R/GermanCredit.R

In gmoeser/featureCorMatrix: Measurement Level Independent Feature Correlation Matrix

#' Statlog (German Credit Data) Data Set
#'
#' This dataset classifies people described by a set of attributes as good or bad credit risks.
#' The variables are as follows:
#'
#' \itemize{
#'   \item Credit. Target variable
#'   \item balance_credit_acc. Status of existing checking account
#'   \item duration. Duration in month
#'   \item moral. Credit history
#'   \item verw. Purpose
#'   \item hoehe. Credit amount
#'   \item sparkont. Savings account/bonds
#'   \item beszeit. Present employment since
#'   \item rate. Installment rate in percentage of disposable income
#'   \item famges. Personal status and sex
#'   \item buerge. Other debtors / guarantors
#'   \item wohnzeit. Present residence since
#'   \item verm. Property
#'   \item alter. Age in years
#'   \item weitkred. Other installment plans
#'   \item wohn. Housing
#'   \item bishkred. Number of existing credits at this bank
#'   \item beruf. Job
#'   \item pers. Number of people being liable to provide maintenance for
#'   \item telef. Telephone
#'   \item gastarb. Foreign worker
#' }
#'
#' @docType data
#' @keywords datasets
#' @name GermanCredit
#' @usage data(GermanCredit)
#' @format A data frame with 1000 rows and 21 variables
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