Is the Model Fair?

Now, we move to the exciting part. There is a model, and we want to know if it is fair. Before we learn how to do this systematically, we will perform some experiments:

• Examine regression coefficients. Logistic regression provides a straightforward method to understand internal logic. Each feature is associated with a numerical value. The bigger the value, the greater the contribution toward a positive score. Negative values push predictions to a negative class. By examining the values of the coefficients, we can understand which features are the most important and check if any of these are sensitive.

• For each observation where the value of gender_female is set to 1, we will set it to 0 and set the value of gender_male to 1. We will perform the same experiment as we did previously but do that in reverse.

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This is not enough to have a whole picture, but it will give us a better intuition in later parts of the course.