Table 11.

Comparison of model performance on LSR and EPDM datasets for model-type and aging-type classification.

Model	Target	Dataset	Accuracy	Precision	Recall	F1-Score
XGBoost	Model Type	LSR	0.70	0.71	0.70	0.70
	Model Type	EPDM	0.69	0.67	0.69	0.68
	Aging Type	LSR	0.62	0.62	0.62	0.61
	Aging Type	EPDM	0.62	0.67	0.68	0.67
MLP	Model Type	LSR	0.59	0.66	0.59	0.59
	Model Type	EPDM	0.55	0.60	0.55	0.53
	Aging Type	LSR	0.67	0.60	0.67	0.65
	Aging Type	EPDM	0.58	0.61	0.62	0.64
DNN	Model Type	LSR	0.62	0.65	0.62	0.61
	Model Type	EPDM	0.69	0.66	0.69	0.66
	Aging Type	LSR	0.70	0.77	0.70	0.71
	Aging Type	EPDM	0.76	0.78	0.76	0.76
Stacked Model	Model Type	LSR	0.95	0.93	0.97	0.90
	Model Type	EPDM	0.84	0.82	0.87	0.89
	Aging Type	LSR	0.98	0.91	0.95	0.98
	Aging Type	EPDM	0.83	0.81	0.83	0.87