Table 1 Comparison of the classifiers in terms of the best results. Thecomparison of all the classifiers in terms of the best results of the average test error rates (%). For each data set, we chose the N _f most discriminatory genes, where N _f = 10, 20, 40, 60, 80, 100, 200, 400, 600, 800, 1000, 1200, 1400, 1600, 1800, 2000, respectively; repeated the experiment 100 times at each value of N _f ; and then, calculated the average test error rates and their standard deviations over the 100 experiments. In comparison, we assign a classifier a score 1 as it achieves the best result on one data set, and 2 if it achieves the next best result, and so on. The average score roughly evaluates the global performance of a classifier on these twelve data sets.

ALL-AML

3.32 (1.21)

3.08 (1.09)

2.95 (0.78)

2.70 (0.00)

2.70 (0.00)

ALL-MLL-AML

6.17 (2.75)

2.14 (1.97)

5.19 (2.95)

2.83 (2.37)

3.21 (2.18)

CNS

19.52 (5.88)

12.26 (7.04)

22.42 (5.58)

13.35 (7.52)

15.32 (5.60)

Breast-ER

7.12 (4.12)

4.92 (4.40)

3.21 (3.04)

4.64 (4.39)

4.48 (4.45)

Breast-LN

13.12 (5.91)

9.92 (5.16)

7.76 (4.85)

7.92 (5.39)

8.36 (4.48)

Colon

14.03 (3.76)

16.84 (6.14)

12.65 (4.58)

11.84 (4.28)

11.58 (4.97)

Lung

1.21 (0.98)

0.81 (0.73)

0.47 (0.57)

0.53 (0.61)

0.31 (0.54)

Lymphoma

2.05 (2.58)

2.05 (2.09)

6.23 (2.88)

1.03 (1.59)

1.90 (2.05)

Ovarian

0.74 (0.87)

0.02 (0.13)

1.58 (0.81)

0.17 (0.42)

0.01 (0.08)

Prostate

7.41 (2.47)

5.22 (2.99)

6.73 (3.02)

4.86 (2.77)

4.90 (2.53)

Subtypes

2.57 (0.86)

1.73 (0.90)

2.45 (0.92)

2.60 (1.02)

2.42 (0.82)

Average Score

4.5

2.8

3.3

2.3

1.9