Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior

• Main Authors: Rahman, R.A., Masrom, S., Mohamad, M., Sari, E.N., Saragih, F., Rahman, A.S.A.
• Format: Article
• Published: Elsevier B.V. 2023
• Online Access: 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

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...