1.32961023 sig in 9act.) RANK 12 NODE 1 --> 0.884487987 sigma out 1act.( 2.45246744 sig in 9act.) RANK 13 NODE 12 --> 0.361553609 sigma out 1act.( 0.905744374 sig in 9act.) RANK 14 NODE 15 --> 0.264827967 sigma out 1act.( 1.6002903 sig in 9act.) RANK 15 NODE 14 --> 0.149293125 sigma out 1act.( 0.271953374 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 30.9030571 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.577908278 *** contribution from regularisation: 0.00490996661 *** contribution from error: -0.58281827 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -13601.0713 -0.299471676 15.3999376 EXIT FROM BFGS code FG_LNSRCH 0. -0.585177779 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.579235613 *** contribution from regularisation: 0.0146611584 *** contribution from error: -0.593896747 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13632.3106 -0.585177779 21.2662735 EXIT FROM BFGS code FG_LNSRCH 0. -0.650515556 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.587488949 *** contribution from regularisation: 0.00679825526 *** contribution from error: -0.594287217 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13826.5521 -0.650515556 20.1973114 EXIT FROM BFGS code FG_LNSRCH 0. -0.651797056 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.586693823 *** contribution from regularisation: 0.00759773655 *** contribution from error: -0.594291568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13807.8384 -0.651797056 19.516119 EXIT FROM BFGS code FG_LNSRCH 0. -0.651805878 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.586992621 *** contribution from regularisation: 0.00729894685 *** contribution from error: -0.594291568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13814.8714 -0.651805878 19.6890583 EXIT FROM BFGS code FG_LNSRCH 0. -0.651805878 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.586870849 *** contribution from regularisation: 0.00742072333 *** contribution from error: -0.594291568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13812.0054 -0.651805878 19.6076546 EXIT FROM BFGS code FG_LNSRCH 0. -0.651805878 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.587074161 *** contribution from regularisation: 0.00721738394 *** contribution from error: -0.594291568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13816.791 -0.651805878 19.7208462 EXIT FROM BFGS code FG_LNSRCH 0. -0.651805878 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.586874783 *** contribution from regularisation: 0.0074167843 *** contribution from error: -0.594291568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13812.0981 -0.651805878 19.6453209 EXIT FROM BFGS code NEW_X -13812.0981 -0.651805878 19.6453209 ENTER BFGS code NEW_X -13812.0981 -0.651805878 19.6453209 EXIT FROM BFGS code CONVERGENC -13812.0981 -0.651805878 19.6453209 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 33.6016121 sigma out 15 active outputs RANK 2 NODE 1 --> 20.5180645 sigma out 15 active outputs RANK 3 NODE 8 --> 14.9160128 sigma out 15 active outputs RANK 4 NODE 7 --> 14.033802 sigma out 15 active outputs RANK 5 NODE 9 --> 10.3762779 sigma out 15 active outputs RANK 6 NODE 4 --> 9.59922028 sigma out 15 active outputs RANK 7 NODE 3 --> 9.10614777 sigma out 15 active outputs RANK 8 NODE 5 --> 8.98852634 sigma out 15 active outputs RANK 9 NODE 6 --> 7.89863682 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 27.4944782 sigma in 9act. ( 21.9259987 sig out 1act.) RANK 2 NODE 4 --> 17.8606739 sigma in 9act. ( 13.7747822 sig out 1act.) RANK 3 NODE 3 --> 16.9816742 sigma in 9act. ( 11.4251642 sig out 1act.) RANK 4 NODE 6 --> 14.9916553 sigma in 9act. ( 11.2078199 sig out 1act.) RANK 5 NODE 5 --> 13.316328 sigma in 9act. ( 10.1967039 sig out 1act.) RANK 6 NODE 11 --> 11.4836035 sigma in 9act. ( 8.77584934 sig out 1act.) RANK 7 NODE 9 --> 11.3541384 sigma in 9act. ( 8.61650085 sig out 1act.) RANK 8 NODE 13 --> 10.3142099 sigma in 9act. ( 7.51034546 sig out 1act.) RANK 9 NODE 10 --> 9.32704735 sigma in 9act. ( 8.28909588 sig out 1act.) RANK 10 NODE 2 --> 8.8496418 sigma in 9act. ( 6.47711372 sig out 1act.) RANK 11 NODE 1 --> 7.00952959 sigma in 9act. ( 6.98915672 sig out 1act.) RANK 12 NODE 15 --> 4.82926369 sigma in 9act. ( 3.4900527 sig out 1act.) RANK 13 NODE 7 --> 3.78141975 sigma in 9act. ( 2.15661073 sig out 1act.) RANK 14 NODE 12 --> 2.98816895 sigma in 9act. ( 1.48691654 sig out 1act.) RANK 15 NODE 14 --> 1.35741854 sigma in 9act. ( 0.265235484 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 21.9259987 sigma out 1act.( 27.4944782 sig in 9act.) RANK 2 NODE 4 --> 13.7747822 sigma out 1act.( 17.8606739 sig in 9act.) RANK 3 NODE 3 --> 11.4251642 sigma out 1act.( 16.9816742 sig in 9act.) RANK 4 NODE 6 --> 11.2078199 sigma out 1act.( 14.9916553 sig in 9act.) RANK 5 NODE 5 --> 10.1967039 sigma out 1act.( 13.316328 sig in 9act.) RANK 6 NODE 11 --> 8.77584934 sigma out 1act.( 11.4836035 sig in 9act.) RANK 7 NODE 9 --> 8.61650085 sigma out 1act.( 11.3541384 sig in 9act.) RANK 8 NODE 10 --> 8.28909588 sigma out 1act.( 9.32704735 sig in 9act.) RANK 9 NODE 13 --> 7.51034546 sigma out 1act.( 10.3142099 sig in 9act.) RANK 10 NODE 1 --> 6.98915672 sigma out 1act.( 7.00952959 sig in 9act.) RANK 11 NODE 2 --> 6.47711372 sigma out 1act.( 8.8496418 sig in 9act.) RANK 12 NODE 15 --> 3.4900527 sigma out 1act.( 4.82926369 sig in 9act.) RANK 13 NODE 7 --> 2.15661073 sigma out 1act.( 3.78141975 sig in 9act.) RANK 14 NODE 12 --> 1.48691654 sigma out 1act.( 2.98816895 sig in 9act.) RANK 15 NODE 14 --> 0.265235484 sigma out 1act.( 1.35741854 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 37.6417885 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.587043464 *** contribution from regularisation: 0.00724812038 *** contribution from error: -0.594291568 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done