Training in /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/621/Electron/Downstream Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/BFGS/621/Electron/Downstream/GlobalPID_Electron_Downstream_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/621/Electron/Downstream/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/621/Electron/Downstream/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/621/Electron/Downstream/NB.txt Training Host = lxplus432.cern.ch Particle type = electron Background types = all Training Mix = NaturalMix Track type = Downstream 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_Electron_Downstream_NeuroBayes.conf Skipping input #RichAboveElThres Skipping input #RichAbovePiThres Skipping input #RichAbovePrThres 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 34 nodes, hidden layer has 39 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 = 621 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 34 Your number of nodes in the hidden layer is: 39 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 621 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 TrackFitTChi2 PreproFlag 14 Input 11 TrackFitTNDoF PreproFlag 19 Input 12 RichUsedAero PreproFlag 18 Input 13 RichUsedR1Gas PreproFlag 18 Input 14 RichUsedR2Gas PreproFlag 18 Input 15 RichAboveMuThres PreproFlag 18 Input 16 RichAboveKaThres 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 InAccMuon PreproFlag 19 Input 23 MuonBkgLL PreproFlag 34 Input 24 MuonMuLL PreproFlag 34 Input 25 MuonIsLooseMuon PreproFlag 19 Input 26 MuonIsMuon PreproFlag 19 Input 27 MuonNShared PreproFlag 19 Input 28 InAccEcal PreproFlag 19 Input 29 EcalPIDe PreproFlag 34 Input 30 EcalPIDmu PreproFlag 34 Input 31 InAccHcal PreproFlag 19 Input 32 HcalPIDe PreproFlag 34 Input 33 HcalPIDmu PreproFlag 34 Input 34 PrsPIDe 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 5705173 tracks for input to NN training Sel. Eff. = 17.528% Selected 1000000 tracks for input to NN training ghost percentage = 63.3186% electron percentage = 12.4809% muon percentage = 0.774% pion percentage = 19.0612% kaon percentage = 1.1241% proton percentage = 3.2262% Unknown Particle type 3112 percentage = 0.0053% Unknown Particle type 3222 percentage = 0.0028% Unknown Particle type 3312 percentage = 0.0026% Unknown Particle type 1000010030 percentage = 0.0001% Unknown Particle type 1000020040 percentage = 0.0042% 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: 621 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. variable # 25 : 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 # 26 : 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 # 27 : 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 # 28 : 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 # 29 : 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 # 30 : 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 # 31 : 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 # 32 : 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 # 33 : 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 # 34 : 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 21 *** This will do for you: *** input variable equalisation *** to flat distribution with mean=0 and sigma=1 *** Then variables are decorrelated *** and rotated that all correlation to performance is in 2. input node ************************************ Signal fraction: 12.4808998 % ------------------------------ 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 2. 18. 22. 25. 27. 30. 31. 33. 35. 36. 38. 39. 40. 41. 43. 44. 45. 46. 47. 48. 49. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. 61. 61. 62. 63. 64. 65. 66. 67. 68. 69. 70. 71. 72. 73. 74. 75. 76. 77. 78. 79. 80. 81. 82. 83. 84. 85. 86. 87. 89. 90. 91. 92. 93. 94. 95. 97. 98. 100. 101. 102. 104. 105. 107. 108. 110. 112. 113. 115. 117. 119. 121. 123. 125. 127. 129. 132. 134. 137. 140. 143. 147. 151. 156. 161. 168. 176. 187. 201. 226. 435. build map for variable # 2 ------------------------------ Transdef: Tab for variable 3 1118.12 1452.18506 1572.89001 1662.90002 1732.16504 1788.12 1837.16003 1882.02002 1925.70996 1967.32996 2007.56006 2047.505 2086.36011 2124.55005 2162.11523 2200.61011 2238.41992 2275.81006 2313.97998 2353.1001 2392.81494 2432.17993 2472.66992 2513.79004 2556.73486 2599.91992 2643.02002 2687.54004 2733.06494 2780.1001 2828.68994 2878.5752 2929.25 2980.54492 3033.0249 3086.75488 3141.7251 3198.61011 3257.18506 3315.99512 3376.84521 3439.74512 3503.17993 3569.60498 3636.74512 3706.63477 3777.45508 3850.68506 3927.23999 4003.73999 4083.48486 4167.68506 4253.93018 4341.45996 4433.29492 4527.98535 4627.1001 4728.9751 4835.85986 4946.15527 5057.8999 5174.88965 5299.77979 5427.26953 5561.44531 5699.10498 5841.49023 5990.66504 6145.37 warning: map is empty for variable 3 988 6308.45996 6482.76465 6661.54492 6848.97021 7049.08008 7257.25977 7481.03027 7717.59473 7966.83008 8232.59473 8520.33984 8830.92578 9158.125 9515.45996 9899.33496 10325.3906 10790.3203 11311.8555 11893.0254 12528.9258 13253.5254 14085.875 15074.0156 16225.6504 17668.6758 19470.8145 21779.9551 24948.1133 29916.1758 39070.2422 67595.0312 4921043. 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 0.198223859 38.9113922 49.4546852 56.5299683 62.2826843 67.3181152 71.8967896 76.0899353 80.0475159 83.9523468 87.7737961 91.5428619 95.3609314 99.1975861 102.969482 106.79583 110.617119 114.451675 118.357849 122.176712 126.013733 129.902344 133.855728 137.83548 141.790939 145.730255 149.754272 153.807983 157.915665 162.050934 166.183792 170.346664 174.519867 178.801392 183.194305 187.580444 192.043213 196.5 warning: map is empty for variable 4 70374 201.258087 205.85379 210.56073 215.460953 220.451706 225.498688 230.644196 235.845215 241.203674 246.62384 252.120926 257.684601 263.321289 269.167847 274.98999 280.900879 287.089417 293.313721 299.733521 306.29834 312.911011 319.670959 326.656067 333.858093 341.192383 348.799927 356.282471 363.953857 372.124146 380.699066 389.301697 398.27771 407.855469 417.765747 428.179626 439.030823 450.287781 462.239044 474.674744 487.829193 501.756226 516.228394 531.35675 547.670715 564.980957 583.23584 602.922607 624.421143 647.973267 673.812134 702.764893 734.957214 770.857666 812.76886 861.415039 920.646667 994.249146 1085.92847 1211.80298 1402.06165 1747.28711 2747.24683 852996.688 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 0.0208988003 0.393865585 0.464047968 0.510429263 0.547526956 0.57857579 0.605960548 0.630786896 0.653728366 0.675438702 0.695570707 0.714900076 0.733824193 0.75201124 0.769898593 0.787037134 0.80386734 0.820461988 0.83705312 0.852949023 0.869111776 0.88513267 0.900892496 0.916624606 0.932206273 0.948207378 0.963972569 0.979932547 0.995743752 1.01159942 1.02777553 1.04423094 1.06095243 1.0774982 1.0943507 1.11157942 1.12903857 1.14748073 1.16616666 1.18513358 1.20393586 1.22385502 1.24392188 1.26460481 1.28573382 1.30797696 1.33072162 1.35422802 1.37826014 1.40343964 1.42922652 1.45560813 1.48326135 1.51201999 1.5421505 1.57262325 1.60550344 1.6392113 1.67457044 1.7115376 1.75049114 1.7913667 1.83375239 1.87828326 1.92492521 1.97421503 2.02634335 2.07963681 2.13592958 2.19535112 2.25778198 2.32371759 2.39168787 2.4645493 2.54156232 2.62221479 2.70806146 2.79615784 2.89031529 2.98756075 3.09294081 3.20340896 3.31874657 3.44296026 3.57119799 3.70660496 3.85205388 4.00738049 4.1669569 4.3351078 4.51185942 4.70004654 4.89496422 5.09877348 5.31699419 5.55056572 5.80875874 6.13320255 6.59932899 7.40198231 9.99953842 do regularised spline fit for input variable # 5 ------------------------------ Transdef: Tab for variable 6 4. 5. 6. 7. 7. 8. 8. 9. 9. 9. 10. 10. 10. 11. 11. 11. 12. 12. 13. 13. 14. 14. 14. 15. 15. 15. 15. 16. 16. 16. 16. 16. 17. 17. 17. 17. 17. 17. 17. 18. 18. 18. 18. 18. 18. 18. 18. 18. 18. 19. 19. 19. 19. 19. 19. 19. 19. 19. 19. 19. 20. 20. 20. 20. 20. 20. 20. 20. 20. 20. 20. 20. 21. 21. 21. 21. 21. 21. 21. 21. 21. 21. 21. 22. 22. 22. 22. 22. 22. 22. 22. 22. 23. 23. 23. 23. 23. 24. 24. 25. 31. build map for variable # 6 ------------------------------ Transdef: Tab for variable 7 -99.6643219 -52.9900818 -46.2640686 -42.4887466 -39.7567368 -37.6967392 -35.9514656 -34.419529 -32.9785271 -31.6094398 -30.3025093 -29.0587139 -27.8875237 -26.7735901 -25.7115669 -24.6947403 -23.7496433 -22.8789635 -22.033844 -21.2298698 -20.4749928 -19.7575226 -19.0714149 -18.4057732 -17.7635269 -17.1472912 -16.5627632 -16.005209 -15.4647713 -14.9470654 -14.4591236 -13.9890404 -13.5356722 -13.0984859 -12.680748 -12.2875214 -11.9089432 -11.5461435 -11.1981831 -10.8629112 -10.5394306 -10.2218094 -9.92641449 -9.64360523 -9.36697578 -9.10699177 -8.85141563 -8.60648441 -8.36370182 -8.13099098 -7.90695763 -7.69340038 -7.48353863 -7.27775669 -7.08175325 -6.8876667 -6.70510769 -6.52723312 -6.35943222 -6.19190693 -6.03006172 -5.87341881 -5.71706915 -5.56408691 -5.41842651 -5.27715492 -5.131567 -4.9902401 -4.85095882 -4.71586323 -4.58629036 -4.45813131 -4.32812309 -4.19849062 -4.06962872 -3.944839 -3.82122827 -3.70380878 -3.58893609 -3.47786546 -3.3719511 -3.26775789 -3.16748428 -3.07239199 -2.98230076 -2.88892198 -2.79034233 -2.69349813 -2.59726238 -2.50515699 -2.4131546 -2.32625341 -2.24032164 -2.14372802 -2.02447534 -1.88432837 -1.7338202 -1.57284653 -1.40336466 -1.19 warning: map is empty for variable 7 844675 0.535838723 do regularised spline fit for input variable # 7 build map for variable # 7 warning: map is empty for variable 7 ------------------------------ Transdef: Tab for variable 8 1.0333315E-05 0.0328767374 0.0476453304 0.0581738353 0.0665088296 0.0737259835 0.0802021921 0.0861845762 0.0917124897 0.097058326 0.102286085 0.107295483 0.112223402 0.117058992 0.121765628 0.126478463 0.131203756 0.135788947 0.140409738 0.145024061 0.149888068 0.154833391 0.160046905 0.165575385 0.171585679 0.178158075 0.185455009 0.193477094 0.202186167 0.211740315 0.222010612 0.232882231 0.24454397 0.256861866 0.269985974 0.283875853 0.298391402 0.313717127 0.330488563 0.34776476 0.36592263 0.385279715 0.405871987 0.428482652 0.452824831 0.479637682 0.508167982 0.537817836 0.567119837 0.593706965 0.618814409 0.642287612 0.664265156 0.684455752 0.703174591 0.720329881 0.736106873 0.750432432 0.763625383 0.775389075 0.785931468 0.795501351 0.803981423 0.811674118 0.818871081 0.825414598 0.831356764 0.836887836 0.842106462 0.847012162 0.851710081 0.856219769 0.860685587 0.865058005 0.869185448 0.873241484 0.877138138 0.880674541 0.884332538 0.887792826 0.891666174 0.895308256 0.899152756 0.903279722 0.907221198 0.91209054 0.917473674 0.923429728 0.930638671 0.939108849 0.946672142 0.953148246 0.958385825 0.962925434 0.966473937 0.968998194 0.971739173 0.975969911 0.981394649 0.988756001 0.999999404 do regularised spline fit for input variable # 8 build map for variable # 8 ------------------------------ Transdef: Tab for variable 9 1.49568176 22.4469128 37.3004684 51.6628113 66.3298645 76.3942261 85.5801849 95.2917099 105.153473 116.330124 124.78894 133.151443 143.587219 155.148544 166.443298 177.189331 188.593506 202.234695 214.365082 227.378754 241.988846 257.847778 273.997314 288.206543 305.380859 323.897034 342.34137 365.752167 389.38147 413.421387 437.662231 463.949158 495.378845 519.122437 553.647156 582.224487 614.206116 651.608276 687.456299 722.747559 767.637695 811.799927 856.128296 898.642822 941.19873 984.474976 1024.60046 1067.1062 1114.68335 1154.42932 1194.72253 1241.00085 1289.43359 1341.10181 1385.77905 1434.81238 1489.29077 1540.83813 1599.71973 1666.56372 1725.99585 1778.44995 1837.7439 1899.76245 1957.51318 2014.09216 2074.14282 2145.08423 2221.52979 2281.38721 2356.62256 2427.09131 2493.82666 2561.48193 2635.49561 2700.28955 2779.58032 2851.31006 2938.71533 3004.61133 3092.92383 3168.69214 3262.84668 3357.77051 3452.84424 3541.00195 3632.00977 3725.70361 3821.89844 3923.20703 4018.67261 4124.76172 4212.2168 4303.38477 4407.05713 4493.05469 4574.81934 4671.62646 4777.20166 4887.02832 4993.56836 do regularised spline fit for input variable # 9 build map for variable # 9 Only one class left for trimmed mean, or sigma very small -> take "normal" mean ------------------------------ Transdef: Tab for variable 10 0.000541377289 0.941755176 1.60709906 2.18133855 2.72097516 3.22832966 3.72126484 4.19837332 4.65730953 5.10585976 5.52923775 5.93061066 6.31571484 6.67051172 7.01740503 7.34698677 7.6674304 7.97167492 8.26522446 8.55522346 8.82571602 9.08898067 9.34474564 9.59597778 9.84093094 10.083127 10.3229141 10.552227 10.7826061 11.0108757 11.2307558 11.4502192 11.6671333 11.8858938 12.1013498 12.3138056 12.519989 12.7286663 12.9393063 13.151207 13.3617649 13.5737724 13.7845459 13.9970398 14.2120533 14.4244604 14.640316 14.8570738 15.0754337 15.2960033 15.517189 15.7376957 15.9644585 16.1907196 16.421875 16.6563454 16.8978424 17.1432171 17.3902397 17.6413841 17.9025688 18.1644115 18.4300861 18.7055759 18.9897575 19.2799187 19.5762863 19.8856945 20.2106781 20.5428085 20.8825607 21.232254 21.6018181 21.9951305 22.3948517 22.8202629 23.2685814 23.7466316 24.2491493 24.7780647 25.345787 25.9620247 26.6269951 27.3593006 28.1465263 29.0279312 29.983263 31.0869408 32.3157883 33.6882362 35.2807846 37.1143761 39.2207642 41.7132759 44.6495552 48.1745682 52.4178391 57.8529816 65.1030884 76.4471893 122.142891 do regularised spline fit for input variable # 10 ------------------------------ Transdef: Tab for variable 11 1. 3. 3. 3. 4. 5. 5. 6. 6. 6. 7. 7. 7. 7. 7. 8. 8. 9. 10. 10. 11. 11. 11. 12. 12. 12. 12. 12. 13. 13. 13. 13. 13. 13. 14. 14. 14. 14. 14. 14. 14. 14. 15. 15. 15. 15. 15. 15. 15. 15. 15. 15. 15. 16. 16. 16. 16. 16. 16. 16. 16. 16. 16. 16. 16. 17. 17. 17. 17. 17. 17. 17. 17. 17. 17. 17. 17. 17. 18. 18. 18. 18. 18. 18. 18. 18. 18. 18. 18. 19. 19. 19. 19. 19. 19. 19. 20. 20. 20. 21. 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. 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. 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. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 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. 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. build map for variable # 14 ------------------------------ Transdef: Tab for variable 15 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. 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. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 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 # 16 ------------------------------ Transdef: Tab for variable 17 -133.1259 -48.1904984 -38.3729019 -34.1282997 -31.4285011 -29.4766502 -27.9215508 -26.5991001 -25.4549007 -24.4326496 -23.5189495 -22.6831512 -21.9114494 -21.1723995 -20.4783497 -19.8278999 -19.2028503 -18.6065502 -18.0396004 -17.4836502 -16.9542999 -16.4415512 -15.9426498 -15.4607 -14.98915 -14.5339003 -14.0795002 -13.6473503 -13.2313995 -12.8282003 -12.4263496 -12.0276003 -11.6394997 -11.2607498 -10.8860493 -10.5170498 -10.1554003 -9.8070507 -9.45189953 -9.10509968 -8.7652998 -8.43319988 -8.10330009 -7.77845001 -7.45634985 -7.14025021 -6.82340002 -6.5152998 -6.21299982 -5.9144001 -5.6173501 -5.3203001 -5.02799988 -4.7414999 -4.46140003 -4.17700005 -3.90199995 -3.62879992 -3.35820007 -3.08879995 -2.82634997 -2.56585002 -2.30859995 -2.05150008 -1.80040002 -1.55439997 -1.31040001 -1.06980002 -0.834200025 -0.601100028 -0.377600014 -0.155300006 0. 0.200499997 0.462850004 0.754700005 1.07244992 1.4188 1.79530001 2.19689989 2.62995005 3.10229993 3.61045003 4.16944981 4.77745008 5.43204975 6.15460014 6.96455002 7.88070011 8.91264915 10.0883503 11.4862995 13.0909004 15.0234509 17.3314495 20.2378998 23.9822998 28.6982498 35.4843521 46.5662003 155.031097 do regularised spline fit for input variable # 17 build map for variable # 17 ------------------------------ Transdef: Tab for variable 18 -82.1138992 -26.2273502 -20.1025505 -16.9264984 -14.9237499 -13.4956493 -12.3957005 -11.5017004 -10.7479 -10.0984497 -9.53174973 -9.03145027 -8.56304932 -8.1402998 -7.75239992 -7.39424992 -7.05959988 -6.74959993 -6.45179987 -6.17500019 -5.91169977 -5.65929985 -5.41720009 -5.19110012 -4.97090006 -4.76200008 -4.55779982 -4.36254978 -4.1739502 -3.99419999 -3.82245016 -3.65639997 -3.49370003 -3.3355999 -3.18350005 -3.03625011 -2.89540005 -2.75915003 -2.6250999 -2.49309993 -2.36919999 -2.24659991 -2.12789989 -2.01275015 -1.89909995 -1.78994989 -1.68079996 -1.57589996 -1.47254992 -1.37100005 -1.27160001 -1.17379999 -1.07690001 -0.98089999 -0.888300002 -0.797850013 -0.708500028 -0.618200004 -0.528500021 -0.441249996 -0.35769999 -0.271899998 -0.189099997 -0.1061 -0.0318999998 0. 0. 0. 0.0483499989 0.135100007 0.230100006 0.326900005 0.429899991 0.540799975 0.654999971 0.774600029 0.902999997 1.03770006 1.17789996 1.32550001 1.4842 1.65269995 1.83555007 2.0315001 2.2407999 2.46810007 2.71550012 2.98900008 3.29119992 3.62674999 3.99814987 4.42525005 4.91820002 5.48029995 6.17580032 7.00635004 8.03684998 9.45114994 11.5068998 15.4299002 77.5643997 do regularised spline fit for input variable # 18 build map for variable # 18 ------------------------------ Transdef: Tab for variable 19 -175.852493 -44.7712021 -34.6685486 -28.4239502 -23.8226509 -20.28545 -17.2998505 -14.8562508 -12.7996006 -11.0867004 -9.60820007 -8.34734917 -7.28415012 -6.33195019 -5.50020027 -4.76020002 -4.10720015 -3.52710009 -3.0076499 -2.53740001 -2.11849999 -1.73599994 -1.38680005 -1.06585002 -0.775200009 -0.506699979 -0.252900004 -0.0313000008 0. 0. 0. 0. 0. 0. 0. 0. 0.00300000003 0.198150009 0.395799994 0.594299972 0.795149982 0.992900014 1.19089997 1.39429998 1.59140003 1.79079998 1.98640001 2.18390012 2.38310003 2.58299994 2.77959991 2.97600007 3.17050004 3.36949992 3.56879997 3.76604986 3.96465015 4.16099977 4.36199999 4.55950022 4.76130009 4.96339989 5.16919994 5.37949991 5.58850002 5.79920006 6.00909996 6.22469997 6.44610023 6.67000008 6.89244986 7.11980009 7.35160017 7.58790016 7.83319998 8.09225082 8.35519981 8.63529968 8.93404961 9.23359966 9.55554962 9.90120029 10.2728996 10.6717491 11.1056995 11.5818005 12.09305 12.6485996 13.2555504 13.9052 14.6157494 15.3832493 16.2294006 17.1623497 18.2133999 19.4130497 20.8653488 22.6174507 24.9612999 28.8798008 99.6978989 do regularised spline fit for input variable # 19 build map for variable # 19 ------------------------------ Transdef: Tab for variable 20 -164.873001 -41.865551 -32.4193993 -26.5236511 -22.2218018 -18.8398495 -16.0725498 -13.6697502 -11.6583004 -9.95100021 -8.48629951 -7.22300005 -6.11050034 -5.12905025 -4.26245022 -3.48385 -2.77649999 -2.14299989 -1.57865 -1.05149996 -0.5898 -0.173199996 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.214599997 0.529000044 0.848450005 1.1726501 1.50454998 1.83770001 2.1651001 2.48889995 2.80704999 3.11520004 3.4131999 3.69379997 3.95650005 4.20975018 4.44794989 4.67799997 4.90100002 5.1157999 5.32095003 5.52080011 5.71274996 5.89669991 6.07585001 6.25439978 6.43039989 6.60314989 6.77390003 6.94619989 7.11709976 7.28625011 7.45429993 7.6262002 7.79589987 7.9684 8.14845085 8.3288002 8.51239967 8.70364952 8.89850044 9.10039997 9.30819988 9.52449989 9.75119972 9.98820019 10.2428999 10.52005 10.8067999 11.1128998 11.4436493 11.8081999 12.1956997 12.6168003 13.0726004 13.5608501 14.0783005 14.6260004 15.2047005 15.8389997 16.5157509 17.2474995 18.0480995 18.9431992 19.9403992 21.0597992 22.3640499 23.9368992 25.8770504 28.5470505 32.8278999 111.530403 do regularised spline fit for input variable # 20 build map for variable # 20 ------------------------------ Transdef: Tab for variable 21 -153.4431 -38.9809494 -30.0604992 -24.5613003 -20.64505 -17.4827499 -14.8533497 -12.6096001 -10.6769505 -9.00625038 -7.54414988 -6.25164986 -5.12074995 -4.14070034 -3.28919983 -2.51405001 -1.83829999 -1.22425008 -0.681699991 -0.199149996 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.264949977 0.61680001 0.973150015 1.3348 1.69009995 2.04480004 2.39744997 2.74090004 3.07570004 3.39244986 3.69675016 3.97665 4.24294996 4.4916501 4.73554993 4.96579981 5.18904972 5.39970016 5.60284996 5.80210018 5.98990011 6.17675018 6.36269999 6.54274988 6.72039986 6.89820004 7.07609987 7.25154972 7.42530012 7.60220003 7.77780008 7.95504999 8.1406002 8.32590008 8.51509953 8.71310043 8.91539955 9.12489986 9.34179974 9.56729984 9.80679989 10.0610504 10.3322001 10.6248999 10.9231997 11.2480001 11.6091499 11.9903002 12.4006996 12.8478003 13.3234501 13.8205004 14.3436003 14.8892498 15.4715996 16.0841503 16.7268009 17.3889008 18.1021004 18.8611488 19.6713505 20.5418015 21.4725494 22.4897995 23.6219501 24.8764 26.3283005 28.0513992 30.1770496 32.9152985 37.1480484 69.7897034 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. 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. build map for variable # 22 ------------------------------ Transdef: Tab for variable 23 -8.10529995 -5.13100004 -4.6498003 -4.31999969 -4.0991497 -3.88905001 -3.71955013 -3.57369995 -3.43624997 -3.29244995 -3.16654992 -3.05049992 -2.94190001 -2.84704995 -2.75255013 -2.64795017 -2.5480001 -2.44854999 -2.35654998 -2.27095008 -2.18650007 -2.10405016 -2.02810001 -1.95239997 -1.87535 -1.79710007 -1.72580004 -1.65895009 -1.59519994 -1.53714991 -1.47969997 -1.42175007 -1.36329997 -1.31040001 -1.25985003 -1.21315002 -1.16125 -1.1214 -1.0708499 -1.02769995 -0.989000022 -0.948249996 -0.911350012 -0.875050008 -0.839650035 -0.805350006 -0.774100006 -0.744400024 -0.711349964 -0.681999981 -0.654100001 -0.626649976 -0.599950016 -0.575900018 -0.551450014 -0.528599977 -0.507250011 -0.486400008 -0.466699988 -0.447149992 -0.430299997 -0.413650006 -0.39625001 -0.379900008 -0.364350021 -0.349350005 -0.333700001 -0.320600003 -0.305999994 -0.291150004 -0.278400004 -0.266350001 -0.254750013 -0.243000001 -0.23195 -0.221000001 -0.210500002 -0.2007 -0.190599993 -0.181299999 -0.171800002 -0.162200004 -0.153899997 -0.145099998 -0.136600003 -0.128199995 -0.119900003 -0.111950003 -0.103200004 -0.0951000005 -0.0861999989 -0.0772999972 -0.0687000006 -0.0596500002 -0.0505999997 -0.0417999998 -0.0333499983 -0.0249000005 -0.0167500004 -0.00769999996 0.0221999995 do regularised spline fit for input variable # 23 build map for variable # 23 ------------------------------ Transdef: Tab for variable 24 -69.0775986 -3.01780009 -2.31369996 -1.94770002 -1.64300001 -1.41299999 -1.26339996 -1.13479996 -1.02579999 -0.931200027 -0.853299975 -0.780399978 -0.724300027 -0.664950013 -0.6153 -0.568499982 -0.524100006 -0.488200009 -0.45480001 -0.423599988 -0.398200005 -0.369100004 -0.346899986 -0.3213 -0.302300006 -0.284000009 -0.266900003 -0.247899994 -0.230900005 -0.217299998 -0.203799993 -0.19145 -0.179499999 -0.167699993 -0.158999994 -0.149100006 -0.140000001 -0.1303 -0.1215 -0.113600001 -0.105599999 -0.0992500037 -0.0951000005 -0.0891999975 -0.0838499963 -0.0780000016 -0.0722500011 -0.0680000037 -0.0644000024 -0.0603 -0.0568000004 -0.0542000011 -0.0515000001 -0.0480999984 -0.0450999998 -0.0425999984 -0.0403000005 -0.0375999995 -0.0351000018 -0.0331000015 -0.0309999995 -0.0289999992 -0.0271000005 -0.0251000002 -0.0233999994 -0.0225000009 -0.0203000009 -0.0183000006 -0.0170000009 -0.0157999992 -0.0142999999 -0.0131999999 -0.0121999998 -0.0111999996 -0.0102000004 -0.00910000037 -0.00850000046 -0.00800000038 -0.00719999988 -0.00659999996 -0.0057000001 -0.00529999984 -0.00469999993 -0.00449999981 -0.00329999998 -0.00249999994 -0.00209999993 -0.00179999997 -0.000500000024 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. do regularised spline fit for input variable # 24 build map for variable # 24 ------------------------------ Transdef: Tab for variable 25 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. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. build map for variable # 25 ------------------------------ Transdef: Tab for variable 26 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. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. build map for variable # 26 Only one class left for trimmed mean, or sigma very small -> take "normal" mean ------------------------------ Transdef: Tab for variable 27 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. 0. 0. 0. 0. 0. 0. 1. 1. 2. 3. 5. 59. build map for variable # 27 NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 32. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 33. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 34. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 35. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 36. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 37. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 38. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 39. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 40. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 41. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 42. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 43. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 44. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 45. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 46. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 47. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 48. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 49. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 51. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 52. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 53. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 54. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 57. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 58. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 27 for key 59. Unregularised mean is returned ------------------------------ Transdef: Tab for variable 28 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. 1. 1. 1. 1. 1. 1. build map for variable # 28 ------------------------------ Transdef: Tab for variable 29 -4.38635445 -4.13074541 -4.07658577 -3.93301249 -3.93301249 -3.93301249 -3.93301249 -3.93301249 -3.76037169 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.53776598 -3.33379126 -3.08295679 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.05267692 -3.02817678 -2.92521644 -2.76599407 -2.7432518 -2.65752363 -2.58459091 -2.50248146 -2.46006012 -2.3098278 -2.18145704 -2.00717211 -1.83352137 -1.72768688 -1.52133799 -1.37403584 -1.14628696 -1.11139488 -0.946540356 -0.829256058 -0.630250454 -0.522005558 -0.408083439 -0.299777985 -0.238624573 -0.164363861 -0.0510306358 0.046505928 0.0784716606 0.198370934 0.287807226 0.490685701 0.490685701 0.543769598 0.82774353 0.82774353 0.979388714 1.50525331 1.50525331 1.50525331 1.50525331 1.85486817 2.19153476 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.05003428 3.7110219 3.7110219 3.7110219 3.7110219 3.7110219 4.40498018 4.40498018 6.10368633 do regularised spline fit for input variable # 29 build map for variable # 29 ------------------------------ Transdef: Tab for variable 30 -4.83247137 -4.13779259 -4.07223701 -3.94697928 -3.85483575 -3.72168827 -3.69013071 -3.65401149 -3.56138825 -3.4688251 -3.40355444 -3.31566119 -3.27628684 -3.1227622 -3.11294436 -3.02331328 -2.92775369 -2.87176943 -2.86168885 -2.84834695 -2.79855132 -2.7737186 -2.71518302 -2.54819441 -2.54819441 -2.47610354 -2.37592697 -2.34447193 -2.3047781 -2.27513933 -2.26840973 -2.23495078 -2.23495078 -2.13111186 -2.11260104 -2.07558799 -2.0679872 -2.01277876 -1.94983983 -1.8602047 -1.83804798 -1.70671654 -1.63314676 -1.57915163 -1.51190472 -1.36439705 -1.27011585 -1.23548245 -1.16694045 -1.13944006 -0.969501495 -0.872774124 -0.726766109 -0.454190493 -0.383093834 -0.26591444 -0.180860519 -0.0321698189 0. 0.0190546513 0.0443530083 0.0723441839 0.0723441839 0.102372169 0.195245743 0.279042006 0.47978878 0.51010108 0.609764814 0.655275464 0.655275464 0.655275464 0.655275464 0.655456066 0.699700952 0.713219702 0.771264315 0.77837193 0.846491516 0.846491516 0.861260653 0.861260653 0.86666292 0.886415958 0.886415958 0.886415958 0.889773607 0.889773607 0.889773607 0.964651346 1.07367301 1.160092 1.28320694 1.55790734 1.71332061 1.71639228 1.72373497 1.73003983 1.88367021 2.08719873 2.64517307 do regularised spline fit for input variable # 30 build map for variable # 30 ------------------------------ Transdef: Tab for variable 31 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. 1. 1. 1. 1. 1. 1. 1. build map for variable # 31 ------------------------------ Transdef: Tab for variable 32 -2.88871217 -2.01022005 -1.81758094 -1.7738843 -1.75054502 -1.66117239 -1.62225771 -1.57923603 -1.56855631 -1.50996971 -1.46918011 -1.4421711 -1.43582058 -1.42864656 -1.42002678 -1.38529015 -1.34584188 -1.28373051 -1.26972222 -1.19617558 -1.16207457 -1.12623024 -1.12623024 -1.0316782 -0.969750881 -0.951852322 -0.910561562 -0.874427319 -0.837831974 -0.817952156 -0.750380993 -0.676613331 -0.574949503 -0.555638313 -0.55290556 -0.495992661 -0.447498798 -0.375976086 -0.33365798 -0.300168037 -0.248115301 -0.248115301 -0.205456018 -0.166717768 -0.145138025 -0.077753067 -0.0648195744 -0.0360507965 -0.0360507965 0.056071043 0.0918183327 0.0999355316 0.161836386 0.27294445 0.27294445 0.372661829 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.459589243 0.669291258 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.883660793 0.942393601 0.942393601 1.27724862 3.62305307 do regularised spline fit for input variable # 32 build map for variable # 32 ------------------------------ Transdef: Tab for variable 33 -3.88792086 -3.3770566 -3.20726681 -3.20726681 -3.0499897 -2.98749042 -2.98749042 -2.98749042 -2.98749042 -2.87932158 -2.87932158 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.87079692 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.70776844 -2.65408564 -2.6443696 -2.6443696 -2.6443696 -2.6443696 -2.6443696 -2.6443696 -2.6443696 -2.52186418 -2.41293287 -2.27632785 -2.05151105 -2.05151105 -2.05151105 -2.01507044 -1.95809221 -1.85483384 -1.72822547 -1.6048305 -1.48674536 -1.42869711 -1.34175134 -1.2968421 -1.22129297 -1.09337854 -1.09337854 -0.955205441 -0.907349586 -0.751433372 -0.710467339 -0.571699619 -0.524787664 -0.408474445 -0.304472923 -0.263629198 -0.20418787 -0.169142246 -0.0501103401 0.0318894386 0.109533548 0.118966579 0.181744099 0.291630268 0.317728758 0.444892883 0.602918386 0.690069199 0.734773636 0.784049273 0.859792709 0.928693295 1.00973034 1.11595201 1.22978187 1.39751697 1.53057528 1.54856634 1.60072923 1.67202449 1.75133717 1.98025084 2.07204652 2.16145992 2.18293715 2.61016369 do regularised spline fit for input variable # 33 build map for variable # 33 ------------------------------ Transdef: Tab for variable 34 -5.50334072 -4.55210114 -4.55210114 -4.4529171 -4.00359297 -4.00359297 -4.00359297 -4.00359297 -3.50343418 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.38835359 -3.38835359 -3.38835359 -3.38835359 -3.3617053 -3.35299492 -3.35299492 -3.15562534 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.96321154 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -2.31352472 -1.93280864 -1.31528616 -1.31528616 -1.01728535 -0.567905903 -0.553262949 -0.138285637 -0.0580744743 0.336510181 0.340180874 0.570206642 0.684092522 0.85964179 0.952658176 0.988480806 1.18183899 1.2042098 1.48104787 1.50876164 1.63333559 1.68312478 1.79864836 1.88869524 1.99690247 2.07892203 2.26242995 2.26416016 2.30800223 2.35585356 2.45943403 2.48900843 2.60252285 2.63768959 2.78465676 2.88513279 2.92996216 3.01170063 3.06042576 3.30289626 4.8262496 do regularised spline fit for input variable # 34 build map for variable # 34 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 25.0 26.0 27.0 28.0 29.0 30.0 31.0 32.0 33.0 34.0 0 0.7 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 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1 100.0 10.8 10.0 7.8 24.3 20.2 24.4 28.9 1.5 14.3 13.8 0.0 5.0 6.6 3.8 2.7 57.7 28.6 7.6 8.7 9.4 1.7 4.2 4.2 3.6 3.8 3.9 0.3 43.5 34.6 0.8 16.9 15.1 43.7 2 10.8 100.0 4.9 3.8 14.2 12.4 14.7 28.8 -1.1 9.8 11.9 -4.5 -3.7 3.5 -4.5 5.2 6.4 1.5 -11.5 -11.6 -9.5 2.6 4.0 4.3 6.5 4.2 4.7 2.1 6.2 3.7 2.3 12.1 11.5 5.1 3 10.0 4.9 100.0 35.2 4.8 20.9 6.9 7.4 2.8 9.1 26.8 15.4 7.0 56.8 -5.3 13.6 8.6 5.7 8.9 10.1 16.7 -5.2 -4.4 -6.0 -7.9 -7.0 -6.2 -21.2 8.4 3.0 -15.2 14.6 18.7 11.8 4 7.8 3.8 35.2 100.0 -6.0 11.8 -5.7 -4.1 -1.2 1.6 12.5 -15.2 -10.5 29.7 -19.1 41.3 9.1 6.2 7.7 13.4 22.0 13.8 -0.7 -0.3 -1.7 -1.1 0.1 4.4 15.3 8.0 4.9 4.5 9.7 15.2 5 24.3 14.2 4.8 -6.0 100.0 32.9 76.4 83.6 -3.0 46.7 27.7 -0.9 -1.2 -0.3 1.4 -1.0 12.7 3.6 2.0 3.3 5.4 -1.5 1.0 1.0 1.8 1.3 1.4 0.5 9.8 16.9 -0.9 0.0 2.2 11.2 6 20.2 12.4 20.9 11.8 32.9 100.0 42.6 39.1 -1.4 29.8 87.9 6.5 5.1 31.3 -9.6 11.4 12.1 1.8 7.6 8.6 11.9 25.5 4.6 5.0 6.0 4.0 5.2 20.9 8.1 10.8 21.2 9.1 11.3 11.3 7 24.4 14.7 6.9 -5.7 76.4 42.6 100.0 76.9 0.8 40.6 34.8 -7.8 -4.7 -5.8 1.4 0.2 14.1 6.1 -0.4 1.7 4.5 -12.5 -1.0 -0.9 -0.4 -0.5 -0.7 -7.7 11.0 18.4 -10.9 -1.1 1.8 12.4 8 28.9 28.8 7.4 -4.1 83.6 39.1 76.9 100.0 -3.2 42.5 28.0 -3.9 -0.6 0.6 1.9 1.1 16.4 5.3 1.3 2.7 5.6 -2.6 1.6 1.7 2.7 1.9 2.0 -1.2 10.5 16.4 -2.0 3.0 4.8 11.6 9 1.5 -1.1 2.8 -1.2 -3.0 -1.4 0.8 -3.2 100.0 -0.7 0.3 -5.0 -1.9 -2.5 -1.7 0.7 2.2 1.2 -1.5 -1.6 -1.5 -5.2 -0.7 -0.7 -0.7 -0.7 -0.8 -5.1 0.4 0.2 -4.9 -0.2 -0.2 0.6 10 14.3 9.8 9.1 1.6 46.7 29.8 40.6 42.5 -0.7 100.0 29.1 -3.8 -1.4 7.4 -4.4 6.4 9.4 3.4 1.6 3.0 5.3 2.2 0.7 1.1 1.6 0.9 1.2 1.3 9.5 12.9 1.3 3.1 5.4 11.7 11 13.8 11.9 26.8 12.5 27.7 87.9 34.8 28.0 0.3 29.1 100.0 9.8 5.1 34.7 -9.6 10.9 9.1 2.0 6.3 7.8 11.4 21.9 3.2 3.8 5.0 2.7 4.1 14.3 7.6 9.7 16.1 10.6 12.3 10.8 12 0.0 -4.5 15.4 -15.2 -0.9 6.5 -7.8 -3.9 -5.0 -3.8 9.8 100.0 35.2 26.8 31.3 -67.0 -6.9 -6.5 6.0 2.1 -3.7 16.5 1.7 0.5 1.2 0.4 0.4 10.3 -9.0 -9.9 12.5 6.4 3.8 -9.9 13 5.0 -3.7 7.0 -10.5 -1.2 5.1 -4.7 -0.6 -1.9 -1.4 5.1 35.2 100.0 11.3 63.1 -31.8 4.4 7.8 27.2 21.1 18.1 6.1 0.4 -0.1 0.2 0.0 -0.2 3.0 -3.7 -4.1 4.0 3.4 1.5 -4.2 14 6.6 3.5 56.8 29.7 -0.3 31.3 -5.8 0.6 -2.5 7.4 34.7 26.8 11.3 100.0 -22.3 19.8 0.8 -5.4 17.3 18.5 21.5 38.5 3.8 2.6 2.3 1.0 3.0 24.0 7.8 2.5 29.5 20.0 20.1 11.2 15 3.8 -4.5 -5.3 -19.1 1.4 -9.6 1.4 1.9 -1.7 -4.4 -9.6 31.3 63.1 -22.3 100.0 -37.8 5.0 13.6 32.6 29.7 26.8 -15.8 -1.5 -1.5 -1.3 -1.0 -1.7 -14.6 -5.0 -3.9 -13.7 -4.2 -6.1 -6.6 16 2.7 5.2 13.6 41.3 -1.0 11.4 0.2 1.1 0.7 6.4 10.9 -67.0 -31.8 19.8 -37.8 100.0 6.7 5.1 0.1 10.2 17.1 8.7 -1.0 -0.8 -1.8 -1.3 -0.3 4.1 12.8 11.1 3.6 5.5 9.6 14.7 17 57.7 6.4 8.6 9.1 12.7 12.1 14.1 16.4 2.2 9.4 9.1 -6.9 4.4 0.8 5.0 6.7 100.0 50.6 4.6 5.8 6.7 -3.3 1.6 1.6 1.1 1.4 1.4 -3.9 35.0 26.8 -4.0 11.9 11.8 33.9 18 28.6 1.5 5.7 6.2 3.6 1.8 6.1 5.3 1.2 3.4 2.0 -6.5 7.8 -5.4 13.6 5.1 50.6 100.0 5.2 7.9 8.7 -10.6 -4.7 -4.6 -3.9 -4.2 -4.2 -11.1 26.1 20.3 -11.4 7.0 6.7 23.2 19 7.6 -11.5 8.9 7.7 2.0 7.6 -0.4 1.3 -1.5 1.6 6.3 6.0 27.2 17.3 32.6 0.1 4.6 5.2 100.0 87.6 81.5 14.3 2.4 2.5 2.3 1.9 2.6 11.3 6.7 4.4 13.6 2.9 2.0 7.1 20 8.7 -11.6 10.1 13.4 3.3 8.6 1.7 2.7 -1.6 3.0 7.8 2.1 21.1 18.5 29.7 10.2 5.8 7.9 87.6 100.0 91.9 11.2 0.7 0.9 0.5 0.4 1.1 8.2 9.4 7.4 9.7 3.6 4.2 9.6 21 9.4 -9.5 16.7 22.0 5.4 11.9 4.5 5.6 -1.5 5.3 11.4 -3.7 18.1 21.5 26.8 17.1 6.7 8.7 81.5 91.9 100.0 11.8 0.8 1.0 0.6 0.4 1.3 7.2 10.5 8.0 8.7 3.6 4.7 10.6 22 1.7 2.6 -5.2 13.8 -1.5 25.5 -12.5 -2.6 -5.2 2.2 21.9 16.5 6.1 38.5 -15.8 8.7 -3.3 -10.6 14.3 11.2 11.8 100.0 13.7 13.8 16.0 13.1 14.7 77.9 3.2 -1.5 90.8 5.8 8.2 3.6 23 4.2 4.0 -4.4 -0.7 1.0 4.6 -1.0 1.6 -0.7 0.7 3.2 1.7 0.4 3.8 -1.5 -1.0 1.6 -4.7 2.4 0.7 0.8 13.7 100.0 96.5 85.3 81.0 85.6 11.1 6.8 8.4 12.9 14.5 12.5 7.2 24 4.2 4.3 -6.0 -0.3 1.0 5.0 -0.9 1.7 -0.7 1.1 3.8 0.5 -0.1 2.6 -1.5 -0.8 1.6 -4.6 2.5 0.9 1.0 13.8 96.5 100.0 86.4 81.0 85.8 11.0 6.6 8.5 12.8 14.2 12.1 7.1 25 3.6 6.5 -7.9 -1.7 1.8 6.0 -0.4 2.7 -0.7 1.6 5.0 1.2 0.2 2.3 -1.3 -1.8 1.1 -3.9 2.3 0.5 0.6 16.0 85.3 86.4 100.0 81.5 91.9 12.8 5.0 6.5 15.0 12.7 10.3 5.4 26 3.8 4.2 -7.0 -1.1 1.3 4.0 -0.5 1.9 -0.7 0.9 2.7 0.4 0.0 1.0 -1.0 -1.3 1.4 -4.2 1.9 0.4 0.4 13.1 81.0 81.0 81.5 100.0 79.1 10.7 5.9 7.6 12.5 13.5 11.4 6.2 27 3.9 4.7 -6.2 0.1 1.4 5.2 -0.7 2.0 -0.8 1.2 4.1 0.4 -0.2 3.0 -1.7 -0.3 1.4 -4.2 2.6 1.1 1.3 14.7 85.6 85.8 91.9 79.1 100.0 11.6 6.1 7.9 13.5 13.1 11.0 6.6 28 0.3 2.1 -21.2 4.4 0.5 20.9 -7.7 -1.2 -5.1 1.3 14.3 10.3 3.0 24.0 -14.6 4.1 -3.9 -11.1 11.3 8.2 7.2 77.9 11.1 11.0 12.8 10.7 11.6 100.0 0.9 3.7 82.6 3.2 8.1 1.4 29 43.5 6.2 8.4 15.3 9.8 8.1 11.0 10.5 0.4 9.5 7.6 -9.0 -3.7 7.8 -5.0 12.8 35.0 26.1 6.7 9.4 10.5 3.2 6.8 6.6 5.0 5.9 6.1 0.9 100.0 55.2 2.4 26.1 22.8 66.8 30 34.6 3.7 3.0 8.0 16.9 10.8 18.4 16.4 0.2 12.9 9.7 -9.9 -4.1 2.5 -3.9 11.1 26.8 20.3 4.4 7.4 8.0 -1.5 8.4 8.5 6.5 7.6 7.9 3.7 55.2 100.0 -0.4 24.8 23.4 50.0 31 0.8 2.3 -15.2 4.9 -0.9 21.2 -10.9 -2.0 -4.9 1.3 16.1 12.5 4.0 29.5 -13.7 3.6 -4.0 -11.4 13.6 9.7 8.7 90.8 12.9 12.8 15.0 12.5 13.5 82.6 2.4 -0.4 100.0 5.1 10.6 2.6 32 16.9 12.1 14.6 4.5 0.0 9.1 -1.1 3.0 -0.2 3.1 10.6 6.4 3.4 20.0 -4.2 5.5 11.9 7.0 2.9 3.6 3.6 5.8 14.5 14.2 12.7 13.5 13.1 3.2 26.1 24.8 5.1 100.0 78.3 26.1 33 15.1 11.5 18.7 9.7 2.2 11.3 1.8 4.8 -0.2 5.4 12.3 3.8 1.5 20.1 -6.1 9.6 11.8 6.7 2.0 4.2 4.7 8.2 12.5 12.1 10.3 11.4 11.0 8.1 22.8 23.4 10.6 78.3 100.0 24.5 34 43.7 5.1 11.8 15.2 11.2 11.3 12.4 11.6 0.6 11.7 10.8 -9.9 -4.2 11.2 -6.6 14.7 33.9 23.2 7.1 9.6 10.6 3.6 7.2 7.1 5.4 6.2 6.6 1.4 66.8 50.0 2.6 26.1 24.5 100.0 TOTAL CORRELATION TO TARGET (diagonal) 114.685535 TOTAL CORRELATION OF ALL VARIABLES 67.7160229 ROUND 1: MAX CORR ( 67.7160226) AFTER KILLING INPUT VARIABLE 21 CONTR 0.0069821765 ROUND 2: MAX CORR ( 67.7160222) AFTER KILLING INPUT VARIABLE 26 CONTR 0.00767540623 ROUND 3: MAX CORR ( 67.716021) AFTER KILLING INPUT VARIABLE 23 CONTR 0.0123890095 ROUND 4: MAX CORR ( 67.7160204) AFTER KILLING INPUT VARIABLE 24 CONTR 0.00928453817 ROUND 5: MAX CORR ( 67.7157675) AFTER KILLING INPUT VARIABLE 15 CONTR 0.185067009 ROUND 6: MAX CORR ( 67.7153806) AFTER KILLING INPUT VARIABLE 25 CONTR 0.228896381 ROUND 7: MAX CORR ( 67.7153372) AFTER KILLING INPUT VARIABLE 27 CONTR 0.0767272245 ROUND 8: MAX CORR ( 67.7149469) AFTER KILLING INPUT VARIABLE 31 CONTR 0.22990116 ROUND 9: MAX CORR ( 67.7142739) AFTER KILLING INPUT VARIABLE 14 CONTR 0.301886326 ROUND 10: MAX CORR ( 67.712623) AFTER KILLING INPUT VARIABLE 7 CONTR 0.472851752 ROUND 11: MAX CORR ( 67.7108901) AFTER KILLING INPUT VARIABLE 19 CONTR 0.484425628 ROUND 12: MAX CORR ( 67.7088507) AFTER KILLING INPUT VARIABLE 4 CONTR 0.525523815 ROUND 13: MAX CORR ( 67.704438) AFTER KILLING INPUT VARIABLE 3 CONTR 0.773010217 ROUND 14: MAX CORR ( 67.6988246) AFTER KILLING INPUT VARIABLE 22 CONTR 0.871815417 ROUND 15: MAX CORR ( 67.6924253) AFTER KILLING INPUT VARIABLE 28 CONTR 0.930817102 ROUND 16: MAX CORR ( 67.6841474) AFTER KILLING INPUT VARIABLE 16 CONTR 1.05859479 ROUND 17: MAX CORR ( 67.6726356) AFTER KILLING INPUT VARIABLE 10 CONTR 1.24827796 ROUND 18: MAX CORR ( 67.6631429) AFTER KILLING INPUT VARIABLE 5 CONTR 1.13345153 ROUND 19: MAX CORR ( 67.6512219) AFTER KILLING INPUT VARIABLE 33 CONTR 1.27007245 ROUND 20: MAX CORR ( 67.6340664) AFTER KILLING INPUT VARIABLE 32 CONTR 1.52344368 ROUND 21: MAX CORR ( 67.6164472) AFTER KILLING INPUT VARIABLE 9 CONTR 1.54369771 ROUND 22: MAX CORR ( 67.5922022) AFTER KILLING INPUT VARIABLE 13 CONTR 1.8105622 ROUND 23: MAX CORR ( 67.5645926) AFTER KILLING INPUT VARIABLE 2 CONTR 1.93174364 ROUND 24: MAX CORR ( 67.5307737) AFTER KILLING INPUT VARIABLE 20 CONTR 2.13746893 ROUND 25: MAX CORR ( 67.4880173) AFTER KILLING INPUT VARIABLE 18 CONTR 2.40268989 ROUND 26: MAX CORR ( 67.3570683) AFTER KILLING INPUT VARIABLE 30 CONTR 4.20212088 ROUND 27: MAX CORR ( 67.1133928) AFTER KILLING INPUT VARIABLE 11 CONTR 5.72426138 ROUND 28: MAX CORR ( 66.9693424) AFTER KILLING INPUT VARIABLE 6 CONTR 4.3948448 ROUND 29: MAX CORR ( 66.6199822) AFTER KILLING INPUT VARIABLE 12 CONTR 6.83160309 ROUND 30: MAX CORR ( 65.6762324) AFTER KILLING INPUT VARIABLE 29 CONTR 11.1738322 ROUND 31: MAX CORR ( 63.1300328) AFTER KILLING INPUT VARIABLE 8 CONTR 18.1098442 ROUND 32: MAX CORR ( 57.6715048) AFTER KILLING INPUT VARIABLE 34 CONTR 25.6787572 LAST REMAINING VARIABLE: 17 total correlation to target: 67.7160229 % total significance: 677.160229 sigma correlations of single variables to target: variable 2: 10.7645696 % , in sigma: 107.645696 variable 3: 9.95117712 % , in sigma: 99.5117712 variable 4: 7.81870457 % , in sigma: 78.1870457 variable 5: 24.3280701 % , in sigma: 243.280701 variable 6: 20.1665167 % , in sigma: 201.665167 variable 7: 24.4092272 % , in sigma: 244.092272 variable 8: 28.9220919 % , in sigma: 289.220919 variable 9: 1.50760336 % , in sigma: 15.0760336 variable 10: 14.2556424 % , in sigma: 142.556424 variable 11: 13.7934989 % , in sigma: 137.934989 variable 12: 0.0430981615 % , in sigma: 0.430981615 variable 13: 4.97053076 % , in sigma: 49.7053076 variable 14: 6.62763787 % , in sigma: 66.2763787 variable 15: 3.77464679 % , in sigma: 37.7464679 variable 16: 2.70927325 % , in sigma: 27.0927325 variable 17: 57.6715048 % , in sigma: 576.715048 variable 18: 28.561785 % , in sigma: 285.61785 variable 19: 7.56735883 % , in sigma: 75.6735883 variable 20: 8.65913989 % , in sigma: 86.5913989 variable 21: 9.38913144 % , in sigma: 93.8913144 variable 22: 1.71243818 % , in sigma: 17.1243818 variable 23: 4.23820306 % , in sigma: 42.3820306 variable 24: 4.18092057 % , in sigma: 41.8092057 variable 25: 3.58607675 % , in sigma: 35.8607675 variable 26: 3.77425738 % , in sigma: 37.7425738 variable 27: 3.90816185 % , in sigma: 39.0816185 variable 28: 0.31872845 % , in sigma: 3.1872845 variable 29: 43.5413046 % , in sigma: 435.413046 variable 30: 34.5664237 % , in sigma: 345.664237 variable 31: 0.757848262 % , in sigma: 7.57848262 variable 32: 16.9039942 % , in sigma: 169.039942 variable 33: 15.1376277 % , in sigma: 151.376277 variable 34: 43.7119387 % , in sigma: 437.119387 variables sorted by significance: 1 most relevant variable 17 corr 57.671505 , in sigma: 576.71505 2 most relevant variable 34 corr 25.6787567 , in sigma: 256.787567 3 most relevant variable 8 corr 18.1098442 , in sigma: 181.098442 4 most relevant variable 29 corr 11.1738319 , in sigma: 111.738319 5 most relevant variable 12 corr 6.83160305 , in sigma: 68.3160305 6 most relevant variable 6 corr 4.39484501 , in sigma: 43.9484501 7 most relevant variable 11 corr 5.72426128 , in sigma: 57.2426128 8 most relevant variable 30 corr 4.20212078 , in sigma: 42.0212078 9 most relevant variable 18 corr 2.40268993 , in sigma: 24.0268993 10 most relevant variable 20 corr 2.13746881 , in sigma: 21.3746881 11 most relevant variable 2 corr 1.93174362 , in sigma: 19.3174362 12 most relevant variable 13 corr 1.81056225 , in sigma: 18.1056225 13 most relevant variable 9 corr 1.54369771 , in sigma: 15.4369771 14 most relevant variable 32 corr 1.5234437 , in sigma: 15.234437 15 most relevant variable 33 corr 1.27007246 , in sigma: 12.7007246 16 most relevant variable 5 corr 1.13345158 , in sigma: 11.3345158 17 most relevant variable 10 corr 1.2482779 , in sigma: 12.482779 18 most relevant variable 16 corr 1.05859482 , in sigma: 10.5859482 19 most relevant variable 28 corr 0.930817127 , in sigma: 9.30817127 20 most relevant variable 22 corr 0.871815443 , in sigma: 8.71815443 21 most relevant variable 3 corr 0.773010194 , in sigma: 7.73010194 22 most relevant variable 4 corr 0.525523841 , in sigma: 5.25523841 23 most relevant variable 19 corr 0.484425634 , in sigma: 4.84425634 24 most relevant variable 7 corr 0.472851753 , in sigma: 4.72851753 25 most relevant variable 14 corr 0.30188632 , in sigma: 3.0188632 26 most relevant variable 31 corr 0.229901165 , in sigma: 2.29901165 27 most relevant variable 27 corr 0.0767272264 , in sigma: 0.767272264 28 most relevant variable 25 corr 0.228896379 , in sigma: 2.28896379 29 most relevant variable 15 corr 0.185067013 , in sigma: 1.85067013 30 most relevant variable 24 corr 0.00928453822 , in sigma: 0.0928453822 31 most relevant variable 23 corr 0.0123890098 , in sigma: 0.123890098 32 most relevant variable 26 corr 0.00767540606 , in sigma: 0.0767540606 33 most relevant variable 21 corr 0.00698217656 , in sigma: 0.0698217656 global correlations between input variables: variable 2: 40.5677056 % variable 3: 72.7038977 % variable 4: 56.9753251 % variable 5: 87.4020475 % variable 6: 90.2760513 % variable 7: 83.3601741 % variable 8: 88.5103837 % variable 9: 11.2081237 % variable 10: 50.5657164 % variable 11: 89.3502075 % variable 12: 82.0488608 % variable 13: 70.7587399 % variable 14: 80.3033245 % variable 15: 77.9148881 % variable 16: 82.0310467 % variable 17: 58.1808294 % variable 18: 54.4579692 % variable 19: 88.8475474 % variable 20: 94.7446818 % variable 21: 92.9394276 % variable 22: 92.6449356 % variable 23: 96.7968032 % variable 24: 96.9044608 % variable 25: 93.5992453 % variable 26: 84.6063722 % variable 27: 92.971338 % variable 28: 84.2496976 % variable 29: 72.7849773 % variable 30: 61.3157017 % variable 31: 93.3419468 % variable 32: 79.927467 % variable 33: 79.8543116 % variable 34: 70.2674711 % significance loss when removing single variables: variable 2: corr = 2.00233602 % , sigma = 20.0233602 variable 3: corr = 0.281903172 % , sigma = 2.81903172 variable 4: corr = 0.534258036 % , sigma = 5.34258036 variable 5: corr = 1.21219254 % , sigma = 12.1219254 variable 6: corr = 7.03943418 % , sigma = 70.3943418 variable 7: corr = 0.485210966 % , sigma = 4.85210966 variable 8: corr = 5.77792899 % , sigma = 57.7792899 variable 9: corr = 1.45092243 % , sigma = 14.5092243 variable 10: corr = 1.27065376 % , sigma = 12.7065376 variable 11: corr = 5.88596166 % , sigma = 58.8596166 variable 12: corr = 2.60229099 % , sigma = 26.0229099 variable 13: corr = 1.07517658 % , sigma = 10.7517658 variable 14: corr = 0.358466797 % , sigma = 3.58466797 variable 15: corr = 0.184209239 % , sigma = 1.84209239 variable 16: corr = 1.2963369 % , sigma = 12.963369 variable 17: corr = 36.2019538 % , sigma = 362.019538 variable 18: corr = 2.61103723 % , sigma = 26.1103723 variable 19: corr = 0.477370047 % , sigma = 4.77370047 variable 20: corr = 0.391231272 % , sigma = 3.91231272 variable 21: corr = 0.00698217644 % , sigma = 0.0698217644 variable 22: corr = 0.680378168 % , sigma = 6.80378168 variable 23: corr = 0.0132820054 % , sigma = 0.132820054 variable 24: corr = 0.0148785231 % , sigma = 0.148785231 variable 25: corr = 0.199212699 % , sigma = 1.99212699 variable 26: corr = 0.00767408832 % , sigma = 0.0767408832 variable 27: corr = 0.227152581 % , sigma = 2.27152581 variable 28: corr = 0.878967363 % , sigma = 8.78967363 variable 29: corr = 9.21229127 % , sigma = 92.1229127 variable 30: corr = 4.23448449 % , sigma = 42.3448449 variable 31: corr = 0.240661855 % , sigma = 2.40661855 variable 32: corr = 1.88412174 % , sigma = 18.8412174 variable 33: corr = 1.0772514 % , sigma = 10.772514 variable 34: corr = 11.0695497 % , sigma = 110.695497 Keep only 25 most significant input variables Sum of Weights for output node 2 1000000. FLAT2DEF: TAB(KK=1, II= 2) = -1.49296403 create test 22 plots 9100/9200: 2 NVar: 26. 4373 --------- Entering internal boost mode: --------- Weightsum per Output Node: 1000000. Starting analysis with 48 variables. PREPRO: (sigma of derived input)/eigenvalue # 1 : 2.89779997 PREPRO: (sigma of derived input)/eigenvalue # 2 : 2.58715844 PREPRO: (sigma of derived input)/eigenvalue # 3 : 2.14735746 PREPRO: (sigma of derived input)/eigenvalue # 4 : 2.01831675 PREPRO: (sigma of derived input)/eigenvalue # 5 : 1.78345585 PREPRO: (sigma of derived input)/eigenvalue # 6 : 1.57199275 PREPRO: (sigma of derived input)/eigenvalue # 7 : 1.54618382 PREPRO: (sigma of derived input)/eigenvalue # 8 : 1.38288975 PREPRO: (sigma of derived input)/eigenvalue # 9 : 1.24611032 PREPRO: (sigma of derived input)/eigenvalue # 10 : 1.17368925 PREPRO: (sigma of derived input)/eigenvalue # 11 : 1.11667597 PREPRO: (sigma of derived input)/eigenvalue # 12 : 1.01035762 PREPRO: (sigma of derived input)/eigenvalue # 13 : 0.999845207 PREPRO: (sigma of derived input)/eigenvalue # 14 : 0.992073953 PREPRO: (sigma of derived input)/eigenvalue # 15 : 0.927130878 PREPRO: (sigma of derived input)/eigenvalue # 16 : 0.885694623 PREPRO: (sigma of derived input)/eigenvalue # 17 : 0.802938223 PREPRO: (sigma of derived input)/eigenvalue # 18 : 0.762526155 PREPRO: (sigma of derived input)/eigenvalue # 19 : 0.700044334 PREPRO: (sigma of derived input)/eigenvalue # 20 : 0.674194396 PREPRO: (sigma of derived input)/eigenvalue # 21 : 0.638647795 PREPRO: (sigma of derived input)/eigenvalue # 22 : 0.609125972 PREPRO: (sigma of derived input)/eigenvalue # 23 : 0.59655118 PREPRO: (sigma of derived input)/eigenvalue # 24 : 0.564766407 PREPRO: (sigma of derived input)/eigenvalue # 25 : 0.524766147 PREPRO: (sigma of derived input)/eigenvalue # 26 : 0.492446721 PREPRO: (sigma of derived input)/eigenvalue # 27 : 0.469897002 PREPRO: (sigma of derived input)/eigenvalue # 28 : 0.427786559 PREPRO: (sigma of derived input)/eigenvalue # 29 : 0.415494591 PREPRO: (sigma of derived input)/eigenvalue # 30 : 0.397653043 PREPRO: (sigma of derived input)/eigenvalue # 31 : 0.370321184 PREPRO: (sigma of derived input)/eigenvalue # 32 : 0.330254048 PREPRO: (sigma of derived input)/eigenvalue # 33 : 0.309325665 PREPRO: (sigma of derived input)/eigenvalue # 34 : 0.287834793 PREPRO: (sigma of derived input)/eigenvalue # 35 : 0.268534094 PREPRO: (sigma of derived input)/eigenvalue # 36 : 0.173688874 PREPRO: (sigma of derived input)/eigenvalue # 37 : 0.168474704 PREPRO: (sigma of derived input)/eigenvalue # 38 : 0.106204413 PREPRO: (sigma of derived input)/eigenvalue # 39 : 0.000432730681 PREPRO: (sigma of derived input)/eigenvalue # 40 : 0.000343025051 PREPRO: (sigma of derived input)/eigenvalue # 41 : 0.000306366012 PREPRO: (sigma of derived input)/eigenvalue # 42 : 0.000262879563 PREPRO: (sigma of derived input)/eigenvalue # 43 : 0.00022365358 PREPRO: (sigma of derived input)/eigenvalue # 44 : 0.000255618768 PREPRO: (sigma of derived input)/eigenvalue # 45 : 0.0002888538 PREPRO: (sigma of derived input)/eigenvalue # 46 : 0.000314289529 PREPRO: (sigma of derived input)/eigenvalue # 47 : 0.000431983761 PREPRO: (sigma of derived input)/eigenvalue # 48 : 0.000437252311 Using 38 variables out of 48 for boost net! VARIABLES BEFORE BOOST 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 25.0 26.0 27.0 28.0 29.0 30.0 31.0 32.0 33.0 34.0 35.0 36.0 37.0 38.0 39.0 0 0.7 2.9 2.6 2.1 2.0 1.8 1.6 1.5 1.4 1.2 1.2 1.1 1.0 1.0 1.0 0.9 0.9 0.8 0.8 0.7 0.7 0.6 0.6 0.6 0.6 0.5 0.5 0.5 0.4 0.4 0.4 0.4 0.3 0.3 0.3 0.3 0.2 0.2 0.1 1 100.0 -5.3 -0.3 -20.2 -35.2 38.4 -6.1 -3.3 -4.5 0.4 -0.5 13.6 5.6 0.8 -2.2 -8.8 9.5 -0.5 3.3 -4.9 13.0 -8.0 4.2 -5.6 -0.6 -5.8 -0.1 7.6 0.2 4.0 -0.2 -0.6 -1.3 -3.7 1.8 -0.6 -6.4 9.9 -0.4 2 -5.3 100.0 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 3 -0.3 0.0 100.0 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 4 -20.2 0.0 0.0 100.0 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 5 -35.2 0.0 0.0 0.0 100.0 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 6 38.4 0.0 0.0 0.0 0.0 100.0 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 7 -6.1 0.0 0.0 0.0 0.0 0.0 100.0 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 8 -3.3 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 9 -4.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 10 0.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 11 -0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 12 13.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 13 5.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 14 0.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 15 -2.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 16 -8.8 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 0.0 100.0 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 17 9.5 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 0.0 100.0 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 18 -0.5 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 0.0 100.0 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 19 3.3 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 0.0 100.0 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 20 -4.9 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 0.0 100.0 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 21 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 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 22 -8.0 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 0.0 100.0 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 23 4.2 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 0.0 100.0 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 24 -5.6 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 0.0 100.0 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 25 -0.6 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 0.0 100.0 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 26 -5.8 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 0.0 100.0 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 27 -0.1 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 28 7.6 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29 0.2 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 30 4.0 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 31 -0.2 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 32 -0.6 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 33 -1.3 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 34 -3.7 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 35 1.8 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 0.0 100.0 0.0 0.0 0.0 0.0 36 -0.6 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 0.0 100.0 0.0 0.0 0.0 37 -6.4 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 0.0 100.0 0.0 0.0 38 9.9 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 0.0 100.0 0.0 39 -0.4 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 0.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 64.7696317 PREPRO: MEAN( 1)= -0.750382 WIDTH 0.436927291 PREPRO: MEAN( 2)= -6.7642957E-08 WIDTH 8.39724396 PREPRO: MEAN( 3)= 2.10318118E-08 WIDTH 6.69339073 PREPRO: MEAN( 4)= 1.38430223E-08 WIDTH 4.61114479 PREPRO: MEAN( 5)= -1.18442159E-09 WIDTH 4.07360271 PREPRO: MEAN( 6)= 1.07741983E-07 WIDTH 3.18071504 PREPRO: MEAN( 7)= 8.11510682E-08 WIDTH 2.47116045 PREPRO: MEAN( 8)= 1.71578901E-07 WIDTH 2.39068434 PREPRO: MEAN( 9)= -3.24633243E-08 WIDTH 1.91238492 PREPRO: MEAN( 10)= 9.74902883E-08 WIDTH 1.55279127 PREPRO: MEAN( 11)= 3.32095623E-08 WIDTH 1.37754627 PREPRO: MEAN( 12)= 5.90269645E-08 WIDTH 1.24696532 PREPRO: MEAN( 13)= 4.111133E-08 WIDTH 1.02082181 PREPRO: MEAN( 14)= 9.83939331E-10 WIDTH 0.999690406 PREPRO: MEAN( 15)= 2.19530982E-08 WIDTH 0.984211353 PREPRO: MEAN( 16)= -4.55778374E-08 WIDTH 0.859571297 PREPRO: MEAN( 17)= -4.60879132E-09 WIDTH 0.784454816 PREPRO: MEAN( 18)= 1.74423903E-08 WIDTH 0.644709693 PREPRO: MEAN( 19)= 1.92044452E-08 WIDTH 0.581445961 PREPRO: MEAN( 20)= 7.64888278E-08 WIDTH 0.490062083 PREPRO: MEAN( 21)= 7.77006242E-09 WIDTH 0.45453808 PREPRO: MEAN( 22)= 2.03236281E-08 WIDTH 0.407870888 PREPRO: MEAN( 23)= 3.4147406E-08 WIDTH 0.371034693 PREPRO: MEAN( 24)= 1.16747525E-08 WIDTH 0.35587346 PREPRO: MEAN( 25)= 2.51395556E-08 WIDTH 0.318960935 PREPRO: MEAN( 26)= -6.25536218E-09 WIDTH 0.275379462 PREPRO: MEAN( 27)= 4.20618488E-09 WIDTH 0.24250364 PREPRO: MEAN( 28)= -1.81740597E-08 WIDTH 0.220803133 PREPRO: MEAN( 29)= -1.56179238E-08 WIDTH 0.183001361 PREPRO: MEAN( 30)= 2.34544016E-08 WIDTH 0.172635759 PREPRO: MEAN( 31)= -9.31161642E-09 WIDTH 0.158127948 PREPRO: MEAN( 32)= 2.60067284E-08 WIDTH 0.137137898 PREPRO: MEAN( 33)= 5.00006229E-09 WIDTH 0.109067795 PREPRO: MEAN( 34)= -1.85316307E-08 WIDTH 0.0956824605 PREPRO: MEAN( 35)= 5.89517131E-09 WIDTH 0.0828488235 PREPRO: MEAN( 36)= 5.53875882E-09 WIDTH 0.0721104722 PREPRO: MEAN( 37)= -5.32234181E-09 WIDTH 0.0301678319 PREPRO: MEAN( 38)= -2.36145617E-09 WIDTH 0.0283837847 PREPRO: MEAN( 39)= -1.78935757E-08 WIDTH 0.0112793884 ------------------------------------- Teacher: actual network topology: Nodes(1) = 39 Nodes(2) = 39 Nodes(3) = 1 ------------------------------------- NBPRESET: start with small weights from bias node for IFIXSHAPE > 0 trainings --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 212.854462 sigma out 39 active outputs RANK 2 NODE 5 --> 151.679214 sigma out 39 active outputs RANK 3 NODE 4 --> 140.52063 sigma out 39 active outputs RANK 4 NODE 6 --> 127.507988 sigma out 39 active outputs RANK 5 NODE 3 --> 111.047356 sigma out 39 active outputs RANK 6 NODE 2 --> 111.041542 sigma out 39 active outputs RANK 7 NODE 7 --> 77.3167953 sigma out 39 active outputs RANK 8 NODE 17 --> 76.9093094 sigma out 39 active outputs RANK 9 NODE 12 --> 73.357338 sigma out 39 active outputs RANK 10 NODE 22 --> 69.2367859 sigma out 39 active outputs RANK 11 NODE 16 --> 68.7519531 sigma out 39 active outputs RANK 12 NODE 8 --> 68.2742844 sigma out 39 active outputs RANK 13 NODE 15 --> 66.7656326 sigma out 39 active outputs RANK 14 NODE 13 --> 66.4886475 sigma out 39 active outputs RANK 15 NODE 11 --> 66.4683533 sigma out 39 active outputs RANK 16 NODE 19 --> 64.8809433 sigma out 39 active outputs RANK 17 NODE 18 --> 64.0091629 sigma out 39 active outputs RANK 18 NODE 9 --> 63.1519241 sigma out 39 active outputs RANK 19 NODE 21 --> 62.7285233 sigma out 39 active outputs RANK 20 NODE 29 --> 61.9624443 sigma out 39 active outputs RANK 21 NODE 31 --> 61.2707672 sigma out 39 active outputs RANK 22 NODE 33 --> 59.7146683 sigma out 39 active outputs RANK 23 NODE 20 --> 58.273365 sigma out 39 active outputs RANK 24 NODE 23 --> 57.9370193 sigma out 39 active outputs RANK 25 NODE 30 --> 57.0979958 sigma out 39 active outputs RANK 26 NODE 36 --> 56.0665131 sigma out 39 active outputs RANK 27 NODE 10 --> 55.3504486 sigma out 39 active outputs RANK 28 NODE 25 --> 54.0578918 sigma out 39 active outputs RANK 29 NODE 14 --> 53.5607147 sigma out 39 active outputs RANK 30 NODE 26 --> 51.3310394 sigma out 39 active outputs RANK 31 NODE 32 --> 50.9329033 sigma out 39 active outputs RANK 32 NODE 39 --> 50.552063 sigma out 39 active outputs RANK 33 NODE 24 --> 49.1142235 sigma out 39 active outputs RANK 34 NODE 28 --> 49.0403442 sigma out 39 active outputs RANK 35 NODE 38 --> 48.4980774 sigma out 39 active outputs RANK 36 NODE 35 --> 48.4795952 sigma out 39 active outputs RANK 37 NODE 27 --> 47.4806557 sigma out 39 active outputs RANK 38 NODE 37 --> 45.7423553 sigma out 39 active outputs RANK 39 NODE 34 --> 42.5955467 sigma out 39 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 8 --> 143.663116 sigma in 39act. ( 157.040146 sig out 1act.) RANK 2 NODE 3 --> 139.754105 sigma in 39act. ( 152.317444 sig out 1act.) RANK 3 NODE 12 --> 118.342453 sigma in 39act. ( 146.456696 sig out 1act.) RANK 4 NODE 14 --> 117.829575 sigma in 39act. ( 104.850464 sig out 1act.) RANK 5 NODE 18 --> 113.13443 sigma in 39act. ( 115.264557 sig out 1act.) RANK 6 NODE 39 --> 106.462936 sigma in 39act. ( 114.54615 sig out 1act.) RANK 7 NODE 34 --> 101.810684 sigma in 39act. ( 107.075806 sig out 1act.) RANK 8 NODE 29 --> 93.8472366 sigma in 39act. ( 111.896523 sig out 1act.) RANK 9 NODE 30 --> 89.4084854 sigma in 39act. ( 109.929512 sig out 1act.) RANK 10 NODE 35 --> 88.9991684 sigma in 39act. ( 97.1741562 sig out 1act.) RANK 11 NODE 19 --> 84.5340195 sigma in 39act. ( 104.279411 sig out 1act.) RANK 12 NODE 11 --> 82.7565079 sigma in 39act. ( 80.535675 sig out 1act.) RANK 13 NODE 37 --> 82.0431519 sigma in 39act. ( 99.7770996 sig out 1act.) RANK 14 NODE 31 --> 81.1036377 sigma in 39act. ( 87.7346878 sig out 1act.) RANK 15 NODE 4 --> 79.3792648 sigma in 39act. ( 79.721199 sig out 1act.) RANK 16 NODE 7 --> 76.2129517 sigma in 39act. ( 79.6997757 sig out 1act.) RANK 17 NODE 24 --> 75.8276215 sigma in 39act. ( 73.2965164 sig out 1act.) RANK 18 NODE 27 --> 73.9970551 sigma in 39act. ( 86.3984146 sig out 1act.) RANK 19 NODE 22 --> 73.4239197 sigma in 39act. ( 71.076622 sig out 1act.) RANK 20 NODE 6 --> 68.5700073 sigma in 39act. ( 79.5055618 sig out 1act.) RANK 21 NODE 10 --> 67.4328995 sigma in 39act. ( 36.0368156 sig out 1act.) RANK 22 NODE 33 --> 66.8893738 sigma in 39act. ( 67.9874268 sig out 1act.) RANK 23 NODE 38 --> 64.9554138 sigma in 39act. ( 52.5364685 sig out 1act.) RANK 24 NODE 23 --> 64.1469879 sigma in 39act. ( 55.8486481 sig out 1act.) RANK 25 NODE 2 --> 61.4641647 sigma in 39act. ( 36.5014038 sig out 1act.) RANK 26 NODE 5 --> 60.4151573 sigma in 39act. ( 53.7365189 sig out 1act.) RANK 27 NODE 36 --> 59.9119415 sigma in 39act. ( 57.6101265 sig out 1act.) RANK 28 NODE 17 --> 59.4371109 sigma in 39act. ( 43.4853935 sig out 1act.) RANK 29 NODE 16 --> 55.4180374 sigma in 39act. ( 6.10333204 sig out 1act.) RANK 30 NODE 20 --> 54.7199898 sigma in 39act. ( 54.4686508 sig out 1act.) RANK 31 NODE 28 --> 51.7821922 sigma in 39act. ( 4.48915529 sig out 1act.) RANK 32 NODE 15 --> 49.8143272 sigma in 39act. ( 18.2907276 sig out 1act.) RANK 33 NODE 26 --> 49.1918106 sigma in 39act. ( 28.5441437 sig out 1act.) RANK 34 NODE 32 --> 48.2781639 sigma in 39act. ( 10.1107616 sig out 1act.) RANK 35 NODE 25 --> 47.9164352 sigma in 39act. ( 34.3069267 sig out 1act.) RANK 36 NODE 9 --> 47.6304169 sigma in 39act. ( 18.0154591 sig out 1act.) RANK 37 NODE 1 --> 46.1443253 sigma in 39act. ( 16.3330936 sig out 1act.) RANK 38 NODE 13 --> 44.9132729 sigma in 39act. ( 15.6045275 sig out 1act.) RANK 39 NODE 21 --> 44.6119308 sigma in 39act. ( 15.7049389 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 157.040146 sigma out 1act.( 143.663116 sig in 39act.) RANK 2 NODE 3 --> 152.317444 sigma out 1act.( 139.754105 sig in 39act.) RANK 3 NODE 12 --> 146.456696 sigma out 1act.( 118.342453 sig in 39act.) RANK 4 NODE 18 --> 115.264557 sigma out 1act.( 113.13443 sig in 39act.) RANK 5 NODE 39 --> 114.54615 sigma out 1act.( 106.462936 sig in 39act.) RANK 6 NODE 29 --> 111.896523 sigma out 1act.( 93.8472366 sig in 39act.) RANK 7 NODE 30 --> 109.929512 sigma out 1act.( 89.4084854 sig in 39act.) RANK 8 NODE 34 --> 107.075806 sigma out 1act.( 101.810684 sig in 39act.) RANK 9 NODE 14 --> 104.850464 sigma out 1act.( 117.829575 sig in 39act.) RANK 10 NODE 19 --> 104.279411 sigma out 1act.( 84.5340195 sig in 39act.) RANK 11 NODE 37 --> 99.7770996 sigma out 1act.( 82.0431519 sig in 39act.) RANK 12 NODE 35 --> 97.1741562 sigma out 1act.( 88.9991684 sig in 39act.) RANK 13 NODE 31 --> 87.7346878 sigma out 1act.( 81.1036377 sig in 39act.) RANK 14 NODE 27 --> 86.3984146 sigma out 1act.( 73.9970551 sig in 39act.) RANK 15 NODE 11 --> 80.535675 sigma out 1act.( 82.7565079 sig in 39act.) RANK 16 NODE 4 --> 79.721199 sigma out 1act.( 79.3792648 sig in 39act.) RANK 17 NODE 7 --> 79.6997757 sigma out 1act.( 76.2129517 sig in 39act.) RANK 18 NODE 6 --> 79.5055618 sigma out 1act.( 68.5700073 sig in 39act.) RANK 19 NODE 24 --> 73.2965164 sigma out 1act.( 75.8276215 sig in 39act.) RANK 20 NODE 22 --> 71.076622 sigma out 1act.( 73.4239197 sig in 39act.) RANK 21 NODE 33 --> 67.9874268 sigma out 1act.( 66.8893738 sig in 39act.) RANK 22 NODE 36 --> 57.6101265 sigma out 1act.( 59.9119415 sig in 39act.) RANK 23 NODE 23 --> 55.8486481 sigma out 1act.( 64.1469879 sig in 39act.) RANK 24 NODE 20 --> 54.4686508 sigma out 1act.( 54.7199898 sig in 39act.) RANK 25 NODE 5 --> 53.7365189 sigma out 1act.( 60.4151573 sig in 39act.) RANK 26 NODE 38 --> 52.5364685 sigma out 1act.( 64.9554138 sig in 39act.) RANK 27 NODE 17 --> 43.4853935 sigma out 1act.( 59.4371109 sig in 39act.) RANK 28 NODE 2 --> 36.5014038 sigma out 1act.( 61.4641647 sig in 39act.) RANK 29 NODE 10 --> 36.0368156 sigma out 1act.( 67.4328995 sig in 39act.) RANK 30 NODE 25 --> 34.3069267 sigma out 1act.( 47.9164352 sig in 39act.) RANK 31 NODE 26 --> 28.5441437 sigma out 1act.( 49.1918106 sig in 39act.) RANK 32 NODE 15 --> 18.2907276 sigma out 1act.( 49.8143272 sig in 39act.) RANK 33 NODE 9 --> 18.0154591 sigma out 1act.( 47.6304169 sig in 39act.) RANK 34 NODE 1 --> 16.3330936 sigma out 1act.( 46.1443253 sig in 39act.) RANK 35 NODE 21 --> 15.7049389 sigma out 1act.( 44.6119308 sig in 39act.) RANK 36 NODE 13 --> 15.6045275 sigma out 1act.( 44.9132729 sig in 39act.) RANK 37 NODE 32 --> 10.1107616 sigma out 1act.( 48.2781639 sig in 39act.) RANK 38 NODE 16 --> 6.10333204 sigma out 1act.( 55.4180374 sig in 39act.) RANK 39 NODE 28 --> 4.48915529 sigma out 1act.( 51.7821922 sig in 39act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 501.916656 sigma in 39 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 248.2005 sigma out 39 active outputs RANK 2 NODE 5 --> 163.081711 sigma out 39 active outputs RANK 3 NODE 4 --> 145.494308 sigma out 39 active outputs RANK 4 NODE 6 --> 135.365234 sigma out 39 active outputs RANK 5 NODE 3 --> 120.9039 sigma out 39 active outputs RANK 6 NODE 2 --> 119.342171 sigma out 39 active outputs RANK 7 NODE 7 --> 67.9421082 sigma out 39 active outputs RANK 8 NODE 8 --> 62.9608688 sigma out 39 active outputs RANK 9 NODE 12 --> 61.4166489 sigma out 39 active outputs RANK 10 NODE 17 --> 61.1222458 sigma out 39 active outputs RANK 11 NODE 16 --> 56.3027687 sigma out 39 active outputs RANK 12 NODE 11 --> 50.9278946 sigma out 39 active outputs RANK 13 NODE 9 --> 46.7913094 sigma out 39 active outputs RANK 14 NODE 18 --> 46.1844254 sigma out 39 active outputs RANK 15 NODE 10 --> 45.6982727 sigma out 39 active outputs RANK 16 NODE 21 --> 44.4191971 sigma out 39 active outputs RANK 17 NODE 15 --> 43.8773499 sigma out 39 active outputs RANK 18 NODE 19 --> 40.4755135 sigma out 39 active outputs RANK 19 NODE 20 --> 38.6597786 sigma out 39 active outputs RANK 20 NODE 23 --> 38.1513329 sigma out 39 active outputs RANK 21 NODE 22 --> 37.2051353 sigma out 39 active outputs RANK 22 NODE 13 --> 37.1664162 sigma out 39 active outputs RANK 23 NODE 24 --> 27.6140633 sigma out 39 active outputs RANK 24 NODE 25 --> 27.4541054 sigma out 39 active outputs RANK 25 NODE 28 --> 26.085804 sigma out 39 active outputs RANK 26 NODE 14 --> 25.9865341 sigma out 39 active outputs RANK 27 NODE 32 --> 25.4065228 sigma out 39 active outputs RANK 28 NODE 29 --> 24.0319595 sigma out 39 active outputs RANK 29 NODE 30 --> 23.5478306 sigma out 39 active outputs RANK 30 NODE 31 --> 23.3619671 sigma out 39 active outputs RANK 31 NODE 26 --> 21.920578 sigma out 39 active outputs RANK 32 NODE 33 --> 21.2103519 sigma out 39 active outputs RANK 33 NODE 27 --> 20.7200832 sigma out 39 active outputs RANK 34 NODE 36 --> 15.4556503 sigma out 39 active outputs RANK 35 NODE 34 --> 13.8380461 sigma out 39 active outputs RANK 36 NODE 35 --> 13.2371483 sigma out 39 active outputs RANK 37 NODE 38 --> 9.62100887 sigma out 39 active outputs RANK 38 NODE 37 --> 7.04497099 sigma out 39 active outputs RANK 39 NODE 39 --> 5.36898661 sigma out 39 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 153.473709 sigma in 39act. ( 98.6054916 sig out 1act.) RANK 2 NODE 8 --> 152.604248 sigma in 39act. ( 109.679527 sig out 1act.) RANK 3 NODE 18 --> 127.285393 sigma in 39act. ( 72.5881805 sig out 1act.) RANK 4 NODE 14 --> 121.333916 sigma in 39act. ( 73.8109055 sig out 1act.) RANK 5 NODE 12 --> 119.68042 sigma in 39act. ( 107.494423 sig out 1act.) RANK 6 NODE 34 --> 109.614807 sigma in 39act. ( 63.9748764 sig out 1act.) RANK 7 NODE 39 --> 107.626457 sigma in 39act. ( 80.92836 sig out 1act.) RANK 8 NODE 29 --> 95.4770508 sigma in 39act. ( 74.8892593 sig out 1act.) RANK 9 NODE 30 --> 89.668869 sigma in 39act. ( 72.7746201 sig out 1act.) RANK 10 NODE 19 --> 87.3959503 sigma in 39act. ( 68.1944504 sig out 1act.) RANK 11 NODE 35 --> 78.2781525 sigma in 39act. ( 75.4985962 sig out 1act.) RANK 12 NODE 37 --> 74.7839737 sigma in 39act. ( 78.1088867 sig out 1act.) RANK 13 NODE 24 --> 71.7890549 sigma in 39act. ( 47.6143951 sig out 1act.) RANK 14 NODE 11 --> 70.2624207 sigma in 39act. ( 50.012558 sig out 1act.) RANK 15 NODE 7 --> 67.9830017 sigma in 39act. ( 57.1848183 sig out 1act.) RANK 16 NODE 4 --> 67.3748474 sigma in 39act. ( 55.0410461 sig out 1act.) RANK 17 NODE 27 --> 66.0422592 sigma in 39act. ( 59.5912476 sig out 1act.) RANK 18 NODE 31 --> 65.7176437 sigma in 39act. ( 61.0092201 sig out 1act.) RANK 19 NODE 22 --> 61.0430717 sigma in 39act. ( 49.3207741 sig out 1act.) RANK 20 NODE 33 --> 55.2547531 sigma in 39act. ( 48.2675667 sig out 1act.) RANK 21 NODE 6 --> 54.6346588 sigma in 39act. ( 56.6149788 sig out 1act.) RANK 22 NODE 23 --> 51.7515984 sigma in 39act. ( 37.4441681 sig out 1act.) RANK 23 NODE 38 --> 41.7171211 sigma in 39act. ( 36.7599449 sig out 1act.) RANK 24 NODE 36 --> 41.0046616 sigma in 39act. ( 40.4643173 sig out 1act.) RANK 25 NODE 20 --> 40.200882 sigma in 39act. ( 39.8337326 sig out 1act.) RANK 26 NODE 17 --> 33.4708977 sigma in 39act. ( 33.280899 sig out 1act.) RANK 27 NODE 5 --> 33.3217545 sigma in 39act. ( 39.5877838 sig out 1act.) RANK 28 NODE 2 --> 28.8541336 sigma in 39act. ( 25.0228195 sig out 1act.) RANK 29 NODE 10 --> 24.662796 sigma in 39act. ( 27.7502728 sig out 1act.) RANK 30 NODE 25 --> 24.6295586 sigma in 39act. ( 25.2043171 sig out 1act.) RANK 31 NODE 26 --> 19.9210262 sigma in 39act. ( 19.7269402 sig out 1act.) RANK 32 NODE 15 --> 15.0253477 sigma in 39act. ( 13.0189428 sig out 1act.) RANK 33 NODE 13 --> 13.9953995 sigma in 39act. ( 10.2271099 sig out 1act.) RANK 34 NODE 9 --> 13.2521038 sigma in 39act. ( 11.953352 sig out 1act.) RANK 35 NODE 1 --> 12.2900333 sigma in 39act. ( 11.1444874 sig out 1act.) RANK 36 NODE 21 --> 12.2108412 sigma in 39act. ( 12.0703697 sig out 1act.) RANK 37 NODE 32 --> 9.22774506 sigma in 39act. ( 6.75257063 sig out 1act.) RANK 38 NODE 16 --> 8.27601433 sigma in 39act. ( 4.31906891 sig out 1act.) RANK 39 NODE 28 --> 7.57968235 sigma in 39act. ( 3.22843933 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 109.679527 sigma out 1act.( 152.604248 sig in 39act.) RANK 2 NODE 12 --> 107.494423 sigma out 1act.( 119.68042 sig in 39act.) RANK 3 NODE 3 --> 98.6054916 sigma out 1act.( 153.473709 sig in 39act.) RANK 4 NODE 39 --> 80.92836 sigma out 1act.( 107.626457 sig in 39act.) RANK 5 NODE 37 --> 78.1088867 sigma out 1act.( 74.7839737 sig in 39act.) RANK 6 NODE 35 --> 75.4985962 sigma out 1act.( 78.2781525 sig in 39act.) RANK 7 NODE 29 --> 74.8892593 sigma out 1act.( 95.4770508 sig in 39act.) RANK 8 NODE 14 --> 73.8109055 sigma out 1act.( 121.333916 sig in 39act.) RANK 9 NODE 30 --> 72.7746201 sigma out 1act.( 89.668869 sig in 39act.) RANK 10 NODE 18 --> 72.5881805 sigma out 1act.( 127.285393 sig in 39act.) RANK 11 NODE 19 --> 68.1944504 sigma out 1act.( 87.3959503 sig in 39act.) RANK 12 NODE 34 --> 63.9748764 sigma out 1act.( 109.614807 sig in 39act.) RANK 13 NODE 31 --> 61.0092201 sigma out 1act.( 65.7176437 sig in 39act.) RANK 14 NODE 27 --> 59.5912476 sigma out 1act.( 66.0422592 sig in 39act.) RANK 15 NODE 7 --> 57.1848183 sigma out 1act.( 67.9830017 sig in 39act.) RANK 16 NODE 6 --> 56.6149788 sigma out 1act.( 54.6346588 sig in 39act.) RANK 17 NODE 4 --> 55.0410461 sigma out 1act.( 67.3748474 sig in 39act.) RANK 18 NODE 11 --> 50.012558 sigma out 1act.( 70.2624207 sig in 39act.) RANK 19 NODE 22 --> 49.3207741 sigma out 1act.( 61.0430717 sig in 39act.) RANK 20 NODE 33 --> 48.2675667 sigma out 1act.( 55.2547531 sig in 39act.) RANK 21 NODE 24 --> 47.6143951 sigma out 1act.( 71.7890549 sig in 39act.) RANK 22 NODE 36 --> 40.4643173 sigma out 1act.( 41.0046616 sig in 39act.) RANK 23 NODE 20 --> 39.8337326 sigma out 1act.( 40.200882 sig in 39act.) RANK 24 NODE 5 --> 39.5877838 sigma out 1act.( 33.3217545 sig in 39act.) RANK 25 NODE 23 --> 37.4441681 sigma out 1act.( 51.7515984 sig in 39act.) RANK 26 NODE 38 --> 36.7599449 sigma out 1act.( 41.7171211 sig in 39act.) RANK 27 NODE 17 --> 33.280899 sigma out 1act.( 33.4708977 sig in 39act.) RANK 28 NODE 10 --> 27.7502728 sigma out 1act.( 24.662796 sig in 39act.) RANK 29 NODE 25 --> 25.2043171 sigma out 1act.( 24.6295586 sig in 39act.) RANK 30 NODE 2 --> 25.0228195 sigma out 1act.( 28.8541336 sig in 39act.) RANK 31 NODE 26 --> 19.7269402 sigma out 1act.( 19.9210262 sig in 39act.) RANK 32 NODE 15 --> 13.0189428 sigma out 1act.( 15.0253477 sig in 39act.) RANK 33 NODE 21 --> 12.0703697 sigma out 1act.( 12.2108412 sig in 39act.) RANK 34 NODE 9 --> 11.953352 sigma out 1act.( 13.2521038 sig in 39act.) RANK 35 NODE 1 --> 11.1444874 sigma out 1act.( 12.2900333 sig in 39act.) RANK 36 NODE 13 --> 10.2271099 sigma out 1act.( 13.9953995 sig in 39act.) RANK 37 NODE 32 --> 6.75257063 sigma out 1act.( 9.22774506 sig in 39act.) RANK 38 NODE 16 --> 4.31906891 sigma out 1act.( 8.27601433 sig in 39act.) RANK 39 NODE 28 --> 3.22843933 sigma out 1act.( 7.57968235 sig in 39act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 346.650055 sigma in 39 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.473692209 *** contribution from regularisation: 0.00101233157 *** contribution from error: -0.474704534 *** contribution from DIAG: 5.20760441E-05 *********************************************** --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.522614539 *** contribution from regularisation: 0.00268398877 *** contribution from error: -0.525298536 *** contribution from DIAG: 6.31905132E-05 *********************************************** ENTER BFGS code START -522651.322 -0.236643508 0. EXIT FROM BFGS code FG_START 0. -0.236643508 0. --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.525726974 *** contribution from regularisation: 0.00204657135 *** contribution from error: -0.527773559 *** contribution from DIAG: 9.74255454E-05 *********************************************** ENTER BFGS code FG_START -525629.544 -0.236643508 -824.206421 EXIT FROM BFGS code FG_LNSRCH 0. -0.268664271 0. --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.472920984 *** contribution from regularisation: 0.00224175397 *** contribution from error: -0.475162745 *** contribution from DIAG: 0.00128095795 *********************************************** ENTER BFGS code FG_LNSRCH -471640.031 -0.268664271 -13244.3125 EXIT FROM BFGS code FG_LNSRCH 0. -0.246606126 0. --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.524609268 *** contribution from regularisation: 0.00226845103 *** contribution from error: -0.526877701 *** contribution from DIAG: 9.90913541E-05 *********************************************** ENTER BFGS code FG_LNSRCH -524510.186 -0.246606126 -2796.21729 EXIT FROM BFGS code FG_LNSRCH 0. -0.241174802 0. --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.526377916 *** contribution from regularisation: 0.00228159619 *** contribution from error: -0.528659523 *** contribution from DIAG: 8.69752839E-05 *********************************************** ENTER BFGS code FG_LNSRCH -526290.945 -0.241174802 -1735.56384 EXIT FROM BFGS code NEW_X -526290.945 -0.241174802 -1735.56384 ENTER BFGS code NEW_X -526290.945 -0.241174802 -1735.56384 EXIT FROM BFGS code FG_LNSRCH 0. -0.245631248 0. --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.527501643 *** contribution from regularisation: 0.00230421918 *** contribution from error: -0.529805839 *** contribution from DIAG: 8.74279067E-05 *********************************************** ENTER BFGS code FG_LNSRCH -527414.226 -0.245631248 -1162.05334 EXIT FROM BFGS code NEW_X -527414.226 -0.245631248 -1162.05334 ENTER BFGS code NEW_X -527414.226 -0.245631248 -1162.05334 EXIT FROM BFGS code FG_LNSRCH 0. -0.257463068 0. --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.528620303 *** contribution from regularisation: 0.00234910194 *** contribution from error: -0.530969381 *** contribution from DIAG: 0.000162950309 *********************************************** ENTER BFGS code FG_LNSRCH -528457.37 -0.257463068 880.922546 EXIT FROM BFGS code NEW_X -528457.37 -0.257463068 880.922546 ENTER BFGS code NEW_X -528457.37 -0.257463068 880.922546 EXIT FROM BFGS code FG_LNSRCH 0. -0.258794874 0. --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.528838396 *** contribution from regularisation: 0.00238756021 *** contribution from error: -0.531225979 *** contribution from DIAG: 0.000182346819 *********************************************** ENTER BFGS code FG_LNSRCH -528656.055 -0.258794874 212.809326 EXIT FROM BFGS code NEW_X -528656.055 -0.258794874 212.809326 ENTER BFGS code NEW_X -528656.055 -0.258794874 212.809326 EXIT FROM BFGS code FG_LNSRCH 0. -0.258422166 0. --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 302.319092 sigma out 39 active outputs RANK 2 NODE 5 --> 186.472794 sigma out 39 active outputs RANK 3 NODE 6 --> 159.041489 sigma out 39 active outputs RANK 4 NODE 4 --> 158.507889 sigma out 39 active outputs RANK 5 NODE 2 --> 135.951019 sigma out 39 active outputs RANK 6 NODE 3 --> 125.567299 sigma out 39 active outputs RANK 7 NODE 7 --> 72.7641602 sigma out 39 active outputs RANK 8 NODE 12 --> 70.5502701 sigma out 39 active outputs RANK 9 NODE 8 --> 69.6513901 sigma out 39 active outputs RANK 10 NODE 17 --> 66.4825897 sigma out 39 active outputs RANK 11 NODE 16 --> 61.4562721 sigma out 39 active outputs RANK 12 NODE 11 --> 59.0049744 sigma out 39 active outputs RANK 13 NODE 10 --> 54.4616699 sigma out 39 active outputs RANK 14 NODE 21 --> 52.4400406 sigma out 39 active outputs RANK 15 NODE 18 --> 51.7356033 sigma out 39 active outputs RANK 16 NODE 9 --> 51.0608292 sigma out 39 active outputs RANK 17 NODE 15 --> 48.2387543 sigma out 39 active outputs RANK 18 NODE 19 --> 44.4342804 sigma out 39 active outputs RANK 19 NODE 23 --> 43.5766449 sigma out 39 active outputs RANK 20 NODE 22 --> 42.9305267 sigma out 39 active outputs RANK 21 NODE 20 --> 42.8682365 sigma out 39 active outputs RANK 22 NODE 13 --> 41.5061264 sigma out 39 active outputs RANK 23 NODE 25 --> 33.9451981 sigma out 39 active outputs RANK 24 NODE 24 --> 33.5665588 sigma out 39 active outputs RANK 25 NODE 28 --> 31.5988407 sigma out 39 active outputs RANK 26 NODE 14 --> 30.8409672 sigma out 39 active outputs RANK 27 NODE 30 --> 29.4010086 sigma out 39 active outputs RANK 28 NODE 32 --> 29.1597576 sigma out 39 active outputs RANK 29 NODE 29 --> 28.7738781 sigma out 39 active outputs RANK 30 NODE 31 --> 26.1059399 sigma out 39 active outputs RANK 31 NODE 26 --> 25.5033779 sigma out 39 active outputs RANK 32 NODE 33 --> 24.4363155 sigma out 39 active outputs RANK 33 NODE 27 --> 24.0003471 sigma out 39 active outputs RANK 34 NODE 38 --> 21.712431 sigma out 39 active outputs RANK 35 NODE 36 --> 18.7972317 sigma out 39 active outputs RANK 36 NODE 34 --> 17.7533817 sigma out 39 active outputs RANK 37 NODE 35 --> 17.4020576 sigma out 39 active outputs RANK 38 NODE 37 --> 13.0749235 sigma out 39 active outputs RANK 39 NODE 39 --> 8.80426884 sigma out 39 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 178.892105 sigma in 39act. ( 111.981964 sig out 1act.) RANK 2 NODE 8 --> 168.12149 sigma in 39act. ( 117.531822 sig out 1act.) RANK 3 NODE 18 --> 159.365845 sigma in 39act. ( 83.933342 sig out 1act.) RANK 4 NODE 34 --> 135.778152 sigma in 39act. ( 70.8936996 sig out 1act.) RANK 5 NODE 14 --> 133.897644 sigma in 39act. ( 78.6848145 sig out 1act.) RANK 6 NODE 12 --> 131.202408 sigma in 39act. ( 112.320709 sig out 1act.) RANK 7 NODE 39 --> 121.476807 sigma in 39act. ( 84.9333725 sig out 1act.) RANK 8 NODE 29 --> 110.427414 sigma in 39act. ( 81.2153168 sig out 1act.) RANK 9 NODE 30 --> 104.735817 sigma in 39act. ( 77.6082764 sig out 1act.) RANK 10 NODE 19 --> 104.108658 sigma in 39act. ( 74.7409973 sig out 1act.) RANK 11 NODE 24 --> 88.8928604 sigma in 39act. ( 56.292984 sig out 1act.) RANK 12 NODE 11 --> 83.06427 sigma in 39act. ( 55.6511688 sig out 1act.) RANK 13 NODE 37 --> 83.0135193 sigma in 39act. ( 81.9323425 sig out 1act.) RANK 14 NODE 35 --> 82.6077042 sigma in 39act. ( 80.6007462 sig out 1act.) RANK 15 NODE 7 --> 79.7038498 sigma in 39act. ( 67.7234039 sig out 1act.) RANK 16 NODE 4 --> 73.6838684 sigma in 39act. ( 58.1624146 sig out 1act.) RANK 17 NODE 31 --> 73.1465454 sigma in 39act. ( 64.7582016 sig out 1act.) RANK 18 NODE 27 --> 71.2649994 sigma in 39act. ( 63.2774506 sig out 1act.) RANK 19 NODE 22 --> 68.3874741 sigma in 39act. ( 52.9617729 sig out 1act.) RANK 20 NODE 33 --> 65.4907074 sigma in 39act. ( 54.6964798 sig out 1act.) RANK 21 NODE 6 --> 64.4259491 sigma in 39act. ( 61.5195618 sig out 1act.) RANK 22 NODE 23 --> 60.9607582 sigma in 39act. ( 42.0451622 sig out 1act.) RANK 23 NODE 20 --> 47.8462791 sigma in 39act. ( 43.3611336 sig out 1act.) RANK 24 NODE 36 --> 46.9121704 sigma in 39act. ( 43.8695679 sig out 1act.) RANK 25 NODE 38 --> 46.4459763 sigma in 39act. ( 39.2269516 sig out 1act.) RANK 26 NODE 5 --> 43.0198135 sigma in 39act. ( 49.2777596 sig out 1act.) RANK 27 NODE 17 --> 38.5730057 sigma in 39act. ( 37.5103874 sig out 1act.) RANK 28 NODE 2 --> 34.0304642 sigma in 39act. ( 27.6585217 sig out 1act.) RANK 29 NODE 25 --> 28.250761 sigma in 39act. ( 28.3301468 sig out 1act.) RANK 30 NODE 10 --> 28.0765247 sigma in 39act. ( 29.9112797 sig out 1act.) RANK 31 NODE 26 --> 25.1018162 sigma in 39act. ( 23.1098232 sig out 1act.) RANK 32 NODE 21 --> 20.9633923 sigma in 39act. ( 21.0264225 sig out 1act.) RANK 33 NODE 13 --> 19.6539745 sigma in 39act. ( 14.016201 sig out 1act.) RANK 34 NODE 15 --> 19.253006 sigma in 39act. ( 15.7403021 sig out 1act.) RANK 35 NODE 1 --> 18.2087994 sigma in 39act. ( 15.6658783 sig out 1act.) RANK 36 NODE 9 --> 16.6624832 sigma in 39act. ( 13.0884743 sig out 1act.) RANK 37 NODE 32 --> 14.0754118 sigma in 39act. ( 9.23149681 sig out 1act.) RANK 38 NODE 28 --> 12.3182554 sigma in 39act. ( 5.99108934 sig out 1act.) RANK 39 NODE 16 --> 11.4809084 sigma in 39act. ( 2.64495349 sig out 1act.) sorted by output significance RANK 1 NODE 8 --> 117.531822 sigma out 1act.( 168.12149 sig in 39act.) RANK 2 NODE 12 --> 112.320709 sigma out 1act.( 131.202408 sig in 39act.) RANK 3 NODE 3 --> 111.981964 sigma out 1act.( 178.892105 sig in 39act.) RANK 4 NODE 39 --> 84.9333725 sigma out 1act.( 121.476807 sig in 39act.) RANK 5 NODE 18 --> 83.933342 sigma out 1act.( 159.365845 sig in 39act.) RANK 6 NODE 37 --> 81.9323425 sigma out 1act.( 83.0135193 sig in 39act.) RANK 7 NODE 29 --> 81.2153168 sigma out 1act.( 110.427414 sig in 39act.) RANK 8 NODE 35 --> 80.6007462 sigma out 1act.( 82.6077042 sig in 39act.) RANK 9 NODE 14 --> 78.6848145 sigma out 1act.( 133.897644 sig in 39act.) RANK 10 NODE 30 --> 77.6082764 sigma out 1act.( 104.735817 sig in 39act.) RANK 11 NODE 19 --> 74.7409973 sigma out 1act.( 104.108658 sig in 39act.) RANK 12 NODE 34 --> 70.8936996 sigma out 1act.( 135.778152 sig in 39act.) RANK 13 NODE 7 --> 67.7234039 sigma out 1act.( 79.7038498 sig in 39act.) RANK 14 NODE 31 --> 64.7582016 sigma out 1act.( 73.1465454 sig in 39act.) RANK 15 NODE 27 --> 63.2774506 sigma out 1act.( 71.2649994 sig in 39act.) RANK 16 NODE 6 --> 61.5195618 sigma out 1act.( 64.4259491 sig in 39act.) RANK 17 NODE 4 --> 58.1624146 sigma out 1act.( 73.6838684 sig in 39act.) RANK 18 NODE 24 --> 56.292984 sigma out 1act.( 88.8928604 sig in 39act.) RANK 19 NODE 11 --> 55.6511688 sigma out 1act.( 83.06427 sig in 39act.) RANK 20 NODE 33 --> 54.6964798 sigma out 1act.( 65.4907074 sig in 39act.) RANK 21 NODE 22 --> 52.9617729 sigma out 1act.( 68.3874741 sig in 39act.) RANK 22 NODE 5 --> 49.2777596 sigma out 1act.( 43.0198135 sig in 39act.) RANK 23 NODE 36 --> 43.8695679 sigma out 1act.( 46.9121704 sig in 39act.) RANK 24 NODE 20 --> 43.3611336 sigma out 1act.( 47.8462791 sig in 39act.) RANK 25 NODE 23 --> 42.0451622 sigma out 1act.( 60.9607582 sig in 39act.) RANK 26 NODE 38 --> 39.2269516 sigma out 1act.( 46.4459763 sig in 39act.) RANK 27 NODE 17 --> 37.5103874 sigma out 1act.( 38.5730057 sig in 39act.) RANK 28 NODE 10 --> 29.9112797 sigma out 1act.( 28.0765247 sig in 39act.) RANK 29 NODE 25 --> 28.3301468 sigma out 1act.( 28.250761 sig in 39act.) RANK 30 NODE 2 --> 27.6585217 sigma out 1act.( 34.0304642 sig in 39act.) RANK 31 NODE 26 --> 23.1098232 sigma out 1act.( 25.1018162 sig in 39act.) RANK 32 NODE 21 --> 21.0264225 sigma out 1act.( 20.9633923 sig in 39act.) RANK 33 NODE 15 --> 15.7403021 sigma out 1act.( 19.253006 sig in 39act.) RANK 34 NODE 1 --> 15.6658783 sigma out 1act.( 18.2087994 sig in 39act.) RANK 35 NODE 13 --> 14.016201 sigma out 1act.( 19.6539745 sig in 39act.) RANK 36 NODE 9 --> 13.0884743 sigma out 1act.( 16.6624832 sig in 39act.) RANK 37 NODE 32 --> 9.23149681 sigma out 1act.( 14.0754118 sig in 39act.) RANK 38 NODE 28 --> 5.99108934 sigma out 1act.( 12.3182554 sig in 39act.) RANK 39 NODE 16 --> 2.64495349 sigma out 1act.( 11.4809084 sig in 39act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 378.481506 sigma in 39 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.528977156 *** contribution from regularisation: 0.00239424314 *** contribution from error: -0.531371415 *** contribution from DIAG: 0.000175008448 *********************************************** ENTER BFGS code FG_LNSRCH -528802.119 -0.258422166 295.688568 EXIT FROM BFGS code NEW_X -528802.119 -0.258422166 295.688568 ENTER BFGS code NEW_X -528802.119 -0.258422166 295.688568 EXIT FROM BFGS code FG_LNSRCH 0. -0.257428169 0. --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.529691517 *** contribution from regularisation: 0.00238963659 *** contribution from error: -0.532081127 *** contribution from DIAG: 0.000141726705 *********************************************** ENTER BFGS code FG_LNSRCH -529549.819 -0.257428169 481.780029 EXIT FROM BFGS code NEW_X -529549.819 -0.257428169 481.780029 ENTER BFGS code NEW_X -529549.819 -0.257428169 481.780029 EXIT FROM BFGS code FG_LNSRCH 0. -0.256743073 0. --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.530173242 *** contribution from regularisation: 0.00239899824 *** contribution from error: -0.532572269 *** contribution from DIAG: 0.000138267249 *********************************************** ENTER BFGS code FG_LNSRCH -530034.974 -0.256743073 688.830811 EXIT FROM BFGS code NEW_X -530034.974 -0.256743073 688.830811 ENTER BFGS code NEW_X -530034.974 -0.256743073 688.830811 EXIT FROM BFGS code FG_LNSRCH 0. -0.253061056 0. --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.530745566 *** contribution from regularisation: 0.00242261891 *** contribution from error: -0.533168197 *** contribution from DIAG: 0.000126159066 *********************************************** ENTER BFGS code FG_LNSRCH -530619.391 -0.253061056 -1101.82605 EXIT FROM BFGS code NEW_X -530619.391 -0.253061056 -1101.82605 ENTER BFGS code NEW_X -530619.391 -0.253061056 -1101.82605 EXIT FROM BFGS code FG_LNSRCH 0. -0.252962142 0. --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.531588852 *** contribution from regularisation: 0.00243815803 *** contribution from error: -0.53402704 *** contribution from DIAG: 0.000124205762 *********************************************** ENTER BFGS code FG_LNSRCH -531464.641 -0.252962142 32.7603836 EXIT FROM BFGS code NEW_X -531464.641 -0.252962142 32.7603836 ENTER BFGS code NEW_X -531464.641 -0.252962142 32.7603836 EXIT FROM BFGS code FG_LNSRCH 0. -0.252800107 0. --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.532010794 *** contribution from regularisation: 0.00243821391 *** contribution from error: -0.534448981 *** contribution from DIAG: 0.000128256826 *********************************************** ENTER BFGS code FG_LNSRCH -531882.53 -0.252800107 114.011276 EXIT FROM BFGS code NEW_X -531882.53 -0.252800107 114.011276 ENTER BFGS code NEW_X -531882.53 -0.252800107 114.011276 EXIT FROM BFGS code FG_LNSRCH 0. -0.25171268 0. --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.532940567 *** contribution from regularisation: 0.00245308108 *** contribution from error: -0.535393655 *** contribution from DIAG: 0.00014138197 *********************************************** ENTER BFGS code FG_LNSRCH -532799.185 -0.25171268 313.084564 EXIT FROM BFGS code NEW_X -532799.185 -0.25171268 313.084564 ENTER BFGS code NEW_X -532799.185 -0.25171268 313.084564 EXIT FROM BFGS code FG_LNSRCH 0. -0.249547541 0. --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.531788826 *** contribution from regularisation: 0.00249444717 *** contribution from error: -0.53428328 *** contribution from DIAG: 0.00018322008 *********************************************** ENTER BFGS code FG_LNSRCH -531605.603 -0.249547541 -2281.95264 EXIT FROM BFGS code FG_LNSRCH 0. -0.250827163 0. --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.533147693 *** contribution from regularisation: 0.0024576704 *** contribution from error: -0.535605371 *** contribution from DIAG: 0.000147291401 *********************************************** ENTER BFGS code FG_LNSRCH -533000.395 -0.250827163 -822.965393 EXIT FROM BFGS code NEW_X -533000.395 -0.250827163 -822.965393 ENTER BFGS code NEW_X -533000.395 -0.250827163 -822.965393 EXIT FROM BFGS code FG_LNSRCH 0. -0.250610769 0. --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.533562124 *** contribution from regularisation: 0.00247475528 *** contribution from error: -0.536036909 *** contribution from DIAG: 0.000143648664 *********************************************** ENTER BFGS code FG_LNSRCH -533418.472 -0.250610769 -651.017212 EXIT FROM BFGS code NEW_X -533418.472 -0.250610769 -651.017212 ENTER BFGS code NEW_X -533418.472 -0.250610769 -651.017212 EXIT FROM BFGS code FG_LNSRCH 0. -0.250896811 0. --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 280.39917 sigma out 39 active outputs RANK 2 NODE 5 --> 172.349548 sigma out 39 active outputs RANK 3 NODE 2 --> 157.093643 sigma out 39 active outputs RANK 4 NODE 6 --> 153.515991 sigma out 39 active outputs RANK 5 NODE 4 --> 151.939423 sigma out 39 active outputs RANK 6 NODE 3 --> 141.853043 sigma out 39 active outputs RANK 7 NODE 8 --> 88.5595398 sigma out 39 active outputs RANK 8 NODE 12 --> 72.7889328 sigma out 39 active outputs RANK 9 NODE 7 --> 71.7768478 sigma out 39 active outputs RANK 10 NODE 17 --> 66.215065 sigma out 39 active outputs RANK 11 NODE 16 --> 60.2109299 sigma out 39 active outputs RANK 12 NODE 11 --> 58.757431 sigma out 39 active outputs RANK 13 NODE 10 --> 52.4734955 sigma out 39 active outputs RANK 14 NODE 18 --> 52.3502846 sigma out 39 active outputs RANK 15 NODE 15 --> 51.717041 sigma out 39 active outputs RANK 16 NODE 9 --> 51.6972847 sigma out 39 active outputs RANK 17 NODE 21 --> 48.2099648 sigma out 39 active outputs RANK 18 NODE 20 --> 45.4497871 sigma out 39 active outputs RANK 19 NODE 23 --> 44.2228203 sigma out 39 active outputs RANK 20 NODE 19 --> 42.2857628 sigma out 39 active outputs RANK 21 NODE 13 --> 41.3456879 sigma out 39 active outputs RANK 22 NODE 22 --> 40.0162697 sigma out 39 active outputs RANK 23 NODE 38 --> 36.760479 sigma out 39 active outputs RANK 24 NODE 24 --> 35.8702812 sigma out 39 active outputs RANK 25 NODE 25 --> 35.7854652 sigma out 39 active outputs RANK 26 NODE 28 --> 33.2593536 sigma out 39 active outputs RANK 27 NODE 14 --> 31.941185 sigma out 39 active outputs RANK 28 NODE 30 --> 31.5895176 sigma out 39 active outputs RANK 29 NODE 29 --> 30.8692589 sigma out 39 active outputs RANK 30 NODE 32 --> 29.211338 sigma out 39 active outputs RANK 31 NODE 31 --> 26.6046219 sigma out 39 active outputs RANK 32 NODE 26 --> 25.0841312 sigma out 39 active outputs RANK 33 NODE 33 --> 24.1694584 sigma out 39 active outputs RANK 34 NODE 27 --> 23.7237206 sigma out 39 active outputs RANK 35 NODE 34 --> 22.7204266 sigma out 39 active outputs RANK 36 NODE 35 --> 19.0446949 sigma out 39 active outputs RANK 37 NODE 36 --> 18.7111549 sigma out 39 active outputs RANK 38 NODE 37 --> 18.2909012 sigma out 39 active outputs RANK 39 NODE 39 --> 9.17660141 sigma out 39 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 3 --> 166.977097 sigma in 39act. ( 172.352234 sig out 1act.) RANK 2 NODE 18 --> 165.191147 sigma in 39act. ( 124.158508 sig out 1act.) RANK 3 NODE 8 --> 151.634399 sigma in 39act. ( 143.705307 sig out 1act.) RANK 4 NODE 34 --> 138.281448 sigma in 39act. ( 76.7072296 sig out 1act.) RANK 5 NODE 12 --> 129.445145 sigma in 39act. ( 119.921425 sig out 1act.) RANK 6 NODE 29 --> 117.816345 sigma in 39act. ( 96.8547287 sig out 1act.) RANK 7 NODE 19 --> 112.018616 sigma in 39act. ( 111.173485 sig out 1act.) RANK 8 NODE 14 --> 108.80909 sigma in 39act. ( 79.7768707 sig out 1act.) RANK 9 NODE 39 --> 108.36882 sigma in 39act. ( 93.1165695 sig out 1act.) RANK 10 NODE 30 --> 104.99736 sigma in 39act. ( 77.1430817 sig out 1act.) RANK 11 NODE 24 --> 99.6015854 sigma in 39act. ( 74.0758057 sig out 1act.) RANK 12 NODE 7 --> 96.9576645 sigma in 39act. ( 103.799332 sig out 1act.) RANK 13 NODE 11 --> 81.2301483 sigma in 39act. ( 58.6109467 sig out 1act.) RANK 14 NODE 33 --> 77.6425705 sigma in 39act. ( 69.5412903 sig out 1act.) RANK 15 NODE 4 --> 76.0802155 sigma in 39act. ( 62.2609634 sig out 1act.) RANK 16 NODE 37 --> 75.2398834 sigma in 39act. ( 68.118721 sig out 1act.) RANK 17 NODE 31 --> 72.4254532 sigma in 39act. ( 63.7145576 sig out 1act.) RANK 18 NODE 6 --> 71.2310791 sigma in 39act. ( 67.4948425 sig out 1act.) RANK 19 NODE 27 --> 66.6563492 sigma in 39act. ( 71.2139816 sig out 1act.) RANK 20 NODE 35 --> 65.4283752 sigma in 39act. ( 74.5533752 sig out 1act.) RANK 21 NODE 22 --> 63.5063515 sigma in 39act. ( 49.9631882 sig out 1act.) RANK 22 NODE 5 --> 63.4664993 sigma in 39act. ( 76.0525742 sig out 1act.) RANK 23 NODE 23 --> 58.954834 sigma in 39act. ( 42.5387764 sig out 1act.) RANK 24 NODE 20 --> 51.1850624 sigma in 39act. ( 45.8398399 sig out 1act.) RANK 25 NODE 38 --> 45.7944145 sigma in 39act. ( 39.6396103 sig out 1act.) RANK 26 NODE 36 --> 45.2024155 sigma in 39act. ( 44.315361 sig out 1act.) RANK 27 NODE 17 --> 38.1494865 sigma in 39act. ( 36.7605247 sig out 1act.) RANK 28 NODE 21 --> 35.1599503 sigma in 39act. ( 39.4660873 sig out 1act.) RANK 29 NODE 25 --> 33.4064903 sigma in 39act. ( 36.1226006 sig out 1act.) RANK 30 NODE 2 --> 31.5632477 sigma in 39act. ( 25.2688446 sig out 1act.) RANK 31 NODE 10 --> 29.0981026 sigma in 39act. ( 31.4881134 sig out 1act.) RANK 32 NODE 26 --> 26.3965874 sigma in 39act. ( 23.4528141 sig out 1act.) RANK 33 NODE 15 --> 25.6894608 sigma in 39act. ( 23.0885773 sig out 1act.) RANK 34 NODE 13 --> 22.8007717 sigma in 39act. ( 17.9125195 sig out 1act.) RANK 35 NODE 1 --> 22.5177879 sigma in 39act. ( 21.0816212 sig out 1act.) RANK 36 NODE 28 --> 17.7544842 sigma in 39act. ( 14.6379061 sig out 1act.) RANK 37 NODE 32 --> 17.5456314 sigma in 39act. ( 13.4125309 sig out 1act.) RANK 38 NODE 9 --> 14.4804459 sigma in 39act. ( 10.0055037 sig out 1act.) RANK 39 NODE 16 --> 11.0480728 sigma in 39act. ( 2.1407311 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 172.352234 sigma out 1act.( 166.977097 sig in 39act.) RANK 2 NODE 8 --> 143.705307 sigma out 1act.( 151.634399 sig in 39act.) RANK 3 NODE 18 --> 124.158508 sigma out 1act.( 165.191147 sig in 39act.) RANK 4 NODE 12 --> 119.921425 sigma out 1act.( 129.445145 sig in 39act.) RANK 5 NODE 19 --> 111.173485 sigma out 1act.( 112.018616 sig in 39act.) RANK 6 NODE 7 --> 103.799332 sigma out 1act.( 96.9576645 sig in 39act.) RANK 7 NODE 29 --> 96.8547287 sigma out 1act.( 117.816345 sig in 39act.) RANK 8 NODE 39 --> 93.1165695 sigma out 1act.( 108.36882 sig in 39act.) RANK 9 NODE 14 --> 79.7768707 sigma out 1act.( 108.80909 sig in 39act.) RANK 10 NODE 30 --> 77.1430817 sigma out 1act.( 104.99736 sig in 39act.) RANK 11 NODE 34 --> 76.7072296 sigma out 1act.( 138.281448 sig in 39act.) RANK 12 NODE 5 --> 76.0525742 sigma out 1act.( 63.4664993 sig in 39act.) RANK 13 NODE 35 --> 74.5533752 sigma out 1act.( 65.4283752 sig in 39act.) RANK 14 NODE 24 --> 74.0758057 sigma out 1act.( 99.6015854 sig in 39act.) RANK 15 NODE 27 --> 71.2139816 sigma out 1act.( 66.6563492 sig in 39act.) RANK 16 NODE 33 --> 69.5412903 sigma out 1act.( 77.6425705 sig in 39act.) RANK 17 NODE 37 --> 68.118721 sigma out 1act.( 75.2398834 sig in 39act.) RANK 18 NODE 6 --> 67.4948425 sigma out 1act.( 71.2310791 sig in 39act.) RANK 19 NODE 31 --> 63.7145576 sigma out 1act.( 72.4254532 sig in 39act.) RANK 20 NODE 4 --> 62.2609634 sigma out 1act.( 76.0802155 sig in 39act.) RANK 21 NODE 11 --> 58.6109467 sigma out 1act.( 81.2301483 sig in 39act.) RANK 22 NODE 22 --> 49.9631882 sigma out 1act.( 63.5063515 sig in 39act.) RANK 23 NODE 20 --> 45.8398399 sigma out 1act.( 51.1850624 sig in 39act.) RANK 24 NODE 36 --> 44.315361 sigma out 1act.( 45.2024155 sig in 39act.) RANK 25 NODE 23 --> 42.5387764 sigma out 1act.( 58.954834 sig in 39act.) RANK 26 NODE 38 --> 39.6396103 sigma out 1act.( 45.7944145 sig in 39act.) RANK 27 NODE 21 --> 39.4660873 sigma out 1act.( 35.1599503 sig in 39act.) RANK 28 NODE 17 --> 36.7605247 sigma out 1act.( 38.1494865 sig in 39act.) RANK 29 NODE 25 --> 36.1226006 sigma out 1act.( 33.4064903 sig in 39act.) RANK 30 NODE 10 --> 31.4881134 sigma out 1act.( 29.0981026 sig in 39act.) RANK 31 NODE 2 --> 25.2688446 sigma out 1act.( 31.5632477 sig in 39act.) RANK 32 NODE 26 --> 23.4528141 sigma out 1act.( 26.3965874 sig in 39act.) RANK 33 NODE 15 --> 23.0885773 sigma out 1act.( 25.6894608 sig in 39act.) RANK 34 NODE 1 --> 21.0816212 sigma out 1act.( 22.5177879 sig in 39act.) RANK 35 NODE 13 --> 17.9125195 sigma out 1act.( 22.8007717 sig in 39act.) RANK 36 NODE 28 --> 14.6379061 sigma out 1act.( 17.7544842 sig in 39act.) RANK 37 NODE 32 --> 13.4125309 sigma out 1act.( 17.5456314 sig in 39act.) RANK 38 NODE 9 --> 10.0055037 sigma out 1act.( 14.4804459 sig in 39act.) RANK 39 NODE 16 --> 2.1407311 sigma out 1act.( 11.0480728 sig in 39act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 452.741516 sigma in 39 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.533806741 *** contribution from regularisation: 0.00247932877 *** contribution from error: -0.536286056 *** contribution from DIAG: 0.000142119447 *********************************************** ENTER BFGS code FG_LNSRCH -533664.607 -0.250896811 -392.878204 EXIT FROM BFGS code NEW_X -533664.607 -0.250896811 -392.878204 ENTER BFGS code NEW_X -533664.607 -0.250896811 -392.878204 EXIT FROM BFGS code FG_LNSRCH 0. -0.251895696 0. --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.534301579 *** contribution from regularisation: 0.0025025378 *** contribution from error: -0.53680414 *** contribution from DIAG: 0.000147563362 *********************************************** ENTER BFGS code FG_LNSRCH -534154.02 -0.251895696 -200.829849 EXIT FROM BFGS code NEW_X -534154.02 -0.251895696 -200.829849 ENTER BFGS code NEW_X -534154.02 -0.251895696 -200.829849 EXIT FROM BFGS code FG_LNSRCH 0. -0.254135042 0. --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.534816146 *** contribution from regularisation: 0.00251424033 *** contribution from error: -0.537330389 *** contribution from DIAG: 0.000154471301 *********************************************** ENTER BFGS code FG_LNSRCH -534661.675 -0.254135042 451.76651 EXIT FROM BFGS code NEW_X -534661.675 -0.254135042 451.76651 ENTER BFGS code NEW_X -534661.675 -0.254135042 451.76651 EXIT FROM BFGS code FG_LNSRCH 0. -0.257207453 0. --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.53541553 *** contribution from regularisation: 0.00255623413 *** contribution from error: -0.537971735 *** contribution from DIAG: 0.000159516014 *********************************************** ENTER BFGS code FG_LNSRCH -535256.016 -0.257207453 -33.2747116 EXIT FROM BFGS code NEW_X -535256.016 -0.257207453 -33.2747116 ENTER BFGS code NEW_X -535256.016 -0.257207453 -33.2747116 EXIT FROM BFGS code FG_LNSRCH 0. -0.261094838 0. --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.53554672 *** contribution from regularisation: 0.00257675885 *** contribution from error: -0.538123488 *** contribution from DIAG: 0.000189200015 *********************************************** ENTER BFGS code FG_LNSRCH -535357.535 -0.261094838 193.356186 EXIT FROM BFGS code NEW_X -535357.535 -0.261094838 193.356186 ENTER BFGS code NEW_X -535357.535 -0.261094838 193.356186 EXIT FROM BFGS code CONVERGENC -535357.535 -0.261094838 193.356186 --------------------------------------------------- Iteration : 100 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 297.16037 sigma out 39 active outputs RANK 2 NODE 2 --> 192.436249 sigma out 39 active outputs RANK 3 NODE 5 --> 176.78064 sigma out 39 active outputs RANK 4 NODE 6 --> 171.836121 sigma out 39 active outputs RANK 5 NODE 3 --> 158.288651 sigma out 39 active outputs RANK 6 NODE 4 --> 148.73703 sigma out 39 active outputs RANK 7 NODE 8 --> 115.63768 sigma out 39 active outputs RANK 8 NODE 12 --> 77.9345779 sigma out 39 active outputs RANK 9 NODE 7 --> 76.7737961 sigma out 39 active outputs RANK 10 NODE 17 --> 64.8268509 sigma out 39 active outputs RANK 11 NODE 11 --> 63.4759407 sigma out 39 active outputs RANK 12 NODE 16 --> 61.5130157 sigma out 39 active outputs RANK 13 NODE 10 --> 61.2246971 sigma out 39 active outputs RANK 14 NODE 15 --> 56.2479553 sigma out 39 active outputs RANK 15 NODE 9 --> 54.6707039 sigma out 39 active outputs RANK 16 NODE 18 --> 54.3662567 sigma out 39 active outputs RANK 17 NODE 20 --> 52.3611755 sigma out 39 active outputs RANK 18 NODE 21 --> 51.7282982 sigma out 39 active outputs RANK 19 NODE 38 --> 46.7661362 sigma out 39 active outputs RANK 20 NODE 23 --> 46.2593842 sigma out 39 active outputs RANK 21 NODE 13 --> 42.3609886 sigma out 39 active outputs RANK 22 NODE 19 --> 41.8935547 sigma out 39 active outputs RANK 23 NODE 22 --> 40.9768028 sigma out 39 active outputs RANK 24 NODE 24 --> 38.8070068 sigma out 39 active outputs RANK 25 NODE 25 --> 35.5037651 sigma out 39 active outputs RANK 26 NODE 28 --> 33.4187546 sigma out 39 active outputs RANK 27 NODE 29 --> 33.0760345 sigma out 39 active outputs RANK 28 NODE 14 --> 32.6556625 sigma out 39 active outputs RANK 29 NODE 32 --> 30.5216885 sigma out 39 active outputs RANK 30 NODE 30 --> 29.8377056 sigma out 39 active outputs RANK 31 NODE 31 --> 26.7678452 sigma out 39 active outputs RANK 32 NODE 26 --> 25.401247 sigma out 39 active outputs RANK 33 NODE 34 --> 25.0201397 sigma out 39 active outputs RANK 34 NODE 33 --> 24.4633789 sigma out 39 active outputs RANK 35 NODE 27 --> 23.9734535 sigma out 39 active outputs RANK 36 NODE 37 --> 22.3681564 sigma out 39 active outputs RANK 37 NODE 35 --> 19.8892384 sigma out 39 active outputs RANK 38 NODE 36 --> 19.1207523 sigma out 39 active outputs RANK 39 NODE 39 --> 9.40164471 sigma out 39 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 18 --> 179.317551 sigma in 39act. ( 155.383255 sig out 1act.) RANK 2 NODE 3 --> 171.708176 sigma in 39act. ( 212.57695 sig out 1act.) RANK 3 NODE 8 --> 155.452347 sigma in 39act. ( 155.370743 sig out 1act.) RANK 4 NODE 34 --> 153.815475 sigma in 39act. ( 87.6653519 sig out 1act.) RANK 5 NODE 12 --> 149.551987 sigma in 39act. ( 139.232178 sig out 1act.) RANK 6 NODE 29 --> 131.197067 sigma in 39act. ( 121.370354 sig out 1act.) RANK 7 NODE 19 --> 128.768539 sigma in 39act. ( 161.870682 sig out 1act.) RANK 8 NODE 24 --> 125.50145 sigma in 39act. ( 98.4582214 sig out 1act.) RANK 9 NODE 30 --> 111.282104 sigma in 39act. ( 79.3830185 sig out 1act.) RANK 10 NODE 39 --> 110.576706 sigma in 39act. ( 107.706772 sig out 1act.) RANK 11 NODE 7 --> 107.787857 sigma in 39act. ( 126.050026 sig out 1act.) RANK 12 NODE 14 --> 97.9198837 sigma in 39act. ( 83.5674438 sig out 1act.) RANK 13 NODE 33 --> 92.3067474 sigma in 39act. ( 86.472084 sig out 1act.) RANK 14 NODE 4 --> 87.5906601 sigma in 39act. ( 74.017334 sig out 1act.) RANK 15 NODE 11 --> 84.5125961 sigma in 39act. ( 62.5080681 sig out 1act.) RANK 16 NODE 5 --> 80.2433395 sigma in 39act. ( 97.608963 sig out 1act.) RANK 17 NODE 6 --> 76.3593369 sigma in 39act. ( 69.7896042 sig out 1act.) RANK 18 NODE 37 --> 75.7845688 sigma in 39act. ( 64.3499298 sig out 1act.) RANK 19 NODE 31 --> 75.5703583 sigma in 39act. ( 66.2074966 sig out 1act.) RANK 20 NODE 35 --> 68.4978256 sigma in 39act. ( 81.9425507 sig out 1act.) RANK 21 NODE 27 --> 66.6880569 sigma in 39act. ( 77.0577316 sig out 1act.) RANK 22 NODE 22 --> 63.1588974 sigma in 39act. ( 52.3614693 sig out 1act.) RANK 23 NODE 23 --> 57.7477036 sigma in 39act. ( 46.0339508 sig out 1act.) RANK 24 NODE 20 --> 57.6731339 sigma in 39act. ( 52.6363945 sig out 1act.) RANK 25 NODE 38 --> 51.2000122 sigma in 39act. ( 43.5802612 sig out 1act.) RANK 26 NODE 36 --> 49.3091087 sigma in 39act. ( 49.5835419 sig out 1act.) RANK 27 NODE 21 --> 45.6598778 sigma in 39act. ( 53.2558327 sig out 1act.) RANK 28 NODE 17 --> 39.52631 sigma in 39act. ( 38.360424 sig out 1act.) RANK 29 NODE 25 --> 37.6947784 sigma in 39act. ( 42.2990417 sig out 1act.) RANK 30 NODE 2 --> 35.0684128 sigma in 39act. ( 28.1672115 sig out 1act.) RANK 31 NODE 10 --> 31.9992237 sigma in 39act. ( 35.5500412 sig out 1act.) RANK 32 NODE 15 --> 30.3138943 sigma in 39act. ( 28.5306053 sig out 1act.) RANK 33 NODE 26 --> 27.7484589 sigma in 39act. ( 24.31563 sig out 1act.) RANK 34 NODE 1 --> 26.7499218 sigma in 39act. ( 26.4174042 sig out 1act.) RANK 35 NODE 13 --> 25.5677052 sigma in 39act. ( 21.5396786 sig out 1act.) RANK 36 NODE 28 --> 23.584259 sigma in 39act. ( 21.7972717 sig out 1act.) RANK 37 NODE 32 --> 21.2175312 sigma in 39act. ( 17.1194687 sig out 1act.) RANK 38 NODE 9 --> 14.9993935 sigma in 39act. ( 10.3225632 sig out 1act.) RANK 39 NODE 16 --> 12.3201046 sigma in 39act. ( 6.3285594 sig out 1act.) sorted by output significance RANK 1 NODE 3 --> 212.57695 sigma out 1act.( 171.708176 sig in 39act.) RANK 2 NODE 19 --> 161.870682 sigma out 1act.( 128.768539 sig in 39act.) RANK 3 NODE 18 --> 155.383255 sigma out 1act.( 179.317551 sig in 39act.) RANK 4 NODE 8 --> 155.370743 sigma out 1act.( 155.452347 sig in 39act.) RANK 5 NODE 12 --> 139.232178 sigma out 1act.( 149.551987 sig in 39act.) RANK 6 NODE 7 --> 126.050026 sigma out 1act.( 107.787857 sig in 39act.) RANK 7 NODE 29 --> 121.370354 sigma out 1act.( 131.197067 sig in 39act.) RANK 8 NODE 39 --> 107.706772 sigma out 1act.( 110.576706 sig in 39act.) RANK 9 NODE 24 --> 98.4582214 sigma out 1act.( 125.50145 sig in 39act.) RANK 10 NODE 5 --> 97.608963 sigma out 1act.( 80.2433395 sig in 39act.) RANK 11 NODE 34 --> 87.6653519 sigma out 1act.( 153.815475 sig in 39act.) RANK 12 NODE 33 --> 86.472084 sigma out 1act.( 92.3067474 sig in 39act.) RANK 13 NODE 14 --> 83.5674438 sigma out 1act.( 97.9198837 sig in 39act.) RANK 14 NODE 35 --> 81.9425507 sigma out 1act.( 68.4978256 sig in 39act.) RANK 15 NODE 30 --> 79.3830185 sigma out 1act.( 111.282104 sig in 39act.) RANK 16 NODE 27 --> 77.0577316 sigma out 1act.( 66.6880569 sig in 39act.) RANK 17 NODE 4 --> 74.017334 sigma out 1act.( 87.5906601 sig in 39act.) RANK 18 NODE 6 --> 69.7896042 sigma out 1act.( 76.3593369 sig in 39act.) RANK 19 NODE 31 --> 66.2074966 sigma out 1act.( 75.5703583 sig in 39act.) RANK 20 NODE 37 --> 64.3499298 sigma out 1act.( 75.7845688 sig in 39act.) RANK 21 NODE 11 --> 62.5080681 sigma out 1act.( 84.5125961 sig in 39act.) RANK 22 NODE 21 --> 53.2558327 sigma out 1act.( 45.6598778 sig in 39act.) RANK 23 NODE 20 --> 52.6363945 sigma out 1act.( 57.6731339 sig in 39act.) RANK 24 NODE 22 --> 52.3614693 sigma out 1act.( 63.1588974 sig in 39act.) RANK 25 NODE 36 --> 49.5835419 sigma out 1act.( 49.3091087 sig in 39act.) RANK 26 NODE 23 --> 46.0339508 sigma out 1act.( 57.7477036 sig in 39act.) RANK 27 NODE 38 --> 43.5802612 sigma out 1act.( 51.2000122 sig in 39act.) RANK 28 NODE 25 --> 42.2990417 sigma out 1act.( 37.6947784 sig in 39act.) RANK 29 NODE 17 --> 38.360424 sigma out 1act.( 39.52631 sig in 39act.) RANK 30 NODE 10 --> 35.5500412 sigma out 1act.( 31.9992237 sig in 39act.) RANK 31 NODE 15 --> 28.5306053 sigma out 1act.( 30.3138943 sig in 39act.) RANK 32 NODE 2 --> 28.1672115 sigma out 1act.( 35.0684128 sig in 39act.) RANK 33 NODE 1 --> 26.4174042 sigma out 1act.( 26.7499218 sig in 39act.) RANK 34 NODE 26 --> 24.31563 sigma out 1act.( 27.7484589 sig in 39act.) RANK 35 NODE 28 --> 21.7972717 sigma out 1act.( 23.584259 sig in 39act.) RANK 36 NODE 13 --> 21.5396786 sigma out 1act.( 25.5677052 sig in 39act.) RANK 37 NODE 32 --> 17.1194687 sigma out 1act.( 21.2175312 sig in 39act.) RANK 38 NODE 9 --> 10.3225632 sigma out 1act.( 14.9993935 sig in 39act.) RANK 39 NODE 16 --> 6.3285594 sigma out 1act.( 12.3201046 sig in 39act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 536.664368 sigma in 39 active inputs *********************************************** *** Learn Path 100 *** loss function: -0.535567105 *** contribution from regularisation: 0.00255637872 *** contribution from error: -0.538123488 *** contribution from DIAG: 0.000188388978 *********************************************** -----------------> Test sample create test 22 plots 9100/9200: 2 END OF LEARNING , export EXPERTISE WRITE NETWORK WEIGHTS TO EXPERTISE SAVING EXPERTISE TO GlobalPID_Electron_Downstream_NeuroBayes.conf NB_AHISTOUT: storage space 130834 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/621/Electron/Downstream/GlobalPID_Electron_Downstream_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/621/Electron/Downstream/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/621/Electron/Downstream/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/621/Electron/Downstream/NB.txt Training Host = lxplus432.cern.ch Particle type = electron Background types = all Training Mix = NaturalMix Track type = Downstream 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_Electron_Downstream_NeuroBayes.conf Skipping input #RichAboveElThres Skipping input #RichAbovePiThres Skipping input #RichAbovePrThres 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 34 nodes, hidden layer has 39 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 = 621 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 5705173 tracks for input to NN training Sel. Eff. = 17.528% Selected 1000000 tracks for input to NN training ghost percentage = 63.3186% electron percentage = 12.4809% muon percentage = 0.774% pion percentage = 19.0612% kaon percentage = 1.1241% proton percentage = 3.2262% Unknown Particle type 3112 percentage = 0.0053% Unknown Particle type 3222 percentage = 0.0028% Unknown Particle type 3312 percentage = 0.0026% Unknown Particle type 1000010030 percentage = 0.0001% Unknown Particle type 1000020040 percentage = 0.0042% 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 TrackFitTChi2 Making plots for input TrackFitTNDoF Making plots for input RichUsedAero Making plots for input RichUsedR1Gas Making plots for input RichUsedR2Gas Making plots for input RichAboveMuThres Making plots for input RichAboveKaThres 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 InAccMuon Making plots for input MuonBkgLL Making plots for input MuonMuLL Making plots for input MuonIsLooseMuon Making plots for input MuonIsMuon Making plots for input MuonNShared Making plots for input InAccEcal Making plots for input EcalPIDe Making plots for input EcalPIDmu Making plots for input InAccHcal Making plots for input HcalPIDe Making plots for input HcalPIDmu Making plots for input PrsPIDe 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 33 input variables. ***************Training results***************** number of nodes in the 1st layer: 39 number of nodes in the 2nd layer: 39 number of nodes in the 3rd layer: 1 number of iterations: 100