Abstract
With the rapid development of information technology and its penetration into the field of education, it has become a worthwhile research topic to explore how to combine Outcome Based Education(OBE) model with data mining techniques to obtain predictions of secondary school students' employment rates. Therefore, this paper first collected attribution data affecting the employment rate of secondary school students, and then used three models to predict the highly correlated attribution data. Finally, based on the analysis and prediction results, the OBE model was implemented for the corresponding classes. The experimental results found that the combination of machine learning algorithms and educational practices facilitated the development of secondary education and significantly increased the employment rate of secondary school students.
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