Hi there,
I am tuning linear regression binary classifier (GLM operator) and I experiment with weighting the minority class with GENERATE WEIGHTS (STRATIFICATION), as the dataset is highly imbalanced:

I see here some difference in performance, with and without weighting the train data, like follows.
Model trained without weighting:

Model trained with weighting:

Put aside the business aspect, which result is more desirable, the question is: how exactly applying weighting does affect the logistic regression curve and coefficients, as I see most weights correlating but some much less.