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

Table 2

The recognition accuracy rates with all features subsets of NB classifier based on maximum relevance selection.

Features subset
Activity	1	2	3	4	5	6	7	8	9	10	11	12	13
0	0.000	0.433	0.433	0.300	0.300	0.567	0.600	0.567	0.600	0.600	0.633	0.667	0.667
1	0.792	0.729	0.917	0.938	0.917	0.979	0.979	1.000	0.979	0.979	0.979	0.979	0.979
2	0.700	0.676	0.884	0.918	0.937	0.947	0.952	0.957	0.952	0.957	0.957	0.961	0.966
3	0.000	0.022	0.630	0.587	0.696	0.717	0.717	0.739	0.739	0.761	0.739	0.739	0.739
4	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
5	0.000	0.000	0.300	0.200	0.200	0.300	0.300	0.300	0.200	0.300	0.300	0.300	0.200
6	0.000	0.058	0.072	0.884	0.899	0.899	0.899	0.928	0.971	0.986	0.986	0.986	0.986
7	1.000	0.919	1.000	1.000	1.000	1.000	1.000	0.973	0.973	0.973	0.973	0.973	0.973
8	0.881	0.687	0.687	0.701	0.716	0.851	0.806	0.821	0.806	0.806	0.806	0.821	0.821
9	0.000	0.045	0.136	0.818	0.818	0.886	0.886	0.886	0.909	0.886	0.864	0.864	0.864
Total	0.535	0.528	0.680	0.827	0.843	0.888	0.887	0.893	0.895	0.900	0.898	0.903	0.903