R/data.R

In samrabi1/ada.classification: Classification Methods: K-means and Random Forests

#' Pima Indians Diabetes Database
#'
#' A dataset extracted from the National Institute of Diabetes and Digestive
#' and Kidney Diseases. The dataset contains a number of medically
#' relevant variables. It was created specifically (via extraction from a larger database)
#' to allow users to experiment with methods to predict the occurence of diabetes
#' in the patients. More information can be found in the URL provided below.
#'
#' @format A data frame with 768 rows and 9 columns:
#' \describe{
#' \item{Pregnancies}{the number of times the patient has been pregnant}
#' \item{Glucose}{the plasma glucose concentration measured for the patient after two hours in an oral glucose tolerance test (milligram/deciliter)}
#' \item{BloodPressure}{the diastolic blood pressure of the patient (mm Hg)}
#' \item{SkinThickness}{tricep skin fold thickness measured for the patient (mm)}
#' \item{Insulin}{2-Hour serum insulin level measured for the patient (mu U/ml)}
#' \item{BMI}{Body Mass Index of patient (weight in kg/(height in m)^2)}
#' \item{DiabetesPedigreeFunction}{score assigned based on family history of diabetes}
#' \item{Age}{age of the patient (years)}
#' \item{Outcome}{binary indicating diabetes diagnosis for patient: 1 for yes and 0 for no}
#' }
#'
#' @source \url{https://www.kaggle.com/uciml/pima-indians-diabetes-database?select=diabetes.csv}
"diabetes"