Table 3. Comparison of precision on different attributes.

Algorithms	OCC	DEF	FM	IPR	MB	OV	OPR	SV	IV	BC	LR
Aojmus	0.878	0.900	0.830	0.916	0.911	0.753	0.895	0.992	0.906	0.892	0.996
MSCF	0.839	0.941	0.771	0.878	0.864	0.674	0.881	0.868	0.876	0.877	0.988
Staple	0.799	0.878	0.779	0.860	0.852	0.696	0.816	0.851	0.863	0.860	0.797
fDSST	0.722	0.777	0.771	0.799	0.838	0.544	0.759	0.796	0.876	0.891	0.731
KCF	0.722	0.813	0.744	0.818	0.832	0.604	0.803	0.805	0.863	0.882	0.785

Note:

The best results are in bold.