Table 10. Classification results of three classifiers on FS5 features set.

	KNN (K = 3)			Rotation Forest			Neural Network
Activity	Precision	Recall	F-measure	Precision	Recall	F-measure	Precision	Recall	F-measure
A1	0.995	0.992	0.993	0.997	0.992	0.994	0.990	0.987	0.988
A2	0.975	0.970	0.973	0.973	0.959	0.966	0.916	0.964	0.939
A3	0.949	0.985	0.967	0.937	0.983	0.959	0.910	0.932	0.921
A4	0.975	0.993	0.984	0.999	0.989	0.994	0.996	0.993	0.994
A5	1.000	0.975	0.987	0.993	0.971	0.982	0.971	0.975	0.973
A6	1.000	0.998	0.999	0.998	0.994	0.996	0.987	0.987	0.987
A7	0.996	0.986	0.991	0.991	0.989	0.990	0.991	0.984	0.987
A8	0.974	0.959	0.967	0.959	0.956	0.957	0.967	0.921	0.943
A9	0.966	0.909	0.937	0.960	0.918	0.939	0.970	0.921	0.945
A10	0.983	0.981	0.982	0.973	0.975	0.974	0.969	0.973	0.971
A11	0.964	0.994	0.979	0.956	0.991	0.973	0.964	0.965	0.965
A12	1.000	0.930	0.964	1.000	0.937	0.967	0.971	0.930	0.950
Average	0.980	0.979	0.979	0.977	0.977	0.977	0.967	0.967	0.967