Test-Diabetes(scikit-learn)

OpenML dataset with id 44187

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Full work available at URL: https://api.openml.org/data/v1/download/22103368/Test-Diabetes(scikit-learn).arff

Upload date: 4 August 2022

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     age in years
     - sex
     - bmi     body mass index
     - bp      average blood pressure
     - s1      tc, total serum cholesterol
     - s2      ldl, low-density lipoproteins
     - s3      hdl, high-density lipoproteins
     - s4      tch, total cholesterol / HDL
     - s5      ltg, possibly log of serum triglycerides level
     - s6      glu, blood sugar level

Note: Each of these 10 feature variables have been mean centered and scaled by the standard deviation times the square root of `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: Test-Diabetes(scikit-learn)