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Table 6 Comparison of classifiers (Gaucher dataset)

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

 

Ciphergen C

Cromwell B

DLDA

77 (50–100)

73 (50–92)

Naive Bayes

73 (50–92)

68 (42–92)

PCDA

81 (58–100)

81 (50–100)

SVM

90 (75–100)

86 (67–100)

Tree

75 (42–92)

72 (42–92)

  1. Average classification accuracy (95% confidence interval) of Gaucher versus control on 500 test sets (size of training sets: 27, size of test sets: 12). Pre-processing was done using setting C for Ciphergen and setting B for Cromwell. Classifiers without feature selection.