Training in /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/NOBFGS/622/Muon/Downstream Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/NOBFGS/622/Muon/Downstream/GlobalPID_Muon_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/NOBFGS/622/Muon/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/NOBFGS/622/Muon/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/NOBFGS/622/Muon/Downstream/NB.txt Training Host = lxplus437.cern.ch Particle type = muon Background types = all Training Mix = NaturalMix Track type = Downstream Track PresSel = TrackPreSelIsMuon 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_Muon_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 32 nodes, hidden layer has 37 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 = NOBFGS NB_DEF_PRE = 622 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 32 Your number of nodes in the hidden layer is: 37 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 do not 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 622 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 MuonBkgLL PreproFlag 34 Input 23 MuonMuLL PreproFlag 34 Input 24 MuonNShared PreproFlag 19 Input 25 InAccEcal PreproFlag 19 Input 26 EcalPIDe PreproFlag 34 Input 27 EcalPIDmu PreproFlag 34 Input 28 InAccHcal PreproFlag 19 Input 29 HcalPIDe PreproFlag 34 Input 30 HcalPIDmu PreproFlag 34 Input 31 InAccPrs PreproFlag 19 Input 32 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%) Read entry 5892912 (60%) Read entry 6875064 (70%) Read entry 7857216 (79.9999%) Read entry 8839368 (89.9999%) Read entry 9821520 (99.9999%) Considered 9821527 tracks for input to NN training Sel. Eff. = 0.625249% Selected 61409 tracks for input to NN training ghost percentage = 63.6112% electron percentage = 6.0154% muon percentage = 9.9448% pion percentage = 16.1686% kaon percentage = 2.77972% proton percentage = 1.47535% Unknown Particle type 3112 percentage = 0.00162843% Unknown Particle type 3222 percentage = 0.00162843% Unknown Particle type 3312 percentage = 0.00162843% 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 61409 samples to learn from preprocessing flags/parameters: global preprocessing flag: 622 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 = 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 # 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 = 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 # 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 = 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 # 27 : 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 # 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. Using weight factor: 1. now perform preprocessing *** called with option 22 *** This will do for you: *** input variable equalisation *** to Gaussian 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: 9.94479656 % ------------------------------ 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 4. 20. 25. 28.5 31. 34. 36. 38. 39.5 41. 43. 44. 46. 47. 48. 50. 51. 53. 54. 55. 56. 57. 58. 59. 61. 62. 63. 64. 65. 66. 67. 68. 69. 70. 71. 73. 74. 75. 76. 77. 78. 79. 80. 81. 82. 83. 84. 85. 86. 87. 88. 90. 91. 92. 93. 94. 95. 97. 98. 99. 100. 102. 103. 104. 106. 107. 108. 110. 111. 113. 114. 116. 117. 119. 121. 122. 124. 126. 127. 130. 131. 133. 136. 138. 140. 143. 145. 148. 151. 154. 158. 162. 166. 171. 177. 183. 192. 203. 219. 247. 435. build map for variable # 2 NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 242. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 256. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 257. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 258. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 268. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 269. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 270. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 271. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 273. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 274. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 275. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 276. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 278. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 279. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 280. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 281. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 282. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 283. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 284. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 285. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 286. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 287. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 288. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 289. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 290. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 293. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 294. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 295. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 305. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 325. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 329. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 332. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 333. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 334. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 336. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 341. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 344. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 348. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 352. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 353. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 354. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 358. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 370. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 381. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 382. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 386. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 402. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 422. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 435. Unregularised mean is returned ------------------------------ Transdef: Tab for variable 3 2799.1499 3044.3501 3100.02002 3145.68506 3198.15991 3247.66992 3292.90479 3334.33496 3378.5249 3419.9751 3459.62012 3496.22998 3535.77002 3573.13501 3611.56982 3649.26514 3687.08008 3723.81494 3762.02002 3800.97998 3837.74512 3871.86499 3910.18506 3947.68994 3983.83984 4019.1499 4055.31006 4090.63501 4130.6748 4169.17969 4207.0498 4245.71973 4286.25488 4329.74023 4371.41992 4413.30518 4455.16992 4498.39014 4540.5249 4583.41016 4628.09473 4674.44043 4719.41016 4764.18018 4813.75977 4857.59473 4906.13477 4953.18018 5001.38477 5046.86523 5095.41016 5144.03027 5193.39502 5247.89502 5302.46973 5356.23486 5414.81006 5474.17969 5532.12012 5595.2002 5653.1748 5716.51514 5774.54004 5838.82031 5902.69531 5966.37 warning: map is empty for variable 3 012 6042.35498 6124.6748 6216.28027 6306.18457 6402.36523 6506.89014 6615.6499 6720.34961 6834.76514 6945.16504 7066.20508 7191.27539 7320.09473 7463.12012 7606.96973 7766.64014 7921.45996 8101.0752 8303.375 8511.36914 8726.5293 8950.70508 9196.93555 9473.15039 9745.07422 10068.415 10544.585 11087.5156 11740.6309 12577.9453 13613.2344 15174.8555 17515.0996 22535.7188 269769.844 do regularised spline fit for input variable # 3 build map for variable # 3 warning: map is empty for variable 3 ------------------------------ Transdef: Tab for variable 4 1.33442938 53.8338089 66.5756531 75.5977783 83.0880814 89.004776 94.3283691 99.7621918 104.757355 109.808372 114.422577 118.85907 123.032074 127.006271 130.975739 135.175323 139.433319 143.273193 147.469391 151.33374 155.445312 159.245422 163.081726 167.015961 170.853424 175.007538 178.933685 183.071152 187.375427 191.384674 195.374023 199.473419 203.945358 208.034653 212.13835 warning: map is empty for variable 4 1 216.767944 221.468079 226.140411 230.377243 234.741486 239.259583 243.724579 248.673691 253.539612 258.570435 263.173096 267.798889 272.652893 277.65152 282.853882 288.044373 293.089874 297.927917 303.674103 309.374512 315.109436 321.055847 326.726135 332.694519 338.797058 344.905334 351.278076 357.71521 364.304871 371.214386 377.938477 384.824402 391.939575 399.83313 408.348389 417.832764 426.89679 436.649811 447.331848 458.081635 469.841248 480.975128 492.724518 506.092987 519.488037 532.910889 545.778992 560.228271 574.601318 590.196533 607.214722 626.508301 648.03302 672.427551 699.398743 726.351379 757.55603 788.884094 825.279663 867.797485 918.733582 979.044006 1055.74219 1177.20703 1436.04199 12327.8594 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 0.0129887434 0.36667341 0.444906592 0.497417569 0.54003638 0.575694025 0.607466757 0.634944677 0.660797238 0.685735345 0.707622826 0.727669835 0.749069273 0.769411147 0.789860249 0.809204936 0.828012586 0.847108603 0.864502907 0.88225466 0.900374651 0.917617857 0.93422246 0.951313019 0.967801213 0.987017155 1.00600815 1.02293706 1.04038572 1.05911207 1.07667482 1.0941807 1.1118803 1.13078713 1.14954174 1.16944814 1.18860507 1.2075839 1.22697771 1.24806666 1.27051544 1.29004478 1.31240201 1.33314061 1.35648239 1.38146889 1.40585268 1.4315474 1.45719123 1.48388886 1.51100659 1.5386982 1.56843662 1.60095513 1.63291109 1.66419244 1.6986351 1.73442256 1.7714932 1.80935812 1.84869671 1.8900516 1.93230271 1.97451615 2.01919627 2.06757283 2.11772203 2.16902542 2.22580981 2.28605771 2.34741116 2.40987468 2.48057652 2.55224991 2.62591887 2.70122862 2.78059244 2.86633825 2.95686555 3.05002785 3.14748096 3.25544453 3.37362051 3.50035477 3.62398911 3.76479411 3.90396881 4.06443024 4.23079205 4.3880887 4.56224632 4.74128199 4.93573523 5.14111614 5.34472942 5.57604122 5.82332611 6.11374474 6.53338718 7.36382341 9.99107075 do regularised spline fit for input variable # 5 ------------------------------ Transdef: Tab for variable 6 4. 5. 6. 6. 7. 7. 8. 8. 8. 9. 9. 9. 10. 10. 10. 11. 11. 11. 11. 12. 13. 13. 14. 14. 14. 15. 15. 15. 15. 16. 16. 16. 16. 16. 16. 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. 19. 19. 19. 19. 19. 19. 20. 20. 20. 20. 20. 20. 20. 20. 20. 20. 20. 20. 20. 21. 21. 21. 21. 21. 21. 21. 21. 21. 21. 22. 22. 22. 22. 22. 22. 23. 23. 23. 27. build map for variable # 6 ------------------------------ Transdef: Tab for variable 7 -99.5826263 -49.7888184 -43.361721 -39.9984474 -37.6986389 -35.8923264 -34.4580688 -33.0378571 -31.6093941 -30.2768879 -28.9930115 -27.8287735 -26.723505 -25.743866 -24.6552353 -23.7760639 -22.8879395 -22.0790901 -21.2831955 -20.5129471 -19.7493362 -19.0637264 -18.3939514 -17.687706 -17.0391731 -16.4049587 -15.877059 -15.3382864 -14.816555 -14.3209562 -13.8710032 -13.3891954 -12.9743843 -12.5682411 -12.1664658 -11.783556 -11.410943 -11.0674381 -10.7349968 -10.411377 -10.1101322 -9.8290863 -9.54668617 -9.2634697 -9.00034714 -8.73482323 -8.49998093 -8.27092266 -8.0530529 -7.83597469 -7.60512352 -7.41140366 -7.20869017 -7.01721478 -6.83271313 -6.65688324 -6.46803188 -6.30353022 -6.13881683 -5.99259472 -5.84570122 -5.68959332 -5.54802799 -5.40229225 -5.26539898 -5.12613821 -4.97774887 -4.8446703 -4.7178936 -4.58745909 -4.4672451 -4.34562445 -4.22135258 -4.09420681 -3.97168112 -3.8520298 -3.73256016 -3.61745024 -3.51270366 -3.4096837 -3.31001854 -3.20558429 -3.10523009 -3.00559568 -2.91180634 -2.81934786 -2.72494841 -2.62329292 -2.52912283 -2.43881416 -2.34767747 -2.26021338 -2.17491627 -2.06719255 -1.94736207 -1.81574583 -1.66756606 -1. warning: map is empty for variable 7 51220918 -1.35466242 -1.17524171 0.11767938 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 0.00017373063 0.0435580388 0.0589453988 0.0702690482 0.0793022513 0.0872031897 0.0943830907 0.100981131 0.107311673 0.113933116 0.11975351 0.125543997 0.13147068 0.136715025 0.142030939 0.147468448 0.152229458 0.15793626 0.163546354 0.169731468 0.176383168 0.183873445 0.192154631 0.201539397 0.211627215 0.221346706 0.232212543 0.243992701 0.255625665 0.268387794 0.281413943 0.294064641 0.306846082 0.32158944 0.334963948 0.349362254 0.364431083 0.380744696 0.397355139 0.413884163 0.430868298 0.448230118 0.469717205 0.491385698 0.51725626 0.544808865 0.573392153 0.601124883 0.62621057 0.650327444 0.673364043 0.693595171 0.710771143 0.726720154 0.7418648 0.756017208 0.76886189 0.779883683 0.790494919 0.799390674 0.807621002 0.81444788 0.821884513 0.828126788 0.833662629 0.839037418 0.84406662 0.848951817 0.853243053 0.857405543 0.861949027 0.86615324 0.869629622 0.873443127 0.876922607 0.880045056 0.882995725 0.886010885 0.888921916 0.892148852 0.895148993 0.89854455 0.901596308 0.905074477 0.908603489 0.912438333 0.917529345 0.922820568 0.929697037 0.938595176 0.946563482 0.952543616 0.958063424 0.962702394 0.96642673 0.969168186 0.972454786 0.976630867 0.981524348 0.98899895 0.999993742 do regularised spline fit for input variable # 8 build map for variable # 8 ------------------------------ Transdef: Tab for variable 9 3.749578 16.2446232 18.8614044 29.2569046 32.7012253 43.8630753 49.9906998 70.1184235 99.5028534 118.913155 127.30011 149.562958 175.704712 211.950134 259.464233 290.313141 313.073181 346.158508 388.786316 411.276703 444.059387 504.846741 527.950195 574.170654 590.445984 623.654053 666.116699 681.740173 707.572937 721.504944 749.936768 797.319702 815.337158 840.329163 867.140503 913.246338 966.340454 977.788025 1049.02026 1077.70654 1114.34668 1156.47583 1177.69995 1193.86462 1218.15894 1251.76318 1297.81812 1322.5437 1357.52515 1399.77014 1424.32666 1528.4043 1589.10547 1633.14185 1710.39954 1756.72192 1817.54272 1870.87659 1899.5144 1965.28027 2024.43726 2090.10352 2117.31787 2154.62305 2171.14062 2273.73706 2290.85254 2340.66309 2380.0332 2418.84375 2496.15527 2547.13403 2588.90332 2688.58984 2742.79248 2810.92773 2875.11743 2921.896 3014.73047 3081.90381 3183.22827 3289.06885 3441.69336 3516.50781 3606.63916 3740.22949 3800.95703 3851.3291 3921.67529 3937.66382 4015.56543 4076.82812 4180.53857 4356.62695 4503.07129 4558.63281 4684.10254 4779.19629 4843.15723 4924.11328 4992.85547 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 0.00649250625 0.66528368 1.18910789 1.61821413 2.03022218 2.46591759 2.87721729 3.27402782 3.67986226 4.10185003 4.49782944 4.88372803 5.2509656 5.62353134 5.98657417 6.34972477 6.70158577 7.00954342 7.33322334 7.64332247 7.94359303 8.23472023 8.51655483 8.77732658 9.03790474 9.30562019 9.58614922 9.834589 10.0748787 10.322382 10.555397 10.7905045 11.0291843 11.2646809 11.4818563 11.7015038 11.9300117 12.1690912 12.3839102 12.6057663 12.8173943 13.0260611 13.2380037 13.4639778 13.6767473 13.9049015 14.1232462 14.3275957 14.5682611 14.8003483 15.0274773 15.2574291 15.4841957 15.7101326 15.9512291 16.1735268 16.4065742 16.6569176 16.9099617 17.1695061 17.4369698 17.709465 17.9800205 18.2685928 18.5550117 18.8482227 19.1408825 19.4398479 19.744381 20.0899429 20.4481468 20.8115273 21.1876984 21.5786934 21.9851074 22.4268532 22.8823891 23.3495102 23.8446751 24.3676033 24.9317589 25.5004082 26.1380005 26.8338909 27.6391487 28.426712 29.3567085 30.4319038 31.5862789 32.9046021 34.4460716 36.310997 38.3826752 40.7137947 43.6457176 46.8930893 50.9024086 56.2399826 63.7781105 75.6405182 113.803452 do regularised spline fit for input variable # 10 ------------------------------ Transdef: Tab for variable 11 1. 3. 3. 3. 3. 4. 5. 5. 5. 6. 6. 6. 7. 7. 7. 7. 7. 8. 8. 9. 10. 10. 10. 11. 11. 11. 12. 12. 12. 12. 12. 13. 13. 13. 13. 13. 13. 14. 14. 14. 14. 14. 14. 14. 14. 14. 15. 15. 15. 15. 15. 15. 15. 15. 15. 15. 15. 15. 16. 16. 16. 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. 19. 19. 19. 19. 21. 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. 1. 1. 1. 1. 1. 1. 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. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 15 ------------------------------ Transdef: Tab for variable 16 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 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 -110.812798 -47.652298 -37.8722992 -32.5453491 -29.3321495 -26.8159504 -24.9215012 -23.2901993 -21.9439011 -20.8898506 -19.8937988 -19.0305996 -18.2539997 -17.5438499 -16.8681488 -16.2341499 -15.6588497 -15.1221504 -14.6209002 -14.1050997 -13.64925 -13.2467003 -12.849 -12.4710503 -12.0761499 -11.6942501 -11.3421001 -10.9854507 -10.651 -10.3091497 -10.0127001 -9.73315048 -9.4208498 -9.12944984 -8.84729958 -8.55924988 -8.28884983 -7.99145031 -7.71915007 -7.45609999 -7.19974995 -6.94024992 -6.69579983 -6.44445038 -6.20030022 -5.94079971 -5.70674992 -5.47765017 -5.24555016 -5.01114988 -4.79695034 -4.56400013 -4.35739994 -4.14280033 -3.93085003 -3.70984983 -3.48075008 -3.24415016 -3.02815008 -2.81820011 -2.60379982 -2.38575006 -2.15964985 -1.91925001 -1.7114501 -1.49810004 -1.27384996 -1.0467 -0.828100026 -0.597550035 -0.367749989 -0.10165 0.133300006 0.381299973 0.64380002 0.924650013 1.19735003 1.4756 1.79034996 2.11460018 2.43709993 2.78415012 3.13450003 3.49685001 3.92724991 4.37680006 4.84520006 5.34095001 5.89594984 6.47905016 7.1732502 7.9744997 8.89015007 9.90130043 11.1997499 12.8283997 14.88585 18.1049995 23.0831985 33.1864014 144.171494 do regularised spline fit for input variable # 17 build map for variable # 17 ------------------------------ Transdef: Tab for variable 18 -70.3423996 -26.6942997 -20.5755501 -17.4354496 -15.4333992 -14.0014 -12.8524494 -11.8952999 -11.1308994 -10.4587994 -9.90365028 -9.39620018 -8.9442997 -8.53705025 -8.16709995 -7.82194996 -7.48764992 -7.18924999 -6.89865017 -6.63210011 -6.36409998 -6.11824989 -5.88934994 -5.65859985 -5.44864988 -5.24119997 -5.06220007 -4.85995007 -4.66895008 -4.48245001 -4.30000019 -4.12699986 -3.9449501 -3.78469992 -3.61609983 -3.46560001 -3.31990004 -3.17005014 -3.01189995 -2.86584997 -2.72134995 -2.5927 -2.44575 -2.30824995 -2.17245007 -2.02869987 -1.88474989 -1.75585008 -1.63085008 -1.50849998 -1.38180006 -1.26265001 -1.14039993 -1.00960004 -0.87804997 -0.761399984 -0.637050033 -0.513999999 -0.398550004 -0.279799998 -0.160999998 -0.0370500013 0.0478999987 0.17385 0.307850003 0.447149992 0.590149999 0.730450034 0.872749984 1.02445006 1.16674995 1.32080007 1.48090005 1.65324998 1.82675004 2.00359988 2.19029999 2.39720011 2.60330009 2.8203001 3.04344988 3.26905012 3.50645018 3.75629997 4.04899979 4.35750008 4.6807003 5.03439999 5.40400028 5.82655001 6.33775043 6.86660004 7.47309971 8.19795036 9.05865002 10.1315498 11.5760498 13.5643005 16.9675484 23.8414497 76.8716965 do regularised spline fit for input variable # 18 build map for variable # 18 ------------------------------ Transdef: Tab for variable 19 -123.233002 -39.0272484 -30.6331501 -25.3056488 -21.5672989 -18.6161995 -16.2789993 -14.4496002 -12.9168997 -11.6090002 -10.4307003 -9.35859966 -8.46865082 -7.67300034 -6.97200012 -6.31529999 -5.70524979 -5.15985012 -4.66445017 -4.2112999 -3.73589993 -3.33424997 -2.90009999 -2.48885012 -2.1180501 -1.77524996 -1.45889997 -1.1164999 -0.785650015 -0.49515 -0.205699995 0. 0.186299995 0.459100008 0.729849994 0.996799946 1.26955009 1.50145006 1.75045002 1.99095011 2.22184992 2.45569992 2.66669989 2.89039993 3.11385012 3.33979988 3.57179999 3.80240011 4.02799988 4.26175022 4.47675037 4.70295 4.94899988 5.18305016 5.42484999 5.67020035 5.90094995 6.12774992 6.3906002 6.61660004 6.85599995 7.09930038 7.35739994 7.59010029 7.8517499 8.09764957 8.3729496 8.64610004 8.91519928 9.17424965 9.45700073 9.73134995 10.0130997 10.3006001 10.6103001 10.9039001 11.2159996 11.52635 11.84165 12.1789494 12.5411501 12.9019003 13.2617493 13.6536503 14.0737495 14.5127001 14.9605999 15.4200001 15.9138002 16.4333 16.9879494 17.6177998 18.3143997 19.0227013 19.8950996 20.8606987 21.9752998 23.3741493 25.4433994 28.5647507 62.0344009 do regularised spline fit for input variable # 19 build map for variable # 19 ------------------------------ Transdef: Tab for variable 20 -113.370796 -37.6591492 -28.9292488 -23.730751 -20.4357986 -17.5373001 -15.3155994 -13.4809999 -11.9513493 -10.6886501 -9.48145008 -8.47704983 -7.62995005 -6.79090023 -6.04364967 -5.37505007 -4.7442503 -4.18099976 -3.64284992 -3.11390018 -2.58839989 -2.12290001 -1.73180008 -1.32034993 -0.900599957 -0.538499951 -0.179100007 0. 0.286300004 0.608500004 0.92900002 1.27079999 1.57739997 1.86925006 2.13934994 2.41944981 2.69659996 2.97279978 3.22240019 3.50024986 3.76209998 4.02970028 4.27710009 4.52900028 4.79325008 5.07835007 5.34814978 5.60270023 5.86945009 6.11884975 6.39419985 6.64494991 6.87654972 7.1385498 7.39529991 7.64505005 7.87695026 8.14010048 8.41135025 8.64570045 8.9109993 9.16265011 9.4154501 9.66499996 9.91650009 10.1700001 10.4208508 10.6816998 10.9496994 11.2071495 11.4810505 11.7546501 12.0302505 12.3190002 12.6303005 12.9309502 13.2201004 13.5318508 13.8554497 14.1835003 14.5115499 14.8671999 15.2469501 15.6436996 16.03895 16.4412994 16.8768005 17.3239517 17.8013992 18.3267498 18.8514004 19.4129505 20.0524006 20.8126488 21.6746483 22.6596489 23.7969513 25.2350006 27.2407494 30.52495 58.6617012 do regularised spline fit for input variable # 20 build map for variable # 20 ------------------------------ Transdef: Tab for variable 21 -109.153397 -34.2565994 -26.6715508 -21.9088497 -18.438549 -16.133049 -14.0246 -12.3827496 -10.9944496 -9.69954967 -8.64965057 -7.6789999 -6.80445004 -5.97920036 -5.22179985 -4.57034969 -3.92619991 -3.35535002 -2.74530005 -2.21299982 -1.76425004 -1.30605006 -0.84740001 -0.433600008 -0.0281000007 0.103249997 0.483449996 0.850999951 1.22204995 1.56515002 1.89319992 2.20309997 2.51744986 2.82205009 3.11739993 3.39829993 3.70394993 4.01265001 4.31610012 4.59835005 4.90550041 5.20724964 5.51949978 5.81015015 6.09054995 6.40839958 6.67815018 6.94904995 7.24450016 7.52855015 7.81045008 8.08575058 8.3933506 8.67430019 8.96755028 9.25485039 9.53485012 9.80774975 10.0924501 10.3965492 10.6865501 10.95965 11.2309494 11.5199499 11.8199501 12.1130505 12.4404497 12.7399502 13.0553503 13.3593998 13.6718998 13.9939499 14.3206501 14.6279001 14.9691505 15.3514996 15.6978502 16.0599499 16.4177017 16.77565 17.1845016 17.5570984 17.9876499 18.4052505 18.8860512 19.3540993 19.8768005 20.3801003 20.95895 21.5559502 22.1878014 22.8609505 23.6257 24.4337997 25.3633003 26.4941502 27.7941494 29.3901997 31.4794998 34.9128494 63.4206009 do regularised spline fit for input variable # 21 build map for variable # 21 ------------------------------ Transdef: Tab for variable 22 -8.66699982 -5.35685015 -4.9142499 -4.625 -4.38749981 -4.22394991 -4.07155037 -3.92995 -3.80795002 -3.69260001 -3.58844995 -3.48749995 -3.39475012 -3.29839993 -3.20895004 -3.12755013 -3.04425001 -2.96589994 -2.89179993 -2.82424998 -2.75449991 -2.68174982 -2.61360002 -2.54550004 -2.47319984 -2.40300012 -2.33759999 -2.27769995 -2.21794987 -2.15719986 -2.09794998 -2.03660011 -1.97940004 -1.92475009 -1.86430001 -1.80614996 -1.75364995 -1.69685006 -1.64345002 -1.59439993 -1.54519999 -1.49469995 -1.4456501 -1.39540005 -1.34599996 -1.29495001 -1.24860001 -1.20299995 -1.15919995 -1.11905003 -1.07104993 -1.02985001 -0.99000001 -0.951650023 -0.911350012 -0.87349999 -0.836050034 -0.801550031 -0.768100023 -0.731350005 -0.6954 -0.664849997 -0.634199977 -0.604449987 -0.575699985 -0.54825002 -0.520349979 -0.493900001 -0.46904999 -0.446099997 -0.424650013 -0.403400004 -0.381349981 -0.361799985 -0.342649996 -0.324699998 -0.306450009 -0.288300008 -0.272399992 warning: map is empty for variable 22 -0.257299989 -0.241400003 -0.2271 -0.213200003 -0.199250013 -0.186800003 -0.173800007 -0.160999998 -0.149100006 -0.137199998 -0.125499994 -0.113799997 -0.102799997 -0.0911500007 -0.0792500004 -0.0671499968 -0.0542500019 -0.0423999988 -0.0311999992 -0.019749999 -0.00870000012 0.0223999992 do regularised spline fit for input variable # 22 build map for variable # 22 warning: map is empty for variable 22 ------------------------------ Transdef: Tab for variable 23 -69.0775986 -3.45939994 -2.72390008 -2.31369996 -2.02570009 -1.79579997 -1.60150003 -1.46619999 -1.35319996 -1.23819995 -1.15390003 -1.07270002 -1.00080001 -0.942600012 -0.883099973 -0.829699993 -0.780399978 -0.741100013 -0.699400008 -0.664799988 -0.624199986 -0.590399981 -0.560000002 -0.526799977 -0.502699971 -0.475800008 -0.448500007 -0.427399993 -0.405299991 -0.3838 -0.362100005 -0.343199998 -0.325300008 -0.307999998 -0.292199999 -0.278100014 -0.262400001 -0.247799993 -0.232700005 -0.219500005 -0.208499998 -0.197600007 -0.187099 warning: map is empty for variable 23 993 -0.176699996 -0.167199999 -0.158999994 -0.150099993 -0.140900001 -0.132200003 -0.123499997 -0.115500003 -0.107500002 -0.100900002 -0.0957000032 -0.0898000002 -0.0841000006 -0.0780000016 -0.0724999979 -0.067900002 -0.0639000013 -0.0590999983 -0.0559 -0.0526000001 -0.0489999987 -0.0452000014 -0.0423000008 -0.0395999998 -0.0363000035 -0.0340000018 -0.0318000019 -0.0294000003 -0.0273000002 -0.0245999992 -0.0229000002 -0.0209999997 -0.0186999999 -0.0171000008 -0.0157999992 -0.0142000001 -0.0130000003 -0.0114000002 -0.0104999999 -0.00910000037 -0.0083999997 -0.00749999983 -0.00659999996 -0.0057000001 -0.00490000006 -0.0046000001 -0.00329999998 -0.00240000011 -0.00159999996 -0.000199999995 0. 0. 0. 0. 0. 0. 0. 0. do regularised spline fit for input variable # 23 build map for variable # 23 warning: map is empty for variable 23 ------------------------------ Transdef: Tab for variable 24 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 4. 4. 4. 4. 4. 4. 4. 5. 5. 5. 5. 5. 6. 6. 6. 7. 7. 8. 8. 9. 10. 11. 12. 15. 18. 60. build map for variable # 24 NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 27. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 28. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 29. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 30. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 31. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 32. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 33. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 34. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 35. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 36. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 37. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 38. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 39. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 40. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 41. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 42. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 43. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 44. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 45. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 46. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 47. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 49. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 50. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 51. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 52. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 53. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 54. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 56. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 57. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 58. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 59. Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 24 for key 60. Unregularised mean is returned ------------------------------ Transdef: Tab for variable 25 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 25 Only one class left for trimmed mean, or sigma very small -> take "normal" mean ------------------------------ Transdef: Tab for variable 26 -4.38635445 -4.07658577 -3.93301249 -3.93301249 -3.93301249 -3.76037169 -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 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.75099778 -3.53776598 -3.33379126 -3.1971724 -3.07013559 -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 -3.05267692 -3.05267692 -3.02817678 -2.92521644 -2.78608036 -2.7432518 -2.73513269 -2.65752363 -2.59536266 -2.58150148 -2.48649311 -2.47145176 -2.34240627 -2.22323799 -2.17956257 -2.03751421 -1.91758156 -1.76026011 -1.68619633 -1.52133799 -1.37403584 -1.14628696 -1.12693501 -0.981886864 -0.849841595 -0.688698292 -0.562947273 -0.434995174 -0.324664116 -0.299777985 -0.238624573 -0.0970249176 -0.02647686 0.046505928 0.094712019 0.287807226 0.490685701 0.490685701 0.82774353 0.82774353 0.979388714 1.50525331 1.50525331 1.85486817 1.85486817 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.0102756 3.7110219 3.7110219 3.7110219 3.7110219 6.10368633 do regularised spline fit for input variable # 26 build map for variable # 26 ------------------------------ Transdef: Tab for variable 27 -4.83247137 -4.13779259 -3.91865158 -3.82398129 -3.67341375 -3.48777628 -3.40355444 -3.29184246 -3.14703274 -3.06765532 -2.92775369 -2.86418295 -2.82780004 -2.79855132 -2.75171995 -2.54819441 -2.45658445 -2.34447193 -2.27513933 -2.2532692 -2.13111186 -2.07558799 -2.0250802 -1.8602047 -1.69983673 -1.57915163 -1.51190472 -1.27011585 -1.21226645 -1.12536526 -0.92034626 -0.766535282 -0.454190493 -0.383093834 -0.216034889 -0.0321698189 0. 0.0190546513 0.0443530083 0.0817759037 0.134883881 0.195245743 0.444800138 0.544784307 0.609764814 0.648853183 0.655275464 0.655275464 0.655275464 0.655275464 0.661087036 0.685791671 0.713219702 0.774406672 0.77837193 0.846491516 0.846491516 0.861260653 0.861260653 0.861260653 0.861260653 0.861260653 0.86666292 0.86666292 0.86666292 0.886415958 0.886415958 0.886415958 0.886415958 0.886415958 0.886415958 0.886415958 0.886415958 0.889773607 0.889773607 0.889773607 0.889773607 0.889773607 0.889773607 0.889773607 0.889773607 0.889886618 1.07367301 1.07367301 1.28320694 1.52356219 1.57867718 1.57867718 1.68348682 1.71639228 1.71639228 1.71639228 1.72373497 1.88367021 1.88367021 1.88367021 1.88367021 1.95275068 1.95275068 2.08719873 2.50609303 do regularised spline fit for input variable # 27 build map for variable # 27 ------------------------------ Transdef: Tab for variable 28 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 28 Only one class left for trimmed mean, or sigma very small -> take "normal" mean ------------------------------ Transdef: Tab for variable 29 -2.88871217 -1.90469551 -1.75054502 -1.74314022 -1.66117239 -1.64685678 -1.58526659 -1.51347256 -1.48460245 -1.46918011 -1.4421711 -1.4421711 -1.4421711 -1.43960333 -1.43960333 -1.43960333 -1.43003082 -1.42864656 -1.42074847 -1.42074847 -1.42002678 -1.42002678 -1.42002678 -1.40580082 -1.40580082 -1.36207294 -1.34584188 -1.28674793 -1.28373051 -1.27115393 -1.27115393 -1.26972222 -1.25511312 -1.25184965 -1.19617558 -1.18827415 -1.16207457 -1.15526915 -1.12623024 -1.0316782 -1.01523805 -0.965363503 -0.965363503 -0.962390423 -0.951852322 -0.932742596 -0.932742596 -0.913193226 -0.892025471 -0.860878468 -0.860878468 -0.837831974 -0.828504562 -0.828504562 -0.817952156 -0.783802986 -0.783802986 -0.748746395 -0.676613331 -0.652016163 -0.59484911 -0.574949503 -0.555638313 -0.539862633 -0.522046566 -0.486031055 -0.434957027 -0.35004282 -0.33365798 -0.300168037 -0.275808811 -0.248115301 -0.205456018 -0.166717768 -0.145138025 -0.0648195744 -0.0360507965 -0.0360507965 0.056071043 0.0999355316 0.27294445 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.4519777 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 0.685016572 2.25644875 do regularised spline fit for input variable # 29 build map for variable # 29 ------------------------------ Transdef: Tab for variable 30 -3.88792086 -3.0499897 -2.98749042 -2.98749042 -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 -2.6443696 -2.6443696 -2.6443696 -2.6443696 -2.6443696 -2.01507044 -1.85529089 -1.57796812 -1.34175134 -1.34175134 -1.27280951 -1.09337854 -1.04011393 -0.955205441 -0.814167023 -0.751433372 -0.66257143 -0.515433788 -0.378817558 -0.263629198 -0.22993207 -0.176642895 -0.114483833 -0.0455679893 0.0196938515 0.0694074631 0.117210872 0.118966579 0.162737846 0.181744099 0.231095791 0.297637939 0.367925882 0.411445141 0.516805172 0.602918386 0.610150814 0.671965122 0.692566514 0.728348732 0.742093563 0.784049273 0.811116695 0.891619205 0.891619205 0.938410282 1.00459433 1.00459433 1.00973034 1.06423879 1.11595201 1.18351984 1.18351984 1.22978187 1.22978187 1.3313694 1.45409203 1.50853133 1.53778172 1.53778172 1.53778172 1.53778172 1.54856634 1.60072923 1.60293245 1.60293245 1.67202449 1.67202449 1.70096993 1.74449468 1.93004096 2.02236271 2.04071283 2.04071283 2.07204652 2.07204652 2.09367514 2.12448406 2.16928816 2.1698451 2.18293715 2.3023243 2.61016369 do regularised spline fit for input variable # 30 build map for variable # 30 ------------------------------ Transdef: Tab for variable 31 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. build map for variable # 31 Only one class left for trimmed mean, or sigma very small -> take "normal" mean ------------------------------ Transdef: Tab for variable 32 -5.50334072 -4.55210114 -4.4529171 -4.00359297 -4.00359297 -4.00359297 -4.00359297 -4.00359297 -4.00359297 -4.00359297 -4.00359297 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.41162062 -3.38835359 -3.38835359 -3.38835359 -3.38835359 -3.27466583 -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 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -2.97885537 -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 -2.31352472 -2.31352472 -2.31352472 -1.93280864 -1.93280864 -1.31528616 -1.31528616 -1.01728535 -0.567905903 -0.440608263 -0.0580744743 0.340180874 0.570206642 0.85964179 0.988480806 1.18183899 1.48104787 1.55486298 1.79864836 1.93889809 2.07892203 2.26416016 2.30800223 2.45943403 2.60252285 2.67212486 2.89190316 2.97636247 3.06042576 4.8262496 do regularised spline fit for input variable # 32 build map for variable # 32 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 0 0.6 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 15.3 4.8 19.2 22.5 17.6 22.2 26.9 4.0 11.9 12.7 9.7 4.9 0.6 4.9 10.9 9.5 38.0 11.2 10.7 9.8 24.7 23.3 20.8 1.6 20.5 23.4 0.6 19.5 21.9 1.5 17.1 2 15.3 100.0 2.0 1.9 11.5 11.2 12.9 29.7 -0.5 8.8 12.5 -1.6 -2.4 1.8 -2.0 -0.7 -0.6 9.8 6.0 5.9 5.1 13.5 11.6 31.4 1.9 22.6 13.9 -0.7 3.7 9.8 2.2 7.9 3 4.8 2.0 100.0 21.0 3.0 -11.2 3.7 2.9 -0.5 -2.7 -13.1 -13.9 -6.0 -44.2 11.4 20.8 6.5 -1.0 16.2 12.6 13.2 21.9 1.6 13.3 -15.0 13.1 3.7 14.6 -1.1 0.1 -10.4 19.5 4 19.2 1.9 21.0 100.0 11.8 -0.4 10.1 9.5 -1.1 1.3 3.6 43.3 20.2 -25.6 24.5 51.3 16.5 7.3 27.7 26.4 24.8 11.2 12.0 22.5 -14.9 28.1 20.9 21.9 5.4 11.7 -10.8 23.0 5 22.5 11.5 3.0 11.8 100.0 26.3 77.3 79.8 1.7 37.0 19.3 0.3 -0.7 -1.4 0.7 1.6 -3.7 13.0 18.6 16.6 13.6 5.3 4.8 6.6 -1.6 0.4 -2.1 2.5 6.1 6.1 -0.5 -1.6 6 17.6 11.2 -11.2 -0.4 26.3 100.0 36.9 36.9 -3.4 33.6 84.7 -0.9 1.9 23.6 -5.8 -6.9 -8.9 10.6 9.5 8.0 5.8 5.2 3.0 9.2 8.7 6.4 7.2 -3.6 8.7 10.9 7.0 -2.2 7 22.2 12.9 3.7 10.1 77.3 36.9 100.0 75.8 -0.3 32.6 27.4 -3.0 -3.0 -2.9 -0.5 -1.2 -4.8 13.1 19.4 17.4 14.1 6.6 5.7 8.1 -3.2 0.1 -2.6 2.3 5.9 6.1 -1.7 -2.0 8 26.9 29.7 2.9 9.5 79.8 36.9 75.8 100.0 1.4 34.5 23.9 -3.1 -0.9 0.1 0.2 -1.7 -5.8 17.4 21.9 19.9 16.5 8.4 7.0 13.0 -1.0 6.1 1.9 2.5 5.5 7.6 0.0 0.1 9 4.0 -0.5 -0.5 -1.1 1.7 -3.4 -0.3 1.4 100.0 -1.9 -5.4 0.1 2.1 1.3 1.5 -0.1 2.1 1.1 1.3 1.0 1.0 -0.2 0.3 -2.9 0.4 -0.6 -0.1 -0.9 0.5 0.5 0.3 0.2 10 11.9 8.8 -2.7 1.3 37.0 33.6 32.6 34.5 -1.9 100.0 34.2 -4.2 -2.3 7.8 -4.7 -5.6 -7.3 7.2 8.5 7.5 5.4 5.6 3.8 7.3 2.9 1.4 2.7 0.6 5.8 7.7 3.0 -2.5 11 12.7 12.5 -13.1 3.6 19.3 84.7 27.4 23.9 -5.4 34.2 100.0 2.4 2.6 25.3 -5.8 -4.3 -7.2 7.5 4.9 4.1 2.8 8.4 5.5 13.0 11.6 11.1 11.0 -4.8 10.1 13.8 9.2 0.5 12 9.7 -1.6 -13.9 43.3 0.3 -0.9 -3.0 -3.1 0.1 -4.2 2.4 100.0 35.5 11.6 28.1 86.8 25.1 2.9 4.7 5.0 7.6 -6.7 1.3 5.4 -3.0 12.8 13.6 6.9 8.7 8.0 -2.7 9.3 13 4.9 -2.4 -6.0 20.2 -0.7 1.9 -3.0 -0.9 2.1 -2.3 2.6 35.5 100.0 5.3 77.2 37.4 41.6 10.2 31.5 34.8 39.6 -2.1 1.5 2.8 -1.4 6.1 6.6 2.9 3.6 3.7 -1.1 4.4 14 0.6 1.8 -44.2 -25.6 -1.4 23.6 -2.9 0.1 1.3 7.8 25.3 11.6 5.3 100.0 -21.5 -9.6 -10.6 -2.0 -14.9 -16.0 -14.9 -17.7 -7.0 -13.2 8.6 -7.9 1.4 -6.0 8.7 4.7 5.6 -11.2 15 4.9 -2.0 11.4 24.5 0.7 -5.8 -0.5 0.2 1.5 -4.7 -5.8 28.1 77.2 -21.5 100.0 32.4 52.1 12.7 42.8 45.6 50.1 4.9 3.5 6.6 -4.2 8.3 5.9 5.1 1.9 2.6 -3.1 7.9 16 10.9 -0.7 20.8 51.3 1.6 -6.9 -1.2 -1.7 -0.1 -5.6 -4.3 86.8 37.4 -9.6 32.4 100.0 26.3 2.6 13.0 12.1 15.3 4.9 5.1 12.4 -10.1 18.2 14.0 13.7 6.7 7.2 -7.7 17.9 17 9.5 -0.6 6.5 16.5 -3.7 -8.9 -4.8 -5.8 2.1 -7.3 -7.2 25.1 41.6 -10.6 52.1 26.3 100.0 -11.4 14.7 15.7 18.4 5.7 6.1 5.2 -1.8 19.6 16.2 2.8 9.8 8.4 -1.4 21.8 18 38.0 9.8 -1.0 7.3 13.0 10.6 13.1 17.4 1.1 7.2 7.5 2.9 10.2 -2.0 12.7 2.6 -11.4 100.0 7.5 8.3 7.8 9.0 9.6 9.3 1.8 2.9 5.5 -0.4 7.8 8.4 1.6 -1.0 19 11.2 6.0 16.2 27.7 18.6 9.5 19.4 21.9 1.3 8.5 4.9 4.7 31.5 -14.9 42.8 13.0 14.7 7.5 100.0 96.7 91.5 8.0 5.2 10.5 -6.8 10.5 5.7 8.2 1.2 4.0 -4.4 10.4 20 10.7 5.9 12.6 26.4 16.6 8.0 17.4 19.9 1.0 7.5 4.1 5.0 34.8 -16.0 45.6 12.1 15.7 8.3 96.7 100.0 95.8 8.2 5.8 10.8 -5.9 10.1 5.8 7.3 1.1 3.8 -3.7 9.8 21 9.8 5.1 13.2 24.8 13.6 5.8 14.1 16.5 1.0 5.4 2.8 7.6 39.6 -14.9 50.1 15.3 18.4 7.8 91.5 95.8 100.0 7.6 5.5 9.7 -5.1 10.4 5.8 6.4 1.4 3.6 -3.2 10.0 22 24.7 13.5 21.9 11.2 5.3 5.2 6.6 8.4 -0.2 5.6 8.4 -6.7 -2.1 -17.7 4.9 4.9 5.7 9.0 8.0 8.2 7.6 100.0 89.8 44.2 3.7 25.7 27.9 -2.6 22.3 27.8 3.5 25.2 23 23.3 11.6 1.6 12.0 4.8 3.0 5.7 7.0 0.3 3.8 5.5 1.3 1.5 -7.0 3.5 5.1 6.1 9.6 5.2 5.8 5.5 89.8 100.0 38.9 -1.1 22.2 25.3 2.9 24.3 26.7 -0.1 21.0 24 20.8 31.4 13.3 22.5 6.6 9.2 8.1 13.0 -2.9 7.3 13.0 5.4 2.8 -13.2 6.6 12.4 5.2 9.3 10.5 10.8 9.7 44.2 38.9 100.0 -2.4 31.0 28.5 4.9 15.8 22.1 -1.4 22.9 25 1.6 1.9 -15.0 -14.9 -1.6 8.7 -3.2 -1.0 0.4 2.9 11.6 -3.0 -1.4 8.6 -4.2 -10.1 -1.8 1.8 -6.8 -5.9 -5.1 3.7 -1.1 -2.4 100.0 7.6 6.5 -53.9 -3.3 -1.2 70.2 4.1 26 20.5 22.6 13.1 28.1 0.4 6.4 0.1 6.1 -0.6 1.4 11.1 12.8 6.1 -7.9 8.3 18.2 19.6 2.9 10.5 10.1 10.4 25.7 22.2 31.0 7.6 100.0 48.8 -1.5 22.5 25.0 5.1 56.5 27 23.4 13.9 3.7 20.9 -2.1 7.2 -2.6 1.9 -0.1 2.7 11.0 13.6 6.6 1.4 5.9 14.0 16.2 5.5 5.7 5.8 5.8 27.9 25.3 28.5 6.5 48.8 100.0 -0.7 32.6 31.6 4.4 45.0 28 0.6 -0.7 14.6 21.9 2.5 -3.6 2.3 2.5 -0.9 0.6 -4.8 6.9 2.9 -6.0 5.1 13.7 2.8 -0.4 8.2 7.3 6.4 -2.6 2.9 4.9 -53.9 -1.5 -0.7 100.0 5.5 3.9 -40.1 0.6 29 19.5 3.7 -1.1 5.4 6.1 8.7 5.9 5.5 0.5 5.8 10.1 8.7 3.6 8.7 1.9 6.7 9.8 7.8 1.2 1.1 1.4 22.3 24.3 15.8 -3.3 22.5 32.6 5.5 100.0 78.6 -3.0 25.2 30 21.9 9.8 0.1 11.7 6.1 10.9 6.1 7.6 0.5 7.7 13.8 8.0 3.7 4.7 2.6 7.2 8.4 8.4 4.0 3.8 3.6 27.8 26.7 22.1 -1.2 25.0 31.6 3.9 78.6 100.0 -1.1 23.6 31 1.5 2.2 -10.4 -10.8 -0.5 7.0 -1.7 0.0 0.3 3.0 9.2 -2.7 -1.1 5.6 -3.1 -7.7 -1.4 1.6 -4.4 -3.7 -3.2 3.5 -0.1 -1.4 70.2 5.1 4.4 -40.1 -3.0 -1.1 100.0 8.5 32 17.1 7.9 19.5 23.0 -1.6 -2.2 -2.0 0.1 0.2 -2.5 0.5 9.3 4.4 -11.2 7.9 17.9 21.8 -1.0 10.4 9.8 10.0 25.2 21.0 22.9 4.1 56.5 45.0 0.6 25.2 23.6 8.5 100.0 TOTAL CORRELATION TO TARGET (diagonal) 93.9182389 TOTAL CORRELATION OF ALL VARIABLES 55.0444289 ROUND 1: MAX CORR ( 55.0442231) AFTER KILLING INPUT VARIABLE 13 CONTR 0.150511304 ROUND 2: MAX CORR ( 55.043862) AFTER KILLING INPUT VARIABLE 31 CONTR 0.199395486 ROUND 3: MAX CORR ( 55.0430949) AFTER KILLING INPUT VARIABLE 25 CONTR 0.29059926 ROUND 4: MAX CORR ( 55.0418944) AFTER KILLING INPUT VARIABLE 23 CONTR 0.363532085 ROUND 5: MAX CORR ( 55.0399455) AFTER KILLING INPUT VARIABLE 19 CONTR 0.463179305 ROUND 6: MAX CORR ( 55.0365382) AFTER KILLING INPUT VARIABLE 20 CONTR 0.612429573 ROUND 7: MAX CORR ( 55.0303119) AFTER KILLING INPUT VARIABLE 10 CONTR 0.827831198 ROUND 8: MAX CORR ( 55.0205821) AFTER KILLING INPUT VARIABLE 29 CONTR 1.03478225 ROUND 9: MAX CORR ( 55.008238) AFTER KILLING INPUT VARIABLE 16 CONTR 1.16541876 ROUND 10: MAX CORR ( 54.9921129) AFTER KILLING INPUT VARIABLE 3 CONTR 1.33183127 ROUND 11: MAX CORR ( 54.9679836) AFTER KILLING INPUT VARIABLE 28 CONTR 1.62888355 ROUND 12: MAX CORR ( 54.9389015) AFTER KILLING INPUT VARIABLE 7 CONTR 1.78782391 ROUND 13: MAX CORR ( 54.906821) AFTER KILLING INPUT VARIABLE 26 CONTR 1.87720761 ROUND 14: MAX CORR ( 54.8659331) AFTER KILLING INPUT VARIABLE 24 CONTR 2.11857825 ROUND 15: MAX CORR ( 54.8115757) AFTER KILLING INPUT VARIABLE 12 CONTR 2.441677 ROUND 16: MAX CORR ( 54.7556539) AFTER KILLING INPUT VARIABLE 21 CONTR 2.47531819 ROUND 17: MAX CORR ( 54.6646992) AFTER KILLING INPUT VARIABLE 9 CONTR 3.15472573 ROUND 18: MAX CORR ( 54.5709322) AFTER KILLING INPUT VARIABLE 2 CONTR 3.20042079 ROUND 19: MAX CORR ( 54.4724395) AFTER KILLING INPUT VARIABLE 5 CONTR 3.27719074 ROUND 20: MAX CORR ( 54.3759918) AFTER KILLING INPUT VARIABLE 32 CONTR 3.24009018 ROUND 21: MAX CORR ( 54.189181) AFTER KILLING INPUT VARIABLE 14 CONTR 4.50345978 ROUND 22: MAX CORR ( 53.9871487) AFTER KILLING INPUT VARIABLE 11 CONTR 4.67494427 ROUND 23: MAX CORR ( 53.672054) AFTER KILLING INPUT VARIABLE 6 CONTR 5.82433197 ROUND 24: MAX CORR ( 53.1373473) AFTER KILLING INPUT VARIABLE 30 CONTR 7.55722899 ROUND 25: MAX CORR ( 52.1890512) AFTER KILLING INPUT VARIABLE 15 CONTR 9.99402849 ROUND 26: MAX CORR ( 51.5019684) AFTER KILLING INPUT VARIABLE 4 CONTR 8.44063524 ROUND 27: MAX CORR ( 50.3232826) AFTER KILLING INPUT VARIABLE 17 CONTR 10.9553628 ROUND 28: MAX CORR ( 48.1346545) AFTER KILLING INPUT VARIABLE 22 CONTR 14.679503 ROUND 29: MAX CORR ( 43.6314723) AFTER KILLING INPUT VARIABLE 8 CONTR 20.3282952 ROUND 30: MAX CORR ( 38.0335915) AFTER KILLING INPUT VARIABLE 27 CONTR 21.3810966 LAST REMAINING VARIABLE: 18 total correlation to target: 55.0444289 % total significance: 136.404715 sigma correlations of single variables to target: variable 2: 15.3069687 % , in sigma: 37.9319532 variable 3: 4.76164594 % , in sigma: 11.7997583 variable 4: 19.1935191 % , in sigma: 47.5631513 variable 5: 22.522379 % , in sigma: 55.8123456 variable 6: 17.5648271 % , in sigma: 43.527116 variable 7: 22.1914201 % , in sigma: 54.9922017 variable 8: 26.8546074 % , in sigma: 66.5479713 variable 9: 3.96929942 % , in sigma: 9.83625713 variable 10: 11.8622341 % , in sigma: 29.3956117 variable 11: 12.6858613 % , in sigma: 31.436629 variable 12: 9.71523605 % , in sigma: 24.0751704 variable 13: 4.90657442 % , in sigma: 12.1589033 variable 14: 0.56217866 % , in sigma: 1.39312591 variable 15: 4.90625935 % , in sigma: 12.1581225 variable 16: 10.8503918 % , in sigma: 26.8881815 variable 17: 9.52968446 % , in sigma: 23.615358 variable 18: 38.0335915 % , in sigma: 94.2504323 variable 19: 11.2486214 % , in sigma: 27.875028 variable 20: 10.6838676 % , in sigma: 26.4755206 variable 21: 9.79005675 % , in sigma: 24.2605824 variable 22: 24.6883187 % , in sigma: 61.179726 variable 23: 23.3245982 % , in sigma: 57.8003121 variable 24: 20.8210082 % , in sigma: 51.596206 variable 25: 1.59621218 % , in sigma: 3.95554778 variable 26: 20.5086864 % , in sigma: 50.8222463 variable 27: 23.4415983 % , in sigma: 58.0902483 variable 28: 0.563677107 % , in sigma: 1.39683919 variable 29: 19.5451775 % , in sigma: 48.4345905 variable 30: 21.8751756 % , in sigma: 54.2085212 variable 31: 1.4664624 % , in sigma: 3.63401692 variable 32: 17.0662585 % , in sigma: 42.291621 variables sorted by significance: 1 most relevant variable 18 corr 38.0335922 , in sigma: 94.250434 2 most relevant variable 27 corr 21.3810959 , in sigma: 52.9841503 3 most relevant variable 8 corr 20.3282948 , in sigma: 50.3752207 4 most relevant variable 22 corr 14.6795034 , in sigma: 36.3770417 5 most relevant variable 17 corr 10.9553633 , in sigma: 27.1483098 6 most relevant variable 4 corr 8.44063568 , in sigma: 20.9166037 7 most relevant variable 15 corr 9.99402809 , in sigma: 24.7660405 8 most relevant variable 30 corr 7.55722904 , in sigma: 18.7274479 9 most relevant variable 6 corr 5.82433176 , in sigma: 14.433183 10 most relevant variable 11 corr 4.6749444 , in sigma: 11.5849046 11 most relevant variable 14 corr 4.50345993 , in sigma: 11.1599517 12 most relevant variable 32 corr 3.24009013 , in sigma: 8.02921531 13 most relevant variable 5 corr 3.27719069 , in sigma: 8.1211536 14 most relevant variable 2 corr 3.20042086 , in sigma: 7.93091152 15 most relevant variable 9 corr 3.15472579 , in sigma: 7.81767531 16 most relevant variable 21 corr 2.47531819 , in sigma: 6.13404625 17 most relevant variable 12 corr 2.44167709 , in sigma: 6.05068079 18 most relevant variable 24 corr 2.1185782 , in sigma: 5.2500146 19 most relevant variable 26 corr 1.87720764 , in sigma: 4.65187809 20 most relevant variable 7 corr 1.78782392 , in sigma: 4.43037773 21 most relevant variable 28 corr 1.6288836 , in sigma: 4.03651029 22 most relevant variable 3 corr 1.33183122 , in sigma: 3.30038955 23 most relevant variable 16 corr 1.16541874 , in sigma: 2.88800547 24 most relevant variable 29 corr 1.03478229 , in sigma: 2.56427737 25 most relevant variable 10 corr 0.827831209 , in sigma: 2.05143522 26 most relevant variable 20 corr 0.612429559 , in sigma: 1.51765185 27 most relevant variable 19 corr 0.46317932 , in sigma: 1.14779723 28 most relevant variable 23 corr 0.363532096 , in sigma: 0.900863048 29 most relevant variable 25 corr 0.290599257 , in sigma: 0.72012935 30 most relevant variable 31 corr 0.199395493 , in sigma: 0.494118768 31 most relevant variable 13 corr 0.15051131 , in sigma: 0.372979658 global correlations between input variables: variable 2: 49.1015416 % variable 3: 76.3962887 % variable 4: 66.1446238 % variable 5: 85.3631936 % variable 6: 87.2654079 % variable 7: 82.0534957 % variable 8: 86.4447507 % variable 9: 8.50312155 % variable 10: 47.0639874 % variable 11: 86.6885148 % variable 12: 93.6870448 % variable 13: 83.0831701 % variable 14: 64.1932659 % variable 15: 86.2606189 % variable 16: 93.9654474 % variable 17: 60.3160735 % variable 18: 33.1812776 % variable 19: 96.9985795 % variable 20: 98.4575456 % variable 21: 96.230508 % variable 22: 93.4252511 % variable 23: 92.5715743 % variable 24: 56.606643 % variable 25: 76.3511986 % variable 26: 66.8314477 % variable 27: 59.8324316 % variable 28: 57.3248141 % variable 29: 80.2720369 % variable 30: 80.2131826 % variable 31: 70.649161 % variable 32: 64.1072725 % significance loss when removing single variables: variable 2: corr = 2.36673678 % , sigma = 5.86497239 variable 3: corr = 1.44065644 % , sigma = 3.57006758 variable 4: corr = 7.47349887 % , sigma = 18.5199575 variable 5: corr = 2.55753969 % , sigma = 6.33779802 variable 6: corr = 7.21076715 % , sigma = 17.8688863 variable 7: corr = 1.78947054 % , sigma = 4.43445819 variable 8: corr = 4.02496745 % , sigma = 9.9742072 variable 9: corr = 3.23042624 % , sigma = 8.00526737 variable 10: corr = 0.830739339 % , sigma = 2.05864181 variable 11: corr = 5.79317566 % , sigma = 14.3559755 variable 12: corr = 2.14942556 % , sigma = 5.32645696 variable 13: corr = 0.150511304 % , sigma = 0.372979646 variable 14: corr = 3.79228071 % , sigma = 9.39758992 variable 15: corr = 6.60330366 % , sigma = 16.3635407 variable 16: corr = 1.18124132 % , sigma = 2.92721514 variable 17: corr = 12.0819979 % , sigma = 29.940205 variable 18: corr = 32.4937122 % , sigma = 80.5221463 variable 19: corr = 0.48445344 % , sigma = 1.20051629 variable 20: corr = 0.763200039 % , sigma = 1.89127376 variable 21: corr = 1.53701107 % , sigma = 3.80884244 variable 22: corr = 4.94804041 % , sigma = 12.2616595 variable 23: corr = 0.344774583 % , sigma = 0.854380357 variable 24: corr = 2.104212 % , sigma = 5.21441396 variable 25: corr = 0.3518509 % , sigma = 0.871916065 variable 26: corr = 1.80219463 % , sigma = 4.46598957 variable 27: corr = 6.31866959 % , sigma = 15.6581936 variable 28: corr = 1.32421825 % , sigma = 3.28152397 variable 29: corr = 1.07233157 % , sigma = 2.65732764 variable 30: corr = 3.36266437 % , sigma = 8.33296457 variable 31: corr = 0.200536787 % , sigma = 0.49694699 variable 32: corr = 1.82733348 % , sigma = 4.52828575 Keep only 22 most significant input variables Sum of Weights for output node 2 61409. FLAT2DEF: TAB(KK=1, II= 2) = -2.28114057 create test 22 plots 9100/9200: 2 NVar: 23. 4022 --------- Entering internal boost mode: --------- Weightsum per Output Node: 61409. Starting analysis with 44 variables. PREPRO: (sigma of derived input)/eigenvalue # 1 : 2.71255732 PREPRO: (sigma of derived input)/eigenvalue # 2 : 2.37292409 PREPRO: (sigma of derived input)/eigenvalue # 3 : 2.09474945 PREPRO: (sigma of derived input)/eigenvalue # 4 : 1.89884746 PREPRO: (sigma of derived input)/eigenvalue # 5 : 1.6434418 PREPRO: (sigma of derived input)/eigenvalue # 6 : 1.5547806 PREPRO: (sigma of derived input)/eigenvalue # 7 : 1.46546686 PREPRO: (sigma of derived input)/eigenvalue # 8 : 1.31209934 PREPRO: (sigma of derived input)/eigenvalue # 9 : 1.22764397 PREPRO: (sigma of derived input)/eigenvalue # 10 : 1.11741912 PREPRO: (sigma of derived input)/eigenvalue # 11 : 1.09575641 PREPRO: (sigma of derived input)/eigenvalue # 12 : 1.02184892 PREPRO: (sigma of derived input)/eigenvalue # 13 : 1.00090909 PREPRO: (sigma of derived input)/eigenvalue # 14 : 0.997765362 PREPRO: (sigma of derived input)/eigenvalue # 15 : 0.975194335 PREPRO: (sigma of derived input)/eigenvalue # 16 : 0.919013619 PREPRO: (sigma of derived input)/eigenvalue # 17 : 0.82668674 PREPRO: (sigma of derived input)/eigenvalue # 18 : 0.756932616 PREPRO: (sigma of derived input)/eigenvalue # 19 : 0.731062889 PREPRO: (sigma of derived input)/eigenvalue # 20 : 0.707797587 PREPRO: (sigma of derived input)/eigenvalue # 21 : 0.671325147 PREPRO: (sigma of derived input)/eigenvalue # 22 : 0.644573629 PREPRO: (sigma of derived input)/eigenvalue # 23 : 0.618681908 PREPRO: (sigma of derived input)/eigenvalue # 24 : 0.573443532 PREPRO: (sigma of derived input)/eigenvalue # 25 : 0.55837512 PREPRO: (sigma of derived input)/eigenvalue # 26 : 0.499434382 PREPRO: (sigma of derived input)/eigenvalue # 27 : 0.491268635 PREPRO: (sigma of derived input)/eigenvalue # 28 : 0.427270621 PREPRO: (sigma of derived input)/eigenvalue # 29 : 0.353176981 PREPRO: (sigma of derived input)/eigenvalue # 30 : 0.299218267 PREPRO: (sigma of derived input)/eigenvalue # 31 : 0.278431922 PREPRO: (sigma of derived input)/eigenvalue # 32 : 0.205059037 PREPRO: (sigma of derived input)/eigenvalue # 33 : 0.187361747 PREPRO: (sigma of derived input)/eigenvalue # 34 : 0.114361323 PREPRO: (sigma of derived input)/eigenvalue # 35 : 0.000525304698 PREPRO: (sigma of derived input)/eigenvalue # 36 : 0.000294736179 PREPRO: (sigma of derived input)/eigenvalue # 37 : 0.000294736179 PREPRO: (sigma of derived input)/eigenvalue # 38 : 0.000277979503 PREPRO: (sigma of derived input)/eigenvalue # 39 : 9.59387378E-08 PREPRO: (sigma of derived input)/eigenvalue # 40 : 1.73890569E-07 PREPRO: (sigma of derived input)/eigenvalue # 41 : 0.000165120509 PREPRO: (sigma of derived input)/eigenvalue # 42 : 0.000165120509 PREPRO: (sigma of derived input)/eigenvalue # 43 : 0.000285057089 PREPRO: (sigma of derived input)/eigenvalue # 44 : 0.000521497976 Using 34 variables out of 44 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 0 0.6 2.7 2.4 2.1 1.9 1.6 1.6 1.5 1.3 1.2 1.1 1.1 1.0 1.0 1.0 1.0 0.9 0.8 0.8 0.7 0.7 0.7 0.6 0.6 0.6 0.6 0.5 0.5 0.4 0.4 0.3 0.3 0.2 0.2 0.1 1 100.0 10.2 4.6 39.6 -10.0 7.6 -6.6 5.0 3.9 -7.6 8.2 -6.6 -16.8 0.7 -2.4 7.6 -0.8 0.1 4.8 5.5 6.1 6.4 12.1 5.1 -2.3 0.0 0.7 0.4 0.8 -0.2 -3.3 1.9 10.8 -0.7 -1.0 2 10.2 100.0 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 3 4.6 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 4 39.6 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 5 -10.0 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 6 7.6 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 7 -6.6 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 8 5.0 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 9 3.9 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 10 -7.6 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 11 8.2 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 12 -6.6 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 13 -16.8 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 14 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 15 -2.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 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 16 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 0.0 100.0 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 17 -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 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 18 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 0.0 100.0 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 19 4.8 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 0.0 100.0 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 20 5.5 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 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 21 6.1 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 0.0 100.0 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 22 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 0.0 100.0 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 23 12.1 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24 5.1 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 25 -2.3 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 27 0.7 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 28 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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29 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 0.0 0.0 0.0 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 30 -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 0.0 100.0 0.0 0.0 0.0 0.0 0.0 31 -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 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 32 1.9 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 0.0 100.0 0.0 0.0 0.0 33 10.8 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 0.0 100.0 0.0 0.0 34 -0.7 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 35 -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 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 53.7558205 PREPRO: MEAN( 1)= -0.801104073 WIDTH 0.358238098 PREPRO: MEAN( 2)= 2.77742173E-08 WIDTH 7.35796942 PREPRO: MEAN( 3)= 4.53524323E-08 WIDTH 5.63076478 PREPRO: MEAN( 4)= -1.60127839E-07 WIDTH 4.38797686 PREPRO: MEAN( 5)= 2.43813127E-07 WIDTH 3.60562245 PREPRO: MEAN( 6)= -1.62221942E-08 WIDTH 2.7009009 PREPRO: MEAN( 7)= -6.97124801E-08 WIDTH 2.41734212 PREPRO: MEAN( 8)= 8.11936254E-08 WIDTH 2.147593 PREPRO: MEAN( 9)= 3.32463156E-08 WIDTH 1.72160477 PREPRO: MEAN( 10)= -1.17524025E-08 WIDTH 1.50710964 PREPRO: MEAN( 11)= 8.11823874E-08 WIDTH 1.24862529 PREPRO: MEAN( 12)= 4.70751266E-08 WIDTH 1.20068175 PREPRO: MEAN( 13)= 2.22514194E-08 WIDTH 1.04417547 PREPRO: MEAN( 14)= -2.19819735E-08 WIDTH 1.00181855 PREPRO: MEAN( 15)= 3.75117848E-09 WIDTH 0.995536774 PREPRO: MEAN( 16)= -2.57500478E-08 WIDTH 0.951004301 PREPRO: MEAN( 17)= -1.4393115E-08 WIDTH 0.844586142 PREPRO: MEAN( 18)= 7.86139442E-09 WIDTH 0.683410929 PREPRO: MEAN( 19)= 6.19284128E-08 WIDTH 0.572947231 PREPRO: MEAN( 20)= -1.12711985E-08 WIDTH 0.534452929 PREPRO: MEAN( 21)= 4.75597604E-09 WIDTH 0.500977289 PREPRO: MEAN( 22)= 4.14525674E-10 WIDTH 0.450677427 PREPRO: MEAN( 23)= -5.02675536E-08 WIDTH 0.415475101 PREPRO: MEAN( 24)= 1.09717834E-08 WIDTH 0.382767463 PREPRO: MEAN( 25)= -6.95131334E-09 WIDTH 0.328837151 PREPRO: MEAN( 26)= -2.51293721E-08 WIDTH 0.311782814 PREPRO: MEAN( 27)= 1.95147949E-08 WIDTH 0.249434737 PREPRO: MEAN( 28)= 1.63308697E-08 WIDTH 0.241344862 PREPRO: MEAN( 29)= -1.35321384E-08 WIDTH 0.182560289 PREPRO: MEAN( 30)= -1.39454007E-08 WIDTH 0.124734008 PREPRO: MEAN( 31)= -5.48068696E-09 WIDTH 0.0895315857 PREPRO: MEAN( 32)= -1.5750299E-08 WIDTH 0.0775242964 PREPRO: MEAN( 33)= 9.94982725E-09 WIDTH 0.0420491789 PREPRO: MEAN( 34)= -4.15981244E-09 WIDTH 0.0351044777 PREPRO: MEAN( 35)= -1.15261635E-08 WIDTH 0.0130784375 ------------------------------------- Teacher: actual network topology: Nodes(1) = 35 Nodes(2) = 37 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 24 --> 31.9214439 sigma out 37 active outputs RANK 2 NODE 34 --> 28.7730198 sigma out 37 active outputs RANK 3 NODE 19 --> 28.0640945 sigma out 37 active outputs RANK 4 NODE 8 --> 27.3020077 sigma out 37 active outputs RANK 5 NODE 15 --> 26.5330887 sigma out 37 active outputs RANK 6 NODE 4 --> 26.4347992 sigma out 37 active outputs RANK 7 NODE 20 --> 26.2655067 sigma out 37 active outputs RANK 8 NODE 16 --> 25.6697712 sigma out 37 active outputs RANK 9 NODE 5 --> 25.6576576 sigma out 37 active outputs RANK 10 NODE 9 --> 25.0559177 sigma out 37 active outputs RANK 11 NODE 33 --> 25.0001411 sigma out 37 active outputs RANK 12 NODE 7 --> 24.9056644 sigma out 37 active outputs RANK 13 NODE 27 --> 24.1591187 sigma out 37 active outputs RANK 14 NODE 11 --> 23.5245533 sigma out 37 active outputs RANK 15 NODE 23 --> 23.5144691 sigma out 37 active outputs RANK 16 NODE 17 --> 23.4705143 sigma out 37 active outputs RANK 17 NODE 31 --> 23.3006191 sigma out 37 active outputs RANK 18 NODE 12 --> 23.0551567 sigma out 37 active outputs RANK 19 NODE 28 --> 22.9085598 sigma out 37 active outputs RANK 20 NODE 6 --> 22.5598259 sigma out 37 active outputs RANK 21 NODE 25 --> 22.555624 sigma out 37 active outputs RANK 22 NODE 32 --> 22.4594479 sigma out 37 active outputs RANK 23 NODE 18 --> 22.361742 sigma out 37 active outputs RANK 24 NODE 14 --> 22.1613712 sigma out 37 active outputs RANK 25 NODE 13 --> 22.0114174 sigma out 37 active outputs RANK 26 NODE 10 --> 21.8986053 sigma out 37 active outputs RANK 27 NODE 30 --> 21.5641632 sigma out 37 active outputs RANK 28 NODE 21 --> 20.2061272 sigma out 37 active outputs RANK 29 NODE 3 --> 20.0078812 sigma out 37 active outputs RANK 30 NODE 29 --> 19.344471 sigma out 37 active outputs RANK 31 NODE 22 --> 19.3411922 sigma out 37 active outputs RANK 32 NODE 35 --> 19.1049576 sigma out 37 active outputs RANK 33 NODE 26 --> 17.4716873 sigma out 37 active outputs RANK 34 NODE 2 --> 3.38773918 sigma out 37 active outputs RANK 35 NODE 1 --> 0.716005802 sigma out 37 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 25 --> 25.8478298 sigma in 35act. ( 7.55395794 sig out 1act.) RANK 2 NODE 33 --> 25.7543945 sigma in 35act. ( 2.35235214 sig out 1act.) RANK 3 NODE 7 --> 25.7442532 sigma in 35act. ( 4.54428291 sig out 1act.) RANK 4 NODE 20 --> 25.5298462 sigma in 35act. ( 3.6921525 sig out 1act.) RANK 5 NODE 19 --> 25.1396713 sigma in 35act. ( 6.96816874 sig out 1act.) RANK 6 NODE 17 --> 24.9949818 sigma in 35act. ( 7.32882214 sig out 1act.) RANK 7 NODE 18 --> 24.6934204 sigma in 35act. ( 5.65219831 sig out 1act.) RANK 8 NODE 26 --> 24.2116432 sigma in 35act. ( 8.06985569 sig out 1act.) RANK 9 NODE 10 --> 24.1466236 sigma in 35act. ( 0.0287704729 sig out 1act.) RANK 10 NODE 30 --> 23.9679165 sigma in 35act. ( 8.87796688 sig out 1act.) RANK 11 NODE 8 --> 23.6426182 sigma in 35act. ( 4.64015722 sig out 1act.) RANK 12 NODE 4 --> 23.3423767 sigma in 35act. ( 17.168314 sig out 1act.) RANK 13 NODE 16 --> 23.3351803 sigma in 35act. ( 0.124298416 sig out 1act.) RANK 14 NODE 21 --> 23.1528606 sigma in 35act. ( 10.9034586 sig out 1act.) RANK 15 NODE 2 --> 22.6681843 sigma in 35act. ( 0.987381518 sig out 1act.) RANK 16 NODE 27 --> 22.5268192 sigma in 35act. ( 4.51757574 sig out 1act.) RANK 17 NODE 11 --> 22.4238205 sigma in 35act. ( 6.67844296 sig out 1act.) RANK 18 NODE 22 --> 22.421608 sigma in 35act. ( 2.83149433 sig out 1act.) RANK 19 NODE 9 --> 22.1521435 sigma in 35act. ( 4.92535925 sig out 1act.) RANK 20 NODE 3 --> 22.0764332 sigma in 35act. ( 4.60180473 sig out 1act.) RANK 21 NODE 23 --> 21.9836006 sigma in 35act. ( 16.7632027 sig out 1act.) RANK 22 NODE 32 --> 21.9735661 sigma in 35act. ( 9.6299057 sig out 1act.) RANK 23 NODE 24 --> 21.7988548 sigma in 35act. ( 8.27971554 sig out 1act.) RANK 24 NODE 15 --> 21.6752834 sigma in 35act. ( 8.88110352 sig out 1act.) RANK 25 NODE 28 --> 21.3778744 sigma in 35act. ( 1.98336756 sig out 1act.) RANK 26 NODE 34 --> 21.2509842 sigma in 35act. ( 2.23050666 sig out 1act.) RANK 27 NODE 14 --> 20.8249512 sigma in 35act. ( 0.348300874 sig out 1act.) RANK 28 NODE 6 --> 20.6797333 sigma in 35act. ( 16.765131 sig out 1act.) RANK 29 NODE 13 --> 20.5079784 sigma in 35act. ( 6.473176 sig out 1act.) RANK 30 NODE 31 --> 20.4568577 sigma in 35act. ( 7.31811619 sig out 1act.) RANK 31 NODE 12 --> 20.3391609 sigma in 35act. ( 16.9710217 sig out 1act.) RANK 32 NODE 5 --> 20.0365791 sigma in 35act. ( 11.86765 sig out 1act.) RANK 33 NODE 35 --> 19.9394627 sigma in 35act. ( 15.8780012 sig out 1act.) RANK 34 NODE 36 --> 19.8669071 sigma in 35act. ( 6.50633192 sig out 1act.) RANK 35 NODE 37 --> 19.5208282 sigma in 35act. ( 6.08188343 sig out 1act.) RANK 36 NODE 1 --> 19.2770443 sigma in 35act. ( 4.61936665 sig out 1act.) RANK 37 NODE 29 --> 18.9406624 sigma in 35act. ( 13.3031654 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 17.168314 sigma out 1act.( 23.3423767 sig in 35act.) RANK 2 NODE 12 --> 16.9710217 sigma out 1act.( 20.3391609 sig in 35act.) RANK 3 NODE 6 --> 16.765131 sigma out 1act.( 20.6797333 sig in 35act.) RANK 4 NODE 23 --> 16.7632027 sigma out 1act.( 21.9836006 sig in 35act.) RANK 5 NODE 35 --> 15.8780012 sigma out 1act.( 19.9394627 sig in 35act.) RANK 6 NODE 29 --> 13.3031654 sigma out 1act.( 18.9406624 sig in 35act.) RANK 7 NODE 5 --> 11.86765 sigma out 1act.( 20.0365791 sig in 35act.) RANK 8 NODE 21 --> 10.9034586 sigma out 1act.( 23.1528606 sig in 35act.) RANK 9 NODE 32 --> 9.6299057 sigma out 1act.( 21.9735661 sig in 35act.) RANK 10 NODE 15 --> 8.88110352 sigma out 1act.( 21.6752834 sig in 35act.) RANK 11 NODE 30 --> 8.87796688 sigma out 1act.( 23.9679165 sig in 35act.) RANK 12 NODE 24 --> 8.27971554 sigma out 1act.( 21.7988548 sig in 35act.) RANK 13 NODE 26 --> 8.06985569 sigma out 1act.( 24.2116432 sig in 35act.) RANK 14 NODE 25 --> 7.55395794 sigma out 1act.( 25.8478298 sig in 35act.) RANK 15 NODE 17 --> 7.32882214 sigma out 1act.( 24.9949818 sig in 35act.) RANK 16 NODE 31 --> 7.31811619 sigma out 1act.( 20.4568577 sig in 35act.) RANK 17 NODE 19 --> 6.96816874 sigma out 1act.( 25.1396713 sig in 35act.) RANK 18 NODE 11 --> 6.67844296 sigma out 1act.( 22.4238205 sig in 35act.) RANK 19 NODE 36 --> 6.50633192 sigma out 1act.( 19.8669071 sig in 35act.) RANK 20 NODE 13 --> 6.473176 sigma out 1act.( 20.5079784 sig in 35act.) RANK 21 NODE 37 --> 6.08188343 sigma out 1act.( 19.5208282 sig in 35act.) RANK 22 NODE 18 --> 5.65219831 sigma out 1act.( 24.6934204 sig in 35act.) RANK 23 NODE 9 --> 4.92535925 sigma out 1act.( 22.1521435 sig in 35act.) RANK 24 NODE 8 --> 4.64015722 sigma out 1act.( 23.6426182 sig in 35act.) RANK 25 NODE 1 --> 4.61936665 sigma out 1act.( 19.2770443 sig in 35act.) RANK 26 NODE 3 --> 4.60180473 sigma out 1act.( 22.0764332 sig in 35act.) RANK 27 NODE 7 --> 4.54428291 sigma out 1act.( 25.7442532 sig in 35act.) RANK 28 NODE 27 --> 4.51757574 sigma out 1act.( 22.5268192 sig in 35act.) RANK 29 NODE 20 --> 3.6921525 sigma out 1act.( 25.5298462 sig in 35act.) RANK 30 NODE 22 --> 2.83149433 sigma out 1act.( 22.421608 sig in 35act.) RANK 31 NODE 33 --> 2.35235214 sigma out 1act.( 25.7543945 sig in 35act.) RANK 32 NODE 34 --> 2.23050666 sigma out 1act.( 21.2509842 sig in 35act.) RANK 33 NODE 28 --> 1.98336756 sigma out 1act.( 21.3778744 sig in 35act.) RANK 34 NODE 2 --> 0.987381518 sigma out 1act.( 22.6681843 sig in 35act.) RANK 35 NODE 14 --> 0.348300874 sigma out 1act.( 20.8249512 sig in 35act.) RANK 36 NODE 16 --> 0.124298416 sigma out 1act.( 23.3351803 sig in 35act.) RANK 37 NODE 10 --> 0.0287704729 sigma out 1act.( 24.1466236 sig in 35act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 52.867588 sigma in 37 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 7.8408041 sigma out 37 active outputs RANK 2 NODE 5 --> 6.32874393 sigma out 37 active outputs RANK 3 NODE 6 --> 5.91582346 sigma out 37 active outputs RANK 4 NODE 7 --> 4.89658356 sigma out 37 active outputs RANK 5 NODE 8 --> 4.25665951 sigma out 37 active outputs RANK 6 NODE 9 --> 4.17751312 sigma out 37 active outputs RANK 7 NODE 13 --> 3.85606217 sigma out 37 active outputs RANK 8 NODE 10 --> 3.7816422 sigma out 37 active outputs RANK 9 NODE 3 --> 3.70320725 sigma out 37 active outputs RANK 10 NODE 17 --> 3.48062134 sigma out 37 active outputs RANK 11 NODE 12 --> 3.47543931 sigma out 37 active outputs RANK 12 NODE 11 --> 3.34677005 sigma out 37 active outputs RANK 13 NODE 2 --> 3.33355188 sigma out 37 active outputs RANK 14 NODE 16 --> 3.11323786 sigma out 37 active outputs RANK 15 NODE 1 --> 3.05089378 sigma out 37 active outputs RANK 16 NODE 19 --> 2.84181571 sigma out 37 active outputs RANK 17 NODE 24 --> 2.75548434 sigma out 37 active outputs RANK 18 NODE 15 --> 2.61296964 sigma out 37 active outputs RANK 19 NODE 20 --> 2.29636002 sigma out 37 active outputs RANK 20 NODE 23 --> 2.14543176 sigma out 37 active outputs RANK 21 NODE 14 --> 2.00024939 sigma out 37 active outputs RANK 22 NODE 18 --> 1.98722649 sigma out 37 active outputs RANK 23 NODE 22 --> 1.98288548 sigma out 37 active outputs RANK 24 NODE 27 --> 1.95291746 sigma out 37 active outputs RANK 25 NODE 25 --> 1.91666818 sigma out 37 active outputs RANK 26 NODE 21 --> 1.81527877 sigma out 37 active outputs RANK 27 NODE 28 --> 1.55900109 sigma out 37 active outputs RANK 28 NODE 26 --> 1.34877503 sigma out 37 active outputs RANK 29 NODE 29 --> 1.27905405 sigma out 37 active outputs RANK 30 NODE 31 --> 1.0706166 sigma out 37 active outputs RANK 31 NODE 32 --> 1.03228652 sigma out 37 active outputs RANK 32 NODE 30 --> 1.01427662 sigma out 37 active outputs RANK 33 NODE 34 --> 0.718923926 sigma out 37 active outputs RANK 34 NODE 33 --> 0.713132024 sigma out 37 active outputs RANK 35 NODE 35 --> 0.288197041 sigma out 37 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 4 --> 6.15909719 sigma in 35act. ( 6.32922697 sig out 1act.) RANK 2 NODE 23 --> 6.00640917 sigma in 35act. ( 5.56675005 sig out 1act.) RANK 3 NODE 12 --> 5.03687525 sigma in 35act. ( 4.97582245 sig out 1act.) RANK 4 NODE 35 --> 4.50639629 sigma in 35act. ( 5.00643349 sig out 1act.) RANK 5 NODE 6 --> 4.3367362 sigma in 35act. ( 3.877846 sig out 1act.) RANK 6 NODE 5 --> 4.1728282 sigma in 35act. ( 3.75738263 sig out 1act.) RANK 7 NODE 21 --> 4.09615183 sigma in 35act. ( 3.66911221 sig out 1act.) RANK 8 NODE 15 --> 3.89673471 sigma in 35act. ( 3.34907508 sig out 1act.) RANK 9 NODE 26 --> 3.81785583 sigma in 35act. ( 3.34489655 sig out 1act.) RANK 10 NODE 29 --> 3.78019047 sigma in 35act. ( 3.60609341 sig out 1act.) RANK 11 NODE 32 --> 3.57831693 sigma in 35act. ( 3.25126481 sig out 1act.) RANK 12 NODE 30 --> 3.36528063 sigma in 35act. ( 3.29148245 sig out 1act.) RANK 13 NODE 24 --> 3.26193857 sigma in 35act. ( 2.82816362 sig out 1act.) RANK 14 NODE 17 --> 3.18177557 sigma in 35act. ( 2.71299195 sig out 1act.) RANK 15 NODE 25 --> 3.02318335 sigma in 35act. ( 2.78723145 sig out 1act.) RANK 16 NODE 19 --> 3.0027535 sigma in 35act. ( 2.58215356 sig out 1act.) RANK 17 NODE 11 --> 2.85659647 sigma in 35act. ( 2.57348251 sig out 1act.) RANK 18 NODE 31 --> 2.76855731 sigma in 35act. ( 1.86958742 sig out 1act.) RANK 19 NODE 9 --> 2.53200555 sigma in 35act. ( 1.98287499 sig out 1act.) RANK 20 NODE 18 --> 2.50975466 sigma in 35act. ( 1.95084238 sig out 1act.) RANK 21 NODE 27 --> 2.390275 sigma in 35act. ( 1.7780844 sig out 1act.) RANK 22 NODE 37 --> 2.26626801 sigma in 35act. ( 1.79102826 sig out 1act.) RANK 23 NODE 13 --> 2.23684311 sigma in 35act. ( 1.85095537 sig out 1act.) RANK 24 NODE 7 --> 2.21239996 sigma in 35act. ( 1.48607552 sig out 1act.) RANK 25 NODE 3 --> 2.16337848 sigma in 35act. ( 1.54438603 sig out 1act.) RANK 26 NODE 36 --> 2.05096388 sigma in 35act. ( 1.78858531 sig out 1act.) RANK 27 NODE 33 --> 2.01451874 sigma in 35act. ( 0.907644033 sig out 1act.) RANK 28 NODE 2 --> 1.96654856 sigma in 35act. ( 0.307176769 sig out 1act.) RANK 29 NODE 10 --> 1.80457675 sigma in 35act. ( 0.013679985 sig out 1act.) RANK 30 NODE 8 --> 1.74388194 sigma in 35act. ( 1.27159584 sig out 1act.) RANK 31 NODE 22 --> 1.74377096 sigma in 35act. ( 0.978880823 sig out 1act.) RANK 32 NODE 20 --> 1.6386497 sigma in 35act. ( 1.04773247 sig out 1act.) RANK 33 NODE 1 --> 1.58865714 sigma in 35act. ( 1.26549041 sig out 1act.) RANK 34 NODE 14 --> 1.58586383 sigma in 35act. ( 0.0920003429 sig out 1act.) RANK 35 NODE 28 --> 1.51850426 sigma in 35act. ( 0.67520541 sig out 1act.) RANK 36 NODE 34 --> 1.50423038 sigma in 35act. ( 0.688053429 sig out 1act.) RANK 37 NODE 16 --> 1.49163091 sigma in 35act. ( 0.0214459188 sig out 1act.) sorted by output significance RANK 1 NODE 4 --> 6.32922697 sigma out 1act.( 6.15909719 sig in 35act.) RANK 2 NODE 23 --> 5.56675005 sigma out 1act.( 6.00640917 sig in 35act.) RANK 3 NODE 35 --> 5.00643349 sigma out 1act.( 4.50639629 sig in 35act.) RANK 4 NODE 12 --> 4.97582245 sigma out 1act.( 5.03687525 sig in 35act.) RANK 5 NODE 6 --> 3.877846 sigma out 1act.( 4.3367362 sig in 35act.) RANK 6 NODE 5 --> 3.75738263 sigma out 1act.( 4.1728282 sig in 35act.) RANK 7 NODE 21 --> 3.66911221 sigma out 1act.( 4.09615183 sig in 35act.) RANK 8 NODE 29 --> 3.60609341 sigma out 1act.( 3.78019047 sig in 35act.) RANK 9 NODE 15 --> 3.34907508 sigma out 1act.( 3.89673471 sig in 35act.) RANK 10 NODE 26 --> 3.34489655 sigma out 1act.( 3.81785583 sig in 35act.) RANK 11 NODE 30 --> 3.29148245 sigma out 1act.( 3.36528063 sig in 35act.) RANK 12 NODE 32 --> 3.25126481 sigma out 1act.( 3.57831693 sig in 35act.) RANK 13 NODE 24 --> 2.82816362 sigma out 1act.( 3.26193857 sig in 35act.) RANK 14 NODE 25 --> 2.78723145 sigma out 1act.( 3.02318335 sig in 35act.) RANK 15 NODE 17 --> 2.71299195 sigma out 1act.( 3.18177557 sig in 35act.) RANK 16 NODE 19 --> 2.58215356 sigma out 1act.( 3.0027535 sig in 35act.) RANK 17 NODE 11 --> 2.57348251 sigma out 1act.( 2.85659647 sig in 35act.) RANK 18 NODE 9 --> 1.98287499 sigma out 1act.( 2.53200555 sig in 35act.) RANK 19 NODE 18 --> 1.95084238 sigma out 1act.( 2.50975466 sig in 35act.) RANK 20 NODE 31 --> 1.86958742 sigma out 1act.( 2.76855731 sig in 35act.) RANK 21 NODE 13 --> 1.85095537 sigma out 1act.( 2.23684311 sig in 35act.) RANK 22 NODE 37 --> 1.79102826 sigma out 1act.( 2.26626801 sig in 35act.) RANK 23 NODE 36 --> 1.78858531 sigma out 1act.( 2.05096388 sig in 35act.) RANK 24 NODE 27 --> 1.7780844 sigma out 1act.( 2.390275 sig in 35act.) RANK 25 NODE 3 --> 1.54438603 sigma out 1act.( 2.16337848 sig in 35act.) RANK 26 NODE 7 --> 1.48607552 sigma out 1act.( 2.21239996 sig in 35act.) RANK 27 NODE 8 --> 1.27159584 sigma out 1act.( 1.74388194 sig in 35act.) RANK 28 NODE 1 --> 1.26549041 sigma out 1act.( 1.58865714 sig in 35act.) RANK 29 NODE 20 --> 1.04773247 sigma out 1act.( 1.6386497 sig in 35act.) RANK 30 NODE 22 --> 0.978880823 sigma out 1act.( 1.74377096 sig in 35act.) RANK 31 NODE 33 --> 0.907644033 sigma out 1act.( 2.01451874 sig in 35act.) RANK 32 NODE 34 --> 0.688053429 sigma out 1act.( 1.50423038 sig in 35act.) RANK 33 NODE 28 --> 0.67520541 sigma out 1act.( 1.51850426 sig in 35act.) RANK 34 NODE 2 --> 0.307176769 sigma out 1act.( 1.96654856 sig in 35act.) RANK 35 NODE 14 --> 0.0920003429 sigma out 1act.( 1.58586383 sig in 35act.) RANK 36 NODE 16 --> 0.0214459188 sigma out 1act.( 1.49163091 sig in 35act.) RANK 37 NODE 10 --> 0.013679985 sigma out 1act.( 1.80457675 sig in 35act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 17.1076565 sigma in 37 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.489407569 *** contribution from regularisation: 0.000903100183 *** contribution from error: -0.490310669 *** contribution from DIAG: 0.00302019366 *********************************************** --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.483912796 *** contribution from regularisation: 0.0116576292 *** contribution from error: -0.495570421 *** contribution from DIAG: 0.00268121902 *********************************************** --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.496043563 *** contribution from regularisation: 0.00300743221 *** contribution from error: -0.499051005 *** contribution from DIAG: 0.0031731152 *********************************************** --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.489694595 *** contribution from regularisation: 0.0136824176 *** contribution from error: -0.50337702 *** contribution from DIAG: 0.00325481291 *********************************************** --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.500202358 *** contribution from regularisation: 0.00521902367 *** contribution from error: -0.5054214 *** contribution from DIAG: 0.00311784516 *********************************************** --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.496455967 *** contribution from regularisation: 0.0107172998 *** contribution from error: -0.50717324 *** contribution from DIAG: 0.00324617536 *********************************************** --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.501030564 *** contribution from regularisation: 0.0067029004 *** contribution from error: -0.507733464 *** contribution from DIAG: 0.00337978755 *********************************************** --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.499217689 *** contribution from regularisation: 0.00880662072 *** contribution from error: -0.508024335 *** contribution from DIAG: 0.00325722969 *********************************************** --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.500863314 *** contribution from regularisation: 0.00737909414 *** contribution from error: -0.508242428 *** contribution from DIAG: 0.00352529762 *********************************************** --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 13.0600719 sigma out 37 active outputs RANK 2 NODE 33 --> 11.158349 sigma out 37 active outputs RANK 3 NODE 5 --> 10.7460966 sigma out 37 active outputs RANK 4 NODE 6 --> 9.15271473 sigma out 37 active outputs RANK 5 NODE 31 --> 8.83643723 sigma out 37 active outputs RANK 6 NODE 7 --> 8.21030045 sigma out 37 active outputs RANK 7 NODE 8 --> 7.89887762 sigma out 37 active outputs RANK 8 NODE 9 --> 7.44146252 sigma out 37 active outputs RANK 9 NODE 13 --> 6.7794404 sigma out 37 active outputs RANK 10 NODE 3 --> 6.62414503 sigma out 37 active outputs RANK 11 NODE 25 --> 6.61847639 sigma out 37 active outputs RANK 12 NODE 11 --> 6.54614401 sigma out 37 active outputs RANK 13 NODE 10 --> 6.52841997 sigma out 37 active outputs RANK 14 NODE 12 --> 6.33602571 sigma out 37 active outputs RANK 15 NODE 29 --> 5.94658327 sigma out 37 active outputs RANK 16 NODE 16 --> 5.9231658 sigma out 37 active outputs RANK 17 NODE 28 --> 5.75922203 sigma out 37 active outputs RANK 18 NODE 17 --> 5.63430309 sigma out 37 active outputs RANK 19 NODE 30 --> 5.28899956 sigma out 37 active outputs RANK 20 NODE 1 --> 5.0859046 sigma out 37 active outputs RANK 21 NODE 19 --> 5.03878069 sigma out 37 active outputs RANK 22 NODE 26 --> 4.99716139 sigma out 37 active outputs RANK 23 NODE 24 --> 4.8487215 sigma out 37 active outputs RANK 24 NODE 15 --> 4.76582003 sigma out 37 active outputs RANK 25 NODE 22 --> 4.68676949 sigma out 37 active outputs RANK 26 NODE 23 --> 4.36012888 sigma out 37 active outputs RANK 27 NODE 20 --> 4.14488649 sigma out 37 active outputs RANK 28 NODE 14 --> 3.99675465 sigma out 37 active outputs RANK 29 NODE 27 --> 3.66875744 sigma out 37 active outputs RANK 30 NODE 2 --> 3.64981937 sigma out 37 active outputs RANK 31 NODE 18 --> 3.55207038 sigma out 37 active outputs RANK 32 NODE 21 --> 3.2289896 sigma out 37 active outputs RANK 33 NODE 34 --> 2.67429304 sigma out 37 active outputs RANK 34 NODE 32 --> 2.38826466 sigma out 37 active outputs RANK 35 NODE 35 --> 0.496697277 sigma out 37 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 23 --> 10.7700977 sigma in 35act. ( 7.44881058 sig out 1act.) RANK 2 NODE 12 --> 10.3537865 sigma in 35act. ( 7.9070015 sig out 1act.) RANK 3 NODE 35 --> 10.2286224 sigma in 35act. ( 7.97610474 sig out 1act.) RANK 4 NODE 4 --> 9.77389717 sigma in 35act. ( 7.10994864 sig out 1act.) RANK 5 NODE 6 --> 9.58234215 sigma in 35act. ( 7.15137529 sig out 1act.) RANK 6 NODE 5 --> 8.98076916 sigma in 35act. ( 6.02958155 sig out 1act.) RANK 7 NODE 29 --> 8.75972748 sigma in 35act. ( 6.24354792 sig out 1act.) RANK 8 NODE 21 --> 7.90425587 sigma in 35act. ( 4.77826738 sig out 1act.) RANK 9 NODE 30 --> 6.94888449 sigma in 35act. ( 4.43616533 sig out 1act.) RANK 10 NODE 31 --> 6.62655449 sigma in 35act. ( 4.19114065 sig out 1act.) RANK 11 NODE 15 --> 6.60613251 sigma in 35act. ( 3.99026561 sig out 1act.) RANK 12 NODE 13 --> 6.44657087 sigma in 35act. ( 4.16482973 sig out 1act.) RANK 13 NODE 17 --> 6.42803574 sigma in 35act. ( 3.52306986 sig out 1act.) RANK 14 NODE 19 --> 6.16291571 sigma in 35act. ( 3.4218514 sig out 1act.) RANK 15 NODE 36 --> 6.09901667 sigma in 35act. ( 4.24916792 sig out 1act.) RANK 16 NODE 32 --> 5.92225838 sigma in 35act. ( 3.78373051 sig out 1act.) RANK 17 NODE 7 --> 5.88352919 sigma in 35act. ( 3.40335989 sig out 1act.) RANK 18 NODE 26 --> 5.75969744 sigma in 35act. ( 2.98376131 sig out 1act.) RANK 19 NODE 37 --> 5.55703163 sigma in 35act. ( 3.499295 sig out 1act.) RANK 20 NODE 11 --> 5.20789385 sigma in 35act. ( 2.99640894 sig out 1act.) RANK 21 NODE 25 --> 5.18882084 sigma in 35act. ( 2.61800075 sig out 1act.) RANK 22 NODE 8 --> 5.02900743 sigma in 35act. ( 3.35736513 sig out 1act.) RANK 23 NODE 24 --> 5.02619553 sigma in 35act. ( 2.90014815 sig out 1act.) RANK 24 NODE 9 --> 4.77563429 sigma in 35act. ( 2.32919049 sig out 1act.) RANK 25 NODE 1 --> 4.69004202 sigma in 35act. ( 2.82077622 sig out 1act.) RANK 26 NODE 27 --> 4.44257069 sigma in 35act. ( 1.98824346 sig out 1act.) RANK 27 NODE 18 --> 4.33677864 sigma in 35act. ( 1.96508408 sig out 1act.) RANK 28 NODE 3 --> 4.13241243 sigma in 35act. ( 1.96171761 sig out 1act.) RANK 29 NODE 20 --> 3.4535563 sigma in 35act. ( 1.97981918 sig out 1act.) RANK 30 NODE 33 --> 3.29959989 sigma in 35act. ( 1.10921979 sig out 1act.) RANK 31 NODE 22 --> 3.25451446 sigma in 35act. ( 1.33549666 sig out 1act.) RANK 32 NODE 28 --> 2.88268352 sigma in 35act. ( 1.37331498 sig out 1act.) RANK 33 NODE 10 --> 2.78348255 sigma in 35act. ( 0.0575572215 sig out 1act.) RANK 34 NODE 2 --> 2.61860561 sigma in 35act. ( 0.590411603 sig out 1act.) RANK 35 NODE 34 --> 2.58075881 sigma in 35act. ( 1.10916221 sig out 1act.) RANK 36 NODE 16 --> 2.26453733 sigma in 35act. ( 0.266147047 sig out 1act.) RANK 37 NODE 14 --> 1.96942544 sigma in 35act. ( 0.307400465 sig out 1act.) sorted by output significance RANK 1 NODE 35 --> 7.97610474 sigma out 1act.( 10.2286224 sig in 35act.) RANK 2 NODE 12 --> 7.9070015 sigma out 1act.( 10.3537865 sig in 35act.) RANK 3 NODE 23 --> 7.44881058 sigma out 1act.( 10.7700977 sig in 35act.) RANK 4 NODE 6 --> 7.15137529 sigma out 1act.( 9.58234215 sig in 35act.) RANK 5 NODE 4 --> 7.10994864 sigma out 1act.( 9.77389717 sig in 35act.) RANK 6 NODE 29 --> 6.24354792 sigma out 1act.( 8.75972748 sig in 35act.) RANK 7 NODE 5 --> 6.02958155 sigma out 1act.( 8.98076916 sig in 35act.) RANK 8 NODE 21 --> 4.77826738 sigma out 1act.( 7.90425587 sig in 35act.) RANK 9 NODE 30 --> 4.43616533 sigma out 1act.( 6.94888449 sig in 35act.) RANK 10 NODE 36 --> 4.24916792 sigma out 1act.( 6.09901667 sig in 35act.) RANK 11 NODE 31 --> 4.19114065 sigma out 1act.( 6.62655449 sig in 35act.) RANK 12 NODE 13 --> 4.16482973 sigma out 1act.( 6.44657087 sig in 35act.) RANK 13 NODE 15 --> 3.99026561 sigma out 1act.( 6.60613251 sig in 35act.) RANK 14 NODE 32 --> 3.78373051 sigma out 1act.( 5.92225838 sig in 35act.) RANK 15 NODE 17 --> 3.52306986 sigma out 1act.( 6.42803574 sig in 35act.) RANK 16 NODE 37 --> 3.499295 sigma out 1act.( 5.55703163 sig in 35act.) RANK 17 NODE 19 --> 3.4218514 sigma out 1act.( 6.16291571 sig in 35act.) RANK 18 NODE 7 --> 3.40335989 sigma out 1act.( 5.88352919 sig in 35act.) RANK 19 NODE 8 --> 3.35736513 sigma out 1act.( 5.02900743 sig in 35act.) RANK 20 NODE 11 --> 2.99640894 sigma out 1act.( 5.20789385 sig in 35act.) RANK 21 NODE 26 --> 2.98376131 sigma out 1act.( 5.75969744 sig in 35act.) RANK 22 NODE 24 --> 2.90014815 sigma out 1act.( 5.02619553 sig in 35act.) RANK 23 NODE 1 --> 2.82077622 sigma out 1act.( 4.69004202 sig in 35act.) RANK 24 NODE 25 --> 2.61800075 sigma out 1act.( 5.18882084 sig in 35act.) RANK 25 NODE 9 --> 2.32919049 sigma out 1act.( 4.77563429 sig in 35act.) RANK 26 NODE 27 --> 1.98824346 sigma out 1act.( 4.44257069 sig in 35act.) RANK 27 NODE 20 --> 1.97981918 sigma out 1act.( 3.4535563 sig in 35act.) RANK 28 NODE 18 --> 1.96508408 sigma out 1act.( 4.33677864 sig in 35act.) RANK 29 NODE 3 --> 1.96171761 sigma out 1act.( 4.13241243 sig in 35act.) RANK 30 NODE 28 --> 1.37331498 sigma out 1act.( 2.88268352 sig in 35act.) RANK 31 NODE 22 --> 1.33549666 sigma out 1act.( 3.25451446 sig in 35act.) RANK 32 NODE 33 --> 1.10921979 sigma out 1act.( 3.29959989 sig in 35act.) RANK 33 NODE 34 --> 1.10916221 sigma out 1act.( 2.58075881 sig in 35act.) RANK 34 NODE 2 --> 0.590411603 sigma out 1act.( 2.61860561 sig in 35act.) RANK 35 NODE 14 --> 0.307400465 sigma out 1act.( 1.96942544 sig in 35act.) RANK 36 NODE 16 --> 0.266147047 sigma out 1act.( 2.26453733 sig in 35act.) RANK 37 NODE 10 --> 0.0575572215 sigma out 1act.( 2.78348255 sig in 35act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 24.7457256 sigma in 37 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.500078917 *** contribution from regularisation: 0.00833521038 *** contribution from error: -0.508414149 *** contribution from DIAG: 0.0034943358 *********************************************** --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.500967324 *** contribution from regularisation: 0.00764525263 *** contribution from error: -0.508612573 *** contribution from DIAG: 0.00344738993 *********************************************** --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.500769317 *** contribution from regularisation: 0.00799451955 *** contribution from error: -0.50876385 *** contribution from DIAG: 0.0035637184 *********************************************** --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.501257002 *** contribution from regularisation: 0.00756966788 *** contribution from error: -0.508826673 *** contribution from DIAG: 0.00340962876 *********************************************** --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.501359582 *** contribution from regularisation: 0.00754890125 *** contribution from error: -0.50890851 *** contribution from DIAG: 0.00352832233 *********************************************** --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.501516998 *** contribution from regularisation: 0.00747798756 *** contribution from error: -0.508994997 *** contribution from DIAG: 0.00326378923 *********************************************** --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.501720309 *** contribution from regularisation: 0.00729940971 *** contribution from error: -0.509019732 *** contribution from DIAG: 0.00345785753 *********************************************** --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.501819372 *** contribution from regularisation: 0.00709579792 *** contribution from error: -0.508915186 *** contribution from DIAG: 0.00322119053 *********************************************** --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.501861691 *** contribution from regularisation: 0.00696557201 *** contribution from error: -0.508827269 *** contribution from DIAG: 0.00362244342 *********************************************** --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.502491295 *** contribution from regularisation: 0.00628253119 *** contribution from error: -0.508773804 *** contribution from DIAG: 0.00322969235 *********************************************** --------------------------------------------------- Iteration : 20 kill weight from layer 1 knot 13 to knot 32 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 14.0016212 sigma out 37 active outputs RANK 2 NODE 33 --> 11.6808186 sigma out 37 active outputs RANK 3 NODE 5 --> 9.62125206 sigma out 37 active outputs RANK 4 NODE 1 --> 8.56313419 sigma out 37 active outputs RANK 5 NODE 25 --> 8.52075672 sigma out 37 active outputs RANK 6 NODE 31 --> 7.80834866 sigma out 37 active outputs RANK 7 NODE 6 --> 7.79231119 sigma out 37 active outputs RANK 8 NODE 7 --> 6.14222431 sigma out 37 active outputs RANK 9 NODE 8 --> 6.05894804 sigma out 37 active outputs RANK 10 NODE 11 --> 6.05327082 sigma out 37 active outputs RANK 11 NODE 28 --> 5.91455793 sigma out 37 active outputs RANK 12 NODE 9 --> 5.42868757 sigma out 37 active outputs RANK 13 NODE 29 --> 5.27767754 sigma out 37 active outputs RANK 14 NODE 22 --> 5.21251488 sigma out 37 active outputs RANK 15 NODE 10 --> 5.13616943 sigma out 37 active outputs RANK 16 NODE 26 --> 4.99350071 sigma out 37 active outputs RANK 17 NODE 12 --> 4.79356384 sigma out 37 active outputs RANK 18 NODE 13 --> 4.59720898 sigma out 36 active outputs RANK 19 NODE 3 --> 4.16422653 sigma out 37 active outputs RANK 20 NODE 23 --> 4.13356733 sigma out 37 active outputs RANK 21 NODE 17 --> 3.94069839 sigma out 37 active outputs RANK 22 NODE 27 --> 3.58775353 sigma out 37 active outputs RANK 23 NODE 16 --> 3.55812287 sigma out 37 active outputs RANK 24 NODE 24 --> 3.36562395 sigma out 37 active outputs RANK 25 NODE 30 --> 3.15837383 sigma out 37 active outputs RANK 26 NODE 19 --> 3.15009475 sigma out 37 active outputs RANK 27 NODE 15 --> 2.97998881 sigma out 37 active outputs RANK 28 NODE 34 --> 2.89022803 sigma out 37 active outputs RANK 29 NODE 32 --> 2.86815596 sigma out 37 active outputs RANK 30 NODE 2 --> 2.77370334 sigma out 37 active outputs RANK 31 NODE 20 --> 2.58662772 sigma out 37 active outputs RANK 32 NODE 14 --> 2.13123584 sigma out 37 active outputs RANK 33 NODE 21 --> 1.98131692 sigma out 37 active outputs RANK 34 NODE 18 --> 1.71424997 sigma out 37 active outputs RANK 35 NODE 35 --> 0.3525787 sigma out 37 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 12 --> 11.1956558 sigma in 35act. ( 7.68916607 sig out 1act.) RANK 2 NODE 35 --> 10.1757393 sigma in 35act. ( 6.95641518 sig out 1act.) RANK 3 NODE 23 --> 10.1281443 sigma in 35act. ( 6.5399828 sig out 1act.) RANK 4 NODE 6 --> 9.91904926 sigma in 35act. ( 6.75741148 sig out 1act.) RANK 5 NODE 29 --> 8.57479858 sigma in 35act. ( 6.05953979 sig out 1act.) RANK 6 NODE 4 --> 8.43033791 sigma in 35act. ( 5.72378492 sig out 1act.) RANK 7 NODE 5 --> 8.20462704 sigma in 35act. ( 5.24356794 sig out 1act.) RANK 8 NODE 21 --> 7.17429972 sigma in 35act. ( 4.18555832 sig out 1act.) RANK 9 NODE 13 --> 6.95914888 sigma in 35act. ( 4.60009193 sig out 1act.) RANK 10 NODE 31 --> 6.63554907 sigma in 35act. ( 4.27866602 sig out 1act.) RANK 11 NODE 36 --> 6.43724346 sigma in 35act. ( 4.38021851 sig out 1act.) RANK 12 NODE 7 --> 6.12096024 sigma in 35act. ( 3.88422298 sig out 1act.) RANK 13 NODE 37 --> 5.43218613 sigma in 35act. ( 3.42170978 sig out 1act.) RANK 14 NODE 8 --> 5.39592314 sigma in 35act. ( 3.6766386 sig out 1act.) RANK 15 NODE 17 --> 5.32334757 sigma in 35act. ( 3.04820204 sig out 1act.) RANK 16 NODE 30 --> 5.17662668 sigma in 35act. ( 3.11980152 sig out 1act.) RANK 17 NODE 19 --> 5.08646154 sigma in 35act. ( 2.90700388 sig out 1act.) RANK 18 NODE 32 --> 4.60297155 sigma in 34act. ( 2.77851534 sig out 1act.) RANK 19 NODE 1 --> 4.43957901 sigma in 35act. ( 2.55618119 sig out 1act.) RANK 20 NODE 11 --> 4.28794575 sigma in 35act. ( 2.53304815 sig out 1act.) RANK 21 NODE 15 --> 4.00370026 sigma in 35act. ( 2.18073463 sig out 1act.) RANK 22 NODE 26 --> 3.42134976 sigma in 35act. ( 1.70387614 sig out 1act.) RANK 23 NODE 25 --> 3.26848078 sigma in 35act. ( 1.78045321 sig out 1act.) RANK 24 NODE 20 --> 3.14473534 sigma in 35act. ( 2.21418929 sig out 1act.) RANK 25 NODE 9 --> 2.99940062 sigma in 35act. ( 1.6149441 sig out 1act.) RANK 26 NODE 24 --> 2.99516821 sigma in 35act. ( 1.72867882 sig out 1act.) RANK 27 NODE 27 --> 2.88183308 sigma in 35act. ( 1.4800787 sig out 1act.) RANK 28 NODE 3 --> 2.82293367 sigma in 35act. ( 1.66412103 sig out 1act.) RANK 29 NODE 18 --> 2.72057366 sigma in 35act. ( 1.435938 sig out 1act.) RANK 30 NODE 28 --> 2.22205138 sigma in 35act. ( 1.41178632 sig out 1act.) RANK 31 NODE 22 --> 2.21494341 sigma in 35act. ( 1.30620098 sig out 1act.) RANK 32 NODE 34 --> 1.87847638 sigma in 35act. ( 1.16655588 sig out 1act.) RANK 33 NODE 33 --> 1.8358748 sigma in 35act. ( 0.853599429 sig out 1act.) RANK 34 NODE 2 --> 1.52482438 sigma in 35act. ( 0.734472811 sig out 1act.) RANK 35 NODE 14 --> 1.19586015 sigma in 35act. ( 0.605636299 sig out 1act.) RANK 36 NODE 10 --> 1.19281387 sigma in 35act. ( 0.16325371 sig out 1act.) RANK 37 NODE 16 --> 1.16587639 sigma in 35act. ( 0.464733809 sig out 1act.) sorted by output significance RANK 1 NODE 12 --> 7.68916607 sigma out 1act.( 11.1956558 sig in 35act.) RANK 2 NODE 35 --> 6.95641518 sigma out 1act.( 10.1757393 sig in 35act.) RANK 3 NODE 6 --> 6.75741148 sigma out 1act.( 9.91904926 sig in 35act.) RANK 4 NODE 23 --> 6.5399828 sigma out 1act.( 10.1281443 sig in 35act.) RANK 5 NODE 29 --> 6.05953979 sigma out 1act.( 8.57479858 sig in 35act.) RANK 6 NODE 4 --> 5.72378492 sigma out 1act.( 8.43033791 sig in 35act.) RANK 7 NODE 5 --> 5.24356794 sigma out 1act.( 8.20462704 sig in 35act.) RANK 8 NODE 13 --> 4.60009193 sigma out 1act.( 6.95914888 sig in 35act.) RANK 9 NODE 36 --> 4.38021851 sigma out 1act.( 6.43724346 sig in 35act.) RANK 10 NODE 31 --> 4.27866602 sigma out 1act.( 6.63554907 sig in 35act.) RANK 11 NODE 21 --> 4.18555832 sigma out 1act.( 7.17429972 sig in 35act.) RANK 12 NODE 7 --> 3.88422298 sigma out 1act.( 6.12096024 sig in 35act.) RANK 13 NODE 8 --> 3.6766386 sigma out 1act.( 5.39592314 sig in 35act.) RANK 14 NODE 37 --> 3.42170978 sigma out 1act.( 5.43218613 sig in 35act.) RANK 15 NODE 30 --> 3.11980152 sigma out 1act.( 5.17662668 sig in 35act.) RANK 16 NODE 17 --> 3.04820204 sigma out 1act.( 5.32334757 sig in 35act.) RANK 17 NODE 19 --> 2.90700388 sigma out 1act.( 5.08646154 sig in 35act.) RANK 18 NODE 32 --> 2.77851534 sigma out 1act.( 4.60297155 sig in 34act.) RANK 19 NODE 1 --> 2.55618119 sigma out 1act.( 4.43957901 sig in 35act.) RANK 20 NODE 11 --> 2.53304815 sigma out 1act.( 4.28794575 sig in 35act.) RANK 21 NODE 20 --> 2.21418929 sigma out 1act.( 3.14473534 sig in 35act.) RANK 22 NODE 15 --> 2.18073463 sigma out 1act.( 4.00370026 sig in 35act.) RANK 23 NODE 25 --> 1.78045321 sigma out 1act.( 3.26848078 sig in 35act.) RANK 24 NODE 24 --> 1.72867882 sigma out 1act.( 2.99516821 sig in 35act.) RANK 25 NODE 26 --> 1.70387614 sigma out 1act.( 3.42134976 sig in 35act.) RANK 26 NODE 3 --> 1.66412103 sigma out 1act.( 2.82293367 sig in 35act.) RANK 27 NODE 9 --> 1.6149441 sigma out 1act.( 2.99940062 sig in 35act.) RANK 28 NODE 27 --> 1.4800787 sigma out 1act.( 2.88183308 sig in 35act.) RANK 29 NODE 18 --> 1.435938 sigma out 1act.( 2.72057366 sig in 35act.) RANK 30 NODE 28 --> 1.41178632 sigma out 1act.( 2.22205138 sig in 35act.) RANK 31 NODE 22 --> 1.30620098 sigma out 1act.( 2.21494341 sig in 35act.) RANK 32 NODE 34 --> 1.16655588 sigma out 1act.( 1.87847638 sig in 35act.) RANK 33 NODE 33 --> 0.853599429 sigma out 1act.( 1.8358748 sig in 35act.) RANK 34 NODE 2 --> 0.734472811 sigma out 1act.( 1.52482438 sig in 35act.) RANK 35 NODE 14 --> 0.605636299 sigma out 1act.( 1.19586015 sig in 35act.) RANK 36 NODE 16 --> 0.464733809 sigma out 1act.( 1.16587639 sig in 35act.) RANK 37 NODE 10 --> 0.16325371 sigma out 1act.( 1.19281387 sig in 35act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 22.2000675 sigma in 37 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.502499282 *** contribution from regularisation: 0.00648486009 *** contribution from error: -0.508984149 *** contribution from DIAG: 0.00363523886 *********************************************** --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.502863288 *** contribution from regularisation: 0.00601989869 *** contribution from error: -0.508883178 *** contribution from DIAG: 0.00301630469 *********************************************** --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.50262326 *** contribution from regularisation: 0.00570309302 *** contribution from error: -0.508326352 *** contribution from DIAG: 0.0039652097 *********************************************** --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.50329417 *** contribution from regularisation: 0.0054326267 *** contribution from error: -0.508726776 *** contribution from DIAG: 0.00301172026 *********************************************** --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.503689885 *** contribution from regularisation: 0.00516959326 *** contribution from error: -0.508859456 *** contribution from DIAG: 0.00375693222 *********************************************** --------------------------------------------------- Iteration : 25 *********************************************** *** Learn Path 25 *** loss function: -0.503510714 *** contribution from regularisation: 0.00524255075 *** contribution from error: -0.50875324 *** contribution from DIAG: 0.00303159375 *********************************************** --------------------------------------------------- Iteration : 26 kill weight from layer 1 knot 14 to knot 10 *********************************************** *** Learn Path 26 *** loss function: -0.503535688 *** contribution from regularisation: 0.00519248098 *** contribution from error: -0.508728147 *** contribution from DIAG: 0.00395834167 *********************************************** --------------------------------------------------- Iteration : 27 *********************************************** *** Learn Path 27 *** loss function: -0.50377506 *** contribution from regularisation: 0.00499496469 *** contribution from error: -0.508770049 *** contribution from DIAG: 0.00315015134 *********************************************** --------------------------------------------------- Iteration : 28 *********************************************** *** Learn Path 28 *** loss function: -0.503552675 *** contribution from regularisation: 0.00487813028 *** contribution from error: -0.508430779 *** contribution from DIAG: 0.0040931995 *********************************************** --------------------------------------------------- Iteration : 29 *********************************************** *** Learn Path 29 *** loss function: -0.50390774 *** contribution from regularisation: 0.00471873907 *** contribution from error: -0.508626461 *** contribution from DIAG: 0.00301394193 *********************************************** --------------------------------------------------- Iteration : 30 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 4 --> 12.5774441 sigma out 37 active outputs RANK 2 NODE 33 --> 11.8497543 sigma out 37 active outputs RANK 3 NODE 31 --> 8.0239315 sigma out 37 active outputs RANK 4 NODE 5 --> 7.22013187 sigma out 37 active outputs RANK 5 NODE 1 --> 7.17564535 sigma out 37 active outputs RANK 6 NODE 25 --> 6.8442297 sigma out 37 active outputs RANK 7 NODE 28 --> 5.46915007 sigma out 37 active outputs RANK 8 NODE 10 --> 5.4518981 sigma out 37 active outputs RANK 9 NODE 8 --> 5.34825277 sigma out 37 active outputs RANK 10 NODE 29 --> 5.32387257 sigma out 37 active outputs RANK 11 NODE 6 --> 5.08251095 sigma out 37 active outputs RANK 12 NODE 11 --> 5.06472969 sigma out 37 active outputs RANK 13 NODE 26 --> 4.19433737 sigma out 37 active outputs RANK 14 NODE 22 --> 4.08161831 sigma out 37 active outputs RANK 15 NODE 12 --> 3.66131425 sigma out 37 active outputs RANK 16 NODE 30 --> 3.39502144 sigma out 37 active outputs RANK 17 NODE 23 --> 3.31958771 sigma out 37 active outputs RANK 18 NODE 27 --> 2.97846675 sigma out 37 active outputs RANK 19 NODE 7 --> 2.77833295 sigma out 37 active outputs RANK 20 NODE 32 --> 2.73512936 sigma out 37 active outputs RANK 21 NODE 34 --> 2.61903334 sigma out 37 active outputs RANK 22 NODE 9 --> 2.47505569 sigma out 37 active outputs RANK 23 NODE 24 --> 2.25277638 sigma out 37 active outputs RANK 24 NODE 15 --> 2.25237608 sigma out 37 active outputs RANK 25 NODE 13 --> 1.97736573 sigma out 36 active outputs RANK 26 NODE 2 --> 1.92001557 sigma out 37 active outputs RANK 27 NODE 17 --> 1.6282444 sigma out 37 active outputs RANK 28 NODE 20 --> 1.52056932 sigma out 37 active outputs RANK 29 NODE 19 --> 1.51777673 sigma out 37 active outputs RANK 30 NODE 3 --> 1.08750522 sigma out 37 active outputs RANK 31 NODE 21 --> 0.876419902 sigma out 37 active outputs RANK 32 NODE 16 --> 0.818256915 sigma out 37 active outputs RANK 33 NODE 14 --> 0.657524168 sigma out 36 active outputs RANK 34 NODE 18 --> 0.396841258 sigma out 37 active outputs RANK 35 NODE 35 --> 0.144682676 sigma out 37 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 9.55970192 sigma in 35act. ( 6.09946728 sig out 1act.) RANK 2 NODE 12 --> 9.15955925 sigma in 35act. ( 5.60230923 sig out 1act.) RANK 3 NODE 35 --> 8.52156162 sigma in 35act. ( 5.19482183 sig out 1act.) RANK 4 NODE 23 --> 7.2396493 sigma in 35act. ( 4.2820797 sig out 1act.) RANK 5 NODE 29 --> 7.16948366 sigma in 35act. ( 4.64745569 sig out 1act.) RANK 6 NODE 36 --> 6.81275702 sigma in 35act. ( 4.20412064 sig out 1act.) RANK 7 NODE 31 --> 6.61052036 sigma in 35act. ( 3.99424839 sig out 1act.) RANK 8 NODE 7 --> 6.44744539 sigma in 35act. ( 3.82656527 sig out 1act.) RANK 9 NODE 13 --> 6.27166939 sigma in 35act. ( 3.70028281 sig out 1act.) RANK 10 NODE 8 --> 5.8960371 sigma in 35act. ( 3.60836124 sig out 1act.) RANK 11 NODE 21 --> 5.76496649 sigma in 35act. ( 3.27139306 sig out 1act.) RANK 12 NODE 4 --> 5.4943161 sigma in 35act. ( 3.14538407 sig out 1act.) RANK 13 NODE 5 --> 5.46183586 sigma in 35act. ( 3.09764814 sig out 1act.) RANK 14 NODE 37 --> 4.7552433 sigma in 35act. ( 2.67828989 sig out 1act.) RANK 15 NODE 19 --> 4.36377907 sigma in 35act. ( 2.37836528 sig out 1act.) RANK 16 NODE 17 --> 4.03534651 sigma in 35act. ( 2.13119793 sig out 1act.) RANK 17 NODE 30 --> 3.6293304 sigma in 35act. ( 1.99299097 sig out 1act.) RANK 18 NODE 11 --> 3.35673857 sigma in 35act. ( 1.70561218 sig out 1act.) RANK 19 NODE 20 --> 3.34310818 sigma in 35act. ( 1.91567004 sig out 1act.) RANK 20 NODE 1 --> 3.21598411 sigma in 35act. ( 1.55265689 sig out 1act.) RANK 21 NODE 32 --> 3.03760457 sigma in 34act. ( 1.53634143 sig out 1act.) RANK 22 NODE 3 --> 2.46963167 sigma in 35act. ( 1.33083522 sig out 1act.) RANK 23 NODE 28 --> 2.37273431 sigma in 35act. ( 1.25933862 sig out 1act.) RANK 24 NODE 25 --> 2.25095963 sigma in 35act. ( 1.17602229 sig out 1act.) RANK 25 NODE 9 --> 2.11210752 sigma in 35act. ( 1.11053646 sig out 1act.) RANK 26 NODE 18 --> 1.98309433 sigma in 35act. ( 1.0239743 sig out 1act.) RANK 27 NODE 27 --> 1.98217976 sigma in 35act. ( 0.965615451 sig out 1act.) RANK 28 NODE 22 --> 1.97044039 sigma in 35act. ( 1.02035904 sig out 1act.) RANK 29 NODE 15 --> 1.960549 sigma in 35act. ( 1.03373468 sig out 1act.) RANK 30 NODE 34 --> 1.95217919 sigma in 35act. ( 0.990522087 sig out 1act.) RANK 31 NODE 24 --> 1.91933894 sigma in 35act. ( 1.00245214 sig out 1act.) RANK 32 NODE 26 --> 1.79726899 sigma in 35act. ( 0.901442289 sig out 1act.) RANK 33 NODE 33 --> 1.40645695 sigma in 35act. ( 0.696755826 sig out 1act.) RANK 34 NODE 2 --> 1.30839825 sigma in 35act. ( 0.634132326 sig out 1act.) RANK 35 NODE 14 --> 1.12939584 sigma in 35act. ( 0.547712326 sig out 1act.) RANK 36 NODE 16 --> 0.742706954 sigma in 35act. ( 0.346981347 sig out 1act.) RANK 37 NODE 10 --> 0.249875963 sigma in 34act. ( 0.08527603 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 6.09946728 sigma out 1act.( 9.55970192 sig in 35act.) RANK 2 NODE 12 --> 5.60230923 sigma out 1act.( 9.15955925 sig in 35act.) RANK 3 NODE 35 --> 5.19482183 sigma out 1act.( 8.52156162 sig in 35act.) RANK 4 NODE 29 --> 4.64745569 sigma out 1act.( 7.16948366 sig in 35act.) RANK 5 NODE 23 --> 4.2820797 sigma out 1act.( 7.2396493 sig in 35act.) RANK 6 NODE 36 --> 4.20412064 sigma out 1act.( 6.81275702 sig in 35act.) RANK 7 NODE 31 --> 3.99424839 sigma out 1act.( 6.61052036 sig in 35act.) RANK 8 NODE 7 --> 3.82656527 sigma out 1act.( 6.44744539 sig in 35act.) RANK 9 NODE 13 --> 3.70028281 sigma out 1act.( 6.27166939 sig in 35act.) RANK 10 NODE 8 --> 3.60836124 sigma out 1act.( 5.8960371 sig in 35act.) RANK 11 NODE 21 --> 3.27139306 sigma out 1act.( 5.76496649 sig in 35act.) RANK 12 NODE 4 --> 3.14538407 sigma out 1act.( 5.4943161 sig in 35act.) RANK 13 NODE 5 --> 3.09764814 sigma out 1act.( 5.46183586 sig in 35act.) RANK 14 NODE 37 --> 2.67828989 sigma out 1act.( 4.7552433 sig in 35act.) RANK 15 NODE 19 --> 2.37836528 sigma out 1act.( 4.36377907 sig in 35act.) RANK 16 NODE 17 --> 2.13119793 sigma out 1act.( 4.03534651 sig in 35act.) RANK 17 NODE 30 --> 1.99299097 sigma out 1act.( 3.6293304 sig in 35act.) RANK 18 NODE 20 --> 1.91567004 sigma out 1act.( 3.34310818 sig in 35act.) RANK 19 NODE 11 --> 1.70561218 sigma out 1act.( 3.35673857 sig in 35act.) RANK 20 NODE 1 --> 1.55265689 sigma out 1act.( 3.21598411 sig in 35act.) RANK 21 NODE 32 --> 1.53634143 sigma out 1act.( 3.03760457 sig in 34act.) RANK 22 NODE 3 --> 1.33083522 sigma out 1act.( 2.46963167 sig in 35act.) RANK 23 NODE 28 --> 1.25933862 sigma out 1act.( 2.37273431 sig in 35act.) RANK 24 NODE 25 --> 1.17602229 sigma out 1act.( 2.25095963 sig in 35act.) RANK 25 NODE 9 --> 1.11053646 sigma out 1act.( 2.11210752 sig in 35act.) RANK 26 NODE 15 --> 1.03373468 sigma out 1act.( 1.960549 sig in 35act.) RANK 27 NODE 18 --> 1.0239743 sigma out 1act.( 1.98309433 sig in 35act.) RANK 28 NODE 22 --> 1.02035904 sigma out 1act.( 1.97044039 sig in 35act.) RANK 29 NODE 24 --> 1.00245214 sigma out 1act.( 1.91933894 sig in 35act.) RANK 30 NODE 34 --> 0.990522087 sigma out 1act.( 1.95217919 sig in 35act.) RANK 31 NODE 27 --> 0.965615451 sigma out 1act.( 1.98217976 sig in 35act.) RANK 32 NODE 26 --> 0.901442289 sigma out 1act.( 1.79726899 sig in 35act.) RANK 33 NODE 33 --> 0.696755826 sigma out 1act.( 1.40645695 sig in 35act.) RANK 34 NODE 2 --> 0.634132326 sigma out 1act.( 1.30839825 sig in 35act.) RANK 35 NODE 14 --> 0.547712326 sigma out 1act.( 1.12939584 sig in 35act.) RANK 36 NODE 16 --> 0.346981347 sigma out 1act.( 0.742706954 sig in 35act.) RANK 37 NODE 10 --> 0.08527603 sigma out 1act.( 0.249875963 sig in 34act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 16.9575024 sigma in 37 active inputs *********************************************** *** Learn Path 30 *** loss function: -0.50383532 *** contribution from regularisation: 0.00474861963 *** contribution from error: -0.508583963 *** contribution from DIAG: 0.00387549563 *********************************************** --------------------------------------------------- Iteration : 31 *********************************************** *** Learn Path 31 *** loss function: -0.503867388 *** contribution from regularisation: 0.00468721287 *** contribution from error: -0.508554578 *** contribution from DIAG: 0.00302679371 *********************************************** --------------------------------------------------- Iteration : 32 *********************************************** *** Learn Path 32 *** loss function: -0.503837883 *** contribution from regularisation: 0.00480782799 *** contribution from error: -0.508645713 *** contribution from DIAG: 0.00372073683 *********************************************** --------------------------------------------------- Iteration : 33 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 14 to knot 2 *********************************************** *** Learn Path 33 *** loss function: -0.50420332 *** contribution from regularisation: 0.00454738503 *** contribution from error: -0.508750677 *** contribution from DIAG: 0.00318833254 *********************************************** --------------------------------------------------- Iteration : 34 *********************************************** *** Learn Path 34 *** loss function: -0.504336238 *** contribution from regularisation: 0.00442034286 *** contribution from error: -0.508756578 *** contribution from DIAG: 0.00361278513 *********************************************** --------------------------------------------------- Iteration : 35 *********************************************** *** Learn Path 35 *** loss function: -0.504225373 *** contribution from regularisation: 0.00425606128 *** contribution from error: -0.508481443 *** contribution from DIAG: 0.00298834895 *********************************************** --------------------------------------------------- Iteration : 36 WARNING in NB_TEACHER: limited eta to preset max. value *********************************************** *** Learn Path 36 *** loss function: -0.50386852 *** contribution from regularisation: 0.00466502644 *** contribution from error: -0.508533537 *** contribution from DIAG: 0.00406988803 *********************************************** --------------------------------------------------- Iteration : 37 *********************************************** *** Learn Path 37 *** loss function: -0.504222929 *** contribution from regularisation: 0.0043487167 *** contribution from error: -0.508571625 *** contribution from DIAG: 0.00319220172 *********************************************** --------------------------------------------------- Iteration : 38 kill weight from layer 1 knot 3 to knot 13 kill weight from layer 1 knot 3 to knot 36 *********************************************** *** Learn Path 38 *** loss function: -0.504008114 *** contribution from regularisation: 0.00472390885 *** contribution from error: -0.508732021 *** contribution from DIAG: 0.00371984951 *********************************************** --------------------------------------------------- Iteration : 39 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 18 to knot 10 kill weight from layer 1 knot 35 to knot 10 *********************************************** *** Learn Path 39 *** loss function: -0.50461185 *** contribution from regularisation: 0.00404377142 *** contribution from error: -0.508655608 *** contribution from DIAG: 0.00315732649 *********************************************** --------------------------------------------------- Iteration : 40 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 33 --> 11.9187326 sigma out 37 active outputs RANK 2 NODE 4 --> 10.9565201 sigma out 37 active outputs RANK 3 NODE 31 --> 7.78713179 sigma out 37 active outputs RANK 4 NODE 25 --> 7.36474228 sigma out 37 active outputs RANK 5 NODE 1 --> 7.01331949 sigma out 37 active outputs RANK 6 NODE 5 --> 6.1603651 sigma out 37 active outputs RANK 7 NODE 11 --> 5.94141817 sigma out 37 active outputs RANK 8 NODE 29 --> 5.66202021 sigma out 37 active outputs RANK 9 NODE 28 --> 5.32116842 sigma out 37 active outputs RANK 10 NODE 22 --> 4.6755209 sigma out 37 active outputs RANK 11 NODE 26 --> 4.65311813 sigma out 37 active outputs RANK 12 NODE 6 --> 4.50720501 sigma out 37 active outputs RANK 13 NODE 8 --> 4.2323184 sigma out 37 active outputs RANK 14 NODE 10 --> 4.04312754 sigma out 37 active outputs RANK 15 NODE 30 --> 3.43709087 sigma out 37 active outputs RANK 16 NODE 23 --> 3.30278134 sigma out 37 active outputs RANK 17 NODE 27 --> 3.02027631 sigma out 37 active outputs RANK 18 NODE 12 --> 2.72482228 sigma out 37 active outputs RANK 19 NODE 32 --> 2.69200921 sigma out 37 active outputs RANK 20 NODE 34 --> 2.62229681 sigma out 37 active outputs RANK 21 NODE 9 --> 2.03463578 sigma out 37 active outputs RANK 22 NODE 15 --> 1.94936824 sigma out 37 active outputs RANK 23 NODE 7 --> 1.94572043 sigma out 37 active outputs RANK 24 NODE 24 --> 1.78239334 sigma out 37 active outputs RANK 25 NODE 19 --> 1.43792319 sigma out 37 active outputs RANK 26 NODE 20 --> 1.37350488 sigma out 37 active outputs RANK 27 NODE 13 --> 1.33232558 sigma out 36 active outputs RANK 28 NODE 2 --> 1.24660683 sigma out 37 active outputs RANK 29 NODE 17 --> 1.17589188 sigma out 37 active outputs RANK 30 NODE 21 --> 0.472426802 sigma out 37 active outputs RANK 31 NODE 16 --> 0.264558822 sigma out 37 active outputs RANK 32 NODE 14 --> 0.225622967 sigma out 35 active outputs RANK 33 NODE 3 --> 0.208878696 sigma out 35 active outputs RANK 34 NODE 35 --> 0.0731035322 sigma out 36 active outputs RANK 35 NODE 18 --> 0.0730343461 sigma out 36 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 8.95023537 sigma in 35act. ( 5.6629076 sig out 1act.) RANK 2 NODE 35 --> 7.56684065 sigma in 35act. ( 4.45550394 sig out 1act.) RANK 3 NODE 12 --> 7.06326389 sigma in 35act. ( 3.98035383 sig out 1act.) RANK 4 NODE 36 --> 6.81947756 sigma in 34act. ( 3.9678185 sig out 1act.) RANK 5 NODE 29 --> 6.7114315 sigma in 35act. ( 4.01936913 sig out 1act.) RANK 6 NODE 31 --> 6.52786684 sigma in 35act. ( 3.7196064 sig out 1act.) RANK 7 NODE 7 --> 6.38833952 sigma in 35act. ( 3.59126043 sig out 1act.) RANK 8 NODE 23 --> 6.20747948 sigma in 35act. ( 3.52325201 sig out 1act.) RANK 9 NODE 8 --> 6.17755699 sigma in 35act. ( 3.49817085 sig out 1act.) RANK 10 NODE 13 --> 5.61911249 sigma in 34act. ( 2.99967885 sig out 1act.) RANK 11 NODE 21 --> 5.44963121 sigma in 35act. ( 2.9018271 sig out 1act.) RANK 12 NODE 4 --> 5.04018354 sigma in 35act. ( 2.6873486 sig out 1act.) RANK 13 NODE 37 --> 4.70660019 sigma in 35act. ( 2.40380359 sig out 1act.) RANK 14 NODE 5 --> 4.68981457 sigma in 35act. ( 2.39247131 sig out 1act.) RANK 15 NODE 19 --> 4.42887211 sigma in 35act. ( 2.19732356 sig out 1act.) RANK 16 NODE 17 --> 3.9184773 sigma in 35act. ( 1.86499047 sig out 1act.) RANK 17 NODE 20 --> 3.83731937 sigma in 35act. ( 1.85622358 sig out 1act.) RANK 18 NODE 30 --> 3.83513713 sigma in 35act. ( 1.8520031 sig out 1act.) RANK 19 NODE 11 --> 3.37736917 sigma in 35act. ( 1.53124177 sig out 1act.) RANK 20 NODE 1 --> 3.06302071 sigma in 35act. ( 1.35133982 sig out 1act.) RANK 21 NODE 32 --> 3.00092387 sigma in 34act. ( 1.32835209 sig out 1act.) RANK 22 NODE 3 --> 2.88465643 sigma in 35act. ( 1.28009951 sig out 1act.) RANK 23 NODE 28 --> 2.77577066 sigma in 35act. ( 1.21605802 sig out 1act.) RANK 24 NODE 25 --> 2.58886647 sigma in 35act. ( 1.11477435 sig out 1act.) RANK 25 NODE 9 --> 2.47820091 sigma in 35act. ( 1.05836403 sig out 1act.) RANK 26 NODE 22 --> 2.32313371 sigma in 35act. ( 0.975523353 sig out 1act.) RANK 27 NODE 18 --> 2.31807661 sigma in 35act. ( 0.972275972 sig out 1act.) RANK 28 NODE 34 --> 2.26660633 sigma in 35act. ( 0.94417119 sig out 1act.) RANK 29 NODE 15 --> 2.23583698 sigma in 35act. ( 0.936869442 sig out 1act.) RANK 30 NODE 24 --> 2.23061824 sigma in 35act. ( 0.930666924 sig out 1act.) RANK 31 NODE 27 --> 2.17952514 sigma in 35act. ( 0.897371531 sig out 1act.) RANK 32 NODE 26 --> 2.03795695 sigma in 35act. ( 0.834069669 sig out 1act.) RANK 33 NODE 33 --> 1.66299248 sigma in 35act. ( 0.658278108 sig out 1act.) RANK 34 NODE 2 --> 1.5252775 sigma in 34act. ( 0.596617699 sig out 1act.) RANK 35 NODE 14 --> 1.3283509 sigma in 35act. ( 0.51306963 sig out 1act.) RANK 36 NODE 16 --> 0.8592273 sigma in 35act. ( 0.321970135 sig out 1act.) RANK 37 NODE 10 --> 0.210959956 sigma in 32act. ( 0.0775902122 sig out 1 act.) sorted by output significance RANK 1 NODE 6 --> 5.6629076 sigma out 1act.( 8.95023537 sig in 35act.) RANK 2 NODE 35 --> 4.45550394 sigma out 1act.( 7.56684065 sig in 35act.) RANK 3 NODE 29 --> 4.01936913 sigma out 1act.( 6.7114315 sig in 35act.) RANK 4 NODE 12 --> 3.98035383 sigma out 1act.( 7.06326389 sig in 35act.) RANK 5 NODE 36 --> 3.9678185 sigma out 1act.( 6.81947756 sig in 34act.) RANK 6 NODE 31 --> 3.7196064 sigma out 1act.( 6.52786684 sig in 35act.) RANK 7 NODE 7 --> 3.59126043 sigma out 1act.( 6.38833952 sig in 35act.) RANK 8 NODE 23 --> 3.52325201 sigma out 1act.( 6.20747948 sig in 35act.) RANK 9 NODE 8 --> 3.49817085 sigma out 1act.( 6.17755699 sig in 35act.) RANK 10 NODE 13 --> 2.99967885 sigma out 1act.( 5.61911249 sig in 34act.) RANK 11 NODE 21 --> 2.9018271 sigma out 1act.( 5.44963121 sig in 35act.) RANK 12 NODE 4 --> 2.6873486 sigma out 1act.( 5.04018354 sig in 35act.) RANK 13 NODE 37 --> 2.40380359 sigma out 1act.( 4.70660019 sig in 35act.) RANK 14 NODE 5 --> 2.39247131 sigma out 1act.( 4.68981457 sig in 35act.) RANK 15 NODE 19 --> 2.19732356 sigma out 1act.( 4.42887211 sig in 35act.) RANK 16 NODE 17 --> 1.86499047 sigma out 1act.( 3.9184773 sig in 35act.) RANK 17 NODE 20 --> 1.85622358 sigma out 1act.( 3.83731937 sig in 35act.) RANK 18 NODE 30 --> 1.8520031 sigma out 1act.( 3.83513713 sig in 35act.) RANK 19 NODE 11 --> 1.53124177 sigma out 1act.( 3.37736917 sig in 35act.) RANK 20 NODE 1 --> 1.35133982 sigma out 1act.( 3.06302071 sig in 35act.) RANK 21 NODE 32 --> 1.32835209 sigma out 1act.( 3.00092387 sig in 34act.) RANK 22 NODE 3 --> 1.28009951 sigma out 1act.( 2.88465643 sig in 35act.) RANK 23 NODE 28 --> 1.21605802 sigma out 1act.( 2.77577066 sig in 35act.) RANK 24 NODE 25 --> 1.11477435 sigma out 1act.( 2.58886647 sig in 35act.) RANK 25 NODE 9 --> 1.05836403 sigma out 1act.( 2.47820091 sig in 35act.) RANK 26 NODE 22 --> 0.975523353 sigma out 1act.( 2.32313371 sig in 35act.) RANK 27 NODE 18 --> 0.972275972 sigma out 1act.( 2.31807661 sig in 35act.) RANK 28 NODE 34 --> 0.94417119 sigma out 1act.( 2.26660633 sig in 35act.) RANK 29 NODE 15 --> 0.936869442 sigma out 1act.( 2.23583698 sig in 35act.) RANK 30 NODE 24 --> 0.930666924 sigma out 1act.( 2.23061824 sig in 35act.) RANK 31 NODE 27 --> 0.897371531 sigma out 1act.( 2.17952514 sig in 35act.) RANK 32 NODE 26 --> 0.834069669 sigma out 1act.( 2.03795695 sig in 35act.) RANK 33 NODE 33 --> 0.658278108 sigma out 1act.( 1.66299248 sig in 35act.) RANK 34 NODE 2 --> 0.596617699 sigma out 1act.( 1.5252775 sig in 34act.) RANK 35 NODE 14 --> 0.51306963 sigma out 1act.( 1.3283509 sig in 35act.) RANK 36 NODE 16 --> 0.321970135 sigma out 1act.( 0.8592273 sig in 35act.) RANK 37 NODE 10 --> 0.0775902122 sigma out 1act.( 0.210959956 sig in 32act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.8654299 sigma in 37 active inputs *********************************************** *** Learn Path 40 *** loss function: -0.50391072 *** contribution from regularisation: 0.00462030433 *** contribution from error: -0.508531034 *** contribution from DIAG: 0.00400508847 *********************************************** --------------------------------------------------- Iteration : 41 kill weight from layer 1 knot 18 to knot 32 *********************************************** *** Learn Path 41 *** loss function: -0.504496872 *** contribution from regularisation: 0.00410547713 *** contribution from error: -0.508602321 *** contribution from DIAG: 0.00314043695 *********************************************** --------------------------------------------------- Iteration : 42 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 3 to knot 23 kill weight from layer 1 knot 3 to knot 34 *********************************************** *** Learn Path 42 *** loss function: -0.503924668 *** contribution from regularisation: 0.00467443885 *** contribution from error: -0.508599102 *** contribution from DIAG: 0.00372682372 *********************************************** --------------------------------------------------- Iteration : 43 kill weight from layer 1 knot 3 to knot 25 *********************************************** *** Learn Path 43 *** loss function: -0.50452745 *** contribution from regularisation: 0.00414050091 *** contribution from error: -0.508667946 *** contribution from DIAG: 0.00317090657 *********************************************** --------------------------------------------------- Iteration : 44 kill weight from layer 1 knot 16 to knot 10 *********************************************** *** Learn Path 44 *** loss function: -0.504227102 *** contribution from regularisation: 0.00445623463 *** contribution from error: -0.508683324 *** contribution from DIAG: 0.00366439996 *********************************************** --------------------------------------------------- Iteration : 45 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 3 to knot 17 *********************************************** *** Learn Path 45 *** loss function: -0.504699647 *** contribution from regularisation: 0.00400807988 *** contribution from error: -0.508707702 *** contribution from DIAG: 0.00326034776 *********************************************** --------------------------------------------------- Iteration : 46 kill weight from layer 1 knot 18 to knot 16 *********************************************** *** Learn Path 46 *** loss function: -0.50423795 *** contribution from regularisation: 0.00448892266 *** contribution from error: -0.508726895 *** contribution from DIAG: 0.00373880565 *********************************************** --------------------------------------------------- Iteration : 47 *********************************************** *** Learn Path 47 *** loss function: -0.504612029 *** contribution from regularisation: 0.00407013344 *** contribution from error: -0.508682191 *** contribution from DIAG: 0.00323089096 *********************************************** --------------------------------------------------- Iteration : 48 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 18 to knot 4 *********************************************** *** Learn Path 48 *** loss function: -0.504283786 *** contribution from regularisation: 0.0044072126 *** contribution from error: -0.508691013 *** contribution from DIAG: 0.00357284653 *********************************************** --------------------------------------------------- Iteration : 49 kill weight from layer 1 knot 35 to knot 16 *********************************************** *** Learn Path 49 *** loss function: -0.504808426 *** contribution from regularisation: 0.0040110182 *** contribution from error: -0.508819461 *** contribution from DIAG: 0.00324637908 *********************************************** --------------------------------------------------- Iteration : 50 kill weight from layer 1 knot 18 to knot 2 kill weight from layer 1 knot 18 to knot 14 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 33 --> 11.5240555 sigma out 37 active outputs RANK 2 NODE 4 --> 10.0177488 sigma out 37 active outputs RANK 3 NODE 1 --> 7.87806702 sigma out 37 active outputs RANK 4 NODE 31 --> 7.74925423 sigma out 37 active outputs RANK 5 NODE 25 --> 6.62434006 sigma out 37 active outputs RANK 6 NODE 29 --> 5.64624643 sigma out 37 active outputs RANK 7 NODE 5 --> 5.53221607 sigma out 37 active outputs RANK 8 NODE 28 --> 5.26225615 sigma out 37 active outputs RANK 9 NODE 11 --> 4.8180666 sigma out 37 active outputs RANK 10 NODE 26 --> 4.75052834 sigma out 37 active outputs RANK 11 NODE 8 --> 4.64807558 sigma out 37 active outputs RANK 12 NODE 22 --> 4.50974131 sigma out 37 active outputs RANK 13 NODE 10 --> 4.22152376 sigma out 37 active outputs RANK 14 NODE 30 --> 3.8935082 sigma out 37 active outputs RANK 15 NODE 6 --> 3.84065294 sigma out 37 active outputs RANK 16 NODE 12 --> 3.08722782 sigma out 37 active outputs RANK 17 NODE 23 --> 2.94702649 sigma out 37 active outputs RANK 18 NODE 34 --> 2.83500004 sigma out 37 active outputs RANK 19 NODE 32 --> 2.83492851 sigma out 37 active outputs RANK 20 NODE 27 --> 2.72498798 sigma out 37 active outputs RANK 21 NODE 9 --> 2.42852902 sigma out 37 active outputs RANK 22 NODE 15 --> 1.87278509 sigma out 37 active outputs RANK 23 NODE 7 --> 1.71066809 sigma out 37 active outputs RANK 24 NODE 24 --> 1.7005893 sigma out 37 active outputs RANK 25 NODE 19 --> 1.58527946 sigma out 37 active outputs RANK 26 NODE 20 --> 1.33613014 sigma out 37 active outputs RANK 27 NODE 13 --> 0.9949525 sigma out 36 active outputs RANK 28 NODE 17 --> 0.967550099 sigma out 37 active outputs RANK 29 NODE 2 --> 0.910518289 sigma out 37 active outputs RANK 30 NODE 21 --> 0.29303512 sigma out 37 active outputs RANK 31 NODE 16 --> 0.0986338109 sigma out 36 active outputs RANK 32 NODE 14 --> 0.0970756933 sigma out 35 active outputs RANK 33 NODE 3 --> 0.0666759834 sigma out 31 active outputs RANK 34 NODE 35 --> 0.0275093745 sigma out 35 active outputs RANK 35 NODE 18 --> 0.0212312602 sigma out 31 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 8.62173271 sigma in 35act. ( 5.46939707 sig out 1act.) RANK 2 NODE 35 --> 7.18911123 sigma in 35act. ( 4.26513767 sig out 1act.) RANK 3 NODE 36 --> 6.67275095 sigma in 34act. ( 3.88052917 sig out 1act.) RANK 4 NODE 29 --> 6.65320396 sigma in 35act. ( 3.94342089 sig out 1act.) RANK 5 NODE 12 --> 6.46262693 sigma in 35act. ( 3.6939218 sig out 1act.) RANK 6 NODE 31 --> 6.35008621 sigma in 35act. ( 3.62534332 sig out 1act.) RANK 7 NODE 7 --> 6.22829342 sigma in 35act. ( 3.51413178 sig out 1act.) RANK 8 NODE 8 --> 6.10560322 sigma in 35act. ( 3.44762659 sig out 1act.) RANK 9 NODE 23 --> 5.93803692 sigma in 34act. ( 3.38357162 sig out 1act.) RANK 10 NODE 13 --> 5.35085392 sigma in 34act. ( 2.88247085 sig out 1act.) RANK 11 NODE 21 --> 5.26734495 sigma in 35act. ( 2.82700872 sig out 1act.) RANK 12 NODE 4 --> 4.97560358 sigma in 34act. ( 2.64997911 sig out 1act.) RANK 13 NODE 37 --> 4.58831978 sigma in 35act. ( 2.35679102 sig out 1act.) RANK 14 NODE 5 --> 4.48978519 sigma in 35act. ( 2.30847311 sig out 1act.) RANK 15 NODE 19 --> 4.31948805 sigma in 35act. ( 2.16286445 sig out 1act.) RANK 16 NODE 20 --> 3.81069517 sigma in 35act. ( 1.84414458 sig out 1act.) RANK 17 NODE 17 --> 3.7968955 sigma in 34act. ( 1.83133256 sig out 1act.) RANK 18 NODE 30 --> 3.77307892 sigma in 35act. ( 1.82742047 sig out 1act.) RANK 19 NODE 11 --> 3.27603412 sigma in 35act. ( 1.51072204 sig out 1act.) RANK 20 NODE 1 --> 2.95574737 sigma in 35act. ( 1.32877934 sig out 1act.) RANK 21 NODE 32 --> 2.91035438 sigma in 33act. ( 1.30761909 sig out 1act.) RANK 22 NODE 3 --> 2.84645939 sigma in 35act. ( 1.27208841 sig out 1act.) RANK 23 NODE 28 --> 2.73206139 sigma in 35act. ( 1.20855463 sig out 1act.) RANK 24 NODE 25 --> 2.54041338 sigma in 34act. ( 1.1056509 sig out 1act.) RANK 25 NODE 9 --> 2.43820786 sigma in 35act. ( 1.05215585 sig out 1act.) RANK 26 NODE 22 --> 2.27671504 sigma in 35act. ( 0.969411433 sig out 1act.) RANK 27 NODE 18 --> 2.27072477 sigma in 35act. ( 0.965409279 sig out 1act.) RANK 28 NODE 34 --> 2.21403098 sigma in 34act. ( 0.937671304 sig out 1act.) RANK 29 NODE 15 --> 2.2037797 sigma in 35act. ( 0.930153549 sig out 1act.) RANK 30 NODE 24 --> 2.19039869 sigma in 35act. ( 0.924082398 sig out 1act.) RANK 31 NODE 27 --> 2.11943507 sigma in 35act. ( 0.890003085 sig out 1act.) RANK 32 NODE 26 --> 1.99668288 sigma in 35act. ( 0.82907635 sig out 1act.) RANK 33 NODE 33 --> 1.62032962 sigma in 35act. ( 0.654925704 sig out 1act.) RANK 34 NODE 2 --> 1.48061228 sigma in 33act. ( 0.593819141 sig out 1act.) RANK 35 NODE 14 --> 1.28857398 sigma in 34act. ( 0.510964096 sig out 1act.) RANK 36 NODE 16 --> 0.830233157 sigma in 33act. ( 0.321033955 sig out 1act.) RANK 37 NODE 10 --> 0.2021918 sigma in 31act. ( 0.0774605423 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 5.46939707 sigma out 1act.( 8.62173271 sig in 35act.) RANK 2 NODE 35 --> 4.26513767 sigma out 1act.( 7.18911123 sig in 35act.) RANK 3 NODE 29 --> 3.94342089 sigma out 1act.( 6.65320396 sig in 35act.) RANK 4 NODE 36 --> 3.88052917 sigma out 1act.( 6.67275095 sig in 34act.) RANK 5 NODE 12 --> 3.6939218 sigma out 1act.( 6.46262693 sig in 35act.) RANK 6 NODE 31 --> 3.62534332 sigma out 1act.( 6.35008621 sig in 35act.) RANK 7 NODE 7 --> 3.51413178 sigma out 1act.( 6.22829342 sig in 35act.) RANK 8 NODE 8 --> 3.44762659 sigma out 1act.( 6.10560322 sig in 35act.) RANK 9 NODE 23 --> 3.38357162 sigma out 1act.( 5.93803692 sig in 34act.) RANK 10 NODE 13 --> 2.88247085 sigma out 1act.( 5.35085392 sig in 34act.) RANK 11 NODE 21 --> 2.82700872 sigma out 1act.( 5.26734495 sig in 35act.) RANK 12 NODE 4 --> 2.64997911 sigma out 1act.( 4.97560358 sig in 34act.) RANK 13 NODE 37 --> 2.35679102 sigma out 1act.( 4.58831978 sig in 35act.) RANK 14 NODE 5 --> 2.30847311 sigma out 1act.( 4.48978519 sig in 35act.) RANK 15 NODE 19 --> 2.16286445 sigma out 1act.( 4.31948805 sig in 35act.) RANK 16 NODE 20 --> 1.84414458 sigma out 1act.( 3.81069517 sig in 35act.) RANK 17 NODE 17 --> 1.83133256 sigma out 1act.( 3.7968955 sig in 34act.) RANK 18 NODE 30 --> 1.82742047 sigma out 1act.( 3.77307892 sig in 35act.) RANK 19 NODE 11 --> 1.51072204 sigma out 1act.( 3.27603412 sig in 35act.) RANK 20 NODE 1 --> 1.32877934 sigma out 1act.( 2.95574737 sig in 35act.) RANK 21 NODE 32 --> 1.30761909 sigma out 1act.( 2.91035438 sig in 33act.) RANK 22 NODE 3 --> 1.27208841 sigma out 1act.( 2.84645939 sig in 35act.) RANK 23 NODE 28 --> 1.20855463 sigma out 1act.( 2.73206139 sig in 35act.) RANK 24 NODE 25 --> 1.1056509 sigma out 1act.( 2.54041338 sig in 34act.) RANK 25 NODE 9 --> 1.05215585 sigma out 1act.( 2.43820786 sig in 35act.) RANK 26 NODE 22 --> 0.969411433 sigma out 1act.( 2.27671504 sig in 35act.) RANK 27 NODE 18 --> 0.965409279 sigma out 1act.( 2.27072477 sig in 35act.) RANK 28 NODE 34 --> 0.937671304 sigma out 1act.( 2.21403098 sig in 34act.) RANK 29 NODE 15 --> 0.930153549 sigma out 1act.( 2.2037797 sig in 35act.) RANK 30 NODE 24 --> 0.924082398 sigma out 1act.( 2.19039869 sig in 35act.) RANK 31 NODE 27 --> 0.890003085 sigma out 1act.( 2.11943507 sig in 35act.) RANK 32 NODE 26 --> 0.82907635 sigma out 1act.( 1.99668288 sig in 35act.) RANK 33 NODE 33 --> 0.654925704 sigma out 1act.( 1.62032962 sig in 35act.) RANK 34 NODE 2 --> 0.593819141 sigma out 1act.( 1.48061228 sig in 33act.) RANK 35 NODE 14 --> 0.510964096 sigma out 1act.( 1.28857398 sig in 34act.) RANK 36 NODE 16 --> 0.321033955 sigma out 1act.( 0.830233157 sig in 33act.) RANK 37 NODE 10 --> 0.0774605423 sigma out 1act.( 0.2021918 sig in 31act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.4372005 sigma in 37 active inputs *********************************************** *** Learn Path 50 *** loss function: -0.504435897 *** contribution from regularisation: 0.0043558022 *** contribution from error: -0.508791685 *** contribution from DIAG: 0.00354517414 *********************************************** --------------------------------------------------- Iteration : 51 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 35 to knot 14 *********************************************** *** Learn Path 51 *** loss function: -0.504804552 *** contribution from regularisation: 0.00401445292 *** contribution from error: -0.508818984 *** contribution from DIAG: 0.00324074482 *********************************************** --------------------------------------------------- Iteration : 52 kill weight from layer 1 knot 18 to knot 1 kill weight from layer 1 knot 18 to knot 9 kill weight from layer 1 knot 3 to knot 10 kill weight from layer 1 knot 18 to knot 22 kill weight from layer 1 knot 18 to knot 27 kill weight from layer 1 knot 18 to knot 30 kill weight from layer 1 knot 18 to knot 33 kill weight from layer 1 knot 18 to knot 34 *********************************************** *** Learn Path 52 *** loss function: -0.50464499 *** contribution from regularisation: 0.00416740542 *** contribution from error: -0.508812368 *** contribution from DIAG: 0.00341050536 *********************************************** --------------------------------------------------- Iteration : 53 kill weight from layer 1 knot 35 to knot 2 kill weight from layer 1 knot 35 to knot 33 *********************************************** *** Learn Path 53 *** loss function: -0.504751742 *** contribution from regularisation: 0.00408015912 *** contribution from error: -0.508831918 *** contribution from DIAG: 0.00336696021 *********************************************** --------------------------------------------------- Iteration : 54 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 18 to knot 3 kill weight from layer 1 knot 18 to knot 11 kill weight from layer 1 knot 18 to knot 15 kill weight from layer 1 knot 18 to knot 18 kill weight from layer 1 knot 18 to knot 20 kill weight from layer 1 knot 18 to knot 25 kill weight from layer 1 knot 18 to knot 26 kill weight from layer 1 knot 18 to knot 28 *********************************************** *** Learn Path 54 *** loss function: -0.504782736 *** contribution from regularisation: 0.00405386323 *** contribution from error: -0.508836627 *** contribution from DIAG: 0.00341747911 *********************************************** --------------------------------------------------- Iteration : 55 kill weight from layer 1 knot 18 to knot 12 kill weight from layer 1 knot 35 to knot 15 kill weight from layer 1 knot 35 to knot 18 kill weight from layer 1 knot 35 to knot 22 kill weight from layer 1 knot 18 to knot 24 kill weight from layer 1 knot 35 to knot 24 kill weight from layer 1 knot 35 to knot 26 kill weight from layer 1 knot 35 to knot 27 kill weight from layer 1 knot 35 to knot 34 *********************************************** *** Learn Path 55 *** loss function: -0.504693568 *** contribution from regularisation: 0.00413578888 *** contribution from error: -0.508829355 *** contribution from DIAG: 0.00335808564 *********************************************** --------------------------------------------------- Iteration : 56 kill weight from layer 1 knot 18 to knot 5 kill weight from layer 1 knot 35 to knot 9 kill weight from layer 1 knot 21 to knot 10 kill weight from layer 1 knot 3 to knot 16 kill weight from layer 1 knot 16 to knot 16 kill weight from layer 1 knot 18 to knot 17 kill weight from layer 1 knot 18 to knot 23 kill weight from layer 1 knot 35 to knot 25 kill weight from layer 1 knot 18 to knot 35 kill weight from layer 1 knot 18 to knot 37 *********************************************** *** Learn Path 56 *** loss function: -0.504856467 *** contribution from regularisation: 0.00397978863 *** contribution from error: -0.508836269 *** contribution from DIAG: 0.00344216335 *********************************************** --------------------------------------------------- Iteration : 57 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 35 to knot 1 kill weight from layer 1 knot 35 to knot 3 kill weight from layer 1 knot 18 to knot 8 kill weight from layer 1 knot 35 to knot 11 kill weight from layer 1 knot 3 to knot 14 kill weight from layer 1 knot 18 to knot 19 kill weight from layer 1 knot 35 to knot 28 kill weight from layer 1 knot 35 to knot 32 *********************************************** *** Learn Path 57 *** loss function: -0.504635692 *** contribution from regularisation: 0.00419886224 *** contribution from error: -0.508834541 *** contribution from DIAG: 0.00341772451 *********************************************** --------------------------------------------------- Iteration : 58 kill weight from layer 1 knot 18 to knot 6 kill weight from layer 1 knot 18 to knot 7 kill weight from layer 1 knot 14 to knot 16 kill weight from layer 1 knot 18 to knot 21 kill weight from layer 1 knot 18 to knot 36 *********************************************** *** Learn Path 58 *** loss function: -0.504863322 *** contribution from regularisation: 0.00397877954 *** contribution from error: -0.508842111 *** contribution from DIAG: 0.00339081557 *********************************************** --------------------------------------------------- Iteration : 59 kill weight from layer 1 knot 3 to knot 2 kill weight from layer 1 knot 35 to knot 5 kill weight from layer 1 knot 18 to knot 13 kill weight from layer 1 knot 35 to knot 17 kill weight from layer 1 knot 35 to knot 20 kill weight from layer 1 knot 18 to knot 29 kill weight from layer 1 knot 35 to knot 30 kill weight from layer 1 knot 18 to knot 31 kill weight from layer 1 knot 3 to knot 33 *********************************************** *** Learn Path 59 *** loss function: -0.504696488 *** contribution from regularisation: 0.00413731392 *** contribution from error: -0.508833826 *** contribution from DIAG: 0.00338826841 *********************************************** --------------------------------------------------- Iteration : 60 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 35 to knot 4 kill weight from layer 1 knot 35 to knot 13 kill weight from layer 1 knot 14 to knot 14 kill weight from layer 1 knot 35 to knot 19 kill weight from layer 1 knot 35 to knot 21 kill weight from layer 1 knot 3 to knot 22 kill weight from layer 1 knot 3 to knot 24 kill weight from layer 1 knot 3 to knot 27 kill weight from layer 1 knot 35 to knot 37 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 33 --> 11.5489597 sigma out 37 active outputs RANK 2 NODE 1 --> 8.37955093 sigma out 37 active outputs RANK 3 NODE 4 --> 7.9932313 sigma out 37 active outputs RANK 4 NODE 31 --> 7.9088006 sigma out 37 active outputs RANK 5 NODE 25 --> 6.63128805 sigma out 37 active outputs RANK 6 NODE 29 --> 5.62392235 sigma out 37 active outputs RANK 7 NODE 28 --> 5.2542038 sigma out 37 active outputs RANK 8 NODE 5 --> 5.21727037 sigma out 37 active outputs RANK 9 NODE 11 --> 4.8438096 sigma out 37 active outputs RANK 10 NODE 26 --> 4.67204189 sigma out 37 active outputs RANK 11 NODE 22 --> 4.39620352 sigma out 37 active outputs RANK 12 NODE 10 --> 4.14451218 sigma out 37 active outputs RANK 13 NODE 6 --> 3.92719674 sigma out 37 active outputs RANK 14 NODE 8 --> 3.81830716 sigma out 37 active outputs RANK 15 NODE 30 --> 3.62505269 sigma out 37 active outputs RANK 16 NODE 23 --> 3.19928694 sigma out 37 active outputs RANK 17 NODE 12 --> 3.07743645 sigma out 37 active outputs RANK 18 NODE 27 --> 2.81982636 sigma out 37 active outputs RANK 19 NODE 34 --> 2.54313302 sigma out 37 active outputs RANK 20 NODE 32 --> 2.53279424 sigma out 37 active outputs RANK 21 NODE 9 --> 2.32086492 sigma out 37 active outputs RANK 22 NODE 7 --> 1.87043655 sigma out 37 active outputs RANK 23 NODE 19 --> 1.80538261 sigma out 37 active outputs RANK 24 NODE 24 --> 1.71684897 sigma out 37 active outputs RANK 25 NODE 15 --> 1.54790187 sigma out 37 active outputs RANK 26 NODE 20 --> 1.33748794 sigma out 37 active outputs RANK 27 NODE 13 --> 1.11825907 sigma out 36 active outputs RANK 28 NODE 17 --> 1.00258958 sigma out 37 active outputs RANK 29 NODE 2 --> 0.941624224 sigma out 37 active outputs RANK 30 NODE 21 --> 0.185741261 sigma out 36 active outputs RANK 31 NODE 16 --> 0.0631283298 sigma out 35 active outputs RANK 32 NODE 14 --> 0.050034292 sigma out 33 active outputs RANK 33 NODE 3 --> 0.0302430596 sigma out 23 active outputs RANK 34 NODE 35 --> 0.0114688575 sigma out 9 active outputs RANK 35 NODE 18 --> 0. sigma out 0 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 8.48358059 sigma in 34act. ( 5.55886221 sig out 1act.) RANK 2 NODE 35 --> 7.0137496 sigma in 34act. ( 4.32037878 sig out 1act.) RANK 3 NODE 29 --> 6.55255938 sigma in 34act. ( 4.01613712 sig out 1act.) RANK 4 NODE 36 --> 6.52862215 sigma in 33act. ( 3.93992758 sig out 1act.) RANK 5 NODE 12 --> 6.23999166 sigma in 34act. ( 3.72425532 sig out 1act.) RANK 6 NODE 31 --> 6.19307137 sigma in 34act. ( 3.67694235 sig out 1act.) RANK 7 NODE 7 --> 6.06932878 sigma in 34act. ( 3.56431532 sig out 1act.) RANK 8 NODE 8 --> 5.96654272 sigma in 34act. ( 3.50098825 sig out 1act.) RANK 9 NODE 23 --> 5.7716465 sigma in 33act. ( 3.42940211 sig out 1act.) RANK 10 NODE 13 --> 5.16879606 sigma in 32act. ( 2.91367221 sig out 1act.) RANK 11 NODE 21 --> 5.09966993 sigma in 33act. ( 2.86197567 sig out 1act.) RANK 12 NODE 4 --> 4.83697939 sigma in 33act. ( 2.68861723 sig out 1act.) RANK 13 NODE 37 --> 4.42833567 sigma in 33act. ( 2.38381982 sig out 1act.) RANK 14 NODE 5 --> 4.3263402 sigma in 33act. ( 2.33302569 sig out 1act.) RANK 15 NODE 19 --> 4.15779638 sigma in 33act. ( 2.18597269 sig out 1act.) RANK 16 NODE 20 --> 3.66474891 sigma in 33act. ( 1.86332905 sig out 1act.) RANK 17 NODE 17 --> 3.63902497 sigma in 32act. ( 1.84841347 sig out 1act.) RANK 18 NODE 30 --> 3.62617779 sigma in 33act. ( 1.84601665 sig out 1act.) RANK 19 NODE 11 --> 3.12567735 sigma in 33act. ( 1.52265155 sig out 1act.) RANK 20 NODE 1 --> 2.81674767 sigma in 33act. ( 1.33905065 sig out 1act.) RANK 21 NODE 32 --> 2.77145123 sigma in 32act. ( 1.3176024 sig out 1act.) RANK 22 NODE 3 --> 2.71330309 sigma in 33act. ( 1.28180897 sig out 1act.) RANK 23 NODE 28 --> 2.60012722 sigma in 33act. ( 1.21718454 sig out 1act.) RANK 24 NODE 25 --> 2.41553235 sigma in 32act. ( 1.1133002 sig out 1act.) RANK 25 NODE 9 --> 2.31589627 sigma in 33act. ( 1.0590539 sig out 1act.) RANK 26 NODE 22 --> 2.15852785 sigma in 32act. ( 0.975294232 sig out 1act.) RANK 27 NODE 18 --> 2.15348434 sigma in 33act. ( 0.971381307 sig out 1act.) RANK 28 NODE 34 --> 2.09692335 sigma in 32act. ( 0.9431054 sig out 1act.) RANK 29 NODE 15 --> 2.09283495 sigma in 33act. ( 0.93613869 sig out 1act.) RANK 30 NODE 24 --> 2.07800221 sigma in 32act. ( 0.929861724 sig out 1act.) RANK 31 NODE 27 --> 2.0056932 sigma in 32act. ( 0.895011067 sig out 1act.) RANK 32 NODE 26 --> 1.89043963 sigma in 33act. ( 0.833838105 sig out 1act.) RANK 33 NODE 33 --> 1.52825284 sigma in 32act. ( 0.658083797 sig out 1act.) RANK 34 NODE 2 --> 1.39422357 sigma in 31act. ( 0.596491575 sig out 1act.) RANK 35 NODE 14 --> 1.21187413 sigma in 31act. ( 0.513137698 sig out 1act.) RANK 36 NODE 16 --> 0.779144645 sigma in 30act. ( 0.322287947 sig out 1act.) RANK 37 NODE 10 --> 0.189181432 sigma in 29act. ( 0.0777467787 sig out 1 act.) sorted by output significance RANK 1 NODE 6 --> 5.55886221 sigma out 1act.( 8.48358059 sig in 34act.) RANK 2 NODE 35 --> 4.32037878 sigma out 1act.( 7.0137496 sig in 34act.) RANK 3 NODE 29 --> 4.01613712 sigma out 1act.( 6.55255938 sig in 34act.) RANK 4 NODE 36 --> 3.93992758 sigma out 1act.( 6.52862215 sig in 33act.) RANK 5 NODE 12 --> 3.72425532 sigma out 1act.( 6.23999166 sig in 34act.) RANK 6 NODE 31 --> 3.67694235 sigma out 1act.( 6.19307137 sig in 34act.) RANK 7 NODE 7 --> 3.56431532 sigma out 1act.( 6.06932878 sig in 34act.) RANK 8 NODE 8 --> 3.50098825 sigma out 1act.( 5.96654272 sig in 34act.) RANK 9 NODE 23 --> 3.42940211 sigma out 1act.( 5.7716465 sig in 33act.) RANK 10 NODE 13 --> 2.91367221 sigma out 1act.( 5.16879606 sig in 32act.) RANK 11 NODE 21 --> 2.86197567 sigma out 1act.( 5.09966993 sig in 33act.) RANK 12 NODE 4 --> 2.68861723 sigma out 1act.( 4.83697939 sig in 33act.) RANK 13 NODE 37 --> 2.38381982 sigma out 1act.( 4.42833567 sig in 33act.) RANK 14 NODE 5 --> 2.33302569 sigma out 1act.( 4.3263402 sig in 33act.) RANK 15 NODE 19 --> 2.18597269 sigma out 1act.( 4.15779638 sig in 33act.) RANK 16 NODE 20 --> 1.86332905 sigma out 1act.( 3.66474891 sig in 33act.) RANK 17 NODE 17 --> 1.84841347 sigma out 1act.( 3.63902497 sig in 32act.) RANK 18 NODE 30 --> 1.84601665 sigma out 1act.( 3.62617779 sig in 33act.) RANK 19 NODE 11 --> 1.52265155 sigma out 1act.( 3.12567735 sig in 33act.) RANK 20 NODE 1 --> 1.33905065 sigma out 1act.( 2.81674767 sig in 33act.) RANK 21 NODE 32 --> 1.3176024 sigma out 1act.( 2.77145123 sig in 32act.) RANK 22 NODE 3 --> 1.28180897 sigma out 1act.( 2.71330309 sig in 33act.) RANK 23 NODE 28 --> 1.21718454 sigma out 1act.( 2.60012722 sig in 33act.) RANK 24 NODE 25 --> 1.1133002 sigma out 1act.( 2.41553235 sig in 32act.) RANK 25 NODE 9 --> 1.0590539 sigma out 1act.( 2.31589627 sig in 33act.) RANK 26 NODE 22 --> 0.975294232 sigma out 1act.( 2.15852785 sig in 32act.) RANK 27 NODE 18 --> 0.971381307 sigma out 1act.( 2.15348434 sig in 33act.) RANK 28 NODE 34 --> 0.9431054 sigma out 1act.( 2.09692335 sig in 32act.) RANK 29 NODE 15 --> 0.93613869 sigma out 1act.( 2.09283495 sig in 33act.) RANK 30 NODE 24 --> 0.929861724 sigma out 1act.( 2.07800221 sig in 32act.) RANK 31 NODE 27 --> 0.895011067 sigma out 1act.( 2.0056932 sig in 32act.) RANK 32 NODE 26 --> 0.833838105 sigma out 1act.( 1.89043963 sig in 33act.) RANK 33 NODE 33 --> 0.658083797 sigma out 1act.( 1.52825284 sig in 32act.) RANK 34 NODE 2 --> 0.596491575 sigma out 1act.( 1.39422357 sig in 31act.) RANK 35 NODE 14 --> 0.513137698 sigma out 1act.( 1.21187413 sig in 31act.) RANK 36 NODE 16 --> 0.322287947 sigma out 1act.( 0.779144645 sig in 30act.) RANK 37 NODE 10 --> 0.0777467787 sigma out 1act.( 0.189181432 sig in 29act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.627285 sigma in 37 active inputs *********************************************** *** Learn Path 60 *** loss function: -0.504771352 *** contribution from regularisation: 0.0040569813 *** contribution from error: -0.508828342 *** contribution from DIAG: 0.00339776487 *********************************************** --------------------------------------------------- Iteration : 61 kill weight from layer 1 knot 3 to knot 3 kill weight from layer 1 knot 35 to knot 7 kill weight from layer 1 knot 35 to knot 8 kill weight from layer 1 knot 3 to knot 12 kill weight from layer 1 knot 35 to knot 12 kill weight from layer 1 knot 3 to knot 15 kill weight from layer 1 knot 35 to knot 23 kill weight from layer 1 knot 3 to knot 28 kill weight from layer 1 knot 35 to knot 29 kill weight from layer 1 knot 35 to knot 31 kill weight from layer 1 knot 3 to knot 32 kill weight from layer 1 knot 35 to knot 35 kill weight from layer 1 knot 35 to knot 36 *********************************************** *** Learn Path 61 *** loss function: -0.504669249 *** contribution from regularisation: 0.00415868126 *** contribution from error: -0.508827925 *** contribution from DIAG: 0.00344073609 *********************************************** --------------------------------------------------- Iteration : 62 kill weight from layer 1 knot 16 to knot 2 kill weight from layer 1 knot 3 to knot 9 kill weight from layer 1 knot 3 to knot 11 kill weight from layer 1 knot 16 to knot 14 kill weight from layer 1 knot 3 to knot 18 kill weight from layer 1 knot 3 to knot 19 kill weight from layer 1 knot 3 to knot 20 kill weight from layer 1 knot 3 to knot 26 kill weight from layer 1 knot 14 to knot 33 *********************************************** *** Learn Path 62 *** loss function: -0.504773796 *** contribution from regularisation: 0.00404978124 *** contribution from error: -0.508823574 *** contribution from DIAG: 0.00339314132 *********************************************** --------------------------------------------------- Iteration : 63 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 3 to knot 1 kill weight from layer 1 knot 35 to knot 6 kill weight from layer 1 knot 14 to knot 15 kill weight from layer 1 knot 14 to knot 18 kill weight from layer 1 knot 14 to knot 22 kill weight from layer 1 knot 14 to knot 24 kill weight from layer 1 knot 14 to knot 26 kill weight from layer 1 knot 14 to knot 27 kill weight from layer 1 knot 14 to knot 34 *********************************************** *** Learn Path 63 *** loss function: -0.504720747 *** contribution from regularisation: 0.00411110558 *** contribution from error: -0.508831859 *** contribution from DIAG: 0.00339910807 *********************************************** --------------------------------------------------- Iteration : 64 kill weight from layer 1 knot 14 to knot 1 kill weight from layer 1 knot 14 to knot 3 kill weight from layer 1 knot 3 to knot 6 kill weight from layer 1 knot 14 to knot 9 kill weight from layer 1 knot 14 to knot 25 kill weight from layer 1 knot 14 to knot 28 kill weight from layer 1 knot 3 to knot 31 kill weight from layer 1 knot 14 to knot 32 kill weight from layer 1 knot 16 to knot 33 *********************************************** *** Learn Path 64 *** loss function: -0.504734397 *** contribution from regularisation: 0.00410028268 *** contribution from error: -0.50883466 *** contribution from DIAG: 0.0033212218 *********************************************** --------------------------------------------------- Iteration : 65 kill weight from layer 1 knot 3 to knot 4 kill weight from layer 1 knot 3 to knot 5 kill weight from layer 1 knot 3 to knot 7 kill weight from layer 1 knot 3 to knot 8 kill weight from layer 1 knot 21 to knot 16 kill weight from layer 1 knot 3 to knot 30 kill weight from layer 1 knot 3 to knot 37 *********************************************** *** Learn Path 65 *** loss function: -0.504726052 *** contribution from regularisation: 0.00410406664 *** contribution from error: -0.50883013 *** contribution from DIAG: 0.00336643984 *********************************************** --------------------------------------------------- Iteration : 66 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 16 to knot 1 kill weight from layer 1 knot 16 to knot 3 kill weight from layer 1 knot 16 to knot 9 kill weight from layer 1 knot 14 to knot 11 kill weight from layer 1 knot 16 to knot 15 kill weight from layer 1 knot 16 to knot 18 kill weight from layer 1 knot 16 to knot 22 kill weight from layer 1 knot 16 to knot 24 kill weight from layer 1 knot 16 to knot 25 kill weight from layer 1 knot 16 to knot 26 kill weight from layer 1 knot 16 to knot 27 kill weight from layer 1 knot 16 to knot 28 kill weight from layer 1 knot 14 to knot 30 kill weight from layer 1 knot 16 to knot 34 *********************************************** *** Learn Path 66 *** loss function: -0.504836142 *** contribution from regularisation: 0.00400059531 *** contribution from error: -0.508836746 *** contribution from DIAG: 0.00340429717 *********************************************** --------------------------------------------------- Iteration : 67 kill weight from layer 1 knot 14 to knot 4 kill weight from layer 1 knot 14 to knot 5 kill weight from layer 1 knot 14 to knot 17 kill weight from layer 1 knot 14 to knot 19 kill weight from layer 1 knot 14 to knot 20 kill weight from layer 1 knot 3 to knot 21 kill weight from layer 1 knot 3 to knot 29 kill weight from layer 1 knot 3 to knot 35 kill weight from layer 1 knot 14 to knot 37 *********************************************** *** Learn Path 67 *** loss function: -0.504708588 *** contribution from regularisation: 0.00411726488 *** contribution from error: -0.508825839 *** contribution from DIAG: 0.00339401676 *********************************************** --------------------------------------------------- Iteration : 68 kill weight from layer 1 knot 21 to knot 2 kill weight from layer 1 knot 14 to knot 8 kill weight from layer 1 knot 2 to knot 10 kill weight from layer 1 knot 16 to knot 11 kill weight from layer 1 knot 14 to knot 12 kill weight from layer 1 knot 14 to knot 13 kill weight from layer 1 knot 21 to knot 14 kill weight from layer 1 knot 14 to knot 21 kill weight from layer 1 knot 14 to knot 23 kill weight from layer 1 knot 16 to knot 32 *********************************************** *** Learn Path 68 *** loss function: -0.504791617 *** contribution from regularisation: 0.00402295636 *** contribution from error: -0.508814573 *** contribution from DIAG: 0.00345256226 *********************************************** --------------------------------------------------- Iteration : 69 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 14 to knot 7 kill weight from layer 1 knot 14 to knot 29 kill weight from layer 1 knot 14 to knot 31 kill weight from layer 1 knot 21 to knot 33 kill weight from layer 1 knot 14 to knot 36 *********************************************** *** Learn Path 69 *** loss function: -0.504725039 *** contribution from regularisation: 0.00407490088 *** contribution from error: -0.508799911 *** contribution from DIAG: 0.00338898413 *********************************************** --------------------------------------------------- Iteration : 70 kill weight from layer 1 knot 16 to knot 5 kill weight from layer 1 knot 14 to knot 6 kill weight from layer 1 knot 16 to knot 17 kill weight from layer 1 knot 16 to knot 19 kill weight from layer 1 knot 16 to knot 20 kill weight from layer 1 knot 16 to knot 30 kill weight from layer 1 knot 14 to knot 35 kill weight from layer 1 knot 16 to knot 37 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 33 --> 11.5280294 sigma out 37 active outputs RANK 2 NODE 1 --> 8.29866982 sigma out 37 active outputs RANK 3 NODE 4 --> 7.93415165 sigma out 37 active outputs RANK 4 NODE 31 --> 7.90978622 sigma out 37 active outputs RANK 5 NODE 25 --> 6.54798365 sigma out 37 active outputs RANK 6 NODE 29 --> 5.46440887 sigma out 37 active outputs RANK 7 NODE 28 --> 5.33070087 sigma out 37 active outputs RANK 8 NODE 5 --> 5.28698492 sigma out 37 active outputs RANK 9 NODE 11 --> 4.80569601 sigma out 37 active outputs RANK 10 NODE 26 --> 4.67300367 sigma out 37 active outputs RANK 11 NODE 22 --> 4.41408062 sigma out 37 active outputs RANK 12 NODE 8 --> 4.16054106 sigma out 37 active outputs RANK 13 NODE 6 --> 4.04160118 sigma out 37 active outputs RANK 14 NODE 10 --> 3.98568225 sigma out 37 active outputs RANK 15 NODE 30 --> 3.72568202 sigma out 37 active outputs RANK 16 NODE 12 --> 3.54042602 sigma out 37 active outputs RANK 17 NODE 23 --> 3.05933785 sigma out 37 active outputs RANK 18 NODE 34 --> 2.91663766 sigma out 37 active outputs RANK 19 NODE 27 --> 2.7796042 sigma out 37 active outputs RANK 20 NODE 32 --> 2.53548288 sigma out 37 active outputs RANK 21 NODE 9 --> 2.40380168 sigma out 37 active outputs RANK 22 NODE 7 --> 1.92279923 sigma out 37 active outputs RANK 23 NODE 24 --> 1.70227671 sigma out 37 active outputs RANK 24 NODE 19 --> 1.64462197 sigma out 37 active outputs RANK 25 NODE 15 --> 1.47098553 sigma out 37 active outputs RANK 26 NODE 20 --> 1.3107779 sigma out 37 active outputs RANK 27 NODE 13 --> 1.27672255 sigma out 36 active outputs RANK 28 NODE 17 --> 0.973852575 sigma out 37 active outputs RANK 29 NODE 2 --> 0.76567024 sigma out 36 active outputs RANK 30 NODE 21 --> 0.0990722999 sigma out 32 active outputs RANK 31 NODE 16 --> 0.0363652334 sigma out 12 active outputs RANK 32 NODE 3 --> 0. sigma out 0 active outputs RANK 33 NODE 35 --> 0. sigma out 0 active outputs RANK 34 NODE 18 --> 0. sigma out 0 active outputs RANK 35 NODE 14 --> 0. sigma out 0 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 8.4843111 sigma in 31act. ( 5.43575335 sig out 1act.) RANK 2 NODE 35 --> 7.01035547 sigma in 31act. ( 4.22126293 sig out 1act.) RANK 3 NODE 29 --> 6.57867527 sigma in 31act. ( 3.93552804 sig out 1act.) RANK 4 NODE 36 --> 6.54567623 sigma in 31act. ( 3.85568595 sig out 1act.) RANK 5 NODE 12 --> 6.2240243 sigma in 31act. ( 3.63288879 sig out 1act.) RANK 6 NODE 31 --> 6.20773983 sigma in 31act. ( 3.59728694 sig out 1act.) RANK 7 NODE 7 --> 6.08707428 sigma in 31act. ( 3.48804212 sig out 1act.) RANK 8 NODE 8 --> 5.98857641 sigma in 31act. ( 3.42828989 sig out 1act.) RANK 9 NODE 23 --> 5.7782464 sigma in 31act. ( 3.35417557 sig out 1act.) RANK 10 NODE 13 --> 5.17525721 sigma in 31act. ( 2.84923124 sig out 1act.) RANK 11 NODE 21 --> 5.11084509 sigma in 31act. ( 2.80082083 sig out 1act.) RANK 12 NODE 4 --> 4.85464764 sigma in 31act. ( 2.63464856 sig out 1act.) RANK 13 NODE 37 --> 4.44114304 sigma in 30act. ( 2.33490467 sig out 1act.) RANK 14 NODE 5 --> 4.33379841 sigma in 30act. ( 2.28365231 sig out 1act.) RANK 15 NODE 19 --> 4.17059183 sigma in 30act. ( 2.14232898 sig out 1act.) RANK 16 NODE 20 --> 3.67892885 sigma in 30act. ( 1.82828915 sig out 1act.) RANK 17 NODE 17 --> 3.6492517 sigma in 30act. ( 1.81247544 sig out 1act.) RANK 18 NODE 30 --> 3.63822198 sigma in 30act. ( 1.81039047 sig out 1act.) RANK 19 NODE 11 --> 3.13470626 sigma in 30act. ( 1.49496639 sig out 1act.) RANK 20 NODE 1 --> 2.82358241 sigma in 30act. ( 1.31491923 sig out 1act.) RANK 21 NODE 32 --> 2.77824163 sigma in 29act. ( 1.29393709 sig out 1act.) RANK 22 NODE 3 --> 2.72265458 sigma in 30act. ( 1.2599467 sig out 1act.) RANK 23 NODE 28 --> 2.60887671 sigma in 30act. ( 1.19684625 sig out 1act.) RANK 24 NODE 25 --> 2.42319393 sigma in 30act. ( 1.09495771 sig out 1act.) RANK 25 NODE 9 --> 2.32348776 sigma in 30act. ( 1.04209268 sig out 1act.) RANK 26 NODE 22 --> 2.16532183 sigma in 30act. ( 0.960142314 sig out 1act.) RANK 27 NODE 18 --> 2.16019917 sigma in 30act. ( 0.956192732 sig out 1act.) RANK 28 NODE 34 --> 2.10334802 sigma in 30act. ( 0.928654313 sig out 1act.) RANK 29 NODE 15 --> 2.09961748 sigma in 30act. ( 0.921486735 sig out 1act.) RANK 30 NODE 24 --> 2.08456206 sigma in 30act. ( 0.915428281 sig out 1act.) RANK 31 NODE 27 --> 2.01161814 sigma in 30act. ( 0.881451547 sig out 1act.) RANK 32 NODE 26 --> 1.89630246 sigma in 30act. ( 0.821459949 sig out 1act.) RANK 33 NODE 33 --> 1.53280854 sigma in 29act. ( 0.6491853 sig out 1act.) RANK 34 NODE 2 --> 1.39823067 sigma in 29act. ( 0.588737428 sig out 1act.) RANK 35 NODE 14 --> 1.21535087 sigma in 29act. ( 0.506774724 sig out 1act.) RANK 36 NODE 16 --> 0.781331956 sigma in 29act. ( 0.318672925 sig out 1act.) RANK 37 NODE 10 --> 0.189539656 sigma in 28act. ( 0.076947622 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 5.43575335 sigma out 1act.( 8.4843111 sig in 31act.) RANK 2 NODE 35 --> 4.22126293 sigma out 1act.( 7.01035547 sig in 31act.) RANK 3 NODE 29 --> 3.93552804 sigma out 1act.( 6.57867527 sig in 31act.) RANK 4 NODE 36 --> 3.85568595 sigma out 1act.( 6.54567623 sig in 31act.) RANK 5 NODE 12 --> 3.63288879 sigma out 1act.( 6.2240243 sig in 31act.) RANK 6 NODE 31 --> 3.59728694 sigma out 1act.( 6.20773983 sig in 31act.) RANK 7 NODE 7 --> 3.48804212 sigma out 1act.( 6.08707428 sig in 31act.) RANK 8 NODE 8 --> 3.42828989 sigma out 1act.( 5.98857641 sig in 31act.) RANK 9 NODE 23 --> 3.35417557 sigma out 1act.( 5.7782464 sig in 31act.) RANK 10 NODE 13 --> 2.84923124 sigma out 1act.( 5.17525721 sig in 31act.) RANK 11 NODE 21 --> 2.80082083 sigma out 1act.( 5.11084509 sig in 31act.) RANK 12 NODE 4 --> 2.63464856 sigma out 1act.( 4.85464764 sig in 31act.) RANK 13 NODE 37 --> 2.33490467 sigma out 1act.( 4.44114304 sig in 30act.) RANK 14 NODE 5 --> 2.28365231 sigma out 1act.( 4.33379841 sig in 30act.) RANK 15 NODE 19 --> 2.14232898 sigma out 1act.( 4.17059183 sig in 30act.) RANK 16 NODE 20 --> 1.82828915 sigma out 1act.( 3.67892885 sig in 30act.) RANK 17 NODE 17 --> 1.81247544 sigma out 1act.( 3.6492517 sig in 30act.) RANK 18 NODE 30 --> 1.81039047 sigma out 1act.( 3.63822198 sig in 30act.) RANK 19 NODE 11 --> 1.49496639 sigma out 1act.( 3.13470626 sig in 30act.) RANK 20 NODE 1 --> 1.31491923 sigma out 1act.( 2.82358241 sig in 30act.) RANK 21 NODE 32 --> 1.29393709 sigma out 1act.( 2.77824163 sig in 29act.) RANK 22 NODE 3 --> 1.2599467 sigma out 1act.( 2.72265458 sig in 30act.) RANK 23 NODE 28 --> 1.19684625 sigma out 1act.( 2.60887671 sig in 30act.) RANK 24 NODE 25 --> 1.09495771 sigma out 1act.( 2.42319393 sig in 30act.) RANK 25 NODE 9 --> 1.04209268 sigma out 1act.( 2.32348776 sig in 30act.) RANK 26 NODE 22 --> 0.960142314 sigma out 1act.( 2.16532183 sig in 30act.) RANK 27 NODE 18 --> 0.956192732 sigma out 1act.( 2.16019917 sig in 30act.) RANK 28 NODE 34 --> 0.928654313 sigma out 1act.( 2.10334802 sig in 30act.) RANK 29 NODE 15 --> 0.921486735 sigma out 1act.( 2.09961748 sig in 30act.) RANK 30 NODE 24 --> 0.915428281 sigma out 1act.( 2.08456206 sig in 30act.) RANK 31 NODE 27 --> 0.881451547 sigma out 1act.( 2.01161814 sig in 30act.) RANK 32 NODE 26 --> 0.821459949 sigma out 1act.( 1.89630246 sig in 30act.) RANK 33 NODE 33 --> 0.6491853 sigma out 1act.( 1.53280854 sig in 29act.) RANK 34 NODE 2 --> 0.588737428 sigma out 1act.( 1.39823067 sig in 29act.) RANK 35 NODE 14 --> 0.506774724 sigma out 1act.( 1.21535087 sig in 29act.) RANK 36 NODE 16 --> 0.318672925 sigma out 1act.( 0.781331956 sig in 29act.) RANK 37 NODE 10 --> 0.076947622 sigma out 1act.( 0.189539656 sig in 28act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.3181076 sigma in 37 active inputs *********************************************** *** Learn Path 70 *** loss function: -0.504692614 *** contribution from regularisation: 0.00411487091 *** contribution from error: -0.50880748 *** contribution from DIAG: 0.00338699017 *********************************************** --------------------------------------------------- Iteration : 71 kill weight from layer 1 knot 21 to knot 9 kill weight from layer 1 knot 17 to knot 10 kill weight from layer 1 knot 21 to knot 15 kill weight from layer 1 knot 21 to knot 18 kill weight from layer 1 knot 21 to knot 22 kill weight from layer 1 knot 21 to knot 24 kill weight from layer 1 knot 21 to knot 26 kill weight from layer 1 knot 21 to knot 27 kill weight from layer 1 knot 21 to knot 34 *********************************************** *** Learn Path 71 *** loss function: -0.504775822 *** contribution from regularisation: 0.00402645627 *** contribution from error: -0.508802295 *** contribution from DIAG: 0.00341189373 *********************************************** --------------------------------------------------- Iteration : 72 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 21 to knot 1 kill weight from layer 1 knot 21 to knot 3 kill weight from layer 1 knot 16 to knot 4 kill weight from layer 1 knot 16 to knot 8 kill weight from layer 1 knot 16 to knot 12 kill weight from layer 1 knot 16 to knot 13 kill weight from layer 1 knot 16 to knot 21 kill weight from layer 1 knot 16 to knot 23 kill weight from layer 1 knot 21 to knot 25 kill weight from layer 1 knot 21 to knot 28 kill weight from layer 1 knot 16 to knot 31 kill weight from layer 1 knot 21 to knot 32 *********************************************** *** Learn Path 72 *** loss function: -0.504676461 *** contribution from regularisation: 0.00412758673 *** contribution from error: -0.508804023 *** contribution from DIAG: 0.00336484564 *********************************************** --------------------------------------------------- Iteration : 73 kill weight from layer 1 knot 16 to knot 7 kill weight from layer 1 knot 13 to knot 10 kill weight from layer 1 knot 20 to knot 10 kill weight from layer 1 knot 16 to knot 29 kill weight from layer 1 knot 16 to knot 35 kill weight from layer 1 knot 16 to knot 36 *********************************************** *** Learn Path 73 *** loss function: -0.504898012 *** contribution from regularisation: 0.00391161582 *** contribution from error: -0.508809626 *** contribution from DIAG: 0.00332510355 *********************************************** --------------------------------------------------- Iteration : 74 kill weight from layer 1 knot 21 to knot 5 kill weight from layer 1 knot 16 to knot 6 kill weight from layer 1 knot 21 to knot 11 kill weight from layer 1 knot 21 to knot 17 kill weight from layer 1 knot 21 to knot 20 kill weight from layer 1 knot 21 to knot 30 *********************************************** *** Learn Path 74 *** loss function: -0.50458467 *** contribution from regularisation: 0.00421999674 *** contribution from error: -0.508804679 *** contribution from DIAG: 0.00333547313 *********************************************** --------------------------------------------------- Iteration : 75 WARNING in NB_TEACHER: limited eta to preset max. value *********************************************** *** Learn Path 75 *** loss function: -0.504828095 *** contribution from regularisation: 0.00396477012 *** contribution from error: -0.508792877 *** contribution from DIAG: 0.00333262514 *********************************************** --------------------------------------------------- Iteration : 76 kill weight from layer 1 knot 21 to knot 4 kill weight from layer 1 knot 21 to knot 7 kill weight from layer 1 knot 21 to knot 8 kill weight from layer 1 knot 21 to knot 12 kill weight from layer 1 knot 21 to knot 13 kill weight from layer 1 knot 21 to knot 19 kill weight from layer 1 knot 21 to knot 21 kill weight from layer 1 knot 21 to knot 23 kill weight from layer 1 knot 21 to knot 31 kill weight from layer 1 knot 21 to knot 37 *********************************************** *** Learn Path 76 *** loss function: -0.504712999 *** contribution from regularisation: 0.00409829244 *** contribution from error: -0.508811295 *** contribution from DIAG: 0.00328186015 *********************************************** --------------------------------------------------- Iteration : 77 kill weight from layer 1 knot 15 to knot 10 kill weight from layer 1 knot 19 to knot 10 kill weight from layer 1 knot 24 to knot 10 *********************************************** *** Learn Path 77 *** loss function: -0.504662335 *** contribution from regularisation: 0.0040948228 *** contribution from error: -0.508757174 *** contribution from DIAG: 0.0034456416 *********************************************** --------------------------------------------------- Iteration : 78 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 21 to knot 6 kill weight from layer 1 knot 7 to knot 10 kill weight from layer 1 knot 21 to knot 29 kill weight from layer 1 knot 21 to knot 35 kill weight from layer 1 knot 21 to knot 36 *********************************************** *** Learn Path 78 *** loss function: -0.504708588 *** contribution from regularisation: 0.00404098723 *** contribution from error: -0.508749604 *** contribution from DIAG: 0.0033878095 *********************************************** --------------------------------------------------- Iteration : 79 *********************************************** *** Learn Path 79 *** loss function: -0.504662156 *** contribution from regularisation: 0.00406974414 *** contribution from error: -0.508731902 *** contribution from DIAG: 0.00355310179 *********************************************** --------------------------------------------------- Iteration : 80 kill weight from layer 1 knot 9 to knot 10 kill weight from layer 1 knot 32 to knot 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 33 --> 10.9296236 sigma out 37 active outputs RANK 2 NODE 1 --> 8.57920074 sigma out 37 active outputs RANK 3 NODE 31 --> 8.114851 sigma out 37 active outputs RANK 4 NODE 4 --> 7.81747103 sigma out 37 active outputs RANK 5 NODE 25 --> 6.42851162 sigma out 37 active outputs RANK 6 NODE 29 --> 5.68264818 sigma out 37 active outputs RANK 7 NODE 28 --> 5.34491348 sigma out 37 active outputs RANK 8 NODE 5 --> 5.08890724 sigma out 37 active outputs RANK 9 NODE 11 --> 4.83176136 sigma out 37 active outputs RANK 10 NODE 26 --> 4.6760397 sigma out 37 active outputs RANK 11 NODE 22 --> 4.29075098 sigma out 37 active outputs RANK 12 NODE 6 --> 4.03938627 sigma out 37 active outputs RANK 13 NODE 8 --> 3.90588713 sigma out 37 active outputs RANK 14 NODE 10 --> 3.90005302 sigma out 37 active outputs RANK 15 NODE 30 --> 3.53362775 sigma out 37 active outputs RANK 16 NODE 12 --> 3.14824772 sigma out 37 active outputs RANK 17 NODE 23 --> 2.98050666 sigma out 37 active outputs RANK 18 NODE 34 --> 2.64266157 sigma out 37 active outputs RANK 19 NODE 27 --> 2.6155777 sigma out 37 active outputs RANK 20 NODE 32 --> 2.39394832 sigma out 36 active outputs RANK 21 NODE 9 --> 2.17372108 sigma out 36 active outputs RANK 22 NODE 24 --> 1.98305917 sigma out 36 active outputs RANK 23 NODE 19 --> 1.81973958 sigma out 36 active outputs RANK 24 NODE 7 --> 1.71026444 sigma out 36 active outputs RANK 25 NODE 15 --> 1.68602371 sigma out 36 active outputs RANK 26 NODE 13 --> 1.33671951 sigma out 35 active outputs RANK 27 NODE 20 --> 1.27902389 sigma out 36 active outputs RANK 28 NODE 17 --> 0.900056243 sigma out 36 active outputs RANK 29 NODE 2 --> 0.768542111 sigma out 36 active outputs RANK 30 NODE 3 --> 0. sigma out 0 active outputs RANK 31 NODE 35 --> 0. sigma out 0 active outputs RANK 32 NODE 21 --> 0. sigma out 0 active outputs RANK 33 NODE 18 --> 0. sigma out 0 active outputs RANK 34 NODE 16 --> 0. sigma out 0 active outputs RANK 35 NODE 14 --> 0. sigma out 0 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 8.34690094 sigma in 29act. ( 5.40494108 sig out 1act.) RANK 2 NODE 35 --> 6.88903713 sigma in 29act. ( 4.19979811 sig out 1act.) RANK 3 NODE 29 --> 6.48972178 sigma in 29act. ( 3.92325926 sig out 1act.) RANK 4 NODE 36 --> 6.47183132 sigma in 29act. ( 3.85540795 sig out 1act.) RANK 5 NODE 31 --> 6.13780737 sigma in 29act. ( 3.59873867 sig out 1act.) RANK 6 NODE 12 --> 6.0907383 sigma in 29act. ( 3.60417747 sig out 1act.) RANK 7 NODE 7 --> 6.03429794 sigma in 29act. ( 3.49883962 sig out 1act.) RANK 8 NODE 8 --> 5.92976618 sigma in 29act. ( 3.43468571 sig out 1act.) RANK 9 NODE 23 --> 5.67033243 sigma in 29act. ( 3.33063889 sig out 1act.) RANK 10 NODE 13 --> 5.09969234 sigma in 29act. ( 2.84617233 sig out 1act.) RANK 11 NODE 21 --> 5.04117823 sigma in 29act. ( 2.80064869 sig out 1act.) RANK 12 NODE 4 --> 4.78728056 sigma in 29act. ( 2.63314533 sig out 1act.) RANK 13 NODE 37 --> 4.38068342 sigma in 29act. ( 2.33673859 sig out 1act.) RANK 14 NODE 5 --> 4.24780416 sigma in 29act. ( 2.27232122 sig out 1act.) RANK 15 NODE 19 --> 4.12204504 sigma in 29act. ( 2.14957786 sig out 1act.) RANK 16 NODE 20 --> 3.63427401 sigma in 29act. ( 1.83460033 sig out 1act.) RANK 17 NODE 17 --> 3.59857893 sigma in 29act. ( 1.81632221 sig out 1act.) RANK 18 NODE 30 --> 3.58185148 sigma in 29act. ( 1.81105244 sig out 1act.) RANK 19 NODE 11 --> 3.0929029 sigma in 29act. ( 1.50025034 sig out 1act.) RANK 20 NODE 1 --> 2.76896548 sigma in 29act. ( 1.31200063 sig out 1act.) RANK 21 NODE 32 --> 2.72982621 sigma in 28act. ( 1.29507613 sig out 1act.) RANK 22 NODE 3 --> 2.6819427 sigma in 29act. ( 1.26303744 sig out 1act.) RANK 23 NODE 28 --> 2.57095742 sigma in 29act. ( 1.20028996 sig out 1act.) RANK 24 NODE 25 --> 2.38234663 sigma in 29act. ( 1.09649599 sig out 1act.) RANK 25 NODE 9 --> 2.28626204 sigma in 29act. ( 1.04419625 sig out 1act.) RANK 26 NODE 22 --> 2.13054681 sigma in 29act. ( 0.962126195 sig out 1act.) RANK 27 NODE 18 --> 2.12338161 sigma in 29act. ( 0.95763582 sig out 1act.) RANK 28 NODE 34 --> 2.06987906 sigma in 29act. ( 0.930692255 sig out 1act.) RANK 29 NODE 15 --> 2.05875134 sigma in 29act. ( 0.921529591 sig out 1act.) RANK 30 NODE 24 --> 2.04604173 sigma in 29act. ( 0.916026533 sig out 1act.) RANK 31 NODE 27 --> 1.97796988 sigma in 29act. ( 0.882964015 sig out 1act.) RANK 32 NODE 26 --> 1.86170244 sigma in 29act. ( 0.822191715 sig out 1act.) RANK 33 NODE 33 --> 1.50575387 sigma in 29act. ( 0.649888635 sig out 1act.) RANK 34 NODE 2 --> 1.37431622 sigma in 29act. ( 0.589422762 sig out 1act.) RANK 35 NODE 14 --> 1.19444323 sigma in 29act. ( 0.50722605 sig out 1act.) RANK 36 NODE 16 --> 0.767151952 sigma in 29act. ( 0.318722129 sig out 1act.) RANK 37 NODE 10 --> 0.179862499 sigma in 19act. ( 0.0768793672 sig out 1 act.) sorted by output significance RANK 1 NODE 6 --> 5.40494108 sigma out 1act.( 8.34690094 sig in 29act.) RANK 2 NODE 35 --> 4.19979811 sigma out 1act.( 6.88903713 sig in 29act.) RANK 3 NODE 29 --> 3.92325926 sigma out 1act.( 6.48972178 sig in 29act.) RANK 4 NODE 36 --> 3.85540795 sigma out 1act.( 6.47183132 sig in 29act.) RANK 5 NODE 12 --> 3.60417747 sigma out 1act.( 6.0907383 sig in 29act.) RANK 6 NODE 31 --> 3.59873867 sigma out 1act.( 6.13780737 sig in 29act.) RANK 7 NODE 7 --> 3.49883962 sigma out 1act.( 6.03429794 sig in 29act.) RANK 8 NODE 8 --> 3.43468571 sigma out 1act.( 5.92976618 sig in 29act.) RANK 9 NODE 23 --> 3.33063889 sigma out 1act.( 5.67033243 sig in 29act.) RANK 10 NODE 13 --> 2.84617233 sigma out 1act.( 5.09969234 sig in 29act.) RANK 11 NODE 21 --> 2.80064869 sigma out 1act.( 5.04117823 sig in 29act.) RANK 12 NODE 4 --> 2.63314533 sigma out 1act.( 4.78728056 sig in 29act.) RANK 13 NODE 37 --> 2.33673859 sigma out 1act.( 4.38068342 sig in 29act.) RANK 14 NODE 5 --> 2.27232122 sigma out 1act.( 4.24780416 sig in 29act.) RANK 15 NODE 19 --> 2.14957786 sigma out 1act.( 4.12204504 sig in 29act.) RANK 16 NODE 20 --> 1.83460033 sigma out 1act.( 3.63427401 sig in 29act.) RANK 17 NODE 17 --> 1.81632221 sigma out 1act.( 3.59857893 sig in 29act.) RANK 18 NODE 30 --> 1.81105244 sigma out 1act.( 3.58185148 sig in 29act.) RANK 19 NODE 11 --> 1.50025034 sigma out 1act.( 3.0929029 sig in 29act.) RANK 20 NODE 1 --> 1.31200063 sigma out 1act.( 2.76896548 sig in 29act.) RANK 21 NODE 32 --> 1.29507613 sigma out 1act.( 2.72982621 sig in 28act.) RANK 22 NODE 3 --> 1.26303744 sigma out 1act.( 2.6819427 sig in 29act.) RANK 23 NODE 28 --> 1.20028996 sigma out 1act.( 2.57095742 sig in 29act.) RANK 24 NODE 25 --> 1.09649599 sigma out 1act.( 2.38234663 sig in 29act.) RANK 25 NODE 9 --> 1.04419625 sigma out 1act.( 2.28626204 sig in 29act.) RANK 26 NODE 22 --> 0.962126195 sigma out 1act.( 2.13054681 sig in 29act.) RANK 27 NODE 18 --> 0.95763582 sigma out 1act.( 2.12338161 sig in 29act.) RANK 28 NODE 34 --> 0.930692255 sigma out 1act.( 2.06987906 sig in 29act.) RANK 29 NODE 15 --> 0.921529591 sigma out 1act.( 2.05875134 sig in 29act.) RANK 30 NODE 24 --> 0.916026533 sigma out 1act.( 2.04604173 sig in 29act.) RANK 31 NODE 27 --> 0.882964015 sigma out 1act.( 1.97796988 sig in 29act.) RANK 32 NODE 26 --> 0.822191715 sigma out 1act.( 1.86170244 sig in 29act.) RANK 33 NODE 33 --> 0.649888635 sigma out 1act.( 1.50575387 sig in 29act.) RANK 34 NODE 2 --> 0.589422762 sigma out 1act.( 1.37431622 sig in 29act.) RANK 35 NODE 14 --> 0.50722605 sigma out 1act.( 1.19444323 sig in 29act.) RANK 36 NODE 16 --> 0.318722129 sigma out 1act.( 0.767151952 sig in 29act.) RANK 37 NODE 10 --> 0.0768793672 sigma out 1act.( 0.179862499 sig in 19act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.2903214 sigma in 37 active inputs *********************************************** *** Learn Path 80 *** loss function: -0.504747987 *** contribution from regularisation: 0.00399524346 *** contribution from error: -0.508743227 *** contribution from DIAG: 0.003353009 *********************************************** --------------------------------------------------- Iteration : 81 WARNING in NB_TEACHER: limited eta to preset max. value *********************************************** *** Learn Path 81 *** loss function: -0.504630923 *** contribution from regularisation: 0.00411982648 *** contribution from error: -0.508750737 *** contribution from DIAG: 0.00356029323 *********************************************** --------------------------------------------------- Iteration : 82 kill weight from layer 1 knot 12 to knot 10 kill weight from layer 1 knot 23 to knot 10 kill weight from layer 1 knot 27 to knot 10 kill weight from layer 1 knot 34 to knot 10 *********************************************** *** Learn Path 82 *** loss function: -0.504710555 *** contribution from regularisation: 0.0040444131 *** contribution from error: -0.508754969 *** contribution from DIAG: 0.00330780866 *********************************************** --------------------------------------------------- Iteration : 83 kill weight from layer 1 knot 10 to knot 10 *********************************************** *** Learn Path 83 *** loss function: -0.504638374 *** contribution from regularisation: 0.00409645541 *** contribution from error: -0.508734822 *** contribution from DIAG: 0.00385370292 *********************************************** --------------------------------------------------- Iteration : 84 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 6 to knot 10 kill weight from layer 1 knot 8 to knot 10 kill weight from layer 1 knot 30 to knot 10 kill weight from layer 1 knot 2 to knot 16 *********************************************** *** Learn Path 84 *** loss function: -0.504687786 *** contribution from regularisation: 0.00409092102 *** contribution from error: -0.508778691 *** contribution from DIAG: 0.00338020944 *********************************************** --------------------------------------------------- Iteration : 85 kill weight from layer 1 knot 11 to knot 10 kill weight from layer 1 knot 22 to knot 10 kill weight from layer 1 knot 17 to knot 16 *********************************************** *** Learn Path 85 *** loss function: -0.50458616 *** contribution from regularisation: 0.0041589262 *** contribution from error: -0.508745074 *** contribution from DIAG: 0.0036913089 *********************************************** --------------------------------------------------- Iteration : 86 kill weight from layer 1 knot 5 to knot 10 kill weight from layer 1 knot 26 to knot 10 *********************************************** *** Learn Path 86 *** loss function: -0.504755914 *** contribution from regularisation: 0.00392583478 *** contribution from error: -0.508681774 *** contribution from DIAG: 0.00313614146 *********************************************** --------------------------------------------------- Iteration : 87 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 28 to knot 10 kill weight from layer 1 knot 29 to knot 10 kill weight from layer 1 knot 20 to knot 16 *********************************************** *** Learn Path 87 *** loss function: -0.504459381 *** contribution from regularisation: 0.00427088886 *** contribution from error: -0.508730292 *** contribution from DIAG: 0.00392619567 *********************************************** --------------------------------------------------- Iteration : 88 kill weight from layer 1 knot 2 to knot 2 kill weight from layer 1 knot 25 to knot 10 kill weight from layer 1 knot 33 to knot 10 kill weight from layer 1 knot 2 to knot 14 kill weight from layer 1 knot 13 to knot 16 *********************************************** *** Learn Path 88 *** loss function: -0.504800797 *** contribution from regularisation: 0.0039793998 *** contribution from error: -0.508780181 *** contribution from DIAG: 0.00319770351 *********************************************** --------------------------------------------------- Iteration : 89 kill weight from layer 1 knot 1 to knot 10 kill weight from layer 1 knot 19 to knot 16 *********************************************** *** Learn Path 89 *** loss function: -0.504361272 *** contribution from regularisation: 0.00432503643 *** contribution from error: -0.508686304 *** contribution from DIAG: 0.00352182589 *********************************************** --------------------------------------------------- Iteration : 90 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 17 to knot 2 kill weight from layer 1 knot 4 to knot 10 kill weight from layer 1 knot 31 to knot 10 kill weight from layer 1 knot 17 to knot 14 kill weight from layer 1 knot 24 to knot 16 kill weight from layer 1 knot 2 to knot 33 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 33 --> 11.0405931 sigma out 36 active outputs RANK 2 NODE 1 --> 9.58504105 sigma out 36 active outputs RANK 3 NODE 31 --> 8.06016445 sigma out 36 active outputs RANK 4 NODE 4 --> 7.69449282 sigma out 36 active outputs RANK 5 NODE 25 --> 6.23686838 sigma out 36 active outputs RANK 6 NODE 29 --> 5.61387634 sigma out 36 active outputs RANK 7 NODE 28 --> 5.12569809 sigma out 36 active outputs RANK 8 NODE 22 --> 4.83730602 sigma out 36 active outputs RANK 9 NODE 26 --> 4.77752161 sigma out 36 active outputs RANK 10 NODE 11 --> 4.34479666 sigma out 36 active outputs RANK 11 NODE 5 --> 4.22217941 sigma out 36 active outputs RANK 12 NODE 10 --> 4.05106068 sigma out 36 active outputs RANK 13 NODE 6 --> 3.95498943 sigma out 36 active outputs RANK 14 NODE 8 --> 3.87785864 sigma out 36 active outputs RANK 15 NODE 30 --> 3.55685759 sigma out 36 active outputs RANK 16 NODE 34 --> 3.26716065 sigma out 36 active outputs RANK 17 NODE 12 --> 3.05881286 sigma out 36 active outputs RANK 18 NODE 23 --> 3.01867366 sigma out 36 active outputs RANK 19 NODE 27 --> 2.65331459 sigma out 36 active outputs RANK 20 NODE 32 --> 2.41371369 sigma out 36 active outputs RANK 21 NODE 9 --> 2.34994817 sigma out 36 active outputs RANK 22 NODE 7 --> 2.13478303 sigma out 36 active outputs RANK 23 NODE 19 --> 1.80348432 sigma out 35 active outputs RANK 24 NODE 15 --> 1.73774266 sigma out 36 active outputs RANK 25 NODE 24 --> 1.55410266 sigma out 35 active outputs RANK 26 NODE 20 --> 1.40145051 sigma out 35 active outputs RANK 27 NODE 13 --> 1.29128993 sigma out 34 active outputs RANK 28 NODE 17 --> 0.856110573 sigma out 33 active outputs RANK 29 NODE 2 --> 0.739101768 sigma out 32 active outputs RANK 30 NODE 3 --> 0. sigma out 0 active outputs RANK 31 NODE 35 --> 0. sigma out 0 active outputs RANK 32 NODE 21 --> 0. sigma out 0 active outputs RANK 33 NODE 18 --> 0. sigma out 0 active outputs RANK 34 NODE 16 --> 0. sigma out 0 active outputs RANK 35 NODE 14 --> 0. sigma out 0 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 8.34619617 sigma in 29act. ( 5.39080763 sig out 1act.) RANK 2 NODE 35 --> 6.89899397 sigma in 29act. ( 4.20672369 sig out 1act.) RANK 3 NODE 36 --> 6.53483152 sigma in 29act. ( 3.90042019 sig out 1act.) RANK 4 NODE 29 --> 6.51706696 sigma in 29act. ( 3.93414593 sig out 1act.) RANK 5 NODE 31 --> 6.20478392 sigma in 29act. ( 3.64753675 sig out 1act.) RANK 6 NODE 7 --> 6.12386799 sigma in 29act. ( 3.56589055 sig out 1act.) RANK 7 NODE 12 --> 6.08177137 sigma in 29act. ( 3.59766173 sig out 1act.) RANK 8 NODE 8 --> 6.00399017 sigma in 29act. ( 3.48904252 sig out 1act.) RANK 9 NODE 23 --> 5.67689705 sigma in 29act. ( 3.32496166 sig out 1act.) RANK 10 NODE 13 --> 5.15039062 sigma in 29act. ( 2.88216591 sig out 1act.) RANK 11 NODE 21 --> 5.09542322 sigma in 29act. ( 2.83929038 sig out 1act.) RANK 12 NODE 4 --> 4.83372927 sigma in 29act. ( 2.66362906 sig out 1act.) RANK 13 NODE 37 --> 4.43633747 sigma in 29act. ( 2.37426186 sig out 1act.) RANK 14 NODE 5 --> 4.26598167 sigma in 29act. ( 2.28175759 sig out 1act.) RANK 15 NODE 19 --> 4.1908679 sigma in 29act. ( 2.19607186 sig out 1act.) RANK 16 NODE 20 --> 3.69774747 sigma in 29act. ( 1.8739084 sig out 1act.) RANK 17 NODE 17 --> 3.65636659 sigma in 29act. ( 1.85147297 sig out 1act.) RANK 18 NODE 30 --> 3.62850475 sigma in 29act. ( 1.83871639 sig out 1act.) RANK 19 NODE 11 --> 3.15250111 sigma in 29act. ( 1.53278625 sig out 1act.) RANK 20 NODE 1 --> 2.7938931 sigma in 29act. ( 1.31995225 sig out 1act.) RANK 21 NODE 32 --> 2.77262664 sigma in 28act. ( 1.31446803 sig out 1act.) RANK 22 NODE 3 --> 2.73219943 sigma in 29act. ( 1.28649962 sig out 1act.) RANK 23 NODE 28 --> 2.62260294 sigma in 29act. ( 1.22335386 sig out 1act.) RANK 24 NODE 25 --> 2.42515373 sigma in 29act. ( 1.11384475 sig out 1act.) RANK 25 NODE 9 --> 2.33084607 sigma in 29act. ( 1.06154263 sig out 1act.) RANK 26 NODE 22 --> 2.17452502 sigma in 29act. ( 0.977764487 sig out 1act.) RANK 27 NODE 18 --> 2.1642468 sigma in 29act. ( 0.972113132 sig out 1act.) RANK 28 NODE 34 --> 2.11394811 sigma in 29act. ( 0.945828259 sig out 1act.) RANK 29 NODE 15 --> 2.09081793 sigma in 29act. ( 0.932420611 sig out 1act.) RANK 30 NODE 24 --> 2.08151102 sigma in 29act. ( 0.927980006 sig out 1act.) RANK 31 NODE 27 --> 2.01898503 sigma in 29act. ( 0.896200061 sig out 1act.) RANK 32 NODE 26 --> 1.89675093 sigma in 29act. ( 0.832675993 sig out 1act.) RANK 33 NODE 33 --> 1.53793252 sigma in 28act. ( 0.657305121 sig out 1act.) RANK 34 NODE 2 --> 1.40463412 sigma in 27act. ( 0.595777273 sig out 1act.) RANK 35 NODE 14 --> 1.22166252 sigma in 27act. ( 0.511898935 sig out 1act.) RANK 36 NODE 16 --> 0.776428342 sigma in 23act. ( 0.320441216 sig out 1act.) RANK 37 NODE 10 --> 0. sigma in 0act. ( 0.0759164691 sig out 1act.) sorted by output significance RANK 1 NODE 6 --> 5.39080763 sigma out 1act.( 8.34619617 sig in 29act.) RANK 2 NODE 35 --> 4.20672369 sigma out 1act.( 6.89899397 sig in 29act.) RANK 3 NODE 29 --> 3.93414593 sigma out 1act.( 6.51706696 sig in 29act.) RANK 4 NODE 36 --> 3.90042019 sigma out 1act.( 6.53483152 sig in 29act.) RANK 5 NODE 31 --> 3.64753675 sigma out 1act.( 6.20478392 sig in 29act.) RANK 6 NODE 12 --> 3.59766173 sigma out 1act.( 6.08177137 sig in 29act.) RANK 7 NODE 7 --> 3.56589055 sigma out 1act.( 6.12386799 sig in 29act.) RANK 8 NODE 8 --> 3.48904252 sigma out 1act.( 6.00399017 sig in 29act.) RANK 9 NODE 23 --> 3.32496166 sigma out 1act.( 5.67689705 sig in 29act.) RANK 10 NODE 13 --> 2.88216591 sigma out 1act.( 5.15039062 sig in 29act.) RANK 11 NODE 21 --> 2.83929038 sigma out 1act.( 5.09542322 sig in 29act.) RANK 12 NODE 4 --> 2.66362906 sigma out 1act.( 4.83372927 sig in 29act.) RANK 13 NODE 37 --> 2.37426186 sigma out 1act.( 4.43633747 sig in 29act.) RANK 14 NODE 5 --> 2.28175759 sigma out 1act.( 4.26598167 sig in 29act.) RANK 15 NODE 19 --> 2.19607186 sigma out 1act.( 4.1908679 sig in 29act.) RANK 16 NODE 20 --> 1.8739084 sigma out 1act.( 3.69774747 sig in 29act.) RANK 17 NODE 17 --> 1.85147297 sigma out 1act.( 3.65636659 sig in 29act.) RANK 18 NODE 30 --> 1.83871639 sigma out 1act.( 3.62850475 sig in 29act.) RANK 19 NODE 11 --> 1.53278625 sigma out 1act.( 3.15250111 sig in 29act.) RANK 20 NODE 1 --> 1.31995225 sigma out 1act.( 2.7938931 sig in 29act.) RANK 21 NODE 32 --> 1.31446803 sigma out 1act.( 2.77262664 sig in 28act.) RANK 22 NODE 3 --> 1.28649962 sigma out 1act.( 2.73219943 sig in 29act.) RANK 23 NODE 28 --> 1.22335386 sigma out 1act.( 2.62260294 sig in 29act.) RANK 24 NODE 25 --> 1.11384475 sigma out 1act.( 2.42515373 sig in 29act.) RANK 25 NODE 9 --> 1.06154263 sigma out 1act.( 2.33084607 sig in 29act.) RANK 26 NODE 22 --> 0.977764487 sigma out 1act.( 2.17452502 sig in 29act.) RANK 27 NODE 18 --> 0.972113132 sigma out 1act.( 2.1642468 sig in 29act.) RANK 28 NODE 34 --> 0.945828259 sigma out 1act.( 2.11394811 sig in 29act.) RANK 29 NODE 15 --> 0.932420611 sigma out 1act.( 2.09081793 sig in 29act.) RANK 30 NODE 24 --> 0.927980006 sigma out 1act.( 2.08151102 sig in 29act.) RANK 31 NODE 27 --> 0.896200061 sigma out 1act.( 2.01898503 sig in 29act.) RANK 32 NODE 26 --> 0.832675993 sigma out 1act.( 1.89675093 sig in 29act.) RANK 33 NODE 33 --> 0.657305121 sigma out 1act.( 1.53793252 sig in 28act.) RANK 34 NODE 2 --> 0.595777273 sigma out 1act.( 1.40463412 sig in 27act.) RANK 35 NODE 14 --> 0.511898935 sigma out 1act.( 1.22166252 sig in 27act.) RANK 36 NODE 16 --> 0.320441216 sigma out 1act.( 0.776428342 sig in 23act.) RANK 37 NODE 10 --> 0.0759164691 sigma out 1act.( 0. sig in 0act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.4086456 sigma in 37 active inputs *********************************************** *** Learn Path 90 *** loss function: -0.504704237 *** contribution from regularisation: 0.00405184226 *** contribution from error: -0.508756101 *** contribution from DIAG: 0.00316430675 *********************************************** --------------------------------------------------- Iteration : 91 kill weight from layer 1 knot 20 to knot 14 *********************************************** *** Learn Path 91 *** loss function: -0.504605293 *** contribution from regularisation: 0.00417173328 *** contribution from error: -0.508777022 *** contribution from DIAG: 0.00342213595 *********************************************** --------------------------------------------------- Iteration : 92 kill weight from layer 1 knot 2 to knot 15 kill weight from layer 1 knot 7 to knot 16 kill weight from layer 1 knot 15 to knot 16 kill weight from layer 1 knot 2 to knot 24 kill weight from layer 1 knot 2 to knot 26 kill weight from layer 1 knot 2 to knot 27 kill weight from layer 1 knot 17 to knot 33 *********************************************** *** Learn Path 92 *** loss function: -0.504709542 *** contribution from regularisation: 0.00407068525 *** contribution from error: -0.508780241 *** contribution from DIAG: 0.0032828371 *********************************************** --------------------------------------------------- Iteration : 93 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 20 to knot 2 kill weight from layer 1 knot 13 to knot 14 *********************************************** *** Learn Path 93 *** loss function: -0.504615784 *** contribution from regularisation: 0.00416476279 *** contribution from error: -0.508780539 *** contribution from DIAG: 0.00349803944 *********************************************** --------------------------------------------------- Iteration : 94 kill weight from layer 1 knot 2 to knot 1 kill weight from layer 1 knot 13 to knot 2 kill weight from layer 1 knot 2 to knot 3 kill weight from layer 1 knot 2 to knot 9 kill weight from layer 1 knot 17 to knot 9 kill weight from layer 1 knot 17 to knot 15 kill weight from layer 1 knot 9 to knot 16 kill weight from layer 1 knot 32 to knot 16 kill weight from layer 1 knot 2 to knot 18 kill weight from layer 1 knot 17 to knot 18 kill weight from layer 1 knot 2 to knot 22 kill weight from layer 1 knot 17 to knot 22 kill weight from layer 1 knot 17 to knot 24 kill weight from layer 1 knot 2 to knot 25 kill weight from layer 1 knot 17 to knot 25 kill weight from layer 1 knot 17 to knot 26 kill weight from layer 1 knot 17 to knot 27 kill weight from layer 1 knot 2 to knot 28 kill weight from layer 1 knot 2 to knot 32 kill weight from layer 1 knot 2 to knot 34 kill weight from layer 1 knot 17 to knot 34 *********************************************** *** Learn Path 94 *** loss function: -0.504768133 *** contribution from regularisation: 0.00398419332 *** contribution from error: -0.508752346 *** contribution from DIAG: 0.00323638576 *********************************************** --------------------------------------------------- Iteration : 95 kill weight from layer 1 knot 19 to knot 14 kill weight from layer 1 knot 24 to knot 14 kill weight from layer 1 knot 20 to knot 26 kill weight from layer 1 knot 20 to knot 33 *********************************************** *** Learn Path 95 *** loss function: -0.504543841 *** contribution from regularisation: 0.00423135189 *** contribution from error: -0.508775175 *** contribution from DIAG: 0.00353176147 *********************************************** --------------------------------------------------- Iteration : 96 WARNING in NB_TEACHER: limited eta to preset max. value kill weight from layer 1 knot 15 to knot 14 kill weight from layer 1 knot 27 to knot 16 kill weight from layer 1 knot 34 to knot 16 kill weight from layer 1 knot 17 to knot 28 kill weight from layer 1 knot 13 to knot 33 *********************************************** *** Learn Path 96 *** loss function: -0.504799783 *** contribution from regularisation: 0.00398882804 *** contribution from error: -0.508788586 *** contribution from DIAG: 0.00334442989 *********************************************** --------------------------------------------------- Iteration : 97 *********************************************** *** Learn Path 97 *** loss function: -0.504571915 *** contribution from regularisation: 0.00419656839 *** contribution from error: -0.508768499 *** contribution from DIAG: 0.00339300535 *********************************************** --------------------------------------------------- Iteration : 98 kill weight from layer 1 knot 17 to knot 3 kill weight from layer 1 knot 7 to knot 14 *********************************************** *** Learn Path 98 *** loss function: -0.504745424 *** contribution from regularisation: 0.0040447521 *** contribution from error: -0.508790195 *** contribution from DIAG: 0.00335804466 *********************************************** --------------------------------------------------- Iteration : 99 WARNING in NB_TEACHER: limited eta to preset max. value *********************************************** *** Learn Path 99 *** loss function: -0.504702091 *** contribution from regularisation: 0.00407387735 *** contribution from error: -0.508775949 *** contribution from DIAG: 0.00351798744 *********************************************** --------------------------------------------------- Iteration : 100 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 33 --> 11.4218073 sigma out 36 active outputs RANK 2 NODE 1 --> 8.32719803 sigma out 36 active outputs RANK 3 NODE 4 --> 8.02778721 sigma out 36 active outputs RANK 4 NODE 31 --> 7.81586075 sigma out 36 active outputs RANK 5 NODE 25 --> 6.61904192 sigma out 36 active outputs RANK 6 NODE 29 --> 5.67491436 sigma out 36 active outputs RANK 7 NODE 28 --> 5.4908824 sigma out 36 active outputs RANK 8 NODE 5 --> 5.10289097 sigma out 36 active outputs RANK 9 NODE 26 --> 4.97121859 sigma out 36 active outputs RANK 10 NODE 11 --> 4.76317883 sigma out 36 active outputs RANK 11 NODE 22 --> 4.21962261 sigma out 36 active outputs RANK 12 NODE 6 --> 3.96131611 sigma out 36 active outputs RANK 13 NODE 8 --> 3.85354543 sigma out 36 active outputs RANK 14 NODE 10 --> 3.72395277 sigma out 36 active outputs RANK 15 NODE 12 --> 3.55027032 sigma out 36 active outputs RANK 16 NODE 30 --> 3.47097683 sigma out 36 active outputs RANK 17 NODE 23 --> 2.98842049 sigma out 36 active outputs RANK 18 NODE 27 --> 2.65262175 sigma out 35 active outputs RANK 19 NODE 32 --> 2.62213016 sigma out 35 active outputs RANK 20 NODE 34 --> 2.62089586 sigma out 35 active outputs RANK 21 NODE 9 --> 2.36711264 sigma out 35 active outputs RANK 22 NODE 19 --> 1.77131069 sigma out 34 active outputs RANK 23 NODE 7 --> 1.68893957 sigma out 34 active outputs RANK 24 NODE 15 --> 1.62703454 sigma out 34 active outputs RANK 25 NODE 24 --> 1.57424748 sigma out 34 active outputs RANK 26 NODE 13 --> 1.31273186 sigma out 31 active outputs RANK 27 NODE 20 --> 1.18279386 sigma out 31 active outputs RANK 28 NODE 17 --> 0.877644956 sigma out 21 active outputs RANK 29 NODE 2 --> 0.756649137 sigma out 19 active outputs RANK 30 NODE 3 --> 0. sigma out 0 active outputs RANK 31 NODE 35 --> 0. sigma out 0 active outputs RANK 32 NODE 21 --> 0. sigma out 0 active outputs RANK 33 NODE 18 --> 0. sigma out 0 active outputs RANK 34 NODE 16 --> 0. sigma out 0 active outputs RANK 35 NODE 14 --> 0. sigma out 0 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 6 --> 8.36036587 sigma in 29act. ( 5.34934711 sig out 1act.) RANK 2 NODE 35 --> 6.90409899 sigma in 29act. ( 4.18768883 sig out 1act.) RANK 3 NODE 36 --> 6.56611872 sigma in 29act. ( 3.9092536 sig out 1act.) RANK 4 NODE 29 --> 6.52522755 sigma in 29act. ( 3.91527462 sig out 1act.) RANK 5 NODE 31 --> 6.23420906 sigma in 29act. ( 3.65941215 sig out 1act.) RANK 6 NODE 7 --> 6.16557837 sigma in 29act. ( 3.59221816 sig out 1act.) RANK 7 NODE 12 --> 6.06630707 sigma in 29act. ( 3.56993151 sig out 1act.) RANK 8 NODE 8 --> 6.03426886 sigma in 29act. ( 3.50613284 sig out 1act.) RANK 9 NODE 23 --> 5.66440153 sigma in 29act. ( 3.29303932 sig out 1act.) RANK 10 NODE 13 --> 5.15620518 sigma in 29act. ( 2.88626122 sig out 1act.) RANK 11 NODE 21 --> 5.10186243 sigma in 29act. ( 2.84567189 sig out 1act.) RANK 12 NODE 4 --> 4.8325491 sigma in 29act. ( 2.66401339 sig out 1act.) RANK 13 NODE 37 --> 4.43565273 sigma in 29act. ( 2.38217521 sig out 1act.) RANK 14 NODE 5 --> 4.24419117 sigma in 29act. ( 2.26897168 sig out 1act.) RANK 15 NODE 19 --> 4.19454288 sigma in 29act. ( 2.21223283 sig out 1act.) RANK 16 NODE 20 --> 3.69357944 sigma in 29act. ( 1.8868438 sig out 1act.) RANK 17 NODE 17 --> 3.64916849 sigma in 29act. ( 1.86104488 sig out 1act.) RANK 18 NODE 30 --> 3.61551571 sigma in 29act. ( 1.84286559 sig out 1act.) RANK 19 NODE 11 --> 3.14252043 sigma in 29act. ( 1.54362082 sig out 1act.) RANK 20 NODE 1 --> 2.75659323 sigma in 28act. ( 1.3129307 sig out 1act.) RANK 21 NODE 32 --> 2.75096393 sigma in 27act. ( 1.31750953 sig out 1act.) RANK 22 NODE 3 --> 2.71180487 sigma in 27act. ( 1.29312539 sig out 1act.) RANK 23 NODE 28 --> 2.60271549 sigma in 27act. ( 1.23039067 sig out 1act.) RANK 24 NODE 25 --> 2.40184808 sigma in 27act. ( 1.11741948 sig out 1act.) RANK 25 NODE 9 --> 2.3084383 sigma in 27act. ( 1.06595564 sig out 1act.) RANK 26 NODE 22 --> 2.15253973 sigma in 27act. ( 0.981742799 sig out 1act.) RANK 27 NODE 18 --> 2.14107013 sigma in 27act. ( 0.975201309 sig out 1act.) RANK 28 NODE 34 --> 2.09232044 sigma in 27act. ( 0.949845791 sig out 1act.) RANK 29 NODE 15 --> 2.06453872 sigma in 27act. ( 0.933210194 sig out 1act.) RANK 30 NODE 24 --> 2.05666256 sigma in 27act. ( 0.929605007 sig out 1act.) RANK 31 NODE 27 --> 1.99673879 sigma in 27act. ( 0.899233103 sig out 1act.) RANK 32 NODE 26 --> 1.87015522 sigma in 26act. ( 0.834242046 sig out 1act.) RANK 33 NODE 33 --> 1.51271641 sigma in 25act. ( 0.65848875 sig out 1act.) RANK 34 NODE 2 --> 1.38232791 sigma in 25act. ( 0.59682554 sig out 1act.) RANK 35 NODE 14 --> 1.18576217 sigma in 21act. ( 0.512581348 sig out 1act.) RANK 36 NODE 16 --> 0.736408472 sigma in 17act. ( 0.319787413 sig out 1act.) RANK 37 NODE 10 --> 0. sigma in 0act. ( 0. sig out 0act.) sorted by output significance RANK 1 NODE 6 --> 5.34934711 sigma out 1act.( 8.36036587 sig in 29act.) RANK 2 NODE 35 --> 4.18768883 sigma out 1act.( 6.90409899 sig in 29act.) RANK 3 NODE 29 --> 3.91527462 sigma out 1act.( 6.52522755 sig in 29act.) RANK 4 NODE 36 --> 3.9092536 sigma out 1act.( 6.56611872 sig in 29act.) RANK 5 NODE 31 --> 3.65941215 sigma out 1act.( 6.23420906 sig in 29act.) RANK 6 NODE 7 --> 3.59221816 sigma out 1act.( 6.16557837 sig in 29act.) RANK 7 NODE 12 --> 3.56993151 sigma out 1act.( 6.06630707 sig in 29act.) RANK 8 NODE 8 --> 3.50613284 sigma out 1act.( 6.03426886 sig in 29act.) RANK 9 NODE 23 --> 3.29303932 sigma out 1act.( 5.66440153 sig in 29act.) RANK 10 NODE 13 --> 2.88626122 sigma out 1act.( 5.15620518 sig in 29act.) RANK 11 NODE 21 --> 2.84567189 sigma out 1act.( 5.10186243 sig in 29act.) RANK 12 NODE 4 --> 2.66401339 sigma out 1act.( 4.8325491 sig in 29act.) RANK 13 NODE 37 --> 2.38217521 sigma out 1act.( 4.43565273 sig in 29act.) RANK 14 NODE 5 --> 2.26897168 sigma out 1act.( 4.24419117 sig in 29act.) RANK 15 NODE 19 --> 2.21223283 sigma out 1act.( 4.19454288 sig in 29act.) RANK 16 NODE 20 --> 1.8868438 sigma out 1act.( 3.69357944 sig in 29act.) RANK 17 NODE 17 --> 1.86104488 sigma out 1act.( 3.64916849 sig in 29act.) RANK 18 NODE 30 --> 1.84286559 sigma out 1act.( 3.61551571 sig in 29act.) RANK 19 NODE 11 --> 1.54362082 sigma out 1act.( 3.14252043 sig in 29act.) RANK 20 NODE 32 --> 1.31750953 sigma out 1act.( 2.75096393 sig in 27act.) RANK 21 NODE 1 --> 1.3129307 sigma out 1act.( 2.75659323 sig in 28act.) RANK 22 NODE 3 --> 1.29312539 sigma out 1act.( 2.71180487 sig in 27act.) RANK 23 NODE 28 --> 1.23039067 sigma out 1act.( 2.60271549 sig in 27act.) RANK 24 NODE 25 --> 1.11741948 sigma out 1act.( 2.40184808 sig in 27act.) RANK 25 NODE 9 --> 1.06595564 sigma out 1act.( 2.3084383 sig in 27act.) RANK 26 NODE 22 --> 0.981742799 sigma out 1act.( 2.15253973 sig in 27act.) RANK 27 NODE 18 --> 0.975201309 sigma out 1act.( 2.14107013 sig in 27act.) RANK 28 NODE 34 --> 0.949845791 sigma out 1act.( 2.09232044 sig in 27act.) RANK 29 NODE 15 --> 0.933210194 sigma out 1act.( 2.06453872 sig in 27act.) RANK 30 NODE 24 --> 0.929605007 sigma out 1act.( 2.05666256 sig in 27act.) RANK 31 NODE 27 --> 0.899233103 sigma out 1act.( 1.99673879 sig in 27act.) RANK 32 NODE 26 --> 0.834242046 sigma out 1act.( 1.87015522 sig in 26act.) RANK 33 NODE 33 --> 0.65848875 sigma out 1act.( 1.51271641 sig in 25act.) RANK 34 NODE 2 --> 0.59682554 sigma out 1act.( 1.38232791 sig in 25act.) RANK 35 NODE 14 --> 0.512581348 sigma out 1act.( 1.18576217 sig in 21act.) RANK 36 NODE 16 --> 0.319787413 sigma out 1act.( 0.736408472 sig in 17act.) RANK 37 NODE 10 --> 0. sigma out 0act.( 0. sig in 0act.) SIGNIFICANCE OF INPUTS TO LAYER 3 RANK 1 NODE 1 --> 14.395402 sigma in 36 active inputs *********************************************** *** Learn Path 100 *** loss function: -0.504753947 *** contribution from regularisation: 0.00403778022 *** contribution from error: -0.508791745 *** contribution from DIAG: 0.00321358279 *********************************************** -----------------> Test sample Sum of Weights for output node 2 61409. FLAT2DEF: TAB(KK=1, II= 2) = -10.5329266 create test 22 plots 9100/9200: 2 END OF LEARNING , export EXPERTISE WRITE NETWORK WEIGHTS TO EXPERTISE SAVING EXPERTISE TO GlobalPID_Muon_Downstream_NeuroBayes.conf NB_AHISTOUT: storage space 206947 Training Complete :) Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/ENTROPY/NOBFGS/622/Muon/Downstream/GlobalPID_Muon_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/NOBFGS/622/Muon/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/NOBFGS/622/Muon/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/NOBFGS/622/Muon/Downstream/NB.txt Training Host = lxplus437.cern.ch Particle type = muon Background types = all Training Mix = NaturalMix Track type = Downstream Track PresSel = TrackPreSelIsMuon 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_Muon_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 32 nodes, hidden layer has 37 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 = NOBFGS NB_DEF_PRE = 622 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%) Read entry 5892912 (60%) Read entry 6875064 (70%) Read entry 7857216 (79.9999%) Read entry 8839368 (89.9999%) Read entry 9821520 (99.9999%) Considered 9821527 tracks for input to NN training Sel. Eff. = 0.625249% Selected 61409 tracks for input to NN training ghost percentage = 63.6112% electron percentage = 6.0154% muon percentage = 9.9448% pion percentage = 16.1686% kaon percentage = 2.77972% proton percentage = 1.47535% Unknown Particle type 3112 percentage = 0.00162843% Unknown Particle type 3222 percentage = 0.00162843% Unknown Particle type 3312 percentage = 0.00162843% 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 MuonBkgLL Making plots for input MuonMuLL 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 InAccPrs 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 31 input variables. ***************Training results***************** number of nodes in the 1st layer: 35 number of nodes in the 2nd layer: 37 number of nodes in the 3rd layer: 1 number of iterations: 100