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Table 4 The average accuracy on 5 sets of parameters and six ranking methods on the NCI60 data. No perfect predictors are 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 all dataset (LOOCV) [%]
R1 R2 R3 R4 R5 R6
10 30 66.72 63.77 60.00 54.43 62.78 69.34
  50 67.86 62.78 61.63 52.62 62.62 65.90
30 30 76.23 72.29 72.02 65.90 74.26 75.41
  50 73.44 72.46 71.15 63.11 73.44 73.93
50 50 75.08 72.29 71.96 71.97 73.77 74.16