Machine learning prediction for academic misconduct prediction: an analysis of binary classification metrics
Academic misconduct is unethical behavior in academic work. To sustain integrity culture and mitigating unethical conducts among higher education institutions community, the academic misconduct detection must be done at an earlier stage. Thus, this study attempted to provide a new empirical contribu...
| Published in: | Bulletin of Electrical Engineering and Informatics |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2024
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186193430&doi=10.11591%2feei.v13i1.5629&partnerID=40&md5=37a64235fe558381037c184de240ca08 |