Evaluating Machine Learning Algorithms for Predicting Financial Aid Eligibility: A Comparative Study of Random Forest, Gradient Boosting and Neural Network

Evaluating Machine Learning Algorithms for Predicting Financial Aid Eligibility: A Comparative Study of Random Forest, Gradient Boosting and Neural Network

Financial aid ensures equitable access to higher education, irrespective of students' social or economic backgrounds. However, as the financial aid source are limited, the administrators are burdened with the task of determining the student eligibility for financial aid in a fair and unbias man...

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Bibliographic Details
Published in:Proceedings of the 2024 18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024
Main Author: Ismail M.H.; Razak T.R.; Noor N.M.; Aziz A.A.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186138521&doi=10.1109%2fIMCOM60618.2024.10418450&partnerID=40&md5=a7f00f0cbfc00c0589f0bcd4e69d1e3b

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186138521&doi=10.1109%2fIMCOM60618.2024.10418450&partnerID=40&md5=a7f00f0cbfc00c0589f0bcd4e69d1e3b

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