Skip to main content

Table 1 Performance outcome of the SVM classifier for binary-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

86.91 ± 1.47

RBF

89.54 ± 0.39

Linear

Ten-fold cross-validation

90.13 ± 0.54

RBF

91.47 ± 1.66