##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.15-bioc/R/library --no-vignettes --timings HPiP_1.2.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.15-bioc/meat/HPiP.Rcheck’
* using R version 4.2.1 (2022-06-23)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.2.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘HPiP’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... NOTE
Package unavailable to check Rd xrefs: ‘ftrCOOL’
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking R/sysdata.rda ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                user system elapsed
corr_plot     35.591  0.484  36.078
FSmethod      34.413  0.984  35.398
var_imp       33.724  0.884  34.610
pred_ensembel 13.984  0.646  10.559
enrichfindP    0.431  0.033  11.590
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 NOTE
See
  ‘/home/biocbuild/bbs-3.15-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.15-bioc/R/library’
* installing *source* package ‘HPiP’ ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (HPiP)

R version 4.2.1 (2022-06-23) -- "Funny-Looking Kid"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> BiocGenerics:::testPackage('HPiP')
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
avNNet
Loading required package: ggplot2
Loading required package: lattice
Fitting Repeat 1 

# weights:  103
initial  value 95.067599 
final  value 94.473118 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.822231 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 107.788814 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.446903 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.165612 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 108.704652 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.781818 
iter  10 value 88.014067
iter  20 value 85.684835
final  value 85.683709 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.739410 
final  value 94.402440 
converged
Fitting Repeat 4 

# weights:  305
initial  value 105.886146 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.665927 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.224090 
iter  10 value 94.061206
iter  20 value 92.697509
iter  30 value 92.478276
final  value 92.478198 
converged
Fitting Repeat 2 

# weights:  507
initial  value 102.974296 
final  value 94.322897 
converged
Fitting Repeat 3 

# weights:  507
initial  value 97.394634 
iter  10 value 93.820496
final  value 93.818593 
converged
Fitting Repeat 4 

# weights:  507
initial  value 99.294861 
iter  10 value 93.730209
iter  20 value 92.882184
iter  30 value 92.796983
final  value 92.796400 
converged
Fitting Repeat 5 

# weights:  507
initial  value 107.169097 
final  value 94.473118 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.999713 
iter  10 value 94.486706
iter  20 value 93.843534
iter  30 value 90.679492
iter  40 value 85.771454
iter  50 value 84.388849
iter  60 value 84.004209
iter  70 value 83.903313
iter  80 value 83.491931
iter  90 value 83.386721
iter 100 value 83.327566
final  value 83.327566 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 98.125877 
iter  10 value 94.488737
iter  20 value 92.373925
iter  30 value 89.726621
iter  40 value 87.352127
iter  50 value 85.843929
iter  60 value 85.399669
iter  70 value 85.346948
iter  80 value 85.318455
iter  90 value 85.292743
iter 100 value 85.189206
final  value 85.189206 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 98.483595 
iter  10 value 94.478461
iter  20 value 94.029116
iter  30 value 91.918413
iter  40 value 87.862436
iter  50 value 86.215404
iter  60 value 85.640696
iter  70 value 85.603818
iter  80 value 85.421084
final  value 85.378136 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.781774 
iter  10 value 94.455119
iter  20 value 93.936931
iter  30 value 93.056496
iter  40 value 92.946093
iter  50 value 86.999299
iter  60 value 86.367658
iter  70 value 85.313844
iter  80 value 84.763153
iter  90 value 84.680051
final  value 84.667974 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.583485 
iter  10 value 93.902508
iter  20 value 87.141991
iter  30 value 86.832782
iter  40 value 86.129914
iter  50 value 85.734320
iter  60 value 85.208140
iter  70 value 85.069996
iter  80 value 84.924714
iter  90 value 84.853138
final  value 84.852400 
converged
Fitting Repeat 1 

# weights:  305
initial  value 114.138299 
iter  10 value 94.459749
iter  20 value 93.289381
iter  30 value 90.272159
iter  40 value 86.169760
iter  50 value 85.401710
iter  60 value 84.061201
iter  70 value 82.021887
iter  80 value 81.893265
iter  90 value 81.723579
iter 100 value 81.636408
final  value 81.636408 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 108.309250 
iter  10 value 94.525469
iter  20 value 93.602504
iter  30 value 88.753210
iter  40 value 87.208940
iter  50 value 86.431962
iter  60 value 83.761623
iter  70 value 82.890230
iter  80 value 82.333565
iter  90 value 81.893883
iter 100 value 81.615014
final  value 81.615014 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.762464 
iter  10 value 94.747509
iter  20 value 94.350344
iter  30 value 90.324508
iter  40 value 89.358169
iter  50 value 87.208724
iter  60 value 83.134550
iter  70 value 82.305779
iter  80 value 82.220385
iter  90 value 82.122921
iter 100 value 81.920687
final  value 81.920687 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.586976 
iter  10 value 94.468461
iter  20 value 93.533476
iter  30 value 88.359873
iter  40 value 85.396823
iter  50 value 84.344336
iter  60 value 83.484789
iter  70 value 82.748762
iter  80 value 82.137075
iter  90 value 81.586617
iter 100 value 81.557401
final  value 81.557401 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 104.379218 
iter  10 value 90.132712
iter  20 value 86.919402
iter  30 value 86.718406
iter  40 value 86.239654
iter  50 value 85.790829
iter  60 value 85.113715
iter  70 value 83.396603
iter  80 value 82.562308
iter  90 value 81.450610
iter 100 value 81.217765
final  value 81.217765 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 109.135083 
iter  10 value 94.290329
iter  20 value 89.097877
iter  30 value 85.288082
iter  40 value 83.300315
iter  50 value 82.916577
iter  60 value 82.057294
iter  70 value 81.506711
iter  80 value 81.337101
iter  90 value 81.309261
iter 100 value 81.285664
final  value 81.285664 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 102.782462 
iter  10 value 94.882775
iter  20 value 89.153253
iter  30 value 87.416628
iter  40 value 85.861667
iter  50 value 84.757454
iter  60 value 83.264531
iter  70 value 82.508494
iter  80 value 81.671311
iter  90 value 81.223014
iter 100 value 81.048073
final  value 81.048073 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 128.555935 
iter  10 value 95.981621
iter  20 value 93.367528
iter  30 value 88.397602
iter  40 value 88.196035
iter  50 value 86.033551
iter  60 value 85.924970
iter  70 value 85.648156
iter  80 value 84.927416
iter  90 value 83.596877
iter 100 value 82.831035
final  value 82.831035 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 126.446562 
iter  10 value 95.221559
iter  20 value 94.303720
iter  30 value 87.110303
iter  40 value 85.757105
iter  50 value 84.984139
iter  60 value 84.506779
iter  70 value 83.447668
iter  80 value 82.213420
iter  90 value 81.910488
iter 100 value 81.760524
final  value 81.760524 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 126.071856 
iter  10 value 94.409331
iter  20 value 89.299964
iter  30 value 86.362285
iter  40 value 85.345808
iter  50 value 85.221071
iter  60 value 85.121422
iter  70 value 85.022287
iter  80 value 84.675815
iter  90 value 83.928265
iter 100 value 81.778731
final  value 81.778731 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 111.420894 
iter  10 value 94.474778
iter  20 value 94.473269
iter  30 value 94.473136
final  value 94.473132 
converged
Fitting Repeat 2 

# weights:  103
initial  value 106.797498 
final  value 94.485839 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.188660 
iter  10 value 94.485768
final  value 94.484350 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.935538 
final  value 94.483893 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.787758 
final  value 94.486077 
converged
Fitting Repeat 1 

# weights:  305
initial  value 104.633595 
iter  10 value 94.489076
iter  20 value 94.471802
iter  30 value 91.738949
iter  40 value 91.138085
iter  50 value 91.128591
iter  60 value 88.544929
iter  70 value 86.502729
iter  80 value 86.491336
final  value 86.491227 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.536904 
iter  10 value 94.489089
iter  20 value 93.697858
iter  30 value 85.552728
iter  40 value 85.451766
iter  50 value 85.448813
iter  60 value 84.404390
iter  70 value 84.404026
iter  80 value 84.243260
iter  90 value 83.320581
iter 100 value 83.305055
final  value 83.305055 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.387279 
iter  10 value 94.477964
iter  20 value 94.470527
iter  30 value 87.726158
iter  40 value 86.542848
final  value 86.540350 
converged
Fitting Repeat 4 

# weights:  305
initial  value 101.074740 
iter  10 value 94.328300
iter  20 value 94.327922
iter  30 value 94.327108
iter  40 value 94.325594
iter  50 value 89.586301
iter  60 value 88.328906
iter  70 value 87.994168
iter  80 value 86.054702
iter  90 value 86.034847
final  value 86.034841 
converged
Fitting Repeat 5 

# weights:  305
initial  value 104.385330 
iter  10 value 94.489163
iter  20 value 94.484350
iter  30 value 88.051154
iter  40 value 87.602038
iter  50 value 85.790250
iter  60 value 85.788048
iter  70 value 85.784754
iter  80 value 84.636821
iter  90 value 83.535879
iter 100 value 83.531793
final  value 83.531793 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 107.876180 
iter  10 value 94.048458
iter  20 value 93.394613
iter  30 value 92.856706
iter  40 value 92.845520
iter  50 value 92.837765
iter  60 value 92.587362
iter  70 value 90.648775
iter  80 value 86.541315
iter  90 value 86.269511
iter 100 value 85.724304
final  value 85.724304 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.034105 
iter  10 value 94.450713
iter  20 value 93.681387
iter  30 value 86.498670
iter  40 value 85.363496
iter  50 value 85.130087
iter  60 value 85.122666
iter  70 value 85.117586
iter  80 value 85.116753
iter  90 value 82.694704
iter 100 value 80.557185
final  value 80.557185 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 94.601376 
iter  10 value 94.481589
iter  20 value 94.175135
iter  30 value 87.248799
iter  40 value 84.676021
iter  50 value 82.679999
iter  60 value 82.391771
iter  70 value 82.304916
iter  80 value 82.240574
iter  90 value 82.237920
final  value 82.237872 
converged
Fitting Repeat 4 

# weights:  507
initial  value 106.679700 
iter  10 value 94.493037
iter  20 value 94.218504
iter  30 value 85.439360
iter  40 value 85.160884
final  value 85.159859 
converged
Fitting Repeat 5 

# weights:  507
initial  value 100.436739 
iter  10 value 94.492170
iter  20 value 94.437318
iter  30 value 85.591702
final  value 85.525279 
converged
Fitting Repeat 1 

# weights:  103
initial  value 104.015663 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.593853 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.795225 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.055811 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.504967 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.175907 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 97.821203 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.957385 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 109.783916 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 107.531110 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  507
initial  value 117.468876 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.563958 
final  value 94.275362 
converged
Fitting Repeat 3 

# weights:  507
initial  value 94.866424 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 113.714624 
iter  10 value 94.484462
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 107.315525 
final  value 94.274404 
converged
Fitting Repeat 1 

# weights:  103
initial  value 109.097387 
iter  10 value 94.462678
iter  20 value 92.535525
iter  30 value 90.333639
iter  40 value 88.195052
iter  50 value 84.949756
iter  60 value 84.159245
iter  70 value 84.026441
iter  80 value 83.985057
iter  90 value 83.846644
iter 100 value 83.816243
final  value 83.816243 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 100.879176 
iter  10 value 94.539783
iter  20 value 94.464965
iter  30 value 91.923159
iter  40 value 83.099434
iter  50 value 82.454101
iter  60 value 82.182197
iter  70 value 81.551007
iter  80 value 80.110991
iter  90 value 79.956040
iter 100 value 79.850038
final  value 79.850038 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 98.423416 
iter  10 value 94.358994
iter  20 value 91.756726
iter  30 value 90.719028
iter  40 value 88.639139
iter  50 value 83.900211
iter  60 value 83.022206
iter  70 value 82.429592
iter  80 value 82.109217
iter  90 value 81.947697
final  value 81.947626 
converged
Fitting Repeat 4 

# weights:  103
initial  value 110.269260 
iter  10 value 95.215565
iter  20 value 94.314831
iter  30 value 90.534512
iter  40 value 89.871820
iter  50 value 85.320196
iter  60 value 83.948464
iter  70 value 83.870523
iter  80 value 83.847233
iter  90 value 83.817038
final  value 83.813826 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.585392 
iter  10 value 94.369258
iter  20 value 93.878964
iter  30 value 93.537662
iter  40 value 91.919157
iter  50 value 83.789662
iter  60 value 82.812813
iter  70 value 82.194584
iter  80 value 82.123458
iter  90 value 81.957774
final  value 81.947626 
converged
Fitting Repeat 1 

# weights:  305
initial  value 111.003945 
iter  10 value 94.491302
iter  20 value 94.214354
iter  30 value 93.568059
iter  40 value 93.489008
iter  50 value 93.078883
iter  60 value 91.234906
iter  70 value 87.991789
iter  80 value 84.623981
iter  90 value 81.449400
iter 100 value 80.385478
final  value 80.385478 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 106.081148 
iter  10 value 93.896966
iter  20 value 85.430644
iter  30 value 84.677494
iter  40 value 83.936354
iter  50 value 82.179552
iter  60 value 81.598247
iter  70 value 81.056577
iter  80 value 80.997860
iter  90 value 80.975859
iter 100 value 80.954319
final  value 80.954319 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.456590 
iter  10 value 94.959565
iter  20 value 84.946252
iter  30 value 81.432653
iter  40 value 78.804166
iter  50 value 78.604176
iter  60 value 78.569414
iter  70 value 78.441693
iter  80 value 78.301691
iter  90 value 78.216267
iter 100 value 78.089918
final  value 78.089918 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 101.736627 
iter  10 value 93.271485
iter  20 value 86.140314
iter  30 value 84.525107
iter  40 value 82.155484
iter  50 value 80.011109
iter  60 value 79.625342
iter  70 value 79.457891
iter  80 value 79.391769
iter  90 value 79.338736
iter 100 value 78.894093
final  value 78.894093 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.904501 
iter  10 value 94.562254
iter  20 value 94.512352
iter  30 value 84.156924
iter  40 value 83.570088
iter  50 value 81.955496
iter  60 value 81.073426
iter  70 value 80.764505
iter  80 value 79.966854
iter  90 value 79.606378
iter 100 value 79.411565
final  value 79.411565 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 119.368950 
iter  10 value 94.405380
iter  20 value 93.224469
iter  30 value 93.150247
iter  40 value 91.166596
iter  50 value 82.615073
iter  60 value 80.346694
iter  70 value 79.075640
iter  80 value 78.753917
iter  90 value 78.693233
iter 100 value 78.285114
final  value 78.285114 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 120.405518 
iter  10 value 97.981825
iter  20 value 93.400784
iter  30 value 88.685772
iter  40 value 84.881224
iter  50 value 84.585025
iter  60 value 84.281991
iter  70 value 81.731284
iter  80 value 80.458540
iter  90 value 79.958102
iter 100 value 79.797577
final  value 79.797577 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 118.790094 
iter  10 value 94.517745
iter  20 value 94.286092
iter  30 value 83.838286
iter  40 value 82.276672
iter  50 value 80.255302
iter  60 value 79.435773
iter  70 value 78.836423
iter  80 value 78.534031
iter  90 value 78.089958
iter 100 value 78.025961
final  value 78.025961 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 103.831278 
iter  10 value 89.634595
iter  20 value 86.398847
iter  30 value 85.588944
iter  40 value 83.316170
iter  50 value 79.817606
iter  60 value 79.095189
iter  70 value 78.552567
iter  80 value 78.361137
iter  90 value 78.106259
iter 100 value 77.763552
final  value 77.763552 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 122.545446 
iter  10 value 96.189322
iter  20 value 94.384108
iter  30 value 87.287796
iter  40 value 83.105782
iter  50 value 81.651506
iter  60 value 79.753133
iter  70 value 79.269166
iter  80 value 78.999660
iter  90 value 78.726411
iter 100 value 78.477124
final  value 78.477124 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 98.205383 
final  value 94.485740 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.606632 
iter  10 value 94.277331
iter  20 value 94.275489
iter  30 value 85.847277
iter  40 value 85.755561
iter  50 value 83.454165
iter  60 value 83.267158
iter  70 value 83.237322
iter  80 value 83.191440
iter  90 value 83.164976
iter 100 value 83.164838
final  value 83.164838 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 95.754207 
final  value 94.485817 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.477874 
final  value 94.485687 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.531270 
iter  10 value 94.485936
iter  20 value 94.396313
iter  30 value 92.521801
iter  40 value 92.495025
iter  50 value 92.494883
final  value 92.493940 
converged
Fitting Repeat 1 

# weights:  305
initial  value 108.393114 
iter  10 value 94.491129
iter  20 value 94.486084
final  value 94.486082 
converged
Fitting Repeat 2 

# weights:  305
initial  value 112.903855 
iter  10 value 94.280754
iter  20 value 94.275869
final  value 94.275544 
converged
Fitting Repeat 3 

# weights:  305
initial  value 108.557298 
iter  10 value 94.489413
iter  20 value 93.134381
iter  30 value 89.460837
iter  40 value 86.294827
iter  50 value 85.955241
iter  60 value 85.940882
iter  70 value 85.927926
iter  80 value 83.842647
iter  90 value 83.562097
final  value 83.485118 
converged
Fitting Repeat 4 

# weights:  305
initial  value 101.518768 
iter  10 value 94.489908
iter  20 value 94.289822
iter  30 value 81.591253
iter  40 value 79.730536
iter  50 value 79.667821
iter  60 value 79.667227
final  value 79.667213 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.735448 
iter  10 value 94.094155
iter  20 value 91.685115
iter  30 value 83.785516
iter  40 value 83.722272
iter  50 value 83.496082
iter  60 value 80.747367
iter  70 value 79.430372
iter  80 value 79.218618
iter  90 value 79.217135
iter 100 value 79.216293
final  value 79.216293 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 95.628179 
iter  10 value 93.988880
iter  20 value 93.953340
iter  30 value 93.694650
iter  40 value 93.693946
iter  40 value 93.693945
iter  40 value 93.693945
final  value 93.693945 
converged
Fitting Repeat 2 

# weights:  507
initial  value 98.981383 
iter  10 value 92.815899
iter  20 value 92.411750
iter  30 value 92.283503
iter  40 value 92.265718
iter  50 value 92.264932
iter  60 value 91.479370
iter  70 value 82.177383
iter  80 value 81.780057
iter  90 value 81.772840
iter 100 value 81.772481
final  value 81.772481 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 95.986412 
iter  10 value 94.482690
iter  20 value 90.452070
iter  30 value 89.134562
iter  40 value 88.399263
iter  50 value 87.766578
iter  60 value 87.746647
iter  70 value 87.597297
iter  80 value 87.556234
iter  90 value 87.553122
iter 100 value 84.052652
final  value 84.052652 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 106.487802 
iter  10 value 94.283859
iter  20 value 94.278815
iter  30 value 91.969895
iter  40 value 84.227525
iter  50 value 83.201399
iter  60 value 81.433221
iter  70 value 80.648380
iter  80 value 80.638577
iter  90 value 79.548824
final  value 79.548609 
converged
Fitting Repeat 5 

# weights:  507
initial  value 102.950623 
iter  10 value 94.284521
iter  20 value 94.174599
iter  30 value 92.304462
iter  40 value 89.865413
iter  50 value 86.508824
iter  60 value 83.159936
iter  70 value 82.008886
iter  80 value 81.125933
iter  90 value 81.022439
iter 100 value 80.687568
final  value 80.687568 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.479162 
final  value 94.049020 
converged
Fitting Repeat 2 

# weights:  103
initial  value 94.329086 
final  value 94.008694 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.781067 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.697148 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.942443 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.719466 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 131.389618 
iter  10 value 94.052910
iter  10 value 94.052910
iter  10 value 94.052910
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 104.645386 
iter  10 value 92.924953
iter  20 value 92.811925
final  value 92.811793 
converged
Fitting Repeat 4 

# weights:  305
initial  value 104.475911 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 117.526747 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 108.416284 
final  value 93.869755 
converged
Fitting Repeat 2 

# weights:  507
initial  value 96.569415 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 104.866407 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 118.622417 
iter  10 value 91.363995
iter  20 value 87.383150
iter  30 value 86.641502
iter  40 value 86.619003
iter  50 value 86.618785
iter  50 value 86.618784
iter  50 value 86.618784
final  value 86.618784 
converged
Fitting Repeat 5 

# weights:  507
initial  value 120.498160 
final  value 93.915746 
converged
Fitting Repeat 1 

# weights:  103
initial  value 106.689655 
iter  10 value 94.058530
iter  20 value 93.530389
iter  30 value 88.801865
iter  40 value 85.473189
iter  50 value 83.544703
iter  60 value 83.400268
iter  70 value 83.364769
iter  80 value 83.350546
iter  90 value 83.344514
final  value 83.344502 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.353042 
iter  10 value 94.012844
iter  20 value 93.737414
iter  30 value 93.675098
iter  40 value 87.107053
iter  50 value 86.330970
iter  60 value 86.240477
iter  70 value 84.386907
iter  80 value 83.447211
iter  90 value 83.399796
iter 100 value 83.390054
final  value 83.390054 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 100.720279 
iter  10 value 94.057207
iter  20 value 92.369715
iter  30 value 86.246136
iter  40 value 86.099862
iter  50 value 85.953522
iter  60 value 85.364721
iter  70 value 84.159806
iter  80 value 83.543661
iter  90 value 83.409975
iter 100 value 83.385198
final  value 83.385198 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 103.321517 
iter  10 value 94.056147
iter  20 value 93.834716
iter  30 value 93.688443
iter  40 value 93.530867
iter  50 value 83.717263
iter  60 value 83.281084
iter  70 value 83.182236
iter  80 value 82.592874
iter  90 value 82.148306
iter 100 value 82.022813
final  value 82.022813 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 97.448798 
iter  10 value 94.056040
iter  20 value 93.777107
iter  30 value 93.739012
iter  40 value 93.731110
iter  50 value 93.730644
iter  60 value 92.526945
iter  70 value 85.069456
iter  80 value 83.493589
iter  90 value 83.406915
iter 100 value 83.346454
final  value 83.346454 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 101.356208 
iter  10 value 87.827873
iter  20 value 86.308525
iter  30 value 85.224794
iter  40 value 84.349313
iter  50 value 84.265595
iter  60 value 83.396474
iter  70 value 82.391914
iter  80 value 81.740509
iter  90 value 81.349766
iter 100 value 81.175117
final  value 81.175117 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.166664 
iter  10 value 94.182672
iter  20 value 85.536182
iter  30 value 84.354948
iter  40 value 84.237409
iter  50 value 83.963652
iter  60 value 82.854354
iter  70 value 81.710786
iter  80 value 81.296725
iter  90 value 81.038723
iter 100 value 80.871379
final  value 80.871379 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 108.529038 
iter  10 value 93.923405
iter  20 value 93.496904
iter  30 value 88.937036
iter  40 value 85.306677
iter  50 value 81.401619
iter  60 value 80.944143
iter  70 value 80.645390
iter  80 value 80.452475
iter  90 value 80.276791
iter 100 value 80.224559
final  value 80.224559 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 118.095701 
iter  10 value 94.241832
iter  20 value 86.339034
iter  30 value 84.707349
iter  40 value 84.516137
iter  50 value 81.656630
iter  60 value 81.109214
iter  70 value 80.700404
iter  80 value 80.526538
iter  90 value 80.502063
iter 100 value 80.499341
final  value 80.499341 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 116.812027 
iter  10 value 94.035633
iter  20 value 90.086950
iter  30 value 85.792431
iter  40 value 84.756574
iter  50 value 83.485317
iter  60 value 82.847721
iter  70 value 82.727675
iter  80 value 82.670695
iter  90 value 82.649624
iter 100 value 82.529937
final  value 82.529937 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 115.035653 
iter  10 value 94.012737
iter  20 value 86.241042
iter  30 value 84.179541
iter  40 value 83.074438
iter  50 value 81.951194
iter  60 value 80.615946
iter  70 value 80.216486
iter  80 value 80.090800
iter  90 value 80.029887
iter 100 value 79.960566
final  value 79.960566 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 131.892361 
iter  10 value 98.359685
iter  20 value 95.246706
iter  30 value 93.884402
iter  40 value 88.596217
iter  50 value 86.274684
iter  60 value 85.593800
iter  70 value 83.073898
iter  80 value 82.457977
iter  90 value 81.904695
iter 100 value 81.427942
final  value 81.427942 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 110.050892 
iter  10 value 93.963019
iter  20 value 86.117089
iter  30 value 83.986328
iter  40 value 82.952581
iter  50 value 82.793893
iter  60 value 82.756694
iter  70 value 82.709352
iter  80 value 82.566101
iter  90 value 82.042446
iter 100 value 81.184513
final  value 81.184513 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 117.503376 
iter  10 value 94.173080
iter  20 value 92.138527
iter  30 value 84.423570
iter  40 value 84.238942
iter  50 value 83.982728
iter  60 value 83.020125
iter  70 value 82.216262
iter  80 value 81.741937
iter  90 value 81.414200
iter 100 value 80.640360
final  value 80.640360 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 109.318061 
iter  10 value 92.686305
iter  20 value 85.715783
iter  30 value 85.565744
iter  40 value 84.206356
iter  50 value 82.480024
iter  60 value 82.205139
iter  70 value 82.042104
iter  80 value 81.648705
iter  90 value 80.823924
iter 100 value 80.365578
final  value 80.365578 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.109895 
final  value 94.054643 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.705343 
final  value 94.054548 
converged
Fitting Repeat 3 

# weights:  103
initial  value 94.158104 
final  value 94.054531 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.189895 
final  value 94.054668 
converged
Fitting Repeat 5 

# weights:  103
initial  value 110.317488 
final  value 94.054383 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.093246 
iter  10 value 94.033226
iter  20 value 94.028550
iter  30 value 93.625255
iter  40 value 92.592353
iter  50 value 91.389922
iter  60 value 90.870232
iter  70 value 90.818965
final  value 90.818912 
converged
Fitting Repeat 2 

# weights:  305
initial  value 105.101779 
iter  10 value 94.058181
iter  20 value 94.053280
iter  30 value 91.901871
iter  40 value 86.383872
iter  50 value 82.422961
iter  60 value 80.744002
iter  70 value 80.200728
iter  80 value 80.093650
iter  90 value 79.244234
iter 100 value 79.107640
final  value 79.107640 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 95.431523 
iter  10 value 94.058283
iter  20 value 94.052941
iter  30 value 93.932934
iter  40 value 93.711614
iter  50 value 93.702003
final  value 93.697880 
converged
Fitting Repeat 4 

# weights:  305
initial  value 102.734622 
iter  10 value 94.057744
iter  20 value 94.052938
iter  30 value 93.852710
iter  40 value 90.580233
iter  50 value 83.354923
iter  60 value 81.767783
iter  70 value 81.764529
iter  80 value 81.764325
final  value 81.763975 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.231958 
iter  10 value 94.057538
iter  20 value 93.703542
iter  30 value 85.362216
iter  40 value 84.350314
iter  50 value 84.342992
iter  60 value 84.342643
iter  70 value 82.132828
iter  80 value 81.682979
iter  90 value 81.669576
iter 100 value 81.669395
final  value 81.669395 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 98.763132 
iter  10 value 93.128881
iter  20 value 88.438367
iter  30 value 84.579772
iter  40 value 84.420581
iter  50 value 84.418253
iter  60 value 83.658815
iter  70 value 83.521762
iter  80 value 83.520188
iter  90 value 83.520001
iter 100 value 83.510306
final  value 83.510306 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 107.447927 
iter  10 value 94.061901
iter  20 value 94.042094
iter  30 value 93.643614
iter  30 value 93.643613
iter  30 value 93.643613
final  value 93.643613 
converged
Fitting Repeat 3 

# weights:  507
initial  value 123.104572 
iter  10 value 94.060697
iter  20 value 94.053214
iter  30 value 93.915843
iter  40 value 93.766018
iter  50 value 93.697982
final  value 93.697981 
converged
Fitting Repeat 4 

# weights:  507
initial  value 99.727699 
iter  10 value 94.061493
iter  20 value 93.706264
iter  30 value 83.623558
iter  40 value 83.362820
iter  50 value 83.355452
final  value 83.324408 
converged
Fitting Repeat 5 

# weights:  507
initial  value 116.305404 
iter  10 value 93.923586
iter  20 value 93.917179
iter  30 value 90.752875
iter  40 value 85.784878
iter  50 value 85.733103
iter  60 value 85.725199
iter  70 value 83.376215
iter  80 value 83.351103
iter  90 value 83.312024
iter 100 value 82.875056
final  value 82.875056 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.829325 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 106.044857 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 105.354237 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.428283 
iter  10 value 94.212650
final  value 94.212644 
converged
Fitting Repeat 5 

# weights:  103
initial  value 110.144297 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.741716 
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  305
initial  value 103.426153 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 110.742080 
iter  10 value 86.809509
iter  20 value 85.973837
iter  30 value 85.969019
iter  40 value 85.926751
final  value 85.926160 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.038420 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 111.677090 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 109.921704 
iter  10 value 94.444762
iter  20 value 94.275362
iter  20 value 94.275362
iter  20 value 94.275362
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  507
initial  value 96.831298 
final  value 94.275362 
converged
Fitting Repeat 3 

# weights:  507
initial  value 120.577860 
iter  10 value 94.484219
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 103.199845 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.645569 
final  value 94.275363 
converged
Fitting Repeat 1 

# weights:  103
initial  value 102.196274 
iter  10 value 94.489471
iter  20 value 93.061274
iter  30 value 91.664677
iter  40 value 91.144409
iter  50 value 91.110351
iter  60 value 91.107651
iter  70 value 91.104459
iter  80 value 91.103930
final  value 91.103912 
converged
Fitting Repeat 2 

# weights:  103
initial  value 119.632656 
iter  10 value 94.491974
iter  20 value 91.566006
iter  30 value 90.857368
iter  40 value 90.814458
iter  50 value 87.450965
iter  60 value 87.185412
iter  70 value 84.015730
iter  80 value 83.952274
iter  90 value 83.737225
iter 100 value 83.707539
final  value 83.707539 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 99.400296 
iter  10 value 93.988355
iter  20 value 89.512988
iter  30 value 84.300315
iter  40 value 83.823545
iter  50 value 83.710702
iter  60 value 83.707520
final  value 83.707518 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.168737 
iter  10 value 94.093688
iter  20 value 86.313934
iter  30 value 83.745727
iter  40 value 83.468818
iter  50 value 82.378307
iter  60 value 81.871995
iter  70 value 81.457519
iter  80 value 81.412953
iter  90 value 81.375812
final  value 81.374763 
converged
Fitting Repeat 5 

# weights:  103
initial  value 108.306344 
iter  10 value 97.544147
iter  20 value 94.475493
iter  30 value 91.606002
iter  40 value 86.198483
iter  50 value 85.097669
iter  60 value 84.776929
iter  70 value 84.522484
iter  80 value 84.055638
iter  90 value 83.353442
iter 100 value 83.333061
final  value 83.333061 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 101.263235 
iter  10 value 94.495510
iter  20 value 89.926032
iter  30 value 87.158760
iter  40 value 86.113641
iter  50 value 85.030652
iter  60 value 82.590862
iter  70 value 80.992841
iter  80 value 80.540905
iter  90 value 80.210008
iter 100 value 79.997745
final  value 79.997745 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 101.629315 
iter  10 value 94.089098
iter  20 value 87.553802
iter  30 value 85.965337
iter  40 value 83.494111
iter  50 value 83.040682
iter  60 value 82.876252
iter  70 value 82.830125
iter  80 value 82.283024
iter  90 value 81.594711
iter 100 value 81.230984
final  value 81.230984 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 100.828130 
iter  10 value 94.382650
iter  20 value 90.376841
iter  30 value 88.562700
iter  40 value 87.591798
iter  50 value 86.725121
iter  60 value 83.858799
iter  70 value 81.417212
iter  80 value 80.384882
iter  90 value 80.258304
iter 100 value 80.204455
final  value 80.204455 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 122.472371 
iter  10 value 94.250414
iter  20 value 87.096386
iter  30 value 85.684242
iter  40 value 85.045791
iter  50 value 84.729640
iter  60 value 81.681426
iter  70 value 80.776580
iter  80 value 80.315910
iter  90 value 80.034724
iter 100 value 79.982310
final  value 79.982310 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 107.746492 
iter  10 value 94.155557
iter  20 value 85.802902
iter  30 value 84.190301
iter  40 value 83.741948
iter  50 value 82.701501
iter  60 value 81.573602
iter  70 value 81.422741
iter  80 value 80.692676
iter  90 value 80.357808
iter 100 value 80.247717
final  value 80.247717 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 110.490094 
iter  10 value 95.249036
iter  20 value 92.182939
iter  30 value 86.448511
iter  40 value 85.381150
iter  50 value 85.075754
iter  60 value 84.946137
iter  70 value 83.241293
iter  80 value 82.284789
iter  90 value 81.729419
iter 100 value 80.669255
final  value 80.669255 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.886346 
iter  10 value 94.336228
iter  20 value 84.522735
iter  30 value 83.187130
iter  40 value 82.379005
iter  50 value 82.031703
iter  60 value 81.342305
iter  70 value 80.790713
iter  80 value 80.665287
iter  90 value 80.622219
iter 100 value 80.608635
final  value 80.608635 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 137.231725 
iter  10 value 94.725988
iter  20 value 94.412133
iter  30 value 90.753809
iter  40 value 88.564649
iter  50 value 85.084089
iter  60 value 83.705301
iter  70 value 81.127574
iter  80 value 80.145282
iter  90 value 79.954882
iter 100 value 79.796236
final  value 79.796236 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 110.565730 
iter  10 value 94.071012
iter  20 value 88.446813
iter  30 value 85.873210
iter  40 value 85.071667
iter  50 value 83.165356
iter  60 value 81.260657
iter  70 value 80.387298
iter  80 value 79.738274
iter  90 value 79.498425
iter 100 value 79.384144
final  value 79.384144 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 103.490717 
iter  10 value 94.413253
iter  20 value 93.718877
iter  30 value 88.203518
iter  40 value 87.099459
iter  50 value 85.638132
iter  60 value 83.297224
iter  70 value 82.498538
iter  80 value 81.623750
iter  90 value 81.232474
iter 100 value 80.808167
final  value 80.808167 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.667153 
final  value 94.485790 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.310852 
final  value 94.486028 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.930563 
final  value 94.486045 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.474121 
final  value 94.485874 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.549488 
final  value 94.485560 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.068436 
iter  10 value 94.376792
iter  20 value 94.372650
iter  30 value 94.336065
iter  40 value 92.684847
iter  50 value 92.365947
iter  60 value 92.363800
final  value 92.363789 
converged
Fitting Repeat 2 

# weights:  305
initial  value 100.362726 
iter  10 value 93.706500
iter  20 value 87.453525
iter  30 value 87.370335
iter  40 value 86.050962
iter  50 value 85.831396
final  value 85.800500 
converged
Fitting Repeat 3 

# weights:  305
initial  value 111.457340 
iter  10 value 94.676552
iter  20 value 94.544886
iter  30 value 94.489969
iter  40 value 91.931107
iter  50 value 87.327525
iter  60 value 87.128210
iter  70 value 86.434985
iter  80 value 85.710108
iter  90 value 85.641883
iter 100 value 85.636396
final  value 85.636396 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 121.973362 
iter  10 value 94.184720
iter  20 value 94.184036
iter  30 value 94.179687
iter  40 value 94.158206
iter  50 value 84.781138
iter  60 value 84.616300
iter  70 value 84.614930
final  value 84.614754 
converged
Fitting Repeat 5 

# weights:  305
initial  value 100.157557 
iter  10 value 94.488074
iter  20 value 93.493646
iter  30 value 86.884954
iter  40 value 84.439646
iter  50 value 84.435287
iter  60 value 84.434837
final  value 84.434685 
converged
Fitting Repeat 1 

# weights:  507
initial  value 105.944781 
iter  10 value 94.491545
iter  20 value 94.415594
iter  30 value 91.279056
iter  40 value 85.291247
iter  50 value 84.343461
iter  60 value 84.341961
iter  70 value 84.083649
iter  80 value 83.400971
iter  90 value 82.589743
iter 100 value 82.448093
final  value 82.448093 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 95.169621 
iter  10 value 94.283638
iter  20 value 93.509686
iter  30 value 85.900222
iter  40 value 84.635075
iter  50 value 84.342163
final  value 84.341112 
converged
Fitting Repeat 3 

# weights:  507
initial  value 103.110100 
iter  10 value 91.573663
iter  20 value 91.192393
iter  30 value 91.156900
iter  40 value 91.155555
iter  50 value 91.127683
iter  60 value 91.104627
iter  70 value 91.103414
iter  80 value 91.103208
iter  90 value 91.098190
iter 100 value 91.097441
final  value 91.097441 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 95.751235 
iter  10 value 88.444475
iter  20 value 88.416006
iter  30 value 86.530877
iter  40 value 86.380081
iter  50 value 85.989350
iter  60 value 83.249661
iter  70 value 82.932556
iter  80 value 82.916731
iter  90 value 82.915581
iter 100 value 82.788738
final  value 82.788738 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 98.589479 
iter  10 value 92.223078
iter  20 value 91.330098
iter  30 value 91.233300
iter  40 value 91.227961
iter  50 value 91.226810
iter  60 value 91.225542
iter  70 value 91.224697
iter  80 value 91.224063
iter  90 value 91.223185
iter 100 value 85.097471
final  value 85.097471 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.324158 
final  value 93.915746 
converged
Fitting Repeat 2 

# weights:  103
initial  value 105.405235 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.863625 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 103.060391 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 106.285732 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 109.985204 
final  value 93.628453 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.728354 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.995042 
iter  10 value 93.309430
iter  20 value 93.159435
iter  30 value 93.105125
final  value 93.104307 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.909509 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 104.415110 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 112.153110 
final  value 93.915746 
converged
Fitting Repeat 2 

# weights:  507
initial  value 102.118724 
iter  10 value 89.729438
iter  20 value 88.874590
iter  30 value 88.868400
final  value 88.868334 
converged
Fitting Repeat 3 

# weights:  507
initial  value 96.771757 
final  value 93.988096 
converged
Fitting Repeat 4 

# weights:  507
initial  value 117.872242 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 100.678408 
final  value 93.915746 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.267685 
iter  10 value 94.025271
iter  20 value 92.669514
iter  30 value 89.264204
iter  40 value 87.690927
iter  50 value 87.240086
iter  60 value 87.082430
iter  70 value 85.727380
iter  80 value 84.655854
iter  90 value 84.509589
iter 100 value 84.245818
final  value 84.245818 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 100.859751 
iter  10 value 94.056876
iter  20 value 94.039661
iter  30 value 93.338680
iter  40 value 89.584779
iter  50 value 89.309853
iter  60 value 85.356141
iter  70 value 84.681817
iter  80 value 84.314243
iter  90 value 84.084450
iter 100 value 84.058251
final  value 84.058251 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 107.792397 
iter  10 value 93.989560
iter  20 value 85.915369
iter  30 value 85.562447
iter  40 value 85.346190
iter  50 value 85.245952
iter  60 value 84.973307
iter  70 value 84.222724
iter  80 value 84.211711
iter  90 value 84.169879
iter 100 value 84.072839
final  value 84.072839 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 99.591646 
iter  10 value 94.056851
iter  20 value 93.655444
iter  30 value 90.319479
iter  40 value 86.727755
iter  50 value 84.687517
iter  60 value 84.399963
iter  70 value 84.171254
iter  80 value 84.094526
iter  90 value 82.868355
iter 100 value 82.565500
final  value 82.565500 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 106.311323 
iter  10 value 88.648078
iter  20 value 86.678947
iter  30 value 86.343355
iter  40 value 86.020892
iter  50 value 85.458600
iter  60 value 85.428712
final  value 85.428686 
converged
Fitting Repeat 1 

# weights:  305
initial  value 99.899461 
iter  10 value 92.179623
iter  20 value 86.581765
iter  30 value 85.952147
iter  40 value 85.112831
iter  50 value 84.495744
iter  60 value 83.426482
iter  70 value 82.020006
iter  80 value 81.903073
iter  90 value 81.539223
iter 100 value 81.447631
final  value 81.447631 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 110.707446 
iter  10 value 93.929000
iter  20 value 86.705645
iter  30 value 85.875642
iter  40 value 85.434610
iter  50 value 85.335285
iter  60 value 84.320906
iter  70 value 84.161499
iter  80 value 83.870163
iter  90 value 82.082080
iter 100 value 81.336431
final  value 81.336431 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.746666 
iter  10 value 94.226049
iter  20 value 89.275896
iter  30 value 83.646400
iter  40 value 83.014128
iter  50 value 81.866527
iter  60 value 81.405273
iter  70 value 81.050188
iter  80 value 80.898605
iter  90 value 80.692714
iter 100 value 80.666011
final  value 80.666011 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 112.175924 
iter  10 value 95.324972
iter  20 value 91.316504
iter  30 value 87.709906
iter  40 value 84.467734
iter  50 value 82.742378
iter  60 value 82.549223
iter  70 value 82.363567
iter  80 value 82.350202
iter  90 value 82.072127
iter 100 value 81.262424
final  value 81.262424 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.465130 
iter  10 value 94.164480
iter  20 value 93.986535
iter  30 value 91.931002
iter  40 value 86.008986
iter  50 value 85.524649
iter  60 value 85.216833
iter  70 value 84.396694
iter  80 value 83.763221
iter  90 value 82.380315
iter 100 value 81.731792
final  value 81.731792 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.602928 
iter  10 value 93.084154
iter  20 value 91.972364
iter  30 value 84.091321
iter  40 value 83.368653
iter  50 value 82.853560
iter  60 value 82.274383
iter  70 value 81.816195
iter  80 value 81.660237
iter  90 value 81.410761
iter 100 value 81.191423
final  value 81.191423 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.260517 
iter  10 value 94.087592
iter  20 value 90.282620
iter  30 value 89.316992
iter  40 value 88.473564
iter  50 value 84.804033
iter  60 value 82.469416
iter  70 value 81.971651
iter  80 value 81.828616
iter  90 value 81.542612
iter 100 value 80.986531
final  value 80.986531 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 116.179030 
iter  10 value 94.207651
iter  20 value 93.652497
iter  30 value 90.697168
iter  40 value 85.270976
iter  50 value 82.982012
iter  60 value 82.065529
iter  70 value 81.834342
iter  80 value 81.717341
iter  90 value 81.490827
iter 100 value 81.292197
final  value 81.292197 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 114.343647 
iter  10 value 94.708651
iter  20 value 92.257309
iter  30 value 87.156595
iter  40 value 85.965328
iter  50 value 85.479587
iter  60 value 85.035498
iter  70 value 83.918709
iter  80 value 82.465380
iter  90 value 82.046285
iter 100 value 81.598746
final  value 81.598746 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 105.446889 
iter  10 value 94.112922
iter  20 value 88.288624
iter  30 value 85.913833
iter  40 value 83.068642
iter  50 value 82.245618
iter  60 value 81.712715
iter  70 value 81.399260
iter  80 value 80.996521
iter  90 value 80.610583
iter 100 value 80.476770
final  value 80.476770 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 104.261886 
final  value 94.054350 
converged
Fitting Repeat 2 

# weights:  103
initial  value 109.698646 
final  value 94.054501 
converged
Fitting Repeat 3 

# weights:  103
initial  value 108.384433 
iter  10 value 94.076895
iter  20 value 94.073025
iter  30 value 94.052940
final  value 94.052914 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.545292 
iter  10 value 94.055185
iter  20 value 94.052906
iter  30 value 90.211264
iter  40 value 85.299525
iter  50 value 85.291830
iter  60 value 85.289683
iter  70 value 85.190622
iter  80 value 85.186927
final  value 85.186895 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.958335 
final  value 94.054419 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.055466 
iter  10 value 94.057888
iter  20 value 94.052997
iter  30 value 94.048865
iter  40 value 93.915901
iter  50 value 93.902917
iter  60 value 88.091099
iter  70 value 87.091450
iter  80 value 85.731134
iter  90 value 85.522059
iter 100 value 85.513552
final  value 85.513552 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 95.621998 
iter  10 value 93.995992
iter  20 value 93.925684
final  value 93.915984 
converged
Fitting Repeat 3 

# weights:  305
initial  value 101.647437 
iter  10 value 93.933541
iter  20 value 93.918774
final  value 93.918536 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.120887 
iter  10 value 93.993455
iter  20 value 93.962553
iter  30 value 93.914206
iter  40 value 86.013549
iter  50 value 85.950954
iter  60 value 85.915943
iter  70 value 84.199994
iter  80 value 83.854286
iter  90 value 83.819413
iter 100 value 83.818269
final  value 83.818269 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 107.173834 
iter  10 value 94.057725
iter  20 value 91.718352
iter  30 value 85.345620
iter  40 value 85.000584
iter  50 value 83.465745
iter  60 value 80.933132
iter  70 value 80.772150
iter  80 value 80.769877
iter  90 value 80.769770
iter 100 value 80.769703
final  value 80.769703 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 96.190897 
iter  10 value 93.541278
iter  20 value 93.369192
iter  30 value 93.000433
iter  40 value 86.857151
iter  50 value 85.278447
iter  60 value 84.873087
iter  70 value 84.590543
iter  80 value 84.584722
iter  90 value 83.305519
iter 100 value 83.149162
final  value 83.149162 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.493412 
iter  10 value 94.060916
iter  20 value 93.769449
iter  30 value 85.086704
iter  40 value 85.075814
final  value 85.075772 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.429877 
iter  10 value 93.924239
iter  20 value 93.916785
iter  30 value 88.175125
iter  40 value 84.588251
iter  50 value 83.606191
iter  60 value 83.022802
iter  70 value 82.732458
iter  80 value 82.547359
iter  90 value 82.407506
iter 100 value 82.403934
final  value 82.403934 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 92.155896 
iter  10 value 84.947225
iter  20 value 84.359458
iter  30 value 84.322298
iter  40 value 84.218447
iter  50 value 83.844394
iter  60 value 83.709594
iter  70 value 83.692254
iter  80 value 83.691579
iter  90 value 83.690194
iter 100 value 83.686181
final  value 83.686181 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 94.921012 
final  value 94.061211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 130.439579 
iter  10 value 117.843708
iter  20 value 117.654593
iter  30 value 113.912704
iter  40 value 109.421808
iter  50 value 108.528690
iter  60 value 105.252506
iter  70 value 103.282175
iter  80 value 102.508396
iter  90 value 102.093182
iter 100 value 101.326388
final  value 101.326388 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 158.510672 
iter  10 value 117.887719
iter  20 value 116.478969
iter  30 value 108.659016
iter  40 value 105.000382
iter  50 value 102.819603
iter  60 value 102.285571
iter  70 value 101.495013
iter  80 value 101.429345
iter  90 value 101.354141
iter 100 value 101.222364
final  value 101.222364 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 133.945991 
iter  10 value 117.984596
iter  20 value 111.484521
iter  30 value 109.512023
iter  40 value 108.263717
iter  50 value 106.909059
iter  60 value 104.722771
iter  70 value 103.851303
iter  80 value 103.347076
iter  90 value 102.702517
iter 100 value 101.959373
final  value 101.959373 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 142.667187 
iter  10 value 118.363703
iter  20 value 110.191552
iter  30 value 107.467272
iter  40 value 105.495294
iter  50 value 104.999371
iter  60 value 104.349710
iter  70 value 101.776225
iter  80 value 101.254755
iter  90 value 101.159477
iter 100 value 101.134621
final  value 101.134621 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 125.009629 
iter  10 value 117.301722
iter  20 value 108.449032
iter  30 value 107.338089
iter  40 value 106.539169
iter  50 value 103.870018
iter  60 value 102.606104
iter  70 value 102.136111
iter  80 value 102.018122
iter  90 value 101.947567
iter 100 value 101.757092
final  value 101.757092 
stopped after 100 iterations
svmRadial
ranger
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases


RUNIT TEST PROTOCOL -- Tue Oct 18 20:13:17 2022 
*********************************************** 
Number of test functions: 8 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
HPiP RUnit Tests - 8 test functions, 0 errors, 0 failures
Number of test functions: 8 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: The `.data` argument of `add_column()` must have unique names as of tibble
3.0.0.
ℹ Use `.name_repair = "minimal"`.
ℹ The deprecated feature was likely used in the tibble package.
  Please report the issue at <https://github.com/tidyverse/tibble/issues>. 
2: `repeats` has no meaning for this resampling method. 
3: executing %dopar% sequentially: no parallel backend registered 
> 
> 
> 
> 
> proc.time()
   user  system elapsed 
 41.438   3.412  47.709