NNInput NNInputs_170.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= 16857 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 = 4026 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 4026 Chosen entries: 4026 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.313771 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 4026 Entries to split: 4026 Test with : 2013 Train with : 2013 ********************************************* * 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= 4026 for Signal Prepared event 0 for Signal with 4026 events ====Entry 0 Variable Ht : 222.316 Variable LepAPt : 48.6647 Variable LepBPt : 22.268 Variable MetSigLeptonsJets : 8.85724 Variable MetSpec : 98.5406 Variable SumEtLeptonsJets : 123.775 Variable VSumJetLeptonsPt : 94.3744 Variable addEt : 169.473 Variable dPhiLepSumMet : 2.57705 Variable dPhiLeptons : 0.105268 Variable dRLeptons : 0.443879 Variable lep1_E : 61.7625 Variable lep2_E : 38.6689 ===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 = 2170 Ht = 222.316 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 48.6647 LepAPt = 48.6647 LepBEt = 22.2681 LepBPt = 22.268 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 98.5406 MetDelPhi = 2.29352 MetSig = 8.23626 MetSigLeptonsJets = 8.85724 MetSpec = 98.5406 Mjj = 0 MostCentralJetEta = 0.726152 MtllMet = 186.386 Njets = 1 SB = 0 SumEt = 143.143 SumEtJets = 0 SumEtLeptonsJets = 123.775 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 94.3744 addEt = 169.473 dPhiLepSumMet = 2.57705 dPhiLeptons = 0.105268 dRLeptons = 0.443879 diltype = 54 dimass = 14.7206 event = 316 jet1_Et = 52.8427 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 61.7625 lep2_E = 38.6689 rand = 0.999742 run = 177314 weight = 3.43427e-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 = 2.21253 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 377 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 16857 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 377 negative weights. Signal fraction: 69.5518875 % ------------------------------ 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 62.8013802 67.3899689 69.5269928 70.703537 71.666748 73.2065506 75.0432129 76.6934814 77.0271454 77.0636749 78.3612518 78.8119278 79.7735977 80.9621887 82.0636978 83.1991425 83.6242676 84.7609024 86.0250473 86.1930695 87.5502167 88.648407 90.4170685 91.651619 92.839035 93.6643143 94.0736008 95.4396286 96.8595657 98.0012665 98.8515472 99.4751587 100.023598 100.864227 102.195816 103.908569 104.42569 105.623779 106.336884 106.717369 107.946182 108.369293 109.899338 110.84819 112.082397 112.982933 113.594849 114.371483 115.753044 117.461891 119.072166 120.540733 121.790222 123.18898 124.472229 125.612213 126.878471 128.150635 128.946167 130.497345 131.894104 133.19487 133.786407 135.812103 137.385895 138.551636 139.896606 141.190247 142.487274 143.948303 145.523407 147.560791 149.317429 150.81955 152.948395 154.797134 157.148529 158.778854 160.336227 163.26236 165.318619 167.483459 169.916992 172.837753 175.804932 178.844345 181.472549 184.995178 190.051453 194.15097 198.285126 204.373871 208.985718 217.402496 224.157364 233.074509 247.671143 280.48407 299.479431 511.989349 ------------------------------ Transdef: Tab for variable 3 20.0002613 20.6288719 21.0321274 21.1768837 21.4994755 21.5565109 21.8147736 22.1146164 22.3900223 22.5646935 22.8301601 22.9576378 23.1539574 23.6464672 23.9029827 24.2529869 24.6263885 24.9038334 25.1728325 25.257103 25.3230877 25.5659161 25.6530075 25.8588371 26.195591 26.4304695 26.6669922 26.9960938 27.086504 27.196394 27.4642925 27.7720776 27.9882717 28.2523251 28.3626709 28.6186028 28.7154865 29.0470314 29.1049023 29.3371124 29.5123272 29.7085514 29.754921 30.0270004 30.3086567 30.530489 30.7365665 31.0191593 31.2570992 31.4823551 31.6713963 31.7499657 31.8768768 32.125515 32.2903366 32.4939499 32.7137222 32.9192352 33.1134109 33.194809 33.5244789 33.6520805 33.8409157 34.0028229 34.144146 34.3440132 34.7181206 35.0705223 35.3054581 35.5509567 35.7082367 35.9396133 36.12397 36.3945999 36.6207008 36.7050476 37.020401 37.4954071 37.7927933 38.0950584 38.4714813 38.7992096 39.3239059 39.6838684 40.0956497 40.5444641 41.1007462 41.5150681 41.9372864 42.7639236 43.4768295 44.1864586 45.0884781 46.0297699 47.0136261 47.7880783 49.4836464 51.3237839 53.9413223 60.4061241 109.76886 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1407719 10.1992922 10.3397446 10.4362164 10.548089 10.6148167 10.7746449 10.8945122 10.941452 11.163681 11.3072863 11.4339037 11.4998941 11.6238947 11.8479004 11.9861336 12.1179733 12.2116556 12.3060036 12.3559113 12.5065365 12.7744017 12.8514481 13.1390781 13.3997478 13.5936594 13.6176329 13.7456388 13.8058643 13.8367252 14.0875025 14.3210115 14.5928936 14.7798615 15.0786877 15.2004051 15.4755096 15.686058 15.9049282 16.1865559 16.4469147 16.7570114 16.8385677 16.9977112 17.2273808 17.5173588 17.701189 17.9511719 18.1828003 18.4108772 18.5748863 18.855896 19.1292133 19.4314766 19.7959003 20.1282539 20.2329025 20.4406261 20.6665535 20.8416443 20.9937439 21.1694069 21.355051 21.5489349 21.7468987 21.9196281 22.2333889 22.4231529 22.684763 22.7909317 23.0391655 23.2454739 23.4270325 23.6813202 23.9377251 24.1652336 24.3694687 24.5527039 24.7999477 25.137764 25.4739742 25.7966003 26.129158 26.366291 26.7063332 27.0258751 27.321825 27.5778465 27.9183865 28.1175823 28.4436188 28.7647514 29.2204609 29.6736488 30.2514 30.8049431 31.6943436 32.7604904 34.0540237 37.0098801 ------------------------------ Transdef: Tab for variable 5 2.10590816 3.28391647 3.68808341 3.8199563 4.21035957 4.32431507 4.52375317 4.64537811 4.78081656 4.85728073 4.92515469 5.01279926 5.12427282 5.16682434 5.26462221 5.2903862 5.33104229 5.36604309 5.3806181 5.50664139 5.52442169 5.53799629 5.56653118 5.63198805 5.74014091 5.80152988 5.92833805 5.9814539 6.04934406 6.14004326 6.23245811 6.28874016 6.36130905 6.46015644 6.52766085 6.60245037 6.63702965 6.67042351 6.73958778 6.76666689 6.81494236 6.83062935 6.87176371 6.89419174 6.94231367 6.98440838 7.00263882 7.0557909 7.08102036 7.13118076 7.1616745 7.19937038 7.22210503 7.24989796 7.32256794 7.38014221 7.39796925 7.45077991 7.49780464 7.53630543 7.58012342 7.60408592 7.65382481 7.71946812 7.79334736 7.85938168 7.92106342 7.97798443 8.01596451 8.06511402 8.14147568 8.20832062 8.23848152 8.25381851 8.3163414 8.39128494 8.42464066 8.47244453 8.54170895 8.59606743 8.68032837 8.72947979 8.79127693 8.86974907 8.95078659 9.00211525 9.08889198 9.20360374 9.30486584 9.38041878 9.49753571 9.65138912 9.80347347 9.98289394 10.1447487 10.4574366 10.7656612 11.2399378 11.7743435 12.2990026 14.9150238 ------------------------------ Transdef: Tab for variable 6 25.0010986 27.0730515 28.1879654 29.6678162 30.7120533 31.29702 32.1420784 32.4263191 32.8157463 34.06147 34.5044174 34.7323456 34.7893829 35.7004509 36.0886726 36.8828278 37.2766075 38.0189438 38.6052475 39.2389526 39.8394547 40.3564835 40.8695526 41.1530991 41.9365273 42.5713348 42.8866463 43.1455383 43.5396729 44.0274773 44.4523621 45.1418457 45.5810547 45.8138046 46.3710022 47.0318031 47.777668 48.1734161 48.5576401 48.9532089 49.3624725 49.7321663 50.0436935 50.3334312 50.3404732 50.675396 51.2698822 51.9316292 52.468277 53.0983047 53.6138802 54.2540245 54.9179077 55.3669319 56.2013016 56.8730621 57.2851067 58.0162888 58.3895454 58.8343124 59.463871 59.7796707 60.6347122 61.2704659 61.8618546 62.8036499 63.4413795 64.075058 64.7893753 65.370079 66.0013733 66.9106598 67.6233673 68.4657288 69.2107544 70.1481018 71.0269775 71.699173 72.3696747 73.2605286 74.0520477 74.8065948 75.937027 77.0365448 78.1963577 79.2911682 80.4178619 82.3323364 83.9096527 85.9205627 87.7595444 89.9811859 92.0992661 94.2895355 98.0837708 100.754929 104.059082 111.327095 118.925247 136.612 201.258652 ------------------------------ Transdef: Tab for variable 7 30.250906 31.6798935 33.6402969 34.7492981 35.2847633 36.1468506 36.8064919 37.2186508 38.1576576 38.7264481 38.8862534 39.1590424 39.3901978 39.918354 40.0780792 40.7649345 41.4486618 41.8120766 42.1660233 42.322876 42.7225342 43.0665245 44.1214447 44.6018105 44.742218 44.9348602 45.7598305 46.1986961 46.662674 47.1862946 47.8844833 48.333847 49.0458374 49.3951035 49.7339554 50.5787888 51.2611923 52.2267303 52.7747765 53.4850769 54.3052902 54.7058182 55.6940155 56.2064209 56.944931 57.726078 58.2224159 58.6142654 59.0907631 59.8426247 60.537075 61.6066589 62.5003433 62.8204422 63.4989128 64.4972992 65.135231 65.9232941 66.879303 67.7998505 68.6655121 69.3186264 70.144577 70.677002 71.6405334 72.5800629 73.1231232 74.6640625 76.1349945 76.77108 77.5113297 78.7413483 80.5161285 81.6108398 83.1707153 84.9477539 86.2613831 87.7339325 89.8382721 91.5710449 92.8204346 94.9733658 97.2637787 98.7058716 100.597084 103.235794 105.201088 107.804184 109.801727 112.525383 114.758484 116.830055 120.014465 123.346184 127.725128 133.646164 137.678192 145.341187 157.092529 178.670959 305.019684 ------------------------------ Transdef: Tab for variable 8 4.59813738 26.7826004 29.8872681 31.1993828 33.0879135 33.731678 33.8560562 34.2646866 34.3736916 35.4952316 35.9885254 36.3763351 36.8954315 37.384491 37.7626419 38.1185837 38.5405083 38.8502007 38.9452362 39.381546 39.5902405 39.7702637 40.0265808 40.5823746 40.7651138 41.0567856 41.7647133 41.9879074 42.5377502 42.6809196 43.0560341 43.396328 43.6744995 44.0109138 44.1385574 44.6189232 44.9865379 45.5975418 45.9149017 46.3066864 46.6304626 46.7992897 47.3696976 48.0282288 48.5201836 48.749218 48.8067551 49.3846092 49.8455467 50.2194977 50.8981323 51.4921951 52.2889252 52.8157959 53.0618439 53.4903412 54.0383072 54.5131035 55.0425034 55.5295601 56.0953979 56.7863617 57.3227844 57.8743362 58.2620277 58.8668518 59.4155769 60.0350342 60.6395416 61.5323486 61.9619293 62.7769852 63.5770264 64.1788788 64.6675262 65.359024 66.0432739 66.7484207 67.6117706 68.7769928 69.4807129 70.2651749 71.6491241 72.6513367 73.6428375 74.945694 76.302475 77.5207291 79.7255402 81.0798035 83.3295822 85.5575867 88.0044403 89.7029724 93.4433975 96.6098862 102.330032 107.431145 120.404785 137.472794 236.514038 ------------------------------ Transdef: Tab for variable 9 56.6901665 62.8023148 66.9191895 69.5269928 69.8722153 71.0066681 71.666748 73.1830292 75.0432129 75.6396484 76.9734039 77.0271454 77.147728 78.3612518 78.8119049 79.7735977 80.4794769 81.008667 82.1824799 83.1883545 83.411972 84.4893112 85.3290558 86.0250473 86.1930695 86.8851471 88.2227859 89.0049286 90.5098267 91.1693649 92.2862549 92.9368057 93.5511551 94.1651611 95.2835999 95.9184418 96.5301437 97.002533 98.0031509 98.8505096 99.4547882 100.077316 100.828888 101.633377 102.748001 103.545708 103.979752 104.819572 105.622467 106.076134 106.830803 107.767143 108.304703 109.467026 110.59024 111.25824 112.295631 112.897736 113.689606 114.456841 114.96611 115.912247 117.147537 117.853378 118.744965 119.439072 120.441101 121.525894 122.399368 123.673859 124.945992 125.933716 126.758789 127.863075 128.905945 129.848358 131.149414 132.296402 133.415497 134.564941 135.874664 136.818497 137.848175 139.063751 140.612244 142.054352 143.722977 145.057098 147.228394 149.424591 151.053345 152.772354 154.625702 157.368622 159.387146 162.044968 165.318619 170.140106 177.128967 197.605774 282.530121 ------------------------------ Transdef: Tab for variable 10 0.327894449 1.08948374 1.39984035 1.64168644 1.79680014 1.91059661 1.99735332 2.08946848 2.1742301 2.23506975 2.27326393 2.32606006 2.36786079 2.4062767 2.42098093 2.45182276 2.48581839 2.51091099 2.54017973 2.56144714 2.5794251 2.60768795 2.63420606 2.65606761 2.68508148 2.71283531 2.73062706 2.75026083 2.76629066 2.78415847 2.80130935 2.81298351 2.83171821 2.84136629 2.84962535 2.85180902 2.85340762 2.86101913 2.87438917 2.87767339 2.88423538 2.89157915 2.89768171 2.90781975 2.91321731 2.92267561 2.92869425 2.94141722 2.94774818 2.9522562 2.958498 2.96240783 2.96868896 2.97606373 2.97963285 2.98420572 2.98819304 2.99149179 2.99465036 3.00120521 3.00987029 3.01376748 3.01957607 3.02632236 3.0329566 3.0362432 3.03790021 3.04181743 3.04473066 3.05050087 3.05563831 3.06068993 3.06593418 3.06710172 3.06986713 3.07196093 3.07463455 3.07643652 3.08097744 3.0842731 3.0884304 3.0918355 3.09595609 3.10012102 3.10166407 3.10444736 3.10754442 3.10977697 3.11210489 3.11330986 3.1150651 3.11629438 3.12102175 3.12333298 3.12842369 3.12892365 3.13106513 3.13224292 3.13454318 3.13782501 3.14158416 ------------------------------ Transdef: Tab for variable 11 0.000456213951 0.00835512951 0.0150601864 0.022926867 0.0314908922 0.0470207185 0.0512473509 0.0613440275 0.077167213 0.0847234875 0.0947322845 0.0982506275 0.105451465 0.111229539 0.121497154 0.130123317 0.138176739 0.151938409 0.157336593 0.164900959 0.1748631 0.184777617 0.194862366 0.20630753 0.216971576 0.227725327 0.23323822 0.236866236 0.249192238 0.258625567 0.265874267 0.271156698 0.278830051 0.287716866 0.2957021 0.303501129 0.314457655 0.319956541 0.329789937 0.335552633 0.341054201 0.345962048 0.351503968 0.358954906 0.361252069 0.365542233 0.372309923 0.375036955 0.377605766 0.38123405 0.385713577 0.387502879 0.390137672 0.391162276 0.395266175 0.398923635 0.402787328 0.406148672 0.410074234 0.412181854 0.415797263 0.417957455 0.420883179 0.4254691 0.429360926 0.43493557 0.437533021 0.442427576 0.44675529 0.449059486 0.452633142 0.460154116 0.467266709 0.4720397 0.475842208 0.482714713 0.4913885 0.500970364 0.508415461 0.517737031 0.5241431 0.532979727 0.544986725 0.548901796 0.554552674 0.573661566 0.576932311 0.583038151 0.594010234 0.604446113 0.612807035 0.620625794 0.632210374 0.644906282 0.650254369 0.667157769 0.697285414 0.725193441 0.783150613 0.861788273 1.08717501 ------------------------------ Transdef: Tab for variable 12 0.280899316 0.345706671 0.398333371 0.404010296 0.406902909 0.409191787 0.411967516 0.413594723 0.414571077 0.418237984 0.421634495 0.423725009 0.425712287 0.427704573 0.430088639 0.433145225 0.435674906 0.437502801 0.441155791 0.444195747 0.44612956 0.448227882 0.450383842 0.452213347 0.454716802 0.456915379 0.459518969 0.461722225 0.463657379 0.466798007 0.469123244 0.472313285 0.474574804 0.477914095 0.48004514 0.481846213 0.483597696 0.485488981 0.488271356 0.490314662 0.492154956 0.494843423 0.499451339 0.502527952 0.506602466 0.510462761 0.513069272 0.515513778 0.520214081 0.522165656 0.525526583 0.528620422 0.531290054 0.536304355 0.539797843 0.544446945 0.548257947 0.551700354 0.555708826 0.557787061 0.5601632 0.566934228 0.570780277 0.575386465 0.580145597 0.58617276 0.59087342 0.595825315 0.600267053 0.603381634 0.610176802 0.614322782 0.622368217 0.629567981 0.634559393 0.637203336 0.646625519 0.650766253 0.655874908 0.663935661 0.665959775 0.667569876 0.677360773 0.683059394 0.690607548 0.700621784 0.703124642 0.713153362 0.716775537 0.727047086 0.730906963 0.744486928 0.753814697 0.758238435 0.772897005 0.791908205 0.816338062 0.843068898 0.880848408 0.923913717 1.12655604 ------------------------------ Transdef: Tab for variable 13 20.1368732 22.3880463 23.242878 24.0550194 24.983551 25.233263 25.6226044 25.977087 26.6588631 27.0835114 27.366024 27.7782326 28.5184879 28.8530464 29.1982231 29.5623627 29.7433243 29.989193 30.1770897 30.4476986 30.9046021 31.0105438 31.3754234 31.5357685 31.8394814 32.3991432 32.5384254 32.9677811 33.1542282 33.6115265 34.1143684 34.4152908 34.7835884 35.1931038 35.4195175 35.7337341 35.977478 36.1866646 36.3022995 36.601181 37.082283 37.2926331 37.6871948 38.0337753 38.4644241 38.6823006 39.333107 39.5770721 39.8337326 40.2903595 40.631813 40.8772583 41.3551407 41.7122421 42.1131897 42.6920776 43.1648026 43.5045395 43.9515724 44.2993431 44.7218285 45.4241409 45.7267303 46.3744049 46.5294151 46.9945831 47.5905457 48.0443039 48.5607491 49.2011414 49.8676872 50.5104599 50.8553085 51.2740326 52.0340042 52.5817032 53.4860764 54.2070847 55.0858765 55.8509979 57.258831 58.1364288 58.7737198 59.8709793 60.902626 62.0090637 62.648056 63.7863312 64.4445419 66.5123672 67.1036072 68.6004868 70.7297668 73.4152222 76.0915527 80.3961258 82.5200958 86.5922852 89.9189453 102.033371 194.379669 ------------------------------ Transdef: Tab for variable 14 10.0354385 11.2594604 11.3901997 11.6256886 11.9825802 12.3121367 12.3180561 12.476078 12.8371315 13.3220711 13.6680584 13.8499165 14.0590401 14.5037346 15.1894341 15.5305481 16.0650711 16.2826214 16.45895 16.5349579 16.7803974 16.9534111 17.2270584 17.6281567 17.7299652 17.860321 18.0163841 18.1822891 18.4995117 18.7523499 18.8839207 19.226759 19.4543266 19.8056583 20.2118015 20.5765381 20.6366196 21.0025406 21.4146919 21.5753479 21.6797104 21.8652992 22.0982952 22.3621578 22.5833893 22.8468246 23.1158943 23.2649784 23.4837608 23.6826191 24.0115681 24.3305225 24.5519714 24.9421139 25.1218338 25.5314198 25.8872337 26.2242165 26.5410805 26.7459698 27.06423 27.2486019 27.3840675 27.71661 28.0681705 28.2365074 28.5022335 28.8859711 29.0986176 29.5275459 29.7548447 30.0581703 30.3634605 30.8295422 31.2799225 31.6236 32.0758514 32.5543442 33.1240768 33.5482101 34.0275345 34.653492 35.1654892 35.7469406 36.1881142 36.8449707 37.6088943 38.2723999 39.1376877 40.1945724 41.0146942 41.9710236 43.7902145 45.3580322 47.1900139 49.4866104 52.2264748 55.8326645 62.2048874 66.1937561 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 57.3 26.4 46.6 23.7 43.5 54.3 46.1 52.4 -26.8 -10.4 -21.3 9.9 38.0 2 57.3 100.0 50.8 50.2 43.3 78.0 93.9 79.1 90.3 -43.5 -20.7 -36.7 25.1 38.7 3 26.4 50.8 100.0 26.9 15.4 36.1 51.9 47.8 60.9 -1.8 -26.9 -47.5 59.3 15.1 4 46.6 50.2 26.9 100.0 20.9 38.8 49.7 48.5 57.6 -1.0 -21.7 -53.9 13.8 77.8 5 23.7 43.3 15.4 20.9 100.0 84.7 12.8 54.4 69.0 19.6 -8.8 -15.9 2.2 16.7 6 43.5 78.0 36.1 38.8 84.7 100.0 56.1 80.9 89.8 -10.2 -15.4 -28.3 15.0 29.9 7 54.3 93.9 51.9 49.7 12.8 56.1 100.0 71.5 75.7 -52.1 -20.9 -35.5 28.6 38.1 8 46.1 79.1 47.8 48.5 54.4 80.9 71.5 100.0 84.5 -11.8 -25.1 -35.9 27.1 37.8 9 52.4 90.3 60.9 57.6 69.0 89.8 75.7 84.5 100.0 -15.7 -24.4 -46.3 30.4 43.9 10 -26.8 -43.5 -1.8 -1.0 19.6 -10.2 -52.1 -11.8 -15.7 100.0 -6.4 -5.9 5.2 0.6 11 -10.4 -20.7 -26.9 -21.7 -8.8 -15.4 -20.9 -25.1 -24.4 -6.4 100.0 48.8 -21.6 -20.2 12 -21.3 -36.7 -47.5 -53.9 -15.9 -28.3 -35.5 -35.9 -46.3 -5.9 48.8 100.0 -25.1 -41.4 13 9.9 25.1 59.3 13.8 2.2 15.0 28.6 27.1 30.4 5.2 -21.6 -25.1 100.0 35.9 14 38.0 38.7 15.1 77.8 16.7 29.9 38.1 37.8 43.9 0.6 -20.2 -41.4 35.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 138.669023 TOTAL CORRELATION OF ALL VARIABLES 63.3863324 ROUND 1: MAX CORR ( 63.3861444) AFTER KILLING INPUT VARIABLE 11 CONTR 0.154360013 ROUND 2: MAX CORR ( 63.3366072) AFTER KILLING INPUT VARIABLE 6 CONTR 2.50549343 ROUND 3: MAX CORR ( 63.283702) AFTER KILLING INPUT VARIABLE 7 CONTR 2.58821763 ROUND 4: MAX CORR ( 63.1932659) AFTER KILLING INPUT VARIABLE 8 CONTR 3.38202413 ROUND 5: MAX CORR ( 62.8919069) AFTER KILLING INPUT VARIABLE 10 CONTR 6.16416217 ROUND 6: MAX CORR ( 62.4985297) AFTER KILLING INPUT VARIABLE 14 CONTR 7.02322888 ROUND 7: MAX CORR ( 62.3798261) AFTER KILLING INPUT VARIABLE 13 CONTR 3.85013017 ROUND 8: MAX CORR ( 61.8850462) AFTER KILLING INPUT VARIABLE 3 CONTR 7.84115877 ROUND 9: MAX CORR ( 61.7878088) AFTER KILLING INPUT VARIABLE 5 CONTR 3.4677985 ROUND 10: MAX CORR ( 61.6893282) AFTER KILLING INPUT VARIABLE 9 CONTR 3.48713392 ROUND 11: MAX CORR ( 60.8981119) AFTER KILLING INPUT VARIABLE 12 CONTR 9.84851105 ROUND 12: MAX CORR ( 57.3209897) AFTER KILLING INPUT VARIABLE 4 CONTR 20.5641479 LAST REMAINING VARIABLE: 2 total correlation to target: 63.3863324 % total significance: 34.0583051 sigma correlations of single variables to target: variable 2: 57.3209897 % , in sigma: 30.7993172 variable 3: 26.3619586 % , in sigma: 14.164625 variable 4: 46.5604417 % , in sigma: 25.0175341 variable 5: 23.6647744 % , in sigma: 12.7153927 variable 6: 43.4805397 % , in sigma: 23.3626624 variable 7: 54.2562709 % , in sigma: 29.1526037 variable 8: 46.0583341 % , in sigma: 24.7477451 variable 9: 52.4179868 % , in sigma: 28.1648696 variable 10: -26.7557263 % , in sigma: 14.3762015 variable 11: -10.358884 % , in sigma: 5.56596379 variable 12: -21.266491 % , in sigma: 11.4267636 variable 13: 9.91154183 % , in sigma: 5.32560101 variable 14: 37.9942032 % , in sigma: 20.4147821 variables sorted by significance: 1 most relevant variable 2 corr 57.3209915 , in sigma: 30.7993182 2 most relevant variable 4 corr 20.5641479 , in sigma: 11.0493856 3 most relevant variable 12 corr 9.84851074 , in sigma: 5.29173358 4 most relevant variable 9 corr 3.48713398 , in sigma: 1.87368268 5 most relevant variable 5 corr 3.46779847 , in sigma: 1.86329346 6 most relevant variable 3 corr 7.84115887 , in sigma: 4.21315718 7 most relevant variable 13 corr 3.85013008 , in sigma: 2.06872523 8 most relevant variable 14 corr 7.02322865 , in sigma: 3.77367258 9 most relevant variable 10 corr 6.16416216 , in sigma: 3.31208492 10 most relevant variable 8 corr 3.38202405 , in sigma: 1.81720574 11 most relevant variable 7 corr 2.58821774 , in sigma: 1.39068323 12 most relevant variable 6 corr 2.5054934 , in sigma: 1.34623436 13 most relevant variable 11 corr 0.154360011 , in sigma: 0.0829396522 global correlations between input variables: variable 2: 99.4359946 % variable 3: 92.8650831 % variable 4: 90.8736985 % variable 5: 98.1144926 % variable 6: 97.1664569 % variable 7: 99.2257948 % variable 8: 91.1726942 % variable 9: 99.3970676 % variable 10: 73.4527348 % variable 11: 52.3371394 % variable 12: 72.2843106 % variable 13: 76.2879233 % variable 14: 86.1937915 % significance loss when removing single variables: variable 2: corr = 11.3281591 % , sigma = 6.08676798 variable 3: corr = 11.2159417 % , sigma = 6.02647213 variable 4: corr = 14.642425 % , sigma = 7.86756639 variable 5: corr = 6.2617912 % , sigma = 3.36454228 variable 6: corr = 2.48906653 % , sigma = 1.33740799 variable 7: corr = 2.97941073 % , sigma = 1.60087634 variable 8: corr = 4.78499673 % , sigma = 2.57104131 variable 9: corr = 9.46725694 % , sigma = 5.08688093 variable 10: corr = 7.00324313 % , sigma = 3.7629341 variable 11: corr = 0.154360013 % , sigma = 0.0829396531 variable 12: corr = 8.02614954 % , sigma = 4.31255509 variable 13: corr = 6.64391472 % , sigma = 3.56986225 variable 14: corr = 6.91102264 % , sigma = 3.71338282 Keep only 6 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 7 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 6.13972998 sigma out 15 active outputs RANK 2 NODE 4 --> 5.28105688 sigma out 15 active outputs RANK 3 NODE 6 --> 4.97455835 sigma out 15 active outputs RANK 4 NODE 3 --> 4.60585499 sigma out 15 active outputs RANK 5 NODE 5 --> 3.78980803 sigma out 15 active outputs RANK 6 NODE 7 --> 3.74298477 sigma out 15 active outputs RANK 7 NODE 2 --> 2.29664087 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 4.9514575 sigma in 7act. ( 5.13968468 sig out 1act.) RANK 2 NODE 14 --> 4.80169821 sigma in 7act. ( 4.36271811 sig out 1act.) RANK 3 NODE 5 --> 4.60599184 sigma in 7act. ( 4.9532938 sig out 1act.) RANK 4 NODE 4 --> 3.69054508 sigma in 7act. ( 4.07257271 sig out 1act.) RANK 5 NODE 13 --> 3.58371615 sigma in 7act. ( 4.01139593 sig out 1act.) RANK 6 NODE 10 --> 3.34346652 sigma in 7act. ( 3.93033433 sig out 1act.) RANK 7 NODE 15 --> 2.9757843 sigma in 7act. ( 2.81642747 sig out 1act.) RANK 8 NODE 8 --> 2.61079597 sigma in 7act. ( 2.54626656 sig out 1act.) RANK 9 NODE 1 --> 2.3692174 sigma in 7act. ( 2.46680546 sig out 1act.) RANK 10 NODE 9 --> 2.27246785 sigma in 7act. ( 2.46792912 sig out 1act.) RANK 11 NODE 7 --> 2.01759958 sigma in 7act. ( 1.9592123 sig out 1act.) RANK 12 NODE 11 --> 1.94419396 sigma in 7act. ( 1.84949017 sig out 1act.) RANK 13 NODE 3 --> 1.51266193 sigma in 7act. ( 1.4120549 sig out 1act.) RANK 14 NODE 12 --> 1.1078074 sigma in 7act. ( 0.24576433 sig out 1act.) RANK 15 NODE 6 --> 0.973640501 sigma in 7act. ( 0.325310171 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 5.13968468 sigma out 1act.( 4.9514575 sig in 7act.) RANK 2 NODE 5 --> 4.9532938 sigma out 1act.( 4.60599184 sig in 7act.) RANK 3 NODE 14 --> 4.36271811 sigma out 1act.( 4.80169821 sig in 7act.) RANK 4 NODE 4 --> 4.07257271 sigma out 1act.( 3.69054508 sig in 7act.) RANK 5 NODE 13 --> 4.01139593 sigma out 1act.( 3.58371615 sig in 7act.) RANK 6 NODE 10 --> 3.93033433 sigma out 1act.( 3.34346652 sig in 7act.) RANK 7 NODE 15 --> 2.81642747 sigma out 1act.( 2.9757843 sig in 7act.) RANK 8 NODE 8 --> 2.54626656 sigma out 1act.( 2.61079597 sig in 7act.) RANK 9 NODE 9 --> 2.46792912 sigma out 1act.( 2.27246785 sig in 7act.) RANK 10 NODE 1 --> 2.46680546 sigma out 1act.( 2.3692174 sig in 7act.) RANK 11 NODE 7 --> 1.9592123 sigma out 1act.( 2.01759958 sig in 7act.) RANK 12 NODE 11 --> 1.84949017 sigma out 1act.( 1.94419396 sig in 7act.) RANK 13 NODE 3 --> 1.4120549 sigma out 1act.( 1.51266193 sig in 7act.) RANK 14 NODE 6 --> 0.325310171 sigma out 1act.( 0.973640501 sig in 7act.) RANK 15 NODE 12 --> 0.24576433 sigma out 1act.( 1.1078074 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.4145184 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 9.75824928 sigma out 15 active outputs RANK 2 NODE 1 --> 9.4717741 sigma out 15 active outputs RANK 3 NODE 4 --> 8.08611774 sigma out 15 active outputs RANK 4 NODE 6 --> 6.62788916 sigma out 15 active outputs RANK 5 NODE 3 --> 5.7589159 sigma out 15 active outputs RANK 6 NODE 7 --> 4.94437551 sigma out 15 active outputs RANK 7 NODE 2 --> 4.48233461 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 7.71987963 sigma in 7act. ( 6.84025049 sig out 1act.) RANK 2 NODE 8 --> 6.91715622 sigma in 7act. ( 3.97401404 sig out 1act.) RANK 3 NODE 9 --> 6.68717766 sigma in 7act. ( 5.02757025 sig out 1act.) RANK 4 NODE 15 --> 6.13035774 sigma in 7act. ( 4.00864077 sig out 1act.) RANK 5 NODE 13 --> 6.04413271 sigma in 7act. ( 3.40097165 sig out 1act.) RANK 6 NODE 4 --> 5.19201517 sigma in 7act. ( 4.25241232 sig out 1act.) RANK 7 NODE 14 --> 4.83641195 sigma in 7act. ( 3.63393378 sig out 1act.) RANK 8 NODE 5 --> 4.49043179 sigma in 7act. ( 4.06425714 sig out 1act.) RANK 9 NODE 1 --> 3.94663692 sigma in 7act. ( 2.46122265 sig out 1act.) RANK 10 NODE 3 --> 3.81450534 sigma in 7act. ( 1.26004016 sig out 1act.) RANK 11 NODE 11 --> 3.78075242 sigma in 7act. ( 2.22326899 sig out 1act.) RANK 12 NODE 7 --> 3.61374998 sigma in 7act. ( 2.14424443 sig out 1act.) RANK 13 NODE 10 --> 3.17665863 sigma in 7act. ( 4.50153828 sig out 1act.) RANK 14 NODE 12 --> 2.44326854 sigma in 7act. ( 0.389342576 sig out 1act.) RANK 15 NODE 6 --> 1.27609015 sigma in 7act. ( 0.191615179 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 6.84025049 sigma out 1act.( 7.71987963 sig in 7act.) RANK 2 NODE 9 --> 5.02757025 sigma out 1act.( 6.68717766 sig in 7act.) RANK 3 NODE 10 --> 4.50153828 sigma out 1act.( 3.17665863 sig in 7act.) RANK 4 NODE 4 --> 4.25241232 sigma out 1act.( 5.19201517 sig in 7act.) RANK 5 NODE 5 --> 4.06425714 sigma out 1act.( 4.49043179 sig in 7act.) RANK 6 NODE 15 --> 4.00864077 sigma out 1act.( 6.13035774 sig in 7act.) RANK 7 NODE 8 --> 3.97401404 sigma out 1act.( 6.91715622 sig in 7act.) RANK 8 NODE 14 --> 3.63393378 sigma out 1act.( 4.83641195 sig in 7act.) RANK 9 NODE 13 --> 3.40097165 sigma out 1act.( 6.04413271 sig in 7act.) RANK 10 NODE 1 --> 2.46122265 sigma out 1act.( 3.94663692 sig in 7act.) RANK 11 NODE 11 --> 2.22326899 sigma out 1act.( 3.78075242 sig in 7act.) RANK 12 NODE 7 --> 2.14424443 sigma out 1act.( 3.61374998 sig in 7act.) RANK 13 NODE 3 --> 1.26004016 sigma out 1act.( 3.81450534 sig in 7act.) RANK 14 NODE 12 --> 0.389342576 sigma out 1act.( 2.44326854 sig in 7act.) RANK 15 NODE 6 --> 0.191615179 sigma out 1act.( 1.27609015 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.175293 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.44961521 *** contribution from regularisation: 0.0182185825 *** contribution from error: -0.467833787 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.520167947 *** contribution from regularisation: 0.00976689532 *** contribution from error: -0.529934824 *********************************************** -----------------> Test sample ENTER BFGS code START -4384.81814 0.4380202 -0.844109058 EXIT FROM BFGS code FG_START 0. 0.4380202 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.537371397 *** contribution from regularisation: 0.00630775094 *** contribution from error: -0.543679118 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4528.96626 0.4380202 17.9628296 EXIT FROM BFGS code FG_LNSRCH 0. 0.530189693 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.549497724 *** contribution from regularisation: 0.010749124 *** contribution from error: -0.560246825 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4631.16692 0.530189693 -16.9941139 EXIT FROM BFGS code NEW_X -4631.16692 0.530189693 -16.9941139 ENTER BFGS code NEW_X -4631.16692 0.530189693 -16.9941139 EXIT FROM BFGS code FG_LNSRCH 0. 0.484350115 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.55124402 *** contribution from regularisation: 0.0109091578 *** contribution from error: -0.562153161 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4645.88478 0.484350115 -2.9297483 EXIT FROM BFGS code NEW_X -4645.88478 0.484350115 -2.9297483 ENTER BFGS code NEW_X -4645.88478 0.484350115 -2.9297483 EXIT FROM BFGS code FG_LNSRCH 0. 0.460895866 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.551797092 *** contribution from regularisation: 0.010242519 *** contribution from error: -0.562039614 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4650.54588 0.460895866 2.31166291 EXIT FROM BFGS code NEW_X -4650.54588 0.460895866 2.31166291 ENTER BFGS code NEW_X -4650.54588 0.460895866 2.31166291 EXIT FROM BFGS code FG_LNSRCH 0. 0.438650429 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.552527368 *** contribution from regularisation: 0.00905174296 *** contribution from error: -0.561579108 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4656.70077 0.438650429 6.04376984 EXIT FROM BFGS code NEW_X -4656.70077 0.438650429 6.04376984 ENTER BFGS code NEW_X -4656.70077 0.438650429 6.04376984 EXIT FROM BFGS code FG_LNSRCH 0. 0.388383985 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.547944427 *** contribution from regularisation: 0.00707518682 *** contribution from error: -0.555019617 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4618.07579 0.388383985 9.10794735 EXIT FROM BFGS code FG_LNSRCH 0. 0.431837291 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.541064441 *** contribution from regularisation: 0.020187892 *** contribution from error: -0.561252356 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4560.09128 0.431837291 8.40369511 EXIT FROM BFGS code FG_LNSRCH 0. 0.438590318 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 9.78230476 sigma out 15 active outputs RANK 2 NODE 1 --> 8.23657608 sigma out 15 active outputs RANK 3 NODE 4 --> 5.10520649 sigma out 15 active outputs RANK 4 NODE 3 --> 3.59067512 sigma out 15 active outputs RANK 5 NODE 6 --> 2.93811655 sigma out 15 active outputs RANK 6 NODE 7 --> 2.54456019 sigma out 15 active outputs RANK 7 NODE 2 --> 1.83243871 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 6.83775139 sigma in 7act. ( 3.90726209 sig out 1act.) RANK 2 NODE 9 --> 6.33367014 sigma in 7act. ( 4.04710913 sig out 1act.) RANK 3 NODE 2 --> 6.24479198 sigma in 7act. ( 4.31209803 sig out 1act.) RANK 4 NODE 15 --> 5.1943326 sigma in 7act. ( 3.69220686 sig out 1act.) RANK 5 NODE 4 --> 3.31401205 sigma in 7act. ( 2.53058076 sig out 1act.) RANK 6 NODE 13 --> 2.78032756 sigma in 7act. ( 1.06181097 sig out 1act.) RANK 7 NODE 1 --> 2.7701838 sigma in 7act. ( 1.83776593 sig out 1act.) RANK 8 NODE 10 --> 2.7283318 sigma in 7act. ( 2.21943307 sig out 1act.) RANK 9 NODE 3 --> 2.63457227 sigma in 7act. ( 1.68354118 sig out 1act.) RANK 10 NODE 11 --> 2.61628342 sigma in 7act. ( 1.97157514 sig out 1act.) RANK 11 NODE 7 --> 2.58412552 sigma in 7act. ( 1.89264989 sig out 1act.) RANK 12 NODE 5 --> 2.4557755 sigma in 7act. ( 2.04732919 sig out 1act.) RANK 13 NODE 14 --> 1.91964424 sigma in 7act. ( 1.13294721 sig out 1act.) RANK 14 NODE 12 --> 1.88062775 sigma in 7act. ( 1.22902632 sig out 1act.) RANK 15 NODE 6 --> 0.748536646 sigma in 7act. ( 0.487900048 sig out 1act.) sorted by output significance RANK 1 NODE 2 --> 4.31209803 sigma out 1act.( 6.24479198 sig in 7act.) RANK 2 NODE 9 --> 4.04710913 sigma out 1act.( 6.33367014 sig in 7act.) RANK 3 NODE 8 --> 3.90726209 sigma out 1act.( 6.83775139 sig in 7act.) RANK 4 NODE 15 --> 3.69220686 sigma out 1act.( 5.1943326 sig in 7act.) RANK 5 NODE 4 --> 2.53058076 sigma out 1act.( 3.31401205 sig in 7act.) RANK 6 NODE 10 --> 2.21943307 sigma out 1act.( 2.7283318 sig in 7act.) RANK 7 NODE 5 --> 2.04732919 sigma out 1act.( 2.4557755 sig in 7act.) RANK 8 NODE 11 --> 1.97157514 sigma out 1act.( 2.61628342 sig in 7act.) RANK 9 NODE 7 --> 1.89264989 sigma out 1act.( 2.58412552 sig in 7act.) RANK 10 NODE 1 --> 1.83776593 sigma out 1act.( 2.7701838 sig in 7act.) RANK 11 NODE 3 --> 1.68354118 sigma out 1act.( 2.63457227 sig in 7act.) RANK 12 NODE 12 --> 1.22902632 sigma out 1act.( 1.88062775 sig in 7act.) RANK 13 NODE 14 --> 1.13294721 sigma out 1act.( 1.91964424 sig in 7act.) RANK 14 NODE 13 --> 1.06181097 sigma out 1act.( 2.78032756 sig in 7act.) RANK 15 NODE 6 --> 0.487900048 sigma out 1act.( 0.748536646 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 9.86073685 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.553847671 *** contribution from regularisation: 0.00772877317 *** contribution from error: -0.561576426 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4667.82818 0.438590318 5.83321571 EXIT FROM BFGS code FG_LNSRCH 0. 0.438526481 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.549552321 *** contribution from regularisation: 0.012021346 *** contribution from error: -0.561573684 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4631.62719 0.438526481 6.81090069 EXIT FROM BFGS code FG_LNSRCH 0. 0.438590318 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.552219093 *** contribution from regularisation: 0.00935734622 *** contribution from error: -0.561576426 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4654.10256 0.438590318 6.54416323 EXIT FROM BFGS code FG_LNSRCH 0. 0.438590318 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.550269008 *** contribution from regularisation: 0.0113074193 *** contribution from error: -0.561576426 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4637.66735 0.438590318 6.71297646 EXIT FROM BFGS code NEW_X -4637.66735 0.438590318 6.71297646 ENTER BFGS code NEW_X -4637.66735 0.438590318 6.71297646 EXIT FROM BFGS code CONVERGENC -4637.66735 0.438590318 6.71297646 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 15.8385448 sigma out 15 active outputs RANK 2 NODE 1 --> 12.7683268 sigma out 15 active outputs RANK 3 NODE 4 --> 8.26598644 sigma out 15 active outputs RANK 4 NODE 3 --> 5.67183065 sigma out 15 active outputs RANK 5 NODE 6 --> 3.95587444 sigma out 15 active outputs RANK 6 NODE 7 --> 3.59695339 sigma out 15 active outputs RANK 7 NODE 2 --> 2.6499908 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 10.9926758 sigma in 7act. ( 7.39096165 sig out 1act.) RANK 2 NODE 8 --> 10.4350119 sigma in 7act. ( 7.98981619 sig out 1act.) RANK 3 NODE 9 --> 9.77022648 sigma in 7act. ( 8.0895052 sig out 1act.) RANK 4 NODE 15 --> 8.22127628 sigma in 7act. ( 6.30531359 sig out 1act.) RANK 5 NODE 4 --> 4.79670286 sigma in 7act. ( 4.60246181 sig out 1act.) RANK 6 NODE 10 --> 4.64408588 sigma in 7act. ( 2.9158175 sig out 1act.) RANK 7 NODE 1 --> 4.29819345 sigma in 7act. ( 2.79286575 sig out 1act.) RANK 8 NODE 3 --> 4.17448187 sigma in 7act. ( 2.54093266 sig out 1act.) RANK 9 NODE 7 --> 4.13758755 sigma in 7act. ( 3.11831999 sig out 1act.) RANK 10 NODE 11 --> 3.98573995 sigma in 7act. ( 3.23607945 sig out 1act.) RANK 11 NODE 5 --> 3.90342045 sigma in 7act. ( 2.92476726 sig out 1act.) RANK 12 NODE 13 --> 3.55388379 sigma in 7act. ( 1.58618641 sig out 1act.) RANK 13 NODE 12 --> 2.86931729 sigma in 7act. ( 1.65286314 sig out 1act.) RANK 14 NODE 14 --> 2.58242512 sigma in 7act. ( 1.62688816 sig out 1act.) RANK 15 NODE 6 --> 0.984455824 sigma in 7act. ( 0.556197405 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 8.0895052 sigma out 1act.( 9.77022648 sig in 7act.) RANK 2 NODE 8 --> 7.98981619 sigma out 1act.( 10.4350119 sig in 7act.) RANK 3 NODE 2 --> 7.39096165 sigma out 1act.( 10.9926758 sig in 7act.) RANK 4 NODE 15 --> 6.30531359 sigma out 1act.( 8.22127628 sig in 7act.) RANK 5 NODE 4 --> 4.60246181 sigma out 1act.( 4.79670286 sig in 7act.) RANK 6 NODE 11 --> 3.23607945 sigma out 1act.( 3.98573995 sig in 7act.) RANK 7 NODE 7 --> 3.11831999 sigma out 1act.( 4.13758755 sig in 7act.) RANK 8 NODE 5 --> 2.92476726 sigma out 1act.( 3.90342045 sig in 7act.) RANK 9 NODE 10 --> 2.9158175 sigma out 1act.( 4.64408588 sig in 7act.) RANK 10 NODE 1 --> 2.79286575 sigma out 1act.( 4.29819345 sig in 7act.) RANK 11 NODE 3 --> 2.54093266 sigma out 1act.( 4.17448187 sig in 7act.) RANK 12 NODE 12 --> 1.65286314 sigma out 1act.( 2.86931729 sig in 7act.) RANK 13 NODE 14 --> 1.62688816 sigma out 1act.( 2.58242512 sig in 7act.) RANK 14 NODE 13 --> 1.58618641 sigma out 1act.( 3.55388379 sig in 7act.) RANK 15 NODE 6 --> 0.556197405 sigma out 1act.( 0.984455824 sig in 7act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.4515362 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.55136472 *** contribution from regularisation: 0.0102117257 *** contribution from error: -0.561576426 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 24050 Closing output file done