NNInput NNInputs_155.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= 205010 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 = 56668 nbkg = 148342 Bkg Entries: 148342 Sig Entries: 56668 Chosen entries: 56668 Signal fraction: 1 Background fraction: 0.382009 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 148342 Actual Signal Entries: 56668 Entries to split: 56668 Test with : 28334 Train with : 28334 ********************************************* * 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= 56668 for Signal Prepared event 0 for Signal with 56668 events ====Entry 0 Variable Ht : 266.323 Variable LepAPt : 64.2176 Variable LepBPt : 58.0643 Variable MetSigLeptonsJets : 2.54404 Variable MetSpec : 36.171 Variable SumEtLeptonsJets : 227.916 Variable VSumJetLeptonsPt : 47.3654 Variable addEt : 160.689 Variable dPhiLepSumMet : 2.30851 Variable dPhiLeptons : 0.188909 Variable dRLeptons : 0.230155 Variable lep1_E : 71.5884 Variable lep2_E : 61.5172 ===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 = 2155 Ht = 266.323 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 64.2176 LepAPt = 64.2176 LepBEt = 58.0643 LepBPt = 58.0643 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 38.4071 MetDelPhi = 1.22788 MetSig = 2.2508 MetSigLeptonsJets = 2.54404 MetSpec = 36.171 Mjj = 0 MostCentralJetEta = 0.570342 MtllMet = 163.453 Njets = 1 SB = 0 SumEt = 291.171 SumEtJets = 0 SumEtLeptonsJets = 227.916 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 47.3654 addEt = 160.689 dPhiLepSumMet = 2.30851 dPhiLeptons = 0.188909 dRLeptons = 0.230155 diltype = 45 dimass = 14.0433 event = 519 jet1_Et = 105.634 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 71.5884 lep2_E = 61.5172 rand = 0.999742 run = 236753 weight = 3.57235e-06 ===Show End Prepared event 10000 for Signal with 56668 events Prepared event 20000 for Signal with 56668 events Prepared event 30000 for Signal with 56668 events Prepared event 40000 for Signal with 56668 events Prepared event 50000 for Signal with 56668 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= 148342 for Background Prepared event 0 for Background with 148342 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 = 0.341711 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 148342 events Prepared event 20000 for Background with 148342 events Prepared event 30000 for Background with 148342 events Prepared event 40000 for Background with 148342 events Prepared event 50000 for Background with 148342 events Prepared event 60000 for Background with 148342 events Prepared event 70000 for Background with 148342 events Prepared event 80000 for Background with 148342 events Prepared event 90000 for Background with 148342 events Prepared event 100000 for Background with 148342 events Prepared event 110000 for Background with 148342 events Prepared event 120000 for Background with 148342 events Prepared event 130000 for Background with 148342 events Prepared event 140000 for Background with 148342 events Warning: found 4757 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 205010 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 4757 negative weights. Signal fraction: 63.2218552 % ------------------------------ 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 60.0019798 63.5994186 65.8717651 67.6493225 68.812851 69.9518967 70.9479523 71.7957764 72.6454315 73.4723053 74.1824188 74.8804626 75.5263672 76.2559814 76.9858856 77.7002411 78.3748474 79.0097961 79.6555786 80.3696747 80.9621887 81.6669006 82.5036926 83.1997375 84.019043 85.0632935 86.172287 87.235321 88.3194504 89.2468414 90.6927795 92.1889954 93.6281586 95.1161041 96.5212402 97.9495392 99.406662 100.832703 102.466415 104.044434 105.612015 106.936455 108.387741 110.021927 111.568436 113.369141 114.812386 116.386169 117.935059 119.543762 120.8041 122.351868 123.941879 125.313187 126.839218 128.178787 129.485596 130.96019 132.473129 133.845276 135.162018 136.607269 137.99411 139.289978 140.570801 141.904388 143.262054 144.56572 145.961121 147.347443 148.777557 150.320953 151.847412 153.414551 155.175949 157.060486 158.984833 161.014465 163.16835 165.4953 167.847504 170.439972 172.883698 175.436584 178.173157 181.378036 184.494736 187.987305 191.672394 196.029205 200.106171 205.335464 211.084106 217.776474 224.938614 234.400787 245.779938 263.074158 286.34259 339.809753 888.225952 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3308411 20.6829987 20.9910736 21.2733574 21.5458221 21.822876 22.0505486 22.2707405 22.5190849 22.7389412 22.9404373 23.1612396 23.376255 23.5679169 23.8107185 24.0534134 24.286459 24.5126152 24.7177296 24.9373493 25.1530418 25.3229599 25.5274105 25.7196293 25.9181023 26.1517029 26.3550339 26.5800323 26.8069706 27.0357571 27.259903 27.5081291 27.7711601 27.9973412 28.2449112 28.4754448 28.708168 28.968605 29.2365723 29.4913483 29.7250309 29.9572372 30.2564697 30.5088615 30.7929001 31.0811825 31.34095 31.5697975 31.8443909 32.1147423 32.3982925 32.6900215 32.9836884 33.2478485 33.5438843 33.795681 34.0860519 34.390583 34.6823349 35.001442 35.2847252 35.5987625 35.8760452 36.1788254 36.5001221 36.7781868 37.1181335 37.4620209 37.7761154 38.1378098 38.4497833 38.80867 39.1708221 39.4474716 39.8360329 40.2439461 40.5859833 40.8456955 41.2571182 41.654892 42.0811234 42.5743866 43.0776711 43.5893326 44.1015091 44.727951 45.4034195 46.1594048 47.0114899 47.7918243 48.6045914 49.7177429 51.015625 52.5611801 54.4152298 56.7461433 59.7436409 64.5378113 73.4166183 215.827057 ------------------------------ Transdef: Tab for variable 4 10.0006914 10.1210308 10.2807808 10.3941288 10.5030098 10.6206837 10.7611485 10.8944416 11.0317841 11.1805725 11.3443642 11.4954739 11.6391783 11.7963629 11.9355793 12.0830288 12.226656 12.3807039 12.5441036 12.7058163 12.8444614 13.0290298 13.2049866 13.3814945 13.5375538 13.6925573 13.8679981 14.025671 14.2171545 14.4173927 14.649332 14.8631086 15.084465 15.2827625 15.4963245 15.737854 15.9178085 16.1584625 16.4037247 16.6453094 16.859211 17.0878029 17.3739567 17.6414108 17.9002762 18.0901756 18.3588791 18.6458244 18.939106 19.1830406 19.4679604 19.7681541 20.0559711 20.2862129 20.5416679 20.8121643 21.0790787 21.3730125 21.676651 21.9338226 22.1414223 22.4368649 22.7301865 23.0010586 23.3137646 23.6077518 23.917202 24.2292252 24.5574989 24.8677826 25.198082 25.528862 25.8602619 26.1961517 26.5282211 26.8904362 27.2356205 27.6128273 27.9870605 28.3225536 28.6871071 29.0618362 29.4369926 29.8632202 30.2721062 30.7288227 31.177578 31.6551399 32.1338463 32.6672783 33.2512474 33.8468666 34.5045128 35.2867622 36.1304626 37.1643066 38.3788834 40.2472687 43.1700859 48.347229 102.012222 ------------------------------ Transdef: Tab for variable 5 1.16495693 2.66208839 3.11766434 3.46218681 3.72762871 3.96009445 4.12016344 4.23234653 4.36661816 4.48867512 4.59972382 4.69186401 4.7771616 4.85991192 4.94045353 5.01508904 5.10125732 5.16003895 5.22935104 5.28661537 5.35087204 5.41479874 5.46646309 5.52130508 5.57148457 5.62728262 5.67607689 5.72376919 5.7716608 5.81843281 5.86428499 5.90979099 5.95293808 5.99568987 6.04467773 6.09190369 6.13191175 6.18071127 6.22308922 6.26582336 6.30984163 6.35308695 6.39982414 6.44579315 6.4933939 6.5342598 6.57849121 6.62223577 6.66665554 6.71705723 6.76165199 6.80817699 6.85277414 6.89062548 6.93963242 6.98412943 7.03052664 7.07881641 7.12268353 7.17116165 7.21842718 7.27260923 7.32300377 7.3757863 7.42688084 7.47893333 7.51893473 7.56768036 7.62454796 7.67912197 7.73919678 7.79958582 7.85990524 7.91597271 7.9734621 8.0277729 8.08318901 8.13473129 8.1865387 8.23936081 8.30178833 8.36393356 8.42807579 8.49199963 8.56680298 8.64707088 8.72912502 8.80901718 8.89881897 8.98759079 9.0875988 9.20118427 9.32574654 9.46135521 9.62265968 9.81810284 10.0656528 10.4312592 10.9578667 11.9506226 23.5595493 ------------------------------ Transdef: Tab for variable 6 15.0020647 21.4466 25.506443 26.7478409 27.791851 28.8051319 29.6296959 30.4837704 31.1580944 31.7537041 32.3046303 32.8996735 33.4319382 33.8860931 34.4197693 34.8024979 35.1998863 35.6277542 36.0053635 36.4033432 36.7758522 37.1772461 37.5958824 37.9853935 38.3473549 38.6805191 39.0862732 39.4370575 39.8104286 40.1724472 40.5238075 40.9383965 41.3689423 41.7802048 42.2339859 42.6994629 43.1389542 43.5777054 44.1130524 44.5994644 45.1727295 45.6569672 46.1676712 46.7954674 47.3579102 47.8942871 48.4574852 49.1276932 49.8386345 50.4436264 51.0355606 51.7868652 52.4748306 53.1874123 53.8849945 54.5330429 55.2248611 55.8977928 56.6385231 57.2851067 57.975563 58.5355301 59.2378311 60.0112 60.7450867 61.4566231 62.1137619 62.837677 63.5784988 64.2687683 65.0146027 65.7177277 66.4017715 67.090332 67.7882233 68.5412979 69.2802582 69.9755554 70.7071533 71.4487 72.1863785 72.9706879 73.7435455 74.5925674 75.5053101 76.4008484 77.0585327 78.1057281 79.2479401 80.5044632 82.0037842 83.4539032 85.2625122 87.5456238 90.1675415 93.2334595 97.1439133 101.912033 110.069672 123.10685 280.646332 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.7601395 33.7252312 34.5149918 35.0706177 35.5661469 36.04953 36.5463638 36.9130287 37.2918282 37.654953 38.024231 38.2929649 38.6163788 38.91502 39.2475891 39.5925903 39.9436913 40.236496 40.5485611 40.9748993 41.3367615 41.7372665 42.1741714 42.6175385 43.0534515 43.6136208 44.3091049 44.9044914 45.4661407 46.1760902 47.0468216 47.8321114 48.564724 49.3951035 50.3954315 51.3463898 52.2879944 53.1021156 54.0208817 54.9706421 55.8841133 56.7699089 57.570507 58.4346619 59.2484055 60.089447 60.9223404 61.5263824 62.3630524 63.1499901 63.9834938 64.766037 65.507431 66.3729401 67.1817169 68.0562363 68.8523407 69.6540375 70.5016479 71.3275757 72.1476135 72.9929581 73.7979279 74.6762543 75.688858 76.6590729 77.6984863 78.8526611 80.0888214 81.5139923 82.9327011 84.4758148 85.9830933 87.4520721 89.0642471 90.7182465 92.4666138 94.2069855 95.9852676 97.9639053 99.9824982 102.09626 104.490929 106.632904 109.343651 111.92746 114.876846 118.151886 121.7155 125.498787 129.49501 134.232391 139.699738 146.15036 154.013428 164.361328 177.046417 196.990433 240.871521 560.43103 ------------------------------ Transdef: Tab for variable 8 2.8272841 25.0991745 29.3627663 31.1669197 32.2228661 32.9540024 33.5964737 34.062561 34.4686356 34.8886986 35.2827377 35.6796112 36.0513077 36.4152794 36.6943474 36.9966202 37.3083076 37.5882263 37.8410912 38.1251297 38.4285049 38.7116318 38.9892998 39.2964859 39.5817795 39.8615494 40.1623611 40.4802856 40.8385963 41.166832 41.5018539 41.9216385 42.3620605 42.6920929 43.0873184 43.6317291 44.1035385 44.5487137 45.0422134 45.4924889 46.1145477 46.6679611 47.2669258 47.8503799 48.4102402 49.0461845 49.6319122 50.2840881 50.9228821 51.5130386 52.2234993 52.8739471 53.5323486 54.1530495 54.8365936 55.4543686 56.1232605 56.7920074 57.4244766 58.076416 58.6956444 59.3168182 59.9310837 60.5497055 61.0991402 61.6650696 62.3276443 62.9283562 63.5681 64.2476654 64.8755646 65.5371094 66.1809082 66.8199463 67.4864349 68.1665192 68.8720398 69.5400696 70.2987976 71.003418 71.779892 72.5194855 73.2580414 74.0633545 74.8974609 75.8180923 76.8152313 77.9120255 79.0116119 80.4498291 81.9303436 83.8361206 85.889267 88.2321167 91.1556015 94.6691742 99.0065231 105.338226 114.454926 134.454712 348.466034 ------------------------------ Transdef: Tab for variable 9 48.8581314 63.1911316 65.2028809 66.8889618 68.2411118 69.2193832 70.2069702 71.0384216 71.834549 72.6055069 73.3263626 74.0323792 74.6454163 75.183136 75.8115463 76.4389648 77.0461578 77.7266541 78.3181152 78.8506775 79.46315 79.9824295 80.6371307 81.1474609 81.7899094 82.4750519 83.0503845 83.6949005 84.5714111 85.4066391 86.2076416 87.216568 88.1070404 88.8898773 89.8192444 90.90065 91.9998169 93.2106323 94.4342346 95.446434 96.8080139 98.080452 99.1997833 100.437042 101.650894 102.865372 104.170822 105.472656 106.573349 107.803482 109.042023 110.280174 111.596176 112.818466 114.136902 115.310005 116.446365 117.581169 118.760788 119.717468 120.779205 121.882843 123.088043 124.271973 125.370636 126.545776 127.622742 128.689667 129.746826 130.887756 131.967285 133.028015 134.09494 135.101318 136.159973 137.19812 138.27449 139.225784 140.304291 141.301849 142.391571 143.455353 144.581146 145.657074 146.769806 147.918594 149.053467 150.285202 151.486389 152.813293 154.114563 155.769348 157.445328 159.449097 161.817062 164.753098 168.748993 175.664307 187.98526 220.38681 582.80835 ------------------------------ Transdef: Tab for variable 10 0.0050833188 0.930059493 1.292454 1.55203474 1.71819997 1.85074353 1.95463312 2.04865789 2.12347746 2.19180775 2.25125957 2.30467558 2.34952259 2.38845587 2.42573476 2.46348667 2.49491215 2.52714777 2.55831623 2.58687115 2.61231279 2.63448143 2.65734816 2.67713833 2.69786024 2.71627474 2.73481417 2.75143003 2.76881075 2.78352833 2.79837036 2.81349468 2.82678843 2.83948469 2.84896421 2.85768652 2.86719847 2.87776566 2.88788414 2.89729238 2.90581226 2.91375399 2.92142344 2.92878675 2.93694663 2.94472623 2.95195675 2.95850301 2.96486092 2.97044945 2.97621298 2.98194385 2.98626351 2.99152565 2.99672985 3.00231838 3.00663161 3.01168251 3.01597667 3.02048016 3.02455282 3.02871752 3.03261518 3.03664017 3.04015064 3.04362345 3.04762006 3.05137825 3.05496526 3.05833673 3.06159401 3.06494474 3.06799507 3.07086992 3.07376099 3.07696295 3.08019161 3.08314681 3.08608913 3.0889082 3.09181237 3.09463477 3.09737945 3.10018992 3.10267162 3.10506964 3.10796142 3.1100471 3.11284494 3.11545014 3.11801624 3.12085152 3.12333298 3.12589788 3.12845635 3.13047743 3.13218784 3.13432455 3.13677931 3.13907504 3.1415925 ------------------------------ Transdef: Tab for variable 11 2.86871432E-06 0.00561571121 0.011274578 0.017238915 0.0233844519 0.0288920403 0.0349051952 0.0413992852 0.0470746011 0.0532267094 0.0585344955 0.0642088652 0.0712682977 0.0768935978 0.0832098126 0.0894161463 0.0948756337 0.100205109 0.105567813 0.109966159 0.114924252 0.120273352 0.125745669 0.130821124 0.136378318 0.141462207 0.146459222 0.152148739 0.157359511 0.162453175 0.167457998 0.17288214 0.177784383 0.183312923 0.187833041 0.193274975 0.198744476 0.204709411 0.209838271 0.215030789 0.220585406 0.225909233 0.231305122 0.236974925 0.241927147 0.247279406 0.253207147 0.258661866 0.263593435 0.268939137 0.274744987 0.279934645 0.285658121 0.291234732 0.296805918 0.302872658 0.308770895 0.31427002 0.320239782 0.326512694 0.33273685 0.338663757 0.345199168 0.351051748 0.3579624 0.363539934 0.370539546 0.377361268 0.383519113 0.38994199 0.396584272 0.402700126 0.409690559 0.415558338 0.422096014 0.429592729 0.436411381 0.4436993 0.450634837 0.458938003 0.467626095 0.475926518 0.485702515 0.496337175 0.506429553 0.517538667 0.5273 0.539782643 0.548885226 0.559865475 0.573400378 0.590064526 0.605554283 0.622622967 0.638367057 0.657429695 0.685311675 0.717013717 0.765324175 0.826888204 1.12674999 ------------------------------ Transdef: Tab for variable 12 0.100032367 0.119274899 0.137457773 0.150330633 0.161371157 0.170893073 0.181148887 0.191574395 0.200275421 0.208785966 0.216310352 0.224727273 0.232125014 0.239392027 0.246454284 0.25345701 0.260311723 0.267325908 0.273634404 0.280893803 0.286953896 0.293468177 0.30003345 0.306643486 0.312214792 0.31861496 0.324648142 0.330610126 0.33712393 0.343313038 0.348950744 0.354695439 0.360284507 0.366242945 0.372039318 0.378009498 0.383772314 0.389434338 0.395089209 0.400154173 0.404233515 0.408979714 0.412984788 0.416995615 0.420713395 0.424616456 0.428959012 0.433433712 0.437514335 0.441094995 0.445032358 0.449128985 0.453322798 0.457730353 0.46134156 0.465784073 0.470295012 0.475025594 0.478198916 0.482500136 0.486807078 0.49199748 0.496829301 0.502529502 0.507952452 0.512477219 0.518130541 0.523798287 0.529256046 0.535412669 0.541181922 0.547426462 0.551964402 0.558223724 0.56397295 0.570229471 0.577001154 0.583426118 0.591065347 0.598329842 0.606024921 0.614811659 0.623140216 0.62972939 0.638319135 0.648818672 0.658479929 0.66772294 0.6782372 0.68767333 0.700853348 0.713835418 0.725112617 0.740130663 0.75400722 0.772599697 0.794102013 0.819176197 0.851858616 0.892567635 1.13469779 ------------------------------ Transdef: Tab for variable 13 20.0361443 21.4793396 22.3690605 23.0998535 23.7145424 24.2006683 24.7593498 25.1814194 25.5634117 26.0317116 26.4542332 26.8969421 27.2436867 27.6117458 27.9901657 28.4140511 28.7793045 29.1417923 29.4749641 29.7859859 30.0915375 30.4315491 30.747366 31.0103683 31.3371181 31.6648712 31.9872131 32.3245926 32.5924377 32.9585495 33.3109169 33.6485825 33.9654045 34.296566 34.5718765 34.8923645 35.1837158 35.5083084 35.8445358 36.1527138 36.4774094 36.8242836 37.1937714 37.5360718 37.8809891 38.2100601 38.5451584 38.8694382 39.221138 39.5555038 39.8925629 40.2474594 40.6041679 40.9325256 41.2975845 41.7253113 42.142601 42.5460739 42.9049606 43.3135071 43.6649399 44.0569611 44.5005646 44.9393234 45.4191742 45.9119415 46.4176712 46.8875427 47.3468246 47.7883759 48.2871704 48.828186 49.3766022 50.0172119 50.6392288 51.1911888 51.8703957 52.5127029 53.2649422 54.05476 54.8144913 55.6112061 56.5605011 57.4434586 58.4830399 59.5716171 60.8132591 62.0247688 63.457859 64.862442 66.5957336 68.1420746 69.8262329 72.2344971 75.0777664 78.1521606 82.1189117 86.8562851 92.169754 104.249893 394.478912 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7523108 11.1815319 11.5654354 11.9218454 12.2947483 12.5245972 12.8377609 13.1714201 13.4804535 13.7144365 13.9683685 14.2833481 14.5401516 14.8520832 15.1500683 15.4710836 15.7338524 15.9766884 16.2761612 16.5631523 16.7990036 17.1033211 17.4462395 17.7299652 18.0035744 18.2910385 18.5986595 18.854496 19.1243896 19.4316921 19.7168865 20.0087738 20.2952652 20.6060886 20.9227333 21.2228165 21.5288658 21.776165 22.0821228 22.3634605 22.6663055 22.9826202 23.2762604 23.5723419 23.8680897 24.1714172 24.4731274 24.7572403 25.0764732 25.389904 25.6436958 25.9750786 26.2955647 26.6168137 26.9768658 27.2723732 27.5797577 27.8950119 28.1161938 28.4446678 28.7738647 29.0991478 29.42663 29.7767754 30.1394157 30.4733963 30.8593121 31.2203064 31.5739288 31.9388008 32.3343124 32.7355194 33.1473923 33.4546814 33.9185524 34.3577766 34.748291 35.2028389 35.6835327 36.1728516 36.6494141 37.2012024 37.7569656 38.321846 38.9635086 39.6081161 40.3333435 41.0872879 41.8764343 42.7746201 43.6516991 44.7783127 46.0444031 47.5420189 49.2808609 51.3993187 54.3363571 58.5369606 65.9461212 129.212753 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 62.4 46.8 53.7 25.0 46.7 60.4 51.3 60.7 -24.6 -12.2 -23.5 15.4 31.6 2 62.4 100.0 66.3 62.0 33.6 68.0 94.7 74.7 92.1 -45.5 -19.6 -35.7 35.8 41.5 3 46.8 66.3 100.0 48.9 7.2 33.4 69.6 53.7 72.0 -15.8 -23.9 -41.4 67.1 32.6 4 53.7 62.0 48.9 100.0 14.8 38.3 62.6 53.0 68.8 -12.1 -26.9 -48.8 25.4 76.6 5 25.0 33.6 7.2 14.8 100.0 83.0 7.2 56.2 54.6 22.4 -5.2 -7.4 -3.4 6.8 6 46.7 68.0 33.4 38.3 83.0 100.0 47.8 78.3 78.7 -7.4 -13.1 -21.7 12.4 23.5 7 60.4 94.7 69.6 62.6 7.2 47.8 100.0 67.1 81.3 -53.2 -18.5 -35.2 40.4 43.1 8 51.3 74.7 53.7 53.0 56.2 78.3 67.1 100.0 82.9 -12.0 -19.8 -32.4 28.8 36.0 9 60.7 92.1 72.0 68.8 54.6 78.7 81.3 82.9 100.0 -22.0 -23.4 -41.9 40.5 47.5 10 -24.6 -45.5 -15.8 -12.1 22.4 -7.4 -53.2 -12.0 -22.0 100.0 0.0 3.9 -6.5 -5.9 11 -12.2 -19.6 -23.9 -26.9 -5.2 -13.1 -18.5 -19.8 -23.4 0.0 100.0 59.7 -8.8 -17.2 12 -23.5 -35.7 -41.4 -48.8 -7.4 -21.7 -35.2 -32.4 -41.9 3.9 59.7 100.0 -16.6 -27.9 13 15.4 35.8 67.1 25.4 -3.4 12.4 40.4 28.8 40.5 -6.5 -8.8 -16.6 100.0 50.2 14 31.6 41.5 32.6 76.6 6.8 23.5 43.1 36.0 47.5 -5.9 -17.2 -27.9 50.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 155.862632 TOTAL CORRELATION OF ALL VARIABLES 69.7518323 ROUND 1: MAX CORR ( 69.7504225) AFTER KILLING INPUT VARIABLE 14 CONTR 0.443469558 ROUND 2: MAX CORR ( 69.7489555) AFTER KILLING INPUT VARIABLE 8 CONTR 0.45237199 ROUND 3: MAX CORR ( 69.7419916) AFTER KILLING INPUT VARIABLE 11 CONTR 0.985602618 ROUND 4: MAX CORR ( 69.661483) AFTER KILLING INPUT VARIABLE 10 CONTR 3.35010012 ROUND 5: MAX CORR ( 69.48284) AFTER KILLING INPUT VARIABLE 6 CONTR 4.98569509 ROUND 6: MAX CORR ( 69.2331267) AFTER KILLING INPUT VARIABLE 2 CONTR 5.88551049 ROUND 7: MAX CORR ( 68.7795967) AFTER KILLING INPUT VARIABLE 12 CONTR 7.9115679 ROUND 8: MAX CORR ( 67.8849015) AFTER KILLING INPUT VARIABLE 9 CONTR 11.0577154 ROUND 9: MAX CORR ( 66.824913) AFTER KILLING INPUT VARIABLE 3 CONTR 11.9495125 ROUND 10: MAX CORR ( 66.2749397) AFTER KILLING INPUT VARIABLE 13 CONTR 8.55577957 ROUND 11: MAX CORR ( 63.8061497) AFTER KILLING INPUT VARIABLE 4 CONTR 17.9204603 ROUND 12: MAX CORR ( 60.3685969) AFTER KILLING INPUT VARIABLE 5 CONTR 20.6605238 LAST REMAINING VARIABLE: 7 total correlation to target: 69.7518323 % total significance: 148.158722 sigma correlations of single variables to target: variable 2: 62.4499634 % , in sigma: 132.648942 variable 3: 46.8099144 % , in sigma: 99.4281709 variable 4: 53.744255 % , in sigma: 114.15729 variable 5: 24.9726939 % , in sigma: 53.0440892 variable 6: 46.7277249 % , in sigma: 99.2535935 variable 7: 60.3685969 % , in sigma: 128.227946 variable 8: 51.3264093 % , in sigma: 109.021584 variable 9: 60.7132944 % , in sigma: 128.960112 variable 10: -24.6466488 % , in sigma: 52.3515422 variable 11: -12.1627492 % , in sigma: 25.8346959 variable 12: -23.4894491 % , in sigma: 49.8935534 variable 13: 15.4329004 % , in sigma: 32.7807704 variable 14: 31.56332 % , in sigma: 67.04313 variables sorted by significance: 1 most relevant variable 7 corr 60.3685951 , in sigma: 128.227942 2 most relevant variable 5 corr 20.6605244 , in sigma: 43.8846807 3 most relevant variable 4 corr 17.9204597 , in sigma: 38.0645544 4 most relevant variable 13 corr 8.55577946 , in sigma: 18.1731907 5 most relevant variable 3 corr 11.9495125 , in sigma: 25.3817633 6 most relevant variable 9 corr 11.0577154 , in sigma: 23.4875118 7 most relevant variable 12 corr 7.91156769 , in sigma: 16.8048311 8 most relevant variable 2 corr 5.88551044 , in sigma: 12.5013161 9 most relevant variable 6 corr 4.98569489 , in sigma: 10.5900327 10 most relevant variable 10 corr 3.35010004 , in sigma: 7.11589251 11 most relevant variable 11 corr 0.985602617 , in sigma: 2.09350234 12 most relevant variable 8 corr 0.452371985 , in sigma: 0.960875908 13 most relevant variable 14 corr 0.443469554 , in sigma: 0.941966401 global correlations between input variables: variable 2: 99.199294 % variable 3: 93.023806 % variable 4: 92.9870345 % variable 5: 95.0840008 % variable 6: 94.3153967 % variable 7: 98.7768327 % variable 8: 89.5880588 % variable 9: 98.8571998 % variable 10: 71.5032873 % variable 11: 60.5079212 % variable 12: 71.4776136 % variable 13: 86.4281979 % variable 14: 89.9082089 % significance loss when removing single variables: variable 2: corr = 3.96879945 % , sigma = 8.43006177 variable 3: corr = 16.5594187 % , sigma = 35.1735895 variable 4: corr = 15.5197181 % , sigma = 32.9651784 variable 5: corr = 10.3289231 % , sigma = 21.939496 variable 6: corr = 4.61068053 % , sigma = 9.79347083 variable 7: corr = 5.28378683 % , sigma = 11.2232049 variable 8: corr = 0.453007781 % , sigma = 0.962226391 variable 9: corr = 11.2160563 % , sigma = 23.8238411 variable 10: corr = 3.22174924 % , sigma = 6.84326469 variable 11: corr = 0.919291355 % , sigma = 1.95265168 variable 12: corr = 6.280427 % , sigma = 13.3401519 variable 13: corr = 9.47538716 % , sigma = 20.1265143 variable 14: corr = 0.443469558 % , sigma = 0.94196641 Keep only 10 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 11 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 15.4468517 sigma out 15 active outputs RANK 2 NODE 8 --> 14.5308323 sigma out 15 active outputs RANK 3 NODE 5 --> 14.0168953 sigma out 15 active outputs RANK 4 NODE 9 --> 13.4333773 sigma out 15 active outputs RANK 5 NODE 2 --> 12.9312954 sigma out 15 active outputs RANK 6 NODE 6 --> 11.5960779 sigma out 15 active outputs RANK 7 NODE 7 --> 11.5280237 sigma out 15 active outputs RANK 8 NODE 3 --> 10.673089 sigma out 15 active outputs RANK 9 NODE 11 --> 10.3215532 sigma out 15 active outputs RANK 10 NODE 1 --> 8.95605373 sigma out 15 active outputs RANK 11 NODE 10 --> 8.64895725 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 23.4624062 sigma in 11act. ( 22.4032688 sig out 1act.) RANK 2 NODE 2 --> 15.9904633 sigma in 11act. ( 17.372366 sig out 1act.) RANK 3 NODE 9 --> 11.4473667 sigma in 11act. ( 11.4913778 sig out 1act.) RANK 4 NODE 14 --> 10.9363413 sigma in 11act. ( 3.9257443 sig out 1act.) RANK 5 NODE 4 --> 9.62356377 sigma in 11act. ( 4.60103321 sig out 1act.) RANK 6 NODE 8 --> 9.43288136 sigma in 11act. ( 8.67823315 sig out 1act.) RANK 7 NODE 12 --> 8.8878088 sigma in 11act. ( 12.6545553 sig out 1act.) RANK 8 NODE 13 --> 8.40276623 sigma in 11act. ( 8.70840263 sig out 1act.) RANK 9 NODE 11 --> 8.18067932 sigma in 11act. ( 10.8197718 sig out 1act.) RANK 10 NODE 1 --> 7.62695265 sigma in 11act. ( 8.28654003 sig out 1act.) RANK 11 NODE 10 --> 6.65812445 sigma in 11act. ( 8.84531975 sig out 1act.) RANK 12 NODE 5 --> 5.57007647 sigma in 11act. ( 0.325622022 sig out 1act.) RANK 13 NODE 7 --> 5.27261019 sigma in 11act. ( 5.16063404 sig out 1act.) RANK 14 NODE 6 --> 3.87296534 sigma in 11act. ( 0.288518876 sig out 1act.) RANK 15 NODE 3 --> 2.33644652 sigma in 11act. ( 1.34170794 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 22.4032688 sigma out 1act.( 23.4624062 sig in 11act.) RANK 2 NODE 2 --> 17.372366 sigma out 1act.( 15.9904633 sig in 11act.) RANK 3 NODE 12 --> 12.6545553 sigma out 1act.( 8.8878088 sig in 11act.) RANK 4 NODE 9 --> 11.4913778 sigma out 1act.( 11.4473667 sig in 11act.) RANK 5 NODE 11 --> 10.8197718 sigma out 1act.( 8.18067932 sig in 11act.) RANK 6 NODE 10 --> 8.84531975 sigma out 1act.( 6.65812445 sig in 11act.) RANK 7 NODE 13 --> 8.70840263 sigma out 1act.( 8.40276623 sig in 11act.) RANK 8 NODE 8 --> 8.67823315 sigma out 1act.( 9.43288136 sig in 11act.) RANK 9 NODE 1 --> 8.28654003 sigma out 1act.( 7.62695265 sig in 11act.) RANK 10 NODE 7 --> 5.16063404 sigma out 1act.( 5.27261019 sig in 11act.) RANK 11 NODE 4 --> 4.60103321 sigma out 1act.( 9.62356377 sig in 11act.) RANK 12 NODE 14 --> 3.9257443 sigma out 1act.( 10.9363413 sig in 11act.) RANK 13 NODE 3 --> 1.34170794 sigma out 1act.( 2.33644652 sig in 11act.) RANK 14 NODE 5 --> 0.325622022 sigma out 1act.( 5.57007647 sig in 11act.) RANK 15 NODE 6 --> 0.288518876 sigma out 1act.( 3.87296534 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 39.7016335 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 22.8175259 sigma out 15 active outputs RANK 2 NODE 4 --> 16.3589821 sigma out 15 active outputs RANK 3 NODE 8 --> 15.4665966 sigma out 15 active outputs RANK 4 NODE 5 --> 14.3488274 sigma out 15 active outputs RANK 5 NODE 1 --> 12.6465836 sigma out 15 active outputs RANK 6 NODE 2 --> 12.4735737 sigma out 15 active outputs RANK 7 NODE 6 --> 12.0997744 sigma out 15 active outputs RANK 8 NODE 7 --> 11.9127026 sigma out 15 active outputs RANK 9 NODE 3 --> 11.0665331 sigma out 15 active outputs RANK 10 NODE 10 --> 10.6948204 sigma out 15 active outputs RANK 11 NODE 11 --> 10.3947611 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 22.763916 sigma in 11act. ( 20.3913746 sig out 1act.) RANK 2 NODE 2 --> 18.0486469 sigma in 11act. ( 16.3360291 sig out 1act.) RANK 3 NODE 12 --> 16.3539963 sigma in 11act. ( 13.3019247 sig out 1act.) RANK 4 NODE 11 --> 13.669632 sigma in 11act. ( 11.593895 sig out 1act.) RANK 5 NODE 10 --> 11.5979767 sigma in 11act. ( 9.13192081 sig out 1act.) RANK 6 NODE 9 --> 11.0847883 sigma in 11act. ( 10.7819414 sig out 1act.) RANK 7 NODE 4 --> 9.94755745 sigma in 11act. ( 3.69639683 sig out 1act.) RANK 8 NODE 1 --> 9.91649723 sigma in 11act. ( 7.99541473 sig out 1act.) RANK 9 NODE 14 --> 9.87962723 sigma in 11act. ( 4.99053478 sig out 1act.) RANK 10 NODE 13 --> 8.99043274 sigma in 11act. ( 7.81874323 sig out 1act.) RANK 11 NODE 8 --> 8.86154461 sigma in 11act. ( 8.05269623 sig out 1act.) RANK 12 NODE 7 --> 7.54596519 sigma in 11act. ( 5.22210407 sig out 1act.) RANK 13 NODE 5 --> 7.14189863 sigma in 11act. ( 1.16167688 sig out 1act.) RANK 14 NODE 3 --> 6.04316425 sigma in 11act. ( 1.37725186 sig out 1act.) RANK 15 NODE 6 --> 5.26628494 sigma in 11act. ( 1.54075992 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 20.3913746 sigma out 1act.( 22.763916 sig in 11act.) RANK 2 NODE 2 --> 16.3360291 sigma out 1act.( 18.0486469 sig in 11act.) RANK 3 NODE 12 --> 13.3019247 sigma out 1act.( 16.3539963 sig in 11act.) RANK 4 NODE 11 --> 11.593895 sigma out 1act.( 13.669632 sig in 11act.) RANK 5 NODE 9 --> 10.7819414 sigma out 1act.( 11.0847883 sig in 11act.) RANK 6 NODE 10 --> 9.13192081 sigma out 1act.( 11.5979767 sig in 11act.) RANK 7 NODE 8 --> 8.05269623 sigma out 1act.( 8.86154461 sig in 11act.) RANK 8 NODE 1 --> 7.99541473 sigma out 1act.( 9.91649723 sig in 11act.) RANK 9 NODE 13 --> 7.81874323 sigma out 1act.( 8.99043274 sig in 11act.) RANK 10 NODE 7 --> 5.22210407 sigma out 1act.( 7.54596519 sig in 11act.) RANK 11 NODE 14 --> 4.99053478 sigma out 1act.( 9.87962723 sig in 11act.) RANK 12 NODE 4 --> 3.69639683 sigma out 1act.( 9.94755745 sig in 11act.) RANK 13 NODE 6 --> 1.54075992 sigma out 1act.( 5.26628494 sig in 11act.) RANK 14 NODE 3 --> 1.37725186 sigma out 1act.( 6.04316425 sig in 11act.) RANK 15 NODE 5 --> 1.16167688 sigma out 1act.( 7.14189863 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 38.1449928 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.405887365 *** contribution from regularisation: 0.00370964874 *** contribution from error: -0.409597009 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.462183774 *** contribution from regularisation: 0.00196007919 *** contribution from error: -0.464143842 *********************************************** -----------------> Test sample ENTER BFGS code START -47386.398 0.403754234 0.783132493 EXIT FROM BFGS code FG_START 0. 0.403754234 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.491301835 *** contribution from regularisation: 0.00210904609 *** contribution from error: -0.493410885 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -50360.8956 0.403754234 273.501617 EXIT FROM BFGS code FG_LNSRCH 0. 0.440398604 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.529466271 *** contribution from regularisation: 0.00314786355 *** contribution from error: -0.532614112 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54272.9424 0.440398604 168.278748 EXIT FROM BFGS code NEW_X -54272.9424 0.440398604 168.278748 ENTER BFGS code NEW_X -54272.9424 0.440398604 168.278748 EXIT FROM BFGS code FG_LNSRCH 0. 0.465147913 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.533459842 *** contribution from regularisation: 0.00314347586 *** contribution from error: -0.536603332 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54682.2998 0.465147913 58.3373489 EXIT FROM BFGS code NEW_X -54682.2998 0.465147913 58.3373489 ENTER BFGS code NEW_X -54682.2998 0.465147913 58.3373489 EXIT FROM BFGS code FG_LNSRCH 0. 0.479530513 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.535716414 *** contribution from regularisation: 0.00299895485 *** contribution from error: -0.538715363 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54913.6083 0.479530513 -19.4867229 EXIT FROM BFGS code NEW_X -54913.6083 0.479530513 -19.4867229 ENTER BFGS code NEW_X -54913.6083 0.479530513 -19.4867229 EXIT FROM BFGS code FG_LNSRCH 0. 0.47664845 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.536417186 *** contribution from regularisation: 0.00284056598 *** contribution from error: -0.539257765 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54985.4415 0.47664845 -35.2015915 EXIT FROM BFGS code NEW_X -54985.4415 0.47664845 -35.2015915 ENTER BFGS code NEW_X -54985.4415 0.47664845 -35.2015915 EXIT FROM BFGS code FG_LNSRCH 0. 0.462148339 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.53745997 *** contribution from regularisation: 0.00280619459 *** contribution from error: -0.540266156 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55092.3321 0.462148339 -43.9057732 EXIT FROM BFGS code NEW_X -55092.3321 0.462148339 -43.9057732 ENTER BFGS code NEW_X -55092.3321 0.462148339 -43.9057732 EXIT FROM BFGS code FG_LNSRCH 0. 0.41899851 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.539051414 *** contribution from regularisation: 0.00295174448 *** contribution from error: -0.542003155 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55255.4663 0.41899851 -41.6567345 EXIT FROM BFGS code NEW_X -55255.4663 0.41899851 -41.6567345 ENTER BFGS code NEW_X -55255.4663 0.41899851 -41.6567345 EXIT FROM BFGS code FG_LNSRCH 0. 0.337303311 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 45.5121651 sigma out 15 active outputs RANK 2 NODE 10 --> 26.0993557 sigma out 15 active outputs RANK 3 NODE 2 --> 24.8200874 sigma out 15 active outputs RANK 4 NODE 11 --> 22.6689644 sigma out 15 active outputs RANK 5 NODE 1 --> 21.9207935 sigma out 15 active outputs RANK 6 NODE 8 --> 21.2549419 sigma out 15 active outputs RANK 7 NODE 4 --> 21.1163101 sigma out 15 active outputs RANK 8 NODE 5 --> 21.0412312 sigma out 15 active outputs RANK 9 NODE 7 --> 17.4992371 sigma out 15 active outputs RANK 10 NODE 6 --> 15.4843349 sigma out 15 active outputs RANK 11 NODE 3 --> 12.7004786 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 38.1654625 sigma in 11act. ( 34.0723419 sig out 1act.) RANK 2 NODE 14 --> 34.4036713 sigma in 11act. ( 30.731554 sig out 1act.) RANK 3 NODE 12 --> 31.7651577 sigma in 11act. ( 34.1412659 sig out 1act.) RANK 4 NODE 11 --> 22.1814327 sigma in 11act. ( 19.0821915 sig out 1act.) RANK 5 NODE 8 --> 21.3231716 sigma in 11act. ( 23.64921 sig out 1act.) RANK 6 NODE 2 --> 21.003521 sigma in 11act. ( 21.6179867 sig out 1act.) RANK 7 NODE 6 --> 20.3440361 sigma in 11act. ( 17.0805225 sig out 1act.) RANK 8 NODE 5 --> 17.2785282 sigma in 11act. ( 16.4953194 sig out 1act.) RANK 9 NODE 10 --> 13.4645824 sigma in 11act. ( 10.8116112 sig out 1act.) RANK 10 NODE 1 --> 12.4338312 sigma in 11act. ( 11.9405842 sig out 1act.) RANK 11 NODE 7 --> 9.49832344 sigma in 11act. ( 7.14073515 sig out 1act.) RANK 12 NODE 3 --> 8.4386158 sigma in 11act. ( 7.57693529 sig out 1act.) RANK 13 NODE 13 --> 8.13481617 sigma in 11act. ( 6.71907473 sig out 1act.) RANK 14 NODE 9 --> 8.1281271 sigma in 11act. ( 7.41020679 sig out 1act.) RANK 15 NODE 4 --> 5.62081766 sigma in 11act. ( 3.36720729 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 34.1412659 sigma out 1act.( 31.7651577 sig in 11act.) RANK 2 NODE 15 --> 34.0723419 sigma out 1act.( 38.1654625 sig in 11act.) RANK 3 NODE 14 --> 30.731554 sigma out 1act.( 34.4036713 sig in 11act.) RANK 4 NODE 8 --> 23.64921 sigma out 1act.( 21.3231716 sig in 11act.) RANK 5 NODE 2 --> 21.6179867 sigma out 1act.( 21.003521 sig in 11act.) RANK 6 NODE 11 --> 19.0821915 sigma out 1act.( 22.1814327 sig in 11act.) RANK 7 NODE 6 --> 17.0805225 sigma out 1act.( 20.3440361 sig in 11act.) RANK 8 NODE 5 --> 16.4953194 sigma out 1act.( 17.2785282 sig in 11act.) RANK 9 NODE 1 --> 11.9405842 sigma out 1act.( 12.4338312 sig in 11act.) RANK 10 NODE 10 --> 10.8116112 sigma out 1act.( 13.4645824 sig in 11act.) RANK 11 NODE 3 --> 7.57693529 sigma out 1act.( 8.4386158 sig in 11act.) RANK 12 NODE 9 --> 7.41020679 sigma out 1act.( 8.1281271 sig in 11act.) RANK 13 NODE 7 --> 7.14073515 sigma out 1act.( 9.49832344 sig in 11act.) RANK 14 NODE 13 --> 6.71907473 sigma out 1act.( 8.13481617 sig in 11act.) RANK 15 NODE 4 --> 3.36720729 sigma out 1act.( 5.62081766 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 75.5303574 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.538190067 *** contribution from regularisation: 0.00333656534 *** contribution from error: -0.541526616 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -55167.1755 0.337303311 134.815063 EXIT FROM BFGS code FG_LNSRCH 0. 0.387306541 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.540214717 *** contribution from regularisation: 0.0026006077 *** contribution from error: -0.542815328 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55374.711 0.387306541 20.2251167 EXIT FROM BFGS code NEW_X -55374.711 0.387306541 20.2251167 ENTER BFGS code NEW_X -55374.711 0.387306541 20.2251167 EXIT FROM BFGS code FG_LNSRCH 0. 0.367764026 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.540516436 *** contribution from regularisation: 0.00303688203 *** contribution from error: -0.543553293 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55405.6378 0.367764026 18.3067932 EXIT FROM BFGS code NEW_X -55405.6378 0.367764026 18.3067932 ENTER BFGS code NEW_X -55405.6378 0.367764026 18.3067932 EXIT FROM BFGS code FG_LNSRCH 0. 0.36401239 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.540998936 *** contribution from regularisation: 0.00290145283 *** contribution from error: -0.543900371 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55455.0989 0.36401239 0.252010018 EXIT FROM BFGS code NEW_X -55455.0989 0.36401239 0.252010018 ENTER BFGS code NEW_X -55455.0989 0.36401239 0.252010018 EXIT FROM BFGS code FG_LNSRCH 0. 0.356385708 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.541645825 *** contribution from regularisation: 0.00293402513 *** contribution from error: -0.544579864 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55521.4061 0.356385708 22.9764271 EXIT FROM BFGS code NEW_X -55521.4061 0.356385708 22.9764271 ENTER BFGS code NEW_X -55521.4061 0.356385708 22.9764271 EXIT FROM BFGS code FG_LNSRCH 0. 0.388993889 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.54252398 *** contribution from regularisation: 0.00301396428 *** contribution from error: -0.545537949 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55611.4234 0.388993889 -116.441566 EXIT FROM BFGS code NEW_X -55611.4234 0.388993889 -116.441566 ENTER BFGS code NEW_X -55611.4234 0.388993889 -116.441566 EXIT FROM BFGS code FG_LNSRCH 0. 0.374324203 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.543434799 *** contribution from regularisation: 0.00269238395 *** contribution from error: -0.5461272 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55704.7816 0.374324203 49.1401062 EXIT FROM BFGS code NEW_X -55704.7816 0.374324203 49.1401062 ENTER BFGS code NEW_X -55704.7816 0.374324203 49.1401062 EXIT FROM BFGS code FG_LNSRCH 0. 0.3829422 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.543768048 *** contribution from regularisation: 0.00259102113 *** contribution from error: -0.546359062 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55738.941 0.3829422 13.0179443 EXIT FROM BFGS code NEW_X -55738.941 0.3829422 13.0179443 ENTER BFGS code NEW_X -55738.941 0.3829422 13.0179443 EXIT FROM BFGS code FG_LNSRCH 0. 0.391150206 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.543824494 *** contribution from regularisation: 0.00275113387 *** contribution from error: -0.546575606 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55744.7328 0.391150206 7.78608131 EXIT FROM BFGS code NEW_X -55744.7328 0.391150206 7.78608131 ENTER BFGS code NEW_X -55744.7328 0.391150206 7.78608131 EXIT FROM BFGS code FG_LNSRCH 0. 0.399673373 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.544042826 *** contribution from regularisation: 0.00270699617 *** contribution from error: -0.54674983 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55767.1106 0.399673373 -27.2044353 EXIT FROM BFGS code NEW_X -55767.1106 0.399673373 -27.2044353 ENTER BFGS code NEW_X -55767.1106 0.399673373 -27.2044353 EXIT FROM BFGS code FG_LNSRCH 0. 0.40540573 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 50.8102188 sigma out 15 active outputs RANK 2 NODE 2 --> 35.7138405 sigma out 15 active outputs RANK 3 NODE 11 --> 34.78228 sigma out 15 active outputs RANK 4 NODE 5 --> 33.5414505 sigma out 15 active outputs RANK 5 NODE 8 --> 30.4071541 sigma out 15 active outputs RANK 6 NODE 1 --> 29.7504177 sigma out 15 active outputs RANK 7 NODE 4 --> 28.765543 sigma out 15 active outputs RANK 8 NODE 10 --> 25.1924667 sigma out 15 active outputs RANK 9 NODE 6 --> 19.403204 sigma out 15 active outputs RANK 10 NODE 7 --> 18.7116795 sigma out 15 active outputs RANK 11 NODE 3 --> 16.4954281 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 15 --> 54.2320442 sigma in 11act. ( 51.2563553 sig out 1act.) RANK 2 NODE 14 --> 52.6887665 sigma in 11act. ( 49.628994 sig out 1act.) RANK 3 NODE 8 --> 35.5509834 sigma in 11act. ( 39.7467346 sig out 1act.) RANK 4 NODE 2 --> 31.041626 sigma in 11act. ( 34.5994682 sig out 1act.) RANK 5 NODE 12 --> 30.7263622 sigma in 11act. ( 37.6185837 sig out 1act.) RANK 6 NODE 11 --> 25.8019581 sigma in 11act. ( 23.0289593 sig out 1act.) RANK 7 NODE 5 --> 16.4314804 sigma in 11act. ( 17.612112 sig out 1act.) RANK 8 NODE 1 --> 15.6719694 sigma in 11act. ( 16.1246796 sig out 1act.) RANK 9 NODE 6 --> 13.0896053 sigma in 11act. ( 11.6379709 sig out 1act.) RANK 10 NODE 9 --> 9.03250694 sigma in 11act. ( 9.6620388 sig out 1act.) RANK 11 NODE 10 --> 6.96423817 sigma in 11act. ( 4.1862793 sig out 1act.) RANK 12 NODE 3 --> 6.40753889 sigma in 11act. ( 5.16436481 sig out 1act.) RANK 13 NODE 4 --> 4.20315599 sigma in 11act. ( 3.25651693 sig out 1act.) RANK 14 NODE 13 --> 4.11146164 sigma in 11act. ( 1.75089395 sig out 1act.) RANK 15 NODE 7 --> 3.91411853 sigma in 11act. ( 0.127061516 sig out 1act.) sorted by output significance RANK 1 NODE 15 --> 51.2563553 sigma out 1act.( 54.2320442 sig in 11act.) RANK 2 NODE 14 --> 49.628994 sigma out 1act.( 52.6887665 sig in 11act.) RANK 3 NODE 8 --> 39.7467346 sigma out 1act.( 35.5509834 sig in 11act.) RANK 4 NODE 12 --> 37.6185837 sigma out 1act.( 30.7263622 sig in 11act.) RANK 5 NODE 2 --> 34.5994682 sigma out 1act.( 31.041626 sig in 11act.) RANK 6 NODE 11 --> 23.0289593 sigma out 1act.( 25.8019581 sig in 11act.) RANK 7 NODE 5 --> 17.612112 sigma out 1act.( 16.4314804 sig in 11act.) RANK 8 NODE 1 --> 16.1246796 sigma out 1act.( 15.6719694 sig in 11act.) RANK 9 NODE 6 --> 11.6379709 sigma out 1act.( 13.0896053 sig in 11act.) RANK 10 NODE 9 --> 9.6620388 sigma out 1act.( 9.03250694 sig in 11act.) RANK 11 NODE 3 --> 5.16436481 sigma out 1act.( 6.40753889 sig in 11act.) RANK 12 NODE 10 --> 4.1862793 sigma out 1act.( 6.96423817 sig in 11act.) RANK 13 NODE 4 --> 3.25651693 sigma out 1act.( 4.20315599 sig in 11act.) RANK 14 NODE 13 --> 1.75089395 sigma out 1act.( 4.11146164 sig in 11act.) RANK 15 NODE 7 --> 0.127061516 sigma out 1act.( 3.91411853 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 103.293465 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.544325829 *** contribution from regularisation: 0.00278623542 *** contribution from error: -0.547112048 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -55796.118 0.40540573 -55.1587257 EXIT FROM BFGS code NEW_X -55796.118 0.40540573 -55.1587257 ENTER BFGS code NEW_X -55796.118 0.40540573 -55.1587257 EXIT FROM BFGS code FG_LNSRCH 0. 0.376406163 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.543982625 *** contribution from regularisation: 0.00289934222 *** contribution from error: -0.546881974 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55760.9394 0.376406163 89.8579178 EXIT FROM BFGS code FG_LNSRCH 0. 0.393932223 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.544701517 *** contribution from regularisation: 0.00271629915 *** contribution from error: -0.547417819 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55834.6293 0.393932223 -1.97065425 EXIT FROM BFGS code NEW_X -55834.6293 0.393932223 -1.97065425 ENTER BFGS code NEW_X -55834.6293 0.393932223 -1.97065425 EXIT FROM BFGS code FG_LNSRCH 0. 0.386136115 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.544948161 *** contribution from regularisation: 0.00282415235 *** contribution from error: -0.547772288 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55859.9129 0.386136115 -17.7727356 EXIT FROM BFGS code NEW_X -55859.9129 0.386136115 -17.7727356 ENTER BFGS code NEW_X -55859.9129 0.386136115 -17.7727356 EXIT FROM BFGS code FG_LNSRCH 0. 0.374209881 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.545143008 *** contribution from regularisation: 0.0027674078 *** contribution from error: -0.547910392 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55879.8831 0.374209881 13.4991989 EXIT FROM BFGS code NEW_X -55879.8831 0.374209881 13.4991989 ENTER BFGS code NEW_X -55879.8831 0.374209881 13.4991989 EXIT FROM BFGS code FG_LNSRCH 0. 0.354076892 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.54536432 *** contribution from regularisation: 0.0027360192 *** contribution from error: -0.548100352 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55902.5674 0.354076892 -7.0169425 EXIT FROM BFGS code NEW_X -55902.5674 0.354076892 -7.0169425 ENTER BFGS code NEW_X -55902.5674 0.354076892 -7.0169425 EXIT FROM BFGS code FG_LNSRCH 0. 0.331434429 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.545284331 *** contribution from regularisation: 0.00281399768 *** contribution from error: -0.548098326 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55894.3677 0.331434429 83.8205795 EXIT FROM BFGS code FG_LNSRCH 0. 0.346361846 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.545281053 *** contribution from regularisation: 0.002908058 *** contribution from error: -0.548189104 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55894.0352 0.346361846 22.7516193 EXIT FROM BFGS code FG_LNSRCH 0. 0.353040516 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.545264423 *** contribution from regularisation: 0.00285322173 *** contribution from error: -0.548117638 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55892.331 0.353040516 -2.91606164 EXIT FROM BFGS code FG_LNSRCH 0. 0.354049325 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.545253694 *** contribution from regularisation: 0.00284718629 *** contribution from error: -0.548100889 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55891.2325 0.354049325 -6.63388443 EXIT FROM BFGS code FG_LNSRCH 0. 0.354076862 0. --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 57.028904 sigma out 15 active outputs RANK 2 NODE 2 --> 39.4568291 sigma out 15 active outputs RANK 3 NODE 11 --> 37.7281227 sigma out 15 active outputs RANK 4 NODE 1 --> 33.4738808 sigma out 15 active outputs RANK 5 NODE 5 --> 33.2510948 sigma out 15 active outputs RANK 6 NODE 8 --> 29.511837 sigma out 15 active outputs RANK 7 NODE 10 --> 28.5188198 sigma out 15 active outputs RANK 8 NODE 4 --> 27.0584278 sigma out 15 active outputs RANK 9 NODE 7 --> 21.0856323 sigma out 15 active outputs RANK 10 NODE 6 --> 19.15798 sigma out 15 active outputs RANK 11 NODE 3 --> 15.1222095 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 63.0014343 sigma in 11act. ( 56.0141907 sig out 1act.) RANK 2 NODE 15 --> 49.8857346 sigma in 11act. ( 50.6599922 sig out 1act.) RANK 3 NODE 8 --> 36.1387367 sigma in 11act. ( 38.5225945 sig out 1act.) RANK 4 NODE 12 --> 32.8723946 sigma in 11act. ( 38.8954887 sig out 1act.) RANK 5 NODE 2 --> 32.5733757 sigma in 11act. ( 36.156723 sig out 1act.) RANK 6 NODE 11 --> 30.2139015 sigma in 11act. ( 27.0286446 sig out 1act.) RANK 7 NODE 5 --> 19.2018337 sigma in 11act. ( 21.0615883 sig out 1act.) RANK 8 NODE 1 --> 16.1025848 sigma in 11act. ( 17.4974995 sig out 1act.) RANK 9 NODE 6 --> 13.7942972 sigma in 11act. ( 13.7294493 sig out 1act.) RANK 10 NODE 9 --> 11.6701059 sigma in 11act. ( 13.0760202 sig out 1act.) RANK 11 NODE 3 --> 7.6364193 sigma in 11act. ( 6.94360352 sig out 1act.) RANK 12 NODE 10 --> 6.17422819 sigma in 11act. ( 3.46011209 sig out 1act.) RANK 13 NODE 4 --> 4.17481613 sigma in 11act. ( 3.78020215 sig out 1act.) RANK 14 NODE 13 --> 4.13078022 sigma in 11act. ( 2.3109293 sig out 1act.) RANK 15 NODE 7 --> 3.42737865 sigma in 11act. ( 0.267424852 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 56.0141907 sigma out 1act.( 63.0014343 sig in 11act.) RANK 2 NODE 15 --> 50.6599922 sigma out 1act.( 49.8857346 sig in 11act.) RANK 3 NODE 12 --> 38.8954887 sigma out 1act.( 32.8723946 sig in 11act.) RANK 4 NODE 8 --> 38.5225945 sigma out 1act.( 36.1387367 sig in 11act.) RANK 5 NODE 2 --> 36.156723 sigma out 1act.( 32.5733757 sig in 11act.) RANK 6 NODE 11 --> 27.0286446 sigma out 1act.( 30.2139015 sig in 11act.) RANK 7 NODE 5 --> 21.0615883 sigma out 1act.( 19.2018337 sig in 11act.) RANK 8 NODE 1 --> 17.4974995 sigma out 1act.( 16.1025848 sig in 11act.) RANK 9 NODE 6 --> 13.7294493 sigma out 1act.( 13.7942972 sig in 11act.) RANK 10 NODE 9 --> 13.0760202 sigma out 1act.( 11.6701059 sig in 11act.) RANK 11 NODE 3 --> 6.94360352 sigma out 1act.( 7.6364193 sig in 11act.) RANK 12 NODE 4 --> 3.78020215 sigma out 1act.( 4.17481613 sig in 11act.) RANK 13 NODE 10 --> 3.46011209 sigma out 1act.( 6.17422819 sig in 11act.) RANK 14 NODE 13 --> 2.3109293 sigma out 1act.( 4.13078022 sig in 11act.) RANK 15 NODE 7 --> 0.267424852 sigma out 1act.( 3.42737865 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 109.214699 sigma in 15 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.545267701 *** contribution from regularisation: 0.00283264159 *** contribution from error: -0.548100352 *********************************************** -----------------> Test sample Iteration No: 30 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -55892.6631 0.354076862 -6.70155811 EXIT FROM BFGS code FG_LNSRCH 0. 0.354076892 0. --------------------------------------------------- Iteration : 31 *********************************************** *** Learn Path 31 *** loss function: -0.54526943 *** contribution from regularisation: 0.00283090142 *** contribution from error: -0.548100352 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55892.8415 0.354076892 -6.67478418 EXIT FROM BFGS code FG_LNSRCH 0. 0.354076892 0. --------------------------------------------------- Iteration : 32 *********************************************** *** Learn Path 32 *** loss function: -0.545268834 *** contribution from regularisation: 0.0028314779 *** contribution from error: -0.548100293 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55892.7824 0.354076892 -6.59744263 EXIT FROM BFGS code FG_LNSRCH 0. 0.354076892 0. --------------------------------------------------- Iteration : 33 *********************************************** *** Learn Path 33 *** loss function: -0.545268834 *** contribution from regularisation: 0.00283150282 *** contribution from error: -0.548100352 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55892.7798 0.354076892 -6.6154747 EXIT FROM BFGS code NEW_X -55892.7798 0.354076892 -6.6154747 ENTER BFGS code NEW_X -55892.7798 0.354076892 -6.6154747 EXIT FROM BFGS code CONVERGENC -55892.7798 0.354076892 -6.6154747 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 9 --> 84.644104 sigma out 15 active outputs RANK 2 NODE 2 --> 59.6450157 sigma out 15 active outputs RANK 3 NODE 11 --> 58.6015816 sigma out 15 active outputs RANK 4 NODE 5 --> 52.127903 sigma out 15 active outputs RANK 5 NODE 1 --> 50.5507698 sigma out 15 active outputs RANK 6 NODE 8 --> 43.9100609 sigma out 15 active outputs RANK 7 NODE 10 --> 43.3098297 sigma out 15 active outputs RANK 8 NODE 4 --> 41.4078331 sigma out 15 active outputs RANK 9 NODE 7 --> 31.5419807 sigma out 15 active outputs RANK 10 NODE 6 --> 29.7018147 sigma out 15 active outputs RANK 11 NODE 3 --> 22.8865185 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 94.8016281 sigma in 11act. ( 87.9087143 sig out 1act.) RANK 2 NODE 15 --> 76.6322098 sigma in 11act. ( 78.9404449 sig out 1act.) RANK 3 NODE 8 --> 55.3805618 sigma in 11act. ( 61.5402985 sig out 1act.) RANK 4 NODE 12 --> 49.977581 sigma in 11act. ( 60.128315 sig out 1act.) RANK 5 NODE 2 --> 48.9081688 sigma in 11act. ( 57.0159187 sig out 1act.) RANK 6 NODE 11 --> 45.3509293 sigma in 11act. ( 42.2078171 sig out 1act.) RANK 7 NODE 5 --> 29.3317242 sigma in 11act. ( 33.5317688 sig out 1act.) RANK 8 NODE 1 --> 24.6724186 sigma in 11act. ( 27.3924904 sig out 1act.) RANK 9 NODE 6 --> 20.8061275 sigma in 11act. ( 21.9419594 sig out 1act.) RANK 10 NODE 9 --> 17.7589893 sigma in 11act. ( 20.5942726 sig out 1act.) RANK 11 NODE 3 --> 11.204937 sigma in 11act. ( 11.0406637 sig out 1act.) RANK 12 NODE 10 --> 7.72288752 sigma in 11act. ( 5.49648094 sig out 1act.) RANK 13 NODE 4 --> 5.89141941 sigma in 11act. ( 5.86534643 sig out 1act.) RANK 14 NODE 13 --> 5.08399487 sigma in 11act. ( 3.65953183 sig out 1act.) RANK 15 NODE 7 --> 3.44926548 sigma in 11act. ( 0.428802669 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 87.9087143 sigma out 1act.( 94.8016281 sig in 11act.) RANK 2 NODE 15 --> 78.9404449 sigma out 1act.( 76.6322098 sig in 11act.) RANK 3 NODE 8 --> 61.5402985 sigma out 1act.( 55.3805618 sig in 11act.) RANK 4 NODE 12 --> 60.128315 sigma out 1act.( 49.977581 sig in 11act.) RANK 5 NODE 2 --> 57.0159187 sigma out 1act.( 48.9081688 sig in 11act.) RANK 6 NODE 11 --> 42.2078171 sigma out 1act.( 45.3509293 sig in 11act.) RANK 7 NODE 5 --> 33.5317688 sigma out 1act.( 29.3317242 sig in 11act.) RANK 8 NODE 1 --> 27.3924904 sigma out 1act.( 24.6724186 sig in 11act.) RANK 9 NODE 6 --> 21.9419594 sigma out 1act.( 20.8061275 sig in 11act.) RANK 10 NODE 9 --> 20.5942726 sigma out 1act.( 17.7589893 sig in 11act.) RANK 11 NODE 3 --> 11.0406637 sigma out 1act.( 11.204937 sig in 11act.) RANK 12 NODE 4 --> 5.86534643 sigma out 1act.( 5.89141941 sig in 11act.) RANK 13 NODE 10 --> 5.49648094 sigma out 1act.( 7.72288752 sig in 11act.) RANK 14 NODE 13 --> 3.65953183 sigma out 1act.( 5.08399487 sig in 11act.) RANK 15 NODE 7 --> 0.428802669 sigma out 1act.( 3.44926548 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 171.390961 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.545264184 *** contribution from regularisation: 0.00283611869 *** contribution from error: -0.548100293 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 29164 Closing output file done