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Student achievement prediction is one of the most important research directions in educational data mining. Student achievement directly reflects students' course mastery and lecturers' teaching level. Especially for the achievement prediction of college students, it not only plays an early warning and timely correction role for students and teachers, but also provides a method for university decision-makers to evaluate the quality of courses. Based on the existing research and experimentaldoi:10.3390/app12083841 fatcat:nh7ggjbztnczbl4mdz2kzwkxdq