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Table 5 Confusion matrix for the SVM classifier (Best results: kernel = rbf; 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 16 0 1 94.12%
Actual A 1 25 0 96.13%
  P 2 1 22 88.00%