NNInput NNInputs_185.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= 185448 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 = 37106 nbkg = 148342 Bkg Entries: 148342 Sig Entries: 37106 Chosen entries: 37106 Signal fraction: 1 Background fraction: 0.250138 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 148342 Actual Signal Entries: 37106 Entries to split: 37106 Test with : 18553 Train with : 18553 ********************************************* * 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= 37106 for Signal Prepared event 0 for Signal with 37106 events ====Entry 0 Variable Ht : 147.006 Variable LepAPt : 30.5393 Variable LepBPt : 15.4876 Variable MetSigLeptonsJets : 2.11691 Variable MetSpec : 17.0117 Variable SumEtLeptonsJets : 123.482 Variable VSumJetLeptonsPt : 38.8269 Variable addEt : 69.5511 Variable dPhiLepSumMet : 0.952509 Variable dPhiLeptons : 0.431247 Variable dRLeptons : 0.583611 Variable lep1_E : 46.6216 Variable lep2_E : 18.2884 ===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 = 2185 Ht = 147.006 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 30.5393 LepAPt = 30.5393 LepBEt = 15.4881 LepBPt = 15.4876 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 23.5237 MetDelPhi = 0.808389 MetSig = 1.71418 MetSigLeptonsJets = 2.11691 MetSpec = 17.0117 Mjj = 0 MostCentralJetEta = -1.43393 MtllMet = 76.1567 Njets = 1 SB = 0 SumEt = 188.32 SumEtJets = 0 SumEtLeptonsJets = 123.482 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 38.8269 addEt = 69.5511 dPhiLepSumMet = 0.952509 dPhiLeptons = 0.431247 dRLeptons = 0.583611 diltype = 52 dimass = 12.6791 event = 96 jet1_Et = 77.4552 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 46.6216 lep2_E = 18.2884 rand = 0.999742 run = 231298 weight = 2.74614e-06 ===Show End Prepared event 10000 for Signal with 37106 events Prepared event 20000 for Signal with 37106 events Prepared event 30000 for Signal with 37106 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 = 0.224633 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 4646 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 185448 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 4646 negative weights. Signal fraction: 62.9880486 % ------------------------------ 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 60.0046387 63.3749237 65.5955048 67.1897736 68.5311203 69.6191864 70.6471405 71.5003052 72.3742218 73.1646881 73.9673309 74.6843109 75.4415359 76.1820374 76.828537 77.4222107 78.123642 78.8142624 79.4021301 80.0104294 80.8320923 81.505249 82.3352509 83.0526123 83.7958069 84.8899155 85.9460678 86.8814468 88.201767 89.4665451 91.014801 92.5215836 94.2909546 95.4402771 97.1305695 98.9191895 100.560341 102.154472 103.867668 105.177551 106.745956 108.576996 110.475067 112.390137 114.384903 116.26442 117.930885 119.805923 121.631332 123.335358 125.184479 127.074799 128.632568 130.204285 131.910706 133.433517 135.084885 136.721893 138.317764 139.889328 141.469055 142.822037 144.447678 145.93692 147.591583 149.052948 150.775787 152.602478 154.337433 156.159485 157.835464 159.641083 161.546341 163.475159 165.482895 167.257111 169.35965 171.628845 173.786301 176.243256 178.513214 180.793152 183.491272 186.052551 189.015656 192.058395 195.202866 199.342178 203.327087 207.394653 211.744171 217.024109 222.604279 229.280518 236.340149 245.64801 257.088684 274.11438 295.528015 334.59668 807.860779 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.384407 20.7204857 21.0284691 21.3136978 21.5226326 21.7920799 22.0249844 22.2523746 22.4750881 22.7203903 22.9311295 23.1673985 23.34021 23.5482559 23.7970581 24.0270939 24.2493992 24.4844551 24.7234421 24.9534149 25.2011566 25.3831406 25.6130009 25.8096504 26.0451279 26.2738457 26.4973297 26.7253151 26.9976196 27.2065639 27.4752045 27.7556953 27.9997597 28.2301254 28.5122528 28.7933998 29.0846291 29.3630161 29.6661301 29.9415951 30.2610207 30.5457172 30.8427505 31.1118851 31.4209824 31.7323494 32.0078278 32.3357506 32.6663589 33.0030632 33.3060913 33.699295 34.082428 34.4981995 34.8789444 35.2799835 35.6341362 36.0090027 36.3819046 36.77211 37.1923752 37.6210938 38.0675964 38.5569839 39.0765457 39.5558968 40.0060349 40.4617462 40.9281693 41.4510193 41.9091568 42.4212112 42.9688416 43.514946 44.1620293 44.8066406 45.3965874 46.0532227 46.7298927 47.4951859 48.2347527 49.0163345 49.7811432 50.5986938 51.4276428 52.3124771 53.2898483 54.3737946 55.4186859 56.5349693 57.808918 59.2968903 60.7051697 62.2548828 64.1848145 66.4220428 69.4375305 74.8635864 84.1226196 215.283478 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1304855 10.2798862 10.4063034 10.5254555 10.653265 10.7845163 10.8972969 11.0393066 11.1875954 11.3539343 11.4772663 11.5844402 11.724762 11.8702068 12.0247707 12.1902866 12.3399649 12.4869051 12.6551628 12.8202591 12.9863262 13.1859064 13.3588409 13.5290823 13.6971283 13.8738232 14.0644989 14.2538548 14.4458389 14.6831932 14.89925 15.1462154 15.3450775 15.5031109 15.7070732 15.8957233 16.1401062 16.418457 16.6477795 16.8389816 17.101387 17.3710289 17.6038818 17.8646374 18.1428223 18.3904915 18.6437702 18.9070072 19.1173973 19.3956184 19.6445084 19.9206047 20.1706371 20.3720646 20.6289825 20.858139 21.0839119 21.2815475 21.5023766 21.7457867 21.9664726 22.2212906 22.4505901 22.7083855 22.944622 23.1808815 23.4427338 23.6920204 23.9722805 24.237463 24.516674 24.7885284 25.0736046 25.3485756 25.6532593 25.9478226 26.208477 26.5103569 26.8053322 27.143055 27.4739246 27.8195686 28.1130562 28.4833946 28.8982697 29.3028908 29.7359314 30.2302208 30.7254791 31.2785664 31.8261681 32.4631805 33.1383133 33.9233742 34.9063416 36.074398 37.6006165 39.8738556 44.3111801 95.9728546 ------------------------------ Transdef: Tab for variable 5 1.0204277 2.63957143 3.14785337 3.50894928 3.78785229 4.01004791 4.1539402 4.28455544 4.41706896 4.53865528 4.63716745 4.73567677 4.81942225 4.91117859 4.99489784 5.07142115 5.14719009 5.21945477 5.28731251 5.34725142 5.40549135 5.46882963 5.51996899 5.55885124 5.61382294 5.66466665 5.7151804 5.76444817 5.81065655 5.85207033 5.89955807 5.95191765 5.99508858 6.03665638 6.08515692 6.12514925 6.17130947 6.21673203 6.26217604 6.30716133 6.36047363 6.40408182 6.45673847 6.50207758 6.54432726 6.59202957 6.64199543 6.68893385 6.73631477 6.78644085 6.83565235 6.87869358 6.92450237 6.9755125 7.0281353 7.07901478 7.13733482 7.19683838 7.24516296 7.30021572 7.35373974 7.40595818 7.46383286 7.51983738 7.57015228 7.62797976 7.68812656 7.7486248 7.81400871 7.86836147 7.92746544 7.98907995 8.05161667 8.11357117 8.17516041 8.23198891 8.28969765 8.35602665 8.42472553 8.49405861 8.55874157 8.6352005 8.70764637 8.7786684 8.85371685 8.94496822 9.02783585 9.11068153 9.20625114 9.29898357 9.39889145 9.51817799 9.633955 9.77881527 9.94354057 10.1359949 10.3694515 10.7020359 11.1586609 11.9512596 21.1559963 ------------------------------ Transdef: Tab for variable 6 15.0042896 21.3518581 25.4096394 26.5616074 27.7054367 28.8140297 29.598156 30.4415359 31.1570625 31.7432785 32.35783 32.9067688 33.3845901 33.833374 34.4054756 34.7920837 35.2359543 35.6863403 36.0134659 36.4073334 36.7524796 37.1643295 37.6002502 37.9198494 38.3248787 38.6702957 39.0607262 39.4581757 39.8072548 40.2089653 40.6120491 40.9771729 41.3915329 41.8368301 42.3604012 42.8721008 43.2387161 43.7392502 44.2489548 44.7753067 45.2970009 45.8971901 46.601368 47.2811966 48.0343742 48.7861519 49.4903374 50.2999077 50.9190216 51.5706482 52.453022 53.2416267 54.0149078 54.7256355 55.51577 56.3414841 57.1052246 57.8103561 58.61483 59.4248886 60.2341347 61.1464157 61.9813004 62.7721405 63.6387444 64.5089569 65.3079071 66.0575409 66.8628845 67.7256393 68.5298309 69.3945694 70.1961975 70.979538 71.8031082 72.6852417 73.5600281 74.4203033 75.3810272 76.3404236 77.2848053 78.2628784 79.2395477 80.2170105 81.3462677 82.4851074 83.7151184 84.9286652 86.1508331 87.605423 89.3019714 90.8930054 92.8560028 95.1313477 97.638504 100.90509 104.829575 110.50219 118.666451 132.714447 280.646332 ------------------------------ Transdef: Tab for variable 7 30.1229668 32.648819 33.6419983 34.3401413 34.9589462 35.439888 35.9957962 36.4693069 36.8933029 37.293335 37.6609726 37.995369 38.2797089 38.6098404 38.8507614 39.1713409 39.4459496 39.7788925 40.1080856 40.4668121 40.8811226 41.2464828 41.6556396 42.0758553 42.510498 42.904068 43.4506111 44.2153625 44.812439 45.3732452 46.2908592 47.2338409 48.1693726 49.2424545 50.3529205 51.3970642 52.4765968 53.436451 54.515625 55.5455589 56.5857544 57.539505 58.6534195 59.5835114 60.5061722 61.2027664 62.1581764 63.0158653 63.9943619 64.818367 65.5880814 66.5608597 67.4688644 68.4648743 69.3116302 70.2312164 71.1405029 71.9983597 72.9162903 73.7534561 74.764267 75.8017426 76.7733459 77.7384796 78.7901764 80.0358429 81.124054 82.1816254 83.345932 84.6573105 86.0501099 87.3259201 88.7287598 90.2552643 91.6625671 93.4071121 95.0885468 96.766098 98.5667877 100.308861 102.358589 104.509415 106.589584 108.942474 111.430107 113.764549 116.822075 119.484901 122.750809 126.592529 130.257248 134.890198 139.260254 145.096252 151.926849 159.469879 168.724976 181.627777 200.620773 233.77298 631.615051 ------------------------------ Transdef: Tab for variable 8 3.10723281 25.3446693 29.7887611 31.33288 32.2700806 32.972435 33.6066132 34.0596695 34.4228058 34.8609352 35.2817993 35.7469711 36.0908699 36.4526291 36.7951508 37.0865784 37.3750381 37.6601944 37.9345779 38.1879654 38.4609642 38.7051086 39.0049019 39.2605171 39.5625687 39.8036957 40.1199112 40.4628754 40.8601456 41.2115784 41.5743141 41.9971123 42.449791 42.8180084 43.2519493 43.8071365 44.3019409 44.8432732 45.244278 45.9482803 46.6307144 47.2880325 48.0201416 48.5962753 49.2571335 49.9735069 50.709671 51.444561 52.1705742 52.9147491 53.5420227 54.3498764 55.129425 55.9430389 56.6744232 57.4082336 58.1878548 58.9164581 59.664505 60.4155655 61.1962852 61.9729843 62.668251 63.3743019 64.0497894 64.7802124 65.4406128 66.1100769 66.8391571 67.6163635 68.4237366 69.1721725 69.9811554 70.7037964 71.4552002 72.1784821 72.9616547 73.736908 74.6351166 75.5177307 76.3379059 77.3603668 78.2909393 79.0933685 80.1557999 81.2345428 82.4431076 83.6248932 84.8854065 86.3705292 87.8352814 89.4804993 91.5669556 93.8318253 96.8247375 100.346313 104.454941 110.080673 118.29184 133.624435 355.401855 ------------------------------ Transdef: Tab for variable 9 48.8581314 63.0213013 65.1264267 66.6132355 67.9178772 68.9189529 69.9401703 70.852417 71.6119843 72.4220734 73.1094589 73.9190292 74.4870605 75.1830521 75.7829361 76.4245605 76.9858856 77.4993744 78.0692139 78.66922 79.2112427 79.7427673 80.1969299 80.8814316 81.4663696 82.2011261 82.773941 83.4345703 84.2464066 85.0856323 85.9711151 86.690033 87.4329224 88.5577698 89.5519714 90.7181473 91.944519 93.185997 94.4337158 95.6053543 97.0893555 98.6760406 100.309189 101.735016 103.095337 104.631859 106.064163 107.489349 109.070236 110.550934 112.068756 113.395432 114.885124 116.461456 117.89138 119.355652 120.810295 122.16954 123.639709 125.050842 126.520164 127.721695 129.06897 130.285126 131.551025 132.839386 134.008865 135.231354 136.386108 137.599686 138.844223 140.065002 141.348236 142.489716 143.723129 144.95639 146.201324 147.393555 148.527161 149.951111 151.249939 152.7229 153.98822 155.529633 156.887955 158.320602 159.904633 161.657684 163.373077 165.022675 166.913452 169.141541 171.255066 173.657654 176.565155 179.932465 183.723465 188.806122 196.317917 217.188339 582.80835 ------------------------------ Transdef: Tab for variable 10 0.00602381537 1.07721615 1.38834774 1.61427581 1.76375914 1.88627505 1.98248172 2.06890082 2.1433754 2.20732474 2.26454401 2.32041407 2.36802101 2.41208982 2.44528699 2.48059225 2.51339316 2.54250002 2.57184219 2.60169172 2.62717605 2.65007877 2.66857815 2.6907692 2.70987129 2.72736907 2.74412203 2.75979137 2.77498531 2.79012299 2.80478311 2.81911969 2.83130169 2.84198117 2.85170507 2.86079407 2.86920953 2.87807226 2.88848543 2.89789486 2.90729094 2.91643572 2.9240675 2.93074393 2.93859768 2.9460628 2.95228529 2.95850301 2.96438622 2.9698534 2.9754281 2.98036432 2.98503256 2.99005556 2.99381709 2.99949932 3.00465322 3.00946546 3.01431823 3.01862669 3.02322435 3.02766991 3.03195524 3.03565598 3.03964281 3.04296494 3.0466485 3.05026126 3.05390739 3.05710888 3.06076336 3.06353855 3.06679034 3.06960988 3.07301378 3.07579517 3.078969 3.0820322 3.0845232 3.08781528 3.09054661 3.09313154 3.09585524 3.09880686 3.10153937 3.10432577 3.1066494 3.10904884 3.11188602 3.11427307 3.11676836 3.11964726 3.12228823 3.12470651 3.12731409 3.12934685 3.13211966 3.13448811 3.13683891 3.13924837 3.1415906 ------------------------------ Transdef: Tab for variable 11 6.91413879E-06 0.00523793697 0.010300396 0.0157524347 0.0217610598 0.0272044539 0.0328512192 0.0388329625 0.0451902747 0.0512162745 0.0576843023 0.0629467964 0.0691047311 0.0754346773 0.0815491676 0.087539196 0.0937829912 0.0982999802 0.104014024 0.109578133 0.114562511 0.119521737 0.124518096 0.130340427 0.135720372 0.140311599 0.145192504 0.151085258 0.155596852 0.16067481 0.16627574 0.171748593 0.176734865 0.182241023 0.187787533 0.192933202 0.198169768 0.204521745 0.209096849 0.214279413 0.219753981 0.225335956 0.231136501 0.236154079 0.241365075 0.247047424 0.252016544 0.25717327 0.262300491 0.266551971 0.27181989 0.277352571 0.281757236 0.287509561 0.292753994 0.29853785 0.30439055 0.309790641 0.315405011 0.322292984 0.328058124 0.33372885 0.34028542 0.346700788 0.352513134 0.358873755 0.36556828 0.371941924 0.377876222 0.384088278 0.390038967 0.39759469 0.404833972 0.411060154 0.417547226 0.424467444 0.431460977 0.437881708 0.445470065 0.454315603 0.46319896 0.471979499 0.478694975 0.489669472 0.499691308 0.509982944 0.521092772 0.533390641 0.547610223 0.558253169 0.572230995 0.585662484 0.602123916 0.619489551 0.636223853 0.657647967 0.686172247 0.716799915 0.760375381 0.82483989 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.100052632 0.118591785 0.133956715 0.147326887 0.159529626 0.170163006 0.1805989 0.191280097 0.199854106 0.208621353 0.21677658 0.225120813 0.232142285 0.239303052 0.246480152 0.253138721 0.25925988 0.26585722 0.27178821 0.278342426 0.283608645 0.289180994 0.294711351 0.300930738 0.306205273 0.311914027 0.317764997 0.324088395 0.330003381 0.335685253 0.341757327 0.347397506 0.352247119 0.356669158 0.362137675 0.367711604 0.373129934 0.378081083 0.383432597 0.388454914 0.39372319 0.398732126 0.40286389 0.407271028 0.411662072 0.416133046 0.420416236 0.424558461 0.429003477 0.433148861 0.436953902 0.440760493 0.444707811 0.449159533 0.454256147 0.458656967 0.462435663 0.467000335 0.471546412 0.475640774 0.47996819 0.484616905 0.489808619 0.494760513 0.499720663 0.505192041 0.510732532 0.516203821 0.522385955 0.528162837 0.533650339 0.539493144 0.545698166 0.552297771 0.558373094 0.564038694 0.570534825 0.57788372 0.585527897 0.593321562 0.600685358 0.608071089 0.617156267 0.626184464 0.63440299 0.645036042 0.654147387 0.665356159 0.674634933 0.685369253 0.697707176 0.710873723 0.723827958 0.737871766 0.752169251 0.771410704 0.793076158 0.818405271 0.855351925 0.88879317 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0262547 21.5696335 22.467308 23.113451 23.7256508 24.2446022 24.7871017 25.276226 25.7000504 26.1507225 26.6811199 27.0873642 27.4952736 27.8791485 28.3205452 28.6611328 29.0507145 29.446312 29.8119774 30.1341248 30.5398769 30.8519516 31.1570129 31.4855499 31.8574219 32.2346497 32.5392303 32.9392471 33.3022652 33.6751289 34.043457 34.344986 34.6402664 34.9849815 35.4117393 35.8067856 36.1725311 36.6039848 36.991188 37.3686676 37.782753 38.2131958 38.631855 39.003582 39.4774017 39.8812485 40.3512115 40.8731651 41.2747345 41.7429276 42.250515 42.7199287 43.1750793 43.5922432 44.0323486 44.5616417 45.1291428 45.620285 46.1846466 46.7130661 47.2177124 47.7373505 48.2875824 48.8894653 49.5067711 50.1534729 50.7711487 51.328804 51.994072 52.5812531 53.2582703 53.9345245 54.6611748 55.3013229 56.0165176 56.7048721 57.4583054 58.289341 58.9879761 59.8299179 60.6252708 61.4986038 62.4784317 63.4798965 64.4598083 65.5374298 66.8030853 67.966217 69.3410797 70.5163345 72.1268234 73.7559128 75.9287109 77.8627396 80.4148865 83.3583069 86.8702393 91.4586792 97.4754639 110.684326 394.478912 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7755051 11.1792612 11.6432323 11.9461937 12.3022642 12.5723724 12.8758793 13.2051296 13.5062103 13.7790775 14.0493078 14.312561 14.5936165 14.9020605 15.2513781 15.5588684 15.8133221 16.1157379 16.408329 16.6529541 16.9321976 17.2363071 17.5374451 17.7368793 18.0131035 18.2659187 18.5261784 18.7618446 19.0289497 19.2694035 19.5690308 19.8639069 20.1561317 20.4546394 20.7172947 21.0304565 21.3017502 21.5862923 21.8604298 22.105341 22.3738594 22.6278915 22.9118538 23.1823997 23.4514198 23.6813545 23.936657 24.194416 24.4866447 24.7559662 25.0152855 25.2650719 25.5559311 25.7655525 26.0231438 26.284256 26.5564632 26.8643074 27.1341171 27.4105759 27.6841927 27.9868851 28.2763405 28.5402222 28.8368034 29.1563816 29.4795914 29.8149605 30.1480331 30.4358616 30.8113403 31.1873684 31.5134048 31.8930836 32.2642288 32.6486664 33.055088 33.4395523 33.8604622 34.2736893 34.7097359 35.1861839 35.6871605 36.2646599 36.898262 37.5575714 38.2411766 38.9368858 39.760643 40.381443 41.3002243 42.2834244 43.3742294 44.7827377 46.4641762 48.4040298 51.0507812 55.1629219 62.1194153 122.221924 COVARIANCE MATRIX (IN PERCENT) 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 66.3 53.4 53.2 31.6 50.4 64.3 56.7 64.9 -26.0 -13.8 -26.2 26.6 28.2 2 66.3 100.0 71.1 61.3 38.3 70.5 94.8 77.1 92.5 -42.5 -23.0 -39.5 44.5 37.5 3 53.4 71.1 100.0 48.5 19.7 43.4 72.5 60.8 78.3 -12.8 -24.9 -44.6 72.5 28.6 4 53.2 61.3 48.5 100.0 15.7 37.3 63.0 51.9 64.9 -14.1 -28.1 -48.8 29.2 74.2 5 31.6 38.3 19.7 15.7 100.0 84.3 12.3 60.5 58.5 24.1 -8.9 -12.0 7.1 5.4 6 50.4 70.5 43.4 37.3 84.3 100.0 51.0 81.1 80.6 -6.2 -16.1 -25.4 23.5 20.2 7 64.3 94.8 72.5 63.0 12.3 51.0 100.0 69.0 82.0 -51.2 -21.5 -38.9 47.0 40.0 8 56.7 77.1 60.8 51.9 60.5 81.1 69.0 100.0 84.8 -9.8 -23.2 -36.7 38.1 32.0 9 64.9 92.5 78.3 64.9 58.5 80.6 82.0 84.8 100.0 -18.6 -26.2 -44.9 50.8 40.7 10 -26.0 -42.5 -12.8 -14.1 24.1 -6.2 -51.2 -9.8 -18.6 100.0 0.4 4.5 -5.3 -6.8 11 -13.8 -23.0 -24.9 -28.1 -8.9 -16.1 -21.5 -23.2 -26.2 0.4 100.0 60.1 -12.2 -17.5 12 -26.2 -39.5 -44.6 -48.8 -12.0 -25.4 -38.9 -36.7 -44.9 4.5 60.1 100.0 -23.5 -26.1 13 26.6 44.5 72.5 29.2 7.1 23.5 47.0 38.1 50.8 -5.3 -12.2 -23.5 100.0 49.0 14 28.2 37.5 28.6 74.2 5.4 20.2 40.0 32.0 40.7 -6.8 -17.5 -26.1 49.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 168.006546 TOTAL CORRELATION OF ALL VARIABLES 72.5674285 ROUND 1: MAX CORR ( 72.5672556) AFTER KILLING INPUT VARIABLE 8 CONTR 0.158408987 ROUND 2: MAX CORR ( 72.5666918) AFTER KILLING INPUT VARIABLE 2 CONTR 0.286060764 ROUND 3: MAX CORR ( 72.5615149) AFTER KILLING INPUT VARIABLE 6 CONTR 0.866781372 ROUND 4: MAX CORR ( 72.553436) AFTER KILLING INPUT VARIABLE 11 CONTR 1.08275737 ROUND 5: MAX CORR ( 72.4627349) AFTER KILLING INPUT VARIABLE 14 CONTR 3.62672565 ROUND 6: MAX CORR ( 72.1757767) AFTER KILLING INPUT VARIABLE 10 CONTR 6.44245285 ROUND 7: MAX CORR ( 71.7986807) AFTER KILLING INPUT VARIABLE 12 CONTR 7.36832365 ROUND 8: MAX CORR ( 71.1505726) AFTER KILLING INPUT VARIABLE 13 CONTR 9.62530897 ROUND 9: MAX CORR ( 70.197919) AFTER KILLING INPUT VARIABLE 9 CONTR 11.6041432 ROUND 10: MAX CORR ( 69.9729309) AFTER KILLING INPUT VARIABLE 3 CONTR 5.61576159 ROUND 11: MAX CORR ( 68.5776122) AFTER KILLING INPUT VARIABLE 4 CONTR 13.9040343 ROUND 12: MAX CORR ( 64.2607549) AFTER KILLING INPUT VARIABLE 5 CONTR 23.9466963 LAST REMAINING VARIABLE: 7 total correlation to target: 72.5674285 % total significance: 124.891697 sigma correlations of single variables to target: variable 2: 66.3209428 % , in sigma: 114.141224 variable 3: 53.3650548 % , in sigma: 91.8435779 variable 4: 53.1626629 % , in sigma: 91.4952526 variable 5: 31.6422936 % , in sigma: 54.457762 variable 6: 50.4230064 % , in sigma: 86.7801847 variable 7: 64.2607549 % , in sigma: 110.595551 variable 8: 56.6975458 % , in sigma: 97.5789397 variable 9: 64.9000041 % , in sigma: 111.695727 variable 10: -25.9852131 % , in sigma: 44.7216807 variable 11: -13.7568532 % , in sigma: 23.676142 variable 12: -26.2380695 % , in sigma: 45.1568576 variable 13: 26.6038537 % , in sigma: 45.7863881 variable 14: 28.1632623 % , in sigma: 48.470198 variables sorted by significance: 1 most relevant variable 7 corr 64.2607574 , in sigma: 110.595555 2 most relevant variable 5 corr 23.9466972 , in sigma: 41.2133063 3 most relevant variable 4 corr 13.9040346 , in sigma: 23.9294477 4 most relevant variable 3 corr 5.61576176 , in sigma: 9.66496997 5 most relevant variable 9 corr 11.6041431 , in sigma: 19.9712345 6 most relevant variable 13 corr 9.62530899 , in sigma: 16.565575 7 most relevant variable 12 corr 7.3683238 , in sigma: 12.6812054 8 most relevant variable 10 corr 6.44245291 , in sigma: 11.0877414 9 most relevant variable 14 corr 3.62672567 , in sigma: 6.24175245 10 most relevant variable 11 corr 1.08275735 , in sigma: 1.86347245 11 most relevant variable 6 corr 0.866781354 , in sigma: 1.49176837 12 most relevant variable 2 corr 0.28606075 , in sigma: 0.49232298 13 most relevant variable 8 corr 0.158408985 , in sigma: 0.272628745 global correlations between input variables: variable 2: 99.2494572 % variable 3: 94.3594718 % variable 4: 91.9316365 % variable 5: 95.3066537 % variable 6: 94.9339597 % variable 7: 98.897373 % variable 8: 91.0538941 % variable 9: 98.8792198 % variable 10: 72.4073412 % variable 11: 60.8421534 % variable 12: 72.1398537 % variable 13: 88.2176795 % variable 14: 88.9659637 % significance loss when removing single variables: variable 2: corr = 0.326143429 % , sigma = 0.561307012 variable 3: corr = 12.657469 % , sigma = 21.784054 variable 4: corr = 14.6906484 % , sigma = 25.2832441 variable 5: corr = 14.5799573 % , sigma = 25.09274 variable 6: corr = 0.880311714 % , sigma = 1.51505471 variable 7: corr = 8.32983186 % , sigma = 14.3360025 variable 8: corr = 0.158408987 % , sigma = 0.272628749 variable 9: corr = 7.97991938 % , sigma = 13.7337879 variable 10: corr = 6.22426333 % , sigma = 10.7122276 variable 11: corr = 1.0937645 % , sigma = 1.88241622 variable 12: corr = 5.79596735 % , sigma = 9.97511162 variable 13: corr = 4.67688463 % , sigma = 8.04912164 variable 14: corr = 3.52151529 % , sigma = 6.06068081 Keep only 9 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 10 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 22.5771732 sigma out 15 active outputs RANK 2 NODE 1 --> 19.8081322 sigma out 15 active outputs RANK 3 NODE 3 --> 17.58531 sigma out 15 active outputs RANK 4 NODE 4 --> 14.9883289 sigma out 15 active outputs RANK 5 NODE 5 --> 14.8314714 sigma out 15 active outputs RANK 6 NODE 10 --> 14.8027344 sigma out 15 active outputs RANK 7 NODE 9 --> 13.9889965 sigma out 15 active outputs RANK 8 NODE 8 --> 12.314887 sigma out 15 active outputs RANK 9 NODE 7 --> 9.19066525 sigma out 15 active outputs RANK 10 NODE 6 --> 8.41802883 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 27.3622608 sigma in 10act. ( 28.9903889 sig out 1act.) RANK 2 NODE 1 --> 22.8621674 sigma in 10act. ( 24.0462818 sig out 1act.) RANK 3 NODE 5 --> 18.0916309 sigma in 10act. ( 17.1205673 sig out 1act.) RANK 4 NODE 8 --> 13.9527016 sigma in 10act. ( 13.6503544 sig out 1act.) RANK 5 NODE 2 --> 13.2137384 sigma in 10act. ( 13.9674044 sig out 1act.) RANK 6 NODE 10 --> 11.693469 sigma in 10act. ( 11.382513 sig out 1act.) RANK 7 NODE 11 --> 8.34815121 sigma in 10act. ( 10.8458481 sig out 1act.) RANK 8 NODE 9 --> 8.03516006 sigma in 10act. ( 6.72675419 sig out 1act.) RANK 9 NODE 7 --> 7.35480833 sigma in 10act. ( 10.5368986 sig out 1act.) RANK 10 NODE 13 --> 5.79636765 sigma in 10act. ( 7.72869539 sig out 1act.) RANK 11 NODE 14 --> 4.71690512 sigma in 10act. ( 4.2747035 sig out 1act.) RANK 12 NODE 15 --> 3.28150034 sigma in 10act. ( 2.75641656 sig out 1act.) RANK 13 NODE 6 --> 3.18446708 sigma in 10act. ( 5.27060986 sig out 1act.) RANK 14 NODE 3 --> 2.3609817 sigma in 10act. ( 1.30129004 sig out 1act.) RANK 15 NODE 12 --> 1.54316318 sigma in 10act. ( 1.86738098 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 28.9903889 sigma out 1act.( 27.3622608 sig in 10act.) RANK 2 NODE 1 --> 24.0462818 sigma out 1act.( 22.8621674 sig in 10act.) RANK 3 NODE 5 --> 17.1205673 sigma out 1act.( 18.0916309 sig in 10act.) RANK 4 NODE 2 --> 13.9674044 sigma out 1act.( 13.2137384 sig in 10act.) RANK 5 NODE 8 --> 13.6503544 sigma out 1act.( 13.9527016 sig in 10act.) RANK 6 NODE 10 --> 11.382513 sigma out 1act.( 11.693469 sig in 10act.) RANK 7 NODE 11 --> 10.8458481 sigma out 1act.( 8.34815121 sig in 10act.) RANK 8 NODE 7 --> 10.5368986 sigma out 1act.( 7.35480833 sig in 10act.) RANK 9 NODE 13 --> 7.72869539 sigma out 1act.( 5.79636765 sig in 10act.) RANK 10 NODE 9 --> 6.72675419 sigma out 1act.( 8.03516006 sig in 10act.) RANK 11 NODE 6 --> 5.27060986 sigma out 1act.( 3.18446708 sig in 10act.) RANK 12 NODE 14 --> 4.2747035 sigma out 1act.( 4.71690512 sig in 10act.) RANK 13 NODE 15 --> 2.75641656 sigma out 1act.( 3.28150034 sig in 10act.) RANK 14 NODE 12 --> 1.86738098 sigma out 1act.( 1.54316318 sig in 10act.) RANK 15 NODE 3 --> 1.30129004 sigma out 1act.( 2.3609817 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 51.1393547 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 30.9996815 sigma out 15 active outputs RANK 2 NODE 1 --> 19.0242882 sigma out 15 active outputs RANK 3 NODE 3 --> 17.4767799 sigma out 15 active outputs RANK 4 NODE 10 --> 15.6712456 sigma out 15 active outputs RANK 5 NODE 5 --> 14.6202021 sigma out 15 active outputs RANK 6 NODE 4 --> 14.3575935 sigma out 15 active outputs RANK 7 NODE 9 --> 14.2603645 sigma out 15 active outputs RANK 8 NODE 8 --> 12.3370075 sigma out 15 active outputs RANK 9 NODE 6 --> 11.6826382 sigma out 15 active outputs RANK 10 NODE 7 --> 11.0272703 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 27.5067234 sigma in 10act. ( 26.9152241 sig out 1act.) RANK 2 NODE 1 --> 22.1341801 sigma in 10act. ( 21.4591103 sig out 1act.) RANK 3 NODE 5 --> 15.4521532 sigma in 10act. ( 15.1218615 sig out 1act.) RANK 4 NODE 12 --> 14.1670799 sigma in 10act. ( 5.64697838 sig out 1act.) RANK 5 NODE 6 --> 13.3488741 sigma in 10act. ( 7.22118235 sig out 1act.) RANK 6 NODE 7 --> 13.1448746 sigma in 10act. ( 11.5004158 sig out 1act.) RANK 7 NODE 2 --> 12.8625603 sigma in 10act. ( 12.1885395 sig out 1act.) RANK 8 NODE 11 --> 12.2317009 sigma in 10act. ( 10.6160831 sig out 1act.) RANK 9 NODE 8 --> 11.4090004 sigma in 10act. ( 11.1244469 sig out 1act.) RANK 10 NODE 13 --> 11.0223703 sigma in 10act. ( 7.97714138 sig out 1act.) RANK 11 NODE 10 --> 10.3842783 sigma in 10act. ( 10.2549047 sig out 1act.) RANK 12 NODE 3 --> 8.60796165 sigma in 10act. ( 2.94746566 sig out 1act.) RANK 13 NODE 9 --> 7.25549364 sigma in 10act. ( 5.24394131 sig out 1act.) RANK 14 NODE 14 --> 6.6179347 sigma in 10act. ( 3.78830624 sig out 1act.) RANK 15 NODE 15 --> 5.03788757 sigma in 10act. ( 2.69897699 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 26.9152241 sigma out 1act.( 27.5067234 sig in 10act.) RANK 2 NODE 1 --> 21.4591103 sigma out 1act.( 22.1341801 sig in 10act.) RANK 3 NODE 5 --> 15.1218615 sigma out 1act.( 15.4521532 sig in 10act.) RANK 4 NODE 2 --> 12.1885395 sigma out 1act.( 12.8625603 sig in 10act.) RANK 5 NODE 7 --> 11.5004158 sigma out 1act.( 13.1448746 sig in 10act.) RANK 6 NODE 8 --> 11.1244469 sigma out 1act.( 11.4090004 sig in 10act.) RANK 7 NODE 11 --> 10.6160831 sigma out 1act.( 12.2317009 sig in 10act.) RANK 8 NODE 10 --> 10.2549047 sigma out 1act.( 10.3842783 sig in 10act.) RANK 9 NODE 13 --> 7.97714138 sigma out 1act.( 11.0223703 sig in 10act.) RANK 10 NODE 6 --> 7.22118235 sigma out 1act.( 13.3488741 sig in 10act.) RANK 11 NODE 12 --> 5.64697838 sigma out 1act.( 14.1670799 sig in 10act.) RANK 12 NODE 9 --> 5.24394131 sigma out 1act.( 7.25549364 sig in 10act.) RANK 13 NODE 14 --> 3.78830624 sigma out 1act.( 6.6179347 sig in 10act.) RANK 14 NODE 3 --> 2.94746566 sigma out 1act.( 8.60796165 sig in 10act.) RANK 15 NODE 15 --> 2.69897699 sigma out 1act.( 5.03788757 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 47.3447113 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.49662593 *** contribution from regularisation: 0.00494067604 *** contribution from error: -0.501566589 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.544945419 *** contribution from regularisation: 0.00216703303 *** contribution from error: -0.547112465 *********************************************** -----------------> Test sample ENTER BFGS code START -50538.7933 -0.337036699 0.198865741 EXIT FROM BFGS code FG_START 0. -0.337036699 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.56331861 *** contribution from regularisation: 0.00206458825 *** contribution from error: -0.565383196 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -52233.1569 -0.337036699 -58.7495956 EXIT FROM BFGS code FG_LNSRCH 0. -0.354991764 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.583589375 *** contribution from regularisation: 0.00265351101 *** contribution from error: -0.586242914 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54112.7385 -0.354991764 -16.5150394 EXIT FROM BFGS code NEW_X -54112.7385 -0.354991764 -16.5150394 ENTER BFGS code NEW_X -54112.7385 -0.354991764 -16.5150394 EXIT FROM BFGS code FG_LNSRCH 0. -0.359145135 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.585671842 *** contribution from regularisation: 0.00263294997 *** contribution from error: -0.588304818 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54305.8334 -0.359145135 10.5021591 EXIT FROM BFGS code NEW_X -54305.8334 -0.359145135 10.5021591 ENTER BFGS code NEW_X -54305.8334 -0.359145135 10.5021591 EXIT FROM BFGS code FG_LNSRCH 0. -0.353533298 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.586585224 *** contribution from regularisation: 0.00260871835 *** contribution from error: -0.58919394 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54390.5287 -0.353533298 22.5228786 EXIT FROM BFGS code NEW_X -54390.5287 -0.353533298 22.5228786 ENTER BFGS code NEW_X -54390.5287 -0.353533298 22.5228786 EXIT FROM BFGS code FG_LNSRCH 0. -0.336856425 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.586929083 *** contribution from regularisation: 0.00258423295 *** contribution from error: -0.589513302 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54422.4135 -0.336856425 16.7275925 EXIT FROM BFGS code NEW_X -54422.4135 -0.336856425 16.7275925 ENTER BFGS code NEW_X -54422.4135 -0.336856425 16.7275925 EXIT FROM BFGS code FG_LNSRCH 0. -0.324083358 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.5871225 *** contribution from regularisation: 0.00254906388 *** contribution from error: -0.589671552 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54440.3481 -0.324083358 17.2111988 EXIT FROM BFGS code NEW_X -54440.3481 -0.324083358 17.2111988 ENTER BFGS code NEW_X -54440.3481 -0.324083358 17.2111988 EXIT FROM BFGS code FG_LNSRCH 0. -0.267190456 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.587464631 *** contribution from regularisation: 0.0024091599 *** contribution from error: -0.589873791 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54472.0717 -0.267190456 13.9069281 EXIT FROM BFGS code NEW_X -54472.0717 -0.267190456 13.9069281 ENTER BFGS code NEW_X -54472.0717 -0.267190456 13.9069281 EXIT FROM BFGS code FG_LNSRCH 0. -0.188735113 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 32.367321 sigma out 15 active outputs RANK 2 NODE 1 --> 19.2390709 sigma out 15 active outputs RANK 3 NODE 10 --> 14.1652565 sigma out 15 active outputs RANK 4 NODE 9 --> 10.4327173 sigma out 15 active outputs RANK 5 NODE 3 --> 10.0265512 sigma out 15 active outputs RANK 6 NODE 7 --> 8.62669277 sigma out 15 active outputs RANK 7 NODE 8 --> 8.56946754 sigma out 15 active outputs RANK 8 NODE 6 --> 8.45850945 sigma out 15 active outputs RANK 9 NODE 4 --> 8.15569496 sigma out 15 active outputs RANK 10 NODE 5 --> 8.0474329 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 24.0559025 sigma in 10act. ( 19.5486565 sig out 1act.) RANK 2 NODE 12 --> 18.3780499 sigma in 10act. ( 18.4379349 sig out 1act.) RANK 3 NODE 11 --> 16.8070412 sigma in 10act. ( 16.3354301 sig out 1act.) RANK 4 NODE 4 --> 15.9687099 sigma in 10act. ( 14.885747 sig out 1act.) RANK 5 NODE 1 --> 14.241395 sigma in 10act. ( 10.8375359 sig out 1act.) RANK 6 NODE 7 --> 13.2353382 sigma in 10act. ( 11.6802197 sig out 1act.) RANK 7 NODE 3 --> 10.2665119 sigma in 10act. ( 8.15424919 sig out 1act.) RANK 8 NODE 2 --> 7.77024508 sigma in 10act. ( 6.40940094 sig out 1act.) RANK 9 NODE 5 --> 6.92671299 sigma in 10act. ( 7.02600241 sig out 1act.) RANK 10 NODE 13 --> 6.433043 sigma in 10act. ( 4.08414888 sig out 1act.) RANK 11 NODE 8 --> 5.1709857 sigma in 10act. ( 4.66399574 sig out 1act.) RANK 12 NODE 10 --> 4.65462542 sigma in 10act. ( 3.82657862 sig out 1act.) RANK 13 NODE 14 --> 4.56751251 sigma in 10act. ( 2.88186431 sig out 1act.) RANK 14 NODE 15 --> 3.75875783 sigma in 10act. ( 2.62191796 sig out 1act.) RANK 15 NODE 9 --> 2.83694148 sigma in 10act. ( 0.491478413 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 19.5486565 sigma out 1act.( 24.0559025 sig in 10act.) RANK 2 NODE 12 --> 18.4379349 sigma out 1act.( 18.3780499 sig in 10act.) RANK 3 NODE 11 --> 16.3354301 sigma out 1act.( 16.8070412 sig in 10act.) RANK 4 NODE 4 --> 14.885747 sigma out 1act.( 15.9687099 sig in 10act.) RANK 5 NODE 7 --> 11.6802197 sigma out 1act.( 13.2353382 sig in 10act.) RANK 6 NODE 1 --> 10.8375359 sigma out 1act.( 14.241395 sig in 10act.) RANK 7 NODE 3 --> 8.15424919 sigma out 1act.( 10.2665119 sig in 10act.) RANK 8 NODE 5 --> 7.02600241 sigma out 1act.( 6.92671299 sig in 10act.) RANK 9 NODE 2 --> 6.40940094 sigma out 1act.( 7.77024508 sig in 10act.) RANK 10 NODE 8 --> 4.66399574 sigma out 1act.( 5.1709857 sig in 10act.) RANK 11 NODE 13 --> 4.08414888 sigma out 1act.( 6.433043 sig in 10act.) RANK 12 NODE 10 --> 3.82657862 sigma out 1act.( 4.65462542 sig in 10act.) RANK 13 NODE 14 --> 2.88186431 sigma out 1act.( 4.56751251 sig in 10act.) RANK 14 NODE 15 --> 2.62191796 sigma out 1act.( 3.75875783 sig in 10act.) RANK 15 NODE 9 --> 0.491478413 sigma out 1act.( 2.83694148 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 41.1078186 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.587608099 *** contribution from regularisation: 0.00234572403 *** contribution from error: -0.58995384 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54485.3714 -0.188735113 24.6624908 EXIT FROM BFGS code NEW_X -54485.3714 -0.188735113 24.6624908 ENTER BFGS code NEW_X -54485.3714 -0.188735113 24.6624908 EXIT FROM BFGS code FG_LNSRCH 0. 0.0543680154 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.587375045 *** contribution from regularisation: 0.00206458592 *** contribution from error: -0.589439631 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54463.7642 0.0543680154 -48.2728844 EXIT FROM BFGS code FG_LNSRCH 0. -0.10793715 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.587462842 *** contribution from regularisation: 0.0026013907 *** contribution from error: -0.590064228 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54471.9049 -0.10793715 2.6680541 EXIT FROM BFGS code FG_LNSRCH 0. -0.175574809 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.587463915 *** contribution from regularisation: 0.00252717105 *** contribution from error: -0.589991093 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54472.0036 -0.175574809 21.1295109 EXIT FROM BFGS code FG_LNSRCH 0. -0.188040152 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.587477624 *** contribution from regularisation: 0.00247836066 *** contribution from error: -0.589955986 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54473.2746 -0.188040152 24.3878174 EXIT FROM BFGS code FG_LNSRCH 0. -0.188732311 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.587467313 *** contribution from regularisation: 0.00248649484 *** contribution from error: -0.58995378 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54472.3193 -0.188732311 24.5670795 EXIT FROM BFGS code FG_LNSRCH 0. -0.188735113 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.587478578 *** contribution from regularisation: 0.00247525331 *** contribution from error: -0.58995384 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54473.3609 -0.188735113 24.551281 EXIT FROM BFGS code FG_LNSRCH 0. -0.188735113 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.58747983 *** contribution from regularisation: 0.00247399951 *** contribution from error: -0.58995384 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54473.4772 -0.188735113 24.5367928 EXIT FROM BFGS code FG_LNSRCH 0. -0.188735113 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.587484181 *** contribution from regularisation: 0.00246960879 *** contribution from error: -0.58995378 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54473.8843 -0.188735113 24.5338039 EXIT FROM BFGS code FG_LNSRCH 0. -0.188735113 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.587470293 *** contribution from regularisation: 0.00248353695 *** contribution from error: -0.58995384 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54472.5928 -0.188735113 24.513361 EXIT FROM BFGS code NEW_X -54472.5928 -0.188735113 24.513361 ENTER BFGS code NEW_X -54472.5928 -0.188735113 24.513361 EXIT FROM BFGS code CONVERGENC -54472.5928 -0.188735113 24.513361 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 53.9206429 sigma out 15 active outputs RANK 2 NODE 1 --> 33.3751984 sigma out 15 active outputs RANK 3 NODE 10 --> 24.2259045 sigma out 15 active outputs RANK 4 NODE 9 --> 17.4483967 sigma out 15 active outputs RANK 5 NODE 3 --> 16.5999622 sigma out 15 active outputs RANK 6 NODE 7 --> 14.6907177 sigma out 15 active outputs RANK 7 NODE 8 --> 14.3597736 sigma out 15 active outputs RANK 8 NODE 4 --> 14.3076057 sigma out 15 active outputs RANK 9 NODE 6 --> 13.4625444 sigma out 15 active outputs RANK 10 NODE 5 --> 13.0575256 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 41.3839569 sigma in 10act. ( 34.4144669 sig out 1act.) RANK 2 NODE 12 --> 30.2879486 sigma in 10act. ( 32.9022369 sig out 1act.) RANK 3 NODE 11 --> 29.3922024 sigma in 10act. ( 28.2162132 sig out 1act.) RANK 4 NODE 4 --> 27.4133778 sigma in 10act. ( 26.2958832 sig out 1act.) RANK 5 NODE 1 --> 24.5553703 sigma in 10act. ( 18.7539825 sig out 1act.) RANK 6 NODE 7 --> 22.1070709 sigma in 10act. ( 20.4508934 sig out 1act.) RANK 7 NODE 3 --> 16.5936909 sigma in 10act. ( 14.4143438 sig out 1act.) RANK 8 NODE 2 --> 12.4290056 sigma in 10act. ( 11.243082 sig out 1act.) RANK 9 NODE 5 --> 10.9312706 sigma in 10act. ( 12.3908739 sig out 1act.) RANK 10 NODE 13 --> 8.84446716 sigma in 10act. ( 7.20090246 sig out 1act.) RANK 11 NODE 8 --> 8.36323071 sigma in 10act. ( 7.93319178 sig out 1act.) RANK 12 NODE 10 --> 7.25220013 sigma in 10act. ( 6.52189159 sig out 1act.) RANK 13 NODE 14 --> 6.52733374 sigma in 10act. ( 4.89588499 sig out 1act.) RANK 14 NODE 15 --> 5.28686476 sigma in 10act. ( 4.54811192 sig out 1act.) RANK 15 NODE 9 --> 2.99795151 sigma in 10act. ( 0.869912624 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 34.4144669 sigma out 1act.( 41.3839569 sig in 10act.) RANK 2 NODE 12 --> 32.9022369 sigma out 1act.( 30.2879486 sig in 10act.) RANK 3 NODE 11 --> 28.2162132 sigma out 1act.( 29.3922024 sig in 10act.) RANK 4 NODE 4 --> 26.2958832 sigma out 1act.( 27.4133778 sig in 10act.) RANK 5 NODE 7 --> 20.4508934 sigma out 1act.( 22.1070709 sig in 10act.) RANK 6 NODE 1 --> 18.7539825 sigma out 1act.( 24.5553703 sig in 10act.) RANK 7 NODE 3 --> 14.4143438 sigma out 1act.( 16.5936909 sig in 10act.) RANK 8 NODE 5 --> 12.3908739 sigma out 1act.( 10.9312706 sig in 10act.) RANK 9 NODE 2 --> 11.243082 sigma out 1act.( 12.4290056 sig in 10act.) RANK 10 NODE 8 --> 7.93319178 sigma out 1act.( 8.36323071 sig in 10act.) RANK 11 NODE 13 --> 7.20090246 sigma out 1act.( 8.84446716 sig in 10act.) RANK 12 NODE 10 --> 6.52189159 sigma out 1act.( 7.25220013 sig in 10act.) RANK 13 NODE 14 --> 4.89588499 sigma out 1act.( 6.52733374 sig in 10act.) RANK 14 NODE 15 --> 4.54811192 sigma out 1act.( 5.28686476 sig in 10act.) RANK 15 NODE 9 --> 0.869912624 sigma out 1act.( 2.99795151 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 72.2145538 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.587488532 *** contribution from regularisation: 0.00246526999 *** contribution from error: -0.58995378 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done