Training in /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/GlobalPID_Electron_Upstream_ANN.txt Training parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/train-config.txt Input Data file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/datafiles.txt Neurobayes parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/NB.txt Training Host = lxplus432.cern.ch Particle type = electron Background types = all Training Mix = NaturalMix Track type = Upstream Track PresSel = TrackPreSelNone Network type = NeuroBayes Ghost treatment = Ghosts Ghosts Min P = 0 MeV/c Min Pt = 0 MeV/c Max Chi^2 = 10 Min likelihood = -100 Max Ghost Prob = 1 Output file = GlobalPID_Electron_Upstream_NeuroBayes.conf Skipping input #RichUsedR2Gas 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 23 nodes, hidden layer has 26 nodes NB_DEF_TASK = CLA NB_DEF_MOM = 0 NB_DEF_REG = ALL NB_DEF_LOSS = ENTROPY NB_DEF_METHOD = BFGS NB_DEF_SHAPE = DIAG NB_DEF_LEARNDIAG = 1 NB_DEF_PRE = 621 ********************************************* * This product is licenced for educational * * and scientific use only. Commercial use * * is prohibited ! * ********************************************* Your number of nodes in the input layer is: 23 Your number of nodes in the hidden layer is: 26 Your number of nodes in the output layer is: 1 You want to do classification You want to fix prepro shape to 6. order (DIA) and transform each node to diagonal You want to use fit alternative 2 for diag fit You use ASR+ARD for regularisation You use entropy as a loss function You want to use the BFGS algorithm You want to include the deviation from the diagonal in the error function global preprocessing flag: 621 You want to use the global preprocessing flag 21 You use momentum: 0.0000000 Input 2 NumProtoParticles PreproFlag 19 Input 3 TrackP PreproFlag 34 Input 4 TrackPt PreproFlag 34 Input 5 TrackChi2PerDof PreproFlag 14 Input 6 TrackNumDof PreproFlag 19 Input 7 TrackLikelihood PreproFlag 34 Input 8 TrackGhostProbability PreproFlag 34 Input 9 TrackCloneDist PreproFlag 34 Input 10 TrackFitVeloChi2 PreproFlag 14 Input 11 TrackFitVeloNDoF PreproFlag 19 Input 12 RichUsedAero PreproFlag 18 Input 13 RichUsedR1Gas PreproFlag 18 Input 14 RichAboveMuThres PreproFlag 18 Input 15 RichAboveKaThres PreproFlag 18 Input 16 RichDLLe PreproFlag 34 Input 17 RichDLLmu PreproFlag 34 Input 18 RichDLLk PreproFlag 34 Input 19 RichDLLp PreproFlag 34 Input 20 RichDLLbt PreproFlag 34 Input 21 InAccBrem PreproFlag 19 Input 22 BremPIDe PreproFlag 34 Input 23 VeloCharge PreproFlag 34 Attempting to open training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.1.root Found 9821527 training data points Read entry 982152 (9.99999%) Read entry 1964304 (20%) Read entry 2946456 (30%) Read entry 3928608 (40%) Read entry 4910760 (50%) Considered 5157981 tracks for input to NN training Sel. Eff. = 19.3874% Selected 1000000 tracks for input to NN training ghost percentage = 29.8513% electron percentage = 5.7412% muon percentage = 0.3947% pion percentage = 53.654% kaon percentage = 7.2871% proton percentage = 2.972% Unknown Particle type 3112 percentage = 0.034% Unknown Particle type 3222 percentage = 0.0368% Unknown Particle type 3312 percentage = 0.0106% Unknown Particle type 3334 percentage = 0.0002% Unknown Particle type 1000010020 percentage = 0.0022% Unknown Particle type 1000010030 percentage = 0.0027% Unknown Particle type 1000020040 percentage = 0.0132% Starting Training. << hh tt >> << hh ii tt >> << hh tttttt >> << ppppp hhhhhh ii tt >> << pp pp hhh hh ii ----- tt >> << pp pp hh hh ii ----- tt >> << ppppp hh hh ii tt >> pp pp ////////////////////////////// pp \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Phi-T(R) NeuroBayes(R) Teacher Algorithms by Michael Feindt Implementation by Phi-T GmbH 2001-2011 Copyright Phi-T GmbH Version 20120322 Library compiled with: Number of Events= 1000000 NB_MAXNODE = 150 ----------------------------------- preprocessing flags/parameters: individual preprocessing: variable # 2 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 3 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 4 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 5 : PreproFlag = 14 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 6 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 7 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 8 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 9 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 10 : PreproFlag = 14 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 11 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 12 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 13 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 14 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 15 : PreproFlag = 18 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 16 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 17 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 18 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 19 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 20 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 21 : PreproFlag = 19 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 22 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 variable # 23 : PreproFlag = 34 parameter # 1 = 0.0000000 parameter # 2 = 0.0000000 parameter # 3 = 0.0000000 parameter # 4 = 0.0000000 parameter # 5 = 0.0000000 parameter # 6 = 0.0000000 parameter # 7 = 0.0000000 parameter # 8 = 0.0000000 parameter # 9 = 0.0000000 parameter # 10 = 0.0000000 Using weight factor: 1.00000000000000000 now perform preprocessing *** called with option 21 *** This will do for you: *** input variable equalisation *** to flat distribution with mean=0 and sigma=1 *** Then variables are decorrelated *** and rotated that all correlation to performance is in 2. input node Signal fraction: 5.7412000 % ------------------------------ Transdef: Tab for variable 1 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 -1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 ------------------------------ Transdef: Tab for variable 2 1.00000000 15.000000 19.000000 22.000000 24.000000 26.000000 28.000000 29.000000 31.000000 32.000000 33.000000 35.000000 36.000000 37.000000 38.000000 39.000000 40.000000 41.000000 42.000000 43.000000 44.000000 45.000000 46.000000 47.000000 48.000000 49.000000 50.000000 51.000000 51.000000 52.000000 53.000000 54.000000 55.000000 56.000000 57.000000 57.000000 58.000000 59.000000 60.000000 61.000000 62.000000 63.000000 64.000000 64.000000 65.000000 66.000000 67.000000 68.000000 69.000000 70.000000 71.000000 71.000000 72.000000 73.000000 74.000000 75.000000 76.000000 77.000000 78.000000 79.000000 80.000000 81.000000 82.000000 83.000000 84.000000 85.000000 86.000000 87.000000 89.000000 90.000000 91.000000 92.000000 93.000000 94.000000 96.000000 97.000000 98.000000 100.000000 101.00000 103.00000 105.00000 106.00000 108.00000 110.00000 112.00000 114.00000 116.00000 118.00000 120.00000 122.00000 125.00000 128.00000 131.00000 135.00000 139.00000 143.00000 149.00000 156.00000 166.00000 185.00000 435.00000 build map for variable # 2 NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 258.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 259.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 260.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 272.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 273.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 274.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 275.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 277.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 285.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 286.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 287.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 288.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 306.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 320.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 321.00000 Unregularised mean is returned NB_MapRegMean: WARNING Variance of mean targets is zero in map id 2 for key 325.00000 Unregularised mean is returned ------------------------------ Transdef: Tab for variable 3 58.680000 526.96497 582.92999 624.14502 659.03998 689.89001 717.73499 743.58002 767.85498 791.13000 813.00500 834.52002 855.85999 877.09003 897.47998 917.97998 938.15002 957.97998 977.71002 997.29999 1016.9000 1036.1000 1055.4700 1075.0649 1094.1250 1113.6600 1133.1300 1152.5500 1172.4449 1192.2500 1212.3950 1232.2200 1252.1200 1272.8400 1293.5300 1314.6899 1336.1350 1358.1300 1379.8500 1402.1300 1424.7500 1447.8350 1471.3300 1494.9301 1519.1650 1544.0300 1569.4449 1595.3900 1621.9500 1649.1300 1676.4600 1704.3950 1733.6100 1762.8500 1793.6300 1825.6700 1858.4700 1892.6050 1927.6100 1963.3101 2001.3500 2040.7400 2081.4600 2124.5901 2169.4048 2216.1399 2265.2400 2317.6001 2372.5901 2429.9150 2491.2651 2556.3550 2627.1899 2703.1851 2785.2500 2874.4700 2971.0249 3077.2100 3195.1599 3323.9448 3467.0649 3627.2800 3811.3401 4023.6699 4262.9053 4539.0146 4869.8496 5245.7451 5693.2251 6233.3101 6872.2949 7639.9302 8567.9043 9715.3203 11142.380 12968.955 15317.145 18586.119 23868.301 35725.090 4692808.5 do regularised spline fit for input variable # 3 build map for variable # 3 warning: map is empty for variable 3 ------------------------------ Transdef: Tab for variable 4 1.4529564 19.393406 25.347771 30.138290 34.295181 38.177200 41.901539 45.490814 48.993488 52.497444 55.944008 59.399734 62.848503 66.259216 69.746872 73.239594 76.737373 80.280212 83.826935 87.500458 91.125488 94.831635 98.513466 102.27978 106.02676 109.85391 113.70630 117.64408 121.59163 125.53583 129.51743 133.56067 137.70305 141.79976 145.98279 150.11270 154.28169 158.56285 162.89963 167.30032 171.73338 176.26315 180.78110 185.39835 189.99487 194.69159 199.40947 204.35379 209.24290 214.26987 219.27074 224.44843 229.76028 235.16861 240.72154 246.34766 252.10883 258.00284 264.03937 270.23950 276.63342 283.08337 289.86542 296.84149 303.99811 311.48749 319.01450 326.85330 334.95044 343.42450 352.10278 361.12589 370.40350 380.06937 390.22968 400.55109 411.27689 422.91962 434.94330 447.66553 460.89816 474.91199 489.59485 505.22214 522.13837 540.73596 561.38550 583.81793 608.40222 635.68848 666.84912 703.00555 745.67804 796.14014 857.43201 936.39063 1043.1709 1201.7396 1480.2969 2219.4883 931746.00 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 6.62988052E-04 0.15283993 0.20368648 0.24066587 0.27110863 0.29757684 0.32113993 0.34298998 0.36314243 0.38201052 0.40026611 0.41763625 0.43420500 0.45043847 0.46580982 0.48102701 0.49550441 0.50983214 0.52371812 0.53749859 0.55104184 0.56430870 0.57758939 0.59049815 0.60332716 0.61602128 0.62840664 0.64092797 0.65325910 0.66548741 0.67757142 0.68986392 0.70198655 0.71421599 0.72641957 0.73840863 0.75048280 0.76263690 0.77501929 0.78721642 0.79928756 0.81154883 0.82384288 0.83643949 0.84903514 0.86162007 0.87426460 0.88701469 0.89984894 0.91282380 0.92595899 0.93923867 0.95264661 0.96629679 0.98012435 0.99407464 1.0081265 1.0229893 1.0375476 1.0524828 1.0676655 1.0831137 1.0985854 1.1150478 1.1317945 1.1485651 1.1660211 1.1836259 1.2018901 1.2207979 1.2402978 1.2600670 1.2803154 1.3018956 1.3240595 1.3466423 1.3706303 1.3951443 1.4213696 1.4485202 1.4765112 1.5065317 1.5383320 1.5715793 1.6070089 1.6453626 1.6864073 1.7305436 1.7790353 1.8322845 1.8903537 1.9560347 2.0299864 2.1149840 2.2140799 2.3338537 2.4810252 2.6726329 2.9505281 3.4252951 9.9880199 do regularised spline fit for input variable # 5 ------------------------------ Transdef: Tab for variable 6 2.0000000 4.0000000 4.0000000 4.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 10.0000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 12.000000 12.000000 12.000000 12.000000 12.000000 12.000000 12.000000 13.000000 13.000000 13.000000 13.000000 13.000000 13.000000 13.000000 13.000000 14.000000 14.000000 14.000000 14.000000 15.000000 15.000000 15.000000 15.000000 15.000000 16.000000 16.000000 17.000000 17.000000 19.000000 30.000000 build map for variable # 6 ------------------------------ Transdef: Tab for variable 7 -99.538857 -25.591740 -20.373819 -16.928059 -14.505074 -12.898694 -11.758835 -10.887481 -10.168745 -9.5885687 -9.1115847 -8.6990738 -8.3240604 -8.0146294 -7.7229080 -7.4423461 -7.1781807 -6.9316931 -6.7065139 -6.4978895 -6.3023748 -6.1208510 -5.9566121 -5.8018761 -5.6602974 -5.5221758 -5.3926930 -5.2693977 -5.1469693 -5.0255966 -4.9030962 -4.7896242 -4.6887579 -4.5955563 -4.5098476 -4.4303942 -4.3494129 -4.2706351 -4.1926994 -4.1169930 -4.0280943 -3.9324825 -3.8310404 -3.7320166 -3.6353698 -3.5430343 -3.4552650 -3.3669889 -3.2780557 -3.1900210 -3.1067677 -3.0296621 -2.9574606 -2.8884740 -2.8254426 -2.7632227 -2.7033567 -2.6454320 -2.5873165 -2.5303216 -2.4751136 -2.4233463 -2.3743320 -2.3273976 -2.2819653 -2.2393477 -2.1976838 -2.1579838 -2.1180811 -2.0784774 -2.0389686 -2.0010450 -1.9602002 -1.9189467 -1.8783758 -1.8365257 -1.7963831 -1.7562414 -1.7152331 -1.6758957 -1.6352652 -1.5956707 -1.5577593 -1.5194950 -1.4838748 -1.4498012 -1.4146404 -1.3814559 -1.3495733 -1.3169339 -1.2828436 -1.2512106 -1.2192204 -1.1829569 -1.1474328 -1.1126043 -1.0712808 -1.0325720 -0.98342431 -0.91635978 -0.26889020 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 2.50362772E-02 6.70026019E-02 7.51922578E-02 8.07324946E-02 8.50630254E-02 8.88243020E-02 9.21570808E-02 9.51310098E-02 9.78628993E-02 0.10035339 0.10268685 0.10488118 0.10697682 0.10904671 0.11099938 0.11292987 0.11477485 0.11658511 0.11835501 0.12013127 0.12186556 0.12356289 0.12524939 0.12693000 0.12860516 0.13031209 0.13200769 0.13370112 0.13537405 0.13707925 0.13881136 0.14054178 0.14225116 0.14403328 0.14584544 0.14771087 0.14955550 0.15145808 0.15342459 0.15537797 0.15744913 0.15954341 0.16173738 0.16401210 0.16635478 0.16878214 0.17136864 0.17404926 0.17685698 0.17979525 0.18289262 0.18616493 0.18970916 0.19341484 0.19747311 0.20181173 0.20655903 0.21170554 0.21735325 0.22355264 0.23038810 0.23791769 0.24603970 0.25493300 0.26444620 0.27424818 0.28424823 0.29419506 0.30386776 0.31323749 0.32230103 0.33106703 0.33950543 0.34764433 0.35579264 0.36381853 0.37178457 0.37993520 0.38808098 0.39635968 0.40485269 0.41365153 0.42268765 0.43241912 0.44287968 0.45370671 0.46569365 0.47886676 0.49286050 0.50856608 0.52537888 0.54276156 0.56131184 0.58266050 0.60587645 0.63103211 0.65929121 0.69334352 0.73518503 0.79751158 0.99999034 do regularised spline fit for input variable # 8 build map for variable # 8 warning: map is empty for variable 8 ------------------------------ Transdef: Tab for variable 9 3.84638784E-03 2.4495611 4.9308081 7.6310520 10.291101 13.446629 16.969379 20.740742 24.939892 29.313517 33.789532 38.756298 44.136108 50.081600 56.251976 62.826752 69.596024 76.921028 84.596405 92.788940 101.08837 109.32243 118.49373 129.18411 138.63130 149.96687 161.79424 175.20241 187.16888 201.34769 216.18741 231.59145 247.73495 264.29944 282.65436 302.61447 321.98743 343.92615 366.56726 391.58035 419.05197 447.70349 480.09760 511.45224 544.34570 581.96863 623.15186 665.37134 709.81165 757.96741 809.29260 859.64465 910.57544 968.69116 1027.6755 1084.4888 1144.3452 1199.3958 1256.0510 1315.1338 1378.1211 1444.4894 1510.5962 1568.0378 1628.5049 1692.8413 1758.2947 1822.9233 1891.4333 1956.2620 2027.9529 2103.3335 2180.7224 2263.7456 2346.7109 2427.6262 2507.8306 2595.4165 2681.7373 2764.6191 2850.9045 2944.3369 3039.3149 3130.9980 3221.8477 3321.7114 3422.5359 3526.7192 3627.0015 3730.5942 3840.0435 3951.3176 4061.2422 4176.8672 4289.4541 4400.8120 4523.8213 4638.2998 4753.4287 4877.3105 4999.6606 do regularised spline fit for input variable # 9 build map for variable # 9 ------------------------------ Transdef: Tab for variable 10 1.12030714E-08 0.10630041 0.22313404 0.33705249 0.44693550 0.55482042 0.66278279 0.76868987 0.87348104 0.97838116 1.0798538 1.1830096 1.2855822 1.3847537 1.4854547 1.5854999 1.6862621 1.7830491 1.8850091 1.9836559 2.0816050 2.1807094 2.2802086 2.3800602 2.4792469 2.5796337 2.6796708 2.7807119 2.8818288 2.9835377 3.0865088 3.1887500 3.2910218 3.3943396 3.4971619 3.5998878 3.7044458 3.8091433 3.9179764 4.0238638 4.1322370 4.2426043 4.3520732 4.4612699 4.5732298 4.6865129 4.7998381 4.9151154 5.0321078 5.1521406 5.2724533 5.3930645 5.5148950 5.6396074 5.7660599 5.8914156 6.0176935 6.1487560 6.2808666 6.4149599 6.5513678 6.6914630 6.8330436 6.9786396 7.1259632 7.2769928 7.4294925 7.5849838 7.7445183 7.9067640 8.0732784 8.2445860 8.4197330 8.6020365 8.7840643 8.9757938 9.1736326 9.3761806 9.5869808 9.8088512 10.034926 10.275696 10.527243 10.782903 11.056778 11.343801 11.646900 11.969425 12.312160 12.684075 13.091311 13.527189 14.014874 14.559998 15.169586 15.887821 16.780048 17.901150 19.450588 22.069126 73.908371 do regularised spline fit for input variable # 10 ------------------------------ Transdef: Tab for variable 11 -1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 2.0000000 2.0000000 2.0000000 2.0000000 2.0000000 2.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 3.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 9.0000000 10.0000000 10.0000000 10.0000000 10.0000000 11.000000 11.000000 11.000000 11.000000 11.000000 11.000000 12.000000 12.000000 13.000000 13.000000 13.000000 15.000000 27.000000 build map for variable # 11 ------------------------------ Transdef: Tab for variable 12 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 12 ------------------------------ Transdef: Tab for variable 13 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 13 ------------------------------ Transdef: Tab for variable 14 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 14 ------------------------------ Transdef: Tab for variable 15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 15 ------------------------------ Transdef: Tab for variable 16 -135.29630 -42.242851 -37.501801 -35.386848 -33.972000 -32.871349 -31.932850 -31.128050 -30.407551 -29.762600 -29.152950 -28.589199 -28.043049 -27.533899 -27.056400 -26.596300 -26.155550 -25.729301 -25.314800 -24.916500 -24.536449 -24.162600 -23.791599 -23.435499 -23.080849 -22.733299 -22.388399 -22.047501 -21.718500 -21.392050 -21.069950 -20.745100 -20.424101 -20.107901 -19.787201 -19.469900 -19.164700 -18.854401 -18.542450 -18.241350 -17.941650 -17.635300 -17.332399 -17.028650 -16.722799 -16.420200 -16.114000 -15.805500 -15.502649 -15.189751 -14.879700 -14.571751 -14.261150 -13.943800 -13.624300 -13.305700 -12.978550 -12.652800 -12.324800 -11.987400 -11.646400 -11.302650 -10.951500 -10.596800 -10.231750 -9.8666000 -9.4991493 -9.1177998 -8.7321997 -8.3470001 -7.9372001 -7.5327997 -7.1089501 -6.6714001 -6.2273502 -5.7820501 -5.3207998 -4.8646002 -4.3908000 -3.9171000 -3.4433999 -2.9635501 -2.4901500 -2.0218999 -1.5673499 -1.1339999 -0.71100003 -0.29879999 3.09999995E-02 0.53490001 1.1950999 2.0604000 3.1385000 4.5405502 6.2852001 8.5962505 11.610550 15.831200 22.527649 34.495850 127.99420 do regularised spline fit for input variable # 16 build map for variable # 16 ------------------------------ Transdef: Tab for variable 17 -75.307800 -19.705299 -15.539800 -13.500400 -12.130400 -11.070900 -10.177050 -9.4051495 -8.7237492 -8.1286001 -7.5908499 -7.1011496 -6.6579499 -6.2445498 -5.8762503 -5.5474501 -5.2400999 -4.9549499 -4.6932998 -4.4545999 -4.2313499 -4.0283999 -3.8378999 -3.6566501 -3.4868000 -3.3294501 -3.1831000 -3.0393500 -2.9054999 -2.7772000 -2.6547999 -2.5366001 -2.4256001 -2.3195000 -2.2175000 -2.1161001 -2.0191000 -1.9256999 -1.8336999 -1.7463000 -1.6591001 -1.5742000 -1.4926000 -1.4112000 -1.3319000 -1.2559000 -1.1792001 -1.1042000 -1.0301000 -0.95719999 -0.88520002 -0.81379998 -0.74460000 -0.67554998 -0.60759997 -0.53829998 -0.47009999 -0.40340000 -0.33485001 -0.26859999 -0.20130000 -0.13570000 -7.05000013E-02 -1.11999996E-02 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 3.57000008E-02 0.10520000 0.17810000 0.25450000 0.33419999 0.41679999 0.50185001 0.59009999 0.68085003 0.77719998 0.87540001 0.97770000 1.0863000 1.2000999 1.3205500 1.4489501 1.5869000 1.7407000 1.9061000 2.0880001 2.2997000 2.5411501 2.8242500 3.1768000 3.6380501 4.3055000 5.4654002 8.3196497 81.225304 do regularised spline fit for input variable # 17 build map for variable # 17 ------------------------------ Transdef: Tab for variable 18 -131.30859 -30.866800 -19.238750 -12.642300 -8.7567501 -6.2341003 -4.4990997 -3.2972500 -2.3988500 -1.7091000 -1.1527500 -0.68365002 -0.28315002 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.25510001 0.54860002 0.84380001 1.1173000 1.3856000 1.6401000 1.8796000 2.1116500 2.3345001 2.5455000 2.7454500 2.9391999 3.1198001 3.2911000 3.4570000 3.6148000 3.7688999 3.9145498 4.0535002 4.1870999 4.3172002 4.4407001 4.5633998 4.6764998 4.7884002 4.8980999 5.0057998 5.1086502 5.2119002 5.3134999 5.4117999 5.5081000 5.6051002 5.7013001 5.7958002 5.8907499 5.9822998 6.0735002 6.1659999 6.2595000 6.3520002 6.4453001 6.5393000 6.6331000 6.7259002 6.8218999 6.9194498 7.0173998 7.1170001 7.2186999 7.3232002 7.4309001 7.5419002 7.6523499 7.7659001 7.8852000 8.0087004 8.1393995 8.2781506 8.4233999 8.5792999 8.7477999 8.9295998 9.1289997 9.3508492 9.6035004 9.8863001 10.231000 10.655200 11.200649 11.971900 13.054199 14.567900 16.452850 18.963350 22.679100 98.697899 do regularised spline fit for input variable # 18 build map for variable # 18 ------------------------------ Transdef: Tab for variable 19 -113.56040 -29.826149 -18.550949 -12.329800 -8.3132000 -5.4643497 -3.2223001 -1.3945000 -0.12210000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.40500000 1.1607499 1.8253500 2.3287001 2.7253499 3.0478501 3.3202500 3.5515001 3.7574999 3.9446001 4.1104002 4.2684999 4.4078002 4.5437002 4.6687498 4.7880998 4.9033999 5.0142002 5.1174002 5.2207499 5.3211999 5.4177999 5.5114999 5.6044998 5.6954999 5.7842002 5.8722000 5.9583998 6.0436001 6.1255999 6.2090502 6.2923999 6.3750000 6.4575000 6.5385499 6.6209998 6.7024999 6.7851000 6.8671999 6.9502001 7.0323000 7.1155000 7.1996999 7.2848501 7.3710499 7.4580998 7.5475998 7.6360998 7.7279000 7.8213000 7.9169502 8.0149002 8.1174507 8.2217999 8.3282003 8.4389000 8.5569000 8.6782999 8.8064003 8.9377499 9.0790005 9.2272997 9.3852501 9.5583000 9.7413998 9.9387999 10.162700 10.412149 10.697100 11.017200 11.402800 11.866250 12.425100 13.120300 13.978100 14.993851 16.176550 17.584000 19.291201 21.473351 24.759750 83.526001 do regularised spline fit for input variable # 19 build map for variable # 19 ------------------------------ Transdef: Tab for variable 20 -111.77620 -26.787601 -16.914249 -11.476151 -7.5848498 -4.5326996 -2.0839000 -0.36865002 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.29194999 1.1420000 1.8594000 2.3768001 2.7830999 3.1083500 3.3779500 3.6092999 3.8141999 3.9983001 4.1652002 4.3193998 4.4603000 4.5943499 4.7189002 4.8397999 4.9539499 5.0623002 5.1662002 5.2701001 5.3706002 5.4650998 5.5592999 5.6521001 5.7423000 5.8326502 5.9201999 6.0063000 6.0904999 6.1740999 6.2578001 6.3413000 6.4253998 6.5079002 6.5900002 6.6717000 6.7549000 6.8382001 6.9221001 7.0058999 7.0883002 7.1732001 7.2582998 7.3455000 7.4331002 7.5229998 7.6125998 7.7051001 7.7983999 7.8947001 7.9924998 8.0934000 8.1997995 8.3072004 8.4180002 8.5361996 8.6563492 8.7854996 8.9174995 9.0571003 9.2087002 9.3678999 9.5397997 9.7251997 9.9231997 10.150300 10.401900 10.694500 11.022600 11.419350 11.905900 12.491300 13.216300 14.101851 15.132549 16.297899 17.623749 19.124550 20.856150 22.864799 25.436100 29.220400 53.135700 do regularised spline fit for input variable # 20 build map for variable # 20 ------------------------------ Transdef: Tab for variable 21 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 build map for variable # 21 ------------------------------ Transdef: Tab for variable 22 -1.5698276 -0.63897610 -0.62506574 -0.62138510 -0.61883551 -0.60750651 -0.60750651 -0.60750651 -0.59140563 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.55358869 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.53289008 -0.46140027 -0.35775280 -0.22497654 -0.19755149 -0.19324017 -0.19324017 -0.19324017 -0.17001677 -0.15976000 -0.10151577 -9.30809975E-02 -8.66560936E-02 -8.66560936E-02 -7.13868141E-02 -6.07295036E-02 -5.93438148E-02 -2.68115997E-02 -2.88772583E-03 1.48792267E-02 2.25257874E-02 9.87143517E-02 0.13534212 0.14300680 0.20615196 0.30152416 0.40459967 0.41452885 0.55028391 0.72603321 0.84395075 1.2763481 1.5115242 1.8278208 2.8982708 4.7914839 do regularised spline fit for input variable # 22 build map for variable # 22 ------------------------------ Transdef: Tab for variable 23 0.48956662 0.88282502 0.90449440 0.91760302 0.92696631 0.93632960 0.94257176 0.94881397 0.95505619 0.95973784 0.96441948 0.96754056 0.97191012 0.97612357 0.97846442 0.98314607 0.98626715 0.98876405 0.99250937 0.99438202 0.99719101 1.0007023 1.0032103 1.0056180 1.0081148 1.0112360 1.0140450 1.0159177 1.0182585 1.0205992 1.0232744 1.0252810 1.0280899 1.0299625 1.0330837 1.0346442 1.0367723 1.0393258 1.0421349 1.0440075 1.0455680 1.0486891 1.0505618 1.0533708 1.0549313 1.0580524 1.0597548 1.0617977 1.0639045 1.0674157 1.0674157 1.0714285 1.0730337 1.0767790 1.0786517 1.0814607 1.0830212 1.0861423 1.0884831 1.0908240 1.0929520 1.0955056 1.0990169 1.1011236 1.1048689 1.1067415 1.1095506 1.1123595 1.1165730 1.1189139 1.1235955 1.1235955 1.1292135 1.1329588 1.1360799 1.1404494 1.1446630 1.1481742 1.1516854 1.1573033 1.1622190 1.1677368 1.1735331 1.1797752 1.1853932 1.1922597 1.2008427 1.2078651 1.2172284 1.2289326 1.2415730 1.2546817 1.2734083 1.2921349 1.3202248 1.3576779 1.4080056 1.4794008 1.5926967 1.8089888 5.3820224 do regularised spline fit for input variable # 23 build map for variable # 23 warning: map is empty for variable 23 TOTAL CORRELATION OF ALL VARIABLES 51.366203268410160 ROUND 1 : MAX CORR ( 51.366200651864261 ) AFTER KILLING INPUT VARIABLE 18 CONTR 1.63952447355292172E-002 ROUND 2 : MAX CORR ( 51.366194661396115 ) AFTER KILLING INPUT VARIABLE 20 CONTR 2.48075621931107722E-002 ROUND 3 : MAX CORR ( 51.365768667564360 ) AFTER KILLING INPUT VARIABLE 5 CONTR 0.20919651694555175 ROUND 4 : MAX CORR ( 51.365231210414528 ) AFTER KILLING INPUT VARIABLE 19 CONTR 0.23497555275808810 ROUND 5 : MAX CORR ( 51.364092737066301 ) AFTER KILLING INPUT VARIABLE 3 CONTR 0.34198625322563236 ROUND 6 : MAX CORR ( 51.360477036180477 ) AFTER KILLING INPUT VARIABLE 13 CONTR 0.60944344932493055 ROUND 7 : MAX CORR ( 51.359461271456638 ) AFTER KILLING INPUT VARIABLE 14 CONTR 0.32301592804027823 ROUND 8 : MAX CORR ( 51.353356375996661 ) AFTER KILLING INPUT VARIABLE 15 CONTR 0.79186552781237929 ROUND 9 : MAX CORR ( 51.349893006567846 ) AFTER KILLING INPUT VARIABLE 22 CONTR 0.59640531029765009 ROUND 10 : MAX CORR ( 51.343640198024708 ) AFTER KILLING INPUT VARIABLE 21 CONTR 0.80132577753792988 ROUND 11 : MAX CORR ( 51.334876366636685 ) AFTER KILLING INPUT VARIABLE 11 CONTR 0.94860803620100753 ROUND 12 : MAX CORR ( 51.301269472610542 ) AFTER KILLING INPUT VARIABLE 17 CONTR 1.8572242935281844 ROUND 13 : MAX CORR ( 51.247318764883453 ) AFTER KILLING INPUT VARIABLE 6 CONTR 2.3521413460561269 ROUND 14 : MAX CORR ( 51.129902522645175 ) AFTER KILLING INPUT VARIABLE 10 CONTR 3.4670951262372562 ROUND 15 : MAX CORR ( 50.961037651101272 ) AFTER KILLING INPUT VARIABLE 7 CONTR 4.1520565384199717 ROUND 16 : MAX CORR ( 50.762667082847415 ) AFTER KILLING INPUT VARIABLE 2 CONTR 4.4921029722125763 ROUND 17 : MAX CORR ( 50.526705857231946 ) AFTER KILLING INPUT VARIABLE 9 CONTR 4.8887999121219288 ROUND 18 : MAX CORR ( 50.055471759711722 ) AFTER KILLING INPUT VARIABLE 12 CONTR 6.8846025082018647 ROUND 19 : MAX CORR ( 49.363004519471410 ) AFTER KILLING INPUT VARIABLE 4 CONTR 8.2972307366942051 ROUND 20 : MAX CORR ( 48.497236929316770 ) AFTER KILLING INPUT VARIABLE 8 CONTR 9.2045763297974954 ROUND 21 : MAX CORR ( 44.364390740314583 ) AFTER KILLING INPUT VARIABLE 23 CONTR 19.590375800861402 LAST REMAINING VARIABLE: 16 total correlation to target: 51.366203268410160 % total significance: 513.66203268410163 sigma correlations of single variables to target: variable 2 : 5.6903429041052362 % , in sigma: 56.903429041052362 variable 3 : 9.7555056345895323 % , in sigma: 97.555056345895323 variable 4 : 20.762163190246842 % , in sigma: 207.62163190246841 variable 5 : 4.2018195179303044 % , in sigma: 42.018195179303049 variable 6 : 4.9258607173340732 % , in sigma: 49.258607173340735 variable 7 : 4.3009971786550363 % , in sigma: 43.009971786550359 variable 8 : 6.2991499199517751 % , in sigma: 62.991499199517754 variable 9 : 12.060370523925830 % , in sigma: 120.60370523925830 variable 10 : 3.8870399561070541 % , in sigma: 38.870399561070542 variable 11 : 5.9320629548412720 % , in sigma: 59.320629548412718 variable 12 : 10.811826565275878 % , in sigma: 108.11826565275878 variable 13 : 6.9431838537258832 % , in sigma: 69.431838537258827 variable 14 : 12.380549319634998 % , in sigma: 123.80549319634999 variable 15 : 11.019948717707518 % , in sigma: 110.19948717707517 variable 16 : 44.364390740314583 % , in sigma: 443.64390740314587 variable 17 : 14.049031551507895 % , in sigma: 140.49031551507895 variable 18 : 14.623961821793559 % , in sigma: 146.23961821793560 variable 19 : 15.033515645150066 % , in sigma: 150.33515645150067 variable 20 : 15.178417326407624 % , in sigma: 151.78417326407623 variable 21 : 1.1074916858203403 % , in sigma: 11.074916858203403 variable 22 : 10.292887468211308 % , in sigma: 102.92887468211308 variable 23 : 27.846853024454862 % , in sigma: 278.46853024454867 variables sorted by significance: 1 most relevant variable 16 corr 44.364391 , in sigma: 443.64391326904297 2 most relevant variable 23 corr 19.590376 , in sigma: 195.90375900268555 3 most relevant variable 8 corr 9.2045765 , in sigma: 92.045764923095703 4 most relevant variable 4 corr 8.2972307 , in sigma: 82.972307205200195 5 most relevant variable 12 corr 6.8846025 , in sigma: 68.846025466918945 6 most relevant variable 9 corr 4.8888001 , in sigma: 48.888001441955566 7 most relevant variable 2 corr 4.4921031 , in sigma: 44.921030998229980 8 most relevant variable 7 corr 4.1520567 , in sigma: 41.520566940307617 9 most relevant variable 10 corr 3.4670951 , in sigma: 34.670951366424561 10 most relevant variable 6 corr 2.3521414 , in sigma: 23.521413803100586 11 most relevant variable 17 corr 1.8572243 , in sigma: 18.572243452072144 12 most relevant variable 11 corr 0.94860804 , in sigma: 9.4860804080963135 13 most relevant variable 21 corr 0.80132580 , in sigma: 8.0132579803466797 14 most relevant variable 22 corr 0.59640533 , in sigma: 5.9640532732009888 15 most relevant variable 15 corr 0.79186553 , in sigma: 7.9186552762985229 16 most relevant variable 14 corr 0.32301593 , in sigma: 3.2301592826843262 17 most relevant variable 13 corr 0.60944343 , in sigma: 6.0944342613220215 18 most relevant variable 3 corr 0.34198624 , in sigma: 3.4198623895645142 19 most relevant variable 19 corr 0.23497555 , in sigma: 2.3497554659843445 20 most relevant variable 5 corr 0.20919652 , in sigma: 2.0919652283191681 21 most relevant variable 20 corr 2.48075631E-02 , in sigma: 0.24807563051581383 22 most relevant variable 18 corr 1.63952447E-02 , in sigma: 0.16395244747400284 global correlations between input variables: variable 2 : 26.697181606214226 % variable 3 : 87.684646892068045 % variable 4 : 81.260010030518075 % variable 5 : 71.972165414348297 % variable 6 : 65.943049340167221 % variable 7 : 54.874884145497681 % variable 8 : 60.201223971513706 % variable 9 : 25.833332097796724 % variable 10 : 67.006799664738111 % variable 11 : 71.979602696144497 % variable 12 : 89.291922166165335 % variable 13 : 93.891510347028245 % variable 14 : 97.315581889758818 % variable 15 : 78.208747074236612 % variable 16 : 39.183486171397895 % variable 17 : 86.306512799987672 % variable 18 : 95.210001767334958 % variable 19 : 98.733148513446295 % variable 20 : 98.769776460789629 % variable 21 : 57.998486729621469 % variable 22 : 65.342731000014069 % variable 23 : 28.476371151839597 % significance loss when removing single variables: variable 2 : corr = 4.6885282271841469 % , sigma = 46.885282271841469 variable 3 : corr = 0.34147723687408071 % , sigma = 3.4147723687408074 variable 4 : corr = 8.4672758986149148 % , sigma = 84.672758986149148 variable 5 : corr = 0.20956823986906228 % , sigma = 2.0956823986906228 variable 6 : corr = 1.4133953766056271 % , sigma = 14.133953766056269 variable 7 : corr = 4.7617428812527329 % , sigma = 47.617428812527329 variable 8 : corr = 4.7690130907385200 % , sigma = 47.690130907385196 variable 9 : corr = 4.7760592398508885 % , sigma = 47.760592398508884 variable 10 : corr = 3.3821621438184137 % , sigma = 33.821621438184138 variable 11 : corr = 0.98933829127600026 % , sigma = 9.8933829127600017 variable 12 : corr = 3.1923316113213773 % , sigma = 31.923316113213772 variable 13 : corr = 0.52305329265269396 % , sigma = 5.2305329265269398 variable 14 : corr = 0.69607527041879913 % , sigma = 6.9607527041879917 variable 15 : corr = 0.36242569980293604 % , sigma = 3.6242569980293604 variable 16 : corr = 36.044649736117520 % , sigma = 360.44649736117526 variable 17 : corr = 1.8319450484429085 % , sigma = 18.319450484429083 variable 18 : corr = 1.63952447583089328E-002 % , sigma = 0.16395244758308933 variable 19 : corr = 6.63857794787804933E-002 % , sigma = 0.66385779478780493 variable 20 : corr = 2.75244499957205194E-002 % , sigma = 0.27524449995720518 variable 21 : corr = 0.86646643101647991 % , sigma = 8.6646643101647989 variable 22 : corr = 0.88968652582252761 % , sigma = 8.8968652582252759 variable 23 : corr = 19.256338728905504 % , sigma = 192.56338728905507 Keep only 18 most significant input variables Sum of Weights for output node 2 1000000.00000000000 FLAT2DEF: TAB(KK=1, II= 2 ) = -1.9822338 NVar: 19.000000 2936 --------- Entering internal boost mode: --------- Starting analysis with 30 variables. PREPRO: (sigma of derived input)/eigenvalue # 1 : 2.9927819 PREPRO: (sigma of derived input)/eigenvalue # 2 : 1.7418244 PREPRO: (sigma of derived input)/eigenvalue # 3 : 1.6288798 PREPRO: (sigma of derived input)/eigenvalue # 4 : 1.5558325 PREPRO: (sigma of derived input)/eigenvalue # 5 : 1.4814456 PREPRO: (sigma of derived input)/eigenvalue # 6 : 1.3567505 PREPRO: (sigma of derived input)/eigenvalue # 7 : 1.1910352 PREPRO: (sigma of derived input)/eigenvalue # 8 : 1.0793896 PREPRO: (sigma of derived input)/eigenvalue # 9 : 1.0029701 PREPRO: (sigma of derived input)/eigenvalue # 10 : 0.96651971 PREPRO: (sigma of derived input)/eigenvalue # 11 : 0.93475479 PREPRO: (sigma of derived input)/eigenvalue # 12 : 0.82870990 PREPRO: (sigma of derived input)/eigenvalue # 13 : 0.76630950 PREPRO: (sigma of derived input)/eigenvalue # 14 : 0.70891500 PREPRO: (sigma of derived input)/eigenvalue # 15 : 0.63932312 PREPRO: (sigma of derived input)/eigenvalue # 16 : 0.56679827 PREPRO: (sigma of derived input)/eigenvalue # 17 : 0.52217674 PREPRO: (sigma of derived input)/eigenvalue # 18 : 0.41555673 PREPRO: (sigma of derived input)/eigenvalue # 19 : 0.40110311 PREPRO: (sigma of derived input)/eigenvalue # 20 : 0.36149839 PREPRO: (sigma of derived input)/eigenvalue # 21 : 0.33685902 PREPRO: (sigma of derived input)/eigenvalue # 22 : 0.30275920 PREPRO: (sigma of derived input)/eigenvalue # 23 : 0.18623123 PREPRO: (sigma of derived input)/eigenvalue # 24 : 0.13847131 PREPRO: (sigma of derived input)/eigenvalue # 25 : 2.08612462E-03 PREPRO: (sigma of derived input)/eigenvalue # 26 : 3.44130152E-04 PREPRO: (sigma of derived input)/eigenvalue # 27 : 1.91035055E-04 PREPRO: (sigma of derived input)/eigenvalue # 28 : 5.13968317E-08 PREPRO: (sigma of derived input)/eigenvalue # 29 : 1.51981297E-07 PREPRO: (sigma of derived input)/eigenvalue # 30 : 3.94892937E-04 Using 24 variables out of 30 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 0 0.5 3.0 1.7 1.6 1.6 1.5 1.4 1.2 1.1 1.0 1.0 0.9 0.8 0.8 0.7 0.6 0.6 0.5 0.4 0.4 0.4 0.3 0.3 0.2 0.1 1 100.0 13.2 -11.8 -0.4 -14.3 4.3 29.2 18.3 0.7 -0.9 -1.3 3.5 -7.9 -0.3 10.1 6.7 4.6 2.8 -0.1 -4.2 -3.0 -0.5 1.2 1.7 8.6 2 13.2 100.0 -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 3 -11.8 -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 4 -0.4 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 5 -14.3 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 6 4.3 -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 7 29.2 -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 8 18.3 0.0 0.0 0.0 0.0 0.0 -0.0 100.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 9 0.7 -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 10 -0.9 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 11 -1.3 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 12 3.5 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 13 -7.9 -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 14 -0.3 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 100.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 15 10.1 -0.0 -0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 100.0 0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 16 6.7 -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 0.0 100.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 17 4.6 0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 100.0 0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 18 2.8 -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 0.0 100.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 -0.0 19 -0.1 -0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 0.0 0.0 -0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 100.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 20 -4.2 -0.0 0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 100.0 -0.0 0.0 0.0 0.0 0.0 21 -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 -0.0 100.0 0.0 -0.0 0.0 -0.0 22 -0.5 -0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0 0.0 100.0 0.0 0.0 0.0 23 1.2 -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 -0.0 0.0 100.0 -0.0 -0.0 24 1.7 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 -0.0 100.0 -0.0 25 8.6 0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 0.0 0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 100.0 TOTAL CORRELATION TO TARGET (diagonal) 45.648669414345477 ------------------------------------- Teacher: actual network topology: Nodes(1) = 25 Nodes(2) = 26 Nodes(3) = 1 ------------------------------------- NBPRESET: start with small weights from bias node for IFIXSHAPE > 0 trainings --------------------------------------------------- Iteration : 1 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 255.67365 sigma out 26 active outputs RANK 2 NODE 7 --> 132.64464 sigma out 26 active outputs RANK 3 NODE 2 --> 131.25354 sigma out 26 active outputs RANK 4 NODE 5 --> 107.64803 sigma out 26 active outputs RANK 5 NODE 3 --> 93.031509 sigma out 26 active outputs RANK 6 NODE 8 --> 86.112778 sigma out 26 active outputs RANK 7 NODE 12 --> 85.498543 sigma out 26 active outputs RANK 8 NODE 6 --> 71.963600 sigma out 26 active outputs RANK 9 NODE 10 --> 69.137184 sigma out 26 active outputs RANK 10 NODE 4 --> 68.366539 sigma out 26 active outputs RANK 11 NODE 11 --> 64.337814 sigma out 26 active outputs RANK 12 NODE 13 --> 60.819889 sigma out 26 active outputs RANK 13 NODE 16 --> 56.527569 sigma out 26 active outputs RANK 14 NODE 15 --> 55.960999 sigma out 26 active outputs RANK 15 NODE 14 --> 53.640549 sigma out 26 active outputs RANK 16 NODE 9 --> 53.406666 sigma out 26 active outputs RANK 17 NODE 17 --> 43.065235 sigma out 26 active outputs RANK 18 NODE 19 --> 41.807129 sigma out 26 active outputs RANK 19 NODE 20 --> 40.753155 sigma out 26 active outputs RANK 20 NODE 18 --> 37.050835 sigma out 26 active outputs RANK 21 NODE 21 --> 36.814404 sigma out 26 active outputs RANK 22 NODE 24 --> 33.940067 sigma out 26 active outputs RANK 23 NODE 22 --> 32.382774 sigma out 26 active outputs RANK 24 NODE 25 --> 31.846004 sigma out 26 active outputs RANK 25 NODE 23 --> 30.853848 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 193.66307 sigma in 25 act. ( 200.66101 sig out 1 act.) RANK 2 NODE 4 --> 139.26198 sigma in 25 act. ( 157.97163 sig out 1 act.) RANK 3 NODE 12 --> 134.87894 sigma in 25 act. ( 170.11938 sig out 1 act.) RANK 4 NODE 20 --> 130.60881 sigma in 25 act. ( 172.68492 sig out 1 act.) RANK 5 NODE 17 --> 120.46024 sigma in 25 act. ( 154.58255 sig out 1 act.) RANK 6 NODE 24 --> 101.85658 sigma in 25 act. ( 125.59274 sig out 1 act.) RANK 7 NODE 11 --> 96.171761 sigma in 25 act. ( 120.93083 sig out 1 act.) RANK 8 NODE 26 --> 93.253105 sigma in 25 act. ( 103.23827 sig out 1 act.) RANK 9 NODE 8 --> 91.479774 sigma in 25 act. ( 107.06834 sig out 1 act.) RANK 10 NODE 3 --> 68.737877 sigma in 25 act. ( 133.57190 sig out 1 act.) RANK 11 NODE 15 --> 61.549831 sigma in 25 act. ( 74.713806 sig out 1 act.) RANK 12 NODE 2 --> 57.608654 sigma in 25 act. ( 69.735687 sig out 1 act.) RANK 13 NODE 23 --> 57.178669 sigma in 25 act. ( 58.566456 sig out 1 act.) RANK 14 NODE 19 --> 55.317417 sigma in 25 act. ( 62.951927 sig out 1 act.) RANK 15 NODE 21 --> 55.131882 sigma in 25 act. ( 64.837944 sig out 1 act.) RANK 16 NODE 13 --> 54.100471 sigma in 25 act. ( 62.967941 sig out 1 act.) RANK 17 NODE 9 --> 44.988220 sigma in 25 act. ( 51.622471 sig out 1 act.) RANK 18 NODE 22 --> 42.273136 sigma in 25 act. ( 53.159382 sig out 1 act.) RANK 19 NODE 7 --> 41.717346 sigma in 25 act. ( 51.624325 sig out 1 act.) RANK 20 NODE 14 --> 41.157352 sigma in 25 act. ( 46.905064 sig out 1 act.) RANK 21 NODE 25 --> 41.120804 sigma in 25 act. ( 31.516672 sig out 1 act.) RANK 22 NODE 1 --> 35.742188 sigma in 25 act. ( 37.854267 sig out 1 act.) RANK 23 NODE 6 --> 35.186741 sigma in 25 act. ( 32.248466 sig out 1 act.) RANK 24 NODE 5 --> 32.151051 sigma in 25 act. ( 17.621210 sig out 1 act.) RANK 25 NODE 18 --> 30.771906 sigma in 25 act. ( 7.7499123 sig out 1 act.) RANK 26 NODE 16 --> 30.587627 sigma in 25 act. ( 13.315669 sig out 1 act.) sorted by output significance RANK 1 NODE 10 --> 200.66101 sigma out 1 act.( 193.66307 sig in 25 act.) RANK 2 NODE 20 --> 172.68492 sigma out 1 act.( 130.60881 sig in 25 act.) RANK 3 NODE 12 --> 170.11938 sigma out 1 act.( 134.87894 sig in 25 act.) RANK 4 NODE 4 --> 157.97163 sigma out 1 act.( 139.26198 sig in 25 act.) RANK 5 NODE 17 --> 154.58255 sigma out 1 act.( 120.46024 sig in 25 act.) RANK 6 NODE 3 --> 133.57190 sigma out 1 act.( 68.737877 sig in 25 act.) RANK 7 NODE 24 --> 125.59274 sigma out 1 act.( 101.85658 sig in 25 act.) RANK 8 NODE 11 --> 120.93083 sigma out 1 act.( 96.171761 sig in 25 act.) RANK 9 NODE 8 --> 107.06834 sigma out 1 act.( 91.479774 sig in 25 act.) RANK 10 NODE 26 --> 103.23827 sigma out 1 act.( 93.253105 sig in 25 act.) RANK 11 NODE 15 --> 74.713806 sigma out 1 act.( 61.549831 sig in 25 act.) RANK 12 NODE 2 --> 69.735687 sigma out 1 act.( 57.608654 sig in 25 act.) RANK 13 NODE 21 --> 64.837944 sigma out 1 act.( 55.131882 sig in 25 act.) RANK 14 NODE 13 --> 62.967941 sigma out 1 act.( 54.100471 sig in 25 act.) RANK 15 NODE 19 --> 62.951927 sigma out 1 act.( 55.317417 sig in 25 act.) RANK 16 NODE 23 --> 58.566456 sigma out 1 act.( 57.178669 sig in 25 act.) RANK 17 NODE 22 --> 53.159382 sigma out 1 act.( 42.273136 sig in 25 act.) RANK 18 NODE 7 --> 51.624325 sigma out 1 act.( 41.717346 sig in 25 act.) RANK 19 NODE 9 --> 51.622471 sigma out 1 act.( 44.988220 sig in 25 act.) RANK 20 NODE 14 --> 46.905064 sigma out 1 act.( 41.157352 sig in 25 act.) RANK 21 NODE 1 --> 37.854267 sigma out 1 act.( 35.742188 sig in 25 act.) RANK 22 NODE 6 --> 32.248466 sigma out 1 act.( 35.186741 sig in 25 act.) RANK 23 NODE 25 --> 31.516672 sigma out 1 act.( 41.120804 sig in 25 act.) RANK 24 NODE 5 --> 17.621210 sigma out 1 act.( 32.151051 sig in 25 act.) RANK 25 NODE 16 --> 13.315669 sigma out 1 act.( 30.587627 sig in 25 act.) RANK 26 NODE 18 --> 7.7499123 sigma out 1 act.( 30.771906 sig in 25 act.) RANK 1 NODE 1 --> 508.54153 sigma in 26 active inputs SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 287.48602 sigma out 26 active outputs RANK 2 NODE 7 --> 150.01013 sigma out 26 active outputs RANK 3 NODE 2 --> 129.95026 sigma out 26 active outputs RANK 4 NODE 5 --> 116.35229 sigma out 26 active outputs RANK 5 NODE 3 --> 101.80667 sigma out 26 active outputs RANK 6 NODE 12 --> 92.254883 sigma out 26 active outputs RANK 7 NODE 8 --> 88.572235 sigma out 26 active outputs RANK 8 NODE 10 --> 74.897766 sigma out 26 active outputs RANK 9 NODE 6 --> 72.883850 sigma out 26 active outputs RANK 10 NODE 4 --> 69.982559 sigma out 26 active outputs RANK 11 NODE 11 --> 63.998760 sigma out 26 active outputs RANK 12 NODE 13 --> 58.115582 sigma out 26 active outputs RANK 13 NODE 15 --> 54.297050 sigma out 26 active outputs RANK 14 NODE 16 --> 53.613873 sigma out 26 active outputs RANK 15 NODE 9 --> 52.829933 sigma out 26 active outputs RANK 16 NODE 14 --> 48.812649 sigma out 26 active outputs RANK 17 NODE 17 --> 34.030235 sigma out 26 active outputs RANK 18 NODE 18 --> 31.433331 sigma out 26 active outputs RANK 19 NODE 19 --> 27.746435 sigma out 26 active outputs RANK 20 NODE 21 --> 27.196497 sigma out 26 active outputs RANK 21 NODE 20 --> 25.492283 sigma out 26 active outputs RANK 22 NODE 23 --> 17.250605 sigma out 26 active outputs RANK 23 NODE 22 --> 14.130469 sigma out 26 active outputs RANK 24 NODE 25 --> 9.9685888 sigma out 26 active outputs RANK 25 NODE 24 --> 9.7969313 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 219.92252 sigma in 25 act. ( 141.56535 sig out 1 act.) RANK 2 NODE 4 --> 149.62694 sigma in 25 act. ( 114.71099 sig out 1 act.) RANK 3 NODE 12 --> 146.85501 sigma in 25 act. ( 132.67039 sig out 1 act.) RANK 4 NODE 17 --> 134.50241 sigma in 25 act. ( 120.02700 sig out 1 act.) RANK 5 NODE 20 --> 122.11990 sigma in 25 act. ( 135.46031 sig out 1 act.) RANK 6 NODE 24 --> 108.32403 sigma in 25 act. ( 88.432709 sig out 1 act.) RANK 7 NODE 11 --> 104.86610 sigma in 25 act. ( 94.851372 sig out 1 act.) RANK 8 NODE 26 --> 102.13137 sigma in 25 act. ( 70.189751 sig out 1 act.) RANK 9 NODE 8 --> 95.311958 sigma in 25 act. ( 83.304749 sig out 1 act.) RANK 10 NODE 3 --> 68.906097 sigma in 25 act. ( 111.20352 sig out 1 act.) RANK 11 NODE 15 --> 67.486092 sigma in 25 act. ( 57.781422 sig out 1 act.) RANK 12 NODE 2 --> 61.885334 sigma in 25 act. ( 53.542255 sig out 1 act.) RANK 13 NODE 23 --> 61.120811 sigma in 25 act. ( 43.271126 sig out 1 act.) RANK 14 NODE 13 --> 52.592529 sigma in 25 act. ( 45.086494 sig out 1 act.) RANK 15 NODE 21 --> 52.559658 sigma in 25 act. ( 48.291931 sig out 1 act.) RANK 16 NODE 19 --> 52.408997 sigma in 25 act. ( 50.842968 sig out 1 act.) RANK 17 NODE 14 --> 43.695919 sigma in 25 act. ( 32.068798 sig out 1 act.) RANK 18 NODE 9 --> 43.168423 sigma in 25 act. ( 35.978115 sig out 1 act.) RANK 19 NODE 7 --> 40.338303 sigma in 25 act. ( 38.897911 sig out 1 act.) RANK 20 NODE 1 --> 30.537399 sigma in 25 act. ( 27.817926 sig out 1 act.) RANK 21 NODE 22 --> 30.254217 sigma in 25 act. ( 42.024788 sig out 1 act.) RANK 22 NODE 6 --> 26.544395 sigma in 25 act. ( 23.667601 sig out 1 act.) RANK 23 NODE 25 --> 22.928082 sigma in 25 act. ( 23.853542 sig out 1 act.) RANK 24 NODE 5 --> 12.638302 sigma in 25 act. ( 14.025792 sig out 1 act.) RANK 25 NODE 16 --> 11.831033 sigma in 25 act. ( 10.136877 sig out 1 act.) RANK 26 NODE 18 --> 9.5808907 sigma in 25 act. ( 5.7218719 sig out 1 act.) sorted by output significance RANK 1 NODE 10 --> 141.56535 sigma out 1 act.( 219.92252 sig in 25 act.) RANK 2 NODE 20 --> 135.46031 sigma out 1 act.( 122.11990 sig in 25 act.) RANK 3 NODE 12 --> 132.67039 sigma out 1 act.( 146.85501 sig in 25 act.) RANK 4 NODE 17 --> 120.02700 sigma out 1 act.( 134.50241 sig in 25 act.) RANK 5 NODE 4 --> 114.71099 sigma out 1 act.( 149.62694 sig in 25 act.) RANK 6 NODE 3 --> 111.20352 sigma out 1 act.( 68.906097 sig in 25 act.) RANK 7 NODE 11 --> 94.851372 sigma out 1 act.( 104.86610 sig in 25 act.) RANK 8 NODE 24 --> 88.432709 sigma out 1 act.( 108.32403 sig in 25 act.) RANK 9 NODE 8 --> 83.304749 sigma out 1 act.( 95.311958 sig in 25 act.) RANK 10 NODE 26 --> 70.189751 sigma out 1 act.( 102.13137 sig in 25 act.) RANK 11 NODE 15 --> 57.781422 sigma out 1 act.( 67.486092 sig in 25 act.) RANK 12 NODE 2 --> 53.542255 sigma out 1 act.( 61.885334 sig in 25 act.) RANK 13 NODE 19 --> 50.842968 sigma out 1 act.( 52.408997 sig in 25 act.) RANK 14 NODE 21 --> 48.291931 sigma out 1 act.( 52.559658 sig in 25 act.) RANK 15 NODE 13 --> 45.086494 sigma out 1 act.( 52.592529 sig in 25 act.) RANK 16 NODE 23 --> 43.271126 sigma out 1 act.( 61.120811 sig in 25 act.) RANK 17 NODE 22 --> 42.024788 sigma out 1 act.( 30.254217 sig in 25 act.) RANK 18 NODE 7 --> 38.897911 sigma out 1 act.( 40.338303 sig in 25 act.) RANK 19 NODE 9 --> 35.978115 sigma out 1 act.( 43.168423 sig in 25 act.) RANK 20 NODE 14 --> 32.068798 sigma out 1 act.( 43.695919 sig in 25 act.) RANK 21 NODE 1 --> 27.817926 sigma out 1 act.( 30.537399 sig in 25 act.) RANK 22 NODE 25 --> 23.853542 sigma out 1 act.( 22.928082 sig in 25 act.) RANK 23 NODE 6 --> 23.667601 sigma out 1 act.( 26.544395 sig in 25 act.) RANK 24 NODE 5 --> 14.025792 sigma out 1 act.( 12.638302 sig in 25 act.) RANK 25 NODE 16 --> 10.136877 sigma out 1 act.( 11.831033 sig in 25 act.) RANK 26 NODE 18 --> 5.7218719 sigma out 1 act.( 9.5808907 sig in 25 act.) RANK 1 NODE 1 --> 384.01999 sigma in 26 active inputs *********************************************** *** Learn Path 1 *** loss function: -0.51216191 *** contribution from regularisation: 7.42739940E-04 *** contribution from error: -0.51290464 *** contribution from DIAG: 2.12702162E-05 *********************************************** --------------------------------------------------- Iteration : 2 *********************************************** *** Learn Path 2 *** loss function: -0.55891472 *** contribution from regularisation: 1.19394262E-03 *** contribution from error: -0.56010866 *** contribution from DIAG: 5.61570814E-05 *********************************************** --------------------------------------------------- Iteration : 3 *********************************************** *** Learn Path 3 *** loss function: -0.55995864 *** contribution from regularisation: 1.05101604E-03 *** contribution from error: -0.56100965 *** contribution from DIAG: 8.62626766E-05 *********************************************** --------------------------------------------------- Iteration : 4 *********************************************** *** Learn Path 4 *** loss function: -0.33605665 *** contribution from regularisation: 1.13903056E-03 *** contribution from error: -0.33719569 *** contribution from DIAG: 1.03680016E-02 *********************************************** --------------------------------------------------- Iteration : 5 *********************************************** *** Learn Path 5 *** loss function: -0.55336463 *** contribution from regularisation: 1.11811201E-03 *** contribution from error: -0.55448276 *** contribution from DIAG: 2.29909434E-04 *********************************************** --------------------------------------------------- Iteration : 6 *********************************************** *** Learn Path 6 *** loss function: -0.56008273 *** contribution from regularisation: 1.11334445E-03 *** contribution from error: -0.56119609 *** contribution from DIAG: 8.16461034E-05 *********************************************** --------------------------------------------------- Iteration : 7 *********************************************** *** Learn Path 7 *** loss function: -0.56065202 *** contribution from regularisation: 1.11808779E-03 *** contribution from error: -0.56177008 *** contribution from DIAG: 8.56501647E-05 *********************************************** --------------------------------------------------- Iteration : 8 *********************************************** *** Learn Path 8 *** loss function: -0.56130451 *** contribution from regularisation: 1.12389273E-03 *** contribution from error: -0.56242841 *** contribution from DIAG: 9.42878178E-05 *********************************************** --------------------------------------------------- Iteration : 9 *********************************************** *** Learn Path 9 *** loss function: -0.56220698 *** contribution from regularisation: 1.13157439E-03 *** contribution from error: -0.56333858 *** contribution from DIAG: 1.20868703E-04 *********************************************** --------------------------------------------------- Iteration : 10 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 340.17444 sigma out 26 active outputs RANK 2 NODE 7 --> 172.88240 sigma out 26 active outputs RANK 3 NODE 2 --> 141.74271 sigma out 26 active outputs RANK 4 NODE 5 --> 120.38132 sigma out 26 active outputs RANK 5 NODE 3 --> 110.29646 sigma out 26 active outputs RANK 6 NODE 12 --> 101.05589 sigma out 26 active outputs RANK 7 NODE 8 --> 99.559250 sigma out 26 active outputs RANK 8 NODE 10 --> 78.771347 sigma out 26 active outputs RANK 9 NODE 6 --> 75.891792 sigma out 26 active outputs RANK 10 NODE 4 --> 75.302315 sigma out 26 active outputs RANK 11 NODE 11 --> 67.750374 sigma out 26 active outputs RANK 12 NODE 13 --> 63.925320 sigma out 26 active outputs RANK 13 NODE 15 --> 60.286194 sigma out 26 active outputs RANK 14 NODE 16 --> 59.293159 sigma out 26 active outputs RANK 15 NODE 9 --> 56.270367 sigma out 26 active outputs RANK 16 NODE 14 --> 51.124332 sigma out 26 active outputs RANK 17 NODE 17 --> 36.789669 sigma out 26 active outputs RANK 18 NODE 18 --> 36.139835 sigma out 26 active outputs RANK 19 NODE 19 --> 31.016951 sigma out 26 active outputs RANK 20 NODE 21 --> 28.481249 sigma out 26 active outputs RANK 21 NODE 20 --> 27.793591 sigma out 26 active outputs RANK 22 NODE 23 --> 20.426693 sigma out 26 active outputs RANK 23 NODE 22 --> 16.285334 sigma out 26 active outputs RANK 24 NODE 25 --> 15.463613 sigma out 26 active outputs RANK 25 NODE 24 --> 11.010371 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 253.01488 sigma in 25 act. ( 150.12967 sig out 1 act.) RANK 2 NODE 4 --> 167.74347 sigma in 25 act. ( 123.73706 sig out 1 act.) RANK 3 NODE 12 --> 166.94968 sigma in 25 act. ( 140.67154 sig out 1 act.) RANK 4 NODE 17 --> 151.75331 sigma in 25 act. ( 132.13329 sig out 1 act.) RANK 5 NODE 20 --> 128.35904 sigma in 25 act. ( 141.38657 sig out 1 act.) RANK 6 NODE 11 --> 121.76379 sigma in 25 act. ( 107.34780 sig out 1 act.) RANK 7 NODE 24 --> 121.63901 sigma in 25 act. ( 97.189148 sig out 1 act.) RANK 8 NODE 26 --> 113.09303 sigma in 25 act. ( 75.029610 sig out 1 act.) RANK 9 NODE 8 --> 104.71693 sigma in 25 act. ( 89.891495 sig out 1 act.) RANK 10 NODE 15 --> 79.704613 sigma in 25 act. ( 65.753510 sig out 1 act.) RANK 11 NODE 3 --> 76.013672 sigma in 25 act. ( 116.70444 sig out 1 act.) RANK 12 NODE 2 --> 73.658142 sigma in 25 act. ( 62.697346 sig out 1 act.) RANK 13 NODE 23 --> 72.940590 sigma in 25 act. ( 48.641815 sig out 1 act.) RANK 14 NODE 19 --> 58.966339 sigma in 25 act. ( 55.216568 sig out 1 act.) RANK 15 NODE 13 --> 58.588585 sigma in 25 act. ( 48.620548 sig out 1 act.) RANK 16 NODE 21 --> 57.956020 sigma in 25 act. ( 52.273273 sig out 1 act.) RANK 17 NODE 14 --> 51.657944 sigma in 25 act. ( 35.281452 sig out 1 act.) RANK 18 NODE 9 --> 48.969547 sigma in 25 act. ( 40.001816 sig out 1 act.) RANK 19 NODE 7 --> 47.135777 sigma in 25 act. ( 43.439713 sig out 1 act.) RANK 20 NODE 1 --> 35.617741 sigma in 25 act. ( 31.342894 sig out 1 act.) RANK 21 NODE 22 --> 35.035740 sigma in 25 act. ( 48.156593 sig out 1 act.) RANK 22 NODE 6 --> 30.725145 sigma in 25 act. ( 26.637943 sig out 1 act.) RANK 23 NODE 25 --> 25.055548 sigma in 25 act. ( 25.462194 sig out 1 act.) RANK 24 NODE 16 --> 14.495102 sigma in 25 act. ( 12.245599 sig out 1 act.) RANK 25 NODE 5 --> 14.037029 sigma in 25 act. ( 14.812511 sig out 1 act.) RANK 26 NODE 18 --> 12.264935 sigma in 25 act. ( 7.4208980 sig out 1 act.) sorted by output significance RANK 1 NODE 10 --> 150.12967 sigma out 1 act.( 253.01488 sig in 25 act.) RANK 2 NODE 20 --> 141.38657 sigma out 1 act.( 128.35904 sig in 25 act.) RANK 3 NODE 12 --> 140.67154 sigma out 1 act.( 166.94968 sig in 25 act.) RANK 4 NODE 17 --> 132.13329 sigma out 1 act.( 151.75331 sig in 25 act.) RANK 5 NODE 4 --> 123.73706 sigma out 1 act.( 167.74347 sig in 25 act.) RANK 6 NODE 3 --> 116.70444 sigma out 1 act.( 76.013672 sig in 25 act.) RANK 7 NODE 11 --> 107.34780 sigma out 1 act.( 121.76379 sig in 25 act.) RANK 8 NODE 24 --> 97.189148 sigma out 1 act.( 121.63901 sig in 25 act.) RANK 9 NODE 8 --> 89.891495 sigma out 1 act.( 104.71693 sig in 25 act.) RANK 10 NODE 26 --> 75.029610 sigma out 1 act.( 113.09303 sig in 25 act.) RANK 11 NODE 15 --> 65.753510 sigma out 1 act.( 79.704613 sig in 25 act.) RANK 12 NODE 2 --> 62.697346 sigma out 1 act.( 73.658142 sig in 25 act.) RANK 13 NODE 19 --> 55.216568 sigma out 1 act.( 58.966339 sig in 25 act.) RANK 14 NODE 21 --> 52.273273 sigma out 1 act.( 57.956020 sig in 25 act.) RANK 15 NODE 23 --> 48.641815 sigma out 1 act.( 72.940590 sig in 25 act.) RANK 16 NODE 13 --> 48.620548 sigma out 1 act.( 58.588585 sig in 25 act.) RANK 17 NODE 22 --> 48.156593 sigma out 1 act.( 35.035740 sig in 25 act.) RANK 18 NODE 7 --> 43.439713 sigma out 1 act.( 47.135777 sig in 25 act.) RANK 19 NODE 9 --> 40.001816 sigma out 1 act.( 48.969547 sig in 25 act.) RANK 20 NODE 14 --> 35.281452 sigma out 1 act.( 51.657944 sig in 25 act.) RANK 21 NODE 1 --> 31.342894 sigma out 1 act.( 35.617741 sig in 25 act.) RANK 22 NODE 6 --> 26.637943 sigma out 1 act.( 30.725145 sig in 25 act.) RANK 23 NODE 25 --> 25.462194 sigma out 1 act.( 25.055548 sig in 25 act.) RANK 24 NODE 5 --> 14.812511 sigma out 1 act.( 14.037029 sig in 25 act.) RANK 25 NODE 16 --> 12.245599 sigma out 1 act.( 14.495102 sig in 25 act.) RANK 26 NODE 18 --> 7.4208980 sigma out 1 act.( 12.264935 sig in 25 act.) RANK 1 NODE 1 --> 414.69061 sigma in 26 active inputs *********************************************** *** Learn Path 10 *** loss function: -0.56268615 *** contribution from regularisation: 1.13750529E-03 *** contribution from error: -0.56382364 *** contribution from DIAG: 1.58418479E-04 *********************************************** --------------------------------------------------- Iteration : 11 *********************************************** *** Learn Path 11 *** loss function: -0.56200784 *** contribution from regularisation: 1.14983367E-03 *** contribution from error: -0.56315768 *** contribution from DIAG: 1.89924758E-04 *********************************************** --------------------------------------------------- Iteration : 12 *********************************************** *** Learn Path 12 *** loss function: -0.56290168 *** contribution from regularisation: 1.14086061E-03 *** contribution from error: -0.56404251 *** contribution from DIAG: 1.67214181E-04 *********************************************** --------------------------------------------------- Iteration : 13 *********************************************** *** Learn Path 13 *** loss function: -0.56313777 *** contribution from regularisation: 1.14074629E-03 *** contribution from error: -0.56427854 *** contribution from DIAG: 1.81206648E-04 *********************************************** --------------------------------------------------- Iteration : 14 *********************************************** *** Learn Path 14 *** loss function: -0.56339794 *** contribution from regularisation: 1.14467891E-03 *** contribution from error: -0.56454265 *** contribution from DIAG: 1.91768268E-04 *********************************************** --------------------------------------------------- Iteration : 15 *********************************************** *** Learn Path 15 *** loss function: -0.56394517 *** contribution from regularisation: 1.15325372E-03 *** contribution from error: -0.56509840 *** contribution from DIAG: 2.04213051E-04 *********************************************** --------------------------------------------------- Iteration : 16 *********************************************** *** Learn Path 16 *** loss function: -0.56358898 *** contribution from regularisation: 1.18856051E-03 *** contribution from error: -0.56477755 *** contribution from DIAG: 1.99280563E-04 *********************************************** --------------------------------------------------- Iteration : 17 *********************************************** *** Learn Path 17 *** loss function: -0.56441259 *** contribution from regularisation: 1.13145460E-03 *** contribution from error: -0.56554407 *** contribution from DIAG: 2.01542847E-04 *********************************************** --------------------------------------------------- Iteration : 18 *********************************************** *** Learn Path 18 *** loss function: -0.56516153 *** contribution from regularisation: 1.18081074E-03 *** contribution from error: -0.56634235 *** contribution from DIAG: 2.04730371E-04 *********************************************** --------------------------------------------------- Iteration : 19 *********************************************** *** Learn Path 19 *** loss function: -0.56579983 *** contribution from regularisation: 1.18503300E-03 *** contribution from error: -0.56698489 *** contribution from DIAG: 1.82712247E-04 *********************************************** --------------------------------------------------- Iteration : 20 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 371.37213 sigma out 26 active outputs RANK 2 NODE 2 --> 200.42281 sigma out 26 active outputs RANK 3 NODE 7 --> 188.96074 sigma out 26 active outputs RANK 4 NODE 3 --> 142.43851 sigma out 26 active outputs RANK 5 NODE 5 --> 137.17944 sigma out 26 active outputs RANK 6 NODE 4 --> 105.93914 sigma out 26 active outputs RANK 7 NODE 12 --> 98.619682 sigma out 26 active outputs RANK 8 NODE 8 --> 88.509811 sigma out 26 active outputs RANK 9 NODE 6 --> 82.653160 sigma out 26 active outputs RANK 10 NODE 10 --> 71.479843 sigma out 26 active outputs RANK 11 NODE 13 --> 69.895584 sigma out 26 active outputs RANK 12 NODE 16 --> 63.587063 sigma out 26 active outputs RANK 13 NODE 11 --> 62.578808 sigma out 26 active outputs RANK 14 NODE 9 --> 60.643707 sigma out 26 active outputs RANK 15 NODE 15 --> 60.277180 sigma out 26 active outputs RANK 16 NODE 14 --> 46.560883 sigma out 26 active outputs RANK 17 NODE 18 --> 40.277260 sigma out 26 active outputs RANK 18 NODE 17 --> 35.580845 sigma out 26 active outputs RANK 19 NODE 19 --> 31.823544 sigma out 26 active outputs RANK 20 NODE 23 --> 28.334927 sigma out 26 active outputs RANK 21 NODE 20 --> 27.807798 sigma out 26 active outputs RANK 22 NODE 25 --> 26.932159 sigma out 26 active outputs RANK 23 NODE 21 --> 25.891611 sigma out 26 active outputs RANK 24 NODE 22 --> 16.444698 sigma out 26 active outputs RANK 25 NODE 24 --> 10.196293 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 279.49753 sigma in 25 act. ( 208.06087 sig out 1 act.) RANK 2 NODE 12 --> 204.61885 sigma in 25 act. ( 163.46187 sig out 1 act.) RANK 3 NODE 11 --> 182.51117 sigma in 25 act. ( 190.31915 sig out 1 act.) RANK 4 NODE 4 --> 172.01840 sigma in 25 act. ( 137.80269 sig out 1 act.) RANK 5 NODE 17 --> 157.91597 sigma in 25 act. ( 156.56406 sig out 1 act.) RANK 6 NODE 24 --> 128.54840 sigma in 25 act. ( 116.01684 sig out 1 act.) RANK 7 NODE 20 --> 113.84438 sigma in 25 act. ( 126.29733 sig out 1 act.) RANK 8 NODE 26 --> 113.59045 sigma in 25 act. ( 80.162117 sig out 1 act.) RANK 9 NODE 15 --> 103.51217 sigma in 25 act. ( 97.916092 sig out 1 act.) RANK 10 NODE 8 --> 98.451134 sigma in 25 act. ( 88.497200 sig out 1 act.) RANK 11 NODE 2 --> 97.835136 sigma in 25 act. ( 78.622833 sig out 1 act.) RANK 12 NODE 3 --> 94.062622 sigma in 25 act. ( 94.559090 sig out 1 act.) RANK 13 NODE 23 --> 81.277809 sigma in 25 act. ( 54.028816 sig out 1 act.) RANK 14 NODE 7 --> 71.119820 sigma in 25 act. ( 63.550404 sig out 1 act.) RANK 15 NODE 13 --> 63.670238 sigma in 25 act. ( 49.121861 sig out 1 act.) RANK 16 NODE 21 --> 60.781975 sigma in 25 act. ( 59.748821 sig out 1 act.) RANK 17 NODE 19 --> 56.974785 sigma in 25 act. ( 54.657513 sig out 1 act.) RANK 18 NODE 14 --> 54.845581 sigma in 25 act. ( 32.868820 sig out 1 act.) RANK 19 NODE 9 --> 53.702789 sigma in 25 act. ( 47.539192 sig out 1 act.) RANK 20 NODE 22 --> 43.320732 sigma in 25 act. ( 56.616127 sig out 1 act.) RANK 21 NODE 1 --> 36.211632 sigma in 25 act. ( 31.182762 sig out 1 act.) RANK 22 NODE 6 --> 31.827671 sigma in 25 act. ( 27.161983 sig out 1 act.) RANK 23 NODE 25 --> 29.446596 sigma in 25 act. ( 32.977291 sig out 1 act.) RANK 24 NODE 5 --> 13.539917 sigma in 25 act. ( 13.472359 sig out 1 act.) RANK 25 NODE 18 --> 13.297107 sigma in 25 act. ( 8.8848333 sig out 1 act.) RANK 26 NODE 16 --> 13.223459 sigma in 25 act. ( 10.824861 sig out 1 act.) sorted by output significance RANK 1 NODE 10 --> 208.06087 sigma out 1 act.( 279.49753 sig in 25 act.) RANK 2 NODE 11 --> 190.31915 sigma out 1 act.( 182.51117 sig in 25 act.) RANK 3 NODE 12 --> 163.46187 sigma out 1 act.( 204.61885 sig in 25 act.) RANK 4 NODE 17 --> 156.56406 sigma out 1 act.( 157.91597 sig in 25 act.) RANK 5 NODE 4 --> 137.80269 sigma out 1 act.( 172.01840 sig in 25 act.) RANK 6 NODE 20 --> 126.29733 sigma out 1 act.( 113.84438 sig in 25 act.) RANK 7 NODE 24 --> 116.01684 sigma out 1 act.( 128.54840 sig in 25 act.) RANK 8 NODE 15 --> 97.916092 sigma out 1 act.( 103.51217 sig in 25 act.) RANK 9 NODE 3 --> 94.559090 sigma out 1 act.( 94.062622 sig in 25 act.) RANK 10 NODE 8 --> 88.497200 sigma out 1 act.( 98.451134 sig in 25 act.) RANK 11 NODE 26 --> 80.162117 sigma out 1 act.( 113.59045 sig in 25 act.) RANK 12 NODE 2 --> 78.622833 sigma out 1 act.( 97.835136 sig in 25 act.) RANK 13 NODE 7 --> 63.550404 sigma out 1 act.( 71.119820 sig in 25 act.) RANK 14 NODE 21 --> 59.748821 sigma out 1 act.( 60.781975 sig in 25 act.) RANK 15 NODE 22 --> 56.616127 sigma out 1 act.( 43.320732 sig in 25 act.) RANK 16 NODE 19 --> 54.657513 sigma out 1 act.( 56.974785 sig in 25 act.) RANK 17 NODE 23 --> 54.028816 sigma out 1 act.( 81.277809 sig in 25 act.) RANK 18 NODE 13 --> 49.121861 sigma out 1 act.( 63.670238 sig in 25 act.) RANK 19 NODE 9 --> 47.539192 sigma out 1 act.( 53.702789 sig in 25 act.) RANK 20 NODE 25 --> 32.977291 sigma out 1 act.( 29.446596 sig in 25 act.) RANK 21 NODE 14 --> 32.868820 sigma out 1 act.( 54.845581 sig in 25 act.) RANK 22 NODE 1 --> 31.182762 sigma out 1 act.( 36.211632 sig in 25 act.) RANK 23 NODE 6 --> 27.161983 sigma out 1 act.( 31.827671 sig in 25 act.) RANK 24 NODE 5 --> 13.472359 sigma out 1 act.( 13.539917 sig in 25 act.) RANK 25 NODE 16 --> 10.824861 sigma out 1 act.( 13.223459 sig in 25 act.) RANK 26 NODE 18 --> 8.8848333 sigma out 1 act.( 13.297107 sig in 25 act.) RANK 1 NODE 1 --> 493.72116 sigma in 26 active inputs *********************************************** *** Learn Path 20 *** loss function: -0.56636995 *** contribution from regularisation: 1.16909854E-03 *** contribution from error: -0.56753904 *** contribution from DIAG: 1.42679768E-04 *********************************************** --------------------------------------------------- Iteration : 21 *********************************************** *** Learn Path 21 *** loss function: -0.56728530 *** contribution from regularisation: 1.15494593E-03 *** contribution from error: -0.56844026 *** contribution from DIAG: 8.49200223E-05 *********************************************** --------------------------------------------------- Iteration : 22 *********************************************** *** Learn Path 22 *** loss function: -0.56741971 *** contribution from regularisation: 1.16530189E-03 *** contribution from error: -0.56858504 *** contribution from DIAG: 6.20846768E-05 *********************************************** --------------------------------------------------- Iteration : 23 *********************************************** *** Learn Path 23 *** loss function: -0.56782389 *** contribution from regularisation: 1.12645247E-03 *** contribution from error: -0.56895036 *** contribution from DIAG: 6.76650889E-05 *********************************************** --------------------------------------------------- Iteration : 24 *********************************************** *** Learn Path 24 *** loss function: -0.56794530 *** contribution from regularisation: 1.14060764E-03 *** contribution from error: -0.56908590 *** contribution from DIAG: 6.62905513E-05 *********************************************** --------------------------------------------------- Iteration : 100 SIGNIFICANCE OF OUTPUTS IN LAYER 1 RANK 1 NODE 1 --> 338.74857 sigma out 26 active outputs RANK 2 NODE 2 --> 191.35464 sigma out 26 active outputs RANK 3 NODE 7 --> 174.91705 sigma out 26 active outputs RANK 4 NODE 3 --> 138.72668 sigma out 26 active outputs RANK 5 NODE 5 --> 137.08795 sigma out 26 active outputs RANK 6 NODE 4 --> 103.80131 sigma out 26 active outputs RANK 7 NODE 12 --> 95.481293 sigma out 26 active outputs RANK 8 NODE 8 --> 85.291992 sigma out 26 active outputs RANK 9 NODE 6 --> 78.060036 sigma out 26 active outputs RANK 10 NODE 10 --> 67.487389 sigma out 26 active outputs RANK 11 NODE 13 --> 66.579247 sigma out 26 active outputs RANK 12 NODE 11 --> 59.913551 sigma out 26 active outputs RANK 13 NODE 16 --> 57.409550 sigma out 26 active outputs RANK 14 NODE 9 --> 57.394520 sigma out 26 active outputs RANK 15 NODE 15 --> 56.688461 sigma out 26 active outputs RANK 16 NODE 14 --> 44.629086 sigma out 26 active outputs RANK 17 NODE 18 --> 35.628086 sigma out 26 active outputs RANK 18 NODE 17 --> 34.515591 sigma out 26 active outputs RANK 19 NODE 19 --> 30.775515 sigma out 26 active outputs RANK 20 NODE 23 --> 27.783623 sigma out 26 active outputs RANK 21 NODE 25 --> 26.980972 sigma out 26 active outputs RANK 22 NODE 20 --> 26.218250 sigma out 26 active outputs RANK 23 NODE 21 --> 24.465714 sigma out 26 active outputs RANK 24 NODE 22 --> 15.841380 sigma out 26 active outputs RANK 25 NODE 24 --> 9.6290846 sigma out 26 active outputs SIGNIFICANCE OF INPUTS TO LAYER 2 sorted by input significance RANK 1 NODE 10 --> 263.89813 sigma in 25 act. ( 199.38332 sig out 1 act.) RANK 2 NODE 12 --> 186.51378 sigma in 25 act. ( 163.60365 sig out 1 act.) RANK 3 NODE 11 --> 182.14133 sigma in 25 act. ( 191.71034 sig out 1 act.) RANK 4 NODE 4 --> 161.02214 sigma in 25 act. ( 134.46303 sig out 1 act.) RANK 5 NODE 17 --> 141.45927 sigma in 25 act. ( 148.42792 sig out 1 act.) RANK 6 NODE 24 --> 119.78914 sigma in 25 act. ( 113.62676 sig out 1 act.) RANK 7 NODE 20 --> 105.06908 sigma in 25 act. ( 117.55592 sig out 1 act.) RANK 8 NODE 26 --> 103.15006 sigma in 25 act. ( 78.304771 sig out 1 act.) RANK 9 NODE 15 --> 100.92978 sigma in 25 act. ( 98.990921 sig out 1 act.) RANK 10 NODE 2 --> 91.373062 sigma in 25 act. ( 75.054314 sig out 1 act.) RANK 11 NODE 8 --> 89.612175 sigma in 25 act. ( 82.606964 sig out 1 act.) RANK 12 NODE 3 --> 88.012009 sigma in 25 act. ( 89.867775 sig out 1 act.) RANK 13 NODE 23 --> 76.143791 sigma in 25 act. ( 53.211193 sig out 1 act.) RANK 14 NODE 7 --> 66.982483 sigma in 25 act. ( 63.023014 sig out 1 act.) RANK 15 NODE 13 --> 62.511215 sigma in 25 act. ( 48.744316 sig out 1 act.) RANK 16 NODE 21 --> 56.480766 sigma in 25 act. ( 58.006485 sig out 1 act.) RANK 17 NODE 9 --> 51.296535 sigma in 25 act. ( 46.560703 sig out 1 act.) RANK 18 NODE 19 --> 50.818592 sigma in 25 act. ( 50.700100 sig out 1 act.) RANK 19 NODE 14 --> 49.345493 sigma in 25 act. ( 30.657665 sig out 1 act.) RANK 20 NODE 22 --> 43.496151 sigma in 25 act. ( 56.320564 sig out 1 act.) RANK 21 NODE 1 --> 34.284019 sigma in 25 act. ( 30.389481 sig out 1 act.) RANK 22 NODE 25 --> 30.025366 sigma in 25 act. ( 34.267387 sig out 1 act.) RANK 23 NODE 6 --> 28.951378 sigma in 25 act. ( 24.975496 sig out 1 act.) RANK 24 NODE 5 --> 13.274438 sigma in 25 act. ( 13.015610 sig out 1 act.) RANK 25 NODE 18 --> 11.992525 sigma in 25 act. ( 7.3692546 sig out 1 act.) RANK 26 NODE 16 --> 11.279659 sigma in 25 act. ( 8.0447588 sig out 1 act.) sorted by output significance RANK 1 NODE 10 --> 199.38332 sigma out 1 act.( 263.89813 sig in 25 act.) RANK 2 NODE 11 --> 191.71034 sigma out 1 act.( 182.14133 sig in 25 act.) RANK 3 NODE 12 --> 163.60365 sigma out 1 act.( 186.51378 sig in 25 act.) RANK 4 NODE 17 --> 148.42792 sigma out 1 act.( 141.45927 sig in 25 act.) RANK 5 NODE 4 --> 134.46303 sigma out 1 act.( 161.02214 sig in 25 act.) RANK 6 NODE 20 --> 117.55592 sigma out 1 act.( 105.06908 sig in 25 act.) RANK 7 NODE 24 --> 113.62676 sigma out 1 act.( 119.78914 sig in 25 act.) RANK 8 NODE 15 --> 98.990921 sigma out 1 act.( 100.92978 sig in 25 act.) RANK 9 NODE 3 --> 89.867775 sigma out 1 act.( 88.012009 sig in 25 act.) RANK 10 NODE 8 --> 82.606964 sigma out 1 act.( 89.612175 sig in 25 act.) RANK 11 NODE 26 --> 78.304771 sigma out 1 act.( 103.15006 sig in 25 act.) RANK 12 NODE 2 --> 75.054314 sigma out 1 act.( 91.373062 sig in 25 act.) RANK 13 NODE 7 --> 63.023014 sigma out 1 act.( 66.982483 sig in 25 act.) RANK 14 NODE 21 --> 58.006485 sigma out 1 act.( 56.480766 sig in 25 act.) RANK 15 NODE 22 --> 56.320564 sigma out 1 act.( 43.496151 sig in 25 act.) RANK 16 NODE 23 --> 53.211193 sigma out 1 act.( 76.143791 sig in 25 act.) RANK 17 NODE 19 --> 50.700100 sigma out 1 act.( 50.818592 sig in 25 act.) RANK 18 NODE 13 --> 48.744316 sigma out 1 act.( 62.511215 sig in 25 act.) RANK 19 NODE 9 --> 46.560703 sigma out 1 act.( 51.296535 sig in 25 act.) RANK 20 NODE 25 --> 34.267387 sigma out 1 act.( 30.025366 sig in 25 act.) RANK 21 NODE 14 --> 30.657665 sigma out 1 act.( 49.345493 sig in 25 act.) RANK 22 NODE 1 --> 30.389481 sigma out 1 act.( 34.284019 sig in 25 act.) RANK 23 NODE 6 --> 24.975496 sigma out 1 act.( 28.951378 sig in 25 act.) RANK 24 NODE 5 --> 13.015610 sigma out 1 act.( 13.274438 sig in 25 act.) RANK 25 NODE 16 --> 8.0447588 sigma out 1 act.( 11.279659 sig in 25 act.) RANK 26 NODE 18 --> 7.3692546 sigma out 1 act.( 11.992525 sig in 25 act.) RANK 1 NODE 1 --> 480.60669 sigma in 26 active inputs *********************************************** *** Learn Path 100 *** loss function: -0.56794226 *** contribution from regularisation: 1.14360603E-03 *** contribution from error: -0.56908590 *** contribution from DIAG: 6.62396487E-05 *********************************************** -----------------> Test sample END OF LEARNING , export EXPERTISE WRITE NETWORK WEIGHTS TO EXPERTISE NB_AHITOUT: storage space 78775 Training Complete :) *** Break *** segmentation violation =========================================================== There was a crash. This is the entire stack trace of all threads: =========================================================== #0 0x00002aecea03b4d5 in waitpid () from /lib64/libc.so.6 #1 0x00002aece9fdd481 in do_system () from /lib64/libc.so.6 #2 0x00002aece8333676 in TUnixSystem::StackTrace() () from /afs/cern.ch/sw/lcg/app/nightlies/dev/Thu/ROOT/ROOT_today/x86_64-slc5-gcc43-opt/root/lib/libCore.so #3 0x00002aece8332f4c in TUnixSystem::DispatchSignals(ESignals) () from /afs/cern.ch/sw/lcg/app/nightlies/dev/Thu/ROOT/ROOT_today/x86_64-slc5-gcc43-opt/root/lib/libCore.so #4 #5 0x00002aecd9544ec8 in _NeuroBayesTeacher_destructor() () from /afs/cern.ch/sw/lcg/external/neurobayes/3.7.0/x86_64-slc5-gcc43-opt/lib/libNeuroBayesTeacherCPP.so #6 0x00002aecd9544fdc in global destructors keyed to _ZN17NeuroBayesTeacher15instanceCounterE () from /afs/cern.ch/sw/lcg/external/neurobayes/3.7.0/x86_64-slc5-gcc43-opt/lib/libNeuroBayesTeacherCPP.so #7 0x00002aecd9544e4f in __do_global_dtors_aux () from /afs/cern.ch/sw/lcg/external/neurobayes/3.7.0/x86_64-slc5-gcc43-opt/lib/libNeuroBayesTeacherCPP.so #8 0x0000000000000000 in ?? () =========================================================== The lines below might hint at the cause of the crash. If they do not help you then please submit a bug report at http://root.cern.ch/bugs. Please post the ENTIRE stack trace from above as an attachment in addition to anything else that might help us fixing this issue. =========================================================== #5 0x00002aecd9544ec8 in _NeuroBayesTeacher_destructor() () from /afs/cern.ch/sw/lcg/external/neurobayes/3.7.0/x86_64-slc5-gcc43-opt/lib/libNeuroBayesTeacherCPP.so #6 0x00002aecd9544fdc in global destructors keyed to _ZN17NeuroBayesTeacher15instanceCounterE () from /afs/cern.ch/sw/lcg/external/neurobayes/3.7.0/x86_64-slc5-gcc43-opt/lib/libNeuroBayesTeacherCPP.so #7 0x00002aecd9544e4f in __do_global_dtors_aux () from /afs/cern.ch/sw/lcg/external/neurobayes/3.7.0/x86_64-slc5-gcc43-opt/lib/libNeuroBayesTeacherCPP.so #8 0x0000000000000000 in ?? () =========================================================== Network Config file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/GlobalPID_Electron_Upstream_ANN.txt Training parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/train-config.txt Input Data file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/datafiles.txt Neurobayes parameters file = /afs/cern.ch/user/j/jonrob/cmtuser/Brunel_HEAD/Rec/ChargedProtoANNPIDTeacher/training/results/MC11a/TrainKeepGhosts-EvalKeepGhosts-NaturalMix/NoPreSels/DIAG/ENTROPY/LD1/BFGS/621/Electron/Upstream/NB.txt Training Host = lxplus432.cern.ch Particle type = electron Background types = all Training Mix = NaturalMix Track type = Upstream Track PresSel = TrackPreSelNone Network type = NeuroBayes Ghost treatment = Ghosts Ghosts Min P = 0 MeV/c Min Pt = 0 MeV/c Max Chi^2 = 10 Min likelihood = -100 Max Ghost Prob = 1 Output file = GlobalPID_Electron_Upstream_NeuroBayes.conf Skipping input #RichUsedR2Gas 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 23 nodes, hidden layer has 26 nodes NB_DEF_TASK = CLA NB_DEF_MOM = 0 NB_DEF_REG = ALL NB_DEF_LOSS = ENTROPY NB_DEF_METHOD = BFGS NB_DEF_SHAPE = DIAG NB_DEF_LEARNDIAG = 1 NB_DEF_PRE = 621 Attempting to open training ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.1.root Found 9821527 training data points Read entry 982152 (9.99999%) Read entry 1964304 (20%) Read entry 2946456 (30%) Read entry 3928608 (40%) Read entry 4910760 (50%) Considered 5157981 tracks for input to NN training Sel. Eff. = 19.3874% Selected 1000000 tracks for input to NN training ghost percentage = 29.8513% electron percentage = 5.7412% muon percentage = 0.3947% pion percentage = 53.654% kaon percentage = 7.2871% proton percentage = 2.972% Unknown Particle type 3112 percentage = 0.034% Unknown Particle type 3222 percentage = 0.0368% Unknown Particle type 3312 percentage = 0.0106% Unknown Particle type 3334 percentage = 0.0002% Unknown Particle type 1000010020 percentage = 0.0022% Unknown Particle type 1000010030 percentage = 0.0027% Unknown Particle type 1000020040 percentage = 0.0132% Making plots for input NumProtoParticles Creating ROOT directory NNcut0.025 Creating ROOT directory NNcut0.050 Creating ROOT directory NNcut0.075 Creating ROOT directory NNcut0.100 Creating ROOT directory NNcut0.125 Creating ROOT directory NNcut0.150 Creating ROOT directory NNcut0.175 Creating ROOT directory NNcut0.200 Creating ROOT directory NNcut0.350 Creating ROOT directory NNcut0.500 Creating ROOT directory NNcut0.750 Creating ROOT directory NNcut0.900 Creating ROOT directory DLLcut-6.000 Creating ROOT directory DLLcut-5.500 Creating ROOT directory DLLcut-5.000 Creating ROOT directory DLLcut-4.500 Creating ROOT directory DLLcut-4.000 Creating ROOT directory DLLcut-3.500 Creating ROOT directory DLLcut-3.000 Creating ROOT directory DLLcut-2.500 Creating ROOT directory DLLcut-2.000 Creating ROOT directory DLLcut-1.500 Creating ROOT directory DLLcut-1.000 Creating ROOT directory DLLcut-0.500 Creating ROOT directory DLLcut0.000 Creating ROOT directory DLLcut0.500 Creating ROOT directory DLLcut1.000 Creating ROOT directory DLLcut1.500 Creating ROOT directory DLLcut2.000 Creating ROOT directory DLLcut2.500 Creating ROOT directory DLLcut3.000 Creating ROOT directory DLLcut3.500 Creating ROOT directory DLLcut4.000 Creating ROOT directory DLLcut4.500 Creating ROOT directory DLLcut5.000 Creating ROOT directory DLLcut5.500 Creating ROOT directory DLLcut6.000 Making plots for input TrackP Making plots for input TrackPt Making plots for input TrackChi2PerDof Making plots for input TrackNumDof Making plots for input TrackLikelihood Making plots for input TrackGhostProbability Making plots for input TrackCloneDist Making plots for input TrackFitVeloChi2 Making plots for input TrackFitVeloNDoF Making plots for input RichUsedAero Making plots for input RichUsedR1Gas Making plots for input 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 InAccBrem Making plots for input BremPIDe Making plots for input VeloCharge Attempting to open evaluation ROOT file /castor/cern.ch/user/j/jonrob/ProtoParticlePIDtuples/MC11a-Binc-nu2/ProtoPIDANN.tuples.2.root Found 9023704 evaluation data points Read entry 902370 (10%) Read entry 1804740 (20%) Read entry 2707110 (30%) Read entry 3609480 (40%) Read entry 4511850 (50%) Read entry 5414220 (60%) Read entry 6316590 (70%) Read entry 7218960 (80%) Read entry 8121330 (90%) Read entry 9023700 (100%) Making final performance plots ... Finished... asciiToRoot: converting ahist.txt to Root format ... finished Found 22 input variables. ***************Training results***************** number of nodes in the 1st layer: 25 number of nodes in the 2nd layer: 26 number of nodes in the 3rd layer: 1 number of iterations: 100