NNInput NNInputs_180.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= 76400 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 = 17710 nbkg = 58690 Bkg Entries: 58690 Sig Entries: 17710 Chosen entries: 17710 Signal fraction: 1 Background fraction: 0.301755 Signal Tree Copy Condition: Background Tree Copy Condition: Actual Background Entries: 58690 Actual Signal Entries: 17710 Entries to split: 17710 Test with : 8855 Train with : 8855 ********************************************* * 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= 17710 for Signal Prepared event 0 for Signal with 17710 events ====Entry 0 Variable Ht : 181.988 Variable LepAPt : 36.3125 Variable LepBPt : 33.3263 Variable MetSigLeptonsJets : 8.50337 Variable MetSpec : 84.1215 Variable SumEtLeptonsJets : 97.8662 Variable VSumJetLeptonsPt : 93.7481 Variable addEt : 153.761 Variable dPhiLepSumMet : 2.8992 Variable dPhiLeptons : 0.358494 Variable dRLeptons : 0.375835 Variable lep1_E : 49.7842 Variable lep2_E : 42.4469 ===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 = 2180 Ht = 181.988 IsMEBase = 0 LRHWW = 0 LRWW = 0 LRWg = 0 LRWj = 0 LRZZ = 0 LepAEt = 36.3125 LepAPt = 36.3125 LepBEt = 33.3264 LepBPt = 33.3263 LessCentralJetEta = 0 MJ1Lep1 = 0 MJ1Lep2 = 0 MJ2Lep1 = 0 MJ2Lep2 = 0 NN = 0 Met = 84.1215 MetDelPhi = 2.72772 MetSig = 7.11556 MetSigLeptonsJets = 8.50337 MetSpec = 84.1215 Mjj = 0 MostCentralJetEta = -2.14636 MtllMet = 165.707 Njets = 1 SB = 0 SumEt = 139.764 SumEtJets = 0 SumEtLeptonsJets = 97.8662 Target = 1 TrainWeight = 1 VSum2JetLeptonsPt = 0 VSum2JetPt = 0 VSumJetLeptonsPt = 93.7481 addEt = 153.761 dPhiLepSumMet = 2.8992 dPhiLeptons = 0.358494 dRLeptons = 0.375835 diltype = 49 dimass = 13.013 event = 182 jet1_Et = 28.2274 jet1_eta = 0 jet2_Et = 0 jet2_eta = 0 lep1_E = 49.7842 lep2_E = 42.4469 rand = 0.999742 run = 167139 weight = 3.11806e-06 ===Show End Prepared event 10000 for Signal with 17710 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 = 0.879102 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 1926 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 76400 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 1926 negative weights. Signal fraction: 63.4681931 % ------------------------------ 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 49.0932808 60.484211 63.8112259 66.0084457 67.5675201 68.6932983 69.7798309 70.7353973 71.7377701 72.8328171 73.5670547 74.1073761 74.8268661 75.3997421 76.0917664 76.8446121 77.2867126 78.0517654 78.6018219 79.2610931 79.9736557 80.7670975 81.6040955 82.4131927 83.1054764 84.0840454 85.1255951 86.0593262 87.5242233 88.9330444 90.6655197 92.3830566 94.4384613 96.4653625 98.5386353 100.575401 102.518173 103.849136 105.742081 107.727859 109.212456 111.18605 113.314819 114.995972 116.734634 118.978622 120.632278 122.288254 124.109207 125.870087 127.748856 129.185608 130.837006 132.554901 134.111923 135.645782 137.08194 138.461639 139.80365 141.372665 142.899414 144.598602 146.101013 147.943863 149.6073 150.96669 152.489471 154.068756 155.57962 157.205032 158.772552 160.606232 162.206238 164.146973 165.924957 167.414642 169.742905 171.643982 173.745056 175.724274 177.96727 180.402832 182.851013 185.709976 188.632904 191.598846 194.968063 199.032227 202.50058 206.110199 209.813995 214.897461 219.950592 226.058014 231.615601 239.953629 249.710464 265.009033 285.969238 322.582703 819.677795 ------------------------------ Transdef: Tab for variable 3 20.0001068 20.3192749 20.6715927 20.9716568 21.1943474 21.3832951 21.5711708 21.7834854 21.972662 22.19561 22.4779854 22.6919632 22.9740372 23.1832657 23.367733 23.5837364 23.7880058 24.0312519 24.2322388 24.477953 24.7377625 24.974369 25.1850357 25.4204369 25.6874771 25.9200859 26.1190262 26.3734512 26.6172657 26.9716206 27.2431488 27.5257568 27.7924576 28.071804 28.3316689 28.6474609 28.9579124 29.1741867 29.4551754 29.736042 30.0548553 30.4668007 30.8007679 31.2003269 31.5974293 31.9026756 32.2485542 32.5660553 32.8682327 33.2832451 33.6346092 33.9754143 34.3364182 34.7106323 35.1002731 35.4350548 35.8678131 36.2948151 36.6728668 37.0805283 37.5230026 37.9069214 38.3176079 38.7611656 39.2272682 39.6098862 40.0317841 40.4190979 40.8366394 41.2924004 41.8131332 42.3204651 42.7873611 43.2966461 43.7826347 44.2638092 44.8519821 45.39534 46.0598526 46.5958824 47.2258301 47.8689575 48.5181541 49.2163887 49.9261513 50.7225151 51.5932503 52.4534073 53.2953453 54.014946 54.9682465 56.1709175 57.3131256 58.5814819 60.0652695 61.7148361 63.517128 66.138092 69.9140472 77.1623535 161.377716 ------------------------------ Transdef: Tab for variable 4 10.0006914 10.1231613 10.2815943 10.4627686 10.6031799 10.7258663 10.8800316 11.0235672 11.140667 11.2894917 11.4368181 11.5790348 11.7347374 11.8779163 12.0279636 12.1617546 12.3250084 12.4751053 12.6457663 12.8171167 12.9688568 13.1311646 13.343606 13.5110493 13.6776981 13.9383926 14.123455 14.259738 14.3901625 14.5842113 14.7906599 15.0674992 15.3112297 15.5688505 15.8754215 16.1005001 16.3845215 16.5973206 16.8516712 17.0687027 17.3623447 17.6130524 17.8514709 18.0976257 18.3711433 18.6272125 18.8649979 19.0834332 19.3269768 19.6526756 19.9686699 20.2036648 20.4493122 20.6841698 20.9351215 21.2097168 21.4727459 21.7407131 22.0153503 22.2992287 22.5818748 22.8683109 23.1121979 23.3882561 23.666256 23.9345779 24.1960831 24.4824905 24.7674332 25.0264893 25.3176327 25.563015 25.8328094 26.0980377 26.4112091 26.7354126 27.0773544 27.398037 27.7209244 28.0579567 28.3370152 28.6629105 29.0158501 29.3787212 29.7388077 30.0644455 30.4474621 30.8947582 31.3247337 31.8535385 32.3286247 32.8723717 33.4120712 34.146122 34.9171257 35.8588638 36.9220963 38.4032211 40.196106 43.8997765 70.516655 ------------------------------ Transdef: Tab for variable 5 1.08851385 2.30782461 2.72241259 3.06151605 3.29333687 3.53223991 3.70135021 3.87920189 4.0584259 4.1809783 4.3148222 4.46253395 4.59057093 4.68552256 4.79615879 4.9084363 5.00267696 5.09265614 5.17644358 5.24103689 5.31122398 5.3867588 5.43800735 5.48138857 5.52719688 5.58335972 5.64992142 5.70533133 5.7616663 5.8127718 5.8618021 5.90407753 5.94454241 6.00348139 6.03658104 6.07992554 6.12491226 6.16599274 6.20444489 6.24953651 6.28654337 6.33304453 6.38557243 6.42298698 6.47338963 6.51058769 6.54479599 6.59773445 6.64252663 6.68317795 6.74029446 6.78076553 6.82993031 6.87411118 6.91641617 6.96895742 7.01547432 7.07984161 7.13995743 7.19291639 7.24941444 7.31374836 7.37327862 7.43696165 7.49406481 7.56011486 7.61653948 7.68283272 7.74384689 7.80621862 7.87409878 7.9319911 7.99994755 8.06700897 8.12989044 8.19417572 8.27109337 8.34567261 8.40472221 8.47102642 8.54175186 8.6087656 8.67852783 8.74979305 8.83323097 8.90956306 8.99646568 9.0906477 9.17806244 9.27278137 9.37648201 9.48472786 9.61349869 9.73930931 9.91247559 10.1050282 10.3041067 10.5928802 11.0534134 11.7249832 19.7064457 ------------------------------ Transdef: Tab for variable 6 15.0050735 17.1639042 19.259243 21.1237984 23.1179581 24.9971485 26.3760414 27.6003819 28.8188705 29.7664337 30.5825768 31.4121361 32.0779495 32.7323647 33.3002739 33.7734413 34.3205109 34.6982155 35.0971222 35.5728531 35.8989983 36.3620262 36.7358475 37.1255264 37.4650497 37.8011856 38.196907 38.5351944 38.8853607 39.2323685 39.5758743 39.8851089 40.2870789 40.6801186 41.0727196 41.5020828 42.020607 42.6037025 43.0847473 43.477356 44.0428467 44.7594757 45.3902283 45.9641151 46.8701096 47.6400604 48.3022079 49.0395126 49.914917 50.5867424 51.363308 52.101532 53.0069427 53.8463821 54.7422943 55.6563339 56.6402626 57.5236588 58.4286652 59.2442627 60.1114273 60.9649887 61.7307129 62.6193161 63.4368896 64.2950516 65.1618958 65.8786697 66.7142181 67.5803986 68.3564911 69.116539 69.9533539 70.7239227 71.6210175 72.414093 73.2018814 74.1503601 75.151947 75.9304047 76.8202515 77.7537384 78.7049942 79.6688232 80.6968842 81.7260132 82.7951508 84.0184326 85.2048187 86.5039368 88.191391 89.7926178 91.8291016 93.9448624 96.9757309 100.331055 104.138588 108.700928 115.58696 129.026855 311.985382 ------------------------------ Transdef: Tab for variable 7 30.1199875 32.2390137 33.2507324 33.9744987 34.5760345 35.2007256 35.6311188 36.0983086 36.4682159 36.8600845 37.240242 37.5077286 37.8695831 38.1720123 38.5580902 38.9313583 39.2742157 39.5085831 39.741539 40.1912384 40.5860748 40.9266548 41.3601608 41.8471451 42.2355499 42.8462715 43.5722427 44.2445374 44.9959488 45.9645767 47.0551872 48.0885544 49.1945114 50.4585266 51.5948944 52.6567116 53.8399811 54.9325867 55.9867134 57.1172409 58.2492676 59.1926041 60.3435898 61.2128601 62.0834885 62.986351 63.8130417 64.6771851 65.6565018 66.6293793 67.5286331 68.4910431 69.2216797 70.059906 70.9031754 71.9023438 72.8402481 73.7792664 74.6424866 75.4088593 76.4244919 77.4428406 78.5090332 79.60849 80.572464 81.7053986 82.9579926 84.0339813 85.1889038 86.4327393 87.9599609 89.4717865 90.9874878 92.5954895 93.9151764 95.6116562 97.1084442 98.6164932 100.315933 101.851845 103.699081 105.794296 107.885361 110.035065 112.38707 114.58931 117.382515 120.368271 123.336296 126.725174 130.509399 135.579132 140.036499 145.855865 152.114655 159.207672 167.233124 178.226349 194.178955 219.909698 523.715759 ------------------------------ Transdef: Tab for variable 8 2.55010867 21.2630272 26.6310158 29.79179 31.2116737 32.0619507 32.8506088 33.3199768 33.7325211 34.1758728 34.7352066 35.0811615 35.3569565 35.7905731 36.0882072 36.3908691 36.7294693 37.0426559 37.2828064 37.568325 37.906868 38.2581711 38.5580406 38.8711243 39.1846085 39.4631119 39.6776657 40.0340271 40.2810593 40.5261002 40.9639511 41.3822746 41.811264 42.1498413 42.6704178 43.1535034 43.7098236 44.2109909 44.8199463 45.5917625 46.2550507 47.0077591 47.7339287 48.4863091 49.2093811 50.0808678 50.8183899 51.4999504 52.2460175 53.0901985 53.8928452 54.675354 55.3682022 56.1116257 56.9533844 57.7004356 58.4473839 59.21772 59.9626617 60.6441116 61.3893204 62.123024 62.8172913 63.5042801 64.1811829 64.9246674 65.7498322 66.3965607 67.1462097 67.8185425 68.5174866 69.3010559 69.9512482 70.7539978 71.503479 72.2815857 72.9907303 73.7049255 74.4983292 75.3620605 76.1207352 76.963913 77.8494263 78.8022919 79.7793884 80.8407135 81.8804169 82.9836884 84.207489 85.5431595 87.0506897 88.7829285 90.7039261 92.9012527 95.2520752 98.7112732 102.665009 107.101303 115.164597 131.681595 363.290375 ------------------------------ Transdef: Tab for variable 9 49.0932808 59.3710327 62.480938 64.5588989 66.1436157 67.5933762 68.61586 69.7474365 70.5132294 71.4538879 72.3512955 73.262764 73.8045044 74.3968582 74.9722137 75.519455 76.0981445 76.7517242 77.2263947 77.8080444 78.3891983 78.8435287 79.4701538 80.0791626 80.753273 81.4048615 82.0418396 82.6688995 83.4758682 84.1500092 84.9956055 85.6205978 86.552063 87.9892578 88.9905014 90.3474884 91.6152344 92.8154144 94.5869522 96.286438 98.0202484 99.6203003 101.228775 102.74913 104.222092 105.674194 107.483963 108.861816 110.385208 112.055023 113.554344 115.138657 116.34623 117.864822 119.339478 120.677734 122.215538 123.733238 124.861282 126.309219 127.772118 128.947495 130.181732 131.511292 132.728485 133.941345 135.2827 136.437317 137.577484 138.771011 139.861877 141.011551 142.206238 143.420959 144.556137 145.735214 146.929474 148.197784 149.426666 150.381958 151.661774 152.76207 154.052216 155.168198 156.556763 158.075806 159.362335 160.811646 162.114319 163.744202 165.297211 166.867844 168.677246 171.049042 173.582977 176.273697 179.46344 183.984329 191.881592 208.914749 418.615662 ------------------------------ Transdef: Tab for variable 10 0.0054489444 1.04136491 1.3588289 1.56507134 1.73075294 1.86621726 1.96272302 2.05118322 2.13523197 2.20484805 2.25564003 2.30930471 2.35746908 2.39119744 2.429883 2.47368526 2.50898886 2.5350008 2.56032991 2.58581448 2.61079979 2.63178635 2.65631413 2.6775322 2.69524765 2.71467113 2.73123789 2.75056076 2.76693916 2.78422093 2.79790211 2.8113811 2.82632685 2.8380518 2.85078812 2.86147881 2.87463403 2.88406944 2.89415073 2.90150595 2.90992022 2.91948438 2.9276371 2.93475986 2.94083691 2.94855976 2.95564032 2.96274376 2.9696207 2.97465467 2.98039246 2.9852252 2.99081087 2.99683619 3.00160933 3.00616741 3.01128674 3.01531982 3.01902533 3.02351618 3.02709913 3.03110695 3.03446078 3.03791046 3.04237032 3.04583025 3.04938054 3.05345631 3.05677128 3.06027651 3.06365228 3.06708574 3.07041693 3.07301211 3.07613659 3.07861185 3.081249 3.08360052 3.08660316 3.08887863 3.09172869 3.09460497 3.09711552 3.09972954 3.10214281 3.10480475 3.10704684 3.10975695 3.1124146 3.11537457 3.11790657 3.11976957 3.12258387 3.12521482 3.12741041 3.12940335 3.13146067 3.13412285 3.13666964 3.13898277 3.1415906 ------------------------------ Transdef: Tab for variable 11 3.24249268E-05 0.00551426411 0.0103887348 0.014864373 0.0203384757 0.0267421603 0.0337824821 0.0411023498 0.0469791889 0.0522892475 0.0581347942 0.0642312765 0.0716780424 0.0792040229 0.0853633881 0.0919574499 0.0968924388 0.103881896 0.109179258 0.115120471 0.12130338 0.128144771 0.133965135 0.139287144 0.144672036 0.150035143 0.15629223 0.162312031 0.168149769 0.173601091 0.178982496 0.18342185 0.188133031 0.193307877 0.197042823 0.20142436 0.205106497 0.209169269 0.214317799 0.219228417 0.223524094 0.227105379 0.231533468 0.235481441 0.239573002 0.244568408 0.249492645 0.253439188 0.257885545 0.261836767 0.266281605 0.270685673 0.275153756 0.278949261 0.284371138 0.288818479 0.294086337 0.298521817 0.3024441 0.307162046 0.313479066 0.317559779 0.32265377 0.326737821 0.332345843 0.336658359 0.341582805 0.348205656 0.353923678 0.358488321 0.364290237 0.370478749 0.378420115 0.38476634 0.391715944 0.397267938 0.403504729 0.41244483 0.419635534 0.4267416 0.434247673 0.442340612 0.451544195 0.460052609 0.468911767 0.479521573 0.490217209 0.503664911 0.513989449 0.52788341 0.539563298 0.55391854 0.571862638 0.592002153 0.616352677 0.637411118 0.664078951 0.696582317 0.746778786 0.819269896 1.11372733 ------------------------------ Transdef: Tab for variable 12 0.20003137 0.206328765 0.212068528 0.218154758 0.223947138 0.228891924 0.233072177 0.237737432 0.243190646 0.247604981 0.252525091 0.256909281 0.261997133 0.266322285 0.270310014 0.273872793 0.278253019 0.282833368 0.287221402 0.29126054 0.295901299 0.299919903 0.304163337 0.308620751 0.313482761 0.316738248 0.321670026 0.325626671 0.329382718 0.333731771 0.337498277 0.341614038 0.345924795 0.349897355 0.353485525 0.35815239 0.362409085 0.366322875 0.370847791 0.375663459 0.379356444 0.383836985 0.388594806 0.392295718 0.396707416 0.400537372 0.403973639 0.407779306 0.411305189 0.415226758 0.419442415 0.423937201 0.428233087 0.431805849 0.435663104 0.440318763 0.444179684 0.448470354 0.452728242 0.458191574 0.46317327 0.466560811 0.47128284 0.475427657 0.48099035 0.485654145 0.491199791 0.497748792 0.502473116 0.508575439 0.513538241 0.519835591 0.525886357 0.531442642 0.539350629 0.546489954 0.554112554 0.559686899 0.5670017 0.575751066 0.583124757 0.589350462 0.598919809 0.607403517 0.61737144 0.626567125 0.635411501 0.644756913 0.656622648 0.668913424 0.680204868 0.698143482 0.711445332 0.730401635 0.748681903 0.766035795 0.787202716 0.814082026 0.847379804 0.897046804 1.13539624 ------------------------------ Transdef: Tab for variable 13 20.0075798 21.4040966 22.2295551 22.9205761 23.4495487 23.8125038 24.2420464 24.7335796 25.1346798 25.5805588 25.9566326 26.2760162 26.6501331 27.1119461 27.4278488 27.770195 28.164608 28.4827995 28.8611603 29.1449089 29.5344353 29.9547844 30.2981033 30.6118622 30.886879 31.2860909 31.6089783 31.8962536 32.2384186 32.6285019 32.9825363 33.2948265 33.689682 34.0512657 34.4189377 34.8146858 35.2242966 35.5113373 35.8604279 36.1711922 36.6126556 37.0573883 37.4817963 37.8944855 38.2422028 38.661171 39.1009827 39.5441666 39.9681778 40.4003983 40.9114456 41.3679581 41.7900505 42.1676483 42.6002121 43.0653572 43.5606155 44.0241356 44.4205475 44.8626595 45.2852745 45.7751007 46.2685242 46.7798882 47.3556671 47.896347 48.4228096 48.9494095 49.4579926 49.8836136 50.4663544 51.1146355 51.7075653 52.2841415 52.9518661 53.6829491 54.2871094 55.0516891 55.7818794 56.4211197 57.1454048 58.0152512 58.8971329 59.8009338 60.7146072 61.7742767 62.8945503 63.9472961 64.9849701 66.4337311 67.6023026 69.0055389 70.7673492 72.8614197 74.7592773 77.7562332 80.9269714 85.0362244 90.2763977 100.339386 232.717926 ------------------------------ Transdef: Tab for variable 14 10.0028534 10.7310295 11.1108418 11.4159832 11.8024235 12.0997486 12.3989468 12.6922817 12.9528465 13.2128134 13.5114784 13.7810097 14.0015182 14.25422 14.5039701 14.7456074 14.9514771 15.1829357 15.4730682 15.7225695 15.9921665 16.3285561 16.6107979 16.8560963 17.1797371 17.4514771 17.8075981 18.0457993 18.3839989 18.60606 18.9180565 19.124754 19.3988953 19.7223129 19.9965897 20.3317413 20.6348476 20.9371071 21.219738 21.4845963 21.7803078 22.0350704 22.2907982 22.6306 22.9174767 23.2433739 23.4436493 23.7230816 24.0215034 24.299654 24.5781536 24.9285603 25.2046852 25.500145 25.7758904 26.0852928 26.3708763 26.6106262 26.928978 27.1969738 27.5086212 27.8117104 28.0932732 28.3813496 28.7043037 28.9346809 29.2111473 29.5480556 29.8603001 30.1798553 30.484951 30.7934666 31.1061592 31.3836327 31.7329063 32.0677795 32.4437599 32.7759666 33.1931229 33.6225281 34.002182 34.4610634 34.9051666 35.4265022 35.9536819 36.4875717 37.04319 37.5992966 38.2818298 38.9373093 39.7620773 40.6117172 41.5374985 42.5704727 43.6765709 45.0635376 46.7942505 49.3360748 52.5400887 59.042099 115.518631 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 68.4 57.2 55.2 30.7 48.4 66.5 57.4 66.0 -27.4 -10.9 -27.7 40.5 40.5 2 68.4 100.0 71.9 62.4 38.0 66.7 94.5 75.2 91.4 -42.8 -18.0 -38.0 55.0 47.5 3 57.2 71.9 100.0 51.7 18.2 39.7 73.6 59.0 77.3 -16.2 -21.3 -45.8 80.2 38.2 4 55.2 62.4 51.7 100.0 17.7 36.5 63.3 51.7 66.1 -14.1 -23.6 -48.0 40.5 83.0 5 30.7 38.0 18.2 17.7 100.0 85.7 10.3 63.9 60.6 26.3 -5.5 -10.0 9.3 10.4 6 48.4 66.7 39.7 36.5 85.7 100.0 45.1 81.4 79.0 -2.2 -10.4 -21.6 26.9 25.6 7 66.5 94.5 73.6 63.3 10.3 45.1 100.0 64.1 79.4 -53.2 -17.4 -37.9 58.0 49.6 8 57.4 75.2 59.0 51.7 63.9 81.4 64.1 100.0 85.0 -7.5 -17.6 -33.1 44.4 39.1 9 66.0 91.4 77.3 66.1 60.6 79.0 79.4 85.0 100.0 -17.1 -20.9 -43.1 59.3 50.3 10 -27.4 -42.8 -16.2 -14.1 26.3 -2.2 -53.2 -7.5 -17.1 100.0 2.3 5.3 -12.9 -11.4 11 -10.9 -18.0 -21.3 -23.6 -5.5 -10.4 -17.4 -17.6 -20.9 2.3 100.0 52.2 -14.9 -19.3 12 -27.7 -38.0 -45.8 -48.0 -10.0 -21.6 -37.9 -33.1 -43.1 5.3 52.2 100.0 -31.0 -31.2 13 40.5 55.0 80.2 40.5 9.3 26.9 58.0 44.4 59.3 -12.9 -14.9 -31.0 100.0 51.0 14 40.5 47.5 38.2 83.0 10.4 25.6 49.6 39.1 50.3 -11.4 -19.3 -31.2 51.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 176.848063 TOTAL CORRELATION OF ALL VARIABLES 74.3367206 ROUND 1: MAX CORR ( 74.3343437) AFTER KILLING INPUT VARIABLE 2 CONTR 0.594455453 ROUND 2: MAX CORR ( 74.3228237) AFTER KILLING INPUT VARIABLE 6 CONTR 1.30863661 ROUND 3: MAX CORR ( 74.3074062) AFTER KILLING INPUT VARIABLE 14 CONTR 1.5137724 ROUND 4: MAX CORR ( 74.2766489) AFTER KILLING INPUT VARIABLE 8 CONTR 2.1377665 ROUND 5: MAX CORR ( 74.2475766) AFTER KILLING INPUT VARIABLE 11 CONTR 2.07796791 ROUND 6: MAX CORR ( 74.0449357) AFTER KILLING INPUT VARIABLE 12 CONTR 5.48179965 ROUND 7: MAX CORR ( 73.8331498) AFTER KILLING INPUT VARIABLE 13 CONTR 5.59629228 ROUND 8: MAX CORR ( 73.571564) AFTER KILLING INPUT VARIABLE 10 CONTR 6.20958821 ROUND 9: MAX CORR ( 72.3698631) AFTER KILLING INPUT VARIABLE 9 CONTR 13.2430337 ROUND 10: MAX CORR ( 71.9695652) AFTER KILLING INPUT VARIABLE 3 CONTR 7.60123447 ROUND 11: MAX CORR ( 70.6750998) AFTER KILLING INPUT VARIABLE 4 CONTR 13.5885463 ROUND 12: MAX CORR ( 66.4888363) AFTER KILLING INPUT VARIABLE 5 CONTR 23.9625621 LAST REMAINING VARIABLE: 7 total correlation to target: 74.3367206 % total significance: 87.7604399 sigma correlations of single variables to target: variable 2: 68.4376004 % , in sigma: 80.796057 variable 3: 57.2328211 % , in sigma: 67.5679195 variable 4: 55.1960879 % , in sigma: 65.1633932 variable 5: 30.6828302 % , in sigma: 36.2235333 variable 6: 48.4484377 % , in sigma: 57.1972528 variable 7: 66.4888363 % , in sigma: 78.4953852 variable 8: 57.3870003 % , in sigma: 67.7499403 variable 9: 65.9875494 % , in sigma: 77.903576 variable 10: -27.3564096 % , in sigma: 32.2964279 variable 11: -10.8642265 % , in sigma: 12.8260877 variable 12: -27.6764331 % , in sigma: 32.6742413 variable 13: 40.4616143 % , in sigma: 47.7681695 variable 14: 40.5304747 % , in sigma: 47.8494646 variables sorted by significance: 1 most relevant variable 7 corr 66.4888382 , in sigma: 78.4953875 2 most relevant variable 5 corr 23.9625626 , in sigma: 28.2897203 3 most relevant variable 4 corr 13.5885468 , in sigma: 16.0423655 4 most relevant variable 3 corr 7.60123444 , in sigma: 8.97386476 5 most relevant variable 9 corr 13.2430334 , in sigma: 15.6344594 6 most relevant variable 10 corr 6.20958805 , in sigma: 7.33091498 7 most relevant variable 13 corr 5.5962925 , in sigma: 6.60687056 8 most relevant variable 12 corr 5.4817996 , in sigma: 6.47170255 9 most relevant variable 11 corr 2.07796788 , in sigma: 2.45320716 10 most relevant variable 8 corr 2.1377666 , in sigma: 2.52380433 11 most relevant variable 14 corr 1.51377237 , in sigma: 1.78712927 12 most relevant variable 6 corr 1.30863667 , in sigma: 1.54495017 13 most relevant variable 2 corr 0.594455481 , in sigma: 0.701802205 global correlations between input variables: variable 2: 99.2437051 % variable 3: 94.2311304 % variable 4: 92.9352326 % variable 5: 95.5565147 % variable 6: 94.4621575 % variable 7: 98.9366276 % variable 8: 90.5688527 % variable 9: 98.7373948 % variable 10: 72.8746425 % variable 11: 53.2531779 % variable 12: 68.6788672 % variable 13: 88.8563388 % variable 14: 90.6380845 % significance loss when removing single variables: variable 2: corr = 0.594455453 % , sigma = 0.701802173 variable 3: corr = 14.1000896 % , sigma = 16.6462826 variable 4: corr = 12.6799522 % , sigma = 14.969697 variable 5: corr = 15.6024297 % , sigma = 18.4199152 variable 6: corr = 1.40346036 % , sigma = 1.65689712 variable 7: corr = 8.41790914 % , sigma = 9.93801452 variable 8: corr = 2.50220081 % , sigma = 2.95404804 variable 9: corr = 10.3409438 % , sigma = 12.2083107 variable 10: corr = 6.44828428 % , sigma = 7.61271495 variable 11: corr = 2.04706991 % , sigma = 2.41672964 variable 12: corr = 4.06530472 % , sigma = 4.79941713 variable 13: corr = 3.86166094 % , sigma = 4.55899937 variable 14: corr = 1.49960202 % , sigma = 1.77040003 Keep only 8 most significant input variables ------------------------------------- Teacher: actual network topology: Nodes(1) = 9 Nodes(2) = 15 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 24.2842979 sigma out 15 active outputs RANK 2 NODE 8 --> 13.7260008 sigma out 15 active outputs RANK 3 NODE 5 --> 13.1426363 sigma out 15 active outputs RANK 4 NODE 3 --> 12.3598375 sigma out 15 active outputs RANK 5 NODE 4 --> 11.9395399 sigma out 15 active outputs RANK 6 NODE 6 --> 8.92349148 sigma out 15 active outputs RANK 7 NODE 7 --> 8.35058308 sigma out 15 active outputs RANK 8 NODE 2 --> 7.96902943 sigma out 15 active outputs RANK 9 NODE 9 --> 6.78175163 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 17.442091 sigma in 9act. ( 18.4649563 sig out 1act.) RANK 2 NODE 6 --> 17.075243 sigma in 9act. ( 17.5681286 sig out 1act.) RANK 3 NODE 10 --> 15.0229111 sigma in 9act. ( 15.2986231 sig out 1act.) RANK 4 NODE 9 --> 13.8357067 sigma in 9act. ( 13.3782301 sig out 1act.) RANK 5 NODE 1 --> 13.8172579 sigma in 9act. ( 15.3148146 sig out 1act.) RANK 6 NODE 2 --> 13.6066847 sigma in 9act. ( 13.4596148 sig out 1act.) RANK 7 NODE 13 --> 5.81556463 sigma in 9act. ( 5.67397118 sig out 1act.) RANK 8 NODE 8 --> 4.40731668 sigma in 9act. ( 3.23787212 sig out 1act.) RANK 9 NODE 11 --> 3.89999366 sigma in 9act. ( 3.91770005 sig out 1act.) RANK 10 NODE 5 --> 3.76770711 sigma in 9act. ( 2.20662498 sig out 1act.) RANK 11 NODE 3 --> 3.59063697 sigma in 9act. ( 2.03610158 sig out 1act.) RANK 12 NODE 15 --> 2.62211418 sigma in 9act. ( 2.1471498 sig out 1act.) RANK 13 NODE 12 --> 2.42055249 sigma in 9act. ( 2.01728582 sig out 1act.) RANK 14 NODE 7 --> 2.12005925 sigma in 9act. ( 2.20475268 sig out 1act.) RANK 15 NODE 4 --> 1.8164475 sigma in 9act. ( 2.14790893 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 18.4649563 sigma out 1act.( 17.442091 sig in 9act.) RANK 2 NODE 6 --> 17.5681286 sigma out 1act.( 17.075243 sig in 9act.) RANK 3 NODE 1 --> 15.3148146 sigma out 1act.( 13.8172579 sig in 9act.) RANK 4 NODE 10 --> 15.2986231 sigma out 1act.( 15.0229111 sig in 9act.) RANK 5 NODE 2 --> 13.4596148 sigma out 1act.( 13.6066847 sig in 9act.) RANK 6 NODE 9 --> 13.3782301 sigma out 1act.( 13.8357067 sig in 9act.) RANK 7 NODE 13 --> 5.67397118 sigma out 1act.( 5.81556463 sig in 9act.) RANK 8 NODE 11 --> 3.91770005 sigma out 1act.( 3.89999366 sig in 9act.) RANK 9 NODE 8 --> 3.23787212 sigma out 1act.( 4.40731668 sig in 9act.) RANK 10 NODE 5 --> 2.20662498 sigma out 1act.( 3.76770711 sig in 9act.) RANK 11 NODE 7 --> 2.20475268 sigma out 1act.( 2.12005925 sig in 9act.) RANK 12 NODE 4 --> 2.14790893 sigma out 1act.( 1.8164475 sig in 9act.) RANK 13 NODE 15 --> 2.1471498 sigma out 1act.( 2.62211418 sig in 9act.) RANK 14 NODE 3 --> 2.03610158 sigma out 1act.( 3.59063697 sig in 9act.) RANK 15 NODE 12 --> 2.01728582 sigma out 1act.( 2.42055249 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 39.5413551 sigma in 15 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 23.1564903 sigma out 15 active outputs RANK 2 NODE 5 --> 18.5103645 sigma out 15 active outputs RANK 3 NODE 8 --> 14.8293552 sigma out 15 active outputs RANK 4 NODE 3 --> 12.9102106 sigma out 15 active outputs RANK 5 NODE 4 --> 12.0282125 sigma out 15 active outputs RANK 6 NODE 6 --> 9.85050106 sigma out 15 active outputs RANK 7 NODE 2 --> 9.65921593 sigma out 15 active outputs RANK 8 NODE 7 --> 9.53160763 sigma out 15 active outputs RANK 9 NODE 9 --> 8.52698803 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 14 --> 17.3657265 sigma in 9act. ( 17.6278553 sig out 1act.) RANK 2 NODE 6 --> 15.4204206 sigma in 9act. ( 16.3477631 sig out 1act.) RANK 3 NODE 10 --> 14.8191195 sigma in 9act. ( 14.122777 sig out 1act.) RANK 4 NODE 2 --> 13.5760241 sigma in 9act. ( 13.4553509 sig out 1act.) RANK 5 NODE 1 --> 13.1034651 sigma in 9act. ( 13.2187767 sig out 1act.) RANK 6 NODE 7 --> 12.1311216 sigma in 9act. ( 5.13307905 sig out 1act.) RANK 7 NODE 9 --> 11.7894583 sigma in 9act. ( 11.7098446 sig out 1act.) RANK 8 NODE 4 --> 9.20040703 sigma in 9act. ( 3.30790281 sig out 1act.) RANK 9 NODE 13 --> 7.57785416 sigma in 9act. ( 5.57881212 sig out 1act.) RANK 10 NODE 15 --> 7.55524588 sigma in 9act. ( 2.35100842 sig out 1act.) RANK 11 NODE 3 --> 6.68290329 sigma in 9act. ( 1.60433698 sig out 1act.) RANK 12 NODE 5 --> 6.47742367 sigma in 9act. ( 1.52866197 sig out 1act.) RANK 13 NODE 8 --> 6.03543568 sigma in 9act. ( 2.32171845 sig out 1act.) RANK 14 NODE 12 --> 5.40151453 sigma in 9act. ( 1.93346155 sig out 1act.) RANK 15 NODE 11 --> 3.39247704 sigma in 9act. ( 2.74260569 sig out 1act.) sorted by output significance RANK 1 NODE 14 --> 17.6278553 sigma out 1act.( 17.3657265 sig in 9act.) RANK 2 NODE 6 --> 16.3477631 sigma out 1act.( 15.4204206 sig in 9act.) RANK 3 NODE 10 --> 14.122777 sigma out 1act.( 14.8191195 sig in 9act.) RANK 4 NODE 2 --> 13.4553509 sigma out 1act.( 13.5760241 sig in 9act.) RANK 5 NODE 1 --> 13.2187767 sigma out 1act.( 13.1034651 sig in 9act.) RANK 6 NODE 9 --> 11.7098446 sigma out 1act.( 11.7894583 sig in 9act.) RANK 7 NODE 13 --> 5.57881212 sigma out 1act.( 7.57785416 sig in 9act.) RANK 8 NODE 7 --> 5.13307905 sigma out 1act.( 12.1311216 sig in 9act.) RANK 9 NODE 4 --> 3.30790281 sigma out 1act.( 9.20040703 sig in 9act.) RANK 10 NODE 11 --> 2.74260569 sigma out 1act.( 3.39247704 sig in 9act.) RANK 11 NODE 15 --> 2.35100842 sigma out 1act.( 7.55524588 sig in 9act.) RANK 12 NODE 8 --> 2.32171845 sigma out 1act.( 6.03543568 sig in 9act.) RANK 13 NODE 12 --> 1.93346155 sigma out 1act.( 5.40151453 sig in 9act.) RANK 14 NODE 3 --> 1.60433698 sigma out 1act.( 6.68290329 sig in 9act.) RANK 15 NODE 5 --> 1.52866197 sigma out 1act.( 6.47742367 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 36.9573936 sigma in 15 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.43529588 *** contribution from regularisation: 0.00802072976 *** contribution from error: -0.443316609 *********************************************** -----------------> Test sample --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.493936598 *** contribution from regularisation: 0.0041578277 *** contribution from error: -0.49809444 *********************************************** -----------------> Test sample ENTER BFGS code START -18872.1983 -0.0936398134 0. EXIT FROM BFGS code FG_START 0. -0.0936398134 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.521218181 *** contribution from regularisation: 0.00397304725 *** contribution from error: -0.525191247 *********************************************** -----------------> Test sample ENTER BFGS code FG_START -19910.5344 -0.0936398134 -51.5962715 EXIT FROM BFGS code FG_LNSRCH 0. -0.113145836 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.571790159 *** contribution from regularisation: 0.00496217236 *** contribution from error: -0.576752305 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21842.384 -0.113145836 -19.4854183 EXIT FROM BFGS code NEW_X -21842.384 -0.113145836 -19.4854183 ENTER BFGS code NEW_X -21842.384 -0.113145836 -19.4854183 EXIT FROM BFGS code FG_LNSRCH 0. -0.123490117 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.575520515 *** contribution from regularisation: 0.00526297279 *** contribution from error: -0.580783486 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21984.8827 -0.123490117 -14.9649582 EXIT FROM BFGS code NEW_X -21984.8827 -0.123490117 -14.9649582 ENTER BFGS code NEW_X -21984.8827 -0.123490117 -14.9649582 EXIT FROM BFGS code FG_LNSRCH 0. -0.139907211 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.577275217 *** contribution from regularisation: 0.00511669088 *** contribution from error: -0.582391918 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22051.9138 -0.139907211 -2.97115064 EXIT FROM BFGS code NEW_X -22051.9138 -0.139907211 -2.97115064 ENTER BFGS code NEW_X -22051.9138 -0.139907211 -2.97115064 EXIT FROM BFGS code FG_LNSRCH 0. -0.145714432 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.578073978 *** contribution from regularisation: 0.00490535796 *** contribution from error: -0.582979321 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22082.4261 -0.145714432 1.71373975 EXIT FROM BFGS code NEW_X -22082.4261 -0.145714432 1.71373975 ENTER BFGS code NEW_X -22082.4261 -0.145714432 1.71373975 EXIT FROM BFGS code FG_LNSRCH 0. -0.146806508 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.57814908 *** contribution from regularisation: 0.00491205882 *** contribution from error: -0.583061159 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22085.2952 -0.146806508 15.5177755 EXIT FROM BFGS code NEW_X -22085.2952 -0.146806508 15.5177755 ENTER BFGS code NEW_X -22085.2952 -0.146806508 15.5177755 EXIT FROM BFGS code FG_LNSRCH 0. -0.11534629 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.578976274 *** contribution from regularisation: 0.00400283094 *** contribution from error: -0.582979083 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22116.8927 -0.11534629 41.488739 EXIT FROM BFGS code NEW_X -22116.8927 -0.11534629 41.488739 ENTER BFGS code NEW_X -22116.8927 -0.11534629 41.488739 EXIT FROM BFGS code FG_LNSRCH 0. 0.0328129046 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 21.5899467 sigma out 15 active outputs RANK 2 NODE 5 --> 17.7883167 sigma out 15 active outputs RANK 3 NODE 8 --> 11.8743677 sigma out 15 active outputs RANK 4 NODE 3 --> 10.0416574 sigma out 15 active outputs RANK 5 NODE 4 --> 9.85747433 sigma out 15 active outputs RANK 6 NODE 9 --> 9.73852921 sigma out 15 active outputs RANK 7 NODE 6 --> 8.82452965 sigma out 15 active outputs RANK 8 NODE 2 --> 8.72635651 sigma out 15 active outputs RANK 9 NODE 7 --> 7.67024279 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 24.2883015 sigma in 9act. ( 21.8498211 sig out 1act.) RANK 2 NODE 4 --> 18.2612038 sigma in 9act. ( 16.3269596 sig out 1act.) RANK 3 NODE 10 --> 10.9087648 sigma in 9act. ( 10.1040421 sig out 1act.) RANK 4 NODE 2 --> 10.7831125 sigma in 9act. ( 9.19472885 sig out 1act.) RANK 5 NODE 14 --> 10.1815681 sigma in 9act. ( 9.49395466 sig out 1act.) RANK 6 NODE 15 --> 8.4648571 sigma in 9act. ( 8.45934582 sig out 1act.) RANK 7 NODE 13 --> 5.89311981 sigma in 9act. ( 4.8174448 sig out 1act.) RANK 8 NODE 12 --> 3.93747067 sigma in 9act. ( 3.67649841 sig out 1act.) RANK 9 NODE 1 --> 3.56695747 sigma in 9act. ( 2.46707797 sig out 1act.) RANK 10 NODE 9 --> 3.39423227 sigma in 9act. ( 2.24074173 sig out 1act.) RANK 11 NODE 6 --> 3.34180593 sigma in 9act. ( 1.96884263 sig out 1act.) RANK 12 NODE 11 --> 2.33838582 sigma in 9act. ( 1.7950989 sig out 1act.) RANK 13 NODE 3 --> 1.26433432 sigma in 9act. ( 0.466032565 sig out 1act.) RANK 14 NODE 5 --> 1.17167413 sigma in 9act. ( 0.683204174 sig out 1act.) RANK 15 NODE 8 --> 1.0848341 sigma in 9act. ( 0.342891484 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 21.8498211 sigma out 1act.( 24.2883015 sig in 9act.) RANK 2 NODE 4 --> 16.3269596 sigma out 1act.( 18.2612038 sig in 9act.) RANK 3 NODE 10 --> 10.1040421 sigma out 1act.( 10.9087648 sig in 9act.) RANK 4 NODE 14 --> 9.49395466 sigma out 1act.( 10.1815681 sig in 9act.) RANK 5 NODE 2 --> 9.19472885 sigma out 1act.( 10.7831125 sig in 9act.) RANK 6 NODE 15 --> 8.45934582 sigma out 1act.( 8.4648571 sig in 9act.) RANK 7 NODE 13 --> 4.8174448 sigma out 1act.( 5.89311981 sig in 9act.) RANK 8 NODE 12 --> 3.67649841 sigma out 1act.( 3.93747067 sig in 9act.) RANK 9 NODE 1 --> 2.46707797 sigma out 1act.( 3.56695747 sig in 9act.) RANK 10 NODE 9 --> 2.24074173 sigma out 1act.( 3.39423227 sig in 9act.) RANK 11 NODE 6 --> 1.96884263 sigma out 1act.( 3.34180593 sig in 9act.) RANK 12 NODE 11 --> 1.7950989 sigma out 1act.( 2.33838582 sig in 9act.) RANK 13 NODE 5 --> 0.683204174 sigma out 1act.( 1.17167413 sig in 9act.) RANK 14 NODE 3 --> 0.466032565 sigma out 1act.( 1.26433432 sig in 9act.) RANK 15 NODE 8 --> 0.342891484 sigma out 1act.( 1.0848341 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 33.8828392 sigma in 15 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.569810092 *** contribution from regularisation: 0.00298784277 *** contribution from error: -0.572797954 *********************************************** -----------------> Test sample Iteration No: 10 ********************************************** ***** write out current network **** ***** to "rescue.nb" **** ********************************************** SAVING EXPERTISE TO rescue.nb ENTER BFGS code FG_LNSRCH -21766.7454 0.0328129046 94.9412918 EXIT FROM BFGS code FG_LNSRCH 0. -0.0924214348 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.574039459 *** contribution from regularisation: 0.00880501699 *** contribution from error: -0.582844496 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -21928.3081 -0.0924214348 46.8084106 EXIT FROM BFGS code FG_LNSRCH 0. -0.114921741 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.578475296 *** contribution from regularisation: 0.00450252369 *** contribution from error: -0.582977831 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22097.7566 -0.114921741 41.1872635 EXIT FROM BFGS code FG_LNSRCH 0. -0.11534477 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.578030169 *** contribution from regularisation: 0.00494887587 *** contribution from error: -0.582979023 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22080.7536 -0.11534477 41.4044685 EXIT FROM BFGS code FG_LNSRCH 0. -0.11534629 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.578153491 *** contribution from regularisation: 0.004825613 *** contribution from error: -0.582979083 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22085.4624 -0.11534629 41.4151573 EXIT FROM BFGS code FG_LNSRCH 0. -0.11534629 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.57808429 *** contribution from regularisation: 0.00489480561 *** contribution from error: -0.582979083 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22082.8192 -0.11534629 41.397995 EXIT FROM BFGS code FG_LNSRCH 0. -0.11534629 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.578115821 *** contribution from regularisation: 0.00486325845 *** contribution from error: -0.582979083 *********************************************** -----------------> Test sample ENTER BFGS code FG_LNSRCH -22084.0243 -0.11534629 41.3704605 EXIT FROM BFGS code NEW_X -22084.0243 -0.11534629 41.3704605 ENTER BFGS code NEW_X -22084.0243 -0.11534629 41.3704605 EXIT FROM BFGS code CONVERGENC -22084.0243 -0.11534629 41.3704605 --------------------------------------------------- Iteration : 250 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 5 --> 39.3553162 sigma out 15 active outputs RANK 2 NODE 1 --> 28.5953426 sigma out 15 active outputs RANK 3 NODE 9 --> 15.9700117 sigma out 15 active outputs RANK 4 NODE 3 --> 14.7678766 sigma out 15 active outputs RANK 5 NODE 6 --> 14.2385073 sigma out 15 active outputs RANK 6 NODE 7 --> 12.7893524 sigma out 15 active outputs RANK 7 NODE 2 --> 12.7342176 sigma out 15 active outputs RANK 8 NODE 8 --> 12.0895033 sigma out 15 active outputs RANK 9 NODE 4 --> 9.65203285 sigma out 15 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 7 --> 37.5903053 sigma in 9act. ( 31.2920513 sig out 1act.) RANK 2 NODE 4 --> 26.4050827 sigma in 9act. ( 21.8551617 sig out 1act.) RANK 3 NODE 14 --> 19.5845165 sigma in 9act. ( 13.9708185 sig out 1act.) RANK 4 NODE 10 --> 17.0154724 sigma in 9act. ( 16.286232 sig out 1act.) RANK 5 NODE 15 --> 15.6520863 sigma in 9act. ( 13.7318935 sig out 1act.) RANK 6 NODE 2 --> 14.0151606 sigma in 9act. ( 13.8787203 sig out 1act.) RANK 7 NODE 13 --> 10.6591921 sigma in 9act. ( 9.33778763 sig out 1act.) RANK 8 NODE 6 --> 7.80161858 sigma in 9act. ( 8.27476692 sig out 1act.) RANK 9 NODE 12 --> 7.35748053 sigma in 9act. ( 6.60666037 sig out 1act.) RANK 10 NODE 1 --> 7.01503277 sigma in 9act. ( 6.19372654 sig out 1act.) RANK 11 NODE 9 --> 6.03921223 sigma in 9act. ( 5.54437256 sig out 1act.) RANK 12 NODE 11 --> 4.39427423 sigma in 9act. ( 3.42177892 sig out 1act.) RANK 13 NODE 3 --> 4.25073814 sigma in 9act. ( 0.962300062 sig out 1act.) RANK 14 NODE 5 --> 4.23175383 sigma in 9act. ( 1.48217118 sig out 1act.) RANK 15 NODE 8 --> 3.62078214 sigma in 9act. ( 0.797852039 sig out 1act.) sorted by output significance RANK 1 NODE 7 --> 31.2920513 sigma out 1act.( 37.5903053 sig in 9act.) RANK 2 NODE 4 --> 21.8551617 sigma out 1act.( 26.4050827 sig in 9act.) RANK 3 NODE 10 --> 16.286232 sigma out 1act.( 17.0154724 sig in 9act.) RANK 4 NODE 14 --> 13.9708185 sigma out 1act.( 19.5845165 sig in 9act.) RANK 5 NODE 2 --> 13.8787203 sigma out 1act.( 14.0151606 sig in 9act.) RANK 6 NODE 15 --> 13.7318935 sigma out 1act.( 15.6520863 sig in 9act.) RANK 7 NODE 13 --> 9.33778763 sigma out 1act.( 10.6591921 sig in 9act.) RANK 8 NODE 6 --> 8.27476692 sigma out 1act.( 7.80161858 sig in 9act.) RANK 9 NODE 12 --> 6.60666037 sigma out 1act.( 7.35748053 sig in 9act.) RANK 10 NODE 1 --> 6.19372654 sigma out 1act.( 7.01503277 sig in 9act.) RANK 11 NODE 9 --> 5.54437256 sigma out 1act.( 6.03921223 sig in 9act.) RANK 12 NODE 11 --> 3.42177892 sigma out 1act.( 4.39427423 sig in 9act.) RANK 13 NODE 5 --> 1.48217118 sigma out 1act.( 4.23175383 sig in 9act.) RANK 14 NODE 3 --> 0.962300062 sigma out 1act.( 4.25073814 sig in 9act.) RANK 15 NODE 8 --> 0.797852039 sigma out 1act.( 3.62078214 sig in 9act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 50.8166695 sigma in 15 active inputs *********************************************** *** Learn Path 250 *** loss function: -0.578184247 *** contribution from regularisation: 0.00479484349 *** contribution from error: -0.582979083 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE SAVING EXPERTISE TO expert.nb NB_AHISTOUT: storage space 25010 Closing output file done