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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