diabetes: Pima Indians Diabetes Data Set

In SVMMaj: Implementation of the SVM-Maj Algorithm

Description

From National Institute of Diabetes and Digestive and Kidney Diseases.

Format

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.

Details

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.

Source

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.

References

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.

Examples

attach(diabetes)
summary(X)
summary(y)

SVMMaj documentation built on May 2, 2019, 9:58 a.m.