| BUPA {kerndwd} | R Documentation |
BUPA's liver disorders data: 345 male individuals' blood test result and liver disorder status.
data(BUPA)
This data set consists of 345 observations and 6 predictors representing the blood test result liver disorder status of 345 patients. The three predictors are mean corpuscular volume (MCV), alkaline phosphotase (ALKPHOS), alamine aminotransferase (SGPT), aspartate aminotransferase (SGOT), gamma-glutamyl transpeptidase (GAMMAGT), and the number of alcoholic beverage drinks per day (DRINKS).
A list with the following elements:
X |
A numerical matrix for predictors: 345 rows and 6 columns; each row corresponds to a patient. |
y |
A numeric vector of length 305 representing the liver disorder status. |
The data set is available for download from UCI machine learning repository.
https://archive.ics.uci.edu/ml/datasets/Liver+Disorders
# load data set data(BUPA) # the number of samples predictors dim(BUPA$X) # the number of samples for each class sum(BUPA$y == -1) sum(BUPA$y == 1)