Table 4.

Summary of results obtained using different machine learning classifiers.

Datasets	No. of classes	Classes names	ANN	LR	RF	SVM	GB	k-NN	SGD	Ensembles
Bonn dataset	2	A–E	97.5	99.5	99.5	96.5	97	92	99.5	97
		B–E	97	99	99	95	95	91.5	99	96
	3	AB–CD–E	98	97.4	95	97.8	97.4	98.2	97.6	97.8
	4	AB–C–D–E	89.6	94.6	92	93.2	93.8	93.2	94.4	92.8
	5	A–B–C–D–E	87	92.4	89.4	93.2	88.8	89	89	92.2
CHB-MIT dataset	2	Ictal–Preictal	94.4	91.7	92.4	95.7	94.6	96.8	87	97