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I have built a logistic regression model which takes a dataframe of dummy values as an input and produces binary classification (0 for accept, 1 for default). I have already split all variables into ranges and calculated logistic regression coefficients for each of these ranges.

Here is the sample of what my input looks like:

(pictures are taken from this article) enter image description here

And coefficients for these inputs (which are taken from the coefficients of logistic regression model):

enter image description here

I want to convert these values into scores, but I am not sure how to accomplish this. I saw some texts and questions here that mention PDO and linear scaling. But I cant figure out how to actually produce score values.

Any help would be appreciated

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You need to take some course in logistic regression and not only follow tutorials as the one you linked. Several points:

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