Utilization of Stockwell Transform and Random Forest Algorithm for Efficient Detection and Classification of Power Quality Disturbances

Table 7

Confusion matrix of SVM.

True PQDs	Predicted PQDs by SVM
	C1	C2	C3	C4	C5	C6	C7	C8	C9	C10	C11	C12	C13	C14	C15	C16	C17
C1	353
C2		323		6					1						9
C3			375
C4		10		317							3
C5					311				2			22
C6		2				345									5
C7							371			10			5
C8								361
C9					4				348		23	3
C10										313				10
C11		31		1							317	1					1
C12		5			6		4					298	13
C13									7				338	15
C14									35					316	21
C15										19	26				301
C16																355
C17						1					7						349
Overall accuracy = 94.83%