Application of students Performance Analysis Using Machine Learning Algorithms

  • Unique Paper ID: 158913
  • PageNo: 1-5
  • Abstract:
  • This post presents a methodology to predict students' academic achievement in a higher education environment. Logistic regression is a machine learning technique that is decision tree-based. Also, the importance of a number of distinctive qualities, or "features," is considered in order to determine which of these are connected to student achievement. The results of an experiment showing how well machine learning works in this application are presented last.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{158913,
        author = {Perusomula Manohar Reddy and Gajjala Amruth Reddy and Dr.C.Heamalatha },
        title = {Application of students Performance Analysis Using Machine Learning Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {1-5},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158913},
        abstract = {This post presents a methodology to predict students' academic achievement in a higher education environment. Logistic regression is a machine learning technique that is decision tree-based. Also, the importance of a number of distinctive qualities, or "features," is considered in order to determine which of these are connected to student achievement. The results of an experiment showing how well machine learning works in this application are presented last.},
        keywords = {},
        month = {},
        }

Cite This Article

Reddy, P. M., & Reddy, G. A., & Dr.C.Heamalatha, (). Application of students Performance Analysis Using Machine Learning Algorithms. International Journal of Innovative Research in Technology (IJIRT), 9(11), 1–5.

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