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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16751
Title: | Student'S Performance Prediction Using Machine Learning Algorithms- a Comparative Study |
Authors: | Kadu, Varun Mishra, Pawan Kumar Dandhare, Sarthak Patni, Jagdish Chandra Chandel, Palash Pathak, Soham Bahadure, Nilesh |
Keywords: | Decision Tree Decision Tree Method Entropy K-Nearest Neighbour Knn Regression Model Support Vector Machine Tree Classifier |
Issue Date: | 2024 |
Publisher: | 2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024 Institute of Electrical and Electronics Engineers Inc. |
Abstract: | Predicting and enhancing student performance has been a crucial topic of concentration in education amid the quick development of technology and the increasing need for higher-quality instruction. The use of machine learning technology to forecast pupils' academic success is covered in detail in this study report. This research project examined several prediction models that reliably predict students' performance according to a range of extracurricular and academic attributes. An overview of machine learning methods is given in this paper to automate the process of predicting students' academic performance and extracting outcomes. © 2024 IEEE. |
URI: | https://doi.org/10.1109/OTCON60325.2024.10687450 https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16751 |
ISBN: | 9798350373783 |
Appears in Collections: | Conference Papers |
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