NNInput NNInputs_140.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= 186813 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 = 47013 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 47013 Chosen entries: 47013 Signal fraction: 1 Background fraction: 0.336288 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 47013 Entries to split: 47013 Test with : 23506 Train with : 23506 ********************************************* * 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= 47013 for Signal Prepared event 0 for Signal with 47013 events ====Entry 0 Variable Ht : 135.044 Variable LepAPt : 36.7733 Variable LepBPt : 15.1786 Variable MetSigLeptonsJets : 6.335 Variable MetSpec : 56.2375 Variable SumEtLeptonsJets : 78.8061 Variable VSumJetLeptonsPt : 65.4215 Variable addEt : 108.19 Variable dPhiLepSumMet : 2.59573 Variable dPhiLeptons : 0.533909 Variable dRLeptons : 0.613899 Variable lep1_E : 40.034 Variable lep2_E : 15.2798 ===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 = 2140 Ht = 135.044 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.7735 LepAPt = 36.7733 LepBEt = 15.1793 LepBPt = 15.1786 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 56.2375 MetDelPhi = 2.21558 MetSig = 4.21501 MetSigLeptonsJets = 6.335 MetSpec = 56.2375 Mjj = 0 MostCentralJetEta = -0.266727 MtllMet = 110.158 Njets = 1 SB = 0 SumEt = 178.015 SumEtJets = 0 SumEtLeptonsJets = 78.8061 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 65.4215 addEt = 108.19 dPhiLepSumMet = 2.59573 dPhiLeptons = 0.533909 dRLeptons = 0.613899 diltype = 17 dimass = 14.3911 event = 161 jet1_Et = 26.8541 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 40.034 lep2_E = 15.2798 rand = 0.999742 run = 234313 weight = 2.40583e-06 ===Show End Prepared event 10000 for Signal with 47013 events Prepared event 20000 for Signal with 47013 events Prepared event 30000 for Signal with 47013 events Prepared event 40000 for Signal with 47013 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 139800 for Background Prepared event 0 for Background with 139800 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===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 = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.278457 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4412 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 186813 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 4412 negative weights. Signal fraction: 62.0286331 % ------------------------------ 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 60.0129318 63.0877914 65.0887909 66.6156845 67.9603882 69.019928 69.9512177 70.8539429 71.5942688 72.4817581 73.3562775 74.0612183 74.7069931 75.3917694 75.92939 76.6401978 77.1926804 77.7494049 78.3608704 78.9541473 79.4857407 80.010849 80.7291718 81.2977448 81.9293976 82.5562439 83.2500916 83.9904785 84.9186478 85.7968216 86.5710754 87.622879 88.6210022 89.5200119 90.7326813 92.1455688 93.3258896 94.7029419 95.9315186 97.0407104 98.3959503 99.5848999 100.968704 102.125351 103.346863 104.563553 105.703529 106.686913 107.936371 108.903488 110.176468 111.301697 112.502228 113.627853 114.684769 116.019203 117.077606 118.444633 119.716309 120.680763 121.896629 123.000763 124.259247 125.385925 126.587677 127.815575 128.987244 130.142273 131.417984 132.644989 133.894455 135.24942 136.615173 138.064651 139.489838 141.358917 143.214569 145.099045 147.081192 149.003723 151.146942 153.494537 155.802368 158.226257 160.814209 163.725739 166.718414 169.761017 173.495728 177.396683 181.452896 186.059235 191.339752 196.802399 203.367188 211.522568 221.901627 235.296478 255.411652 290.558044 896.559204 ------------------------------ Transdef: Tab for variable 3 20.0008526 20.3156929 20.6160583 20.8739243 21.132021 21.4124355 21.5928783 21.8325729 22.0552673 22.2657719 22.4295502 22.6544495 22.8329048 23.065712 23.2324619 23.4289436 23.6296139 23.8321362 24.0533447 24.2572823 24.4622269 24.6663094 24.8634186 25.0818825 25.254715 25.456501 25.6275406 25.7838306 25.9663296 26.1564674 26.3149948 26.5100899 26.7302628 26.926403 27.1171188 27.3024807 27.5252895 27.7180786 27.8974037 28.097765 28.28619 28.5101528 28.6867599 28.8770065 29.0892143 29.2882233 29.5082893 29.7305641 29.9486618 30.1737175 30.4218807 30.6409817 30.8962746 31.1022835 31.3413792 31.5801144 31.7937927 32.0597343 32.3036537 32.5491676 32.7803192 33.076355 33.3415756 33.6381226 33.9241753 34.1904373 34.5061722 34.8085861 35.1128426 35.3965034 35.663765 35.9843788 36.3290482 36.6676712 37.014946 37.3746147 37.706192 38.1516495 38.5636597 39.033371 39.3455887 39.8064346 40.2842407 40.7758408 41.3544388 41.9906387 42.6521645 43.2532768 43.9679642 44.8205299 45.7043228 46.673275 47.7914467 48.9504852 50.4225693 52.0836372 54.1381454 57.1150398 61.3138962 69.407074 166.771118 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1020222 10.2278385 10.3402004 10.4356937 10.5342855 10.6497869 10.7754602 10.8880997 11.0094357 11.1330738 11.2576113 11.3788052 11.5011635 11.6345196 11.7535753 11.8860245 12.0278111 12.1599751 12.2917595 12.4338531 12.5854864 12.7144852 12.8399496 12.954071 13.12957 13.2958145 13.4618702 13.5898247 13.734623 13.8746347 14.0432587 14.2000771 14.3387165 14.5013046 14.696928 14.8765106 15.0553932 15.2272482 15.4187737 15.5919857 15.7707062 15.952424 16.1551647 16.3750057 16.5701332 16.7796154 16.9578247 17.1567039 17.3639336 17.6195374 17.7960777 18.004818 18.2235184 18.4269905 18.6706829 18.8912315 19.0931435 19.3091164 19.5307178 19.772459 20.0253983 20.2211075 20.4456482 20.6543007 20.8708038 21.1051865 21.3309288 21.5801353 21.7946758 22.0102768 22.2590446 22.496151 22.7445869 23.0253639 23.3067932 23.5897751 23.886898 24.2083397 24.5079231 24.8086548 25.1551094 25.498251 25.8527546 26.2041931 26.6215134 27.0352669 27.4271736 27.8374596 28.2764874 28.781002 29.3261204 29.8711395 30.461813 31.1986771 32.0133438 33.0563354 34.3257942 36.5178757 40.456768 71.5196915 ------------------------------ Transdef: Tab for variable 5 0.988441467 2.61527109 3.02601504 3.30445147 3.53806257 3.75494957 3.96092772 4.0947485 4.20744133 4.31081343 4.40731525 4.50318193 4.5932107 4.66386175 4.75950336 4.84406948 4.92623758 4.99927044 5.0593996 5.12470245 5.18568039 5.25106049 5.30664062 5.36068821 5.40505886 5.45186281 5.49886465 5.54793549 5.59224272 5.63473272 5.67788219 5.72860622 5.77424908 5.81452942 5.85785294 5.90252638 5.94171667 5.98200798 6.02066469 6.06212044 6.09740496 6.13789749 6.17907095 6.21280098 6.25860405 6.29417801 6.33116484 6.37021351 6.41256523 6.45057678 6.49540281 6.53678799 6.5783906 6.6189537 6.66364861 6.70330763 6.74402714 6.78588009 6.82798481 6.86572599 6.90264559 6.95727539 6.99356174 7.04294682 7.07940817 7.12991047 7.17257118 7.21601582 7.26034832 7.3114233 7.36403656 7.41224861 7.45657158 7.49937725 7.54479694 7.5980401 7.65661049 7.70835781 7.76765108 7.82448864 7.88402748 7.94233513 8.00169849 8.06808567 8.14328861 8.20613861 8.26827431 8.34695816 8.42470741 8.50543022 8.59915066 8.69653893 8.80249405 8.92944527 9.06633377 9.23940849 9.44202423 9.6806469 10.0936146 10.7782288 19.0639343 ------------------------------ Transdef: Tab for variable 6 15.0038528 20.4558372 25.1517792 26.208725 27.1068516 27.805994 28.6902199 29.4152794 30.0072403 30.7025642 31.2929535 31.8175392 32.3346481 32.8214951 33.3216553 33.7829971 34.2731171 34.622673 34.8990326 35.3103333 35.7427025 36.1439095 36.4703293 36.8154602 37.1040268 37.501503 37.8192406 38.135273 38.4844818 38.8358231 39.1663933 39.5013885 39.8041878 40.2003021 40.4985733 40.8428574 41.1866264 41.6170807 42.0163803 42.3971024 42.7735367 43.1182785 43.5353317 43.890461 44.2975388 44.606472 45.1153603 45.6607475 46.1670609 46.7057228 47.1843796 47.6675491 48.1715698 48.7914162 49.3411407 49.9291992 50.4072113 50.9461823 51.4794426 52.0307922 52.5726089 53.2070923 53.8037262 54.3903809 54.9477234 55.4813538 56.0951538 56.6548615 57.1939926 57.7766266 58.3157654 58.7829056 59.439991 60.0604553 60.6839218 61.3188248 61.9537201 62.5820923 63.2348518 63.8850861 64.5380249 65.238884 65.9698715 66.7933197 67.6325684 68.4692841 69.3964996 70.3851547 71.4922485 72.6401825 73.8778915 75.3795776 77.0023499 78.8756561 81.0448227 83.8792572 87.3088379 91.8003845 98.2201385 109.228088 269.10907 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.8411026 33.7203674 34.4613876 35.0784073 35.5234299 35.9660454 36.3471527 36.7550049 37.085968 37.4321671 37.6621323 38.0040741 38.293869 38.6302338 38.8888245 39.1702194 39.4211197 39.6794853 40.0072098 40.2674522 40.6006203 40.9012604 41.2555428 41.5718079 41.9394417 42.2870483 42.6893768 43.130558 43.5777969 44.136837 44.6186523 45.0621185 45.5754242 46.3110352 46.8707809 47.5848999 48.2705116 48.9529114 49.5190582 50.2762718 51.0354958 51.8034897 52.5289764 53.2960587 54.048542 54.8535538 55.5462151 56.207489 56.9325485 57.6040192 58.2592163 58.9341583 59.6470108 60.4110069 61.1073227 61.6558609 62.3715363 63.0765305 63.8157463 64.5504761 65.346138 66.0969849 66.8565674 67.7701492 68.6650772 69.6447144 70.6958847 71.823822 72.89431 74.1202545 75.4679718 76.8388062 78.3066101 79.7570953 81.2992325 82.847908 84.3334427 85.9676666 87.7177277 89.5588989 91.3990784 93.301712 95.4160156 97.5600586 99.7536163 102.414536 105.173035 107.91951 110.884911 114.145691 117.998917 122.672562 127.47525 133.446442 140.210312 148.843414 160.567139 175.42926 203.612976 514.371704 ------------------------------ Transdef: Tab for variable 8 2.68028092 22.966589 28.2338486 30.1796875 31.552372 32.362236 33.010849 33.5301437 33.9002838 34.379261 34.7974701 35.1399841 35.4487419 35.8346977 36.1134796 36.4298439 36.6806564 37.0179672 37.2593269 37.495636 37.7558022 38.0207825 38.2124023 38.4887161 38.7245827 38.9483948 39.1840591 39.4751587 39.7206841 39.9570618 40.2614212 40.4843903 40.8077469 41.1131668 41.4427452 41.8081856 42.1324921 42.4989777 42.8418236 43.1811523 43.5705414 43.9606209 44.3125992 44.7838402 45.2522812 45.7102051 46.1421471 46.6340141 47.1199646 47.6403732 48.1346664 48.5411682 48.9788742 49.4276085 49.9898224 50.5722771 51.0498161 51.5863457 52.0987473 52.6462135 53.2087975 53.7319145 54.2601089 54.7956238 55.3123474 55.7706833 56.3624344 56.8661003 57.4086418 57.9279099 58.4547234 58.9960327 59.5723724 60.1838112 60.8072968 61.2556686 61.8021812 62.4031296 63.0665817 63.7238731 64.3538971 65.0308685 65.6929016 66.4218903 67.2279892 68.0612411 68.8682404 69.9764481 71.0879745 72.3416748 73.8278351 75.4892349 77.1696091 79.1105576 81.7120667 84.69944 88.4978943 93.2977448 100.763168 113.388695 394.174194 ------------------------------ Transdef: Tab for variable 9 49.2546883 62.7073708 64.3768921 66.0429535 67.2398376 68.3319244 69.2818069 70.0311127 70.7397461 71.4211273 72.1797638 72.9848175 73.6463623 74.2701874 74.8436127 75.4353104 75.9266815 76.5054321 77.0425873 77.5496674 78.0731201 78.5834045 79.0757141 79.5531998 79.9960632 80.6147842 81.112236 81.5790939 82.2061768 82.7026215 83.366684 83.983429 84.6996307 85.4117584 86.0817337 86.7816391 87.4788513 88.3790588 89.0100555 89.754921 90.5983124 91.6599121 92.6109772 93.4585648 94.5189667 95.5341187 96.3797913 97.2458954 98.3270874 99.312294 100.388779 101.48819 102.380554 103.331841 104.304306 105.327316 106.202026 107.104538 107.958588 108.897331 109.86898 110.674225 111.71772 112.690109 113.626633 114.502213 115.375526 116.23642 117.030945 118.037689 118.923187 119.716156 120.60025 121.510818 122.39888 123.356415 124.344757 125.246162 126.174438 127.175293 128.044144 128.945129 129.862442 130.852722 131.865875 132.857025 134.001801 135.095795 136.183594 137.371353 138.69986 140.193863 141.78714 143.667877 145.765335 148.495743 152.455154 157.568726 166.599396 184.337662 449.817017 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.00642622 1.32814932 1.53928065 1.6990844 1.81422555 1.91850448 2.00221491 2.08025026 2.15126944 2.21126747 2.2602005 2.31045508 2.35148287 2.39608693 2.43411684 2.4700942 2.50179815 2.53370905 2.56257963 2.58979583 2.61462402 2.63558817 2.65939856 2.68098259 2.70387745 2.72215509 2.74396658 2.76059914 2.77775764 2.79266977 2.80825639 2.82153916 2.83377719 2.84519315 2.85496569 2.8652997 2.87635422 2.88805389 2.89639044 2.90391183 2.91224575 2.9193368 2.92754173 2.93449736 2.94164133 2.94822478 2.95483637 2.96119261 2.96676397 2.9730854 2.97834492 2.9837532 2.98897791 2.99322557 2.99853325 3.00337219 3.00778365 3.01270819 3.01672935 3.02135181 3.02589607 3.02973247 3.03439069 3.03772807 3.04157448 3.04566026 3.04984975 3.05392599 3.0573082 3.06043983 3.06392026 3.06735253 3.07079649 3.07372713 3.07629061 3.07927537 3.08255243 3.08537459 3.08844471 3.09155369 3.09422159 3.09660506 3.09939098 3.10197639 3.10445023 3.10724545 3.10973573 3.11225677 3.11492014 3.11740685 3.12029552 3.12295413 3.12543726 3.1279211 3.13026047 3.13188028 3.13393211 3.13649035 3.13887954 3.14159226 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00637483597 0.0127387047 0.019816637 0.0257737637 0.0325437412 0.040508993 0.0480427742 0.0565621257 0.062666893 0.0714076757 0.0794654489 0.0872444659 0.0948358774 0.103229165 0.110025361 0.117269218 0.124948084 0.132482171 0.140205562 0.147660434 0.154393196 0.161301911 0.168565571 0.175955355 0.181603193 0.188183293 0.194566548 0.200841337 0.206826806 0.212923527 0.218847722 0.225304917 0.230661258 0.235998392 0.242129296 0.248340845 0.254571497 0.259777486 0.265051544 0.27046895 0.276485205 0.282084316 0.287475526 0.293370247 0.299635291 0.305116832 0.310385585 0.316563666 0.322524786 0.327971458 0.333590984 0.340013742 0.34550783 0.35061717 0.355925441 0.360437155 0.366527796 0.37247324 0.378016949 0.384148687 0.389759213 0.395401359 0.399869323 0.40596348 0.410994947 0.416686058 0.422613025 0.428048849 0.434395194 0.440548778 0.447263002 0.452447951 0.459079742 0.465202928 0.471842885 0.478915691 0.486577421 0.495165348 0.502405286 0.509525537 0.516624629 0.524441063 0.532595634 0.542028964 0.551706076 0.562955856 0.573369026 0.583045483 0.595373392 0.608337283 0.622269869 0.637512922 0.654466987 0.672096372 0.695086598 0.716061115 0.742196679 0.780518949 0.847827196 1.12033129 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.218615472 0.234663025 0.245824188 0.256721377 0.267644286 0.276685953 0.285376757 0.293843478 0.301731229 0.310053051 0.318213761 0.325653374 0.332978785 0.340358913 0.347158909 0.353744864 0.360381603 0.366098106 0.372817397 0.37890178 0.385884106 0.391756773 0.397457004 0.402117789 0.406713009 0.410904497 0.414440215 0.418401241 0.422554851 0.426505715 0.430051625 0.433477521 0.437065601 0.440866292 0.44472748 0.448168397 0.452055335 0.455795258 0.459738135 0.463300616 0.467061073 0.470864326 0.474033177 0.476972461 0.480717003 0.484174758 0.487628222 0.490944922 0.494920731 0.4984231 0.502538562 0.506524265 0.510330915 0.514767408 0.518718362 0.522570133 0.526280165 0.531339705 0.53616941 0.54035145 0.54473722 0.549612701 0.554390669 0.558842301 0.563465953 0.567744613 0.572936952 0.577724218 0.582128167 0.587538242 0.592593729 0.59792161 0.603428185 0.609178483 0.615882039 0.622790456 0.629407585 0.635489643 0.642432213 0.64802891 0.655901074 0.661863208 0.668429852 0.67606169 0.684506893 0.69567579 0.704296827 0.714347243 0.725185752 0.735083103 0.747148275 0.756658912 0.769818783 0.786484599 0.801904321 0.820596695 0.842239857 0.874364316 0.915789902 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.4438477 22.1888409 22.7208061 23.3102818 23.8042526 24.3110046 24.808548 25.2110462 25.6625786 26.0068913 26.3865261 26.7888336 27.107914 27.4734097 27.7849083 28.103199 28.4217968 28.7575207 29.0774517 29.3558464 29.644886 29.9772415 30.294075 30.5718441 30.8435898 31.0770874 31.4052563 31.7039719 31.9985847 32.2722054 32.5245056 32.8843689 33.1594658 33.4477081 33.7653503 34.0741234 34.4121132 34.7035789 34.9902992 35.2907257 35.584137 35.9093246 36.1926689 36.462616 36.8290024 37.169075 37.5070763 37.8790588 38.2052422 38.5532417 38.9226608 39.3000031 39.656311 39.9913712 40.4075546 40.7751083 41.2114258 41.6624451 42.0887146 42.5501862 42.979084 43.3423843 43.7237511 44.2375717 44.7122345 45.2549515 45.7955322 46.3858109 46.9885635 47.5811081 48.0993576 48.7108078 49.2872696 49.993515 50.6971741 51.3095779 52.0304947 52.7142792 53.6010208 54.4435577 55.3553772 56.3275681 57.3180542 58.3675652 59.716877 60.9540634 62.3162613 63.9289284 65.6959 67.4294128 69.4700623 71.6131287 74.2758636 76.6360779 79.8009644 83.4501495 87.6026688 93.9186859 103.960693 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.5521107 11.0060253 11.3570843 11.7202921 12.0291767 12.3479567 12.6340942 12.881506 13.184391 13.4664583 13.6953735 13.9535704 14.2440014 14.5003834 14.755722 15.011652 15.244873 15.4924831 15.7563877 16.006916 16.2784557 16.5025921 16.753788 16.9704685 17.2659035 17.5518894 17.8069992 18.048481 18.2577057 18.5151997 18.756937 19.021677 19.2142963 19.4505005 19.6922169 19.9666805 20.2010841 20.4311218 20.6982384 20.9369545 21.1743622 21.4058723 21.6455364 21.8952503 22.1355553 22.364399 22.6021614 22.8857918 23.1568451 23.428009 23.6860237 23.9906082 24.2735271 24.5519714 24.8146038 25.0646 25.3198929 25.5559311 25.8126965 26.1110935 26.381958 26.698288 26.9864941 27.2683563 27.5715446 27.824728 28.1399155 28.4360523 28.7722092 29.0966225 29.4185219 29.7435417 30.1268539 30.5204964 30.9441833 31.3137112 31.6265755 32.0542297 32.5875626 33.0477295 33.4473801 33.859375 34.3841782 34.9277344 35.542099 36.1496353 36.9152451 37.6226807 38.4204941 39.2845001 40.2446442 41.2436676 42.563427 44.2685204 45.7271042 48.0429535 51.1840172 55.7097015 62.4170532 122.221924 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 60.7 40.1 45.8 20.4 42.1 58.1 47.3 57.4 -29.2 -11.0 -30.7 4.4 14.0 2 60.7 100.0 62.7 55.4 27.0 64.9 94.0 70.1 90.8 -47.0 -20.7 -46.2 26.6 26.0 3 40.1 62.7 100.0 34.3 1.8 29.1 66.2 50.1 68.9 -15.7 -22.1 -50.3 62.0 13.9 4 45.8 55.4 34.3 100.0 8.8 31.5 56.4 46.3 61.1 -13.1 -25.3 -56.5 11.9 68.6 5 20.4 27.0 1.8 8.8 100.0 82.1 -1.4 50.3 51.4 26.4 -5.1 -5.3 -8.5 -0.9 6 42.1 64.9 29.1 31.5 82.1 100.0 42.7 75.3 78.1 -5.5 -12.7 -24.7 6.0 11.6 7 58.1 94.0 66.2 56.4 -1.4 42.7 100.0 62.4 78.5 -54.8 -19.4 -46.8 31.4 28.3 8 47.3 70.1 50.1 46.3 50.3 75.3 62.4 100.0 80.4 -10.1 -20.6 -39.9 21.9 23.1 9 57.4 90.8 68.9 61.1 51.4 78.1 78.5 80.4 100.0 -21.9 -24.1 -52.3 31.9 31.0 10 -29.2 -47.0 -15.7 -13.1 26.4 -5.5 -54.8 -10.1 -21.9 100.0 2.5 9.6 -2.8 -2.6 11 -11.0 -20.7 -22.1 -25.3 -5.1 -12.7 -19.4 -20.6 -24.1 2.5 100.0 51.8 -8.9 -15.8 12 -30.7 -46.2 -50.3 -56.5 -5.3 -24.7 -46.8 -39.9 -52.3 9.6 51.8 100.0 -23.1 -30.7 13 4.4 26.6 62.0 11.9 -8.5 6.0 31.4 21.9 31.9 -2.8 -8.9 -23.1 100.0 41.9 14 14.0 26.0 13.9 68.6 -0.9 11.6 28.3 23.1 31.0 -2.6 -15.8 -30.7 41.9 100.0 TOTAL CORRELATION TO TARGET (diagonal) 143.590535 TOTAL CORRELATION OF ALL VARIABLES 67.0207773 ROUND 1: MAX CORR ( 67.0186615) AFTER KILLING INPUT VARIABLE 6 CONTR 0.53253387 ROUND 2: MAX CORR ( 66.9620425) AFTER KILLING INPUT VARIABLE 11 CONTR 2.75424357 ROUND 3: MAX CORR ( 66.8816208) AFTER KILLING INPUT VARIABLE 8 CONTR 3.28084316 ROUND 4: MAX CORR ( 66.7091259) AFTER KILLING INPUT VARIABLE 2 CONTR 4.80038725 ROUND 5: MAX CORR ( 66.5341241) AFTER KILLING INPUT VARIABLE 12 CONTR 4.82885184 ROUND 6: MAX CORR ( 66.3217543) AFTER KILLING INPUT VARIABLE 14 CONTR 5.31173931 ROUND 7: MAX CORR ( 65.8353902) AFTER KILLING INPUT VARIABLE 10 CONTR 8.01726239 ROUND 8: MAX CORR ( 65.3570752) AFTER KILLING INPUT VARIABLE 9 CONTR 7.9215735 ROUND 9: MAX CORR ( 64.3741085) AFTER KILLING INPUT VARIABLE 3 CONTR 11.2925386 ROUND 10: MAX CORR ( 63.2506961) AFTER KILLING INPUT VARIABLE 13 CONTR 11.9739424 ROUND 11: MAX CORR ( 61.8031856) AFTER KILLING INPUT VARIABLE 4 CONTR 13.4542484 ROUND 12: MAX CORR ( 58.0654643) AFTER KILLING INPUT VARIABLE 5 CONTR 21.1668516 LAST REMAINING VARIABLE: 7 total correlation to target: 67.0207773 % total significance: 130.730991 sigma correlations of single variables to target: variable 2: 60.7114808 % , in sigma: 118.424053 variable 3: 40.112772 % , in sigma: 78.2441305 variable 4: 45.8053432 % , in sigma: 89.3480822 variable 5: 20.3513304 % , in sigma: 39.6973849 variable 6: 42.1171565 % , in sigma: 82.1538907 variable 7: 58.0654643 % , in sigma: 113.262722 variable 8: 47.293422 % , in sigma: 92.2507345 variable 9: 57.4170092 % , in sigma: 111.997843 variable 10: -29.1949842 % , in sigma: 56.9478507 variable 11: -10.9667461 % , in sigma: 21.3917779 variable 12: -30.7409997 % , in sigma: 59.9635147 variable 13: 4.41100804 % , in sigma: 8.60412959 variable 14: 13.9678502 % , in sigma: 27.2457434 variables sorted by significance: 1 most relevant variable 7 corr 58.065464 , in sigma: 113.262722 2 most relevant variable 5 corr 21.166851 , in sigma: 41.2881427 3 most relevant variable 4 corr 13.4542484 , in sigma: 26.2439098 4 most relevant variable 13 corr 11.9739428 , in sigma: 23.3564197 5 most relevant variable 3 corr 11.2925386 , in sigma: 22.0272702 6 most relevant variable 9 corr 7.92157364 , in sigma: 15.4518526 7 most relevant variable 10 corr 8.01726246 , in sigma: 15.6385036 8 most relevant variable 14 corr 5.31173944 , in sigma: 10.3610998 9 most relevant variable 12 corr 4.8288517 , in sigma: 9.41917707 10 most relevant variable 2 corr 4.80038738 , in sigma: 9.36365446 11 most relevant variable 8 corr 3.28084326 , in sigma: 6.39962573 12 most relevant variable 11 corr 2.75424361 , in sigma: 5.3724384 13 most relevant variable 6 corr 0.532533884 , in sigma: 1.03876268 global correlations between input variables: variable 2: 99.0953358 % variable 3: 92.8661565 % variable 4: 91.2574816 % variable 5: 95.2656082 % variable 6: 94.4693875 % variable 7: 98.6306311 % variable 8: 87.8219674 % variable 9: 98.8137703 % variable 10: 71.4389951 % variable 11: 53.206429 % variable 12: 74.3792359 % variable 13: 84.1247776 % variable 14: 86.5288546 % significance loss when removing single variables: variable 2: corr = 5.87415926 % , sigma = 11.4581581 variable 3: corr = 13.4783057 % , sigma = 26.290836 variable 4: corr = 16.9941657 % , sigma = 33.1488863 variable 5: corr = 11.344255 % , sigma = 22.1281483 variable 6: corr = 0.53253387 % , sigma = 1.03876266 variable 7: corr = 3.51398046 % , sigma = 6.85438407 variable 8: corr = 3.40297835 % , sigma = 6.63786292 variable 9: corr = 9.90111257 % , sigma = 19.313149 variable 10: corr = 7.24261007 % , sigma = 14.1274636 variable 11: corr = 2.76882699 % , sigma = 5.40088478 variable 12: corr = 3.17917094 % , sigma = 6.20130331 variable 13: corr = 7.31366874 % , sigma = 14.2660709 variable 14: corr = 5.38191551 % , sigma = 10.4979855 Keep only 12 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 13 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 25.5585709 sigma out 15 active outputs RANK 2 NODE 3 --> 20.4775295 sigma out 15 active outputs RANK 3 NODE 11 --> 20.2178917 sigma out 15 active outputs RANK 4 NODE 6 --> 17.1396255 sigma out 15 active outputs RANK 5 NODE 10 --> 15.8338156 sigma out 15 active outputs RANK 6 NODE 13 --> 15.408639 sigma out 15 active outputs RANK 7 NODE 4 --> 15.1541023 sigma out 15 active outputs RANK 8 NODE 8 --> 15.0149965 sigma out 15 active outputs RANK 9 NODE 1 --> 14.4222898 sigma out 15 active outputs RANK 10 NODE 7 --> 13.7765932 sigma out 15 active outputs RANK 11 NODE 2 --> 12.864315 sigma out 15 active outputs RANK 12 NODE 12 --> 11.5399904 sigma out 15 active outputs RANK 13 NODE 9 --> 11.0835743 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 27.7098789 sigma in 13act. ( 28.0298367 sig out 1act.) RANK 2 NODE 8 --> 26.0621052 sigma in 13act. ( 26.0381355 sig out 1act.) RANK 3 NODE 1 --> 23.1873989 sigma in 13act. ( 25.302803 sig out 1act.) RANK 4 NODE 4 --> 18.1050949 sigma in 13act. ( 15.3282652 sig out 1act.) RANK 5 NODE 2 --> 16.6857224 sigma in 13act. ( 15.2074289 sig out 1act.) RANK 6 NODE 6 --> 15.2818565 sigma in 13act. ( 11.9090281 sig out 1act.) RANK 7 NODE 9 --> 14.669879 sigma in 13act. ( 15.5515022 sig out 1act.) RANK 8 NODE 7 --> 12.8456373 sigma in 13act. ( 13.8590841 sig out 1act.) RANK 9 NODE 13 --> 12.2572994 sigma in 13act. ( 11.5204792 sig out 1act.) RANK 10 NODE 14 --> 11.6498938 sigma in 13act. ( 15.1545658 sig out 1act.) RANK 11 NODE 12 --> 5.08614826 sigma in 13act. ( 7.32445335 sig out 1act.) RANK 12 NODE 5 --> 3.34129596 sigma in 13act. ( 0.47819826 sig out 1act.) RANK 13 NODE 11 --> 2.33052707 sigma in 13act. ( 3.68079638 sig out 1act.) RANK 14 NODE 10 --> 1.70787621 sigma in 13act. ( 1.86325955 sig out 1act.) RANK 15 NODE 15 --> 1.26869953 sigma in 13act. ( 1.70719659 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 28.0298367 sigma out 1act.( 27.7098789 sig in 13act.) RANK 2 NODE 8 --> 26.0381355 sigma out 1act.( 26.0621052 sig in 13act.) RANK 3 NODE 1 --> 25.302803 sigma out 1act.( 23.1873989 sig in 13act.) RANK 4 NODE 9 --> 15.5515022 sigma out 1act.( 14.669879 sig in 13act.) RANK 5 NODE 4 --> 15.3282652 sigma out 1act.( 18.1050949 sig in 13act.) RANK 6 NODE 2 --> 15.2074289 sigma out 1act.( 16.6857224 sig in 13act.) RANK 7 NODE 14 --> 15.1545658 sigma out 1act.( 11.6498938 sig in 13act.) RANK 8 NODE 7 --> 13.8590841 sigma out 1act.( 12.8456373 sig in 13act.) RANK 9 NODE 6 --> 11.9090281 sigma out 1act.( 15.2818565 sig in 13act.) RANK 10 NODE 13 --> 11.5204792 sigma out 1act.( 12.2572994 sig in 13act.) RANK 11 NODE 12 --> 7.32445335 sigma out 1act.( 5.08614826 sig in 13act.) RANK 12 NODE 11 --> 3.68079638 sigma out 1act.( 2.33052707 sig in 13act.) RANK 13 NODE 10 --> 1.86325955 sigma out 1act.( 1.70787621 sig in 13act.) RANK 14 NODE 15 --> 1.70719659 sigma out 1act.( 1.26869953 sig in 13act.) RANK 15 NODE 5 --> 0.47819826 sigma out 1act.( 3.34129596 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 59.8502388 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 26.0778618 sigma out 15 active outputs RANK 2 NODE 5 --> 22.5500851 sigma out 15 active outputs RANK 3 NODE 3 --> 20.2823658 sigma out 15 active outputs RANK 4 NODE 6 --> 16.5971947 sigma out 15 active outputs RANK 5 NODE 10 --> 16.137804 sigma out 15 active outputs RANK 6 NODE 13 --> 15.2556629 sigma out 15 active outputs RANK 7 NODE 1 --> 14.7229891 sigma out 15 active outputs RANK 8 NODE 7 --> 14.4876785 sigma out 15 active outputs RANK 9 NODE 8 --> 14.0863609 sigma out 15 active outputs RANK 10 NODE 2 --> 13.9358368 sigma out 15 active outputs RANK 11 NODE 4 --> 13.8211079 sigma out 15 active outputs RANK 12 NODE 9 --> 11.5721722 sigma out 15 active outputs RANK 13 NODE 12 --> 10.9125576 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 25.5722713 sigma in 13act. ( 24.1845284 sig out 1act.) RANK 2 NODE 8 --> 24.4673576 sigma in 13act. ( 24.0104008 sig out 1act.) RANK 3 NODE 3 --> 24.062851 sigma in 13act. ( 24.357439 sig out 1act.) RANK 4 NODE 9 --> 15.639204 sigma in 13act. ( 14.7647972 sig out 1act.) RANK 5 NODE 14 --> 15.1773262 sigma in 13act. ( 14.8080063 sig out 1act.) RANK 6 NODE 7 --> 13.8497181 sigma in 13act. ( 13.2893991 sig out 1act.) RANK 7 NODE 2 --> 12.9769468 sigma in 13act. ( 12.7113123 sig out 1act.) RANK 8 NODE 12 --> 12.3598471 sigma in 13act. ( 7.51664543 sig out 1act.) RANK 9 NODE 4 --> 12.1629829 sigma in 13act. ( 12.2207804 sig out 1act.) RANK 10 NODE 13 --> 11.8741522 sigma in 13act. ( 10.2749033 sig out 1act.) RANK 11 NODE 11 --> 11.5204506 sigma in 13act. ( 5.0090518 sig out 1act.) RANK 12 NODE 6 --> 11.5191402 sigma in 13act. ( 9.89995766 sig out 1act.) RANK 13 NODE 15 --> 10.996521 sigma in 13act. ( 4.67950153 sig out 1act.) RANK 14 NODE 10 --> 10.258193 sigma in 13act. ( 3.4937644 sig out 1act.) RANK 15 NODE 5 --> 5.64365387 sigma in 13act. ( 0.082962811 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 24.357439 sigma out 1act.( 24.062851 sig in 13act.) RANK 2 NODE 1 --> 24.1845284 sigma out 1act.( 25.5722713 sig in 13act.) RANK 3 NODE 8 --> 24.0104008 sigma out 1act.( 24.4673576 sig in 13act.) RANK 4 NODE 14 --> 14.8080063 sigma out 1act.( 15.1773262 sig in 13act.) RANK 5 NODE 9 --> 14.7647972 sigma out 1act.( 15.639204 sig in 13act.) RANK 6 NODE 7 --> 13.2893991 sigma out 1act.( 13.8497181 sig in 13act.) RANK 7 NODE 2 --> 12.7113123 sigma out 1act.( 12.9769468 sig in 13act.) RANK 8 NODE 4 --> 12.2207804 sigma out 1act.( 12.1629829 sig in 13act.) RANK 9 NODE 13 --> 10.2749033 sigma out 1act.( 11.8741522 sig in 13act.) RANK 10 NODE 6 --> 9.89995766 sigma out 1act.( 11.5191402 sig in 13act.) RANK 11 NODE 12 --> 7.51664543 sigma out 1act.( 12.3598471 sig in 13act.) RANK 12 NODE 11 --> 5.0090518 sigma out 1act.( 11.5204506 sig in 13act.) RANK 13 NODE 15 --> 4.67950153 sigma out 1act.( 10.996521 sig in 13act.) RANK 14 NODE 10 --> 3.4937644 sigma out 1act.( 10.258193 sig in 13act.) RANK 15 NODE 5 --> 0.082962811 sigma out 1act.( 5.64365387 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 54.7610207 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.400383383 *** contribution from regularisation: 0.00507650618 *** contribution from error: -0.405459881 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.452604055 *** contribution from regularisation: 0.00283980765 *** contribution from error: -0.455443859 *********************************************** -----------------> Test sample ENTER BFGS code START -42285.2762 0.344229192 0.0559913442 EXIT FROM BFGS code FG_START 0. 0.344229192 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.474848628 *** contribution from regularisation: 0.00262920232 *** contribution from error: -0.477477819 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -44353.7119 0.344229192 164.610092 EXIT FROM BFGS code FG_LNSRCH 0. 0.365393639 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.525330305 *** contribution from regularisation: 0.00329827052 *** contribution from error: -0.528628588 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49069.0043 0.365393639 88.7578583 EXIT FROM BFGS code NEW_X -49069.0043 0.365393639 88.7578583 ENTER BFGS code NEW_X -49069.0043 0.365393639 88.7578583 EXIT FROM BFGS code FG_LNSRCH 0. 0.379355758 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.529307902 *** contribution from regularisation: 0.0034265134 *** contribution from error: -0.532734394 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49440.5342 0.379355758 49.519062 EXIT FROM BFGS code NEW_X -49440.5342 0.379355758 49.519062 ENTER BFGS code NEW_X -49440.5342 0.379355758 49.519062 EXIT FROM BFGS code FG_LNSRCH 0. 0.397900492 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.532206357 *** contribution from regularisation: 0.00333795417 *** contribution from error: -0.535544336 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49711.2668 0.397900492 9.04579544 EXIT FROM BFGS code NEW_X -49711.2668 0.397900492 9.04579544 ENTER BFGS code NEW_X -49711.2668 0.397900492 9.04579544 EXIT FROM BFGS code FG_LNSRCH 0. 0.40678218 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.533172071 *** contribution from regularisation: 0.00320873968 *** contribution from error: -0.536380827 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49801.4725 0.40678218 -24.0888367 EXIT FROM BFGS code NEW_X -49801.4725 0.40678218 -24.0888367 ENTER BFGS code NEW_X -49801.4725 0.40678218 -24.0888367 EXIT FROM BFGS code FG_LNSRCH 0. 0.398149133 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.53344959 *** contribution from regularisation: 0.00324019021 *** contribution from error: -0.536689758 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49827.393 0.398149133 -17.531826 EXIT FROM BFGS code NEW_X -49827.393 0.398149133 -17.531826 ENTER BFGS code NEW_X -49827.393 0.398149133 -17.531826 EXIT FROM BFGS code FG_LNSRCH 0. 0.339134306 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.535069644 *** contribution from regularisation: 0.00290521327 *** contribution from error: -0.537974834 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49978.7165 0.339134306 -1.02791452 EXIT FROM BFGS code NEW_X -49978.7165 0.339134306 -1.02791452 ENTER BFGS code NEW_X -49978.7165 0.339134306 -1.02791452 EXIT FROM BFGS code FG_LNSRCH 0. 0.281438679 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 41.5176125 sigma out 15 active outputs RANK 2 NODE 2 --> 21.9868164 sigma out 15 active outputs RANK 3 NODE 1 --> 21.4803257 sigma out 15 active outputs RANK 4 NODE 5 --> 15.8622284 sigma out 15 active outputs RANK 5 NODE 3 --> 13.8994608 sigma out 15 active outputs RANK 6 NODE 9 --> 13.6032257 sigma out 15 active outputs RANK 7 NODE 7 --> 12.6232328 sigma out 15 active outputs RANK 8 NODE 13 --> 9.96435642 sigma out 15 active outputs RANK 9 NODE 10 --> 9.50006485 sigma out 15 active outputs RANK 10 NODE 6 --> 9.21797562 sigma out 15 active outputs RANK 11 NODE 8 --> 8.20394611 sigma out 15 active outputs RANK 12 NODE 12 --> 5.88469744 sigma out 15 active outputs RANK 13 NODE 4 --> 5.02900362 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 32.8851852 sigma in 13act. ( 30.3063507 sig out 1act.) RANK 2 NODE 11 --> 27.518198 sigma in 13act. ( 26.7023182 sig out 1act.) RANK 3 NODE 15 --> 26.4911594 sigma in 13act. ( 31.0553436 sig out 1act.) RANK 4 NODE 10 --> 21.4941597 sigma in 13act. ( 16.246788 sig out 1act.) RANK 5 NODE 14 --> 17.2368584 sigma in 13act. ( 15.7431335 sig out 1act.) RANK 6 NODE 12 --> 11.8586693 sigma in 13act. ( 10.1979065 sig out 1act.) RANK 7 NODE 7 --> 11.0433989 sigma in 13act. ( 10.8114758 sig out 1act.) RANK 8 NODE 8 --> 9.78017426 sigma in 13act. ( 8.56028461 sig out 1act.) RANK 9 NODE 5 --> 7.19736624 sigma in 13act. ( 6.49804449 sig out 1act.) RANK 10 NODE 2 --> 6.25608063 sigma in 13act. ( 6.16746616 sig out 1act.) RANK 11 NODE 13 --> 5.86093616 sigma in 13act. ( 4.18752861 sig out 1act.) RANK 12 NODE 4 --> 5.25542879 sigma in 13act. ( 4.59453821 sig out 1act.) RANK 13 NODE 3 --> 4.32541513 sigma in 13act. ( 0.4792189 sig out 1act.) RANK 14 NODE 9 --> 4.28848124 sigma in 13act. ( 1.2341789 sig out 1act.) RANK 15 NODE 6 --> 3.41291666 sigma in 13act. ( 1.33103716 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 31.0553436 sigma out 1act.( 26.4911594 sig in 13act.) RANK 2 NODE 1 --> 30.3063507 sigma out 1act.( 32.8851852 sig in 13act.) RANK 3 NODE 11 --> 26.7023182 sigma out 1act.( 27.518198 sig in 13act.) RANK 4 NODE 10 --> 16.246788 sigma out 1act.( 21.4941597 sig in 13act.) RANK 5 NODE 14 --> 15.7431335 sigma out 1act.( 17.2368584 sig in 13act.) RANK 6 NODE 7 --> 10.8114758 sigma out 1act.( 11.0433989 sig in 13act.) RANK 7 NODE 12 --> 10.1979065 sigma out 1act.( 11.8586693 sig in 13act.) RANK 8 NODE 8 --> 8.56028461 sigma out 1act.( 9.78017426 sig in 13act.) RANK 9 NODE 5 --> 6.49804449 sigma out 1act.( 7.19736624 sig in 13act.) RANK 10 NODE 2 --> 6.16746616 sigma out 1act.( 6.25608063 sig in 13act.) RANK 11 NODE 4 --> 4.59453821 sigma out 1act.( 5.25542879 sig in 13act.) RANK 12 NODE 13 --> 4.18752861 sigma out 1act.( 5.86093616 sig in 13act.) RANK 13 NODE 6 --> 1.33103716 sigma out 1act.( 3.41291666 sig in 13act.) RANK 14 NODE 9 --> 1.2341789 sigma out 1act.( 4.28848124 sig in 13act.) RANK 15 NODE 3 --> 0.4792189 sigma out 1act.( 4.32541513 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 59.3660126 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.535997748 *** contribution from regularisation: 0.00312745874 *** contribution from error: -0.539125204 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50065.4066 0.281438679 13.764245 EXIT FROM BFGS code NEW_X -50065.4066 0.281438679 13.764245 ENTER BFGS code NEW_X -50065.4066 0.281438679 13.764245 EXIT FROM BFGS code FG_LNSRCH 0. 0.223560199 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.536694348 *** contribution from regularisation: 0.00334530324 *** contribution from error: -0.540039659 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50130.4743 0.223560199 9.36613464 EXIT FROM BFGS code NEW_X -50130.4743 0.223560199 9.36613464 ENTER BFGS code NEW_X -50130.4743 0.223560199 9.36613464 EXIT FROM BFGS code FG_LNSRCH 0. 0.25385496 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.537062705 *** contribution from regularisation: 0.00313539151 *** contribution from error: -0.540198088 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50164.8795 0.25385496 -14.4233236 EXIT FROM BFGS code NEW_X -50164.8795 0.25385496 -14.4233236 ENTER BFGS code NEW_X -50164.8795 0.25385496 -14.4233236 EXIT FROM BFGS code FG_LNSRCH 0. 0.248922154 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.537210107 *** contribution from regularisation: 0.00319932238 *** contribution from error: -0.540409446 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50178.6473 0.248922154 1.79610109 EXIT FROM BFGS code NEW_X -50178.6473 0.248922154 1.79610109 ENTER BFGS code NEW_X -50178.6473 0.248922154 1.79610109 EXIT FROM BFGS code FG_LNSRCH 0. 0.240609795 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.537430286 *** contribution from regularisation: 0.0031952227 *** contribution from error: -0.540625513 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50199.2159 0.240609795 2.80067372 EXIT FROM BFGS code NEW_X -50199.2159 0.240609795 2.80067372 ENTER BFGS code NEW_X -50199.2159 0.240609795 2.80067372 EXIT FROM BFGS code FG_LNSRCH 0. 0.219694912 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.53798151 *** contribution from regularisation: 0.00318741146 *** contribution from error: -0.541168928 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50250.6986 0.219694912 14.3787279 EXIT FROM BFGS code NEW_X -50250.6986 0.219694912 14.3787279 ENTER BFGS code NEW_X -50250.6986 0.219694912 14.3787279 EXIT FROM BFGS code FG_LNSRCH 0. 0.202070802 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.538447618 *** contribution from regularisation: 0.00331222895 *** contribution from error: -0.541759849 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50294.2376 0.202070802 4.42119408 EXIT FROM BFGS code NEW_X -50294.2376 0.202070802 4.42119408 ENTER BFGS code NEW_X -50294.2376 0.202070802 4.42119408 EXIT FROM BFGS code FG_LNSRCH 0. 0.160410732 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.537928045 *** contribution from regularisation: 0.00360692642 *** contribution from error: -0.54153496 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50245.7082 0.160410732 74.7746353 EXIT FROM BFGS code FG_LNSRCH 0. 0.187195167 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.538982928 *** contribution from regularisation: 0.00319362408 *** contribution from error: -0.542176545 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50344.2403 0.187195167 25.1214657 EXIT FROM BFGS code NEW_X -50344.2403 0.187195167 25.1214657 ENTER BFGS code NEW_X -50344.2403 0.187195167 25.1214657 EXIT FROM BFGS code FG_LNSRCH 0. 0.179145887 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.539224386 *** contribution from regularisation: 0.00343673793 *** contribution from error: -0.54266113 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50366.7957 0.179145887 -6.03654957 EXIT FROM BFGS code NEW_X -50366.7957 0.179145887 -6.03654957 ENTER BFGS code NEW_X -50366.7957 0.179145887 -6.03654957 EXIT FROM BFGS code FG_LNSRCH 0. 0.182805717 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 58.8166389 sigma out 15 active outputs RANK 2 NODE 3 --> 30.916853 sigma out 15 active outputs RANK 3 NODE 2 --> 28.9850883 sigma out 15 active outputs RANK 4 NODE 1 --> 26.8136806 sigma out 15 active outputs RANK 5 NODE 9 --> 20.770525 sigma out 15 active outputs RANK 6 NODE 5 --> 17.3019238 sigma out 15 active outputs RANK 7 NODE 8 --> 16.3387775 sigma out 15 active outputs RANK 8 NODE 7 --> 12.7432756 sigma out 15 active outputs RANK 9 NODE 13 --> 11.6425762 sigma out 15 active outputs RANK 10 NODE 6 --> 9.50862408 sigma out 15 active outputs RANK 11 NODE 10 --> 9.17925644 sigma out 15 active outputs RANK 12 NODE 12 --> 8.50252533 sigma out 15 active outputs RANK 13 NODE 4 --> 5.86552095 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 56.861084 sigma in 13act. ( 52.9819298 sig out 1act.) RANK 2 NODE 15 --> 46.0327606 sigma in 13act. ( 55.2484207 sig out 1act.) RANK 3 NODE 11 --> 28.534874 sigma in 13act. ( 29.821764 sig out 1act.) RANK 4 NODE 14 --> 17.9757137 sigma in 13act. ( 16.4463673 sig out 1act.) RANK 5 NODE 10 --> 17.7197456 sigma in 13act. ( 15.2473917 sig out 1act.) RANK 6 NODE 7 --> 16.2409744 sigma in 13act. ( 18.3307209 sig out 1act.) RANK 7 NODE 5 --> 11.7513075 sigma in 13act. ( 12.7254 sig out 1act.) RANK 8 NODE 12 --> 10.0985594 sigma in 13act. ( 10.2187853 sig out 1act.) RANK 9 NODE 4 --> 7.9429574 sigma in 13act. ( 8.71451855 sig out 1act.) RANK 10 NODE 2 --> 7.86600018 sigma in 13act. ( 8.90144253 sig out 1act.) RANK 11 NODE 13 --> 7.14419556 sigma in 13act. ( 6.93749619 sig out 1act.) RANK 12 NODE 3 --> 5.78638744 sigma in 13act. ( 5.71439934 sig out 1act.) RANK 13 NODE 8 --> 5.30303431 sigma in 13act. ( 3.37385774 sig out 1act.) RANK 14 NODE 9 --> 2.15652728 sigma in 13act. ( 0.228903711 sig out 1act.) RANK 15 NODE 6 --> 1.3191731 sigma in 13act. ( 0.1059848 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 55.2484207 sigma out 1act.( 46.0327606 sig in 13act.) RANK 2 NODE 1 --> 52.9819298 sigma out 1act.( 56.861084 sig in 13act.) RANK 3 NODE 11 --> 29.821764 sigma out 1act.( 28.534874 sig in 13act.) RANK 4 NODE 7 --> 18.3307209 sigma out 1act.( 16.2409744 sig in 13act.) RANK 5 NODE 14 --> 16.4463673 sigma out 1act.( 17.9757137 sig in 13act.) RANK 6 NODE 10 --> 15.2473917 sigma out 1act.( 17.7197456 sig in 13act.) RANK 7 NODE 5 --> 12.7254 sigma out 1act.( 11.7513075 sig in 13act.) RANK 8 NODE 12 --> 10.2187853 sigma out 1act.( 10.0985594 sig in 13act.) RANK 9 NODE 2 --> 8.90144253 sigma out 1act.( 7.86600018 sig in 13act.) RANK 10 NODE 4 --> 8.71451855 sigma out 1act.( 7.9429574 sig in 13act.) RANK 11 NODE 13 --> 6.93749619 sigma out 1act.( 7.14419556 sig in 13act.) RANK 12 NODE 3 --> 5.71439934 sigma out 1act.( 5.78638744 sig in 13act.) RANK 13 NODE 8 --> 3.37385774 sigma out 1act.( 5.30303431 sig in 13act.) RANK 14 NODE 9 --> 0.228903711 sigma out 1act.( 2.15652728 sig in 13act.) RANK 15 NODE 6 --> 0.1059848 sigma out 1act.( 1.3191731 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 90.0086594 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.539338231 *** contribution from regularisation: 0.00332890521 *** contribution from error: -0.54266715 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -50377.4256 0.182805717 -0.0467463098 EXIT FROM BFGS code NEW_X -50377.4256 0.182805717 -0.0467463098 ENTER BFGS code NEW_X -50377.4256 0.182805717 -0.0467463098 EXIT FROM BFGS code FG_LNSRCH 0. 0.184082359 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.539376616 *** contribution from regularisation: 0.00332946726 *** contribution from error: -0.542706072 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50381.0138 0.184082359 3.99212551 EXIT FROM BFGS code NEW_X -50381.0138 0.184082359 3.99212551 ENTER BFGS code NEW_X -50381.0138 0.184082359 3.99212551 EXIT FROM BFGS code FG_LNSRCH 0. 0.187452406 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.539654851 *** contribution from regularisation: 0.00309716794 *** contribution from error: -0.542752028 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50407.001 0.187452406 -3.21464849 EXIT FROM BFGS code NEW_X -50407.001 0.187452406 -3.21464849 ENTER BFGS code NEW_X -50407.001 0.187452406 -3.21464849 EXIT FROM BFGS code FG_LNSRCH 0. 0.176244989 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.539540231 *** contribution from regularisation: 0.0031113443 *** contribution from error: -0.542651594 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50396.2946 0.176244989 40.6275787 EXIT FROM BFGS code FG_LNSRCH 0. 0.184854716 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.538929403 *** contribution from regularisation: 0.00384448539 *** contribution from error: -0.542773902 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50339.2383 0.184854716 5.35583687 EXIT FROM BFGS code FG_LNSRCH 0. 0.187386155 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.539278567 *** contribution from regularisation: 0.003474358 *** contribution from error: -0.542752922 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50371.8544 0.187386155 -2.89464307 EXIT FROM BFGS code FG_LNSRCH 0. 0.187452316 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.539341331 *** contribution from regularisation: 0.00341067207 *** contribution from error: -0.542752028 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50377.7178 0.187452316 -3.07414579 EXIT FROM BFGS code FG_LNSRCH 0. 0.187452406 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.539349735 *** contribution from regularisation: 0.00340226013 *** contribution from error: -0.542751968 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50378.5035 0.187452406 -3.06611514 EXIT FROM BFGS code FG_LNSRCH 0. 0.187452406 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.539343297 *** contribution from regularisation: 0.00340872747 *** contribution from error: -0.542752028 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50377.8994 0.187452406 -3.05153275 EXIT FROM BFGS code FG_LNSRCH 0. 0.187452406 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.53935349 *** contribution from regularisation: 0.00339851552 *** contribution from error: -0.542752028 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -50378.8533 0.187452406 -3.04360127 EXIT FROM BFGS code NEW_X -50378.8533 0.187452406 -3.04360127 ENTER BFGS code NEW_X -50378.8533 0.187452406 -3.04360127 EXIT FROM BFGS code CONVERGENC -50378.8533 0.187452406 -3.04360127 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 11 --> 91.4785156 sigma out 15 active outputs RANK 2 NODE 3 --> 47.3327141 sigma out 15 active outputs RANK 3 NODE 1 --> 43.5478592 sigma out 15 active outputs RANK 4 NODE 2 --> 41.682476 sigma out 15 active outputs RANK 5 NODE 9 --> 28.5408268 sigma out 15 active outputs RANK 6 NODE 5 --> 28.0035458 sigma out 15 active outputs RANK 7 NODE 8 --> 22.512785 sigma out 15 active outputs RANK 8 NODE 7 --> 18.7661591 sigma out 15 active outputs RANK 9 NODE 10 --> 14.779108 sigma out 15 active outputs RANK 10 NODE 13 --> 14.5221891 sigma out 15 active outputs RANK 11 NODE 12 --> 14.1075773 sigma out 15 active outputs RANK 12 NODE 6 --> 12.3562698 sigma out 15 active outputs RANK 13 NODE 4 --> 7.83050585 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 86.4744186 sigma in 13act. ( 82.1813889 sig out 1act.) RANK 2 NODE 15 --> 72.21064 sigma in 13act. ( 89.8046188 sig out 1act.) RANK 3 NODE 11 --> 42.1049614 sigma in 13act. ( 45.3268089 sig out 1act.) RANK 4 NODE 10 --> 26.5474834 sigma in 13act. ( 24.6773376 sig out 1act.) RANK 5 NODE 14 --> 26.1273937 sigma in 13act. ( 25.1192646 sig out 1act.) RANK 6 NODE 7 --> 24.5580177 sigma in 13act. ( 28.0040741 sig out 1act.) RANK 7 NODE 5 --> 17.9723492 sigma in 13act. ( 19.7496338 sig out 1act.) RANK 8 NODE 12 --> 14.4045477 sigma in 13act. ( 15.1275282 sig out 1act.) RANK 9 NODE 4 --> 12.8117809 sigma in 13act. ( 14.4681129 sig out 1act.) RANK 10 NODE 2 --> 12.1854115 sigma in 13act. ( 14.0755844 sig out 1act.) RANK 11 NODE 13 --> 11.6599531 sigma in 13act. ( 12.115406 sig out 1act.) RANK 12 NODE 3 --> 7.8904562 sigma in 13act. ( 8.5097847 sig out 1act.) RANK 13 NODE 8 --> 6.34482098 sigma in 13act. ( 5.24418497 sig out 1act.) RANK 14 NODE 9 --> 1.95873463 sigma in 13act. ( 0.0821979791 sig out 1act.) RANK 15 NODE 6 --> 1.29996073 sigma in 13act. ( 0.467133164 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 89.8046188 sigma out 1act.( 72.21064 sig in 13act.) RANK 2 NODE 1 --> 82.1813889 sigma out 1act.( 86.4744186 sig in 13act.) RANK 3 NODE 11 --> 45.3268089 sigma out 1act.( 42.1049614 sig in 13act.) RANK 4 NODE 7 --> 28.0040741 sigma out 1act.( 24.5580177 sig in 13act.) RANK 5 NODE 14 --> 25.1192646 sigma out 1act.( 26.1273937 sig in 13act.) RANK 6 NODE 10 --> 24.6773376 sigma out 1act.( 26.5474834 sig in 13act.) RANK 7 NODE 5 --> 19.7496338 sigma out 1act.( 17.9723492 sig in 13act.) RANK 8 NODE 12 --> 15.1275282 sigma out 1act.( 14.4045477 sig in 13act.) RANK 9 NODE 4 --> 14.4681129 sigma out 1act.( 12.8117809 sig in 13act.) RANK 10 NODE 2 --> 14.0755844 sigma out 1act.( 12.1854115 sig in 13act.) RANK 11 NODE 13 --> 12.115406 sigma out 1act.( 11.6599531 sig in 13act.) RANK 12 NODE 3 --> 8.5097847 sigma out 1act.( 7.8904562 sig in 13act.) RANK 13 NODE 8 --> 5.24418497 sigma out 1act.( 6.34482098 sig in 13act.) RANK 14 NODE 6 --> 0.467133164 sigma out 1act.( 1.29996073 sig in 13act.) RANK 15 NODE 9 --> 0.0821979791 sigma out 1act.( 1.95873463 sig in 13act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 142.023285 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.539346755 *** contribution from regularisation: 0.00340527971 *** contribution from error: -0.542752028 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28767 Closing output file done