Using a deep neural network I will be prediction if a patient has diabetes or not, by training the model on a data set of more than 700 patient test result which is:
- Glucose
- Pregnant or not
- Blood Pressure
- Skin Thickness
- Insulin
- Pedigree function
- BMI
- Age
- Class (have diabetes or healthy)
And to find the optimal Parameters for the neural network, I used a grid search, to test the parameters and compare performance of each one, resulting in the parameters that gives the best performance and results.