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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%

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BMC Bioinformatics

ISSN: 1471-2105

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