NNInput NNInputs_130.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= 186466 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 = 46666 nbkg = 139800 Bkg Entries: 139800 Sig Entries: 46666 Chosen entries: 46666 Signal fraction: 1 Background fraction: 0.333805 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 139800 Actual Signal Entries: 46666 Entries to split: 46666 Test with : 23333 Train with : 23333 ********************************************* * 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= 46666 for Signal Prepared event 0 for Signal with 46666 events ====Entry 0 Variable Ht : 151.435 Variable LepAPt : 41.3573 Variable LepBPt : 14.9662 Variable MetSigLeptonsJets : 5.83672 Variable MetSpec : 56.7846 Variable SumEtLeptonsJets : 94.6508 Variable VSumJetLeptonsPt : 42.3463 Variable addEt : 113.108 Variable dPhiLepSumMet : 2.38762 Variable dPhiLeptons : 0.421366 Variable dRLeptons : 0.581604 Variable lep1_E : 44.5356 Variable lep2_E : 14.9672 ===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 = 2130 Ht = 151.435 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 41.3573 LepAPt = 41.3573 LepBEt = 14.9662 LepBPt = 14.9662 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 56.7846 MetDelPhi = 1.62286 MetSig = 5.01275 MetSigLeptonsJets = 5.83672 MetSpec = 56.7846 Mjj = 0 MostCentralJetEta = 2.41678 MtllMet = 115.132 Njets = 1 SB = 0 SumEt = 128.324 SumEtJets = 0 SumEtLeptonsJets = 94.6508 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 42.3463 addEt = 113.108 dPhiLepSumMet = 2.38762 dPhiLeptons = 0.421366 dRLeptons = 0.581604 diltype = 55 dimass = 14.4601 event = 2096 jet1_Et = 38.3273 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 44.5356 lep2_E = 14.9672 rand = 0.999742 run = 195245 weight = 2.27324e-06 ===Show End Prepared event 10000 for Signal with 46666 events Prepared event 20000 for Signal with 46666 events Prepared event 30000 for Signal with 46666 events Prepared event 40000 for Signal with 46666 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= 139800 for Background Prepared event 0 for Background with 139800 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 = 0.274241 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 139800 events Prepared event 20000 for Background with 139800 events Prepared event 30000 for Background with 139800 events Prepared event 40000 for Background with 139800 events Prepared event 50000 for Background with 139800 events Prepared event 60000 for Background with 139800 events Prepared event 70000 for Background with 139800 events Prepared event 80000 for Background with 139800 events Prepared event 90000 for Background with 139800 events Prepared event 100000 for Background with 139800 events Prepared event 110000 for Background with 139800 events Prepared event 120000 for Background with 139800 events Prepared event 130000 for Background with 139800 events Warning: found 4430 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 186466 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 4430 negative weights. Signal fraction: 62.009304 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 60.0019798 63.1575966 65.2529144 67.0231018 68.1062317 68.9320831 70.0650864 70.7220078 71.5170441 72.4478378 73.2311859 73.9277191 74.4265442 75.104538 75.5724106 76.1915588 76.8479309 77.3717194 77.9082489 78.5120163 79.1150436 79.6625061 80.28302 80.9303894 81.5451355 82.1872101 82.714325 83.4567108 84.2604218 85.1650391 85.9993439 86.9113617 87.8996201 88.7811737 90.0401306 91.0281067 92.0557404 93.266098 94.4337158 95.7289886 96.7494812 97.9643173 98.8859711 99.7709808 100.832497 101.819283 102.907486 103.960922 104.803619 105.762802 106.675125 107.713867 108.704773 109.86377 110.832092 111.885574 112.905357 113.933716 115.002876 116.139572 117.17675 118.24913 119.346344 120.155312 121.342415 122.506813 123.591476 124.811821 126.016029 127.329826 128.659958 130.098724 131.540176 133.094559 134.796783 136.543396 138.157898 140.202194 142.162659 144.254013 146.438522 148.871948 151.292389 153.695374 156.038605 158.910492 162.137543 165.674774 169.271545 173.095581 176.933624 182.138367 187.908234 194.609207 202.687073 212.256287 224.565338 239.4245 263.113525 310.406433 705.443726 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.2759857 20.5766563 20.8159752 21.0842743 21.3256645 21.5735455 21.8055401 21.9972973 22.1936035 22.3846779 22.5859032 22.782444 22.967865 23.1506672 23.2885513 23.4810638 23.6697178 23.8263474 24.048275 24.2302551 24.4404812 24.5979195 24.826746 25.0192528 25.2076511 25.3632088 25.5456161 25.7022362 25.8921833 26.0676975 26.2186508 26.401123 26.602829 26.8244648 27.0321083 27.258007 27.4503975 27.6497822 27.8322029 28.0071812 28.1843109 28.4038048 28.5965977 28.8023872 29.0205288 29.1964169 29.4052849 29.6589127 29.8232651 30.0767555 30.3217888 30.5599747 30.7732162 31.0384331 31.2917137 31.4921684 31.7317085 31.9844952 32.2207832 32.4806747 32.7378006 32.9976616 33.2643318 33.5480118 33.8146439 34.1212463 34.4033928 34.735878 35.0162468 35.3247871 35.6037674 35.9817886 36.3773041 36.7584686 37.0906906 37.5069199 37.895668 38.3336029 38.7569237 39.170784 39.5985146 40.1254539 40.698101 41.0547104 41.6459084 42.2414322 42.9320374 43.6286201 44.4757729 45.3466682 46.2756729 47.3778343 48.6522903 50.4159775 52.1841736 54.491024 57.9945145 62.8793106 70.9260864 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.1002922 10.2098351 10.3404484 10.4411364 10.5218115 10.6512375 10.7833252 10.8977098 10.9920502 11.0911589 11.2138481 11.3223648 11.4225254 11.5497761 11.6626949 11.7589016 11.8906822 12.0195122 12.1499443 12.2708225 12.4095058 12.5587492 12.6850853 12.8042583 12.9354992 13.0597172 13.1976986 13.3562317 13.4785614 13.6133175 13.7443981 13.8746433 14.0253887 14.1545467 14.2933693 14.4525871 14.6292019 14.8021622 14.9674301 15.1379452 15.3023338 15.442337 15.5909634 15.7355728 15.8629112 16.0207253 16.2156296 16.40448 16.5632515 16.7510643 16.9005394 17.0919495 17.2901306 17.4984589 17.7100563 17.8901711 18.0135078 18.2136707 18.4474831 18.6450577 18.8435783 19.0490761 19.2802277 19.4972153 19.7243462 19.9772243 20.181097 20.3414021 20.5663109 20.7836304 21.01091 21.2462463 21.4763756 21.6902428 21.9180946 22.1322365 22.4155197 22.6881256 22.9845715 23.2755814 23.5797749 23.9076195 24.2372055 24.5592079 24.9189987 25.3146706 25.7549229 26.186039 26.559988 27.0637264 27.6080608 28.1511993 28.754921 29.5802803 30.4739189 31.432827 32.8331261 34.8280296 39.3200188 71.4863358 ------------------------------ Transdef: Tab for variable 5 1.23124409 2.46999884 2.90305853 3.14326429 3.35025263 3.55953884 3.73879623 3.89633083 4.04702759 4.15371704 4.26235485 4.37838459 4.47913551 4.57011127 4.64176416 4.7203083 4.79778671 4.87485886 4.94934511 5.01330471 5.08183098 5.14780426 5.20414257 5.26477623 5.31359482 5.37009144 5.42119074 5.45924664 5.507514 5.53844881 5.58236742 5.62762547 5.66664743 5.71960163 5.76391935 5.80622768 5.84551239 5.88775063 5.92239523 5.96171761 6.00323534 6.03761625 6.07257843 6.10930014 6.14708471 6.18788147 6.2289753 6.26970005 6.30339622 6.34293985 6.38038158 6.41765451 6.45227766 6.49591446 6.53321362 6.57497311 6.61485577 6.65095234 6.69109201 6.73142481 6.77198029 6.81774378 6.86032486 6.89167595 6.93489647 6.9739666 7.02164268 7.056283 7.10267258 7.15135193 7.1932435 7.24248123 7.29068947 7.33428383 7.38043594 7.42845964 7.47632217 7.51885462 7.57454586 7.61909771 7.6824398 7.7368865 7.7956543 7.8594346 7.92052507 7.98011303 8.05905247 8.1210804 8.19671059 8.27450657 8.36612225 8.46112633 8.57367516 8.70059395 8.83743954 8.99664974 9.20794678 9.4959116 9.94119644 10.8254223 20.0349483 ------------------------------ Transdef: Tab for variable 6 15.0050735 19.5966263 24.1287193 25.7092247 26.6035519 27.337368 28.1742477 28.9610329 29.7124062 30.3520679 30.9279442 31.5162468 32.05159 32.5078354 32.9637604 33.4563751 33.8813553 34.289608 34.6773529 34.9803467 35.3409195 35.7022934 36.0654831 36.4174461 36.7238464 37.0059586 37.3096085 37.6365738 37.9474564 38.2699432 38.5863419 38.9196968 39.3217392 39.5922661 39.9062004 40.2274895 40.5000458 40.8255424 41.1681709 41.5595703 41.9341698 42.2465553 42.6156693 42.9574738 43.2348022 43.6967087 44.0286522 44.4770241 44.8776093 45.3658905 45.7984428 46.2865982 46.7217903 47.2011719 47.7247467 48.195343 48.7029953 49.1625519 49.6366196 50.0913544 50.5098038 50.9658585 51.5320358 52.0256691 52.5354156 53.0640335 53.5837097 54.125145 54.5718231 55.1341248 55.6330566 56.11586 56.6553268 57.1979065 57.7284088 58.3015747 58.7588501 59.3041 59.9064484 60.548954 61.1480293 61.7968674 62.522213 63.2534485 64.0198364 64.7808228 65.5777054 66.5103607 67.5637741 68.6827698 69.9972687 71.4085312 73.0491791 75.1029358 76.7372055 79.3203812 82.5401611 86.6099243 92.6560059 103.339172 218.598831 ------------------------------ Transdef: Tab for variable 7 30.1476021 32.808075 33.7059021 34.2716599 34.940239 35.4508667 35.8716469 36.2239838 36.5873795 36.9387398 37.3153229 37.6377525 37.9439697 38.2257843 38.5225258 38.7696991 39.0252075 39.2622528 39.4774933 39.7504272 40.0986252 40.3517227 40.6681404 40.9743729 41.3239975 41.6080513 41.9720001 42.3603516 42.7896881 43.1483727 43.5906067 44.1400261 44.6595001 45.1367493 45.6156006 46.3016853 46.889679 47.4168472 48.0715027 48.6586227 49.3207741 49.9833107 50.7090073 51.3328171 51.9914131 52.6394997 53.2898026 53.9206161 54.5888977 55.2153931 55.8252602 56.4202042 57.1425018 57.6749954 58.2905579 58.9645653 59.6830063 60.3596497 61.0031662 61.5798683 62.330658 63.0004997 63.8201256 64.6687775 65.6086884 66.5893555 67.6790314 68.8971863 70.0934143 71.3667755 72.667717 73.9600372 75.3205795 76.8373184 78.2481232 79.7513123 81.3218536 82.7984314 84.5716095 86.2144928 88.2279968 90.3622284 92.4284515 94.7248993 97.0767975 99.4386749 102.052391 105.117783 108.199501 111.703354 115.068665 119.22226 123.970276 129.082336 136.057175 143.255981 153.572296 166.28418 186.989227 221.07193 486.933777 ------------------------------ Transdef: Tab for variable 8 1.83868217 22.5203457 27.203249 29.3747902 30.9141769 31.846344 32.6525879 33.1738014 33.6214523 34.039753 34.4288864 34.8111801 35.1410751 35.4439087 35.7705231 36.0699043 36.3345108 36.5573959 36.8379555 37.1333694 37.3388977 37.5989151 37.8333015 38.0836182 38.3226013 38.5746155 38.8319016 39.0155411 39.2910385 39.5366974 39.8153496 40.0774117 40.3363686 40.6266022 40.9202156 41.2147293 41.4586639 41.8017197 42.0992813 42.4802246 42.7733536 43.12957 43.4717789 43.8080177 44.210289 44.6126175 45.0453644 45.4898529 45.8891373 46.3098221 46.7954712 47.2164955 47.6872253 48.0563049 48.5399857 48.9419861 49.3816528 49.9006081 50.3802109 50.8173866 51.2556305 51.717762 52.2094231 52.6921082 53.163826 53.6095352 54.0517807 54.4791336 54.960804 55.4737625 55.9534531 56.5026169 56.987175 57.4784431 57.9723969 58.5221405 59.091629 59.6880569 60.2061234 60.8178291 61.327034 61.9799805 62.7253265 63.462574 64.2568817 65.062355 65.9840775 66.987915 68.1595764 69.4576416 70.8377304 72.4328537 74.416153 76.3935852 78.8490906 81.9327393 85.9543304 90.785553 98.8873138 116.958054 296.803314 ------------------------------ Transdef: Tab for variable 9 48.8581314 62.5413437 64.5658112 66.0667877 67.3577271 68.2561646 69.0672379 69.9979553 70.6094513 71.3569336 72.0612488 72.8495026 73.49617 74.0326157 74.5104218 75.1158905 75.5471725 76.0374374 76.6405411 77.0630341 77.5608978 78.0693817 78.55439 79.0579453 79.5639267 79.9897461 80.6520691 81.1407776 81.6366501 82.1753769 82.6612244 83.2453918 83.7675323 84.3855896 85.0855179 85.7586365 86.4756012 86.9454651 87.6850281 88.5027466 89.2211761 90.0955658 90.7632523 91.649971 92.5219879 93.3387909 94.2799988 95.1996613 96.1284027 96.8651733 97.8141174 98.6592331 99.3570251 100.243729 101.090378 101.86216 102.624687 103.452782 104.244339 104.983727 105.727531 106.524368 107.378067 108.150391 108.996918 109.843552 110.553192 111.361084 112.145111 112.966675 113.689445 114.503876 115.208694 116.034454 116.783272 117.699722 118.485924 119.277733 119.955841 120.864502 121.697235 122.560699 123.418762 124.382996 125.359787 126.345612 127.427628 128.534866 129.863815 131.261292 132.615448 134.202789 136.317963 138.642731 141.592834 145.107605 150.166534 156.425812 167.771591 193.264526 424.390259 ------------------------------ Transdef: Tab for variable 10 0.00602381537 0.854114473 1.19049501 1.39675379 1.56111169 1.70271039 1.81066573 1.91145766 1.99647784 2.06807852 2.132061 2.1900754 2.24143934 2.29094553 2.33825397 2.38225746 2.41988349 2.45198846 2.48533869 2.51580977 2.54452181 2.5729847 2.59900904 2.62285972 2.64778948 2.67327166 2.69525242 2.71627474 2.73576307 2.75388575 2.77152634 2.78722763 2.80148506 2.8163147 2.82792807 2.84212112 2.85431957 2.86581469 2.87663603 2.8876214 2.89740109 2.90744829 2.91433001 2.92267752 2.93074703 2.93818045 2.94691896 2.95433378 2.96044946 2.9665904 2.9729495 2.97859025 2.98397446 2.98833466 2.993361 2.99770832 3.00292969 3.00738168 3.01229668 3.01631474 3.02073956 3.02486038 3.02847791 3.03234434 3.03678417 3.04086018 3.04401755 3.04818368 3.05220032 3.05628633 3.05964971 3.0628612 3.06619549 3.06903815 3.07257605 3.07542944 3.07852864 3.08172321 3.08508682 3.08815384 3.09117174 3.0941329 3.09675932 3.09952426 3.10179567 3.10484505 3.10780287 3.11035156 3.11341381 3.11568928 3.11816788 3.12073708 3.12332773 3.12570381 3.12818098 3.13022566 3.13208294 3.13439178 3.13660288 3.13892126 3.1415844 ------------------------------ Transdef: Tab for variable 11 1.91926956E-05 0.00582283735 0.00968465209 0.0159732103 0.0232802629 0.0298883598 0.039161019 0.0474366993 0.0572229624 0.0647491217 0.0736329556 0.0818917826 0.0897752643 0.0969238281 0.104551375 0.111906394 0.119662881 0.128105402 0.136282906 0.144999743 0.15278542 0.160265863 0.167339563 0.174994975 0.181570768 0.188282609 0.196154743 0.202547699 0.209407568 0.215704143 0.222588122 0.228912041 0.234073341 0.239921451 0.246199772 0.252355397 0.258330107 0.263877869 0.269861758 0.275927395 0.281073749 0.286445618 0.292744279 0.298605472 0.303850174 0.309785724 0.315546215 0.321156085 0.327326059 0.33358717 0.339244694 0.344826221 0.35001874 0.355151653 0.360802412 0.366924882 0.372743607 0.378623247 0.384527594 0.389560938 0.396399498 0.402582109 0.408413172 0.414819956 0.421711802 0.427346587 0.433733523 0.439542979 0.446588725 0.452111363 0.458138585 0.463979125 0.470558643 0.476465702 0.483144522 0.490610301 0.497798443 0.505822897 0.512552619 0.52025187 0.527937531 0.534689903 0.540235281 0.548897624 0.55675137 0.567021847 0.576730788 0.586530089 0.596985817 0.608353496 0.622964382 0.635297775 0.64816463 0.663734972 0.681720972 0.702349186 0.724420488 0.756232619 0.795231044 0.853685617 1.14136529 ------------------------------ Transdef: Tab for variable 12 0.20003137 0.22362569 0.240012452 0.253370285 0.265741408 0.275826812 0.284447908 0.294570744 0.303867698 0.312753797 0.321173251 0.328937471 0.336401701 0.343738526 0.350694269 0.355910122 0.362786621 0.369756103 0.376222491 0.382606506 0.388836026 0.39480722 0.399915785 0.404783219 0.409693778 0.413655818 0.417393804 0.421994865 0.425571293 0.42980808 0.433620125 0.437514335 0.440866679 0.444630653 0.448211998 0.452434778 0.456738234 0.460677177 0.465012908 0.469112962 0.472307622 0.47644037 0.479335487 0.482845813 0.486553729 0.489869714 0.493514359 0.49743408 0.501381397 0.5054003 0.50950098 0.513157845 0.517467201 0.521363735 0.524983406 0.529547155 0.533646941 0.537890077 0.542294443 0.547395349 0.55078423 0.554992676 0.559659839 0.5644207 0.568854451 0.573427916 0.577735782 0.58235383 0.587904513 0.593510389 0.597462893 0.60368216 0.609380841 0.615733624 0.62103498 0.627459526 0.633509457 0.638864934 0.645393133 0.651639462 0.658686399 0.663826048 0.671555758 0.678679705 0.688580096 0.697010159 0.705049336 0.714539528 0.721630037 0.730480075 0.740962386 0.752284646 0.763481081 0.775561929 0.791151881 0.806364238 0.825999379 0.849323511 0.877105713 0.921346903 1.14755547 ------------------------------ Transdef: Tab for variable 13 20.0025482 21.3715668 22.1212254 22.6340466 23.214632 23.6844177 24.1935558 24.650856 25.0923729 25.4809189 25.8292408 26.1818714 26.5745811 26.9496098 27.2876282 27.6687965 27.9998741 28.3095093 28.6043892 28.9101295 29.2264786 29.460989 29.7646294 30.0765438 30.347084 30.6430092 30.9057159 31.1342545 31.42313 31.727459 32.0281487 32.3102493 32.5811882 32.8935509 33.1514931 33.4517822 33.7497101 34.088665 34.3685303 34.6523895 34.9852829 35.3059616 35.5570755 35.907692 36.1900826 36.4571686 36.8479118 37.1988029 37.55793 37.9313011 38.292942 38.6216736 39.0127563 39.4299088 39.8107224 40.2016373 40.584919 41.0062714 41.4232826 41.8651733 42.329113 42.7998466 43.3067932 43.73069 44.2188797 44.735733 45.2593994 45.7899857 46.3667297 46.8832321 47.4499283 48.0523491 48.6973267 49.4328842 50.1662598 50.9087753 51.7892189 52.5595436 53.4555817 54.3437843 55.2512589 56.186676 57.1611099 58.262352 59.212944 60.3928528 61.7445755 63.179451 64.7274399 66.6122589 68.1432419 69.4700623 71.5392303 74.3181839 77.0320435 80.4895477 84.2958374 88.3351135 93.9028625 105.312057 230.5327 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.6266575 11.0877514 11.3566341 11.6595907 11.9098063 12.2074585 12.4423246 12.740263 12.9897547 13.2513924 13.5029383 13.745966 13.9614601 14.1869526 14.4475327 14.6851616 14.9010296 15.1427259 15.3951263 15.5942383 15.7956581 16.0255585 16.2797108 16.4826622 16.6698761 16.8683662 17.0807648 17.2979164 17.5340042 17.7368927 17.9328003 18.1470623 18.357542 18.5781746 18.7939682 19.025135 19.1950493 19.4316673 19.701107 19.9551105 20.1993923 20.4603081 20.7028236 20.928688 21.1791058 21.4199314 21.6497478 21.8345146 22.0548668 22.329174 22.5805969 22.8109779 23.0708141 23.2999001 23.5629654 23.8278275 24.112669 24.3553047 24.6176414 24.8834267 25.1630478 25.4346046 25.707386 25.9614201 26.2690487 26.5533028 26.875885 27.2018719 27.5180473 27.8088646 28.039299 28.3879623 28.7467384 29.1294003 29.5220451 29.8938751 30.2786674 30.7075882 31.1260624 31.5337753 31.9797535 32.489502 33.028183 33.4473686 34.0374069 34.6956329 35.3580933 36.1695251 37.0819817 38.0140533 39.0313416 39.9323425 41.2373352 42.7503586 44.4923553 47.1227951 49.7880783 54.0281181 60.7052193 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 56.4 39.2 39.5 12.4 36.4 54.7 41.5 52.9 -29.3 -9.3 -25.2 3.8 7.3 2 56.4 100.0 62.9 50.7 21.4 60.9 93.9 67.0 90.3 -51.3 -19.8 -42.5 29.0 22.5 3 39.2 62.9 100.0 28.4 -1.9 26.7 66.2 47.7 68.9 -19.3 -20.8 -46.7 62.6 9.1 4 39.5 50.7 28.4 100.0 1.7 24.6 52.6 40.1 55.7 -14.3 -25.4 -53.8 8.7 66.8 5 12.4 21.4 -1.9 1.7 100.0 80.9 -6.9 47.3 47.4 26.4 -0.5 1.1 -8.9 -4.7 6 36.4 60.9 26.7 24.6 80.9 100.0 38.4 73.0 75.8 -5.6 -9.8 -18.8 6.0 6.8 7 54.7 93.9 66.2 52.6 -6.9 38.4 100.0 59.8 77.7 -58.0 -19.5 -43.9 33.4 25.4 8 41.5 67.0 47.7 40.1 47.3 73.0 59.8 100.0 78.1 -12.5 -18.4 -34.2 22.0 18.5 9 52.9 90.3 68.9 55.7 47.4 75.8 77.7 78.1 100.0 -26.0 -22.4 -48.0 33.8 26.8 10 -29.3 -51.3 -19.3 -14.3 26.4 -5.6 -58.0 -12.5 -26.0 100.0 3.3 10.0 -6.7 -4.1 11 -9.3 -19.8 -20.8 -25.4 -0.5 -9.8 -19.5 -18.4 -22.4 3.3 100.0 54.2 -8.8 -14.9 12 -25.2 -42.5 -46.7 -53.8 1.1 -18.8 -43.9 -34.2 -48.0 10.0 54.2 100.0 -21.8 -27.6 13 3.8 29.0 62.6 8.7 -8.9 6.0 33.4 22.0 33.8 -6.7 -8.8 -21.8 100.0 40.2 14 7.3 22.5 9.1 66.8 -4.7 6.8 25.4 18.5 26.8 -4.1 -14.9 -27.6 40.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 130.072427 TOTAL CORRELATION OF ALL VARIABLES 63.0284192 ROUND 1: MAX CORR ( 63.0190457) AFTER KILLING INPUT VARIABLE 8 CONTR 1.08696632 ROUND 2: MAX CORR ( 62.9965072) AFTER KILLING INPUT VARIABLE 11 CONTR 1.68529106 ROUND 3: MAX CORR ( 62.8664623) AFTER KILLING INPUT VARIABLE 2 CONTR 4.04571898 ROUND 4: MAX CORR ( 62.6879856) AFTER KILLING INPUT VARIABLE 5 CONTR 4.73376607 ROUND 5: MAX CORR ( 62.6434832) AFTER KILLING INPUT VARIABLE 9 CONTR 2.36168292 ROUND 6: MAX CORR ( 62.438585) AFTER KILLING INPUT VARIABLE 10 CONTR 5.06251845 ROUND 7: MAX CORR ( 62.0497346) AFTER KILLING INPUT VARIABLE 14 CONTR 6.957538 ROUND 8: MAX CORR ( 61.6172328) AFTER KILLING INPUT VARIABLE 12 CONTR 7.3134253 ROUND 9: MAX CORR ( 60.6309011) AFTER KILLING INPUT VARIABLE 4 CONTR 10.9807651 ROUND 10: MAX CORR ( 58.9039594) AFTER KILLING INPUT VARIABLE 6 CONTR 14.367663 ROUND 11: MAX CORR ( 56.7849002) AFTER KILLING INPUT VARIABLE 3 CONTR 15.657316 ROUND 12: MAX CORR ( 54.6704121) AFTER KILLING INPUT VARIABLE 13 CONTR 15.3515773 LAST REMAINING VARIABLE: 7 total correlation to target: 63.0284192 % total significance: 122.516369 sigma correlations of single variables to target: variable 2: 56.400544 % , in sigma: 109.632924 variable 3: 39.1959675 % , in sigma: 76.1901962 variable 4: 39.4800205 % , in sigma: 76.7423463 variable 5: 12.4216163 % , in sigma: 24.1454783 variable 6: 36.4223406 % , in sigma: 70.7987442 variable 7: 54.6704121 % , in sigma: 106.269846 variable 8: 41.5386514 % , in sigma: 80.7439695 variable 9: 52.8847232 % , in sigma: 102.798775 variable 10: -29.3473573 % , in sigma: 57.0461977 variable 11: -9.3271294 % , in sigma: 18.1303298 variable 12: -25.200826 % , in sigma: 48.9860564 variable 13: 3.81884412 % , in sigma: 7.42317389 variable 14: 7.27325918 % , in sigma: 14.1379606 variables sorted by significance: 1 most relevant variable 7 corr 54.670414 , in sigma: 106.26985 2 most relevant variable 13 corr 15.3515778 , in sigma: 29.8408177 3 most relevant variable 3 corr 15.6573162 , in sigma: 30.4351205 4 most relevant variable 6 corr 14.3676634 , in sigma: 27.928258 5 most relevant variable 4 corr 10.9807653 , in sigma: 21.3447127 6 most relevant variable 12 corr 7.31342506 , in sigma: 14.2160361 7 most relevant variable 14 corr 6.95753813 , in sigma: 13.5242534 8 most relevant variable 10 corr 5.0625186 , in sigma: 9.84066244 9 most relevant variable 9 corr 2.36168289 , in sigma: 4.59070395 10 most relevant variable 5 corr 4.73376608 , in sigma: 9.20162429 11 most relevant variable 2 corr 4.04571915 , in sigma: 7.8641798 12 most relevant variable 11 corr 1.68529105 , in sigma: 3.27591495 13 most relevant variable 8 corr 1.08696628 , in sigma: 2.11287485 global correlations between input variables: variable 2: 99.0419763 % variable 3: 93.2700402 % variable 4: 90.6557196 % variable 5: 94.8689068 % variable 6: 93.6017777 % variable 7: 98.5057603 % variable 8: 86.4871381 % variable 9: 98.8180555 % variable 10: 72.1336807 % variable 11: 55.2242621 % variable 12: 73.9688887 % variable 13: 84.3494046 % variable 14: 85.9465009 % significance loss when removing single variables: variable 2: corr = 4.15291877 % , sigma = 8.07255736 variable 3: corr = 12.8401766 % , sigma = 24.9590873 variable 4: corr = 15.5683948 % , sigma = 30.2622726 variable 5: corr = 4.8232295 % , sigma = 9.37552573 variable 6: corr = 4.55860451 % , sigma = 8.86114043 variable 7: corr = 3.26546758 % , sigma = 6.34750541 variable 8: corr = 1.08696632 % , sigma = 2.11287494 variable 9: corr = 6.36199149 % , sigma = 12.3666135 variable 10: corr = 4.90633366 % , sigma = 9.53706589 variable 11: corr = 1.75233943 % , sigma = 3.40624542 variable 12: corr = 5.36304442 % , sigma = 10.4248328 variable 13: corr = 8.5513861 % , sigma = 16.6224187 variable 14: corr = 6.66978992 % , sigma = 12.9649205 Keep only 11 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 12 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 16.2342911 sigma out 15 active outputs RANK 2 NODE 1 --> 13.6814928 sigma out 15 active outputs RANK 3 NODE 4 --> 13.487443 sigma out 15 active outputs RANK 4 NODE 10 --> 12.0169821 sigma out 15 active outputs RANK 5 NODE 7 --> 10.0827875 sigma out 15 active outputs RANK 6 NODE 5 --> 9.81547451 sigma out 15 active outputs RANK 7 NODE 8 --> 8.348773 sigma out 15 active outputs RANK 8 NODE 2 --> 8.31728649 sigma out 15 active outputs RANK 9 NODE 12 --> 7.39122963 sigma out 15 active outputs RANK 10 NODE 11 --> 7.30407381 sigma out 15 active outputs RANK 11 NODE 9 --> 6.39847183 sigma out 15 active outputs RANK 12 NODE 6 --> 3.97984624 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 17.4894333 sigma in 12act. ( 17.3382416 sig out 1act.) RANK 2 NODE 4 --> 16.7612686 sigma in 12act. ( 19.1521587 sig out 1act.) RANK 3 NODE 7 --> 13.4856901 sigma in 12act. ( 14.2098007 sig out 1act.) RANK 4 NODE 5 --> 10.6775246 sigma in 12act. ( 9.24177933 sig out 1act.) RANK 5 NODE 1 --> 9.08013725 sigma in 12act. ( 8.17024899 sig out 1act.) RANK 6 NODE 15 --> 8.81687641 sigma in 12act. ( 4.95452404 sig out 1act.) RANK 7 NODE 11 --> 7.21969604 sigma in 12act. ( 7.76838875 sig out 1act.) RANK 8 NODE 2 --> 7.09376192 sigma in 12act. ( 5.88789129 sig out 1act.) RANK 9 NODE 12 --> 5.65975571 sigma in 12act. ( 7.43873405 sig out 1act.) RANK 10 NODE 8 --> 4.94172955 sigma in 12act. ( 3.70142293 sig out 1act.) RANK 11 NODE 13 --> 4.85043001 sigma in 12act. ( 4.41547918 sig out 1act.) RANK 12 NODE 3 --> 4.67534399 sigma in 12act. ( 2.27350378 sig out 1act.) RANK 13 NODE 10 --> 4.13767815 sigma in 12act. ( 5.17870522 sig out 1act.) RANK 14 NODE 9 --> 2.9058435 sigma in 12act. ( 5.4245801 sig out 1act.) RANK 15 NODE 14 --> 2.44343686 sigma in 12act. ( 1.38384223 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 19.1521587 sigma out 1act.( 16.7612686 sig in 12act.) RANK 2 NODE 6 --> 17.3382416 sigma out 1act.( 17.4894333 sig in 12act.) RANK 3 NODE 7 --> 14.2098007 sigma out 1act.( 13.4856901 sig in 12act.) RANK 4 NODE 5 --> 9.24177933 sigma out 1act.( 10.6775246 sig in 12act.) RANK 5 NODE 1 --> 8.17024899 sigma out 1act.( 9.08013725 sig in 12act.) RANK 6 NODE 11 --> 7.76838875 sigma out 1act.( 7.21969604 sig in 12act.) RANK 7 NODE 12 --> 7.43873405 sigma out 1act.( 5.65975571 sig in 12act.) RANK 8 NODE 2 --> 5.88789129 sigma out 1act.( 7.09376192 sig in 12act.) RANK 9 NODE 9 --> 5.4245801 sigma out 1act.( 2.9058435 sig in 12act.) RANK 10 NODE 10 --> 5.17870522 sigma out 1act.( 4.13767815 sig in 12act.) RANK 11 NODE 15 --> 4.95452404 sigma out 1act.( 8.81687641 sig in 12act.) RANK 12 NODE 13 --> 4.41547918 sigma out 1act.( 4.85043001 sig in 12act.) RANK 13 NODE 8 --> 3.70142293 sigma out 1act.( 4.94172955 sig in 12act.) RANK 14 NODE 3 --> 2.27350378 sigma out 1act.( 4.67534399 sig in 12act.) RANK 15 NODE 14 --> 1.38384223 sigma out 1act.( 2.44343686 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 35.9572639 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 3 --> 18.4900951 sigma out 15 active outputs RANK 2 NODE 12 --> 14.8061762 sigma out 15 active outputs RANK 3 NODE 10 --> 14.6512012 sigma out 15 active outputs RANK 4 NODE 4 --> 14.079423 sigma out 15 active outputs RANK 5 NODE 1 --> 13.8326664 sigma out 15 active outputs RANK 6 NODE 5 --> 12.9348555 sigma out 15 active outputs RANK 7 NODE 7 --> 12.3415794 sigma out 15 active outputs RANK 8 NODE 8 --> 11.0837841 sigma out 15 active outputs RANK 9 NODE 2 --> 9.20163155 sigma out 15 active outputs RANK 10 NODE 9 --> 8.82247829 sigma out 15 active outputs RANK 11 NODE 11 --> 8.45853329 sigma out 15 active outputs RANK 12 NODE 6 --> 6.44278288 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 18.9064674 sigma in 12act. ( 18.5037231 sig out 1act.) RANK 2 NODE 6 --> 17.0367489 sigma in 12act. ( 16.5342999 sig out 1act.) RANK 3 NODE 7 --> 14.569665 sigma in 12act. ( 14.2263174 sig out 1act.) RANK 4 NODE 9 --> 12.7677383 sigma in 12act. ( 7.89823675 sig out 1act.) RANK 5 NODE 5 --> 10.5854645 sigma in 12act. ( 8.49632835 sig out 1act.) RANK 6 NODE 12 --> 10.5467882 sigma in 12act. ( 8.7582798 sig out 1act.) RANK 7 NODE 10 --> 9.8035984 sigma in 12act. ( 5.88376951 sig out 1act.) RANK 8 NODE 11 --> 9.47688293 sigma in 12act. ( 8.20851135 sig out 1act.) RANK 9 NODE 8 --> 9.15791416 sigma in 12act. ( 3.38484049 sig out 1act.) RANK 10 NODE 2 --> 8.895895 sigma in 12act. ( 5.33116341 sig out 1act.) RANK 11 NODE 1 --> 8.77659416 sigma in 12act. ( 7.47972918 sig out 1act.) RANK 12 NODE 15 --> 7.88286638 sigma in 12act. ( 4.00418282 sig out 1act.) RANK 13 NODE 14 --> 7.58770227 sigma in 12act. ( 2.5070951 sig out 1act.) RANK 14 NODE 13 --> 7.19741583 sigma in 12act. ( 4.21600103 sig out 1act.) RANK 15 NODE 3 --> 6.29459333 sigma in 12act. ( 1.53057921 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 18.5037231 sigma out 1act.( 18.9064674 sig in 12act.) RANK 2 NODE 6 --> 16.5342999 sigma out 1act.( 17.0367489 sig in 12act.) RANK 3 NODE 7 --> 14.2263174 sigma out 1act.( 14.569665 sig in 12act.) RANK 4 NODE 12 --> 8.7582798 sigma out 1act.( 10.5467882 sig in 12act.) RANK 5 NODE 5 --> 8.49632835 sigma out 1act.( 10.5854645 sig in 12act.) RANK 6 NODE 11 --> 8.20851135 sigma out 1act.( 9.47688293 sig in 12act.) RANK 7 NODE 9 --> 7.89823675 sigma out 1act.( 12.7677383 sig in 12act.) RANK 8 NODE 1 --> 7.47972918 sigma out 1act.( 8.77659416 sig in 12act.) RANK 9 NODE 10 --> 5.88376951 sigma out 1act.( 9.8035984 sig in 12act.) RANK 10 NODE 2 --> 5.33116341 sigma out 1act.( 8.895895 sig in 12act.) RANK 11 NODE 13 --> 4.21600103 sigma out 1act.( 7.19741583 sig in 12act.) RANK 12 NODE 15 --> 4.00418282 sigma out 1act.( 7.88286638 sig in 12act.) RANK 13 NODE 8 --> 3.38484049 sigma out 1act.( 9.15791416 sig in 12act.) RANK 14 NODE 14 --> 2.5070951 sigma out 1act.( 7.58770227 sig in 12act.) RANK 15 NODE 3 --> 1.53057921 sigma out 1act.( 6.29459333 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 35.6327896 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.413902342 *** contribution from regularisation: 0.0044150413 *** contribution from error: -0.418317378 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.452678323 *** contribution from regularisation: 0.00211441494 *** contribution from error: -0.454792738 *********************************************** -----------------> Test sample ENTER BFGS code START -42213.8824 0.112676032 -0.0356343314 EXIT FROM BFGS code FG_START 0. 0.112676032 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.476435304 *** contribution from regularisation: 0.00211475487 *** contribution from error: -0.478550047 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -44419.492 0.112676032 66.8773575 EXIT FROM BFGS code FG_LNSRCH 0. 0.124584615 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.516738653 *** contribution from regularisation: 0.003297908 *** contribution from error: -0.520036578 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48177.0941 0.124584615 -25.4651451 EXIT FROM BFGS code NEW_X -48177.0941 0.124584615 -25.4651451 ENTER BFGS code NEW_X -48177.0941 0.124584615 -25.4651451 EXIT FROM BFGS code FG_LNSRCH 0. 0.119431816 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.519835711 *** contribution from regularisation: 0.00346067827 *** contribution from error: -0.523296416 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48465.8444 0.119431816 -11.4096041 EXIT FROM BFGS code NEW_X -48465.8444 0.119431816 -11.4096041 ENTER BFGS code NEW_X -48465.8444 0.119431816 -11.4096041 EXIT FROM BFGS code FG_LNSRCH 0. 0.115499295 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.521190405 *** contribution from regularisation: 0.00320653967 *** contribution from error: -0.524396956 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48592.1444 0.115499295 -13.7980356 EXIT FROM BFGS code NEW_X -48592.1444 0.115499295 -13.7980356 ENTER BFGS code NEW_X -48592.1444 0.115499295 -13.7980356 EXIT FROM BFGS code FG_LNSRCH 0. 0.103550121 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.522177279 *** contribution from regularisation: 0.00303091109 *** contribution from error: -0.525208175 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48684.1516 0.103550121 -11.4132805 EXIT FROM BFGS code NEW_X -48684.1516 0.103550121 -11.4132805 ENTER BFGS code NEW_X -48684.1516 0.103550121 -11.4132805 EXIT FROM BFGS code FG_LNSRCH 0. 0.0833669305 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.523237884 *** contribution from regularisation: 0.00312605291 *** contribution from error: -0.526363909 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48783.0401 0.0833669305 -13.8574963 EXIT FROM BFGS code NEW_X -48783.0401 0.0833669305 -13.8574963 ENTER BFGS code NEW_X -48783.0401 0.0833669305 -13.8574963 EXIT FROM BFGS code FG_LNSRCH 0. -0.0301241409 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.525034249 *** contribution from regularisation: 0.00388292759 *** contribution from error: -0.528917193 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -48950.5156 -0.0301241409 -1.6757648 EXIT FROM BFGS code NEW_X -48950.5156 -0.0301241409 -1.6757648 ENTER BFGS code NEW_X -48950.5156 -0.0301241409 -1.6757648 EXIT FROM BFGS code FG_LNSRCH 0. -0.027040245 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 52.0409279 sigma out 15 active outputs RANK 2 NODE 1 --> 33.8833923 sigma out 15 active outputs RANK 3 NODE 6 --> 24.3698254 sigma out 15 active outputs RANK 4 NODE 11 --> 22.9631958 sigma out 15 active outputs RANK 5 NODE 10 --> 21.5856934 sigma out 15 active outputs RANK 6 NODE 8 --> 17.7200127 sigma out 15 active outputs RANK 7 NODE 5 --> 16.8355961 sigma out 15 active outputs RANK 8 NODE 3 --> 15.4721823 sigma out 15 active outputs RANK 9 NODE 7 --> 15.2945967 sigma out 15 active outputs RANK 10 NODE 9 --> 10.3522377 sigma out 15 active outputs RANK 11 NODE 4 --> 9.07211781 sigma out 15 active outputs RANK 12 NODE 2 --> 5.38872433 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 64.6427078 sigma in 12act. ( 67.1325836 sig out 1act.) RANK 2 NODE 14 --> 27.5196648 sigma in 12act. ( 25.3150406 sig out 1act.) RANK 3 NODE 10 --> 22.9817333 sigma in 12act. ( 23.439106 sig out 1act.) RANK 4 NODE 11 --> 18.0000248 sigma in 12act. ( 17.7456532 sig out 1act.) RANK 5 NODE 12 --> 15.6620884 sigma in 12act. ( 13.80198 sig out 1act.) RANK 6 NODE 7 --> 13.2895422 sigma in 12act. ( 10.0659132 sig out 1act.) RANK 7 NODE 4 --> 11.8538065 sigma in 12act. ( 10.8717022 sig out 1act.) RANK 8 NODE 15 --> 10.2507515 sigma in 12act. ( 10.2079544 sig out 1act.) RANK 9 NODE 5 --> 9.76285362 sigma in 12act. ( 9.30099773 sig out 1act.) RANK 10 NODE 6 --> 7.69305754 sigma in 12act. ( 6.49291658 sig out 1act.) RANK 11 NODE 8 --> 6.55317688 sigma in 12act. ( 5.65399075 sig out 1act.) RANK 12 NODE 1 --> 5.38189411 sigma in 12act. ( 4.73057795 sig out 1act.) RANK 13 NODE 3 --> 4.7547307 sigma in 12act. ( 3.94936442 sig out 1act.) RANK 14 NODE 13 --> 4.20354128 sigma in 12act. ( 0.816390634 sig out 1act.) RANK 15 NODE 2 --> 3.22220182 sigma in 12act. ( 0.699878156 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 67.1325836 sigma out 1act.( 64.6427078 sig in 12act.) RANK 2 NODE 14 --> 25.3150406 sigma out 1act.( 27.5196648 sig in 12act.) RANK 3 NODE 10 --> 23.439106 sigma out 1act.( 22.9817333 sig in 12act.) RANK 4 NODE 11 --> 17.7456532 sigma out 1act.( 18.0000248 sig in 12act.) RANK 5 NODE 12 --> 13.80198 sigma out 1act.( 15.6620884 sig in 12act.) RANK 6 NODE 4 --> 10.8717022 sigma out 1act.( 11.8538065 sig in 12act.) RANK 7 NODE 15 --> 10.2079544 sigma out 1act.( 10.2507515 sig in 12act.) RANK 8 NODE 7 --> 10.0659132 sigma out 1act.( 13.2895422 sig in 12act.) RANK 9 NODE 5 --> 9.30099773 sigma out 1act.( 9.76285362 sig in 12act.) RANK 10 NODE 6 --> 6.49291658 sigma out 1act.( 7.69305754 sig in 12act.) RANK 11 NODE 8 --> 5.65399075 sigma out 1act.( 6.55317688 sig in 12act.) RANK 12 NODE 1 --> 4.73057795 sigma out 1act.( 5.38189411 sig in 12act.) RANK 13 NODE 3 --> 3.94936442 sigma out 1act.( 4.7547307 sig in 12act.) RANK 14 NODE 13 --> 0.816390634 sigma out 1act.( 4.20354128 sig in 12act.) RANK 15 NODE 2 --> 0.699878156 sigma out 1act.( 3.22220182 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 82.011673 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.526793718 *** contribution from regularisation: 0.00289598317 *** contribution from error: -0.529689729 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -49114.557 -0.027040245 7.61466646 EXIT FROM BFGS code NEW_X -49114.557 -0.027040245 7.61466646 ENTER BFGS code NEW_X -49114.557 -0.027040245 7.61466646 EXIT FROM BFGS code FG_LNSRCH 0. -0.010488499 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.527826846 *** contribution from regularisation: 0.00292366208 *** contribution from error: -0.530750513 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49210.8805 -0.010488499 0.19341208 EXIT FROM BFGS code NEW_X -49210.8805 -0.010488499 0.19341208 ENTER BFGS code NEW_X -49210.8805 -0.010488499 0.19341208 EXIT FROM BFGS code FG_LNSRCH 0. -0.0132698994 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.528193593 *** contribution from regularisation: 0.00307878898 *** contribution from error: -0.531272411 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49245.0707 -0.0132698994 0.37906912 EXIT FROM BFGS code NEW_X -49245.0707 -0.0132698994 0.37906912 ENTER BFGS code NEW_X -49245.0707 -0.0132698994 0.37906912 EXIT FROM BFGS code FG_LNSRCH 0. -0.025165841 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.529575586 *** contribution from regularisation: 0.00309051294 *** contribution from error: -0.532666087 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49373.9193 -0.025165841 0.719898582 EXIT FROM BFGS code NEW_X -49373.9193 -0.025165841 0.719898582 ENTER BFGS code NEW_X -49373.9193 -0.025165841 0.719898582 EXIT FROM BFGS code FG_LNSRCH 0. -0.0409452468 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.531054676 *** contribution from regularisation: 0.00329035381 *** contribution from error: -0.534345031 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49511.8186 -0.0409452468 0.712615192 EXIT FROM BFGS code NEW_X -49511.8186 -0.0409452468 0.712615192 ENTER BFGS code NEW_X -49511.8186 -0.0409452468 0.712615192 EXIT FROM BFGS code FG_LNSRCH 0. -0.0584480911 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.531662941 *** contribution from regularisation: 0.00368969305 *** contribution from error: -0.535352647 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49568.5305 -0.0584480911 1.46677244 EXIT FROM BFGS code NEW_X -49568.5305 -0.0584480911 1.46677244 ENTER BFGS code NEW_X -49568.5305 -0.0584480911 1.46677244 EXIT FROM BFGS code FG_LNSRCH 0. -0.0510273725 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.532993734 *** contribution from regularisation: 0.0030719873 *** contribution from error: -0.536065698 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49692.6051 -0.0510273725 0.953679323 EXIT FROM BFGS code NEW_X -49692.6051 -0.0510273725 0.953679323 ENTER BFGS code NEW_X -49692.6051 -0.0510273725 0.953679323 EXIT FROM BFGS code FG_LNSRCH 0. -0.0475660637 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.532912076 *** contribution from regularisation: 0.00320982654 *** contribution from error: -0.536121905 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49684.9902 -0.0475660637 1.07557666 EXIT FROM BFGS code FG_LNSRCH 0. -0.050459072 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.532732725 *** contribution from regularisation: 0.00335338083 *** contribution from error: -0.536086082 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49668.2698 -0.050459072 0.970539093 EXIT FROM BFGS code FG_LNSRCH 0. -0.0510162897 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.532806098 *** contribution from regularisation: 0.00326027628 *** contribution from error: -0.536066353 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49675.1082 -0.0510162897 0.961415529 EXIT FROM BFGS code FG_LNSRCH 0. -0.051027365 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 68.9499512 sigma out 15 active outputs RANK 2 NODE 11 --> 41.9825058 sigma out 15 active outputs RANK 3 NODE 1 --> 27.8855247 sigma out 15 active outputs RANK 4 NODE 3 --> 23.5374527 sigma out 15 active outputs RANK 5 NODE 7 --> 23.4209156 sigma out 15 active outputs RANK 6 NODE 8 --> 19.8456039 sigma out 15 active outputs RANK 7 NODE 10 --> 18.9481239 sigma out 15 active outputs RANK 8 NODE 6 --> 16.3676262 sigma out 15 active outputs RANK 9 NODE 9 --> 12.0752392 sigma out 15 active outputs RANK 10 NODE 4 --> 11.228467 sigma out 15 active outputs RANK 11 NODE 2 --> 10.6495762 sigma out 15 active outputs RANK 12 NODE 5 --> 9.44136906 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 84.5942001 sigma in 12act. ( 94.6537323 sig out 1act.) RANK 2 NODE 14 --> 28.634491 sigma in 12act. ( 26.5882721 sig out 1act.) RANK 3 NODE 10 --> 22.4623394 sigma in 12act. ( 25.3848534 sig out 1act.) RANK 4 NODE 7 --> 20.2419662 sigma in 12act. ( 17.1101837 sig out 1act.) RANK 5 NODE 11 --> 15.6807117 sigma in 12act. ( 15.6626587 sig out 1act.) RANK 6 NODE 15 --> 12.258111 sigma in 12act. ( 12.697257 sig out 1act.) RANK 7 NODE 12 --> 11.4898901 sigma in 12act. ( 9.82212639 sig out 1act.) RANK 8 NODE 5 --> 10.4592752 sigma in 12act. ( 9.78905869 sig out 1act.) RANK 9 NODE 4 --> 10.1020527 sigma in 12act. ( 8.72165775 sig out 1act.) RANK 10 NODE 8 --> 10.0035753 sigma in 12act. ( 10.7374096 sig out 1act.) RANK 11 NODE 3 --> 8.16618633 sigma in 12act. ( 7.96311712 sig out 1act.) RANK 12 NODE 6 --> 7.39014101 sigma in 12act. ( 6.7454896 sig out 1act.) RANK 13 NODE 1 --> 4.31148481 sigma in 12act. ( 3.61485243 sig out 1act.) RANK 14 NODE 13 --> 4.0855608 sigma in 12act. ( 2.08974099 sig out 1act.) RANK 15 NODE 2 --> 2.30869913 sigma in 12act. ( 0.168360502 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 94.6537323 sigma out 1act.( 84.5942001 sig in 12act.) RANK 2 NODE 14 --> 26.5882721 sigma out 1act.( 28.634491 sig in 12act.) RANK 3 NODE 10 --> 25.3848534 sigma out 1act.( 22.4623394 sig in 12act.) RANK 4 NODE 7 --> 17.1101837 sigma out 1act.( 20.2419662 sig in 12act.) RANK 5 NODE 11 --> 15.6626587 sigma out 1act.( 15.6807117 sig in 12act.) RANK 6 NODE 15 --> 12.697257 sigma out 1act.( 12.258111 sig in 12act.) RANK 7 NODE 8 --> 10.7374096 sigma out 1act.( 10.0035753 sig in 12act.) RANK 8 NODE 12 --> 9.82212639 sigma out 1act.( 11.4898901 sig in 12act.) RANK 9 NODE 5 --> 9.78905869 sigma out 1act.( 10.4592752 sig in 12act.) RANK 10 NODE 4 --> 8.72165775 sigma out 1act.( 10.1020527 sig in 12act.) RANK 11 NODE 3 --> 7.96311712 sigma out 1act.( 8.16618633 sig in 12act.) RANK 12 NODE 6 --> 6.7454896 sigma out 1act.( 7.39014101 sig in 12act.) RANK 13 NODE 1 --> 3.61485243 sigma out 1act.( 4.31148481 sig in 12act.) RANK 14 NODE 13 --> 2.08974099 sigma out 1act.( 4.0855608 sig in 12act.) RANK 15 NODE 2 --> 0.168360502 sigma out 1act.( 2.30869913 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 107.331215 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.532777965 *** contribution from regularisation: 0.00328776962 *** contribution from error: -0.536065757 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -49672.4872 -0.051027365 0.967097521 EXIT FROM BFGS code FG_LNSRCH 0. -0.0510273725 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.532786787 *** contribution from regularisation: 0.00327893603 *** contribution from error: -0.536065698 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49673.3106 -0.0510273725 0.967427552 EXIT FROM BFGS code FG_LNSRCH 0. -0.0510273725 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.532788098 *** contribution from regularisation: 0.00327764731 *** contribution from error: -0.536065757 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49673.4308 -0.0510273725 0.964516938 EXIT FROM BFGS code FG_LNSRCH 0. -0.0510273725 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.532777667 *** contribution from regularisation: 0.00328806485 *** contribution from error: -0.536065757 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -49672.4595 -0.0510273725 0.962961018 EXIT FROM BFGS code NEW_X -49672.4595 -0.0510273725 0.962961018 ENTER BFGS code NEW_X -49672.4595 -0.0510273725 0.962961018 EXIT FROM BFGS code CONVERGENC -49672.4595 -0.0510273725 0.962961018 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 12 --> 106.339478 sigma out 15 active outputs RANK 2 NODE 11 --> 66.1767502 sigma out 15 active outputs RANK 3 NODE 1 --> 42.9587288 sigma out 15 active outputs RANK 4 NODE 3 --> 36.3424301 sigma out 15 active outputs RANK 5 NODE 7 --> 35.6282387 sigma out 15 active outputs RANK 6 NODE 8 --> 30.0138016 sigma out 15 active outputs RANK 7 NODE 10 --> 28.499157 sigma out 15 active outputs RANK 8 NODE 6 --> 24.8973103 sigma out 15 active outputs RANK 9 NODE 9 --> 18.259531 sigma out 15 active outputs RANK 10 NODE 4 --> 16.6964931 sigma out 15 active outputs RANK 11 NODE 2 --> 16.5415974 sigma out 15 active outputs RANK 12 NODE 5 --> 14.5323515 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 9 --> 131.554825 sigma in 12act. ( 148.51149 sig out 1act.) RANK 2 NODE 14 --> 43.9384918 sigma in 12act. ( 41.0067673 sig out 1act.) RANK 3 NODE 10 --> 34.5032997 sigma in 12act. ( 39.7590981 sig out 1act.) RANK 4 NODE 7 --> 30.1495647 sigma in 12act. ( 27.0127983 sig out 1act.) RANK 5 NODE 11 --> 23.961544 sigma in 12act. ( 23.9633465 sig out 1act.) RANK 6 NODE 15 --> 18.6884212 sigma in 12act. ( 19.4578495 sig out 1act.) RANK 7 NODE 12 --> 16.5779228 sigma in 12act. ( 14.9828911 sig out 1act.) RANK 8 NODE 5 --> 15.4790125 sigma in 12act. ( 15.1618719 sig out 1act.) RANK 9 NODE 8 --> 15.1591892 sigma in 12act. ( 16.7158813 sig out 1act.) RANK 10 NODE 4 --> 14.8355398 sigma in 12act. ( 13.7500553 sig out 1act.) RANK 11 NODE 3 --> 12.2869864 sigma in 12act. ( 12.4386482 sig out 1act.) RANK 12 NODE 6 --> 10.6964283 sigma in 12act. ( 10.3833265 sig out 1act.) RANK 13 NODE 1 --> 5.8760438 sigma in 12act. ( 5.50786161 sig out 1act.) RANK 14 NODE 13 --> 4.81604099 sigma in 12act. ( 3.16034985 sig out 1act.) RANK 15 NODE 2 --> 2.31641698 sigma in 12act. ( 0.261070877 sig out 1act.) sorted by output significance RANK 1 NODE 9 --> 148.51149 sigma out 1act.( 131.554825 sig in 12act.) RANK 2 NODE 14 --> 41.0067673 sigma out 1act.( 43.9384918 sig in 12act.) RANK 3 NODE 10 --> 39.7590981 sigma out 1act.( 34.5032997 sig in 12act.) RANK 4 NODE 7 --> 27.0127983 sigma out 1act.( 30.1495647 sig in 12act.) RANK 5 NODE 11 --> 23.9633465 sigma out 1act.( 23.961544 sig in 12act.) RANK 6 NODE 15 --> 19.4578495 sigma out 1act.( 18.6884212 sig in 12act.) RANK 7 NODE 8 --> 16.7158813 sigma out 1act.( 15.1591892 sig in 12act.) RANK 8 NODE 5 --> 15.1618719 sigma out 1act.( 15.4790125 sig in 12act.) RANK 9 NODE 12 --> 14.9828911 sigma out 1act.( 16.5779228 sig in 12act.) RANK 10 NODE 4 --> 13.7500553 sigma out 1act.( 14.8355398 sig in 12act.) RANK 11 NODE 3 --> 12.4386482 sigma out 1act.( 12.2869864 sig in 12act.) RANK 12 NODE 6 --> 10.3833265 sigma out 1act.( 10.6964283 sig in 12act.) RANK 13 NODE 1 --> 5.50786161 sigma out 1act.( 5.8760438 sig in 12act.) RANK 14 NODE 13 --> 3.16034985 sigma out 1act.( 4.81604099 sig in 12act.) RANK 15 NODE 2 --> 0.261070877 sigma out 1act.( 2.31641698 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 168.006912 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.532779336 *** contribution from regularisation: 0.00328635913 *** contribution from error: -0.536065698 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 28167 Closing output file done