Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani

This paper proposes a predictive system using the Naive Bayes algorithm to solve the pressing issue of low academic performance among students at Universiti Teknologi MARA (UiTM).The study underlines a variety of factors affecting student outcomes while highlighting the significance of effective aca...

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Main Author: Jailani, Muhammad Irfan Zahin
Format: Thesis
Language:English
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/96336/1/96336.pdf
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id my-uitm-ir.96336
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spelling my-uitm-ir.963362024-06-04T07:01:30Z Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani 2024 Jailani, Muhammad Irfan Zahin Bayesian statistics This paper proposes a predictive system using the Naive Bayes algorithm to solve the pressing issue of low academic performance among students at Universiti Teknologi MARA (UiTM).The study underlines a variety of factors affecting student outcomes while highlighting the significance of effective academic performance. With the help of customized interventions and early identification of at-risk pupils, the proposed approach seeks to increase graduation rates and overall achievement.The main objectives of this study include studying the Naive Bayes algorithm in student academic performance prediction, designing and developing a student academic performance prediction model utilizing Naive Bayes, and evaluating the accuracy of the prediction prototype using the developed model. The approach, which consists of splitting the training and testing datasets, preparing the data, and applying Naive Bayes, produces remarkable results: 94.85% accuracy, 91.52% precision on average, 96.84% recall, and a 94.08% overall F1 score. As a result, the suggested system promotes improved student achievement and the welfare of society by providing a proactive way of addressing academic difficulties. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96336/ https://ir.uitm.edu.my/id/eprint/96336/1/96336.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Abu Bakar, Zamri
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abu Bakar, Zamri
topic Bayesian statistics
spellingShingle Bayesian statistics
Jailani, Muhammad Irfan Zahin
Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani
description This paper proposes a predictive system using the Naive Bayes algorithm to solve the pressing issue of low academic performance among students at Universiti Teknologi MARA (UiTM).The study underlines a variety of factors affecting student outcomes while highlighting the significance of effective academic performance. With the help of customized interventions and early identification of at-risk pupils, the proposed approach seeks to increase graduation rates and overall achievement.The main objectives of this study include studying the Naive Bayes algorithm in student academic performance prediction, designing and developing a student academic performance prediction model utilizing Naive Bayes, and evaluating the accuracy of the prediction prototype using the developed model. The approach, which consists of splitting the training and testing datasets, preparing the data, and applying Naive Bayes, produces remarkable results: 94.85% accuracy, 91.52% precision on average, 96.84% recall, and a 94.08% overall F1 score. As a result, the suggested system promotes improved student achievement and the welfare of society by providing a proactive way of addressing academic difficulties.
format Thesis
qualification_level Bachelor degree
author Jailani, Muhammad Irfan Zahin
author_facet Jailani, Muhammad Irfan Zahin
author_sort Jailani, Muhammad Irfan Zahin
title Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani
title_short Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani
title_full Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani
title_fullStr Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani
title_full_unstemmed Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani
title_sort prediction of uitm student academic performance using naive bayes algorithm / muhammad irfan zahin jailani
granting_institution Universiti Teknologi MARA, Terengganu
granting_department College of Computing, Informatics and Mathematics
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/96336/1/96336.pdf
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