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Table 2 Performance outcome of the k-nn 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

K value Validation method Classification accuracy (%) Validation method Classification accuracy (%)
1 Conventional validation 94.66 ± 0.56 Ten-fold cross-validation 96.65 ± 0.69
2 94.81 ± 0.42 96.35 ± 0.93
3 93.92 ± 0.68 95.06 ± 0.34
4 94.53 ± 0.47 94.41 ± 0.62
5 94.25 ± 0.94 95.02 ± 1.21
6 93.95 ± 1.15 94.41 ± 1.35
7 92.70 ± 1.27 93.20 ± 1.08
8 92.57 ± 0.85 94.44 ± 1.28
9 92.49 ± 0.63 93.32 ± 0.74
10 91.77 ± 0.77 92.17 ± 1.46