Student Result Prediction in Covid-19 Lockdown using Machine Learning Techniques

نویسندگان

چکیده

Covid-19 virus has moved the world to a static state. This confused education field in conducting end examinations. The school declared results of few classes as pass without But, this may not be possible for all system, especially final year college student results. For reason, prediction result based on their previous performance is essential. Prediction can effectively achieved by using machine learning algorithms. Machine automatically learns and improves from example experience. Supervised algorithms Logistic regression SVM are used work. data set 1460 students considered study. Finally, trained predicts accurately whether eligible acquire degree or same viewed portal.

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ژورنال

عنوان ژورنال: Journal of physics

سال: 2021

ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']

DOI: https://doi.org/10.1088/1742-6596/1911/1/012008