Table 5.

Classification report.

Dataset	Models	Precision	Recall	F1-score
TON_IoT (IoT_Fridge)	Random forest	0.89	0.91	0.89
	XGB	0.89	0.91	0.89
	LGBM	0.89	0.91	0.89
	CB	0.90	0.91	0.89
TON_IoT (IoT_Garage_Door)	Random forest	0.90	0.93	0.91
	XGB	0.90	0.93	0.91
	LGBM	0.90	0.93	0.91
	CB	0.90	0.93	0.91
TON_IoT (IoT_GPS_Tracker)	Random forest	0.92	0.93	0.92
	XGB	0.97	0.97	0.97
	LGBM	0.95	0.95	0.95
	CB	0.94	0.94	0.94
TON_IoT (IoT_Motion_Light)	Random forest	0.89	0.92	0.90
	XGB	0.89	0.92	0.90
	LGBM	0.89	0.92	0.90
	CB	0.89	0.92	0.90
TON_IoT (IoT_Thermostat)	Random forest	0.92	0.95	0.94
	XGB	0.93	0.95	0.94
	LGBM	0.92	0.95	0.94
	CB	0.92	0.95	0.94
TON_IoT (IoT_Weather)	Random forest	0.97	0.97	0.96
	XGB	0.96	0.96	0.96
	LGBM	0.97	0.97	0.97
	CB	0.96	0.96	0.96