NNInput NNInputs_145.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= 17202 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 = 4371 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4371 Chosen entries: 4371 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.340659 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4371 Entries to split: 4371 Test with : 2185 Train with : 2185 ********************************************* * 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= 4371 for Signal Prepared event 0 for Signal with 4371 events ====Entry 0 Variable Ht : 139.923 Variable LepAPt : 40.5389 Variable LepBPt : 28.3546 Variable MetSigLeptonsJets : 6.07516 Variable MetSpec : 40.1305 Variable SumEtLeptonsJets : 84.1829 Variable VSumJetLeptonsPt : 58.3623 Variable addEt : 124.634 Variable dPhiLepSumMet : 3.06039 Variable dPhiLeptons : 0.0282178 Variable dRLeptons : 0.46486 Variable lep1_E : 47.4282 Variable lep2_E : 45.0884 ===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 = 2145 Ht = 139.923 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 40.5389 LepAPt = 40.5389 LepBEt = 28.3548 LepBPt = 28.3546 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 55.7403 MetDelPhi = 0.803737 MetSig = 4.75688 MetSigLeptonsJets = 6.07516 MetSpec = 40.1305 Mjj = 0 MostCentralJetEta = 1.28756 MtllMet = 135.717 Njets = 1 SB = 0 SumEt = 137.307 SumEtJets = 0 SumEtLeptonsJets = 84.1829 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 58.3623 addEt = 124.634 dPhiLepSumMet = 3.06039 dPhiLeptons = 0.0282178 dRLeptons = 0.46486 diltype = 58 dimass = 15.903 event = 36 jet1_Et = 15.2893 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 47.4282 lep2_E = 45.0884 rand = 0.999742 run = 236517 weight = 3.21233e-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= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===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 = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 2.47193 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 391 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 17202 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 391 negative weights. Signal fraction: 74.9265366 % ------------------------------ 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 56.6901665 62.794136 66.3933029 69.5412827 70.3603516 71.3599472 73.0163116 74.1793823 75.0536194 75.2408905 76.6518631 77.0271454 77.1511993 79.3469391 79.7734604 80.9586945 81.008667 82.1891708 83.3727646 84.0870819 84.7588501 86.6954346 87.8146439 88.5491257 89.3338013 90.638237 91.651619 92.839035 92.9293976 93.5636978 94.0736008 95.2343063 96.3211594 97.3547211 98.4771729 99.4599152 99.9372864 100.827942 101.942924 102.759254 103.865685 104.892075 105.624275 106.312904 107.10762 108.358521 109.213333 110.387146 111.36377 112.416565 113.3871 114.194229 115.24247 116.177719 117.3255 118.518005 119.850479 120.984985 121.728607 122.958618 123.979477 124.917694 125.701492 126.44693 127.613548 128.81749 130.068481 131.336487 132.553192 133.473877 135.102905 136.911667 138.358887 139.470901 140.974091 142.49231 144.070969 145.820343 147.860016 150.06543 151.850281 154.369171 156.763306 158.692993 159.549286 161.980713 164.778061 167.045746 170.745361 174.524475 178.057068 181.537888 185.457199 191.18457 196.601715 203.918213 213.03833 227.171799 250.034668 280.271484 524.602539 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.4324837 20.7413673 21.0419292 21.2082062 21.43153 21.5000381 21.6360569 21.8418121 22.2073212 22.3902473 22.6392097 22.8153648 22.9998055 23.127512 23.4092445 23.6053123 23.8081512 23.9623413 24.2437572 24.471344 24.6716175 24.8796444 25.0378113 25.3211098 25.4966278 25.5666752 25.6530075 25.9399529 26.195591 26.2854195 26.4287758 26.6699028 26.949028 27.0885811 27.2165985 27.31744 27.5616722 27.7849884 27.8643894 28.1143303 28.3347282 28.5106659 28.6862183 28.8800926 29.0485115 29.2280083 29.5061874 29.7477303 29.7894211 30.041832 30.1793671 30.4145184 30.5948658 30.7412071 30.9613762 31.2540894 31.4530659 31.6734638 31.8586502 32.1426773 32.3648872 32.6487579 32.8320084 33.1224937 33.2205124 33.5071335 33.6175728 33.8377647 34.0318832 34.3346786 34.6231117 34.8810158 35.1394424 35.4326935 35.6508713 35.9842987 36.2331085 36.5620728 36.6674576 36.9406128 37.2356262 37.6588554 38.0450668 38.5770798 38.8967476 39.3752594 39.7731285 40.3026733 40.9297981 41.4497108 42.066391 43.1304626 44.0645752 45.39711 46.5160904 47.8007202 48.7756195 51.2971115 55.8126984 95.002533 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1711273 10.3374805 10.4300594 10.4501266 10.492897 10.5528507 10.713892 10.7918663 10.8945293 10.9903364 11.2505665 11.4339037 11.4814959 11.5454998 11.6374512 11.7353058 11.8479586 11.9973545 12.189909 12.3060036 12.3614874 12.5027695 12.6670132 12.7817898 13.012496 13.224165 13.5249329 13.6650858 13.7454309 13.7758827 13.8332453 14.0234203 14.2047415 14.5212975 14.7348986 14.9896469 15.2617903 15.5254669 15.677371 15.8273993 15.9522381 16.181778 16.4297638 16.7056465 16.8066254 16.9301128 17.1697178 17.428463 17.6411896 17.90765 18.1262894 18.42342 18.7999744 19.0249367 19.2696304 19.5345039 19.7255001 19.9846725 20.1445274 20.2314415 20.344862 20.5137539 20.657135 20.708662 20.9213772 21.0998688 21.2331963 21.4233131 21.560112 21.7767982 21.9917488 22.1545258 22.3943863 22.6650925 22.7326126 22.8567181 23.0629425 23.2839088 23.5319138 23.7987938 24.0643463 24.3203659 24.5274429 24.866848 25.0375252 25.3081627 25.5638714 25.7927399 26.0722618 26.3633137 26.6834221 27.015728 27.4875164 28.0877266 28.6528702 29.370491 30.0966244 30.7798195 32.3746338 39.6226997 ------------------------------ Transdef: Tab for variable 5 2.06173635 3.07845592 3.45984602 3.70191956 3.80704904 4.029387 4.23910046 4.44173527 4.60529327 4.68295193 4.79123306 4.88546181 4.93044567 5.01084328 5.12427282 5.16775513 5.28036737 5.32691479 5.37870216 5.42662144 5.4617691 5.51405907 5.53855896 5.55382586 5.631814 5.70158005 5.77736092 5.8559556 5.91739464 5.981287 6.01281929 6.06188822 6.14674568 6.2249155 6.28144836 6.32299376 6.38490009 6.46180964 6.50427961 6.56254959 6.60837936 6.64451313 6.66418076 6.72587109 6.7753067 6.80811119 6.86064625 6.87315941 6.87872028 6.92995358 6.97360229 7.0107851 7.05573082 7.07939005 7.12395096 7.1594758 7.18814564 7.2102685 7.2276783 7.28135872 7.3235898 7.36954689 7.39396286 7.40611076 7.43697262 7.50437403 7.55554152 7.61113167 7.65966272 7.71285295 7.77212238 7.8328619 7.88519764 7.94423914 7.98001766 8.04502869 8.0847683 8.13577652 8.18989563 8.21125126 8.23936081 8.32992649 8.39038467 8.43557167 8.53019142 8.61440086 8.70538521 8.75406456 8.8204813 8.85814571 8.95089436 9.06705189 9.18414116 9.31087875 9.41021729 9.52166653 9.69561291 9.98633385 10.2943134 10.8705463 16.5237236 ------------------------------ Transdef: Tab for variable 6 25.0127583 26.9327202 27.6325188 28.944725 29.7826443 30.7098503 31.2579384 31.7366943 32.279438 32.6640091 33.3232727 34.2173996 34.6990891 34.8910141 35.509388 36.0113297 36.5102158 36.8845215 37.5800247 37.9266205 38.6567307 38.8410912 39.6464348 40.1005478 40.4249344 41.1768188 42.024395 42.4216347 42.6328392 42.8842392 43.102253 43.5473595 44.0270195 44.3494492 44.89814 45.4831619 45.8539352 46.3789253 46.80513 47.0610008 47.3881683 47.8196106 48.0597229 48.2350922 48.570652 49.0646057 49.4312782 49.7614136 50.1977921 50.4404526 50.9830933 51.737072 52.1669846 52.8377991 53.5239105 53.9528885 54.3657455 54.6392746 55.1328201 55.3788261 55.9714127 56.297905 56.7872849 57.2824631 57.5422287 57.9884186 58.4553299 59.2949448 59.8634262 60.4001999 61.101387 61.8197937 62.303299 62.8631439 63.4811249 64.0017929 64.6693878 65.3366547 65.861763 66.3775482 66.981369 67.8154602 68.6448212 69.4833755 70.4806213 71.3042297 72.0790863 73.1369019 74.0580292 75.1327515 76.1842346 78.3881378 80.2484436 82.3298187 84.0933075 87.3877411 90.9852142 95.2344589 101.198288 114.607826 178.020065 ------------------------------ Transdef: Tab for variable 7 30.250906 32.6107712 33.6397858 34.5286102 34.7492981 35.4067612 36.1392975 36.8768692 37.3840561 37.6551437 38.3865814 38.5676231 38.9198761 39.1590424 39.3496399 39.5688133 40.0794258 40.3365517 40.6196327 41.3196182 41.733242 42.1673012 42.7735596 43.3264313 43.9089432 44.4328079 44.6450615 45.1981201 45.4655304 45.7996178 46.2020645 46.7673569 47.3987732 48.2505493 48.597847 49.1673737 49.5959473 50.3990555 50.9522934 51.7902527 52.5972061 53.4638023 54.1712494 54.7104721 55.3474121 55.9789276 56.5128174 57.1481133 57.6969299 58.2094193 58.613575 58.8659172 59.4177246 60.2340736 61.0124741 61.7467346 62.386673 62.8986282 63.6626434 64.6975937 65.4123993 66.084198 66.9165802 67.8602371 68.6585846 69.3158417 70.1904755 71.2035065 72.0429153 73.1540375 74.6714478 75.7371826 76.5745621 76.9634781 78.2507477 79.6444397 81.4987488 82.9506683 84.0991516 85.7417297 87.4575272 88.8972626 90.2840881 92.4968872 94.4869461 95.938858 98.4775696 100.821548 103.61937 106.310928 108.971054 112.231949 115.726059 117.820618 122.129837 128.29744 136.354584 143.864456 156.466064 178.866364 309.657013 ------------------------------ Transdef: Tab for variable 8 7.61970854 25.4365082 30.177887 31.2935696 31.9989014 32.9480972 33.4348679 33.791008 33.8570824 34.3736916 34.9665642 35.4343529 35.7761841 36.1640434 36.837265 37.1333733 37.5887299 37.8209 38.2090836 38.5405083 38.7015648 38.9037628 38.962616 39.2818642 39.5878296 39.6702271 39.8053207 40.0815048 40.7660294 41.0563278 41.670166 42.2262306 42.5520096 42.9852905 43.0823898 43.4730682 43.7162247 44.0109138 44.4794502 44.8392715 45.281044 45.4711685 46.0672913 46.3309555 46.8220139 47.3464508 47.8827133 48.2459564 48.7490005 49.2593918 49.436409 49.9730225 50.3369904 50.8263016 51.3184433 51.7339287 52.2204895 52.8517532 53.2964096 53.7136307 54.1628799 54.5669937 54.962616 55.4912415 55.982151 56.4321365 56.8322334 57.3769798 57.8857956 58.1504135 58.4865608 58.983078 59.7163773 60.2604828 60.8560791 61.5191231 62.085659 62.5505142 63.0192261 63.6638184 64.3470764 65.1458206 65.7771912 66.7116241 67.7491455 68.7605438 69.7007523 70.9193954 71.9921265 73.5384064 74.2795105 75.5627594 77.7988968 79.6426392 83.0861359 86.1096268 90.1920166 95.7651062 103.968216 114.65229 217.593964 ------------------------------ Transdef: Tab for variable 9 56.6901665 62.794136 66.3933029 69.5412827 69.9088287 70.7036743 71.4719696 73.0320129 74.3119507 75.0536194 75.2408905 76.6523438 77.0276108 77.1511993 78.6254654 79.3516693 79.7735977 79.8870392 80.9575043 81.2132568 82.1883392 82.7751923 83.6281357 84.5303192 85.0076447 86.3617172 87.3464813 88.3386383 88.6493073 89.225563 90.0613251 90.851593 91.6526031 92.2877884 92.8290482 93.0206757 93.4594879 94.0010529 94.4680023 95.284111 95.9619141 96.6366425 97.3828201 98.1014709 98.7726288 99.6448517 100.134995 100.827942 101.32708 102.204132 102.934845 103.686348 104.425529 105.172104 105.695557 106.336884 106.747437 107.705437 108.686646 109.576469 110.357742 111.202461 111.903526 112.574585 113.321686 114.143585 114.879074 115.505791 116.113129 116.715607 117.151764 117.758263 118.55497 119.439148 120.301865 121.214249 121.997345 122.989494 123.914505 124.634056 125.387619 126.233261 127.401466 128.037781 128.928101 129.943085 130.934189 131.885071 133.188095 134.733704 136.197266 137.74527 139.79451 141.170074 142.901001 145.142853 147.84761 151.821747 158.167267 167.622635 271.540436 ------------------------------ Transdef: Tab for variable 10 0.380347759 1.03567886 1.29512405 1.54941535 1.66453004 1.80289221 1.89520645 1.97263384 2.06510377 2.11837673 2.19443655 2.24405408 2.28182817 2.34415674 2.38019943 2.40983105 2.44730854 2.48502684 2.52218819 2.5453968 2.56722975 2.59542179 2.62238359 2.64386892 2.67042422 2.6919384 2.71840334 2.73943496 2.76101351 2.76840401 2.78801179 2.80118394 2.80957603 2.82597661 2.83227539 2.84174252 2.8487339 2.85410094 2.86250687 2.87316275 2.88023615 2.88590002 2.89633584 2.90434122 2.91310787 2.92144823 2.92847013 2.93856859 2.94719315 2.9502039 2.95862007 2.96452236 2.96873951 2.97672057 2.98006439 2.9881711 2.99423742 3.00250745 3.00531626 3.01168203 3.01371145 3.01610708 3.02183294 3.02515554 3.03037882 3.03463149 3.03736639 3.03966117 3.04436588 3.05103564 3.05588102 3.05894423 3.06318998 3.06610346 3.07116747 3.07186937 3.07306528 3.07483864 3.07716799 3.080971 3.08350587 3.08740091 3.08986044 3.09436178 3.09826708 3.10161114 3.10204744 3.10598397 3.11023664 3.11207581 3.11374569 3.11723661 3.12060213 3.12331295 3.12783575 3.13169551 3.13225818 3.13454199 3.13700724 3.13912964 3.14157486 ------------------------------ Transdef: Tab for variable 11 2.5257792E-05 0.00983381271 0.0196760893 0.0249514244 0.0367460847 0.0470207185 0.051148653 0.0622864962 0.0703285933 0.0772084892 0.086332947 0.0950766206 0.106428504 0.111775018 0.126311541 0.130393744 0.141608715 0.153942227 0.16086483 0.165000677 0.173437208 0.185622394 0.197539687 0.209133029 0.217500687 0.229959965 0.236442447 0.2458359 0.256069779 0.261320591 0.26670742 0.275926709 0.283867419 0.293585777 0.300238848 0.308497787 0.318403661 0.324774981 0.332181394 0.337883234 0.344490588 0.350621402 0.355996311 0.360955954 0.366009951 0.371757746 0.376754403 0.381255627 0.386761069 0.38812393 0.393435717 0.398220688 0.401111662 0.406028926 0.410066366 0.413125992 0.418764591 0.42173624 0.4254691 0.42705965 0.431641698 0.436400175 0.442494392 0.44704178 0.452416688 0.457540035 0.460877925 0.465731323 0.467266709 0.470536172 0.475681663 0.478006124 0.485756338 0.494985104 0.499245822 0.507418156 0.514885426 0.518415332 0.52491945 0.528215766 0.535841465 0.545441389 0.549648046 0.559740543 0.572058201 0.576965094 0.583038151 0.587723374 0.59966445 0.612546027 0.622691631 0.638932943 0.649023056 0.654467821 0.671199203 0.69359839 0.706683278 0.73542726 0.774440289 0.848360538 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.2193266 0.386170208 0.403718978 0.407810301 0.411354542 0.413630486 0.417475283 0.421289206 0.424055785 0.42576766 0.430459142 0.433920264 0.437285125 0.438778102 0.44107461 0.443422884 0.446591198 0.449241281 0.452598989 0.455407202 0.458780289 0.460274577 0.46238786 0.465088129 0.468608558 0.47121346 0.473720878 0.475349844 0.47773838 0.480367124 0.482605755 0.485800326 0.489085197 0.490454853 0.492174894 0.494993508 0.497515112 0.500006557 0.502444088 0.504097044 0.508064389 0.511765778 0.513351083 0.516371965 0.520593047 0.522884667 0.527026474 0.529561698 0.532427609 0.537148178 0.540507495 0.545350194 0.549839377 0.552685559 0.556508541 0.55920279 0.563009918 0.56761229 0.571807027 0.574517787 0.578782678 0.581760764 0.588008404 0.59370786 0.597919941 0.603542805 0.608509123 0.614049196 0.616887927 0.621921062 0.626721203 0.632236958 0.637067199 0.64104867 0.646133304 0.650774956 0.654055357 0.658241868 0.662043095 0.667014241 0.673098922 0.678520143 0.68565166 0.69733417 0.703089654 0.712123394 0.716744542 0.723685086 0.728268981 0.737884521 0.742483318 0.753686666 0.763109922 0.780456841 0.791949272 0.79641223 0.824842811 0.860051274 0.883581758 0.915660977 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.1766129 22.1128864 22.2054329 22.687294 23.3433113 23.6306877 24.3282776 24.7785721 25.3000889 25.4402008 26.0456467 26.4444313 26.8136215 27.0812263 27.3750725 27.862009 28.2501755 28.6132889 28.8530464 29.1585178 29.5542202 29.7580452 29.9946098 30.1814041 30.4005432 30.5724716 30.9047318 31.0123692 31.3949871 31.7534008 32.1337891 32.5045624 32.656414 33.09729 33.4447212 33.7930565 34.1487465 34.5148773 34.7676468 35.0722885 35.2488174 35.4208679 35.5920105 35.8354416 36.1726189 36.3193359 36.6467628 37.2125931 37.6320648 37.8209915 38.4749146 38.8491974 39.3043747 39.5178375 39.9171143 40.4482727 40.6302795 41.0324478 41.2936974 41.6159172 42.0994148 42.5384216 43.0482979 43.5014191 43.8409348 44.3363571 44.9765282 45.5999222 46.0145721 46.4356575 46.5294151 46.9262009 47.5825005 48.1473083 48.4675674 49.1390114 49.7789383 50.4307709 50.8572426 51.3642464 52.0350266 52.4580688 53.3652573 54.4490013 55.3332062 56.5027771 58.1594391 59.45467 60.2455139 62.1815033 64.0443268 66.2389221 67.6580353 70.7210846 73.9353943 77.6518402 80.178421 82.9671021 88.660553 96.9196014 166.649277 ------------------------------ Transdef: Tab for variable 14 10.0093269 10.4429245 10.5843687 10.9593525 11.3316813 11.6219673 11.7327147 11.9825802 12.3149567 12.41819 12.7669811 13.4596386 13.8151321 13.8530331 13.9620657 14.4496498 14.9666309 15.3729992 15.8495865 16.3499794 16.5484505 16.9062119 17.3498497 17.6335258 17.7299652 17.7961884 18.0111179 18.1295242 18.3540001 18.7486916 18.852005 19.0850449 19.2865028 19.4544125 19.7833881 20.0664444 20.355442 20.5787163 20.7237206 20.9840317 21.2141666 21.4705524 21.5551796 21.6659813 21.7486877 22.0124722 22.1376514 22.3537369 22.6156559 22.9651051 23.207489 23.5294285 23.9006805 24.1696186 24.4536152 24.6646233 25.0146141 25.1169395 25.406498 25.6658745 25.9304733 26.0575237 26.4035854 26.7023392 27.0029831 27.2474251 27.4654789 27.6630306 28.0083313 28.2167473 28.3971405 28.8057213 29.1923008 29.5271721 29.8104897 30.1072121 30.5933666 31.0784492 31.5592728 31.7476997 32.1565704 32.7173386 33.2046814 33.6749344 34.1612892 34.7426987 35.2370262 35.8798752 36.5591469 37.3722992 38.3272705 39.4836426 40.8045464 42.2311096 43.7032318 45.2797813 47.3624001 49.4276352 52.3387222 57.3792419 89.625824 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 0.9 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 51.1 26.1 41.8 9.8 33.0 51.3 39.5 47.1 -25.5 -15.9 -19.6 12.2 33.6 2 51.1 100.0 46.0 40.6 30.9 70.2 93.7 72.5 88.6 -45.5 -20.6 -28.1 25.0 27.8 3 26.1 46.0 100.0 18.6 -3.9 20.3 50.2 36.3 54.4 -9.6 -24.9 -39.9 64.2 10.1 4 41.8 40.6 18.6 100.0 8.1 29.3 42.5 41.4 50.1 -2.8 -24.4 -49.2 7.7 79.1 5 9.8 30.9 -3.9 8.1 100.0 81.7 -0.5 46.3 58.8 27.4 -1.8 0.1 -6.6 2.3 6 33.0 70.2 20.3 29.3 81.7 100.0 46.4 73.6 84.4 -3.4 -11.4 -15.5 7.7 18.5 7 51.3 93.7 50.2 42.5 -0.5 46.4 100.0 64.9 74.1 -55.2 -21.6 -29.7 27.7 29.8 8 39.5 72.5 36.3 41.4 46.3 73.6 64.9 100.0 80.7 -11.0 -19.1 -27.5 17.3 28.5 9 47.1 88.6 54.4 50.1 58.8 84.4 74.1 80.7 100.0 -17.4 -23.2 -36.0 29.8 34.5 10 -25.5 -45.5 -9.6 -2.8 27.4 -3.4 -55.2 -11.0 -17.4 100.0 1.2 0.5 -5.8 -2.7 11 -15.9 -20.6 -24.9 -24.4 -1.8 -11.4 -21.6 -19.1 -23.2 1.2 100.0 51.9 -17.8 -24.3 12 -19.6 -28.1 -39.9 -49.2 0.1 -15.5 -29.7 -27.5 -36.0 0.5 51.9 100.0 -25.2 -40.9 13 12.2 25.0 64.2 7.7 -6.6 7.7 27.7 17.3 29.8 -5.8 -17.8 -25.2 100.0 29.9 14 33.6 27.8 10.1 79.1 2.3 18.5 29.8 28.5 34.5 -2.7 -24.3 -40.9 29.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 123.297898 TOTAL CORRELATION OF ALL VARIABLES 57.8086885 ROUND 1: MAX CORR ( 57.8069323) AFTER KILLING INPUT VARIABLE 6 CONTR 0.450599178 ROUND 2: MAX CORR ( 57.7840928) AFTER KILLING INPUT VARIABLE 8 CONTR 1.62481931 ROUND 3: MAX CORR ( 57.7078788) AFTER KILLING INPUT VARIABLE 2 CONTR 2.96683473 ROUND 4: MAX CORR ( 57.6338706) AFTER KILLING INPUT VARIABLE 9 CONTR 2.92168287 ROUND 5: MAX CORR ( 57.5173757) AFTER KILLING INPUT VARIABLE 11 CONTR 3.66258549 ROUND 6: MAX CORR ( 57.272922) AFTER KILLING INPUT VARIABLE 13 CONTR 5.2972557 ROUND 7: MAX CORR ( 57.1148941) AFTER KILLING INPUT VARIABLE 14 CONTR 4.2516426 ROUND 8: MAX CORR ( 56.8849096) AFTER KILLING INPUT VARIABLE 3 CONTR 5.12036955 ROUND 9: MAX CORR ( 56.7165489) AFTER KILLING INPUT VARIABLE 12 CONTR 4.37333174 ROUND 10: MAX CORR ( 56.4339762) AFTER KILLING INPUT VARIABLE 10 CONTR 5.65448904 ROUND 11: MAX CORR ( 55.8474852) AFTER KILLING INPUT VARIABLE 5 CONTR 8.11492852 ROUND 12: MAX CORR ( 51.2786412) AFTER KILLING INPUT VARIABLE 4 CONTR 22.1233487 LAST REMAINING VARIABLE: 7 total correlation to target: 57.8086885 % total significance: 31.3246789 sigma correlations of single variables to target: variable 2: 51.0727939 % , in sigma: 27.6747132 variable 3: 26.1334082 % , in sigma: 14.1608579 variable 4: 41.8176531 % , in sigma: 22.6596484 variable 5: 9.83586424 % , in sigma: 5.32974018 variable 6: 33.0234041 % , in sigma: 17.8943262 variable 7: 51.2786412 % , in sigma: 27.7862552 variable 8: 39.5394842 % , in sigma: 21.4251816 variable 9: 47.1149849 % , in sigma: 25.5301031 variable 10: -25.5258073 % , in sigma: 13.8316184 variable 11: -15.8925975 % , in sigma: 8.61169018 variable 12: -19.553905 % , in sigma: 10.5956356 variable 13: 12.1745862 % , in sigma: 6.5970188 variable 14: 33.5793386 % , in sigma: 18.1955694 variables sorted by significance: 1 most relevant variable 7 corr 51.2786407 , in sigma: 27.786255 2 most relevant variable 4 corr 22.1233482 , in sigma: 11.9879347 3 most relevant variable 5 corr 8.11492825 , in sigma: 4.39722002 4 most relevant variable 10 corr 5.65448904 , in sigma: 3.06398672 5 most relevant variable 12 corr 4.37333155 , in sigma: 2.36976846 6 most relevant variable 3 corr 5.12036943 , in sigma: 2.77456439 7 most relevant variable 14 corr 4.2516427 , in sigma: 2.30382917 8 most relevant variable 13 corr 5.29725552 , in sigma: 2.8704133 9 most relevant variable 11 corr 3.6625855 , in sigma: 1.98463791 10 most relevant variable 9 corr 2.92168283 , in sigma: 1.58316646 11 most relevant variable 2 corr 2.96683478 , in sigma: 1.60763286 12 most relevant variable 8 corr 1.62481928 , in sigma: 0.880437588 13 most relevant variable 6 corr 0.450599164 , in sigma: 0.244165272 global correlations between input variables: variable 2: 99.2472291 % variable 3: 92.1140018 % variable 4: 91.1933857 % variable 5: 97.3076395 % variable 6: 95.1811843 % variable 7: 99.0117682 % variable 8: 87.1781866 % variable 9: 99.0659 % variable 10: 70.8852563 % variable 11: 53.4049727 % variable 12: 69.093619 % variable 13: 78.0523883 % variable 14: 86.8150153 % significance loss when removing single variables: variable 2: corr = 3.09591664 % , sigma = 1.67757819 variable 3: corr = 8.09811859 % , sigma = 4.3881114 variable 4: corr = 10.0634935 % , sigma = 5.45308518 variable 5: corr = 4.11373597 % , sigma = 2.22910192 variable 6: corr = 0.450599178 % , sigma = 0.24416528 variable 7: corr = 3.17488261 % , sigma = 1.72036732 variable 8: corr = 1.39065461 % , sigma = 0.753551247 variable 9: corr = 4.15339629 % , sigma = 2.25059258 variable 10: corr = 6.22581833 % , sigma = 3.37357179 variable 11: corr = 3.50750536 % , sigma = 1.90060495 variable 12: corr = 7.16953897 % , sigma = 3.88494381 variable 13: corr = 5.35670684 % , sigma = 2.90262807 variable 14: corr = 6.30111364 % , sigma = 3.4143719 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 8.3680582 sigma out 15 active outputs RANK 2 NODE 2 --> 8.31179428 sigma out 15 active outputs RANK 3 NODE 1 --> 7.50388527 sigma out 15 active outputs RANK 4 NODE 3 --> 7.20797062 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 8.88597393 sigma in 4act. ( 10.3405094 sig out 1act.) RANK 2 NODE 1 --> 6.0070076 sigma in 4act. ( 6.89507771 sig out 1act.) RANK 3 NODE 8 --> 5.54247665 sigma in 4act. ( 5.55783653 sig out 1act.) RANK 4 NODE 6 --> 5.25340557 sigma in 4act. ( 5.62493706 sig out 1act.) RANK 5 NODE 15 --> 4.34499502 sigma in 4act. ( 4.69956112 sig out 1act.) RANK 6 NODE 4 --> 4.34202814 sigma in 4act. ( 4.88467169 sig out 1act.) RANK 7 NODE 12 --> 4.06613588 sigma in 4act. ( 4.36582088 sig out 1act.) RANK 8 NODE 10 --> 2.59758854 sigma in 4act. ( 2.34937382 sig out 1act.) RANK 9 NODE 9 --> 1.78837514 sigma in 4act. ( 2.02676725 sig out 1act.) RANK 10 NODE 2 --> 1.75759447 sigma in 4act. ( 1.87337089 sig out 1act.) RANK 11 NODE 3 --> 1.48840094 sigma in 4act. ( 1.07478929 sig out 1act.) RANK 12 NODE 7 --> 1.39053774 sigma in 4act. ( 1.36179936 sig out 1act.) RANK 13 NODE 13 --> 1.07038999 sigma in 4act. ( 1.03903091 sig out 1act.) RANK 14 NODE 5 --> 0.910491467 sigma in 4act. ( 0.676039696 sig out 1act.) RANK 15 NODE 11 --> 0.766322136 sigma in 4act. ( 0.558169425 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 10.3405094 sigma out 1act.( 8.88597393 sig in 4act.) RANK 2 NODE 1 --> 6.89507771 sigma out 1act.( 6.0070076 sig in 4act.) RANK 3 NODE 6 --> 5.62493706 sigma out 1act.( 5.25340557 sig in 4act.) RANK 4 NODE 8 --> 5.55783653 sigma out 1act.( 5.54247665 sig in 4act.) RANK 5 NODE 4 --> 4.88467169 sigma out 1act.( 4.34202814 sig in 4act.) RANK 6 NODE 15 --> 4.69956112 sigma out 1act.( 4.34499502 sig in 4act.) RANK 7 NODE 12 --> 4.36582088 sigma out 1act.( 4.06613588 sig in 4act.) RANK 8 NODE 10 --> 2.34937382 sigma out 1act.( 2.59758854 sig in 4act.) RANK 9 NODE 9 --> 2.02676725 sigma out 1act.( 1.78837514 sig in 4act.) RANK 10 NODE 2 --> 1.87337089 sigma out 1act.( 1.75759447 sig in 4act.) RANK 11 NODE 7 --> 1.36179936 sigma out 1act.( 1.39053774 sig in 4act.) RANK 12 NODE 3 --> 1.07478929 sigma out 1act.( 1.48840094 sig in 4act.) RANK 13 NODE 13 --> 1.03903091 sigma out 1act.( 1.07038999 sig in 4act.) RANK 14 NODE 5 --> 0.676039696 sigma out 1act.( 0.910491467 sig in 4act.) RANK 15 NODE 11 --> 0.558169425 sigma out 1act.( 0.766322136 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.3204708 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 15.6655941 sigma out 15 active outputs RANK 2 NODE 1 --> 10.8598919 sigma out 15 active outputs RANK 3 NODE 4 --> 8.76361752 sigma out 15 active outputs RANK 4 NODE 3 --> 7.703578 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 8.38270283 sigma in 4act. ( 6.21675873 sig out 1act.) RANK 2 NODE 11 --> 7.53590631 sigma in 4act. ( 3.29676557 sig out 1act.) RANK 3 NODE 1 --> 7.42326832 sigma in 4act. ( 7.3858633 sig out 1act.) RANK 4 NODE 14 --> 7.39664412 sigma in 4act. ( 8.52430439 sig out 1act.) RANK 5 NODE 2 --> 7.18905115 sigma in 4act. ( 3.67068887 sig out 1act.) RANK 6 NODE 6 --> 6.19777298 sigma in 4act. ( 5.99087954 sig out 1act.) RANK 7 NODE 13 --> 6.11773252 sigma in 4act. ( 2.62479758 sig out 1act.) RANK 8 NODE 5 --> 5.59802389 sigma in 4act. ( 1.74827373 sig out 1act.) RANK 9 NODE 4 --> 5.03770876 sigma in 4act. ( 4.62866688 sig out 1act.) RANK 10 NODE 15 --> 4.80562162 sigma in 4act. ( 4.92442322 sig out 1act.) RANK 11 NODE 12 --> 4.22712612 sigma in 4act. ( 4.13045406 sig out 1act.) RANK 12 NODE 10 --> 4.09988499 sigma in 4act. ( 1.12431407 sig out 1act.) RANK 13 NODE 3 --> 3.46999526 sigma in 4act. ( 0.906752825 sig out 1act.) RANK 14 NODE 7 --> 2.17611241 sigma in 4act. ( 1.43552899 sig out 1act.) RANK 15 NODE 9 --> 1.95793259 sigma in 4act. ( 2.05837154 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 8.52430439 sigma out 1act.( 7.39664412 sig in 4act.) RANK 2 NODE 1 --> 7.3858633 sigma out 1act.( 7.42326832 sig in 4act.) RANK 3 NODE 8 --> 6.21675873 sigma out 1act.( 8.38270283 sig in 4act.) RANK 4 NODE 6 --> 5.99087954 sigma out 1act.( 6.19777298 sig in 4act.) RANK 5 NODE 15 --> 4.92442322 sigma out 1act.( 4.80562162 sig in 4act.) RANK 6 NODE 4 --> 4.62866688 sigma out 1act.( 5.03770876 sig in 4act.) RANK 7 NODE 12 --> 4.13045406 sigma out 1act.( 4.22712612 sig in 4act.) RANK 8 NODE 2 --> 3.67068887 sigma out 1act.( 7.18905115 sig in 4act.) RANK 9 NODE 11 --> 3.29676557 sigma out 1act.( 7.53590631 sig in 4act.) RANK 10 NODE 13 --> 2.62479758 sigma out 1act.( 6.11773252 sig in 4act.) RANK 11 NODE 9 --> 2.05837154 sigma out 1act.( 1.95793259 sig in 4act.) RANK 12 NODE 5 --> 1.74827373 sigma out 1act.( 5.59802389 sig in 4act.) RANK 13 NODE 7 --> 1.43552899 sigma out 1act.( 2.17611241 sig in 4act.) RANK 14 NODE 10 --> 1.12431407 sigma out 1act.( 4.09988499 sig in 4act.) RANK 15 NODE 3 --> 0.906752825 sigma out 1act.( 3.46999526 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.5260143 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.458243191 *** contribution from regularisation: 0.019926114 *** contribution from error: -0.478169292 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.531264365 *** contribution from regularisation: 0.00829245616 *** contribution from error: -0.539556801 *********************************************** -----------------> Test sample ENTER BFGS code START -4570.26484 1.04752398 -0.000422318379 EXIT FROM BFGS code FG_START 0. 1.04752398 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.542788327 *** contribution from regularisation: 0.00662355544 *** contribution from error: -0.549411893 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4668.52235 1.04752398 2.89394283 EXIT FROM BFGS code FG_LNSRCH 0. 1.06143832 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.548364222 *** contribution from regularisation: 0.0100608598 *** contribution from error: -0.558425069 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4716.48077 1.06143832 1.25304163 EXIT FROM BFGS code NEW_X -4716.48077 1.06143832 1.25304163 ENTER BFGS code NEW_X -4716.48077 1.06143832 1.25304163 EXIT FROM BFGS code FG_LNSRCH 0. 1.06188428 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.553692639 *** contribution from regularisation: 0.00902177859 *** contribution from error: -0.562714398 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4762.31051 1.06188428 -4.75820827 EXIT FROM BFGS code NEW_X -4762.31051 1.06188428 -4.75820827 ENTER BFGS code NEW_X -4762.31051 1.06188428 -4.75820827 EXIT FROM BFGS code FG_LNSRCH 0. 1.04409909 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.553872168 *** contribution from regularisation: 0.00887462124 *** contribution from error: -0.562746763 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4763.85445 1.04409909 -4.61434174 EXIT FROM BFGS code NEW_X -4763.85445 1.04409909 -4.61434174 ENTER BFGS code NEW_X -4763.85445 1.04409909 -4.61434174 EXIT FROM BFGS code FG_LNSRCH 0. 1.0139637 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.554026783 *** contribution from regularisation: 0.0086716162 *** contribution from error: -0.562698424 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4765.18459 1.0139637 -5.02540207 EXIT FROM BFGS code NEW_X -4765.18459 1.0139637 -5.02540207 ENTER BFGS code NEW_X -4765.18459 1.0139637 -5.02540207 EXIT FROM BFGS code FG_LNSRCH 0. 0.920324147 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.554315925 *** contribution from regularisation: 0.00782942213 *** contribution from error: -0.562145352 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4767.67117 0.920324147 -3.40710998 EXIT FROM BFGS code NEW_X -4767.67117 0.920324147 -3.40710998 ENTER BFGS code NEW_X -4767.67117 0.920324147 -3.40710998 EXIT FROM BFGS code FG_LNSRCH 0. 0.790651739 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.554672122 *** contribution from regularisation: 0.00659811171 *** contribution from error: -0.561270237 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4770.735 0.790651739 -4.47093153 EXIT FROM BFGS code NEW_X -4770.735 0.790651739 -4.47093153 ENTER BFGS code NEW_X -4770.735 0.790651739 -4.47093153 EXIT FROM BFGS code FG_LNSRCH 0. 0.377848178 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 8.25625038 sigma out 15 active outputs RANK 2 NODE 1 --> 7.95040703 sigma out 15 active outputs RANK 3 NODE 3 --> 3.78401899 sigma out 15 active outputs RANK 4 NODE 4 --> 2.70808101 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 5.97314024 sigma in 4act. ( 5.83828735 sig out 1act.) RANK 2 NODE 13 --> 4.92013359 sigma in 4act. ( 4.87640572 sig out 1act.) RANK 3 NODE 5 --> 4.16250515 sigma in 4act. ( 4.15413284 sig out 1act.) RANK 4 NODE 2 --> 4.09876251 sigma in 4act. ( 3.99798441 sig out 1act.) RANK 5 NODE 6 --> 3.85600471 sigma in 4act. ( 3.61909127 sig out 1act.) RANK 6 NODE 12 --> 3.45850754 sigma in 4act. ( 2.7560482 sig out 1act.) RANK 7 NODE 8 --> 3.42213964 sigma in 4act. ( 3.09711075 sig out 1act.) RANK 8 NODE 15 --> 2.46398568 sigma in 4act. ( 1.65548217 sig out 1act.) RANK 9 NODE 14 --> 2.13369179 sigma in 4act. ( 1.4059391 sig out 1act.) RANK 10 NODE 1 --> 1.85248077 sigma in 4act. ( 0.277832299 sig out 1act.) RANK 11 NODE 9 --> 1.79695344 sigma in 4act. ( 1.32567799 sig out 1act.) RANK 12 NODE 4 --> 1.12913811 sigma in 4act. ( 0.677662611 sig out 1act.) RANK 13 NODE 3 --> 1.02535236 sigma in 4act. ( 1.36191261 sig out 1act.) RANK 14 NODE 7 --> 0.806135952 sigma in 4act. ( 0.494927406 sig out 1act.) RANK 15 NODE 10 --> 0.461391449 sigma in 4act. ( 0.764865041 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 5.83828735 sigma out 1act.( 5.97314024 sig in 4act.) RANK 2 NODE 13 --> 4.87640572 sigma out 1act.( 4.92013359 sig in 4act.) RANK 3 NODE 5 --> 4.15413284 sigma out 1act.( 4.16250515 sig in 4act.) RANK 4 NODE 2 --> 3.99798441 sigma out 1act.( 4.09876251 sig in 4act.) RANK 5 NODE 6 --> 3.61909127 sigma out 1act.( 3.85600471 sig in 4act.) RANK 6 NODE 8 --> 3.09711075 sigma out 1act.( 3.42213964 sig in 4act.) RANK 7 NODE 12 --> 2.7560482 sigma out 1act.( 3.45850754 sig in 4act.) RANK 8 NODE 15 --> 1.65548217 sigma out 1act.( 2.46398568 sig in 4act.) RANK 9 NODE 14 --> 1.4059391 sigma out 1act.( 2.13369179 sig in 4act.) RANK 10 NODE 3 --> 1.36191261 sigma out 1act.( 1.02535236 sig in 4act.) RANK 11 NODE 9 --> 1.32567799 sigma out 1act.( 1.79695344 sig in 4act.) RANK 12 NODE 10 --> 0.764865041 sigma out 1act.( 0.461391449 sig in 4act.) RANK 13 NODE 4 --> 0.677662611 sigma out 1act.( 1.12913811 sig in 4act.) RANK 14 NODE 7 --> 0.494927406 sigma out 1act.( 0.806135952 sig in 4act.) RANK 15 NODE 1 --> 0.277832299 sigma out 1act.( 1.85248077 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.4493341 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.549487591 *** contribution from regularisation: 0.0059923823 *** contribution from error: -0.555479944 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4726.14296 0.377848178 28.2535839 EXIT FROM BFGS code FG_LNSRCH 0. 0.723774135 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.54713738 *** contribution from regularisation: 0.0141360816 *** contribution from error: -0.561273456 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4705.92877 0.723774135 -0.246323749 EXIT FROM BFGS code FG_LNSRCH 0. 0.789575279 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.555592 *** contribution from regularisation: 0.00568010937 *** contribution from error: -0.561272085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4778.647 0.789575279 -4.53621149 EXIT FROM BFGS code FG_LNSRCH 0. 0.788479865 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.552720428 *** contribution from regularisation: 0.00855445955 *** contribution from error: -0.561274886 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4753.94815 0.788479865 -4.32284451 EXIT FROM BFGS code FG_LNSRCH 0. 0.789574325 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.554237604 *** contribution from regularisation: 0.00703450572 *** contribution from error: -0.561272085 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4766.99784 0.789574325 -4.37741375 EXIT FROM BFGS code FG_LNSRCH 0. 0.789575279 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.553485394 *** contribution from regularisation: 0.00778673356 *** contribution from error: -0.561272144 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4760.52792 0.789575279 -3.96662498 EXIT FROM BFGS code NEW_X -4760.52792 0.789575279 -3.96662498 ENTER BFGS code NEW_X -4760.52792 0.789575279 -3.96662498 EXIT FROM BFGS code CONVERGENC -4760.52792 0.789575279 -3.96662498 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 15.1315203 sigma out 15 active outputs RANK 2 NODE 1 --> 14.1302252 sigma out 15 active outputs RANK 3 NODE 3 --> 4.51226473 sigma out 15 active outputs RANK 4 NODE 4 --> 4.02431679 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 10.9321241 sigma in 4act. ( 7.9065094 sig out 1act.) RANK 2 NODE 2 --> 8.73756981 sigma in 4act. ( 5.98331785 sig out 1act.) RANK 3 NODE 8 --> 8.13541603 sigma in 4act. ( 5.36774874 sig out 1act.) RANK 4 NODE 13 --> 7.14279985 sigma in 4act. ( 6.04903364 sig out 1act.) RANK 5 NODE 5 --> 6.54436731 sigma in 4act. ( 5.04086065 sig out 1act.) RANK 6 NODE 6 --> 6.11107302 sigma in 4act. ( 6.61489201 sig out 1act.) RANK 7 NODE 12 --> 4.56711245 sigma in 4act. ( 4.84351492 sig out 1act.) RANK 8 NODE 1 --> 3.82325959 sigma in 4act. ( 2.56821799 sig out 1act.) RANK 9 NODE 15 --> 3.38353157 sigma in 4act. ( 2.88254905 sig out 1act.) RANK 10 NODE 4 --> 2.40317607 sigma in 4act. ( 1.60111928 sig out 1act.) RANK 11 NODE 9 --> 2.32582784 sigma in 4act. ( 2.04437423 sig out 1act.) RANK 12 NODE 14 --> 2.22736025 sigma in 4act. ( 1.85982811 sig out 1act.) RANK 13 NODE 3 --> 1.99030781 sigma in 4act. ( 1.42271614 sig out 1act.) RANK 14 NODE 10 --> 1.81426942 sigma in 4act. ( 0.674758017 sig out 1act.) RANK 15 NODE 7 --> 1.27434111 sigma in 4act. ( 0.731651425 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 7.9065094 sigma out 1act.( 10.9321241 sig in 4act.) RANK 2 NODE 6 --> 6.61489201 sigma out 1act.( 6.11107302 sig in 4act.) RANK 3 NODE 13 --> 6.04903364 sigma out 1act.( 7.14279985 sig in 4act.) RANK 4 NODE 2 --> 5.98331785 sigma out 1act.( 8.73756981 sig in 4act.) RANK 5 NODE 8 --> 5.36774874 sigma out 1act.( 8.13541603 sig in 4act.) RANK 6 NODE 5 --> 5.04086065 sigma out 1act.( 6.54436731 sig in 4act.) RANK 7 NODE 12 --> 4.84351492 sigma out 1act.( 4.56711245 sig in 4act.) RANK 8 NODE 15 --> 2.88254905 sigma out 1act.( 3.38353157 sig in 4act.) RANK 9 NODE 1 --> 2.56821799 sigma out 1act.( 3.82325959 sig in 4act.) RANK 10 NODE 9 --> 2.04437423 sigma out 1act.( 2.32582784 sig in 4act.) RANK 11 NODE 14 --> 1.85982811 sigma out 1act.( 2.22736025 sig in 4act.) RANK 12 NODE 4 --> 1.60111928 sigma out 1act.( 2.40317607 sig in 4act.) RANK 13 NODE 3 --> 1.42271614 sigma out 1act.( 1.99030781 sig in 4act.) RANK 14 NODE 7 --> 0.731651425 sigma out 1act.( 1.27434111 sig in 4act.) RANK 15 NODE 10 --> 0.674758017 sigma out 1act.( 1.81426942 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.8660831 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.554517508 *** contribution from regularisation: 0.00675464422 *** contribution from error: -0.561272144 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done