RReliefF filter

Source: R/relief.R

The algorithm finds weights of continuous and discrete attributes basing on a distance between instances.

relief(formula, data, x, y, neighboursCount = 5, sampleSize = 10)

Arguments

formula

An object of class formula with model description.
data

A data.frame accompanying formula.
x

A data.frame with attributes.
y

A vector with response variable.
neighboursCount

number of neighbours to find for every sampled instance
sampleSize

number of instances to sample

Value

a data.frame containing the worth of attributes in the first column and their names as row names

Details

The function and it's manual page taken directly from FSelector: Piotr Romanski and Lars Kotthoff (2018). FSelector: Selecting Attributes. R package version 0.31. https://CRAN.R-project.org/package=FSelector

References

Igor Kononenko: Estimating Attributes: Analysis and Extensions of RELIEF. In: European Conference on Machine Learning, 171-182, 1994.

Marko Robnik-Sikonja, Igor Kononenko: An adaptation of Relief for attribute estimation in regression. In: Fourteenth International Conference on Machine Learning, 296-304, 1997.

Examples


data(iris)

weights <- relief(Species~., iris, neighboursCount = 5, sampleSize = 20)
print(weights)

#>     attributes importance
#> 1 Sepal.Length  0.1413889
#> 2  Sepal.Width  0.1095833
#> 3 Petal.Length  0.3222034
#> 4  Petal.Width  0.3585417
subset <- cut_attrs(weights, 2)
f <- to_formula(subset, "Species")
print(f)

#> Species ~ Petal.Width + Petal.Length
#> <environment: 0x55f4bd9c3e98>