rmcfs (version 1.1.1)

print.mcfs: Prints mcfs result

Description

Prints basic information about the MCFS-ID result: top features, cutoff values, confusion matrix obtained for $s \cdot t$ trees and classification rules obtained by Ripper (jrip) algorithm.

Usage

"print"(x, ...)

Arguments

x

'mcfs' object - result of the MCFS-ID experiment returned by mcfs function.

...

additional printing parameters.

Examples

  ### Set up java parameter and load rmcfs package
  options(java.parameters = "-Xmx4g")
  library(rmcfs)
  
  # create input data
  adata <- artificial.data(rnd.features = 10)
  showme(adata)
  
  # Parametrize and run MCFS-ID procedure
  result <- mcfs(class~., adata, projections = 100, projectionSize = 4, 
                 cutoffPermutations = 3, finalCV = FALSE, finalRuleset = TRUE, 
                 threadsNumber = 2)

  # Print basic information about mcfs result.
  print(result)