Table 8.

Statistically sound performance comparison for the prostate cancer dataset.

Methods	25 genes	50 genes	75 genes	100 genes	125 genes	150 genes
SNR	.86(.82 to .95)	.86(.82 to .95)	.85(.80 to .97)	.86(.83 to .95)	.83(.80 to .93)	.84(.82 to .96)
t-Test	.80(.67 to .94)	.82(.66 to .92)	.82(.67 to .90)	.81(.67 to .93)	.81(.68 to .93)	.80(.69 to .95)
LSD	.79(.65 to .94)	.81(.63 to .93)	.81(.62 to .95)	.81(.64 to .95)	.81(.67 to .94)	.82(.64 to .93)
TNoM	.65(.53 to .80)	.65(.51 to .78)	.63(.50 to .79)	.65(.53 to .80)	.65(.52 to .78)	.63(.51 to .81)
MDMR	.87(.76 to .95)	.84(.75 to .97)	.86(.76 to .98)	.86(.75 to .97)	.87(.78 to .95)	.87(.74 to .98)
WEPO	.56(.43 to .70)	.57(.44 to .69)	.67(.53 to .74)	.70(.55 to .79)	.68(.52 to .75)	.73(.64 to .86)
RFGS	.80(.65 to .91)	.81(.68 to .92)	.78(.63 to .91)	.82(.68 to .92)	.79(.65 to .90)	.81(.67 to .92)
SVST	.92(.85 to .95)	.90(.83 to .96)	.91(.84 to .95)	.92(.87 to .94)	.92(.82 to .95)	.93(.81 to .97)