Abstract
This paper uses Bayesian networks to construct a prediction model for the college English application proficiency test. The analysis of the factors affecting the passing of the English application proficiency test is carried out using a Bayesian network-based classifier, and the results are verified using real data. The model can be used to provide decision support for the education management and reform of higher education institutions.
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**e, J. (2022). Bayesian Networks in the English Language Proficiency Test. In: Pei, Y., Chang, JW., Hung, J.C. (eds) Innovative Computing. IC 2022. Lecture Notes in Electrical Engineering, vol 935. Springer, Singapore. https://doi.org/10.1007/978-981-19-4132-0_124
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DOI: https://doi.org/10.1007/978-981-19-4132-0_124
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