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Table 5 Averaged AUC values (%) of projection method and Cosine kernel for the considered datasets

From: Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence

Dataset

Projection method

Cosine kernel

Live disorder data

73.71  ± 1.21

65.63  ± 2.75

Sonar data

89.57  ± 1.37

67.46  ± 4.32

Breast data

99.37  ± 0.06

97.99  ± 3.09

Cystic (q=1)

79.25  ± 1.80

76.89  ± 3.24

Cystic (q=2)

80.55  ± 1.38

79.80  ± 1.84

Cystic (q=3)

78.27  ± 1.59

70.10  ± 4.01

Cystic (q=4)

73.24  ± 2.15

58.52  ± 4.95

Cystic (q=5)

64.38  ± 3.85

52.13  ± 4.30

Cystic (q=6)

69.26  ± 2.11

60.72  ± 5.36

Cystic (q=7)

64.6  ± 2.38

58.54  ± 3.80

Cystic (q=8)

63.17  ± 2.89

63.66  ± 3.21

Cystic (q=9)

54.21  ± 2.30

43.05  ± 2.38

Leukemia (q=1)

94.36  ± 0.43

90.73  ± 1.94

Leukemia (q=2)

94.38  ± 0.79

69.45  ± 4.81

Leukemia (q=3)

95.20  ± 0.49

69.97  ± 6.58

Leukemia (q=4)

94.73  ± 0.45

73.33  ± 5.99

Leukemia (q=5)

91.23  ± 0.44

71.81  ± 9.62

Leukemia (q=6)

93.19  ± 0.66

79.08  ± 6.96

Leukemia (q=7)

90.56  ± 1.25

65.26  ± 6.90

Leukemia (q=8)

87.81  ± 0.98

58.31  ± 2.87

Leukemia (q=9)

87.52  ± 1.20

55.88  ± 3.82

NSCLC

52.91  ± 4.45

48.64  ± 5.30

  1. Bold face represents best performance for the considered data sets in the compared two methods: Projection method and Cosine Kernel method, and no marks are made if two methods show comparable performance