Table 2

The average accuracy using out-of-sample prediction on the 34 leukemia test samples. The symbol (*) means that there is some perfect predictors found by the algorithm. The highest accuracy is written in bold.

Population size

Feature size

The accuracy of different rank methods on the Test data (out-of-sample) [%]


R1

R2

R3

R4

R5

R6


10

30

97.35*

95.29

93.82

92.94*

93.53

94.12

50

98.24*

95.59

94.71*

93.82

93.53

95.00

30

30

96.74*

92.65

94.41

95.00*

94.71

93.82

50

97.06*

95.00

95.00

93.82

95.30

93.82

50

30

97.35*

93.82

94.71*

92.06*

94.12*

93.82*

50

96.17

93.82

92.65

92.35

94.12

94.71


Abbreviations: R1. Information gain; R2. Twoing rule; R3. Gini index; R4. Sum minority; R5. Max minority; R6. Sum of variances.

Jirapech-Umpai and Aitken BMC Bioinformatics 2005 6:148   doi:10.1186/1471-2105-6-148

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