Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients

澳大利亚税务局（ATO）的客户无法偿还其税收债务，导致州政府和联邦政府的收入不足。通过这个项目，我们将开发预测模型和技术，以识别ATO客户群中的客户类别和集群，以及这些集合的定义属性-特别是那些处于债务和拖欠税款高风险的集合。反过来，及早识别处于财务困境的客户将使ATO能够向他们提供援助，以便他们能够减少债务并履行其财务义务。

The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.