if (FALSE) ###dontrunbegin
# create input data
adata <- artificial.data(rnd_features = 10)
showme(adata)
# Parametrize and run MCFS-ID procedure
result <- mcfs(class~., adata, cutoffPermutations = 0, featureFreq = 10,
finalCV = FALSE, finalRuleset = TRUE, threadsNumber = 2)
# Print basic information about mcfs result.
print(result)
###dontrunend
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