Diabetes(scikit-learn)

OpenML dataset with id 43123

Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani

Full work available at URL: https://api.openml.org/data/v1/download/22101600/Diabetes(scikit-learn).arff

Upload date: 9 December 2021

Dataset Characteristics

Number of classes: 0
Number of features: 11 (numeric: 11, symbolic: 0 and in total binary: 0 )
Number of instances: 442
Number of instances with missing values: 0
Number of missing values: 0

Description

.. _diabetes_dataset:

Diabetes dataset

Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442 diabetes patients, as well as the response of interest, a quantitative measure of disease progression one year after baseline.

Data Set Characteristics:

 :Number of Instances: 442

 :Number of Attributes: First 10 columns are numeric predictive values

 :Target: Column 11 is a quantitative measure of disease progression one year after baseline

 :Attribute Information:
     - Age
     - Sex
     - Body mass index
     - Average blood pressure
     - S1
     - S2
     - S3
     - S4
     - S5
     - S6

Note: Each of these 10 feature variables have been mean centered and scaled by the standard deviation times `n_samples` (i.e. the sum of squares of each column totals 1).

Source URL: https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html

For more information see: Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani (2004) "Least Angle Regression," Annals of Statistics (with discussion), 407-499. (https://web.stanford.edu/~hastie/Papers/LARS/LeastAngle_2002.pdf)

This page was built for dataset: Diabetes(scikit-learn)