Analysis Scripts: 30-Month revalidation to determine the temporal stability of machine learning models for detecting online gambling-related harms

W. Spencer Murch

doi:None

Title	Authors

Analysis Scripts: 30-Month revalidation to determine the temporal stability of machine learning models for detecting online gambling-related harms

Contributors:

W. Spencer Murch

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This project contains analysis scripts written in the R statistical computing language for an exploratory analysis associated with the paper "A machine learning system for detecting online gambling-related harms replicates classification performance 30 months after validation" by Murch, Kairouz, and French (2023).

License: Other

Projects
Registrations

Results: All Projects Results: My Projects Results: All Registrations Results: My Registrations

Has supplemental materials for 30-Month revalidation to determine the temporal stability of machine learning models for detecting online gambling-related harms on PsyArXiv

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Create an Account Learn More Hide this message

Main content

Links to this project

Analysis Scripts: 30-Month revalidation to determine the temporal stability of machine learning models for detecting online gambling-related harms

Link other OSF projects

Files

Citation

Recent Activity

Start managing your projects on the OSF today.