Karpagam JCS ISSN: 2582 – 8525 (Print), 2583 – 3669 (Online)

Predicting The Students’ Performance In Covid Pandemic Situation Using Datamining

Abstract
The performance of students' has to be predicted and how they have affected in education on COVID pandemic situation. A big challenge arises while students and faculty members are having classes and interactions through online mode. Effectiveness of education in online becomes very low and students' are not gaining knowledge in both academic and Socio-economical ways. Here, the implementation of a systematically review for analyzing both students' and faculty's performance by Data mining techniques is proposed to encourage students' achievements. The Support Vector Machine algorithm is appropriate for predicting students' performance. Support Vector Machine algorithm produces high prediction among other prediction algorithms.

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