The algorithm finds attribute subset using consistency measure for continous and discrete data.
consistency(formula, data)
a symbolic description of a model
data to process
a character vector containing chosen attributes
The alorithm makes use of best.first.search for searching the attribute subset space.
best.first.search
# NOT RUN { library(mlbench) data(HouseVotes84) subset <- consistency(Class~., HouseVotes84) f <- as.simple.formula(subset, "Class") print(f) # }
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