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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