This is my portofolio about diabetes predicition. I used dataset from kaggle (https://www.kaggle.com/uciml/pima-indians-diabetes-database). The datasets consist of several medical predictor (independent) variables and one target (dependent) variable, Outcome.
- Pregnancies: Number of times pregnant
- Glucose: Plasma glucose concentration a 2 hours in an oral glucose tolerance test
- BloodPressure: Diastolic blood pressure (mm Hg)
- SkinThickness: Triceps skin fold thickness (mm)
- Insulin: 2-Hour serum insulin (mu U/ml)
- BMI: Body mass index (weight in kg/(height in m)^2)
- DiabetesPedigreeFunction: Diabetes pedigree function
- Age: Age (years)
- Outcome: Class variable (0 or 1)