NNInput NNInputs_140.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= 45635 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 = 9432 nbkg = 36203 Bkg Entries: 36203 Sig Entries: 9432 Chosen entries: 9432 Signal fraction: 1 Background fraction: 0.260531 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 36203 Actual Signal Entries: 9432 Entries to split: 9432 Test with : 4716 Train with : 4716 ********************************************* * 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= 9432 for Signal Prepared event 0 for Signal with 9432 events ====Entry 0 Variable Ht : 118.298 Variable LepAPt : 36.6918 Variable LepBPt : 19.6798 Variable MetSigLeptonsJets : 3.64514 Variable MetSpec : 33.5555 Variable SumEtLeptonsJets : 84.7422 Variable VSumJetLeptonsPt : 50.8333 Variable addEt : 89.9271 Variable dPhiLepSumMet : 2.63825 Variable dPhiLeptons : 0.136496 Variable dRLeptons : 0.317769 Variable lep1_E : 38.0727 Variable lep2_E : 22.8525 ===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 = 2140 Ht = 118.298 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.6918 LepAPt = 36.6918 LepBEt = 19.6798 LepBPt = 19.6798 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.5555 MetDelPhi = 1.62567 MetSig = 2.56164 MetSigLeptonsJets = 3.64514 MetSpec = 33.5555 Mjj = 0 MostCentralJetEta = -0.89129 MtllMet = 91.9367 Njets = 1 SB = 0 SumEt = 171.59 SumEtJets = 0 SumEtLeptonsJets = 84.7422 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 50.8333 addEt = 89.9271 dPhiLepSumMet = 2.63825 dPhiLeptons = 0.136496 dRLeptons = 0.317769 diltype = 45 dimass = 8.5617 event = 303 jet1_Et = 28.3706 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 38.0727 lep2_E = 22.8525 rand = 0.999742 run = 234314 weight = 2.90918e-06 ===Show End Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 36203 for Background Prepared event 0 for Background with 36203 events ====Entry 0 Variable Ht : 80.3296 Variable LepAPt : 25.5911 Variable LepBPt : 11.162 Variable MetSigLeptonsJets : 7.18795 Variable MetSpec : 43.5765 Variable SumEtLeptonsJets : 36.7531 Variable VSumJetLeptonsPt : 34.1227 Variable addEt : 80.3296 Variable dPhiLepSumMet : 2.89659 Variable dPhiLeptons : 0.831637 Variable dRLeptons : 0.924544 Variable lep1_E : 25.6567 Variable lep2_E : 12.448 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 80.3296 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 25.5911 LepAPt = 25.5911 LepBEt = 11.162 LepBPt = 11.162 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 43.5765 MetDelPhi = 2.65242 MetSig = 3.63746 MetSigLeptonsJets = 7.18795 MetSpec = 43.5765 Mjj = 0 MostCentralJetEta = 0 MtllMet = 81.3504 Njets = 0 SB = 0 SumEt = 143.519 SumEtJets = 0 SumEtLeptonsJets = 36.7531 Target = 0 TrainWeight = 0.317862 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 34.1227 addEt = 80.3296 dPhiLepSumMet = 2.89659 dPhiLeptons = 0.831637 dRLeptons = 0.924544 diltype = 45 dimass = 15.2865 event = 23115824 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 25.6567 lep2_E = 12.448 rand = 0.999742 run = 271104 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 36203 events Prepared event 20000 for Background with 36203 events Prepared event 30000 for Background with 36203 events Warning: found 955 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 45635 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 955 negative weights. Signal fraction: 61.9998322 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 55.7480278 63.164299 64.8794556 66.1862335 67.4595337 68.6040878 69.6476746 70.4730377 71.1122284 71.7763977 72.3373108 73.1555786 73.6858826 74.2127075 74.6950378 75.1222992 75.6075592 76.248642 76.8894272 77.4551544 77.9906464 78.3562927 78.876976 79.3169708 79.6625061 80.1275711 80.7018738 81.246521 81.8048553 82.2079849 82.7933044 83.5340576 84.3532867 85.2816467 86.3707581 87.2913513 88.2398224 89.1015625 90.3686676 91.6369171 92.7586441 94.0718384 95.0593643 96.3760834 97.3303757 98.5356522 99.8260498 100.902878 102.493095 103.92955 105.573875 107.166687 109.124313 110.264099 111.892349 113.075455 114.476242 115.669067 116.916718 118.307709 119.57682 121.173645 122.337128 123.658752 125.154449 126.414612 127.833641 129.188339 130.398056 131.559158 133.007416 134.554749 136.140472 137.689911 139.280472 140.776886 142.641785 144.200836 146.147385 147.797943 150.025894 152.175705 154.714905 157.611725 160.105164 162.709137 165.106323 168.019348 171.521164 175.485718 178.866348 183.386246 188.109573 193.801346 199.979767 207.857254 215.959381 227.27597 243.647202 277.870056 645.132446 ------------------------------ Transdef: Tab for variable 3 20.001255 20.2438507 20.4761391 20.6865997 20.8920403 21.1626778 21.3743591 21.5363808 21.7810974 21.9686813 22.1223412 22.3239498 22.4937801 22.6857872 22.8887558 23.0828133 23.263237 23.4918556 23.6697845 23.8162613 23.9786129 24.1174889 24.289423 24.4794788 24.6257477 24.8018837 24.9633865 25.1483459 25.3549442 25.4984016 25.6457081 25.7876091 25.9266319 26.1385918 26.2849941 26.4730682 26.6969299 26.854826 27.0505791 27.207552 27.369297 27.5532894 27.7414322 27.9568367 28.1056519 28.2615089 28.4677849 28.7333946 28.9295483 29.1409302 29.2873764 29.4977798 29.7235394 29.8975601 30.1100388 30.3498383 30.5876503 30.8677559 31.1721878 31.4841728 31.7452126 31.9890938 32.229866 32.536972 32.7969666 33.0328522 33.2766457 33.607708 33.9603271 34.2975616 34.6192474 34.8662262 35.2300987 35.515377 35.7977333 36.1969795 36.6579437 37.0944786 37.4571686 37.9694519 38.5182724 39.078289 39.5745087 40.0515671 40.5466309 41.0319633 41.7548599 42.4682617 43.2481613 44.0645561 44.9144897 45.9247208 46.8637161 48.0260544 49.3181686 50.6344147 52.8041 55.8170013 60.1138916 66.5724335 151.031479 ------------------------------ Transdef: Tab for variable 4 10.0006418 10.0956059 10.2173367 10.3010654 10.4128237 10.487524 10.5948639 10.7101278 10.8260574 10.9239292 11.0324459 11.150095 11.2697449 11.3784924 11.4860573 11.5904417 11.6896353 11.7978954 11.9303417 12.0404263 12.1988754 12.3081741 12.4562206 12.583147 12.695322 12.8103485 12.9461918 13.0910511 13.2143698 13.3800335 13.5311947 13.6530457 13.7915974 13.8944969 14.0234547 14.1779976 14.2902393 14.4359865 14.5851784 14.7509127 14.8992195 15.0289326 15.1939259 15.3579168 15.4945393 15.6428509 15.8150883 16.0146942 16.1563663 16.3117294 16.4974937 16.6810513 16.8550854 17.050827 17.2754574 17.4372902 17.67593 17.8931656 18.1235313 18.3095722 18.4712448 18.6611671 18.8842049 19.0854607 19.2751389 19.4070549 19.651947 19.8817234 20.1066284 20.3358269 20.6052113 20.8666801 21.120018 21.3864632 21.6883278 21.9263344 22.2063999 22.5138474 22.8369293 23.1670876 23.5007324 23.8577118 24.2661572 24.6532974 25.0440674 25.4849377 25.9532318 26.3752155 26.8286781 27.2547226 27.8074913 28.4424553 29.1488113 29.7913418 30.4988365 31.2685432 32.3271523 33.484993 35.1021957 38.5277901 62.9373283 ------------------------------ Transdef: Tab for variable 5 1.79273057 2.8632772 3.25723553 3.50381827 3.71515012 3.90538621 4.05388689 4.17173052 4.27598238 4.38511753 4.48192167 4.56870556 4.65906715 4.7432456 4.8301878 4.91260672 4.98347378 5.06265163 5.12042332 5.18414593 5.23677921 5.28889847 5.33568621 5.38475704 5.42911148 5.46271753 5.50609589 5.56317329 5.60200596 5.63045788 5.67090511 5.72666264 5.77660513 5.81618118 5.85785151 5.90515041 5.93938923 5.97739363 6.00842857 6.04206991 6.07206726 6.11233044 6.15133762 6.19337511 6.23911476 6.27855206 6.31619167 6.34960794 6.38204479 6.42888784 6.45483875 6.49650526 6.53359985 6.57875252 6.61889458 6.66147041 6.69708776 6.73295736 6.7758379 6.82645321 6.8638258 6.9031496 6.94431877 6.98656368 7.0249505 7.06269455 7.10987282 7.15534687 7.20836449 7.26949215 7.31556845 7.36436749 7.42470455 7.46927166 7.52319622 7.58995819 7.64173317 7.69991636 7.76362753 7.82343483 7.89344883 7.95896626 8.02485943 8.09451485 8.15523911 8.22831917 8.30735397 8.37069988 8.45485783 8.53374481 8.64007568 8.73858452 8.8449955 8.98172951 9.13520718 9.3008194 9.48981476 9.74653625 10.1075115 10.7235966 15.6394129 ------------------------------ Transdef: Tab for variable 6 25.0035629 25.6851006 26.4706917 27.2618446 27.9164982 28.6324825 29.2590847 29.8080158 30.3963451 31.0700493 31.5440636 32.033432 32.448761 32.9143524 33.3985901 33.7746201 34.1423187 34.5103378 34.845314 35.2470169 35.5908661 35.9632416 36.3153076 36.5888062 36.8892136 37.1925621 37.3969345 37.7385101 38.0238152 38.2832718 38.6485977 38.8961639 39.2109299 39.4716568 39.7356186 40.0999756 40.420887 40.7472382 41.0060997 41.2812653 41.6278496 41.9154243 42.2111816 42.5328751 43.0117073 43.317852 43.7309113 44.1493492 44.5714684 45.0034027 45.5314751 46.064579 46.6350403 47.1622086 47.7788544 48.319603 48.9881134 49.5544167 50.2146187 50.7605934 51.4715118 52.3115005 52.9082642 53.561554 54.334507 55.0460091 55.770298 56.3252869 57.0352287 57.7033386 58.3305435 59.1149216 59.6732254 60.2985153 60.8442688 61.4098434 62.0025101 62.6869011 63.4650726 64.2701111 64.9841461 65.6884003 66.6885986 67.4774475 68.4263077 69.1660767 70.149292 71.116394 72.0804443 73.1973953 74.4704437 75.6569824 77.2085648 79.0130997 81.4505005 84.2975769 87.5124969 92.1335907 99.088913 108.029312 197.808899 ------------------------------ Transdef: Tab for variable 7 30.1895332 32.4980507 33.2512817 34.1733894 34.7464371 35.2233887 35.6170998 35.9647827 36.3237076 36.6826973 36.9447632 37.1305656 37.4304276 37.6785469 38.022728 38.2469025 38.4967003 38.7686386 38.9797554 39.206543 39.4099464 39.6160927 39.8913879 40.2459412 40.4713135 40.714283 40.9707718 41.2221527 41.5420609 41.844162 42.0921745 42.4608383 42.9523239 43.4342003 43.9578705 44.4040413 44.8563843 45.3898392 45.903038 46.4565315 47.108345 47.6678047 48.3439713 49.1750641 50.1998024 51.0559769 51.8413849 52.6376038 53.5989876 54.5778923 55.5508003 56.3050766 56.9006844 57.5222893 58.3425674 59.3851776 60.2391205 60.8745041 61.6294022 62.346653 63.2145844 64.0826416 64.7637634 65.666153 66.494751 67.1204071 67.9984589 69.0082703 70.0773621 71.3999176 72.4972534 73.5768967 75.1665421 76.6253815 77.9973145 79.4767838 81.0687714 82.625473 83.9286423 85.450386 87.2838516 88.9783478 91.4311066 93.5867462 95.6379166 98.0512543 100.040817 102.027374 104.637131 107.535324 110.211136 113.557533 117.487885 122.005753 128.378479 133.667603 142.51355 153.927032 167.364258 191.825195 400.822052 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.999939 29.2589302 30.6806316 31.6500492 32.2534714 32.8776207 33.4262505 33.8354111 34.2714539 34.6224594 34.9729538 35.2455292 35.5558548 35.8621025 36.0572052 36.3130951 36.5070038 36.7324295 36.9710884 37.2456589 37.5050049 37.6937294 37.9117279 38.1110153 38.2772942 38.5109138 38.7262077 38.9630737 39.1740341 39.4029007 39.6818848 39.9359283 40.1679306 40.3987656 40.617012 40.887764 41.146698 41.4117737 41.6651497 41.991066 42.3021851 42.6591187 43.1082687 43.4714737 43.8418999 44.2750549 44.6962738 45.1235733 45.5226402 45.9591522 46.4347763 46.8744049 47.4295044 47.9675407 48.4899063 49.1259956 49.8317871 50.4112396 51.0488396 51.5796585 52.1421509 52.6957397 53.3484726 53.9979172 54.5679207 55.2001114 55.7561569 56.3534775 56.8297958 57.4344521 58.1354218 58.8070831 59.3798141 60.0461502 60.7462311 61.2722244 61.9325562 62.6944275 63.3969955 64.134346 64.8907547 65.5576935 66.3519287 67.1616211 67.9901962 68.8612213 69.8924866 71.0382919 72.420784 73.7295074 75.2866669 77.2198029 79.4464417 81.9293976 84.5762405 87.9944611 93.0460587 98.5879517 112.007736 261.022552 ------------------------------ Transdef: Tab for variable 9 55.7480278 62.9460678 64.4790802 65.8123474 67.098175 67.8372116 68.9060364 69.688385 70.4261627 71.0159225 71.6541138 72.1347504 72.7604065 73.3105774 73.8410339 74.2484741 74.6993256 75.1028748 75.576828 76.0680695 76.6572571 77.1047058 77.5792084 78.0088043 78.3485107 78.8016891 79.2107849 79.5530624 79.8643646 80.3276672 80.7851257 81.2327576 81.7036133 82.09021 82.5448456 83.171196 83.7172546 84.5563736 85.2614746 86.0637131 86.8218842 87.5575104 88.3474274 89.0050049 89.9455719 90.8243866 92.0035553 92.848526 93.8239288 94.8023529 95.6728973 96.7232819 97.6544647 98.5809021 99.4167938 100.508804 101.53801 102.670959 103.888718 105.17247 106.34024 107.643951 108.890503 109.948166 110.918991 112.26709 113.279167 114.303177 115.178574 116.020355 116.967819 118.046143 119.114502 120.248199 121.224762 122.041977 123.089417 124.185211 125.266258 126.271645 127.313377 128.318954 129.271271 130.333252 131.380493 132.541626 133.67627 134.818726 135.91748 137.269547 138.793884 140.265717 141.890472 143.708069 145.712738 147.906281 151.218109 154.94339 162.800995 177.665054 344.857483 ------------------------------ Transdef: Tab for variable 10 0.0579148158 1.19732702 1.45290971 1.65977335 1.78063583 1.87221432 1.95813727 2.05093336 2.12643003 2.18678236 2.23835278 2.29387212 2.33536482 2.38225746 2.419276 2.45737863 2.49232316 2.52791786 2.55391622 2.57883286 2.59732103 2.6211133 2.63733959 2.6584177 2.68241453 2.70276594 2.71943951 2.73978186 2.75561523 2.77217054 2.7852459 2.8018024 2.81787872 2.83006716 2.8403697 2.8507576 2.86014938 2.87100267 2.8816452 2.89183998 2.90165138 2.91000223 2.91881132 2.92509174 2.93193865 2.9402256 2.94746685 2.95504737 2.96117353 2.96743298 2.97369719 2.97928619 2.98501372 2.99021864 2.99527836 3.00136089 3.00588393 3.01046371 3.01450682 3.01943493 3.02281666 3.02704573 3.03091526 3.03455877 3.03855586 3.041677 3.04522848 3.04910421 3.05271864 3.05657482 3.05920339 3.06259489 3.06587982 3.06951523 3.0735569 3.07617092 3.07916117 3.08225965 3.08511853 3.08777499 3.09086561 3.09358454 3.09562469 3.09845924 3.10126853 3.10371923 3.10688829 3.10934782 3.11187506 3.11452508 3.11714792 3.11959553 3.12213421 3.12524724 3.12759304 3.12986755 3.13234377 3.13476229 3.13743305 3.13930225 3.14158607 ------------------------------ Transdef: Tab for variable 11 1.62124634E-05 0.00696789799 0.0126208588 0.0196648836 0.026661396 0.0331816673 0.042494297 0.0503384545 0.0571745485 0.0646497682 0.0742958188 0.0823886991 0.0884600878 0.0964004993 0.105477154 0.112459123 0.118472666 0.128326297 0.135802865 0.143156439 0.150819972 0.158056274 0.165344521 0.172368139 0.179603577 0.185485363 0.191419065 0.196955144 0.202866107 0.208546042 0.213555634 0.218812943 0.224617332 0.229252338 0.233682513 0.240132928 0.246155858 0.251076102 0.256898671 0.260637462 0.265362501 0.27109468 0.276913643 0.282877922 0.289112508 0.294755459 0.300486982 0.306081593 0.31223923 0.31775409 0.324158072 0.329786777 0.335901141 0.341022611 0.347101808 0.351945877 0.357896805 0.36289835 0.368527353 0.376366973 0.383926809 0.390726209 0.397581816 0.404064715 0.409265637 0.414981842 0.421712637 0.427655578 0.433854878 0.44089222 0.448129177 0.454946518 0.462929487 0.469494104 0.4755826 0.482869983 0.490874887 0.497979969 0.505368233 0.511089385 0.519261062 0.528122246 0.53692162 0.546834052 0.555444241 0.564441204 0.575383067 0.586191058 0.595371127 0.607319474 0.621331513 0.638071537 0.654390931 0.668879747 0.687980711 0.706414521 0.72709167 0.753714085 0.789321244 0.855336666 1.09309101 ------------------------------ Transdef: Tab for variable 12 0.200196758 0.212444693 0.221052796 0.231269345 0.238995895 0.246698678 0.254824281 0.261800766 0.269567639 0.276478529 0.282449186 0.290430069 0.296218306 0.302594364 0.310133427 0.317349494 0.324159622 0.330156267 0.336958528 0.343630195 0.350057364 0.358431399 0.364269972 0.370275974 0.375739068 0.383340865 0.390853941 0.396192849 0.401678085 0.408133745 0.412669063 0.41619119 0.421271592 0.42507112 0.42911303 0.433126062 0.436610371 0.44052726 0.445353568 0.448910236 0.453522444 0.458027303 0.462087393 0.466268212 0.470220685 0.474553972 0.478280067 0.482628286 0.487151027 0.491134703 0.495107591 0.498847753 0.502526939 0.50696528 0.511040032 0.515426993 0.51981461 0.523869753 0.528010726 0.532654881 0.537785888 0.541626871 0.546539545 0.551896334 0.557435513 0.561746895 0.565430641 0.570424795 0.575196981 0.579992294 0.584273219 0.589863658 0.595593572 0.601387978 0.607088923 0.612930655 0.620373905 0.627251863 0.633407474 0.640509367 0.648895144 0.657174706 0.66387099 0.670864284 0.679862678 0.68944931 0.697823524 0.705731511 0.715940714 0.725386739 0.735851824 0.747218847 0.758315265 0.772610784 0.784750342 0.801048994 0.817543507 0.842151999 0.868297338 0.913560033 1.13498271 ------------------------------ Transdef: Tab for variable 13 20.041338 21.40765 22.2579632 22.7799835 23.2958908 23.7521858 24.3116856 24.8207321 25.3614693 25.7835388 26.153101 26.5633202 26.89291 27.2465572 27.5972424 27.9921341 28.248642 28.5500603 28.9242439 29.1973419 29.4813042 29.7649498 30.0771961 30.3879547 30.7172661 31.0207615 31.3397808 31.7448807 32.0792007 32.4059448 32.7305679 33.0051003 33.2858734 33.5908813 33.9389496 34.3771172 34.7097855 35.059288 35.4225922 35.7371674 36.1231384 36.4650993 36.8506927 37.194603 37.5056458 37.8832779 38.2628212 38.6273422 39.0074005 39.4712753 39.908596 40.3815308 40.8230972 41.27425 41.7283401 42.2142525 42.7661591 43.207489 43.5595055 44.0711288 44.6690826 45.215004 45.8034439 46.412796 47.0061722 47.5991631 48.1391754 48.6395607 49.1585655 49.8242798 50.578083 51.2610321 51.9072342 52.6887054 53.6573563 54.2232437 55.0187073 55.9053421 56.6757736 57.7648544 58.7920723 60.0959435 61.1641998 62.4721184 63.7252121 65.0754547 66.7533264 68.0589294 69.7125549 71.5085144 73.6893082 75.589447 77.58284 79.8990173 82.7099304 86.7968903 90.9839478 95.6502838 102.859879 114.33931 258.730316 ------------------------------ Transdef: Tab for variable 14 10.0302553 10.5992889 11.1227636 11.4953861 11.811348 12.1849918 12.5014973 12.78899 13.0781193 13.3717251 13.5765305 13.8456621 14.0792408 14.2886715 14.5327368 14.7322826 14.9775848 15.1874695 15.4301481 15.6323748 15.8542061 16.1063423 16.3253937 16.6200218 16.8739758 17.074398 17.3022156 17.5520992 17.7703075 18.0648422 18.2971783 18.5414734 18.8140221 19.052002 19.2972641 19.5243244 19.7931271 20.093956 20.365097 20.5998726 20.9168358 21.2198048 21.4904327 21.759903 22.0240898 22.3272934 22.5796928 22.8824177 23.1550293 23.4365578 23.7292519 23.9648666 24.2194557 24.4969597 24.7944221 25.0717545 25.40201 25.748724 26.0868187 26.3719883 26.7500381 27.1068039 27.4557877 27.7148209 28.0614719 28.3955765 28.7727776 29.1666298 29.5351276 29.9340649 30.242321 30.656805 31.0736504 31.4562225 31.8326874 32.214859 32.7119217 33.1902351 33.600975 34.2192001 34.8153763 35.2822037 35.8904305 36.585331 37.2459488 37.9950256 38.6380005 39.5079117 40.4494019 41.2915649 42.3971481 43.4974747 44.9168167 46.4003792 47.8832054 50.1495361 52.7514496 55.8948746 59.4484177 67.1230164 112.877548 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 64.2 44.4 46.8 27.3 50.2 60.8 52.2 62.5 -29.8 -10.7 -20.7 0.7 6.2 2 64.2 100.0 62.2 53.9 31.2 70.9 93.9 72.8 91.5 -47.9 -18.4 -34.4 18.0 16.2 3 44.4 62.2 100.0 31.8 5.6 34.1 65.8 52.1 68.7 -16.9 -17.8 -35.8 53.8 7.1 4 46.8 53.9 31.8 100.0 11.9 33.9 55.3 46.7 60.1 -13.7 -22.3 -42.9 4.3 58.6 5 27.3 31.2 5.6 11.9 100.0 81.9 3.2 50.8 53.9 23.4 -5.7 -7.1 -9.9 -3.7 6 50.2 70.9 34.1 33.9 81.9 100.0 49.1 76.3 81.7 -10.1 -12.2 -21.6 2.5 5.6 7 60.8 93.9 65.8 55.3 3.2 49.1 100.0 66.3 79.6 -54.8 -16.2 -33.2 24.2 20.5 8 52.2 72.8 52.1 46.7 50.8 76.3 66.3 100.0 81.1 -13.0 -19.2 -31.5 17.2 16.7 9 62.5 91.5 68.7 60.1 53.9 81.7 79.6 81.1 100.0 -23.9 -21.5 -39.6 22.8 20.9 10 -29.8 -47.9 -16.9 -13.7 23.4 -10.1 -54.8 -13.0 -23.9 100.0 3.5 6.7 -1.0 -1.1 11 -10.7 -18.4 -17.8 -22.3 -5.7 -12.2 -16.2 -19.2 -21.5 3.5 100.0 55.6 4.0 -1.9 12 -20.7 -34.4 -35.8 -42.9 -7.1 -21.6 -33.2 -31.5 -39.6 6.7 55.6 100.0 -3.2 -9.8 13 0.7 18.0 53.8 4.3 -9.9 2.5 24.2 17.2 22.8 -1.0 4.0 -3.2 100.0 48.0 14 6.2 16.2 7.1 58.6 -3.7 5.6 20.5 16.7 20.9 -1.1 -1.9 -9.8 48.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 152.770048 TOTAL CORRELATION OF ALL VARIABLES 71.1940629 ROUND 1: MAX CORR ( 71.1905237) AFTER KILLING INPUT VARIABLE 11 CONTR 0.709874857 ROUND 2: MAX CORR ( 71.1843539) AFTER KILLING INPUT VARIABLE 8 CONTR 0.937246698 ROUND 3: MAX CORR ( 71.1618455) AFTER KILLING INPUT VARIABLE 6 CONTR 1.7899656 ROUND 4: MAX CORR ( 71.0589282) AFTER KILLING INPUT VARIABLE 2 CONTR 3.82583053 ROUND 5: MAX CORR ( 70.8295945) AFTER KILLING INPUT VARIABLE 13 CONTR 5.70436823 ROUND 6: MAX CORR ( 70.3240561) AFTER KILLING INPUT VARIABLE 10 CONTR 8.44740177 ROUND 7: MAX CORR ( 69.8585309) AFTER KILLING INPUT VARIABLE 9 CONTR 8.07827477 ROUND 8: MAX CORR ( 69.5138871) AFTER KILLING INPUT VARIABLE 3 CONTR 6.93064496 ROUND 9: MAX CORR ( 68.9996437) AFTER KILLING INPUT VARIABLE 12 CONTR 8.43976695 ROUND 10: MAX CORR ( 67.1533348) AFTER KILLING INPUT VARIABLE 14 CONTR 15.8549821 ROUND 11: MAX CORR ( 65.9258662) AFTER KILLING INPUT VARIABLE 4 CONTR 12.7808666 ROUND 12: MAX CORR ( 60.8294113) AFTER KILLING INPUT VARIABLE 5 CONTR 25.4165803 LAST REMAINING VARIABLE: 7 total correlation to target: 71.1940629 % total significance: 62.2234888 sigma correlations of single variables to target: variable 2: 64.1539931 % , in sigma: 56.0704799 variable 3: 44.3939451 % , in sigma: 38.8002319 variable 4: 46.7609186 % , in sigma: 40.8689626 variable 5: 27.3220942 % , in sigma: 23.8794634 variable 6: 50.2144199 % , in sigma: 43.8873168 variable 7: 60.8294113 % , in sigma: 53.164801 variable 8: 52.2121978 % , in sigma: 45.6333713 variable 9: 62.4690796 % , in sigma: 54.5978683 variable 10: -29.7754289 % , in sigma: 26.0236738 variable 11: -10.6502801 % , in sigma: 9.30832651 variable 12: -20.7283317 % , in sigma: 18.1165263 variable 13: 0.701275912 % , in sigma: 0.612913943 variable 14: 6.21974058 % , in sigma: 5.43604259 variables sorted by significance: 1 most relevant variable 7 corr 60.8294106 , in sigma: 53.1648004 2 most relevant variable 5 corr 25.4165802 , in sigma: 22.2140475 3 most relevant variable 4 corr 12.7808666 , in sigma: 11.1704555 4 most relevant variable 14 corr 15.8549824 , in sigma: 13.8572274 5 most relevant variable 12 corr 8.43976688 , in sigma: 7.37634177 6 most relevant variable 3 corr 6.93064499 , in sigma: 6.05737183 7 most relevant variable 9 corr 8.07827473 , in sigma: 7.06039825 8 most relevant variable 10 corr 8.447402 , in sigma: 7.38301485 9 most relevant variable 13 corr 5.70436811 , in sigma: 4.98560794 10 most relevant variable 2 corr 3.82583046 , in sigma: 3.34376926 11 most relevant variable 6 corr 1.78996563 , in sigma: 1.56442689 12 most relevant variable 8 corr 0.93724668 , in sigma: 0.81915199 13 most relevant variable 11 corr 0.709874868 , in sigma: 0.620429417 global correlations between input variables: variable 2: 99.1521681 % variable 3: 92.2688074 % variable 4: 90.2383265 % variable 5: 95.1592585 % variable 6: 95.624786 % variable 7: 98.6185007 % variable 8: 88.4754384 % variable 9: 98.8024352 % variable 10: 70.8892571 % variable 11: 56.6682849 % variable 12: 67.4207714 % variable 13: 85.8246478 % variable 14: 86.8660142 % significance loss when removing single variables: variable 2: corr = 3.55854365 % , sigma = 3.11016104 variable 3: corr = 14.0791656 % , sigma = 12.3051666 variable 4: corr = 17.5722843 % , sigma = 15.3581463 variable 5: corr = 12.0867313 % , sigma = 10.5637824 variable 6: corr = 1.26277892 % , sigma = 1.10366661 variable 7: corr = 5.57427282 % , sigma = 4.87190488 variable 8: corr = 0.998025736 % , sigma = 0.872272781 variable 9: corr = 9.02487614 % , sigma = 7.88772626 variable 10: corr = 7.00087234 % , sigma = 6.11875041 variable 11: corr = 0.709874857 % , sigma = 0.620429407 variable 12: corr = 7.62219812 % , sigma = 6.66178807 variable 13: corr = 5.57222294 % , sigma = 4.87011329 variable 14: corr = 6.15044705 % , sigma = 5.37548017 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 7 --> 7.9296174 sigma out 15 active outputs RANK 2 NODE 5 --> 7.16752815 sigma out 15 active outputs RANK 3 NODE 1 --> 6.97999525 sigma out 15 active outputs RANK 4 NODE 4 --> 6.45189047 sigma out 15 active outputs RANK 5 NODE 2 --> 6.32776737 sigma out 15 active outputs RANK 6 NODE 10 --> 6.25876379 sigma out 15 active outputs RANK 7 NODE 9 --> 5.9546833 sigma out 15 active outputs RANK 8 NODE 8 --> 5.17184496 sigma out 15 active outputs RANK 9 NODE 3 --> 4.32512808 sigma out 15 active outputs RANK 10 NODE 6 --> 4.17610979 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 9.44290352 sigma in 10act. ( 10.1791592 sig out 1act.) RANK 2 NODE 8 --> 9.11864662 sigma in 10act. ( 9.33734035 sig out 1act.) RANK 3 NODE 4 --> 8.78914261 sigma in 10act. ( 9.1586895 sig out 1act.) RANK 4 NODE 12 --> 4.98493242 sigma in 10act. ( 5.3591857 sig out 1act.) RANK 5 NODE 7 --> 4.68962812 sigma in 10act. ( 4.37651777 sig out 1act.) RANK 6 NODE 6 --> 3.90403438 sigma in 10act. ( 4.02152395 sig out 1act.) RANK 7 NODE 3 --> 3.82610703 sigma in 10act. ( 3.90722823 sig out 1act.) RANK 8 NODE 15 --> 3.5936532 sigma in 10act. ( 3.05135965 sig out 1act.) RANK 9 NODE 13 --> 3.05970931 sigma in 10act. ( 3.15369558 sig out 1act.) RANK 10 NODE 5 --> 2.98586082 sigma in 10act. ( 3.39420176 sig out 1act.) RANK 11 NODE 10 --> 2.94304395 sigma in 10act. ( 2.95058036 sig out 1act.) RANK 12 NODE 2 --> 2.93371463 sigma in 10act. ( 2.69531941 sig out 1act.) RANK 13 NODE 1 --> 1.78576458 sigma in 10act. ( 0.259604037 sig out 1act.) RANK 14 NODE 14 --> 1.70425248 sigma in 10act. ( 1.69061232 sig out 1act.) RANK 15 NODE 9 --> 1.14981985 sigma in 10act. ( 0.788178742 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 10.1791592 sigma out 1act.( 9.44290352 sig in 10act.) RANK 2 NODE 8 --> 9.33734035 sigma out 1act.( 9.11864662 sig in 10act.) RANK 3 NODE 4 --> 9.1586895 sigma out 1act.( 8.78914261 sig in 10act.) RANK 4 NODE 12 --> 5.3591857 sigma out 1act.( 4.98493242 sig in 10act.) RANK 5 NODE 7 --> 4.37651777 sigma out 1act.( 4.68962812 sig in 10act.) RANK 6 NODE 6 --> 4.02152395 sigma out 1act.( 3.90403438 sig in 10act.) RANK 7 NODE 3 --> 3.90722823 sigma out 1act.( 3.82610703 sig in 10act.) RANK 8 NODE 5 --> 3.39420176 sigma out 1act.( 2.98586082 sig in 10act.) RANK 9 NODE 13 --> 3.15369558 sigma out 1act.( 3.05970931 sig in 10act.) RANK 10 NODE 15 --> 3.05135965 sigma out 1act.( 3.5936532 sig in 10act.) RANK 11 NODE 10 --> 2.95058036 sigma out 1act.( 2.94304395 sig in 10act.) RANK 12 NODE 2 --> 2.69531941 sigma out 1act.( 2.93371463 sig in 10act.) RANK 13 NODE 14 --> 1.69061232 sigma out 1act.( 1.70425248 sig in 10act.) RANK 14 NODE 9 --> 0.788178742 sigma out 1act.( 1.14981985 sig in 10act.) RANK 15 NODE 1 --> 0.259604037 sigma out 1act.( 1.78576458 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 20.1069965 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 14.9163485 sigma out 15 active outputs RANK 2 NODE 5 --> 10.9924183 sigma out 15 active outputs RANK 3 NODE 7 --> 9.70266533 sigma out 15 active outputs RANK 4 NODE 4 --> 8.44686985 sigma out 15 active outputs RANK 5 NODE 10 --> 8.23479462 sigma out 15 active outputs RANK 6 NODE 1 --> 8.14050484 sigma out 15 active outputs RANK 7 NODE 9 --> 8.0282259 sigma out 15 active outputs RANK 8 NODE 8 --> 7.43633509 sigma out 15 active outputs RANK 9 NODE 3 --> 6.61607838 sigma out 15 active outputs RANK 10 NODE 6 --> 5.957829 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 11 --> 11.0615139 sigma in 10act. ( 10.1027431 sig out 1act.) RANK 2 NODE 4 --> 9.88134575 sigma in 10act. ( 8.86906338 sig out 1act.) RANK 3 NODE 8 --> 9.80401325 sigma in 10act. ( 9.17791748 sig out 1act.) RANK 4 NODE 7 --> 7.95564318 sigma in 10act. ( 4.99598598 sig out 1act.) RANK 5 NODE 3 --> 7.90489864 sigma in 10act. ( 4.48290682 sig out 1act.) RANK 6 NODE 9 --> 7.68770123 sigma in 10act. ( 2.16432118 sig out 1act.) RANK 7 NODE 15 --> 7.53384686 sigma in 10act. ( 3.73346043 sig out 1act.) RANK 8 NODE 2 --> 7.48523617 sigma in 10act. ( 3.47019839 sig out 1act.) RANK 9 NODE 5 --> 7.25923538 sigma in 10act. ( 4.42182541 sig out 1act.) RANK 10 NODE 12 --> 6.91159487 sigma in 10act. ( 6.29492998 sig out 1act.) RANK 11 NODE 14 --> 6.12317944 sigma in 10act. ( 3.15205002 sig out 1act.) RANK 12 NODE 10 --> 5.7098341 sigma in 10act. ( 3.33917928 sig out 1act.) RANK 13 NODE 13 --> 4.85957098 sigma in 10act. ( 2.8504982 sig out 1act.) RANK 14 NODE 6 --> 4.58258533 sigma in 10act. ( 4.17504978 sig out 1act.) RANK 15 NODE 1 --> 3.59985089 sigma in 10act. ( 0.0694518611 sig out 1act.) sorted by output significance RANK 1 NODE 11 --> 10.1027431 sigma out 1act.( 11.0615139 sig in 10act.) RANK 2 NODE 8 --> 9.17791748 sigma out 1act.( 9.80401325 sig in 10act.) RANK 3 NODE 4 --> 8.86906338 sigma out 1act.( 9.88134575 sig in 10act.) RANK 4 NODE 12 --> 6.29492998 sigma out 1act.( 6.91159487 sig in 10act.) RANK 5 NODE 7 --> 4.99598598 sigma out 1act.( 7.95564318 sig in 10act.) RANK 6 NODE 3 --> 4.48290682 sigma out 1act.( 7.90489864 sig in 10act.) RANK 7 NODE 5 --> 4.42182541 sigma out 1act.( 7.25923538 sig in 10act.) RANK 8 NODE 6 --> 4.17504978 sigma out 1act.( 4.58258533 sig in 10act.) RANK 9 NODE 15 --> 3.73346043 sigma out 1act.( 7.53384686 sig in 10act.) RANK 10 NODE 2 --> 3.47019839 sigma out 1act.( 7.48523617 sig in 10act.) RANK 11 NODE 10 --> 3.33917928 sigma out 1act.( 5.7098341 sig in 10act.) RANK 12 NODE 14 --> 3.15205002 sigma out 1act.( 6.12317944 sig in 10act.) RANK 13 NODE 13 --> 2.8504982 sigma out 1act.( 4.85957098 sig in 10act.) RANK 14 NODE 9 --> 2.16432118 sigma out 1act.( 7.68770123 sig in 10act.) RANK 15 NODE 1 --> 0.0694518611 sigma out 1act.( 3.59985089 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 21.1307106 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.464488029 *** contribution from regularisation: 0.0128681725 *** contribution from error: -0.477356195 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.519606054 *** contribution from regularisation: 0.00562002044 *** contribution from error: -0.525226057 *********************************************** -----------------> Test sample ENTER BFGS code START -11858.1337 -0.14611873 0.0257051606 EXIT FROM BFGS code FG_START 0. -0.14611873 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.537927628 *** contribution from regularisation: 0.00513684237 *** contribution from error: -0.543064475 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -12273.8952 -0.14611873 21.3156586 EXIT FROM BFGS code FG_LNSRCH 0. -0.123011358 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.566713333 *** contribution from regularisation: 0.00833110511 *** contribution from error: -0.575044453 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12930.6984 -0.123011358 41.4267845 EXIT FROM BFGS code NEW_X -12930.6984 -0.123011358 41.4267845 ENTER BFGS code NEW_X -12930.6984 -0.123011358 41.4267845 EXIT FROM BFGS code FG_LNSRCH 0. -0.0811527073 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.568853736 *** contribution from regularisation: 0.00856923591 *** contribution from error: -0.577422976 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12979.5359 -0.0811527073 22.1574135 EXIT FROM BFGS code NEW_X -12979.5359 -0.0811527073 22.1574135 ENTER BFGS code NEW_X -12979.5359 -0.0811527073 22.1574135 EXIT FROM BFGS code FG_LNSRCH 0. -0.0106414445 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.571277022 *** contribution from regularisation: 0.00822240859 *** contribution from error: -0.579499424 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13034.8283 -0.0106414445 4.30425978 EXIT FROM BFGS code NEW_X -13034.8283 -0.0106414445 4.30425978 ENTER BFGS code NEW_X -13034.8283 -0.0106414445 4.30425978 EXIT FROM BFGS code FG_LNSRCH 0. 0.044408612 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.571906626 *** contribution from regularisation: 0.00774296559 *** contribution from error: -0.579649568 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13049.1931 0.044408612 -5.45323038 EXIT FROM BFGS code NEW_X -13049.1931 0.044408612 -5.45323038 ENTER BFGS code NEW_X -13049.1931 0.044408612 -5.45323038 EXIT FROM BFGS code FG_LNSRCH 0. 0.0972109884 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.572271764 *** contribution from regularisation: 0.00723290863 *** contribution from error: -0.579504669 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13057.5252 0.0972109884 -10.5659227 EXIT FROM BFGS code NEW_X -13057.5252 0.0972109884 -10.5659227 ENTER BFGS code NEW_X -13057.5252 0.0972109884 -10.5659227 EXIT FROM BFGS code FG_LNSRCH 0. 0.49849838 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.562046945 *** contribution from regularisation: 0.00547712808 *** contribution from error: -0.567524076 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -12824.2252 0.49849838 -67.2423782 EXIT FROM BFGS code FG_LNSRCH 0. 0.207284451 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 19.9862595 sigma out 15 active outputs RANK 2 NODE 5 --> 9.26428318 sigma out 15 active outputs RANK 3 NODE 1 --> 8.56496716 sigma out 15 active outputs RANK 4 NODE 3 --> 7.77435493 sigma out 15 active outputs RANK 5 NODE 6 --> 7.73610973 sigma out 15 active outputs RANK 6 NODE 10 --> 5.26737213 sigma out 15 active outputs RANK 7 NODE 9 --> 4.90019989 sigma out 15 active outputs RANK 8 NODE 4 --> 4.80140734 sigma out 15 active outputs RANK 9 NODE 7 --> 4.57945442 sigma out 15 active outputs RANK 10 NODE 8 --> 3.75091028 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 11.5599384 sigma in 10act. ( 7.26595354 sig out 1act.) RANK 2 NODE 2 --> 10.1707745 sigma in 10act. ( 6.77720881 sig out 1act.) RANK 3 NODE 15 --> 9.90136528 sigma in 10act. ( 5.8940053 sig out 1act.) RANK 4 NODE 3 --> 8.72546291 sigma in 10act. ( 5.06508923 sig out 1act.) RANK 5 NODE 11 --> 7.91447544 sigma in 10act. ( 5.57038593 sig out 1act.) RANK 6 NODE 5 --> 7.73824263 sigma in 10act. ( 4.32335281 sig out 1act.) RANK 7 NODE 14 --> 7.68083 sigma in 10act. ( 3.95818424 sig out 1act.) RANK 8 NODE 7 --> 6.9471941 sigma in 10act. ( 3.64356589 sig out 1act.) RANK 9 NODE 10 --> 5.44810629 sigma in 10act. ( 2.72316313 sig out 1act.) RANK 10 NODE 6 --> 5.44510317 sigma in 10act. ( 3.90112472 sig out 1act.) RANK 11 NODE 12 --> 5.06456184 sigma in 10act. ( 2.24699807 sig out 1act.) RANK 12 NODE 8 --> 4.90701389 sigma in 10act. ( 2.82314086 sig out 1act.) RANK 13 NODE 4 --> 4.41996479 sigma in 10act. ( 1.2819674 sig out 1act.) RANK 14 NODE 13 --> 3.86557221 sigma in 10act. ( 1.88301861 sig out 1act.) RANK 15 NODE 1 --> 2.05223083 sigma in 10act. ( 0.442951173 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 7.26595354 sigma out 1act.( 11.5599384 sig in 10act.) RANK 2 NODE 2 --> 6.77720881 sigma out 1act.( 10.1707745 sig in 10act.) RANK 3 NODE 15 --> 5.8940053 sigma out 1act.( 9.90136528 sig in 10act.) RANK 4 NODE 11 --> 5.57038593 sigma out 1act.( 7.91447544 sig in 10act.) RANK 5 NODE 3 --> 5.06508923 sigma out 1act.( 8.72546291 sig in 10act.) RANK 6 NODE 5 --> 4.32335281 sigma out 1act.( 7.73824263 sig in 10act.) RANK 7 NODE 14 --> 3.95818424 sigma out 1act.( 7.68083 sig in 10act.) RANK 8 NODE 6 --> 3.90112472 sigma out 1act.( 5.44510317 sig in 10act.) RANK 9 NODE 7 --> 3.64356589 sigma out 1act.( 6.9471941 sig in 10act.) RANK 10 NODE 8 --> 2.82314086 sigma out 1act.( 4.90701389 sig in 10act.) RANK 11 NODE 10 --> 2.72316313 sigma out 1act.( 5.44810629 sig in 10act.) RANK 12 NODE 12 --> 2.24699807 sigma out 1act.( 5.06456184 sig in 10act.) RANK 13 NODE 13 --> 1.88301861 sigma out 1act.( 3.86557221 sig in 10act.) RANK 14 NODE 4 --> 1.2819674 sigma out 1act.( 4.41996479 sig in 10act.) RANK 15 NODE 1 --> 0.442951173 sigma out 1act.( 2.05223083 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.6979446 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.569038153 *** contribution from regularisation: 0.0100235138 *** contribution from error: -0.579061687 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -12983.744 0.207284451 -21.0581608 EXIT FROM BFGS code FG_LNSRCH 0. 0.10764686 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.570834517 *** contribution from regularisation: 0.00865980703 *** contribution from error: -0.579494298 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13024.7314 0.10764686 -11.0250225 EXIT FROM BFGS code FG_LNSRCH 0. 0.0975019634 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.571697533 *** contribution from regularisation: 0.00780704897 *** contribution from error: -0.579504609 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13044.422 0.0975019634 -10.6130428 EXIT FROM BFGS code FG_LNSRCH 0. 0.0972116366 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.571701527 *** contribution from regularisation: 0.00780313089 *** contribution from error: -0.579504669 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13044.5143 0.0972116366 -10.5319958 EXIT FROM BFGS code FG_LNSRCH 0. 0.0972109884 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.571638286 *** contribution from regularisation: 0.00786642078 *** contribution from error: -0.579504728 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13043.0704 0.0972109884 -10.5635214 EXIT FROM BFGS code FG_LNSRCH 0. 0.0972109884 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.57164818 *** contribution from regularisation: 0.00785649847 *** contribution from error: -0.579504669 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13043.2968 0.0972109884 -10.5666561 EXIT FROM BFGS code FG_LNSRCH 0. 0.0972109884 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.571564198 *** contribution from regularisation: 0.00794047769 *** contribution from error: -0.579504669 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -13041.3806 0.0972109884 -10.5403366 EXIT FROM BFGS code NEW_X -13041.3806 0.0972109884 -10.5403366 ENTER BFGS code NEW_X -13041.3806 0.0972109884 -10.5403366 EXIT FROM BFGS code CONVERGENC -13041.3806 0.0972109884 -10.5403366 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 25.5277691 sigma out 15 active outputs RANK 2 NODE 1 --> 14.9712887 sigma out 15 active outputs RANK 3 NODE 5 --> 13.7973728 sigma out 15 active outputs RANK 4 NODE 3 --> 10.7894459 sigma out 15 active outputs RANK 5 NODE 6 --> 10.5342245 sigma out 15 active outputs RANK 6 NODE 7 --> 8.44945145 sigma out 15 active outputs RANK 7 NODE 10 --> 8.30228138 sigma out 15 active outputs RANK 8 NODE 4 --> 7.90007782 sigma out 15 active outputs RANK 9 NODE 9 --> 7.63483191 sigma out 15 active outputs RANK 10 NODE 8 --> 6.29966259 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 16.5188198 sigma in 10act. ( 12.2181234 sig out 1act.) RANK 2 NODE 15 --> 16.1743336 sigma in 10act. ( 11.9616165 sig out 1act.) RANK 3 NODE 11 --> 12.2949295 sigma in 10act. ( 11.4507313 sig out 1act.) RANK 4 NODE 2 --> 12.1260757 sigma in 10act. ( 10.6050768 sig out 1act.) RANK 5 NODE 5 --> 11.5131836 sigma in 10act. ( 9.12112522 sig out 1act.) RANK 6 NODE 3 --> 11.20924 sigma in 10act. ( 9.32679176 sig out 1act.) RANK 7 NODE 14 --> 10.8166599 sigma in 10act. ( 7.7532649 sig out 1act.) RANK 8 NODE 7 --> 9.06634235 sigma in 10act. ( 8.13542747 sig out 1act.) RANK 9 NODE 6 --> 8.27203655 sigma in 10act. ( 7.04373026 sig out 1act.) RANK 10 NODE 8 --> 7.73415089 sigma in 10act. ( 6.92629099 sig out 1act.) RANK 11 NODE 10 --> 7.47655439 sigma in 10act. ( 5.8752985 sig out 1act.) RANK 12 NODE 12 --> 7.11363697 sigma in 10act. ( 5.47530174 sig out 1act.) RANK 13 NODE 4 --> 5.85050774 sigma in 10act. ( 4.15949535 sig out 1act.) RANK 14 NODE 13 --> 5.36717319 sigma in 10act. ( 4.23525095 sig out 1act.) RANK 15 NODE 1 --> 2.52918673 sigma in 10act. ( 0.838758409 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 12.2181234 sigma out 1act.( 16.5188198 sig in 10act.) RANK 2 NODE 15 --> 11.9616165 sigma out 1act.( 16.1743336 sig in 10act.) RANK 3 NODE 11 --> 11.4507313 sigma out 1act.( 12.2949295 sig in 10act.) RANK 4 NODE 2 --> 10.6050768 sigma out 1act.( 12.1260757 sig in 10act.) RANK 5 NODE 3 --> 9.32679176 sigma out 1act.( 11.20924 sig in 10act.) RANK 6 NODE 5 --> 9.12112522 sigma out 1act.( 11.5131836 sig in 10act.) RANK 7 NODE 7 --> 8.13542747 sigma out 1act.( 9.06634235 sig in 10act.) RANK 8 NODE 14 --> 7.7532649 sigma out 1act.( 10.8166599 sig in 10act.) RANK 9 NODE 6 --> 7.04373026 sigma out 1act.( 8.27203655 sig in 10act.) RANK 10 NODE 8 --> 6.92629099 sigma out 1act.( 7.73415089 sig in 10act.) RANK 11 NODE 10 --> 5.8752985 sigma out 1act.( 7.47655439 sig in 10act.) RANK 12 NODE 12 --> 5.47530174 sigma out 1act.( 7.11363697 sig in 10act.) RANK 13 NODE 13 --> 4.23525095 sigma out 1act.( 5.36717319 sig in 10act.) RANK 14 NODE 4 --> 4.15949535 sigma out 1act.( 5.85050774 sig in 10act.) RANK 15 NODE 1 --> 0.838758409 sigma out 1act.( 2.52918673 sig in 10act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 32.1007805 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.571756542 *** contribution from regularisation: 0.00774812559 *** contribution from error: -0.579504669 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25490 Closing output file done