Table 9 F-Measure.

From: PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection

ID	GD		GDM		GDA		NM		LM		DNN		BTE		MVE		NDTF
ID	EF	SF	EF	SF	EF	SF	EF	SF	EF	SF	EF	SF	EF	SF	EF	SF	EF	SF
D1	0.899	0.916	0.861	0.896	0.868	0.899	0.908	0.932	0.879	0.9632	0.88	0.921	0.889	0.929	0.882	0.953	0.8914	0.934
D2	0.822	0.864	0.789	0.851	0.794	0.837	0.762	0.881	0.77	0.901	0.8289	0.902	0.8182	0.8953	0.814	0.904	0.8814	0.9234
D3	0.777	0.891	0.676	0.79912	0.71	0.82	0.78	0.80	0.78	0.8612	0.8932	0.923	0.762	0.881	0.81	0.891	0.8622	0.901
D4	0.82	0.8421	0.762	0.7911	0.72	0.872	0.71	0.8622	0.80	0.877	0.82	0.8822	0.77	0.880	0.81	0.838	0.8488	0.90
D5	0.70	0.822	0.712	0.706	0.72	0.862	0.778	0.821	0.803	0.828	0.81	0.881	0.66	0.8222	0.83	0.57	0.78	0.933
D6	0.577	0.7822	0.671	0.871	0.761	0.811	0.68	0.712	0.801	0.8224	0.802	0.9133	0.767	0.799	0.821	0.884	0.8223	0.8568
D7	0.57	0.79	0.63	0.899	0.66	0.76	0.70	0.77	0.8188	0.889	0.703	0.788	0.72	0.767	0.8033	0.8321	0.782	0.788
D8	0.578	0.7711	0.710	0.799	0.8222	0.873	0.82	0.87	0.82	0.87	0.86	0.912	0.67	0.78	0.821	0.871	0.851	0.89321
D9	0.67	0.72	0.788	0.899	0.801	0.821	0.811	0.872	0.63	0.78	0.58	0.85	0.61	0.76	0.723	0.8099	0.889	0.946
D10	0.772	0.812	0.712	0.799	0.74	0.829	0.811	0.869	0.712	0.836	0.814	0.924	0.7621	0.8211	0.812	0.849	0.828	0.90
D11	0.562	0.739	0.676	0.799	0.551	0.782	0.701	0.825	0.612	0.826	0.749	0.841	0.717	0.8152	0.617	0.816	0.836	0.929
D12	0.78	0.819	0.672	0.813	0.711	0.86	0.703	0.814	0.722	0.816	0.69	0.8	0.701	0.82	0.6122	0.863	0.656	0.8910
D13	0.53	0.719	0.526	0.6912	0.7611	0.8026	0.56	0.825	0.702	0.816	0.729	0.884	0.7381	0.82	0.709	0.806	0.811	0.871
D14	0.59	0.72	0.761	0.880	0.67	0.82	0.578	0.789	0.507	0.781	0.88	0.92	0.67	0.822	0.67	0.728	0.721	0.7880
D15	0.811	0.856	0.761	0.8961	0.621	0.861	0.75	0.825	0.82	0.876	0.801	0.931	0.66	0.820	0.780	0.8686	0.818	0.92
D16	0.57	0.709	0.63	0.792	0.71	0.806	0.710	0.88	0.861	0.907	0.821	0.89	0.56	0.810	0.812	0.856	0.801	0.912
D17	0.557	0.768	0.736	0.891	0.810	0.901	0.802	0.845	0.722	0.846	0.769	0.91	0.716	0.814	0.762	0.891	0.726	0.892
D18	0.767	0.812	0.706	0.84	0.714	0.816	0.648	0.825	0.672	0.876	0.692	0.824	0.626	0.810	0.62	0.816	0.566	0.86
D19	0.671	0.809	0.656	0.824	0.601	0.781	0.726	0.825	0.780	0.826	0.682	0.86	0.701	0.872	0.780	0.818	0.872	0.917
D20	0.487	0.768	0.647	0.7621	0.618	0.782	0.67	0.782	0.780	0.869	0.718	0.89	0.617	0.814	0.780	0.82	0.802	0.8891
D21	0.617	0.802	0.712	0.829	0.780	0.81	0.678	0.782	0.780	0.819	0.681	0.912	0.76	0.89	0.711	0.806	0.716	0.838
D22	0.677	0.782	0.577	0.789	0.661	0.786	0.872	0.890	0.71	0.81	0.80	0.89	0.56	0.72	0.60	0.76	0.76	0.91
D23	0.657	0.718	0.656	0.719	0.651	0.876	0.718	0.809	0.52	0.716	0.719	0.890	0.670	0.788	0.802	0.861	0.716	0.893
D24	0.517	0.780	0.676	0.78	0.781	0.86	0.780	0.889	0.678	0.816	0.809	0.99	0.716	0.808	0.802	0.902	0.816	0.967
D25	0.812	0.879	0.716	0.818	0.628	0.856	0.710	0.812	0.780	0.859	0.812	0.94	0.801	0.903	0.812	0.891	0.76	0.895
D26	0.70	0.812	0.71	0.88	0.70	0.89	0.63	0.715	0.562	0.786	0.789	0.9	0.656	0.770	0.52	0.876	0.56	0.89
D27	0.67	0.88	0.66	0.802	0.80	0.878	0.810	0.889	0.780	0.868	0.812	0.895	0.70	0.88	0.712	0.869	0.780	0.95
D28	0.77	0.89	0.601	0.774	0.81	0.891	0.780	0.895	0.802	0.8926	0.819	0.90	0.61	0.81	0.612	0.88	0.62	0.899
D29	0.57	0.82	0.671	0.792	0.701	0.87	0.77	0.81	0.778	0.897	0.71	0.86	0.76	0.88	0.82	0.89	0.801	0.96
D30	0.71	0.82	0.46	0.69	0.71	0.76	0.780	0.845	0.812	0.856	0.829	0.91	0.701	0.880	0.812	0.88	0.66	0.890

Significance of values are in bold.

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Table 9 F-Measure.

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