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

Table 5

Recognition accuracies with the F_MSVM model.

True pattern	Identified pattern (%)
	NOR	CYC	IT	DT	US	DS	CT	CS	TS	CTS
NOR	100	0	0	0	0	0	0	0	0	0
CYC	2	86	0	0	0	0	0	0	6	6
IT	0	0	96	0	0	0	4	0	0	0
DT	0	0	0	100	0	0	0	0	0	0
US	0	0	0	0	100	0	0	0	0	0
DS	0	0	0	2	0	96	0	2	0	0
CT	0	0	6	0	0	0	94	0	0	0
CS	0	0	0	2	0	0	0	98	0	0
TS	6	0	12	0	0	0	0	0	82	0
CTS	0	34	0	0	0	0	0	0	4	62
Average	91.4