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Table 5 Comparison of classifiers (ovarian cancer dataset)

From: Classification-based comparison of pre-processing methods for interpretation of mass spectrometry generated clinical datasets

 

Ciphergen C

Cromwell A

 

CM10/ Q10

CM10

Q10

CM10/ Q10

CM10

Q10

DLDA

77 (57–93)

71 (50–93)

71 (50–86)

78 (64–93)

74 (57–93)

70 (43–93)

Naive Bayes

70 (50–93)

66 (43–86)

63 (43–86)

69 (50–86)

68 (50–86)

60 (36–86)

PCDA

73 (50–93)

70 (50–93)

67 (43–86)

77 (57–93)

73 (57–86)

77 (50–93)

SVM

77 (57–93)

71 (50–86)

70 (50–86)

79 (64–93)

77 (57–93)

79 (50–93)

Tree

69 (43–93)

69 (43–93)

64 (36–86)

58 (36–79)

58 (36–79)

52 (29–71)

  1. Average classification accuracy (95% confidence interval) of ovarian cancer versus control on 1000 test sets (size of training sets: 14, size of test sets: 14). Pre-processing was done using setting C for Ciphergen and setting A for Cromwell. Classifiers without feature selection.
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