A Comprehensive Review of Linear Regression, Random Forest, XGBoost, and SVR: Integrating Machine Learning and Actuarial Science for Health Insurance Pricing
- Title
- A Comprehensive Review of Linear Regression, Random Forest, XGBoost, and SVR: Integrating Machine Learning and Actuarial Science for Health Insurance Pricing
- Description
- Lecture Notes in Networks and Systems Vol.922 LNNS pp.355-367
- Creator
- Agarwal V.; Singh M.; Kumar K.P.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197297211&doi=10.1007%2f978-981-97-0975-5_33&partnerID=40&md5=d432a3769902371cfaffaaf6ec36669c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197297211&doi=10.1007%2f978-981-97-0975-5_33&partnerID=40&md5=d432a3769902371cfaffaaf6ec36669c</a>
- Date
- 2024-01-01
Collection
Citation
Agarwal V.; Singh M.; Kumar K.P., “A Comprehensive Review of Linear Regression, Random Forest, XGBoost, and SVR: Integrating Machine Learning and Actuarial Science for Health Insurance Pricing,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9773.