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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%