##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.17-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.17-bioc/R/site-library --timings HPiP_1.5.4.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.17-bioc/meat/HPiP.Rcheck’
* using R version 4.3.0 alpha (2023-04-03 r84154)
* using platform: x86_64-pc-linux-gnu (64-bit)
* R was compiled by
    gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
    GNU Fortran (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
* running under: Ubuntu 22.04.2 LTS
* using session charset: UTF-8
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.5.4’
* 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 loading without being on the library search path ... 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
var_imp       37.249  1.076  38.326
FSmethod      34.810  0.568  35.379
corr_plot     34.568  0.588  35.157
pred_ensembel 14.111  0.676  11.030
getFASTA       0.485  0.012   5.084
enrichfindP    0.449  0.013  51.136
* 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 ...
  ‘HPiP_tutorial.Rmd’ using ‘UTF-8’... OK
 NONE
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 1 NOTE
See
  ‘/home/biocbuild/bbs-3.17-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.17-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.17-bioc/R/site-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 4.3.0 alpha (2023-04-03 r84154)
Copyright (C) 2023 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
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
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
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 105.059413 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 94.541438 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.567247 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.787063 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.229822 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.165130 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.376519 
final  value 94.252920 
converged
Fitting Repeat 3 

# weights:  305
initial  value 102.852796 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.530460 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 100.822207 
iter  10 value 94.276803
final  value 94.275371 
converged
Fitting Repeat 1 

# weights:  507
initial  value 118.417806 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 104.795775 
iter  10 value 91.922076
iter  20 value 91.609360
final  value 91.609200 
converged
Fitting Repeat 3 

# weights:  507
initial  value 97.045797 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.983070 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.372531 
final  value 94.482149 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.140941 
iter  10 value 94.466063
iter  20 value 92.382723
iter  30 value 90.913272
iter  40 value 88.313679
iter  50 value 87.874369
iter  60 value 87.649232
iter  70 value 85.929596
iter  80 value 81.971748
iter  90 value 81.715729
iter 100 value 81.411460
final  value 81.411460 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 101.466877 
iter  10 value 94.415485
iter  20 value 85.807221
iter  30 value 84.721647
iter  40 value 83.930837
iter  50 value 83.916308
iter  60 value 83.891918
iter  70 value 83.755301
final  value 83.744113 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.774003 
iter  10 value 94.373728
iter  20 value 88.807856
iter  30 value 85.065633
iter  40 value 84.454144
iter  50 value 83.993182
iter  60 value 83.882373
iter  70 value 83.756418
iter  80 value 83.744113
iter  80 value 83.744112
iter  80 value 83.744112
final  value 83.744112 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.634491 
iter  10 value 94.495259
iter  20 value 86.889458
iter  30 value 84.700418
iter  40 value 83.927672
iter  50 value 83.680811
iter  60 value 83.598747
iter  70 value 83.591996
iter  80 value 83.568906
iter  90 value 82.948084
iter 100 value 81.405374
final  value 81.405374 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 104.572087 
iter  10 value 94.433907
iter  20 value 85.002475
iter  30 value 84.487249
iter  40 value 84.388143
iter  50 value 84.261887
iter  60 value 83.080231
iter  70 value 82.618341
final  value 82.617865 
converged
Fitting Repeat 1 

# weights:  305
initial  value 108.663707 
iter  10 value 94.435248
iter  20 value 86.112344
iter  30 value 84.389658
iter  40 value 83.798521
iter  50 value 82.025653
iter  60 value 81.041480
iter  70 value 80.638000
iter  80 value 80.480005
iter  90 value 80.398187
iter 100 value 80.376573
final  value 80.376573 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.158480 
iter  10 value 94.197629
iter  20 value 93.501570
iter  30 value 93.451673
iter  40 value 91.282091
iter  50 value 89.517670
iter  60 value 86.690263
iter  70 value 82.514601
iter  80 value 81.467332
iter  90 value 81.086990
iter 100 value 80.630893
final  value 80.630893 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.502063 
iter  10 value 94.790973
iter  20 value 91.006593
iter  30 value 86.391451
iter  40 value 84.058735
iter  50 value 83.535226
iter  60 value 83.189862
iter  70 value 82.572761
iter  80 value 82.203670
iter  90 value 81.115567
iter 100 value 80.898386
final  value 80.898386 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 100.421514 
iter  10 value 94.520178
iter  20 value 93.907728
iter  30 value 85.213173
iter  40 value 84.795743
iter  50 value 84.095664
iter  60 value 80.562628
iter  70 value 79.915786
iter  80 value 79.812233
iter  90 value 79.787266
iter 100 value 79.543307
final  value 79.543307 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 110.322939 
iter  10 value 96.257612
iter  20 value 94.574905
iter  30 value 85.157191
iter  40 value 84.831321
iter  50 value 84.688692
iter  60 value 83.597847
iter  70 value 81.353585
iter  80 value 80.221177
iter  90 value 79.933897
iter 100 value 79.788978
final  value 79.788978 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 107.035702 
iter  10 value 94.766025
iter  20 value 94.484563
iter  30 value 94.156281
iter  40 value 88.837921
iter  50 value 85.832321
iter  60 value 85.086437
iter  70 value 84.803007
iter  80 value 83.686412
iter  90 value 81.747549
iter 100 value 81.078759
final  value 81.078759 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 108.692466 
iter  10 value 98.401376
iter  20 value 94.557054
iter  30 value 94.492878
iter  40 value 88.039758
iter  50 value 85.979178
iter  60 value 84.010273
iter  70 value 83.749065
iter  80 value 81.311420
iter  90 value 80.436123
iter 100 value 80.086929
final  value 80.086929 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.775627 
iter  10 value 93.650981
iter  20 value 85.338635
iter  30 value 84.487629
iter  40 value 81.529193
iter  50 value 80.951734
iter  60 value 80.671757
iter  70 value 80.422416
iter  80 value 79.937038
iter  90 value 79.703262
iter 100 value 79.619294
final  value 79.619294 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 110.227963 
iter  10 value 94.488125
iter  20 value 87.752168
iter  30 value 86.543106
iter  40 value 85.320392
iter  50 value 84.636446
iter  60 value 84.409394
iter  70 value 82.116103
iter  80 value 81.424152
iter  90 value 80.459547
iter 100 value 79.976271
final  value 79.976271 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 126.735649 
iter  10 value 95.409965
iter  20 value 90.034181
iter  30 value 83.085972
iter  40 value 82.005573
iter  50 value 81.643788
iter  60 value 80.541501
iter  70 value 79.864564
iter  80 value 79.351898
iter  90 value 79.216657
iter 100 value 79.161704
final  value 79.161704 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.606778 
final  value 94.485728 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.139927 
final  value 94.485696 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.077051 
final  value 94.485805 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.659317 
final  value 94.485922 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.807637 
final  value 94.485761 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.834183 
iter  10 value 94.293736
final  value 94.293566 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.118399 
iter  10 value 83.419817
iter  20 value 83.338810
iter  30 value 83.336752
iter  40 value 83.334671
iter  50 value 83.214353
iter  60 value 83.055972
final  value 83.055292 
converged
Fitting Repeat 3 

# weights:  305
initial  value 94.708452 
iter  10 value 94.485408
final  value 94.484220 
converged
Fitting Repeat 4 

# weights:  305
initial  value 99.945295 
iter  10 value 93.824344
iter  20 value 93.305137
iter  30 value 93.289550
iter  40 value 93.278091
iter  50 value 93.277253
iter  50 value 93.277252
final  value 93.277250 
converged
Fitting Repeat 5 

# weights:  305
initial  value 98.497625 
iter  10 value 94.488475
iter  20 value 94.475516
iter  30 value 90.618852
iter  40 value 84.833906
final  value 84.739287 
converged
Fitting Repeat 1 

# weights:  507
initial  value 109.136380 
iter  10 value 90.270520
iter  20 value 87.503608
iter  30 value 87.389896
iter  40 value 85.373595
iter  50 value 85.318573
iter  60 value 85.317487
final  value 85.317342 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.343912 
iter  10 value 94.451313
iter  20 value 93.698019
iter  30 value 84.529156
iter  40 value 80.381750
iter  50 value 80.321246
iter  60 value 80.321078
iter  70 value 80.320157
final  value 80.319876 
converged
Fitting Repeat 3 

# weights:  507
initial  value 97.492969 
iter  10 value 92.795923
iter  20 value 92.793569
iter  30 value 91.533829
iter  40 value 85.010498
iter  50 value 84.958387
iter  60 value 84.956183
iter  70 value 84.955792
iter  70 value 84.955792
final  value 84.955792 
converged
Fitting Repeat 4 

# weights:  507
initial  value 99.934787 
iter  10 value 94.450985
iter  20 value 92.418655
iter  30 value 91.200070
iter  40 value 85.741586
iter  50 value 80.732719
iter  60 value 80.575276
iter  70 value 80.403761
iter  80 value 80.402170
iter  90 value 79.669652
iter 100 value 79.347596
final  value 79.347596 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 116.197432 
iter  10 value 94.491784
iter  20 value 94.167941
iter  30 value 85.244922
iter  40 value 85.240421
iter  50 value 85.236718
iter  60 value 85.234977
iter  70 value 83.582812
iter  80 value 83.187693
iter  90 value 82.546919
iter 100 value 82.080655
final  value 82.080655 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.941717 
final  value 93.637380 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.234845 
final  value 94.275362 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.173981 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.603192 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 106.829231 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.334155 
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.600048 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.576570 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 107.034076 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 94.979374 
final  value 94.461207 
converged
Fitting Repeat 1 

# weights:  507
initial  value 100.966807 
iter  10 value 92.008364
iter  20 value 90.934276
iter  30 value 90.743657
final  value 90.743596 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.313148 
final  value 94.275362 
converged
Fitting Repeat 3 

# weights:  507
initial  value 110.189350 
final  value 93.942286 
converged
Fitting Repeat 4 

# weights:  507
initial  value 96.783053 
final  value 94.275362 
converged
Fitting Repeat 5 

# weights:  507
initial  value 106.947402 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  103
initial  value 103.096604 
iter  10 value 94.477104
iter  20 value 94.319769
iter  30 value 94.065778
iter  40 value 93.343655
iter  50 value 91.489951
iter  60 value 86.699014
iter  70 value 85.663951
iter  80 value 85.205112
iter  90 value 82.679682
iter 100 value 80.566650
final  value 80.566650 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 114.980059 
iter  10 value 94.458122
iter  20 value 93.521395
iter  30 value 93.398149
iter  40 value 93.391594
iter  50 value 93.384660
iter  60 value 85.125476
iter  70 value 84.060450
iter  80 value 83.549108
iter  90 value 83.208622
iter 100 value 82.200980
final  value 82.200980 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 102.519604 
iter  10 value 92.981336
iter  20 value 86.034814
iter  30 value 85.478487
iter  40 value 84.926197
iter  50 value 83.430983
iter  60 value 82.605104
iter  70 value 81.683309
iter  80 value 80.437052
iter  90 value 80.333923
final  value 80.333865 
converged
Fitting Repeat 4 

# weights:  103
initial  value 110.422739 
iter  10 value 94.482545
iter  20 value 93.742710
iter  30 value 92.992577
iter  40 value 89.139681
iter  50 value 83.665639
iter  60 value 82.996006
iter  70 value 81.865854
iter  80 value 81.244150
iter  90 value 80.745299
iter 100 value 80.550805
final  value 80.550805 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 100.496125 
iter  10 value 94.436960
iter  20 value 93.788798
iter  30 value 93.731776
iter  40 value 93.702697
iter  50 value 92.360192
iter  60 value 87.409633
iter  70 value 85.164552
iter  80 value 84.257311
iter  90 value 83.040248
iter 100 value 82.064346
final  value 82.064346 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 100.559949 
iter  10 value 94.297894
iter  20 value 88.608444
iter  30 value 85.336972
iter  40 value 83.962603
iter  50 value 82.226473
iter  60 value 81.815769
iter  70 value 80.480407
iter  80 value 80.426027
iter  90 value 80.259884
iter 100 value 79.853249
final  value 79.853249 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 102.261950 
iter  10 value 94.299452
iter  20 value 86.650559
iter  30 value 83.937076
iter  40 value 81.551827
iter  50 value 80.301108
iter  60 value 80.187438
iter  70 value 79.774778
iter  80 value 79.550726
iter  90 value 79.045132
iter 100 value 78.942316
final  value 78.942316 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 102.683981 
iter  10 value 95.041648
iter  20 value 92.329600
iter  30 value 91.141382
iter  40 value 87.262790
iter  50 value 86.952883
iter  60 value 84.657919
iter  70 value 81.539275
iter  80 value 80.032117
iter  90 value 79.500559
iter 100 value 79.293868
final  value 79.293868 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 111.828296 
iter  10 value 93.357820
iter  20 value 85.420580
iter  30 value 85.128507
iter  40 value 83.293260
iter  50 value 82.826666
iter  60 value 81.715860
iter  70 value 80.253203
iter  80 value 79.606157
iter  90 value 79.568985
iter 100 value 79.505712
final  value 79.505712 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 113.624777 
iter  10 value 94.461315
iter  20 value 89.166041
iter  30 value 86.878240
iter  40 value 84.981893
iter  50 value 82.162587
iter  60 value 81.561913
iter  70 value 81.371735
iter  80 value 81.090558
iter  90 value 80.744665
iter 100 value 80.460055
final  value 80.460055 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 110.366741 
iter  10 value 94.208778
iter  20 value 87.984917
iter  30 value 85.405664
iter  40 value 84.910542
iter  50 value 84.082777
iter  60 value 81.023058
iter  70 value 80.013725
iter  80 value 79.107275
iter  90 value 78.971393
iter 100 value 78.900891
final  value 78.900891 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 109.522030 
iter  10 value 94.623075
iter  20 value 91.845779
iter  30 value 87.304663
iter  40 value 83.987190
iter  50 value 83.371305
iter  60 value 82.806107
iter  70 value 81.221883
iter  80 value 80.412220
iter  90 value 80.268832
iter 100 value 80.071907
final  value 80.071907 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.817286 
iter  10 value 98.592490
iter  20 value 93.564725
iter  30 value 86.516253
iter  40 value 85.444960
iter  50 value 82.507178
iter  60 value 81.594456
iter  70 value 81.073057
iter  80 value 80.552421
iter  90 value 80.267108
iter 100 value 80.108858
final  value 80.108858 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 103.781539 
iter  10 value 95.260768
iter  20 value 89.556919
iter  30 value 86.388616
iter  40 value 82.889254
iter  50 value 80.591667
iter  60 value 79.905807
iter  70 value 79.407755
iter  80 value 79.365750
iter  90 value 79.208233
iter 100 value 79.050549
final  value 79.050549 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 109.981453 
iter  10 value 93.361774
iter  20 value 91.987195
iter  30 value 91.054838
iter  40 value 89.594239
iter  50 value 86.398347
iter  60 value 82.591448
iter  70 value 81.565446
iter  80 value 80.267785
iter  90 value 79.885509
iter 100 value 79.669510
final  value 79.669510 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.908724 
iter  10 value 94.486116
iter  20 value 94.484217
final  value 94.484213 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.668983 
iter  10 value 92.126789
iter  20 value 91.335790
iter  30 value 91.311123
final  value 91.307962 
converged
Fitting Repeat 3 

# weights:  103
initial  value 121.141421 
iter  10 value 94.485800
iter  20 value 94.087175
iter  30 value 86.634045
iter  40 value 86.631159
iter  50 value 86.628589
iter  60 value 86.627748
final  value 86.627746 
converged
Fitting Repeat 4 

# weights:  103
initial  value 105.100871 
final  value 94.486020 
converged
Fitting Repeat 5 

# weights:  103
initial  value 117.285345 
final  value 94.485929 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.564537 
iter  10 value 87.792793
iter  20 value 84.919927
iter  30 value 84.197667
iter  40 value 83.934882
iter  50 value 83.717122
iter  60 value 83.712365
iter  70 value 83.711731
iter  80 value 83.711418
iter  80 value 83.711418
final  value 83.711418 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.729512 
iter  10 value 94.488963
iter  20 value 94.465244
iter  30 value 94.462221
iter  40 value 84.085201
iter  50 value 83.602138
iter  60 value 83.440981
iter  70 value 83.374536
iter  70 value 83.374536
iter  70 value 83.374536
final  value 83.374536 
converged
Fitting Repeat 3 

# weights:  305
initial  value 105.001960 
iter  10 value 94.479248
iter  20 value 94.347123
iter  30 value 93.654128
iter  40 value 93.493280
final  value 93.493244 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.397466 
iter  10 value 94.488402
iter  20 value 94.177014
iter  30 value 87.337379
iter  40 value 85.937222
iter  50 value 85.935180
iter  60 value 85.903058
iter  70 value 85.500118
iter  80 value 85.498868
iter  80 value 85.498867
final  value 85.498867 
converged
Fitting Repeat 5 

# weights:  305
initial  value 114.389730 
iter  10 value 94.488950
iter  20 value 94.484288
iter  30 value 94.008512
iter  40 value 86.730059
iter  50 value 84.381631
iter  60 value 84.324981
iter  70 value 84.278734
iter  80 value 84.242783
iter  90 value 84.242636
final  value 84.242537 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.209206 
iter  10 value 94.474637
iter  20 value 94.338433
iter  30 value 87.990761
iter  40 value 86.006214
iter  50 value 84.095781
iter  60 value 84.006952
final  value 84.005656 
converged
Fitting Repeat 2 

# weights:  507
initial  value 107.856444 
iter  10 value 88.280998
iter  20 value 87.118206
iter  30 value 86.953405
iter  40 value 86.945843
iter  50 value 86.888765
final  value 86.888506 
converged
Fitting Repeat 3 

# weights:  507
initial  value 116.898590 
iter  10 value 93.930981
iter  20 value 93.925804
iter  30 value 93.922890
iter  40 value 93.639717
iter  50 value 93.542743
final  value 93.542732 
converged
Fitting Repeat 4 

# weights:  507
initial  value 131.673871 
iter  10 value 94.574678
iter  20 value 88.997890
iter  30 value 84.847412
iter  40 value 84.822423
final  value 84.821295 
converged
Fitting Repeat 5 

# weights:  507
initial  value 111.650320 
iter  10 value 92.280374
iter  20 value 85.115244
iter  30 value 84.939348
iter  40 value 83.638262
iter  50 value 83.636267
iter  60 value 83.610345
iter  70 value 82.993040
iter  80 value 82.186980
iter  90 value 81.346589
iter 100 value 81.272882
final  value 81.272882 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.714833 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.687289 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.242715 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.855810 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.616972 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 109.841043 
final  value 93.915746 
converged
Fitting Repeat 2 

# weights:  305
initial  value 98.845892 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.314813 
final  value 93.763751 
converged
Fitting Repeat 4 

# weights:  305
initial  value 104.417618 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 98.657305 
final  value 93.915746 
converged
Fitting Repeat 1 

# weights:  507
initial  value 104.341685 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 96.252659 
iter  10 value 94.053144
iter  20 value 94.047362
iter  30 value 93.928469
final  value 93.912644 
converged
Fitting Repeat 3 

# weights:  507
initial  value 100.666501 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 112.183089 
final  value 93.912644 
converged
Fitting Repeat 5 

# weights:  507
initial  value 98.810732 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.469736 
iter  10 value 93.656661
iter  20 value 90.353937
iter  30 value 86.579029
iter  40 value 85.500003
iter  50 value 84.417197
iter  60 value 83.453427
iter  70 value 83.060393
iter  80 value 82.990334
iter  90 value 82.866951
iter 100 value 82.816514
final  value 82.816514 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 98.404693 
iter  10 value 93.795241
iter  20 value 93.087104
iter  30 value 92.037880
iter  40 value 91.521731
iter  50 value 90.839394
iter  60 value 86.340627
iter  70 value 83.661246
iter  80 value 83.460446
iter  90 value 83.077252
iter 100 value 82.895230
final  value 82.895230 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 103.957912 
iter  10 value 94.357623
iter  20 value 94.048064
iter  30 value 93.815729
iter  40 value 93.797568
iter  50 value 92.971140
iter  60 value 87.729174
iter  70 value 87.120599
iter  80 value 86.406173
iter  90 value 85.906827
iter 100 value 85.767624
final  value 85.767624 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 98.511458 
iter  10 value 94.062808
iter  20 value 94.057250
iter  30 value 93.710074
iter  40 value 93.528086
iter  50 value 93.490614
iter  60 value 90.280817
iter  70 value 89.826257
iter  80 value 88.670152
iter  90 value 86.262894
iter 100 value 85.512295
final  value 85.512295 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 96.756142 
iter  10 value 93.900527
iter  20 value 87.459912
iter  30 value 85.974611
iter  40 value 85.221355
iter  50 value 85.170949
iter  60 value 85.158090
final  value 85.157701 
converged
Fitting Repeat 1 

# weights:  305
initial  value 111.430712 
iter  10 value 94.256061
iter  20 value 86.167336
iter  30 value 85.632363
iter  40 value 85.463720
iter  50 value 85.404368
iter  60 value 84.624890
iter  70 value 83.180808
iter  80 value 82.780036
iter  90 value 82.500575
iter 100 value 82.385244
final  value 82.385244 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 104.432863 
iter  10 value 95.956036
iter  20 value 94.574285
iter  30 value 90.574030
iter  40 value 85.370275
iter  50 value 84.699408
iter  60 value 83.535191
iter  70 value 83.341360
iter  80 value 82.893925
iter  90 value 82.625655
iter 100 value 82.529322
final  value 82.529322 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 98.738990 
iter  10 value 90.366747
iter  20 value 87.132557
iter  30 value 86.557292
iter  40 value 84.365256
iter  50 value 83.775997
iter  60 value 82.826762
iter  70 value 82.406456
iter  80 value 81.983877
iter  90 value 81.694216
iter 100 value 81.639272
final  value 81.639272 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 102.257085 
iter  10 value 94.436599
iter  20 value 86.365154
iter  30 value 85.249840
iter  40 value 84.972153
iter  50 value 83.762294
iter  60 value 83.255481
iter  70 value 83.143237
iter  80 value 82.899008
iter  90 value 82.570639
iter 100 value 82.204715
final  value 82.204715 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 104.741748 
iter  10 value 94.018556
iter  20 value 92.733547
iter  30 value 86.368469
iter  40 value 85.438431
iter  50 value 85.198947
iter  60 value 84.712456
iter  70 value 83.620417
iter  80 value 83.106787
iter  90 value 82.982107
iter 100 value 82.916043
final  value 82.916043 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 102.580334 
iter  10 value 97.143579
iter  20 value 90.282003
iter  30 value 85.139377
iter  40 value 84.853297
iter  50 value 84.058149
iter  60 value 83.389228
iter  70 value 82.338581
iter  80 value 82.094345
iter  90 value 81.846628
iter 100 value 81.723299
final  value 81.723299 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 114.258791 
iter  10 value 93.889800
iter  20 value 86.009715
iter  30 value 84.814558
iter  40 value 82.861651
iter  50 value 82.287880
iter  60 value 82.009839
iter  70 value 81.863130
iter  80 value 81.787912
iter  90 value 81.732850
iter 100 value 81.609235
final  value 81.609235 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 110.524029 
iter  10 value 94.331024
iter  20 value 88.816582
iter  30 value 85.870150
iter  40 value 85.678559
iter  50 value 85.282379
iter  60 value 84.935230
iter  70 value 84.388780
iter  80 value 83.605258
iter  90 value 83.049198
iter 100 value 82.423680
final  value 82.423680 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 102.450730 
iter  10 value 93.402868
iter  20 value 87.087107
iter  30 value 86.800717
iter  40 value 86.188776
iter  50 value 85.509344
iter  60 value 84.859809
iter  70 value 84.156827
iter  80 value 83.670528
iter  90 value 82.372496
iter 100 value 81.878157
final  value 81.878157 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 117.454645 
iter  10 value 94.467591
iter  20 value 88.157832
iter  30 value 85.980663
iter  40 value 84.399019
iter  50 value 83.142303
iter  60 value 82.642206
iter  70 value 81.857940
iter  80 value 81.580258
iter  90 value 81.527892
iter 100 value 81.476724
final  value 81.476724 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 113.162829 
iter  10 value 94.054817
iter  20 value 94.052924
iter  20 value 94.052924
iter  20 value 94.052924
final  value 94.052924 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.186236 
iter  10 value 89.357157
iter  20 value 84.625743
iter  30 value 84.620500
iter  40 value 84.332155
iter  50 value 83.770816
iter  60 value 83.337655
final  value 83.337218 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.735126 
final  value 94.054783 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.736728 
final  value 94.055448 
converged
Fitting Repeat 5 

# weights:  103
initial  value 113.983687 
final  value 94.054580 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.973633 
iter  10 value 94.058097
final  value 94.053186 
converged
Fitting Repeat 2 

# weights:  305
initial  value 105.784861 
iter  10 value 94.057650
iter  20 value 94.052952
final  value 94.052950 
converged
Fitting Repeat 3 

# weights:  305
initial  value 107.244993 
iter  10 value 94.058156
iter  20 value 93.999331
iter  30 value 92.833556
iter  40 value 92.806413
iter  50 value 92.805720
iter  60 value 92.698847
iter  70 value 92.698190
final  value 92.698041 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.970050 
iter  10 value 93.771278
iter  20 value 93.059865
iter  30 value 84.791749
iter  40 value 84.789235
iter  50 value 84.787955
iter  60 value 84.765476
iter  70 value 83.841330
iter  80 value 83.828057
iter  90 value 83.805450
iter 100 value 83.746263
final  value 83.746263 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 106.734404 
iter  10 value 94.057835
iter  20 value 94.049565
iter  30 value 87.828424
final  value 87.824515 
converged
Fitting Repeat 1 

# weights:  507
initial  value 99.569769 
iter  10 value 94.060315
iter  20 value 89.797642
iter  30 value 86.231920
iter  40 value 85.793256
final  value 85.792372 
converged
Fitting Repeat 2 

# weights:  507
initial  value 103.752449 
iter  10 value 94.059009
iter  20 value 94.029839
final  value 93.912805 
converged
Fitting Repeat 3 

# weights:  507
initial  value 119.979006 
iter  10 value 94.061630
iter  20 value 94.052997
iter  30 value 91.044510
iter  40 value 85.707833
iter  50 value 85.304106
iter  60 value 82.815966
iter  70 value 82.255557
iter  80 value 82.107739
iter  90 value 81.963719
iter 100 value 81.955278
final  value 81.955278 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 103.247828 
iter  10 value 93.017432
iter  20 value 92.885392
iter  30 value 92.881494
iter  40 value 86.608921
iter  50 value 86.560000
iter  60 value 86.424828
iter  70 value 86.422495
iter  80 value 84.469651
iter  90 value 84.407281
final  value 84.407064 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.586214 
iter  10 value 93.489974
iter  20 value 93.430874
iter  30 value 93.425103
iter  40 value 91.018554
final  value 86.619600 
converged
Fitting Repeat 1 

# weights:  103
initial  value 95.384633 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.364105 
iter  10 value 94.026559
final  value 94.026542 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.391422 
final  value 94.026542 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.502459 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.420946 
iter  10 value 94.028986
final  value 94.026542 
converged
Fitting Repeat 1 

# weights:  305
initial  value 115.945029 
final  value 94.026542 
converged
Fitting Repeat 2 

# weights:  305
initial  value 101.455367 
iter  10 value 94.265747
iter  20 value 94.264862
final  value 94.264858 
converged
Fitting Repeat 3 

# weights:  305
initial  value 101.816517 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.298401 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 105.073045 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 106.950721 
iter  10 value 93.143619
iter  20 value 89.658977
final  value 89.656973 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.998745 
iter  10 value 94.101715
iter  20 value 94.007925
final  value 94.007667 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.355593 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 123.019039 
iter  10 value 94.484211
iter  10 value 94.484211
iter  10 value 94.484211
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 112.554610 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.261530 
iter  10 value 94.262760
iter  20 value 92.896392
iter  30 value 92.669362
iter  40 value 92.631560
final  value 92.631296 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.772146 
iter  10 value 94.488697
iter  20 value 94.390510
iter  30 value 94.215112
iter  40 value 93.490106
iter  50 value 91.769255
iter  60 value 89.300618
iter  70 value 89.017957
iter  80 value 88.645832
iter  90 value 84.079562
iter 100 value 82.918039
final  value 82.918039 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 99.088761 
iter  10 value 94.488509
iter  20 value 94.135677
iter  30 value 94.126019
iter  40 value 94.074490
iter  50 value 86.521557
iter  60 value 85.698545
iter  70 value 85.421537
iter  80 value 85.281912
iter  90 value 83.889273
iter 100 value 83.275067
final  value 83.275067 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 98.129565 
iter  10 value 94.461116
iter  20 value 93.335151
iter  30 value 93.260569
iter  40 value 93.211415
iter  50 value 93.067301
iter  60 value 89.802294
iter  70 value 88.198079
iter  80 value 87.495417
iter  90 value 85.895864
iter 100 value 85.105586
final  value 85.105586 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 99.099351 
iter  10 value 94.505957
iter  20 value 92.150079
iter  30 value 90.956304
iter  40 value 88.993458
iter  50 value 86.186731
iter  60 value 84.955620
iter  70 value 84.179751
iter  80 value 83.843577
iter  90 value 83.841877
final  value 83.841852 
converged
Fitting Repeat 1 

# weights:  305
initial  value 123.366932 
iter  10 value 94.620843
iter  20 value 94.535372
iter  30 value 89.389831
iter  40 value 88.097685
iter  50 value 84.684430
iter  60 value 83.218299
iter  70 value 82.273211
iter  80 value 81.901187
iter  90 value 81.619076
iter 100 value 81.525861
final  value 81.525861 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 107.541137 
iter  10 value 94.452977
iter  20 value 94.143778
iter  30 value 92.976214
iter  40 value 88.210775
iter  50 value 84.222261
iter  60 value 82.222411
iter  70 value 81.834062
iter  80 value 81.748586
iter  90 value 81.522831
iter 100 value 81.312549
final  value 81.312549 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.759781 
iter  10 value 94.204807
iter  20 value 89.335888
iter  30 value 86.667199
iter  40 value 84.709948
iter  50 value 83.897473
iter  60 value 83.758109
iter  70 value 83.730698
iter  80 value 83.302543
iter  90 value 82.680152
iter 100 value 81.711432
final  value 81.711432 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 108.943766 
iter  10 value 95.119257
iter  20 value 94.597230
iter  30 value 94.192194
iter  40 value 89.849328
iter  50 value 86.583509
iter  60 value 85.769728
iter  70 value 85.488359
iter  80 value 84.824253
iter  90 value 84.656293
iter 100 value 84.181913
final  value 84.181913 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 122.697780 
iter  10 value 94.627800
iter  20 value 89.575233
iter  30 value 85.529218
iter  40 value 85.199191
iter  50 value 84.918103
iter  60 value 84.862474
iter  70 value 84.747632
iter  80 value 84.593095
iter  90 value 84.073549
iter 100 value 83.982460
final  value 83.982460 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 129.309511 
iter  10 value 94.856316
iter  20 value 94.442890
iter  30 value 91.415555
iter  40 value 88.699152
iter  50 value 83.785993
iter  60 value 82.407296
iter  70 value 81.801913
iter  80 value 81.658048
iter  90 value 81.533365
iter 100 value 81.412137
final  value 81.412137 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 119.579883 
iter  10 value 94.323556
iter  20 value 86.839204
iter  30 value 85.983686
iter  40 value 85.650497
iter  50 value 85.336972
iter  60 value 84.885360
iter  70 value 82.942603
iter  80 value 81.674011
iter  90 value 81.345154
iter 100 value 81.254935
final  value 81.254935 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 111.524782 
iter  10 value 95.252074
iter  20 value 94.191625
iter  30 value 90.139833
iter  40 value 84.278636
iter  50 value 82.685911
iter  60 value 81.947780
iter  70 value 81.611590
iter  80 value 81.267007
iter  90 value 81.221259
iter 100 value 80.990898
final  value 80.990898 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 133.560100 
iter  10 value 94.402162
iter  20 value 91.055380
iter  30 value 87.073716
iter  40 value 83.767026
iter  50 value 82.863426
iter  60 value 82.225625
iter  70 value 82.100822
iter  80 value 81.837219
iter  90 value 81.673335
iter 100 value 81.412288
final  value 81.412288 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 111.026833 
iter  10 value 96.012856
iter  20 value 92.967480
iter  30 value 91.629587
iter  40 value 85.273614
iter  50 value 84.436730
iter  60 value 84.016118
iter  70 value 83.978494
iter  80 value 83.944418
iter  90 value 83.833390
iter 100 value 83.618662
final  value 83.618662 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 114.992776 
iter  10 value 94.038692
iter  20 value 94.028239
iter  30 value 93.937587
iter  40 value 89.042662
iter  50 value 88.832319
iter  60 value 88.740597
iter  70 value 88.301692
final  value 88.301071 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.030735 
iter  10 value 92.616427
iter  20 value 92.615636
iter  30 value 92.614913
iter  40 value 92.614713
iter  50 value 92.143430
iter  60 value 92.133010
iter  70 value 92.132886
final  value 92.132861 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.946462 
final  value 94.485832 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.872719 
final  value 94.485813 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.776552 
final  value 94.486019 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.220132 
iter  10 value 94.031816
iter  20 value 94.020492
iter  30 value 93.970103
iter  40 value 93.969657
final  value 93.969590 
converged
Fitting Repeat 2 

# weights:  305
initial  value 108.155865 
iter  10 value 94.031902
iter  20 value 94.025847
iter  30 value 93.970279
final  value 93.969497 
converged
Fitting Repeat 3 

# weights:  305
initial  value 122.883601 
iter  10 value 94.032015
iter  20 value 94.029854
iter  30 value 93.837447
iter  40 value 92.295028
iter  50 value 92.233624
final  value 92.233542 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.914359 
iter  10 value 94.489345
iter  20 value 94.182705
iter  30 value 84.732594
iter  40 value 84.730872
iter  50 value 84.579134
iter  60 value 84.557379
iter  70 value 84.478192
iter  80 value 84.474861
iter  90 value 83.645509
iter 100 value 82.771663
final  value 82.771663 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 111.118847 
iter  10 value 94.489201
iter  20 value 89.283297
final  value 89.213100 
converged
Fitting Repeat 1 

# weights:  507
initial  value 106.230261 
iter  10 value 94.053760
iter  20 value 94.038138
iter  30 value 93.969970
iter  40 value 93.964629
iter  50 value 86.243247
iter  60 value 83.235669
iter  70 value 82.803769
iter  80 value 82.769516
iter  90 value 82.764254
iter 100 value 82.289036
final  value 82.289036 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 100.715434 
iter  10 value 94.492437
iter  20 value 94.484553
iter  30 value 94.027005
final  value 94.026958 
converged
Fitting Repeat 3 

# weights:  507
initial  value 97.916919 
iter  10 value 93.438837
iter  20 value 93.431674
iter  30 value 92.912772
iter  40 value 92.865111
iter  50 value 92.863769
final  value 92.863520 
converged
Fitting Repeat 4 

# weights:  507
initial  value 101.870875 
iter  10 value 94.035442
iter  20 value 93.982849
iter  30 value 87.249547
iter  40 value 82.729931
iter  50 value 82.266345
iter  60 value 82.189857
iter  70 value 82.151901
iter  80 value 82.119187
iter  90 value 82.117247
iter 100 value 82.066130
final  value 82.066130 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 109.145495 
iter  10 value 94.493608
iter  20 value 94.485248
iter  30 value 87.011366
iter  40 value 86.122910
iter  50 value 85.846906
iter  60 value 85.841814
final  value 85.838209 
converged
Fitting Repeat 1 

# weights:  103
initial  value 95.795896 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.757292 
final  value 93.904720 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.395834 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 110.030986 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.127201 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 103.029551 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 102.099108 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.358564 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.341023 
iter  10 value 94.038791
final  value 94.038251 
converged
Fitting Repeat 5 

# weights:  305
initial  value 110.643033 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.723412 
final  value 94.025289 
converged
Fitting Repeat 2 

# weights:  507
initial  value 98.373248 
final  value 93.890110 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.896780 
final  value 94.038251 
converged
Fitting Repeat 4 

# weights:  507
initial  value 95.250272 
iter  10 value 94.028421
final  value 94.027933 
converged
Fitting Repeat 5 

# weights:  507
initial  value 101.224587 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 102.070660 
iter  10 value 94.056657
iter  20 value 91.853483
iter  30 value 88.164690
iter  40 value 85.866211
iter  50 value 85.186975
iter  60 value 84.784035
iter  70 value 84.041587
iter  80 value 83.815563
iter  90 value 83.561199
final  value 83.550200 
converged
Fitting Repeat 2 

# weights:  103
initial  value 113.094764 
iter  10 value 95.311025
iter  20 value 94.044921
iter  30 value 93.318988
iter  40 value 86.860210
iter  50 value 85.886590
iter  60 value 85.675159
iter  70 value 83.337776
iter  80 value 82.279046
iter  90 value 81.299188
iter 100 value 80.797317
final  value 80.797317 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 104.973617 
iter  10 value 94.134193
iter  20 value 93.763270
iter  30 value 88.660307
iter  40 value 87.351706
iter  50 value 87.037147
iter  60 value 85.030985
iter  70 value 84.459739
iter  80 value 83.682222
iter  90 value 83.551169
final  value 83.550200 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.722442 
iter  10 value 94.055194
iter  20 value 94.025865
iter  30 value 91.482588
iter  40 value 88.514242
iter  50 value 87.086787
iter  60 value 86.065674
iter  70 value 83.770087
iter  80 value 83.467506
iter  90 value 83.378515
iter 100 value 82.902232
final  value 82.902232 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 117.253706 
iter  10 value 94.102610
iter  20 value 94.056815
iter  30 value 94.010883
iter  40 value 87.823582
iter  50 value 87.075829
iter  60 value 86.620013
iter  70 value 86.472851
iter  80 value 86.306983
iter  90 value 83.637960
iter 100 value 83.619069
final  value 83.619069 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 115.701048 
iter  10 value 94.054867
iter  20 value 85.762296
iter  30 value 83.896581
iter  40 value 83.431669
iter  50 value 83.339702
iter  60 value 82.937696
iter  70 value 82.705149
iter  80 value 80.864105
iter  90 value 80.490553
iter 100 value 80.150002
final  value 80.150002 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 108.159081 
iter  10 value 94.052169
iter  20 value 88.515815
iter  30 value 85.151835
iter  40 value 84.979653
iter  50 value 84.363689
iter  60 value 81.371941
iter  70 value 81.316845
iter  80 value 81.190222
iter  90 value 81.073112
iter 100 value 80.859869
final  value 80.859869 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 108.670208 
iter  10 value 89.049470
iter  20 value 84.993593
iter  30 value 84.890408
iter  40 value 84.290361
iter  50 value 82.631955
iter  60 value 80.800688
iter  70 value 80.197557
iter  80 value 79.934422
iter  90 value 79.603464
iter 100 value 78.869149
final  value 78.869149 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 104.965181 
iter  10 value 92.898798
iter  20 value 87.753891
iter  30 value 84.618511
iter  40 value 84.161249
iter  50 value 83.868587
iter  60 value 83.823096
iter  70 value 83.717945
iter  80 value 83.637980
iter  90 value 83.256261
iter 100 value 80.966351
final  value 80.966351 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 99.493970 
iter  10 value 94.052555
iter  20 value 93.574645
iter  30 value 89.429206
iter  40 value 88.382327
iter  50 value 88.037415
iter  60 value 86.924903
iter  70 value 84.977021
iter  80 value 81.835512
iter  90 value 81.119153
iter 100 value 80.933195
final  value 80.933195 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 103.449021 
iter  10 value 97.106584
iter  20 value 88.342072
iter  30 value 84.668976
iter  40 value 82.418398
iter  50 value 81.800294
iter  60 value 81.381463
iter  70 value 81.254827
iter  80 value 81.100301
iter  90 value 80.812596
iter 100 value 79.997608
final  value 79.997608 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.721711 
iter  10 value 94.125261
iter  20 value 88.144172
iter  30 value 85.457933
iter  40 value 83.243288
iter  50 value 81.197974
iter  60 value 80.577886
iter  70 value 79.817237
iter  80 value 79.429304
iter  90 value 79.260552
iter 100 value 78.976273
final  value 78.976273 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 127.143449 
iter  10 value 94.101585
iter  20 value 93.496166
iter  30 value 90.022997
iter  40 value 83.533625
iter  50 value 80.496016
iter  60 value 79.694132
iter  70 value 79.333668
iter  80 value 79.269175
iter  90 value 79.147310
iter 100 value 79.097463
final  value 79.097463 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 105.008470 
iter  10 value 93.978723
iter  20 value 85.919653
iter  30 value 83.365149
iter  40 value 81.721461
iter  50 value 79.690778
iter  60 value 79.349201
iter  70 value 79.114835
iter  80 value 79.084636
iter  90 value 79.077543
iter 100 value 79.055244
final  value 79.055244 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 110.411651 
iter  10 value 94.001026
iter  20 value 89.104125
iter  30 value 85.641948
iter  40 value 82.421482
iter  50 value 81.515883
iter  60 value 80.484962
iter  70 value 80.152774
iter  80 value 79.913441
iter  90 value 79.557578
iter 100 value 79.293776
final  value 79.293776 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 100.753798 
final  value 94.054440 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.655903 
final  value 94.054660 
converged
Fitting Repeat 3 

# weights:  103
initial  value 94.903477 
iter  10 value 94.054605
iter  20 value 94.038580
final  value 94.038577 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.986702 
final  value 94.054455 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.083219 
final  value 94.054518 
converged
Fitting Repeat 1 

# weights:  305
initial  value 109.833161 
iter  10 value 94.042860
iter  20 value 92.970462
iter  30 value 90.530227
iter  40 value 82.397603
iter  50 value 80.307341
iter  60 value 79.214108
iter  70 value 79.067850
iter  80 value 79.057822
iter  90 value 78.819342
iter 100 value 78.383584
final  value 78.383584 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 101.415137 
iter  10 value 94.057546
iter  20 value 90.056182
iter  30 value 85.431783
iter  40 value 85.185336
iter  50 value 85.185192
iter  50 value 85.185191
iter  50 value 85.185191
final  value 85.185191 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.324333 
iter  10 value 94.056909
iter  20 value 93.967456
iter  30 value 84.571132
iter  40 value 84.355188
iter  50 value 84.352969
iter  60 value 84.351361
iter  70 value 84.329850
iter  80 value 82.192843
iter  90 value 81.978811
iter 100 value 81.978585
final  value 81.978585 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 111.160893 
iter  10 value 94.058567
iter  20 value 94.050055
final  value 94.039415 
converged
Fitting Repeat 5 

# weights:  305
initial  value 103.706542 
iter  10 value 94.043010
iter  20 value 94.021787
iter  30 value 90.302659
iter  40 value 84.316221
iter  50 value 84.217522
final  value 84.217262 
converged
Fitting Repeat 1 

# weights:  507
initial  value 116.803008 
iter  10 value 93.970435
iter  20 value 93.969751
iter  30 value 93.892101
iter  40 value 92.738124
iter  50 value 92.631294
iter  60 value 92.621618
iter  70 value 92.621380
final  value 92.621378 
converged
Fitting Repeat 2 

# weights:  507
initial  value 106.903544 
iter  10 value 93.969943
iter  20 value 93.963382
final  value 93.963354 
converged
Fitting Repeat 3 

# weights:  507
initial  value 97.758461 
iter  10 value 92.996198
iter  20 value 92.947377
iter  30 value 92.897379
iter  40 value 92.773093
iter  50 value 92.465222
iter  60 value 92.178751
iter  70 value 92.049637
iter  80 value 92.049492
iter  90 value 92.049322
final  value 92.048796 
converged
Fitting Repeat 4 

# weights:  507
initial  value 96.337755 
iter  10 value 92.846396
iter  20 value 92.713338
iter  30 value 92.239867
iter  40 value 92.190804
iter  50 value 92.130821
iter  60 value 92.126944
iter  70 value 92.123827
iter  70 value 92.123826
final  value 92.123826 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.521364 
iter  10 value 90.405183
iter  20 value 84.311234
iter  30 value 84.210631
iter  40 value 83.892018
iter  50 value 83.808802
iter  60 value 83.769301
iter  70 value 83.660560
iter  80 value 83.659170
iter  90 value 83.658361
iter 100 value 83.545581
final  value 83.545581 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 144.839639 
iter  10 value 117.211490
iter  20 value 116.894934
iter  30 value 108.655476
iter  40 value 108.529091
final  value 108.529076 
converged
Fitting Repeat 2 

# weights:  305
initial  value 132.659330 
iter  10 value 117.894937
iter  20 value 117.618047
iter  30 value 106.488196
iter  40 value 103.754839
iter  50 value 101.030543
final  value 101.016599 
converged
Fitting Repeat 3 

# weights:  305
initial  value 135.015571 
iter  10 value 117.913170
iter  20 value 117.571408
iter  30 value 115.668893
iter  40 value 115.241119
iter  50 value 115.237940
iter  60 value 114.189679
iter  70 value 114.149582
iter  80 value 109.735028
iter  90 value 107.124661
iter 100 value 107.010706
final  value 107.010706 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 118.197547 
iter  10 value 117.894941
iter  20 value 117.003497
iter  30 value 108.529270
final  value 108.529265 
converged
Fitting Repeat 5 

# weights:  305
initial  value 123.904030 
iter  10 value 108.243694
iter  20 value 105.366049
iter  30 value 105.359062
iter  40 value 105.336287
iter  50 value 104.235571
iter  60 value 104.027405
iter  70 value 102.003746
iter  80 value 100.082049
iter  90 value 99.477152
iter 100 value 99.416031
final  value 99.416031 
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 Apr 11 21:02:01 2023 
*********************************************** 
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
HPiP RUnit Tests - 7 test functions, 0 errors, 0 failures
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: `repeats` has no meaning for this resampling method. 
2: executing %dopar% sequentially: no parallel backend registered 
> 
> 
> 
> 
> proc.time()
   user  system elapsed 
 42.332   2.168  85.267