While I was taking the credit risk modeling course and we calculated scorecard from p-values, I noticed one discrepancy in the the given formula and the formula used in the tutorial notebook: # Formula Used in the tutorial notebook coding df_scorecard['Score - Calculation'][0] = ( ( df_scorecard['Coefficients'][0] - min_sum_coef ) / (max_sum_coef - min_sum_coef) ) * (max_score - min_score) + min_score # Formula image given in course df_scorecard['Score - Calculation'][0] = ( ( df_scorecard['Coefficients'][0] - min_score ) / (max_sum_coef - min_sum_coef) ) * (max_score - min_score) + min_score # Scorecard intercept formula image imgur https://imgur.com/a/UtRVzHc # Great Problem: None of the formulae works for different features I was trying different set of features to calculate the scorecard for the same problem using the exact notebook. But I was greeted with wrong range of scorecard. I was expecting range between 300 and 850, but the final output was different. For the easiness of debugging the problem I have shared the notebook in Gcolab. Notebook link: https://colab.research.google.com/drive/1vB6rSviF6RX4p4O0YfH5RDoJJGKCg_yO In this notebook I have different features and different p-values. My aim is to get the scores from p-values. When I followed the method provided in the course I got values out of range. HOW TO GET THE VALUES WITHING THE RANGE? Thanks a lot.

Hi Bhishan, The formula in the lecture image is slightly incorrect, it should be min_sum_coef, and not min_score. You should not be obtaining scores from p-values but from the model coefficients.

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Bhishan Poudel

Last answered:

June 16, 2020

Posted on:

April 08, 2020

Credit Risk Modelling: Creating Scorecard from p-values (Formula Discrepancy)

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Nikolay Georgiev

Posted on:

June 16, 2020

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