How Machine Learning Classification Accuracy Changes in a Happiness Dataset with Different Demographic Groups

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 status, gender, age, and parenthood status. Using the h...

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Podrobná bibliografie

Hlavní autoři:	Colm Sweeney, Edel Ennis, Maurice Mulvenna, Raymond Bond, Siobhan O’Neill
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-05-01
Edice:	Computers
Témata:	machine learning classification positive psychology
On-line přístup:	https://www.mdpi.com/2073-431X/11/5/83
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