Feature Selections Using Minimal Redundancy Maximal Relevance Algorithm for Human Activity Recognition in Smart Home Environments

Table 7

The recognition accuracy rates with each features subset of NB classifier under the D-R criterion.

Features subset
Activity	1	2	3	4	5	6	7	8	9	10	11	12	13
0	0.000	0.000	0.400	0.400	0.400	0.667	0.667	0.667	0.600	0.600	0.633	0.667	0.667
1	0.792	0.979	0.938	0.958	0.958	0.958	0.958	0.958	0.979	0.979	0.979	0.979	0.979
2	0.700	0.899	0.913	0.913	0.913	0.908	0.899	0.937	0.947	0.957	0.957	0.961	0.966
3	0.000	0.848	0.848	0.761	0.761	0.761	0.783	0.783	0.804	0.761	0.739	0.739	0.739
4	1.000	0.976	1.000	1.000	1.000	1.000	1.000	1.000	0.976	1.000	1.000	1.000	1.000
5	0.000	0.100	0.300	0.600	0.600	0.600	0.400	0.500	0.600	0.300	0.300	0.300	0.200
6	0.000	0.072	0.913	0.928	0.957	0.957	0.957	0.957	0.986	0.986	0.986	0.986	0.986
7	1.000	1.000	0.973	0.973	0.973	0.973	0.946	0.973	0.973	0.973	0.973	0.973	0.973
8	0.881	0.881	0.821	0.806	0.821	0.836	0.851	0.851	0.806	0.806	0.806	0.821	0.821
9	0.000	0.045	0.864	0.864	0.795	0.886	0.886	0.886	0.886	0.886	0.864	0.864	0.864
Total	0.535	0.695	0.870	0.870	0.870	0.890	0.885	0.902	0.903	0.900	0.898	0.903	0.903