dprep (version 3.0.2)

diabetes: The Pima Indian Diabetes dataset

Description

This is the Pima Indian diabetes dataset from the UCI Machine Learning Repository.

Usage

data(diabetes)

Format

A data frame with 768 observations on the following 9 variables.

V1

Number of times pregnant

V2

Plasma glucose concentration (glucose tolerance test)

V3

Diastolic blood pressure (mm Hg)

V4

Triceps skin fold thickness (mm)

V5

2-Hour serum insulin (mu U/ml)

V6

Body mass index (weight in kg/(height in m)\^2)

V7

Diabetes pedigree function

V8

Age (years)

V9

Class variable (1:tested positive for diabetes, 0: tested negative fro diabetes)

Source

The UCI Machine Learning Database Repository at:

• ftp://ftp.ics.uci.edu/pub/machine-learning-databases
• http://www.ics.uci.edu/~mlearn/MLRepository.html

Examples

#---Feature selection using SFS with the LDA classifier--
data(diabetes)
sfs(diabetes,"lda",repet=1)