In order to improve the accuracy and generalization ability of Support Vector Machine (SVM) classification, this paper presents an improved binary tree classification algorithm based on SVM. It introduces basic principle of SVM, and summarizes multi-classifier classification algorithm and characteristics. Combining the advantages of the classification algorithms and introducing different weights for the classifier, this study proposes improved classification algorithm of the binary tree, which effectively avoids the shortage of common classification algorithms. Simulation experiments and comparison of the typical multi-class classification algorithms verify that the algorithm is effective. The algorithm provides an effective way for multi-class classification prediction research.