How to calculate pedigree function in diabetes prediction? I am developing a model for diabetes prediction using this dataset using Logistic Regression.

I have completed the model and my input variables are -

Pregnancies, Glucose, blood pressure, BMI, DiabetesPedigreeFunction etc.

The model gives an accuracy of 78% which is quite good for me.

Now when I predict new values which are not in the dataset I have all the required inputs except Pedigree function.

I searched for it and I understand what it is but how can I calculate that?
I had much better results with the decision forest. The diabetes pedigree function requires good diabetes diagnostic history of the persons relatives. Based on this, it might be neglectable.