This dataset aims to predict whether a patient will have diabetes in the subsequent 5 years, based on several variables. These said variables are as follow:
| Variable | Description |
|---|---|
| Outcome | Diabetes = yes (1) or no (0) |
| Pregnancies | Number of times pregnant |
| Glucose | Plasma glucose concentration in 2 hours in an oral glucose tolerance test |
| BloodPressure | Diastolic blood pressure (mmHg) |
| SkinThickness | Triceps skin fold thickness (mm) |
| BMI | Body mass index |
| DiabetesPedigreeFunction | A function that scores the likelihood of diabetes based on family history |
| Age | Age in years |
There is a total of 768 samples for this dataset, which are taken from female Pima Indians.
After trial and error, the final model was 91% accurate.