##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings HPiP_1.13.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.21-bioc/meat/HPiP.Rcheck’
* using R Under development (unstable) (2025-02-19 r87757)
* using platform: aarch64-unknown-linux-gnu
* R was compiled by
    aarch64-unknown-linux-gnu-gcc (GCC) 14.2.0
    GNU Fortran (GCC) 14.2.0
* running under: openEuler 24.03 (LTS-SP1)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.13.0’
* 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 ... INFO
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       39.202  0.308  39.564
corr_plot     37.465  0.383  37.910
FSmethod      37.456  0.196  37.720
pred_ensembel 18.259  0.417  17.479
enrichfindP    0.541  0.028  24.246
getFASTA       0.125  0.016   7.199
* 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 running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 NOTEs
See
  ‘/home/biocbuild/bbs-3.21-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/R/R-devel_2025-02-19/site-library’
* installing *source* package ‘HPiP’ ...
** this is package ‘HPiP’ version ‘1.13.0’
** 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) (2025-02-19 r87757) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-unknown-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 108.281166 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.810068 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.174963 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 106.985527 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.721349 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  305
initial  value 116.227921 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.914841 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.882117 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 108.706557 
iter  10 value 94.316879
iter  20 value 94.315790
iter  20 value 94.315790
iter  20 value 94.315790
final  value 94.315790 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.980646 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 103.851085 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 103.185432 
final  value 94.253430 
converged
Fitting Repeat 3 

# weights:  507
initial  value 113.623887 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 99.326640 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 111.032672 
final  value 94.114232 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.402536 
iter  10 value 92.756637
iter  20 value 85.076851
iter  30 value 84.383456
iter  40 value 83.974203
iter  50 value 83.247425
iter  60 value 82.835037
iter  70 value 82.667252
final  value 82.667243 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.629537 
iter  10 value 94.860277
iter  20 value 93.857637
iter  30 value 89.048816
iter  40 value 86.803266
iter  50 value 86.634336
iter  60 value 86.045093
iter  70 value 84.736986
iter  80 value 84.716943
final  value 84.716861 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.491123 
iter  10 value 94.573295
iter  20 value 94.481579
iter  30 value 93.518086
iter  40 value 85.268338
iter  50 value 83.676950
iter  60 value 83.028482
iter  70 value 82.741196
iter  80 value 82.667260
final  value 82.667242 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.860542 
iter  10 value 94.489251
iter  20 value 91.769627
iter  30 value 88.810477
iter  40 value 88.637157
iter  50 value 88.217981
iter  60 value 87.872144
iter  70 value 86.366969
iter  80 value 85.816322
iter  90 value 85.173632
iter 100 value 84.782866
final  value 84.782866 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 100.565527 
iter  10 value 94.517629
iter  20 value 94.204466
iter  30 value 88.225651
iter  40 value 87.306021
iter  50 value 86.369312
iter  60 value 85.102116
iter  70 value 84.761909
iter  80 value 84.717163
final  value 84.716860 
converged
Fitting Repeat 1 

# weights:  305
initial  value 99.784378 
iter  10 value 94.213847
iter  20 value 87.369990
iter  30 value 86.020622
iter  40 value 85.950076
iter  50 value 85.552681
iter  60 value 83.786053
iter  70 value 81.920073
iter  80 value 81.569029
iter  90 value 81.472472
iter 100 value 81.403311
final  value 81.403311 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.819521 
iter  10 value 92.316921
iter  20 value 86.238692
iter  30 value 85.966837
iter  40 value 84.960733
iter  50 value 83.269649
iter  60 value 81.939041
iter  70 value 81.260850
iter  80 value 80.925977
iter  90 value 80.689023
iter 100 value 80.522751
final  value 80.522751 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.426719 
iter  10 value 94.638373
iter  20 value 94.114105
iter  30 value 92.672115
iter  40 value 92.419722
iter  50 value 90.667548
iter  60 value 83.483411
iter  70 value 82.719416
iter  80 value 81.991302
iter  90 value 81.657752
iter 100 value 81.216739
final  value 81.216739 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 101.298139 
iter  10 value 94.376775
iter  20 value 86.768230
iter  30 value 85.695316
iter  40 value 85.373216
iter  50 value 84.585158
iter  60 value 84.507387
iter  70 value 84.447953
iter  80 value 84.405785
iter  90 value 83.632766
iter 100 value 82.548622
final  value 82.548622 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 105.888408 
iter  10 value 94.390483
iter  20 value 89.460470
iter  30 value 86.373444
iter  40 value 85.579927
iter  50 value 85.088153
iter  60 value 84.881653
iter  70 value 83.092940
iter  80 value 82.039510
iter  90 value 81.814282
iter 100 value 81.578998
final  value 81.578998 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 111.409223 
iter  10 value 95.137884
iter  20 value 87.245479
iter  30 value 85.290774
iter  40 value 84.152997
iter  50 value 83.035194
iter  60 value 81.739877
iter  70 value 81.238092
iter  80 value 81.167227
iter  90 value 81.109685
iter 100 value 81.010048
final  value 81.010048 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 111.430229 
iter  10 value 94.158324
iter  20 value 85.178816
iter  30 value 84.337519
iter  40 value 83.987202
iter  50 value 83.730808
iter  60 value 83.230313
iter  70 value 82.285214
iter  80 value 81.286403
iter  90 value 81.177135
iter 100 value 81.144216
final  value 81.144216 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 129.119358 
iter  10 value 94.935157
iter  20 value 94.249138
iter  30 value 91.981243
iter  40 value 87.372555
iter  50 value 82.863909
iter  60 value 82.318591
iter  70 value 81.739325
iter  80 value 81.234873
iter  90 value 80.900996
iter 100 value 80.846004
final  value 80.846004 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 111.310764 
iter  10 value 94.835934
iter  20 value 93.770043
iter  30 value 86.468161
iter  40 value 86.168573
iter  50 value 84.760567
iter  60 value 83.716020
iter  70 value 81.456909
iter  80 value 81.076251
iter  90 value 80.944470
iter 100 value 80.852011
final  value 80.852011 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 126.907118 
iter  10 value 95.001102
iter  20 value 91.285734
iter  30 value 87.245764
iter  40 value 84.368433
iter  50 value 82.698980
iter  60 value 82.146821
iter  70 value 81.708051
iter  80 value 81.314470
iter  90 value 80.995446
iter 100 value 80.447709
final  value 80.447709 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 98.511583 
final  value 94.486011 
converged
Fitting Repeat 2 

# weights:  103
initial  value 105.324932 
final  value 94.486033 
converged
Fitting Repeat 3 

# weights:  103
initial  value 112.692945 
final  value 94.485929 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.757125 
final  value 94.485806 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.519932 
iter  10 value 94.143967
iter  20 value 93.785229
iter  30 value 86.922966
iter  40 value 86.874701
iter  50 value 86.112793
iter  60 value 86.110916
iter  70 value 86.037811
iter  80 value 85.606337
iter  90 value 85.455801
iter 100 value 85.439741
final  value 85.439741 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 108.131064 
iter  10 value 94.471678
iter  20 value 94.467717
iter  30 value 92.033542
iter  40 value 91.933299
final  value 91.881304 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.480302 
iter  10 value 94.132333
iter  20 value 93.749061
iter  30 value 85.947593
iter  40 value 84.147590
iter  50 value 84.118178
iter  60 value 84.086330
final  value 84.085854 
converged
Fitting Repeat 3 

# weights:  305
initial  value 97.921759 
iter  10 value 92.950512
iter  20 value 92.932798
iter  30 value 92.421069
iter  40 value 92.293660
iter  50 value 92.292476
iter  60 value 91.832376
iter  70 value 91.831906
iter  80 value 91.806874
iter  90 value 91.715244
iter 100 value 91.689845
final  value 91.689845 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 95.816405 
iter  10 value 94.488888
iter  20 value 94.144343
iter  30 value 91.745671
iter  40 value 91.171364
iter  50 value 91.154496
iter  60 value 91.152915
iter  70 value 91.001941
iter  80 value 90.514345
iter  90 value 90.416995
iter 100 value 90.412902
final  value 90.412902 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 95.025445 
iter  10 value 94.488898
iter  20 value 94.323839
iter  30 value 86.349412
iter  40 value 85.812774
iter  50 value 85.479822
iter  60 value 84.673745
iter  70 value 84.261903
iter  80 value 84.199192
final  value 84.199012 
converged
Fitting Repeat 1 

# weights:  507
initial  value 125.263951 
iter  10 value 89.071818
iter  20 value 85.065951
iter  30 value 83.856853
iter  40 value 83.739898
iter  50 value 83.720936
iter  60 value 83.565721
iter  70 value 82.532750
iter  80 value 81.307368
iter  90 value 81.111570
iter 100 value 81.109233
final  value 81.109233 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 120.488580 
iter  10 value 94.495218
iter  20 value 94.127235
iter  30 value 94.115745
iter  40 value 85.895908
iter  50 value 85.457657
iter  60 value 85.457504
iter  70 value 85.443300
final  value 85.437616 
converged
Fitting Repeat 3 

# weights:  507
initial  value 103.319743 
iter  10 value 94.491903
iter  20 value 92.130339
iter  30 value 85.206001
iter  40 value 83.648188
iter  50 value 83.610748
final  value 83.610699 
converged
Fitting Repeat 4 

# weights:  507
initial  value 118.137852 
iter  10 value 94.492390
iter  20 value 94.481729
iter  30 value 90.924000
iter  40 value 84.270702
iter  50 value 84.193097
iter  60 value 84.024162
iter  70 value 83.928704
iter  80 value 83.927833
iter  90 value 83.794544
iter 100 value 83.792192
final  value 83.792192 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 110.428819 
iter  10 value 94.474523
iter  20 value 94.397664
iter  30 value 92.269053
iter  40 value 91.808856
iter  50 value 91.652051
final  value 91.651902 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.711810 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.718634 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 109.237738 
iter  10 value 93.583328
final  value 93.582441 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.965609 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.967146 
iter  10 value 93.582418
iter  10 value 93.582418
iter  10 value 93.582418
final  value 93.582418 
converged
Fitting Repeat 1 

# weights:  305
initial  value 107.370389 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 102.745428 
final  value 93.582418 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.980091 
iter  10 value 93.026720
iter  20 value 84.703128
iter  30 value 84.317517
iter  40 value 84.310321
iter  50 value 84.310279
final  value 84.310277 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.083528 
final  value 93.604520 
converged
Fitting Repeat 5 

# weights:  305
initial  value 94.386510 
iter  10 value 87.989035
iter  20 value 86.572860
iter  30 value 85.959917
iter  40 value 85.657710
iter  50 value 85.631912
iter  60 value 85.630686
final  value 85.630675 
converged
Fitting Repeat 1 

# weights:  507
initial  value 101.313510 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 108.396941 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 96.777724 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 112.124946 
final  value 92.868704 
converged
Fitting Repeat 5 

# weights:  507
initial  value 93.965507 
iter  10 value 81.583093
final  value 81.559126 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.496809 
iter  10 value 94.080034
iter  20 value 92.599468
iter  30 value 83.303070
iter  40 value 82.584867
iter  50 value 82.381942
iter  60 value 82.119921
iter  70 value 81.924452
final  value 81.918965 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.852592 
iter  10 value 94.074550
iter  20 value 93.910043
iter  30 value 93.166961
iter  40 value 93.128818
iter  50 value 92.748396
iter  60 value 82.360998
iter  70 value 81.036408
iter  80 value 80.894105
iter  90 value 80.675501
iter 100 value 80.575002
final  value 80.575002 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 103.080115 
iter  10 value 94.056772
iter  20 value 93.202924
iter  30 value 92.953749
iter  40 value 87.772338
iter  50 value 84.302938
iter  60 value 81.464588
iter  70 value 79.854475
iter  80 value 79.117911
iter  90 value 79.109487
final  value 79.100514 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.424529 
iter  10 value 94.421680
iter  20 value 94.059816
iter  30 value 93.978486
iter  40 value 93.691297
iter  50 value 93.388994
iter  60 value 93.128684
iter  70 value 82.868024
iter  80 value 80.245385
iter  90 value 79.888435
iter 100 value 79.586627
final  value 79.586627 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 100.532860 
iter  10 value 94.349355
iter  20 value 94.035370
iter  30 value 87.329611
iter  40 value 82.576839
iter  50 value 82.331624
iter  60 value 82.048005
iter  70 value 81.919913
final  value 81.918965 
converged
Fitting Repeat 1 

# weights:  305
initial  value 113.063070 
iter  10 value 93.887809
iter  20 value 84.345323
iter  30 value 82.241868
iter  40 value 80.443460
iter  50 value 80.234859
iter  60 value 79.344315
iter  70 value 78.119033
iter  80 value 77.761809
iter  90 value 77.634509
iter 100 value 77.590524
final  value 77.590524 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 113.440447 
iter  10 value 94.609541
iter  20 value 88.302173
iter  30 value 83.332030
iter  40 value 83.002879
iter  50 value 82.284252
iter  60 value 81.012464
iter  70 value 79.601291
iter  80 value 78.940165
iter  90 value 78.735533
iter 100 value 78.357672
final  value 78.357672 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 136.295320 
iter  10 value 94.841367
iter  20 value 86.437701
iter  30 value 83.214534
iter  40 value 82.408281
iter  50 value 82.129071
iter  60 value 81.295096
iter  70 value 80.520357
iter  80 value 80.254573
iter  90 value 79.937816
iter 100 value 79.420320
final  value 79.420320 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 99.543272 
iter  10 value 94.193684
iter  20 value 93.069532
iter  30 value 87.914631
iter  40 value 80.102906
iter  50 value 79.892262
iter  60 value 79.338680
iter  70 value 79.239098
iter  80 value 78.945562
iter  90 value 78.789699
iter 100 value 78.457669
final  value 78.457669 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 102.493478 
iter  10 value 93.927878
iter  20 value 86.045828
iter  30 value 83.279616
iter  40 value 82.090173
iter  50 value 81.633477
iter  60 value 81.458862
iter  70 value 81.444563
iter  80 value 81.180673
iter  90 value 80.368325
iter 100 value 79.292124
final  value 79.292124 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 103.052884 
iter  10 value 94.791455
iter  20 value 89.914834
iter  30 value 83.484191
iter  40 value 80.404450
iter  50 value 79.834171
iter  60 value 79.644618
iter  70 value 79.129932
iter  80 value 78.942256
iter  90 value 78.721931
iter 100 value 78.162037
final  value 78.162037 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 104.980954 
iter  10 value 92.816217
iter  20 value 86.097420
iter  30 value 80.566781
iter  40 value 79.874030
iter  50 value 79.340418
iter  60 value 78.495845
iter  70 value 77.919502
iter  80 value 77.429707
iter  90 value 77.373492
iter 100 value 77.123648
final  value 77.123648 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 109.492448 
iter  10 value 95.493517
iter  20 value 93.316088
iter  30 value 86.568760
iter  40 value 81.826453
iter  50 value 80.903868
iter  60 value 80.711985
iter  70 value 80.262536
iter  80 value 79.997200
iter  90 value 79.456393
iter 100 value 79.357862
final  value 79.357862 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 122.119599 
iter  10 value 93.953381
iter  20 value 91.928773
iter  30 value 90.344614
iter  40 value 83.895886
iter  50 value 82.306115
iter  60 value 79.520589
iter  70 value 79.102793
iter  80 value 78.534052
iter  90 value 78.070260
iter 100 value 77.953620
final  value 77.953620 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 106.955853 
iter  10 value 95.318796
iter  20 value 88.766621
iter  30 value 82.990133
iter  40 value 81.031585
iter  50 value 80.374319
iter  60 value 79.777852
iter  70 value 79.679304
iter  80 value 79.320609
iter  90 value 78.569886
iter 100 value 77.830257
final  value 77.830257 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.156731 
final  value 94.054322 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.764692 
iter  10 value 94.010238
iter  20 value 94.008898
iter  30 value 85.520560
iter  40 value 81.563013
iter  50 value 81.557854
iter  60 value 81.066164
iter  70 value 80.951758
final  value 80.951616 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.383821 
final  value 94.054308 
converged
Fitting Repeat 4 

# weights:  103
initial  value 107.437184 
final  value 94.054290 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.527279 
final  value 94.054585 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.009781 
iter  10 value 93.533660
iter  20 value 93.529661
final  value 93.528930 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.007306 
iter  10 value 92.982126
iter  20 value 92.976210
iter  30 value 92.974554
iter  40 value 92.944747
iter  50 value 92.942079
iter  60 value 92.154179
iter  70 value 84.160940
final  value 81.414753 
converged
Fitting Repeat 3 

# weights:  305
initial  value 101.239504 
iter  10 value 92.880405
iter  20 value 92.873197
iter  30 value 92.831709
iter  40 value 92.829599
iter  50 value 92.829459
iter  60 value 90.889160
iter  70 value 79.895260
iter  80 value 78.564399
iter  90 value 78.219926
iter 100 value 78.147858
final  value 78.147858 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 100.600810 
iter  10 value 91.453271
iter  20 value 83.873083
iter  30 value 82.940362
iter  40 value 82.937645
iter  50 value 82.934971
iter  60 value 79.368851
iter  70 value 78.983632
iter  80 value 78.932582
final  value 78.930134 
converged
Fitting Repeat 5 

# weights:  305
initial  value 107.944465 
iter  10 value 94.055940
iter  20 value 94.052938
iter  30 value 92.964401
iter  40 value 90.842706
iter  50 value 90.819167
iter  60 value 90.816750
iter  70 value 90.814744
iter  80 value 90.813730
iter  90 value 90.813374
final  value 90.813367 
converged
Fitting Repeat 1 

# weights:  507
initial  value 145.623049 
iter  10 value 94.061244
iter  20 value 93.592110
iter  30 value 90.571652
iter  40 value 82.051750
iter  50 value 80.928487
iter  60 value 77.518557
iter  70 value 76.804598
iter  80 value 76.071107
iter  90 value 76.015040
iter 100 value 75.983878
final  value 75.983878 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 121.265177 
iter  10 value 93.591262
iter  20 value 93.584184
iter  30 value 84.654951
iter  40 value 84.180442
iter  50 value 82.283943
iter  60 value 80.689481
iter  70 value 80.684471
iter  80 value 78.841139
iter  90 value 78.129082
iter 100 value 77.710866
final  value 77.710866 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 98.435236 
iter  10 value 94.060876
iter  20 value 93.596777
iter  30 value 93.583790
iter  40 value 92.867574
iter  50 value 88.623493
iter  60 value 88.583800
iter  70 value 88.582876
final  value 88.582852 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.215162 
iter  10 value 94.061964
final  value 94.054277 
converged
Fitting Repeat 5 

# weights:  507
initial  value 103.607330 
iter  10 value 93.970897
iter  20 value 93.155217
iter  30 value 82.714189
iter  40 value 82.003504
iter  50 value 81.371268
iter  60 value 80.630085
iter  70 value 80.253302
iter  80 value 80.125754
iter  90 value 80.077619
iter  90 value 80.077618
iter  90 value 80.077618
final  value 80.077618 
converged
Fitting Repeat 1 

# weights:  103
initial  value 107.826237 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.193060 
iter  10 value 94.231731
iter  10 value 94.231730
iter  10 value 94.231730
final  value 94.231730 
converged
Fitting Repeat 3 

# weights:  103
initial  value 109.776270 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.277241 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.001574 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 112.566840 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 94.894466 
iter  10 value 94.231730
iter  10 value 94.231729
iter  10 value 94.231729
final  value 94.231729 
converged
Fitting Repeat 3 

# weights:  305
initial  value 104.172647 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 103.337963 
iter  10 value 94.437562
iter  20 value 94.405732
final  value 94.405644 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.605784 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 95.997876 
iter  10 value 94.231734
final  value 94.231729 
converged
Fitting Repeat 2 

# weights:  507
initial  value 113.136837 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 101.621758 
iter  10 value 94.231991
final  value 94.231729 
converged
Fitting Repeat 4 

# weights:  507
initial  value 112.895720 
iter  10 value 94.453370
iter  20 value 93.186481
final  value 93.109890 
converged
Fitting Repeat 5 

# weights:  507
initial  value 107.680449 
iter  10 value 93.141751
iter  20 value 87.043995
iter  30 value 86.844274
iter  40 value 86.792460
iter  50 value 86.514961
iter  60 value 85.216337
iter  70 value 83.448989
iter  80 value 83.352529
iter  80 value 83.352529
final  value 83.352529 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.135847 
iter  10 value 94.408188
iter  20 value 89.739734
iter  30 value 85.371850
iter  40 value 84.543221
iter  50 value 84.384503
iter  60 value 83.283700
iter  70 value 83.125795
iter  80 value 82.984951
final  value 82.981469 
converged
Fitting Repeat 2 

# weights:  103
initial  value 108.343490 
iter  10 value 94.392148
iter  20 value 92.773782
iter  30 value 88.448471
iter  40 value 86.894108
iter  50 value 85.665459
iter  60 value 84.623295
iter  70 value 84.408485
iter  80 value 83.828803
iter  90 value 83.806337
iter 100 value 83.686999
final  value 83.686999 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 109.627431 
iter  10 value 94.471827
iter  20 value 93.522460
iter  30 value 89.007954
iter  40 value 88.160936
iter  50 value 87.364503
iter  60 value 86.672692
iter  70 value 86.374504
iter  80 value 86.236983
final  value 86.201868 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.192579 
iter  10 value 94.292119
iter  20 value 89.406783
iter  30 value 87.477545
iter  40 value 87.202948
iter  50 value 86.136402
iter  60 value 84.816287
iter  70 value 84.751784
iter  80 value 84.748361
final  value 84.748340 
converged
Fitting Repeat 5 

# weights:  103
initial  value 110.522323 
iter  10 value 94.087834
iter  20 value 87.479834
iter  30 value 86.829217
iter  40 value 86.583056
iter  50 value 85.814917
iter  60 value 84.584690
iter  70 value 84.321987
iter  80 value 84.305795
final  value 84.304997 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.005742 
iter  10 value 94.455007
iter  20 value 91.310027
iter  30 value 86.971809
iter  40 value 84.910987
iter  50 value 84.228598
iter  60 value 84.143888
iter  70 value 84.137741
iter  80 value 84.124339
iter  90 value 84.101550
iter 100 value 83.284328
final  value 83.284328 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 105.267602 
iter  10 value 94.791755
iter  20 value 94.492402
iter  30 value 90.455957
iter  40 value 86.206787
iter  50 value 86.028201
iter  60 value 85.258019
iter  70 value 84.892004
iter  80 value 84.689866
iter  90 value 83.759091
iter 100 value 83.019073
final  value 83.019073 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 116.432587 
iter  10 value 94.305457
iter  20 value 91.196526
iter  30 value 87.078374
iter  40 value 86.103160
iter  50 value 85.547918
iter  60 value 85.437598
iter  70 value 85.362012
iter  80 value 85.156707
iter  90 value 83.682964
iter 100 value 82.762595
final  value 82.762595 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 101.971902 
iter  10 value 94.511880
iter  20 value 86.957194
iter  30 value 85.789134
iter  40 value 85.685404
iter  50 value 84.739168
iter  60 value 83.346639
iter  70 value 82.598720
iter  80 value 82.097659
iter  90 value 81.885190
iter 100 value 81.825800
final  value 81.825800 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 101.004384 
iter  10 value 92.237456
iter  20 value 87.482542
iter  30 value 85.998668
iter  40 value 84.794098
iter  50 value 84.721962
iter  60 value 84.308287
iter  70 value 84.035771
iter  80 value 83.853209
iter  90 value 83.078475
iter 100 value 82.731151
final  value 82.731151 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 106.779586 
iter  10 value 97.813386
iter  20 value 94.648366
iter  30 value 94.533877
iter  40 value 91.871251
iter  50 value 90.956774
iter  60 value 87.539341
iter  70 value 86.407975
iter  80 value 85.915460
iter  90 value 83.749784
iter 100 value 82.130730
final  value 82.130730 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 122.944032 
iter  10 value 94.628194
iter  20 value 92.503491
iter  30 value 87.901030
iter  40 value 86.878228
iter  50 value 86.033235
iter  60 value 83.301103
iter  70 value 83.012349
iter  80 value 82.868631
iter  90 value 82.621888
iter 100 value 82.191875
final  value 82.191875 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 115.939848 
iter  10 value 96.375933
iter  20 value 88.011472
iter  30 value 86.291589
iter  40 value 85.265180
iter  50 value 83.126214
iter  60 value 82.922880
iter  70 value 82.012533
iter  80 value 81.599375
iter  90 value 81.556992
iter 100 value 81.457540
final  value 81.457540 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 103.666567 
iter  10 value 97.628843
iter  20 value 86.915089
iter  30 value 84.969020
iter  40 value 84.252033
iter  50 value 82.980160
iter  60 value 82.137671
iter  70 value 81.835582
iter  80 value 81.765623
iter  90 value 81.722795
iter 100 value 81.700784
final  value 81.700784 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 115.224649 
iter  10 value 94.536888
iter  20 value 90.456401
iter  30 value 89.121193
iter  40 value 86.074843
iter  50 value 84.902999
iter  60 value 84.648519
iter  70 value 83.496577
iter  80 value 82.671287
iter  90 value 82.372088
iter 100 value 82.148200
final  value 82.148200 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 94.691386 
final  value 94.485947 
converged
Fitting Repeat 2 

# weights:  103
initial  value 105.733790 
final  value 94.485651 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.132611 
final  value 94.463167 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.043597 
iter  10 value 94.486042
iter  20 value 94.484271
final  value 94.484215 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.412388 
final  value 94.485921 
converged
Fitting Repeat 1 

# weights:  305
initial  value 114.729777 
iter  10 value 94.489303
iter  20 value 94.398617
iter  30 value 87.050074
final  value 87.035386 
converged
Fitting Repeat 2 

# weights:  305
initial  value 100.945121 
iter  10 value 94.236650
iter  20 value 94.232763
iter  30 value 93.137274
iter  40 value 92.352341
iter  50 value 92.313741
final  value 92.313713 
converged
Fitting Repeat 3 

# weights:  305
initial  value 102.517759 
iter  10 value 94.487933
iter  20 value 94.405654
iter  30 value 88.530663
iter  40 value 88.528423
iter  50 value 88.254534
iter  60 value 86.381290
iter  70 value 83.247929
iter  80 value 83.088690
iter  90 value 83.082885
iter 100 value 83.080781
final  value 83.080781 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 97.958091 
iter  10 value 94.488695
iter  20 value 94.469861
iter  30 value 86.422628
iter  40 value 86.163409
final  value 86.162809 
converged
Fitting Repeat 5 

# weights:  305
initial  value 101.099853 
iter  10 value 94.488963
iter  20 value 94.483455
iter  30 value 90.875279
iter  40 value 85.334176
iter  50 value 85.206594
iter  60 value 84.962567
iter  70 value 84.855169
iter  70 value 84.855168
iter  70 value 84.855168
final  value 84.855168 
converged
Fitting Repeat 1 

# weights:  507
initial  value 99.678974 
iter  10 value 94.222258
iter  20 value 94.067681
iter  30 value 94.064459
iter  40 value 93.974846
iter  50 value 93.907292
iter  60 value 93.881698
iter  70 value 93.881135
iter  80 value 93.881092
iter  90 value 93.880644
final  value 93.880615 
converged
Fitting Repeat 2 

# weights:  507
initial  value 129.137181 
iter  10 value 94.203318
iter  20 value 94.201922
iter  30 value 89.003012
iter  40 value 86.812080
iter  50 value 84.031822
iter  60 value 82.908797
iter  70 value 82.617782
iter  80 value 81.800310
iter  90 value 81.589198
iter 100 value 81.517885
final  value 81.517885 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 111.088456 
iter  10 value 94.492205
iter  20 value 94.442181
final  value 94.232139 
converged
Fitting Repeat 4 

# weights:  507
initial  value 100.785047 
iter  10 value 94.562052
iter  20 value 93.086073
iter  30 value 90.665491
iter  40 value 90.597842
iter  50 value 90.595347
iter  60 value 90.477949
iter  70 value 90.463415
iter  80 value 88.445370
iter  90 value 85.625482
iter 100 value 85.574030
final  value 85.574030 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 104.561750 
iter  10 value 94.492561
iter  20 value 94.488942
iter  30 value 94.357065
iter  40 value 93.737925
iter  50 value 92.693414
iter  60 value 85.048161
iter  70 value 84.081739
iter  80 value 84.076304
final  value 84.076275 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.691679 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.934438 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 94.734917 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.758963 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 107.033811 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 95.629630 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 117.934553 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.319451 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 105.732395 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.597717 
iter  10 value 93.502768
final  value 93.502241 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.028875 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.548627 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 100.264857 
final  value 93.582418 
converged
Fitting Repeat 4 

# weights:  507
initial  value 102.557082 
iter  10 value 93.407205
iter  20 value 90.176200
iter  30 value 89.155956
iter  40 value 87.239169
iter  50 value 87.223360
iter  60 value 87.205840
final  value 87.205831 
converged
Fitting Repeat 5 

# weights:  507
initial  value 134.291112 
final  value 94.052911 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.294213 
iter  10 value 93.752815
iter  20 value 93.319712
iter  30 value 92.007889
iter  40 value 91.966552
iter  50 value 84.508375
iter  60 value 82.073583
iter  70 value 81.401036
iter  80 value 81.129980
iter  90 value 80.855694
iter 100 value 80.311749
final  value 80.311749 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 99.194304 
iter  10 value 94.052076
iter  20 value 93.707786
iter  30 value 93.684375
iter  30 value 93.684374
iter  40 value 93.101979
iter  50 value 89.453044
iter  60 value 88.860011
iter  70 value 86.059967
iter  80 value 82.476758
iter  90 value 82.325304
iter 100 value 81.645168
final  value 81.645168 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 99.977075 
iter  10 value 94.063775
iter  20 value 91.526156
iter  30 value 83.731467
iter  40 value 83.650078
iter  50 value 83.545686
iter  60 value 83.517441
final  value 83.509623 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.355427 
iter  10 value 94.056859
iter  20 value 84.666604
iter  30 value 83.673168
iter  40 value 83.652845
iter  50 value 83.526582
iter  60 value 83.510506
final  value 83.509623 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.860667 
iter  10 value 94.055321
iter  20 value 93.631533
iter  30 value 88.733371
iter  40 value 82.181957
iter  50 value 81.914465
iter  60 value 81.833765
iter  70 value 81.379250
iter  80 value 80.772436
iter  90 value 80.574820
final  value 80.573222 
converged
Fitting Repeat 1 

# weights:  305
initial  value 110.241129 
iter  10 value 94.077009
iter  20 value 93.978992
iter  30 value 93.199454
iter  40 value 92.347789
iter  50 value 89.848186
iter  60 value 85.543256
iter  70 value 80.521708
iter  80 value 80.389054
iter  90 value 80.188804
iter 100 value 80.024290
final  value 80.024290 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 108.172787 
iter  10 value 95.756229
iter  20 value 93.868666
iter  30 value 93.662583
iter  40 value 93.063302
iter  50 value 86.928612
iter  60 value 82.833109
iter  70 value 80.278980
iter  80 value 79.897801
iter  90 value 79.680885
iter 100 value 79.479877
final  value 79.479877 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 132.585362 
iter  10 value 93.721415
iter  20 value 86.986873
iter  30 value 84.807269
iter  40 value 84.210300
iter  50 value 81.774765
iter  60 value 81.185940
iter  70 value 80.701559
iter  80 value 80.587329
iter  90 value 80.327272
iter 100 value 79.517284
final  value 79.517284 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 113.772761 
iter  10 value 94.185849
iter  20 value 84.079378
iter  30 value 83.536724
iter  40 value 83.233539
iter  50 value 82.764965
iter  60 value 82.605687
iter  70 value 82.353064
iter  80 value 81.654948
iter  90 value 80.240906
iter 100 value 79.863897
final  value 79.863897 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 120.661622 
iter  10 value 94.822152
iter  20 value 94.069066
iter  30 value 90.989467
iter  40 value 85.517367
iter  50 value 84.041464
iter  60 value 83.218816
iter  70 value 81.665509
iter  80 value 81.175846
iter  90 value 81.062134
iter 100 value 81.006506
final  value 81.006506 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 111.541406 
iter  10 value 90.680803
iter  20 value 82.054887
iter  30 value 81.804885
iter  40 value 80.876760
iter  50 value 80.460100
iter  60 value 79.869404
iter  70 value 79.637079
iter  80 value 79.399384
iter  90 value 79.285959
iter 100 value 79.036852
final  value 79.036852 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 102.624203 
iter  10 value 92.139537
iter  20 value 92.042340
iter  30 value 85.936551
iter  40 value 84.338268
iter  50 value 82.922519
iter  60 value 81.861738
iter  70 value 80.519710
iter  80 value 80.386122
iter  90 value 79.858805
iter 100 value 79.635846
final  value 79.635846 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.304280 
iter  10 value 91.356490
iter  20 value 83.238193
iter  30 value 81.586785
iter  40 value 81.275784
iter  50 value 80.155418
iter  60 value 79.142604
iter  70 value 78.969674
iter  80 value 78.888112
iter  90 value 78.726819
iter 100 value 78.676436
final  value 78.676436 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 105.785087 
iter  10 value 92.457905
iter  20 value 89.319646
iter  30 value 87.158589
iter  40 value 86.078484
iter  50 value 85.295194
iter  60 value 82.986758
iter  70 value 82.015444
iter  80 value 80.969080
iter  90 value 80.169556
iter 100 value 79.721996
final  value 79.721996 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 108.040903 
iter  10 value 96.520083
iter  20 value 91.310831
iter  30 value 86.779347
iter  40 value 85.478425
iter  50 value 84.819359
iter  60 value 82.663518
iter  70 value 81.285929
iter  80 value 80.477760
iter  90 value 80.232155
iter 100 value 79.753881
final  value 79.753881 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.591305 
final  value 94.054525 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.372361 
iter  10 value 93.514394
iter  20 value 93.504031
iter  30 value 93.502670
final  value 93.502611 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.190606 
iter  10 value 93.475581
final  value 93.475573 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.678662 
final  value 94.054560 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.267834 
iter  10 value 94.054254
final  value 94.052934 
converged
Fitting Repeat 1 

# weights:  305
initial  value 105.533931 
iter  10 value 91.587676
iter  20 value 89.326675
iter  30 value 89.265893
iter  40 value 89.125056
iter  50 value 89.124561
iter  60 value 89.120845
iter  70 value 89.119920
iter  80 value 89.054026
iter  90 value 88.717315
iter 100 value 83.869875
final  value 83.869875 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 96.387443 
iter  10 value 93.951966
iter  20 value 93.948794
iter  30 value 93.733919
iter  40 value 93.246936
iter  50 value 93.206146
final  value 93.205949 
converged
Fitting Repeat 3 

# weights:  305
initial  value 109.036761 
iter  10 value 94.058013
iter  20 value 94.052939
iter  20 value 94.052938
iter  20 value 94.052938
final  value 94.052938 
converged
Fitting Repeat 4 

# weights:  305
initial  value 111.786115 
iter  10 value 93.587725
iter  20 value 93.403906
iter  30 value 90.631914
iter  40 value 83.552417
iter  50 value 83.538896
iter  60 value 83.538706
final  value 83.538704 
converged
Fitting Repeat 5 

# weights:  305
initial  value 103.358646 
iter  10 value 94.057597
iter  20 value 94.053439
iter  30 value 93.583316
final  value 93.583170 
converged
Fitting Repeat 1 

# weights:  507
initial  value 106.765194 
iter  10 value 94.063355
iter  20 value 94.054471
iter  30 value 92.938787
iter  40 value 89.953424
iter  50 value 89.924383
iter  60 value 89.654469
iter  70 value 86.342973
iter  80 value 83.749519
iter  90 value 83.730976
iter 100 value 81.877634
final  value 81.877634 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.568896 
iter  10 value 93.578121
iter  20 value 93.510664
iter  30 value 93.449975
iter  40 value 93.239670
iter  50 value 93.235435
final  value 93.235428 
converged
Fitting Repeat 3 

# weights:  507
initial  value 110.159156 
iter  10 value 93.999666
iter  20 value 93.994991
iter  30 value 93.485983
iter  40 value 93.432327
iter  50 value 93.356141
iter  60 value 93.344772
iter  70 value 93.069582
iter  80 value 85.921495
iter  90 value 84.281604
iter 100 value 84.279489
final  value 84.279489 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 101.733878 
iter  10 value 93.590569
iter  20 value 93.583059
final  value 93.582691 
converged
Fitting Repeat 5 

# weights:  507
initial  value 111.555168 
iter  10 value 94.034318
iter  20 value 94.026417
iter  30 value 93.163947
iter  40 value 86.510589
iter  50 value 86.136914
iter  60 value 86.010477
final  value 86.008482 
converged
Fitting Repeat 1 

# weights:  103
initial  value 117.530779 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.829353 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.756995 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.104785 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.519058 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 112.227355 
iter  10 value 94.481938
iter  20 value 94.479645
final  value 94.479641 
converged
Fitting Repeat 2 

# weights:  305
initial  value 97.723921 
final  value 94.354396 
converged
Fitting Repeat 3 

# weights:  305
initial  value 103.087775 
final  value 93.809648 
converged
Fitting Repeat 4 

# weights:  305
initial  value 108.570931 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.286264 
final  value 94.354396 
converged
Fitting Repeat 1 

# weights:  507
initial  value 105.295715 
final  value 94.354396 
converged
Fitting Repeat 2 

# weights:  507
initial  value 115.382745 
final  value 94.354396 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.096892 
iter  10 value 93.873946
final  value 93.809648 
converged
Fitting Repeat 4 

# weights:  507
initial  value 109.321602 
final  value 94.354396 
converged
Fitting Repeat 5 

# weights:  507
initial  value 113.496024 
iter  10 value 90.711640
iter  20 value 89.894049
iter  30 value 89.890520
final  value 89.890457 
converged
Fitting Repeat 1 

# weights:  103
initial  value 108.291904 
iter  10 value 94.470095
iter  20 value 93.900610
iter  30 value 93.897762
iter  40 value 93.894972
iter  50 value 92.812194
iter  60 value 89.974588
iter  70 value 87.719470
iter  80 value 85.332029
iter  90 value 82.229248
iter 100 value 82.166284
final  value 82.166284 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 97.416092 
iter  10 value 94.419329
iter  20 value 85.866740
iter  30 value 85.358424
iter  40 value 83.600685
iter  50 value 83.195932
iter  60 value 83.064584
final  value 83.059876 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.531945 
iter  10 value 94.447458
iter  20 value 93.911777
iter  30 value 89.669845
iter  40 value 87.110215
iter  50 value 86.008482
iter  60 value 83.718094
iter  70 value 82.960740
iter  80 value 82.834505
iter  90 value 82.784210
iter 100 value 82.664298
final  value 82.664298 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 96.074382 
iter  10 value 94.482430
iter  20 value 93.896335
iter  30 value 88.413244
iter  40 value 84.430648
iter  50 value 83.961087
iter  60 value 83.810537
iter  70 value 83.572998
iter  80 value 83.561877
final  value 83.561841 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.174929 
iter  10 value 89.023201
iter  20 value 85.998534
iter  30 value 85.887030
iter  40 value 85.475236
iter  50 value 83.979351
iter  60 value 83.636119
iter  70 value 83.572357
iter  80 value 83.561972
final  value 83.561841 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.214998 
iter  10 value 94.460831
iter  20 value 89.475691
iter  30 value 87.374318
iter  40 value 86.244399
iter  50 value 85.290538
iter  60 value 82.420041
iter  70 value 81.984954
iter  80 value 81.335331
iter  90 value 81.108811
iter 100 value 80.981295
final  value 80.981295 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 111.208184 
iter  10 value 94.293335
iter  20 value 87.105094
iter  30 value 86.416206
iter  40 value 85.759310
iter  50 value 84.988937
iter  60 value 83.187648
iter  70 value 81.198679
iter  80 value 80.219969
iter  90 value 80.157599
iter 100 value 80.115337
final  value 80.115337 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.091405 
iter  10 value 94.464235
iter  20 value 89.612889
iter  30 value 84.877289
iter  40 value 83.175648
iter  50 value 82.720085
iter  60 value 82.630874
iter  70 value 82.605727
iter  80 value 82.541816
iter  90 value 82.397141
iter 100 value 82.338700
final  value 82.338700 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 119.420082 
iter  10 value 95.713712
iter  20 value 93.972147
iter  30 value 90.296019
iter  40 value 86.498549
iter  50 value 85.789012
iter  60 value 83.550653
iter  70 value 82.037280
iter  80 value 81.689621
iter  90 value 81.567011
iter 100 value 81.142865
final  value 81.142865 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 114.345869 
iter  10 value 94.508421
iter  20 value 92.210565
iter  30 value 89.610890
iter  40 value 88.868409
iter  50 value 88.719216
iter  60 value 85.158966
iter  70 value 83.872347
iter  80 value 83.633984
iter  90 value 83.084468
iter 100 value 82.896575
final  value 82.896575 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.235004 
iter  10 value 94.821074
iter  20 value 94.196048
iter  30 value 93.798836
iter  40 value 91.918941
iter  50 value 86.152974
iter  60 value 84.273995
iter  70 value 82.214012
iter  80 value 81.773833
iter  90 value 81.273026
iter 100 value 81.224598
final  value 81.224598 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 113.230022 
iter  10 value 95.027497
iter  20 value 91.797639
iter  30 value 85.307315
iter  40 value 83.772032
iter  50 value 82.569691
iter  60 value 82.260956
iter  70 value 81.763490
iter  80 value 81.693820
iter  90 value 81.556037
iter 100 value 81.054041
final  value 81.054041 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 120.403388 
iter  10 value 94.432904
iter  20 value 93.811120
iter  30 value 87.846390
iter  40 value 85.355696
iter  50 value 82.316132
iter  60 value 81.666856
iter  70 value 81.098893
iter  80 value 80.856488
iter  90 value 80.779280
iter 100 value 80.516324
final  value 80.516324 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 110.897454 
iter  10 value 94.699779
iter  20 value 94.339984
iter  30 value 86.575066
iter  40 value 85.615469
iter  50 value 85.429110
iter  60 value 83.842753
iter  70 value 83.572945
iter  80 value 83.299439
iter  90 value 83.281310
iter 100 value 83.253113
final  value 83.253113 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 106.006698 
iter  10 value 94.343180
iter  20 value 92.984384
iter  30 value 87.843384
iter  40 value 87.200438
iter  50 value 86.424386
iter  60 value 85.889423
iter  70 value 84.522439
iter  80 value 82.099153
iter  90 value 81.131410
iter 100 value 81.019228
final  value 81.019228 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.082386 
final  value 94.486001 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.113174 
final  value 94.485755 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.100886 
final  value 94.485583 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.081081 
final  value 94.485986 
converged
Fitting Repeat 5 

# weights:  103
initial  value 115.426973 
final  value 94.485889 
converged
Fitting Repeat 1 

# weights:  305
initial  value 111.902627 
iter  10 value 94.488711
iter  20 value 94.356887
iter  30 value 94.044059
iter  40 value 93.810131
final  value 93.810084 
converged
Fitting Repeat 2 

# weights:  305
initial  value 94.802738 
iter  10 value 94.484863
iter  20 value 94.060984
final  value 93.809808 
converged
Fitting Repeat 3 

# weights:  305
initial  value 109.670121 
iter  10 value 94.489134
iter  20 value 94.246101
iter  30 value 85.345393
final  value 85.335004 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.263786 
iter  10 value 94.359497
iter  20 value 94.179524
iter  30 value 87.326491
iter  40 value 85.611712
iter  50 value 83.025993
iter  60 value 80.404556
iter  70 value 79.805951
iter  80 value 79.697256
iter  90 value 79.618654
iter 100 value 79.221619
final  value 79.221619 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 99.623000 
iter  10 value 94.359264
iter  20 value 93.865488
iter  30 value 89.072301
iter  40 value 85.120443
iter  50 value 84.984450
iter  60 value 84.973265
iter  70 value 84.849593
iter  80 value 84.648407
iter  90 value 84.632747
iter 100 value 84.631759
final  value 84.631759 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 112.348586 
iter  10 value 94.362745
iter  20 value 94.326896
iter  30 value 94.000236
iter  40 value 93.651253
iter  50 value 85.993996
iter  60 value 85.990508
iter  70 value 83.643228
iter  80 value 81.048777
iter  90 value 80.994311
iter 100 value 80.991002
final  value 80.991002 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 131.693838 
iter  10 value 94.492090
iter  20 value 94.477912
iter  30 value 85.617308
iter  40 value 85.548523
iter  50 value 83.602744
iter  60 value 82.821415
iter  70 value 82.793663
iter  80 value 82.585227
iter  90 value 82.493456
iter 100 value 82.482797
final  value 82.482797 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 102.784099 
iter  10 value 94.495645
iter  20 value 94.045841
iter  30 value 84.978354
iter  40 value 82.618473
iter  50 value 82.596313
iter  60 value 82.595329
iter  70 value 82.524719
iter  80 value 81.447535
final  value 81.429152 
converged
Fitting Repeat 4 

# weights:  507
initial  value 100.294375 
iter  10 value 94.492102
iter  20 value 94.484437
final  value 94.484230 
converged
Fitting Repeat 5 

# weights:  507
initial  value 111.767961 
iter  10 value 94.089679
iter  20 value 91.424010
iter  30 value 91.421299
iter  40 value 91.420420
iter  50 value 91.419477
iter  60 value 91.383916
iter  70 value 90.215660
iter  80 value 88.064528
iter  90 value 87.983121
iter 100 value 87.980920
final  value 87.980920 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 155.076235 
iter  10 value 117.767480
iter  20 value 117.623676
iter  30 value 110.635859
iter  40 value 104.907541
iter  50 value 102.843137
iter  60 value 101.750344
iter  70 value 101.536434
iter  80 value 101.532078
final  value 101.531934 
converged
Fitting Repeat 2 

# weights:  507
initial  value 130.474439 
iter  10 value 117.213915
iter  20 value 116.414906
iter  30 value 110.779434
iter  40 value 108.410988
iter  50 value 107.326795
iter  60 value 107.048444
iter  60 value 107.048444
iter  60 value 107.048444
final  value 107.048444 
converged
Fitting Repeat 3 

# weights:  507
initial  value 126.520016 
iter  10 value 117.899921
iter  20 value 117.891959
iter  30 value 117.093804
iter  40 value 108.580593
iter  50 value 108.544248
iter  60 value 108.530434
iter  70 value 107.205717
iter  80 value 107.183551
iter  90 value 107.183467
iter 100 value 107.183057
final  value 107.183057 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 127.587875 
iter  10 value 117.894362
iter  20 value 113.825626
iter  30 value 107.971038
final  value 107.971031 
converged
Fitting Repeat 5 

# weights:  507
initial  value 129.953766 
iter  10 value 117.766425
iter  20 value 117.759226
iter  30 value 107.033523
final  value 107.004921 
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 -- Thu Mar 20 08:14:47 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 
 53.987   1.462 167.191