- Article
How Machine Learning Classification Accuracy Changes in a Happiness Dataset with Different Demographic Groups
- Colm Sweeney,
- Edel Ennis,
- Maurice Mulvenna,
- Raymond Bond and
- Siobhan O’Neill
This study aims to explore how machine learning classification accuracy changes with different demographic groups. The HappyDB is a dataset that contains over 100,000 happy statements, incorporating demographic information that includes marital statu...

