##############################################################################
##############################################################################
###
### 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_1.5.3.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.17-bioc/meat/HPiP.Rcheck’
* using R Under development (unstable) (2023-03-12 r83975)
* using platform: aarch64-unknown-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 ‘1.5.3’
* 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
var_imp       38.989  0.512  39.505
corr_plot     36.911  0.312  37.225
FSmethod      36.662  0.444  37.115
pred_ensembel 17.450  0.400  15.555
getFASTA       0.700  0.020   6.803
enrichfindP    0.417  0.044  15.211
* 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-devel_2023-03-12_r83975-bin/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 Under development (unstable) (2023-03-12 r83975) -- "Unsuffered Consequences"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: aarch64-unknown-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 109.573164 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 104.067202 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.597877 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.255857 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.511383 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.196353 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.287522 
iter  10 value 88.785627
iter  20 value 81.023222
iter  30 value 80.897609
iter  40 value 80.706461
iter  50 value 80.675119
iter  60 value 80.674593
final  value 80.674590 
converged
Fitting Repeat 3 

# weights:  305
initial  value 100.800121 
final  value 94.008696 
converged
Fitting Repeat 4 

# weights:  305
initial  value 113.139639 
final  value 94.008697 
converged
Fitting Repeat 5 

# weights:  305
initial  value 109.551337 
iter  10 value 91.154342
iter  20 value 88.146803
iter  30 value 88.138961
final  value 88.138950 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.291151 
iter  10 value 93.893275
iter  20 value 93.879918
final  value 93.879912 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.771318 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 102.592401 
iter  10 value 91.923825
iter  20 value 90.915928
iter  30 value 90.866769
final  value 90.817139 
converged
Fitting Repeat 4 

# weights:  507
initial  value 108.157061 
final  value 94.008696 
converged
Fitting Repeat 5 

# weights:  507
initial  value 119.178164 
final  value 93.371808 
converged
Fitting Repeat 1 

# weights:  103
initial  value 106.771660 
iter  10 value 94.054843
iter  20 value 91.043061
iter  30 value 85.676274
iter  40 value 85.307552
iter  50 value 84.130098
iter  60 value 84.052564
iter  70 value 83.328022
final  value 83.311106 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.945595 
iter  10 value 93.984587
iter  20 value 86.528521
iter  30 value 84.077285
iter  40 value 83.222507
iter  50 value 82.802340
iter  60 value 82.642187
iter  70 value 81.790196
iter  80 value 81.062656
iter  90 value 81.016365
iter 100 value 80.772461
final  value 80.772461 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 100.605279 
iter  10 value 94.055550
iter  20 value 91.764078
iter  30 value 91.140379
iter  40 value 90.599846
iter  50 value 89.909511
iter  60 value 89.756662
iter  70 value 89.578121
final  value 89.573554 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.751157 
iter  10 value 94.386851
iter  20 value 94.059096
iter  30 value 93.270548
iter  40 value 92.495664
iter  50 value 91.491462
iter  60 value 91.278673
iter  70 value 89.802786
iter  80 value 89.784805
final  value 89.784803 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.895187 
iter  10 value 94.056732
iter  20 value 87.777219
iter  30 value 85.747236
iter  40 value 85.302499
iter  50 value 82.875482
iter  60 value 82.516499
iter  70 value 81.241499
iter  80 value 80.653394
iter  90 value 80.572913
final  value 80.571485 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.303652 
iter  10 value 93.899043
iter  20 value 87.080516
iter  30 value 86.486556
iter  40 value 85.446193
iter  50 value 85.071073
iter  60 value 84.211544
iter  70 value 83.113921
iter  80 value 81.429396
iter  90 value 81.240249
iter 100 value 81.144800
final  value 81.144800 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 99.303567 
iter  10 value 92.133382
iter  20 value 84.423854
iter  30 value 83.698591
iter  40 value 83.232417
iter  50 value 83.058803
iter  60 value 83.017916
iter  70 value 83.001287
iter  80 value 82.958731
iter  90 value 82.725365
iter 100 value 81.612045
final  value 81.612045 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 100.414371 
iter  10 value 94.093592
iter  20 value 90.957283
iter  30 value 86.623919
iter  40 value 83.683967
iter  50 value 82.073610
iter  60 value 81.469145
iter  70 value 80.602942
iter  80 value 80.288132
iter  90 value 80.224399
iter 100 value 79.923277
final  value 79.923277 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 102.636975 
iter  10 value 94.016971
iter  20 value 88.140272
iter  30 value 87.393594
iter  40 value 86.721370
iter  50 value 82.810965
iter  60 value 80.924142
iter  70 value 80.349639
iter  80 value 79.975111
iter  90 value 79.412309
iter 100 value 79.231715
final  value 79.231715 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 129.788294 
iter  10 value 95.189915
iter  20 value 85.298752
iter  30 value 85.032396
iter  40 value 82.504929
iter  50 value 80.892914
iter  60 value 80.152731
iter  70 value 79.956568
iter  80 value 79.920254
iter  90 value 79.891367
iter 100 value 79.822481
final  value 79.822481 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 108.185043 
iter  10 value 94.058535
iter  20 value 87.627923
iter  30 value 85.498520
iter  40 value 84.857843
iter  50 value 82.522553
iter  60 value 80.590956
iter  70 value 80.060719
iter  80 value 79.763793
iter  90 value 79.295010
iter 100 value 79.041575
final  value 79.041575 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.720817 
iter  10 value 92.845580
iter  20 value 84.505539
iter  30 value 84.239007
iter  40 value 83.091727
iter  50 value 81.543456
iter  60 value 81.072984
iter  70 value 81.006795
iter  80 value 80.570291
iter  90 value 80.068031
iter 100 value 79.567416
final  value 79.567416 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.538092 
iter  10 value 93.504158
iter  20 value 86.158730
iter  30 value 83.886886
iter  40 value 82.992089
iter  50 value 82.804335
iter  60 value 82.547852
iter  70 value 81.816040
iter  80 value 80.482985
iter  90 value 79.745300
iter 100 value 79.414090
final  value 79.414090 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 113.939831 
iter  10 value 94.084255
iter  20 value 91.768503
iter  30 value 87.374149
iter  40 value 83.497121
iter  50 value 81.778432
iter  60 value 80.635744
iter  70 value 80.192574
iter  80 value 79.495091
iter  90 value 79.100900
iter 100 value 78.944421
final  value 78.944421 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 111.527938 
iter  10 value 94.829365
iter  20 value 91.443829
iter  30 value 86.358179
iter  40 value 82.633461
iter  50 value 81.373884
iter  60 value 80.749224
iter  70 value 80.258737
iter  80 value 80.097016
iter  90 value 79.777170
iter 100 value 79.431544
final  value 79.431544 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.444283 
final  value 93.373581 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.293837 
iter  10 value 93.917389
iter  20 value 93.916655
iter  30 value 93.913309
final  value 93.904169 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.018988 
iter  10 value 94.010969
iter  20 value 94.010054
iter  30 value 94.008842
iter  40 value 92.267265
iter  50 value 84.816251
iter  60 value 84.786065
iter  70 value 83.816958
iter  80 value 83.436952
iter  90 value 83.434876
iter 100 value 83.434324
final  value 83.434324 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 94.571613 
final  value 94.054619 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.749801 
iter  10 value 94.010137
iter  20 value 93.182481
iter  30 value 83.980998
iter  40 value 83.979556
iter  40 value 83.979556
iter  40 value 83.979556
final  value 83.979556 
converged
Fitting Repeat 1 

# weights:  305
initial  value 104.377381 
iter  10 value 92.065169
iter  20 value 89.846084
iter  30 value 89.838419
iter  40 value 89.837332
iter  50 value 89.326491
iter  60 value 89.325390
iter  70 value 89.236497
iter  80 value 88.915652
iter  90 value 88.771879
final  value 88.771860 
converged
Fitting Repeat 2 

# weights:  305
initial  value 98.461025 
iter  10 value 93.903724
iter  20 value 92.347605
iter  30 value 83.665782
iter  40 value 82.786307
iter  50 value 82.700605
iter  60 value 82.700356
iter  60 value 82.700355
iter  60 value 82.700355
final  value 82.700355 
converged
Fitting Repeat 3 

# weights:  305
initial  value 104.548311 
iter  10 value 94.056737
iter  20 value 94.031884
iter  30 value 92.377884
iter  40 value 92.102556
iter  50 value 89.021400
iter  60 value 82.795656
iter  70 value 82.272071
iter  80 value 82.228447
iter  90 value 82.208290
final  value 82.208229 
converged
Fitting Repeat 4 

# weights:  305
initial  value 104.073860 
iter  10 value 94.057841
iter  20 value 93.998655
iter  30 value 89.930924
iter  40 value 89.925003
iter  50 value 89.168143
iter  60 value 89.006416
iter  70 value 88.895803
iter  80 value 88.894411
iter  90 value 87.413834
iter 100 value 86.991447
final  value 86.991447 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 99.142088 
iter  10 value 94.056295
iter  20 value 93.960212
iter  30 value 90.445062
iter  40 value 90.443008
iter  50 value 90.179640
iter  60 value 82.593937
iter  70 value 82.184739
iter  80 value 82.050153
iter  90 value 81.709887
iter 100 value 80.644525
final  value 80.644525 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 97.108124 
iter  10 value 93.747337
iter  20 value 93.740474
iter  30 value 93.374578
iter  40 value 93.178262
iter  50 value 85.111196
iter  60 value 84.701276
iter  70 value 84.695958
final  value 84.695926 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.685049 
iter  10 value 94.065213
iter  20 value 94.032293
iter  30 value 83.617902
iter  40 value 83.579943
iter  50 value 83.406231
iter  60 value 80.161538
iter  70 value 80.129073
final  value 80.128628 
converged
Fitting Repeat 3 

# weights:  507
initial  value 97.238386 
iter  10 value 94.019590
iter  20 value 94.006599
iter  30 value 87.413777
iter  40 value 83.746623
iter  50 value 83.135482
iter  60 value 82.741888
iter  70 value 82.730491
iter  80 value 82.590414
iter  90 value 82.587798
iter 100 value 82.502069
final  value 82.502069 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 105.986570 
iter  10 value 93.954224
iter  20 value 93.953479
iter  30 value 93.952587
iter  40 value 93.902176
iter  50 value 93.899346
final  value 93.899343 
converged
Fitting Repeat 5 

# weights:  507
initial  value 101.752949 
iter  10 value 94.060944
iter  20 value 90.949666
iter  30 value 83.542143
iter  40 value 83.243862
iter  50 value 82.678953
iter  60 value 82.084795
iter  70 value 81.523979
iter  80 value 79.716600
iter  90 value 78.728049
iter 100 value 78.487891
final  value 78.487891 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.743298 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 103.223977 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.212662 
final  value 94.443243 
converged
Fitting Repeat 4 

# weights:  103
initial  value 107.318648 
final  value 94.275363 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.075290 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.866796 
iter  10 value 94.275363
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  305
initial  value 94.917579 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 108.228276 
iter  10 value 92.342820
iter  20 value 91.741545
iter  30 value 91.739775
final  value 91.739683 
converged
Fitting Repeat 4 

# weights:  305
initial  value 120.847937 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.839691 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 113.615373 
iter  10 value 94.211080
iter  20 value 94.018076
iter  30 value 93.531234
final  value 93.530034 
converged
Fitting Repeat 2 

# weights:  507
initial  value 100.639911 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 117.633882 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.766178 
iter  10 value 94.175556
iter  20 value 94.092000
iter  30 value 94.060707
iter  40 value 92.534535
iter  50 value 92.534158
iter  60 value 92.443744
iter  70 value 92.439375
final  value 92.439365 
converged
Fitting Repeat 5 

# weights:  507
initial  value 112.970825 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.277337 
iter  10 value 94.483396
iter  20 value 93.315827
iter  30 value 86.102823
iter  40 value 84.258252
iter  50 value 83.735669
iter  60 value 83.230487
iter  70 value 82.771420
iter  80 value 82.667058
final  value 82.667052 
converged
Fitting Repeat 2 

# weights:  103
initial  value 108.642744 
iter  10 value 94.362190
iter  20 value 93.395768
iter  30 value 87.442577
iter  40 value 86.820565
iter  50 value 83.326738
iter  60 value 82.621885
iter  70 value 82.584191
final  value 82.584180 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.007869 
iter  10 value 94.486453
iter  20 value 94.297049
iter  30 value 94.280190
iter  40 value 92.155294
iter  50 value 88.907822
iter  60 value 87.372029
iter  70 value 85.916077
iter  80 value 85.721843
iter  90 value 85.510301
iter 100 value 85.498879
final  value 85.498879 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 96.685862 
iter  10 value 94.486354
iter  20 value 89.846636
iter  30 value 86.655791
iter  40 value 86.422919
iter  50 value 86.354138
final  value 86.354126 
converged
Fitting Repeat 5 

# weights:  103
initial  value 115.055728 
iter  10 value 94.204282
iter  20 value 87.542887
iter  30 value 86.714990
iter  40 value 86.117020
iter  50 value 85.606490
iter  60 value 85.596656
iter  70 value 85.515152
iter  80 value 85.499017
final  value 85.498873 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.168822 
iter  10 value 93.847833
iter  20 value 93.159310
iter  30 value 90.518225
iter  40 value 88.257001
iter  50 value 85.730594
iter  60 value 84.436779
iter  70 value 83.146437
iter  80 value 82.581472
iter  90 value 81.780769
iter 100 value 81.662977
final  value 81.662977 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 104.369625 
iter  10 value 94.417248
iter  20 value 90.194263
iter  30 value 89.494090
iter  40 value 88.969948
iter  50 value 88.174258
iter  60 value 86.731959
iter  70 value 82.727170
iter  80 value 82.153033
iter  90 value 81.709810
iter 100 value 81.339439
final  value 81.339439 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.268260 
iter  10 value 93.851348
iter  20 value 90.054243
iter  30 value 85.094435
iter  40 value 84.187155
iter  50 value 83.959099
iter  60 value 83.488396
iter  70 value 83.129812
iter  80 value 81.988851
iter  90 value 81.692036
iter 100 value 81.677101
final  value 81.677101 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 108.628878 
iter  10 value 96.297150
iter  20 value 89.275875
iter  30 value 86.933163
iter  40 value 85.002809
iter  50 value 84.372740
iter  60 value 83.491586
iter  70 value 82.862698
iter  80 value 81.642613
iter  90 value 81.230156
iter 100 value 81.180643
final  value 81.180643 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 116.185453 
iter  10 value 94.490157
iter  20 value 94.288214
iter  30 value 88.985815
iter  40 value 87.739699
iter  50 value 85.082491
iter  60 value 84.550855
iter  70 value 83.998812
iter  80 value 83.367287
iter  90 value 82.661025
iter 100 value 81.363966
final  value 81.363966 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 119.820330 
iter  10 value 94.542391
iter  20 value 94.493520
iter  30 value 93.013781
iter  40 value 86.424213
iter  50 value 84.038817
iter  60 value 83.253103
iter  70 value 82.071077
iter  80 value 81.728784
iter  90 value 81.475519
iter 100 value 81.267726
final  value 81.267726 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 103.131931 
iter  10 value 99.431360
iter  20 value 93.562931
iter  30 value 93.089188
iter  40 value 91.967398
iter  50 value 90.217659
iter  60 value 86.216390
iter  70 value 85.372292
iter  80 value 84.175045
iter  90 value 83.722116
iter 100 value 82.536301
final  value 82.536301 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 121.862317 
iter  10 value 94.647769
iter  20 value 91.834230
iter  30 value 89.248136
iter  40 value 87.405355
iter  50 value 86.463051
iter  60 value 85.719154
iter  70 value 83.474966
iter  80 value 82.793622
iter  90 value 82.522709
iter 100 value 82.236860
final  value 82.236860 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 111.118874 
iter  10 value 94.588900
iter  20 value 88.273415
iter  30 value 85.334538
iter  40 value 83.686411
iter  50 value 82.842829
iter  60 value 81.701630
iter  70 value 81.449810
iter  80 value 81.315035
iter  90 value 81.265215
iter 100 value 81.242359
final  value 81.242359 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 124.355157 
iter  10 value 94.485955
iter  20 value 93.899662
iter  30 value 89.961392
iter  40 value 87.728051
iter  50 value 84.829304
iter  60 value 82.174062
iter  70 value 80.976345
iter  80 value 80.644239
iter  90 value 80.600442
iter 100 value 80.564122
final  value 80.564122 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 108.773583 
final  value 94.485953 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.759336 
iter  10 value 94.486045
iter  20 value 94.480178
iter  30 value 93.376271
iter  40 value 88.645469
iter  50 value 83.439443
iter  60 value 83.064374
iter  70 value 83.063516
final  value 83.063461 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.238192 
iter  10 value 94.485838
iter  20 value 94.484206
iter  30 value 94.253979
iter  40 value 94.241020
final  value 94.229026 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.337086 
final  value 94.485835 
converged
Fitting Repeat 5 

# weights:  103
initial  value 106.820712 
final  value 94.485911 
converged
Fitting Repeat 1 

# weights:  305
initial  value 120.177178 
iter  10 value 94.488313
iter  20 value 94.315316
iter  30 value 88.136656
iter  40 value 87.205543
iter  50 value 86.248188
final  value 86.248186 
converged
Fitting Repeat 2 

# weights:  305
initial  value 112.560303 
iter  10 value 94.489188
iter  20 value 94.484219
iter  30 value 93.990331
iter  40 value 86.838720
iter  50 value 84.868774
iter  60 value 81.732401
iter  70 value 80.566643
iter  80 value 79.972353
iter  90 value 79.686409
iter 100 value 79.377655
final  value 79.377655 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 108.674049 
iter  10 value 94.490152
iter  20 value 88.068170
iter  30 value 87.954990
final  value 87.954983 
converged
Fitting Repeat 4 

# weights:  305
initial  value 106.111274 
iter  10 value 94.489340
iter  20 value 92.785278
iter  30 value 86.169674
iter  40 value 86.039532
iter  50 value 85.968794
final  value 85.968184 
converged
Fitting Repeat 5 

# weights:  305
initial  value 104.984425 
iter  10 value 94.297150
iter  20 value 92.045322
iter  30 value 91.882478
iter  40 value 91.881995
iter  50 value 91.880351
iter  60 value 91.878688
iter  70 value 91.737734
final  value 91.737437 
converged
Fitting Repeat 1 

# weights:  507
initial  value 105.638828 
iter  10 value 94.552547
iter  20 value 91.790420
iter  30 value 91.586428
iter  40 value 91.521943
iter  50 value 89.866820
iter  60 value 87.848845
iter  70 value 87.738964
iter  80 value 87.570910
iter  90 value 86.158034
iter 100 value 86.144863
final  value 86.144863 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 121.704288 
iter  10 value 94.331309
iter  20 value 93.732443
iter  30 value 86.853078
iter  40 value 85.761204
iter  50 value 85.753554
iter  60 value 85.741574
iter  70 value 85.530158
final  value 85.529472 
converged
Fitting Repeat 3 

# weights:  507
initial  value 98.201073 
iter  10 value 93.799443
iter  20 value 89.718590
iter  30 value 84.574741
iter  40 value 83.739285
iter  50 value 83.728259
iter  60 value 83.727648
iter  70 value 83.727142
iter  80 value 83.725000
iter  90 value 83.721663
final  value 83.721175 
converged
Fitting Repeat 4 

# weights:  507
initial  value 124.801260 
iter  10 value 94.492804
iter  20 value 94.459952
iter  30 value 93.833855
iter  40 value 88.267297
iter  50 value 88.258612
iter  60 value 88.257506
iter  70 value 88.256390
iter  80 value 88.256031
iter  90 value 85.972801
iter 100 value 84.775779
final  value 84.775779 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 114.264390 
iter  10 value 94.283869
iter  20 value 94.017002
iter  30 value 92.768738
iter  40 value 88.799174
iter  50 value 88.272650
iter  60 value 88.267747
iter  70 value 88.204898
iter  80 value 88.165825
iter  90 value 88.162844
iter 100 value 88.162166
final  value 88.162166 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 98.610139 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 118.420698 
final  value 93.991525 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.737440 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.904540 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.171434 
final  value 93.836066 
converged
Fitting Repeat 1 

# weights:  305
initial  value 110.735684 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.173072 
iter  10 value 93.153848
final  value 93.153846 
converged
Fitting Repeat 3 

# weights:  305
initial  value 94.512754 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 108.860440 
final  value 93.481481 
converged
Fitting Repeat 5 

# weights:  305
initial  value 107.692471 
iter  10 value 93.978619
final  value 93.978617 
converged
Fitting Repeat 1 

# weights:  507
initial  value 102.363563 
final  value 93.836066 
converged
Fitting Repeat 2 

# weights:  507
initial  value 132.368876 
iter  10 value 92.285922
iter  10 value 92.285922
iter  10 value 92.285922
final  value 92.285922 
converged
Fitting Repeat 3 

# weights:  507
initial  value 108.413981 
iter  10 value 93.038627
final  value 92.966991 
converged
Fitting Repeat 4 

# weights:  507
initial  value 122.730963 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.074977 
final  value 94.052911 
converged
Fitting Repeat 1 

# weights:  103
initial  value 105.690474 
iter  10 value 93.482153
iter  20 value 85.958639
iter  30 value 84.039501
iter  40 value 83.394101
iter  50 value 83.308520
iter  60 value 83.142278
iter  70 value 83.093220
final  value 83.093137 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.108776 
iter  10 value 94.055015
iter  20 value 93.336887
iter  30 value 93.248671
iter  40 value 93.220553
iter  50 value 91.493997
iter  60 value 83.903089
iter  70 value 81.850434
iter  80 value 81.409748
iter  90 value 81.170202
iter 100 value 80.927918
final  value 80.927918 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 100.285941 
iter  10 value 93.917479
iter  20 value 88.714957
iter  30 value 86.633059
iter  40 value 85.935877
iter  50 value 85.612757
iter  60 value 84.438661
iter  70 value 82.001067
iter  80 value 81.807905
iter  90 value 81.383273
iter 100 value 81.300279
final  value 81.300279 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 105.396722 
iter  10 value 94.006953
iter  20 value 93.729678
iter  30 value 84.910710
iter  40 value 84.492063
iter  50 value 84.122965
iter  60 value 83.306978
iter  70 value 82.867379
iter  80 value 81.600273
iter  90 value 81.006081
iter 100 value 80.964423
final  value 80.964423 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 108.372194 
iter  10 value 94.079149
iter  20 value 92.289700
iter  30 value 86.208056
iter  40 value 85.276683
iter  50 value 84.844037
iter  60 value 83.513577
iter  70 value 83.128402
iter  80 value 83.128171
final  value 83.127179 
converged
Fitting Repeat 1 

# weights:  305
initial  value 103.489594 
iter  10 value 94.168415
iter  20 value 86.130010
iter  30 value 84.173071
iter  40 value 83.819443
iter  50 value 83.442105
iter  60 value 83.290355
iter  70 value 83.186813
iter  80 value 82.628156
iter  90 value 81.750655
iter 100 value 80.843142
final  value 80.843142 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 99.503130 
iter  10 value 93.249427
iter  20 value 89.627062
iter  30 value 84.378349
iter  40 value 83.796625
iter  50 value 83.199638
iter  60 value 82.909380
iter  70 value 81.803626
iter  80 value 80.921663
iter  90 value 80.306337
iter 100 value 80.203013
final  value 80.203013 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 102.790886 
iter  10 value 94.230626
iter  20 value 92.012684
iter  30 value 90.737041
iter  40 value 84.949835
iter  50 value 82.601732
iter  60 value 81.144303
iter  70 value 80.269194
iter  80 value 79.940382
iter  90 value 79.836580
iter 100 value 79.783559
final  value 79.783559 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 100.517286 
iter  10 value 93.978354
iter  20 value 93.199113
iter  30 value 92.652613
iter  40 value 85.579231
iter  50 value 83.908252
iter  60 value 82.523755
iter  70 value 81.444057
iter  80 value 80.544996
iter  90 value 79.970301
iter 100 value 79.729054
final  value 79.729054 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 106.833205 
iter  10 value 93.892622
iter  20 value 88.112638
iter  30 value 87.182942
iter  40 value 86.188020
iter  50 value 85.371208
iter  60 value 84.527706
iter  70 value 82.957808
iter  80 value 81.740350
iter  90 value 80.808110
iter 100 value 80.369941
final  value 80.369941 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 131.316913 
iter  10 value 95.155647
iter  20 value 92.837857
iter  30 value 83.871078
iter  40 value 81.568962
iter  50 value 80.577352
iter  60 value 79.905627
iter  70 value 79.733643
iter  80 value 79.549818
iter  90 value 79.415089
iter 100 value 79.371322
final  value 79.371322 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.735382 
iter  10 value 93.963996
iter  20 value 93.486542
iter  30 value 86.623099
iter  40 value 83.939614
iter  50 value 83.138132
iter  60 value 82.915951
iter  70 value 82.850085
iter  80 value 82.788958
iter  90 value 82.467648
iter 100 value 81.909343
final  value 81.909343 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 102.416499 
iter  10 value 91.927670
iter  20 value 84.966601
iter  30 value 83.674474
iter  40 value 82.973655
iter  50 value 82.805146
iter  60 value 82.750052
iter  70 value 82.587671
iter  80 value 82.286247
iter  90 value 80.912553
iter 100 value 80.056137
final  value 80.056137 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 113.890130 
iter  10 value 86.238993
iter  20 value 83.825044
iter  30 value 83.603249
iter  40 value 83.029337
iter  50 value 81.870347
iter  60 value 80.547988
iter  70 value 80.046432
iter  80 value 79.895646
iter  90 value 79.707512
iter 100 value 79.624251
final  value 79.624251 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 128.841976 
iter  10 value 94.106477
iter  20 value 93.346601
iter  30 value 85.625848
iter  40 value 85.325142
iter  50 value 84.173519
iter  60 value 83.448865
iter  70 value 82.655494
iter  80 value 80.971038
iter  90 value 80.397774
iter 100 value 79.972997
final  value 79.972997 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.254620 
final  value 94.054410 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.759330 
final  value 94.054672 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.358799 
final  value 93.837558 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.953785 
final  value 94.054837 
converged
Fitting Repeat 5 

# weights:  103
initial  value 104.468174 
final  value 94.054536 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.957846 
iter  10 value 94.054242
final  value 94.052933 
converged
Fitting Repeat 2 

# weights:  305
initial  value 101.224841 
iter  10 value 94.057768
iter  20 value 94.027497
iter  30 value 85.583877
iter  40 value 82.786417
iter  50 value 82.602893
iter  60 value 81.866681
iter  70 value 81.415249
iter  80 value 80.775682
iter  90 value 79.518837
iter 100 value 78.949446
final  value 78.949446 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.773561 
iter  10 value 94.058905
iter  20 value 93.782585
iter  30 value 89.543084
iter  40 value 89.056454
iter  50 value 88.922594
iter  60 value 86.988290
iter  70 value 82.153114
iter  80 value 80.283600
iter  90 value 79.922533
iter 100 value 79.911593
final  value 79.911593 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 124.069597 
iter  10 value 94.057809
iter  20 value 94.053027
final  value 94.053015 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.408966 
iter  10 value 93.159657
iter  20 value 93.156854
iter  30 value 93.155823
iter  40 value 93.010944
iter  50 value 84.574872
iter  60 value 82.411221
iter  70 value 82.401256
iter  80 value 81.941668
iter  90 value 81.410269
iter 100 value 80.662783
final  value 80.662783 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 97.703741 
iter  10 value 94.059417
iter  20 value 91.984025
iter  30 value 84.504427
iter  40 value 84.245972
iter  50 value 84.216246
final  value 84.216166 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.041097 
iter  10 value 94.061174
iter  20 value 93.742355
iter  30 value 84.091972
iter  40 value 83.234859
iter  50 value 82.750009
iter  60 value 82.701665
iter  70 value 82.681436
iter  80 value 82.650755
iter  90 value 82.638024
iter 100 value 82.558054
final  value 82.558054 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 99.613791 
iter  10 value 94.060063
iter  20 value 93.950569
iter  30 value 93.327209
final  value 93.327197 
converged
Fitting Repeat 4 

# weights:  507
initial  value 104.357675 
iter  10 value 93.999727
iter  20 value 93.992864
iter  30 value 93.435398
iter  40 value 84.409953
iter  50 value 84.392561
final  value 84.392213 
converged
Fitting Repeat 5 

# weights:  507
initial  value 113.559035 
iter  10 value 93.999401
iter  20 value 93.332818
iter  30 value 93.328929
iter  40 value 89.117968
iter  50 value 82.881361
iter  60 value 82.629897
iter  60 value 82.629896
final  value 82.629896 
converged
Fitting Repeat 1 

# weights:  103
initial  value 103.627930 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.023279 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 104.378545 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.984180 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.372415 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 97.215828 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 97.752226 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.858817 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 94.768199 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 110.553826 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 119.860156 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 104.080318 
final  value 94.466667 
converged
Fitting Repeat 3 

# weights:  507
initial  value 128.545344 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 108.572816 
final  value 94.466823 
converged
Fitting Repeat 5 

# weights:  507
initial  value 111.806737 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  103
initial  value 106.165667 
iter  10 value 94.462328
iter  20 value 91.937564
iter  30 value 84.873055
iter  40 value 84.306254
iter  50 value 84.070847
iter  60 value 83.187658
iter  70 value 82.784962
iter  80 value 82.583381
final  value 82.583049 
converged
Fitting Repeat 2 

# weights:  103
initial  value 108.901484 
iter  10 value 94.288164
iter  20 value 90.411850
iter  30 value 89.347344
iter  40 value 86.874984
iter  50 value 86.783414
iter  60 value 85.047532
iter  70 value 83.904119
iter  80 value 83.701897
iter  90 value 83.670386
iter 100 value 83.656241
final  value 83.656241 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 100.761666 
iter  10 value 94.488832
iter  20 value 90.333060
iter  30 value 84.879649
iter  40 value 84.623536
iter  50 value 84.493536
iter  60 value 84.457866
final  value 84.457859 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.112651 
iter  10 value 94.487073
iter  20 value 88.176492
iter  30 value 85.009338
iter  40 value 84.744452
iter  50 value 83.962265
iter  60 value 83.901034
iter  70 value 83.899889
iter  80 value 83.709640
iter  90 value 83.658499
iter 100 value 83.654905
final  value 83.654905 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 99.520133 
iter  10 value 93.037746
iter  20 value 85.121669
iter  30 value 84.821960
iter  40 value 84.560683
iter  50 value 84.497898
iter  60 value 84.462214
iter  70 value 84.457860
final  value 84.457858 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.653165 
iter  10 value 94.555587
iter  20 value 94.309449
iter  30 value 88.808116
iter  40 value 86.699207
iter  50 value 83.202827
iter  60 value 81.960281
iter  70 value 81.580663
iter  80 value 81.438166
iter  90 value 81.287198
iter 100 value 81.114706
final  value 81.114706 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 116.729983 
iter  10 value 94.423255
iter  20 value 87.178423
iter  30 value 84.904463
iter  40 value 84.491774
iter  50 value 83.596256
iter  60 value 83.430488
iter  70 value 83.392529
iter  80 value 83.372839
iter  90 value 83.272666
iter 100 value 82.766814
final  value 82.766814 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.844137 
iter  10 value 94.439396
iter  20 value 87.091097
iter  30 value 84.692573
iter  40 value 83.876514
iter  50 value 83.411774
iter  60 value 82.816590
iter  70 value 82.297783
iter  80 value 81.693018
iter  90 value 81.572004
iter 100 value 81.152311
final  value 81.152311 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.416871 
iter  10 value 94.377588
iter  20 value 91.272655
iter  30 value 87.178414
iter  40 value 85.977243
iter  50 value 85.879234
iter  60 value 84.688236
iter  70 value 82.756302
iter  80 value 82.083131
iter  90 value 81.645013
iter 100 value 81.447174
final  value 81.447174 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 102.006985 
iter  10 value 94.528035
iter  20 value 94.441173
iter  30 value 92.155428
iter  40 value 88.237384
iter  50 value 86.555330
iter  60 value 84.568101
iter  70 value 83.526402
iter  80 value 83.329346
iter  90 value 83.293360
iter 100 value 83.281142
final  value 83.281142 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 112.361070 
iter  10 value 94.076301
iter  20 value 88.736680
iter  30 value 86.792955
iter  40 value 86.115779
iter  50 value 84.438975
iter  60 value 83.973147
iter  70 value 82.703558
iter  80 value 81.284073
iter  90 value 80.834465
iter 100 value 80.556163
final  value 80.556163 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 107.981124 
iter  10 value 93.196651
iter  20 value 87.668905
iter  30 value 87.033481
iter  40 value 85.190055
iter  50 value 84.207738
iter  60 value 83.461880
iter  70 value 82.638899
iter  80 value 82.131106
iter  90 value 81.772696
iter 100 value 81.400401
final  value 81.400401 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 134.882307 
iter  10 value 95.236297
iter  20 value 93.939215
iter  30 value 87.368535
iter  40 value 84.723580
iter  50 value 84.627003
iter  60 value 84.343461
iter  70 value 83.500049
iter  80 value 83.231824
iter  90 value 82.867465
iter 100 value 82.128418
final  value 82.128418 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 112.089385 
iter  10 value 93.489673
iter  20 value 88.211902
iter  30 value 86.565212
iter  40 value 85.865856
iter  50 value 84.484734
iter  60 value 83.217204
iter  70 value 82.021317
iter  80 value 81.146728
iter  90 value 80.954634
iter 100 value 80.914384
final  value 80.914384 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 131.013875 
iter  10 value 94.374747
iter  20 value 89.666374
iter  30 value 85.072882
iter  40 value 84.091647
iter  50 value 83.619212
iter  60 value 83.546286
iter  70 value 83.385742
iter  80 value 83.315714
iter  90 value 83.297362
iter 100 value 83.286339
final  value 83.286339 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.284090 
final  value 94.486218 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.494733 
final  value 94.485709 
converged
Fitting Repeat 3 

# weights:  103
initial  value 105.527320 
iter  10 value 94.486397
iter  20 value 94.484902
iter  20 value 94.484902
iter  20 value 94.484902
final  value 94.484902 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.495799 
iter  10 value 94.485984
iter  20 value 94.448929
iter  30 value 93.547249
iter  40 value 93.411069
final  value 93.410436 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.643251 
final  value 94.468643 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.999156 
iter  10 value 94.489017
iter  20 value 94.436494
iter  30 value 86.327107
iter  40 value 86.298701
iter  50 value 86.258124
iter  60 value 85.153512
iter  70 value 85.093388
final  value 85.093347 
converged
Fitting Repeat 2 

# weights:  305
initial  value 100.058106 
iter  10 value 94.488976
iter  20 value 92.774610
iter  30 value 83.729000
final  value 83.679111 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.059942 
iter  10 value 94.489101
iter  20 value 94.402588
iter  30 value 87.126920
iter  40 value 83.307936
iter  50 value 81.961786
iter  60 value 81.938979
iter  70 value 81.938332
iter  80 value 81.936648
iter  90 value 81.735543
iter 100 value 81.582168
final  value 81.582168 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 95.433292 
iter  10 value 89.993491
iter  20 value 89.213020
iter  30 value 88.781120
iter  40 value 88.774161
iter  50 value 87.814802
iter  60 value 87.806921
iter  70 value 87.792828
iter  80 value 87.627092
iter  90 value 87.583334
iter 100 value 87.470619
final  value 87.470619 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 102.959293 
iter  10 value 94.490047
iter  20 value 94.484337
iter  30 value 85.816849
iter  40 value 83.679353
iter  50 value 83.650286
iter  60 value 82.738893
iter  70 value 82.490604
iter  80 value 81.959060
iter  90 value 81.563385
iter 100 value 81.034074
final  value 81.034074 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 97.088647 
iter  10 value 94.491066
iter  20 value 94.291646
iter  30 value 86.561179
iter  40 value 86.321400
iter  50 value 84.761977
iter  60 value 83.415680
iter  70 value 81.443576
iter  80 value 79.640094
iter  90 value 79.388910
iter 100 value 78.830863
final  value 78.830863 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.468626 
iter  10 value 94.485416
iter  20 value 94.475413
iter  30 value 94.472379
iter  40 value 94.467047
iter  50 value 94.376338
iter  60 value 91.839330
iter  70 value 91.313111
iter  80 value 91.105703
iter  90 value 91.102777
iter 100 value 86.924399
final  value 86.924399 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 100.955242 
iter  10 value 94.474484
iter  20 value 94.381558
iter  30 value 86.587419
iter  40 value 82.489457
iter  50 value 81.401278
iter  60 value 81.324964
iter  70 value 81.320950
iter  80 value 81.109527
iter  90 value 80.769175
iter 100 value 80.621850
final  value 80.621850 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 98.679161 
iter  10 value 94.490522
iter  20 value 94.434710
iter  30 value 85.781808
iter  40 value 85.427931
iter  50 value 80.540774
iter  60 value 80.092106
iter  70 value 79.729889
iter  80 value 79.615078
iter  90 value 79.484721
iter 100 value 79.484304
final  value 79.484304 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 111.999786 
iter  10 value 94.474787
iter  20 value 94.426555
final  value 94.424959 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.231519 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 105.959427 
final  value 94.354396 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.267427 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.728819 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.715720 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 103.675539 
iter  10 value 94.450026
final  value 94.448053 
converged
Fitting Repeat 2 

# weights:  305
initial  value 116.021911 
iter  10 value 94.342266
iter  20 value 94.309530
final  value 94.309524 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.758784 
iter  10 value 93.464290
final  value 93.464286 
converged
Fitting Repeat 4 

# weights:  305
initial  value 107.501841 
iter  10 value 94.164132
iter  20 value 94.127703
final  value 94.076279 
converged
Fitting Repeat 5 

# weights:  305
initial  value 100.872644 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 105.620344 
iter  10 value 94.457149
iter  20 value 94.448105
final  value 94.448052 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.051368 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 118.711166 
final  value 94.354396 
converged
Fitting Repeat 4 

# weights:  507
initial  value 101.128140 
iter  10 value 94.228736
iter  20 value 94.082831
final  value 94.076279 
converged
Fitting Repeat 5 

# weights:  507
initial  value 117.494485 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.912037 
iter  10 value 94.483100
iter  20 value 94.289849
iter  30 value 94.189757
iter  40 value 94.135388
iter  50 value 92.570933
iter  60 value 87.067116
iter  70 value 85.980695
iter  80 value 85.327114
iter  90 value 85.038512
iter 100 value 84.811906
final  value 84.811906 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 98.514494 
iter  10 value 94.539057
iter  20 value 92.857732
iter  30 value 86.461080
iter  40 value 83.627073
iter  50 value 83.252274
iter  60 value 82.594099
iter  70 value 82.373009
iter  70 value 82.373009
final  value 82.373009 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.209936 
iter  10 value 94.486545
iter  20 value 94.394384
iter  30 value 92.440439
iter  40 value 91.878765
iter  50 value 87.487386
iter  60 value 85.768703
iter  70 value 85.239850
iter  80 value 84.780591
iter  90 value 84.355574
final  value 84.333668 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.836896 
iter  10 value 94.513051
iter  20 value 91.735032
iter  30 value 89.743323
iter  40 value 87.497765
iter  50 value 86.573726
iter  60 value 86.316985
iter  70 value 85.935540
iter  80 value 82.607534
iter  90 value 82.221052
final  value 82.115191 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.521611 
iter  10 value 94.488443
iter  20 value 93.998595
iter  30 value 93.857539
iter  40 value 93.830728
iter  50 value 93.829636
iter  60 value 93.829304
iter  70 value 90.922391
iter  80 value 88.159572
iter  90 value 88.044206
iter 100 value 86.747288
final  value 86.747288 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 101.807862 
iter  10 value 94.400886
iter  20 value 89.035175
iter  30 value 86.456141
iter  40 value 85.567651
iter  50 value 85.287191
iter  60 value 84.812680
iter  70 value 84.385591
iter  80 value 83.464136
iter  90 value 82.434555
iter 100 value 82.255805
final  value 82.255805 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 103.075947 
iter  10 value 94.631100
iter  20 value 90.828326
iter  30 value 88.538009
iter  40 value 88.041769
iter  50 value 87.934765
iter  60 value 85.103382
iter  70 value 84.430125
iter  80 value 83.758977
iter  90 value 82.134284
iter 100 value 81.222981
final  value 81.222981 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 99.656306 
iter  10 value 94.525405
iter  20 value 94.286631
iter  30 value 87.030616
iter  40 value 86.569638
iter  50 value 85.644914
iter  60 value 84.677416
iter  70 value 84.504810
iter  80 value 83.948273
iter  90 value 82.800770
iter 100 value 82.195968
final  value 82.195968 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.426731 
iter  10 value 94.395306
iter  20 value 91.862917
iter  30 value 89.300669
iter  40 value 84.249792
iter  50 value 82.419292
iter  60 value 81.740687
iter  70 value 81.160448
iter  80 value 81.119507
iter  90 value 81.066656
iter 100 value 81.040568
final  value 81.040568 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 108.726342 
iter  10 value 94.458087
iter  20 value 92.751491
iter  30 value 91.945842
iter  40 value 86.957798
iter  50 value 86.405013
iter  60 value 85.440895
iter  70 value 83.429523
iter  80 value 82.349562
iter  90 value 81.775734
iter 100 value 81.157164
final  value 81.157164 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 127.247892 
iter  10 value 94.463757
iter  20 value 94.178249
iter  30 value 92.017298
iter  40 value 88.878361
iter  50 value 86.297145
iter  60 value 84.405019
iter  70 value 81.748014
iter  80 value 80.994570
iter  90 value 80.930656
iter 100 value 80.682773
final  value 80.682773 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 123.548934 
iter  10 value 94.452904
iter  20 value 91.884286
iter  30 value 88.121839
iter  40 value 83.943678
iter  50 value 82.427671
iter  60 value 82.017069
iter  70 value 81.681575
iter  80 value 81.352992
iter  90 value 81.324825
iter 100 value 81.277114
final  value 81.277114 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 130.119540 
iter  10 value 95.929933
iter  20 value 91.024952
iter  30 value 87.136965
iter  40 value 85.006500
iter  50 value 84.442308
iter  60 value 83.214029
iter  70 value 82.432615
iter  80 value 81.661265
iter  90 value 81.491943
iter 100 value 81.288249
final  value 81.288249 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 115.091413 
iter  10 value 95.459849
iter  20 value 94.226892
iter  30 value 92.205418
iter  40 value 85.294583
iter  50 value 85.203724
iter  60 value 83.558005
iter  70 value 82.184793
iter  80 value 81.723237
iter  90 value 80.913367
iter 100 value 80.253339
final  value 80.253339 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 108.551156 
iter  10 value 94.159799
iter  20 value 87.541486
iter  30 value 85.482227
iter  40 value 85.273865
iter  50 value 85.161125
iter  60 value 83.538789
iter  70 value 81.905449
iter  80 value 81.105805
iter  90 value 80.799245
iter 100 value 80.354938
final  value 80.354938 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.498672 
final  value 94.485814 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.678591 
iter  10 value 92.644093
iter  20 value 92.365335
iter  30 value 92.105849
iter  40 value 90.796318
iter  50 value 90.794605
iter  60 value 90.794137
iter  70 value 90.793423
final  value 90.793386 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.989655 
final  value 94.486071 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.328996 
final  value 94.485810 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.828000 
final  value 94.485701 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.900328 
iter  10 value 94.489638
iter  20 value 94.439736
iter  30 value 91.341476
iter  40 value 84.095309
iter  50 value 81.445492
iter  60 value 81.415869
iter  70 value 81.414957
iter  80 value 81.414219
iter  90 value 81.404405
iter 100 value 81.257249
final  value 81.257249 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 96.269417 
iter  10 value 94.485595
iter  20 value 91.358244
iter  30 value 90.544824
iter  40 value 90.075229
iter  50 value 90.073859
iter  60 value 90.073103
final  value 90.072386 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.846514 
iter  10 value 93.608665
iter  20 value 92.221542
iter  30 value 90.793987
iter  40 value 90.681045
iter  50 value 90.596758
iter  60 value 90.596334
iter  70 value 90.596261
final  value 90.596228 
converged
Fitting Repeat 4 

# weights:  305
initial  value 120.796783 
iter  10 value 94.489036
iter  20 value 91.327081
final  value 88.330198 
converged
Fitting Repeat 5 

# weights:  305
initial  value 104.828053 
iter  10 value 94.488934
iter  20 value 94.484224
iter  30 value 94.299934
iter  40 value 90.230306
iter  50 value 84.887547
iter  60 value 82.649951
iter  70 value 82.510554
iter  80 value 81.110156
iter  90 value 80.597595
iter 100 value 80.589452
final  value 80.589452 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 113.247219 
iter  10 value 94.465888
iter  20 value 94.463427
iter  30 value 93.286279
iter  40 value 87.797153
iter  50 value 87.796241
iter  50 value 87.796241
final  value 87.796195 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.824442 
iter  10 value 94.491603
iter  20 value 93.803391
iter  30 value 88.198195
iter  40 value 88.142311
iter  50 value 86.147504
iter  60 value 82.476388
iter  70 value 82.264371
iter  80 value 82.173798
iter  90 value 82.172763
iter 100 value 82.165200
final  value 82.165200 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 111.723011 
iter  10 value 93.576467
iter  20 value 93.570066
final  value 93.568571 
converged
Fitting Repeat 4 

# weights:  507
initial  value 131.005188 
iter  10 value 94.444437
iter  20 value 94.114563
iter  30 value 88.566421
iter  40 value 87.528633
iter  50 value 86.987617
iter  60 value 86.178180
iter  70 value 84.557901
iter  80 value 84.119310
iter  90 value 82.782276
iter 100 value 81.930623
final  value 81.930623 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 98.547562 
iter  10 value 94.140856
iter  20 value 94.136031
iter  30 value 94.115860
iter  40 value 94.060271
iter  50 value 94.058652
iter  60 value 94.058626
iter  70 value 94.058578
final  value 94.058568 
converged
Fitting Repeat 1 

# weights:  507
initial  value 139.249549 
iter  10 value 117.898546
iter  20 value 117.826290
iter  30 value 116.279550
iter  40 value 115.010655
final  value 114.706405 
converged
Fitting Repeat 2 

# weights:  507
initial  value 124.363601 
iter  10 value 117.216549
iter  20 value 117.210935
iter  30 value 107.285119
iter  40 value 107.185134
iter  50 value 107.184356
iter  60 value 107.183786
iter  70 value 107.182786
iter  70 value 107.182785
final  value 107.182785 
converged
Fitting Repeat 3 

# weights:  507
initial  value 141.193110 
iter  10 value 117.903020
iter  20 value 117.800538
final  value 117.760033 
converged
Fitting Repeat 4 

# weights:  507
initial  value 128.081861 
iter  10 value 117.765937
iter  20 value 117.633848
iter  30 value 117.608016
iter  40 value 117.607940
iter  40 value 117.607940
iter  40 value 117.607940
final  value 117.607940 
converged
Fitting Repeat 5 

# weights:  507
initial  value 115.462921 
iter  10 value 109.806005
iter  20 value 109.164118
iter  30 value 108.445100
iter  40 value 108.402955
iter  50 value 107.140933
iter  60 value 106.867063
iter  70 value 106.828106
final  value 106.828101 
converged
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 -- Sat Mar 25 04:44:23 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 
 52.396   1.379  64.790