This project uses the Polish Companies Bankruptcy dataset from the UCI Machine Learning Repository and attempts to predict whether a business will go bankrupt.
The data consists of five separate files corresponding to five separate years, each of which has 64 attribute variables and one class variable, where class is the variable trying to be predicted.