R/data.R

In AdaSampling: Adaptive Sampling for Positive Unlabeled and Label Noise Learning

#' Wisconsin Breast Cancer Database (1991)
#'
#' A cleaned version of the original Wisconsin Breast Cancer
#' dataset containing histological information about 683
#' breast cancer samples collected from patients at the
#' University of Wisconsin Hospitals, Madison by
#' Dr. William H. Wolberg between January
#' 1989 and November 1991.
#'
#' @format A data frame with 683 rows and 10 variables:
#' \describe{
#'   \item{clt}{Clump thickness, 1 - 10}
#'   \item{ucs}{Uniformity of cell size, 1 - 10}
#'   \item{uch}{Uniformity of cell shape, 1 - 10}
#'   \item{mad}{Marginal adhesion, 1 - 10}
#'   \item{ecs}{Single epithelial cell size, 1 - 10}
#'   \item{nuc}{Bare nuclei, 1 - 10}
#'   \item{chr}{Bland chromatin, 1 - 10}
#'   \item{ncl}{Normal nucleoli, 1 - 10}
#'   \item{mit}{Mitoses, 1 - 10}
#'   \item{cla}{Class, benign or malignant}
#'
#' }
#' @source
#' \url{https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data}
#'
#'@references O. L. Mangasarian and W. H. Wolberg: "Cancer diagnosis via linear
#' programming", \emph{SIAM News}, Volume 23, Number 5, September 1990, pp 1 & 18.
#'


"brca"