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

Table 4

Recognition accuracies with the proposed F_MSVM_GA 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	0	98	0	0	0	0	0	0	0	2
IT	0	0	98	0	0	0	2	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	0	0	98	0	2	0	0
CT	0	0	2	0	0	0	98	0	0	0
CS	0	0	0	0	0	0	0	100	0	0
TS	2	0	0	0	0	0	0	0	96	2
CTS	0	10	0	0	0	0	0	0	2	88
Average	97.6