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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.

From: Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes

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