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Table 4 An overview of the published classification results in van ’t Veer et al. breast cancer data

From: Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

Authors

Cross Validation

Train-Test

Features

 

Samples

Accuracy (%)

Samples

Accuracy (%)

 

[23]

65/78

83.3

17/19

89.5

70

[21]

-

92.13

-

91.67

3

[61]

60/78

76.90

15/19

78.9

231

[61]

-

76.20

15/19

78.9

231

[61]

62/78

81.40

17/19

89.5

44

[60]

88/97

90.7

-

-

50

[62]

49/78

62.9

-

-

-

[63]

-

-

17/19

89.47

834

[38]

66/97

68.04

-

-

8

mAP-KL (RF)

-

75.93

13/19

68.42

6

mAP-KL (KNN)

-

56.35

5/19

26.32

6

mAP-KL (SVM-linear)

-

71.47

11/19

57.89

6

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BMC Bioinformatics

ISSN: 1471-2105

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