Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey

no code implementations • 16 Oct 2023 • Elaheh Jafarigol, William Keely, Tess Hartog, Tom Welborn, Peyman Hekmatpour, Theodore B. Trafalis

This study is an application of machine learning in identifying the underlying patterns in the data of 30 countries participating in the World Value Survey.