NNInput NNInputs_115.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= 16721 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 = 3890 nbkg = 12831 Bkg Entries: 12831 Sig Entries: 3890 Chosen entries: 3890 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.303172 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 12831 Actual Signal Entries: 3890 Entries to split: 3890 Test with : 1945 Train with : 1945 ********************************************* * 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= 3890 for Signal Prepared event 0 for Signal with 3890 events ====Entry 0 Variable Ht : 217.831 Variable LepAPt : 43.5431 Variable LepBPt : 24.6806 Variable MetSigLeptonsJets : 5.47157 Variable MetSpec : 67.1621 Variable SumEtLeptonsJets : 150.669 Variable VSumJetLeptonsPt : 57.4927 Variable addEt : 135.386 Variable dPhiLepSumMet : 1.75265 Variable dPhiLeptons : 0.287892 Variable dRLeptons : 0.485442 Variable lep1_E : 69.7889 Variable lep2_E : 30.2245 ===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 = 2115 Ht = 217.831 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 43.5431 LepAPt = 43.5431 LepBEt = 24.6806 LepBPt = 24.6806 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 67.1621 MetDelPhi = 1.64876 MetSig = 4.2278 MetSigLeptonsJets = 5.47157 MetSpec = 67.1621 Mjj = 0 MostCentralJetEta = -0.444937 MtllMet = 150.883 Njets = 1 SB = 0 SumEt = 252.359 SumEtJets = 0 SumEtLeptonsJets = 150.669 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 57.4927 addEt = 135.386 dPhiLepSumMet = 1.75265 dPhiLeptons = 0.287892 dRLeptons = 0.485441 diltype = 54 dimass = 15.9614 event = 959 jet1_Et = 82.4455 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 69.7889 lep2_E = 30.2245 rand = 0.999742 run = 236753 weight = 6.93974e-07 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 12831 for Background Prepared event 0 for Background with 12831 events ====Entry 0 Variable Ht : 61.1273 Variable LepAPt : 22.7899 Variable LepBPt : 11.7315 Variable MetSigLeptonsJets : 4.52817 Variable MetSpec : 26.6052 Variable SumEtLeptonsJets : 34.5213 Variable VSumJetLeptonsPt : 31.9684 Variable addEt : 61.1273 Variable dPhiLepSumMet : 2.92616 Variable dPhiLeptons : 0.819534 Variable dRLeptons : 0.934366 Variable lep1_E : 23.1166 Variable lep2_E : 12.194 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 61.1273 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 22.7899 LepAPt = 22.7899 LepBEt = 11.7322 LepBPt = 11.7315 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 26.6052 MetDelPhi = 2.37814 MetSig = 2.46258 MetSigLeptonsJets = 4.52817 MetSpec = 26.6052 Mjj = 0 MostCentralJetEta = 0 MtllMet = 61.9133 Njets = 0 SB = 0 SumEt = 116.722 SumEtJets = 0 SumEtLeptonsJets = 34.5213 Target = 0 TrainWeight = 2.16226 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.9684 addEt = 61.1273 dPhiLepSumMet = 2.92616 dPhiLeptons = 0.819534 dRLeptons = 0.934366 diltype = 54 dimass = 14.9851 event = 1421455 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 23.1166 lep2_E = 12.194 rand = 0.999742 run = 271216 weight = 0.0400324 ===Show End Prepared event 10000 for Background with 12831 events Warning: found 392 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 16721 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 392 negative weights. Signal fraction: 70.7842789 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.8076553 62.7101555 64.5725708 68.2415237 69.5355148 70.4937668 71.3556671 71.9363098 73.0364227 74.3141251 75.3775558 76.0504456 76.8108673 77.0271454 78.3819427 79.3627701 80.7145996 80.9676208 81.2527161 82.1883392 83.1961441 83.3105392 83.4115753 83.9250946 84.7478409 85.3267975 85.9045868 86.1955643 86.8254547 87.5484085 88.3625793 88.8307953 89.822998 90.5177841 91.5148621 92.2580032 92.8396606 93.2775879 93.5648422 94.2684021 95.2118225 95.5658493 96.5541382 97.400032 98.3870697 98.6880341 99.0521698 99.7253876 100.297089 100.832123 101.629349 102.207352 103.058815 103.923225 104.305656 105.105431 105.846519 106.717369 107.071465 107.942947 108.634407 109.553375 110.705147 111.616608 112.689499 113.929466 114.568451 115.967484 117.170845 118.813339 120.365128 121.725937 123.309731 125.277618 126.954987 128.014542 129.95166 132.143982 133.380203 135.067474 137.032776 139.03183 140.538422 142.696289 145.676544 148.425232 150.329727 153.34848 156.072266 158.917389 162.230804 167.774246 172.313934 177.349915 183.464905 193.322433 201.675385 213.095245 229.93663 259.888275 721.318665 ------------------------------ Transdef: Tab for variable 3 20.0002613 20.4608326 20.8413792 21.1170979 21.2633038 21.5014935 21.650034 21.8871918 22.0460243 22.2084427 22.4813099 22.6033974 22.7882042 22.8161659 22.8520298 23.0992699 23.2933979 23.6039066 23.6813602 23.9320107 24.3235626 24.5343628 24.7292519 24.8791561 25.1302013 25.2538261 25.3228703 25.5658493 25.7670708 26.0671272 26.1960258 26.3321304 26.625412 26.8977585 27.0888424 27.1349373 27.2230568 27.4152222 27.7539291 28.0096798 28.2013168 28.3538742 28.618412 28.7244568 29.0102615 29.3110981 29.5977364 29.665081 29.7477341 29.9146004 30.0298843 30.3680325 30.4991589 30.7848053 31.0293179 31.32061 31.5762138 31.6727409 31.8271675 32.1037292 32.2145309 32.3416977 32.6835976 32.7589035 32.9185104 33.1134109 33.2538605 33.4984131 33.6557007 33.7847061 33.9868584 34.144146 34.365715 34.6924362 35.0033798 35.2193871 35.4314423 35.8016281 35.9578934 36.3139687 36.6191559 36.80159 37.0947685 37.6366653 38.0992355 38.6296387 39.1111031 39.8840332 40.2597504 40.8043823 41.4600372 42.4990616 43.2173996 44.1140213 45.0653915 46.4994583 48.407177 50.7983246 54.5440826 59.7067566 92.9950943 ------------------------------ Transdef: Tab for variable 4 10.0031462 10.09058 10.1417389 10.1985817 10.3284922 10.3908377 10.4441223 10.4832439 10.5337563 10.6019917 10.6626072 10.740324 10.7953577 10.8945293 10.9217815 10.9825983 11.1208372 11.2256565 11.264287 11.4335365 11.5305004 11.5944586 11.730711 11.7893543 11.8849316 11.9933186 12.0318499 12.1351223 12.2064152 12.2950687 12.4282646 12.5656013 12.6569529 12.7744017 12.8400993 12.9843636 13.098341 13.2701283 13.4340458 13.5816984 13.650816 13.7039719 13.7753115 13.8249836 13.9320211 14.1081409 14.2263031 14.3715858 14.526413 14.6518593 14.7820854 14.9313431 15.1307297 15.2166176 15.3407593 15.540081 15.6767693 15.7619104 15.8447132 15.9628735 16.1101837 16.2814674 16.3537197 16.5782013 16.7352142 16.9194069 17.0266647 17.2209625 17.5419884 17.7014465 17.9207001 18.0481796 18.2994499 18.4399605 18.7077599 19.0098629 19.2190456 19.5133743 19.8578472 20.101963 20.2374916 20.4777641 20.6707325 20.8671951 21.040451 21.378891 21.6232719 21.7476215 22.0189629 22.2940369 22.5489044 22.7643661 23.2300453 23.6137085 24.0932217 24.8816395 25.3503189 26.1134472 27.3625755 29.2395401 38.2633057 ------------------------------ Transdef: Tab for variable 5 1.96431291 2.85443544 3.23793316 3.47256088 3.66144085 3.77911544 3.86411572 3.98578143 4.12218142 4.21742821 4.28347778 4.3814621 4.48489618 4.52769852 4.5771656 4.67280102 4.77001429 4.87127542 4.92916393 4.98746729 5.01869059 5.10894203 5.16347885 5.20832348 5.2648077 5.29857731 5.32998371 5.35687733 5.38585758 5.45030403 5.49959469 5.52420521 5.53818035 5.57127953 5.62395954 5.69257164 5.74643993 5.77627659 5.85416985 5.9093895 5.95815372 6.02091026 6.09104013 6.15292835 6.19989109 6.24576521 6.28603697 6.34834099 6.40747547 6.46813488 6.52725697 6.58326912 6.62737083 6.64183998 6.67806149 6.72056293 6.75505686 6.77714682 6.81719828 6.82815504 6.87176371 6.87707424 6.89623356 6.92152596 6.97361469 6.98973656 7.03848076 7.05602407 7.07901478 7.12097073 7.16140413 7.17115784 7.2222805 7.2546196 7.30424976 7.35083723 7.37854147 7.40622568 7.47330761 7.53292561 7.55978632 7.58148813 7.65939617 7.72432804 7.79345465 7.85053062 7.95114422 7.99783421 8.08607864 8.14141369 8.21086407 8.2785778 8.39492226 8.48410606 8.6492424 8.77611542 8.95078659 9.15513325 9.46281433 10.0167875 15.7755356 ------------------------------ Transdef: Tab for variable 6 25.0010986 25.9975719 26.6434708 27.3799305 28.5234394 29.0673218 29.9244385 30.7024212 30.9582748 31.2464447 31.5745773 32.1279678 32.279438 32.8006821 33.2075195 33.8804016 34.3846397 34.7355118 34.7902298 35.3445663 35.7001991 36.3524895 36.9154205 37.2583542 37.9294128 38.3641243 38.5863419 38.8126907 39.1324158 39.5460625 40.0356293 40.4249344 40.6411057 40.8721085 41.4479599 41.9868469 42.2414474 42.5713348 42.7629547 42.8842392 43.0152359 43.1431274 43.4004631 43.6319962 43.8904839 44.0274773 44.2357864 44.6881561 45.2234421 45.6568604 45.9576492 46.3207474 46.7447128 47.0025902 47.3656502 47.4063492 47.8002243 48.2014236 48.3935623 48.8429871 49.2240067 49.4553757 49.7664299 50.0426559 50.3334312 50.5571747 51.1274834 51.6170273 51.9306641 52.2097206 52.7507973 53.2095108 53.5532417 54.0467262 54.3083344 54.6867218 55.1102829 55.4460602 56.0262604 56.6471405 57.1503143 57.6191025 58.2175369 58.5080948 59.0900421 59.5971222 60.5242538 61.2720718 62.0561218 63.096611 64.1993866 65.4391479 66.8862762 68.9454651 70.3288269 72.6992493 75.0645752 78.5706635 83.3764191 96.4465485 232.087921 ------------------------------ Transdef: Tab for variable 7 30.5358734 32.5656738 33.6425018 34.010746 34.5646362 35.3330002 36.0536995 36.5728683 37.0180588 37.6546707 38.3127975 38.5663567 38.7687378 38.8498154 39.0769539 39.1597977 39.5688133 39.8500366 40.0780792 40.3373032 40.611763 40.9276581 41.3842545 41.7429886 42.1641006 42.322197 42.6303482 42.7285995 43.3030243 43.9500313 44.3323822 44.5996857 44.8773766 44.9391174 45.3993759 45.7290688 45.9789314 46.1760902 46.6321907 46.9234314 47.430336 48.0252914 48.4327316 48.8238068 49.3329811 49.5349808 50.0643425 50.7536125 51.0356903 51.5109253 52.0399284 52.3525352 52.850769 53.406826 54.0236168 54.6773605 55.5144005 56.0881462 56.7227173 57.504097 58.581974 58.9223366 59.718483 60.9552422 62.2149277 62.8284149 63.6337128 64.9878235 66.3439484 67.8012848 69.1601105 70.5411453 72.1711731 73.0658875 74.3355942 75.8984146 76.77108 77.7155151 78.9998016 80.8225021 82.7223358 84.0146942 86.5543747 88.2404938 90.5502014 93.0962067 96.021843 98.5097961 101.224792 104.529739 107.603683 110.852097 113.906059 119.009209 122.629066 127.713158 136.653229 146.838501 161.736633 176.694199 404.167908 ------------------------------ Transdef: Tab for variable 8 6.80322456 22.2375641 28.4560184 30.8542862 31.5170479 31.9667816 32.7244453 33.1593475 33.5758209 33.9640732 34.2657089 34.859436 35.3134651 35.5998764 36.1016998 36.6477432 37.1333733 37.3859062 37.6687088 37.7654572 38.0311775 38.2052498 38.5407944 38.8502007 38.9465561 39.2302094 39.3783646 39.5577087 39.6209908 39.8062553 39.9389191 40.3815384 40.7110939 40.7687073 41.0259361 41.2124329 41.4675636 41.8208542 41.9796219 42.5267143 42.8897552 43.085186 43.5341873 43.7225571 44.009903 44.1911392 44.4100723 44.7365036 44.8788986 45.103611 45.3552475 45.7047577 45.9972496 46.2964287 46.6612282 46.8636932 47.1828003 47.5690765 47.9563293 48.2369537 48.5056725 48.716713 48.8010712 49.1224213 49.3846092 49.7375946 50.0041275 50.1185036 50.4881744 50.7639809 51.1118011 51.4869423 51.8585892 52.3392296 52.773056 53.0614319 53.5605431 54.1092377 54.5735168 55.2455826 55.7245636 56.2454529 56.917038 57.5069275 58.2460403 58.9470901 59.976181 60.9551239 61.9037552 63.0008926 64.6657562 65.8909149 67.1735382 68.9281464 71.1530762 74.2106934 76.981163 80.278595 87.8928299 99.7773438 299.881683 ------------------------------ Transdef: Tab for variable 9 55.8076553 62.7101555 63.7447586 67.4167633 68.5705643 69.8675232 70.0827408 71.0050659 71.3599472 72.0184479 73.0364227 74.1642609 75.0813522 75.5134888 75.7128448 76.5637817 76.9693604 77.0271454 78.2189331 79.3546753 79.8399811 80.6520615 80.9730606 81.2171783 81.5995789 82.1883392 83.1883545 83.3686676 83.4156876 83.8120575 84.65448 84.7857056 85.3267975 85.8369904 86.1928864 86.5586014 86.8801575 87.4905548 88.3282013 88.6511307 89.3699646 90.1061401 90.5659714 90.9563293 91.6266632 92.0660019 92.7041779 92.9190598 93.5037689 93.8422241 94.5591888 95.2064362 95.4403534 96.0279388 96.6730042 97.3016357 97.8947906 98.4013901 98.6880341 99.0472565 99.411087 99.7291794 100.420151 100.832123 101.553879 101.826782 102.376427 103.099342 103.618744 103.93251 104.357803 104.952423 105.489525 105.926025 106.548149 107.200729 107.70668 108.257919 108.820282 109.465012 109.999619 110.781181 111.553886 112.151932 112.911972 113.913025 114.558655 114.909744 115.807877 116.633911 117.514893 119.042374 120.835175 123.014732 125.270058 128.877869 131.565277 136.790161 145.578873 157.250122 378.177582 ------------------------------ Transdef: Tab for variable 10 0.119945623 0.939793825 1.12085676 1.28922117 1.46681261 1.64012909 1.72434282 1.81421447 1.89104915 1.96172357 2.0150044 2.0807519 2.1450901 2.21562338 2.27151465 2.29845238 2.34920335 2.38011003 2.41912699 2.44377613 2.47450328 2.5010581 2.53539276 2.55773354 2.58866405 2.61778593 2.64626312 2.66766548 2.69156647 2.71619225 2.72921014 2.75575066 2.77740765 2.80130935 2.82045603 2.83204269 2.84972167 2.85180902 2.85347223 2.86583209 2.8744626 2.88495708 2.89212561 2.89767838 2.90231705 2.91316962 2.92602444 2.93315935 2.94216537 2.94846344 2.95347261 2.95850039 2.95990658 2.96629477 2.97289467 2.98021555 2.9873538 2.99294043 3.00046706 3.00390434 3.00872993 3.0139513 3.02069712 3.02547026 3.03202701 3.03463149 3.03790307 3.04388857 3.04983902 3.05292821 3.0569005 3.06524038 3.06600261 3.06893158 3.07143831 3.0730648 3.0750587 3.07870865 3.08098269 3.08397031 3.08843517 3.09093285 3.09466076 3.0972023 3.1015892 3.10369825 3.10543919 3.10792112 3.11108398 3.11299515 3.11319256 3.11568284 3.11943507 3.12101793 3.12331152 3.12685251 3.13037586 3.13368082 3.13539577 3.13783836 3.14156246 ------------------------------ Transdef: Tab for variable 11 2.7179718E-05 0.00724554062 0.0112676546 0.0193362236 0.0271759033 0.0413398147 0.0498507991 0.0637037605 0.0745635033 0.0817588344 0.0936228037 0.101811647 0.110203736 0.119724169 0.131875753 0.146520376 0.157254234 0.164573669 0.16874972 0.174745917 0.186246753 0.196861967 0.208612978 0.216950178 0.230300471 0.233191967 0.237852931 0.249360085 0.260681272 0.265841484 0.276234806 0.284946144 0.291826725 0.300276995 0.306080282 0.316469818 0.324273825 0.330033302 0.333706319 0.342642725 0.352136999 0.360251367 0.363224328 0.371789217 0.375136614 0.378614068 0.386207461 0.388300538 0.394178629 0.398676008 0.401476562 0.40824461 0.413116604 0.417459965 0.421530873 0.424738586 0.429671764 0.436578214 0.439029306 0.439514369 0.443181396 0.44675529 0.449455738 0.455253005 0.4640764 0.467266709 0.472045183 0.476726174 0.483780503 0.492571592 0.499159813 0.508966923 0.513377786 0.522534966 0.529417515 0.53730458 0.548460364 0.550605536 0.556399047 0.568365455 0.573882937 0.57787776 0.583031178 0.593874574 0.59764421 0.605428517 0.612076998 0.61819911 0.631129861 0.640177131 0.64912653 0.650412917 0.655920744 0.666082501 0.686130166 0.715238214 0.735538483 0.767104149 0.800307989 0.86091584 1.11007142 ------------------------------ Transdef: Tab for variable 12 0.345706671 0.376222491 0.40589571 0.412125736 0.413626611 0.418988407 0.424069017 0.428112626 0.432709068 0.437196046 0.439729154 0.443806946 0.445944935 0.449910998 0.453213155 0.45827651 0.460984647 0.463603556 0.467579126 0.472778082 0.474755526 0.479966253 0.481923372 0.484998107 0.487631083 0.490799695 0.493932813 0.497804463 0.502963662 0.507214248 0.512155592 0.515967846 0.521282613 0.525435925 0.528606296 0.531729937 0.534637749 0.537671983 0.540168166 0.545448899 0.551088274 0.552671731 0.556129456 0.558293104 0.564674735 0.566999912 0.569413245 0.57133621 0.576022148 0.578804314 0.583290458 0.586979866 0.590930521 0.595837176 0.59926486 0.601875782 0.605070353 0.610756993 0.614144564 0.618784428 0.621556759 0.626707435 0.629573166 0.634170055 0.637291908 0.641749144 0.64823401 0.652802348 0.658822298 0.663096666 0.665945053 0.666284382 0.669766545 0.675165892 0.67820406 0.67953229 0.68707329 0.692705154 0.700617969 0.703143418 0.710773587 0.714672565 0.720973611 0.727018952 0.728678584 0.737861037 0.741652548 0.747581542 0.753819942 0.755843759 0.765273571 0.779572427 0.788077474 0.796327531 0.811837316 0.842586637 0.861171246 0.878004014 0.896060169 0.933775365 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.1175365 21.5215702 22.2460003 23.1139679 23.3433113 23.8432617 24.2097321 24.6646729 24.9953766 25.3234596 25.698925 26.1279087 26.6341057 26.9463997 27.2575359 27.5720425 27.990097 28.5399323 28.9095573 29.5623627 29.6662445 29.9650688 30.1819706 30.5090237 30.5756054 30.9046021 31.0561543 31.3931808 31.7425499 32.2197876 32.5384254 32.8472366 33.1077156 33.3381653 33.7274628 34.0769653 34.4153595 34.5307388 34.9349594 35.2360916 35.4183884 35.8563614 36.1867485 36.3022995 36.5991173 37.0145988 37.3909225 37.807785 38.1923027 38.5340042 39.0532227 39.5160522 39.8094978 40.216732 40.4928169 40.8462677 41.2817459 41.5418167 42.1864662 42.740242 43.2643127 43.8129501 44.3973045 44.916748 45.5005188 46.1563721 46.4720535 46.9939194 47.5827484 48.3353996 49.1931458 50.1625099 50.6352997 50.9004135 52.0394974 52.595047 53.5485306 54.5816689 55.7596817 57.3139153 58.612793 59.6994781 60.0891457 60.8806915 62.025013 63.0071564 64.4445419 65.9425049 66.894249 69.1989594 72.3989563 75.4561081 77.6552887 79.7480316 82.2696075 83.9374847 86.2808228 88.9699326 91.8179932 103.925415 194.379669 ------------------------------ Transdef: Tab for variable 14 10.0312004 10.4330349 10.7845631 11.0525208 11.3367958 11.621273 11.732235 12.0570221 12.2203445 12.4768782 12.7772532 12.8527527 13.1509151 13.412056 13.6619816 13.8502026 13.8870811 14.1114082 14.404026 14.5345516 14.8782978 15.0726299 15.2025223 15.44524 15.6907425 15.9086113 16.0960197 16.2734833 16.4561844 16.5966892 16.7812729 16.9062119 17.1437263 17.3699417 17.6513634 17.728281 17.7854767 17.9148064 18.0370483 18.1680756 18.2764015 18.4048538 18.5522518 18.7496471 18.9957142 19.0937214 19.2439613 19.4313622 19.5609779 19.8105545 19.9519081 20.1299133 20.3957863 20.5774918 20.6655121 20.9782372 21.1845322 21.5095406 21.6213379 21.6800823 21.8361111 22.0367546 22.2618847 22.380703 22.6381435 22.8848076 23.1363449 23.2368927 23.4732437 23.6205406 23.860775 24.1873512 24.5308685 24.879158 25.1243725 25.589283 25.9653473 26.1911907 26.5286102 27.0179424 27.3120308 27.6502342 27.8407001 28.1162319 28.6241512 29.0986176 29.5582047 30.1351128 30.8976555 31.4784431 31.822691 32.4325371 33.3978119 34.5963173 35.5478973 36.9422684 38.7908096 43.0951805 47.9466743 55.0421295 85.8603439 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 0.9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 45.2 19.8 27.2 -5.5 19.5 45.9 31.5 36.6 -32.6 -5.4 -13.0 1.9 15.8 2 45.2 100.0 49.1 35.2 9.0 57.7 92.7 64.3 85.3 -54.9 -15.5 -28.4 20.3 19.6 3 19.8 49.1 100.0 3.9 -10.5 16.4 52.9 38.7 58.2 -12.9 -11.0 -34.4 60.2 -2.6 4 27.2 35.2 3.9 100.0 -8.0 13.2 39.3 30.6 38.5 -9.1 -18.0 -39.2 -6.6 72.6 5 -5.5 9.0 -10.5 -8.0 100.0 77.9 -22.6 29.8 44.6 31.5 -1.0 4.5 -15.8 -8.4 6 19.5 57.7 16.4 13.2 77.9 100.0 31.6 64.0 77.8 -4.4 -7.3 -10.0 -1.8 5.2 7 45.9 92.7 52.9 39.3 -22.6 31.6 100.0 59.7 69.4 -60.2 -14.6 -28.6 26.8 23.9 8 31.5 64.3 38.7 30.6 29.8 64.0 59.7 100.0 74.0 -15.4 -15.3 -22.8 19.9 20.3 9 36.6 85.3 58.2 38.5 44.6 77.8 69.4 74.0 100.0 -24.5 -16.0 -34.3 23.6 22.5 10 -32.6 -54.9 -12.9 -9.1 31.5 -4.4 -60.2 -15.4 -24.5 100.0 2.1 4.8 -5.7 -5.0 11 -5.4 -15.5 -11.0 -18.0 -1.0 -7.3 -14.6 -15.3 -16.0 2.1 100.0 48.2 -12.0 -19.3 12 -13.0 -28.4 -34.4 -39.2 4.5 -10.0 -28.6 -22.8 -34.3 4.8 48.2 100.0 -16.5 -30.6 13 1.9 20.3 60.2 -6.6 -15.8 -1.8 26.8 19.9 23.6 -5.7 -12.0 -16.5 100.0 23.3 14 15.8 19.6 -2.6 72.6 -8.4 5.2 23.9 20.3 22.5 -5.0 -19.3 -30.6 23.3 100.0 TOTAL CORRELATION TO TARGET (diagonal) 97.6713063 TOTAL CORRELATION OF ALL VARIABLES 49.5139384 ROUND 1: MAX CORR ( 49.5091852) AFTER KILLING INPUT VARIABLE 7 CONTR 0.686052259 ROUND 2: MAX CORR ( 49.5031355) AFTER KILLING INPUT VARIABLE 11 CONTR 0.773947249 ROUND 3: MAX CORR ( 49.4768036) AFTER KILLING INPUT VARIABLE 3 CONTR 1.61441332 ROUND 4: MAX CORR ( 49.4531574) AFTER KILLING INPUT VARIABLE 14 CONTR 1.52948536 ROUND 5: MAX CORR ( 49.4018181) AFTER KILLING INPUT VARIABLE 6 CONTR 2.25280767 ROUND 6: MAX CORR ( 49.2922535) AFTER KILLING INPUT VARIABLE 12 CONTR 3.28837051 ROUND 7: MAX CORR ( 49.1357342) AFTER KILLING INPUT VARIABLE 9 CONTR 3.92503246 ROUND 8: MAX CORR ( 48.6540355) AFTER KILLING INPUT VARIABLE 5 CONTR 6.86332255 ROUND 9: MAX CORR ( 48.3716677) AFTER KILLING INPUT VARIABLE 13 CONTR 5.23420803 ROUND 10: MAX CORR ( 48.0721989) AFTER KILLING INPUT VARIABLE 8 CONTR 5.37419165 ROUND 11: MAX CORR ( 46.8051803) AFTER KILLING INPUT VARIABLE 10 CONTR 10.9640959 ROUND 12: MAX CORR ( 45.2167188) AFTER KILLING INPUT VARIABLE 4 CONTR 12.0902127 LAST REMAINING VARIABLE: 2 total correlation to target: 49.5139384 % total significance: 25.9548707 sigma correlations of single variables to target: variable 2: 45.2167188 % , in sigma: 23.7022974 variable 3: 19.7561701 % , in sigma: 10.3560504 variable 4: 27.2136743 % , in sigma: 14.2652235 variable 5: -5.5210887 % , in sigma: 2.89411726 variable 6: 19.4957569 % , in sigma: 10.2195436 variable 7: 45.8883 % , in sigma: 24.0543357 variable 8: 31.4927113 % , in sigma: 16.5082657 variable 9: 36.6492408 % , in sigma: 19.2112835 variable 10: -32.5870482 % , in sigma: 17.0819097 variable 11: -5.38459174 % , in sigma: 2.82256648 variable 12: -13.0312601 % , in sigma: 6.83089816 variable 13: 1.90273835 % , in sigma: 0.99740254 variable 14: 15.7682477 % , in sigma: 8.26560851 variables sorted by significance: 1 most relevant variable 2 corr 45.2167206 , in sigma: 23.7022983 2 most relevant variable 4 corr 12.0902128 , in sigma: 6.33760757 3 most relevant variable 10 corr 10.9640961 , in sigma: 5.74730481 4 most relevant variable 8 corr 5.37419176 , in sigma: 2.81711488 5 most relevant variable 13 corr 5.23420811 , in sigma: 2.74373639 6 most relevant variable 5 corr 6.86332273 , in sigma: 3.59770724 7 most relevant variable 9 corr 3.92503238 , in sigma: 2.05747536 8 most relevant variable 12 corr 3.28837061 , in sigma: 1.72374157 9 most relevant variable 6 corr 2.25280762 , in sigma: 1.18090648 10 most relevant variable 14 corr 1.52948534 , in sigma: 0.801745846 11 most relevant variable 3 corr 1.61441338 , in sigma: 0.846264546 12 most relevant variable 11 corr 0.773947239 , in sigma: 0.405697894 13 most relevant variable 7 corr 0.686052263 , in sigma: 0.359623944 global correlations between input variables: variable 2: 98.7429652 % variable 3: 92.7351506 % variable 4: 88.2046387 % variable 5: 96.0361114 % variable 6: 94.1738421 % variable 7: 98.4122216 % variable 8: 83.7462291 % variable 9: 98.5426324 % variable 10: 73.3613522 % variable 11: 50.9313676 % variable 12: 65.346454 % variable 13: 77.3235023 % variable 14: 83.2532613 % significance loss when removing single variables: variable 2: corr = 3.4347206 % , sigma = 1.80045725 variable 3: corr = 1.47504719 % , sigma = 0.773209735 variable 4: corr = 3.82527941 % , sigma = 2.00518553 variable 5: corr = 1.83303912 % , sigma = 0.960866678 variable 6: corr = 2.08866573 % , sigma = 1.09486441 variable 7: corr = 0.686052259 % , sigma = 0.359623942 variable 8: corr = 5.31784751 % , sigma = 2.7875796 variable 9: corr = 1.89159374 % , sigma = 0.99156061 variable 10: corr = 7.99571276 % , sigma = 4.19129841 variable 11: corr = 0.763594483 % , sigma = 0.40027105 variable 12: corr = 2.84751998 % , sigma = 1.49265067 variable 13: corr = 7.52872607 % , sigma = 3.94650715 variable 14: corr = 1.98802944 % , sigma = 1.04211155 Keep only 3 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 4 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 6.48946428 sigma out 15 active outputs RANK 2 NODE 2 --> 6.15579176 sigma out 15 active outputs RANK 3 NODE 1 --> 5.3094821 sigma out 15 active outputs RANK 4 NODE 3 --> 4.34842205 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 6.41486311 sigma in 4act. ( 7.95542049 sig out 1act.) RANK 2 NODE 13 --> 4.96693611 sigma in 4act. ( 5.10791445 sig out 1act.) RANK 3 NODE 4 --> 3.60736418 sigma in 4act. ( 3.96730351 sig out 1act.) RANK 4 NODE 6 --> 3.22941208 sigma in 4act. ( 3.50975657 sig out 1act.) RANK 5 NODE 15 --> 3.05204153 sigma in 4act. ( 3.38413215 sig out 1act.) RANK 6 NODE 5 --> 2.37797451 sigma in 4act. ( 2.43971658 sig out 1act.) RANK 7 NODE 14 --> 2.28314066 sigma in 4act. ( 2.55020523 sig out 1act.) RANK 8 NODE 3 --> 1.90201914 sigma in 4act. ( 1.95404959 sig out 1act.) RANK 9 NODE 1 --> 1.88441145 sigma in 4act. ( 1.8825531 sig out 1act.) RANK 10 NODE 9 --> 1.56184065 sigma in 4act. ( 1.83794796 sig out 1act.) RANK 11 NODE 8 --> 1.50945687 sigma in 4act. ( 1.45305073 sig out 1act.) RANK 12 NODE 7 --> 1.48120236 sigma in 4act. ( 1.3508954 sig out 1act.) RANK 13 NODE 12 --> 1.21613383 sigma in 4act. ( 1.33056223 sig out 1act.) RANK 14 NODE 11 --> 1.13005853 sigma in 4act. ( 0.310625315 sig out 1act.) RANK 15 NODE 2 --> 0.907890975 sigma in 4act. ( 0.436894953 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 7.95542049 sigma out 1act.( 6.41486311 sig in 4act.) RANK 2 NODE 13 --> 5.10791445 sigma out 1act.( 4.96693611 sig in 4act.) RANK 3 NODE 4 --> 3.96730351 sigma out 1act.( 3.60736418 sig in 4act.) RANK 4 NODE 6 --> 3.50975657 sigma out 1act.( 3.22941208 sig in 4act.) RANK 5 NODE 15 --> 3.38413215 sigma out 1act.( 3.05204153 sig in 4act.) RANK 6 NODE 14 --> 2.55020523 sigma out 1act.( 2.28314066 sig in 4act.) RANK 7 NODE 5 --> 2.43971658 sigma out 1act.( 2.37797451 sig in 4act.) RANK 8 NODE 3 --> 1.95404959 sigma out 1act.( 1.90201914 sig in 4act.) RANK 9 NODE 1 --> 1.8825531 sigma out 1act.( 1.88441145 sig in 4act.) RANK 10 NODE 9 --> 1.83794796 sigma out 1act.( 1.56184065 sig in 4act.) RANK 11 NODE 8 --> 1.45305073 sigma out 1act.( 1.50945687 sig in 4act.) RANK 12 NODE 7 --> 1.3508954 sigma out 1act.( 1.48120236 sig in 4act.) RANK 13 NODE 12 --> 1.33056223 sigma out 1act.( 1.21613383 sig in 4act.) RANK 14 NODE 2 --> 0.436894953 sigma out 1act.( 0.907890975 sig in 4act.) RANK 15 NODE 11 --> 0.310625315 sigma out 1act.( 1.13005853 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 12.5729818 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 11.0214491 sigma out 15 active outputs RANK 2 NODE 1 --> 9.48801899 sigma out 15 active outputs RANK 3 NODE 2 --> 8.23717022 sigma out 15 active outputs RANK 4 NODE 3 --> 5.66199827 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 8.66442394 sigma in 4act. ( 9.16808319 sig out 1act.) RANK 2 NODE 13 --> 5.93968153 sigma in 4act. ( 5.44104052 sig out 1act.) RANK 3 NODE 4 --> 5.77529621 sigma in 4act. ( 4.94240522 sig out 1act.) RANK 4 NODE 5 --> 5.54610586 sigma in 4act. ( 3.08603811 sig out 1act.) RANK 5 NODE 6 --> 5.03512812 sigma in 4act. ( 4.49737024 sig out 1act.) RANK 6 NODE 2 --> 4.84564781 sigma in 4act. ( 1.67844033 sig out 1act.) RANK 7 NODE 3 --> 4.6823988 sigma in 4act. ( 4.11818123 sig out 1act.) RANK 8 NODE 15 --> 4.15069103 sigma in 4act. ( 2.58970022 sig out 1act.) RANK 9 NODE 8 --> 4.11606121 sigma in 4act. ( 2.73722625 sig out 1act.) RANK 10 NODE 14 --> 3.49242377 sigma in 4act. ( 2.72556829 sig out 1act.) RANK 11 NODE 11 --> 2.33491373 sigma in 4act. ( 0.375015944 sig out 1act.) RANK 12 NODE 1 --> 2.06697369 sigma in 4act. ( 1.18844366 sig out 1act.) RANK 13 NODE 7 --> 1.91922784 sigma in 4act. ( 0.505956173 sig out 1act.) RANK 14 NODE 12 --> 1.8562516 sigma in 4act. ( 1.67196655 sig out 1act.) RANK 15 NODE 9 --> 1.72059655 sigma in 4act. ( 1.66814625 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 9.16808319 sigma out 1act.( 8.66442394 sig in 4act.) RANK 2 NODE 13 --> 5.44104052 sigma out 1act.( 5.93968153 sig in 4act.) RANK 3 NODE 4 --> 4.94240522 sigma out 1act.( 5.77529621 sig in 4act.) RANK 4 NODE 6 --> 4.49737024 sigma out 1act.( 5.03512812 sig in 4act.) RANK 5 NODE 3 --> 4.11818123 sigma out 1act.( 4.6823988 sig in 4act.) RANK 6 NODE 5 --> 3.08603811 sigma out 1act.( 5.54610586 sig in 4act.) RANK 7 NODE 8 --> 2.73722625 sigma out 1act.( 4.11606121 sig in 4act.) RANK 8 NODE 14 --> 2.72556829 sigma out 1act.( 3.49242377 sig in 4act.) RANK 9 NODE 15 --> 2.58970022 sigma out 1act.( 4.15069103 sig in 4act.) RANK 10 NODE 2 --> 1.67844033 sigma out 1act.( 4.84564781 sig in 4act.) RANK 11 NODE 12 --> 1.67196655 sigma out 1act.( 1.8562516 sig in 4act.) RANK 12 NODE 9 --> 1.66814625 sigma out 1act.( 1.72059655 sig in 4act.) RANK 13 NODE 1 --> 1.18844366 sigma out 1act.( 2.06697369 sig in 4act.) RANK 14 NODE 7 --> 0.505956173 sigma out 1act.( 1.91922784 sig in 4act.) RANK 15 NODE 11 --> 0.375015944 sigma out 1act.( 2.33491373 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.7182703 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.475107312 *** contribution from regularisation: 0.0150193088 *** contribution from error: -0.49012661 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.516664505 *** contribution from regularisation: 0.006699997 *** contribution from error: -0.523364484 *********************************************** -----------------> Test sample ENTER BFGS code START -4320.15144 -0.88830483 -0.197124511 EXIT FROM BFGS code FG_START 0. -0.88830483 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.523924589 *** contribution from regularisation: 0.00498941587 *** contribution from error: -0.528914034 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -4380.00934 -0.88830483 0.559715748 EXIT FROM BFGS code FG_LNSRCH 0. -0.884383082 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.526518047 *** contribution from regularisation: 0.00970383361 *** contribution from error: -0.536221862 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4401.69089 -0.884383082 13.5199871 EXIT FROM BFGS code NEW_X -4401.69089 -0.884383082 13.5199871 ENTER BFGS code NEW_X -4401.69089 -0.884383082 13.5199871 EXIT FROM BFGS code FG_LNSRCH 0. -0.858749688 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.531542063 *** contribution from regularisation: 0.00778514845 *** contribution from error: -0.539327204 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4443.69188 -0.858749688 3.81585598 EXIT FROM BFGS code NEW_X -4443.69188 -0.858749688 3.81585598 ENTER BFGS code NEW_X -4443.69188 -0.858749688 3.81585598 EXIT FROM BFGS code FG_LNSRCH 0. -0.845178366 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.531872094 *** contribution from regularisation: 0.00729638617 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4446.45086 -0.845178366 3.18577218 EXIT FROM BFGS code NEW_X -4446.45086 -0.845178366 3.18577218 ENTER BFGS code NEW_X -4446.45086 -0.845178366 3.18577218 EXIT FROM BFGS code FG_LNSRCH 0. -0.785698295 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.531616747 *** contribution from regularisation: 0.00682336651 *** contribution from error: -0.538440108 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4444.31599 -0.785698295 1.20329237 EXIT FROM BFGS code FG_LNSRCH 0. -0.833262324 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.530698061 *** contribution from regularisation: 0.00840507448 *** contribution from error: -0.53910315 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4436.63581 -0.833262324 2.5457983 EXIT FROM BFGS code FG_LNSRCH 0. -0.844868124 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.531651139 *** contribution from regularisation: 0.00751673011 *** contribution from error: -0.539167881 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4444.60376 -0.844868124 3.03083944 EXIT FROM BFGS code FG_LNSRCH 0. -0.845177114 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 9.45062923 sigma out 15 active outputs RANK 2 NODE 1 --> 8.34146786 sigma out 15 active outputs RANK 3 NODE 2 --> 5.24045229 sigma out 15 active outputs RANK 4 NODE 3 --> 3.22642875 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 6.55226135 sigma in 4act. ( 6.00740433 sig out 1act.) RANK 2 NODE 4 --> 5.17272282 sigma in 4act. ( 4.10519934 sig out 1act.) RANK 3 NODE 2 --> 4.81347418 sigma in 4act. ( 3.0461247 sig out 1act.) RANK 4 NODE 3 --> 4.52389383 sigma in 4act. ( 3.36393714 sig out 1act.) RANK 5 NODE 5 --> 4.25228453 sigma in 4act. ( 3.77077913 sig out 1act.) RANK 6 NODE 8 --> 4.22579479 sigma in 4act. ( 3.17797756 sig out 1act.) RANK 7 NODE 6 --> 3.82449436 sigma in 4act. ( 2.90583372 sig out 1act.) RANK 8 NODE 13 --> 3.09616184 sigma in 4act. ( 2.05909443 sig out 1act.) RANK 9 NODE 14 --> 2.39757371 sigma in 4act. ( 1.46553934 sig out 1act.) RANK 10 NODE 15 --> 2.38263202 sigma in 4act. ( 0.190200731 sig out 1act.) RANK 11 NODE 11 --> 2.05811071 sigma in 4act. ( 1.44259906 sig out 1act.) RANK 12 NODE 12 --> 1.67922735 sigma in 4act. ( 1.38241827 sig out 1act.) RANK 13 NODE 1 --> 1.3566221 sigma in 4act. ( 0.711854339 sig out 1act.) RANK 14 NODE 9 --> 1.22279978 sigma in 4act. ( 0.941360712 sig out 1act.) RANK 15 NODE 7 --> 1.21388066 sigma in 4act. ( 0.0292382278 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 6.00740433 sigma out 1act.( 6.55226135 sig in 4act.) RANK 2 NODE 4 --> 4.10519934 sigma out 1act.( 5.17272282 sig in 4act.) RANK 3 NODE 5 --> 3.77077913 sigma out 1act.( 4.25228453 sig in 4act.) RANK 4 NODE 3 --> 3.36393714 sigma out 1act.( 4.52389383 sig in 4act.) RANK 5 NODE 8 --> 3.17797756 sigma out 1act.( 4.22579479 sig in 4act.) RANK 6 NODE 2 --> 3.0461247 sigma out 1act.( 4.81347418 sig in 4act.) RANK 7 NODE 6 --> 2.90583372 sigma out 1act.( 3.82449436 sig in 4act.) RANK 8 NODE 13 --> 2.05909443 sigma out 1act.( 3.09616184 sig in 4act.) RANK 9 NODE 14 --> 1.46553934 sigma out 1act.( 2.39757371 sig in 4act.) RANK 10 NODE 11 --> 1.44259906 sigma out 1act.( 2.05811071 sig in 4act.) RANK 11 NODE 12 --> 1.38241827 sigma out 1act.( 1.67922735 sig in 4act.) RANK 12 NODE 9 --> 0.941360712 sigma out 1act.( 1.22279978 sig in 4act.) RANK 13 NODE 1 --> 0.711854339 sigma out 1act.( 1.3566221 sig in 4act.) RANK 14 NODE 15 --> 0.190200731 sigma out 1act.( 2.38263202 sig in 4act.) RANK 15 NODE 7 --> 0.0292382278 sigma out 1act.( 1.21388066 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.8677731 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.531438172 *** contribution from regularisation: 0.00773034338 *** contribution from error: -0.539168537 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4442.82295 -0.845177114 2.94548059 EXIT FROM BFGS code FG_LNSRCH 0. -0.845178366 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.531659007 *** contribution from regularisation: 0.00750947185 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4444.66947 -0.845178366 3.22571993 EXIT FROM BFGS code FG_LNSRCH 0. -0.845178366 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.531305909 *** contribution from regularisation: 0.00786258187 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4441.71747 -0.845178366 2.74923539 EXIT FROM BFGS code FG_LNSRCH 0. -0.845178366 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.531966269 *** contribution from regularisation: 0.007202229 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4447.23802 -0.845178366 2.98293877 EXIT FROM BFGS code NEW_X -4447.23802 -0.845178366 2.98293877 ENTER BFGS code NEW_X -4447.23802 -0.845178366 2.98293877 EXIT FROM BFGS code FG_LNSRCH 0. -0.78678894 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.531718612 *** contribution from regularisation: 0.00674896315 *** contribution from error: -0.538467586 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4445.16738 -0.78678894 1.21715379 EXIT FROM BFGS code FG_LNSRCH 0. -0.833526731 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.530659497 *** contribution from regularisation: 0.00844607968 *** contribution from error: -0.539105594 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4436.31354 -0.833526731 2.75771284 EXIT FROM BFGS code FG_LNSRCH 0. -0.844908416 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.531471431 *** contribution from regularisation: 0.00769652752 *** contribution from error: -0.539167941 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4443.10102 -0.844908416 3.06095862 EXIT FROM BFGS code FG_LNSRCH 0. -0.845177948 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.53136903 *** contribution from regularisation: 0.00779944146 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4442.24532 -0.845177948 2.82302713 EXIT FROM BFGS code FG_LNSRCH 0. -0.845178366 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.53170979 *** contribution from regularisation: 0.00745868636 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4445.09403 -0.845178366 2.99171066 EXIT FROM BFGS code FG_LNSRCH 0. -0.845178366 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.531625509 *** contribution from regularisation: 0.00754298782 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -4444.38927 -0.845178366 2.9151361 EXIT FROM BFGS code FG_LNSRCH 0. -0.845178366 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 9.85263729 sigma out 15 active outputs RANK 2 NODE 1 --> 9.04173183 sigma out 15 active outputs RANK 3 NODE 2 --> 5.45262384 sigma out 15 active outputs RANK 4 NODE 3 --> 3.31567788 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 7.00956583 sigma in 4act. ( 6.38714933 sig out 1act.) RANK 2 NODE 4 --> 5.59071732 sigma in 4act. ( 4.36701107 sig out 1act.) RANK 3 NODE 2 --> 5.09761143 sigma in 4act. ( 3.27333355 sig out 1act.) RANK 4 NODE 3 --> 4.85820818 sigma in 4act. ( 3.63322902 sig out 1act.) RANK 5 NODE 8 --> 4.52937269 sigma in 4act. ( 3.4614048 sig out 1act.) RANK 6 NODE 5 --> 4.33692598 sigma in 4act. ( 4.0658679 sig out 1act.) RANK 7 NODE 6 --> 4.03723049 sigma in 4act. ( 3.21347976 sig out 1act.) RANK 8 NODE 13 --> 3.18324471 sigma in 4act. ( 2.33186388 sig out 1act.) RANK 9 NODE 14 --> 2.44041538 sigma in 4act. ( 1.55180776 sig out 1act.) RANK 10 NODE 15 --> 2.34799004 sigma in 4act. ( 0.204498455 sig out 1act.) RANK 11 NODE 11 --> 2.14408231 sigma in 4act. ( 1.5130192 sig out 1act.) RANK 12 NODE 12 --> 1.71024728 sigma in 4act. ( 1.4308275 sig out 1act.) RANK 13 NODE 1 --> 1.35502076 sigma in 4act. ( 0.750710011 sig out 1act.) RANK 14 NODE 9 --> 1.24955428 sigma in 4act. ( 1.0055393 sig out 1act.) RANK 15 NODE 7 --> 1.19567561 sigma in 4act. ( 0.0308674984 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 6.38714933 sigma out 1act.( 7.00956583 sig in 4act.) RANK 2 NODE 4 --> 4.36701107 sigma out 1act.( 5.59071732 sig in 4act.) RANK 3 NODE 5 --> 4.0658679 sigma out 1act.( 4.33692598 sig in 4act.) RANK 4 NODE 3 --> 3.63322902 sigma out 1act.( 4.85820818 sig in 4act.) RANK 5 NODE 8 --> 3.4614048 sigma out 1act.( 4.52937269 sig in 4act.) RANK 6 NODE 2 --> 3.27333355 sigma out 1act.( 5.09761143 sig in 4act.) RANK 7 NODE 6 --> 3.21347976 sigma out 1act.( 4.03723049 sig in 4act.) RANK 8 NODE 13 --> 2.33186388 sigma out 1act.( 3.18324471 sig in 4act.) RANK 9 NODE 14 --> 1.55180776 sigma out 1act.( 2.44041538 sig in 4act.) RANK 10 NODE 11 --> 1.5130192 sigma out 1act.( 2.14408231 sig in 4act.) RANK 11 NODE 12 --> 1.4308275 sigma out 1act.( 1.71024728 sig in 4act.) RANK 12 NODE 9 --> 1.0055393 sigma out 1act.( 1.24955428 sig in 4act.) RANK 13 NODE 1 --> 0.750710011 sigma out 1act.( 1.35502076 sig in 4act.) RANK 14 NODE 15 --> 0.204498455 sigma out 1act.( 2.34799004 sig in 4act.) RANK 15 NODE 7 --> 0.0308674984 sigma out 1act.( 1.19567561 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 11.6799078 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.531580448 *** contribution from regularisation: 0.00758803077 *** contribution from error: -0.539168477 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -4444.01272 -0.845178366 3.4724493 EXIT FROM BFGS code NEW_X -4444.01272 -0.845178366 3.4724493 ENTER BFGS code NEW_X -4444.01272 -0.845178366 3.4724493 EXIT FROM BFGS code CONVERGENC -4444.01272 -0.845178366 3.4724493 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 13.9159184 sigma out 15 active outputs RANK 2 NODE 1 --> 13.0455809 sigma out 15 active outputs RANK 3 NODE 2 --> 7.52648544 sigma out 15 active outputs RANK 4 NODE 3 --> 4.34242105 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 10.6653852 sigma in 4act. ( 9.62014103 sig out 1act.) RANK 2 NODE 4 --> 8.17541599 sigma in 4act. ( 6.23342562 sig out 1act.) RANK 3 NODE 2 --> 7.29055166 sigma in 4act. ( 4.70083427 sig out 1act.) RANK 4 NODE 3 --> 7.1489563 sigma in 4act. ( 5.19160843 sig out 1act.) RANK 5 NODE 8 --> 6.52058125 sigma in 4act. ( 4.9649353 sig out 1act.) RANK 6 NODE 6 --> 5.65855837 sigma in 4act. ( 4.87393141 sig out 1act.) RANK 7 NODE 5 --> 5.41993952 sigma in 4act. ( 6.3253336 sig out 1act.) RANK 8 NODE 13 --> 4.03465271 sigma in 4act. ( 3.5952251 sig out 1act.) RANK 9 NODE 14 --> 3.03091311 sigma in 4act. ( 2.29002237 sig out 1act.) RANK 10 NODE 11 --> 2.83971334 sigma in 4act. ( 1.98740888 sig out 1act.) RANK 11 NODE 15 --> 2.45757794 sigma in 4act. ( 0.29817757 sig out 1act.) RANK 12 NODE 12 --> 2.16697788 sigma in 4act. ( 1.87858379 sig out 1act.) RANK 13 NODE 9 --> 1.54804683 sigma in 4act. ( 1.35162675 sig out 1act.) RANK 14 NODE 1 --> 1.5374912 sigma in 4act. ( 1.05806243 sig out 1act.) RANK 15 NODE 7 --> 1.24871528 sigma in 4act. ( 0.0414995849 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 9.62014103 sigma out 1act.( 10.6653852 sig in 4act.) RANK 2 NODE 5 --> 6.3253336 sigma out 1act.( 5.41993952 sig in 4act.) RANK 3 NODE 4 --> 6.23342562 sigma out 1act.( 8.17541599 sig in 4act.) RANK 4 NODE 3 --> 5.19160843 sigma out 1act.( 7.1489563 sig in 4act.) RANK 5 NODE 8 --> 4.9649353 sigma out 1act.( 6.52058125 sig in 4act.) RANK 6 NODE 6 --> 4.87393141 sigma out 1act.( 5.65855837 sig in 4act.) RANK 7 NODE 2 --> 4.70083427 sigma out 1act.( 7.29055166 sig in 4act.) RANK 8 NODE 13 --> 3.5952251 sigma out 1act.( 4.03465271 sig in 4act.) RANK 9 NODE 14 --> 2.29002237 sigma out 1act.( 3.03091311 sig in 4act.) RANK 10 NODE 11 --> 1.98740888 sigma out 1act.( 2.83971334 sig in 4act.) RANK 11 NODE 12 --> 1.87858379 sigma out 1act.( 2.16697788 sig in 4act.) RANK 12 NODE 9 --> 1.35162675 sigma out 1act.( 1.54804683 sig in 4act.) RANK 13 NODE 1 --> 1.05806243 sigma out 1act.( 1.5374912 sig in 4act.) RANK 14 NODE 15 --> 0.29817757 sigma out 1act.( 2.45757794 sig in 4act.) RANK 15 NODE 7 --> 0.0414995849 sigma out 1act.( 1.24871528 sig in 4act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.2497749 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.530860543 *** contribution from regularisation: 0.00830797572 *** contribution from error: -0.539168537 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 23367 Closing output file done