Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

Journal of Big Data

Table 12 FS vs. FE for multiclass classification with 9 features

Models	Accuracy (%)	Precision (%)	Re-call (%)	F1-score (%)	MCC	FS (s)	Training (s)	Inference (ms)
Feature selection
DT	72.65	40.81	33.33	29.39	0.4553	8.38	*0.75*	*11.00*
RF	71.42	33.75	27.65	24.06	0.3606		10.00	826.79
kNN	70.11	33.06	26.29	22.29	0.5271		4.26	807,363.15
NB	19.22	24.14	34.37	19.2	0.2498		0.88	50.40
MLP	72.65	40.81	33.33	29.39	0.4553		72.16	230.48
Feature extraction
DT	*77.04*	*57.75*	*45.29*	*40.66*	*0.5768*	*5.27*	1.40	12.13
RF	76.25	42.42	43.33	36.83	0.5563		20.99	1317.2
kNN	41.74	43.36	21.24	15.26	0.1835		1.53	10,193.23
NB	52.43	30.69	50.32	32.64	0.4104		0.81	72.35
MLP	76.90	53.66	45.11	39.77	0.5692		129.93	239.49