When multiple people apply for a loan, banks need to select whom to fund. They do so by calculating how likely a person is to repay the loan, rank the people on this likelihood, and then select the most likely among them. Ranking functions may be specified by a vendor (e.g., a bank or a college admissions office) or they may be learned. In this part of the assignment, we will use three designed ranking functions on the ACSIncome dataset to rank the people in the dataset. Then we will see how feature importance changes for different ranking functions and different people and groups. To calculate feature importance, we will use ShaRP, an open-source library we worked with during lab 8