Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree

Table 4

The classification accuracy of each multiclassification algorithm fort the dataset “Statlog” in the 10 experiments.

	1	2	3	4	5	6	7	8	9	10
OVO	0.967	0.948	0.906	0.833	0.945	0.943	0.969	0.962	0.945	0.896
OVA	0.922	0.891	0.857	0.757	0.878	0.888	0.923	0.916	0.887	0.839
BDT-SVM	0.961	0.961	0.955	0.848	0.953	0.956	0.947	0.946	0.941	0.935
VBDT-SVM	0.961	0.939	0.956	0.950	0.957	0.952	0.952	0.950	0.944	0.945
IBDT-SVM	0.940	0.946	0.957	0.957	0.952	0.961	0.953	0.945	0.955	0.952