Table 4.

Performance comparison of data-driven and statistical methods on various metrics. The best result for each metric within each category is highlighted in bold.

Data driven methods					Statistical-based methods
Method	F1-score	Test acc	Precision	Recall	Method	F1-score	Test acc	Precision	Recall
ANN46	0.889	91.21%	0.900	0.879	SVM47	0.803	85.37%	0.820	0.789
CNN48	0.903	92.43%	0.914	0.885	KNN49	0.784	84.12%	0.792	0.780
RNN50	0.912	94.12%	0.922	0.905	RF51	0.830	87.11%	0.846	0.816
GAT52	0.918	95.18%	0.930	0.898	DT53	0.825	86.53%	0.831	0.809
GRU + Attention54	0.914	93.74%	0.921	0.906	BC	0.834	87.82%	0.843	0.828
TCN55	0.918	94.28%	0.926	0.910
Transformer56	0.938	95.63%	0.944	0.931
ResNet-1D57	0.912	93.91%	0.919	0.905
InceptionTime58	0.946	96.07%	0.951	0.941
LightGBM + SHAP59	0.856	88.92%	0.861	0.852
DualGAT (proposed)	0.971	97.35%	0.979	0.982