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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

Predictive Analysis of Students Performance Evaluation in Higher Education: A Machine Learning Approach

Pankajini Sahu, Dillip Narayan Sahu*, E. Nageswara Rao, S. Balaji, Ruma Sahu

DOI: 10.17148/IJARCCE.2022.11537

Abstract: A comprehensive and relevant performance review procedure should be initiated at the start of the academic year. The increasing number of colleges has expanded in recent years, emphasizing the importance of enhanced approach performance in worldwide competitiveness. Institutions can use performance evaluation to develop future initiatives. Every lecturer must define annual goals for each category.[1] Complete performance evaluations give constructive feedback and direction to help lecturers develop and improve. Using various Machine Learning classifiers and ensemble methods, we have clearly studied, assessed, and predicted the impact of online education systems in this study. The primary objective of this study is to explain the relevance of higher education in performance evaluation of students.

Keywords: Algorithm, Machine Learning, Performance Evaluation, Predictive Analysis.

How to Cite:

[1] Pankajini Sahu, Dillip Narayan Sahu*, E. Nageswara Rao, S. Balaji, Ruma Sahu, “Predictive Analysis of Students Performance Evaluation in Higher Education: A Machine Learning Approach,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11537