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Table 2 Evaluation of feature selection methods on H3N2, HRV and RSV datasets using the top m genes (values represent classification accuracy)

From: Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

 

Feature

KNN

 

NB

 

SVM

 
 

selection

Number of features

 

Number of features

 

Number of features

 
 

method

1

10

20

30

40

50

 

1

10

20

30

40

50

 

1

10

20

30

40

50

 

H3N2

mRMR

58.8

76.5

82.4

88.2

88.2

88.2

 

64.7

76.5

76.5

70.6

70.6

76.5

 

58.8

70.6

64.7

70.6

76.5

88.2

 
 

F-statistic

58.8

82.4

88.2

88.2

88.2

94.1

 

64.7

82.4

88.2

94.1

94.1

94.1

 

58.8

88.2

88.2

88.2

88.2

100

 
 

ReliefF

64.7

47.1

70.6

76.5

82.4

82.4

 

70.6

52.9

82.4

88.2

88.2

94.1

 

52.9

70.6

94.1

100

94.1

94.1

 
 

MT-LASSO

52.9

70.6

76.5

94.1

88.2

100

 

64.7

70.6

64.7

76.5

82.4

76.5

 

58.8

82.4

70.6

94.1

100

100

 
 

TMRMR-C

100

100

100

100

100

100

 

94.1

100

100

100

100

100

 

88.2

100

94.1

94.1

94.1

100

 
 

TMRMR-M

100

100

100

100

100

100

 

94.1

94.1

100

100

100

100

 

94.1

100

94.1

94.1

100

100

 

HRV

mRMR

40.0

40.0

50.0

60.0

55.0

60.0

 

35.0

40.0

65.0

60.0

75.0

75.0

 

35.0

40.0

70.0

65.0

60.0

65.0

 
 

F-statistic

40.0

55.0

85.0

75.0

75.0

75.0

 

35.0

75.0

70.0

70.0

80.0

80.0

 

30.0

60.0

70.0

85.0

75.0

80.0

 
 

ReliefF

45.0

55.0

55.0

55.0

60.0

60.0

 

50.0

50.0

40.0

50.0

50.0

60.0

 

55.0

50.0

45.0

50.0

60.0

60.0

 
 

MT-LASSO

40.0

50.0

50.0

65.0

60.0

60.0

 

40.0

55.0

60.0

70.0

75.0

75.0

 

40.0

55.0

50.0

60.0

70.0

75.0

 
 

TMRMR-C

55.0

80.0

80.0

75.0

85.0

75.0

 

50.0

75.0

85.0

90.0

85.0

80.0

 

50.0

75.0

85.0

85.0

75.0

75.0

 
 

TMRMR-M

55.0

60.0

75.0

75.0

80.0

75.0

 

50.0

75.0

85.0

80.0

80.0

80.0

 

50.0

70.0

80.0

75.0

80.0

75.0

 

RSV

mRMR

84.2

68.4

68.4

63.2

63.2

68.4

 

79.0

68.4

68.4

63.2

57.9

68.4

 

84.2

68.4

57.9

57.9

57.9

57.9

 
 

F-statistic

79.0

63.2

68.4

63.2

63.2

63.2

 

79.0

68.4

79.0

73.7

57.9

68.4

 

84.2

73.7

79.0

68.4

68.4

63.2

 
 

ReliefF

73.7

47.4

36.8

31.6

36.8

42.1

 

68.4

68.4

79.0

52.6

47.4

47.4

 

68.4

68.4

52.6

47.4

47.4

42.1

 
 

MT-LASSO

79.0

57.9

52.6

47.4

57.9

57.9

 

79.0

89.5

73.7

63.2

57.9

52.6

 

79.0

73.7

57.9

52.6

52.6

57.9

 
 

TMRMR-C

79.0

84.2

73.7

84.2

84.2

84.2

 

79.0

84.2

84.2

84.2

84.2

84.2

 

79.0

84.2

79.0

89.5

84.2

84.2

 
 

TMRMR-M

79.0

84.2

84.2

73.7

73.7

73.7

 

79.0

84.2

84.2

84.2

84.2

84.2

 

79.0

73.7

84.2

73.7

79.0

79.0

 

Average

mRMR

61.0

61.6

66.9

70.5

68.8

72.2

 

59.6

61.6

70.0

64.6

67.8

73.3

 

59.3

59.7

64.2

64.5

64.8

70.4

 
 

F-statistic

59.3

66.8

80.6

75.5

75.5

77.4

 

59.6

75.3

79.1

79.3

77.3

80.8

 

57.7

74.0

79.1

80.6

77.2

81.1

 
 

ReliefF

61.1

49.8

54.1

54.4

59.7

61.5

 

63.0

57.1

67.1

63.6

61.9

67.2

 

58.8

63.0

63.9

65.8

67.2

65.4

 
 

MT-LASSO

57.3

59.5

59.7

68.8

68.7

72.6

 

61.2

71.7

66.1

69.9

71.7

68.0

 

59.3

70.3

59.5

68.9

74.2

77.6

 
 

TMRMR-C

78.0

88.1

84.6

86.4

89.7

86.4

 

74.4

86.4

89.7

91.4

89.7

88.1

 

72.4

86.4

86.0

89.5

84.4

86.4

 
 

TMRMR-M

78.0

81.4

86.4

82.9

84.6

82.9

 

74.4

84.4

89.7

88.1

88.1

88.1

 

74.4

81.2

86.1

80.9

86.3

84.7

 
  1. Bold represents the best average accuracy