Student Work
Long Term Care Insurance Underwriting Building a Risk Scoring Model for John Hancock Insurance & Financial Services
公开可下载的内容
open in viewerThe project goal was to test a previously designed adaptive risk scoring model for long term care insurance underwriting using actual applicant data from John Hancock. A data filtering method for removing applicants who should not be used to train the model was developed. The model provides accurate risk class assignment, based solely on the medical conditions, when trained on the filtered data. In addition, the model identifies errors in the risk points assigned to individual medical conditions.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-042607-172532
- Advisor
- Year
- 2007
- Sponsor
- Date created
- 2007-04-26
- 地点
- Boston
- Resource type
- Major
- Rights statement
- 最新修改
- 2021-01-26
关系
- 属于 Collection:
项目
Permanent link to this page: https://digital.wpi.edu/show/cf95jc89b