https://github.com/kasaai/lapseml

Explainable Machine Learning Approaches for Shock Lapse Modeling
https://github.com/kasaai/lapseml

actuarial actuarial-science machine-learning r rstats

Last synced: about 2 months ago
JSON representation

Explainable Machine Learning Approaches for Shock Lapse Modeling

• Host: GitHub
• URL: https://github.com/kasaai/lapseml
• Owner: kasaai
• License: cc-by-4.0
• Created: 2018-12-12T08:58:12.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-07T18:50:50.000Z (almost 6 years ago)
• Last Synced: 2024-08-13T07:11:15.248Z (5 months ago)
• Topics: actuarial, actuarial-science, machine-learning, r, rstats
• Language: R
• Homepage: https://www.soa.org/globalassets/assets/library/newsletters/compact/2019/april/2019-compact-iss62-kuo-crompton-logan.pdf
• Size: 989 KB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• jimsghstars - kasaai/lapseml - Explainable Machine Learning Approaches for Shock Lapse Modeling (R)

README

        
# ML Approaches to Shock Lapse Modeling

[![Travis build status](https://travis-ci.org/kasaai/lapseml.svg?branch=master)](https://travis-ci.org/kasaai/lapseml)

This project investigates applying ML models for modeling of post-level premium term shock lapses for term life contracts.