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Table 6 Confusion matrix for the k-nn classifier (best results: k value = 1; Normalisation = bipolar)

From: A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals

  Predicted
   N A P Accuracy
  N 17 0 0 100%
Actual A 0 26 0 100%
  P 0 1 24 96%