NNInput NNInputs_165.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= 198003 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 = 56298 nbkg = 141705 Bkg Entries: 141705 Sig Entries: 56298 Chosen entries: 56298 Signal fraction: 1 Background fraction: 0.39729 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 141705 Actual Signal Entries: 56298 Entries to split: 56298 Test with : 28149 Train with : 28149 ********************************************* * 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= 56298 for Signal Prepared event 0 for Signal with 56298 events ====Entry 0 Variable Ht : 267.874 Variable LepAPt : 45.292 Variable LepBPt : 35.604 Variable MetSigLeptonsJets : 7.24556 Variable MetSpec : 95.2083 Variable SumEtLeptonsJets : 172.666 Variable VSumJetLeptonsPt : 107.325 Variable addEt : 176.104 Variable dPhiLepSumMet : 2.28406 Variable dPhiLeptons : 0.0254087 Variable dRLeptons : 0.325152 Variable lep1_E : 46.0978 Variable lep2_E : 40.383 ===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 = 2165 Ht = 267.874 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 45.2922 LepAPt = 45.292 LepBEt = 35.604 LepBPt = 35.604 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 95.2083 MetDelPhi = 2.19471 MetSig = 6.53886 MetSigLeptonsJets = 7.24556 MetSpec = 95.2083 Mjj = 0 MostCentralJetEta = -1.47546 MtllMet = 179.575 Njets = 1 SB = 0 SumEt = 212.005 SumEtJets = 0 SumEtLeptonsJets = 172.666 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 107.325 addEt = 176.104 dPhiLepSumMet = 2.28406 dPhiLeptons = 0.0254087 dRLeptons = 0.325152 diltype = 52 dimass = 13.1154 event = 77 jet1_Et = 91.7697 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 46.0978 lep2_E = 40.383 rand = 0.999742 run = 237144 weight = 4.01724e-06 ===Show End Prepared event 10000 for Signal with 56298 events Prepared event 20000 for Signal with 56298 events Prepared event 30000 for Signal with 56298 events Prepared event 40000 for Signal with 56298 events Prepared event 50000 for Signal with 56298 events Adding variable Ht To Neurobayes Adding variable LepAPt To Neurobayes Adding variable LepBPt To Neurobayes Adding variable MetSigLeptonsJets To Neurobayes Adding variable MetSpec To Neurobayes Adding variable SumEtLeptonsJets To Neurobayes Adding variable VSumJetLeptonsPt To Neurobayes Adding variable addEt To Neurobayes Adding variable dPhiLepSumMet To Neurobayes Adding variable dPhiLeptons To Neurobayes Adding variable dRLeptons To Neurobayes Adding variable lep1_E To Neurobayes Adding variable lep2_E To Neurobayes NNAna::PrepareNBTraining_: Nent= 141705 for Background Prepared event 0 for Background with 141705 events ====Entry 0 Variable Ht : 85.3408 Variable LepAPt : 31.1294 Variable LepBPt : 10.0664 Variable MetSigLeptonsJets : 6.87768 Variable MetSpec : 44.1437 Variable SumEtLeptonsJets : 41.1959 Variable VSumJetLeptonsPt : 41.0132 Variable addEt : 85.3408 Variable dPhiLepSumMet : 3.10536 Variable dPhiLeptons : 0.219342 Variable dRLeptons : 0.424454 Variable lep1_E : 32.3548 Variable lep2_E : 10.1027 ===Show Start ======> EVENT:0 DEtaJ1J2 = 0 DEtaJ1Lep1 = 0 DEtaJ1Lep2 = 0 DEtaJ2Lep1 = 0 DEtaJ2Lep2 = 0 DPhiJ1J2 = 0 DPhiJ1Lep1 = 0 DPhiJ1Lep2 = 0 DPhiJ2Lep1 = 0 DPhiJ2Lep2 = 0 DRJ1J2 = 0 DRJ1Lep1 = 0 DRJ1Lep2 = 0 DRJ2Lep1 = 0 DRJ2Lep2 = 0 DeltaRJet12 = 0 File = 1 Ht = 85.3408 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 31.1297 LepAPt = 31.1294 LepBEt = 10.0674 LepBPt = 10.0664 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 44.1437 MetDelPhi = 3.01191 MetSig = 3.74558 MetSigLeptonsJets = 6.87768 MetSpec = 44.1437 Mjj = 0 MostCentralJetEta = 0 MtllMet = 86.2332 Njets = 0 SB = 0 SumEt = 138.899 SumEtJets = 0 SumEtLeptonsJets = 41.1959 Target = 0 TrainWeight = 0.31774 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 41.0132 addEt = 85.3408 dPhiLepSumMet = 3.10536 dPhiLeptons = 0.219342 dRLeptons = 0.424454 diltype = 17 dimass = 7.54723 event = 6717520 jet1_Et = 0 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 32.3548 lep2_E = 10.1027 rand = 0.999742 run = 271566 weight = 0.00296168 ===Show End Prepared event 10000 for Background with 141705 events Prepared event 20000 for Background with 141705 events Prepared event 30000 for Background with 141705 events Prepared event 40000 for Background with 141705 events Prepared event 50000 for Background with 141705 events Prepared event 60000 for Background with 141705 events Prepared event 70000 for Background with 141705 events Prepared event 80000 for Background with 141705 events Prepared event 90000 for Background with 141705 events Prepared event 100000 for Background with 141705 events Prepared event 110000 for Background with 141705 events Prepared event 120000 for Background with 141705 events Prepared event 130000 for Background with 141705 events Prepared event 140000 for Background with 141705 events Warning: found 4436 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 198003 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 4436 negative weights. Signal fraction: 63.1232376 % ------------------------------ 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 47.1748543 62.2217064 64.3755951 66.1873016 67.751297 69.019928 70.1811066 70.920578 71.9468842 72.9848175 73.7342529 74.3998489 75.118248 75.7515259 76.4425964 77.1036224 77.8021088 78.4133301 79.0363159 79.7641144 80.517868 81.3166122 82.0458374 82.9710541 83.7741852 84.9186478 86.0562363 87.2712097 88.7658997 90.0955658 91.7715836 93.3574829 94.9253464 96.7753296 98.3596191 99.9732132 101.557922 103.255806 104.710571 106.386086 108.126022 109.915436 111.530884 113.381096 115.113174 117.038254 118.674149 120.144257 121.908348 123.827713 125.615166 127.50354 129.303406 131.004532 132.694092 134.312866 135.959015 137.520508 139.16832 140.683258 142.243774 143.708374 145.337479 146.676788 148.147217 149.504944 150.86528 152.389694 153.723114 155.157471 156.612732 158.038574 159.382553 160.795242 162.402847 164.09256 165.811844 167.842407 169.683685 171.764664 174.115173 176.488678 179.070465 181.707397 184.737518 187.823822 190.989685 194.379578 197.799744 201.545776 205.983643 210.801422 216.019913 222.222656 229.206345 238.202759 248.161407 262.778137 283.348236 326.881714 928.238586 ------------------------------ Transdef: Tab for variable 3 20.0000362 20.3840179 20.7362022 21.0538483 21.3969383 21.5772591 21.849659 22.0827713 22.3231411 22.5754929 22.7905006 23.0327835 23.2762451 23.490345 23.7089767 23.902916 24.1448135 24.4248829 24.6203156 24.8304462 25.0775185 25.2896881 25.5156384 25.7180595 25.9515362 26.20858 26.4119568 26.6968498 26.9603729 27.1978149 27.4433174 27.704113 27.9270515 28.1614838 28.4188576 28.7079048 28.9532433 29.1934967 29.4574528 29.7477455 30.0215912 30.3132458 30.5915585 30.8709831 31.1889229 31.4627323 31.7542248 32.0344391 32.3230972 32.6181488 32.9415054 33.2391663 33.532486 33.8115234 34.142868 34.4483757 34.7822647 35.1122589 35.4260292 35.7342987 36.057415 36.3953896 36.6814728 37.0183144 37.3702965 37.6946564 38.0424042 38.3807373 38.7118378 39.0623703 39.3160477 39.6699066 39.9843369 40.3493385 40.71978 40.9780579 41.352623 41.7145004 42.1028519 42.5257912 42.9766846 43.4239273 43.919548 44.3811378 44.9211426 45.4692001 46.0096474 46.6122131 47.2139816 47.8922958 48.5943222 49.3936653 50.3489151 51.3959351 52.6276131 54.1617508 56.2332039 58.7050591 62.5778427 69.4931946 228.385986 ------------------------------ Transdef: Tab for variable 4 10.0001297 10.1155748 10.2462702 10.3718491 10.4911709 10.6102209 10.7685127 10.9156847 11.0362892 11.1829662 11.3223457 11.4745617 11.6179161 11.7860613 11.9516563 12.1357021 12.2817507 12.4678459 12.659339 12.8143864 12.9997101 13.1850853 13.4102898 13.5967331 13.7763672 13.9389057 14.1465979 14.3314857 14.5555916 14.8056393 15.0232468 15.2618484 15.4342575 15.6314678 15.8263302 16.0110283 16.2800522 16.5393639 16.7909622 17.0665417 17.36199 17.6888351 17.9606819 18.1669388 18.4542236 18.7365952 19.0312614 19.3073997 19.648716 20.0120468 20.2813587 20.5291786 20.8320827 21.1676254 21.4485283 21.7633247 22.0313454 22.3856773 22.7181091 23.0723419 23.4188232 23.7593651 24.0948563 24.4546242 24.7997112 25.1477184 25.5111847 25.8744488 26.2054329 26.5715408 26.9364624 27.2978668 27.7040348 28.0646553 28.3902721 28.7759914 29.1649513 29.5394058 29.9268875 30.2960968 30.6855736 31.0950413 31.4839535 31.857132 32.2553482 32.6895828 33.0864868 33.5089569 33.9507179 34.4585266 34.9804459 35.5341873 36.1443329 36.8168869 37.5477676 38.5381241 39.6680145 41.1942139 43.6683884 48.0471573 74.918541 ------------------------------ Transdef: Tab for variable 5 1.13770258 2.66180944 3.06244946 3.36008787 3.62968445 3.82677722 4.02494431 4.18206787 4.32298565 4.44395256 4.56801224 4.65081501 4.75251102 4.83279705 4.93024826 5.01131392 5.09356785 5.16764164 5.24763203 5.3090086 5.37693977 5.43361855 5.48444176 5.52414465 5.57185459 5.62155533 5.6700182 5.72412109 5.77788544 5.82871103 5.87717628 5.92852783 5.97963428 6.02440834 6.07278824 6.11284447 6.16289806 6.20572376 6.25644398 6.29133224 6.33835077 6.39173126 6.44371128 6.49140263 6.53518915 6.58517885 6.63312435 6.68207693 6.73267365 6.77817202 6.82709503 6.86710167 6.90320635 6.96075726 7.00882626 7.06722832 7.11861324 7.17116833 7.22639751 7.28208542 7.34132671 7.4020505 7.4618969 7.51196098 7.57717991 7.63240242 7.695611 7.75859976 7.82778358 7.88765001 7.94226837 8.0062542 8.06906605 8.13630486 8.19933128 8.25739288 8.31772041 8.3826704 8.44532204 8.50977707 8.57704353 8.64003181 8.71393299 8.78805351 8.85480881 8.93623924 9.01515007 9.08910751 9.17783356 9.26666927 9.3655529 9.46910763 9.60024261 9.73325729 9.90345955 10.0916491 10.3441372 10.6885605 11.1954231 12.2059746 19.6634274 ------------------------------ Transdef: Tab for variable 6 15.0022125 20.5001335 25.1316338 26.2118187 27.0262222 27.833395 28.7677326 29.5668697 30.4098988 31.1188545 31.7534904 32.3430328 32.9109535 33.3573914 33.8786469 34.3856964 34.7508659 35.1393967 35.5818329 35.984787 36.3998413 36.8069534 37.203476 37.6043625 37.9911423 38.3981857 38.8336029 39.2520828 39.6076927 39.9609833 40.3964081 40.8253098 41.2318497 41.7467117 42.2650375 42.7452736 43.1151962 43.5844612 43.9801865 44.5545731 45.1852188 45.849968 46.5217514 47.1994019 47.9486809 48.6895676 49.3646355 50.0580139 50.7751236 51.5724487 52.4158554 53.292984 54.1437378 54.9459381 55.7789154 56.652565 57.4703636 58.2389069 58.8327866 59.7305603 60.6237488 61.5041504 62.3395691 63.1896324 64.0754929 64.8586273 65.6503601 66.5287781 67.3333893 68.1877899 68.9436188 69.7555618 70.5750885 71.3602448 72.1338654 72.9030151 73.6513367 74.4620056 75.1891479 76.0252533 76.7148285 77.4429932 78.2566071 79.0893326 80.0413284 81.0262527 82.0051193 83.0247345 84.1114197 85.4381561 86.8938141 88.6204681 90.4558334 92.7533569 95.2391357 98.4250793 102.337708 107.185936 114.382851 127.151596 289.142151 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.4678421 33.6249084 34.2801132 34.9962196 35.5428658 35.9281616 36.2977524 36.7457428 37.1911697 37.5173988 37.8962326 38.3029404 38.5924606 38.8785019 39.2531891 39.5449448 39.8875809 40.2633667 40.6189575 41.0270882 41.3803635 41.7204971 42.1740799 42.6995087 43.2086945 43.8488693 44.5304642 45.2868652 46.0275574 46.9193344 47.8258591 48.709938 49.5012207 50.7278328 51.8627777 52.9055252 53.8679199 54.9610291 55.9648361 56.8961906 57.8883133 58.8923721 59.8470764 60.9147072 61.3795776 62.352005 63.368103 64.3060455 65.240036 66.1908722 67.0579224 68.0342789 68.9410858 69.8661575 70.720047 71.602562 72.4532166 73.2755585 74.06427 74.9351349 75.84021 76.6987915 77.5269623 78.3150482 79.1363068 80.0452576 81.1885681 82.2383652 83.3719788 84.6512375 86.0203857 87.5350342 89.0830612 90.8326874 92.4530182 94.0895081 95.7636566 97.595932 99.3257904 101.224747 103.147873 105.082581 107.181335 109.4944 112.060852 114.297516 116.914314 119.963684 123.326218 126.970154 130.938736 135.511337 140.817551 146.432251 153.263794 162.2789 174.822906 193.38797 226.398819 582.217407 ------------------------------ Transdef: Tab for variable 8 0.678276479 24.788063 29.3285847 31.0430679 31.9223385 32.8099442 33.390728 33.8710938 34.3731155 34.7758331 35.1227989 35.4856911 35.8673134 36.163414 36.5074883 36.8857422 37.2201538 37.5113907 37.7833824 38.0640564 38.3628311 38.6650162 38.9756165 39.2812958 39.5907059 39.915699 40.2671814 40.5669403 40.9105377 41.3076401 41.6574249 42.0947571 42.5294266 42.9636917 43.4016151 43.8843193 44.4751587 45.1302948 45.6284637 46.2612648 46.884079 47.5705414 48.1955032 48.7884598 49.4098587 50.1941261 50.9047203 51.6652985 52.4575119 53.1729469 53.8943405 54.6433334 55.4151764 56.12117 56.8637505 57.6052933 58.3696365 59.0742569 59.8353729 60.5756149 61.1225319 61.9196014 62.7011719 63.3900871 64.1360931 64.8454437 65.5932999 66.2916946 67.0249863 67.7477951 68.4204102 69.1821289 69.8912201 70.6306763 71.3612976 72.098877 72.8033524 73.5116425 74.2060623 74.9675598 75.7444229 76.4970093 77.2607574 78.0433426 78.8464203 79.7833405 80.8197327 81.9156189 83.1266327 84.610672 86.2999268 88.0154724 90.0778351 92.5128479 95.4073486 98.8135529 103.038498 108.878891 117.39772 137.838837 347.479309 ------------------------------ Transdef: Tab for variable 9 47.1748543 61.5614052 63.8085861 65.7466049 67.1736526 68.3233032 69.4302063 70.2841873 71.0792999 71.9147568 72.8328552 73.5022583 74.1851501 74.8425751 75.4577637 75.9901123 76.6894226 77.1953735 77.8123779 78.3615723 78.9192963 79.498703 80.0349579 80.8098679 81.4379501 82.0503082 82.7723083 83.5307617 84.3187561 85.2447357 86.2217255 86.9592438 88.0086899 89.125061 90.1579514 91.4485016 92.8629303 93.8455582 95.2339783 96.7506104 98.2075577 99.6351929 101.031334 102.256744 103.774933 105.224792 106.621002 108.215157 109.666367 111.081787 112.716301 114.14061 115.563293 116.862328 118.278534 119.558243 120.576569 121.904449 123.279419 124.638077 126.019806 127.366989 128.619873 130.05426 131.400497 132.836578 134.064774 135.295563 136.659531 137.901367 139.187073 140.386734 141.628067 142.804016 143.99646 145.128387 146.27063 147.471497 148.525452 149.638184 150.678986 151.84964 152.925873 154.036301 155.093262 156.155975 157.326111 158.518234 159.712891 160.868103 162.335327 163.789307 165.404114 167.412354 169.400848 171.695404 175.197327 179.748596 188.298691 210.230133 459.46109 ------------------------------ Transdef: Tab for variable 10 0.0050833188 1.04243517 1.38592672 1.61409521 1.78946352 1.91007781 2.01059866 2.08792448 2.1663909 2.22752905 2.27993274 2.32869816 2.377249 2.41749382 2.45449066 2.48938179 2.52105832 2.54933786 2.57705259 2.60134745 2.62536788 2.64841914 2.67015219 2.69157267 2.71131802 2.73094177 2.74883318 2.76568437 2.77999163 2.79372978 2.80750871 2.8212955 2.8335247 2.84605265 2.85525274 2.86580801 2.87698221 2.88817096 2.89767814 2.90564632 2.91366601 2.9204278 2.92848301 2.93549895 2.94321871 2.94963884 2.95660782 2.96292806 2.96953964 2.97589326 2.98113489 2.98520851 2.98941755 2.99373531 2.99772859 3.00237989 3.00647044 3.01133299 3.01543617 3.01969457 3.02444386 3.02824926 3.03174782 3.03562212 3.03930116 3.04363132 3.04727459 3.05140066 3.05428076 3.05784178 3.06110573 3.0644908 3.06797886 3.07168627 3.07454586 3.07708597 3.08033347 3.08350134 3.08666587 3.09007668 3.09279823 3.09526944 3.09833002 3.10096502 3.10340595 3.10559487 3.1084199 3.11100554 3.11356258 3.1161263 3.11834979 3.12081099 3.12323785 3.1258018 3.12835336 3.13049841 3.13225889 3.13438582 3.13656998 3.13896918 3.1415844 ------------------------------ Transdef: Tab for variable 11 7.15255737E-07 0.00494456291 0.010130167 0.0164039135 0.0236055851 0.0298662465 0.0375872888 0.0456155539 0.0525916815 0.0603119135 0.0672507584 0.0748880506 0.0817417502 0.088201344 0.0948547125 0.102058008 0.108079374 0.114606738 0.121594995 0.128905654 0.135684252 0.142381489 0.149558544 0.155157328 0.161416173 0.167904571 0.174147606 0.180083811 0.185763717 0.191676378 0.1969015 0.202003241 0.206855297 0.211864233 0.216916442 0.221851468 0.2266891 0.231788099 0.236167789 0.241811752 0.246414185 0.251537681 0.256084919 0.260950387 0.265648961 0.270745635 0.275848657 0.280620694 0.28524828 0.290184259 0.295322418 0.300874949 0.306204557 0.310940504 0.317095578 0.322057962 0.326505303 0.332333088 0.338148832 0.343760014 0.349829555 0.355151057 0.35998261 0.365661144 0.372244179 0.378872275 0.38497752 0.390965223 0.397235394 0.402928323 0.409036547 0.415330768 0.422031403 0.429689169 0.435298026 0.44164896 0.448589146 0.456102908 0.46385181 0.471978247 0.481154203 0.490526497 0.500704885 0.509499788 0.519093156 0.528151274 0.538355768 0.546045065 0.558827639 0.573594213 0.586510181 0.602310181 0.619748712 0.635703623 0.6529603 0.672080994 0.697297692 0.724565208 0.776143312 0.838846505 1.13201857 ------------------------------ Transdef: Tab for variable 12 0.200010598 0.209772274 0.218985066 0.227237299 0.234945282 0.242332488 0.249263823 0.25590688 0.262047321 0.268696815 0.274547786 0.280319303 0.285711616 0.291326076 0.297195733 0.302369028 0.30774039 0.312831283 0.317947924 0.323119015 0.327930093 0.33333838 0.338452756 0.34384957 0.348478824 0.352755249 0.35705632 0.361523151 0.36678946 0.371784896 0.376568079 0.381740183 0.38717103 0.391661018 0.396621525 0.400908947 0.404603601 0.408489525 0.412243307 0.415580511 0.419168234 0.423008919 0.426774949 0.430751622 0.434392929 0.437798589 0.441819549 0.44565469 0.449469268 0.454031765 0.458410233 0.462759733 0.466947556 0.471061289 0.475427479 0.478520989 0.482996047 0.487106085 0.491117448 0.495376825 0.500141621 0.505433798 0.510286331 0.515440822 0.520661592 0.524732232 0.530409575 0.535950482 0.541845739 0.547327101 0.551625967 0.558314264 0.56363225 0.569787025 0.577042699 0.582191408 0.588626146 0.59535706 0.602059722 0.609852076 0.617261887 0.62559855 0.63358283 0.643229127 0.652870417 0.663222313 0.670613885 0.680059731 0.691747427 0.702771842 0.713755369 0.72380954 0.740592599 0.753837228 0.769364655 0.786487937 0.805903137 0.827460229 0.856966197 0.900695682 1.15372479 ------------------------------ Transdef: Tab for variable 13 20.0277634 21.6777954 22.5741158 23.4312973 24.1092739 24.7651329 25.2100754 25.6507416 26.0899048 26.6137314 27.1040688 27.456543 27.8243427 28.1943588 28.6975212 29.0978394 29.4314384 29.8809776 30.2473869 30.5945892 30.9589767 31.3492317 31.689949 32.089016 32.4208832 32.8295059 33.2050858 33.6117706 33.9514999 34.34478 34.6308975 34.9827728 35.3934669 35.7218475 36.0785904 36.345726 36.7261658 37.1191864 37.5057144 37.8894882 38.2444305 38.6152992 38.9621696 39.3516922 39.7735748 40.1571884 40.5152206 40.8629456 41.2856636 41.6639595 42.0690422 42.4971581 42.854744 43.1726265 43.5367584 43.9721527 44.3506966 44.7448196 45.1569405 45.5892563 46.0121117 46.4268417 46.8420944 47.2963562 47.7370033 48.1548767 48.6303291 49.0883484 49.5478058 50.0805016 50.6115837 51.0661049 51.6632729 52.2150612 52.7300949 53.3747215 54.0862885 54.7488861 55.4272881 56.1106758 56.8444862 57.7660637 58.5968552 59.456192 60.4718018 61.4779358 62.5655136 63.7942429 65.2317657 66.7125931 68.1410217 69.4609909 71.4162445 74.0001373 76.4880829 79.1614227 82.4475555 87.5329208 92.097641 102.788063 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0034533 10.6525593 11.152133 11.5271206 11.9328947 12.312048 12.7108612 13.0612659 13.4567013 13.799057 14.0841303 14.4861889 14.790596 15.1865673 15.5011787 15.842761 16.2536774 16.5858803 16.8397541 17.2087975 17.5445557 17.8330898 18.1470623 18.5003357 18.8194847 19.130106 19.4204102 19.8021126 20.1543121 20.4921265 20.8606339 21.1920586 21.5218811 21.8002129 22.1273518 22.4918518 22.8635635 23.198452 23.5243683 23.8873672 24.2121735 24.5453262 24.8771687 25.2083435 25.5365925 25.8795547 26.1884537 26.5434494 26.8845043 27.2103233 27.5386963 27.8262863 28.0531998 28.3805733 28.7491074 29.0731239 29.4163895 29.7820969 30.1288986 30.4864769 30.857914 31.2098732 31.5204544 31.8491478 32.2141342 32.521637 32.8688622 33.2280579 33.5021057 33.849678 34.1985168 34.5775223 34.9348602 35.3287125 35.7580719 36.1529694 36.568367 37.0119057 37.4192123 37.8887177 38.3937378 38.9337234 39.4408188 39.913765 40.4501228 41.0556107 41.6940231 42.4149323 43.1044197 43.9755058 44.7078362 45.8167267 46.9447021 48.2287445 49.6812515 51.4007416 53.431282 55.9777985 60.1415634 66.3603973 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 66.1 52.4 57.9 33.6 52.2 63.2 56.6 65.0 -22.9 -21.9 -44.7 13.4 31.6 2 66.1 100.0 67.9 64.9 40.9 71.0 94.9 77.9 92.2 -43.1 -26.8 -53.9 31.6 40.9 3 52.4 67.9 100.0 54.5 13.8 37.1 71.1 55.7 72.9 -15.4 -29.4 -60.0 61.0 34.0 4 57.9 64.9 54.5 100.0 23.3 43.4 64.6 57.4 71.7 -9.5 -33.6 -67.6 24.1 73.7 5 33.6 40.9 13.8 23.3 100.0 85.3 14.7 62.0 61.1 21.2 -9.2 -16.5 -1.9 12.2 6 52.2 71.0 37.1 43.4 85.3 100.0 50.8 80.8 81.1 -5.9 -18.0 -34.1 11.0 25.8 7 63.2 94.9 71.1 64.6 14.7 50.8 100.0 68.9 81.5 -51.7 -26.1 -54.2 36.0 41.7 8 56.6 77.9 55.7 57.4 62.0 80.8 68.9 100.0 85.4 -10.8 -25.6 -47.9 25.1 37.0 9 65.0 92.2 72.9 71.7 61.1 81.1 81.5 85.4 100.0 -19.3 -29.5 -59.8 35.5 47.0 10 -22.9 -43.1 -15.4 -9.5 21.2 -5.9 -51.7 -10.8 -19.3 100.0 3.2 8.0 -5.2 -3.2 11 -21.9 -26.8 -29.4 -33.6 -9.2 -18.0 -26.1 -25.6 -29.5 3.2 100.0 54.8 -10.3 -21.8 12 -44.7 -53.9 -60.0 -67.6 -16.5 -34.1 -54.2 -47.9 -59.8 8.0 54.8 100.0 -27.9 -43.9 13 13.4 31.6 61.0 24.1 -1.9 11.0 36.0 25.1 35.5 -5.2 -10.3 -27.9 100.0 51.8 14 31.6 40.9 34.0 73.7 12.2 25.8 41.7 37.0 47.0 -3.2 -21.8 -43.9 51.8 100.0 TOTAL CORRELATION TO TARGET (diagonal) 172.963691 TOTAL CORRELATION OF ALL VARIABLES 73.6961249 ROUND 1: MAX CORR ( 73.6961244) AFTER KILLING INPUT VARIABLE 14 CONTR 0.00890800566 ROUND 2: MAX CORR ( 73.6928127) AFTER KILLING INPUT VARIABLE 8 CONTR 0.698648153 ROUND 3: MAX CORR ( 73.6849038) AFTER KILLING INPUT VARIABLE 11 CONTR 1.07962471 ROUND 4: MAX CORR ( 73.659478) AFTER KILLING INPUT VARIABLE 12 CONTR 1.93554816 ROUND 5: MAX CORR ( 73.6010196) AFTER KILLING INPUT VARIABLE 2 CONTR 2.93404497 ROUND 6: MAX CORR ( 73.456935) AFTER KILLING INPUT VARIABLE 6 CONTR 4.60312708 ROUND 7: MAX CORR ( 73.2893728) AFTER KILLING INPUT VARIABLE 10 CONTR 4.95874359 ROUND 8: MAX CORR ( 72.009131) AFTER KILLING INPUT VARIABLE 9 CONTR 13.6388129 ROUND 9: MAX CORR ( 70.7070097) AFTER KILLING INPUT VARIABLE 3 CONTR 13.6320845 ROUND 10: MAX CORR ( 70.1838738) AFTER KILLING INPUT VARIABLE 13 CONTR 8.58516633 ROUND 11: MAX CORR ( 67.7851127) AFTER KILLING INPUT VARIABLE 4 CONTR 18.1921586 ROUND 12: MAX CORR ( 63.1796184) AFTER KILLING INPUT VARIABLE 5 CONTR 24.5592614 LAST REMAINING VARIABLE: 7 total correlation to target: 73.6961249 % total significance: 156.205198 sigma correlations of single variables to target: variable 2: 66.1044581 % , in sigma: 140.114016 variable 3: 52.3631363 % , in sigma: 110.988117 variable 4: 57.907895 % , in sigma: 122.740704 variable 5: 33.5727753 % , in sigma: 71.1603497 variable 6: 52.1742679 % , in sigma: 110.587794 variable 7: 63.1796184 % , in sigma: 133.914569 variable 8: 56.611141 % , in sigma: 119.992123 variable 9: 65.0103838 % , in sigma: 137.795032 variable 10: -22.8620935 % , in sigma: 48.4581498 variable 11: -21.9352675 % , in sigma: 46.4936632 variable 12: -44.6780823 % , in sigma: 94.6989916 variable 13: 13.4398122 % , in sigma: 28.486824 variable 14: 31.6022932 % , in sigma: 66.9837455 variables sorted by significance: 1 most relevant variable 7 corr 63.1796188 , in sigma: 133.91457 2 most relevant variable 5 corr 24.5592613 , in sigma: 52.0554411 3 most relevant variable 4 corr 18.1921577 , in sigma: 38.559824 4 most relevant variable 13 corr 8.58516598 , in sigma: 18.1969887 5 most relevant variable 3 corr 13.6320848 , in sigma: 28.8943621 6 most relevant variable 9 corr 13.638813 , in sigma: 28.908623 7 most relevant variable 10 corr 4.95874357 , in sigma: 10.5104783 8 most relevant variable 6 corr 4.603127 , in sigma: 9.75671879 9 most relevant variable 2 corr 2.93404508 , in sigma: 6.21895783 10 most relevant variable 12 corr 1.93554819 , in sigma: 4.10255884 11 most relevant variable 11 corr 1.07962465 , in sigma: 2.28835618 12 most relevant variable 8 corr 0.698648155 , in sigma: 1.48084412 13 most relevant variable 14 corr 0.00890800543 , in sigma: 0.0188812744 global correlations between input variables: variable 2: 99.2897325 % variable 3: 92.3739097 % variable 4: 93.0154436 % variable 5: 95.5295811 % variable 6: 94.81247 % variable 7: 98.957933 % variable 8: 90.5276011 % variable 9: 98.8020892 % variable 10: 71.5320064 % variable 11: 55.7912396 % variable 12: 79.3545835 % variable 13: 84.494644 % variable 14: 88.7781617 % significance loss when removing single variables: variable 2: corr = 2.50104829 % , sigma = 5.30118435 variable 3: corr = 17.8239343 % , sigma = 37.7793432 variable 4: corr = 14.770688 % , sigma = 31.3077283 variable 5: corr = 13.5051381 % , sigma = 28.6252877 variable 6: corr = 4.0778648 % , sigma = 8.64338093 variable 7: corr = 6.62046437 % , sigma = 14.0326367 variable 8: corr = 0.698658814 % , sigma = 1.48086672 variable 9: corr = 13.0887021 % , sigma = 27.7426162 variable 10: corr = 3.92262782 % , sigma = 8.31434296 variable 11: corr = 1.03336429 % , sigma = 2.1903034 variable 12: corr = 1.24645481 % , sigma = 2.64196687 variable 13: corr = 9.33176282 % , sigma = 19.7794642 variable 14: corr = 0.00890800558 % , sigma = 0.0188812747 Keep only 10 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 11 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 16.1329689 sigma out 15 active outputs RANK 2 NODE 2 --> 15.2860765 sigma out 15 active outputs RANK 3 NODE 9 --> 10.0347414 sigma out 15 active outputs RANK 4 NODE 7 --> 9.1024313 sigma out 15 active outputs RANK 5 NODE 11 --> 7.93653536 sigma out 15 active outputs RANK 6 NODE 6 --> 7.81793499 sigma out 15 active outputs RANK 7 NODE 3 --> 7.81009912 sigma out 15 active outputs RANK 8 NODE 4 --> 7.55736637 sigma out 15 active outputs RANK 9 NODE 8 --> 7.17438889 sigma out 15 active outputs RANK 10 NODE 5 --> 7.11503553 sigma out 15 active outputs RANK 11 NODE 10 --> 6.7641468 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 22.4754047 sigma in 11act. ( 26.6888046 sig out 1act.) RANK 2 NODE 6 --> 12.0565376 sigma in 11act. ( 8.00131226 sig out 1act.) RANK 3 NODE 14 --> 10.9173546 sigma in 11act. ( 13.2503996 sig out 1act.) RANK 4 NODE 7 --> 7.80988932 sigma in 11act. ( 9.92251778 sig out 1act.) RANK 5 NODE 9 --> 7.04445362 sigma in 11act. ( 8.49008274 sig out 1act.) RANK 6 NODE 11 --> 6.39829445 sigma in 11act. ( 3.95998549 sig out 1act.) RANK 7 NODE 13 --> 6.04656982 sigma in 11act. ( 8.66775322 sig out 1act.) RANK 8 NODE 12 --> 5.62953329 sigma in 11act. ( 4.93409729 sig out 1act.) RANK 9 NODE 8 --> 5.25595522 sigma in 11act. ( 8.93249512 sig out 1act.) RANK 10 NODE 4 --> 3.82916617 sigma in 11act. ( 4.51092005 sig out 1act.) RANK 11 NODE 3 --> 3.66349077 sigma in 11act. ( 6.98216486 sig out 1act.) RANK 12 NODE 15 --> 3.25343704 sigma in 11act. ( 4.09839249 sig out 1act.) RANK 13 NODE 5 --> 2.29347515 sigma in 11act. ( 3.5985415 sig out 1act.) RANK 14 NODE 2 --> 2.14422607 sigma in 11act. ( 0.457643688 sig out 1act.) RANK 15 NODE 10 --> 1.37952495 sigma in 11act. ( 0.362625033 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 26.6888046 sigma out 1act.( 22.4754047 sig in 11act.) RANK 2 NODE 14 --> 13.2503996 sigma out 1act.( 10.9173546 sig in 11act.) RANK 3 NODE 7 --> 9.92251778 sigma out 1act.( 7.80988932 sig in 11act.) RANK 4 NODE 8 --> 8.93249512 sigma out 1act.( 5.25595522 sig in 11act.) RANK 5 NODE 13 --> 8.66775322 sigma out 1act.( 6.04656982 sig in 11act.) RANK 6 NODE 9 --> 8.49008274 sigma out 1act.( 7.04445362 sig in 11act.) RANK 7 NODE 6 --> 8.00131226 sigma out 1act.( 12.0565376 sig in 11act.) RANK 8 NODE 3 --> 6.98216486 sigma out 1act.( 3.66349077 sig in 11act.) RANK 9 NODE 12 --> 4.93409729 sigma out 1act.( 5.62953329 sig in 11act.) RANK 10 NODE 4 --> 4.51092005 sigma out 1act.( 3.82916617 sig in 11act.) RANK 11 NODE 15 --> 4.09839249 sigma out 1act.( 3.25343704 sig in 11act.) RANK 12 NODE 11 --> 3.95998549 sigma out 1act.( 6.39829445 sig in 11act.) RANK 13 NODE 5 --> 3.5985415 sigma out 1act.( 2.29347515 sig in 11act.) RANK 14 NODE 2 --> 0.457643688 sigma out 1act.( 2.14422607 sig in 11act.) RANK 15 NODE 10 --> 0.362625033 sigma out 1act.( 1.37952495 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 37.6371727 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 27.8659782 sigma out 15 active outputs RANK 2 NODE 1 --> 17.8467827 sigma out 15 active outputs RANK 3 NODE 7 --> 13.237009 sigma out 15 active outputs RANK 4 NODE 3 --> 10.9437323 sigma out 15 active outputs RANK 5 NODE 9 --> 10.8480625 sigma out 15 active outputs RANK 6 NODE 6 --> 10.6231613 sigma out 15 active outputs RANK 7 NODE 5 --> 10.4061613 sigma out 15 active outputs RANK 8 NODE 11 --> 10.1477709 sigma out 15 active outputs RANK 9 NODE 4 --> 10.0919781 sigma out 15 active outputs RANK 10 NODE 10 --> 9.70178795 sigma out 15 active outputs RANK 11 NODE 8 --> 9.57404137 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 1 --> 24.745327 sigma in 11act. ( 24.9516602 sig out 1act.) RANK 2 NODE 14 --> 14.1969757 sigma in 11act. ( 12.7084179 sig out 1act.) RANK 3 NODE 3 --> 14.0963964 sigma in 11act. ( 8.96419334 sig out 1act.) RANK 4 NODE 8 --> 13.6809368 sigma in 11act. ( 9.85969639 sig out 1act.) RANK 5 NODE 5 --> 11.8494825 sigma in 11act. ( 5.39455509 sig out 1act.) RANK 6 NODE 7 --> 11.5795202 sigma in 11act. ( 10.7798643 sig out 1act.) RANK 7 NODE 13 --> 11.4806099 sigma in 11act. ( 9.45347023 sig out 1act.) RANK 8 NODE 9 --> 11.4533415 sigma in 11act. ( 8.82645988 sig out 1act.) RANK 9 NODE 12 --> 8.81944942 sigma in 11act. ( 4.46044588 sig out 1act.) RANK 10 NODE 15 --> 8.56229687 sigma in 11act. ( 5.13538456 sig out 1act.) RANK 11 NODE 6 --> 8.15250397 sigma in 11act. ( 6.18284988 sig out 1act.) RANK 12 NODE 11 --> 8.03811073 sigma in 11act. ( 3.331074 sig out 1act.) RANK 13 NODE 4 --> 6.75747633 sigma in 11act. ( 5.1704607 sig out 1act.) RANK 14 NODE 2 --> 5.33693504 sigma in 11act. ( 0.150301009 sig out 1act.) RANK 15 NODE 10 --> 5.08717012 sigma in 11act. ( 1.27109551 sig out 1act.) sorted by output significance RANK 1 NODE 1 --> 24.9516602 sigma out 1act.( 24.745327 sig in 11act.) RANK 2 NODE 14 --> 12.7084179 sigma out 1act.( 14.1969757 sig in 11act.) RANK 3 NODE 7 --> 10.7798643 sigma out 1act.( 11.5795202 sig in 11act.) RANK 4 NODE 8 --> 9.85969639 sigma out 1act.( 13.6809368 sig in 11act.) RANK 5 NODE 13 --> 9.45347023 sigma out 1act.( 11.4806099 sig in 11act.) RANK 6 NODE 3 --> 8.96419334 sigma out 1act.( 14.0963964 sig in 11act.) RANK 7 NODE 9 --> 8.82645988 sigma out 1act.( 11.4533415 sig in 11act.) RANK 8 NODE 6 --> 6.18284988 sigma out 1act.( 8.15250397 sig in 11act.) RANK 9 NODE 5 --> 5.39455509 sigma out 1act.( 11.8494825 sig in 11act.) RANK 10 NODE 4 --> 5.1704607 sigma out 1act.( 6.75747633 sig in 11act.) RANK 11 NODE 15 --> 5.13538456 sigma out 1act.( 8.56229687 sig in 11act.) RANK 12 NODE 12 --> 4.46044588 sigma out 1act.( 8.81944942 sig in 11act.) RANK 13 NODE 11 --> 3.331074 sigma out 1act.( 8.03811073 sig in 11act.) RANK 14 NODE 10 --> 1.27109551 sigma out 1act.( 5.08717012 sig in 11act.) RANK 15 NODE 2 --> 0.150301009 sigma out 1act.( 5.33693504 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 37.3925705 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.404891461 *** contribution from regularisation: 0.00455477135 *** contribution from error: -0.409446239 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.466613501 *** contribution from regularisation: 0.0018754662 *** contribution from error: -0.468488961 *********************************************** -----------------> Test sample ENTER BFGS code START -46205.1033 -0.0489532426 4.24577229E-05 EXIT FROM BFGS code FG_START 0. -0.0489532426 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.487609416 *** contribution from regularisation: 0.00204047118 *** contribution from error: -0.489649892 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -48273.8205 -0.0489532426 1.28950107 EXIT FROM BFGS code FG_LNSRCH 0. -0.0488157272 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.539056838 *** contribution from regularisation: 0.00327999122 *** contribution from error: -0.542336822 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53367.1663 -0.0488157272 9.39189434 EXIT FROM BFGS code NEW_X -53367.1663 -0.0488157272 9.39189434 ENTER BFGS code NEW_X -53367.1663 -0.0488157272 9.39189434 EXIT FROM BFGS code FG_LNSRCH 0. -0.0477020368 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.543158174 *** contribution from regularisation: 0.00326983142 *** contribution from error: -0.546428025 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -53773.2034 -0.0477020368 7.80553484 EXIT FROM BFGS code NEW_X -53773.2034 -0.0477020368 7.80553484 ENTER BFGS code NEW_X -53773.2034 -0.0477020368 7.80553484 EXIT FROM BFGS code FG_LNSRCH 0. -0.0442938544 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.548189044 *** contribution from regularisation: 0.00304295658 *** contribution from error: -0.55123198 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54271.265 -0.0442938544 3.17348528 EXIT FROM BFGS code NEW_X -54271.265 -0.0442938544 3.17348528 ENTER BFGS code NEW_X -54271.265 -0.0442938544 3.17348528 EXIT FROM BFGS code FG_LNSRCH 0. -0.0410732031 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.550050616 *** contribution from regularisation: 0.00279044732 *** contribution from error: -0.552841067 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54455.564 -0.0410732031 0.0154528245 EXIT FROM BFGS code NEW_X -54455.564 -0.0410732031 0.0154528245 ENTER BFGS code NEW_X -54455.564 -0.0410732031 0.0154528245 EXIT FROM BFGS code FG_LNSRCH 0. -0.0404953361 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.550919116 *** contribution from regularisation: 0.0026583143 *** contribution from error: -0.553577423 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54541.542 -0.0404953361 1.14900661 EXIT FROM BFGS code NEW_X -54541.542 -0.0404953361 1.14900661 ENTER BFGS code NEW_X -54541.542 -0.0404953361 1.14900661 EXIT FROM BFGS code FG_LNSRCH 0. -0.0375606678 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.552393615 *** contribution from regularisation: 0.00270550698 *** contribution from error: -0.55509913 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54687.5184 -0.0375606678 -8.07384872 EXIT FROM BFGS code NEW_X -54687.5184 -0.0375606678 -8.07384872 ENTER BFGS code NEW_X -54687.5184 -0.0375606678 -8.07384872 EXIT FROM BFGS code FG_LNSRCH 0. -0.0401366465 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 50.399025 sigma out 15 active outputs RANK 2 NODE 1 --> 32.4020309 sigma out 15 active outputs RANK 3 NODE 5 --> 24.4333591 sigma out 15 active outputs RANK 4 NODE 9 --> 22.3561802 sigma out 15 active outputs RANK 5 NODE 4 --> 21.4191742 sigma out 15 active outputs RANK 6 NODE 8 --> 18.2626343 sigma out 15 active outputs RANK 7 NODE 10 --> 17.4515743 sigma out 15 active outputs RANK 8 NODE 11 --> 11.1381798 sigma out 15 active outputs RANK 9 NODE 6 --> 10.5091553 sigma out 15 active outputs RANK 10 NODE 7 --> 9.94227886 sigma out 15 active outputs RANK 11 NODE 3 --> 9.60678005 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 51.2285652 sigma in 11act. ( 41.7949524 sig out 1act.) RANK 2 NODE 1 --> 34.2287407 sigma in 11act. ( 32.3065338 sig out 1act.) RANK 3 NODE 14 --> 24.6057701 sigma in 11act. ( 28.3680992 sig out 1act.) RANK 4 NODE 3 --> 21.9790993 sigma in 11act. ( 17.570507 sig out 1act.) RANK 5 NODE 8 --> 16.2841187 sigma in 11act. ( 12.5242615 sig out 1act.) RANK 6 NODE 13 --> 15.8630562 sigma in 11act. ( 12.0092278 sig out 1act.) RANK 7 NODE 11 --> 13.0746851 sigma in 11act. ( 13.0098515 sig out 1act.) RANK 8 NODE 15 --> 12.9393225 sigma in 11act. ( 10.2697296 sig out 1act.) RANK 9 NODE 7 --> 12.2214832 sigma in 11act. ( 9.71593094 sig out 1act.) RANK 10 NODE 2 --> 10.1907701 sigma in 11act. ( 9.63548756 sig out 1act.) RANK 11 NODE 4 --> 9.0916338 sigma in 11act. ( 6.43617582 sig out 1act.) RANK 12 NODE 9 --> 7.29070234 sigma in 11act. ( 4.68762636 sig out 1act.) RANK 13 NODE 6 --> 5.98053074 sigma in 11act. ( 5.46054268 sig out 1act.) RANK 14 NODE 12 --> 5.47899914 sigma in 11act. ( 3.32637906 sig out 1act.) RANK 15 NODE 10 --> 3.84052944 sigma in 11act. ( 0.319812745 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 41.7949524 sigma out 1act.( 51.2285652 sig in 11act.) RANK 2 NODE 1 --> 32.3065338 sigma out 1act.( 34.2287407 sig in 11act.) RANK 3 NODE 14 --> 28.3680992 sigma out 1act.( 24.6057701 sig in 11act.) RANK 4 NODE 3 --> 17.570507 sigma out 1act.( 21.9790993 sig in 11act.) RANK 5 NODE 11 --> 13.0098515 sigma out 1act.( 13.0746851 sig in 11act.) RANK 6 NODE 8 --> 12.5242615 sigma out 1act.( 16.2841187 sig in 11act.) RANK 7 NODE 13 --> 12.0092278 sigma out 1act.( 15.8630562 sig in 11act.) RANK 8 NODE 15 --> 10.2697296 sigma out 1act.( 12.9393225 sig in 11act.) RANK 9 NODE 7 --> 9.71593094 sigma out 1act.( 12.2214832 sig in 11act.) RANK 10 NODE 2 --> 9.63548756 sigma out 1act.( 10.1907701 sig in 11act.) RANK 11 NODE 4 --> 6.43617582 sigma out 1act.( 9.0916338 sig in 11act.) RANK 12 NODE 6 --> 5.46054268 sigma out 1act.( 5.98053074 sig in 11act.) RANK 13 NODE 9 --> 4.68762636 sigma out 1act.( 7.29070234 sig in 11act.) RANK 14 NODE 12 --> 3.32637906 sigma out 1act.( 5.47899914 sig in 11act.) RANK 15 NODE 10 --> 0.319812745 sigma out 1act.( 3.84052944 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 69.075531 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.55425173 *** contribution from regularisation: 0.00328175514 *** contribution from error: -0.557533503 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -54871.4783 -0.0401366465 -8.47013378 EXIT FROM BFGS code NEW_X -54871.4783 -0.0401366465 -8.47013378 ENTER BFGS code NEW_X -54871.4783 -0.0401366465 -8.47013378 EXIT FROM BFGS code FG_LNSRCH 0. -0.0482839756 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.554458737 *** contribution from regularisation: 0.00336342258 *** contribution from error: -0.557822168 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -54891.972 -0.0482839756 -189.384552 EXIT FROM BFGS code FG_LNSRCH 0. -0.0435912646 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.555932164 *** contribution from regularisation: 0.00252189464 *** contribution from error: -0.558454037 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55037.8414 -0.0435912646 -71.142952 EXIT FROM BFGS code NEW_X -55037.8414 -0.0435912646 -71.142952 ENTER BFGS code NEW_X -55037.8414 -0.0435912646 -71.142952 EXIT FROM BFGS code FG_LNSRCH 0. -0.0653568283 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.556246996 *** contribution from regularisation: 0.00299924798 *** contribution from error: -0.559246242 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55069.006 -0.0653568283 -22.4489326 EXIT FROM BFGS code NEW_X -55069.006 -0.0653568283 -22.4489326 ENTER BFGS code NEW_X -55069.006 -0.0653568283 -22.4489326 EXIT FROM BFGS code FG_LNSRCH 0. -0.0903238356 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.557039201 *** contribution from regularisation: 0.00295225251 *** contribution from error: -0.559991479 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55147.4377 -0.0903238356 -20.613409 EXIT FROM BFGS code NEW_X -55147.4377 -0.0903238356 -20.613409 ENTER BFGS code NEW_X -55147.4377 -0.0903238356 -20.613409 EXIT FROM BFGS code FG_LNSRCH 0. -0.127497613 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.557738304 *** contribution from regularisation: 0.00296994182 *** contribution from error: -0.560708225 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55216.6508 -0.127497613 66.6826706 EXIT FROM BFGS code NEW_X -55216.6508 -0.127497613 66.6826706 ENTER BFGS code NEW_X -55216.6508 -0.127497613 66.6826706 EXIT FROM BFGS code FG_LNSRCH 0. -0.161530256 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.558667421 *** contribution from regularisation: 0.00300821918 *** contribution from error: -0.561675668 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55308.6322 -0.161530256 48.1820145 EXIT FROM BFGS code NEW_X -55308.6322 -0.161530256 48.1820145 ENTER BFGS code NEW_X -55308.6322 -0.161530256 48.1820145 EXIT FROM BFGS code FG_LNSRCH 0. -0.193559736 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.559355021 *** contribution from regularisation: 0.0029789058 *** contribution from error: -0.562333941 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55376.7056 -0.193559736 77.4949188 EXIT FROM BFGS code NEW_X -55376.7056 -0.193559736 77.4949188 ENTER BFGS code NEW_X -55376.7056 -0.193559736 77.4949188 EXIT FROM BFGS code FG_LNSRCH 0. -0.165934026 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.559548736 *** contribution from regularisation: 0.00283863046 *** contribution from error: -0.562387347 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55395.8855 -0.165934026 -77.9103699 EXIT FROM BFGS code NEW_X -55395.8855 -0.165934026 -77.9103699 ENTER BFGS code NEW_X -55395.8855 -0.165934026 -77.9103699 EXIT FROM BFGS code FG_LNSRCH 0. -0.165717691 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.559639335 *** contribution from regularisation: 0.00289449655 *** contribution from error: -0.562533855 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55404.8546 -0.165717691 -27.2910595 EXIT FROM BFGS code NEW_X -55404.8546 -0.165717691 -27.2910595 ENTER BFGS code NEW_X -55404.8546 -0.165717691 -27.2910595 EXIT FROM BFGS code FG_LNSRCH 0. -0.16732268 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 61.2069817 sigma out 15 active outputs RANK 2 NODE 5 --> 37.0202713 sigma out 15 active outputs RANK 3 NODE 1 --> 34.9266701 sigma out 15 active outputs RANK 4 NODE 4 --> 34.26231 sigma out 15 active outputs RANK 5 NODE 10 --> 27.4506702 sigma out 15 active outputs RANK 6 NODE 9 --> 23.2926426 sigma out 15 active outputs RANK 7 NODE 8 --> 22.0139942 sigma out 15 active outputs RANK 8 NODE 11 --> 16.9322758 sigma out 15 active outputs RANK 9 NODE 3 --> 15.7684755 sigma out 15 active outputs RANK 10 NODE 6 --> 11.3259115 sigma out 15 active outputs RANK 11 NODE 7 --> 7.45845842 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 66.6806412 sigma in 11act. ( 60.7954559 sig out 1act.) RANK 2 NODE 1 --> 44.2617416 sigma in 11act. ( 45.2216492 sig out 1act.) RANK 3 NODE 14 --> 34.9130135 sigma in 11act. ( 42.0585365 sig out 1act.) RANK 4 NODE 3 --> 21.9793701 sigma in 11act. ( 18.7989464 sig out 1act.) RANK 5 NODE 11 --> 20.523428 sigma in 11act. ( 20.2784729 sig out 1act.) RANK 6 NODE 2 --> 19.752676 sigma in 11act. ( 20.7402859 sig out 1act.) RANK 7 NODE 13 --> 17.9086475 sigma in 11act. ( 17.9124126 sig out 1act.) RANK 8 NODE 8 --> 15.0937576 sigma in 11act. ( 14.2845888 sig out 1act.) RANK 9 NODE 15 --> 14.335927 sigma in 11act. ( 13.80581 sig out 1act.) RANK 10 NODE 7 --> 10.3582659 sigma in 11act. ( 8.45350075 sig out 1act.) RANK 11 NODE 6 --> 10.214613 sigma in 11act. ( 11.2467537 sig out 1act.) RANK 12 NODE 4 --> 7.00301886 sigma in 11act. ( 4.8316431 sig out 1act.) RANK 13 NODE 12 --> 6.68716764 sigma in 11act. ( 6.3234911 sig out 1act.) RANK 14 NODE 9 --> 4.66444588 sigma in 11act. ( 0.738126993 sig out 1act.) RANK 15 NODE 10 --> 3.24292922 sigma in 11act. ( 0.976164401 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 60.7954559 sigma out 1act.( 66.6806412 sig in 11act.) RANK 2 NODE 1 --> 45.2216492 sigma out 1act.( 44.2617416 sig in 11act.) RANK 3 NODE 14 --> 42.0585365 sigma out 1act.( 34.9130135 sig in 11act.) RANK 4 NODE 2 --> 20.7402859 sigma out 1act.( 19.752676 sig in 11act.) RANK 5 NODE 11 --> 20.2784729 sigma out 1act.( 20.523428 sig in 11act.) RANK 6 NODE 3 --> 18.7989464 sigma out 1act.( 21.9793701 sig in 11act.) RANK 7 NODE 13 --> 17.9124126 sigma out 1act.( 17.9086475 sig in 11act.) RANK 8 NODE 8 --> 14.2845888 sigma out 1act.( 15.0937576 sig in 11act.) RANK 9 NODE 15 --> 13.80581 sigma out 1act.( 14.335927 sig in 11act.) RANK 10 NODE 6 --> 11.2467537 sigma out 1act.( 10.214613 sig in 11act.) RANK 11 NODE 7 --> 8.45350075 sigma out 1act.( 10.3582659 sig in 11act.) RANK 12 NODE 12 --> 6.3234911 sigma out 1act.( 6.68716764 sig in 11act.) RANK 13 NODE 4 --> 4.8316431 sigma out 1act.( 7.00301886 sig in 11act.) RANK 14 NODE 10 --> 0.976164401 sigma out 1act.( 3.24292922 sig in 11act.) RANK 15 NODE 9 --> 0.738126993 sigma out 1act.( 4.66444588 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 98.4025726 sigma in 15 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.559717298 *** contribution from regularisation: 0.0028786303 *** contribution from error: -0.562595904 *********************************************** -----------------> Test sample Iteration No: 20 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -55412.5738 -0.16732268 -4.25403452 EXIT FROM BFGS code NEW_X -55412.5738 -0.16732268 -4.25403452 ENTER BFGS code NEW_X -55412.5738 -0.16732268 -4.25403452 EXIT FROM BFGS code FG_LNSRCH 0. -0.16950956 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.559935451 *** contribution from regularisation: 0.00281379954 *** contribution from error: -0.562749267 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55434.1691 -0.16950956 21.015377 EXIT FROM BFGS code NEW_X -55434.1691 -0.16950956 21.015377 ENTER BFGS code NEW_X -55434.1691 -0.16950956 21.015377 EXIT FROM BFGS code FG_LNSRCH 0. -0.177157968 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.560125887 *** contribution from regularisation: 0.00283827633 *** contribution from error: -0.562964141 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55453.0256 -0.177157968 43.2781525 EXIT FROM BFGS code NEW_X -55453.0256 -0.177157968 43.2781525 ENTER BFGS code NEW_X -55453.0256 -0.177157968 43.2781525 EXIT FROM BFGS code FG_LNSRCH 0. -0.18653731 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.56016922 *** contribution from regularisation: 0.00283733476 *** contribution from error: -0.56300658 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55457.3139 -0.18653731 -70.609314 EXIT FROM BFGS code NEW_X -55457.3139 -0.18653731 -70.609314 ENTER BFGS code NEW_X -55457.3139 -0.18653731 -70.609314 EXIT FROM BFGS code FG_LNSRCH 0. -0.199494392 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.560261965 *** contribution from regularisation: 0.00301182736 *** contribution from error: -0.563273787 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55466.492 -0.199494392 -11.2904148 EXIT FROM BFGS code NEW_X -55466.492 -0.199494392 -11.2904148 ENTER BFGS code NEW_X -55466.492 -0.199494392 -11.2904148 EXIT FROM BFGS code FG_LNSRCH 0. -0.198982805 0. --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.560325682 *** contribution from regularisation: 0.00305696856 *** contribution from error: -0.563382626 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55472.8002 -0.198982805 -15.1469946 EXIT FROM BFGS code NEW_X -55472.8002 -0.198982805 -15.1469946 ENTER BFGS code NEW_X -55472.8002 -0.198982805 -15.1469946 EXIT FROM BFGS code FG_LNSRCH 0. -0.213606209 0. --------------------------------------------------- Iteration : 26 *********************************************** *** Learn Path 26 *** loss function: -0.56054157 *** contribution from regularisation: 0.00299955416 *** contribution from error: -0.563541114 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55494.1765 -0.213606209 9.75146675 EXIT FROM BFGS code NEW_X -55494.1765 -0.213606209 9.75146675 ENTER BFGS code NEW_X -55494.1765 -0.213606209 9.75146675 EXIT FROM BFGS code FG_LNSRCH 0. -0.271622896 0. --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.561055005 *** contribution from regularisation: 0.00297259237 *** contribution from error: -0.564027607 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55545.009 -0.271622896 -4.85600805 EXIT FROM BFGS code NEW_X -55545.009 -0.271622896 -4.85600805 ENTER BFGS code NEW_X -55545.009 -0.271622896 -4.85600805 EXIT FROM BFGS code FG_LNSRCH 0. -0.454217464 0. --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.559092879 *** contribution from regularisation: 0.00310381502 *** contribution from error: -0.562196672 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55350.7536 -0.454217464 513.880615 EXIT FROM BFGS code FG_LNSRCH 0. -0.314327657 0. --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.561014712 *** contribution from regularisation: 0.00322707207 *** contribution from error: -0.564241767 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55541.0178 -0.314327657 85.5694275 EXIT FROM BFGS code FG_LNSRCH 0. -0.281847149 0. --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 73.9641647 sigma out 15 active outputs RANK 2 NODE 1 --> 47.8355865 sigma out 15 active outputs RANK 3 NODE 5 --> 40.1738777 sigma out 15 active outputs RANK 4 NODE 10 --> 37.5374832 sigma out 15 active outputs RANK 5 NODE 4 --> 35.8041153 sigma out 15 active outputs RANK 6 NODE 8 --> 26.6443443 sigma out 15 active outputs RANK 7 NODE 9 --> 25.1964817 sigma out 15 active outputs RANK 8 NODE 11 --> 16.537878 sigma out 15 active outputs RANK 9 NODE 3 --> 14.5844965 sigma out 15 active outputs RANK 10 NODE 6 --> 14.4911509 sigma out 15 active outputs RANK 11 NODE 7 --> 10.1947441 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 82.9884796 sigma in 11act. ( 72.7040253 sig out 1act.) RANK 2 NODE 1 --> 42.6562424 sigma in 11act. ( 47.4647789 sig out 1act.) RANK 3 NODE 14 --> 41.6828613 sigma in 11act. ( 52.1602631 sig out 1act.) RANK 4 NODE 2 --> 27.1730671 sigma in 11act. ( 31.5121899 sig out 1act.) RANK 5 NODE 11 --> 27.0468559 sigma in 11act. ( 27.1973991 sig out 1act.) RANK 6 NODE 3 --> 24.9186268 sigma in 11act. ( 22.7795849 sig out 1act.) RANK 7 NODE 8 --> 20.8624172 sigma in 11act. ( 20.4428253 sig out 1act.) RANK 8 NODE 13 --> 18.6347713 sigma in 11act. ( 19.2400074 sig out 1act.) RANK 9 NODE 6 --> 16.8964386 sigma in 11act. ( 20.6489658 sig out 1act.) RANK 10 NODE 15 --> 14.9900961 sigma in 11act. ( 15.3346004 sig out 1act.) RANK 11 NODE 12 --> 13.0816298 sigma in 11act. ( 13.8169498 sig out 1act.) RANK 12 NODE 7 --> 11.8517618 sigma in 11act. ( 11.0506678 sig out 1act.) RANK 13 NODE 9 --> 6.51239395 sigma in 11act. ( 5.31397963 sig out 1act.) RANK 14 NODE 4 --> 4.14683247 sigma in 11act. ( 1.92326391 sig out 1act.) RANK 15 NODE 10 --> 3.15590906 sigma in 11act. ( 1.59206057 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 72.7040253 sigma out 1act.( 82.9884796 sig in 11act.) RANK 2 NODE 14 --> 52.1602631 sigma out 1act.( 41.6828613 sig in 11act.) RANK 3 NODE 1 --> 47.4647789 sigma out 1act.( 42.6562424 sig in 11act.) RANK 4 NODE 2 --> 31.5121899 sigma out 1act.( 27.1730671 sig in 11act.) RANK 5 NODE 11 --> 27.1973991 sigma out 1act.( 27.0468559 sig in 11act.) RANK 6 NODE 3 --> 22.7795849 sigma out 1act.( 24.9186268 sig in 11act.) RANK 7 NODE 6 --> 20.6489658 sigma out 1act.( 16.8964386 sig in 11act.) RANK 8 NODE 8 --> 20.4428253 sigma out 1act.( 20.8624172 sig in 11act.) RANK 9 NODE 13 --> 19.2400074 sigma out 1act.( 18.6347713 sig in 11act.) RANK 10 NODE 15 --> 15.3346004 sigma out 1act.( 14.9900961 sig in 11act.) RANK 11 NODE 12 --> 13.8169498 sigma out 1act.( 13.0816298 sig in 11act.) RANK 12 NODE 7 --> 11.0506678 sigma out 1act.( 11.8517618 sig in 11act.) RANK 13 NODE 9 --> 5.31397963 sigma out 1act.( 6.51239395 sig in 11act.) RANK 14 NODE 4 --> 1.92326391 sigma out 1act.( 4.14683247 sig in 11act.) RANK 15 NODE 10 --> 1.59206057 sigma out 1act.( 3.15590906 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 119.616943 sigma in 15 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.560964942 *** contribution from regularisation: 0.00313797873 *** contribution from error: -0.564102948 *********************************************** -----------------> Test sample Iteration No: 30 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -55536.0916 -0.281847149 14.8103638 EXIT FROM BFGS code FG_LNSRCH 0. -0.272548229 0. --------------------------------------------------- Iteration : 31 *********************************************** *** Learn Path 31 *** loss function: -0.560925603 *** contribution from regularisation: 0.00310906582 *** contribution from error: -0.564034641 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55532.1964 -0.272548229 -3.22742057 EXIT FROM BFGS code FG_LNSRCH 0. -0.271631539 0. --------------------------------------------------- Iteration : 32 *********************************************** *** Learn Path 32 *** loss function: -0.5609321 *** contribution from regularisation: 0.00309558422 *** contribution from error: -0.564027667 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55532.8384 -0.271631539 -4.96454668 EXIT FROM BFGS code FG_LNSRCH 0. -0.271622896 0. --------------------------------------------------- Iteration : 33 *********************************************** *** Learn Path 33 *** loss function: -0.560940325 *** contribution from regularisation: 0.00308730407 *** contribution from error: -0.564027607 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55533.6525 -0.271622896 -4.98417091 EXIT FROM BFGS code FG_LNSRCH 0. -0.271622896 0. --------------------------------------------------- Iteration : 34 *********************************************** *** Learn Path 34 *** loss function: -0.560934782 *** contribution from regularisation: 0.00309286057 *** contribution from error: -0.564027667 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55533.1024 -0.271622896 -5.00561619 EXIT FROM BFGS code FG_LNSRCH 0. -0.271622896 0. --------------------------------------------------- Iteration : 35 *********************************************** *** Learn Path 35 *** loss function: -0.560942471 *** contribution from regularisation: 0.00308515574 *** contribution from error: -0.564027607 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55533.8651 -0.271622896 -5.0067687 EXIT FROM BFGS code FG_LNSRCH 0. -0.271622896 0. --------------------------------------------------- Iteration : 36 *********************************************** *** Learn Path 36 *** loss function: -0.560928941 *** contribution from regularisation: 0.00309865386 *** contribution from error: -0.564027607 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -55532.5288 -0.271622896 -5.01827908 EXIT FROM BFGS code NEW_X -55532.5288 -0.271622896 -5.01827908 ENTER BFGS code NEW_X -55532.5288 -0.271622896 -5.01827908 EXIT FROM BFGS code CONVERGENC -55532.5288 -0.271622896 -5.01827908 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 2 --> 107.764442 sigma out 15 active outputs RANK 2 NODE 1 --> 71.1665955 sigma out 15 active outputs RANK 3 NODE 5 --> 58.1984825 sigma out 15 active outputs RANK 4 NODE 10 --> 53.9123955 sigma out 15 active outputs RANK 5 NODE 4 --> 53.0823593 sigma out 15 active outputs RANK 6 NODE 8 --> 37.8700714 sigma out 15 active outputs RANK 7 NODE 9 --> 36.3380547 sigma out 15 active outputs RANK 8 NODE 11 --> 24.474184 sigma out 15 active outputs RANK 9 NODE 3 --> 21.4740162 sigma out 15 active outputs RANK 10 NODE 6 --> 21.3020153 sigma out 15 active outputs RANK 11 NODE 7 --> 14.2290201 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 5 --> 122.234749 sigma in 11act. ( 105.669205 sig out 1act.) RANK 2 NODE 1 --> 62.0147934 sigma in 11act. ( 69.8718643 sig out 1act.) RANK 3 NODE 14 --> 61.0056725 sigma in 11act. ( 75.4144058 sig out 1act.) RANK 4 NODE 2 --> 39.5553055 sigma in 11act. ( 44.4552155 sig out 1act.) RANK 5 NODE 11 --> 39.3499374 sigma in 11act. ( 38.6842957 sig out 1act.) RANK 6 NODE 3 --> 36.0928955 sigma in 11act. ( 32.7668686 sig out 1act.) RANK 7 NODE 8 --> 29.5070534 sigma in 11act. ( 29.2840958 sig out 1act.) RANK 8 NODE 13 --> 26.4295158 sigma in 11act. ( 28.3340244 sig out 1act.) RANK 9 NODE 6 --> 24.1441383 sigma in 11act. ( 29.1098366 sig out 1act.) RANK 10 NODE 15 --> 21.5721073 sigma in 11act. ( 22.3316574 sig out 1act.) RANK 11 NODE 12 --> 18.4629364 sigma in 11act. ( 19.6108608 sig out 1act.) RANK 12 NODE 7 --> 16.3880177 sigma in 11act. ( 16.3216381 sig out 1act.) RANK 13 NODE 9 --> 8.39792538 sigma in 11act. ( 7.49568605 sig out 1act.) RANK 14 NODE 4 --> 4.89703369 sigma in 11act. ( 3.02685595 sig out 1act.) RANK 15 NODE 10 --> 3.75916958 sigma in 11act. ( 2.27160764 sig out 1act.) sorted by output significance RANK 1 NODE 5 --> 105.669205 sigma out 1act.( 122.234749 sig in 11act.) RANK 2 NODE 14 --> 75.4144058 sigma out 1act.( 61.0056725 sig in 11act.) RANK 3 NODE 1 --> 69.8718643 sigma out 1act.( 62.0147934 sig in 11act.) RANK 4 NODE 2 --> 44.4552155 sigma out 1act.( 39.5553055 sig in 11act.) RANK 5 NODE 11 --> 38.6842957 sigma out 1act.( 39.3499374 sig in 11act.) RANK 6 NODE 3 --> 32.7668686 sigma out 1act.( 36.0928955 sig in 11act.) RANK 7 NODE 8 --> 29.2840958 sigma out 1act.( 29.5070534 sig in 11act.) RANK 8 NODE 6 --> 29.1098366 sigma out 1act.( 24.1441383 sig in 11act.) RANK 9 NODE 13 --> 28.3340244 sigma out 1act.( 26.4295158 sig in 11act.) RANK 10 NODE 15 --> 22.3316574 sigma out 1act.( 21.5721073 sig in 11act.) RANK 11 NODE 12 --> 19.6108608 sigma out 1act.( 18.4629364 sig in 11act.) RANK 12 NODE 7 --> 16.3216381 sigma out 1act.( 16.3880177 sig in 11act.) RANK 13 NODE 9 --> 7.49568605 sigma out 1act.( 8.39792538 sig in 11act.) RANK 14 NODE 4 --> 3.02685595 sigma out 1act.( 4.89703369 sig in 11act.) RANK 15 NODE 10 --> 2.27160764 sigma out 1act.( 3.75916958 sig in 11act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 173.233231 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.560929537 *** contribution from regularisation: 0.00309810531 *** contribution from error: -0.564027667 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 29164 Closing output file done