The main task of the assignment is to study a model selection procedure that takes into account accuracy and fairness metrics when training the machine learning models. The task is to compare standard machine learning models versus fairness-aware machine learning models with the following model selection criteria: most accurate, most fair, and most accurate & fair.
There are difference between the report and the results of running this code as there are some changes on the current code.