This US Census dataset contains detailed but anonymised information for approximately 300,000 people. The goal of this exercise is to “modelize” / “predict” the information contained in the last column (42nd), i.e., which people save more or less than $50,000 / year, from the information contained in the other columns. The exercise here consists of modelizing a binary variable.