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Logistic Regression for Scorecard Calculation

A statistical scorecard is the result of deploying the logistic regression algorithm to the formed set of data from the credit portfolio.



Logistic regression allows evaluating the logarithm of the positive outcome of a loan case.
Here odds are defined as a ratio of the probability of the positive outcome to the negative.



The odds of the positive outcome are evaluated as a combination of borrower characteristics, while the weight of an individual characteristic is defined using the regressional algorithm:



Finally, after the procedure of autoscaling has been performed , the resulting weights of borrower characteristics become points of the scorecard:






Plug&Score is the most easy-to-use and the fastest to integrate scoring system.



For more complex and versatile needs of larger credit institutions we recommend Scorto™: