bestclassifier: Identify Best Binary Classification Model

#' @title Credit Card Defaults
#' @description
#' A dataset containing information on default payments, demographic infomration,
#' and payment history for Taiwanese credit card clients from April 2005 to 
#' Septembrer 2005
#' @details
#' This dataset was retrieved by UCI's Machine Learning Repository and
#' then slightly modified to improve the predictiveness of the variables.
#' @docType data
#' @keywords datasets
#' @name CCD
#' @usage CCD
#' @format A dataset with 29728 rows and 25 variables. The variables are
#' as follows:
#' \describe{
#'   \item{default.payment.next.month}{Factor indicating default}
#'   \item{LIMIT}{Credit card limit}
#'   \item{SEX}{Factor indicating gender}
#'   \item{Education}{Factor depicting highest level of education}
#'   \item{Marriage}{Factor indicating marital status}
#'   \item{AGE}{Age}
#'   \item{REPAID.SEPT}{Factor describing September payment status}
#'   \item{REPAID.AUG}{Factor describing August payment status}
#'   \item{REPAID.JULY}{Factor describing July payment status}
#'   \item{REPAID.JUNE}{Factor describing June payment status}
#'   \item{REPAID.MAY}{Factor describing May payment status}
#'   \item{REPAID.APR}{Factor describing April payment status}
#'   \item{BILL_SEPT}{Total credit card bill in September}
#'   \item{BILL_AUG}{Total credit card bill in August}
#'   \item{BILL_JULY}{Total credit card bill in July}
#'   \item{BILL_JUNE}{Total credit card bill in June}
#'   \item{BILL_MAY}{Total credit card bill in May}
#'   \item{BILL_APR}{Total credit card bill in April}
#'   \item{PAYMENT_SEPT}{Total paid in September}
#'   \item{PAYMENT_AUG}{Total paid in August}
#'   \item{PAYMENT_JULY}{Total paid in July}
#'   \item{PAYMENT_JUNE}{Total paid in June}
#'   \item{PAYMENT_MAY}{Total paid in May}
#'   \item{PAYMENT_APR}{Total paid in April}
#'   }
#'   @source Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.   
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