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Table 4 Performance outcome of the k-nn 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

K value Validation method Classification accuracy (%) Validation method Classification accuracy (%)
1 Conventional validation 97.53 ± 0.29 Ten-fold-cross validation 98.26 ± 0.32
2 97.62 ± 0.58 97.11 ± 0.75
3 97.56 ± 1.25 97.52 ± 0.97
4 96. 23 ± 1.36 97.67 ± 0.46
5 96.92 ± 2.54 97.53 ± 0.48
6 95.25 ± 1.27 97.82 ± 0.62
7 95.51 ± 1.58 96.65 ± 0.96
8 95.88 ± 1.69 96.41 ± 1.19
9 95.88 ± 0.58 96.65 ± 1.36
10 95.14 ± 1.69 96.25 ± 0.85