The Pima Indians Diabetes Dataset involves predicting the onset of diabetes within 5 years in Pima Indians given medical details. It is a binary (2-class) classification problem. The number of observations for each class is not balanced. There are 768 observations with 8 input variables and 1 output variable. The variable names are as follows: Number of times pregnant. Plasma glucose concentration a 2 hours in an oral glucose tolerance test. Diastolic blood pressure (mm Hg). Triceps skinfold thickness (mm). 2-Hour serum insulin (mu U/ml). Body mass index (weight in kg/(height in m)^2). Diabetes pedigree function. Age (years). Class variable (0 or 1). - View it on GitHub