Solution
- Multinomial Logistics Regression technique was used to build the predictive models
- Models were developed for 4 major states in the United States
Issues & Objectives
- There are two parents in every child support case. One is the Custodial Parent (CP) – the parent who lives with the child the majority of the time and has the primary day-to-day responsibility; the other is the Non-Custodial Parent (NCP) who also has important responsibilities. An aggrieved CP may appeal to the state to enforce child support by the NCP
- The project objective is to predict the collection category of cases based on its past payment pattern and various attributes
Challenges
- Extremely large data – Approx. 300,000 cases per month
- Available data and relevant variables differ from state to state. Predictive models built for four states so far
- Collection categories definition
Project information
Techniques
Risk Analytics
Client
Child Support Service
Industries
Public Sector & Education
Location
USA
Results
- The accuracy of prediction for a dataset of 12 months was 71–83%
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