A population of women who were at least 21 years old, of Pima Indian heritage and living near Phoenix, Arizona, was tested for diabetes according to World Health Organization criteria. The data were collected by the US National Institute of Diabetes and Digestive and Kidney Diseases.
A data frame with 768 observations on the following 9 variables.
number of pregnancies
plasma glucose concentration in an oral glucose tolerance test
diastolic blood pressure (mm Hg)
tricepts skin fold thickness (mm)
2-hour serum insulin (mu U/ml)
mody mass index (weight in kg/(height in m)\^2)
diabetes pedigree function
age in years
1 for diabetic
Smith, J. W., Everhart, J. E., Dickson, W. C., Knowler, W. C. and Johannes, R. S. (1988) Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications in Medical Care (Washington, 1988), ed. R. A. Greenes, pp. 261-265. Los Alamitos, CA: IEEE Computer Society Press.
Ripley, B.D. (1996) Pattern Recognition and Neural Networks. Cambridge: Cambridge University Press.
UCI Machine Learning Repository
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