Companies like machines can sometimes fail aka default on their obligations. We measure a company’s failure as it’s the ability to service its debts.
The challenges require you to build a machine learning model to predict this probability of default for a given set of instances. An instance is basically a snapshot of the company at a given point of time
We provide you with 33 anonymous features to help you build this model. The goal will be to beat the benchmark given below. Maximise recall where precision is at-least 0.2
We will get back to you if you are able to generalise your performance over this data set as well.