random.forest.importance: RandomForest filter
In Najah-lshanableh/R-data-mining: Selecting Attributes

Description Usage Arguments Details Value Author(s) Examples

The algorithm finds weights of attributes using RandomForest algorithm.

1	random.forest.importance(formula, data, importance.type = 1)

`formula`	a symbolic description of a model
`data`	data to process
`importance.type`	either 1 or 2, specifying the type of importance measure (1=mean decrease in accuracy, 2=mean decrease in node impurity)

This is a wrapper for importance.

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

Piotr Romanski

  library(mlbench)
  data(HouseVotes84)
  
  weights <- random.forest.importance(Class~., HouseVotes84, importance.type = 1)
  print(weights)
  subset <- cutoff.k(weights, 5)
  f <- as.simple.formula(subset, "Class")
  print(f)