Academic support agent using SVM and logistic regression

The main resource of different universities is their students. Universities and students both contribute significantly to the production of highly qualified graduates through their achievements in the classroom. Academic performance refers to a student’s attainment of their educational objective and...

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Bibliographic Details
Main Authors: Ashokkumar, K., Diviyash, R., Dineshwaran, B., Reddy, Venna Sai Teja
Format: Conference Proceeding
Language:English
Subjects:
Colleges & universities
Datasets
Machine learning
Performance evaluation
Scientific visualization
Students
Online Access:Get full text
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Summary:The main resource of different universities is their students. Universities and students both contribute significantly to the production of highly qualified graduates through their achievements in the classroom. Academic performance refers to a student’s attainment of their educational objective and can be evaluated and tested through exams, assessments, and other measurement tools. However, because pupils may have varying levels of performance achievement, academic performance attainment varies. In this project, we create a student database using machine learning models and analyse their performances. We use the datasets of other groups and perform data visualization for the whole dataset. The input is the students’ dataset, and the output is the graphs and accuracy level analysing the academic performances.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0217592