Team Name:
Team 42
Team Members:
Team 42
Let's muck around in AFSA's insolvency data to see if we can find anything to predict non-compliance.
The data yielded a few interesting features after some squeezing and ringing. Males are more likely to breach their insolvency conditions than females. People who give common reasons for insolvency are less likely to breach than those who give unclear reasons or don't give reasons. Business related insolvencies yield about double the proportion of non-compliance cases. Curiously, when an applicant states doesn't state their family situation as part of the initial insolvency, they are much more likely to breach its conditions.
Description of Use Primary data set used to predict non-compliance.
Eligibility: Must use this dataset: https://data.gov.au/dataset/non-compliance-personal-insolvencies
Go to Challenge | 13 teams have entered this challenge.
