Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
Machine learning has been very promising in solving real problems, but the implementation involved difficulties mainly for the inexpert data scientists. Therefore, this paper presents an automated machine learning (AutoML) to simplify and accelerate the modeling tasks. Focused on Python and RapidMin...
Saved in:
Main Authors: | Rahman, R.A., Masrom, S., Mohamad, M., Sari, E.N., Saragih, F., Rahman, A.S.A. |
---|---|
格式: | Article |
出版: |
Elsevier B.V.
2023
|
在线阅读: | http://scholars.utp.edu.my/id/eprint/37269/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171322687&doi=10.1016%2fj.mex.2023.102364&partnerID=40&md5=2a8e87d40f36edebb10d81f9d465695b |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Hyperparameter tuning and pipeline optimization via grid search method and tree-based AutoML in breast cancer prediction
由: Mat Radzi, Siti Fairuz, et al.
出版: (2021) -
Academic dishonesty, plagiarism
由: Mohamed, Wael Mohamed Yousef
出版: (2023) -
Perception on the Roles of
Whistleblowing: Demographic
Evidence from Malaysia
由: Mohamad Afzhan Khan Mohamad Khalil,, et al.
出版: (2014) -
Postgraduate students' perceptions towards academic dishonesty
由: Ying, S. C., et al.
出版: (2017) -
A Study On Academic Dishonesty Among University Students: The Implementation Of University Policy And Students’ Awareness On Academic Dishonesty
由: Hamdzah, Nor Lailatul Azilah, et al.
出版: (2020)