Diabetes test results collected by the the US National Institute of Diabetes
and Digestive and Kidney Diseases from a population of women who were at
least 21 years old, of Pima Indian heritage, and living near Phoenix,
Arizona. The data were taken directly from
PimaIndiansDiabetes2.
data(pima)
A data frame with 768 observations on 9 variables.
pregnant Number of times pregnant.
glucose Plasma glucose concentration (glucose tolerance test).
pressure Diastolic blood pressure (mm Hg).
triceps Triceps skin fold thickness (mm).
insulin 2-Hour serum insulin (mu U/ml).
mass Body mass index (weight in kg/(height in m)^2).
pedigree Diabetes pedigree function.
age Age (years).
diabetes Factor indicating the diabetes test result (neg/pos).
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
Brian D. Ripley (1996), Pattern Recognition and Neural Networks, Cambridge University Press, Cambridge.
Grace Whaba, Chong Gu, Yuedong Wang, and Richard Chappell (1995), Soft Classification a.k.a. Risk Estimation via Penalized Log Likelihood and Smoothing Spline Analysis of Variance, in D. H. Wolpert (1995), The Mathematics of Generalization, 331-359, Addison-Wesley, Reading, MA.
Friedrich Leisch & Evgenia Dimitriadou (2010). mlbench: Machine Learning Benchmark Problems. R package version 2.1-1.
head(pima)#> pregnant glucose pressure triceps insulin mass pedigree age diabetes #> 1 6 148 72 35 NA 33.6 0.627 50 pos #> 2 1 85 66 29 NA 26.6 0.351 31 neg #> 3 8 183 64 NA NA 23.3 0.672 32 pos #> 4 1 89 66 23 94 28.1 0.167 21 neg #> 5 0 137 40 35 168 43.1 2.288 33 pos #> 6 5 116 74 NA NA 25.6 0.201 30 neg