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Merge Boruta Results

Source: R/machine_learning.R
merge_boruta_results.Rd

Merge results from multiple Boruta runs to identify robust feature selections.

Usage

merge_boruta_results(
  importance_values,
  decisions,
  file_name,
  iterations,
  threshold,
  return = TRUE
)

Arguments

importance_values

A list of data frames with feature importance values from each iteration.

decisions

A list of character vectors with the decision labels from each iteration.

file_name

A string used for naming the output plot file.

iterations

Integer. The number of Boruta iterations performed.

threshold

A numeric value between 0 and 1. Features labeled as 'Confirmed' or 'Tentative' in more than threshold * iterations will be retained.

return

Logical. Whether to save plots in the "Results/" directory.

Value

A list containing:

  • A vector of confirmed features.

  • A vector of tentative features.

  • A data frame with median importance values and final decisions.