NNInput NNInputs_180.root Options for steering Constraint : lep1_E<400&&lep2_E<400&& HiLoSbString : SB SbString : Target WeightString : TrainWeight EqualizeSB : 0 EvaluateVariables : 0 SetNBProcessingDefault : 1 UseNeuroBayes : 1 WeightEvents : 1 NBTreePrepEvPrint : 1 NBTreePrepReportInterval : 10000 NB_Iter : 250 NBZero999Tol : 0.001 **** List Parameters **** Method:H6AONN5MEMLP:MLP : !V:NCycles=250:HiddenLayers=N+1,N Value for FileString Not found Value for RandString Not found Value for DilTypeString Not found Determine File Parameters : Info: No file info in tree NNAna::CopyTree: entries= 11029 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 = 2262 nbkg = 8767 Bkg Entries: 8767 Sig Entries: 2262 Chosen entries: 2262 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.258013 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 8767 Actual Signal Entries: 2262 Entries to split: 2262 Test with : 1131 Train with : 1131 ********************************************* * 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= 2262 for Signal Prepared event 0 for Signal with 2262 events ====Entry 0 Variable Ht : 100.98 Variable LepAPt : 50.5792 Variable LepBPt : 12.3902 Variable MetSigLeptonsJets : 4.78989 Variable MetSpec : 38.0094 Variable SumEtLeptonsJets : 62.9694 Variable VSumJetLeptonsPt : 62.122 Variable addEt : 100.98 Variable dPhiLepSumMet : 2.89738 Variable dPhiLeptons : 0.414247 Variable dRLeptons : 0.494437 Variable lep1_E : 50.7228 Variable lep2_E : 12.6265 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 2180 Ht = 100.98 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 50.5794 LepAPt = 50.5792 LepBEt = 12.391 LepBPt = 12.3902 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 38.0094 MetDelPhi = 2.5635 MetSig = 3.29053 MetSigLeptonsJets = 4.78989 MetSpec = 38.0094 Mjj = 0 MostCentralJetEta = 0 MtllMet = 101.349 Njets = 0 SB = 0 SumEt = 133.429 SumEtJets = 0 SumEtLeptonsJets = 62.9694 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 62.122 addEt = 100.98 dPhiLepSumMet = 2.89738 dPhiLeptons = 0.414247 dRLeptons = 0.494437 diltype = 41 dimass = 12.3319 event = 574 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 50.7228 lep2_E = 12.6265 rand = 0.999742 run = 167445 weight = 2.47562e-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= 8767 for Background Prepared event 0 for Background with 8767 events ====Entry 0 Variable Ht : 79.7868 Variable LepAPt : 30.5457 Variable LepBPt : 11.4206 Variable MetSigLeptonsJets : 5.83799 Variable MetSpec : 37.8193 Variable SumEtLeptonsJets : 41.9663 Variable VSumJetLeptonsPt : 41.2152 Variable addEt : 79.7868 Variable dPhiLepSumMet : 2.89654 Variable dPhiLeptons : 0.426439 Variable dRLeptons : 0.500605 Variable lep1_E : 30.5607 Variable lep2_E : 11.7282 ===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 = 79.7868 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.546 LepAPt = 30.5457 LepBEt = 11.4214 LepBPt = 11.4206 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 37.8193 MetDelPhi = 2.58497 MetSig = 2.81024 MetSigLeptonsJets = 5.83799 MetSpec = 37.8193 Mjj = 0 MostCentralJetEta = 0 MtllMet = 80.0898 Njets = 0 SB = 0 SumEt = 181.11 SumEtJets = 0 SumEtLeptonsJets = 41.9663 Target = 0 TrainWeight = 2.77506 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.2152 addEt = 79.7868 dPhiLepSumMet = 2.89654 dPhiLeptons = 0.426439 dRLeptons = 0.500605 diltype = 41 dimass = 9.31149 event = 6639571 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 30.5607 lep2_E = 11.7282 rand = 0.999742 run = 271566 weight = 0.0400324 ===Show End Warning: found 286 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 11029 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 286 negative weights. Signal fraction: 62.3214912 % ------------------------------ 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 57.7347679 67.1979675 67.2291412 68.2973938 68.583252 68.8892517 70.2826996 71.2753448 73.4309464 73.9544678 74.4224167 77.0111008 78.7071304 79.6412201 79.7740021 80.6520996 81.2909546 82.2220459 82.4283981 82.687439 84.5198364 86.196991 88.0672607 88.5266266 89.2397995 89.2848206 90.7575378 91.1165543 92.0263367 93.0962143 93.8457565 95.1874313 95.6003036 97.19207 97.2866974 99.49646 100.219727 101.540909 102.116684 102.795128 104.873932 105.95166 106.241318 106.706421 108.097656 109.846954 110.787643 111.812141 112.879639 114.427048 116.214432 117.631302 119.087311 120.541748 121.016785 122.378387 123.331589 124.41951 125.230522 126.171875 127.366409 128.378754 129.041443 130.177322 130.970505 132.336517 133.54071 135.870728 137.569 138.674835 140.090546 141.590683 143.432007 145.145401 147.415054 148.545258 150.504623 152.44278 154.668945 156.321594 156.867355 159.265228 161.065842 164.160492 167.539581 170.529877 174.689514 179.120041 181.875916 184.673523 190.781097 194.384567 198.907043 204.458313 211.212219 218.868378 227.555954 238.997864 259.921326 313.068359 535.656311 ------------------------------ Transdef: Tab for variable 3 20.0047188 20.4469223 20.5240974 21.0118942 21.4148693 21.5828991 21.7738838 22.140934 22.5842533 22.6079597 22.887886 23.2076855 23.3286133 23.5897636 23.7405415 23.8261719 23.9124374 24.2052765 24.6216431 25.0222569 25.1100521 25.3634777 25.6550961 25.8946514 26.1329651 26.3650475 26.4810848 26.5989075 26.780304 26.9790382 27.2355499 27.615036 27.6351414 27.6832371 27.9057293 28.1561661 28.2432594 28.5814247 28.910038 29.129961 29.1379261 29.2433281 29.3684425 29.6090126 29.8789749 30.205822 30.4494686 30.5453396 30.6203136 31.0000381 31.0930328 31.3223038 31.4214134 31.7172127 31.949192 32.1179886 32.371933 32.7847595 33.0351524 33.2340927 33.4903183 33.8166504 34.1400948 34.1801262 34.4219398 34.6764221 35.0893021 35.5531464 35.8648376 36.2496452 36.6987686 36.8553238 37.1946335 37.5628967 37.5641212 37.8326874 38.0922546 38.2201767 38.6433105 39.4758148 39.9296494 40.3030167 41.020752 41.7143936 41.7601051 42.5273895 43.0513077 43.6460876 44.4303513 45.2284431 46.3194427 47.0675964 47.8803024 49.2908401 50.3354607 52.2539062 53.9487114 55.850296 60.9202118 65.2943344 86.3822861 ------------------------------ Transdef: Tab for variable 4 10.0092888 10.177784 10.285759 10.3806133 10.4586315 10.5276775 10.6492472 10.727459 10.7579155 10.8855381 11.0011578 11.0711927 11.2070656 11.3006897 11.3841448 11.4199448 11.4365826 11.4382238 11.6347179 11.686574 11.7528725 11.8173332 11.9773798 12.1874027 12.2547693 12.3556862 12.5724945 12.6544075 12.887331 12.9482784 13.1294842 13.4767036 13.4957876 13.5587578 13.6647577 13.8745918 13.9357691 13.9574299 14.1798458 14.3795662 14.5720863 14.901062 15.1891747 15.2915459 15.3661976 15.4487724 15.7966242 16.1790619 16.4379253 16.5916233 16.8623447 17.1934776 17.5175896 17.9692345 18.3821468 18.7535229 19.0468121 19.3859253 19.901123 20.1292915 20.3240566 20.4093208 20.4703331 20.6228714 20.8206615 21.0494385 21.1523724 21.2925758 21.53022 21.7597008 21.9316673 21.9851494 22.1867828 22.4527397 22.6736107 22.8841438 23.0592003 23.2707481 23.5279121 23.7895985 24.0744324 24.2542877 24.5214901 24.7702408 25.0202332 25.3324318 25.6197624 25.9827709 26.1957836 26.2890377 26.5872612 26.9264526 27.2772198 27.6531887 28.3162403 28.8453865 29.3623085 30.1847153 31.176981 32.4117126 37.2501602 ------------------------------ Transdef: Tab for variable 5 2.20369816 3.03986931 3.05828762 3.25199127 3.30445147 3.42535019 3.79002571 4.06332874 4.4527607 4.59323215 4.62909985 4.6513052 4.75706625 4.78975677 4.95960808 5.12551022 5.14557934 5.27328968 5.3325491 5.4270854 5.55123425 5.66212654 5.70110893 5.82483292 5.83572769 5.84327793 5.92814541 6.0141573 6.01506329 6.09615707 6.1045928 6.17837715 6.20114994 6.2183733 6.25648975 6.26191664 6.2707901 6.2763629 6.32330799 6.33946991 6.42526245 6.48846674 6.50650024 6.55158329 6.5958457 6.65219021 6.72259808 6.72962332 6.82215023 6.82966232 6.89748144 6.96656513 6.96696758 7.01300621 7.04378033 7.07510376 7.15146351 7.2210536 7.25733757 7.29871178 7.31088066 7.36966705 7.42627907 7.47685146 7.53004074 7.59381962 7.6188097 7.63064861 7.68929863 7.71723604 7.782794 7.84914589 7.89481735 7.98081923 8.04585266 8.0972805 8.20226192 8.27462959 8.38332558 8.4539814 8.47887897 8.51507378 8.64487457 8.72825241 8.73409176 8.80802345 8.88973236 8.98369598 9.08358097 9.31119442 9.4916172 9.60723495 9.73668289 9.87324142 10.0041046 10.1342211 10.4369068 10.6841335 11.2699289 12.2657957 16.1211872 ------------------------------ Transdef: Tab for variable 6 25.0100327 27.0051575 27.0059814 27.279274 28.7046738 29.3504333 29.4322548 30.4784107 31.2835484 32.4542351 33.5753937 34.128273 34.7846985 34.8487968 35.0007477 35.9221649 35.9765396 36.3992615 36.4875984 37.4986572 37.5953445 37.8621445 37.8681717 38.1333733 39.5127335 39.5921783 39.8240433 40.2769012 40.3395119 40.4829941 41.2395782 42.0806732 42.3402252 42.7742424 43.6479225 43.7578735 44.3627548 45.4622078 45.9243546 46.5203133 46.5234451 46.9491653 47.5339775 47.5443878 48.370018 48.8828049 49.2178802 49.2572784 50.0103989 50.013813 50.7963753 51.1894073 52.1010895 52.7796593 53.2332726 53.5560532 54.7531929 55.1774521 56.0302353 56.8952141 56.97332 57.003109 57.8385391 58.4373016 59.0033379 59.6012726 60.1205826 60.906414 61.6735077 62.6515961 63.5646057 64.3563385 65.0635834 66.168335 67.1279449 68.2680054 69.0588837 69.7790985 71.0182953 71.9090271 72.9569931 73.690834 74.7049408 76.0417633 77.1322632 77.5240479 78.7203827 80.4926834 81.8793106 84.0930099 85.472641 87.8063889 89.4895248 91.6788635 94.6615295 97.7199554 101.974701 106.718758 114.291451 134.928925 260.776672 ------------------------------ Transdef: Tab for variable 7 30.3449535 30.7424355 32.4570236 32.9031982 33.789772 35.5297852 35.9282455 36.5658875 36.8697052 37.0685501 37.766758 38.0236816 38.2082443 38.272953 40.3546219 40.3984642 40.4475632 40.9812202 41.4899597 41.9658508 42.0710831 42.2085648 43.0818367 43.1743546 43.3435402 44.593544 44.6326523 45.1501236 45.4548111 45.4808159 45.9886208 46.8610268 47.4851761 48.328907 50.1208191 51.3582497 52.4978409 52.6237488 53.0258789 53.149147 53.9355392 54.548893 55.4567719 56.2400589 57.1036606 58.0058746 58.7042503 59.7900543 60.628067 61.3180313 61.5034409 62.7589417 63.6777458 63.8191757 64.5708313 64.8860474 65.3768921 66.1004181 67.0421753 68.0376129 68.8887329 70.6731415 71.1923447 71.4815445 72.1536102 72.265213 73.1728973 74.2367325 75.3105927 76.5696945 78.0989685 78.7901764 79.4333649 81.1793442 82.9439087 84.207222 86.2549896 87.2687073 89.1622696 90.8556366 91.6152496 93.2877045 93.7423325 94.9370956 96.5936737 99.0149536 100.351837 102.749016 105.156929 107.874283 111.7556 114.154984 117.107819 121.87381 126.627235 130.040192 137.862122 144.814621 155.014557 190.080994 284.329834 ------------------------------ Transdef: Tab for variable 8 9.65169621 27.1679497 28.3106499 28.7778206 29.6854801 30.2081718 32.0927582 32.7662315 32.9853592 33.2300453 33.8979568 34.4072495 35.2181129 35.8506622 36.1564407 36.5228806 36.609726 36.8693161 36.8987312 37.2801361 37.3390045 38.0108376 38.2405777 39.3293839 39.4574356 40.4268684 40.6527405 40.9829712 41.2147293 41.7634239 41.8266907 42.0597839 42.096489 42.6475601 42.7628555 43.1811829 43.4289474 43.7338791 44.1596527 44.2760201 44.2889862 44.3050919 45.0686264 45.2390518 45.9386749 46.5652084 47.136116 47.876152 48.8076324 49.2058334 49.4874268 50.7816391 51.0379105 51.5909729 52.0815277 52.6478691 53.0168304 53.1732635 53.6523361 54.1063766 54.7762222 55.4884262 55.960495 56.5722885 57.1253662 57.8067932 58.207695 59.1250839 59.8432808 60.9905014 61.9614105 62.4796638 63.0994682 63.8768349 64.4669571 65.3783417 66.0887299 67.0011215 67.9143524 68.7278442 69.7997284 70.7229156 71.6581039 72.3690033 73.1997299 74.6283112 75.5589905 77.7169342 78.6099625 79.0703888 80.2677841 83.0983429 85.4159241 88.2089539 92.1016693 95.417923 99.6704254 104.122498 114.876129 127.270493 240.459518 ------------------------------ Transdef: Tab for variable 9 57.7347679 67.1979675 67.2291412 67.2538223 68.2973938 68.6114044 68.8892517 70.2826996 71.927597 72.2848053 73.4231415 73.9544678 74.4224167 75.6927414 77.0189514 78.0470047 78.7110062 79.6412201 79.7740021 79.7804108 80.6520996 81.2828293 81.688736 82.4283981 82.687439 82.7539291 84.5791168 86.2057343 86.9309235 88.3897552 88.5266266 89.2397995 89.2854156 89.3442841 89.982193 90.2281799 90.4258881 91.1165543 91.7974548 92.6478271 93.0962143 94.06987 95.1874313 95.3797607 96.7586975 97.642395 99.0261536 100.578583 101.553986 102.125351 102.552795 104.007568 105.617889 106.241318 107.069298 108.033539 108.98999 109.070404 109.810593 110.855766 111.830162 112.588562 113.717354 115.108513 116.355751 117.381821 118.635963 119.750717 121.201385 122.381485 123.493874 124.191063 125.302109 126.540695 127.752991 129.133392 130.233276 131.255234 132.260864 133.600647 135.017807 136.929962 138.364105 139.421326 140.552444 142.031754 143.696838 144.685608 146.704163 148.545258 151.052979 153.686523 156.249969 156.321594 158.026917 160.265228 164.401672 168.753525 176.512878 191.649048 299.193237 ------------------------------ Transdef: Tab for variable 10 0.579078615 1.26328444 1.47134256 1.66891146 1.79088759 1.88730824 1.89583302 1.98997867 2.06856179 2.13606501 2.22469997 2.26712704 2.30234432 2.34489322 2.3931241 2.41908979 2.46946573 2.47945428 2.50772166 2.5445385 2.56887007 2.58986473 2.61236 2.61862659 2.61894846 2.61941576 2.64395475 2.67743969 2.71316314 2.73963666 2.76796293 2.77886939 2.78579402 2.81092262 2.82535076 2.83412313 2.84134674 2.84496307 2.84730673 2.86342168 2.86626196 2.86720824 2.87210226 2.8825984 2.89228201 2.89642143 2.90968657 2.91065717 2.92123508 2.93319321 2.93357849 2.94376349 2.94972491 2.95409393 2.96498394 2.9765439 2.98398209 2.98914075 2.99464035 3.00283647 3.00399137 3.00843096 3.01463413 3.0175724 3.02624273 3.02814746 3.03555179 3.03650713 3.04217863 3.04662228 3.05386472 3.05784535 3.0585742 3.06285381 3.06419468 3.06649232 3.0716536 3.07590628 3.08129716 3.08349466 3.08527827 3.09154797 3.09656 3.09678388 3.09725022 3.10268211 3.10580635 3.10947752 3.1130724 3.11425424 3.1161046 3.11692858 3.11861014 3.12099791 3.12401247 3.12770557 3.13052034 3.13227224 3.13386059 3.1358819 3.14145708 ------------------------------ Transdef: Tab for variable 11 6.0915947E-05 0.00456440449 0.0175635964 0.0291121639 0.037386775 0.0446157455 0.0538497567 0.0635135174 0.0764752626 0.0951937437 0.105688214 0.120752096 0.135657072 0.142006934 0.148557901 0.154146671 0.157856181 0.171377718 0.179631233 0.179671407 0.194526076 0.202903345 0.213449121 0.215511203 0.227462232 0.23793304 0.247417748 0.255275607 0.260251284 0.267040789 0.268768728 0.274220705 0.27890873 0.282113731 0.285751939 0.292835742 0.302194834 0.310909748 0.315254152 0.320124626 0.328465223 0.340014577 0.345172524 0.34658578 0.351733208 0.354201496 0.361529469 0.3695333 0.373805016 0.380871236 0.386789203 0.389578819 0.394908965 0.400124133 0.406367302 0.411031663 0.415416598 0.423403859 0.426409006 0.430196851 0.434535623 0.435921669 0.44174701 0.448246628 0.456997156 0.460082054 0.460270882 0.461232185 0.466938138 0.47284323 0.4738231 0.480054855 0.480698943 0.487272352 0.492300659 0.498587966 0.509507418 0.510979533 0.517594695 0.522622228 0.523597717 0.524300277 0.530173302 0.534350514 0.539600611 0.549430549 0.55371213 0.5637995 0.583298564 0.602278709 0.620678604 0.639831543 0.667718887 0.689775825 0.71226716 0.755716324 0.756507874 0.802864075 0.863814354 0.883094072 1.11657131 ------------------------------ Transdef: Tab for variable 12 0.200248539 0.211730883 0.245130986 0.261999637 0.306726336 0.336134493 0.359208733 0.370522827 0.402159333 0.405073583 0.407339454 0.409914851 0.41327408 0.41635114 0.419044167 0.421629727 0.424863338 0.428509265 0.430025399 0.431221724 0.43480593 0.437807441 0.439616382 0.442498296 0.444647133 0.448097408 0.450828612 0.452620089 0.454991013 0.457185328 0.458038151 0.462231815 0.464596421 0.467247158 0.46981287 0.471799195 0.472897828 0.477235794 0.480798841 0.483094573 0.486370862 0.489509761 0.492274433 0.495203614 0.497515053 0.500400841 0.500596941 0.504526734 0.50786221 0.511326313 0.516445756 0.517934084 0.518133938 0.521826148 0.523646235 0.527304292 0.530427635 0.53514719 0.540237904 0.547412455 0.552379608 0.55291599 0.559940457 0.565666497 0.568210483 0.569499969 0.572690725 0.577302456 0.579302788 0.580491126 0.5868572 0.593817234 0.5953089 0.600049973 0.611018538 0.619024396 0.62608999 0.634265482 0.642690897 0.650833488 0.660378993 0.665404379 0.677829146 0.685446978 0.694230437 0.698187232 0.702665389 0.711279094 0.714596629 0.733270407 0.743054271 0.748865128 0.762062311 0.769439638 0.809642196 0.849730074 0.859735429 0.872901976 0.91804558 0.991762519 1.13453126 ------------------------------ Transdef: Tab for variable 13 20.1823826 21.6981201 21.7915249 23.0090599 23.7456512 23.8098526 24.3099442 24.4354839 24.4609642 24.7631054 25.1605072 25.3171692 26.1458836 26.8249931 27.0189629 27.2806358 27.3563423 27.6864166 27.8040943 28.2944565 28.6448326 28.8640709 29.1751022 29.4266586 29.5910225 29.8488083 30.3267899 30.4475136 30.5538578 30.8869324 30.9233303 31.0666351 31.3677673 31.8369789 32.0548477 32.3111801 32.3637009 32.3880081 32.6781693 32.7188683 33.047226 33.4457626 33.6076736 33.7450867 33.8063469 34.2664185 34.7441559 35.23172 35.38694 35.7109604 36.0837326 36.2443352 36.3308258 36.6295891 37.1932678 37.271431 37.3443222 37.7289886 37.9782982 38.1270981 38.5526009 38.663372 39.1049042 39.523819 39.5933685 39.822155 40.2900009 40.8348656 41.1016617 41.5522614 42.1896591 42.6136246 42.7047577 43.4792175 44.0451202 44.8194046 45.3147583 45.9024239 46.8923683 47.5348778 48.1194687 48.594986 49.3150711 50.2324371 51.15242 52.1738777 53.6315308 54.5207329 54.9170494 55.1982727 55.7589111 56.7408295 57.7733765 59.4043579 61.5084534 64.5185089 67.7176514 69.4712906 72.3756561 78.7730408 103.680954 ------------------------------ Transdef: Tab for variable 14 10.0873671 10.2623997 10.530386 10.5833817 10.818778 10.904932 11.2472019 11.3133965 11.3961935 11.5452766 11.7239475 11.7289228 11.7944164 12.2188196 12.2945137 12.4186077 12.6838741 13.1635008 13.2051907 13.4785004 13.540267 13.7535839 14.4222965 14.5085974 14.9958324 15.3551521 15.4054203 15.8757687 16.2698116 16.4337387 16.8362579 16.9561539 17.1861038 17.2076759 17.5268021 17.895668 18.250906 18.3816395 18.6410904 19.0570221 19.0808849 19.2142963 19.4306259 20.0495548 20.3936806 20.5890465 20.737854 20.7434731 20.9932079 21.2724953 21.318327 21.5585155 21.8404083 21.9334106 22.1615734 22.4558163 22.6634636 22.91646 23.1668167 23.4763699 23.7115459 23.9895668 24.2237854 24.544548 24.9075012 25.2511349 25.2866783 25.5249329 25.9473534 26.1641712 26.4509087 26.6963997 26.9102001 27.2065926 27.3776207 27.6648941 27.9629364 28.3467865 28.7691994 29.1120758 29.5932617 29.9983654 30.3988018 30.8827782 31.2381401 31.8590984 32.3016586 33.0233421 33.6576309 34.2171097 34.5351448 35.2017136 36.0727463 36.3015862 37.6825104 39.0983238 41.5395012 45.2828445 47.742424 48.5756149 65.4020844 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 58.6 26.8 49.0 29.9 47.1 53.4 51.1 55.2 -18.4 -17.7 -12.3 25.6 42.3 2 58.6 100.0 51.5 48.5 42.2 73.2 93.7 77.6 89.3 -41.9 -31.0 -31.1 48.0 44.0 3 26.8 51.5 100.0 22.2 15.7 33.9 51.2 44.9 62.5 0.4 -28.9 -36.3 86.9 19.8 4 49.0 48.5 22.2 100.0 19.9 35.3 46.3 45.0 52.9 -7.0 -31.6 -44.0 24.3 82.8 5 29.9 42.2 15.7 19.9 100.0 87.3 10.8 59.1 68.7 26.7 -3.2 1.9 11.7 12.7 6 47.1 73.2 33.9 35.3 87.3 100.0 48.9 82.0 87.8 1.5 -16.5 -10.6 29.2 27.6 7 53.4 93.7 51.2 46.3 10.8 48.9 100.0 66.5 73.0 -54.7 -32.1 -34.9 48.6 44.1 8 51.1 77.6 44.9 45.0 59.1 82.0 66.5 100.0 84.2 -8.2 -26.0 -26.2 41.1 39.2 9 55.2 89.3 62.5 52.9 68.7 87.8 73.0 84.2 100.0 -11.7 -29.5 -30.0 56.2 45.5 10 -18.4 -41.9 0.4 -7.0 26.7 1.5 -54.7 -8.2 -11.7 100.0 10.3 9.6 -3.2 -10.9 11 -17.7 -31.0 -28.9 -31.6 -3.2 -16.5 -32.1 -26.0 -29.5 10.3 100.0 55.4 -24.7 -30.4 12 -12.3 -31.1 -36.3 -44.0 1.9 -10.6 -34.9 -26.2 -30.0 9.6 55.4 100.0 -32.0 -34.7 13 25.6 48.0 86.9 24.3 11.7 29.2 48.6 41.1 56.2 -3.2 -24.7 -32.0 100.0 37.9 14 42.3 44.0 19.8 82.8 12.7 27.6 44.1 39.2 45.5 -10.9 -30.4 -34.7 37.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 146.384903 TOTAL CORRELATION OF ALL VARIABLES 66.1314691 ROUND 1: MAX CORR ( 66.1311794) AFTER KILLING INPUT VARIABLE 6 CONTR 0.195727689 ROUND 2: MAX CORR ( 66.1278564) AFTER KILLING INPUT VARIABLE 10 CONTR 0.662945854 ROUND 3: MAX CORR ( 66.121935) AFTER KILLING INPUT VARIABLE 14 CONTR 0.884931943 ROUND 4: MAX CORR ( 66.1143355) AFTER KILLING INPUT VARIABLE 13 CONTR 1.00245928 ROUND 5: MAX CORR ( 66.0925205) AFTER KILLING INPUT VARIABLE 7 CONTR 1.69826376 ROUND 6: MAX CORR ( 66.0394424) AFTER KILLING INPUT VARIABLE 11 CONTR 2.64826495 ROUND 7: MAX CORR ( 65.6438479) AFTER KILLING INPUT VARIABLE 8 CONTR 7.21756111 ROUND 8: MAX CORR ( 65.1581893) AFTER KILLING INPUT VARIABLE 3 CONTR 7.9702659 ROUND 9: MAX CORR ( 65.0461325) AFTER KILLING INPUT VARIABLE 9 CONTR 3.81972207 ROUND 10: MAX CORR ( 64.9694659) AFTER KILLING INPUT VARIABLE 5 CONTR 3.15719162 ROUND 11: MAX CORR ( 63.1248772) AFTER KILLING INPUT VARIABLE 12 CONTR 15.3714466 ROUND 12: MAX CORR ( 58.5582008) AFTER KILLING INPUT VARIABLE 4 CONTR 23.5730193 LAST REMAINING VARIABLE: 2 total correlation to target: 66.1314691 % total significance: 27.9094163 sigma correlations of single variables to target: variable 2: 58.5582008 % , in sigma: 24.7132754 variable 3: 26.7965005 % , in sigma: 11.3089078 variable 4: 49.0071059 % , in sigma: 20.6824337 variable 5: 29.9404321 % , in sigma: 12.635739 variable 6: 47.1424696 % , in sigma: 19.8955025 variable 7: 53.3843305 % , in sigma: 22.5297506 variable 8: 51.1298358 % , in sigma: 21.5782878 variable 9: 55.1992199 % , in sigma: 23.2956871 variable 10: -18.4061226 % , in sigma: 7.76792269 variable 11: -17.7149184 % , in sigma: 7.47621427 variable 12: -12.321663 % , in sigma: 5.20010259 variable 13: 25.6372941 % , in sigma: 10.8196888 variable 14: 42.2857828 % , in sigma: 17.8458385 variables sorted by significance: 1 most relevant variable 2 corr 58.5582008 , in sigma: 24.7132754 2 most relevant variable 4 corr 23.573019 , in sigma: 9.94850427 3 most relevant variable 12 corr 15.3714466 , in sigma: 6.48720056 4 most relevant variable 5 corr 3.15719151 , in sigma: 1.33242726 5 most relevant variable 9 corr 3.81972218 , in sigma: 1.6120346 6 most relevant variable 3 corr 7.97026587 , in sigma: 3.36368557 7 most relevant variable 8 corr 7.21756124 , in sigma: 3.04602218 8 most relevant variable 11 corr 2.64826488 , in sigma: 1.11764532 9 most relevant variable 7 corr 1.69826376 , in sigma: 0.716717035 10 most relevant variable 13 corr 1.00245929 , in sigma: 0.423067172 11 most relevant variable 14 corr 0.884931922 , in sigma: 0.373467183 12 most relevant variable 10 corr 0.662945867 , in sigma: 0.279782567 13 most relevant variable 6 corr 0.195727691 , in sigma: 0.0826028167 global correlations between input variables: variable 2: 99.3750469 % variable 3: 95.0453926 % variable 4: 90.3176306 % variable 5: 97.1023806 % variable 6: 97.1569797 % variable 7: 99.0593297 % variable 8: 90.3359017 % variable 9: 98.9919822 % variable 10: 74.1273694 % variable 11: 59.273402 % variable 12: 67.1929903 % variable 13: 92.0963276 % variable 14: 89.9953464 % significance loss when removing single variables: variable 2: corr = 9.95481801 % , sigma = 4.20122468 variable 3: corr = 7.26430613 % , sigma = 3.06574989 variable 4: corr = 17.8319808 % , sigma = 7.52561801 variable 5: corr = 5.79742441 % , sigma = 2.44668286 variable 6: corr = 0.195727689 % , sigma = 0.082602816 variable 7: corr = 1.84142858 % , sigma = 0.777136778 variable 8: corr = 6.62282922 % , sigma = 2.79502785 variable 9: corr = 10.4906524 % , sigma = 4.42736248 variable 10: corr = 0.665767628 % , sigma = 0.280973433 variable 11: corr = 2.34948051 % , sigma = 0.99154957 variable 12: corr = 14.8466844 % , sigma = 6.26573553 variable 13: corr = 1.34975773 % , sigma = 0.569637282 variable 14: corr = 0.878268289 % , sigma = 0.370654934 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 3 --> 6.51210308 sigma out 15 active outputs RANK 2 NODE 1 --> 5.39506388 sigma out 15 active outputs RANK 3 NODE 2 --> 4.88000059 sigma out 15 active outputs RANK 4 NODE 4 --> 3.89054847 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 4.62624693 sigma in 4act. ( 5.60681772 sig out 1act.) RANK 2 NODE 7 --> 4.3086586 sigma in 4act. ( 5.19760036 sig out 1act.) RANK 3 NODE 1 --> 3.87641144 sigma in 4act. ( 3.87460828 sig out 1act.) RANK 4 NODE 14 --> 3.70108652 sigma in 4act. ( 3.5416522 sig out 1act.) RANK 5 NODE 8 --> 3.65038323 sigma in 4act. ( 4.37356997 sig out 1act.) RANK 6 NODE 12 --> 3.2025578 sigma in 4act. ( 3.51708865 sig out 1act.) RANK 7 NODE 2 --> 2.30208659 sigma in 4act. ( 2.16474748 sig out 1act.) RANK 8 NODE 13 --> 1.99211168 sigma in 4act. ( 2.18954492 sig out 1act.) RANK 9 NODE 10 --> 1.45637333 sigma in 4act. ( 1.02212799 sig out 1act.) RANK 10 NODE 6 --> 1.45496202 sigma in 4act. ( 1.54712117 sig out 1act.) RANK 11 NODE 4 --> 1.19832349 sigma in 4act. ( 1.1432513 sig out 1act.) RANK 12 NODE 11 --> 1.14506269 sigma in 4act. ( 1.37298346 sig out 1act.) RANK 13 NODE 9 --> 0.977674246 sigma in 4act. ( 0.921019137 sig out 1act.) RANK 14 NODE 15 --> 0.812790096 sigma in 4act. ( 0.916366994 sig out 1act.) RANK 15 NODE 3 --> 0.567727625 sigma in 4act. ( 0.466716558 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 5.60681772 sigma out 1act.( 4.62624693 sig in 4act.) RANK 2 NODE 7 --> 5.19760036 sigma out 1act.( 4.3086586 sig in 4act.) RANK 3 NODE 8 --> 4.37356997 sigma out 1act.( 3.65038323 sig in 4act.) RANK 4 NODE 1 --> 3.87460828 sigma out 1act.( 3.87641144 sig in 4act.) RANK 5 NODE 14 --> 3.5416522 sigma out 1act.( 3.70108652 sig in 4act.) RANK 6 NODE 12 --> 3.51708865 sigma out 1act.( 3.2025578 sig in 4act.) RANK 7 NODE 13 --> 2.18954492 sigma out 1act.( 1.99211168 sig in 4act.) RANK 8 NODE 2 --> 2.16474748 sigma out 1act.( 2.30208659 sig in 4act.) RANK 9 NODE 6 --> 1.54712117 sigma out 1act.( 1.45496202 sig in 4act.) RANK 10 NODE 11 --> 1.37298346 sigma out 1act.( 1.14506269 sig in 4act.) RANK 11 NODE 4 --> 1.1432513 sigma out 1act.( 1.19832349 sig in 4act.) RANK 12 NODE 10 --> 1.02212799 sigma out 1act.( 1.45637333 sig in 4act.) RANK 13 NODE 9 --> 0.921019137 sigma out 1act.( 0.977674246 sig in 4act.) RANK 14 NODE 15 --> 0.916366994 sigma out 1act.( 0.812790096 sig in 4act.) RANK 15 NODE 3 --> 0.466716558 sigma out 1act.( 0.567727625 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.641386 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 15.2414322 sigma out 15 active outputs RANK 2 NODE 4 --> 9.71028519 sigma out 15 active outputs RANK 3 NODE 1 --> 8.02682686 sigma out 15 active outputs RANK 4 NODE 2 --> 4.86082268 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 8.23560905 sigma in 4act. ( 5.03801489 sig out 1act.) RANK 2 NODE 11 --> 7.55861902 sigma in 4act. ( 5.85797119 sig out 1act.) RANK 3 NODE 3 --> 7.52736378 sigma in 4act. ( 3.70172977 sig out 1act.) RANK 4 NODE 4 --> 7.03800154 sigma in 4act. ( 4.17152452 sig out 1act.) RANK 5 NODE 5 --> 6.50537062 sigma in 4act. ( 6.16339731 sig out 1act.) RANK 6 NODE 13 --> 5.94338799 sigma in 4act. ( 4.22630692 sig out 1act.) RANK 7 NODE 8 --> 3.7714746 sigma in 4act. ( 5.35804796 sig out 1act.) RANK 8 NODE 14 --> 3.72823858 sigma in 4act. ( 1.3531543 sig out 1act.) RANK 9 NODE 2 --> 3.66207743 sigma in 4act. ( 1.65084016 sig out 1act.) RANK 10 NODE 1 --> 3.62456012 sigma in 4act. ( 3.62943578 sig out 1act.) RANK 11 NODE 7 --> 3.61507368 sigma in 4act. ( 3.8276 sig out 1act.) RANK 12 NODE 10 --> 3.61375284 sigma in 4act. ( 1.30381215 sig out 1act.) RANK 13 NODE 12 --> 3.28831363 sigma in 4act. ( 3.15371156 sig out 1act.) RANK 14 NODE 9 --> 2.81250095 sigma in 4act. ( 1.01097965 sig out 1act.) RANK 15 NODE 6 --> 2.51573277 sigma in 4act. ( 0.823842108 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 6.16339731 sigma out 1act.( 6.50537062 sig in 4act.) RANK 2 NODE 11 --> 5.85797119 sigma out 1act.( 7.55861902 sig in 4act.) RANK 3 NODE 8 --> 5.35804796 sigma out 1act.( 3.7714746 sig in 4act.) RANK 4 NODE 15 --> 5.03801489 sigma out 1act.( 8.23560905 sig in 4act.) RANK 5 NODE 13 --> 4.22630692 sigma out 1act.( 5.94338799 sig in 4act.) RANK 6 NODE 4 --> 4.17152452 sigma out 1act.( 7.03800154 sig in 4act.) RANK 7 NODE 7 --> 3.8276 sigma out 1act.( 3.61507368 sig in 4act.) RANK 8 NODE 3 --> 3.70172977 sigma out 1act.( 7.52736378 sig in 4act.) RANK 9 NODE 1 --> 3.62943578 sigma out 1act.( 3.62456012 sig in 4act.) RANK 10 NODE 12 --> 3.15371156 sigma out 1act.( 3.28831363 sig in 4act.) RANK 11 NODE 2 --> 1.65084016 sigma out 1act.( 3.66207743 sig in 4act.) RANK 12 NODE 14 --> 1.3531543 sigma out 1act.( 3.72823858 sig in 4act.) RANK 13 NODE 10 --> 1.30381215 sigma out 1act.( 3.61375284 sig in 4act.) RANK 14 NODE 9 --> 1.01097965 sigma out 1act.( 2.81250095 sig in 4act.) RANK 15 NODE 6 --> 0.823842108 sigma out 1act.( 2.51573277 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.8689566 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.456366181 *** contribution from regularisation: 0.0347550511 *** contribution from error: -0.491121233 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.552437663 *** contribution from regularisation: 0.00951275695 *** contribution from error: -0.561950445 *********************************************** -----------------> Test sample ENTER BFGS code START -3046.69271 0.314509392 -0.140802056 EXIT FROM BFGS code FG_START 0. 0.314509392 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.555224061 *** contribution from regularisation: 0.00820726622 *** contribution from error: -0.563431323 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -3061.5056 0.314509392 -2.49263763 EXIT FROM BFGS code FG_LNSRCH 0. 0.217204407 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.55333358 *** contribution from regularisation: 0.00945953466 *** contribution from error: -0.562793136 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3051.0812 0.217204407 -1.38671172 EXIT FROM BFGS code FG_LNSRCH 0. 0.287610561 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.554460466 *** contribution from regularisation: 0.0103219533 *** contribution from error: -0.564782441 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3057.2949 0.287610561 -2.31971669 EXIT FROM BFGS code FG_LNSRCH 0. 0.310810179 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.55314672 *** contribution from regularisation: 0.0105528794 *** contribution from error: -0.563699603 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3050.05111 0.310810179 -2.8536706 EXIT FROM BFGS code FG_LNSRCH 0. 0.314460546 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.553059161 *** contribution from regularisation: 0.010375984 *** contribution from error: -0.563435137 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3049.56815 0.314460546 -2.92836332 EXIT FROM BFGS code FG_LNSRCH 0. 0.314509392 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.553012311 *** contribution from regularisation: 0.0104190363 *** contribution from error: -0.563431323 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3049.3099 0.314509392 -2.95720553 EXIT FROM BFGS code FG_LNSRCH 0. 0.314509392 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.55290997 *** contribution from regularisation: 0.0105213569 *** contribution from error: -0.563431323 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3048.7457 0.314509392 -2.9212172 EXIT FROM BFGS code FG_LNSRCH 0. 0.314509392 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 7.96391678 sigma out 15 active outputs RANK 2 NODE 4 --> 5.70297766 sigma out 15 active outputs RANK 3 NODE 1 --> 5.56182909 sigma out 15 active outputs RANK 4 NODE 2 --> 2.81960511 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 4.72945976 sigma in 4act. ( 3.05536556 sig out 1act.) RANK 2 NODE 11 --> 4.6819725 sigma in 4act. ( 3.61388254 sig out 1act.) RANK 3 NODE 3 --> 4.26029062 sigma in 4act. ( 2.52394247 sig out 1act.) RANK 4 NODE 4 --> 3.95315194 sigma in 4act. ( 2.44906831 sig out 1act.) RANK 5 NODE 5 --> 3.69282937 sigma in 4act. ( 3.02620339 sig out 1act.) RANK 6 NODE 13 --> 3.23941326 sigma in 4act. ( 2.33776712 sig out 1act.) RANK 7 NODE 1 --> 2.404742 sigma in 4act. ( 2.0283339 sig out 1act.) RANK 8 NODE 10 --> 2.27285695 sigma in 4act. ( 0.864526927 sig out 1act.) RANK 9 NODE 14 --> 1.98073244 sigma in 4act. ( 0.237683535 sig out 1act.) RANK 10 NODE 2 --> 1.91797423 sigma in 4act. ( 0.977030754 sig out 1act.) RANK 11 NODE 8 --> 1.89486456 sigma in 4act. ( 2.72655702 sig out 1act.) RANK 12 NODE 9 --> 1.70201111 sigma in 4act. ( 0.789320827 sig out 1act.) RANK 13 NODE 7 --> 1.68952286 sigma in 4act. ( 1.79951847 sig out 1act.) RANK 14 NODE 12 --> 1.62485111 sigma in 4act. ( 1.45782077 sig out 1act.) RANK 15 NODE 6 --> 1.45001984 sigma in 4act. ( 0.61412853 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 3.61388254 sigma out 1act.( 4.6819725 sig in 4act.) RANK 2 NODE 15 --> 3.05536556 sigma out 1act.( 4.72945976 sig in 4act.) RANK 3 NODE 5 --> 3.02620339 sigma out 1act.( 3.69282937 sig in 4act.) RANK 4 NODE 8 --> 2.72655702 sigma out 1act.( 1.89486456 sig in 4act.) RANK 5 NODE 3 --> 2.52394247 sigma out 1act.( 4.26029062 sig in 4act.) RANK 6 NODE 4 --> 2.44906831 sigma out 1act.( 3.95315194 sig in 4act.) RANK 7 NODE 13 --> 2.33776712 sigma out 1act.( 3.23941326 sig in 4act.) RANK 8 NODE 1 --> 2.0283339 sigma out 1act.( 2.404742 sig in 4act.) RANK 9 NODE 7 --> 1.79951847 sigma out 1act.( 1.68952286 sig in 4act.) RANK 10 NODE 12 --> 1.45782077 sigma out 1act.( 1.62485111 sig in 4act.) RANK 11 NODE 2 --> 0.977030754 sigma out 1act.( 1.91797423 sig in 4act.) RANK 12 NODE 10 --> 0.864526927 sigma out 1act.( 2.27285695 sig in 4act.) RANK 13 NODE 9 --> 0.789320827 sigma out 1act.( 1.70201111 sig in 4act.) RANK 14 NODE 6 --> 0.61412853 sigma out 1act.( 1.45001984 sig in 4act.) RANK 15 NODE 14 --> 0.237683535 sigma out 1act.( 1.98073244 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 8.31006145 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.552995682 *** contribution from regularisation: 0.0104356762 *** contribution from error: -0.563431382 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -3049.21814 0.314509392 -2.90891147 EXIT FROM BFGS code FG_LNSRCH 0. 0.314509392 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.553122401 *** contribution from regularisation: 0.0103089353 *** contribution from error: -0.563431323 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -3049.917 0.314509392 -2.91849923 EXIT FROM BFGS code NEW_X -3049.917 0.314509392 -2.91849923 ENTER BFGS code NEW_X -3049.917 0.314509392 -2.91849923 EXIT FROM BFGS code CONVERGENC -3049.917 0.314509392 -2.91849923 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 12.188798 sigma out 15 active outputs RANK 2 NODE 4 --> 9.16864681 sigma out 15 active outputs RANK 3 NODE 1 --> 7.51103449 sigma out 15 active outputs RANK 4 NODE 2 --> 3.94231009 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 8.03946114 sigma in 4act. ( 5.24909782 sig out 1act.) RANK 2 NODE 15 --> 7.45238018 sigma in 4act. ( 4.59878922 sig out 1act.) RANK 3 NODE 3 --> 6.27980757 sigma in 4act. ( 3.76579762 sig out 1act.) RANK 4 NODE 4 --> 5.92327642 sigma in 4act. ( 3.61308575 sig out 1act.) RANK 5 NODE 5 --> 5.75249195 sigma in 4act. ( 4.79519939 sig out 1act.) RANK 6 NODE 13 --> 4.74828529 sigma in 4act. ( 3.49603844 sig out 1act.) RANK 7 NODE 1 --> 3.32151914 sigma in 4act. ( 3.08180046 sig out 1act.) RANK 8 NODE 8 --> 3.2545557 sigma in 4act. ( 3.6605444 sig out 1act.) RANK 9 NODE 10 --> 2.59912777 sigma in 4act. ( 1.21143293 sig out 1act.) RANK 10 NODE 7 --> 2.43324566 sigma in 4act. ( 2.66259837 sig out 1act.) RANK 11 NODE 12 --> 2.17907596 sigma in 4act. ( 2.05110741 sig out 1act.) RANK 12 NODE 2 --> 2.15546989 sigma in 4act. ( 1.45512211 sig out 1act.) RANK 13 NODE 14 --> 2.00120258 sigma in 4act. ( 0.351951331 sig out 1act.) RANK 14 NODE 9 --> 1.98437905 sigma in 4act. ( 1.00313437 sig out 1act.) RANK 15 NODE 6 --> 1.61897123 sigma in 4act. ( 0.760649741 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 5.24909782 sigma out 1act.( 8.03946114 sig in 4act.) RANK 2 NODE 5 --> 4.79519939 sigma out 1act.( 5.75249195 sig in 4act.) RANK 3 NODE 15 --> 4.59878922 sigma out 1act.( 7.45238018 sig in 4act.) RANK 4 NODE 3 --> 3.76579762 sigma out 1act.( 6.27980757 sig in 4act.) RANK 5 NODE 8 --> 3.6605444 sigma out 1act.( 3.2545557 sig in 4act.) RANK 6 NODE 4 --> 3.61308575 sigma out 1act.( 5.92327642 sig in 4act.) RANK 7 NODE 13 --> 3.49603844 sigma out 1act.( 4.74828529 sig in 4act.) RANK 8 NODE 1 --> 3.08180046 sigma out 1act.( 3.32151914 sig in 4act.) RANK 9 NODE 7 --> 2.66259837 sigma out 1act.( 2.43324566 sig in 4act.) RANK 10 NODE 12 --> 2.05110741 sigma out 1act.( 2.17907596 sig in 4act.) RANK 11 NODE 2 --> 1.45512211 sigma out 1act.( 2.15546989 sig in 4act.) RANK 12 NODE 10 --> 1.21143293 sigma out 1act.( 2.59912777 sig in 4act.) RANK 13 NODE 9 --> 1.00313437 sigma out 1act.( 1.98437905 sig in 4act.) RANK 14 NODE 6 --> 0.760649741 sigma out 1act.( 1.61897123 sig in 4act.) RANK 15 NODE 14 --> 0.351951331 sigma out 1act.( 2.00120258 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.2735882 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.55303818 *** contribution from regularisation: 0.0103931576 *** contribution from error: -0.563431323 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 22610 Closing output file done