Table 4.

Performance comparison of different algorithms based on the F-measure values (along with their standard deviation)

State	LOCAL_Ada	Multboost	AdaBoost.PL.V2	BOPPID
AZ	0.541 ± 0.141	0.592 ± 0.084	0.612 ± 0.148	0.631 ± 0.151
CA	0.592 ± 0.092	0.498 ± 0.049	0.562 ± 0.079	0.608 ± 0.090
FL	0.664 ± 0.098	0.615 ± 0.085	0.643 ± 0.083	0.679 ± 0.092
IL	0.572 ± 0.102	0.643 ± 0.136	0.630 ± 0.110	0.659 ± 0.088
MI	0.619 ± 0.110	0.708 ± 0.087	0.707 ± 0.087	0.720 ± 0.091
MO	0.654 ± 0.069	0.608 ± 0.097	0.646 ± 0.094	0.667 ± 0.103
NJ	0.534 ± 0.059	0.583 ± 0.058	0.585 ± 0.056	0.589 ± 0.063
NV	0.668 ± 0.049	0.691 ± 0.058	0.705 ± 0.058	0.715 ± 0.043
NY	0.699 ± 0.086	0.682 ± 0.054	0.709 ± 0.099	0.731 ± 0.093
OH	0.657 ± 0.074	0.639 ± 0.104	0.688 ± 0.080	0.701 ± 0.084
PA	0.637 ± 0.090	0.623 ± 0.128	0.693 ± 0.092	0.721 ± 0.112
SD	0.666 ± 0.190	0.696 ± 0.159	0.691 ± 0.140	0.732 ± 0.107
TX	0.661 ± 0.065	0.628 ± 0.050	0.639 ± 0.035	0.675 ± 0.042
VA	0.493 ± 0.088	0.512 ± 0.075	0.560 ± 0.096	0.566 ± 0.079