Diabetes Prediction using Machine Learning

Statistical models to predict incident are often based on variables, Here, I pursued some main goal. Such as, I train an artificial neural network with dataset and predict the diabetes(Target value of 0/1).

Details about the dataset:

The datasets consists of several medical predictor variables and one target variable, Outcome.

1. Preg = Number of times pregnant.

2. GLU = Plasma glucose concentration a 2 hours in an oral glucose tolerance test

3. BP = Diastolic blood pressure (mm Hg)

4. ST = Triceps skin fold thickness (mm)

5. INS = 2-Hour serum insulin (mu U/ml)

6. BMI = Body mass index (weight in kg/(height in m)^2)

7. DPF = Diabetes pedigree function

8. Age = Age in years

9. Outcome = 1 - YES (meaning the patient might Diabetes); 0 - NO (the patient doesn't Diabetes).

Number of Observation Units: 768.

Variable Number: 9