NNInput NNInputs_195.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= 167547 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 = 25842 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 25842 Chosen entries: 25842 Signal fraction: 1 Background fraction: 0.182365 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 25842 Entries to split: 25842 Test with : 12921 Train with : 12921 ********************************************* * 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= 25842 for Signal Prepared event 0 for Signal with 25842 events ====Entry 0 Variable Ht : 225.901 Variable LepAPt : 63.638 Variable LepBPt : 23.389 Variable MetSigLeptonsJets : 9.51092 Variable MetSpec : 104.705 Variable SumEtLeptonsJets : 121.196 Variable VSumJetLeptonsPt : 96.1224 Variable addEt : 191.732 Variable dPhiLepSumMet : 2.687 Variable dPhiLeptons : 0.342211 Variable dRLeptons : 0.346978 Variable lep1_E : 71.8454 Variable lep2_E : 25.7459 ===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 = 2195 Ht = 225.901 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 63.6382 LepAPt = 63.638 LepBEt = 23.389 LepBPt = 23.389 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 104.705 MetDelPhi = 2.13998 MetSig = 7.54777 MetSigLeptonsJets = 9.51092 MetSpec = 104.705 Mjj = 0 MostCentralJetEta = 2.45448 MtllMet = 197.429 Njets = 1 SB = 0 SumEt = 192.44 SumEtJets = 0 SumEtLeptonsJets = 121.196 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 96.1224 addEt = 191.732 dPhiLepSumMet = 2.687 dPhiLeptons = 0.342211 dRLeptons = 0.346978 diltype = 47 dimass = 13.3241 event = 561 jet1_Et = 34.1693 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 71.8454 lep2_E = 25.7459 rand = 0.999742 run = 228576 weight = 1.92787e-06 ===Show End Prepared event 10000 for Signal with 25842 events Prepared event 20000 for Signal with 25842 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= 141705 for Background Prepared event 0 for Background with 141705 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 = 0.146241 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 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepared event 110000 for Background with 141705 events Prepared event 120000 for Background with 141705 events Prepared event 130000 for Background with 141705 events Prepared event 140000 for Background with 141705 events Warning: found 4397 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 167547 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 4397 negative weights. Signal fraction: 63.0369797 % ------------------------------ 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 47.3116226 62.4070358 64.7480545 66.669075 68.1225739 69.3138046 70.2880936 71.0274353 71.7827759 72.7310257 73.4911499 74.1497269 74.8625793 75.5344238 76.1918259 76.9467773 77.5769806 78.2075272 78.889328 79.5166626 80.1813354 80.9153137 81.6358871 82.4473724 83.2756805 84.1238251 85.1745605 86.2258759 87.5502167 88.6533813 90.0053406 91.6535492 93.034668 94.8330231 96.2909241 97.9254532 99.4782562 100.756172 102.575714 104.119644 105.768822 107.399239 108.896759 110.676971 112.251694 114.003036 115.799896 117.698517 119.44986 121.203049 122.879242 124.626053 126.266266 128.106934 129.745255 131.443268 133.021362 134.594315 136.232727 137.799408 139.506897 141.265198 143.051605 144.467545 146.017593 147.838394 149.394104 151.226715 153.04303 154.961105 156.693909 158.716064 160.620605 162.533142 164.630371 166.552765 168.51796 170.553238 172.61908 175.025909 177.575775 180.320038 182.892456 185.599884 188.782486 191.492737 194.836746 198.587067 202.563675 206.711731 211.245331 216.521271 222.145081 227.946136 235.205353 243.866272 255.043091 270.205383 288.477661 327.960876 850.621887 ------------------------------ Transdef: Tab for variable 3 20.0001068 20.3226986 20.6370049 20.9523602 21.2246399 21.5007458 21.7188683 21.9699974 22.1911316 22.4004955 22.6412582 22.8644371 23.0694809 23.2479248 23.4458008 23.6396732 23.8342972 24.0752945 24.333313 24.5442715 24.7839527 24.9866638 25.2428894 25.4614029 25.6442146 25.8295708 26.0582447 26.301178 26.5187187 26.7620659 27.0199852 27.2575607 27.5064697 27.7225666 27.9684677 28.163662 28.4307652 28.6791973 28.9088707 29.164793 29.4148788 29.6838608 29.9398212 30.1682243 30.5132294 30.7599354 31.0923252 31.4408875 31.7463455 32.0788651 32.4097595 32.7835007 33.1650391 33.5655594 33.936779 34.3408661 34.7701035 35.1882896 35.5991631 36.0267868 36.4607086 36.8440704 37.2382889 37.6909218 38.1635284 38.6391792 39.1401253 39.6646194 40.2224007 40.7420425 41.2625732 41.9206886 42.5316925 43.087059 43.5999031 44.2231064 44.8668289 45.5883408 46.2798042 46.9281387 47.6385803 48.4717102 49.3777351 50.2522545 51.1704254 52.1910706 53.1333466 54.1884346 55.3464508 56.6004753 57.9685059 59.3696861 60.9549255 62.5082321 64.4866257 66.5605927 69.1640396 72.0599365 76.1303024 83.5935287 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0000381 10.1384754 10.2814198 10.3803062 10.4900455 10.6159286 10.7502146 10.8806667 10.9959269 11.1013184 11.2546196 11.3840866 11.5141754 11.6735172 11.8373947 12.0065374 12.152997 12.3037357 12.4438305 12.6123581 12.7776394 12.9669361 13.1565838 13.3545361 13.4958401 13.6616421 13.7998352 13.9600058 14.1417637 14.3172436 14.487669 14.6973476 14.905035 15.1250439 15.3210793 15.4948635 15.6621943 15.8365726 16.0432205 16.2755051 16.498291 16.7182503 16.9186611 17.1351795 17.3595676 17.6263542 17.8376312 18.0780735 18.334156 18.535984 18.7664528 18.9858513 19.2114697 19.4399338 19.6819878 19.8810272 20.1003456 20.2531242 20.3831463 20.5623894 20.7499332 20.9693832 21.1882401 21.3932781 21.6123466 21.8174248 22.035965 22.262558 22.4817867 22.7303085 22.9662952 23.1904907 23.4082375 23.6713428 23.9102859 24.1577759 24.3904591 24.6594391 24.9865532 25.2599907 25.5289268 25.8463821 26.1415577 26.4894943 26.8520222 27.1961136 27.6019707 27.9931221 28.3783875 28.811573 29.2361603 29.7547131 30.3078537 31.0218735 31.7567177 32.518856 33.6054077 34.9164429 36.8050003 40.6089897 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.1656847 2.66334677 3.03356981 3.30940056 3.57887673 3.77949858 3.97468662 4.12750435 4.24393845 4.36694622 4.49180794 4.59645557 4.68388367 4.79136992 4.87625313 4.9727807 5.03782558 5.11001492 5.17492771 5.24577522 5.30311203 5.36480761 5.41102123 5.46112108 5.5129528 5.55902719 5.61234426 5.66385174 5.71427011 5.76705742 5.81452942 5.86607838 5.90981007 5.96622658 6.00545883 6.04827213 6.09404993 6.14307117 6.19234276 6.23276043 6.27834797 6.31622314 6.35519361 6.4011879 6.4472456 6.50068998 6.55156708 6.60460615 6.64241314 6.69365025 6.74739981 6.79101658 6.84015656 6.88949203 6.94876194 6.99900723 7.0556097 7.11343956 7.17116833 7.2234087 7.27740192 7.32859373 7.38897943 7.4489007 7.51239395 7.56598091 7.62483263 7.69054031 7.75199127 7.81643772 7.8702445 7.92644978 7.98788786 8.05725574 8.11988068 8.18467045 8.24470043 8.32422924 8.39383125 8.46302032 8.54331017 8.61008263 8.68370247 8.75180817 8.8228035 8.89718151 8.98437881 9.06695747 9.17680359 9.28795528 9.40537834 9.49983025 9.6233902 9.75568295 9.91308784 10.1134071 10.3493986 10.654377 11.0525885 11.7957487 17.5202084 ------------------------------ Transdef: Tab for variable 6 15.0119848 20.4984703 25.0984955 26.1029892 27.0723267 27.8291321 28.8050423 29.5362873 30.3101616 31.027895 31.5968304 32.1409225 32.6550217 33.0993881 33.629879 34.1451569 34.6127777 35.0476456 35.5210648 35.924202 36.2751732 36.6023827 36.9857101 37.3803635 37.7036133 38.0535355 38.4644394 38.7804451 39.1572418 39.5588341 39.9926071 40.408371 40.7922668 41.1857338 41.6744576 42.1296463 42.5751343 43.017292 43.3335876 43.837719 44.3828506 44.8103867 45.4309387 45.9779701 46.6783295 47.38797 48.0324516 48.742012 49.362587 50.1358871 50.7751236 51.5169945 52.4674149 53.2415581 54.1356506 54.9126854 55.7119141 56.5509109 57.284626 58.0975723 58.8415527 59.770031 60.5777435 61.3948097 62.1957016 63.0818329 63.9607162 64.8035431 65.6552277 66.5152893 67.4116974 68.2788849 69.1802368 70.0820236 70.9430542 71.8476181 72.7513275 73.7681885 74.7321167 75.7275085 76.7246399 77.6807709 78.8072968 79.8795624 81.0475006 82.3416443 83.5438538 84.9506378 86.2950897 87.9039459 89.6456833 91.3899536 93.4690857 95.7191391 98.2290726 101.401352 105.942551 111.333252 118.642136 131.271133 236.562576 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.8411026 33.7415504 34.3971329 35.0774765 35.600975 36.0794449 36.4411774 36.8559113 37.2757988 37.6065903 37.9694214 38.2829399 38.5900192 38.8507233 39.1714439 39.4036713 39.696022 40.0603409 40.3894043 40.6928329 41.0044823 41.4214249 41.7708206 42.1348877 42.6022301 43.1141281 43.8108826 44.5232964 45.0979233 45.988636 46.8519363 47.7361755 48.7224121 49.6257019 50.7820053 51.8398628 52.9586182 53.9331131 55.2125244 56.241188 57.27034 58.2238312 59.1186523 59.9936867 61.0040283 61.7944946 62.6337967 63.4664803 64.2847748 65.1973267 66.1920776 67.0287781 67.8977356 68.8670959 69.9573059 70.8778534 71.8084869 72.752533 73.5768967 74.6233978 75.8236313 76.9001312 78.1951599 79.1762466 80.1998596 81.3447113 82.4215698 83.6646042 84.9469452 86.2002258 87.3876343 88.855278 90.2680588 91.7104645 93.2953873 95.016098 96.7471695 98.6334381 100.489471 102.450333 104.425346 106.434143 108.553879 110.76413 113.409302 116.298363 119.269043 122.403603 126.142487 129.684158 134.152954 138.740936 144.475372 150.142456 156.555603 166.080902 179.095932 196.063141 223.537354 533.67572 ------------------------------ Transdef: Tab for variable 8 2.91631722 24.3395329 28.9309273 30.7523689 31.8168278 32.599411 33.2051353 33.7390289 34.1571655 34.6286011 35.0149231 35.3606033 35.7801056 36.1160431 36.4755173 36.7168961 37.0239029 37.2721329 37.5508308 37.8296127 38.1238327 38.4455528 38.6858521 38.9328804 39.1857376 39.4722595 39.7552376 40.0557594 40.3831444 40.6848831 40.9808769 41.3260078 41.6563339 42.0273972 42.467556 42.9548035 43.4723091 44.0246887 44.569664 45.1302948 45.6790237 46.3521042 47.0304031 47.7055054 48.260849 48.836319 49.5239334 50.2228508 51.0391388 51.8016663 52.6049728 53.2510834 53.969017 54.8670197 55.6088409 56.4056702 57.1371574 57.9149551 58.608017 59.3008347 60.1028175 60.805748 61.54282 62.2343674 62.9100761 63.6588516 64.4129944 65.1830978 65.9757385 66.6777496 67.4438629 68.1526031 68.9586182 69.8586731 70.7145386 71.5228577 72.3206635 73.1147614 74.0119781 74.9917908 75.9018555 76.9772263 77.9406052 78.8428497 79.940567 81.2462311 82.46492 83.6910095 85.146347 86.5369568 88.3245697 90.1051941 92.1489258 94.4304504 96.9288483 100.32592 104.625084 109.699615 117.767319 133.283051 344.837463 ------------------------------ Transdef: Tab for variable 9 47.3116226 61.7603912 64.1330948 65.981781 67.2969742 68.4872284 69.4475708 70.3134995 70.9452057 71.6428833 72.3724976 73.2206268 73.8709946 74.3730469 75.0821381 75.5853729 76.1918259 76.8697357 77.3622589 77.9534683 78.4775848 79.0757141 79.6038971 80.1799622 80.831955 81.3829575 82.0359497 82.6927261 83.4714355 84.1355896 84.9077835 85.8314056 86.690033 87.4890442 88.4488831 89.3321228 90.4242706 91.8446045 92.9788666 94.236908 95.572525 96.8657684 98.2483749 99.5157623 100.918968 102.435822 104.013901 105.434387 106.701714 108.137497 109.489334 110.98671 112.37394 113.741577 115.065292 116.441589 117.837395 119.384369 120.641655 121.986656 123.353928 124.681519 126.03054 127.313766 128.575897 129.850159 131.225922 132.369644 133.743439 134.953278 136.233261 137.544189 138.871979 140.094162 141.31456 142.590302 143.930908 145.196045 146.424622 147.83548 149.332794 150.740509 152.12352 153.704987 155.500061 156.876465 158.916351 160.69342 162.702118 164.7388 166.765015 168.897781 171.422211 174.225723 177.287933 180.849701 184.928696 190.37709 197.312607 211.226227 424.390259 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.02024937 1.34326506 1.54396796 1.71265197 1.84209251 1.94685793 2.04528069 2.11369419 2.18295956 2.23649216 2.28925467 2.33857059 2.38170958 2.42470336 2.45795727 2.48872232 2.5175457 2.54586887 2.57257938 2.60058999 2.62460804 2.64791751 2.67124557 2.69269419 2.7118001 2.72797537 2.74700212 2.76467323 2.77924562 2.79353285 2.80776358 2.82067299 2.83189631 2.84198117 2.8527689 2.86339855 2.87313175 2.88306022 2.8924489 2.90088773 2.90989065 2.91735744 2.92407513 2.93145275 2.93923521 2.94636655 2.95265985 2.95961547 2.96591759 2.97282243 2.97813487 2.98384142 2.98904705 2.99334383 2.99790955 3.00263786 3.00744247 3.01242757 3.01685119 3.02209282 3.02618361 3.02991581 3.0340147 3.03787088 3.04217052 3.04574704 3.04981422 3.05327129 3.05677128 3.0599637 3.06293678 3.06641102 3.07002401 3.07317781 3.07566404 3.07872033 3.08176136 3.08474851 3.08749962 3.0903492 3.09331751 3.0956974 3.09825182 3.10099268 3.10369825 3.10592747 3.10899162 3.1118803 3.11438894 3.11670041 3.11903715 3.12137842 3.12416029 3.12686133 3.12973523 3.13208103 3.13399482 3.13644218 3.13894129 3.1415844 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.00583517551 0.0096731782 0.01577425 0.0221726969 0.0284038782 0.0356401801 0.0424883366 0.0508061647 0.0581021309 0.0650129989 0.0727843195 0.0797386169 0.088037014 0.0954943299 0.102760434 0.109736562 0.116767049 0.123629808 0.131212562 0.138711989 0.145518482 0.153148219 0.158730805 0.16515708 0.172223866 0.178661898 0.184422731 0.190178037 0.196281403 0.20127058 0.205524445 0.210413337 0.215833426 0.221757025 0.226812035 0.231601715 0.236590087 0.242404073 0.247318178 0.252597362 0.257392317 0.261683822 0.266757846 0.2716043 0.277088046 0.281945705 0.287544608 0.292720735 0.297643751 0.302934527 0.308487296 0.313337088 0.318740308 0.3238222 0.330486953 0.335883558 0.341212183 0.345476866 0.350484312 0.356559753 0.361422926 0.367038965 0.37274754 0.378663659 0.385779321 0.392271399 0.398448914 0.403750896 0.409746051 0.416046947 0.421811044 0.427661419 0.434243441 0.440696687 0.447830915 0.454563141 0.461338848 0.469053388 0.476104498 0.483820021 0.494260073 0.503821135 0.512578189 0.522251666 0.530803263 0.542396784 0.552247703 0.565232635 0.577879667 0.591971874 0.607229948 0.625007629 0.640120029 0.660221577 0.682240844 0.71126771 0.735735774 0.78560853 0.851924002 1.1301049 ------------------------------ Transdef: Tab for variable 12 0.200001657 0.211500406 0.221977919 0.231083214 0.240033567 0.248432249 0.255452454 0.262672186 0.268981457 0.275657326 0.282350063 0.289082766 0.295122892 0.30045557 0.306726098 0.312972546 0.318059564 0.324018478 0.329656214 0.335424513 0.340927243 0.345706671 0.350250542 0.355658591 0.359822601 0.365403712 0.370815486 0.375596523 0.381010443 0.38681978 0.392421216 0.397495002 0.401243001 0.405132055 0.408685446 0.412650406 0.416605651 0.420063615 0.423255682 0.426968157 0.430789292 0.434618115 0.437990129 0.441523015 0.445500523 0.449169278 0.453444183 0.457611859 0.460947752 0.46511519 0.469019592 0.472561181 0.47657901 0.480862767 0.484642982 0.48851949 0.493150115 0.497151911 0.500987768 0.505520284 0.510530591 0.515530288 0.520046115 0.524362326 0.529434025 0.534177423 0.539566159 0.545231342 0.550033867 0.555295944 0.56033659 0.566861272 0.572729588 0.578800201 0.585219741 0.591555715 0.597841144 0.604618907 0.61171937 0.61912477 0.627211571 0.634408295 0.641665816 0.649873316 0.659099102 0.666951418 0.675819397 0.685766339 0.697426856 0.71005702 0.72166419 0.736074686 0.748013496 0.762507439 0.779060245 0.796390414 0.817056298 0.837065935 0.865848243 0.904303432 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.0123215 21.6157284 22.3968391 23.0504913 23.6373291 24.2987537 24.8223915 25.3007965 25.749033 26.15979 26.7277775 27.1512871 27.5485992 27.9342804 28.3641376 28.7811966 29.1301727 29.4571342 29.807869 30.1824055 30.5606499 30.8750687 31.1537933 31.6091766 31.9773102 32.3630905 32.7163124 33.1077156 33.5419197 33.9440689 34.3449249 34.5783844 35.0098572 35.4083862 35.8422394 36.2304916 36.696888 37.113533 37.5900726 37.9787903 38.431839 38.9191017 39.3501816 39.7777786 40.205513 40.6510391 41.1465836 41.6537704 42.1941376 42.7527809 43.1826591 43.6713104 44.2399368 44.762146 45.2730255 45.8403435 46.363205 46.8355675 47.3381577 47.8292542 48.4131393 48.942627 49.4912796 50.092514 50.7424164 51.3443222 52.0408173 52.7050209 53.4746094 54.1675491 54.8511925 55.5043793 56.2809982 57.0916634 57.7848969 58.540062 59.2779655 60.1904297 61.0177917 61.9352455 62.8637772 63.9226685 64.8652191 65.911026 66.9371338 67.9149017 69.3067856 70.4780579 71.8613205 73.2282028 74.5849915 76.3394623 78.3907318 80.5827026 83.200119 86.538681 89.9120865 94.1047211 99.5989532 110.046547 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.6949396 11.0988617 11.497015 11.8678989 12.301939 12.5604277 12.9537449 13.3263035 13.627141 13.8870382 14.1564617 14.5205688 14.8524628 15.16679 15.4397268 15.7445974 16.0057869 16.3194351 16.6078224 16.8898163 17.1369324 17.3532772 17.6628208 17.8880463 18.1673088 18.4425869 18.693491 18.9738846 19.1871681 19.4721527 19.7686539 20.0277061 20.2799759 20.5357113 20.766983 20.9972343 21.235424 21.4998856 21.7190189 21.9340992 22.1693153 22.3966465 22.6466293 22.9176674 23.1416969 23.3959885 23.608551 23.8670235 24.1446915 24.3919334 24.6039085 24.8506184 25.0950871 25.3456383 25.5553436 25.8032856 26.0531273 26.2998161 26.5358105 26.804245 27.0670891 27.3137474 27.6029739 27.8478546 28.0946999 28.3484039 28.6266289 28.9173241 29.2418137 29.5246983 29.8106155 30.0989056 30.4644165 30.8492985 31.1844292 31.5442657 31.9274826 32.289444 32.7130547 33.1433792 33.5871658 33.9905167 34.4333878 34.9447861 35.4883118 36.0201683 36.6497345 37.3115616 38.012516 38.9231186 39.8669968 40.7570648 41.9791069 43.467495 45.0283813 47.1795502 49.9021835 53.4051971 59.6842804 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 67.1 52.3 51.6 32.7 51.3 64.4 56.5 65.2 -26.3 -16.9 -40.6 19.7 17.9 2 67.1 100.0 69.7 56.0 40.8 71.5 94.8 77.0 92.1 -43.3 -25.6 -52.8 38.6 24.7 3 52.3 69.7 100.0 41.6 21.8 44.1 70.7 60.3 77.6 -12.5 -28.9 -59.7 68.9 15.9 4 51.6 56.0 41.6 100.0 14.0 33.5 58.0 45.5 58.5 -13.7 -27.6 -59.6 19.1 67.4 5 32.7 40.8 21.8 14.0 100.0 85.6 14.1 62.9 61.8 23.5 -8.3 -15.5 6.4 -0.4 6 51.3 71.5 44.1 33.5 85.6 100.0 51.2 81.9 82.1 -5.5 -16.2 -32.8 20.5 10.6 7 64.4 94.8 70.7 58.0 14.1 51.2 100.0 67.8 80.9 -52.5 -25.0 -53.2 41.0 28.1 8 56.5 77.0 60.3 45.5 62.9 81.9 67.8 100.0 85.1 -9.7 -24.2 -46.1 33.6 19.4 9 65.2 92.1 77.6 58.5 61.8 82.1 80.9 85.1 100.0 -18.0 -28.0 -58.0 45.7 26.7 10 -26.3 -43.3 -12.5 -13.7 23.5 -5.5 -52.5 -9.7 -18.0 100.0 4.5 9.1 -3.9 -5.1 11 -16.9 -25.6 -28.9 -27.6 -8.3 -16.2 -25.0 -24.2 -28.0 4.5 100.0 53.7 -15.1 -14.8 12 -40.6 -52.8 -59.7 -59.6 -15.5 -32.8 -53.2 -46.1 -58.0 9.1 53.7 100.0 -34.1 -30.8 13 19.7 38.6 68.9 19.1 6.4 20.5 41.0 33.6 45.7 -3.9 -15.1 -34.1 100.0 41.2 14 17.9 24.7 15.9 67.4 -0.4 10.6 28.1 19.4 26.7 -5.1 -14.8 -30.8 41.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 168.854333 TOTAL CORRELATION OF ALL VARIABLES 73.0502875 ROUND 1: MAX CORR ( 73.0497795) AFTER KILLING INPUT VARIABLE 6 CONTR 0.272419374 ROUND 2: MAX CORR ( 73.0470371) AFTER KILLING INPUT VARIABLE 8 CONTR 0.632976625 ROUND 3: MAX CORR ( 73.0273163) AFTER KILLING INPUT VARIABLE 2 CONTR 1.69726456 ROUND 4: MAX CORR ( 72.9869791) AFTER KILLING INPUT VARIABLE 11 CONTR 2.42689039 ROUND 5: MAX CORR ( 72.8558026) AFTER KILLING INPUT VARIABLE 12 CONTR 4.37391696 ROUND 6: MAX CORR ( 72.6988562) AFTER KILLING INPUT VARIABLE 14 CONTR 4.7795698 ROUND 7: MAX CORR ( 72.4810068) AFTER KILLING INPUT VARIABLE 10 CONTR 5.62381929 ROUND 8: MAX CORR ( 71.8833068) AFTER KILLING INPUT VARIABLE 9 CONTR 9.28905504 ROUND 9: MAX CORR ( 70.7972412) AFTER KILLING INPUT VARIABLE 3 CONTR 12.4483107 ROUND 10: MAX CORR ( 70.4970009) AFTER KILLING INPUT VARIABLE 13 CONTR 6.51323441 ROUND 11: MAX CORR ( 68.7032729) AFTER KILLING INPUT VARIABLE 4 CONTR 15.8015008 ROUND 12: MAX CORR ( 64.4371207) AFTER KILLING INPUT VARIABLE 5 CONTR 23.8326916 LAST REMAINING VARIABLE: 7 total correlation to target: 73.0502875 % total significance: 104.719167 sigma correlations of single variables to target: variable 2: 67.0598253 % , in sigma: 96.1317095 variable 3: 52.2791742 % , in sigma: 74.9433266 variable 4: 51.6085404 % , in sigma: 73.9819586 variable 5: 32.6891984 % , in sigma: 46.8606727 variable 6: 51.2731109 % , in sigma: 73.5011131 variable 7: 64.4371207 % , in sigma: 92.3720058 variable 8: 56.4829802 % , in sigma: 80.9695734 variable 9: 65.1878188 % , in sigma: 93.4481477 variable 10: -26.277715 % , in sigma: 37.6696727 variable 11: -16.9126936 % , in sigma: 24.2447119 variable 12: -40.5504403 % , in sigma: 58.1299329 variable 13: 19.7079998 % , in sigma: 28.2518439 variable 14: 17.873839 % , in sigma: 25.6225346 variables sorted by significance: 1 most relevant variable 7 corr 64.4371185 , in sigma: 92.3720027 2 most relevant variable 5 corr 23.8326912 , in sigma: 34.1646781 3 most relevant variable 4 corr 15.8015013 , in sigma: 22.6517937 4 most relevant variable 13 corr 6.51323462 , in sigma: 9.33686265 5 most relevant variable 3 corr 12.4483109 , in sigma: 17.8449228 6 most relevant variable 9 corr 9.28905487 , in sigma: 13.316061 7 most relevant variable 10 corr 5.62381935 , in sigma: 8.06186664 8 most relevant variable 14 corr 4.77956963 , in sigma: 6.8516164 9 most relevant variable 12 corr 4.3739171 , in sigma: 6.27010474 10 most relevant variable 11 corr 2.42689037 , in sigma: 3.47899982 11 most relevant variable 2 corr 1.69726455 , in sigma: 2.43306543 12 most relevant variable 8 corr 0.632976651 , in sigma: 0.907385716 13 most relevant variable 6 corr 0.272419363 , in sigma: 0.390519047 global correlations between input variables: variable 2: 99.306182 % variable 3: 94.3430732 % variable 4: 90.6817377 % variable 5: 95.8895977 % variable 6: 95.3577832 % variable 7: 98.949972 % variable 8: 90.8287633 % variable 9: 98.9457192 % variable 10: 73.0424641 % variable 11: 54.7387861 % variable 12: 78.044301 % variable 13: 86.8524001 % variable 14: 86.3852991 % significance loss when removing single variables: variable 2: corr = 1.82429295 % , sigma = 2.61516339 variable 3: corr = 12.7044072 % , sigma = 18.2120425 variable 4: corr = 15.9964162 % , sigma = 22.9312084 variable 5: corr = 12.5508941 % , sigma = 17.991978 variable 6: corr = 0.272419374 % , sigma = 0.390519063 variable 7: corr = 6.58111275 % , sigma = 9.43416743 variable 8: corr = 0.688851855 % , sigma = 0.987484028 variable 9: corr = 8.17586653 % , sigma = 11.7202815 variable 10: corr = 5.1390283 % , sigma = 7.36690819 variable 11: corr = 2.53352564 % , sigma = 3.63186378 variable 12: corr = 2.83435004 % , sigma = 4.06310206 variable 13: corr = 5.08780616 % , sigma = 7.29348014 variable 14: corr = 4.8605653 % , sigma = 6.96772545 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 10 --> 9.35132217 sigma out 15 active outputs RANK 2 NODE 1 --> 8.9178896 sigma out 15 active outputs RANK 3 NODE 2 --> 8.13912487 sigma out 15 active outputs RANK 4 NODE 5 --> 7.95530653 sigma out 15 active outputs RANK 5 NODE 7 --> 7.43975115 sigma out 15 active outputs RANK 6 NODE 4 --> 6.57623148 sigma out 15 active outputs RANK 7 NODE 6 --> 5.64585543 sigma out 15 active outputs RANK 8 NODE 3 --> 5.46742773 sigma out 15 active outputs RANK 9 NODE 8 --> 4.73699903 sigma out 15 active outputs RANK 10 NODE 9 --> 4.28786421 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 11.9657602 sigma in 10act. ( 14.1499834 sig out 1act.) RANK 2 NODE 1 --> 8.41408253 sigma in 10act. ( 8.3692503 sig out 1act.) RANK 3 NODE 11 --> 6.70965004 sigma in 10act. ( 5.84657574 sig out 1act.) RANK 4 NODE 3 --> 6.47074652 sigma in 10act. ( 6.860672 sig out 1act.) RANK 5 NODE 15 --> 6.02719975 sigma in 10act. ( 5.93202829 sig out 1act.) RANK 6 NODE 12 --> 5.82444048 sigma in 10act. ( 4.29452753 sig out 1act.) RANK 7 NODE 9 --> 5.06426477 sigma in 10act. ( 6.6011405 sig out 1act.) RANK 8 NODE 8 --> 5.03377151 sigma in 10act. ( 5.57209873 sig out 1act.) RANK 9 NODE 14 --> 4.4212842 sigma in 10act. ( 4.93745852 sig out 1act.) RANK 10 NODE 5 --> 4.05823421 sigma in 10act. ( 2.82399321 sig out 1act.) RANK 11 NODE 6 --> 3.63882565 sigma in 10act. ( 4.24050379 sig out 1act.) RANK 12 NODE 10 --> 3.35058618 sigma in 10act. ( 1.67687452 sig out 1act.) RANK 13 NODE 4 --> 2.86389589 sigma in 10act. ( 0.783589363 sig out 1act.) RANK 14 NODE 2 --> 2.32407403 sigma in 10act. ( 2.54396796 sig out 1act.) RANK 15 NODE 7 --> 1.22782969 sigma in 10act. ( 0.957698464 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 14.1499834 sigma out 1act.( 11.9657602 sig in 10act.) RANK 2 NODE 1 --> 8.3692503 sigma out 1act.( 8.41408253 sig in 10act.) RANK 3 NODE 3 --> 6.860672 sigma out 1act.( 6.47074652 sig in 10act.) RANK 4 NODE 9 --> 6.6011405 sigma out 1act.( 5.06426477 sig in 10act.) RANK 5 NODE 15 --> 5.93202829 sigma out 1act.( 6.02719975 sig in 10act.) RANK 6 NODE 11 --> 5.84657574 sigma out 1act.( 6.70965004 sig in 10act.) RANK 7 NODE 8 --> 5.57209873 sigma out 1act.( 5.03377151 sig in 10act.) RANK 8 NODE 14 --> 4.93745852 sigma out 1act.( 4.4212842 sig in 10act.) RANK 9 NODE 12 --> 4.29452753 sigma out 1act.( 5.82444048 sig in 10act.) RANK 10 NODE 6 --> 4.24050379 sigma out 1act.( 3.63882565 sig in 10act.) RANK 11 NODE 5 --> 2.82399321 sigma out 1act.( 4.05823421 sig in 10act.) RANK 12 NODE 2 --> 2.54396796 sigma out 1act.( 2.32407403 sig in 10act.) RANK 13 NODE 10 --> 1.67687452 sigma out 1act.( 3.35058618 sig in 10act.) RANK 14 NODE 7 --> 0.957698464 sigma out 1act.( 1.22782969 sig in 10act.) RANK 15 NODE 4 --> 0.783589363 sigma out 1act.( 2.86389589 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 23.2577534 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 19.1754551 sigma out 15 active outputs RANK 2 NODE 10 --> 12.4498529 sigma out 15 active outputs RANK 3 NODE 5 --> 12.2428255 sigma out 15 active outputs RANK 4 NODE 1 --> 11.2067728 sigma out 15 active outputs RANK 5 NODE 7 --> 10.3002834 sigma out 15 active outputs RANK 6 NODE 4 --> 9.14526272 sigma out 15 active outputs RANK 7 NODE 3 --> 8.65780926 sigma out 15 active outputs RANK 8 NODE 6 --> 8.09160519 sigma out 15 active outputs RANK 9 NODE 9 --> 6.68654823 sigma out 15 active outputs RANK 10 NODE 8 --> 6.3833065 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 13 --> 15.2231913 sigma in 10act. ( 15.1800566 sig out 1act.) RANK 2 NODE 7 --> 11.6898861 sigma in 10act. ( 3.26900196 sig out 1act.) RANK 3 NODE 9 --> 10.9725533 sigma in 10act. ( 8.47382259 sig out 1act.) RANK 4 NODE 3 --> 9.52404404 sigma in 10act. ( 7.30622768 sig out 1act.) RANK 5 NODE 1 --> 9.47904015 sigma in 10act. ( 7.63468075 sig out 1act.) RANK 6 NODE 12 --> 9.26179218 sigma in 10act. ( 3.57178926 sig out 1act.) RANK 7 NODE 8 --> 9.1052494 sigma in 10act. ( 6.76272297 sig out 1act.) RANK 8 NODE 14 --> 7.95256424 sigma in 10act. ( 6.54156399 sig out 1act.) RANK 9 NODE 15 --> 7.74348259 sigma in 10act. ( 5.96120644 sig out 1act.) RANK 10 NODE 6 --> 7.73519945 sigma in 10act. ( 5.75918055 sig out 1act.) RANK 11 NODE 2 --> 6.79540396 sigma in 10act. ( 4.92468786 sig out 1act.) RANK 12 NODE 5 --> 6.28303432 sigma in 10act. ( 2.30087805 sig out 1act.) RANK 13 NODE 10 --> 6.2198534 sigma in 10act. ( 0.975474238 sig out 1act.) RANK 14 NODE 4 --> 6.14763355 sigma in 10act. ( 0.0608291253 sig out 1act.) RANK 15 NODE 11 --> 5.53004408 sigma in 10act. ( 4.5746994 sig out 1act.) sorted by output significance RANK 1 NODE 13 --> 15.1800566 sigma out 1act.( 15.2231913 sig in 10act.) RANK 2 NODE 9 --> 8.47382259 sigma out 1act.( 10.9725533 sig in 10act.) RANK 3 NODE 1 --> 7.63468075 sigma out 1act.( 9.47904015 sig in 10act.) RANK 4 NODE 3 --> 7.30622768 sigma out 1act.( 9.52404404 sig in 10act.) RANK 5 NODE 8 --> 6.76272297 sigma out 1act.( 9.1052494 sig in 10act.) RANK 6 NODE 14 --> 6.54156399 sigma out 1act.( 7.95256424 sig in 10act.) RANK 7 NODE 15 --> 5.96120644 sigma out 1act.( 7.74348259 sig in 10act.) RANK 8 NODE 6 --> 5.75918055 sigma out 1act.( 7.73519945 sig in 10act.) RANK 9 NODE 2 --> 4.92468786 sigma out 1act.( 6.79540396 sig in 10act.) RANK 10 NODE 11 --> 4.5746994 sigma out 1act.( 5.53004408 sig in 10act.) RANK 11 NODE 12 --> 3.57178926 sigma out 1act.( 9.26179218 sig in 10act.) RANK 12 NODE 7 --> 3.26900196 sigma out 1act.( 11.6898861 sig in 10act.) RANK 13 NODE 5 --> 2.30087805 sigma out 1act.( 6.28303432 sig in 10act.) RANK 14 NODE 10 --> 0.975474238 sigma out 1act.( 6.2198534 sig in 10act.) RANK 15 NODE 4 --> 0.0608291253 sigma out 1act.( 6.14763355 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 25.4167957 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.530612409 *** contribution from regularisation: 0.00451020012 *** contribution from error: -0.535122633 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.572803259 *** contribution from regularisation: 0.00173705281 *** contribution from error: -0.574540317 *********************************************** -----------------> Test sample ENTER BFGS code START -47993.8241 0.270311505 0.193690836 EXIT FROM BFGS code FG_START 0. 0.270311505 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.597557008 *** contribution from regularisation: 0.00181478588 *** contribution from error: -0.599371791 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -50059.1455 0.270311505 56.3579407 EXIT FROM BFGS code FG_LNSRCH 0. 0.30963257 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.610408306 *** contribution from regularisation: 0.00299105095 *** contribution from error: -0.613399386 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51135.733 0.30963257 63.5139885 EXIT FROM BFGS code NEW_X -51135.733 0.30963257 63.5139885 ENTER BFGS code NEW_X -51135.733 0.30963257 63.5139885 EXIT FROM BFGS code FG_LNSRCH 0. 0.340328485 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.612024903 *** contribution from regularisation: 0.00269286591 *** contribution from error: -0.614717782 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51271.1611 0.340328485 35.8216667 EXIT FROM BFGS code NEW_X -51271.1611 0.340328485 35.8216667 ENTER BFGS code NEW_X -51271.1611 0.340328485 35.8216667 EXIT FROM BFGS code FG_LNSRCH 0. 0.380195349 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.612909317 *** contribution from regularisation: 0.00242007524 *** contribution from error: -0.615329385 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51345.2504 0.380195349 11.6347332 EXIT FROM BFGS code NEW_X -51345.2504 0.380195349 11.6347332 ENTER BFGS code NEW_X -51345.2504 0.380195349 11.6347332 EXIT FROM BFGS code FG_LNSRCH 0. 0.413159221 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.613255501 *** contribution from regularisation: 0.0022837827 *** contribution from error: -0.615539312 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51374.2509 0.413159221 -8.74258804 EXIT FROM BFGS code NEW_X -51374.2509 0.413159221 -8.74258804 ENTER BFGS code NEW_X -51374.2509 0.413159221 -8.74258804 EXIT FROM BFGS code FG_LNSRCH 0. 0.418680102 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.613376915 *** contribution from regularisation: 0.00224355655 *** contribution from error: -0.615620494 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51384.4257 0.418680102 -7.68192101 EXIT FROM BFGS code NEW_X -51384.4257 0.418680102 -7.68192101 ENTER BFGS code NEW_X -51384.4257 0.418680102 -7.68192101 EXIT FROM BFGS code FG_LNSRCH 0. 0.445946157 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.613595545 *** contribution from regularisation: 0.0019007579 *** contribution from error: -0.615496278 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51402.7376 0.445946157 -12.9724808 EXIT FROM BFGS code NEW_X -51402.7376 0.445946157 -12.9724808 ENTER BFGS code NEW_X -51402.7376 0.445946157 -12.9724808 EXIT FROM BFGS code FG_LNSRCH 0. 0.453755528 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 23.2666874 sigma out 15 active outputs RANK 2 NODE 1 --> 12.6212015 sigma out 15 active outputs RANK 3 NODE 5 --> 10.8824339 sigma out 15 active outputs RANK 4 NODE 9 --> 9.17201042 sigma out 15 active outputs RANK 5 NODE 6 --> 7.94571972 sigma out 15 active outputs RANK 6 NODE 7 --> 6.47649574 sigma out 15 active outputs RANK 7 NODE 10 --> 5.60246372 sigma out 15 active outputs RANK 8 NODE 8 --> 4.90778923 sigma out 15 active outputs RANK 9 NODE 3 --> 4.05238676 sigma out 15 active outputs RANK 10 NODE 4 --> 3.15035009 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 17.3071136 sigma in 10act. ( 16.8102016 sig out 1act.) RANK 2 NODE 9 --> 12.5498905 sigma in 10act. ( 8.63671494 sig out 1act.) RANK 3 NODE 3 --> 10.6800756 sigma in 10act. ( 8.46218491 sig out 1act.) RANK 4 NODE 13 --> 10.6666212 sigma in 10act. ( 7.53950882 sig out 1act.) RANK 5 NODE 2 --> 10.3367739 sigma in 10act. ( 6.94326401 sig out 1act.) RANK 6 NODE 14 --> 10.1838093 sigma in 10act. ( 8.834342 sig out 1act.) RANK 7 NODE 6 --> 8.44449615 sigma in 10act. ( 6.3023119 sig out 1act.) RANK 8 NODE 8 --> 7.8393178 sigma in 10act. ( 5.47699642 sig out 1act.) RANK 9 NODE 15 --> 5.22526455 sigma in 10act. ( 3.98310184 sig out 1act.) RANK 10 NODE 1 --> 3.16812539 sigma in 10act. ( 1.76793575 sig out 1act.) RANK 11 NODE 12 --> 2.83484006 sigma in 10act. ( 1.4146589 sig out 1act.) RANK 12 NODE 4 --> 2.33365369 sigma in 10act. ( 0.977637589 sig out 1act.) RANK 13 NODE 5 --> 2.02986717 sigma in 10act. ( 0.765621126 sig out 1act.) RANK 14 NODE 11 --> 1.94387937 sigma in 10act. ( 1.13430953 sig out 1act.) RANK 15 NODE 10 --> 1.77899802 sigma in 10act. ( 0.19538191 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 16.8102016 sigma out 1act.( 17.3071136 sig in 10act.) RANK 2 NODE 14 --> 8.834342 sigma out 1act.( 10.1838093 sig in 10act.) RANK 3 NODE 9 --> 8.63671494 sigma out 1act.( 12.5498905 sig in 10act.) RANK 4 NODE 3 --> 8.46218491 sigma out 1act.( 10.6800756 sig in 10act.) RANK 5 NODE 13 --> 7.53950882 sigma out 1act.( 10.6666212 sig in 10act.) RANK 6 NODE 2 --> 6.94326401 sigma out 1act.( 10.3367739 sig in 10act.) RANK 7 NODE 6 --> 6.3023119 sigma out 1act.( 8.44449615 sig in 10act.) RANK 8 NODE 8 --> 5.47699642 sigma out 1act.( 7.8393178 sig in 10act.) RANK 9 NODE 15 --> 3.98310184 sigma out 1act.( 5.22526455 sig in 10act.) RANK 10 NODE 1 --> 1.76793575 sigma out 1act.( 3.16812539 sig in 10act.) RANK 11 NODE 12 --> 1.4146589 sigma out 1act.( 2.83484006 sig in 10act.) RANK 12 NODE 11 --> 1.13430953 sigma out 1act.( 1.94387937 sig in 10act.) RANK 13 NODE 4 --> 0.977637589 sigma out 1act.( 2.33365369 sig in 10act.) RANK 14 NODE 5 --> 0.765621126 sigma out 1act.( 2.02986717 sig in 10act.) RANK 15 NODE 10 --> 0.19538191 sigma out 1act.( 1.77899802 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 26.5604668 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.613219321 *** contribution from regularisation: 0.0017452091 *** contribution from error: -0.614964545 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -51371.2242 0.453755528 -10.2192736 EXIT FROM BFGS code FG_LNSRCH 0. 0.447161764 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.612335622 *** contribution from regularisation: 0.00313595473 *** contribution from error: -0.615471601 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51297.1925 0.447161764 -10.6488361 EXIT FROM BFGS code FG_LNSRCH 0. 0.445963889 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.613380194 *** contribution from regularisation: 0.00211570575 *** contribution from error: -0.61549592 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51384.7014 0.445963889 -12.5257683 EXIT FROM BFGS code FG_LNSRCH 0. 0.445946187 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.613223374 *** contribution from regularisation: 0.0022728953 *** contribution from error: -0.615496278 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51371.5626 0.445946187 -12.4225864 EXIT FROM BFGS code FG_LNSRCH 0. 0.445946157 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.613265157 *** contribution from regularisation: 0.00223111943 *** contribution from error: -0.615496278 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51375.0622 0.445946157 -12.436904 EXIT FROM BFGS code FG_LNSRCH 0. 0.445946157 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.61323601 *** contribution from regularisation: 0.00226027169 *** contribution from error: -0.615496278 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51372.6201 0.445946157 -12.3603096 EXIT FROM BFGS code FG_LNSRCH 0. 0.445946157 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.613254964 *** contribution from regularisation: 0.00224133069 *** contribution from error: -0.615496278 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -51374.2068 0.445946157 -12.401825 EXIT FROM BFGS code NEW_X -51374.2068 0.445946157 -12.401825 ENTER BFGS code NEW_X -51374.2068 0.445946157 -12.401825 EXIT FROM BFGS code CONVERGENC -51374.2068 0.445946157 -12.401825 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 42.3901329 sigma out 15 active outputs RANK 2 NODE 1 --> 25.2150993 sigma out 15 active outputs RANK 3 NODE 5 --> 20.5948601 sigma out 15 active outputs RANK 4 NODE 9 --> 17.6459217 sigma out 15 active outputs RANK 5 NODE 10 --> 13.6861467 sigma out 15 active outputs RANK 6 NODE 7 --> 10.8225527 sigma out 15 active outputs RANK 7 NODE 6 --> 10.201684 sigma out 15 active outputs RANK 8 NODE 8 --> 8.52177334 sigma out 15 active outputs RANK 9 NODE 4 --> 8.27968788 sigma out 15 active outputs RANK 10 NODE 3 --> 8.19094563 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 27.3240204 sigma in 10act. ( 25.1780853 sig out 1act.) RANK 2 NODE 9 --> 25.3936024 sigma in 10act. ( 18.3419399 sig out 1act.) RANK 3 NODE 13 --> 22.8500042 sigma in 10act. ( 17.3910503 sig out 1act.) RANK 4 NODE 2 --> 19.7570705 sigma in 10act. ( 13.9796991 sig out 1act.) RANK 5 NODE 3 --> 18.818716 sigma in 10act. ( 15.6074734 sig out 1act.) RANK 6 NODE 14 --> 17.9637012 sigma in 10act. ( 15.6779127 sig out 1act.) RANK 7 NODE 6 --> 17.0352039 sigma in 10act. ( 13.0820255 sig out 1act.) RANK 8 NODE 8 --> 16.6605015 sigma in 10act. ( 11.5399342 sig out 1act.) RANK 9 NODE 15 --> 10.7040987 sigma in 10act. ( 8.88514423 sig out 1act.) RANK 10 NODE 1 --> 6.17437315 sigma in 10act. ( 4.78382921 sig out 1act.) RANK 11 NODE 4 --> 5.02333021 sigma in 10act. ( 3.98674989 sig out 1act.) RANK 12 NODE 12 --> 4.76590157 sigma in 10act. ( 2.20806646 sig out 1act.) RANK 13 NODE 5 --> 3.75577283 sigma in 10act. ( 2.08676291 sig out 1act.) RANK 14 NODE 11 --> 3.57393932 sigma in 10act. ( 2.76254582 sig out 1act.) RANK 15 NODE 10 --> 2.99861264 sigma in 10act. ( 0.457018703 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 25.1780853 sigma out 1act.( 27.3240204 sig in 10act.) RANK 2 NODE 9 --> 18.3419399 sigma out 1act.( 25.3936024 sig in 10act.) RANK 3 NODE 13 --> 17.3910503 sigma out 1act.( 22.8500042 sig in 10act.) RANK 4 NODE 14 --> 15.6779127 sigma out 1act.( 17.9637012 sig in 10act.) RANK 5 NODE 3 --> 15.6074734 sigma out 1act.( 18.818716 sig in 10act.) RANK 6 NODE 2 --> 13.9796991 sigma out 1act.( 19.7570705 sig in 10act.) RANK 7 NODE 6 --> 13.0820255 sigma out 1act.( 17.0352039 sig in 10act.) RANK 8 NODE 8 --> 11.5399342 sigma out 1act.( 16.6605015 sig in 10act.) RANK 9 NODE 15 --> 8.88514423 sigma out 1act.( 10.7040987 sig in 10act.) RANK 10 NODE 1 --> 4.78382921 sigma out 1act.( 6.17437315 sig in 10act.) RANK 11 NODE 4 --> 3.98674989 sigma out 1act.( 5.02333021 sig in 10act.) RANK 12 NODE 11 --> 2.76254582 sigma out 1act.( 3.57393932 sig in 10act.) RANK 13 NODE 12 --> 2.20806646 sigma out 1act.( 4.76590157 sig in 10act.) RANK 14 NODE 5 --> 2.08676291 sigma out 1act.( 3.75577283 sig in 10act.) RANK 15 NODE 10 --> 0.457018703 sigma out 1act.( 2.99861264 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 48.9564972 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.613247037 *** contribution from regularisation: 0.00224921969 *** contribution from error: -0.615496278 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done