Skip to main content

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