From National Institute of Diabetes and Digestive and Kidney Diseases.
X is a data frame of 768 female patients with 8 attributes.
||number of pregnancies.|
||plasma glucose concentration in an oral glucose tolerance test|
||diastolic blood pressure (mm Hg)|
||triceps skin fold thickness (mm)|
||2-Hour serum insulin (mu U/ml)|
||body mass index (weight in kg/(height in m)\^2)|
||diabetes pedigree function|
||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
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.
Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
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.
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