NNInput NNInputs_200.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= 40692 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 = 4489 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 4489 Chosen entries: 4489 Warning: entries low (below 6000) Signal fraction: 1 Background fraction: 0.123995 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 4489 Entries to split: 4489 Test with : 2244 Train with : 2244 ********************************************* * 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= 4489 for Signal Prepared event 0 for Signal with 4489 events ====Entry 0 Variable Ht : 235.779 Variable LepAPt : 30.6585 Variable LepBPt : 14.3577 Variable MetSigLeptonsJets : 8.24966 Variable MetSpec : 97.1367 Variable SumEtLeptonsJets : 138.642 Variable VSumJetLeptonsPt : 100.104 Variable addEt : 142.153 Variable dPhiLepSumMet : 1.91276 Variable dPhiLeptons : 0.0281754 Variable dRLeptons : 0.206661 Variable lep1_E : 35.7529 Variable lep2_E : 15.3198 ===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 = 2200 Ht = 235.779 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.6585 LepAPt = 30.6585 LepBEt = 14.3577 LepBPt = 14.3577 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 97.1367 MetDelPhi = 1.89357 MetSig = 6.68429 MetSigLeptonsJets = 8.24966 MetSpec = 97.1367 Mjj = 0 MostCentralJetEta = -1.61421 MtllMet = 146.296 Njets = 1 SB = 0 SumEt = 211.181 SumEtJets = 0 SumEtLeptonsJets = 138.642 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 100.104 addEt = 142.153 dPhiLepSumMet = 1.91276 dPhiLeptons = 0.0281754 dRLeptons = 0.206661 diltype = 45 dimass = 4.34331 event = 661 jet1_Et = 93.6256 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 35.7529 lep2_E = 15.3198 rand = 0.999742 run = 196099 weight = 1.82842e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===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 = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.14284 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 869 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 40692 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 869 negative weights. Signal fraction: 63.6856155 % ------------------------------ 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 55.8830566 62.6184311 64.6383896 66.2804947 67.6710663 68.6270142 69.8214722 70.6165314 71.2839661 71.868782 72.7734222 73.4152832 73.9595032 74.423172 75.0681992 75.6857147 76.2779999 77.0565567 77.6470337 78.0712738 78.6063461 79.2755737 79.639595 80.1398468 80.7018738 81.1771698 81.9837036 82.6052399 83.3730011 84.3348083 85.2098083 86.247757 87.1912766 88.4251862 89.5949936 91.0823898 93.3519897 95.2069397 97.714447 100.01535 101.694153 103.989189 106.080986 107.762962 109.437057 111.776962 113.488617 115.575974 117.475449 119.444275 121.609352 123.035118 125.283875 127.353493 128.947693 130.542618 132.229492 134.490204 136.231384 138.068527 139.31218 141.359528 142.988602 144.657028 146.237671 148.050659 150.040405 152.514709 154.591492 156.551727 158.365677 160.466202 162.312668 164.511353 166.893753 168.803864 171.652969 173.411301 176.462158 179.054916 181.891373 184.705414 186.539505 189.073456 191.849945 194.447937 197.11792 201.066132 204.582321 208.280029 211.831055 215.771103 220.642075 226.26123 233.363068 243.508698 254.832062 268.37854 291.434204 329.756958 533.187012 ------------------------------ Transdef: Tab for variable 3 20.001255 20.3496628 20.6152439 20.8874817 21.1574993 21.430294 21.6564388 21.8390961 22.0476246 22.2306862 22.4213333 22.6785965 22.907856 23.1139221 23.3165817 23.4786282 23.6668396 23.8833008 24.1141186 24.2712345 24.4963589 24.6918983 24.8805275 25.0416088 25.229763 25.4128094 25.5912552 25.7852306 26.0247383 26.203001 26.4064674 26.6516304 26.8736458 27.1124458 27.319912 27.607914 27.7661057 27.9794388 28.1759815 28.3225403 28.6129684 28.8653641 29.1537018 29.3692322 29.5946941 29.8403645 30.1129379 30.4912033 30.6818542 31.0093498 31.3786106 31.8098259 32.222435 32.606308 33.0292511 33.379158 33.7706299 34.296814 34.8223953 35.3033066 35.7942581 36.2672119 36.7648163 37.3256798 37.776062 38.2651901 38.727211 39.2269287 39.7824974 40.3982353 41.0547218 41.7211876 42.4143028 42.9667892 43.7316132 44.5389748 45.2611237 45.7804947 46.5175476 47.3860779 48.1820946 49.0307121 49.780323 50.7177505 51.6014252 52.4295425 53.5000992 54.6173096 55.485405 56.9839478 58.7655106 60.529747 61.6802673 63.1595383 65.1503983 67.8346405 70.1684723 73.5299225 76.7109222 82.5656967 151.031479 ------------------------------ Transdef: Tab for variable 4 10.0006418 10.0956059 10.1827755 10.2942562 10.3923187 10.4856796 10.6045818 10.7106953 10.8278961 10.9250326 11.0389013 11.2030468 11.3593082 11.4831772 11.5917549 11.7153187 11.8353882 11.9858894 12.1172504 12.2808094 12.4733744 12.6346645 12.7707119 12.899662 13.0586796 13.172245 13.3015671 13.4664288 13.5840073 13.7031879 13.8720932 14.0193682 14.1912766 14.3379364 14.4856796 14.6363926 14.8089027 15.0147343 15.1325979 15.3348293 15.4487247 15.6034431 15.7553167 15.8890886 16.1052818 16.3074818 16.5268364 16.7245388 16.8586349 17.0983696 17.2759819 17.4564972 17.6999245 17.9142227 18.1170425 18.2967873 18.4927616 18.6774616 18.8959217 19.0855484 19.2791138 19.4079056 19.6326523 19.7945061 20.0216198 20.2232056 20.4146805 20.6254559 20.8453674 21.109951 21.2793884 21.5052567 21.6372871 21.8169041 22.0538292 22.3716736 22.6686649 22.9808388 23.3194084 23.5435867 23.9127274 24.3101444 24.6617069 24.9445305 25.2949905 25.76828 26.3779869 26.7865486 27.1956844 27.6141357 28.1472893 28.8027344 29.5005531 30.2012444 30.8588047 31.4899521 32.3884659 33.5179367 35.0371475 39.70578 58.9233475 ------------------------------ Transdef: Tab for variable 5 1.79273057 2.94400644 3.23724794 3.61471987 3.77664614 3.97339797 4.10886765 4.26869202 4.37108421 4.44329548 4.53524685 4.61743259 4.71509504 4.83138943 4.9110527 4.99415445 5.07123661 5.15188551 5.20942831 5.295959 5.34761333 5.41034651 5.45703459 5.52058125 5.57551956 5.61412048 5.64628983 5.68474102 5.7427206 5.79350042 5.84600973 5.90405083 5.94333076 5.98278999 6.02511883 6.06170034 6.11974621 6.16619349 6.21413326 6.26774788 6.31643295 6.35221577 6.39672756 6.44986296 6.49154091 6.53390455 6.59151077 6.65193462 6.70929337 6.75475216 6.81319809 6.85780144 6.89901257 6.94897985 6.99836922 7.05131149 7.10161972 7.15264797 7.22784138 7.29716587 7.36351633 7.40692949 7.46848392 7.54838181 7.60942364 7.67237854 7.73215675 7.78032207 7.84628201 7.92772436 7.99874687 8.04938221 8.10761452 8.18245316 8.25603104 8.31994438 8.39143181 8.46590805 8.52221107 8.59707642 8.67381001 8.7572031 8.85019588 8.96782303 9.0304842 9.10097694 9.20179939 9.28312397 9.37454224 9.48468971 9.61056519 9.74339867 9.87974358 10.0297527 10.1426601 10.3294296 10.5857334 10.8766708 11.3109016 12.0195713 16.0221272 ------------------------------ Transdef: Tab for variable 6 25.000145 25.9156799 26.7569237 27.4439201 28.0451736 28.7092705 29.4500122 30.0436821 30.8357239 31.5015659 31.9809608 32.4212151 32.8780479 33.2654266 33.6849899 34.2113037 34.569252 34.9481583 35.3345032 35.7353134 36.1453171 36.4663086 36.7690125 37.0482788 37.3437042 37.6898117 38.0532837 38.4404526 38.8133163 39.2175064 39.5125999 39.9442291 40.353344 40.661129 41.032753 41.3756485 41.7871399 42.1473656 42.5516205 43.0216293 43.4405212 43.9533424 44.5213165 45.2213287 45.9959183 46.655983 47.2688675 48.1015778 48.7918663 49.6368065 50.4576149 51.108139 52.1730995 53.3432922 54.324852 55.0929413 55.9141464 56.8017044 57.8470764 58.6287308 59.3482704 60.2084885 61.3860092 62.5225563 63.3670425 64.7294769 65.5794525 66.7030182 67.6077728 68.4534988 69.4198761 70.3165131 71.4124603 72.1101532 73.0060883 73.854866 74.9069901 75.8546448 77.2427521 78.6131287 79.6528015 80.923378 81.9699631 83.1337433 84.5738297 85.6527939 86.8819427 88.1978149 89.36203 91.1893311 93.5601578 94.8643951 96.7735825 98.7953796 101.50531 104.397873 107.897598 112.810913 121.7239 133.953094 210.330811 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.7120171 33.6154022 34.2798004 34.8137436 35.3980179 35.7845039 36.16082 36.5430145 36.8378677 37.1633682 37.5067596 37.7436333 38.0551605 38.3048859 38.5769196 38.8182983 39.0482025 39.2816925 39.4878387 39.7463493 40.1107063 40.4465027 40.6996613 40.9961472 41.3158798 41.6129837 41.9500847 42.3112907 42.8039322 43.3453751 43.8829041 44.6919861 45.2144089 45.9889488 46.9426117 47.7673111 48.9288673 50.8145294 52.1973114 53.2257538 54.0819778 55.2410316 56.6386795 57.4790344 58.7092514 59.8740005 60.8832321 62.1724777 63.3018265 64.4783478 65.5102692 66.6529541 67.6037598 68.4394226 69.2637253 70.2862549 71.1634674 71.9602356 73.0296173 74.0617371 75.2025146 76.4230423 77.6414261 78.6810913 79.8784027 80.8231812 81.8547134 83.1429749 84.3918152 85.9335327 87.102005 88.5186615 89.9528656 91.7703705 93.4692688 95.1471863 96.9495544 98.6417465 100.433472 102.171799 104.194244 106.044601 107.617218 110.155708 112.783768 116.013855 118.586006 120.896835 124.063889 126.932259 130.618958 135.011047 139.972733 146.661102 153.258636 159.420197 169.069 184.332092 220.736557 376.662781 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.0877495 28.9237671 30.7528706 31.527874 32.3367767 33.0582657 33.6630325 34.0173187 34.4480362 34.7758331 35.1344566 35.4670448 35.8212662 36.0973434 36.4051743 36.5919456 36.8554153 37.1621246 37.3530426 37.5834274 37.793869 38.0262451 38.1991158 38.4356079 38.6847839 38.8998718 39.1952744 39.4838867 39.7709961 40.0531235 40.2769737 40.5556374 40.8747177 41.1915855 41.4161453 41.775959 42.2365494 42.7238541 43.2257004 43.7416306 44.272789 44.8246765 45.4772949 46.030468 46.6220093 47.257576 48.2138748 49.3385048 50.2063599 51.0850906 51.7640266 52.3780861 53.1872978 54.0768929 54.871727 55.8478775 56.634552 57.6885529 58.7563782 59.3173828 60.4175568 61.2365341 62.0105896 63.1125488 63.8789978 64.883194 65.7759705 66.4801636 67.2651443 68.0560303 68.7609787 69.5088654 70.3313904 71.248642 72.1749115 72.9930191 73.9531097 75.0714874 76.0887756 77.0777283 78.2049179 79.643959 80.7142792 81.6824646 82.6149445 84.1700592 85.4783249 87.3227386 88.1716309 89.3232346 91.3617249 93.3889923 95.7924728 98.8799286 102.459015 107.310547 112.472336 120.912933 138.116547 201.698624 ------------------------------ Transdef: Tab for variable 9 55.8830566 62.3469086 64.3289185 65.8169403 67.2131119 68.1225739 69.0029907 70.1238785 70.7059479 71.3568268 71.8209229 72.5415039 73.1943665 73.7179565 74.1496964 74.7299576 75.2999954 75.7789764 76.2667465 76.8874359 77.460022 77.8928299 78.3362732 78.9683456 79.414032 79.7919769 80.228363 80.7746735 81.1506805 81.9260559 82.3408966 82.8866959 83.6399231 84.3182526 84.9122772 85.7226028 86.6028137 87.2925797 88.2697906 89.4964142 90.4865265 92.1950226 93.9596252 95.4460297 97.1881485 99.1070786 100.739899 102.577187 104.183754 105.948685 106.991791 108.531219 109.729019 111.697876 112.841583 114.315781 115.637512 117.135948 118.697182 120.040222 121.610733 122.72802 124.50016 125.879883 127.569412 128.797668 130.23407 131.887939 133.745697 135.702515 136.904938 138.32312 139.621704 140.694305 141.742386 143.310318 144.759537 146.251038 148.004242 149.569489 151.747162 153.519638 155.186951 156.929382 158.333984 160.313873 161.727402 163.682739 165.990723 168.323364 170.696854 172.208786 174.274429 177.116211 180.351624 184.460693 189.847473 194.215363 201.636581 211.816071 344.857483 ------------------------------ Transdef: Tab for variable 10 0.0879002884 1.11226177 1.42194915 1.58644199 1.71444917 1.82385969 1.94766808 2.03379416 2.08820605 2.15258026 2.21605778 2.26667738 2.32852268 2.37548351 2.41358566 2.44574547 2.47699666 2.50779104 2.53452206 2.560359 2.58268046 2.6022296 2.62360096 2.64785409 2.66591263 2.6845293 2.70478177 2.722826 2.74496675 2.76171231 2.78103948 2.79352093 2.8054018 2.81884575 2.83023977 2.8415699 2.85341382 2.86544967 2.87512589 2.88699603 2.89951253 2.90966702 2.91895008 2.92538691 2.93309927 2.9394865 2.94842243 2.9552021 2.96163845 2.9678514 2.97434092 2.97927999 2.98348618 2.9879458 2.99281073 2.99815607 3.00319719 3.00766134 3.01222515 3.01725364 3.02317238 3.02763987 3.03209305 3.03534102 3.03830385 3.04205346 3.04580545 3.04962397 3.05335021 3.05743361 3.06062698 3.06333375 3.06663561 3.07022381 3.07370782 3.07664728 3.07991767 3.08277893 3.08477521 3.08807278 3.0902853 3.09276962 3.09515738 3.0975883 3.10043383 3.10320663 3.1053443 3.10860801 3.11187506 3.11381388 3.11621571 3.11885071 3.12144852 3.12379146 3.12678576 3.12940717 3.13173246 3.13413048 3.13656712 3.13907409 3.14158249 ------------------------------ Transdef: Tab for variable 11 1.19226625E-05 0.00584034994 0.0109410286 0.0186072141 0.0250330083 0.0315160677 0.0401226804 0.0488727689 0.0567889214 0.0643765777 0.0723699927 0.0811045766 0.0882711411 0.0938177109 0.100460768 0.108161926 0.115389377 0.122445628 0.127828002 0.135261297 0.141449451 0.148682952 0.156704426 0.162882358 0.168386936 0.175114334 0.179711461 0.186170578 0.192624941 0.198072404 0.203602195 0.208852172 0.21371159 0.21892333 0.223059177 0.227449775 0.231520772 0.236133099 0.242336512 0.246712565 0.252950966 0.258185178 0.262989402 0.269824088 0.276163399 0.281641603 0.286221325 0.290884316 0.296863139 0.301267862 0.304673672 0.31047672 0.314489603 0.318111181 0.322751403 0.326909423 0.332316697 0.338404179 0.343665481 0.350213408 0.35472858 0.361200482 0.36634326 0.371861458 0.37887454 0.384680986 0.390034497 0.397439986 0.403697014 0.40932399 0.416148931 0.423486322 0.430428684 0.436068296 0.442090392 0.44930923 0.458430648 0.468396604 0.477136374 0.486046672 0.493495226 0.500771642 0.509855986 0.520001292 0.532778084 0.545420468 0.555859327 0.569627881 0.580015302 0.595383823 0.612640202 0.630402923 0.643309355 0.659333289 0.674511671 0.696984887 0.722378075 0.759597838 0.795393467 0.855360389 1.09309101 ------------------------------ Transdef: Tab for variable 12 0.200015157 0.211215168 0.217325449 0.225706846 0.233792007 0.23825109 0.245070517 0.251813322 0.257018507 0.260944307 0.268456221 0.274968207 0.281649292 0.286432505 0.291753203 0.298489064 0.303613484 0.308462828 0.314422667 0.318051338 0.323199987 0.329234362 0.332804203 0.339707494 0.344275743 0.349741459 0.35371995 0.359414279 0.365188241 0.37156415 0.376610488 0.382145643 0.38652885 0.391532719 0.39611575 0.39960134 0.403616548 0.407926977 0.411323041 0.415297061 0.418322682 0.421598911 0.427534759 0.431739628 0.434904128 0.439532965 0.442884624 0.446877658 0.45211792 0.457152933 0.461760342 0.466518819 0.470219612 0.474918336 0.478886455 0.483889878 0.488384008 0.49407208 0.49825424 0.502498627 0.505568683 0.509769678 0.514847636 0.519281507 0.524226725 0.529640317 0.535699725 0.540514946 0.546944082 0.551710606 0.558555841 0.562948108 0.567480922 0.574002981 0.579979539 0.586368263 0.591912687 0.598183095 0.606370568 0.613719702 0.62267065 0.631203294 0.639809132 0.651100457 0.659551859 0.668540299 0.677871466 0.687832117 0.699730217 0.711845517 0.724742055 0.739746809 0.749510765 0.763069689 0.777472496 0.794034541 0.81508702 0.833437681 0.863146782 0.900021195 1.13498271 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.7882156 22.5338173 23.1901627 23.7472992 24.2934227 24.980051 25.411726 25.8931866 26.3991318 26.8554688 27.2998276 27.7693081 28.172966 28.57201 29.0019112 29.2885284 29.698761 30.0829315 30.4491425 30.8370171 31.2603912 31.6593094 32.0036011 32.3730469 32.8036385 33.2071686 33.663044 34.3209534 34.6847229 35.0859451 35.6617737 36.2635307 36.7932892 37.1958542 37.7668915 38.2629242 38.5786743 39.1574593 39.5866051 40.0857162 40.5905151 41.1101913 41.5632629 42.1533852 42.693634 43.1862488 43.6965637 44.336853 45.1714172 45.8196373 46.3629761 47.1510544 47.7642365 48.1464233 48.8162308 49.4421349 50.0295334 50.7113686 51.2859879 51.8210526 52.4364166 53.0320625 53.8453484 54.3757553 55.0423355 55.7567368 56.3716736 56.8487701 57.6139374 58.2955704 59.0312271 59.9963989 60.6771622 61.4859238 62.3169861 63.2088623 64.1018982 65.1121826 66.3039246 67.2144012 68.076973 69.305542 70.2537384 71.3682327 72.8049011 74.271347 75.5943222 76.8106537 78.0729218 79.8980942 81.9296875 83.9307632 86.2162018 88.4983826 91.8712158 95.2717743 99.7696457 106.156693 117.064194 225.703049 ------------------------------ Transdef: Tab for variable 14 10.0086575 10.8349524 11.3789062 11.6259785 12.0000267 12.3587627 12.8022804 13.0790462 13.3927612 13.5752373 13.8549824 14.1416454 14.4360332 14.7204618 14.9718914 15.1537323 15.4384251 15.6617413 15.8314228 16.1808014 16.5095444 16.804451 17.0494652 17.2912292 17.517067 17.7646217 18.0576191 18.3129196 18.5601768 18.8349953 19.1056919 19.3584747 19.6200657 19.8870125 20.1110344 20.3831081 20.6205883 20.829792 21.0754814 21.3178062 21.5664635 21.8342972 22.0654564 22.3674812 22.5681992 22.8332748 23.0089169 23.2338982 23.5071945 23.7489777 23.9419556 24.2395763 24.4980297 24.7902813 25.0194721 25.2845497 25.6053009 25.8665619 26.1414185 26.4484711 26.7343445 27.056345 27.441082 27.6425705 27.8372993 28.1897011 28.5482464 28.8347702 29.1322079 29.5249329 29.8411827 30.2180805 30.6272621 31.0210476 31.277504 31.807579 32.2144012 32.6407852 33.0455704 33.5702362 33.9516525 34.3906288 34.8173981 35.362114 36.0130997 36.5666008 37.1782532 37.8077812 38.8747864 39.7368011 40.8034096 41.7006073 42.8206253 43.9371872 45.1513367 47.732933 50.4335098 52.9827118 56.7491264 64.7205811 118.581718 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 69.4 53.6 50.6 39.4 58.4 66.1 58.0 68.2 -27.7 -16.3 -29.6 14.9 6.9 2 69.4 100.0 68.1 54.0 46.2 77.6 94.2 77.4 92.6 -41.6 -22.6 -40.5 31.0 14.2 3 53.6 68.1 100.0 40.0 27.1 48.8 69.3 60.5 77.4 -10.5 -24.0 -47.2 62.9 9.7 4 50.6 54.0 40.0 100.0 16.9 36.7 56.4 45.1 57.5 -14.0 -25.0 -46.6 12.9 56.9 5 39.4 46.2 27.1 16.9 100.0 85.8 19.5 63.5 64.9 21.5 -11.6 -16.7 6.4 -5.4 6 58.4 77.6 48.8 36.7 85.8 100.0 57.7 81.4 85.9 -7.1 -19.1 -30.9 18.0 3.9 7 66.1 94.2 69.3 56.4 19.5 57.7 100.0 69.8 81.4 -50.9 -20.6 -39.2 34.4 19.4 8 58.0 77.4 60.5 45.1 63.5 81.4 69.8 100.0 84.0 -8.3 -21.7 -36.4 29.1 12.0 9 68.2 92.6 77.4 57.5 64.9 85.9 81.4 84.0 100.0 -17.4 -25.6 -46.6 38.9 16.4 10 -27.7 -41.6 -10.5 -14.0 21.5 -7.1 -50.9 -8.3 -17.4 100.0 2.3 4.9 0.2 -2.5 11 -16.3 -22.6 -24.0 -25.0 -11.6 -19.1 -20.6 -21.7 -25.6 2.3 100.0 56.0 0.8 0.6 12 -29.6 -40.5 -47.2 -46.6 -16.7 -30.9 -39.2 -36.4 -46.6 4.9 56.0 100.0 -14.5 -7.9 13 14.9 31.0 62.9 12.9 6.4 18.0 34.4 29.1 38.9 0.2 0.8 -14.5 100.0 46.1 14 6.9 14.2 9.7 56.9 -5.4 3.9 19.4 12.0 16.4 -2.5 0.6 -7.9 46.1 100.0 TOTAL CORRELATION TO TARGET (diagonal) 172.540599 TOTAL CORRELATION OF ALL VARIABLES 75.9090089 ROUND 1: MAX CORR ( 75.9069528) AFTER KILLING INPUT VARIABLE 2 CONTR 0.558707857 ROUND 2: MAX CORR ( 75.9008897) AFTER KILLING INPUT VARIABLE 11 CONTR 0.959383627 ROUND 3: MAX CORR ( 75.8656821) AFTER KILLING INPUT VARIABLE 13 CONTR 2.31156601 ROUND 4: MAX CORR ( 75.8197986) AFTER KILLING INPUT VARIABLE 6 CONTR 2.63815542 ROUND 5: MAX CORR ( 75.7605762) AFTER KILLING INPUT VARIABLE 8 CONTR 2.99615614 ROUND 6: MAX CORR ( 75.3770653) AFTER KILLING INPUT VARIABLE 12 CONTR 7.61333902 ROUND 7: MAX CORR ( 74.9402637) AFTER KILLING INPUT VARIABLE 10 CONTR 8.10301566 ROUND 8: MAX CORR ( 74.3944855) AFTER KILLING INPUT VARIABLE 9 CONTR 9.02793725 ROUND 9: MAX CORR ( 74.2165141) AFTER KILLING INPUT VARIABLE 3 CONTR 5.14281058 ROUND 10: MAX CORR ( 72.7998147) AFTER KILLING INPUT VARIABLE 14 CONTR 14.431838 ROUND 11: MAX CORR ( 71.3848299) AFTER KILLING INPUT VARIABLE 4 CONTR 14.283525 ROUND 12: MAX CORR ( 66.0621527) AFTER KILLING INPUT VARIABLE 5 CONTR 27.0478448 LAST REMAINING VARIABLE: 7 total correlation to target: 75.9090089 % total significance: 45.2895916 sigma correlations of single variables to target: variable 2: 69.3708183 % , in sigma: 41.388711 variable 3: 53.6313485 % , in sigma: 31.9980712 variable 4: 50.610284 % , in sigma: 30.1956135 variable 5: 39.4387425 % , in sigma: 23.5303368 variable 6: 58.3743426 % , in sigma: 34.8278838 variable 7: 66.0621527 % , in sigma: 39.4146619 variable 8: 57.9596936 % , in sigma: 34.5804917 variable 9: 68.1839813 % , in sigma: 40.6806085 variable 10: -27.7255885 % , in sigma: 16.5419177 variable 11: -16.3381043 % , in sigma: 9.74780309 variable 12: -29.6450825 % , in sigma: 17.6871454 variable 13: 14.9364513 % , in sigma: 8.91153489 variable 14: 6.86203453 % , in sigma: 4.09409563 variables sorted by significance: 1 most relevant variable 7 corr 66.062149 , in sigma: 39.4146597 2 most relevant variable 5 corr 27.0478439 , in sigma: 16.137555 3 most relevant variable 4 corr 14.2835245 , in sigma: 8.52197916 4 most relevant variable 14 corr 14.431838 , in sigma: 8.61046746 5 most relevant variable 3 corr 5.14281082 , in sigma: 3.0683552 6 most relevant variable 9 corr 9.02793694 , in sigma: 5.38633797 7 most relevant variable 10 corr 8.1030159 , in sigma: 4.83450234 8 most relevant variable 12 corr 7.61333895 , in sigma: 4.54234638 9 most relevant variable 8 corr 2.99615622 , in sigma: 1.78759667 10 most relevant variable 6 corr 2.63815546 , in sigma: 1.57400268 11 most relevant variable 13 corr 2.31156611 , in sigma: 1.37914968 12 most relevant variable 11 corr 0.959383607 , in sigma: 0.572397037 13 most relevant variable 2 corr 0.558707833 , in sigma: 0.333341852 global correlations between input variables: variable 2: 99.227155 % variable 3: 93.8883443 % variable 4: 89.3094199 % variable 5: 95.6381491 % variable 6: 96.2680018 % variable 7: 98.7031867 % variable 8: 90.067553 % variable 9: 98.9540316 % variable 10: 71.9699529 % variable 11: 57.2145296 % variable 12: 71.2149291 % variable 13: 87.5428214 % variable 14: 86.037645 % significance loss when removing single variables: variable 2: corr = 0.558707857 % , sigma = 0.333341866 variable 3: corr = 11.1892348 % , sigma = 6.6758331 variable 4: corr = 17.5473913 % , sigma = 10.4693 variable 5: corr = 12.2179163 % , sigma = 7.28957532 variable 6: corr = 2.32260229 % , sigma = 1.38573419 variable 7: corr = 7.97413687 % , sigma = 4.75760925 variable 8: corr = 2.92008942 % , sigma = 1.74221294 variable 9: corr = 6.56721406 % , sigma = 3.91819689 variable 10: corr = 6.53710914 % , sigma = 3.9002354 variable 11: corr = 0.983076711 % , sigma = 0.586533053 variable 12: corr = 6.27766176 % , sigma = 3.74544131 variable 13: corr = 2.38930975 % , sigma = 1.42553387 variable 14: corr = 8.06893737 % , sigma = 4.81417006 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 11.574749 sigma out 15 active outputs RANK 2 NODE 9 --> 10.502903 sigma out 15 active outputs RANK 3 NODE 6 --> 9.44857788 sigma out 15 active outputs RANK 4 NODE 3 --> 9.43403149 sigma out 15 active outputs RANK 5 NODE 5 --> 8.08580303 sigma out 15 active outputs RANK 6 NODE 1 --> 7.39736319 sigma out 15 active outputs RANK 7 NODE 2 --> 7.30665779 sigma out 15 active outputs RANK 8 NODE 8 --> 6.78048563 sigma out 15 active outputs RANK 9 NODE 7 --> 6.67165184 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 12.5779037 sigma in 9act. ( 14.0231085 sig out 1act.) RANK 2 NODE 14 --> 12.0259714 sigma in 9act. ( 12.7930813 sig out 1act.) RANK 3 NODE 6 --> 10.9113417 sigma in 9act. ( 11.8173056 sig out 1act.) RANK 4 NODE 7 --> 8.90199757 sigma in 9act. ( 8.83840752 sig out 1act.) RANK 5 NODE 3 --> 7.88799715 sigma in 9act. ( 8.53707027 sig out 1act.) RANK 6 NODE 8 --> 6.32970047 sigma in 9act. ( 6.69799328 sig out 1act.) RANK 7 NODE 11 --> 5.19147015 sigma in 9act. ( 4.98196888 sig out 1act.) RANK 8 NODE 12 --> 4.14756393 sigma in 9act. ( 3.82448411 sig out 1act.) RANK 9 NODE 9 --> 3.62992883 sigma in 9act. ( 3.58378434 sig out 1act.) RANK 10 NODE 13 --> 3.16946912 sigma in 9act. ( 2.88552499 sig out 1act.) RANK 11 NODE 15 --> 2.49250197 sigma in 9act. ( 1.74588513 sig out 1act.) RANK 12 NODE 5 --> 2.47716498 sigma in 9act. ( 2.40481281 sig out 1act.) RANK 13 NODE 4 --> 1.18657064 sigma in 9act. ( 0.56860131 sig out 1act.) RANK 14 NODE 2 --> 1.01315427 sigma in 9act. ( 0.635507286 sig out 1act.) RANK 15 NODE 10 --> 0.980630219 sigma in 9act. ( 0.0136354314 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 14.0231085 sigma out 1act.( 12.5779037 sig in 9act.) RANK 2 NODE 14 --> 12.7930813 sigma out 1act.( 12.0259714 sig in 9act.) RANK 3 NODE 6 --> 11.8173056 sigma out 1act.( 10.9113417 sig in 9act.) RANK 4 NODE 7 --> 8.83840752 sigma out 1act.( 8.90199757 sig in 9act.) RANK 5 NODE 3 --> 8.53707027 sigma out 1act.( 7.88799715 sig in 9act.) RANK 6 NODE 8 --> 6.69799328 sigma out 1act.( 6.32970047 sig in 9act.) RANK 7 NODE 11 --> 4.98196888 sigma out 1act.( 5.19147015 sig in 9act.) RANK 8 NODE 12 --> 3.82448411 sigma out 1act.( 4.14756393 sig in 9act.) RANK 9 NODE 9 --> 3.58378434 sigma out 1act.( 3.62992883 sig in 9act.) RANK 10 NODE 13 --> 2.88552499 sigma out 1act.( 3.16946912 sig in 9act.) RANK 11 NODE 5 --> 2.40481281 sigma out 1act.( 2.47716498 sig in 9act.) RANK 12 NODE 15 --> 1.74588513 sigma out 1act.( 2.49250197 sig in 9act.) RANK 13 NODE 2 --> 0.635507286 sigma out 1act.( 1.01315427 sig in 9act.) RANK 14 NODE 4 --> 0.56860131 sigma out 1act.( 1.18657064 sig in 9act.) RANK 15 NODE 10 --> 0.0136354314 sigma out 1act.( 0.980630219 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 27.6766376 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 18.4089489 sigma out 15 active outputs RANK 2 NODE 4 --> 12.4175882 sigma out 15 active outputs RANK 3 NODE 9 --> 11.3555918 sigma out 15 active outputs RANK 4 NODE 3 --> 9.26399708 sigma out 15 active outputs RANK 5 NODE 6 --> 8.37247181 sigma out 15 active outputs RANK 6 NODE 5 --> 7.60784435 sigma out 15 active outputs RANK 7 NODE 8 --> 7.17200041 sigma out 15 active outputs RANK 8 NODE 1 --> 6.87738752 sigma out 15 active outputs RANK 9 NODE 7 --> 6.75126886 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 10.6888332 sigma in 9act. ( 9.18890858 sig out 1act.) RANK 2 NODE 7 --> 10.5880375 sigma in 9act. ( 7.90760708 sig out 1act.) RANK 3 NODE 14 --> 10.4206638 sigma in 9act. ( 10.5306921 sig out 1act.) RANK 4 NODE 2 --> 9.98689175 sigma in 9act. ( 4.58408451 sig out 1act.) RANK 5 NODE 13 --> 9.0789032 sigma in 9act. ( 5.66298676 sig out 1act.) RANK 6 NODE 6 --> 8.21404457 sigma in 9act. ( 7.78554583 sig out 1act.) RANK 7 NODE 4 --> 8.18232536 sigma in 9act. ( 2.93618464 sig out 1act.) RANK 8 NODE 3 --> 7.75583124 sigma in 9act. ( 5.81940317 sig out 1act.) RANK 9 NODE 11 --> 7.0925355 sigma in 9act. ( 6.30842972 sig out 1act.) RANK 10 NODE 10 --> 6.71356535 sigma in 9act. ( 1.75332057 sig out 1act.) RANK 11 NODE 15 --> 6.68689394 sigma in 9act. ( 2.86536407 sig out 1act.) RANK 12 NODE 12 --> 6.32961941 sigma in 9act. ( 3.84218383 sig out 1act.) RANK 13 NODE 5 --> 6.21110201 sigma in 9act. ( 3.46855283 sig out 1act.) RANK 14 NODE 8 --> 5.23384237 sigma in 9act. ( 4.63325691 sig out 1act.) RANK 15 NODE 9 --> 4.72635174 sigma in 9act. ( 2.24970508 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 10.5306921 sigma out 1act.( 10.4206638 sig in 9act.) RANK 2 NODE 1 --> 9.18890858 sigma out 1act.( 10.6888332 sig in 9act.) RANK 3 NODE 7 --> 7.90760708 sigma out 1act.( 10.5880375 sig in 9act.) RANK 4 NODE 6 --> 7.78554583 sigma out 1act.( 8.21404457 sig in 9act.) RANK 5 NODE 11 --> 6.30842972 sigma out 1act.( 7.0925355 sig in 9act.) RANK 6 NODE 3 --> 5.81940317 sigma out 1act.( 7.75583124 sig in 9act.) RANK 7 NODE 13 --> 5.66298676 sigma out 1act.( 9.0789032 sig in 9act.) RANK 8 NODE 8 --> 4.63325691 sigma out 1act.( 5.23384237 sig in 9act.) RANK 9 NODE 2 --> 4.58408451 sigma out 1act.( 9.98689175 sig in 9act.) RANK 10 NODE 12 --> 3.84218383 sigma out 1act.( 6.32961941 sig in 9act.) RANK 11 NODE 5 --> 3.46855283 sigma out 1act.( 6.21110201 sig in 9act.) RANK 12 NODE 4 --> 2.93618464 sigma out 1act.( 8.18232536 sig in 9act.) RANK 13 NODE 15 --> 2.86536407 sigma out 1act.( 6.68689394 sig in 9act.) RANK 14 NODE 9 --> 2.24970508 sigma out 1act.( 4.72635174 sig in 9act.) RANK 15 NODE 10 --> 1.75332057 sigma out 1act.( 6.71356535 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 22.7694664 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.545972407 *** contribution from regularisation: 0.0162689872 *** contribution from error: -0.562241375 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.618170679 *** contribution from regularisation: 0.00610762043 *** contribution from error: -0.624278307 *********************************************** -----------------> Test sample ENTER BFGS code START -12579.335 -0.384943038 0.0351205505 EXIT FROM BFGS code FG_START 0. -0.384943038 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.631953955 *** contribution from regularisation: 0.00324378116 *** contribution from error: -0.635197759 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12857.7354 -0.384943038 -5.30906868 EXIT FROM BFGS code FG_LNSRCH 0. -0.426739573 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.639064848 *** contribution from regularisation: 0.00481872633 *** contribution from error: -0.643883586 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13002.4129 -0.426739573 -9.41551876 EXIT FROM BFGS code NEW_X -13002.4129 -0.426739573 -9.41551876 ENTER BFGS code NEW_X -13002.4129 -0.426739573 -9.41551876 EXIT FROM BFGS code FG_LNSRCH 0. -0.475437999 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.640433133 *** contribution from regularisation: 0.00509235915 *** contribution from error: -0.645525515 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13030.253 -0.475437999 0.0165611897 EXIT FROM BFGS code NEW_X -13030.253 -0.475437999 0.0165611897 ENTER BFGS code NEW_X -13030.253 -0.475437999 0.0165611897 EXIT FROM BFGS code FG_LNSRCH 0. -0.502993405 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.64039439 *** contribution from regularisation: 0.00484130718 *** contribution from error: -0.645235717 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13029.4643 -0.502993405 9.37402916 EXIT FROM BFGS code FG_LNSRCH 0. -0.482780606 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.63950932 *** contribution from regularisation: 0.00615021074 *** contribution from error: -0.645659506 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13011.4565 -0.482780606 2.3854332 EXIT FROM BFGS code FG_LNSRCH 0. -0.47572729 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.640060663 *** contribution from regularisation: 0.00547318906 *** contribution from error: -0.64553386 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13022.6746 -0.47572729 -0.284497976 EXIT FROM BFGS code FG_LNSRCH 0. -0.47543934 0. --------------------------------------------------- Iteration : 9 WARNING in NB_TEACHER: limited eta to preset max. value *********************************************** *** Learn Path 9 *** loss function: -0.640203834 *** contribution from regularisation: 0.00532174949 *** contribution from error: -0.645525575 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13025.5866 -0.47543934 -0.298312634 EXIT FROM BFGS code FG_LNSRCH 0. -0.475437999 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 12.0577164 sigma out 15 active outputs RANK 2 NODE 1 --> 6.14844465 sigma out 15 active outputs RANK 3 NODE 4 --> 5.52059221 sigma out 15 active outputs RANK 4 NODE 9 --> 5.3333993 sigma out 15 active outputs RANK 5 NODE 8 --> 4.40809488 sigma out 15 active outputs RANK 6 NODE 3 --> 3.6193409 sigma out 15 active outputs RANK 7 NODE 7 --> 3.18827939 sigma out 15 active outputs RANK 8 NODE 5 --> 2.93409514 sigma out 15 active outputs RANK 9 NODE 6 --> 2.81927705 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 6.9798069 sigma in 9act. ( 4.14194012 sig out 1act.) RANK 2 NODE 2 --> 6.92332602 sigma in 9act. ( 3.98237872 sig out 1act.) RANK 3 NODE 4 --> 5.41593599 sigma in 9act. ( 3.02287531 sig out 1act.) RANK 4 NODE 7 --> 5.30035019 sigma in 9act. ( 3.20360565 sig out 1act.) RANK 5 NODE 11 --> 4.75901365 sigma in 9act. ( 3.44603038 sig out 1act.) RANK 6 NODE 5 --> 4.35674381 sigma in 9act. ( 2.61245632 sig out 1act.) RANK 7 NODE 10 --> 4.27490044 sigma in 9act. ( 2.33988094 sig out 1act.) RANK 8 NODE 15 --> 4.07134438 sigma in 9act. ( 2.21842384 sig out 1act.) RANK 9 NODE 14 --> 3.98981857 sigma in 9act. ( 3.02747583 sig out 1act.) RANK 10 NODE 1 --> 3.41116929 sigma in 9act. ( 0.968435585 sig out 1act.) RANK 11 NODE 3 --> 3.3613174 sigma in 9act. ( 1.83115506 sig out 1act.) RANK 12 NODE 12 --> 3.34009171 sigma in 9act. ( 1.76645172 sig out 1act.) RANK 13 NODE 6 --> 2.8908987 sigma in 9act. ( 1.9595511 sig out 1act.) RANK 14 NODE 8 --> 2.599015 sigma in 9act. ( 1.84950638 sig out 1act.) RANK 15 NODE 9 --> 2.38525414 sigma in 9act. ( 0.91206795 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 4.14194012 sigma out 1act.( 6.9798069 sig in 9act.) RANK 2 NODE 2 --> 3.98237872 sigma out 1act.( 6.92332602 sig in 9act.) RANK 3 NODE 11 --> 3.44603038 sigma out 1act.( 4.75901365 sig in 9act.) RANK 4 NODE 7 --> 3.20360565 sigma out 1act.( 5.30035019 sig in 9act.) RANK 5 NODE 14 --> 3.02747583 sigma out 1act.( 3.98981857 sig in 9act.) RANK 6 NODE 4 --> 3.02287531 sigma out 1act.( 5.41593599 sig in 9act.) RANK 7 NODE 5 --> 2.61245632 sigma out 1act.( 4.35674381 sig in 9act.) RANK 8 NODE 10 --> 2.33988094 sigma out 1act.( 4.27490044 sig in 9act.) RANK 9 NODE 15 --> 2.21842384 sigma out 1act.( 4.07134438 sig in 9act.) RANK 10 NODE 6 --> 1.9595511 sigma out 1act.( 2.8908987 sig in 9act.) RANK 11 NODE 8 --> 1.84950638 sigma out 1act.( 2.599015 sig in 9act.) RANK 12 NODE 3 --> 1.83115506 sigma out 1act.( 3.3613174 sig in 9act.) RANK 13 NODE 12 --> 1.76645172 sigma out 1act.( 3.34009171 sig in 9act.) RANK 14 NODE 1 --> 0.968435585 sigma out 1act.( 3.41116929 sig in 9act.) RANK 15 NODE 9 --> 0.91206795 sigma out 1act.( 2.38525414 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 10.304451 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.639974117 *** contribution from regularisation: 0.00555140013 *** contribution from error: -0.645525515 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -13020.9134 -0.475437999 -0.199172243 EXIT FROM BFGS code FG_LNSRCH 0. -0.475437999 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.639929473 *** contribution from regularisation: 0.00559602026 *** contribution from error: -0.645525515 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13020.0055 -0.475437999 -0.410355806 EXIT FROM BFGS code FG_LNSRCH 0. -0.475437999 0. --------------------------------------------------- Iteration : 12 WARNING in NB_TEACHER: limited eta to preset max. value *********************************************** *** Learn Path 12 *** loss function: -0.640099168 *** contribution from regularisation: 0.00542636169 *** contribution from error: -0.645525515 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13023.4574 -0.475437999 -0.24968642 EXIT FROM BFGS code FG_LNSRCH 0. -0.475437999 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.639885366 *** contribution from regularisation: 0.00564013375 *** contribution from error: -0.645525515 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13019.108 -0.475437999 -0.402014911 EXIT FROM BFGS code NEW_X -13019.108 -0.475437999 -0.402014911 ENTER BFGS code NEW_X -13019.108 -0.475437999 -0.402014911 EXIT FROM BFGS code CONVERGENC -13019.108 -0.475437999 -0.402014911 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 18.8455753 sigma out 15 active outputs RANK 2 NODE 1 --> 11.0982304 sigma out 15 active outputs RANK 3 NODE 9 --> 8.67423153 sigma out 15 active outputs RANK 4 NODE 4 --> 8.5523634 sigma out 15 active outputs RANK 5 NODE 8 --> 8.05461407 sigma out 15 active outputs RANK 6 NODE 3 --> 5.23871374 sigma out 15 active outputs RANK 7 NODE 7 --> 5.13851929 sigma out 15 active outputs RANK 8 NODE 6 --> 4.82707071 sigma out 15 active outputs RANK 9 NODE 5 --> 4.40120125 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 12.6919193 sigma in 9act. ( 8.43154812 sig out 1act.) RANK 2 NODE 2 --> 11.6928596 sigma in 9act. ( 8.11244869 sig out 1act.) RANK 3 NODE 11 --> 8.98100948 sigma in 9act. ( 6.48418713 sig out 1act.) RANK 4 NODE 4 --> 8.56880379 sigma in 9act. ( 6.0207324 sig out 1act.) RANK 5 NODE 7 --> 8.38836956 sigma in 9act. ( 6.83975935 sig out 1act.) RANK 6 NODE 5 --> 7.05809689 sigma in 9act. ( 5.14392614 sig out 1act.) RANK 7 NODE 14 --> 6.93077087 sigma in 9act. ( 5.91912174 sig out 1act.) RANK 8 NODE 10 --> 6.27532244 sigma in 9act. ( 4.57548952 sig out 1act.) RANK 9 NODE 15 --> 5.7880373 sigma in 9act. ( 4.4085288 sig out 1act.) RANK 10 NODE 12 --> 4.46061611 sigma in 9act. ( 3.52812409 sig out 1act.) RANK 11 NODE 3 --> 4.35317802 sigma in 9act. ( 3.73575449 sig out 1act.) RANK 12 NODE 6 --> 4.34275913 sigma in 9act. ( 3.69952774 sig out 1act.) RANK 13 NODE 8 --> 3.93253255 sigma in 9act. ( 3.48463202 sig out 1act.) RANK 14 NODE 1 --> 3.7804985 sigma in 9act. ( 1.98926508 sig out 1act.) RANK 15 NODE 9 --> 2.76686192 sigma in 9act. ( 1.74254239 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 8.43154812 sigma out 1act.( 12.6919193 sig in 9act.) RANK 2 NODE 2 --> 8.11244869 sigma out 1act.( 11.6928596 sig in 9act.) RANK 3 NODE 7 --> 6.83975935 sigma out 1act.( 8.38836956 sig in 9act.) RANK 4 NODE 11 --> 6.48418713 sigma out 1act.( 8.98100948 sig in 9act.) RANK 5 NODE 4 --> 6.0207324 sigma out 1act.( 8.56880379 sig in 9act.) RANK 6 NODE 14 --> 5.91912174 sigma out 1act.( 6.93077087 sig in 9act.) RANK 7 NODE 5 --> 5.14392614 sigma out 1act.( 7.05809689 sig in 9act.) RANK 8 NODE 10 --> 4.57548952 sigma out 1act.( 6.27532244 sig in 9act.) RANK 9 NODE 15 --> 4.4085288 sigma out 1act.( 5.7880373 sig in 9act.) RANK 10 NODE 3 --> 3.73575449 sigma out 1act.( 4.35317802 sig in 9act.) RANK 11 NODE 6 --> 3.69952774 sigma out 1act.( 4.34275913 sig in 9act.) RANK 12 NODE 12 --> 3.52812409 sigma out 1act.( 4.46061611 sig in 9act.) RANK 13 NODE 8 --> 3.48463202 sigma out 1act.( 3.93253255 sig in 9act.) RANK 14 NODE 1 --> 1.98926508 sigma out 1act.( 3.7804985 sig in 9act.) RANK 15 NODE 9 --> 1.74254239 sigma out 1act.( 2.76686192 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 20.5687046 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.640149593 *** contribution from regularisation: 0.00537591334 *** contribution from error: -0.645525515 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done