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Original Article

Exploratory Analysis on Effect of Poor Feature Selection on the Predictive Performance of Machine Learning Models

Ujjwal Pratap Singh1
1 Student at Indian Institute of Technology, Kharagpur, West Bengal, India.

Published Online: July-August 2026

Pages: 165-167

References

1. Jie Ding, Vahid Tarokh, and Yuhong Yang. 2018. Model selection techniques: An overview. IEEE Signal Processing Magazine 35, 6
(2018), 16–34.
2. Yair Weiss and William T Freeman. 2007. What makes a good model of natural images? In 2007 IEEE conference on computer vision
and pattern recognition. IEEE, 1–8
3. J. Miao and L. Niu, “A Survey on Feature Selection,” Procedia Comput. Sci., vol. 91, no. Itqm, pp. 919–926, 2016, doi:
10.1016/j.procs.2016.07.111
4. M. Büyükkeçeci and M. C. Okur, “A Comprehensive Review of Feature Selection and Feature Selection Stability in Machine Learning”,
Gazi University Journal of Science, vol. 36, no. 4, pp. 1506–1520, Dec. 2023, doi: 10.35378/gujs.993763.
5. Kohavi, R., John, G.H., “Wrappers for feature subset selection”, Artificial Intelligence, 97(1-2):273-324, (1997).
6. Yu, L., Liu, H., “Efficient Feature Selection via Analysis of Relevance and Redundancy”, Journal of Machine Learning Research, 5: 1205-
1224, (2004).

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