Pima.tr {MASS} | R Documentation |
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. We used the 532 complete records after dropping the (mainly missing) data on serum insulin.
Pima.tr Pima.tr2 Pima.te
These data frames contains the following columns:
npreg
glu
bp
skin
bmi
ped
age
type
Yes
or No
, for diabetic according to WHO criteria
The training set Pima.tr
contains a randomly selected set of 200
subjects, and Pima.te
contains the remaining 322 subjects.
Pima.tr2
contains Pima.tr
plus 100 subjects with
missing values in the explanatory variables.
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.