How to find beta values in Logistic Regression model with sklearn

Question

Based on the Logistic Regression function:

I'm trying to extract the following values from my model in scikit-learn.

and

Where is the intercept and is the regression coefficient. (as per the wikipedia)

Now, I think I can get by doing model.intercept_ but I've been struggling to get . Any ideas?

Answer 1

You can access the coefficient of the features using model.coef_.

It gives a list of values that corresponds to the values beta1, beta2 and so on. The size of the list depends on the amount of explanatory variables your logistic regression uses.