ARCHIVES
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
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260604018References
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).
(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).
Related Articles
2026
A Strategic Framework for Depth-Dependent Hydroelectric Conversion along the Indian Coastline
2026
Reimagining Development in India: A Critical Analysis of the Viksit Bharat Vision
2026
AI-Enabled Image Description: Bridging the Gap for the Visually Impaired
2026
Perceived Occupational Risks of Emergency Medical Services Personnel
2026
Origin, Growth and recent Development of Integrated Reporting (IR): A theoretical Review
2026
Smart Hostel Management System
Share Article
Or copy link
https://www.ijrtmr.com/archives/exploratory-analysis-on-effect-of-poor-feature-selection-on-the-predictive-performance-of-machine-learning-models
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.