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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(xplainfi)
> 
> test_check("xplainfi")
Starting 2 test processes.
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalARFSampler.R:            y important1 important2 important3 important4 important5

> test-ConditionalARFSampler.R:        <num>      <num>      <num>      <num>      <num>      <num>

> test-ConditionalARFSampler.R: 1: 12.360424  0.6318475 0.53965930 0.97666482  0.2494553  0.1962508

> test-ConditionalARFSampler.R: 2:  9.029335  0.7740787 0.47494128 0.05312937  0.2466694  0.3663601

> test-ConditionalARFSampler.R: 3: 22.201924  0.4160527 0.90536299 0.16667573  0.9798015  0.5450653

> test-ConditionalARFSampler.R: 4: 12.764762  0.4207339 0.01793136 0.78129459  0.7643386  0.6097585

> test-ConditionalARFSampler.R: 5: 21.457615  0.6987406 0.78360190 0.29408004  0.9018209  0.4450518

> test-ConditionalARFSampler.R:    unimportant1 unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalARFSampler.R:           <num>        <num>        <num>        <num>        <num>

> test-ConditionalARFSampler.R: 1:   0.07991925   0.81178912    0.3569533    0.5974755    0.9374995

> test-ConditionalARFSampler.R: 2:   0.68182303   0.02523669    0.8273626    0.7457801    0.2321395

> test-ConditionalARFSampler.R: 3:   0.98019666   0.30999667    0.2790751    0.5025631    0.6525242

> test-ConditionalARFSampler.R: 4:   0.68402567   0.98636217    0.8837717    0.6922948    0.7251398

> test-ConditionalARFSampler.R: 5:   0.57353838   0.51998499    0.2461352    0.1541728    0.3630627

> test-ConditionalARFSampler.R:            y important1 important2 important3 important4 important5

> test-ConditionalARFSampler.R:        <num>      <num>      <num>      <num>      <num>      <num>

> test-ConditionalARFSampler.R: 1: 12.360424  0.4952812 0.53965930 0.97666482  0.2494553  0.1962508

> test-ConditionalARFSampler.R: 2:  9.029335  0.4952812 0.47494128 0.05312937  0.2466694  0.3663601

> test-ConditionalARFSampler.R: 3: 22.201924  0.4952812 0.90536299 0.16667573  0.9798015  0.5450653

> test-ConditionalARFSampler.R: 4: 12.764762  0.4952812 0.01793136 0.78129459  0.7643386  0.6097585

> test-ConditionalARFSampler.R: 5: 21.457615  0.4952812 0.78360190 0.29408004  0.9018209  0.4450518

> test-ConditionalARFSampler.R:    unimportant1 unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalARFSampler.R:           <num>        <num>        <num>        <num>        <num>

> test-ConditionalARFSampler.R: 1:   0.07991925   0.81178912    0.3569533    0.5974755    0.9374995

> test-ConditionalARFSampler.R: 2:   0.68182303   0.02523669    0.8273626    0.7457801    0.2321395

> test-ConditionalARFSampler.R: 3:   0.98019666   0.30999667    0.2790751    0.5025631    0.6525242

> test-ConditionalARFSampler.R: 4:   0.68402567   0.98636217    0.8837717    0.6922948    0.7251398

> test-ConditionalARFSampler.R: 5:   0.57353838   0.51998499    0.2461352    0.1541728    0.3630627

> test-ConditionalCtreeSampler.R:           y important1 important2 important3 important4 important5 unimportant1

> test-ConditionalCtreeSampler.R:       <num>      <num>      <num>      <num>      <num>      <num>        <num>

> test-ConditionalCtreeSampler.R: 1: 14.75171 0.42462025  0.5161836  0.6699828  0.1623389  0.9009218   0.02600297

> test-ConditionalCtreeSampler.R: 2: 16.63466 0.03353548  0.9456297  0.9102697  0.8033571  0.2859391   0.74350463

> test-ConditionalCtreeSampler.R: 3: 20.97085 0.83324229  0.6852841  0.2960628  0.8596368  0.3602813   0.93265780

> test-ConditionalCtreeSampler.R: 4: 18.27179 0.13004350  0.4498655  0.9100222  0.5116253  0.1275712   0.26638245

> test-ConditionalCtreeSampler.R: 5: 15.73680 0.43792836  0.7159179  0.3156948  0.3971076  0.8861392   0.05974140

> test-ConditionalCtreeSampler.R:    unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalCtreeSampler.R:           <num>        <num>        <num>        <num>

> test-ConditionalCtreeSampler.R: 1:   0.76718351   0.11418633   0.33438772  0.654516700

> test-ConditionalCtreeSampler.R: 2:   0.89932246   0.72107140   0.07907739  0.303923850

> test-ConditionalCtreeSampler.R: 3:   0.91638024   0.46316234   0.88003622  0.613000875

> test-ConditionalCtreeSampler.R: 4:   0.16002565   0.06834102   0.10793657  0.008402525

> test-ConditionalCtreeSampler.R: 5:   0.04584915   0.51387290   0.62110077  0.550344525

> test-ConditionalCtreeSampler.R:           y important1 important2 important3 important4 important5 unimportant1

> test-ConditionalCtreeSampler.R:       <num>      <num>      <num>      <num>      <num>      <num>        <num>

> test-ConditionalCtreeSampler.R: 1: 14.75171  0.6490538  0.5161836  0.6699828  0.1623389  0.9009218   0.02600297

> test-ConditionalCtreeSampler.R: 2: 16.63466  0.4246203  0.9456297  0.9102697  0.8033571  0.2859391   0.74350463

> test-ConditionalCtreeSampler.R: 3: 20.97085  0.4246203  0.6852841  0.2960628  0.8596368  0.3602813   0.93265780

> test-ConditionalCtreeSampler.R: 4: 18.27179  0.8488596  0.4498655  0.9100222  0.5116253  0.1275712   0.26638245

> test-ConditionalCtreeSampler.R: 5: 15.73680  0.6490538  0.7159179  0.3156948  0.3971076  0.8861392   0.05974140

> test-ConditionalCtreeSampler.R:    unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalCtreeSampler.R:           <num>        <num>        <num>        <num>

> test-ConditionalCtreeSampler.R: 1:   0.76718351   0.11418633   0.33438772  0.654516700

> test-ConditionalCtreeSampler.R: 2:   0.89932246   0.72107140   0.07907739  0.303923850

> test-ConditionalCtreeSampler.R: 3:   0.91638024   0.46316234   0.88003622  0.613000875

> test-ConditionalCtreeSampler.R: 4:   0.16002565   0.06834102   0.10793657  0.008402525

> test-ConditionalCtreeSampler.R: 5:   0.04584915   0.51387290   0.62110077  0.550344525

> test-ConditionalGaussianSampler.R:            y important1 important2   important3 important4 important5

> test-ConditionalGaussianSampler.R:        <num>      <num>      <num>        <num>      <num>      <num>

> test-ConditionalGaussianSampler.R: 1: 11.380527  0.4801599 0.41328172 0.0007721665 0.05083982  0.5911155

> test-ConditionalGaussianSampler.R: 2:  6.832956  0.6394477 0.05299146 0.1332930378 0.03663052  0.7296247

> test-ConditionalGaussianSampler.R: 3: 11.598389  0.5249630 0.32700936 0.6849793082 0.01662094  0.7795152

> test-ConditionalGaussianSampler.R: 4: 10.743353  0.4120790 0.43921198 0.7050214636 0.49685507  0.4734514

> test-ConditionalGaussianSampler.R: 5: 21.285187  0.4096248 0.92875133 0.0492852191 0.44297713  0.7293147

> test-ConditionalGaussianSampler.R:    unimportant1 unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalGaussianSampler.R:           <num>        <num>        <num>        <num>        <num>

> test-ConditionalGaussianSampler.R: 1:    0.9679870    0.9352106    0.4026311    0.6044988   0.14016935

> test-ConditionalGaussianSampler.R: 2:    0.6525152    0.6900707    0.8908204    0.2833974   0.75663574

> test-ConditionalGaussianSampler.R: 3:    0.8369655    0.3871336    0.2937221    0.6353182   0.71164339

> test-ConditionalGaussianSampler.R: 4:    0.2062017    0.2906289    0.9703932    0.4581466   0.53543314

> test-ConditionalGaussianSampler.R: 5:    0.2635425    0.3179416    0.7590263    0.3908531   0.02918322

> test-ConditionalGaussianSampler.R:            y   important1 important2   important3 important4 important5

> test-ConditionalGaussianSampler.R:        <num>        <num>      <num>        <num>      <num>      <num>

> test-ConditionalGaussianSampler.R: 1: 11.380527  0.703816869 0.41328172 0.0007721665 0.05083982  0.5911155

> test-ConditionalGaussianSampler.R: 2:  6.832956  0.331739346 0.05299146 0.1332930378 0.03663052  0.7296247

> test-ConditionalGaussianSampler.R: 3: 11.598389 -0.008831869 0.32700936 0.6849793082 0.01662094  0.7795152

> test-ConditionalGaussianSampler.R: 4: 10.743353  0.673136081 0.43921198 0.7050214636 0.49685507  0.4734514

> test-ConditionalGaussianSampler.R: 5: 21.285187  0.126655202 0.92875133 0.0492852191 0.44297713  0.7293147

> test-ConditionalGaussianSampler.R:    unimportant1 unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalGaussianSampler.R:           <num>        <num>        <num>        <num>        <num>

> test-ConditionalGaussianSampler.R: 1:    0.9679870    0.9352106    0.4026311    0.6044988   0.14016935

> test-ConditionalGaussianSampler.R: 2:    0.6525152    0.6900707    0.8908204    0.2833974   0.75663574

> test-ConditionalGaussianSampler.R: 3:    0.8369655    0.3871336    0.2937221    0.6353182   0.71164339

> test-ConditionalGaussianSampler.R: 4:    0.2062017    0.2906289    0.9703932    0.4581466   0.53543314

> test-ConditionalGaussianSampler.R: 5:    0.2635425    0.3179416    0.7590263    0.3908531   0.02918322

> test-ConditionalKNNSampler.R:            y important1 important2 important3 important4 important5

> test-ConditionalKNNSampler.R:        <num>      <num>      <num>      <num>      <num>      <num>

> test-ConditionalKNNSampler.R: 1: 13.378324 0.85748843  0.3543568  0.1587815 0.85212835  0.2184828

> test-ConditionalKNNSampler.R: 2:  4.582305 0.82443825  0.2259340  0.6470012 0.07425374  0.3101204

> test-ConditionalKNNSampler.R: 3: 16.922526 0.94882064  0.6556620  0.2672639 0.21768591  0.7129530

> test-ConditionalKNNSampler.R: 4: 17.755459 0.46778124  0.4005911  0.3763672 0.95444278  0.7627147

> test-ConditionalKNNSampler.R: 5: 13.341932 0.01871459  0.8498522  0.5964491 0.38863427  0.9923021

> test-ConditionalKNNSampler.R:    unimportant1 unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalKNNSampler.R:           <num>        <num>        <num>        <num>        <num>

> test-ConditionalKNNSampler.R: 1:   0.08147605   0.62340989   0.31952365    0.1492587   0.56743742

> test-ConditionalKNNSampler.R: 2:   0.06268257   0.65221355   0.74997125    0.6412197   0.28550121

> test-ConditionalKNNSampler.R: 3:   0.23007563   0.07703555   0.06355233    0.5478692   0.59476673

> test-ConditionalKNNSampler.R: 4:   0.37455607   0.61923749   0.97585354    0.7118122   0.08664694

> test-ConditionalKNNSampler.R: 5:   0.58170253   0.92496752   0.63630060    0.8775815   0.08584999

> test-ConditionalKNNSampler.R:            y important1 important2 important3 important4 important5

> test-ConditionalKNNSampler.R:        <num>      <num>      <num>      <num>      <num>      <num>

> test-ConditionalKNNSampler.R: 1: 13.378324 0.46778124  0.3543568  0.1587815 0.85212835  0.2184828

> test-ConditionalKNNSampler.R: 2:  4.582305 0.46778124  0.2259340  0.6470012 0.07425374  0.3101204

> test-ConditionalKNNSampler.R: 3: 16.922526 0.67371971  0.6556620  0.2672639 0.21768591  0.7129530

> test-ConditionalKNNSampler.R: 4: 17.755459 0.04358335  0.4005911  0.3763672 0.95444278  0.7627147

> test-ConditionalKNNSampler.R: 5: 13.341932 0.04358335  0.8498522  0.5964491 0.38863427  0.9923021

> test-ConditionalKNNSampler.R:    unimportant1 unimportant2 unimportant3 unimportant4 unimportant5

> test-ConditionalKNNSampler.R:           <num>        <num>        <num>        <num>        <num>

> test-ConditionalKNNSampler.R: 1:   0.08147605   0.62340989   0.31952365    0.1492587   0.56743742

> test-ConditionalKNNSampler.R: 2:   0.06268257   0.65221355   0.74997125    0.6412197   0.28550121

> test-ConditionalKNNSampler.R: 3:   0.23007563   0.07703555   0.06355233    0.5478692   0.59476673

> test-ConditionalKNNSampler.R: 4:   0.37455607   0.61923749   0.97585354    0.7118122   0.08664694

> test-ConditionalKNNSampler.R: 5:   0.58170253   0.92496752   0.63630060    0.8775815   0.08584999

> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 333)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-CFI.R: i No `sampler` provided, using <ConditionalARFSampler> with default settings.
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 100)
> test-CFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 100)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("classif.ce")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("classif.ce")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-MarginalSAGE.R: i No <Measure> provided, using `measure = msr("classif.ce")`
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 20)
> test-MarginalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-MarginalSAGE.R: v SAGE converged after 5 permutations
> test-MarginalSAGE.R: i Maximum relative SE: 0.0287 (threshold: 100)
> test-MarginalSAGE.R: i Saved 5 permutations
> test-MarginalSAGE.R: v SAGE converged after 5 permutations
> test-MarginalSAGE.R: i Maximum relative SE: 0.0341 (threshold: 0.1)
> test-MarginalSAGE.R: i Saved 5 permutations
> test-PFI.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-PFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-PFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-PFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-PFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-PFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 333)
> test-PFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 333)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-RFI.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-RFI.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-WVIM.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 100)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 100)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 100)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 100)
> test-WVIM.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 24)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 67)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 100)
> test-WVIM.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 333)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("classif.ce")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("classif.ce")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 133)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("classif.ce")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("classif.ce")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 13)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 13)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Measure> provided, using `measure = msr("regr.mse")`
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 33)
> test-ConditionalSAGE.R: i No <ConditionalSampler> provided, using <ConditionalARFSampler> with default settings.
> test-ConditionalSAGE.R: i No <Resampling> provided, using `resampling = rsmp("holdout", ratio = 2/3)` (test set size: 20)
[ FAIL 0 | WARN 0 | SKIP 2 | PASS 1602 ]

══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• as.numeric(R.version$minor) >= 6 is TRUE (1): 'test-bibentries.R:3:2'
• {seqknockoff} is not installed (1): 'test-CFI.R:235:2'

[ FAIL 0 | WARN 0 | SKIP 2 | PASS 1602 ]
> 
> proc.time()
   user  system elapsed 
   3.31    0.32 1108.14