支持向量机(Support Vector Machine,SVM)是一种基于统计学习理论的机器学习方法,由于其出色的学习性能,早已成为当前机器学习界的研究热点;而决策树是一种功能强大且相当受欢迎的分类和预测工具。本文重点介绍支持向量机与决策树结合解决多分类问题的算法,并对其进行评析和总结。 Support Vector Machine (SVM) is a machine learning method based on statistical learning theory. Due to its excellent learning performance, SVM has long been a research hotspot in the field of machine learning. Decision tree is a powerful and quite powerful Welcome classification and forecasting tools. This article focuses on the support vector machine and decision tree algorithms to solve multi-classification problems, and its analysis and summary.