Currently I have a dataset and I am trying to predict whether someone will default on their bank loan.
The dataset is quite tricky. It covers those who have defaulted in the past, but is also tracking those with current loans. So we don’t know whether they will default in the future.
This means that the target variable (default, not default) has one unique value which is 1. There aren’t any observations that can describe the 0 class.
Assuming I can’t use external datasets, what’s the solution to this problem? How can I best understand those who have defaulted if I don’t have something to compare them to?