Application of SVM-KNN intelligent classification prediction model in IT Vocational Education

In the process of sustainable development of information technology, it vocational education has received extensive attention. Its education quality and students’ learning state are very important. In order to explore the effectiveness of it vocational education, this subject experiment applies SVM-KNN intelligent classification prediction model to it vocational education, collects students’ IT vocational data for simulation analysis, and predicts their graduation status. The results show that the intelligent classification prediction model based on SVM-KNN algorithm has high prediction accuracy, and its accuracy and recall remain at a high level. This shows that SVM-KNN intelligent classification prediction model has a good application effect in it vocational education and can help improve the learning quality.