K-Fold Cross-Validation Analysis for Student Status Prediction Using Classification Models-Reference-Cited by-同舟云学术

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K-Fold Cross-Validation Analysis for Student Status Prediction Using Classification Models

Published:2023-11-29 Issue: Volume:4 Page:247-252
ISSN:
Container-title:2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
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Author:

Ridwan Mohammad¹,Wahyono Teguh²,Iriani Ade²,Darmastuti Rini²,Sukisno ³,Nugroho Asep Hardiyanto³

Affiliation:

1. Wacana Christian University And Lecturer of Shekh Yusuf Islamic University,Student of computer science Satya,Salatiga,Indonesia

2. Satya Wacana Christian University,Doctor Computer Science,Salatiga,Indonesia

3. Lecturer of Shekh Yusuf Islamic University,Tangerang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404090/10404140/10405343.pdf?arnumber=10405343

Reference31 articles.

1. Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system

2. Machine Learning Techniques to Predict Academic Performance of Health Sciences Students

3. Predicting and Comparing Students’ Online and Offline Academic Performance Using Machine Learning Algorithms

4. Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing

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