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

Table 3

The classification accuracy of each multiclassification algorithm for the dataset “Segmentation” in the 10 experiments.

	1	2	3	4	5	6	7	8	9	10
OVO	0.923	0.961	0.961	0.957	0.957	0.965	0.961	0.957	0.957	0.960
OVA	0.880	0.940	0.944	0.935	0.935	0.948	0.939	0.935	0.939	0.943
BDT-SVM	0.944	0.987	0.972	0.987	0.974	0.985	0.981	0.987	0.978	0.991
VBDT-SVM	0.974	0.976	0.989	0.981	0.983	0.981	0.987	0.987	0.981	0.985
IBDT-SVM	0.987	0.989	0.991	0.991	0.991	0.972	0.978	0.978	0.985	0.985