Using Gradient Boosting Algorithms in Predicting Student Academic Performance-Reference-Cited by-同舟云学术

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Using Gradient Boosting Algorithms in Predicting Student Academic Performance

Published:2023-03-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Business Analytics for Technology and Security (ICBATS)
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Author:

Mashagba Esraa¹,Al-Saqqar Faisal¹,Al-Shatnawi Atallah²

Affiliation:

1. Al al-Bayt University,Prince Hussein Bin Abdullah College for Information Technology,Computer Science Department,Mafraq,Jordan

2. Al al-Bayt University,Prince Hussein Bin Abdullah College for Information Technology,Information Systems Department,Mafraq,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111090/10111095/10111325.pdf?arnumber=10111325

Reference44 articles.

1. Mining Educational Data to Predict Student’s academic Performance using Ensemble Methods;abu amrieh;Int J Database Theory Appl,2016

2. An Experimental Evaluation on Resource Attribute, Internal Risks and Regime Structure of R&D Association-Including Exploration of Moderating Effect of Association Management Capability, Psychological;alshurideh;Journal for ReAttach Therapy and Developmental Diversities,2022

3. Predicting Student Academic Performance using Support Vector Machine and Random Forest

4. IoT for smart cities: Machine learning approaches in smart healthcare—A review;ghazal;Future Internet,2021

5. PREDICTING THE STUDENTS’ PERFORMANCE IN JORDANIAN UNIVERSITIES USING MACHINE LEARNING;al-husban;JUST-Jordan University of Science and Technology,2021

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