Direct Interface to Information Gain.

.information_gain(
  x,
  y,
  type = c("infogain", "gainratio", "symuncert"),
  equal = FALSE,
  discIntegers = TRUE,
  nbins = 5,
  threads = 1
)

Arguments

x: A data.frame, sparse matrix or formula with attributes.
y: A vector with response variable or data.frame if formula is used.
type: Method name.
equal: A logical. Whether to discretize dependent variable with the equal frequency binning discretization or not.
discIntegers: logical value. If true (default), then integers are treated as numeric vectors and they are discretized. If false integers are treated as factors and they are left as is.
nbins: Number of bins used for discretization. Only used if `equal = TRUE` and the response is numeric.
threads: defunct. Number of threads for parallel backend - now turned off because of safety reasons.

In principle using information_gain is safer.

data.frame with the following columns: