Authors: Jacqueline Chong, Junrong Zhu, Macy Chan, Lianna Hovhannisyan
In this mini project, we will work on a classification problem of predicting whether a credit card client will default or not. For this problem, Default of Credit Card Clients Dataset is used. In this data set, there are 30,000 examples and 24 features, and the goal is to estimate whether a person will default (fail to pay) their credit card bills; this column is labeled "default.payment.next.month" in the data. The rest of the columns can be used as features. For additional information about the data set, a associated research paper is available through the UBC library.
The final report can be found in this webpage