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Table 6 Comparison of the gene selection algorithms on ten selected datasets. Bold font indicates the best results

From: A novel gene selection algorithm for cancer classification using microarray datasets

   IBPSO IG-GA IG-ISSO EPSO mABC SVM GSP
11_Tumors AC avg. 95.06 92.53 95.92 95.4 99.5 89.08 99.88
AC std. 0.3 _____ 1.31 0.61 0 --------- 0.01
N avg. 240.9 479 19.8 237.7 47.27 12533 17.9
N std. 9.55 ____ 2.57 9.66 7.79 ------- 1.2
9_Tumors AC avg. 75.5 85 91.67 75 98.65 53.33 98.88
AC std. 1.58 ____ 2.48 1.11 0.01 ------- 0.02
N avg. 240 52 15.7 247.1 34.73 5726 13.8
N std. 7.95 ____ 2.2136 9.65 5.54 -------- 1.02
Brain_Tumor1 AC avg. 92.56 93.33 98 92.11 100 90 99.8
AC std. 0.54 ____ 0.88 0.82 0 -------- 0.31
N avg. 11.2 244 10.1 7.5 16.87 5920 9.2
N std. 7.15 ____ 1.73 2.51 2.85 -------- 1.5
Brain_Tumor2 AC avg. 91 88 99.8 92.4 100 80 99.9
AC std. 0.05 ____ 0.63 1.27 0 -------- 0.1
N avg. 6.4 489 10.4 6 10.52 10367 9.8
N std. 1.9 ____ 1.08 1.83 1.72 -------- 0.4
Lung_ Cancer AC avg. 95.86 95.57 99.41 95.67 100 95.07 100
AC std. 0.53 ____ 0.45 8.3 0 -------- 0
N avg. 14.9 2101 10.4 8.5 23.31 12600 8.3
N std. 10.57 ____ 1.08 2.11 5.14 -------- 0.82
Leukemia1 AC avg. 100 100 100 100 100 100 100
AC std. 0 ____ 0 0 0 -------- 0
N avg. 3.5 82 4.6 3.2 5.67 7129 2.9
N std. 0.71 ____ 0.52 0.63 0.73 -------- 0.73
Leukemia2 AC avg. 100 98.61 100 100 100 97.22 100
AC std. 0 ____ 0 0 0 -------- 0
N avg. 6.7 782 4.2 6.8 6.29 11225 4.1
N std. 1.5 ____ 0.42 2.2 0.98 -------- 0.73
SRBCT AC avg. 100 100 100 99.64 100 98.41 100
AC std. 0 ____ 0 0.58 0 -------- 0
N avg. 17.5 56 4.3 14.9 5.59 2308 4
N std. 8.32 ____ 0.48 13.03 0.51 -------- 0.67
Prostate AC avg. 97.94 96 98.82 97 100 93.4 99.87
AC std. 0.31 ____ 0.41 0.62 0 -------- 0.52
N avg. 13.6 343 8.4 6.6 10.73 10509 8.2
N std. 7.68 ____ 1.78 2.17 3.15 -------- 0.79
DLBCL AC avg. 100 100 100 100 100 97.42 100
AC std. 0 ____ 0 0 0 -------- 0
N avg. 6 107 3.9 4.7 4.05 5469 3.5
N std. 1.25 ____ 0.32 0.82 0.78 --------Ftable 0.5