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
Issues & Objectives
Child support cases – involving the payment of support by one parent – are ranked on a scale of 1 (full payment) to 5 (no payment)
The project objective is to predict the collection category of cases based on its past payment pattern and various attributes
Solution
Multinomial Logistics Regression technique was used to build the predictive models
Models were developed for 4 major states in the United States.
Project information
Skills
Advanced Statistical Model
Client
Child Support Service
Domain
Predictive Modeling
Location
USA
Results
The accuracy of prediction for a dataset of 12 months was 71–83%.
The project was implemented for 4 major US states. 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.