Machine learning prediction for academic misconduct prediction: an analysis of binary classification metrics
Suraya Masrom,
Nor Hafiza Abdul Samad,
Ratna Septiyanti
et al.
Abstract: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 contribution with the analysis of binary classification performances metrics to describe the ability of machine learning in predicting academic misconduct. Four machine learning algorithms have been used namely generalized … Show more
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