#' Breast cancer data
#'
#' Breast cancer data
#'
#' @source
#' This breast cancer domain was obtained from the University Medical
#' Centre, Institute of Oncology, Ljubljana, Yugoslavia.
#' Thanks go to M. Zwitter and M. Soklic for providing the data.
#' Downloaded from \href{https://www.openml.org/d/13}{OpenML}.
#'
#' @note
#' \code{recurrence} is the response or outcome variable.
#'
#' @format A data frame with 286 rows and 10 variables:
#' \describe{
#' \item{\code{age}}{factor. 20-29, 30-39, 40-49, 50-59, 60-69, 70-79.}
#' \item{\code{menopause}}{factor. lt40, ge40, premeno.}
#' \item{\code{tumor.size}}{factor. 0-4, 5-9, 10-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54.}
#' \item{\code{inv.nodes}}{factor. 0-2, 3-5, 6-8, 9-11, 12-14, 15-17, 18+.}
#' \item{\code{node.caps}}{factor. yes, no.}
#' \item{\code{deg.malig}}{factor. 1, 2, 3. Higher numbers indicate greater malignancy.}
#' \item{\code{breast}}{factor. left, right.}
#' \item{\code{breast.quad}}{factor. left-up, left-low, right-up, right-low, central.}
#' \item{\code{irradiate}}{factor. yes, no.}
#' \item{\code{recurrence}}{factor. yes, no.}
#' }
#' @examples
#' summary(breast)
"breast"
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