Bias and Its Consequences: A Study of Machine Learning Performance

Anirudh Kokate and Madhu Priya

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024, vol. 10, issue 6, 290-301

Abstract: This paper addresses the concern about bias affecting the results of machine learning models. For this purpose, it uses the Adult Income dataset from OpenML for income classification. The conditions for bias are induced by underrepresenting people that earn

Keywords: Machine Learning; Fairness in AI; Class imbalance and Bias Impact Analysis (search for similar items in EconPapers)
Date: 2024
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241051088
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v10:y2024:i6:id:418

DOI: 10.32628/CSEIT241051088

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