Training in /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/GlobalPID_Proton_Upstream_ANN.txt Training parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/train-config.txt Input Data file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/datafiles.txt Neurobayes parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/NB.txt Training Host = lxplus431.cern.ch Particle type = proton Background types = all Training Mix = NaturalMix Track type = Upstream Track PresSel = TrackPreSelNone Network type = NeuroBayes Ghost treatment = Ghosts Ghosts Min P = 0 MeV/c Min Pt = 0 MeV/c Max Chi^2 = 10 Min likelihood = -100 Max Ghost Prob = 1 Output file = GlobalPID_Proton_Upstream_NeuroBayes.conf Skipping input #RichUsedR2Gas Skipping input #RichAboveElThres Skipping input #RichAboveMuThres Training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.1.root Evaluation ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.2.root Training sample size = 1000000 Evaluation sample size = 5000000 Node layer two scale = 1.2 Input layer has 24 nodes, hidden layer has 27 nodes NB_DEF_TASK = CLA NB_DEF_LEARNDIAG = 1 NB_DEF_MOM = 0 NB_DEF_SHAPE = DIAG NB_DEF_REG = ALL NB_DEF_LOSS = ENTROPY NB_DEF_METHOD = BFGS NB_DEF_PRE = 612 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 24 Your number of nodes in the hidden layer is: 27 Your number of nodes in the output layer is: 1 You want to do classification You want to fix prepro shape to 6. order (DIA) and transform each node to diagonal You want to use fit alternative 2 for diag fit You use ASR+ARD for regularisation You use entropy as a loss function You want to use the BFGS algorithm You want to include the deviation from the diagonal in the error function You want to use the global preprocessing flag 612 You use momentum: 0. Input 2 NumProtoParticles PreproFlag 19 Input 3 TrackP PreproFlag 34 Input 4 TrackPt PreproFlag 34 Input 5 TrackChi2PerDof PreproFlag 14 Input 6 TrackNumDof PreproFlag 19 Input 7 TrackLikelihood PreproFlag 34 Input 8 TrackGhostProbability PreproFlag 34 Input 9 TrackCloneDist PreproFlag 34 Input 10 TrackFitVeloChi2 PreproFlag 14 Input 11 TrackFitVeloNDoF PreproFlag 19 Input 12 RichUsedAero PreproFlag 18 Input 13 RichUsedR1Gas PreproFlag 18 Input 14 RichAbovePiThres PreproFlag 18 Input 15 RichAboveKaThres PreproFlag 18 Input 16 RichAbovePrThres PreproFlag 18 Input 17 RichDLLe PreproFlag 34 Input 18 RichDLLmu PreproFlag 34 Input 19 RichDLLk PreproFlag 34 Input 20 RichDLLp PreproFlag 34 Input 21 RichDLLbt PreproFlag 34 Input 22 InAccBrem PreproFlag 19 Input 23 BremPIDe PreproFlag 34 Input 24 VeloCharge PreproFlag 34 Attempting to open training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.1.root Found 9821527 training data points Read entry 982152 (9.99999%) Read entry 1964304 (20%) Read entry 2946456 (30%) Read entry 3928608 (40%) Read entry 4910760 (50%) Considered 5157981 tracks for input to NN training Sel. Eff. = 19.3874% Selected 1000000 tracks for input to NN training ghost percentage = 29.8513% electron percentage = 5.7412% muon percentage = 0.3947% pion percentage = 53.654% kaon percentage = 7.2871% proton percentage = 2.972% Unknown Particle type 3112 percentage = 0.034% Unknown Particle type 3222 percentage = 0.0368% Unknown Particle type 3312 percentage = 0.0106% Unknown Particle type 3334 percentage = 0.0002% Unknown Particle type 1000010020 percentage = 0.0022% Unknown Particle type 1000010030 percentage = 0.0027% Unknown Particle type 1000020040 percentage = 0.0132% Starting Training. << 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 20101206 Library compiled with: NB_MAXPATTERN= 1500000 NB_MAXNODE = 100 ----------------------------------- found 1000000 samples to learn from preprocessing flags/parameters: global preprocessing flag: 612 individual preprocessing: variable # 2 : PreproFlag = 19 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 3 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 4 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 5 : PreproFlag = 14 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 6 : PreproFlag = 19 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 7 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 8 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 9 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 10 : PreproFlag = 14 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 11 : PreproFlag = 19 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 12 : PreproFlag = 18 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 13 : PreproFlag = 18 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 14 : PreproFlag = 18 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 15 : PreproFlag = 18 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 16 : PreproFlag = 18 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 17 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 18 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 19 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 20 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 21 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 22 : PreproFlag = 19 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 23 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. variable # 24 : PreproFlag = 34 parameter # 1 = 0. parameter # 2 = 0. parameter # 3 = 0. parameter # 4 = 0. parameter # 5 = 0. parameter # 6 = 0. parameter # 7 = 0. parameter # 8 = 0. parameter # 9 = 0. parameter # 10 = 0. Using weight factor: 1. 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 ************************************ Signal fraction: 2.97200012 % ------------------------------ 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 1. 15. 19. 22. 24. 26. 28. 29. 31. 32. 33. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. 51. 52. 53. 54. 55. 56. 57. 57. 58. 59. 60. 61. 62. 63. 64. 64. 65. 66. 67. 68. 69. 70. 71. 71. 72. 73. 74. 75. 76. 77. 78. 79. 80. 81. 82. 83. 84. 85. 86. 87. 89. 90. 91. 92. 93. 94. 96. 97. 98. 100. 101. 103. 105. 106. 108. 110. 112. 114. 116. 118. 120. 122. 125. 128. 131. 135. 139. 143. 149. 156. 166. 185. 435. build map for variable # 2 NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 269. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 270. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 271. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 272. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 273. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 289. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 290. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 293. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 295. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 296. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 297. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 298. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 299. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 304. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 306. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 307. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 321. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 325. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 332. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 334. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 336. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 341. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 344. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 348. Unregularised mean is returned ------------------------------ Transdef: Tab for variable 3 58.6800003 526.964966 582.929993 624.14502 659.039978 689.890015 717.734985 743.580017 767.85498 791.130005 813.005005 834.52002 855.859985 877.090027 897.47998 917.97998 938.150024 957.97998 977.710022 997.299988 1016.90002 1036.09998 1055.46997 1075.06494 1094.125 1113.66003 1133.13 1152.55005 1172.44495 1192.25 1212.39502 1232.21997 1252.12 1272.83997 1293.53003 1314.68994 1336.13501 1358.13 1379.84998 1402.13 1424.75 1447.83496 1471.32996 1494.93005 1519.16504 1544.03003 1569.44495 1595.39001 1621.94995 1649.13 1676.45996 1704.39502 1733.60999 1762.84998 1793.63 1825.67004 1858.46997 1892.60498 1927.60999 1963.31006 2001.34998 2040.73999 2081.45996 2124.59009 2169.40479 2216.13989 2265.23999 2317.6001 2372.59009 2429.91504 2491.26514 2556.35498 2627.18994 warning: map is empty for variable 3 2703.18506 2785.25 2874.46997 2971.0249 3077.20996 3195.15991 3323.94482 3467.06494 3627.28003 3811.34009 4023.66992 4262.90527 4539.01465 4869.84961 5245.74512 5693.2251 6233.31006 6872.29492 7639.93018 8567.9043 9715.32031 11142.3799 12968.9551 15317.1445 18586.1191 23868.3008 35725.0898 4692808.5 do regularised spline fit for input variable # 3 build map for variable # 3 warning: map is empty for variable 3 ------------------------------ Transdef: Tab for variable 4 1.45295644 19.3934059 25.3477707 30.1382904 34.2951813 38.1772003 41.9015388 45.4908142 48.9934883 52.4974442 55.9440079 59.3997345 62.8485031 66.2592163 69.7468719 73.2395935 76.7373734 80.2802124 83.8269348 87.5004578 91.1254883 94.8316345 98.5134659 102.279778 106.026756 109.853912 113.706299 117.644081 121.591629 125.535828 129.517426 133.560669 137.703049 141.799759 145.982788 150.112701 154.281693 158.562851 162.899628 167.300323 171.733383 176.26315 warning: map is empty for variable 4 3 180.781097 185.398346 189.994873 194.691589 199.40947 204.35379 209.242905 214.269867 219.270737 224.448425 229.760284 235.16861 240.721542 246.347656 252.108826 258.002838 264.039368 270.239502 276.633423 283.083374 289.865417 296.841492 303.998108 311.487488 319.014496 326.853302 334.950439 343.4245 352.102783 361.125885 370.403503 380.069366 390.229675 400.551086 411.276886 422.919617 434.943298 447.665527 460.898163 474.911987 489.594849 505.222137 522.138367 540.735962 561.385498 583.817932 608.402222 635.688477 666.849121 703.005554 745.67804 796.140137 857.432007 936.390625 1043.1709 1201.73962 1480.29688 2219.48828 931746. do regularised spline fit for input variable # 4 build map for variable # 4 warning: map is empty for variable 4 ------------------------------ Transdef: Tab for variable 5 0.000662988052 0.152839929 0.203686476 0.240665868 0.271108627 0.297576845 0.321139932 0.342989981 0.363142431 0.38201052 0.400266111 0.417636245 0.434204996 0.45043847 0.465809822 0.481027007 0.495504409 0.509832144 0.523718119 0.537498593 0.551041842 0.564308703 0.577589393 0.590498149 0.603327155 0.616021276 0.628406644 0.64092797 0.653259099 0.665487409 0.677571416 0.68986392 0.701986551 0.714215994 0.726419568 0.738408625 0.750482798 0.7626369 0.775019288 0.787216425 0.799287558 0.811548829 0.823842883 0.83643949 0.849035144 0.861620069 0.874264598 0.887014687 0.899848938 0.912823796 0.925958991 0.939238667 0.952646613 0.966296792 0.980124354 0.994074643 1.0081265 1.02298927 1.03754759 1.05248284 1.06766546 1.08311367 1.09858537 1.11504781 1.13179445 1.14856505 1.16602111 1.18362594 1.20189011 1.2207979 1.24029779 1.26006699 1.2803154 1.30189562 1.32405949 1.34664226 1.37063026 1.39514434 1.42136955 1.44852018 1.47651124 1.50653172 1.53833199 1.57157934 1.60700893 1.64536262 1.68640733 1.73054361 1.77903533 1.83228445 1.89035368 1.95603466 2.02998638 2.11498404 2.21407986 2.33385372 2.48102522 2.67263293 2.95052814 3.42529511 9.98801994 do regularised spline fit for input variable # 5 ------------------------------ Transdef: Tab for variable 6 2. 4. 4. 4. 5. 5. 5. 5. 5. 5. 6. 6. 6. 6. 6. 6. 6. 6. 7. 7. 7. 7. 7. 7. 7. 7. 7. 7. 7. 7. 8. 8. 8. 8. 8. 8. 8. 8. 8. 8. 8. 9. 9. 9. 9. 9. 9. 9. 9. 9. 9. 9. 9. 9. 10. 10. 10. 10. 10. 10. 10. 10. 11. 11. 11. 11. 11. 11. 11. 11. 11. 12. 12. 12. 12. 12. 12. 12. 13. 13. 13. 13. 13. 13. 13. 13. 14. 14. 14. 14. 15. 15. 15. 15. 15. 16. 16. 17. 17. 19. 30. build map for variable # 6 ------------------------------ Transdef: Tab for variable 7 -99.5388565 -25.5917397 -20.3738194 -16.9280586 -14.5050735 -12.898694 -11.7588348 -10.8874807 -10.168745 -9.58856869 -9.11158466 -8.69907379 -8.32406044 -8.01462936 -7.72290802 -7.4423461 -7.17818069 -6.93169308 -6.70651388 -6.49788952 -6.30237484 -6.12085104 -5.95661211 -5.80187607 -5.66029739 -5.52217579 -5.39269304 -5.26939774 -5.14696932 -5.02559662 -4.9030962 -4.78962421 -4.6887579 -4.59555626 -4.50984764 -4.43039417 -4.34941292 -4.27063513 -4.19269943 -4.11699295 -4.02809429 -3.93248248 -3.83104038 -3.73201656 -3.63536978 -3.54303432 -3.45526505 -3.3669889 -3.27805567 -3.19002104 -3.10676765 -3.02966213 -2.95746064 -2.88847399 -2.82544255 -2.76322269 -2.70335674 -2.645432 -2.58731651 -2.5303216 -2.47511363 -2.42334628 -2.37433195 -2.32739758 -2.28196526 -2.2393477 -2.19768381 -2.15798378 -2.11808109 -2.07847738 -2.03896856 -2.00104499 -1.96020019 -1.91894674 -1.87837577 -1.83652568 -1.79638314 -1.75624144 -1.71523309 -1.67589569 -1.63526523 -1.5956707 -1.55775928 -1.51949501 -1.4838748 -1.44980121 -1.41464043 -1.3814559 -1.34957325 -1.31693387 -1.28284359 -1.25121057 -1.2192204 -1.18295693 -1.1474328 -1.11260426 -1.07128084 -1.03257203 -0.983424306 -0.916359782 -0.268890202 do regularised spline fit for input variable warning: map is empty for variable 7 # 7 build map for variable # 7 warning: map is empty for variable 7 ------------------------------ Transdef: Tab for variable 8 0.0250362772 0.0670026019 0.0751922578 0.0807324946 0.0850630254 0.088824302 0.0921570808 0.0951310098 0.0978628993 0.10035339 0.102686852 0.104881182 0.106976822 0.109046713 0.110999376 0.112929873 0.114774853 0.116585106 0.118355013 0.120131269 0.121865556 0.123562887 0.125249386 0.126929998 0.128605157 0.130312085 0.132007688 0.133701116 0.135374054 0.137079254 0.138811365 0.140541777 0.142251164 0.144033283 0.145845443 0.147710875 0.149555504 0.151458085 0.153424591 0.155377969 0.157449126 0.15954341 0.161737382 0.164012104 0.166354775 0.168782145 0.171368644 0.174049258 0.17685698 0.17979525 0.182892621 0.18616493 0.189709157 0.193414837 0.197473109 0.201811731 0.206559032 0.211705536 0.217353255 0.223552644 0.230388105 0.237917691 0.246039703 0.254933 0.264446199 0.274248183 0.284248233 0.294 warning: map is empty for variable 8 195056 0.303867757 0.313237488 0.32230103 0.331067026 0.339505434 0.347644329 0.355792642 0.363818526 0.371784568 0.379935205 0.388080984 0.396359682 0.404852688 0.413651526 0.42268765 0.432419121 0.442879677 0.453706712 0.465693653 0.478866756 0.492860496 0.508566082 0.525378883 0.542761564 0.561311841 0.582660496 0.605876446 0.631032109 0.659291208 0.69334352 0.735185027 0.797511578 0.999990344 do regularised spline fit for input variable # 8 build map for variable # 8 warning: map is empty for variable 8 ------------------------------ Transdef: Tab for variable 9 0.00384638784 2.44956112 4.93080807 7.63105202 10.2911015 13.4466286 16.9693794 20.7407417 24.9398918 29.3135166 33.7895317 38.7562981 44.1361084 50.0816002 56.251976 62.8267517 69.5960236 76.9210281 84.596405 92.7889404 101.088371 109.322426 118.493729 129.184113 138.631302 149.966873 161.794235 175.202408 187.168884 201.347687 216.187408 231.591446 247.734955 264.299438 282.654358 302.614471 321.987427 343.926147 366.567261 391.580353 419.051971 447.703491 480.097595 511.45224 544.345703 581.968628 623.151855 665.371338 709.811646 757.967407 809.292603 859.644653 910.575439 968.691162 1027.67554 1084.48877 1144.34521 1199.39575 1256.05103 1315.13379 1378.12109 1444.48938 1510.59619 1568.03784 1628.50488 1692.84131 1758.29468 1822.92334 1891.43335 1956.26196 2027.95288 2103.3335 2180.72241 2263.74561 2346.71094 2427.62622 2507.83057 2595.4165 2681.7373 2764.61914 2850.90454 2944.33691 3039.31494 3130.99805 3221.84766 3321.71143 3422.53589 3526.71924 3627.00146 3730.59424 3840.04346 3951.31763 4061.24219 4176.86719 4289.4541 4400.81201 4523.82129 4638.2998 4753.42871 4877.31055 4999.66064 do regularised spline fit for input variable # 9 build map for variable # 9 ------------------------------ Transdef: Tab for variable 10 1.12030714E-08 0.106300414 0.223134041 0.337052494 0.446935505 0.554820418 0.662782788 0.768689871 0.873481035 0.978381157 1.07985377 1.18300962 1.28558218 1.3847537 1.48545468 1.58549988 1.68626213 1.78304911 1.88500905 1.98365593 2.08160496 2.18070936 2.28020859 2.3800602 2.47924685 2.57963371 2.67967081 2.78071189 2.88182878 2.98353767 3.08650875 3.18875003 3.29102182 3.39433956 3.49716187 3.59988785 3.70444584 3.8091433 3.91797638 4.02386379 4.13223696 4.24260426 4.35207319 4.46126986 4.57322979 4.68651295 4.79983807 4.91511536 5.03210783 5.15214062 5.27245331 5.3930645 5.51489496 5.63960743 5.76605988 5.8914156 6.01769352 6.14875603 6.28086662 6.41495991 6.55136776 6.69146299 6.83304358 6.9786396 7.12596321 7.2769928 7.42949247 7.58498383 7.74451828 7.90676403 8.07327843 8.24458599 8.41973305 8.60203648 8.78406429 8.97579384 9.17363262 9.37618065 9.58698082 9.80885124 10.0349264 10.2756958 10.5272427 10.7829027 11.056778 11.3438015 11.6469002 11.9694252 12.3121605 12.6840754 13.0913105 13.5271893 14.0148735 14.5599976 15.1695862 15.8878212 16.7800484 17.9011497 19.4505882 22.0691261 73.908371 do regularised spline fit for input variable # 10 ------------------------------ Transdef: Tab for variable 11 -1. 1. 1. 1. 1. 1. 2. 2. 2. 2. 2. 2. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 4. 4. 4. 4. 4. 4. 4. 4. 4. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 5. 6. 6. 6. 6. 6. 6. 7. 7. 7. 7. 7. 7. 7. 7. 7. 7. 7. 8. 8. 8. 8. 8. 8. 9. 9. 9. 9. 9. 9. 9. 9. 9. 10. 10. 10. 10. 11. 11. 11. 11. 11. 11. 12. 12. 13. 13. 13. 15. 27. build map for variable # 11 ------------------------------ Transdef: Tab for variable 12 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 12 ------------------------------ Transdef: Tab for variable 13 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 13 ------------------------------ Transdef: Tab for variable 14 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 14 ------------------------------ Transdef: Tab for variable 15 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 15 ------------------------------ Transdef: Tab for variable 16 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 16 ------------------------------ Transdef: Tab for variable 17 -135.296295 -42.2428513 -37.5018005 -35.3868484 -33.9720001 -32.8713493 -31.9328499 -31.1280499 -30.4075508 -29.7625999 -29.1529503 -28.5891991 -28.0430489 -27.5338993 -27.0564003 -26.5963001 -26.15555 -25.7293015 -25.3148003 -24.9165001 -24.5364494 -24.1625996 -23.7915993 -23.4354992 -23.0808487 -22.7332993 -22.3883991 -22.0475006 -21.7185001 -21.3920498 -21.0699501 -20.7451 -20.4241009 -20.1079006 -19.7872009 -19.4699001 -19.1646996 -18.8544006 -18.54245 -18.2413502 -17.9416504 -17.6352997 -17.3323994 -17.0286503 -16.7227993 -16.4202003 -16.1140003 -15.8055 -15.5026493 -15.1897507 -14.8796997 -14.5717506 -14.2611504 -13.9438 -13.6243 -13.3057003 -12.97855 -12.6527996 -12.3247995 -11.9874001 -11.6464005 -11.3026505 -10.9514999 -10.5967999 -10.2317505 -9.86660004 -9.49914932 -9.11779976 -8.73219967 -8.34700012 -7.93720007 -7.53279972 -7.10895014 -6.67140007 -6.22735023 -5.78205013 -5.32079983 -4.86460018 -4.3908 -3.91709995 -3.44339991 -2.96355009 -2.49014997 -2.02189994 -1.56734991 -1.13399994 -0.711000025 -0.298799992 0.0309999995 0.53490001 1.19509995 2.06040001 3.13849998 4.54055023 6.28520012 8.59625053 11.6105499 15.8311996 22.5276489 34.4958496 127.994202 do regularised spline fit for input variable # 17 build map for variable # 17 ------------------------------ Transdef: Tab for variable 18 -75.3078003 -19.7052994 -15.5397997 -13.5003996 -12.1303997 -11.0709 -10.1770496 -9.40514946 -8.72374916 -8.12860012 -7.59084988 -7.10114956 -6.65794992 -6.24454975 -5.87625027 -5.54745007 -5.24009991 -4.95494986 -4.69329977 -4.45459986 -4.23134995 -4.02839994 -3.83789992 -3.65665007 -3.48679996 -3.32945013 -3.18309999 -3.03935003 -2.90549994 -2.77719998 -2.65479994 -2.53660011 -2.42560005 -2.31949997 -2.21749997 -2.11610007 -2.01909995 -1.92569995 -1.83369994 -1.74629998 -1.65910006 -1.57420003 -1.49259996 -1.41120005 -1.3319 -1.25590003 -1.17920005 -1.10420001 -1.03009999 -0.957199991 -0.885200024 -0.813799977 -0.744599998 -0.675549984 -0.607599974 -0.538299978 -0.470099986 -0.403400004 -0.334850013 -0.268599987 -0.201299995 -0.135700002 -0.0705000013 -0.0111999996 0. 0. 0. 0. 0. 0. 0. 0. 0.0357000008 0.1052 0.178100005 0.254500002 0.334199995 0.416799992 0.501850009 0.59009999 0.680850029 0.777199984 0.875400007 0.977699995 1.08630002 1.20009995 1.32054996 1.44895005 1.5869 1.74070001 1.90610003 2.08800006 2.29970002 2.54115009 2.82424998 3.17680001 3.63805008 4.30550003 5.46540022 8.3196497 81.2253036 do regularised spline fit for input variable # 18 build map for variable # 18 ------------------------------ Transdef: Tab for variable 19 -131.308594 -30.8668003 -19.2387505 -12.6422997 -8.75675011 -6.23410034 -4.49909973 -3.29725003 -2.39884996 -1.70910001 -1.15275002 -0.683650017 -0.283150017 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.255100012 0.548600018 0.843800008 1.11730003 1.38559997 1.6401 1.87960005 2.11164999 2.33450007 2.54550004 2.74545002 2.93919992 3.11980009 3.29110003 3.45700002 3.61479998 3.76889992 3.91454983 4.05350018 4.18709993 4.31720018 4.44070005 4.56339979 4.67649984 4.78840017 4.8980999 5.00579977 5.10865021 5.21190023 5.31349993 5.41179991 5.50810003 5.60510015 5.70130014 5.79580021 5.89074993 5.9822998 6.07350016 6.16599989 6.25950003 6.35200024 6.4453001 6.53929996 6.63310003 6.72590017 6.82189989 6.91944981 7.01739979 7.1170001 7.21869993 7.32320023 7.4309001 7.54190016 7.65234995 7.76590014 7.88520002 8.00870037 8.13939953 8.27815056 8.42339993 8.57929993 8.74779987 8.92959976 9.12899971 9.35084915 9.60350037 9.88630009 10.2309999 10.6552 11.2006493 11.9719 13.0541992 14.5678997 16.4528503 18.9633503 22.6791 98.6978989 do regularised spline fit for input variable # 19 build map for variable # 19 ------------------------------ Transdef: Tab for variable 20 -113.560402 -29.826149 -18.5509491 -12.3297997 -8.3132 -5.46434975 -3.22230005 -1.39450002 -0.122100003 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.405000001 1.16074991 1.82535005 2.32870007 2.7253499 3.04785013 3.32025003 3.55150008 3.75749993 3.94460011 4.1104002 4.26849985 4.4078002 4.54370022 4.66874981 4.78809977 4.90339994 5.01420021 5.11740017 5.22074986 5.32119989 5.41779995 5.51149988 5.60449982 5.6954999 5.78420019 5.87220001 5.95839977 6.04360008 6.12559986 6.20905018 6.29239988 6.375 6.45749998 6.5385499 6.62099981 6.70249987 6.78509998 6.8671999 6.95020008 7.0323 7.11549997 7.19969988 7.28485012 7.37104988 7.45809984 7.54759979 7.63609982 7.72790003 7.82130003 7.91695023 8.01490021 8.11745071 8.22179985 8.32820034 8.43889999 8.55690002 8.6782999 8.8064003 8.93774986 9.07900047 9.22729969 9.38525009 9.55830002 9.74139977 9.93879986 10.1626997 10.4121494 10.6970997 11.0172005 11.4027996 11.86625 12.4251003 13.1203003 13.9780998 14.9938507 16.1765499 17.5839996 19.2912006 21.4733505 24.7597504 83.526001 do regularised spline fit for input variable # 20 build map for variable # 20 ------------------------------ Transdef: Tab for variable 21 -111.776199 -26.7876015 -16.9142494 -11.4761505 -7.58484983 -4.53269958 -2.08389997 -0.368650019 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.291949987 1.14199996 1.85940003 2.37680006 2.78309989 3.10835004 3.37794995 3.6092999 3.81419992 3.99830008 4.16520023 4.31939983 4.46029997 4.59434986 4.7189002 4.83979988 4.95394993 5.06230021 5.16620016 5.27010012 5.37060022 5.46509981 5.55929995 5.65210009 5.74230003 5.83265018 5.92019987 6.00629997 6.09049988 6.17409992 6.2578001 6.34130001 6.42539978 6.50790024 6.59000015 6.6717 6.75489998 6.83820009 6.92210007 7.00589991 7.08830023 7.17320013 7.25829983 7.34549999 7.43310022 7.52299976 7.61259985 7.70510006 7.79839993 7.89470005 7.99249983 8.0934 8.19979954 8.30720043 8.41800022 8.53619957 8.65634918 8.78549957 8.91749954 9.0571003 9.20870018 9.36789989 9.53979969 9.7251997 9.92319965 10.1503 10.4019003 10.6945 11.0226002 11.4193497 11.9059 12.4912996 13.2163 14.1018505 15.1325493 16.2978992 17.6237488 19.1245499 20.8561497 22.8647995 25.4361 29.2203999 53.1357002 do regularised spline fit for input variable # 21 build map for variable # 21 ------------------------------ Transdef: Tab for variable 22 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 22 ------------------------------ Transdef: Tab for variable 23 -1.56982756 -0.638976097 -0.625065744 -0.621385098 -0.618835509 -0.607506514 -0.607506514 -0.607506514 -0.59140563 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.553588688 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.532890081 -0.46140027 -0.3577528 -0.22497654 -0.197551489 -0.193240166 -0.193240166 -0.193240166 -0.170016766 -0.159759998 -0.10151577 -0.0930809975 -0.0866560936 -0.0866560936 -0.0713868141 -0.0607295036 -0.0593438148 -0.0268115997 -0.00288772583 0.0148792267 0.0225257874 0.0987143517 0.135342121 0.143006802 0.206151962 0.301524162 0.404599667 0.414528847 0.550283909 0.726033211 0.843950748 1.27634811 1.5115242 1.82782078 2.89827085 4.79148388 do regularised spline fit for input variable # 23 build map for variable # 23 ------------------------------ Transdef: Tab for variable 24 0.489566624 0.882825017 0.904494405 0.917603016 0.92696631 0.936329603 0.942571759 0.948813975 0.95505619 0.959737837 0.964419484 0.967540562 0.971910119 0.976123571 0.978464425 0.983146071 0.986267149 0.988764048 0.992509365 0.994382024 0.997191012 1.00070226 1.00321031 1.00561798 1.00811481 1.01123595 1.014045 1.01591766 1.01825845 1.02059925 1.02327442 1.02528095 1.02808988 1.02996254 1.03308368 1.03464425 1.03677225 1.03932583 1.04213488 1.04400754 1.0455679 warning: map is empty for variable 24 9 1.04868913 1.05056179 1.05337083 1.05493128 1.05805242 1.05975485 1.06179774 1.06390452 1.06741571 1.06741571 1.07142854 1.07303369 1.07677901 1.07865167 1.08146071 1.08302116 1.0861423 1.0884831 1.09082401 1.09295201 1.0955056 1.0990169 1.10112357 1.10486889 1.10674155 1.1095506 1.11235952 1.11657298 1.11891389 1.12359548 1.12359548 1.12921345 1.13295877 1.13607991 1.1404494 1.14466298 1.14817417 1.15168536 1.15730333 1.16221905 1.16773677 1.17353308 1.17977524 1.18539321 1.19225967 1.20084274 1.20786512 1.21722841 1.22893262 1.24157298 1.25468171 1.27340829 1.29213488 1.32022476 1.35767794 1.4080056 1.47940075 1.59269667 1.80898881 5.38202238 do regularised spline fit for input variable # 24 build map for variable # 24 warning: map is empty for variable 24 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 15.0 16.0 17.0 18.0 19.0 20.0 21.0 22.0 23.0 24.0 0 0.3 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 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 2.2 10.9 13.6 3.1 3.0 6.2 4.0 3.3 1.7 2.2 5.0 5.2 7.0 9.4 7.8 7.5 7.4 13.6 15.9 15.9 0.9 9.8 9.9 2 2.2 100.0 3.4 0.9 2.0 3.7 7.1 19.2 0.2 -1.4 2.4 -1.1 1.4 0.0 0.3 0.0 -4.4 0.4 1.9 2.4 1.4 2.5 6.2 -3.2 3 10.9 3.4 100.0 71.0 3.6 15.9 7.6 1.9 8.4 18.7 10.5 9.9 38.1 40.4 60.7 55.0 42.0 38.4 32.9 36.9 42.2 21.5 70.7 -8.0 4 13.6 0.9 71.0 100.0 3.4 8.9 18.1 1.1 15.5 9.5 8.3 41.5 39.8 53.6 70.1 58.3 39.5 49.1 43.4 49.0 53.7 0.6 60.1 -7.4 5 3.1 2.0 3.6 3.4 100.0 11.7 25.9 42.7 3.7 24.3 1.3 9.0 7.1 8.4 4.8 -1.0 3.8 8.1 2.8 2.6 1.3 -3.8 3.5 -5.4 6 3.0 3.7 15.9 8.9 11.7 100.0 19.9 26.4 5.4 26.5 40.5 2.4 8.6 9.2 8.2 5.7 7.7 8.2 5.0 4.9 4.7 -2.0 13.3 -11.2 7 6.2 7.1 7.6 18.1 25.9 19.9 100.0 59.7 17.4 -12.9 12.1 13.3 6.6 12.1 7.3 -1.6 0.3 10.5 2.7 2.4 0.4 7.2 7.8 -7.8 8 4.0 19.2 1.9 1.1 42.7 26.4 59.7 100.0 5.8 -1.9 1.7 7.8 8.7 7.1 2.0 -4.7 0.5 6.0 -1.3 -1.8 -4.1 -2.8 3.3 -9.2 9 3.3 0.2 8.4 15.5 3.7 5.4 17.4 5.8 100.0 3.3 5.9 10.4 4.8 11.8 9.4 5.4 5.0 10.6 7.6 7.7 7.8 0.7 8.4 -11.9 10 1.7 -1.4 18.7 9.5 24.3 26.5 -12.9 -1.9 3.3 100.0 0.5 17.5 20.7 24.6 18.9 12.9 19.6 22.3 15.4 14.7 15.7 -16.3 17.0 -7.8 11 2.2 2.4 10.5 8.3 1.3 40.5 12.1 1.7 5.9 0.5 100.0 -5.6 -1.8 -1.2 1.4 2.3 -0.3 -0.8 0.5 0.6 0.5 9.2 8.6 -5.1 12 5.0 -1.1 9.9 41.5 9.0 2.4 13.3 7.8 10.4 17.5 -5.6 100.0 68.6 83.5 43.7 18.9 43.7 70.5 42.5 38.0 38.2 -27.9 7.8 -5.4 13 5.2 1.4 38.1 39.8 7.1 8.6 6.6 8.7 4.8 20.7 -1.8 68.6 100.0 82.2 41.9 20.8 70.8 68.1 38.4 33.2 33.1 -26.8 25.0 -6.1 14 7.0 0.0 40.4 53.6 8.4 9.2 12.1 7.1 11.8 24.6 -1.2 83.5 82.2 100.0 50.9 25.3 63.8 82.4 51.4 44.4 44.4 -25.1 32.0 -7.3 15 9.4 0.3 60.7 70.1 4.8 8.2 7.3 2.0 9.4 18.9 1.4 43.7 41.9 50.9 100.0 49.7 39.7 49.1 34.0 42.7 46.4 -12.3 49.8 -7.0 16 7.8 0.0 55.0 58.3 -1.0 5.7 -1.6 -4.7 5.4 12.9 2.3 18.9 20.8 25.3 49.7 100.0 25.6 21.0 35.8 38.5 50.6 -5.1 52.4 -3.6 17 7.5 -4.4 42.0 39.5 3.8 7.7 0.3 0.5 5.0 19.6 -0.3 43.7 70.8 63.8 39.7 25.6 100.0 54.6 40.8 36.9 38.3 -16.0 29.6 -10.2 18 7.4 0.4 38.4 49.1 8.1 8.2 10.5 6.0 10.6 22.3 -0.8 70.5 68.1 82.4 49.1 21.0 54.6 100.0 44.1 40.1 40.2 -21.4 31.2 -7.2 19 13.6 1.9 32.9 43.4 2.8 5.0 2.7 -1.3 7.6 15.4 0.5 42.5 38.4 51.4 34.0 35.8 40.8 44.1 100.0 87.2 85.9 -13.0 32.2 -4.8 20 15.9 2.4 36.9 49.0 2.6 4.9 2.4 -1.8 7.7 14.7 0.6 38.0 33.2 44.4 42.7 38.5 36.9 40.1 87.2 100.0 95.2 -12.1 38.4 -5.1 21 15.9 1.4 42.2 53.7 1.3 4.7 0.4 -4.1 7.8 15.7 0.5 38.2 33.1 44.4 46.4 50.6 38.3 40.2 85.9 95.2 100.0 -12.6 42.9 -5.1 22 0.9 2.5 21.5 0.6 -3.8 -2.0 7.2 -2.8 0.7 -16.3 9.2 -27.9 -26.8 -25.1 -12.3 -5.1 -16.0 -21.4 -13.0 -12.1 -12.6 100.0 9.6 0.7 23 9.8 6.2 70.7 60.1 3.5 13.3 7.8 3.3 8.4 17.0 8.6 7.8 25.0 32.0 49.8 52.4 29.6 31.2 32.2 38.4 42.9 9.6 100.0 -7.2 24 9.9 -3.2 -8.0 -7.4 -5.4 -11.2 -7.8 -9.2 -11.9 -7.8 -5.1 -5.4 -6.1 -7.3 -7.0 -3.6 -10.2 -7.2 -4.8 -5.1 -5.1 0.7 -7.2 100.0 TOTAL CORRELATION TO TARGET (diagonal) 40.593237 TOTAL CORRELATION OF ALL VARIABLES 22.3305516 ROUND 1: MAX CORR ( 22.3305185) AFTER KILLING INPUT VARIABLE 23 CONTR 0.0384853333 ROUND 2: MAX CORR ( 22.3303703) AFTER KILLING INPUT VARIABLE 12 CONTR 0.0813490043 ROUND 3: MAX CORR ( 22.3285988) AFTER KILLING INPUT VARIABLE 19 CONTR 0.281269927 ROUND 4: MAX CORR ( 22.3235363) AFTER KILLING INPUT VARIABLE 10 CONTR 0.47544704 ROUND 5: MAX CORR ( 22.3186373) AFTER KILLING INPUT VARIABLE 22 CONTR 0.467658093 ROUND 6: MAX CORR ( 22.3103682) AFTER KILLING INPUT VARIABLE 11 CONTR 0.607487298 ROUND 7: MAX CORR ( 22.294242) AFTER KILLING INPUT VARIABLE 13 CONTR 0.84811811 ROUND 8: MAX CORR ( 22.2737616) AFTER KILLING INPUT VARIABLE 15 CONTR 0.95539006 ROUND 9: MAX CORR ( 22.2490588) AFTER KILLING INPUT VARIABLE 18 CONTR 1.04873049 ROUND 10: MAX CORR ( 22.2141913) AFTER KILLING INPUT VARIABLE 5 CONTR 1.24511973 ROUND 11: MAX CORR ( 22.1707321) AFTER KILLING INPUT VARIABLE 6 CONTR 1.38886097 ROUND 12: MAX CORR ( 22.1249681) AFTER KILLING INPUT VARIABLE 2 CONTR 1.42377921 ROUND 13: MAX CORR ( 22.0384818) AFTER KILLING INPUT VARIABLE 21 CONTR 1.95436289 ROUND 14: MAX CORR ( 21.9481302) AFTER KILLING INPUT VARIABLE 16 CONTR 1.99355503 ROUND 15: MAX CORR ( 21.8889576) AFTER KILLING INPUT VARIABLE 3 CONTR 1.61057515 ROUND 16: MAX CORR ( 21.7966395) AFTER KILLING INPUT VARIABLE 9 CONTR 2.00822633 ROUND 17: MAX CORR ( 21.6431136) AFTER KILLING INPUT VARIABLE 8 CONTR 2.58246556 ROUND 18: MAX CORR ( 21.3981574) AFTER KILLING INPUT VARIABLE 17 CONTR 3.24703306 ROUND 19: MAX CORR ( 21.2097791) AFTER KILLING INPUT VARIABLE 14 CONTR 2.83309211 ROUND 20: MAX CORR ( 20.5039299) AFTER KILLING INPUT VARIABLE 7 CONTR 5.4261946 ROUND 21: MAX CORR ( 19.1790502) AFTER KILLING INPUT VARIABLE 4 CONTR 7.2508742 ROUND 22: MAX CORR ( 15.8781936) AFTER KILLING INPUT VARIABLE 24 CONTR 10.7572735 LAST REMAINING VARIABLE: 20 total correlation to target: 22.3305516 % total significance: 223.305516 sigma correlations of single variables to target: variable 2: 2.2080557 % , in sigma: 22.080557 variable 3: 10.9187931 % , in sigma: 109.187931 variable 4: 13.566315 % , in sigma: 135.66315 variable 5: 3.14192968 % , in sigma: 31.4192968 variable 6: 3.04318343 % , in sigma: 30.4318343 variable 7: 6.24908768 % , in sigma: 62.4908768 variable 8: 4.02883527 % , in sigma: 40.2883527 variable 9: 3.30360929 % , in sigma: 33.0360929 variable 10: 1.73999209 % , in sigma: 17.3999209 variable 11: 2.21067455 % , in sigma: 22.1067455 variable 12: 4.99591972 % , in sigma: 49.9591972 variable 13: 5.24555603 % , in sigma: 52.4555603 variable 14: 7.03244155 % , in sigma: 70.3244155 variable 15: 9.37477181 % , in sigma: 93.7477181 variable 16: 7.84609971 % , in sigma: 78.4609971 variable 17: 7.52275066 % , in sigma: 75.2275066 variable 18: 7.43682305 % , in sigma: 74.3682305 variable 19: 13.5604484 % , in sigma: 135.604484 variable 20: 15.8781936 % , in sigma: 158.781936 variable 21: 15.8846013 % , in sigma: 158.846013 variable 22: 0.917524267 % , in sigma: 9.17524267 variable 23: 9.7689382 % , in sigma: 97.689382 variable 24: 9.92739869 % , in sigma: 99.2739869 variables sorted by significance: 1 most relevant variable 20 corr 15.8781939 , in sigma: 158.781939 2 most relevant variable 24 corr 10.7572737 , in sigma: 107.572737 3 most relevant variable 4 corr 7.25087404 , in sigma: 72.5087404 4 most relevant variable 7 corr 5.42619467 , in sigma: 54.2619467 5 most relevant variable 14 corr 2.83309221 , in sigma: 28.3309221 6 most relevant variable 17 corr 3.24703312 , in sigma: 32.4703312 7 most relevant variable 8 corr 2.58246565 , in sigma: 25.8246565 8 most relevant variable 9 corr 2.00822639 , in sigma: 20.0822639 9 most relevant variable 3 corr 1.6105752 , in sigma: 16.105752 10 most relevant variable 16 corr 1.99355507 , in sigma: 19.9355507 11 most relevant variable 21 corr 1.95436287 , in sigma: 19.5436287 12 most relevant variable 2 corr 1.42377925 , in sigma: 14.2377925 13 most relevant variable 6 corr 1.38886094 , in sigma: 13.8886094 14 most relevant variable 5 corr 1.24511969 , in sigma: 12.4511969 15 most relevant variable 18 corr 1.04873049 , in sigma: 10.4873049 16 most relevant variable 15 corr 0.955390036 , in sigma: 9.55390036 17 most relevant variable 13 corr 0.848118126 , in sigma: 8.48118126 18 most relevant variable 11 corr 0.607487321 , in sigma: 6.07487321 19 most relevant variable 22 corr 0.467658103 , in sigma: 4.67658103 20 most relevant variable 10 corr 0.475447029 , in sigma: 4.75447029 21 most relevant variable 19 corr 0.281269938 , in sigma: 2.81269938 22 most relevant variable 12 corr 0.0813490078 , in sigma: 0.813490078 23 most relevant variable 23 corr 0.0384853333 , in sigma: 0.384853333 global correlations between input variables: variable 2: 24.2086007 % variable 3: 89.5871428 % variable 4: 85.5295887 % variable 5: 50.9026178 % variable 6: 56.383397 % variable 7: 67.3115396 % variable 8: 71.4777144 % variable 9: 25.7418584 % variable 10: 52.7483689 % variable 11: 45.6964091 % variable 12: 91.6671679 % variable 13: 87.625894 % variable 14: 94.6050343 % variable 15: 78.247241 % variable 16: 74.4019373 % variable 17: 75.7191485 % variable 18: 83.38623 % variable 19: 89.7017649 % variable 20: 96.3867643 % variable 21: 96.6480915 % variable 22: 57.3942712 % variable 23: 75.4477354 % variable 24: 20.4557933 % significance loss when removing single variables: variable 2: corr = 1.51414225 % , sigma = 15.1414225 variable 3: corr = 1.14230098 % , sigma = 11.4230098 variable 4: corr = 4.33379894 % , sigma = 43.3379894 variable 5: corr = 1.03100855 % , sigma = 10.3100855 variable 6: corr = 0.866412363 % , sigma = 8.66412363 variable 7: corr = 2.59028043 % , sigma = 25.9028043 variable 8: corr = 1.74945446 % , sigma = 17.4945446 variable 9: corr = 1.88142873 % , sigma = 18.8142873 variable 10: corr = 0.471610896 % , sigma = 4.71610896 variable 11: corr = 0.630365185 % , sigma = 6.30365185 variable 12: corr = 0.0716025212 % , sigma = 0.716025212 variable 13: corr = 0.753915767 % , sigma = 7.53915767 variable 14: corr = 2.18410064 % , sigma = 21.8410064 variable 15: corr = 0.872176525 % , sigma = 8.72176525 variable 16: corr = 2.20927078 % , sigma = 22.0927078 variable 17: corr = 2.92176713 % , sigma = 29.2176713 variable 18: corr = 1.145974 % , sigma = 11.45974 variable 19: corr = 0.279641074 % , sigma = 2.79641074 variable 20: corr = 1.9801144 % , sigma = 19.801144 variable 21: corr = 1.91805086 % , sigma = 19.1805086 variable 22: corr = 0.497646822 % , sigma = 4.97646822 variable 23: corr = 0.0384853333 % , sigma = 0.384853333 variable 24: corr = 12.0662031 % , sigma = 120.662031 Keep only 20 most significant input variables NVar: 21. 2795 ------------------------------------- Teacher: actual network topology: Nodes(1) = 21 Nodes(2) = 27 Nodes(3) = 1 ------------------------------------- --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 256.427856 sigma out 27 active outputs RANK 2 NODE 18 --> 90.7138901 sigma out 27 active outputs RANK 3 NODE 12 --> 82.290947 sigma out 27 active outputs RANK 4 NODE 19 --> 72.272438 sigma out 27 active outputs RANK 5 NODE 2 --> 70.329155 sigma out 27 active outputs RANK 6 NODE 6 --> 66.6194992 sigma out 27 active outputs RANK 7 NODE 21 --> 66.6120834 sigma out 27 active outputs RANK 8 NODE 13 --> 66.350853 sigma out 27 active outputs RANK 9 NODE 7 --> 64.4881363 sigma out 27 active outputs RANK 10 NODE 17 --> 58.3465805 sigma out 27 active outputs RANK 11 NODE 10 --> 57.3337097 sigma out 27 active outputs RANK 12 NODE 16 --> 55.9271736 sigma out 27 active outputs RANK 13 NODE 11 --> 55.923542 sigma out 27 active outputs RANK 14 NODE 9 --> 54.8406868 sigma out 27 active outputs RANK 15 NODE 3 --> 54.3532677 sigma out 27 active outputs RANK 16 NODE 5 --> 51.3400421 sigma out 27 active outputs RANK 17 NODE 20 --> 49.2374992 sigma out 27 active outputs RANK 18 NODE 4 --> 48.3812714 sigma out 27 active outputs RANK 19 NODE 8 --> 44.5185814 sigma out 27 active outputs RANK 20 NODE 15 --> 42.1871872 sigma out 27 active outputs RANK 21 NODE 14 --> 38.330719 sigma out 27 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 21 --> 204.930206 sigma in 21act. ( 241.751373 sig out 1act.) RANK 2 NODE 4 --> 144.631348 sigma in 21act. ( 153.365829 sig out 1act.) RANK 3 NODE 20 --> 100.123207 sigma in 21act. ( 124.985893 sig out 1act.) RANK 4 NODE 3 --> 93.8481064 sigma in 21act. ( 105.988159 sig out 1act.) RANK 5 NODE 13 --> 92.5954208 sigma in 21act. ( 102.892296 sig out 1act.) RANK 6 NODE 12 --> 87.1503067 sigma in 21act. ( 105.226006 sig out 1act.) RANK 7 NODE 5 --> 81.554985 sigma in 21act. ( 107.434975 sig out 1act.) RANK 8 NODE 26 --> 70.5939484 sigma in 21act. ( 90.2312317 sig out 1act.) RANK 9 NODE 6 --> 69.8299942 sigma in 21act. ( 86.2026749 sig out 1act.) RANK 10 NODE 27 --> 62.7366714 sigma in 21act. ( 78.0147247 sig out 1act.) RANK 11 NODE 18 --> 47.4754066 sigma in 21act. ( 44.6491928 sig out 1act.) RANK 12 NODE 11 --> 47.0315323 sigma in 21act. ( 58.4349136 sig out 1act.) RANK 13 NODE 1 --> 43.0469971 sigma in 21act. ( 47.524807 sig out 1act.) RANK 14 NODE 19 --> 42.1967087 sigma in 21act. ( 43.374733 sig out 1act.) RANK 15 NODE 2 --> 39.9581718 sigma in 21act. ( 56.6642685 sig out 1act.) RANK 16 NODE 16 --> 37.8210373 sigma in 21act. ( 43.5951653 sig out 1act.) RANK 17 NODE 9 --> 36.8021049 sigma in 21act. ( 22.9434338 sig out 1act.) RANK 18 NODE 8 --> 35.5370636 sigma in 21act. ( 26.574049 sig out 1act.) RANK 19 NODE 25 --> 34.0336685 sigma in 21act. ( 17.4064465 sig out 1act.) RANK 20 NODE 17 --> 33.2377815 sigma in 21act. ( 28.0410709 sig out 1act.) RANK 21 NODE 14 --> 32.3467064 sigma in 21act. ( 14.3880424 sig out 1act.) RANK 22 NODE 10 --> 30.2096691 sigma in 21act. ( 11.392065 sig out 1act.) RANK 23 NODE 7 --> 28.6460304 sigma in 21act. ( 17.1185665 sig out 1act.) RANK 24 NODE 22 --> 28.5252934 sigma in 21act. ( 1.64541459 sig out 1act.) RANK 25 NODE 23 --> 26.6239662 sigma in 21act. ( 4.41872501 sig out 1act.) RANK 26 NODE 15 --> 25.5301342 sigma in 21act. ( 19.0495205 sig out 1act.) RANK 27 NODE 24 --> 24.0616684 sigma in 21act. ( 13.3328962 sig out 1act.) sorted by output significance RANK 1 NODE 21 --> 241.751373 sigma out 1act.( 204.930206 sig in 21act.) RANK 2 NODE 4 --> 153.365829 sigma out 1act.( 144.631348 sig in 21act.) RANK 3 NODE 20 --> 124.985893 sigma out 1act.( 100.123207 sig in 21act.) RANK 4 NODE 5 --> 107.434975 sigma out 1act.( 81.554985 sig in 21act.) RANK 5 NODE 3 --> 105.988159 sigma out 1act.( 93.8481064 sig in 21act.) RANK 6 NODE 12 --> 105.226006 sigma out 1act.( 87.1503067 sig in 21act.) RANK 7 NODE 13 --> 102.892296 sigma out 1act.( 92.5954208 sig in 21act.) RANK 8 NODE 26 --> 90.2312317 sigma out 1act.( 70.5939484 sig in 21act.) RANK 9 NODE 6 --> 86.2026749 sigma out 1act.( 69.8299942 sig in 21act.) RANK 10 NODE 27 --> 78.0147247 sigma out 1act.( 62.7366714 sig in 21act.) RANK 11 NODE 11 --> 58.4349136 sigma out 1act.( 47.0315323 sig in 21act.) RANK 12 NODE 2 --> 56.6642685 sigma out 1act.( 39.9581718 sig in 21act.) RANK 13 NODE 1 --> 47.524807 sigma out 1act.( 43.0469971 sig in 21act.) RANK 14 NODE 18 --> 44.6491928 sigma out 1act.( 47.4754066 sig in 21act.) RANK 15 NODE 16 --> 43.5951653 sigma out 1act.( 37.8210373 sig in 21act.) RANK 16 NODE 19 --> 43.374733 sigma out 1act.( 42.1967087 sig in 21act.) RANK 17 NODE 17 --> 28.0410709 sigma out 1act.( 33.2377815 sig in 21act.) RANK 18 NODE 8 --> 26.574049 sigma out 1act.( 35.5370636 sig in 21act.) RANK 19 NODE 9 --> 22.9434338 sigma out 1act.( 36.8021049 sig in 21act.) RANK 20 NODE 15 --> 19.0495205 sigma out 1act.( 25.5301342 sig in 21act.) RANK 21 NODE 25 --> 17.4064465 sigma out 1act.( 34.0336685 sig in 21act.) RANK 22 NODE 7 --> 17.1185665 sigma out 1act.( 28.6460304 sig in 21act.) RANK 23 NODE 14 --> 14.3880424 sigma out 1act.( 32.3467064 sig in 21act.) RANK 24 NODE 24 --> 13.3328962 sigma out 1act.( 24.0616684 sig in 21act.) RANK 25 NODE 10 --> 11.392065 sigma out 1act.( 30.2096691 sig in 21act.) RANK 26 NODE 23 --> 4.41872501 sigma out 1act.( 26.6239662 sig in 21act.) RANK 27 NODE 22 --> 1.64541459 sigma out 1act.( 28.5252934 sig in 21act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 426.443878 sigma in 27 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 280.876007 sigma out 27 active outputs RANK 2 NODE 18 --> 99.6208649 sigma out 27 active outputs RANK 3 NODE 12 --> 82.8014145 sigma out 27 active outputs RANK 4 NODE 19 --> 71.7720642 sigma out 27 active outputs RANK 5 NODE 2 --> 70.0892639 sigma out 27 active outputs RANK 6 NODE 13 --> 65.8414459 sigma out 27 active outputs RANK 7 NODE 21 --> 62.8033104 sigma out 27 active outputs RANK 8 NODE 6 --> 62.6854477 sigma out 27 active outputs RANK 9 NODE 7 --> 58.5552711 sigma out 27 active outputs RANK 10 NODE 10 --> 55.7430573 sigma out 27 active outputs RANK 11 NODE 9 --> 52.5134659 sigma out 27 active outputs RANK 12 NODE 11 --> 52.3634491 sigma out 27 active outputs RANK 13 NODE 3 --> 50.6397629 sigma out 27 active outputs RANK 14 NODE 5 --> 50.1589966 sigma out 27 active outputs RANK 15 NODE 20 --> 48.4002647 sigma out 27 active outputs RANK 16 NODE 17 --> 47.5584717 sigma out 27 active outputs RANK 17 NODE 16 --> 44.6559067 sigma out 27 active outputs RANK 18 NODE 4 --> 42.1099472 sigma out 27 active outputs RANK 19 NODE 15 --> 35.4684792 sigma out 27 active outputs RANK 20 NODE 8 --> 35.1538124 sigma out 27 active outputs RANK 21 NODE 14 --> 32.8853645 sigma out 27 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 21 --> 218.852768 sigma in 21act. ( 193.735703 sig out 1act.) RANK 2 NODE 4 --> 165.195084 sigma in 21act. ( 110.323334 sig out 1act.) RANK 3 NODE 20 --> 104.908546 sigma in 21act. ( 96.587677 sig out 1act.) RANK 4 NODE 13 --> 102.006302 sigma in 21act. ( 77.692009 sig out 1act.) RANK 5 NODE 3 --> 97.8359375 sigma in 21act. ( 81.0837708 sig out 1act.) RANK 6 NODE 12 --> 88.5273514 sigma in 21act. ( 81.3281326 sig out 1act.) RANK 7 NODE 5 --> 86.6309128 sigma in 21act. ( 87.9917297 sig out 1act.) RANK 8 NODE 26 --> 78.5963287 sigma in 21act. ( 69.3734131 sig out 1act.) RANK 9 NODE 6 --> 65.5045853 sigma in 21act. ( 66.9739838 sig out 1act.) RANK 10 NODE 27 --> 62.2993546 sigma in 21act. ( 61.8046265 sig out 1act.) RANK 11 NODE 11 --> 43.9062309 sigma in 21act. ( 44.8434563 sig out 1act.) RANK 12 NODE 1 --> 40.8392296 sigma in 21act. ( 34.5024986 sig out 1act.) RANK 13 NODE 2 --> 40.2669907 sigma in 21act. ( 47.1702881 sig out 1act.) RANK 14 NODE 19 --> 35.0779953 sigma in 21act. ( 32.9745331 sig out 1act.) RANK 15 NODE 18 --> 33.9830017 sigma in 21act. ( 35.8282127 sig out 1act.) RANK 16 NODE 16 --> 32.0391617 sigma in 21act. ( 31.7418251 sig out 1act.) RANK 17 NODE 8 --> 23.606823 sigma in 21act. ( 19.8312149 sig out 1act.) RANK 18 NODE 17 --> 21.5995998 sigma in 21act. ( 22.1215801 sig out 1act.) RANK 19 NODE 9 --> 18.5674114 sigma in 21act. ( 17.9813004 sig out 1act.) RANK 20 NODE 25 --> 15.2710876 sigma in 21act. ( 13.1325722 sig out 1act.) RANK 21 NODE 15 --> 14.9087486 sigma in 21act. ( 14.4300032 sig out 1act.) RANK 22 NODE 7 --> 14.5722065 sigma in 21act. ( 12.7629223 sig out 1act.) RANK 23 NODE 14 --> 12.77104 sigma in 21act. ( 11.0635452 sig out 1act.) RANK 24 NODE 24 --> 11.0672407 sigma in 21act. ( 10.1673279 sig out 1act.) RANK 25 NODE 10 --> 9.97800159 sigma in 21act. ( 8.99586773 sig out 1act.) RANK 26 NODE 22 --> 6.96075678 sigma in 21act. ( 1.21135497 sig out 1act.) RANK 27 NODE 23 --> 6.9314065 sigma in 21act. ( 3.15214324 sig out 1act.) sorted by output significance RANK 1 NODE 21 --> 193.735703 sigma out 1act.( 218.852768 sig in 21act.) RANK 2 NODE 4 --> 110.323334 sigma out 1act.( 165.195084 sig in 21act.) RANK 3 NODE 20 --> 96.587677 sigma out 1act.( 104.908546 sig in 21act.) RANK 4 NODE 5 --> 87.9917297 sigma out 1act.( 86.6309128 sig in 21act.) RANK 5 NODE 12 --> 81.3281326 sigma out 1act.( 88.5273514 sig in 21act.) RANK 6 NODE 3 --> 81.0837708 sigma out 1act.( 97.8359375 sig in 21act.) RANK 7 NODE 13 --> 77.692009 sigma out 1act.( 102.006302 sig in 21act.) RANK 8 NODE 26 --> 69.3734131 sigma out 1act.( 78.5963287 sig in 21act.) RANK 9 NODE 6 --> 66.9739838 sigma out 1act.( 65.5045853 sig in 21act.) RANK 10 NODE 27 --> 61.8046265 sigma out 1act.( 62.2993546 sig in 21act.) RANK 11 NODE 2 --> 47.1702881 sigma out 1act.( 40.2669907 sig in 21act.) RANK 12 NODE 11 --> 44.8434563 sigma out 1act.( 43.9062309 sig in 21act.) RANK 13 NODE 18 --> 35.8282127 sigma out 1act.( 33.9830017 sig in 21act.) RANK 14 NODE 1 --> 34.5024986 sigma out 1act.( 40.8392296 sig in 21act.) RANK 15 NODE 19 --> 32.9745331 sigma out 1act.( 35.0779953 sig in 21act.) RANK 16 NODE 16 --> 31.7418251 sigma out 1act.( 32.0391617 sig in 21act.) RANK 17 NODE 17 --> 22.1215801 sigma out 1act.( 21.5995998 sig in 21act.) RANK 18 NODE 8 --> 19.8312149 sigma out 1act.( 23.606823 sig in 21act.) RANK 19 NODE 9 --> 17.9813004 sigma out 1act.( 18.5674114 sig in 21act.) RANK 20 NODE 15 --> 14.4300032 sigma out 1act.( 14.9087486 sig in 21act.) RANK 21 NODE 25 --> 13.1325722 sigma out 1act.( 15.2710876 sig in 21act.) RANK 22 NODE 7 --> 12.7629223 sigma out 1act.( 14.5722065 sig in 21act.) RANK 23 NODE 14 --> 11.0635452 sigma out 1act.( 12.77104 sig in 21act.) RANK 24 NODE 24 --> 10.1673279 sigma out 1act.( 11.0672407 sig in 21act.) RANK 25 NODE 10 --> 8.99586773 sigma out 1act.( 9.97800159 sig in 21act.) RANK 26 NODE 23 --> 3.15214324 sigma out 1act.( 6.9314065 sig in 21act.) RANK 27 NODE 22 --> 1.21135497 sigma out 1act.( 6.96075678 sig in 21act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 331.65033 sigma in 27 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.54454869 *** contribution from regularisation: 0.000654431758 *** contribution from error: -0.545203149 *** contribution from DIAG: 2.03090076E-06 *********************************************** --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.577514827 *** contribution from regularisation: 0.00101317186 *** contribution from error: -0.578527987 *** contribution from DIAG: 7.71793493E-05 *********************************************** ENTER BFGS code START -577537.638 -0.548725426 0. EXIT FROM BFGS code FG_START 0. -0.548725426 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.578148365 *** contribution from regularisation: 0.000929815928 *** contribution from error: -0.579078197 *** contribution from DIAG: 0.000100270532 *********************************************** ENTER BFGS code FG_START -578048.095 -0.548725426 -628.256042 EXIT FROM BFGS code FG_LNSRCH 0. -0.600589812 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.573159933 *** contribution from regularisation: 0.00100458693 *** contribution from error: -0.57416451 *** contribution from DIAG: 0.000408047286 *********************************************** ENTER BFGS code FG_LNSRCH -572751.902 -0.600589812 -5423.05371 EXIT FROM BFGS code FG_LNSRCH 0. -0.570482433 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.578894377 *** contribution from regularisation: 0.000977136195 *** contribution from error: -0.579871535 *** contribution from DIAG: 0.000133290101 *********************************************** ENTER BFGS code FG_LNSRCH -578761.108 -0.570482433 -1181.16956 EXIT FROM BFGS code NEW_X -578761.108 -0.570482433 -1181.16956 ENTER BFGS code NEW_X -578761.108 -0.570482433 -1181.16956 EXIT FROM BFGS code FG_LNSRCH 0. -0.580758691 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.579175055 *** contribution from regularisation: 0.000982299214 *** contribution from error: -0.58015734 *** contribution from DIAG: 0.000203667645 *********************************************** ENTER BFGS code FG_LNSRCH -578971.376 -0.580758691 1082.86731 EXIT FROM BFGS code NEW_X -578971.376 -0.580758691 1082.86731 ENTER BFGS code NEW_X -578971.376 -0.580758691 1082.86731 EXIT FROM BFGS code FG_LNSRCH 0. -0.576118946 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.579435408 *** contribution from regularisation: 0.000994775677 *** contribution from error: -0.58043021 *** contribution from DIAG: 0.000246382842 *********************************************** ENTER BFGS code FG_LNSRCH -579188.998 -0.576118946 389.483398 EXIT FROM BFGS code NEW_X -579188.998 -0.576118946 389.483398 ENTER BFGS code NEW_X -579188.998 -0.576118946 389.483398 EXIT FROM BFGS code FG_LNSRCH 0. -0.575429142 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.579571187 *** contribution from regularisation: 0.00100211264 *** contribution from error: -0.58057332 *** contribution from DIAG: 0.000251318794 *********************************************** ENTER BFGS code FG_LNSRCH -579319.898 -0.575429142 75.462822 EXIT FROM BFGS code NEW_X -579319.898 -0.575429142 75.462822 ENTER BFGS code NEW_X -579319.898 -0.575429142 75.462822 EXIT FROM BFGS code FG_LNSRCH 0. -0.576571882 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.579919636 *** contribution from regularisation: 0.00100397901 *** contribution from error: -0.580923617 *** contribution from DIAG: 0.000190731051 *********************************************** ENTER BFGS code FG_LNSRCH -579728.878 -0.576571882 -582.697693 EXIT FROM BFGS code NEW_X -579728.878 -0.576571882 -582.697693 ENTER BFGS code NEW_X -579728.878 -0.576571882 -582.697693 EXIT FROM BFGS code FG_LNSRCH 0. -0.581457675 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 300.068115 sigma out 27 active outputs RANK 2 NODE 18 --> 129.746582 sigma out 27 active outputs RANK 3 NODE 12 --> 87.8182907 sigma out 27 active outputs RANK 4 NODE 2 --> 80.8883591 sigma out 27 active outputs RANK 5 NODE 3 --> 76.4105911 sigma out 27 active outputs RANK 6 NODE 19 --> 75.7316895 sigma out 27 active outputs RANK 7 NODE 21 --> 67.9633255 sigma out 27 active outputs RANK 8 NODE 10 --> 65.4927521 sigma out 27 active outputs RANK 9 NODE 13 --> 65.2734756 sigma out 27 active outputs RANK 10 NODE 20 --> 63.0634308 sigma out 27 active outputs RANK 11 NODE 11 --> 61.1508255 sigma out 27 active outputs RANK 12 NODE 7 --> 59.6898766 sigma out 27 active outputs RANK 13 NODE 9 --> 58.6878853 sigma out 27 active outputs RANK 14 NODE 6 --> 57.5527649 sigma out 27 active outputs RANK 15 NODE 5 --> 55.6611023 sigma out 27 active outputs RANK 16 NODE 17 --> 51.6730957 sigma out 27 active outputs RANK 17 NODE 8 --> 47.9235649 sigma out 27 active outputs RANK 18 NODE 16 --> 41.5388298 sigma out 27 active outputs RANK 19 NODE 4 --> 39.0096169 sigma out 27 active outputs RANK 20 NODE 15 --> 36.712162 sigma out 27 active outputs RANK 21 NODE 14 --> 33.7317085 sigma out 27 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 21 --> 236.159409 sigma in 21act. ( 224.113251 sig out 1act.) RANK 2 NODE 4 --> 178.931213 sigma in 21act. ( 116.366844 sig out 1act.) RANK 3 NODE 13 --> 112.187927 sigma in 21act. ( 82.8134079 sig out 1act.) RANK 4 NODE 3 --> 111.831703 sigma in 21act. ( 93.1107864 sig out 1act.) RANK 5 NODE 20 --> 106.146729 sigma in 21act. ( 95.6836777 sig out 1act.) RANK 6 NODE 5 --> 94.0427017 sigma in 21act. ( 86.7479782 sig out 1act.) RANK 7 NODE 26 --> 92.0828629 sigma in 21act. ( 78.555069 sig out 1act.) RANK 8 NODE 12 --> 90.9144669 sigma in 21act. ( 81.8998566 sig out 1act.) RANK 9 NODE 27 --> 80.5076828 sigma in 21act. ( 80.2772369 sig out 1act.) RANK 10 NODE 6 --> 75.9747162 sigma in 21act. ( 75.7519379 sig out 1act.) RANK 11 NODE 11 --> 51.6946831 sigma in 21act. ( 49.2776146 sig out 1act.) RANK 12 NODE 2 --> 49.2009468 sigma in 21act. ( 55.5449333 sig out 1act.) RANK 13 NODE 1 --> 46.6588974 sigma in 21act. ( 39.7611809 sig out 1act.) RANK 14 NODE 8 --> 38.7137032 sigma in 21act. ( 33.8350182 sig out 1act.) RANK 15 NODE 18 --> 36.8141403 sigma in 21act. ( 38.3088226 sig out 1act.) RANK 16 NODE 19 --> 35.5163116 sigma in 21act. ( 32.6350555 sig out 1act.) RANK 17 NODE 16 --> 32.7103882 sigma in 21act. ( 32.0288773 sig out 1act.) RANK 18 NODE 17 --> 28.1166439 sigma in 21act. ( 28.7121601 sig out 1act.) RANK 19 NODE 9 --> 25.2455254 sigma in 21act. ( 24.1442738 sig out 1act.) RANK 20 NODE 15 --> 20.4977703 sigma in 21act. ( 18.8138504 sig out 1act.) RANK 21 NODE 7 --> 19.0501328 sigma in 21act. ( 16.5299397 sig out 1act.) RANK 22 NODE 25 --> 18.5221405 sigma in 21act. ( 15.1099339 sig out 1act.) RANK 23 NODE 24 --> 14.8580875 sigma in 21act. ( 13.5821657 sig out 1act.) RANK 24 NODE 14 --> 13.2141533 sigma in 21act. ( 10.6795883 sig out 1act.) RANK 25 NODE 10 --> 12.7217321 sigma in 21act. ( 11.0819798 sig out 1act.) RANK 26 NODE 22 --> 9.66270828 sigma in 21act. ( 4.3884778 sig out 1act.) RANK 27 NODE 23 --> 7.5342021 sigma in 21act. ( 0.420620114 sig out 1act.) sorted by output significance RANK 1 NODE 21 --> 224.113251 sigma out 1act.( 236.159409 sig in 21act.) RANK 2 NODE 4 --> 116.366844 sigma out 1act.( 178.931213 sig in 21act.) RANK 3 NODE 20 --> 95.6836777 sigma out 1act.( 106.146729 sig in 21act.) RANK 4 NODE 3 --> 93.1107864 sigma out 1act.( 111.831703 sig in 21act.) RANK 5 NODE 5 --> 86.7479782 sigma out 1act.( 94.0427017 sig in 21act.) RANK 6 NODE 13 --> 82.8134079 sigma out 1act.( 112.187927 sig in 21act.) RANK 7 NODE 12 --> 81.8998566 sigma out 1act.( 90.9144669 sig in 21act.) RANK 8 NODE 27 --> 80.2772369 sigma out 1act.( 80.5076828 sig in 21act.) RANK 9 NODE 26 --> 78.555069 sigma out 1act.( 92.0828629 sig in 21act.) RANK 10 NODE 6 --> 75.7519379 sigma out 1act.( 75.9747162 sig in 21act.) RANK 11 NODE 2 --> 55.5449333 sigma out 1act.( 49.2009468 sig in 21act.) RANK 12 NODE 11 --> 49.2776146 sigma out 1act.( 51.6946831 sig in 21act.) RANK 13 NODE 1 --> 39.7611809 sigma out 1act.( 46.6588974 sig in 21act.) RANK 14 NODE 18 --> 38.3088226 sigma out 1act.( 36.8141403 sig in 21act.) RANK 15 NODE 8 --> 33.8350182 sigma out 1act.( 38.7137032 sig in 21act.) RANK 16 NODE 19 --> 32.6350555 sigma out 1act.( 35.5163116 sig in 21act.) RANK 17 NODE 16 --> 32.0288773 sigma out 1act.( 32.7103882 sig in 21act.) RANK 18 NODE 17 --> 28.7121601 sigma out 1act.( 28.1166439 sig in 21act.) RANK 19 NODE 9 --> 24.1442738 sigma out 1act.( 25.2455254 sig in 21act.) RANK 20 NODE 15 --> 18.8138504 sigma out 1act.( 20.4977703 sig in 21act.) RANK 21 NODE 7 --> 16.5299397 sigma out 1act.( 19.0501328 sig in 21act.) RANK 22 NODE 25 --> 15.1099339 sigma out 1act.( 18.5221405 sig in 21act.) RANK 23 NODE 24 --> 13.5821657 sigma out 1act.( 14.8580875 sig in 21act.) RANK 24 NODE 10 --> 11.0819798 sigma out 1act.( 12.7217321 sig in 21act.) RANK 25 NODE 14 --> 10.6795883 sigma out 1act.( 13.2141533 sig in 21act.) RANK 26 NODE 22 --> 4.3884778 sigma out 1act.( 9.66270828 sig in 21act.) RANK 27 NODE 23 --> 0.420620114 sigma out 1act.( 7.5342021 sig in 21act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 368.156067 sigma in 27 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.58024466 *** contribution from regularisation: 0.0010107673 *** contribution from error: -0.581255436 *** contribution from DIAG: 0.000196973269 *********************************************** ENTER BFGS code FG_LNSRCH -580047.699 -0.581457675 -1010.7063 EXIT FROM BFGS code NEW_X -580047.699 -0.581457675 -1010.7063 ENTER BFGS code NEW_X -580047.699 -0.581457675 -1010.7063 EXIT FROM BFGS code FG_LNSRCH 0. -0.598909199 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.58081156 *** contribution from regularisation: 0.00103156199 *** contribution from error: -0.581843138 *** contribution from DIAG: 0.000154446156 *********************************************** ENTER BFGS code FG_LNSRCH -580657.14 -0.598909199 -951.343933 EXIT FROM BFGS code NEW_X -580657.14 -0.598909199 -951.343933 ENTER BFGS code NEW_X -580657.14 -0.598909199 -951.343933 EXIT FROM BFGS code FG_LNSRCH 0. -0.625070572 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.580233455 *** contribution from regularisation: 0.00107428525 *** contribution from error: -0.581307769 *** contribution from DIAG: 0.000132809117 *********************************************** ENTER BFGS code FG_LNSRCH -580100.672 -0.625070572 -2258.70996 EXIT FROM BFGS code FG_LNSRCH 0. -0.610939741 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.581153989 *** contribution from regularisation: 0.00101919263 *** contribution from error: -0.582173169 *** contribution from DIAG: 0.000140333403 *********************************************** ENTER BFGS code FG_LNSRCH -581013.655 -0.610939741 -1297.04565 EXIT FROM BFGS code NEW_X -581013.655 -0.610939741 -1297.04565 ENTER BFGS code NEW_X -581013.655 -0.610939741 -1297.04565 EXIT FROM BFGS code FG_LNSRCH 0. -0.620529592 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.581566215 *** contribution from regularisation: 0.00103935029 *** contribution from error: -0.582605541 *** contribution from DIAG: 0.000102342514 *********************************************** ENTER BFGS code FG_LNSRCH -581463.855 -0.620529592 -184.468567 EXIT FROM BFGS code NEW_X -581463.855 -0.620529592 -184.468567 ENTER BFGS code NEW_X -581463.855 -0.620529592 -184.468567 EXIT FROM BFGS code FG_LNSRCH 0. -0.640835047 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.581858873 *** contribution from regularisation: 0.00106586539 *** contribution from error: -0.582924724 *** contribution from DIAG: 0.000163555931 *********************************************** ENTER BFGS code FG_LNSRCH -581695.318 -0.640835047 -452.446289 EXIT FROM BFGS code NEW_X -581695.318 -0.640835047 -452.446289 ENTER BFGS code NEW_X -581695.318 -0.640835047 -452.446289 EXIT FROM BFGS code FG_LNSRCH 0. -0.64864701 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.582033157 *** contribution from regularisation: 0.00104968296 *** contribution from error: -0.583082855 *** contribution from DIAG: 0.000185860612 *********************************************** ENTER BFGS code FG_LNSRCH -581847.325 -0.64864701 29.2128296 EXIT FROM BFGS code NEW_X -581847.325 -0.64864701 29.2128296 ENTER BFGS code NEW_X -581847.325 -0.64864701 29.2128296 EXIT FROM BFGS code FG_LNSRCH 0. -0.656820297 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.582174718 *** contribution from regularisation: 0.00105221453 *** contribution from error: -0.583226919 *** contribution from DIAG: 0.000206221186 *********************************************** ENTER BFGS code FG_LNSRCH -581968.52 -0.656820297 207.381531 EXIT FROM BFGS code NEW_X -581968.52 -0.656820297 207.381531 ENTER BFGS code NEW_X -581968.52 -0.656820297 207.381531 EXIT FROM BFGS code CONVERGENC -581968.52 -0.656820297 207.381531 --------------------------------------------------- Iteration : 100 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 318.027313 sigma out 27 active outputs RANK 2 NODE 18 --> 153.26474 sigma out 27 active outputs RANK 3 NODE 3 --> 112.731369 sigma out 27 active outputs RANK 4 NODE 12 --> 103.480034 sigma out 27 active outputs RANK 5 NODE 20 --> 93.8634491 sigma out 27 active outputs RANK 6 NODE 13 --> 92.5634155 sigma out 27 active outputs RANK 7 NODE 10 --> 87.4597015 sigma out 27 active outputs RANK 8 NODE 2 --> 87.214325 sigma out 27 active outputs RANK 9 NODE 11 --> 79.0002823 sigma out 27 active outputs RANK 10 NODE 21 --> 78.9328232 sigma out 27 active outputs RANK 11 NODE 9 --> 67.7387924 sigma out 27 active outputs RANK 12 NODE 8 --> 66.9754715 sigma out 27 active outputs RANK 13 NODE 17 --> 65.0339127 sigma out 27 active outputs RANK 14 NODE 19 --> 64.9466934 sigma out 27 active outputs RANK 15 NODE 7 --> 58.9704285 sigma out 27 active outputs RANK 16 NODE 5 --> 48.866909 sigma out 27 active outputs RANK 17 NODE 6 --> 47.2066765 sigma out 27 active outputs RANK 18 NODE 16 --> 36.1519737 sigma out 27 active outputs RANK 19 NODE 15 --> 33.889225 sigma out 27 active outputs RANK 20 NODE 4 --> 33.7920799 sigma out 27 active outputs RANK 21 NODE 14 --> 31.2270699 sigma out 27 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 21 --> 291.181885 sigma in 21act. ( 261.052124 sig out 1act.) RANK 2 NODE 4 --> 165.138 sigma in 21act. ( 124.57679 sig out 1act.) RANK 3 NODE 3 --> 132.612778 sigma in 21act. ( 116.501411 sig out 1act.) RANK 4 NODE 27 --> 129.026794 sigma in 21act. ( 119.575455 sig out 1act.) RANK 5 NODE 13 --> 117.866814 sigma in 21act. ( 102.750336 sig out 1act.) RANK 6 NODE 20 --> 103.504677 sigma in 21act. ( 102.770859 sig out 1act.) RANK 7 NODE 26 --> 96.6449966 sigma in 21act. ( 91.0322571 sig out 1act.) RANK 8 NODE 5 --> 95.7774963 sigma in 21act. ( 85.3463211 sig out 1act.) RANK 9 NODE 12 --> 89.9228287 sigma in 21act. ( 84.8985901 sig out 1act.) RANK 10 NODE 6 --> 83.7372894 sigma in 21act. ( 88.3081741 sig out 1act.) RANK 11 NODE 8 --> 59.4733963 sigma in 21act. ( 55.7204323 sig out 1act.) RANK 12 NODE 2 --> 57.1429787 sigma in 21act. ( 64.5223694 sig out 1act.) RANK 13 NODE 11 --> 45.9240799 sigma in 21act. ( 42.8288155 sig out 1act.) RANK 14 NODE 1 --> 45.3543587 sigma in 21act. ( 42.1710548 sig out 1act.) RANK 15 NODE 18 --> 44.5255432 sigma in 21act. ( 46.9385185 sig out 1act.) RANK 16 NODE 16 --> 34.357029 sigma in 21act. ( 34.4588661 sig out 1act.) RANK 17 NODE 17 --> 32.9143982 sigma in 21act. ( 34.6117401 sig out 1act.) RANK 18 NODE 9 --> 32.1123581 sigma in 21act. ( 31.5228348 sig out 1act.) RANK 19 NODE 19 --> 23.3842506 sigma in 21act. ( 21.7171803 sig out 1act.) RANK 20 NODE 14 --> 22.9591484 sigma in 21act. ( 23.2426434 sig out 1act.) RANK 21 NODE 7 --> 17.2774887 sigma in 21act. ( 15.0279751 sig out 1act.) RANK 22 NODE 15 --> 16.9684792 sigma in 21act. ( 15.1661539 sig out 1act.) RANK 23 NODE 25 --> 16.6801147 sigma in 21act. ( 12.7886381 sig out 1act.) RANK 24 NODE 24 --> 15.462121 sigma in 21act. ( 14.8445158 sig out 1act.) RANK 25 NODE 10 --> 14.7313604 sigma in 21act. ( 14.0612831 sig out 1act.) RANK 26 NODE 22 --> 11.6009893 sigma in 21act. ( 7.60962057 sig out 1act.) RANK 27 NODE 23 --> 7.56463003 sigma in 21act. ( 1.16460657 sig out 1act.) sorted by output significance RANK 1 NODE 21 --> 261.052124 sigma out 1act.( 291.181885 sig in 21act.) RANK 2 NODE 4 --> 124.57679 sigma out 1act.( 165.138 sig in 21act.) RANK 3 NODE 27 --> 119.575455 sigma out 1act.( 129.026794 sig in 21act.) RANK 4 NODE 3 --> 116.501411 sigma out 1act.( 132.612778 sig in 21act.) RANK 5 NODE 20 --> 102.770859 sigma out 1act.( 103.504677 sig in 21act.) RANK 6 NODE 13 --> 102.750336 sigma out 1act.( 117.866814 sig in 21act.) RANK 7 NODE 26 --> 91.0322571 sigma out 1act.( 96.6449966 sig in 21act.) RANK 8 NODE 6 --> 88.3081741 sigma out 1act.( 83.7372894 sig in 21act.) RANK 9 NODE 5 --> 85.3463211 sigma out 1act.( 95.7774963 sig in 21act.) RANK 10 NODE 12 --> 84.8985901 sigma out 1act.( 89.9228287 sig in 21act.) RANK 11 NODE 2 --> 64.5223694 sigma out 1act.( 57.1429787 sig in 21act.) RANK 12 NODE 8 --> 55.7204323 sigma out 1act.( 59.4733963 sig in 21act.) RANK 13 NODE 18 --> 46.9385185 sigma out 1act.( 44.5255432 sig in 21act.) RANK 14 NODE 11 --> 42.8288155 sigma out 1act.( 45.9240799 sig in 21act.) RANK 15 NODE 1 --> 42.1710548 sigma out 1act.( 45.3543587 sig in 21act.) RANK 16 NODE 17 --> 34.6117401 sigma out 1act.( 32.9143982 sig in 21act.) RANK 17 NODE 16 --> 34.4588661 sigma out 1act.( 34.357029 sig in 21act.) RANK 18 NODE 9 --> 31.5228348 sigma out 1act.( 32.1123581 sig in 21act.) RANK 19 NODE 14 --> 23.2426434 sigma out 1act.( 22.9591484 sig in 21act.) RANK 20 NODE 19 --> 21.7171803 sigma out 1act.( 23.3842506 sig in 21act.) RANK 21 NODE 15 --> 15.1661539 sigma out 1act.( 16.9684792 sig in 21act.) RANK 22 NODE 7 --> 15.0279751 sigma out 1act.( 17.2774887 sig in 21act.) RANK 23 NODE 24 --> 14.8445158 sigma out 1act.( 15.462121 sig in 21act.) RANK 24 NODE 10 --> 14.0612831 sigma out 1act.( 14.7313604 sig in 21act.) RANK 25 NODE 25 --> 12.7886381 sigma out 1act.( 16.6801147 sig in 21act.) RANK 26 NODE 22 --> 7.60962057 sigma out 1act.( 11.6009893 sig in 21act.) RANK 27 NODE 23 --> 1.16460657 sigma out 1act.( 7.56463003 sig in 21act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 426.387665 sigma in 27 active inputs *********************************************** *** Learn Path 100 *** loss function: -0.582186401 *** contribution from regularisation: 0.00104054401 *** contribution from error: -0.583226919 *** contribution from DIAG: 0.000202391791 *********************************************** -----------------> Test sample Sum of Weights for output node 2 1000000. FLAT2DEF: TAB(KK=1, II= 2) = -8.51836014 create test 22 plots 9100/9200: 2 END OF LEARNING , export EXPERTISE WRITE NETWORK WEIGHTS TO EXPERTISE SAVING EXPERTISE TO GlobalPID_Proton_Upstream_NeuroBayes.conf NB_AHISTOUT: storage space 70361 Training Complete :) Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/GlobalPID_Proton_Upstream_ANN.txt Training parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/train-config.txt Input Data file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/datafiles.txt Neurobayes parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/612/Proton/Upstream/NB.txt Training Host = lxplus431.cern.ch Particle type = proton Background types = all Training Mix = NaturalMix Track type = Upstream Track PresSel = TrackPreSelNone Network type = NeuroBayes Ghost treatment = Ghosts Ghosts Min P = 0 MeV/c Min Pt = 0 MeV/c Max Chi^2 = 10 Min likelihood = -100 Max Ghost Prob = 1 Output file = GlobalPID_Proton_Upstream_NeuroBayes.conf Skipping input #RichUsedR2Gas Skipping input #RichAboveElThres Skipping input #RichAboveMuThres Training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.1.root Evaluation ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.2.root Training sample size = 1000000 Evaluation sample size = 5000000 Node layer two scale = 1.2 Input layer has 24 nodes, hidden layer has 27 nodes NB_DEF_TASK = CLA NB_DEF_LEARNDIAG = 1 NB_DEF_MOM = 0 NB_DEF_SHAPE = DIAG NB_DEF_REG = ALL NB_DEF_LOSS = ENTROPY NB_DEF_METHOD = BFGS NB_DEF_PRE = 612 Attempting to open training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.1.root Found 9821527 training data points Read entry 982152 (9.99999%) Read entry 1964304 (20%) Read entry 2946456 (30%) Read entry 3928608 (40%) Read entry 4910760 (50%) Considered 5157981 tracks for input to NN training Sel. Eff. = 19.3874% Selected 1000000 tracks for input to NN training ghost percentage = 29.8513% electron percentage = 5.7412% muon percentage = 0.3947% pion percentage = 53.654% kaon percentage = 7.2871% proton percentage = 2.972% Unknown Particle type 3112 percentage = 0.034% Unknown Particle type 3222 percentage = 0.0368% Unknown Particle type 3312 percentage = 0.0106% Unknown Particle type 3334 percentage = 0.0002% Unknown Particle type 1000010020 percentage = 0.0022% Unknown Particle type 1000010030 percentage = 0.0027% Unknown Particle type 1000020040 percentage = 0.0132% Making plots for input NumProtoParticles Creating ROOT directory NNcut0.025 Creating ROOT directory NNcut0.050 Creating ROOT directory NNcut0.075 Creating ROOT directory NNcut0.100 Creating ROOT directory NNcut0.125 Creating ROOT directory NNcut0.150 Creating ROOT directory NNcut0.175 Creating ROOT directory NNcut0.200 Creating ROOT directory NNcut0.350 Creating ROOT directory NNcut0.500 Creating ROOT directory NNcut0.750 Creating ROOT directory NNcut0.900 Creating ROOT directory DLLcut-6.000 Creating ROOT directory DLLcut-5.500 Creating ROOT directory DLLcut-5.000 Creating ROOT directory DLLcut-4.500 Creating ROOT directory DLLcut-4.000 Creating ROOT directory DLLcut-3.500 Creating ROOT directory DLLcut-3.000 Creating ROOT directory DLLcut-2.500 Creating ROOT directory DLLcut-2.000 Creating ROOT directory DLLcut-1.500 Creating ROOT directory DLLcut-1.000 Creating ROOT directory DLLcut-0.500 Creating ROOT directory DLLcut0.000 Creating ROOT directory DLLcut0.500 Creating ROOT directory DLLcut1.000 Creating ROOT directory DLLcut1.500 Creating ROOT directory DLLcut2.000 Creating ROOT directory DLLcut2.500 Creating ROOT directory DLLcut3.000 Creating ROOT directory DLLcut3.500 Creating ROOT directory DLLcut4.000 Creating ROOT directory DLLcut4.500 Creating ROOT directory DLLcut5.000 Creating ROOT directory DLLcut5.500 Creating ROOT directory DLLcut6.000 Making plots for input TrackP Making plots for input TrackPt Making plots for input TrackChi2PerDof Making plots for input TrackNumDof Making plots for input TrackLikelihood Making plots for input TrackGhostProbability Making plots for input TrackCloneDist Making plots for input TrackFitVeloChi2 Making plots for input TrackFitVeloNDoF Making plots for input RichUsedAero Making plots for input RichUsedR1Gas Making plots for input RichAbovePiThres Making plots for input RichAboveKaThres Making plots for input RichAbovePrThres Making plots for input RichDLLe Making plots for input RichDLLmu Making plots for input RichDLLk Making plots for input RichDLLp Making plots for input RichDLLbt Making plots for input InAccBrem Making plots for input BremPIDe Making plots for input VeloCharge Attempting to open evaluation ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.2.root Found 9023704 evaluation data points Read entry 902370 (10%) Read entry 1804740 (20%) Read entry 2707110 (30%) Read entry 3609480 (40%) Read entry 4511850 (50%) Read entry 5414220 (60%) Read entry 6316590 (70%) Read entry 7218960 (80%) Read entry 8121330 (90%) Read entry 9023700 (100%) Making final performance plots ... Finished... asciiToRoot: converting ahist.txt to Root format ... finished Found 23 input variables. ***************Training results***************** number of nodes in the 1st layer: 21 number of nodes in the 2nd layer: 27 number of nodes in the 3rd layer: 1 number of iterations: 100