##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.20-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.20-bioc/R/site-library --timings HPiP_1.12.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck’
* using R version 4.4.3 (2025-02-28)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
    GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
* running under: Ubuntu 24.04.2 LTS
* using session charset: UTF-8
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.12.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘HPiP’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code 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 ... NOTE
checkRd: (-1) getHPI.Rd:29: Lost braces
    29 | then the Kronecker product is the code{(pm × qn)} block matrix
       |                                       ^
* 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       34.375  0.578  34.955
corr_plot     33.388  0.299  33.743
FSmethod      33.020  0.365  33.387
pred_ensembel 13.168  0.146  11.954
enrichfindP    0.540  0.030   8.094
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 3 NOTEs
See
  ‘/home/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.20-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.20-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 4.4.3 (2025-02-28) -- "Trophy Case"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

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 95.361750 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.449989 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.593969 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.728448 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.055267 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.697914 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 98.841025 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.622468 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.552752 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 98.740004 
final  value 94.052909 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.410348 
final  value 94.032967 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.915117 
final  value 94.032967 
converged
Fitting Repeat 3 

# weights:  507
initial  value 97.400740 
iter  10 value 93.387472
iter  20 value 91.068002
iter  30 value 91.057682
iter  30 value 91.057682
iter  30 value 91.057682
final  value 91.057682 
converged
Fitting Repeat 4 

# weights:  507
initial  value 103.398945 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 94.869078 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.042469 
iter  10 value 93.876170
iter  20 value 88.844378
iter  30 value 86.273118
iter  40 value 85.956208
iter  50 value 85.584768
iter  60 value 85.339433
iter  70 value 85.324309
final  value 85.324281 
converged
Fitting Repeat 2 

# weights:  103
initial  value 104.492024 
iter  10 value 94.053363
iter  20 value 93.521993
iter  30 value 91.924769
iter  40 value 91.888531
iter  50 value 91.867262
iter  60 value 88.587704
iter  70 value 86.035978
iter  80 value 84.374286
iter  90 value 83.414839
iter 100 value 82.970645
final  value 82.970645 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 96.044901 
iter  10 value 93.774468
iter  20 value 87.024526
iter  30 value 86.678774
iter  40 value 86.073820
iter  50 value 85.336214
iter  60 value 85.286882
final  value 85.286879 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.587588 
iter  10 value 93.869066
iter  20 value 87.436942
iter  30 value 86.965025
iter  40 value 86.723517
iter  50 value 86.234963
iter  60 value 85.142730
iter  70 value 84.964093
final  value 84.958015 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.284252 
iter  10 value 94.033056
iter  20 value 93.007841
iter  30 value 88.718151
iter  40 value 86.899970
iter  50 value 84.436317
iter  60 value 83.497932
final  value 83.483235 
converged
Fitting Repeat 1 

# weights:  305
initial  value 104.598439 
iter  10 value 94.099327
iter  20 value 93.778767
iter  30 value 89.947521
iter  40 value 88.979662
iter  50 value 85.832038
iter  60 value 84.739793
iter  70 value 83.224742
iter  80 value 82.797319
iter  90 value 82.294830
iter 100 value 82.053130
final  value 82.053130 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 114.631350 
iter  10 value 93.074528
iter  20 value 88.853352
iter  30 value 85.607480
iter  40 value 84.313081
iter  50 value 82.416174
iter  60 value 81.742158
iter  70 value 81.346197
iter  80 value 80.990757
iter  90 value 80.898247
iter 100 value 80.836909
final  value 80.836909 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 106.948936 
iter  10 value 94.052021
iter  20 value 87.399768
iter  30 value 87.001396
iter  40 value 86.608300
iter  50 value 85.892225
iter  60 value 85.500941
iter  70 value 85.358297
iter  80 value 85.114335
iter  90 value 84.985528
iter 100 value 84.335192
final  value 84.335192 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 106.388524 
iter  10 value 94.037772
iter  20 value 86.201410
iter  30 value 85.707828
iter  40 value 85.048979
iter  50 value 84.397123
iter  60 value 81.949494
iter  70 value 81.644694
iter  80 value 81.522509
iter  90 value 81.431961
iter 100 value 81.273732
final  value 81.273732 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.488470 
iter  10 value 93.988634
iter  20 value 91.278206
iter  30 value 88.521277
iter  40 value 85.141817
iter  50 value 84.585827
iter  60 value 83.757565
iter  70 value 82.663563
iter  80 value 82.158998
iter  90 value 81.701111
iter 100 value 81.367328
final  value 81.367328 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 108.754294 
iter  10 value 93.735299
iter  20 value 86.509610
iter  30 value 84.781607
iter  40 value 84.236389
iter  50 value 83.181204
iter  60 value 82.574278
iter  70 value 82.450380
iter  80 value 82.226359
iter  90 value 81.861358
iter 100 value 81.413118
final  value 81.413118 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.175506 
iter  10 value 94.325865
iter  20 value 91.234915
iter  30 value 90.814097
iter  40 value 90.691936
iter  50 value 90.610695
iter  60 value 89.525403
iter  70 value 86.183501
iter  80 value 84.059625
iter  90 value 82.225156
iter 100 value 81.658040
final  value 81.658040 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 104.713322 
iter  10 value 93.991301
iter  20 value 88.994920
iter  30 value 85.232927
iter  40 value 83.365608
iter  50 value 82.148044
iter  60 value 81.849045
iter  70 value 81.715611
iter  80 value 81.551300
iter  90 value 81.448191
iter 100 value 81.168911
final  value 81.168911 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 109.008360 
iter  10 value 93.964557
iter  20 value 86.363486
iter  30 value 85.520262
iter  40 value 83.915619
iter  50 value 83.097227
iter  60 value 82.858416
iter  70 value 81.729019
iter  80 value 81.445647
iter  90 value 81.313263
iter 100 value 80.993825
final  value 80.993825 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 117.382311 
iter  10 value 94.073791
iter  20 value 92.585940
iter  30 value 88.120129
iter  40 value 85.871203
iter  50 value 84.583891
iter  60 value 83.585986
iter  70 value 82.554660
iter  80 value 82.088379
iter  90 value 81.818398
iter 100 value 81.635823
final  value 81.635823 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.131566 
iter  10 value 93.841078
iter  20 value 93.673139
iter  20 value 93.673138
iter  20 value 93.673138
final  value 93.673138 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.408680 
iter  10 value 94.054707
iter  20 value 94.052926
iter  30 value 94.004372
iter  40 value 93.810289
iter  40 value 93.810289
iter  40 value 93.810289
final  value 93.810289 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.269429 
final  value 94.054686 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.361581 
final  value 94.054853 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.348737 
final  value 94.054523 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.428972 
iter  10 value 91.762410
iter  20 value 86.362311
iter  30 value 85.995929
iter  40 value 84.869402
iter  50 value 84.867405
iter  60 value 84.537767
iter  70 value 84.265276
iter  80 value 84.262844
iter  90 value 84.259361
iter 100 value 83.871380
final  value 83.871380 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 107.638569 
iter  10 value 93.905943
iter  20 value 93.673382
final  value 93.672236 
converged
Fitting Repeat 3 

# weights:  305
initial  value 102.286677 
iter  10 value 94.037849
iter  20 value 94.033473
final  value 94.033313 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.163504 
iter  10 value 94.057271
iter  20 value 94.043733
iter  30 value 93.202951
iter  40 value 87.147163
iter  50 value 83.898781
iter  60 value 83.344571
iter  70 value 82.577309
iter  80 value 82.403035
iter  90 value 81.540474
iter 100 value 80.354685
final  value 80.354685 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 101.611402 
iter  10 value 94.057767
iter  20 value 93.483188
final  value 92.703136 
converged
Fitting Repeat 1 

# weights:  507
initial  value 105.150646 
iter  10 value 91.622025
iter  20 value 90.869408
iter  30 value 90.820865
iter  40 value 90.819787
iter  50 value 90.809710
iter  60 value 90.804089
iter  70 value 90.599557
iter  80 value 86.082154
iter  90 value 84.870961
iter 100 value 83.190585
final  value 83.190585 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.059261 
iter  10 value 94.007871
iter  20 value 93.266941
iter  30 value 92.721584
iter  40 value 92.671785
iter  50 value 92.670088
iter  60 value 92.103792
iter  70 value 92.081831
iter  80 value 92.039358
iter  90 value 86.694030
iter 100 value 84.017118
final  value 84.017118 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 109.598921 
iter  10 value 93.177331
iter  20 value 93.064810
iter  30 value 91.820845
iter  40 value 91.819837
iter  50 value 91.805963
iter  60 value 90.774932
iter  70 value 88.583307
iter  80 value 87.462407
iter  90 value 87.028799
iter 100 value 86.926222
final  value 86.926222 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 97.127708 
iter  10 value 94.041407
iter  20 value 94.030824
iter  30 value 91.907144
iter  40 value 85.516662
iter  50 value 85.199975
iter  60 value 85.105342
final  value 85.105198 
converged
Fitting Repeat 5 

# weights:  507
initial  value 101.111208 
iter  10 value 93.552118
iter  20 value 93.543292
iter  30 value 93.183891
iter  40 value 90.946466
iter  50 value 85.529656
iter  60 value 85.266322
iter  70 value 84.815171
iter  80 value 84.498636
iter  90 value 83.986690
final  value 83.986678 
converged
Fitting Repeat 1 

# weights:  103
initial  value 106.684757 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 103.085092 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.019878 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.255582 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 103.312929 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.207110 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.363767 
iter  10 value 90.690983
iter  20 value 89.925516
final  value 89.925513 
converged
Fitting Repeat 3 

# weights:  305
initial  value 126.861371 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 101.391956 
iter  10 value 94.057231
final  value 94.057229 
converged
Fitting Repeat 5 

# weights:  305
initial  value 101.224988 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  507
initial  value 95.429966 
final  value 94.466823 
converged
Fitting Repeat 2 

# weights:  507
initial  value 114.196562 
iter  10 value 93.109891
final  value 93.109890 
converged
Fitting Repeat 3 

# weights:  507
initial  value 105.888715 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 116.597163 
final  value 94.025063 
converged
Fitting Repeat 5 

# weights:  507
initial  value 96.675821 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.540247 
iter  10 value 94.488745
iter  20 value 94.118983
iter  30 value 94.065353
iter  40 value 94.033754
iter  50 value 87.716032
iter  60 value 86.556117
iter  70 value 86.439389
iter  80 value 85.561812
iter  90 value 85.044112
final  value 85.040692 
converged
Fitting Repeat 2 

# weights:  103
initial  value 109.224099 
iter  10 value 93.709806
iter  20 value 88.182929
iter  30 value 85.500587
iter  40 value 84.402831
iter  50 value 83.137935
iter  60 value 82.115467
iter  70 value 82.058709
final  value 82.057348 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.928758 
iter  10 value 94.277490
iter  20 value 91.058569
iter  30 value 90.807323
iter  40 value 83.618052
iter  50 value 82.162745
iter  60 value 82.032364
iter  70 value 81.930650
iter  80 value 81.886340
final  value 81.886339 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.689671 
iter  10 value 94.477245
iter  20 value 94.099596
iter  30 value 92.140185
iter  40 value 84.673012
iter  50 value 82.734251
iter  60 value 82.479723
iter  70 value 82.290386
iter  80 value 82.227000
iter  90 value 82.154751
final  value 82.154750 
converged
Fitting Repeat 5 

# weights:  103
initial  value 116.395862 
iter  10 value 94.488937
iter  20 value 88.143558
iter  30 value 87.520931
iter  40 value 86.843834
iter  50 value 85.957622
iter  60 value 83.155412
iter  70 value 82.791006
iter  80 value 82.172155
iter  90 value 82.165926
iter 100 value 82.158604
final  value 82.158604 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 107.434303 
iter  10 value 94.478137
iter  20 value 93.286584
iter  30 value 92.880542
iter  40 value 86.498435
iter  50 value 83.636686
iter  60 value 83.411958
iter  70 value 82.953390
iter  80 value 82.249982
iter  90 value 81.915123
iter 100 value 81.859204
final  value 81.859204 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 125.033843 
iter  10 value 94.315282
iter  20 value 88.052988
iter  30 value 83.620441
iter  40 value 83.204634
iter  50 value 83.047269
iter  60 value 82.389179
iter  70 value 81.299065
iter  80 value 81.180420
iter  90 value 80.892194
iter 100 value 80.154154
final  value 80.154154 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.044314 
iter  10 value 94.496556
iter  20 value 93.972286
iter  30 value 93.292050
iter  40 value 87.411235
iter  50 value 82.907227
iter  60 value 82.841921
iter  70 value 82.331028
iter  80 value 81.698203
iter  90 value 80.609252
iter 100 value 79.736482
final  value 79.736482 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 105.759711 
iter  10 value 95.711393
iter  20 value 93.206880
iter  30 value 87.630013
iter  40 value 85.100211
iter  50 value 82.526097
iter  60 value 81.338462
iter  70 value 80.645202
iter  80 value 80.419086
iter  90 value 80.057317
iter 100 value 79.706323
final  value 79.706323 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 107.876064 
iter  10 value 94.380858
iter  20 value 94.043816
iter  30 value 93.219337
iter  40 value 90.103552
iter  50 value 88.965660
iter  60 value 88.365017
iter  70 value 88.057873
iter  80 value 87.670633
iter  90 value 86.007462
iter 100 value 84.625066
final  value 84.625066 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 112.658568 
iter  10 value 94.437766
iter  20 value 87.505448
iter  30 value 84.400437
iter  40 value 82.125815
iter  50 value 80.948873
iter  60 value 80.503775
iter  70 value 80.226759
iter  80 value 79.716085
iter  90 value 79.109696
iter 100 value 78.816016
final  value 78.816016 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 134.125760 
iter  10 value 95.159867
iter  20 value 94.886071
iter  30 value 83.863985
iter  40 value 83.302393
iter  50 value 82.302447
iter  60 value 81.151600
iter  70 value 80.406493
iter  80 value 79.456870
iter  90 value 79.047538
iter 100 value 78.829609
final  value 78.829609 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 110.481474 
iter  10 value 95.047460
iter  20 value 94.932035
iter  30 value 90.780935
iter  40 value 86.601437
iter  50 value 86.274002
iter  60 value 86.222994
iter  70 value 83.096515
iter  80 value 83.038435
iter  90 value 82.033467
iter 100 value 80.742536
final  value 80.742536 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 117.691483 
iter  10 value 94.523250
iter  20 value 89.680506
iter  30 value 87.525791
iter  40 value 86.357698
iter  50 value 85.083786
iter  60 value 84.277206
iter  70 value 83.930997
iter  80 value 82.522803
iter  90 value 80.715100
iter 100 value 80.219440
final  value 80.219440 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 115.075134 
iter  10 value 94.801943
iter  20 value 87.677662
iter  30 value 85.291820
iter  40 value 84.401008
iter  50 value 81.961906
iter  60 value 80.725806
iter  70 value 79.974532
iter  80 value 79.630831
iter  90 value 79.442136
iter 100 value 79.348167
final  value 79.348167 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.952576 
final  value 94.486065 
converged
Fitting Repeat 2 

# weights:  103
initial  value 107.622810 
final  value 94.486116 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.239977 
final  value 94.485579 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.874843 
iter  10 value 94.445127
iter  20 value 94.439477
iter  30 value 86.227645
iter  40 value 86.038224
iter  50 value 85.977858
iter  60 value 85.819429
iter  70 value 84.107526
iter  80 value 84.063545
final  value 84.063172 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.953214 
final  value 94.485980 
converged
Fitting Repeat 1 

# weights:  305
initial  value 97.888028 
iter  10 value 92.944995
iter  20 value 91.560824
final  value 91.559734 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.315068 
iter  10 value 94.475674
iter  20 value 94.470395
iter  30 value 94.367419
iter  40 value 83.765797
iter  50 value 81.337820
iter  60 value 81.170902
iter  70 value 81.159814
iter  80 value 81.158623
iter  90 value 81.157437
final  value 81.157347 
converged
Fitting Repeat 3 

# weights:  305
initial  value 107.053452 
iter  10 value 94.488979
iter  20 value 94.385289
iter  30 value 91.903122
iter  40 value 91.633597
final  value 91.632769 
converged
Fitting Repeat 4 

# weights:  305
initial  value 99.466945 
iter  10 value 93.614694
iter  20 value 90.602274
iter  30 value 85.259710
iter  40 value 83.791067
iter  50 value 83.445709
iter  60 value 83.282747
iter  70 value 82.429241
iter  80 value 82.019937
iter  90 value 82.019141
iter 100 value 81.933014
final  value 81.933014 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.216986 
iter  10 value 94.489361
iter  20 value 94.288998
final  value 94.057495 
converged
Fitting Repeat 1 

# weights:  507
initial  value 107.625677 
iter  10 value 94.491429
iter  20 value 84.747160
iter  30 value 82.171875
iter  40 value 81.160029
iter  50 value 81.076307
final  value 81.074151 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.052453 
iter  10 value 94.034801
iter  20 value 94.032646
iter  30 value 94.025748
iter  40 value 93.904658
iter  50 value 84.525842
final  value 84.525816 
converged
Fitting Repeat 3 

# weights:  507
initial  value 101.044706 
iter  10 value 94.491861
iter  20 value 85.287744
iter  30 value 81.563541
iter  40 value 81.465848
final  value 81.465505 
converged
Fitting Repeat 4 

# weights:  507
initial  value 107.696637 
iter  10 value 94.491713
iter  20 value 94.189830
iter  30 value 94.004374
iter  40 value 93.871939
iter  50 value 87.404485
iter  60 value 87.302361
iter  70 value 87.301005
iter  80 value 87.299321
iter  90 value 87.296466
iter 100 value 87.092358
final  value 87.092358 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 93.034265 
iter  10 value 81.632006
iter  20 value 78.662472
iter  30 value 78.478917
iter  40 value 78.306161
iter  50 value 78.023554
iter  60 value 77.856428
iter  70 value 77.850864
iter  80 value 77.848975
iter  90 value 77.844106
final  value 77.844086 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.822888 
final  value 94.252920 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.912392 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.941106 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.937202 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 103.645512 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 108.825467 
iter  10 value 94.245894
final  value 94.229692 
converged
Fitting Repeat 2 

# weights:  305
initial  value 98.081845 
iter  10 value 85.449640
iter  20 value 85.245528
iter  30 value 85.244710
iter  40 value 85.244579
final  value 85.244555 
converged
Fitting Repeat 3 

# weights:  305
initial  value 111.428649 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.240584 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 107.136852 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 102.588484 
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  507
initial  value 124.320259 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 96.843787 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 105.185633 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 110.762224 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.234852 
iter  10 value 94.486889
iter  20 value 94.163222
iter  30 value 91.653771
iter  40 value 90.839654
iter  50 value 85.775422
iter  60 value 84.331723
iter  70 value 84.275955
iter  80 value 83.985117
iter  90 value 83.964859
iter  90 value 83.964859
iter  90 value 83.964859
final  value 83.964859 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.452060 
iter  10 value 94.463735
iter  20 value 86.765371
iter  30 value 85.940664
iter  40 value 85.636325
iter  50 value 83.814539
iter  60 value 83.548606
iter  70 value 83.526036
final  value 83.525857 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.813272 
iter  10 value 94.488432
iter  20 value 94.332496
iter  30 value 94.328983
iter  40 value 94.276144
iter  50 value 91.232458
iter  60 value 90.333330
iter  70 value 90.213031
iter  80 value 89.699086
iter  90 value 85.154370
iter 100 value 82.996881
final  value 82.996881 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 97.188072 
iter  10 value 94.497906
iter  20 value 94.488679
iter  30 value 94.303273
iter  40 value 94.243170
iter  50 value 94.230589
iter  60 value 86.603653
iter  70 value 85.883881
iter  80 value 85.863416
iter  90 value 85.860001
iter 100 value 85.627435
final  value 85.627435 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 108.956395 
iter  10 value 94.259146
iter  20 value 86.947913
iter  30 value 86.484469
iter  40 value 84.534316
iter  50 value 83.976235
iter  60 value 83.965000
iter  70 value 83.964867
final  value 83.964860 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.928421 
iter  10 value 94.521228
iter  20 value 90.418918
iter  30 value 89.038645
iter  40 value 86.466144
iter  50 value 84.623202
iter  60 value 82.200011
iter  70 value 81.281305
iter  80 value 80.312429
iter  90 value 80.059081
iter 100 value 79.729940
final  value 79.729940 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 123.660595 
iter  10 value 94.495739
iter  20 value 92.274151
iter  30 value 84.732341
iter  40 value 84.566571
iter  50 value 83.942402
iter  60 value 82.270780
iter  70 value 82.191698
iter  80 value 81.785102
iter  90 value 81.271657
iter 100 value 80.097431
final  value 80.097431 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.611084 
iter  10 value 94.541691
iter  20 value 94.494281
iter  30 value 94.047350
iter  40 value 90.821012
iter  50 value 87.873469
iter  60 value 86.202392
iter  70 value 82.434993
iter  80 value 81.528807
iter  90 value 80.750247
iter 100 value 80.536630
final  value 80.536630 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 106.906046 
iter  10 value 94.395232
iter  20 value 87.417415
iter  30 value 86.822216
iter  40 value 84.558069
iter  50 value 82.704500
iter  60 value 81.922701
iter  70 value 81.784328
iter  80 value 81.637552
iter  90 value 81.566948
iter 100 value 81.505209
final  value 81.505209 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 106.614864 
iter  10 value 94.488682
iter  20 value 93.983108
iter  30 value 91.917940
iter  40 value 85.438174
iter  50 value 85.036814
iter  60 value 83.506420
iter  70 value 82.148778
iter  80 value 81.357476
iter  90 value 80.981433
iter 100 value 80.107324
final  value 80.107324 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 124.927415 
iter  10 value 93.494114
iter  20 value 90.417588
iter  30 value 89.343182
iter  40 value 84.813865
iter  50 value 84.499743
iter  60 value 84.155961
iter  70 value 83.869737
iter  80 value 83.645585
iter  90 value 83.515903
iter 100 value 82.621504
final  value 82.621504 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 135.054722 
iter  10 value 100.858535
iter  20 value 98.068395
iter  30 value 92.725641
iter  40 value 87.723289
iter  50 value 84.645657
iter  60 value 83.605450
iter  70 value 83.146770
iter  80 value 82.884800
iter  90 value 82.540811
iter 100 value 80.542594
final  value 80.542594 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 107.841415 
iter  10 value 95.056315
iter  20 value 92.923566
iter  30 value 84.346428
iter  40 value 84.058291
iter  50 value 83.197080
iter  60 value 82.199285
iter  70 value 81.240391
iter  80 value 80.109876
iter  90 value 79.653288
iter 100 value 79.488468
final  value 79.488468 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 123.728823 
iter  10 value 94.150767
iter  20 value 88.834218
iter  30 value 87.173538
iter  40 value 87.081802
iter  50 value 84.706861
iter  60 value 83.950602
iter  70 value 82.941752
iter  80 value 81.824325
iter  90 value 81.591797
iter 100 value 81.098369
final  value 81.098369 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 106.482850 
iter  10 value 94.235764
iter  20 value 92.747335
iter  30 value 90.911764
iter  40 value 83.828850
iter  50 value 82.937739
iter  60 value 82.001091
iter  70 value 81.005268
iter  80 value 79.821990
iter  90 value 79.448473
iter 100 value 79.368248
final  value 79.368248 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.888049 
final  value 94.485838 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.351930 
final  value 94.485805 
converged
Fitting Repeat 3 

# weights:  103
initial  value 94.674192 
final  value 94.485724 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.280719 
iter  10 value 94.485864
iter  20 value 94.484250
final  value 94.484216 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.936553 
final  value 94.486245 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.050648 
iter  10 value 94.489146
iter  20 value 94.484382
final  value 94.484261 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.769971 
iter  10 value 94.462045
iter  20 value 94.033953
iter  30 value 83.403276
iter  40 value 83.145063
iter  50 value 82.347867
iter  60 value 82.251755
final  value 82.251720 
converged
Fitting Repeat 3 

# weights:  305
initial  value 101.112501 
iter  10 value 94.484483
iter  20 value 94.276403
iter  30 value 94.275847
iter  40 value 94.256761
iter  50 value 94.185556
iter  60 value 85.040880
iter  70 value 84.523939
iter  80 value 84.434147
iter  90 value 84.433966
iter  90 value 84.433965
iter  90 value 84.433965
final  value 84.433965 
converged
Fitting Repeat 4 

# weights:  305
initial  value 103.626638 
iter  10 value 94.488946
iter  20 value 93.833013
final  value 93.702085 
converged
Fitting Repeat 5 

# weights:  305
initial  value 98.682350 
iter  10 value 94.489016
iter  20 value 94.484361
iter  30 value 94.040739
iter  40 value 83.812332
iter  50 value 83.749314
iter  60 value 83.745009
iter  70 value 83.738397
iter  80 value 83.736999
iter  90 value 83.734581
iter 100 value 82.754565
final  value 82.754565 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 99.359955 
iter  10 value 94.283321
iter  20 value 94.228595
iter  30 value 91.516156
iter  40 value 90.293121
iter  50 value 89.609067
iter  60 value 83.226085
iter  70 value 81.685875
iter  80 value 81.549650
iter  90 value 81.321329
iter 100 value 81.302389
final  value 81.302389 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 107.150674 
iter  10 value 93.511955
iter  20 value 93.507132
iter  30 value 87.291119
iter  40 value 85.250682
iter  50 value 85.247665
iter  60 value 84.446858
final  value 84.362215 
converged
Fitting Repeat 3 

# weights:  507
initial  value 99.822308 
iter  10 value 86.408791
iter  20 value 85.656485
iter  30 value 85.251073
iter  40 value 85.249775
iter  50 value 85.248449
iter  60 value 85.248010
final  value 85.247941 
converged
Fitting Repeat 4 

# weights:  507
initial  value 117.407335 
iter  10 value 94.493014
iter  20 value 94.481895
iter  30 value 88.719966
iter  40 value 88.411813
iter  40 value 88.411813
iter  40 value 88.411813
final  value 88.411813 
converged
Fitting Repeat 5 

# weights:  507
initial  value 102.656022 
iter  10 value 90.031825
iter  20 value 86.516513
iter  30 value 86.514869
iter  40 value 86.506663
iter  50 value 86.491159
iter  60 value 84.236831
iter  70 value 83.033337
iter  80 value 83.028906
iter  90 value 82.889452
iter 100 value 82.390248
final  value 82.390248 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.698691 
iter  10 value 93.773018
final  value 93.772973 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.556094 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.217429 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.698755 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 105.719804 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 103.188605 
final  value 94.046703 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.567206 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 108.130829 
iter  10 value 94.486975
iter  20 value 94.484213
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.579678 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.228444 
final  value 93.772974 
converged
Fitting Repeat 1 

# weights:  507
initial  value 95.798415 
final  value 94.484137 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.055336 
iter  10 value 93.773994
final  value 93.772973 
converged
Fitting Repeat 3 

# weights:  507
initial  value 102.402948 
iter  10 value 93.778551
iter  20 value 93.724301
iter  30 value 93.722226
final  value 93.722223 
converged
Fitting Repeat 4 

# weights:  507
initial  value 108.234652 
iter  10 value 93.797481
iter  20 value 93.194713
iter  30 value 93.108075
iter  40 value 93.086119
final  value 93.070833 
converged
Fitting Repeat 5 

# weights:  507
initial  value 107.495993 
iter  10 value 93.772973
iter  10 value 93.772973
iter  10 value 93.772973
final  value 93.772973 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.334893 
iter  10 value 94.556903
iter  20 value 94.464794
iter  30 value 92.785039
iter  40 value 90.973082
iter  50 value 89.134402
iter  60 value 85.341435
iter  70 value 84.759076
iter  80 value 84.317768
iter  90 value 84.216229
final  value 84.210353 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.601693 
iter  10 value 94.490049
iter  20 value 91.083450
iter  30 value 90.884897
iter  40 value 87.146358
iter  50 value 82.399257
iter  60 value 81.433256
iter  70 value 81.221688
iter  80 value 81.026433
iter  90 value 80.974049
iter 100 value 80.958129
final  value 80.958129 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 115.085194 
iter  10 value 94.449155
iter  20 value 88.936802
iter  30 value 87.250843
iter  40 value 84.772186
iter  50 value 84.608984
iter  60 value 84.606907
iter  60 value 84.606906
iter  60 value 84.606906
final  value 84.606906 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.794635 
iter  10 value 93.989179
iter  20 value 93.968713
iter  30 value 93.575015
iter  40 value 87.004255
iter  50 value 84.679744
iter  60 value 83.513126
iter  70 value 82.835455
iter  80 value 82.045770
iter  90 value 81.771049
iter 100 value 80.900679
final  value 80.900679 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 96.980458 
iter  10 value 94.476432
iter  20 value 91.041222
iter  30 value 84.915417
iter  40 value 83.177618
iter  50 value 82.170544
iter  60 value 81.495728
iter  70 value 80.964818
final  value 80.957415 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.391160 
iter  10 value 94.574124
iter  20 value 89.609988
iter  30 value 85.654162
iter  40 value 84.904810
iter  50 value 83.826816
iter  60 value 83.083774
iter  70 value 82.428884
iter  80 value 82.001023
iter  90 value 80.701823
iter 100 value 80.255153
final  value 80.255153 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 108.746824 
iter  10 value 94.032493
iter  20 value 93.315840
iter  30 value 86.983190
iter  40 value 83.455233
iter  50 value 81.954546
iter  60 value 81.251975
iter  70 value 80.562144
iter  80 value 79.475594
iter  90 value 79.225862
iter 100 value 79.191718
final  value 79.191718 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.125646 
iter  10 value 88.678920
iter  20 value 87.683287
iter  30 value 87.151679
iter  40 value 86.613330
iter  50 value 83.568480
iter  60 value 81.371735
iter  70 value 79.876597
iter  80 value 79.795967
iter  90 value 79.415496
iter 100 value 79.274696
final  value 79.274696 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 124.873313 
iter  10 value 94.507134
iter  20 value 92.414481
iter  30 value 89.591965
iter  40 value 85.441753
iter  50 value 85.028101
iter  60 value 84.923088
iter  70 value 84.394525
iter  80 value 82.668683
iter  90 value 80.654475
iter 100 value 79.956041
final  value 79.956041 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 133.733087 
iter  10 value 93.528490
iter  20 value 90.058028
iter  30 value 89.632845
iter  40 value 88.085581
iter  50 value 83.647406
iter  60 value 82.015078
iter  70 value 81.531852
iter  80 value 81.349614
iter  90 value 80.895888
iter 100 value 80.669720
final  value 80.669720 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 122.371842 
iter  10 value 92.490055
iter  20 value 89.327222
iter  30 value 86.065121
iter  40 value 85.562310
iter  50 value 84.950509
iter  60 value 82.621723
iter  70 value 82.170412
iter  80 value 81.695691
iter  90 value 81.288800
iter 100 value 81.131120
final  value 81.131120 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 103.371043 
iter  10 value 95.603842
iter  20 value 88.860678
iter  30 value 86.134484
iter  40 value 85.652335
iter  50 value 84.677610
iter  60 value 84.003541
iter  70 value 81.773051
iter  80 value 80.218188
iter  90 value 79.877103
iter 100 value 79.647591
final  value 79.647591 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.871976 
iter  10 value 94.068258
iter  20 value 91.548986
iter  30 value 88.199583
iter  40 value 87.382393
iter  50 value 84.824818
iter  60 value 81.782231
iter  70 value 80.563114
iter  80 value 80.168612
iter  90 value 80.058494
iter 100 value 79.821963
final  value 79.821963 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 105.728144 
iter  10 value 94.409875
iter  20 value 88.687315
iter  30 value 84.811114
iter  40 value 82.140843
iter  50 value 80.913647
iter  60 value 80.558451
iter  70 value 80.216510
iter  80 value 80.127356
iter  90 value 80.064203
iter 100 value 79.925504
final  value 79.925504 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 105.353245 
iter  10 value 94.771628
iter  20 value 90.141114
iter  30 value 88.711885
iter  40 value 87.509374
iter  50 value 86.059954
iter  60 value 83.535957
iter  70 value 82.542388
iter  80 value 82.414376
iter  90 value 81.654269
iter 100 value 81.518482
final  value 81.518482 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.454367 
iter  10 value 94.389158
iter  20 value 93.731457
iter  30 value 93.727386
final  value 93.727359 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.858468 
final  value 94.485719 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.641446 
final  value 94.485595 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.029859 
final  value 94.485901 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.663165 
iter  10 value 93.469160
iter  20 value 93.458330
iter  30 value 92.925526
iter  40 value 92.114126
final  value 92.114118 
converged
Fitting Repeat 1 

# weights:  305
initial  value 104.245418 
iter  10 value 94.488463
iter  20 value 93.966514
final  value 93.773326 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.589730 
iter  10 value 92.843383
iter  20 value 89.497432
final  value 89.362492 
converged
Fitting Repeat 3 

# weights:  305
initial  value 137.482258 
iter  10 value 94.059599
iter  20 value 94.054828
iter  30 value 92.067916
iter  40 value 87.123933
iter  50 value 81.575016
iter  60 value 80.610645
iter  70 value 79.325215
iter  80 value 78.887750
iter  90 value 78.702382
iter 100 value 78.668504
final  value 78.668504 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.759250 
iter  10 value 94.489044
iter  20 value 94.476852
iter  30 value 92.618324
final  value 92.617570 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.666092 
iter  10 value 93.573826
iter  20 value 92.868929
iter  30 value 92.859486
iter  40 value 92.858503
iter  50 value 92.857247
iter  60 value 92.772883
iter  70 value 92.770756
iter  80 value 92.770705
iter  90 value 92.770604
final  value 92.770574 
converged
Fitting Repeat 1 

# weights:  507
initial  value 102.600836 
iter  10 value 94.132459
iter  20 value 93.624275
iter  30 value 93.210011
iter  40 value 92.096147
iter  50 value 91.870050
iter  60 value 91.181763
iter  70 value 91.151296
iter  80 value 91.149755
iter  90 value 91.147462
iter 100 value 90.587336
final  value 90.587336 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 103.346415 
iter  10 value 93.781830
iter  20 value 93.770116
iter  30 value 93.723802
iter  40 value 93.723517
iter  50 value 88.684789
iter  60 value 80.279687
iter  70 value 79.781325
iter  80 value 79.755901
iter  90 value 79.734610
iter 100 value 79.166897
final  value 79.166897 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 101.988556 
iter  10 value 94.491377
iter  20 value 94.452331
iter  30 value 90.766971
iter  40 value 90.646816
iter  50 value 90.547596
iter  60 value 90.329303
iter  70 value 90.324993
iter  80 value 90.322160
iter  90 value 90.123922
final  value 90.123832 
converged
Fitting Repeat 4 

# weights:  507
initial  value 106.037489 
iter  10 value 92.974561
iter  20 value 85.825603
iter  30 value 85.792989
iter  40 value 84.747953
iter  50 value 83.423512
iter  60 value 83.367662
iter  70 value 83.296934
iter  80 value 83.295589
iter  90 value 83.293099
iter 100 value 83.222894
final  value 83.222894 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 122.384482 
iter  10 value 94.492076
iter  20 value 93.081060
iter  30 value 87.353218
iter  40 value 85.000007
iter  50 value 80.204034
iter  60 value 79.389720
iter  70 value 79.366779
iter  80 value 79.332914
iter  90 value 79.240968
iter 100 value 79.236899
final  value 79.236899 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.464811 
iter  10 value 94.044615
final  value 94.044529 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.998056 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.615156 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 107.151721 
iter  10 value 93.768924
iter  20 value 93.714334
final  value 93.714286 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.200346 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 97.481329 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 102.883432 
final  value 94.032967 
converged
Fitting Repeat 3 

# weights:  305
initial  value 94.150395 
iter  10 value 91.026871
iter  20 value 90.770754
iter  30 value 90.764004
final  value 90.763994 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.522027 
iter  10 value 93.746082
iter  20 value 83.876215
iter  30 value 82.848939
final  value 82.848894 
converged
Fitting Repeat 5 

# weights:  305
initial  value 103.935166 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.463471 
final  value 94.052906 
converged
Fitting Repeat 2 

# weights:  507
initial  value 101.408871 
iter  10 value 93.818049
iter  20 value 93.712398
iter  30 value 93.682529
iter  40 value 93.651924
iter  50 value 93.649811
iter  60 value 93.625641
iter  70 value 93.611857
final  value 93.611849 
converged
Fitting Repeat 3 

# weights:  507
initial  value 109.456537 
final  value 93.697143 
converged
Fitting Repeat 4 

# weights:  507
initial  value 105.935585 
iter  10 value 88.797806
final  value 86.618182 
converged
Fitting Repeat 5 

# weights:  507
initial  value 126.502930 
final  value 93.697143 
converged
Fitting Repeat 1 

# weights:  103
initial  value 97.689117 
iter  10 value 94.057396
iter  20 value 93.958292
iter  30 value 93.266382
iter  40 value 87.431511
iter  50 value 86.287668
iter  60 value 86.115528
iter  70 value 86.005585
iter  80 value 85.948784
iter  90 value 85.630070
iter 100 value 81.400398
final  value 81.400398 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 99.208441 
iter  10 value 94.106792
iter  20 value 94.055278
iter  30 value 93.296334
iter  40 value 93.261549
iter  50 value 93.257227
iter  60 value 93.246540
iter  70 value 91.266765
iter  80 value 84.955082
iter  90 value 83.467544
iter 100 value 82.903475
final  value 82.903475 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 100.568710 
iter  10 value 93.730253
iter  20 value 84.894112
iter  30 value 84.008849
iter  40 value 83.292275
iter  50 value 82.889094
final  value 82.876460 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.911833 
iter  10 value 94.056699
iter  20 value 86.653628
iter  30 value 84.011537
iter  40 value 83.106852
iter  50 value 82.876572
final  value 82.876460 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.417963 
iter  10 value 94.055306
iter  20 value 93.363905
iter  30 value 93.264337
iter  40 value 93.259850
iter  50 value 93.257498
iter  60 value 93.257293
iter  70 value 90.998997
iter  80 value 85.147951
iter  90 value 83.691418
iter 100 value 82.984030
final  value 82.984030 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 115.821218 
iter  10 value 94.081661
iter  20 value 92.886991
iter  30 value 87.425463
iter  40 value 84.399506
iter  50 value 83.117363
iter  60 value 82.630196
iter  70 value 82.544513
iter  80 value 82.470191
iter  90 value 82.294291
iter 100 value 81.243242
final  value 81.243242 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.249158 
iter  10 value 84.922475
iter  20 value 83.692472
iter  30 value 82.718477
iter  40 value 81.385268
iter  50 value 80.600583
iter  60 value 80.456163
iter  70 value 80.334594
iter  80 value 80.183387
iter  90 value 79.874367
iter 100 value 79.751936
final  value 79.751936 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 100.381114 
iter  10 value 94.030027
iter  20 value 93.401003
iter  30 value 93.184205
iter  40 value 92.230415
iter  50 value 84.616348
iter  60 value 83.091443
iter  70 value 82.638903
iter  80 value 81.312712
iter  90 value 80.623695
iter 100 value 80.430997
final  value 80.430997 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 106.111992 
iter  10 value 94.095837
iter  20 value 92.293466
iter  30 value 87.956191
iter  40 value 85.511339
iter  50 value 84.480292
iter  60 value 82.288542
iter  70 value 81.315798
iter  80 value 80.529721
iter  90 value 80.329751
iter 100 value 80.236652
final  value 80.236652 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 115.042371 
iter  10 value 94.150372
iter  20 value 93.986808
iter  30 value 84.352373
iter  40 value 83.627770
iter  50 value 81.744835
iter  60 value 81.346345
iter  70 value 81.283701
iter  80 value 81.243808
iter  90 value 81.057208
iter 100 value 80.926371
final  value 80.926371 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 107.686677 
iter  10 value 94.048468
iter  20 value 87.781384
iter  30 value 84.049974
iter  40 value 83.122547
iter  50 value 82.475976
iter  60 value 81.901209
iter  70 value 81.498030
iter  80 value 81.198568
iter  90 value 80.838778
iter 100 value 80.375011
final  value 80.375011 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 129.208091 
iter  10 value 93.945665
iter  20 value 91.090858
iter  30 value 82.901339
iter  40 value 81.245898
iter  50 value 80.729881
iter  60 value 80.328963
iter  70 value 80.124027
iter  80 value 79.844060
iter  90 value 79.444753
iter 100 value 79.378687
final  value 79.378687 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 108.883503 
iter  10 value 94.180988
iter  20 value 86.926938
iter  30 value 84.668052
iter  40 value 83.800112
iter  50 value 83.464264
iter  60 value 82.939770
iter  70 value 81.791266
iter  80 value 80.309952
iter  90 value 79.956475
iter 100 value 79.791640
final  value 79.791640 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 129.542951 
iter  10 value 95.466591
iter  20 value 84.823382
iter  30 value 83.131714
iter  40 value 82.035149
iter  50 value 80.955946
iter  60 value 80.332825
iter  70 value 80.131888
iter  80 value 79.941549
iter  90 value 79.719075
iter 100 value 79.550310
final  value 79.550310 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 106.161243 
iter  10 value 91.346171
iter  20 value 84.029965
iter  30 value 82.054377
iter  40 value 80.990305
iter  50 value 80.765909
iter  60 value 80.667377
iter  70 value 80.522748
iter  80 value 80.289421
iter  90 value 80.054828
iter 100 value 79.779094
final  value 79.779094 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.515122 
final  value 94.034426 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.740726 
final  value 94.054421 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.670997 
final  value 94.054486 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.257541 
final  value 94.054350 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.907011 
final  value 94.054550 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.491473 
iter  10 value 94.055104
iter  20 value 92.983716
iter  30 value 85.746376
iter  40 value 85.592189
iter  50 value 85.378921
iter  60 value 83.468879
iter  70 value 80.576440
iter  80 value 80.157539
iter  90 value 79.554469
iter 100 value 79.339880
final  value 79.339880 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 94.531410 
iter  10 value 93.702151
iter  20 value 93.171324
iter  30 value 93.053878
iter  40 value 84.115434
iter  50 value 83.911742
iter  60 value 83.905390
iter  70 value 83.872358
final  value 83.871927 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.411498 
iter  10 value 94.057857
iter  20 value 93.973119
iter  30 value 86.598968
iter  40 value 84.414062
iter  50 value 81.230062
iter  60 value 81.225724
final  value 81.225037 
converged
Fitting Repeat 4 

# weights:  305
initial  value 99.492962 
iter  10 value 93.672103
iter  20 value 93.669914
iter  30 value 91.092673
iter  40 value 83.471794
iter  50 value 83.432469
iter  60 value 83.430825
iter  70 value 82.560051
iter  80 value 81.259129
iter  90 value 81.090199
iter 100 value 81.079324
final  value 81.079324 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 109.147266 
iter  10 value 94.058126
iter  20 value 94.052935
iter  30 value 93.193089
iter  40 value 86.100723
iter  50 value 86.034628
iter  60 value 84.916811
iter  60 value 84.916810
iter  60 value 84.916810
final  value 84.916810 
converged
Fitting Repeat 1 

# weights:  507
initial  value 99.241458 
iter  10 value 93.686687
iter  20 value 93.674477
iter  30 value 93.215187
iter  40 value 92.890847
iter  50 value 91.963760
iter  60 value 84.164316
iter  70 value 81.806311
iter  80 value 81.213737
iter  90 value 81.095384
iter 100 value 81.044752
final  value 81.044752 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.821443 
iter  10 value 92.032245
iter  20 value 91.799909
iter  30 value 91.797011
iter  40 value 91.793994
final  value 91.786807 
converged
Fitting Repeat 3 

# weights:  507
initial  value 142.874073 
iter  10 value 94.041077
iter  20 value 85.911688
iter  30 value 84.764984
iter  40 value 84.763452
iter  50 value 84.717120
iter  60 value 84.031553
iter  70 value 84.020347
iter  80 value 84.019542
iter  90 value 83.722220
iter 100 value 81.453566
final  value 81.453566 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 104.966328 
iter  10 value 94.060572
iter  20 value 87.791234
iter  30 value 83.872823
iter  40 value 83.864700
iter  50 value 83.828470
iter  60 value 83.051248
iter  70 value 80.447130
iter  80 value 79.244095
iter  90 value 78.994400
iter 100 value 78.868917
final  value 78.868917 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 128.994555 
iter  10 value 91.967112
iter  20 value 85.658264
iter  30 value 85.657573
iter  40 value 83.636918
iter  50 value 82.461746
iter  60 value 82.306239
iter  70 value 82.305312
iter  80 value 81.284173
final  value 81.280363 
converged
Fitting Repeat 1 

# weights:  305
initial  value 120.657455 
iter  10 value 117.895501
iter  20 value 117.886826
iter  30 value 113.160967
iter  40 value 105.493539
iter  50 value 105.344839
iter  60 value 105.342538
iter  70 value 105.342205
iter  80 value 104.369492
iter  90 value 103.695140
final  value 103.691754 
converged
Fitting Repeat 2 

# weights:  305
initial  value 120.474312 
iter  10 value 117.763522
iter  20 value 117.746750
iter  30 value 108.568597
iter  40 value 108.524704
iter  50 value 104.872331
iter  60 value 102.811244
final  value 102.747210 
converged
Fitting Repeat 3 

# weights:  305
initial  value 123.407314 
iter  10 value 117.894463
iter  20 value 117.889478
iter  30 value 115.023678
iter  40 value 115.018635
iter  50 value 108.982918
iter  60 value 104.167813
iter  70 value 103.983731
iter  80 value 103.388054
iter  90 value 101.275506
iter 100 value 100.633426
final  value 100.633426 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 134.343170 
iter  10 value 117.894785
iter  20 value 117.890367
final  value 117.890300 
converged
Fitting Repeat 5 

# weights:  305
initial  value 142.573598 
iter  10 value 117.102887
iter  20 value 116.937084
iter  30 value 113.881456
iter  40 value 113.682456
iter  50 value 113.676115
iter  50 value 113.676114
final  value 113.676114 
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 -- Mon Mar 31 23:07:08 2025 
*********************************************** 
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 
 41.670   1.350 128.802