New Retraining Model Released - May 10. The retraining phase of the spam filter machine learning system was enabled in production on Friday, May 10. Retraining allows the machine learning system to learn and adapt from the changes in fraud signatures. What's Next? In the next phase, the machine learning team will focus on integration of PII features into the model. This will further improve the performance of the model in its ability to detect fraudulent applications. This iteration will be released at the end of June 2019.
The User Interface tool gives the colleges the ability to review each application flagged as fraud and then make the final decision on whether they should be confirmed as fraud or not. The continuous learning and retraining of the model is based on the final confirmation by the college.
The links below provide an overview of the spam filter web service and user interface:
- FAQ: Spam Filter Web Service
- Issue: Rise in Fraudulent Applications in CCCApply
- Ways We Are Addressing Fraud in CCCApply
- Machine Learning Research Study
- Spam Filter Web Service
- Machine Learning Model & Prediction Service
- Spam Filter User Interface
- Pilot Project & College Participation
- Next Steps: Collecting Feedback for Future Enhancements
Message to Colleges
Even if your college is not having a problem with fraud today, there's a chance you may have a problem in the future. The spam filter web service will give you the tools and knowledge to address fraud now and in the future.