% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/RpartEVAL.R

\name{RpartEVAL}

\alias{RpartEVAL}

\title{Evaluating the performance of the RPART Decision Tree.}

\usage{

RpartEVAL(data, num.folds = 10, First = "CL1", Second = "CL2", quiet = FALSE)

}

\arguments{

\item{data}{The resulted data from running the function J48DT.}

\item{num.folds}{A numeric value of the number of folds for the cross

validation assessment. Default is 10.}

\item{First}{A string vector showing the first target cluster.  Default is

"CL1"}

\item{Second}{A string vector showing the second target cluster.  Default is

"CL2"}

\item{quiet}{If `TRUE`, suppresses intermediary output}

}

\value{

Performance statistics of the model

}

\description{

This function evaluates the performance of the generated trees

  for error estimation by ten-fold cross validation assessment.

}