Table 5 Consolidated performance metrics across all model architectures.

Model	Accuracy				Kappa		F1 Macro		Weighted
Model	Mean	Std	Balanced Mean	Balanced Std	Kappa Mean	Kappa Std	Mean	Std	Precision mean	Precision Std	Recall Mean	Recall Std	F1 Mean	F1 Std
Ensemble	0.901	0.043	0.846	0.074	0.782	0.089	0.847	0.068	0.876	0.052	0.828	0.094	0.832	0.087
Encoder	0.880	0.050	0.786	0.098	0.724	0.113	0.786	0.115	0.874	0.069	0.880	0.050	0.873	0.056
Inception	0.867	0.050	0.820	0.064	0.719	0.086	0.799	0.063	0.887	0.044	0.862	0.052	0.865	0.051
Snapshot	0.841	0.066	0.826	0.055	0.688	0.099	0.789	0.049	0.903	0.041	0.876	0.057	0.881	0.053
Transformer	0.870	0.057	0.815	0.080	0.722	0.105	0.801	0.081	0.889	0.031	0.867	0.050	0.871	0.044
Fcn	0.828	0.094	0.779	0.098	0.651	0.141	0.751	0.102	0.889	0.037	0.870	0.057	0.873	0.051
Timecnn	0.862	0.052	0.806	0.093	0.705	0.103	0.792	0.084	0.918	0.033	0.901	0.043	0.902	0.039
Mcnn	0.876	0.057	0.840	0.078	0.741	0.111	0.822	0.081	0.901	0.024	0.842	0.067	0.851	0.053

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