Predicting Student Performance Based on Featured Soft-Max Classification Model for Recommending Low-Rank Students

Volume 20 No 6 (2022)

Rasheed Mansoor Ali S ,S. Perumal

DOI: 10.14704/nq.2022.20.6.NQ22592

Abstract

In recent days, big data analyticsin modern science become growing in educational services for predicting student performance. But in recent days the spreading of COVID-19 leads a pandemic period to affect the educational service which is only performed through online classes. Due to this nature of educational services the student performance be mostly affected

Keywords

:Feature selection and classification, SILA, SMATF, Recurrent Neural Network Classification, prediction and ranking, deep learning

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