Table 3.

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

State	LOCAL_Ada	Multboost	AdaBoost.PL.V2	BOPPID
AZ	0.799 ± 0.103	0.831 ± 0.085	0.845 ± 0.096	0.865 ± 0.088
CA	0.895 ± 0.046	0.844 ± 0.060	0.870 ± 0.064	0.902 ± 0.049
FL	0.882 ± 0.065	0.861 ± 0.059	0.878 ± 0.056	0.899 ± 0.053
IL	0.849 ± 0.071	0.876 ± 0.076	0.885 ± 0.053	0.896 ± 0.046
MI	0.881 ± 0.065	0.926 ± 0.038	0.923 ± 0.037	0.934 ± 0.038
MO	0.914 ± 0.034	0.886 ± 0.052	0.902 ± 0.048	0.921 ± 0.040
NJ	0.802 ± 0.040	0.835 ± 0.051	0.847 ± 0.042	0.857 ± 0.048
NV	0.863 ± 0.045	0.877 ± 0.033	0.891 ± 0.029	0.901 ± 0.019
NY	0.858 ± 0.060	0.857 ± 0.038	0.873 ± 0.061	0.891 ± 0.056
OH	0.885 ± 0.041	0.879 ± 0.066	0.892 ± 0.053	0.900 ± 0.050
PA	0.816 ± 0.082	0.809 ± 0.117	0.873 ± 0.071	0.885 ± 0.071
SD	0.892 ± 0.072	0.920 ± 0.067	0.929 ± 0.056	0.937 ± 0.047
TX	0.854 ± 0.040	0.838 ± 0.038	0.845 ± 0.027	0.871 ± 0.027
VA	0.789 ± 0.056	0.827 ± 0.045	0.838 ± 0.072	0.863 ± 0.059