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):

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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


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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