Table 2.

Comparison of the performance of StableDNAm with six state of the art models on the seventeen datasets

Indicator	Models	D1	D2	D3	D4	D5	D6	D7	D8	D9	D10	D11	D12	D13	D14	D15	D16	D17
ACC	iDNA_MS [37]	0.948	0.968	0.711	0.824	0.704	0.712	0.838	0.856	0.711	0.896	0.923	0.884	0.855	0.786	0.856	0.734	0.845
	iDNA_ABT [38]	0.949	0.969	0.825	0.842	0.703	0.738	0.854	0.890	0.733	0.912	0.927	0.898	0.826	0.801	0.874	0.774	0.869
	iDNA_ABF [39]	0.949	0.966	0.814	0.851	0.680	0.687	0.859	0.864	0.729	0.917	0.938	0.902	0.789	0.826	0.880	0.730	0.878
	BERT6mA [34]	0.947	0.963	0.773	0.822	0.691	0.735	0.853	0.902	0.721	0.882	0.926	0.896	0.781	0.813	0.874	0.752	0.863
	Deep6mA [33]	0.932	0.960	0.760	0.850	0.687	0.737	0.861	0.902	0.729	0.920	0.925	0.899	0.816	0.801	0.872	0.762	0.842
	MM-6mAPred [31]	0.906	0.931	0.773	0.764	0.689	0.670	0.755	0.722	0.670	0.809	0.851	0.823	0.786	0.745	0.747	0.705	0.751
	StableDNAm	0.949	0.968	0.853	0.853	0.710	0.743	0.861	0.909	0.745	0.923	0.939	0.907	0.818	0.827	0.882	0.768	0.877
AUC	iDNA_MS [37]	0.962	0.984	0.780	0.900	0.761	0.780	0.909	0.935	0.785	0.956	0.975	0.950	0.926	0.868	0.926	0.821	0.925
	iDNA_ABT [38]	0.955	0.976	0.856	0.902	0.753	0.799	0.918	0.943	0.798	0.942	0.955	0.941	0.859	0.871	0.928	0.836	0.926
	iDNA_ABF [39]	0.969	0.986	0.878	0.928	0.728	0.748	0.932	0.936	0.811	0.960	0.979	0.964	0.889	0.903	0.941	0.804	0.945
	BERT6mA [34]	0.956	0.975	0.799	0.903	0.742	0.805	0.915	0.962	0.777	0.950	0.962	0.947	0.865	0.850	0.938	0.838	0.925
	Deep6mA [33]	0.953	0.974	0.886	0.926	0.759	0.814	0.933	0.945	0.798	0.968	0.972	0.964	0.888	0.884	0.944	0.814	0.949
	MM-6mAPred [31]	0.939	0.978	0.886	0.844	0.755	0.735	0.834	0.831	0.708	0.892	0.954	0.901	0.853	0.821	0.843	0.771	0.828
	StableDNAm	0.967	0.981	0.896	0.928	0.776	0.819	0.934	0.966	0.816	0.971	0.981	0.969	0.881	0.905	0.944	0.845	0.949
MCC	iDNA_MS [37]	0.897	0.935	0.422	0.648	0.408	0.423	0.676	0.712	0.423	0.792	0.846	0.769	0.710	0.572	0.728	0.468	0.691
	iDNA_ABT [38]	0.901	0.937	0.652	0.684	0.406	0.477	0.709	0.781	0.467	0.824	0.824	0.796	0.653	0.610	0.754	0.551	0.739
	iDNA_ABF [39]	0.900	0.933	0.635	0.704	0.361	0.373	0.719	0.728	0.460	0.833	0.877	0.805	0.586	0.670	0.768	0.460	0.756
	BERT6mA [34]	0.896	0.926	0.562	0.653	0.383	0.471	0.705	0.804	0.443	0.769	0.851	0.792	0.564	0.627	0.752	0.505	0.727
	Deep6mA [33]	0.864	0.920	0.547	0.701	0.375	0.475	0.722	0.803	0.458	0.840	0.850	0.797	0.633	0.602	0.755	0.525	0.742
	MM-6mAPred [31]	0.820	0.865	0.556	0.528	0.378	0.340	0.511	0.478	0.344	0.6202	0.720	0.646	0.573	0.491	0.596	0.427	0.506
	StableDNAm	0.900	0.936	0.706	0.706	0.423	0.487	0.722	0.818	0.494	0.846	0.878	0.815	0.635	0.654	0.772	0.538	0.756

Bold indicates the optimal value among the compared methods, and underline indicates the suboptimal value