Table 2.

Comparison of the performance (%) of the hybrid metaheuristic over various feature selection approaches.

Approach	Metric	Dataset
		D	D	D
Cuckoo-Firefly-GR	ACC			98.74
	MCC
Cuckoo-GR	ACC	98.47	97.11
	MCC	94.34	91.97	97.57
Firefly-GR	ACC	97.37	97.61	92.36
	MCC	92.73	93.36	94.16
Deep Autoencoders (4 Layers)	ACC	89.85	95.62	83.54
	MCC	57.82	87.65	65.92
Deep Autoencoders (8 Layers)	ACC	87.77	95.82	82.06
	MCC	47.96	88.23	62.65
LSTM Autoencoders (Compression = 0.4)	ACC	89.08	92.33	77.30
	MCC	53.83	78.35	50.90
LSTM Autoencoders (Compression = 0.8)	ACC	88.43	67.83	77.90
	MCC	50.42	39.61	51.39