From National Institute of Diabetes and Digestive and Kidney Diseases.
X is a data frame of 768 female patients with 8 attributes.
no.pregnant | number of pregnancies. |
glucose | plasma glucose concentration in an oral glucose tolerance test |
blood.press | diastolic blood pressure (mm Hg) |
triceps.thick | triceps skin fold thickness (mm) |
insulin | 2-Hour serum insulin (mu U/ml) |
BMI | body mass index (weight in kg/(height in m)**2) |
pedigree | diabetes pedigree function |
age | age in years |
y contains the class labels: Yes or No, for diabetic according
to WHO criteria.
The training set diabetes.tr contains a randomly selected set of 600
subjects, and diabetes.te contains the remaining 168 subjects.
diabetes contains all 768 objects.
Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications and Medical Care (pp. 261--265). IEEE Computer Society Press.
attach(diabetes)
summary(X)
summary(y)
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