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. Author manuscript; available in PMC: 2010 Dec 8.
Published in final edited form as: Proceedings (IEEE Int Conf Bioinformatics Biomed). 2009 Nov 1;1-4(Nov 2009):26–31. doi: 10.1109/BIBMW.2009.5332132

Table 5. AUC of 8 methods on 1000-SNP data.

FET chi-2 LR IG FIM MDR BEAM SH
Set1 0.84 0.83 0.84 0.75 0.84 0.54 0.77 0.69
Set2 0.85 0.85 0.81 0.70 0.83 0.63 0.74 0.61
Set3 0.85 0.84 0.80 0.60 0.74 0.53 0.68 0.59
Set4 0.77 0.76 0.79 0.76 0.85 0.76 0.69 0.62
Set5 0.75 0.76 0.73 0.66 0.68 0.54 0.59 0.70
Set6 0.79 0.77 0.80 0.70 0.67 0.62 0.77 0.63
Set7 0.65 0.63 0.68 0.71 0.68 0.61 0.61 0.56
Set8 0.72 0.73 0.71 0.81 0.64 0.71 0.70 0.62
Set9 0.78 0.76 0.84 0.70 0.71 0.61 0.65 0.62
Set10 0.87 0.86 0.86 0.81 0.80 0.69 0.72 0.68
Set11 0.74 0.73 0.72 0.73 0.79 0.63 0.71 0.66
mean 0.78 0.77 0.78 0.72 0.75 0.62 0.69 0.63