R/caesarian.R

In Rkabacoff/qacReg: Multiple Regression and Logistic Regression

#' @title Caesarian Classification
#'
#' @description
#' Predicting caesarian births from medical and demographic data.
#'
#' @format A data frame with 80 rows and 6 variables:
#' \describe{
#'   \item{\code{age}}{integer; Age in years.}
#'   \item{\code{delivery.num}}{integer; Delivery number.}
#'   \item{\code{delivery.time}}{factor; \code{timely, premature, latecomer}.}
#'   \item{\code{bp}}{factor; \code{low, normal, high}.}
#'   \item{\code{heart.problem}}{factor; \code{apt, inept}.}
#'   \item{\code{caesarian}}{factor; \code{no, yes}.}
#' }
#'
#' @source
#' \href{https://archive.ics.uci.edu/ml/datasets/Caesarian+Section+Classification+Dataset}{ICU Machine Learning Repository}.
#'
#' Provided by
#' Muhammad Zain Amin, University of Engineering and Technology, Lahore, Pakistan
#' Amir Ali, University of Engineering and Technology, Lahore, Pakistan
#'
#' @references
#' M.Zain Amin, Amir Ali.'Performance Evaluation of Supervised
#' Machine Learning Classifiers for Predicting Healthcare Operational Decisions'.
#' Machine Learning for Operational Decision Making,
#' Wavy Artificial Intelligence Research Foundation, Pakistan, 2018
"caesarian"