Predicting Student Academic Performance using Support Vector Machine and Random Forest-Reference-Cited by-同舟云学术

Predicting Student Academic Performance using Support Vector Machine and Random Forest

Published:2020-12-17 Issue: Volume: Page:
ISSN:
Container-title:2020 3rd International Conference on Education Technology Management
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Author:

H. Alamri Leena¹,S. Almuslim Ranim¹,S. Alotibi Mona¹,K. Alkadi Dana¹,Ullah Khan Irfan¹,Aslam Nida¹

Affiliation:

1. Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3446590.3446607

Reference29 articles.

1. . S. Annalina . F. Lara and . D. Z. Simone "Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework " pp. 42-60 19 April 2018. . S. Annalina . F. Lara and . D. Z. Simone "Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework " pp. 42-60 19 April 2018.

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