NNInput NNInputs_145.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= 80437 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 = 21747 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 21747 Chosen entries: 21747 Signal fraction: 1 Background fraction: 0.37054 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 21747 Entries to split: 21747 Test with : 10873 Train with : 10873 ********************************************* * 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= 21747 for Signal Prepared event 0 for Signal with 21747 events ====Entry 0 Variable Ht : 172.917 Variable LepAPt : 28.3138 Variable LepBPt : 20.098 Variable MetSigLeptonsJets : 7.843 Variable MetSpec : 76.8658 Variable SumEtLeptonsJets : 96.051 Variable VSumJetLeptonsPt : 77.1984 Variable addEt : 125.278 Variable dPhiLepSumMet : 2.50109 Variable dPhiLeptons : 0.378813 Variable dRLeptons : 0.471432 Variable lep1_E : 39.4547 Variable lep2_E : 23.5705 ===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 = 2145 Ht = 172.917 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 28.314 LepAPt = 28.3138 LepBEt = 20.098 LepBPt = 20.098 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 76.8658 MetDelPhi = 2.27916 MetSig = 5.37355 MetSigLeptonsJets = 7.843 MetSpec = 76.8658 Mjj = 0 MostCentralJetEta = 1.79326 MtllMet = 134.112 Njets = 1 SB = 0 SumEt = 204.618 SumEtJets = 0 SumEtLeptonsJets = 96.051 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 77.1984 addEt = 125.278 dPhiLepSumMet = 2.50109 dPhiLeptons = 0.378813 dRLeptons = 0.471432 diltype = 49 dimass = 11.2172 event = 188 jet1_Et = 47.6392 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 39.4547 lep2_E = 23.5705 rand = 0.999742 run = 236503 weight = 3.13807e-06 ===Show End Prepared event 10000 for Signal with 21747 events Prepared event 20000 for Signal with 21747 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= 58690 for Background Prepared event 0 for Background with 58690 events ====Entry 0 Variable Ht : 65.1543 Variable LepAPt : 20.8407 Variable LepBPt : 10.82 Variable MetSigLeptonsJets : 5.95247 Variable MetSpec : 33.4933 Variable SumEtLeptonsJets : 31.6607 Variable VSumJetLeptonsPt : 31.4507 Variable addEt : 65.1543 Variable dPhiLepSumMet : 3.01433 Variable dPhiLeptons : 0.243032 Variable dRLeptons : 0.763155 Variable lep1_E : 24.0883 Variable lep2_E : 10.9808 ===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 = 65.1543 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 20.8411 LepAPt = 20.8407 LepBEt = 10.82 LepBPt = 10.82 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 33.4933 MetDelPhi = 2.93145 MetSig = 3.89076 MetSigLeptonsJets = 5.95247 MetSpec = 33.4933 Mjj = 0 MostCentralJetEta = 0 MtllMet = 67.7985 Njets = 0 SB = 0 SumEt = 74.1048 SumEtJets = 0 SumEtLeptonsJets = 31.6607 Target = 0 TrainWeight = 1.07969 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 31.4507 addEt = 65.1543 dPhiLepSumMet = 3.01433 dPhiLeptons = 0.243032 dRLeptons = 0.763155 diltype = 110 dimass = 11.6846 event = 12144548 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 24.0883 lep2_E = 10.9808 rand = 0.999742 run = 272126 weight = 0.00846748 ===Show End Prepared event 10000 for Background with 58690 events Prepared event 20000 for Background with 58690 events Prepared event 30000 for Background with 58690 events Prepared event 40000 for Background with 58690 events Prepared event 50000 for Background with 58690 events Warning: found 1952 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 80437 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 1952 negative weights. Signal fraction: 63.6372223 % ------------------------------ Transdef: Tab for variable 1 -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. ------------------------------ Transdef: Tab for variable 2 47.3116226 60.9563217 63.7461014 65.8160477 67.2690735 68.4006042 69.3203354 70.2125931 71.1499329 71.9927139 72.9057999 73.6886292 74.3117371 74.9725342 75.5206909 76.3006439 76.9443817 77.4166718 78.1477356 78.7558441 79.5522995 80.1440964 80.9475555 81.6982269 82.3357468 82.9415665 83.7740173 84.895195 85.9188385 86.682663 87.6924515 88.9445572 90.1759491 91.5632935 93.0991898 94.7568359 96.1311035 97.5289078 99.0565948 100.518349 101.820419 103.145409 104.509247 106.266182 107.595535 109.031464 110.417282 111.874092 113.142517 114.700172 116.105209 117.44574 118.934792 120.160721 121.429626 122.582397 123.915123 125.30455 126.420341 127.651451 128.770447 130.179077 131.383331 132.613617 133.858093 135.265869 136.505722 137.753922 139.114899 140.469376 141.903 143.410248 145.00238 146.671814 148.269745 150.085205 152.013458 154.123596 156.116119 158.254547 160.487396 162.778687 165.062012 167.383804 170.071899 172.684937 175.491455 178.606323 182.363373 185.736908 190.286804 194.188995 199.156891 205.718964 211.836823 219.586472 229.593643 241.743713 260.635406 296.316559 782.079102 ------------------------------ Transdef: Tab for variable 3 20.0003395 20.2258797 20.4845085 20.6944771 20.9685974 21.1515236 21.3749218 21.5739746 21.7997437 22.0017204 22.2991447 22.5159988 22.6618538 22.8336411 23.0891018 23.2515774 23.4286995 23.627861 23.7922707 23.9943256 24.1453552 24.3634644 24.5406342 24.7046604 24.9324112 25.1608276 25.3594456 25.5828686 25.7986259 25.9719582 26.1687031 26.3723106 26.5877895 26.8263588 27.0633068 27.2919846 27.5127296 27.7479095 27.9789162 28.1942482 28.4723988 28.773304 28.9932442 29.2138767 29.4710083 29.7285995 29.939455 30.2179108 30.4383869 30.6922436 30.9835472 31.2577305 31.5302963 31.7940159 32.0597572 32.3528099 32.6323662 32.9112244 33.205368 33.4609909 33.791317 34.0878372 34.4139137 34.7432404 35.0514145 35.3602867 35.6700592 36.0170898 36.332962 36.6463089 36.9819717 37.3642235 37.7001877 38.0461655 38.382843 38.779747 39.2106819 39.5277786 39.9645081 40.4443283 40.8971825 41.3358002 41.9015541 42.4500046 43.0254402 43.6141739 44.2855377 44.9656677 45.7435608 46.6282578 47.4440842 48.4429474 49.60849 50.8926315 52.4351501 54.0287399 56.2398911 58.9814606 63.6261406 70.9320831 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001202 10.0906124 10.2027121 10.3489161 10.4806623 10.6082249 10.7073975 10.8401031 10.9846077 11.0900154 11.2143774 11.3664513 11.499815 11.6004944 11.7468414 11.9074879 12.0581112 12.2072601 12.3550625 12.5202541 12.6947823 12.8504944 13.0312634 13.2314892 13.3847113 13.5487108 13.6904755 13.8775978 14.0448761 14.1924181 14.3375969 14.5371428 14.7031746 14.8955898 15.0912657 15.3046799 15.4957352 15.6932793 15.8816547 16.0833168 16.3092804 16.5372047 16.7567177 16.9628963 17.141201 17.3828716 17.5626278 17.774929 18.0421333 18.2624474 18.4933319 18.7115459 18.9217892 19.14645 19.3506889 19.5966072 19.8591118 20.0850582 20.276001 20.5026684 20.746212 20.9815483 21.2415352 21.4653244 21.739769 21.9829273 22.2307816 22.4860497 22.7148666 22.9898758 23.2709465 23.5668144 23.8601437 24.1588364 24.4913063 24.7918701 25.1301804 25.4469986 25.752512 26.0658989 26.4667397 26.8238029 27.1562309 27.4847889 27.8564949 28.2337379 28.6902771 29.1364918 29.620903 30.1049137 30.521328 31.130928 31.6838894 32.3159714 33.1278305 33.984436 35.2062263 36.8245087 39.0023689 43.3706512 69.9040909 ------------------------------ Transdef: Tab for variable 5 1.04660308 2.13978672 2.50220585 2.78571749 3.02362728 3.21371484 3.4199264 3.63215685 3.7916503 3.95471263 4.0787077 4.18209267 4.31632519 4.43142605 4.54412794 4.63090277 4.74228954 4.8169117 4.92211056 5.02394533 5.08743477 5.156497 5.21709156 5.28022861 5.34617424 5.40649462 5.45704746 5.50872803 5.54496813 5.59360838 5.6514101 5.69754028 5.74538517 5.7884078 5.83716583 5.87602615 5.9173069 5.94937897 6.00306845 6.03280878 6.07227898 6.1055088 6.14120388 6.17989969 6.21535015 6.26120663 6.29660368 6.33116436 6.37193203 6.41313601 6.45715904 6.50856781 6.5430479 6.60460138 6.63947392 6.67765713 6.71760225 6.76120853 6.79824257 6.84810352 6.88835526 6.9263649 6.97724247 7.03153372 7.08723974 7.12510204 7.18229771 7.23435545 7.28900051 7.34190559 7.39645576 7.45065308 7.50811672 7.56566143 7.62229347 7.68317938 7.73990011 7.79733801 7.8519268 7.9098649 7.96545696 8.02657509 8.09759331 8.16210556 8.226717 8.28974342 8.35956287 8.42843342 8.51698208 8.59454918 8.68775463 8.7780962 8.88699532 8.99120712 9.13732147 9.29931736 9.51809883 9.8117075 10.1808567 10.892787 18.149107 ------------------------------ Transdef: Tab for variable 6 15.0119848 16.7517776 18.5008831 20.1498451 22.0578461 23.5829506 25.013401 26.2134247 27.422123 28.2868462 29.1198349 30.0005875 30.7862301 31.4545326 32.0739746 32.5923996 33.1970749 33.7384644 34.2085876 34.558403 34.9387474 35.3180847 35.6513329 36.1561127 36.4699974 36.8807945 37.1803589 37.4997177 37.8730392 38.2265816 38.5669403 38.9560356 39.2761383 39.6191826 39.9589539 40.2685127 40.5315361 40.8431244 41.1998901 41.5509949 42.0390854 42.4515266 42.9212265 43.2882729 43.8107605 44.3058319 44.7812195 45.2799988 45.9031219 46.5417099 47.2356262 47.7989197 48.3668633 49.1657867 49.6730766 50.3355789 51.0262375 51.57901 52.1676254 52.7478828 53.4061279 54.0292435 54.6610641 55.4101143 56.0591507 56.637886 57.3555603 58.1054535 58.7610779 59.4640961 60.1129379 60.83741 61.4775543 62.0660744 62.7759056 63.4355316 64.1171112 64.7765656 65.4943085 66.1742706 66.8674698 67.5965729 68.4086456 69.383316 70.1570282 71.0412521 72.0823669 72.8803558 74.0108032 75.408844 76.7570343 78.2292023 79.9046707 81.5406265 83.9104462 86.6644897 90.5210953 95.1641235 101.236343 112.278152 236.562576 ------------------------------ Transdef: Tab for variable 7 30.1484737 32.3123856 33.3257294 33.9264679 34.5206451 35.0232697 35.5043144 35.9126625 36.3376198 36.6152267 37.0185394 37.3788376 37.6826782 37.9598999 38.3042145 38.6304245 38.9868317 39.2655411 39.5261154 39.8300323 40.191246 40.5286903 40.9446564 41.3655701 41.6670074 42.1461716 42.5567932 43.1988792 43.8111763 44.468174 44.9945793 45.7920494 46.5951424 47.3194351 48.1010666 49.0177155 49.8524666 50.7818756 51.5809708 52.5153694 53.3577766 54.1135368 55.0483513 55.8835297 56.4695168 57.2642708 58.0262909 58.845871 59.598259 60.3138733 61.078949 61.8453674 62.5510063 63.3625526 64.2547455 65.0756378 65.8918152 66.7029724 67.5006104 68.2428131 69.1336975 69.990036 70.8573914 71.9481735 73.0818634 74.1941986 75.2859268 76.5673447 77.9462814 79.3920441 80.9710236 82.4367294 84.0489273 85.8035049 87.2031479 88.7686844 90.2310028 91.8389893 93.5185699 95.2503967 96.9808197 99.1112976 101.23838 103.171532 105.327522 107.945923 110.377838 113.429031 116.141541 119.297913 123.002167 126.758789 130.705139 135.973969 142.181274 148.509918 157.919159 168.329681 183.25885 210.380035 458.64209 ------------------------------ Transdef: Tab for variable 8 3.10723281 19.3721313 24.6734352 27.9760475 30.0972519 31.1643543 31.9147034 32.5959549 33.1694031 33.5469894 33.9298553 34.4336739 34.8121109 35.0886688 35.4419212 35.7576752 36.0251198 36.3216019 36.6489105 36.9430351 37.2409668 37.4763374 37.828167 38.0637093 38.3880844 38.6703033 38.9046211 39.1480179 39.4086914 39.6775436 40.0289078 40.2596626 40.4536133 40.7540016 41.2655182 41.6107483 41.9880409 42.2702179 42.6956024 43.1283264 43.6628456 44.1261787 44.5362625 45.034935 45.6546478 46.1916656 46.7240829 47.2046127 47.7967529 48.3801727 49.0047569 49.4640732 49.9949417 50.5140915 51.1652184 51.7006531 52.3120117 52.8945656 53.4421234 54.0173607 54.6011353 55.2012329 55.7103882 56.1520195 56.6480255 57.2401428 57.8928223 58.567627 59.1138191 59.7066574 60.3549957 60.9168701 61.5398903 62.1261673 62.821022 63.4805756 64.1640244 64.8445282 65.5320663 66.2219391 66.8148041 67.5046082 68.2441711 68.9123383 69.6601791 70.6092529 71.624649 72.5960083 73.7763214 74.9691772 76.3599396 77.8768768 79.875 82.1257629 84.7638702 87.5026398 91.0831909 95.6087799 103.298393 116.042419 326.868286 ------------------------------ Transdef: Tab for variable 9 47.3116226 59.1613274 62.6130638 64.5158234 66.0034256 67.1324615 68.1487122 69.1350327 69.8434753 70.6638641 71.4526978 72.2204895 73.0076752 73.7175446 74.2057953 74.7049942 75.3815308 75.9274292 76.6116486 77.0680847 77.5641022 78.1954498 78.7224655 79.3286743 79.7848206 80.4407959 81.088623 81.667984 82.2342377 82.6290359 83.3158112 83.8439941 84.7671051 85.5114288 86.3017502 87.1262741 88.0284195 88.9330444 89.9272156 91.0195618 92.2260208 93.1958084 94.5391083 95.5811005 96.64888 97.9023743 99.04319 100.239395 101.342545 102.355988 103.283928 104.443962 105.512466 106.762421 107.880157 108.854874 109.823593 110.87825 111.922112 112.889435 113.762497 114.98909 115.998566 116.94252 117.920448 118.938507 119.863815 120.718941 121.699821 122.630264 123.42041 124.475235 125.442451 126.539825 127.37941 128.30722 129.181412 130.179077 131.1828 132.074432 132.969482 133.96701 135.110962 135.997177 136.947144 138.063919 139.077148 140.240479 141.432907 142.756317 144.00528 145.510437 146.946777 148.926636 151.028458 153.500916 156.825058 161.865173 170.848938 185.685608 424.390259 ------------------------------ Transdef: Tab for variable 10 0.00143814425 0.891709626 1.19509053 1.43066466 1.60510981 1.74129796 1.85173702 1.94345808 2.02157044 2.0955472 2.15641308 2.21023464 2.26271105 2.30588651 2.34030104 2.37668705 2.41338634 2.44859028 2.47941303 2.51689005 2.5451808 2.57067776 2.59530854 2.61771846 2.63885903 2.66092968 2.6832056 2.70307636 2.72215271 2.73999357 2.75853658 2.77404404 2.78814578 2.80337715 2.81512666 2.8268137 2.8377707 2.85288239 2.86390781 2.8749299 2.88614416 2.89529514 2.90415525 2.91319156 2.92074656 2.92867756 2.9363277 2.94409513 2.95178127 2.9580822 2.96451235 2.96998858 2.97573709 2.98224711 2.98723507 2.99246883 2.99802971 3.00303173 3.00738072 3.01292896 3.01711988 3.02152205 3.02615714 3.02958345 3.03337455 3.03659868 3.04124641 3.04531837 3.04936934 3.05344415 3.05699778 3.06018543 3.06375885 3.06810141 3.07162189 3.07463884 3.07775164 3.0806241 3.08311319 3.0865972 3.08964634 3.09251785 3.09509897 3.09808302 3.10064268 3.10307217 3.10593843 3.10872841 3.11168814 3.11420441 3.11677647 3.11918497 3.12148213 3.1241107 3.12691975 3.12916756 3.13142252 3.13358355 3.13642931 3.13886499 3.1415906 ------------------------------ Transdef: Tab for variable 11 1.41859055E-05 0.00492942892 0.0103563536 0.0142831802 0.0194929838 0.0253389478 0.0324877501 0.0394960642 0.045126915 0.052458331 0.0589553118 0.0649345219 0.0715252161 0.0791784525 0.0858374089 0.0932343006 0.0986052006 0.104617327 0.111046255 0.118469834 0.125555813 0.131449819 0.138022661 0.144304752 0.151263237 0.158530712 0.165094376 0.171688825 0.177266836 0.182549238 0.186744213 0.192100674 0.197042823 0.201431721 0.206182614 0.211052418 0.215049133 0.219821751 0.223565936 0.227527857 0.231107965 0.235401392 0.240006089 0.245559335 0.251084328 0.255059361 0.260021865 0.265014052 0.270047367 0.274799943 0.278910756 0.284813404 0.289996386 0.295044959 0.300118864 0.306009233 0.310429335 0.315834165 0.322274238 0.327834666 0.334280908 0.339165807 0.344900846 0.350684106 0.355908483 0.362402916 0.368456841 0.37513113 0.382717848 0.389345884 0.395776898 0.400731564 0.408185124 0.415450335 0.421674728 0.427102923 0.435224116 0.442390323 0.449506938 0.456851006 0.46502167 0.472183406 0.482368231 0.493375838 0.50410527 0.511841118 0.519605637 0.529388905 0.539600909 0.552528501 0.565806925 0.577904165 0.594034672 0.610681713 0.633308411 0.654137135 0.679142952 0.710124254 0.756129444 0.822788119 1.12033129 ------------------------------ Transdef: Tab for variable 12 0.200034663 0.208171785 0.21496743 0.221572667 0.22732386 0.234094903 0.238959283 0.244949251 0.250696599 0.256222665 0.262242734 0.266947448 0.271984994 0.277638793 0.283388615 0.289246917 0.295223862 0.30091691 0.305910856 0.310907423 0.315391868 0.320626825 0.326026767 0.332151651 0.338145882 0.342921376 0.347587824 0.352382004 0.35785079 0.362587273 0.367360234 0.372173071 0.376370847 0.381061018 0.38684237 0.391538501 0.39658168 0.400431693 0.404704154 0.408955276 0.412944674 0.417325497 0.42117703 0.425341487 0.430196702 0.434265077 0.437826127 0.441468 0.445484102 0.449235976 0.453963727 0.457789242 0.461787075 0.465868711 0.469800174 0.473653942 0.478188127 0.483274072 0.48760283 0.491810501 0.497152716 0.501306653 0.506913424 0.511205196 0.516226172 0.521984577 0.527867556 0.532798648 0.537733793 0.542938113 0.549340606 0.554871917 0.560055017 0.566111505 0.572551847 0.579281151 0.585156977 0.59023428 0.597455561 0.604021549 0.611434877 0.618054032 0.626186132 0.63160044 0.640664577 0.648853421 0.660409689 0.668991208 0.677953839 0.689461708 0.699749351 0.713296294 0.728809178 0.74269253 0.758848548 0.772688687 0.798552632 0.82002908 0.85274595 0.903965831 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0471687 21.2527885 21.7929173 22.3779144 22.833847 23.3316689 23.674839 24.0855217 24.5069599 24.7797337 25.2045326 25.6138191 25.9341125 26.2486916 26.6135235 26.9889946 27.3321362 27.6557198 27.9356995 28.1858177 28.5046272 28.8304596 29.1011543 29.4166908 29.6958351 29.9948883 30.2913704 30.5288696 30.7383099 31.0016289 31.3094444 31.5506554 31.8403568 32.1509781 32.4006348 32.668541 32.9837189 33.2746277 33.5428276 33.8536453 34.139225 34.4291496 34.7474899 35.0555916 35.4352188 35.7464828 36.0315552 36.3451843 36.6556931 37.0030518 37.3992653 37.756134 38.0321884 38.3303528 38.6783295 39.055687 39.3403816 39.7423019 40.0917244 40.4413071 40.8330078 41.285759 41.7145653 42.1439018 42.5096664 42.8656464 43.2199631 43.6439972 44.0919876 44.5380974 44.9544258 45.4125328 45.9404182 46.4088364 47.0062714 47.6403351 48.1496124 48.8219528 49.507103 50.2545967 50.8886414 51.7322311 52.5422058 53.2442474 54.1279602 55.1368179 56.1563263 57.0847015 58.2440262 59.519722 60.9590683 62.5339165 64.3304443 66.2607498 68.5860291 71.1375122 74.5632172 79.1802673 86.675293 96.1336823 232.066116 ------------------------------ Transdef: Tab for variable 14 10.0116768 10.7057772 11.0787983 11.342783 11.6718693 11.944952 12.2676277 12.52668 12.7962513 13.0526791 13.344409 13.627737 13.8551064 14.0621862 14.2218246 14.363863 14.602766 14.8086014 14.9965973 15.1927643 15.4330864 15.6567526 15.9247265 16.145071 16.4292412 16.6978378 16.9205437 17.1461411 17.413681 17.6771049 17.8710079 18.1117611 18.4297791 18.6451378 18.9001961 19.1274357 19.3347931 19.5941963 19.8233356 20.0670853 20.3340645 20.5945091 20.8482018 21.1407185 21.4128723 21.673008 21.9553452 22.2262077 22.4985332 22.7509804 22.9871426 23.2654457 23.5043488 23.7769508 24.035675 24.2960854 24.5524139 24.8762836 25.19697 25.5018616 25.7417641 26.0524216 26.335535 26.68013 26.9340916 27.2375622 27.561573 27.8408356 28.1600723 28.5327911 28.8953285 29.1946335 29.5470734 29.884531 30.225666 30.5692177 30.9879017 31.3217316 31.6461735 32.0739288 32.5130424 33.0044403 33.5163803 33.941124 34.4239349 34.9068604 35.4714661 36.1022797 36.8584595 37.5980453 38.4326477 39.3109169 40.1593628 41.2781181 42.6715622 44.3578415 46.1747894 48.9310799 52.884491 60.3103867 112.712608 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 62.9 47.2 47.2 18.0 38.2 61.5 46.1 58.2 -30.8 -3.8 -20.1 28.6 31.3 2 62.9 100.0 66.0 58.2 25.2 59.1 94.2 66.6 89.7 -48.5 -13.9 -34.3 46.7 41.9 3 47.2 66.0 100.0 40.9 1.4 25.9 69.7 46.9 70.0 -18.7 -17.1 -39.9 77.4 28.1 4 47.2 58.2 40.9 100.0 9.2 30.1 58.8 44.9 63.5 -13.8 -19.2 -44.8 28.8 81.2 5 18.0 25.2 1.4 9.2 100.0 83.7 -3.4 56.9 52.4 28.7 0.1 -2.7 -4.6 4.0 6 38.2 59.1 25.9 30.1 83.7 100.0 36.0 78.0 75.2 -1.6 -4.6 -15.3 14.2 19.8 7 61.5 94.2 69.7 58.8 -3.4 36.0 100.0 55.4 76.6 -57.0 -13.5 -34.5 51.2 43.1 8 46.1 66.6 46.9 44.9 56.9 78.0 55.4 100.0 79.8 -6.1 -11.7 -26.9 32.8 32.3 9 58.2 89.7 70.0 63.5 52.4 75.2 76.6 79.8 100.0 -20.4 -16.1 -39.4 50.1 46.5 10 -30.8 -48.5 -18.7 -13.8 28.7 -1.6 -57.0 -6.1 -20.4 100.0 1.1 5.8 -12.9 -9.0 11 -3.8 -13.9 -17.1 -19.2 0.1 -4.6 -13.5 -11.7 -16.1 1.1 100.0 50.9 -11.7 -17.5 12 -20.1 -34.3 -39.9 -44.8 -2.7 -15.3 -34.5 -26.9 -39.4 5.8 50.9 100.0 -24.2 -27.8 13 28.6 46.7 77.4 28.8 -4.6 14.2 51.2 32.8 50.1 -12.9 -11.7 -24.2 100.0 42.2 14 31.3 41.9 28.1 81.2 4.0 19.8 43.1 32.3 46.5 -9.0 -17.5 -27.8 42.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 150.511222 TOTAL CORRELATION OF ALL VARIABLES 68.5598638 ROUND 1: MAX CORR ( 68.533797) AFTER KILLING INPUT VARIABLE 6 CONTR 1.89039385 ROUND 2: MAX CORR ( 68.4991515) AFTER KILLING INPUT VARIABLE 14 CONTR 2.17889427 ROUND 3: MAX CORR ( 68.416016) AFTER KILLING INPUT VARIABLE 8 CONTR 3.37379723 ROUND 4: MAX CORR ( 68.3464917) AFTER KILLING INPUT VARIABLE 2 CONTR 3.08355673 ROUND 5: MAX CORR ( 68.2663421) AFTER KILLING INPUT VARIABLE 11 CONTR 3.30899716 ROUND 6: MAX CORR ( 67.8977044) AFTER KILLING INPUT VARIABLE 12 CONTR 7.0848577 ROUND 7: MAX CORR ( 67.507793) AFTER KILLING INPUT VARIABLE 10 CONTR 7.2660957 ROUND 8: MAX CORR ( 67.0744182) AFTER KILLING INPUT VARIABLE 13 CONTR 7.63704987 ROUND 9: MAX CORR ( 65.887275) AFTER KILLING INPUT VARIABLE 3 CONTR 12.5636208 ROUND 10: MAX CORR ( 65.6433916) AFTER KILLING INPUT VARIABLE 9 CONTR 5.66375752 ROUND 11: MAX CORR ( 64.7155254) AFTER KILLING INPUT VARIABLE 4 CONTR 10.9979831 ROUND 12: MAX CORR ( 61.5032838) AFTER KILLING INPUT VARIABLE 5 CONTR 20.1356728 LAST REMAINING VARIABLE: 7 total correlation to target: 68.5598638 % total significance: 89.6414396 sigma correlations of single variables to target: variable 2: 62.9005746 % , in sigma: 82.241967 variable 3: 47.1929145 % , in sigma: 61.7043348 variable 4: 47.2107751 % , in sigma: 61.7276874 variable 5: 18.0097498 % , in sigma: 23.5475949 variable 6: 38.1747426 % , in sigma: 49.9131517 variable 7: 61.5032838 % , in sigma: 80.4150211 variable 8: 46.0983596 % , in sigma: 60.2732136 variable 9: 58.213388 % , in sigma: 76.1135103 variable 10: -30.8369074 % , in sigma: 40.3189945 variable 11: -3.81523674 % , in sigma: 4.98838964 variable 12: -20.0808454 % , in sigma: 26.2555348 variable 13: 28.5763572 % , in sigma: 37.3633443 variable 14: 31.2669873 % , in sigma: 40.8813204 variables sorted by significance: 1 most relevant variable 7 corr 61.5032845 , in sigma: 80.415022 2 most relevant variable 5 corr 20.1356735 , in sigma: 26.3272221 3 most relevant variable 4 corr 10.997983 , in sigma: 14.3797693 4 most relevant variable 9 corr 5.66375732 , in sigma: 7.40531459 5 most relevant variable 3 corr 12.5636206 , in sigma: 16.4268272 6 most relevant variable 13 corr 7.63704967 , in sigma: 9.98537758 7 most relevant variable 10 corr 7.26609564 , in sigma: 9.50035833 8 most relevant variable 12 corr 7.08485746 , in sigma: 9.26339095 9 most relevant variable 11 corr 3.30899715 , in sigma: 4.32648567 10 most relevant variable 2 corr 3.08355665 , in sigma: 4.03172413 11 most relevant variable 8 corr 3.37379718 , in sigma: 4.41121115 12 most relevant variable 14 corr 2.17889428 , in sigma: 2.84888576 13 most relevant variable 6 corr 1.89039385 , in sigma: 2.47167391 global correlations between input variables: variable 2: 99.1512843 % variable 3: 93.562655 % variable 4: 92.6578468 % variable 5: 95.1519233 % variable 6: 94.0637548 % variable 7: 98.7640473 % variable 8: 88.0322046 % variable 9: 98.7195987 % variable 10: 74.0956963 % variable 11: 52.8952151 % variable 12: 67.1335033 % variable 13: 87.0675845 % variable 14: 89.4347958 % significance loss when removing single variables: variable 2: corr = 4.38780175 % , sigma = 5.73701352 variable 3: corr = 14.9767616 % , sigma = 19.5819885 variable 4: corr = 14.1146095 % , sigma = 18.454732 variable 5: corr = 14.9762159 % , sigma = 19.581275 variable 6: corr = 1.89039385 % , sigma = 2.47167391 variable 7: corr = 6.01953049 % , sigma = 7.87048498 variable 8: corr = 3.83302318 % , sigma = 5.01164525 variable 9: corr = 11.8503241 % , sigma = 15.4941981 variable 10: corr = 6.97462751 % , sigma = 9.11926622 variable 11: corr = 3.31870373 % , sigma = 4.33917693 variable 12: corr = 4.9400014 % , sigma = 6.45900987 variable 13: corr = 5.00679546 % , sigma = 6.54634253 variable 14: corr = 2.163177 % , sigma = 2.82833555 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 11 --> 16.4030075 sigma out 15 active outputs RANK 2 NODE 1 --> 14.2047634 sigma out 15 active outputs RANK 3 NODE 2 --> 14.2001209 sigma out 15 active outputs RANK 4 NODE 8 --> 13.3775654 sigma out 15 active outputs RANK 5 NODE 3 --> 12.6171646 sigma out 15 active outputs RANK 6 NODE 10 --> 11.8457212 sigma out 15 active outputs RANK 7 NODE 6 --> 11.3393822 sigma out 15 active outputs RANK 8 NODE 5 --> 10.9462509 sigma out 15 active outputs RANK 9 NODE 9 --> 10.5097895 sigma out 15 active outputs RANK 10 NODE 4 --> 9.46283245 sigma out 15 active outputs RANK 11 NODE 7 --> 7.38216972 sigma out 15 active outputs RANK 12 NODE 12 --> 6.84997129 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 19.2326279 sigma in 12act. ( 18.7638702 sig out 1act.) RANK 2 NODE 12 --> 16.7662296 sigma in 12act. ( 18.4149551 sig out 1act.) RANK 3 NODE 15 --> 13.9239864 sigma in 12act. ( 14.4991035 sig out 1act.) RANK 4 NODE 9 --> 13.301055 sigma in 12act. ( 14.1515951 sig out 1act.) RANK 5 NODE 11 --> 12.4638395 sigma in 12act. ( 13.8102112 sig out 1act.) RANK 6 NODE 5 --> 11.6803627 sigma in 12act. ( 12.3969107 sig out 1act.) RANK 7 NODE 7 --> 10.8507528 sigma in 12act. ( 9.72256756 sig out 1act.) RANK 8 NODE 6 --> 10.8335724 sigma in 12act. ( 11.9796782 sig out 1act.) RANK 9 NODE 1 --> 6.61180258 sigma in 12act. ( 5.40423393 sig out 1act.) RANK 10 NODE 2 --> 6.14683294 sigma in 12act. ( 7.52662897 sig out 1act.) RANK 11 NODE 13 --> 5.416924 sigma in 12act. ( 6.24282026 sig out 1act.) RANK 12 NODE 4 --> 4.17179394 sigma in 12act. ( 4.50761127 sig out 1act.) RANK 13 NODE 8 --> 3.41788459 sigma in 12act. ( 3.91992712 sig out 1act.) RANK 14 NODE 14 --> 2.54443502 sigma in 12act. ( 1.42444634 sig out 1act.) RANK 15 NODE 3 --> 2.38544512 sigma in 12act. ( 2.27185464 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 18.7638702 sigma out 1act.( 19.2326279 sig in 12act.) RANK 2 NODE 12 --> 18.4149551 sigma out 1act.( 16.7662296 sig in 12act.) RANK 3 NODE 15 --> 14.4991035 sigma out 1act.( 13.9239864 sig in 12act.) RANK 4 NODE 9 --> 14.1515951 sigma out 1act.( 13.301055 sig in 12act.) RANK 5 NODE 11 --> 13.8102112 sigma out 1act.( 12.4638395 sig in 12act.) RANK 6 NODE 5 --> 12.3969107 sigma out 1act.( 11.6803627 sig in 12act.) RANK 7 NODE 6 --> 11.9796782 sigma out 1act.( 10.8335724 sig in 12act.) RANK 8 NODE 7 --> 9.72256756 sigma out 1act.( 10.8507528 sig in 12act.) RANK 9 NODE 2 --> 7.52662897 sigma out 1act.( 6.14683294 sig in 12act.) RANK 10 NODE 13 --> 6.24282026 sigma out 1act.( 5.416924 sig in 12act.) RANK 11 NODE 1 --> 5.40423393 sigma out 1act.( 6.61180258 sig in 12act.) RANK 12 NODE 4 --> 4.50761127 sigma out 1act.( 4.17179394 sig in 12act.) RANK 13 NODE 8 --> 3.91992712 sigma out 1act.( 3.41788459 sig in 12act.) RANK 14 NODE 3 --> 2.27185464 sigma out 1act.( 2.38544512 sig in 12act.) RANK 15 NODE 14 --> 1.42444634 sigma out 1act.( 2.54443502 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 43.0329514 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 18.4490795 sigma out 15 active outputs RANK 2 NODE 11 --> 17.3877583 sigma out 15 active outputs RANK 3 NODE 1 --> 14.1520538 sigma out 15 active outputs RANK 4 NODE 8 --> 13.9790745 sigma out 15 active outputs RANK 5 NODE 10 --> 13.8452501 sigma out 15 active outputs RANK 6 NODE 3 --> 13.4331255 sigma out 15 active outputs RANK 7 NODE 6 --> 12.8207817 sigma out 15 active outputs RANK 8 NODE 5 --> 12.0952587 sigma out 15 active outputs RANK 9 NODE 9 --> 11.0516167 sigma out 15 active outputs RANK 10 NODE 4 --> 10.7230406 sigma out 15 active outputs RANK 11 NODE 12 --> 9.02867699 sigma out 15 active outputs RANK 12 NODE 7 --> 8.69190502 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 20.2348175 sigma in 12act. ( 18.2348194 sig out 1act.) RANK 2 NODE 12 --> 16.4712029 sigma in 12act. ( 16.9789352 sig out 1act.) RANK 3 NODE 11 --> 14.5869217 sigma in 12act. ( 13.8299503 sig out 1act.) RANK 4 NODE 6 --> 14.0325937 sigma in 12act. ( 12.0205269 sig out 1act.) RANK 5 NODE 5 --> 13.475318 sigma in 12act. ( 11.7395926 sig out 1act.) RANK 6 NODE 9 --> 13.0521784 sigma in 12act. ( 12.6847553 sig out 1act.) RANK 7 NODE 15 --> 11.4191151 sigma in 12act. ( 11.6961203 sig out 1act.) RANK 8 NODE 3 --> 9.72581005 sigma in 12act. ( 2.85994935 sig out 1act.) RANK 9 NODE 7 --> 9.59732819 sigma in 12act. ( 7.76446056 sig out 1act.) RANK 10 NODE 2 --> 9.51974678 sigma in 12act. ( 7.77214527 sig out 1act.) RANK 11 NODE 13 --> 9.26069736 sigma in 12act. ( 6.77519131 sig out 1act.) RANK 12 NODE 1 --> 7.36671495 sigma in 12act. ( 4.13472414 sig out 1act.) RANK 13 NODE 8 --> 6.98968649 sigma in 12act. ( 4.90395641 sig out 1act.) RANK 14 NODE 4 --> 6.7402215 sigma in 12act. ( 4.86014843 sig out 1act.) RANK 15 NODE 14 --> 5.56527948 sigma in 12act. ( 0.976709843 sig out 1act.) sorted by output significance RANK 1 NODE 10 --> 18.2348194 sigma out 1act.( 20.2348175 sig in 12act.) RANK 2 NODE 12 --> 16.9789352 sigma out 1act.( 16.4712029 sig in 12act.) RANK 3 NODE 11 --> 13.8299503 sigma out 1act.( 14.5869217 sig in 12act.) RANK 4 NODE 9 --> 12.6847553 sigma out 1act.( 13.0521784 sig in 12act.) RANK 5 NODE 6 --> 12.0205269 sigma out 1act.( 14.0325937 sig in 12act.) RANK 6 NODE 5 --> 11.7395926 sigma out 1act.( 13.475318 sig in 12act.) RANK 7 NODE 15 --> 11.6961203 sigma out 1act.( 11.4191151 sig in 12act.) RANK 8 NODE 2 --> 7.77214527 sigma out 1act.( 9.51974678 sig in 12act.) RANK 9 NODE 7 --> 7.76446056 sigma out 1act.( 9.59732819 sig in 12act.) RANK 10 NODE 13 --> 6.77519131 sigma out 1act.( 9.26069736 sig in 12act.) RANK 11 NODE 8 --> 4.90395641 sigma out 1act.( 6.98968649 sig in 12act.) RANK 12 NODE 4 --> 4.86014843 sigma out 1act.( 6.7402215 sig in 12act.) RANK 13 NODE 1 --> 4.13472414 sigma out 1act.( 7.36671495 sig in 12act.) RANK 14 NODE 3 --> 2.85994935 sigma out 1act.( 9.72581005 sig in 12act.) RANK 15 NODE 14 --> 0.976709843 sigma out 1act.( 5.56527948 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 40.4050598 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.384841591 *** contribution from regularisation: 0.00947109237 *** contribution from error: -0.39431268 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.441766024 *** contribution from regularisation: 0.00575576257 *** contribution from error: -0.447521776 *********************************************** -----------------> Test sample ENTER BFGS code START -17770.9676 -0.0309176613 0.27022934 EXIT FROM BFGS code FG_START 0. -0.0309176613 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.47005251 *** contribution from regularisation: 0.00451606512 *** contribution from error: -0.474568576 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -18904.5719 -0.0309176613 -140.998215 EXIT FROM BFGS code FG_LNSRCH 0. -0.078318119 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.521169186 *** contribution from regularisation: 0.00614726776 *** contribution from error: -0.527316451 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -20960.3824 -0.078318119 -148.144073 EXIT FROM BFGS code NEW_X -20960.3824 -0.078318119 -148.144073 ENTER BFGS code NEW_X -20960.3824 -0.078318119 -148.144073 EXIT FROM BFGS code FG_LNSRCH 0. -0.159546763 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.52926749 *** contribution from regularisation: 0.00682886923 *** contribution from error: -0.536096334 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21286.0797 -0.159546763 -25.7037659 EXIT FROM BFGS code NEW_X -21286.0797 -0.159546763 -25.7037659 ENTER BFGS code NEW_X -21286.0797 -0.159546763 -25.7037659 EXIT FROM BFGS code FG_LNSRCH 0. -0.178843692 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.530611336 *** contribution from regularisation: 0.00636947341 *** contribution from error: -0.536980808 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21340.1258 -0.178843692 -11.757535 EXIT FROM BFGS code NEW_X -21340.1258 -0.178843692 -11.757535 ENTER BFGS code NEW_X -21340.1258 -0.178843692 -11.757535 EXIT FROM BFGS code FG_LNSRCH 0. -0.213601768 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.531531513 *** contribution from regularisation: 0.00587123074 *** contribution from error: -0.537402749 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21377.134 -0.213601768 21.2058449 EXIT FROM BFGS code NEW_X -21377.134 -0.213601768 21.2058449 ENTER BFGS code NEW_X -21377.134 -0.213601768 21.2058449 EXIT FROM BFGS code FG_LNSRCH 0. -0.214118361 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.531746626 *** contribution from regularisation: 0.00579987699 *** contribution from error: -0.537546515 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21385.7847 -0.214118361 17.6361351 EXIT FROM BFGS code NEW_X -21385.7847 -0.214118361 17.6361351 ENTER BFGS code NEW_X -21385.7847 -0.214118361 17.6361351 EXIT FROM BFGS code FG_LNSRCH 0. -0.212039873 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.533317387 *** contribution from regularisation: 0.00425098184 *** contribution from error: -0.53756839 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21448.9598 -0.212039873 17.2828922 EXIT FROM BFGS code NEW_X -21448.9598 -0.212039873 17.2828922 ENTER BFGS code NEW_X -21448.9598 -0.212039873 17.2828922 EXIT FROM BFGS code FG_LNSRCH 0. -0.183717802 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 26.0064182 sigma out 15 active outputs RANK 2 NODE 1 --> 17.2083263 sigma out 15 active outputs RANK 3 NODE 4 --> 14.1022148 sigma out 15 active outputs RANK 4 NODE 10 --> 12.8109283 sigma out 15 active outputs RANK 5 NODE 3 --> 11.4364328 sigma out 15 active outputs RANK 6 NODE 11 --> 9.57248783 sigma out 15 active outputs RANK 7 NODE 12 --> 8.73774338 sigma out 15 active outputs RANK 8 NODE 5 --> 8.37980747 sigma out 15 active outputs RANK 9 NODE 9 --> 8.18169308 sigma out 15 active outputs RANK 10 NODE 7 --> 7.01195574 sigma out 15 active outputs RANK 11 NODE 8 --> 6.54948378 sigma out 15 active outputs RANK 12 NODE 6 --> 5.12703133 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 22.3032341 sigma in 12act. ( 20.4785595 sig out 1act.) RANK 2 NODE 11 --> 15.8854971 sigma in 12act. ( 14.2071066 sig out 1act.) RANK 3 NODE 2 --> 15.1378021 sigma in 12act. ( 14.2202206 sig out 1act.) RANK 4 NODE 8 --> 15.0459442 sigma in 12act. ( 14.0544348 sig out 1act.) RANK 5 NODE 10 --> 13.0106859 sigma in 12act. ( 12.3492327 sig out 1act.) RANK 6 NODE 13 --> 12.3256016 sigma in 12act. ( 11.0084629 sig out 1act.) RANK 7 NODE 6 --> 11.5599003 sigma in 12act. ( 9.20379734 sig out 1act.) RANK 8 NODE 5 --> 10.2648764 sigma in 12act. ( 8.99384785 sig out 1act.) RANK 9 NODE 4 --> 9.6656332 sigma in 12act. ( 8.04319191 sig out 1act.) RANK 10 NODE 12 --> 4.00792933 sigma in 12act. ( 1.09779322 sig out 1act.) RANK 11 NODE 9 --> 2.68870497 sigma in 12act. ( 1.59384811 sig out 1act.) RANK 12 NODE 1 --> 1.54644966 sigma in 12act. ( 1.0760442 sig out 1act.) RANK 13 NODE 7 --> 1.4153316 sigma in 12act. ( 0.277343512 sig out 1act.) RANK 14 NODE 14 --> 1.36714971 sigma in 12act. ( 0.505810499 sig out 1act.) RANK 15 NODE 15 --> 1.11412978 sigma in 12act. ( 0.243447602 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 20.4785595 sigma out 1act.( 22.3032341 sig in 12act.) RANK 2 NODE 2 --> 14.2202206 sigma out 1act.( 15.1378021 sig in 12act.) RANK 3 NODE 11 --> 14.2071066 sigma out 1act.( 15.8854971 sig in 12act.) RANK 4 NODE 8 --> 14.0544348 sigma out 1act.( 15.0459442 sig in 12act.) RANK 5 NODE 10 --> 12.3492327 sigma out 1act.( 13.0106859 sig in 12act.) RANK 6 NODE 13 --> 11.0084629 sigma out 1act.( 12.3256016 sig in 12act.) RANK 7 NODE 6 --> 9.20379734 sigma out 1act.( 11.5599003 sig in 12act.) RANK 8 NODE 5 --> 8.99384785 sigma out 1act.( 10.2648764 sig in 12act.) RANK 9 NODE 4 --> 8.04319191 sigma out 1act.( 9.6656332 sig in 12act.) RANK 10 NODE 9 --> 1.59384811 sigma out 1act.( 2.68870497 sig in 12act.) RANK 11 NODE 12 --> 1.09779322 sigma out 1act.( 4.00792933 sig in 12act.) RANK 12 NODE 1 --> 1.0760442 sigma out 1act.( 1.54644966 sig in 12act.) RANK 13 NODE 14 --> 0.505810499 sigma out 1act.( 1.36714971 sig in 12act.) RANK 14 NODE 7 --> 0.277343512 sigma out 1act.( 1.4153316 sig in 12act.) RANK 15 NODE 15 --> 0.243447602 sigma out 1act.( 1.11412978 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 39.118187 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.532352507 *** contribution from regularisation: 0.00509385299 *** contribution from error: -0.53744638 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -21410.1539 -0.183717802 29.330267 EXIT FROM BFGS code FG_LNSRCH 0. -0.203730971 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.531749725 *** contribution from regularisation: 0.00614318764 *** contribution from error: -0.537892938 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21385.9101 -0.203730971 13.2231541 EXIT FROM BFGS code FG_LNSRCH 0. -0.211383522 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.531512499 *** contribution from regularisation: 0.00608750712 *** contribution from error: -0.537599981 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21376.3687 -0.211383522 16.1045685 EXIT FROM BFGS code FG_LNSRCH 0. -0.212034762 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.53193742 *** contribution from regularisation: 0.00563121773 *** contribution from error: -0.537568629 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21393.4595 -0.212034762 16.5687542 EXIT FROM BFGS code FG_LNSRCH 0. -0.212039873 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.531808078 *** contribution from regularisation: 0.00576030556 *** contribution from error: -0.53756839 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21388.2578 -0.212039873 16.4645271 EXIT FROM BFGS code FG_LNSRCH 0. -0.212039873 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.53184396 *** contribution from regularisation: 0.00572443102 *** contribution from error: -0.53756839 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21389.7006 -0.212039873 16.3768101 EXIT FROM BFGS code FG_LNSRCH 0. -0.212039873 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.531829834 *** contribution from regularisation: 0.00573856616 *** contribution from error: -0.53756839 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21389.1321 -0.212039873 16.2911415 EXIT FROM BFGS code FG_LNSRCH 0. -0.212039873 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.531868637 *** contribution from regularisation: 0.00569978356 *** contribution from error: -0.53756839 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21390.6919 -0.212039873 16.236702 EXIT FROM BFGS code NEW_X -21390.6919 -0.212039873 16.236702 ENTER BFGS code NEW_X -21390.6919 -0.212039873 16.236702 EXIT FROM BFGS code CONVERGENC -21390.6919 -0.212039873 16.236702 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 36.3497353 sigma out 15 active outputs RANK 2 NODE 1 --> 24.7395039 sigma out 15 active outputs RANK 3 NODE 10 --> 19.474823 sigma out 15 active outputs RANK 4 NODE 4 --> 17.8742504 sigma out 15 active outputs RANK 5 NODE 3 --> 15.84725 sigma out 15 active outputs RANK 6 NODE 11 --> 13.9310818 sigma out 15 active outputs RANK 7 NODE 5 --> 10.4015026 sigma out 15 active outputs RANK 8 NODE 8 --> 10.0167074 sigma out 15 active outputs RANK 9 NODE 7 --> 9.21737957 sigma out 15 active outputs RANK 10 NODE 6 --> 8.77614307 sigma out 15 active outputs RANK 11 NODE 9 --> 8.59092808 sigma out 15 active outputs RANK 12 NODE 12 --> 7.459095 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 2 --> 24.0377502 sigma in 12act. ( 20.4704399 sig out 1act.) RANK 2 NODE 3 --> 23.8571796 sigma in 12act. ( 22.9734535 sig out 1act.) RANK 3 NODE 11 --> 23.0607204 sigma in 12act. ( 20.3930912 sig out 1act.) RANK 4 NODE 6 --> 18.9273014 sigma in 12act. ( 15.8192396 sig out 1act.) RANK 5 NODE 8 --> 18.8875561 sigma in 12act. ( 17.5269241 sig out 1act.) RANK 6 NODE 10 --> 17.7627964 sigma in 12act. ( 17.7164402 sig out 1act.) RANK 7 NODE 13 --> 16.2588367 sigma in 12act. ( 14.8322849 sig out 1act.) RANK 8 NODE 5 --> 15.6762438 sigma in 12act. ( 14.8832207 sig out 1act.) RANK 9 NODE 4 --> 14.9505186 sigma in 12act. ( 11.331233 sig out 1act.) RANK 10 NODE 9 --> 6.77698755 sigma in 12act. ( 5.46122646 sig out 1act.) RANK 11 NODE 12 --> 6.67643309 sigma in 12act. ( 5.16530132 sig out 1act.) RANK 12 NODE 1 --> 3.84430456 sigma in 12act. ( 1.85603261 sig out 1act.) RANK 13 NODE 7 --> 3.43329287 sigma in 12act. ( 0.789673984 sig out 1act.) RANK 14 NODE 14 --> 3.25910926 sigma in 12act. ( 0.776910305 sig out 1act.) RANK 15 NODE 15 --> 2.58558249 sigma in 12act. ( 0.712796211 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 22.9734535 sigma out 1act.( 23.8571796 sig in 12act.) RANK 2 NODE 2 --> 20.4704399 sigma out 1act.( 24.0377502 sig in 12act.) RANK 3 NODE 11 --> 20.3930912 sigma out 1act.( 23.0607204 sig in 12act.) RANK 4 NODE 10 --> 17.7164402 sigma out 1act.( 17.7627964 sig in 12act.) RANK 5 NODE 8 --> 17.5269241 sigma out 1act.( 18.8875561 sig in 12act.) RANK 6 NODE 6 --> 15.8192396 sigma out 1act.( 18.9273014 sig in 12act.) RANK 7 NODE 5 --> 14.8832207 sigma out 1act.( 15.6762438 sig in 12act.) RANK 8 NODE 13 --> 14.8322849 sigma out 1act.( 16.2588367 sig in 12act.) RANK 9 NODE 4 --> 11.331233 sigma out 1act.( 14.9505186 sig in 12act.) RANK 10 NODE 9 --> 5.46122646 sigma out 1act.( 6.77698755 sig in 12act.) RANK 11 NODE 12 --> 5.16530132 sigma out 1act.( 6.67643309 sig in 12act.) RANK 12 NODE 1 --> 1.85603261 sigma out 1act.( 3.84430456 sig in 12act.) RANK 13 NODE 7 --> 0.789673984 sigma out 1act.( 3.43329287 sig in 12act.) RANK 14 NODE 14 --> 0.776910305 sigma out 1act.( 3.25910926 sig in 12act.) RANK 15 NODE 15 --> 0.712796211 sigma out 1act.( 2.58558249 sig in 12act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 53.531292 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.531873941 *** contribution from regularisation: 0.0056944727 *** contribution from error: -0.53756839 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 26450 Closing output file done