Research Article
Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
Table 6
The classification accuracy of each multiclassification algorithm for the dataset“Breast tissue” in the 10 experiments.
| | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| OVO | 0.286 | 0.385 | 0.417 | 0.333 | 0.364 | 0.300 | 0.556 | 0.556 | 0.625 | 0.625 | OVA | 0.286 | 0.308 | 0.333 | 0.333 | 0.273 | 0.300 | 0.222 | 0.333 | 0.375 | 0.375 | BDT-SVM | 0.810 | 0.762 | 0.762 | 0.667 | 0.571 | 0.619 | 0.714 | 0.667 | 0.810 | 0.714 | VBDT-SVM | 0.571 | 0.762 | 0.571 | 0.714 | 0.571 | 0.571 | 0.619 | 0.429 | 0.571 | 0.762 | IBDT-SVM | 0.762 | 0.714 | 0.714 | 0.714 | 0.810 | 0.810 | 0.619 | 0.667 | 0.857 | 0.571 |
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