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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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Hoofdauteurs: Colm Sweeney, Edel Ennis, Maurice Mulvenna, Raymond Bond, Siobhan O’Neill
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-05-01
Reeks:Computers
Onderwerpen:
machine learning
classification
positive psychology
Online toegang:https://www.mdpi.com/2073-431X/11/5/83
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