Description Usage Arguments Examples
Prints basic information about the MCFS-ID result: top features, cutoff values, confusion matrix obtained for s \cdot t trees and classification rules obtained by Ripper (jrip) algorithm.
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'mcfs' object - result of the MCFS-ID experiment returned by |
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additional printing parameters. |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run: ###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)
## End(Not run)###dontrunend
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