R version 4.5.0 RC (2025-04-04 r88113 ucrt) -- "How About a Twenty-Six"
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> library(CrossValidate)
Loading required package: Modeler
Loading required package: ClassDiscovery
Loading required package: cluster
Loading required package: oompaBase
Loading required package: ClassComparison
> 
> suppressWarnings( RNGversion("3.5.0") )
> set.seed(723461)
> dataset <- matrix(rnorm(50*100), nrow=50)
> pseudoclass <- factor(rep(c("A", "B"), each=50))
> model <- modelerCCP # obviously, other models can be used
> cv <- CrossValidate(model, dataset, pseudoclass, 0.5, 10)
[1] 1
[1] 2
[1] 3
[1] 4
[1] 5
[1] 6
[1] 7
[1] 8
[1] 9
[1] 10
> summary(cv)
---------------
Cross-validation was performed using 50 percent of the data for
training. The data set was randomly split into training and testing
sets 10 times.

Training Accuracy:
         sens  spec   acc       ppv       npv
Min.    0.760 0.720 0.760 0.7407407 0.7777778
1st Qu. 0.810 0.810 0.805 0.8122910 0.7952899
Median  0.840 0.840 0.850 0.8330435 0.8430769
Mean    0.852 0.832 0.842 0.8364496 0.8524173
3rd Qu. 0.880 0.880 0.875 0.8787500 0.8800000
Max.    0.960 0.880 0.920 0.8888889 0.9565217

Validation Accuracy:
         sens  spec   acc       ppv       npv
Min.    0.320 0.320 0.400 0.4137931 0.3809524
1st Qu. 0.370 0.400 0.440 0.4444444 0.4381559
Median  0.480 0.500 0.460 0.4472222 0.4654762
Mean    0.456 0.468 0.462 0.4602576 0.4613847
3rd Qu. 0.510 0.520 0.475 0.4765396 0.4724507
Max.    0.600 0.600 0.540 0.5384615 0.5416667
> 
> proc.time()
   user  system elapsed 
   0.62    0.09    0.71