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

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.