This project is to build a prediction model to predict diabetes for a person using the classification methods. A comparative study of various classisfication methods have been used and the best model is selected.
This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The dataset consist of several medical predictor (independent) variables and one target (dependent) variable, Outcome.
Independent variables include:
- 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).
- Two-Hour serum insulin (mu U/ml).
- Body mass index (weight in kg/(height in m)^2).
- Diabetes pedigree function.
- Age (years).