Prediction of Students' Employment Prospect Based on GBDT Algorithm Model

The important indicator of students' employment prospect can help colleges and universities better stabilize the output of college students who meet the actual needs of society [1]. The definition of students' employment prospect and its influencing factors is not obvious. Based on this, this paper selects indicators, constructs three types of indicators such as career choice, salary and self realization to form students' employment prospect indicators, and uses random forest, SVM and gbdt models for analysis. The comparative analysis of data shows that gbdt model has good prediction ability, The first mock exam shows that this model is more suitable for the need of educational data mining.