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Table 2 Comparison of classification accuracies (with 10-fold cross-validation and 10 times repetitions each case) determined by various feature subsets selected through various feature selection algorithms

From: Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer

Dataset

Classifier

Feature selection algorithm

mRMR

INMIFS

DFS

SVM-RFE-CBR

VWMRmR

Avg. (std)

Avg. (std)

Avg. (std)

Avg. (std)

Avg. (std)

Exp

C4.5

72.67(3.29)

73.98(2.08)

72.73(2.08)

74.34(3.35)a

73.29(3.06)

Naive Bayes

83.04(0.88)

83.66(0.83)

80.94(0.72)

86.52(0.66)a

84.47(0.83)

KNN

89.19(0.52)a

88.01(0.66)

84.35(1.16)

86.15(0.51)

88.01(0.83)

AdaBoost

81.86(1.30)

81.43(1.42)

74.47(2.14)

85.16(1.19)a

81.37(0.97)

ExpExon

C4.5

77.08(1.69)

75.09(2.72)

73.23(3.43)

75.03(2.76)

77.45(1.73)a

Naive Bayes

86.27(0.62)

85.22(0.57)

84.10(0.43)

85.90(0.59)

85.46(0.60)

KNN

87.58(0.65)

87.45(1.01)

87.01(1.19)

84.35(0.39)

87.83(0.32)a

AdaBoost

84.03(1.17)

82.24(1.99)

77.20(1.44)

83.35(0.71)

84.47(1.24)a

hMethyl27

C4.5

72.05(2.27)

70.87(1.26)

70.99(1.94)

72.17(2.55)a

71.99(2.18)

Naive Bayes

76.21(1.01)

78.82(1.26)

80.94(1.28)

80.68(1.39)

80.99(1.69)a

KNN

82.48(1.09)

83.48(0.89)

82.80(0.83)

84.41(0.99)a

83.23(0.97)

AdaBoost

74.29(1.74)

77.89(1.38)

77.52(2.41)

78.14(1.77)

80.56(1.58)a

Gistic2

C4.5

73.60(1.53)a

68.01(2.45)

71.49(1.42)

72.55(0.76)

67.95(2.07)

Naive Bayes

78.32(0.85)a

76.89(1.05)

75.84(0.46)

78.07(0.42)

77.20(1.02)

KNN

76.02(0.73)

75.22(0.85)

74.10(0.42)

76.52(1.27)a

74.84(0.60)

AdaBoost

78.70(0.72)a

78.57(0.73)

75.84(0.80)

78.20(0.46)

77.33(0.98)

Pathway

C4.5

70.50(1.83)a

66.65(2.70)

68.82(3.28)

64.97(2.72)

66.89(3.26)

activity

Naive Bayes

79.44(1.19)

82.30(1.56)

66.65(0.78)

76.83(1.02)

83.66(0.72)a

KNN

78.32(0.99)

77.08(0.80)

80.68(0.90)a

70.37(1.17)

78.32(0.80)

AdaBoost

77.39(2.07)

78.94(1.86)

70.87(1.32)

76.15(1.38)

79.63(1.37)a

  1. aThe best mean scores of percentage accuracy for each row is highlighted in bold font