cutoff {FSelector} | R Documentation |
The algorithms select a subset from a ranked attributes.
cutoff.k(attrs, k) cutoff.k.percent(attrs, k) cutoff.biggest.diff(attrs)
attrs |
a data.frame containing ranks for attributes in the first column and their names as row names |
k |
a positive integer in case of cutoff.k and a numeric between 0 and 1 in case of cutoff.k.percent |
cutoff.k
chooses k best attributes
cutoff.k.percent
chooses best k * 100% of attributes
cutoff.biggest.diff
chooses a subset of attributes which are significantly better than other.
A character vector containing selected attributes.
Piotr Romanski
data(iris) weights <- information.gain(Species~., iris) print(weights) subset <- cutoff.k(weights, 1) f <- as.simple.formula(subset, "Species") print(f) subset <- cutoff.k.percent(weights, 0.75) f <- as.simple.formula(subset, "Species") print(f) subset <- cutoff.biggest.diff(weights) f <- as.simple.formula(subset, "Species") print(f)