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Table 4 Comparison of various classifiers in cancer prognosis datasets

From: Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction

Dataset

Error rate on 2X 5-fold CV (%)

Error rate on the test set (%)

 

TSP

k- TSP

SVM

k -TSP+SVM

TSP

k -TSP

SVM

k -TSP+SVM

van't Veer Breast cancer

    

68.4

47.3

31.6

10.5

Wang Breast cancer

41.4 ± 2.5

37.3 ± 2.8

30.1 ± 1.8

32.9 ± 3.0

    

Lung adenocarcinoma

41.2 ± 2.5

40.7 ± 2.5

29.7 ± 3.5

27.8 ± 2.9

    

Medulloblastoma

48.3 ± 4.3

49.6 ± 7.4

37.5 ± 5.9

35.8 ± 4.8

    
  1. In the van't Veer breast cancer dataset where there is an independent test set, the error rate on the test set was obtained at the gene selection level at which the training set achieves its minimum LOOCV error rate. In the other datasets where there is no separate test set, the error rates (mean ± SE) were obtained from two experiments of five-fold cross validation.
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BMC Bioinformatics

ISSN: 1471-2105

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