Research Article
Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree
Table 5
The classification accuracy of each multiclassification algorithm for the dataset “Iris” in the 10 experiments.
| | | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| | OVO | 1.00 | 0.933 | 0.970 | 1.00 | 0.933 | 0.933 | 0.933 | 1.00 | 1.00 | 1.00 | | OVA | 0.933 | 0.867 | 1.000 | 0.933 | 0.933 | 0.933 | 0.867 | 0.933 | 1.0 | 1.0 | | BDT-SVM | 0.933 | 0.933 | 0.967 | 0.90 | 0.967 | 0.933 | 0.967 | 0.900 | 0.900 | 0.967 | | VBDT-SVM | 0.967 | 0.967 | 1.000 | 0.933 | 1.000 | 0.933 | 0.900 | 0.933 | 0.900 | 0.900 | | IBDT-SVM | 0.972 | 1.000 | 0.967 | 0.980 | 0.967 | 0.967 | 0.967 | 0.933 | 0.967 | 0.980 |
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