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Table 3 Performance outcome of the SVM Classifier for bipolar-normalised data

From: A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals

Kernel

Validation method

Classification accuracy (%)

Linear

Conventional validation

89.17 ± 1.32

RBF

91.36 ± 1.69

Linear

Ten-fold cross-validation

89.91 ± 2.39

RBF

92.19 ± 1.58

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BMC Bioinformatics

ISSN: 1471-2105

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