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Table 14 Weighted accuracies of various models constructed on the support set of 70 genes identified by van 't Veer et al.

From: Breast cancer prognosis by combinatorial analysis of gene expression data

Method

Support set of 70 genes (van 't Veer [33])

 

Training set (78 cases)

Test set (19 cases)

Entire dataset (78+19 cases)

 

Direct classification (%)

Cross-validation (%)

Direct classification (%)

Cross-validation (%)

Artificial neural networks (1 hidden layer)

100.00

80.16

42.11

71.65

Support vector machines (linear kernel)

96.15

82.01

57.90

77.03

Logistic regression

100.00

73.52

47.37

73.79

Nearest neighbors

100.00

71.58

63.16

71.77

Decision trees (C4.5)

96.15

60.49

42.11

61.89

95% CI

96.61–100

66.09–81.01

42.15–58.91

66.27–76.18

  1. The 70-gene set was reported by van 't Veer and coworkers elsewhere [4]. CI, confidence interval; LAD, logical analysis of data.