Research Article
Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
Table 7
The classification accuracy of each multiclassification algorithm for the dataset“Page Blocks” in the 10 experiments.
| | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| OVO | 0.944 | 0.947 | 0.936 | 0.932 | 0.942 | 0.949 | 0.929 | 0.885 | 0.936 | 0.938 | OVA | 0.942 | 0.954 | 0.940 | 0.936 | 0.942 | 0.948 | 0.934 | 0.879 | 0.934 | 0.945 | BDT-SVM | 0.915 | 0.900 | 0.911 | 0.915 | 0.906 | 0.926 | 0.923 | 0.915 | 0.900 | 0.909 | VBDT-SVM | 0.910 | 0.905 | 0.914 | 0.888 | 0.898 | 0.917 | 0.916 | 0.919 | 0.921 | 0.899 | IBDT-SVM | 0.928 | 0.918 | 0.928 | 0.950 | 0.930 | 0.928 | 0.950 | 0.930 | 0.928 | 0.960 |
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