Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features

Table 6

Recognition accuracies with the D_MSVM model.

True pattern	Identified pattern (%)
	NOR	CYC	IT	DT	US	DS	CT	CS	TS	CTS
NOR	70	4	2	24	0	0	0	0	0	0
CYC	2	76	2	0	0	0	14	0	0	6
IT	14	0	80	0	2	0	4	0	0	0
DT	0	4	0	88	0	0	0	0	2	6
US	0	0	0	0	98	0	2	0	0	0
DS	0	0	0	2	0	92	0	4	2	0
CT	2	22	2	0	2	0	72	0	0	0
CS	0	0	0	2	0	2	0	74	0	22
TS	0	0	0	14	0	12	0	0	64	10
CTS	0	4	0	12	0	2	0	16	0	66
Average	78.0